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TWM627987U - Hazard Prediction and Prevention System - Google Patents

Hazard Prediction and Prevention System Download PDF

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Publication number
TWM627987U
TWM627987U TW110203406U TW110203406U TWM627987U TW M627987 U TWM627987 U TW M627987U TW 110203406 U TW110203406 U TW 110203406U TW 110203406 U TW110203406 U TW 110203406U TW M627987 U TWM627987 U TW M627987U
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event
module
notification
limited
detection
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許維綸
雅科夫列夫 安德里
布賴申科 斯維特拉娜
陳柏翰
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許維綸
雅科夫列夫 安德里
布賴申科 斯維特拉娜
陳柏翰
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Priority to TW110203406U priority Critical patent/TWM627987U/en
Publication of TWM627987U publication Critical patent/TWM627987U/en

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Abstract

一種危險預測預防系統,其特徵是,該系統包括:一處理器,係包含相互連接之一事件辨識系統及一資料庫服務;一動作偵測資料收集傳輸器,係連接該處理器之該事件辨識系統;一反應裝置,係連接該處理器之該事件辨識系統;該處理器連接設有一更新服務,利用該系統透過該動作偵測資料收集傳輸器,該系統持續偵測室內人員動入狀態,透過該事件辨識系統對偵測範圍內之人員做動作判斷,而在對對象進入危險情形或動作時,由該反應裝置針對目標對象做出反應。 A risk prediction and prevention system, characterized in that the system includes: a processor, which includes an event identification system and a database service connected to each other; a motion detection data collection and transmission transmitter, which is connected to the event of the processor Identification system; a reaction device is connected to the event identification system of the processor; the processor is connected with an update service, and the system is used to collect the transmitter through the motion detection data, and the system continuously detects the movement state of indoor personnel , through the event identification system to judge the movement of the people within the detection range, and when the object enters a dangerous situation or action, the reaction device will respond to the target object.

Description

危險預測預防系統 Hazard Prediction and Prevention System

本創作係有關一種系統,係指一種透過動作偵測人員動作狀態及透過事件辨識對偵測範圍內之人員做動作判斷,並在對象進入危險情形或動作針對目標對象作出反應之危險預測預防系統。 This creation is related to a system, which refers to a danger prediction and prevention system that detects the movement state of people through motion and judges the movement of people within the detection range through event recognition, and responds to the target object when the object enters a dangerous situation or moves. .

按現今社會上,外頭之街道與空間相對於室內環境,尤其是每個人熟悉的室內空間,如:個人住宅、辦公室空間,外頭之街道與空間其危險性是無可避免大於室內空間的,也因此現在社會上針對外頭街道與空間,多有複數警戒網以及通報手段。而在這種現況之下,反而造成室內空間之安全性,成為容易被忽視的一塊。我們很容易在新聞中看到,由於室內空間中有很多危險因素,對於行動不便的人,或是孩童、寵物,易造成潛在危險。甚至不只是空間本身造成危險,有時是在室內空間的人有危及其生命之突發狀況,但因為其熟識的人正好外出,或是其為獨居者,因此往往因為無法在當下做處理或通報,造成憾事之發生。目前在室內環境中,以下為常見到的危險情形:1.獨居老人在室內環境,因為外在環境因素,例如:樓梯、房間地面高低差、傢俱倒下等;或是個人身體因素,例如:暈眩、服用藥物之副作用等而跌倒、昏迷,容易造成出血外傷。2.小孩、嬰兒因無辨認能力,在室內環境中造成危險,例如誤進入洗衣機、開啟窗戶、爬上高處跌落等。3.外人侵入,例如:強盜,雖然有先進針對此提出發明創作,然其仍未能提供具有危險預測預防系統動作偵 測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測;通報連線,與單位連線即刻救援之可預測危險監測並通報之整體作解決。 In today’s society, the outside streets and spaces are unavoidably more dangerous than the interior spaces, especially the interior spaces that everyone is familiar with, such as personal residences and office spaces. Therefore, in today's society, there are many warning nets and notification methods for the streets and spaces outside. Under this situation, the safety of indoor space has become an easily overlooked piece. We can easily see in the news that because there are many dangerous factors in indoor space, it is easy to cause potential dangers for people with limited mobility, or children and pets. It’s not even the space itself that causes danger. Sometimes people in the indoor space have unexpected situations that endanger their lives, but because people they know happen to go out, or they live alone, they are often unable to deal with it in the moment. Or report, causing regret. At present, in the indoor environment, the following are the common dangerous situations: 1. The elderly living alone are in the indoor environment because of external environmental factors, such as stairs, room floor height difference, falling furniture, etc.; or personal physical factors, such as : Dizziness, side effects of taking medicines, etc., fall, coma, easy to cause bleeding and trauma. 2. Children and infants may cause danger in the indoor environment due to their lack of recognition ability, such as entering the washing machine by mistake, opening the window, climbing up and falling, etc. 3. Intrusion by outsiders, such as robbers, although there are advanced inventions and creations for this, they still fail to provide action detection with a risk prediction and prevention system. Action trend prediction events; identification model training; preventive mechanisms; large-scale detection;

本案創作人透過美國專利US10121361B2)(預防)(跌倒)、(雷達)(跌倒)、((雷達)OR(動作預測))((跌倒)OR(室內危險))(預防)作為關鍵字,篩選出9件前案如下,例如習用(一)美國、大陸、中華民國等(公開號:US9891313B2/TWI585430B/TWI625536B/TWI621869B/CN106125072B)「雷達裝置與安全監控系統」專利,依其申請專利範圍內容得知係為「1.一種雷達裝置,用於偵測一待測物,包括:一信號源,產生一入射信號;一第一天線,傳送該入射信號至該待測物;一第二天線,接收來自該待測物之一反射信號;以及一混頻器,根據該入射信號和該反射信號,產生一基頻信號;其中該第一天線為一圓極化天線且該第二天線為一線性極化天線,或是該第一天線為一線性極化天線且該第二天線為一圓極化天線;其中該第一天線和該第二天線為相異且獨立之二天線。2.如申請專利範圍第1項所述之雷達裝置,其中該雷達裝置為一都卜勒雷達,而該基頻信號包括該待測物之一速度資訊。3.如申請專利範圍第1項所述之雷達裝置,其中該圓極化天線所接收或傳送之信號具有正交極化方向以及恰為90度之相位差。4.如申請專利範圍第1項所述之雷達裝置,其中該線性極化天線所接收或傳送之信號具有正交極化方向以及恰為0度之相位差。」、「1.一種雷達裝置,用於偵測一待測物,包括:一信號源,產生一入射信號;一第一天線,傳送該入射信號至該待測物;一第二天線,接收來自該待測物之一反射信號;一混頻器,根據該入射信號和該反射信號,產生一基頻信號;以及一90度耦合器,其中該第二天線係經由該90度耦合器耦接至該混頻器,或是該信號源係經由該90度耦合器耦接至該第一天線;其中該90度耦合 器具有一第一輸入端、一第二輸入端、一第一輸出端,以及一第二輸出端,其中由該第一輸入端或該第二輸入端進入之信號將分割為二路,並分別從該第一輸出端和該第二輸出端出來,而該混頻器係用以接收來自該90度耦合器之二路已分割之該信號;其中該第一輸出端和該第二輸出端之間之一信號相位差恰為90度。2.如申請專利範圍第1項所述之雷達裝置,其中該雷達裝置為一都卜勒雷達,而該基頻信號包括該待測物之一速度資訊。3.如申請專利範圍第1項所述之雷達裝置,其中該90度耦合器之該第一輸入端係耦接至該第二天線,該90度耦合器之該第二輸入端係經由一匹配電阻器耦接至一接地電位,而該90度耦合器之該第一輸出端和該第二輸出端皆耦接至該混頻器。4.如申請專利範圍第1項所述之雷達裝置,其中該90度耦合器之該第一輸入端和該第二輸入端皆耦接至該第二天線,而該90度耦合器之該第一輸出端和該第二輸出端皆耦接至該混頻器。5.如申請專利範圍第1項所述之雷達裝置,其中該90度耦合器之該第一輸入端係耦接至該信號源,該90度耦合器之該第二輸入端係經由一匹配電阻器耦接至一接地電位,而該90度耦合器之該第一輸出端和該第二輸出端皆耦接至該第一天線。6.如申請專利範圍第1項所述之雷達裝置,其中該90度耦合器之該第一輸入端和該第二輸入端皆耦接至該信號源,而該90度耦合器之該第一輸出端和該第二輸出端皆耦接至該第一天線。」、「1.一種安全監控系統,用於保護一使用者,包括:一雷達裝置,用於偵測該使用者之一狀態,並產生一基頻信號;一信號處理器,解析該基頻信號,並產生一控制信號;一反應元件;以及一控制器,根據該控制信號來操作該反應元件,以維護該使用者之安全;其中該狀態係為一位移、一速度,或是一加速度。2.如申請專利範圍第1項所述之安全監控系統,其中該反應元件為一車輪馬達。3.如申請專利範圍第2項所述之安 全監控系統,其中當偵測到該使用者之一移動速度下降時,該控制器即調降該車輪馬達之一轉動速度,而當偵測到該使用者之該移動速度上升時,該控制器即調升該車輪馬達之該轉動速度。4.如申請專利範圍第1項所述之安全監控系統,其中該反應元件為一充氣氣墊。5.如申請專利範圍第4項所述之安全監控系統,其中當偵測到該使用者發生一跌倒事件時,該控制器即控制該充氣氣墊立刻充飽氣體,以支撐住該使用者。6.如申請專利範圍第1項所述之安全監控系統,其中該反應元件為一警示器。7.如申請專利範圍第6項所述之安全監控系統,其中當偵測到該使用者發生一跌倒事件時,該控制器即控制該警示器發出閃光和聲音。8.如申請專利範圍第1項所述之安全監控系統,其中該雷達裝置包括:一信號源,產生一入射信號;一第一天線,傳送該入射信號至該使用者;一第二天線,接收來自該使用者之一反射信號;一混頻器,根據該入射信號和該反射信號,產生一基頻信號;以及一90度耦合器,其中該第二天線係經由該90度耦合器耦接至該混頻器,或是該信號源係經由該90度耦合器耦接至該第一天線。9.如申請專利範圍第1項所述之安全監控系統,其中該雷達裝置包括:一信號源,產生一入射信號;一第一天線,傳送該入射信號至該使用者;一第二天線,接收來自該使用者之一反射信號;以及一混頻器,根據該入射信號和該反射信號,產生一基頻信號;其中該第一天線為一圓極化天線且該第二天線為一線性極化天線,或是該第一天線為一線性極化天線且該第二天線為一圓極化天線。10.如申請專利範圍第8項所述之安全監控系統,其中該90度耦合器包括;一第一輸入端;一第二輸入端;一第一輸出端;以及一第二輸出端,其中由該第一輸入端或該第二輸入端進入之信號將分割為二路,並分別從該第一輸出端和該第二輸出端出來,而該混頻器係用以接收來自該90度耦合器之二路已 分割之該信號;其中該第一輸出端和該第二輸出端之間之一信號相位差恰為90度。」,是前案一專利揭露一種雷達裝置監控系統、方法、裝置,利用都卜勒雷達與90度相位差方式偵測,其系統仍需要一控制器控制信號操作反應元件;其並未揭露危險預測預防系統動作偵測;動作趨勢預測事件辨識模型訓練;預防機制;大面積偵測,亦未揭露於雷達偵測、紅外線、光達、攝像等獲取相關資訊,並進行動做辨識與預測。 The creator of this case uses US patent US10121361B2) (prevention) (fall), (radar) (fall), ((radar) OR (motion prediction)) ((fall) OR (indoor hazard)) (prevention) as a keyword, filter The 9 previous cases are as follows, such as the conventional (1) U.S., Mainland, Republic of China, etc. (Publication No.: US9891313B2/TWI585430B/TWI625536B/TWI621869B/CN106125072B) "radar device and security monitoring system" patent, according to the scope of the patent application. Known as "1. A radar device for detecting an object to be tested, comprising: a signal source that generates an incident signal; a first antenna that transmits the incident signal to the object to be tested; a second line to receive a reflected signal from the object to be tested; and a mixer to generate a fundamental frequency signal according to the incident signal and the reflected signal; wherein the first antenna is a circularly polarized antenna and the second The line is a linearly polarized antenna, or the first antenna is a linearly polarized antenna and the second antenna is a circularly polarized antenna; wherein the first antenna and the second antenna are different and independent The second antenna. 2. The radar device as described in item 1 of the patent application scope, wherein the radar device is a Doppler radar, and the fundamental frequency signal includes speed information of the object to be measured. 3. As in the patent application The radar device as described in Item 1 of the scope, wherein the signals received or transmitted by the circularly polarized antenna have orthogonal polarization directions and a phase difference of exactly 90 degrees. 4. The radar as described in Item 1 of the scope of the patent application device, wherein the signal received or transmitted by the linearly polarized antenna has orthogonal polarization directions and a phase difference of exactly 0 degrees.", "1. A radar device for detecting an object to be measured, comprising: a a signal source, generating an incident signal; a first antenna, transmitting the incident signal to the object to be tested; a second antenna, receiving a reflected signal from the object to be tested; a mixer, according to the incident signal and the reflected signal to generate a fundamental frequency signal; and a 90-degree coupler, wherein the second antenna is coupled to the mixer through the 90-degree coupler, or the signal source is coupled through the 90-degree is coupled to the first antenna; wherein the 90-degree coupling The device has a first input terminal, a second input terminal, a first output terminal, and a second output terminal, wherein the signal entering from the first input terminal or the second input terminal will be divided into two channels, and respectively From the first output end and the second output end, the mixer is used for receiving the signal from the 90-degree coupler that has been divided by two channels; wherein the first output end and the second output end The phase difference between one of the signals is exactly 90 degrees. 2. The radar device of claim 1, wherein the radar device is a Doppler radar, and the fundamental frequency signal includes speed information of the object to be measured. 3. The radar device as described in claim 1, wherein the first input end of the 90-degree coupler is coupled to the second antenna, and the second input end of the 90-degree coupler is connected via A matching resistor is coupled to a ground potential, and the first output terminal and the second output terminal of the 90-degree coupler are both coupled to the mixer. 4. The radar device as described in claim 1, wherein the first input end and the second input end of the 90-degree coupler are both coupled to the second antenna, and the 90-degree coupler Both the first output terminal and the second output terminal are coupled to the mixer. 5. The radar device as described in claim 1, wherein the first input end of the 90-degree coupler is coupled to the signal source, and the second input end of the 90-degree coupler is matched through a matching The resistor is coupled to a ground potential, and the first output terminal and the second output terminal of the 90-degree coupler are both coupled to the first antenna. 6. The radar device as described in claim 1, wherein the first input end and the second input end of the 90-degree coupler are both coupled to the signal source, and the first input end of the 90-degree coupler is coupled to the signal source. An output end and the second output end are both coupled to the first antenna. ", "1. A security monitoring system for protecting a user, comprising: a radar device for detecting a state of the user and generating a base frequency signal; a signal processor for analyzing the base frequency signal, and generate a control signal; a reaction element; and a controller, according to the control signal to operate the reaction element to maintain the safety of the user; wherein the state is a displacement, a speed, or an acceleration 2. The safety monitoring system as described in item 1 of the scope of the patent application, wherein the response element is a wheel motor. 3. The safety monitoring system as described in item 2 of the patent application scope Full monitoring system, wherein when detecting that a moving speed of the user drops, the controller reduces a rotation speed of the wheel motor, and when detecting that the moving speed of the user increases, the control The device then increases the rotational speed of the wheel motor. 4. The security monitoring system as described in claim 1, wherein the reaction element is an inflatable air cushion. 5. The safety monitoring system as described in claim 4, wherein when a fall event of the user is detected, the controller controls the inflatable air cushion to immediately fill with air to support the user. 6. The safety monitoring system as described in claim 1, wherein the response element is a warning device. 7. The security monitoring system as described in claim 6, wherein when a fall event of the user is detected, the controller controls the warning device to emit light and sound. 8. The security monitoring system as described in claim 1, wherein the radar device comprises: a signal source that generates an incident signal; a first antenna that transmits the incident signal to the user; a second day a line that receives a reflected signal from the user; a mixer that generates a fundamental frequency signal based on the incident signal and the reflected signal; and a 90-degree coupler through which the second antenna passes The coupler is coupled to the mixer, or the signal source is coupled to the first antenna via the 90-degree coupler. 9. The security monitoring system as described in claim 1, wherein the radar device comprises: a signal source to generate an incident signal; a first antenna to transmit the incident signal to the user; a second day line to receive a reflected signal from the user; and a mixer to generate a fundamental frequency signal according to the incident signal and the reflected signal; wherein the first antenna is a circularly polarized antenna and the second antenna is a linearly polarized antenna, or the first antenna is a linearly polarized antenna and the second antenna is a circularly polarized antenna. 10. The security monitoring system of claim 8, wherein the 90-degree coupler comprises: a first input end; a second input end; a first output end; and a second output end, wherein The signal entering from the first input terminal or the second input terminal will be divided into two channels, and come out from the first output terminal and the second output terminal respectively, and the mixer is used to receive the signal from the 90 degree The second way of the coupler has been The signal is divided; wherein a signal phase difference between the first output end and the second output end is exactly 90 degrees. ”, a patent in the previous case discloses a radar device monitoring system, method, and device, using Doppler radar and 90-degree phase difference to detect, the system still needs a controller to control the signal to operate the response element; it does not disclose the danger Prediction and prevention system motion detection; motion trend prediction event identification model training; prevention mechanism; large-area detection, also not disclosed in radar detection, infrared, lidar, camera, etc. to obtain relevant information, and conduct motion identification and prediction.

例如習用(二)中華民國專利公告號:TWI588785B「非接觸式監測系統及其方法」專利,依其請求項得知係為「1.一種非接觸式監測系統,係包括:一雷達偵測模組,分別連接至一雷達天線以及一微控制單元,藉由該雷達天線發射一雷達偵測訊號至一區域,以及藉由該雷達天線接收來自該區域之一雷達反射訊號,且傳送該雷達反射訊號至該微控制單元;一紅外線感測模組,連接至該微控制單元,感測該區域內的一生物體之熱源,以及傳送一紅外線感測訊號至該微控制單元;該微控制單元,分別連接至該雷達偵測模組、該紅外線感測模組及一通訊模組,接收及處理該雷達偵測模組傳送的該雷達反射訊號與該紅外線感測模組傳送的該紅外線感測訊號,且傳送一警報訊號至該通訊模組;至少一麥克風,連接至一音頻編碼/解碼器,用以接收該生物體發出的一第一語音訊號;一揚聲器,連接至該音頻編碼/解碼器,用以撥放由一遠程監控端所傳送的一第二語音訊號;該通訊模組,分別連接至該微控制單元及一天線,接收該微控制單元傳送的該警報訊號,且藉由該天線將該警報訊號傳送至該遠程監控端;以及一電源模組,分別連接至該雷達偵測模組、該紅外線感測模組、該微控制單元、該通訊模組及該音頻編碼/解碼器,且提供電源至該非接觸式監控系統及該音頻編碼/解碼器,其中,該雷達偵測模組或該紅外線感測模 組其中之一者監測到該生物體發生一緊急情況後,該微控制單元傳送該警報訊號至該通訊模組,並同時啟動該至少一麥克風以及該揚聲器,以進行該生物體與該遠程監控端的雙向語音通訊;以及其中該緊急情況為該生物體之跌倒及該生物體的異常動作。2.如申請專利範圍第1項所述之非接觸式監測系統,其中該雷達偵測模組或該紅外線感測模組其中之一者監測到該生物體發生該緊急情況後,該微控制單元傳送該警報訊號至該通訊模組,且該微控制單元啟動該雷達偵測模組偵測該生物體的一生命特徵資訊。3.如申請專利範圍第2項所述之非接觸式監測系統,其中該生命特徵資訊藉由該通訊模組以有線或無線方式傳送至該遠程監控端。4.如申請專利範圍第2項所述之非接觸式監測系統,其中該生命特徵資訊包括該生物體之呼吸時胸腔的起伏及該生物體之心臟跳動的心律。5.如申請專利範圍第1項所述之非接觸式監測系統,其中該生物體為一人體、一動物體及其他具有熱輻射之生物體之一者。6.如申請專利範圍第1項所述之非接觸式監測系統,其中該區域為浴室、廁所、廚房及其他區域空間之一者。7.如申請專利範圍第1項所述之非接觸式監測系統,其中該遠程監控端為智慧型手機、醫院、照護中心及其他設施或設備之一者。8.如申請專利範圍第1項所述之非接觸式監測系統,進一步包括:該音頻編碼/解碼器,分別連接至該至少一麥克風、該揚聲器及該微控制單元,且編碼該第一語音訊號及解碼該第二語音訊號;其中該通訊模組藉由該天線傳送該第一語音訊號至該遠程監控端,且該通訊模組藉由該天線接收該遠程監控端所傳送的該第二語音訊號。9.如申請專利範圍第1或第8項所述之非接觸式監測系統,其中該通訊模組係以有線或無線方式傳送該警報訊號與該第一語音訊號至該遠程監控端。10.如申請專利範圍第1或第8項所述之非接觸式監測系統,其中該通訊模組係以有線或無線方式接收 該遠程監控端所傳送的該第二語音訊號。11.如申請專利範圍第1項所述之非接觸式監測系統,其中該電源模組包括一交流電/直流電轉換器,係將該電源模組直接連接至一交流電源。12.如申請專利範圍第1項所述之非接觸式監測系統,其中該電源模組為一可充電電池。13.一種非接觸式監測方法,包括以下步驟:啟動一紅外線感測模組並開啟一非接觸式監測系統之一紅外線感測功能及感測在一區域中是否具有一生物體;該紅外線感測模組傳送一紅外線感測訊號至該非接觸式監測系統之一微控制單元,利用該微控制單元判斷在該區域中是否具有該生物體,其中若該微控制單元判斷在區域中不具有該生物體,則返回上一步驟,若該微控制單元判斷在該區域中具有該生物體,則進行下一步驟;啟動該紅外線感測模組及一雷達偵測模組並開啟該非接觸式監測系統之一雷達偵測功能及該紅外線感測功能,且監測在該區域中該生物體的運動;該雷達偵測模組或該紅外線感測模組其中之一者監測到該生物體發生一緊急情況,則進行下一步驟;利用該非接觸式監測系統之該微控制單元及一通訊模組發送一警報訊號至一遠程監控端,並同時啟動至少一麥克風以及一揚聲器,以進行該生物體與該遠程監控端的雙向語音通訊;以及利用該雷達偵測模組偵測該生物體的一生命特徵資訊,且利用該通訊模組傳送該生命特徵資訊至該遠程監控端,其中該緊急情況為該生物體跌倒及該生物體的異常動作。14.如申請專利範圍第13項所述之非接觸式監測方法,其中該生命特徵資訊包括該生物體之呼吸時胸腔的起伏及該生物體之心臟跳動的心律。15.如申請專利範圍第13項所述之非接觸式監測方法,其中該生物體為一人體、一動物體及其他具有熱輻射之物體之一者。16.如申請專利範圍第13項所述之非接觸式監測方法,其中該區域為浴室、廁所、廚房及其他區域空間之一者。17.如申請專利範圍第13項所述之非接觸式 監測方法,其中該遠程監控端為智慧型手機、醫院、照護中心及其他設施或設備之一者。」,是前案二揭露一種結合紅外線的雷達檢測系統,有線及無線監控生命,如:心跳、熱輻射。用於監控跌倒緊急事故,與醫院、照護中心連線;其並未揭露危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測。 For example, the Patent Bulletin No. of the Republic of China (2): TWI588785B "Non-contact monitoring system and method thereof" is known as "1. A non-contact monitoring system, which includes: a radar detection model. The group is respectively connected to a radar antenna and a microcontroller unit, and transmits a radar detection signal to an area through the radar antenna, and receives a radar reflection signal from the area through the radar antenna, and transmits the radar reflection a signal to the micro-control unit; an infrared sensing module connected to the micro-control unit to sense the heat source of an object in the area, and to transmit an infrared sensing signal to the micro-control unit; the micro-control unit, respectively connected to the radar detection module, the infrared sensor module and a communication module, to receive and process the radar reflection signal transmitted by the radar detection module and the infrared sensor transmitted by the infrared detection module signal, and transmits an alarm signal to the communication module; at least one microphone is connected to an audio encoder/decoder for receiving a first voice signal sent by the organism; a speaker is connected to the audio encoder/decoder The device is used to play a second voice signal sent by a remote monitoring terminal; the communication module is connected to the micro-control unit and an antenna respectively, receives the alarm signal sent by the micro-control unit, and uses The antenna transmits the alarm signal to the remote monitoring terminal; and a power module is connected to the radar detection module, the infrared detection module, the microcontroller unit, the communication module and the audio coding/ a decoder, and provides power to the non-contact monitoring system and the audio encoder/decoder, wherein the radar detection module or the infrared detection module After one of the group monitors that an emergency occurs in the organism, the microcontroller transmits the alarm signal to the communication module, and simultaneously activates the at least one microphone and the speaker, so as to carry out the organism and the remote monitoring two-way voice communication of the terminal; and wherein the emergency is a fall of the organism and an abnormal movement of the organism. 2. The non-contact monitoring system described in item 1 of the scope of the application, wherein after one of the radar detection module or the infrared detection module detects the emergency situation occurs in the organism, the micro-controller The unit transmits the alarm signal to the communication module, and the micro-control unit activates the radar detection module to detect a vital sign of the organism. 3. The non-contact monitoring system as described in claim 2, wherein the vital sign information is transmitted to the remote monitoring terminal in a wired or wireless manner through the communication module. 4. The non-contact monitoring system as described in claim 2, wherein the vital sign information includes the thoracic ups and downs of the living body when breathing and the rhythm of the living body's heart beating. 5. The non-contact monitoring system as described in item 1 of the scope of the patent application, wherein the organism is one of a human body, an animal body, and other organisms with thermal radiation. 6. The non-contact monitoring system as described in item 1 of the scope of the application, wherein the area is one of bathrooms, toilets, kitchens and other areas. 7. The non-contact monitoring system as described in Item 1 of the scope of the application, wherein the remote monitoring terminal is one of a smartphone, a hospital, a nursing center and other facilities or equipment. 8. The non-contact monitoring system described in claim 1, further comprising: the audio encoder/decoder, respectively connected to the at least one microphone, the speaker and the microcontroller, and encoding the first voice signal and decoding the second voice signal; wherein the communication module transmits the first voice signal to the remote monitoring terminal through the antenna, and the communication module receives the second voice signal transmitted by the remote monitoring terminal through the antenna voice signal. 9. The non-contact monitoring system as described in claim 1 or claim 8, wherein the communication module transmits the alarm signal and the first voice signal to the remote monitoring terminal in a wired or wireless manner. 10. The non-contact monitoring system as described in claim 1 or claim 8, wherein the communication module is received in a wired or wireless manner The second voice signal sent by the remote monitoring terminal. 11. The non-contact monitoring system of claim 1, wherein the power module includes an AC/DC converter, and the power module is directly connected to an AC power source. 12. The non-contact monitoring system according to claim 1, wherein the power module is a rechargeable battery. 13. A non-contact monitoring method, comprising the steps of: starting an infrared sensing module and enabling an infrared sensing function of a non-contact monitoring system and sensing whether there is an object in an area; the infrared sensing The module transmits an infrared sensing signal to a micro-control unit of the non-contact monitoring system, and the micro-control unit is used to determine whether there is the organism in the area, and if the micro-control unit determines that the organism does not exist in the area If the micro-control unit determines that there is the biological body in the area, then proceed to the next step; activate the infrared sensing module and a radar detection module and turn on the non-contact monitoring system a radar detection function and the infrared detection function, and monitor the movement of the organism in the area; one of the radar detection module or the infrared detection module detects that an emergency occurs in the organism situation, then proceed to the next step; use the micro-control unit and a communication module of the non-contact monitoring system to send an alarm signal to a remote monitoring terminal, and activate at least one microphone and a speaker at the same time, so as to carry out the biological and Two-way voice communication of the remote monitoring terminal; and use the radar detection module to detect a vital sign information of the organism, and use the communication module to transmit the vital sign information to the remote monitoring terminal, wherein the emergency situation is the Falls of an organism and abnormal movements of that organism. 14. The non-contact monitoring method according to claim 13, wherein the vital sign information includes the thoracic ups and downs of the living body when breathing and the heartbeat of the living body's heart rhythm. 15. The non-contact monitoring method as described in Item 13 of the claimed scope, wherein the living body is one of a human body, an animal body and other objects with thermal radiation. 16. The non-contact monitoring method as described in item 13 of the patent application scope, wherein the area is one of bathrooms, toilets, kitchens and other areas. 17. The non-contact type as described in item 13 of the scope of the application A monitoring method, wherein the remote monitoring terminal is one of a smart phone, a hospital, a nursing center and other facilities or equipment. ”, which is the second case of the previous case, which disclosed a radar detection system combined with infrared, wired and wireless monitoring of life, such as: heartbeat, thermal radiation. It is used to monitor fall emergencies and connect with hospitals and care centers; it does not disclose the risk prediction and prevention system motion detection; motion trend prediction events; recognition model training; prevention mechanisms; large-area detection.

例如習用(三)中華民國專利公開號:TWI653610B「利用雷達之跌倒偵測系統及方法,及相關電腦程式產品」專利,依其申請專利範圍1-5得知係為「1、一種利用雷達之跌倒偵測系統,適用於一電子裝置,包括:一無線電波傳送器,具有至少一天線,用以組態來於一特定空間中傳送複數雷達發送信號;一無線電波接收器,具有至少一天線,用以組態來接收該特定空間中之複數雷達反射信號;一控制器,耦接至該無線電波傳送器與該無線電波接收器,用以組態來依據該等雷達發送信號與該等雷達反射信號進行一都卜勒分析,從而得知該特定空間中之一個體,決定該個體至該電子裝置之一最短距離與該個體之一面積,且依據該個體至該電子裝置間之該最短距離與該個體之該面積判斷該個體是否發生一跌倒狀態,其中該控制器更判斷該個體至該電子裝置間之該最短距離是否於一既定時間內增加一既定距離,且該個體之該面積是否於該既定時間內增加一既定面積,當該最短距離於該既定時間內增加該既定距離且該面積於該既定時間內增加該既定面積時,判定該個體發生該跌倒狀態。2、根據申請專利範圍第1項之利用雷達之跌倒偵測系統,其中當該最短距離於該既定時間內增加該既定距離且該面積於該既定時間內增加該既定面積時,該控制器更判斷該個體增加後之該最短距離與該面積是否大體上維持不變一既定期間,當該個體增加後之該最短距離與該面積大體上維持不變該既定期 間時,判定該個體發生該跌倒狀態。3、根據申請專利範圍第1項之利用雷達之跌倒偵測系統,其中該特定區域中包括一設定區域,該控制器更依據該等雷達發送信號與該等雷達反射信號判斷該個體是否進入或離開該設定區域,從而記錄相應該個體之一作息資料。4、根據申請專利範圍第1項之利用雷達之跌倒偵測系統,其中當該個體發生該跌倒狀態時,該控制器更由該個體中決定一節奏移動部位,且偵測該節奏移動部位之一移動狀態。5、根據申請專利範圍第4項之利用雷達之跌倒偵測系統,其中該節奏移動部位包括一肺部、一心臟、或一胸部。」,是前案三主要揭露一種雷達跌倒偵測方式與系統,藉由測量裝置與個體距離、面積、時間判定是否跌倒並進行通報。其並未揭露危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測。 For example, according to the patent application (3) Republic of China Patent Publication No.: TWI653610B "Fall Detection System and Method Using Radar, and Related Computer Program Products", according to the patent application scope 1-5, it is known as "1. A method of using radar A fall detection system, suitable for an electronic device, includes: a radio wave transmitter with at least one antenna configured to transmit multiple radar signals in a specific space; a radio wave receiver with at least one antenna , configured to receive complex radar reflection signals in the specific space; a controller, coupled to the radio wave transmitter and the radio wave receiver, configured to send signals and the radio waves according to the radars A Doppler analysis is performed on the radar reflection signal, so as to know an individual in the specific space, determine a shortest distance from the individual to the electronic device and an area of the individual, and according to the relationship between the individual and the electronic device The shortest distance and the area of the individual determine whether the individual is in a falling state, wherein the controller further determines whether the shortest distance between the individual and the electronic device increases by a predetermined distance within a predetermined time, and the individual's Whether the area is increased by a predetermined area within the predetermined time, when the shortest distance increases by the predetermined distance within the predetermined time and the area increases by the predetermined area within the predetermined time, it is determined that the individual has the fall state. 2. According to The fall detection system using radar according to claim 1, wherein when the shortest distance increases the predetermined distance within the predetermined time and the area increases the predetermined area within the predetermined time, the controller further determines the individual Whether the shortest distance and the area remain substantially unchanged after the increase for a predetermined period, when the individual increases, the shortest distance and the area remain substantially unchanged for the predetermined period When the time is up, it is determined that the individual has the fall state. 3. The fall detection system using radar according to item 1 of the scope of the patent application, wherein the specific area includes a set area, and the controller further judges whether the individual enters or not according to the radar transmission signals and the radar reflection signals. Leaving the setting area, thereby recording one of the daily schedules corresponding to the individual. 4. The fall detection system using radar according to item 1 of the scope of the application, wherein when the individual falls in the state of falling, the controller further determines a rhythmic movement part from the individual, and detects the rhythm movement part. a mobile state. 5. The fall detection system using radar according to item 4 of the scope of the patent application, wherein the rhythmically moving part includes a lung, a heart, or a chest. ”, is the first case three mainly discloses a radar fall detection method and system, by measuring the distance, area, and time between the device and the individual to determine whether to fall and report it. It does not disclose the risk prediction and prevention system motion detection; motion trend prediction events; recognition model training; prevention mechanisms; large-scale detection.

例如習用(四)中華民國專利公告號:TWI683278B「特定事件發生之確認管理系統以及利用偵測裝置之事件確認方法,以及相關電腦程式產品」專利,依其申請專利範圍得知係為「1.一種特定事件發生之確認管理系統,包括:一事件檢測裝置,包括:一第一網路連接單元;至少一偵測單元;一語音輸出元件;以及一控制器,旋轉接至該第一網路連接單元,該語音輸出元件與該檢測單元,並配置根據該檢測單元所探測到的數據判斷是否發生一特定事件,當判定發生該特定事件時,利用該第一網路連接單元透過一網路傳送一第一信號;以及一特定電子裝置,包括:一第二網路連接單元;以及一處理器,轉換接至該第二網路連接單元,置換來透過該網路由該事件偵測裝置接收到該第一信號,且相應於該第一信號,利用該第二網路連接單元透過該網路傳送一語音資料至該事件偵測裝置,其中該事件偵聽測裝置之該控制器係於接收到該語音資料之後,利用該語音輸出元件播放該語音資料。2.根據申請專利範 圍第1項之特定事件發生之確認管理系統,其中該事件偵測裝置更包括一語音輸入元件,可以配置來接收一語音確認資料且該事件偵測裝置利用該第一網路連接單元透過該網路傳送該語音確認資料至該特定電子裝置。3.根據申請專利範圍第2項之特定事件發生之確認管理系統,其中該事件檢測裝置之該控制器更於傳送該第一信號之前,執行一計時作業並當該計時作業結束前透過該語音輸入元件接收到一基準語音資料時,取消該第一信號之傳送。4.根據申請專利範圍第2項之特定事件發生的確認管理系統,其中該事件檢測裝置之該控制器更於利用該語音輸出元件播放該語音資料時,執行一計時作業,並且當該計時作業結束後通過由該語音輸入元件接收到的任何回覆語音資料時,通過該網路或一電信網路傳送一信息至一特定受信端進行緊急通報或透過該網路通知該特定電子裝置進行緊急通報。5.根據申請專利範圍第2項之特定事件發生之確認管理系統,其中當該事件檢測裝置之該控制器透過該語音輸入元件接收到一語音指令時,比該語音指令是否符合一既定語音指令,並且當該語音指令符合該既定語音指令時,利用該第一網路連接單元透過該網路傳送該第一信號。6.根據申請專利範圍第1項之特定事件發生之確認管理系統,其中該特定電子裝置之該處理器更相應該第一信號,利用一顯示單元透過一使用者介面顯示該特定事件之描述資訊,其中該特定事件之描述資訊描述在一特定空間中之一物體發生該特定事件時之位置。7.根據申請專利範圍第1項之特定事件發生之確認管理系統,其中該偵測單元係為一光波感測器或一雷達且該特定事件包括相應一物體之一跌倒事件。8.根據申請專利範圍第7項之特定事件發生之確認管理系統,其中該物體更包括重複數對應特定受信端,且該第一信號系透過該網路依序傳送至每個該等對應特定受信端。9根據申請專利範圍第1項之特定事件發生之確 認管理系統,其中該第一信號系透過該網路傳送至一網路伺服器,且由該網路伺服器傳送至該特定電子裝置,且該語音資料系透過該網路由該網路伺服器接收並傳送至該事件偵測裝置。10.一種利用偵測裝置之事件確認方法,適用於一事件偵測裝置,包括以下步驟:透過該事件偵測裝置之一偵測單元偵測一物體;依據該偵測單元所偵測之資料判斷是否正確發生一特定事件;當判定發生該特定事件時,利用該事件檢測裝置之一網路連接單元透過一網路傳送一第一信號至一特定電子裝置;透過該網路接收來自該特定電子裝置之相應於該第一信號之一語音資料;以及於接收到該語音資料之後,利用該事件檢測裝置之一語音輸出元件播放該語音資料。11.一種電腦程序產品,可以被一台機器裝載且執行一利用偵測裝置之事件確認方法,該電腦程式產品包括:一第一程式碼,可以利用至少一個偵測單元偵測一物體;一第二程式碼,依據依據該偵測單元所偵測到的資料判斷是否發生一特定事件;一第三程式碼,導致當判定發生該特定事件時,利用一網路連接單元透過一網路傳送一第一信號至一特定電子裝置;一第四程式碼,可以透過該網路接收來自該特定電子裝置之相應於該第一信號之一語音資料;以及一第五程式碼,得以於接收到該語音資料之後,利用一語音輸出元件播放該語音資料。」,是前案四揭露一種特定事件發生之確認管理系統為一事件檢測裝置:網路連接單元、偵測單元、語音輸出元件以及一控制器,主要為偵測危險發生但未揭露有做到預防警示作用;其並未揭露危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測;通報連線,與單位連線即刻救援。 For example, the conventional patent (4) Republic of China Patent Bulletin No.: TWI683278B "A Confirmation Management System for the Occurrence of a Specific Event and an Event Confirmation Method Using a Detection Device, and Related Computer Program Products", according to its patent application scope, is known as "1. A confirmation management system for the occurrence of a specific event, comprising: an event detection device, comprising: a first network connection unit; at least one detection unit; a voice output element; and a controller, which is rotated and connected to the first network a connection unit, the voice output element and the detection unit are configured to determine whether a specific event occurs according to the data detected by the detection unit; when it is determined that the specific event occurs, the first network connection unit is used to connect the unit through a network sending a first signal; and a specific electronic device including: a second network connection unit; and a processor, converted to the second network connection unit, and replaced by the event detection device to receive through the network to the first signal, and corresponding to the first signal, use the second network connection unit to transmit a voice data to the event detection device through the network, wherein the controller of the event detection device is in After receiving the voice data, use the voice output element to play the voice data. 2. According to the patent application A confirmation management system for the occurrence of a specific event in item 1, wherein the event detection device further comprises a voice input element, which can be configured to receive a voice confirmation data, and the event detection device utilizes the first network connection unit through the The network transmits the voice confirmation data to the specific electronic device. 3. A confirmation management system for the occurrence of a specific event according to item 2 of the scope of the patent application, wherein the controller of the event detection device further executes a timing operation before transmitting the first signal and transmits the voice through the voice before the timing operation ends When the input element receives a reference voice data, it cancels the transmission of the first signal. 4. The confirmation management system for the occurrence of a specific event according to item 2 of the scope of the application, wherein the controller of the event detection device performs a timing operation when playing the voice data by using the voice output element, and when the timing operation After the completion of any reply voice data received by the voice input element, send a message through the network or a telecommunication network to a specific trusted terminal for emergency notification or notify the specific electronic device through the network for emergency notification . 5. A confirmation management system for the occurrence of a specific event according to item 2 of the scope of the application, wherein when the controller of the event detection device receives a voice command through the voice input element, it is compared whether the voice command conforms to a predetermined voice command , and when the voice command matches the predetermined voice command, the first network connection unit is used to transmit the first signal through the network. 6. A confirmation management system for the occurrence of a specific event according to item 1 of the scope of the application, wherein the processor of the specific electronic device is further corresponding to the first signal, and uses a display unit to display the description information of the specific event through a user interface , wherein the description information of the specific event describes the position of an object in a specific space when the specific event occurs. 7. A confirmation management system for the occurrence of a specific event according to claim 1, wherein the detection unit is a light wave sensor or a radar and the specific event includes a fall event corresponding to an object. 8. A confirmation management system for the occurrence of a specific event according to item 7 of the scope of the patent application, wherein the object further includes a repeating number corresponding to a specific receiver, and the first signal is sequentially transmitted to each of the corresponding specific receivers through the network. Trusted end. 9According to the fact that the specific event specified in Item 1 of the scope of application an authentication management system, wherein the first signal is transmitted through the network to a web server and from the web server to the specific electronic device, and the voice data is routed through the network to the web server Receive and transmit to the event detection device. 10. An event confirmation method using a detection device, applicable to an event detection device, comprising the steps of: detecting an object through a detection unit of the event detection device; according to data detected by the detection unit Determine whether a specific event occurs correctly; when it is determined that the specific event occurs, use a network connection unit of the event detection device to transmit a first signal to a specific electronic device through a network; receive data from the specific electronic device through the network A voice data corresponding to the first signal of the electronic device; and after receiving the voice data, use a voice output element of the event detection device to play the voice data. 11. A computer program product that can be loaded by a machine and execute an event confirmation method using a detection device, the computer program product comprising: a first program code capable of detecting an object using at least one detection unit; a The second code is used to determine whether a specific event occurs according to the data detected by the detection unit; a third code is used to transmit a network connection unit through a network when it is determined that the specific event occurs a first signal to a specific electronic device; a fourth code for receiving a voice data corresponding to the first signal from the specific electronic device through the network; and a fifth code for receiving After the voice data, a voice output element is used to play the voice data. ”, the previous case 4 discloses a confirmation management system for the occurrence of a specific event as an event detection device: a network connection unit, a detection unit, a voice output element and a controller, which are mainly used to detect the occurrence of danger but do not disclose It does not disclose the action detection of the danger prediction and prevention system; the action trend prediction event; the recognition model training; the prevention mechanism; the large area detection;

例如習用(五)中華民國及國外專利公開號:TW202042184A/US20200329358A1/WO2020210773A1「緊急事件檢測及回應 系統」專利,依其申請專利範圍得知係為「1.一種計算機實現的緊急事件檢測和響應方法,方法包括:在緊急響應系統處接收與緊急響應系統的第一用戶相關聯並由一個或多個無線設備收集的第一音頻數據;部分地基於第一音頻數據確定緊急事件的可能發生;和指示一個或多個無線設備輸出語音提示請求確認已發生緊急事件。2.根據權利要求1所述的計算機實現的方法,其中,確定可能的緊急事件的發生包括:將接收到的第一音頻數據與緊急事件;和響應於所接收的第一音頻數據具有至少與噪聲分佈圖相似的閾值水平,確定緊急事件的可能發生。3.如權利要求1所述的計算機實現的方法,其特徵在於,確定可能的方法。緊急事件的發生包括:對接收到的第一音頻數據進行語音識別;將識別出的第一音頻數據與緊急事件語言模型進行比較;基於該比較確定緊急事件的可能發生。4.如權利要求1所述的計算機實現的方法,其特徵在於,確定可能的緊急事件的發生包括:對接收到的第一音頻數據進行語音識別;將識別出的第一音頻數據與關鍵字列表進行比較;和響應於所識別的第一音頻數據匹配關鍵詞列表上的至少一個關鍵詞,確定緊急事件的可能發生。5.根據權利要求1所述的計算機實現的方法,還包括:在緊急響應系統處,接收由一個或多個無線設備收集的第二音頻數據;基於接收到的第二音頻數據,確定緊急事件具有發生;和響應確定緊急事件已發生,觸發緊急響應流程。6.根據權利要求5所述的計算機實現的方法,其中,所述緊急響應流包括:通過提供商客戶端設備將緊急事件的發生通知提供商;通過一個或多個看護者客戶端設備將緊急事件的發生通知一個或多個看護者;和在一個或多個無線設備(提供商客戶端)之間啟動會議橋設備,以及一個或多個照顧者客戶端設備。7.根據權利要求1所述的計算機實現的方法,還包括:緊急響應系統確定未收到對語音提示的響應;並指示所述 一個或多個無線設備輸出第二語音提示,以請求確認發生了緊急事件。8.根據權利要求1所述的計算機實現的方法,還包括:緊急響應系統確定未收到對語音提示的響應;和觸發緊急響應流程,其中,所述緊急響應流程包括:通過提供商客戶端設備將所述緊急事件的發生通知給提供商;通過以下方式通知一位或多位看護人緊急事件的發生一台或多台看護者客戶端設備;和在一個或多個無線設備之間發起會議橋,提供商客戶端設備,以及一個或多個照顧者客戶端設備。9.根據權利要求1所述的計算機實現的方法,還包括:在緊急響應系統處,接收由一個或多個無線設備收集的第二音頻數據;根據接收到的第二音頻數據確定緊急事件尚未發生;和通過一個或多個看護者客戶端設備通知一個或多個看護者發生了虛假警報。10.一種用於緊急事件檢測和響應的計算機程序產品,該計算機程序產品存儲在非暫時性計算機可讀介質上,並且包括用於使處理器執行步驟的可執行指令,包括:在緊急響應系統處接收與緊急響應系統的第一用戶相關聯並由一個或多個無線設備收集的第一音頻數據;部分地基於第一音頻數據確定緊急事件的可能發生;和指示一個或多個無線設備輸出語音提示請求確認已發生緊急事件。」,是前案五為一種緊急事件檢測方法,揭露使用音頻辨識是否有緊急事件發生,確認發生時通知看護者;其未揭露多種偵測裝置用以偵測或預防危險;其並未揭露危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測。 For example, conventional (5) Republic of China and foreign patent publication numbers: TW202042184A/US20200329358A1/WO2020210773A1 "Emergency Event Detection and Response System" patent, according to the scope of its patent application, it is known as "1. A computer-implemented emergency detection and response method, the method comprising: receiving at the emergency response system associated with the first user of the emergency response system and sent by one or determining a possible occurrence of an emergency based in part on the first audio data; and instructing the one or more wireless devices to output a voice prompt requesting confirmation that an emergency has occurred. 2. according to claim 1. The described computer-implemented method, wherein determining the occurrence of a possible emergency event comprises: correlating the received first audio data with the emergency event; and having a threshold level at least similar to a noise profile in response to the received first audio data , determine the possible occurrence of emergency.3. the computer-implemented method as claimed in claim 1, is characterized in that, determine possible method.The occurrence of emergency comprises: carry out speech recognition to the first audio data received; The identified first audio data is compared with the emergency language model; the possible occurrence of an emergency is determined based on the comparison. 4. The computer-implemented method of claim 1, wherein the possible occurrence of an emergency is determined comprising: performing speech recognition on the received first audio data; comparing the recognized first audio data with a keyword list; and matching at least one keyword on the keyword list in response to the recognized first audio data, Determining the likelihood of an emergency. 5. The computer-implemented method of claim 1, further comprising: at an emergency response system, receiving second audio data collected by one or more wireless devices; Two audio data, determining that the emergency event has occurred; and in response to determining that the emergency event has occurred, triggering an emergency response flow. 6. The computer-implemented method of claim 5, wherein the emergency response flow comprises: through a provider customer The terminal device notifies the provider of the occurrence of the emergency; notifies one or more caregivers of the occurrence of the emergency through one or more caregiver client devices; and between one or more wireless devices (provider clients) Activating a conference bridge device, and one or more caregiver client devices. 7. The computer-implemented method of claim 1, further comprising: an emergency response system determining that a response to a voice prompt has not been received; and instructing the The one or more wireless devices output a second voice prompt requesting confirmation that an emergency has occurred. 8. The computer-implemented method of claim 1, further comprising: the emergency response system determining that a response to the voice prompt was not received; and triggering an emergency response procedure, wherein the emergency response procedure comprises: via a provider client the device notifies the provider of the occurrence of the emergency; notifies one or more caregivers of the occurrence of the emergency by one or more caregiver client devices; and initiates between the one or more wireless devices Conference bridge, provider client device, and one or more caregiver client devices. 9. The computer-implemented method of claim 1, further comprising: at an emergency response system, receiving second audio data collected by one or more wireless devices; determining from the received second audio data that the emergency has not been occurs; and one or more caregivers are notified via one or more caregiver client devices that a false alarm has occurred. 10. A computer program product for emergency detection and response, the computer program product being stored on a non-transitory computer readable medium and comprising executable instructions for causing a processor to perform steps, comprising: in an emergency response system receiving first audio data associated with a first user of the emergency response system and collected by the one or more wireless devices; determining a likely occurrence of an emergency based in part on the first audio data; and instructing the one or more wireless devices to output Voice prompts request confirmation that an emergency has occurred. ", the previous case 5 is an emergency detection method, which discloses the use of audio to identify whether there is an emergency, and notifies the caregiver when it is confirmed; it does not disclose a variety of detection devices to detect or prevent danger; it does not disclose the danger Prediction and prevention system action detection; action trend prediction events; identification model training; prevention mechanism; large area detection.

例如習用(六)美國專利公告號:US9672728B2/US9691266B2/US10121361B2「Smart hazard detector drills(智能危險探測器)」專利,該前案六揭露一種智能危害檢測器,當偵側到為害時立即通知保險公司,其中可以管理用戶使用家用器具時使用狀況進而了解潛在危險並作出警告;其並未揭露 危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測。 For example, the US Patent Publication No. (6) US9672728B2/US9691266B2/US10121361B2 "Smart hazard detector drills" patent, the previous case 6 discloses a smart hazard detector that immediately informs the insurance company when the damage is detected , which manages the user's use of household appliances to understand potential hazards and warn them; it does not disclose Hazard prediction and prevention system action detection; action trend prediction events; identification model training; prevention mechanism; large area detection.

例如習用(七)中國大陸及美國專利公開號:CN108510710A/WO2019192036A1/CN110021145A/US20200242908A1「室內護士求助方法和系統」專利,依其申請專利範利得知係為「1.一種室內看護求助方法,其特徵在於,包括步驟:獲取各一級高度區間內的人體呈現信息;根據所述各級別高度區間內的人體呈現信息,獲得呈現信息編碼;記錄所述呈現信息編碼與目標編碼處於匹配狀態的持續時間;若所述持續時間大於與所述目標編碼對應的時間閾值,則生成求助信息。2.根據權利要求1所述的室內看護求助方法,其特徵在於,所述根據所述各高度範圍內的人體呈現信息,獲得呈現信息編碼的過程,包括步驟:獲取地址信息;對所述地址信息與所述人體呈現信息進行組合,獲得所述呈現信息編碼。3.根據權利要求1所述的室內看護求助方法,其特徵在於,所述人體呈現信息包括人體紅外輻射信息。4.根據權利要求1所述的室內看護求助方法,其特徵在於,所述目標編碼包括第一編碼和第二編碼;所述記錄所述呈現信息編碼與目標編碼處於匹配狀態的持續時間的過程,包括步驟:若所述呈現信息編碼從與所述第一編碼相對匹配狀態改變為與所述第二編碼處於匹配狀態,則繼續記錄所述呈現信息編碼與所述第二編碼處於匹配狀態的持續時間;其中,所述第二編碼對應的時間閾值與所述第一編碼相對應。5.根據權利要求1至4任意一項所述的室內看護求助方法,其特徵在於,所述求助信息與所述目標編碼相對應。6.一種室內看護求助裝置,其特徵在於,包括:呈現信息獲取模塊,用於獲取各個尺度高度區間內的人體呈現信息;呈現信息編碼模塊,用於根據所述各個高度範圍內的人體呈現信息,獲得呈現信 息編碼;時間記錄模塊,用於記錄所述呈現信息編碼與目標編碼或匹配狀態的持續時間;求助信息發送模塊,用於在所述表示信息編碼與目標編碼指向匹配狀態的持續時間大於與所述目標編碼對應的時間閾值時,生成求助信息。7.一種計算機設備,包括存儲器,處理器和存儲在存儲器上並在處理器上運行在計算機上的處理器,處理器執行程序時實現如權利要求1至5任意所述的室內看護求助方法的步驟。8.一種計算機精確的存儲介質,其上存儲的計算機程序,計算機程序被處理器執行時實現如權利要求1至5任意所述的室內看護求助方法的步驟。9.一種探測樁,其特徵在於,包括探測樁支架以及設置在所述探測樁支架上的一個或多個探測單元;各個所述探測單元被配置為探測對應的預定高度範圍的人體呈現信息。」,是前案七揭露一種高度區間內的人體呈現信息,確認求助訊息後生成報警信號。其並未揭露危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測。 For example, the patent (7) Chinese mainland and US Patent Publication No.: CN108510710A/WO2019192036A1/CN110021145A/US20200242908A1 "Method and System for Helping Indoor Nurses", according to the patent application for it, is known as "1. A method for seeking help for indoor nursing, which features The method includes the steps of: acquiring human body presentation information in each level of height interval; obtaining presentation information encoding according to the human body presentation information in each level of height interval; recording the duration that the presentation information encoding and the target encoding are in a matching state; If the duration is greater than the time threshold corresponding to the target code, help information is generated. 2. The method for seeking help for indoor nursing according to claim 1, wherein the The process of presenting information and obtaining the presenting information code includes the steps of: obtaining address information; combining the address information and the human body presenting information to obtain the presenting information code. 3. The indoor nursing help according to claim 1 The method, characterized in that the human body presentation information includes human body infrared radiation information. 4. The indoor nursing help method according to claim 1, characterized in that the target code includes a first code and a second code; The process of recording the duration that the presence information code is in a matching state with a target code, comprising the steps of: if the presence information code changes from a relatively matching state with the first encoding to a matching state with the second encoding, then Continue to record the duration during which the presence information code and the second code are in a matching state; wherein, the time threshold corresponding to the second code corresponds to the first code. 5. According to any one of claims 1 to 4 The method for seeking help for indoor nursing as described in item 1, wherein the help information corresponds to the target code. 6. An indoor nursing help device, characterized in that it includes: a presentation information acquisition module for acquiring various scale heights The human body presentation information in the interval; the presentation information coding module is used to obtain the presentation information according to the human body presentation information in the various height ranges. The time recording module is used to record the duration of the presentation information code and the target code or the matching state; the help information sending module is used to indicate that the duration of the information code and the target code pointing to the matching state is greater than the duration of the matching state with the target code. When the time threshold corresponding to the target code is reached, help information is generated. 7. A computer equipment, comprising a memory, a processor and a processor stored on the memory and running on the computer on the processor, when the processor executes the program, the method for realizing the indoor nursing help method as described in any of claims 1 to 5 is realized. step. 8. A computer-accurate storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the steps of the method for seeking help for an indoor caregiver according to any one of claims 1 to 5. 9. A detection pile, comprising a detection pile support and one or more detection units arranged on the detection pile support; each of the detection units is configured to detect human body presentation information in a corresponding predetermined height range. ”, is the previous case 7 that revealed a kind of human body presentation information within the altitude range, and generated an alarm signal after confirming the help message. It does not disclose the risk prediction and prevention system motion detection; motion trend prediction events; recognition model training; prevention mechanisms; large-scale detection.

例如習用(八)中華民國、中國大陸專利公告號:TWI498846B/CN103519819B及美國公開號:US20140018705A1「步態分析方法及步態分析系統」專利,依其申請專利範圍1-11得知係為「1.一種步態分析方法,是通過一步分析系統實現的,該步態分析系統包括感測單元,處理單元和存儲單元,所述處理單元分別與所述感測單元和所述存儲單元電連接。存儲單元存儲複雜的操作程序。所述步態分析方法包括:所述感測單元感測單步狀態並輸出感測信號,所述單步週期包括站立週期,推動週期,擺動週期和触摸。所述處理單元獲取矢量振幅信號及根據該感測信號的振幅累加信號;並根據矢量幅度信號和幅度累加信號Period確定站立時間,推動時間,擺動時間和触地。j(k-1),則DTj(k)=DTj(k-1),當SVM(k)<DTj(k-1)時,DTj (k)=DTj(K-1)+(SVMj(k)-DTj(k-1))/S(j),其中SVM(k)是在第k個採樣時間點的矢量幅度信號的值DT(k)對於動態第k個採樣時間點的閾值S(j)為步態週期的矢量幅度信號之和。並根據站立時間,推桿時間,揮桿時間和著陸時間對該步態進行分類。2.根據權利要求1所述的步態分析方法,其特徵在於,在獲得所述矢量幅度信號和所述幅度累加信號的步驟中,所述處理單元通過矢量幅度計算程序獲得所述矢量幅度信號,並通過運算獲得所述幅度累加信號。振幅累加操作程序的說明。3.根據權利要求2所述的步態分析方法,其中,所述矢量幅度計算程序根據所述感測信號的第一方向分量,第二方向分量和第三方向分量之一進行操作,並且所述幅度被累積。該操作程序根據矢量幅度信號和第二方向分量進行操作。4.根據權利要求1所述的步態分析方法,其特徵在於,在確定站立期間,推入期間,擺動期間和著陸期間的步驟中,處理單元發送標準偏差計算程序。振幅包括偏差操作程序。在信號中計算標準偏差,並根據振幅累積信號,標準偏差和時間閾值在振幅累積信號中識別站立時間。5.根據權利要求4所述的步態分析方法,其中,所述站立時間之一的持續時間長於所述時間閾值。6.根據權利要求4所述的步態分析方法,其特徵在於,所述動態閾值的初始值是根據所述站立時間獲得的。7.根據權利要求6所述的步態分析方法,其特徵在於,所述處理單元通過動態閾值計算程序獲得所述動態閾值,並且所述動態閾值計算程序基於所述矢量幅度信號在不同時間點處。確定動態閾值。8.根據權利要求1所述的步態分析方法,其中,在對步態進行分類的步驟中,處理單元通過時間計算程序的計算來獲得觸地時間,站立時間和操作單元。搖擺期。9.根據權利要求8所述的步態分析方法,其特徵在於,當所述推壓週期加上所述擺動週期的時間和所述接地週期的時間小於或等於所 述著陸週期的時間時,所述步態在樓下,當所述推壓週期在汛期的時間較大時。比著陸時間要快,步態在樓上。10.根據權利要求1所述的步態分析方法,其特徵在於,所述步態分析方法還包括:所述處理單元根據所述站立時間,所述推動時間,所述揮桿時間和所述觸地時間計算所述步長之一步。11.一種步態分析系統,包括:感測單元,其感測單步狀態並輸出感測信號,其中,所述單步時段包括站立時段,推壓時段,揮桿時段和触摸時段;以及存儲單元,用於存儲多個計算程序。電連接於感測單元和存儲單元的處理單元,處理單元根據感測信號獲得矢量幅度信號和幅度累加信號,並根據矢量幅度信號,週期,推擠週期,擺動週期和著陸週期來對步態進行分類,其中推擠週期,擺動週期和著陸週期是基於動態閾值確定的,並且在相同的步態週期中,j(k-1),則DTj(k)=DTj(k-1)+(SVMj(k)-DTj(k-1))/S(j),其中SVM(k)是第k個採樣時間點的矢量幅度數字的值DT(k)是第k個採樣時間點的動態閾值,而S(j)是步態週期的矢量幅度信號的總和。」,前案八揭露一種步態分析的系統與其分析方法,根據站立時間,推桿時間,揮桿時間和著陸時間對該步態進行分類;其並未揭露危險預測預防系統動作偵測;辨識模型訓練;預防機制;大面積偵測;通報連線,與單位連線即刻救援。 For example, the Patent Bulletin No. of the Republic of China and the Mainland of China: TWI498846B/CN103519819B and the United States Publication No.: US20140018705A1 "Gait Analysis Method and Gait Analysis System" patent, according to the patent application scope 1-11, is known as "1" . A gait analysis method, implemented by a one-step analysis system, the gait analysis system comprising a sensing unit, a processing unit and a storage unit, the processing unit being electrically connected to the sensing unit and the storage unit respectively. The storage unit stores complex operation programs. The gait analysis method includes: the sensing unit senses a single-step state and outputs a sensing signal, and the single-step cycle includes a standing cycle, a push cycle, a swing cycle and a touch. The processing unit obtains the vector amplitude signal and the amplitude accumulation signal according to the sensing signal; and determines standing time, push time, swing time and touchdown according to the vector amplitude signal and the amplitude accumulation signal Period.j(k-1), then DTj (k)=DTj(k-1), when SVM(k)<DTj(k-1), DTj (k)=DTj(K-1)+(SVMj(k)-DTj(k-1))/S(j), where SVM(k) is the value DT of the vector magnitude signal at the k-th sampling time point (k) The threshold S(j) for the k-th sampling time point of the dynamic is the sum of the vector magnitude signals of the gait cycle. And classify this gait based on standing time, putting time, swing time, and landing time. 2 . The gait analysis method according to claim 1 , wherein in the step of obtaining the vector magnitude signal and the amplitude accumulation signal, the processing unit obtains the vector magnitude signal through a vector magnitude calculation program. 3 . , and obtain the amplitude accumulation signal through operation. A description of the amplitude accumulation procedure. 3. The gait analysis method according to claim 2, wherein the vector magnitude calculation program operates according to one of a first directional component, a second directional component and a third directional component of the sensed signal, and the The stated amplitudes are accumulated. The operating procedure operates on the vector magnitude signal and the second directional component. 4. The gait analysis method according to claim 1, wherein, in the step of determining the standing period, the pushing period, the swing period and the landing period, the processing unit sends a standard deviation calculation program. Amplitude includes deviation operating procedure. Calculate the standard deviation in the signal and identify the standing time in the amplitude cumulative signal based on the amplitude cumulative signal, the standard deviation and the time threshold. 5. The gait analysis method of claim 4, wherein the duration of one of the standing times is longer than the time threshold. 6 . The gait analysis method according to claim 4 , wherein the initial value of the dynamic threshold is obtained according to the standing time. 7 . 7. The gait analysis method according to claim 6, wherein the processing unit obtains the dynamic threshold through a dynamic threshold calculation program, and the dynamic threshold calculation program is based on the vector magnitude signal at different time points place. Determine dynamic thresholds. 8. The gait analysis method according to claim 1, wherein, in the step of classifying the gait, the processing unit obtains the touchdown time, the standing time and the operation unit through calculation by a time calculation program. swing period. 9 . The gait analysis method according to claim 8 , wherein, when the time of the pushing period plus the swing period and the time of the grounding period are less than or equal to the When the time of the landing period is set, the gait is downstairs, and when the time of the pushing period is longer in the flood season. Faster than landing time, gait upstairs. 10. The gait analysis method according to claim 1, wherein the gait analysis method further comprises: the processing unit according to the standing time, the pushing time, the swing time and the The touchdown time is calculated one step of the step size. 11. A gait analysis system, comprising: a sensing unit that senses a single-step state and outputs a sensing signal, wherein the single-step period includes a stance period, a push period, a swing period, and a touch period; and storage A unit for storing multiple computing programs. The processing unit is electrically connected to the sensing unit and the storage unit, and the processing unit obtains the vector magnitude signal and the magnitude accumulation signal according to the sensing signal, and performs gait according to the vector magnitude signal, the period, the pushing period, the swing period and the landing period. Classification, where the push cycle, swing cycle and landing cycle are determined based on dynamic thresholds, and in the same gait cycle, j(k-1), then DTj(k)=DTj(k-1)+(SVMj (k)-DTj(k-1))/S(j), where SVM(k) is the value of the vector magnitude digital at the kth sampling time point DT(k) is the dynamic threshold at the kth sampling time point, And S(j) is the sum of the vector magnitude signals of the gait cycles. ", the previous case eight discloses a gait analysis system and its analysis method, which classifies the gait according to standing time, putt time, swing time and landing time; it does not disclose the danger prediction and prevention system motion detection; identification Model training; preventive mechanism; large-scale detection; notification connection, immediate rescue when connected to the unit.

例如習用(九)中國大陸及國外專利件以上之公告號:WO2015054225A1/CN106030673B/CN105874520B/JP6507155B2/US9646480B2/EP3055851B1/CN109345799B...30件以上之「用於智能住家危險檢測器的視覺和聽覺用戶通知方法」專利,依其申請專利範圍12-20得知係為「12.一種用於提供預警通知的方法,所述方法包括:檢測第一危險水平,所述第一危險水平指示危險檢測器位置存在的煙霧和一氧化碳(CO)中的至少一個的量;將所述第 一危險水平與緊急閾值相比較;確定所述第一危險水平小於所述緊急閾值;將所述第一危險水平與預測閾值相比較,所述預測閾值小於所述緊急閾值;確定所述第一危險水平大於所述預測閾值;響應於確定所述第一危險水平大於所述預測閾值並小於所述緊急閾值,激活生成光的光源;響應於確定所述第一危險水平大於所述預測閾值並小於所述緊急閾值,從而使揚聲器輸出可聽的預測話音,所述可聽的預測話音包括提醒所檢測到的第一危險水平的內容;檢測第二危險水平;將所述第二危險水平與所述緊急閾值相比較;確定所述第二危險水平大於所述緊急閾值;響應於確定所述第二危險水平大於所述緊急閾值,激活生成可聽的警報的喇叭,其中所述可聽的警報比所述可聽的預測話音聲音振幅;穿過所述危險檢測器的用戶接口模塊接收用戶輸入;以及響應於接收到所述用戶輸入,停止生成所述可聽的預測話音。13.根據權利要求12所述的方法,進一步包括:響應於確定所述第二危險水平大於所述緊急閾值,激活生成光的所述光源,所述光的顏色與響應於確定所述第一危險水平大於所述預測閾值並且小於所述緊急閾值而生成的光不同。14.根據權利要求12所述的方法,其中,所述可聽的預測話音指示所述危險檢測器的位置和由所述危險傳感器檢測到所述第一危險水平的危險的類型。15.根據權利要求12所述的方法,進一步包括:如果檢測到危險物質的緊急或預測水平,則高功率無線通信模塊向計算機服務器系統傳送危險事件或其他形式的通知;以及當檢測到危險物質時,低功率無線通信模塊向一個或多個智能設備傳送信號。16.根據權利要求12所述的方法,其中:所述光源以至少第一顏色和第二顏色生成光;以及響應於確定所檢測到的第一危險水平大於所述預測閾值並且小於所述緊急閾值,以所述第二顏色激活所述光源。17.根據權利要求12所述的方法,其中,所述光源輸出光以 創造光環視覺效果。18.根據權利要求17所述的方法,其中,激活所述生成光的光源包括基於所檢測到的第一危險水平選擇光的顏色。19.根據權利要求18所述的方法,其中,激活所述生成光的光源包括基於所檢測到的第一危險水平選擇光的動畫。20.一種非暫時性計算機微觀介質,其中存儲指令,所述指令在執行時使用危險檢測器執行一個操作,包括:檢測第一危險水平,所述第一危險水平指示煙霧和一氧化碳(CO)中的至少一個的量;將所述第一危險水平與緊急閾值相比較;確定所述第一危險水平小於所述緊急閾值;將所述第一危險水平與預測閾值相比較,所述預測閾值小於所述緊急閾值;確定所述第一危險水平大於所述預測閾值;激活光源;響應於確定所述第一危險水平大於所述預測閾值並小於所述緊急閾值,從而揚聲器輸出可聽的預測話音;檢測第二危險水平;將所述第二危險水平與緊急閾值相比較;確定所述第二危險水平大於所述緊急閾值;響應於確定所述第二危險水平大於所述緊急閾值,激活生成可聽的警報的喇叭,其中所述可聽的警報比所述可聽的預測話音聲音振幅;穿過所述危險檢測器的用戶接口模塊接收用戶輸入;以及響應於接收到所述用戶輸入停止生成所述可聽的預測話音。」,是前案九揭露一種遇險通知的方法,遇險分級並依分級顯示聲光達到警報通知;其並未揭露危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;大面積偵測;通報連線,與單位連線即刻救援。 For example, the announcement No. of (9) Chinese mainland and foreign patents above: WO2015054225A1/CN106030673B/CN105874520B/JP6507155B2/US9646480B2/EP3055851B1/CN109345799B... 30 or more "Visual and auditory users for smart home hazard detectors" Notification Method" patent, according to its patent application scope 12-20 is known as "12. A method for providing early warning notification, the method comprises: detecting a first hazard level, the first hazard level indicating a hazard detector The amount of at least one of smoke and carbon monoxide (CO) present at the location; a hazard level is compared to an emergency threshold; determining that the first hazard level is less than the emergency threshold; comparing the first hazard level to a predicted threshold, the predicted threshold being less than the emergency threshold; determining the first a hazard level is greater than the predicted threshold; in response to determining that the first hazard level is greater than the predicted threshold and less than the emergency threshold, activating a light source that generates light; in response to determining that the first hazard level is greater than the predicted threshold and is less than the emergency threshold, so that the speaker outputs an audible predictive voice, the audible predictive voice including content reminding the detected first hazard level; detecting a second hazard level; placing the second hazard comparing the level with the emergency threshold; determining that the second hazard level is greater than the emergency threshold; in response to determining that the second hazard level is greater than the emergency threshold, activating a horn that generates an audible alarm, wherein the an audible alarm is greater in sound amplitude than the audible predicted speech; receiving user input through a user interface module of the hazard detector; and in response to receiving the user input, ceasing generating the audible predicted speech . 13. The method of claim 12, further comprising: in response to determining that the second hazard level is greater than the emergency threshold, activating the light source that generates light having a color that is the same as the color responsive to determining the first hazard The light generated is different for a hazard level greater than the predicted threshold and less than the emergency threshold. 14. The method of claim 12, wherein the audible predictive speech indicates the location of the hazard detector and the type of hazard at which the first hazard level is detected by the hazard sensor. 15. The method of claim 12, further comprising: if an emergency or predicted level of a hazardous substance is detected, the high power wireless communication module transmits a hazardous event or other form of notification to the computer server system; and when a hazardous substance is detected , the low-power wireless communication module transmits a signal to one or more smart devices. 16. The method of claim 12, wherein: the light source generates light in at least a first color and a second color; and in response to determining that the detected first hazard level is greater than the predicted threshold and less than the emergency threshold to activate the light source in the second color. 17. The method of claim 12, wherein the light source outputs light at Create a halo visual effect. 18. The method of claim 17, wherein activating the light generating light source comprises selecting a color of light based on the detected first hazard level. 19. The method of claim 18, wherein activating the light generating light source comprises selecting an animation of the light based on the detected first hazard level. 20. A non-transitory computer microscopic medium in which instructions are stored that, when executed, use a hazard detector to perform an operation comprising: detecting a first hazard level, the first hazard level indicating smoke and carbon monoxide (CO) in comparing the first hazard level with an emergency threshold; determining that the first hazard level is less than the urgency threshold; comparing the first hazard level with a predicted threshold, the predicted threshold being less than the emergency threshold; determining that the first hazard level is greater than the predicted threshold; activating a light source; in response to determining that the first hazard level is greater than the predicted threshold and less than the emergency threshold, a speaker outputs an audible predicted speech detecting a second hazard level; comparing the second hazard level to an emergency threshold; determining that the second hazard level is greater than the emergency threshold; activating in response to determining that the second hazard level is greater than the emergency threshold generating an audible alarm horn, wherein the audible alarm is greater in amplitude than the audible predicted speech sound; receiving user input through a user interface module of the hazard detector; and in response to receiving the user The input stops generating the audible predicted speech. ”, which is a method of distress notification disclosed in the previous case 9. The distress level is classified and the sound and light reaching the alarm notification is displayed according to the level; it does not disclose the action detection of the danger prediction and prevention system; the action trend prediction event; identification model training; large area detection ; Report the connection, and connect with the unit for immediate rescue.

是前揭諸習用品仍有改善之處,此乃為業者及消費者極欲突破之處。 It is the point of improvement that the former revealed that there is still room for improvement, and this is where the industry and consumers are eager to make a breakthrough.

為解決上述之現有技術不足之處,本創作主要目的,在於提供一種危險預測預防系統,利用處理器之事件辨識系統連接設有動作偵測資料收集傳輸器及反應裝置,事件辨識系統連接設有資料庫服務,該處理器連接設有該更新服務,以期克服現有技術中之難處。 In order to solve the above-mentioned deficiencies of the prior art, the main purpose of this creation is to provide a risk prediction and prevention system. The event identification system using a processor is connected with a motion detection data collection transmitter and a response device, and the event identification system is connected with a Database service, the processor connection is provided with the update service, in order to overcome the difficulties in the prior art.

本創作次要目的,在於提供一種危險預測預防系統,系統透過動作偵測資料收集傳輸器,系統持續偵測每曰24小時室內人員動入狀態,透過事件辨識系統對偵測範圍內之人員做動作判斷,而在對對象進入危險情形或動作時,由反應裝置針對目標對象做出反應。 The secondary purpose of this creation is to provide a risk prediction and prevention system. The system collects and transmits motion detection data. The system continuously detects the movement of indoor personnel 24 hours a day. Action judgment, and when the object enters a dangerous situation or action, the reaction device responds to the target object.

本創作又一目的,在於提供一種危險預測預防系統,有效提升保護場域內所有人員之安全,解決危險情形所造成之防線死角,全自動化可預測危險監測共通報。 Another purpose of this creation is to provide a risk prediction and prevention system, which can effectively improve the safety of all personnel in the protection field, solve the dead ends of the defense line caused by dangerous situations, and fully automatic and predictable risk monitoring and reporting.

本創作所欲解決之問題,例如美國、大陸、中華民國等(公開號:US9891313B2/TWI585430B/TWI625536B/TWI621869B/CN106125072B)「雷達裝置與安全監控系統」專利,揭露一種雷達裝置監控系統、方法、裝置,利用都卜勒雷達與90度相位差方式偵測,其系統仍需要一控制器控制信號操作反應元件;其僅限於雷達,但並無法透過紅外線、光達、攝像等獲取相關資訊,並進行動做辨識與預測;例如中華民國專利公告號:TWI588785B「非接觸式監測系統及其方法」專利,其僅揭露一種結合紅外線的雷達檢測系統,有線及無線監控生命,如:心跳、熱輻射。用於監控跌倒緊急事故,與醫院、照護中心連線;例如中華民國專利公開號:TWI653610B「利用雷達之跌倒偵測系統及方法,及相關電腦程式產品」專利,其所揭露之雷達跌倒偵測方式與系統,僅藉由測量裝置與個體距離、面積、時間判定是否 跌倒並進行通報;例如中華民國專利公告號:TWI683278B「特定事件發生之確認管理系統以及利用偵測裝置之事件確認方法,以及相關電腦程式產品」專利,其主要為偵測危險發生但未揭露有做到預防警示作用;例如中華民國及國外專利公開號:TW202042184A/US20200329358A1/WO2020210773A1「緊急事件檢測及回應系統」專利,其僅限於單一偵測;例如美國專利公告號:US9672728B2/US9691266B2/US10121361B2「Smart hazard detector drills(智能危險探測器)」專利,其所揭露只限於當偵側到為害時立即通知保險公司,其中可以管理用戶使用家用器具時使用狀況進而了解潛在危險並作出警告;例如中國大陸及美國專利公開號:CN108510710A/WO2019192036A1/CN110021145A/US20200242908A1「室內護士求助方法和系統」專利,是僅限於高度區間內的人體呈現信息,確認求助訊息後生成報警信號;例如中華民國、中國大陸專利公告號:TWI498846B/CN103519819B及美國公開號:US20140018705A1「步態分析方法及步態分析系統」專利,其揭露一種步態分析的系統與其分析方法,根據站立時間,推桿時間,揮桿時間和著陸時間對該步態進行分類而之領域;例如中國大陸及國外專利件以上之公告號:WO2015054225A1/CN106030673B/CN105874520B/JP6507155B2/US9646480B2/EP3055851B1/CN109345799B...30件以上之「用於智能住家危險檢測器的視覺和聽覺用戶通知方法」專利,其僅限於一種遇險通知的方法,遇險分級並依分級顯示聲光達到警報通知;是習用品其使用範圍狹小,且無法達成危險預測預防系統動作偵測;動作趨勢預測事件;辨識模型訓練;預防機制;大面積偵測;通報連線,與單位連線即刻救援。 The problems to be solved by this creation, such as the United States, the mainland, the Republic of China, etc. (publication number: US9891313B2/TWI585430B/TWI625536B/TWI621869B/CN106125072B) "Radar Device and Security Monitoring System" patent, discloses a radar device monitoring system, method and device , using Doppler radar and 90-degree phase difference detection, the system still needs a controller to control the signal to operate the response element; it is limited to radar, but cannot obtain relevant information through infrared, lidar, camera, etc., and carry out actions Do identification and prediction; for example, the Patent Publication No. of the Republic of China: TWI588785B "Non-contact monitoring system and method thereof", which only discloses a radar detection system combined with infrared, wired and wireless monitoring of life, such as: heartbeat, thermal radiation. It is used to monitor fall emergencies and connect with hospitals and nursing centers; for example, the patent publication number of the Republic of China: TWI653610B "Fall Detection System and Method Using Radar, and Related Computer Program Products" patent, which discloses the radar fall detection method and system, only by measuring the distance, area and time between the measuring device and the individual to determine whether Falls and reporting; for example, the Republic of China Patent Bulletin No.: TWI683278B "The Confirmation Management System for the Occurrence of Specific Events and the Event Confirmation Method Using the Detection Device, and Related Computer Program Products" patent, which mainly detects the occurrence of danger but does not disclose any To achieve the role of prevention and warning; for example, the Republic of China and foreign patent publication numbers: TW202042184A/US20200329358A1/WO2020210773A1 "emergency detection and response system" patent, which is limited to a single detection; "Smart hazard detector drills (smart hazard detector drills)" patent, its disclosure is limited to notify the insurance company immediately when the detection side is harmful, which can manage the user's use of household appliances to understand potential hazards and give warnings; such as mainland China And U.S. Patent Publication No.: CN108510710A/WO2019192036A1/CN110021145A/US20200242908A1 "Indoor nurse help-seeking method and system" patent, which is limited to the human body presenting information within the altitude range, and generates an alarm signal after confirming the help-seeking information; for example, the Republic of China, Mainland China Patent Announcements No.: TWI498846B/CN103519819B and US Publication No.: US20140018705A1 "Gait analysis method and gait analysis system" patent, which discloses a gait analysis system and analysis method, according to standing time, putt time, swing time and landing time The field in which the gait is classified; for example, the publication number of the Chinese mainland and foreign patents above: WO2015054225A1/CN106030673B/CN105874520B/JP6507155B2/US9646480B2/EP3055851B1/CN109345799B... 30 or more "for intelligent home hazard detection" "Visual and auditory user notification method of the device" patent, which is limited to a method of distress notification, the distress level and the sound and light are displayed according to the level to reach the alarm notification; it is a habit, its scope of use is narrow, and it cannot achieve the action detection of the danger prediction and prevention system ; Action trend prediction events; recognition model training; prevention mechanism; large-area detection;

解決問題之技術手段,為達上述之目的,本創作係提供一種危險預測預防系統,其特徵是,該系統包括:一處理器,為實體構件係包含相互連接之一事件辨識系統及一資料庫服務;一動作偵測資料收集傳輸器,為實體構件係連接該處理器之該事件辨識系統;一反應裝置,為實體構件係連接該處理器之該事件辨識系統;利用該系統透過該動作偵測資料收集傳輸器,該系統持續偵測每曰24小時室內人員動入狀態,透過該事件辨識系統對偵測範圍內之人員做動作判斷,而在對對象進入危險情形或動作時,由該反應裝置針對目標對象做出反應。 The technical means for solving the problem, in order to achieve the above-mentioned purpose, the present creation system provides a risk prediction and prevention system, which is characterized in that the system includes: a processor, which is a physical component including an event identification system and a database that are connected to each other. service; a motion detection data collection and transmission transmitter, which is the event recognition system whose physical component is connected to the processor; a response device, which is the event recognition system whose physical component is connected to the processor; using the system through the motion detection system The detection data collection transmitter, the system continuously detects the movement of indoor personnel 24 hours a day, through the event identification system to judge the movement of the personnel within the detection range, and when the object enters a dangerous situation or action, the The reaction device reacts to the target object.

其中,本創作該處理器連接設有一更新服務,該更新服務包含但不限於一更新中心、一模型訓練系統。 Wherein, in this creation, the processor is connected with an update service, and the update service includes but is not limited to an update center and a model training system.

其中,本創作該動作偵測資料收集傳輸器包含但不限於一感測形式模組、一感測終端模組、一資料集合模組。 Wherein, the motion detection data collection and transmitter in this creation includes but is not limited to a sensing form module, a sensing terminal module, and a data collection module.

其中,本創作該處理器之該事件辨識系統包含但不限於一動作判定系統、一趨勢預測系統。 Wherein, the event identification system of the processor of the present creation includes but is not limited to an action determination system and a trend prediction system.

其中,本創作該反應裝置包含但不限於一警示模組、一通報模組。 Wherein, the reaction device in this creation includes but is not limited to a warning module and a notification module.

其中,本創作該反應裝置之該警示模組包含一警示手段及一事件說明手段。 Wherein, the warning module of the reaction device of the present invention includes a warning means and an event description means.

其中,本創作該警示模組之該警示手段包含但不限於聲音、光線、影像;該警示模組之該事件說明手段包含但不限於文字、影像、語音。 Among them, the warning means of the warning module in this creation include but not limited to sound, light, and image; the event description means of the warning module include but not limited to text, image, and voice.

其中,本創作該反應裝置之該通報模組係包含一通報手段及一通報事件內容資訊。 Wherein, the notification module of the reaction device in the present invention includes a notification means and a notification event content information.

其中,本創作該通報模組之該通報手段可透過包含但不限於電話、廣播、訊息等方式,該通報事件內容資訊係提供對象之包含但不限於位置資訊、事件狀況、對象情況等資訊,並通報可處理及需被告知之人員,迅速前往事發地點。 Among them, the notification means for the creation of the notification module can include but not limited to telephone, broadcast, message, etc., the notification event content information is to provide information including but not limited to location information, event status, object status and other information, And notify the personnel who can be dealt with and who need to be informed, and quickly go to the scene of the incident.

其中,本創作該資料庫服務係包含但不限於一形體模型模組、一紀錄資料庫、一通報資料庫。 Among them, the database service of this creation includes but is not limited to a physical model module, a record database, and a notification database.

對照先前技術之功效,本創作利用該處理器之該事件辨識系統連接設有該動作偵測資料收集傳輸器及該反應裝置,該事件辨識系統連接設有該資料庫服務,該處理器連接設有該更新服務;進而達成,該系統透過該動作偵測資料收集傳輸器,該系統持續偵測每曰24小時室內人員動入狀態,透過該事件辨識系統,對偵測範圍內之人員做動作判斷,而在對對象進入危險情形或動作時,由該反應裝置針對目標對象做出反應;有効提升保護場域內所有人員之安全,解決危險情形所造成之防線死角,全自動化可預測危險監測共通報,符合進步、實用與使用者之所需,足見其增益之處。 In contrast to the effects of the prior art, the present invention utilizes the event recognition system of the processor to be connected with the motion detection data collection transmitter and the response device, the event recognition system to be connected to the database service, and the processor to be connected to the device. There is the update service; further, the system collects the transmitter through the motion detection data, the system continuously detects the movement status of indoor personnel 24 hours a day, and through the event identification system, acts on the personnel within the detection range Judgment, and when the object enters a dangerous situation or action, the reaction device will respond to the target object; effectively improve the safety of all personnel in the protection field, solve the dead end of the defense line caused by dangerous situations, and fully automatic and predictable danger monitoring A total of reports, in line with the needs of progress, practicality and users, shows its benefits.

100:系統 100: System

1:處理器 1: Processor

11:事件辨識系統 11: Event Identification System

111:動作判定系統 111: Action Judgment System

112:趨勢預測系統 112: Trend Forecasting Systems

12:資料庫服務 12: Database Services

121:形體模型模組 121: Body model module

122:紀錄資料庫 122: Record Database

123:通報資料庫 123: Notification Database

13:更新服務 13: Update service

131:更新中心 131: Update Center

132:模型訓練系統 132: Model Training System

2:動作偵測資料收集傳輸器 2: Motion detection data collection transmitter

21:感測形式模組 21: Sensing form module

22:感測終端模組 22: Sensing terminal module

23:資料集合模組 23: Data Collection Module

3:反應裝置 3: Reaction device

31:警示模組 31: Warning module

311:警示手段 311: Warning Means

312:事件說明手段 312: Event Description Means

32:通報模組 32: Notification Module

321:通報手段 321: Means of notification

322:通報事件內容資訊 322: Notification of event content information

第一圖:為本創作之架構圖。 The first picture: the structure diagram of this creation.

第二圖:為本創作動作偵測資料收集傳輸器之架構圖。 The second picture: The structure diagram of the motion detection data collection and transmission device of this creation.

第三圖:為本創作事件辨識系統之架構圖。 Figure 3: The architecture diagram of the event recognition system for this creation.

第四圖:為本創作反應裝置之架構圖。 Figure 4: The structure diagram of the reaction device for this creation.

茲將本創作配合附圖,並以實施例之表達形式詳細說明如下,而於文中所使用之圖式,其主旨僅為示意及輔助說明書之用,未必為本創作實施後之真實比例與精準配置,故不應就所附之圖式的比例與配置關係侷限本創作於實際實施上的專利範圍,合先敘明。 This creation is hereby combined with the accompanying drawings and described in detail as follows in the form of an embodiment. The drawings used in the text are only for the purpose of illustrating and assisting the description, and may not necessarily be the true scale and accuracy after the implementation of this creation. Therefore, the scope of the invention should not be limited to the actual implementation of the patent based on the proportion and configuration of the attached drawings.

請參閱第一圖及第二圖、第三圖、第四圖所示,係為本創作之架構圖及本創作動作偵測資料收集傳輸器之架構圖、本創作事件辨識系統之架構圖、本創作反應裝置之架構圖,本創作之危險預測預防系統於一較佳之實施例中,該系統100包括:一處理器1、一動作偵測資料收集傳輸器2、一反應裝置3。 Please refer to the first and second, third and fourth pictures, which are the architecture diagram of this creation, the architecture diagram of the motion detection data collection and transmitter of this creation, the architecture diagram of the event recognition system of this creation, The structure diagram of the response device of the present creation, the risk prediction and prevention system of the present creation is in a preferred embodiment, the system 100 includes: a processor 1 , a motion detection data collection and transmission device 2 , and a response device 3 .

前述之一處理器1,為實體構件係包含相互連接之一事件辨識系統11及一資料庫服務12;該事件辨識系統11包含但不限於一動作判定系統111、一趨勢預測系統112(如第一圖、第二圖所示);該事件辨識系統11係透過該動作偵測資料收集傳輸器2持續提供不間斷之動作與形體偵測,並透過該動作判定系統111,判斷現在形體對象為何及其之行為,並定義其代表之趨勢與改變走向之對應意圖;該動作判定系統111係指對後述之動作偵測資料收集傳輸器2所提供之資料集合,以系統流程做包含但不限於形體、動作辨識,以便定義此辨識之對象及其動作為何;於本實施例,該動作判定系統111係透過對象判定(如:成人男性、年邁女性),再透過事件內容判定(如:男性煮菜中、女性向前撲倒),再透過事件情況分級(如:煮菜不緊急;撲倒--緊急);該趨勢預測系統112係指由該動作判定系統111之對象,做此動作之後續預測行為,或其當下行為所代表之含義,並將得出之結果,交由後述為實體構 件之反應裝置3做出處理。於本實施例該於該趨勢預測系統112係透過事件當下現況之應對處理方式分析,再透過事件後續趨勢預測,最後在得出處理方式結論交由後述之反應裝置3;該資料庫服務12係包含但不限於一形體模型模組121、一紀錄資料庫122、一通報資料庫123;該形體模型模組121係指該事件辨識系統11之辨識來源模型,該模組包含但不限於人物形體與特徵、動物形體與特徵、動作含義與特徵等,針對所需辨識之形體與對應動作,提供模型依據;該紀錄資料庫122係指系統所有感測資料與辨識結果之資料儲存中心,並可以包含但不限於形體資訊、對像類別等標籤形式,分類並連結所有事件為一資料鏈;該通報資料庫123係指系統針對辨識對象之通報紀錄與其成果之資料庫,該(通報)紀錄包含但不限於通報對象、處理過程、事件結果能內容做紀錄。 One of the aforementioned processors 1 is an entity component including an event identification system 11 and a database service 12 connected to each other; the event identification system 11 includes but is not limited to an action determination system 111, a trend prediction system 112 (such as the The event recognition system 11 continuously provides uninterrupted motion and body detection through the motion detection data collection transmitter 2, and through the motion judgment system 111, determines what the current body object is and its behavior, and define the trend it represents and the corresponding intention to change the direction; the motion determination system 111 refers to the data set provided by the later-described motion detection data collection transmitter 2, including but not limited to the system process. Body and action recognition, in order to define the object of this recognition and its action; in this embodiment, the action determination system 111 determines the object (eg: adult male, elderly woman), and then determines the content of the event (eg: male cooking In the dish, the woman fell forward), and then classified according to the event situation (such as: cooking is not urgent; fell - urgent); the trend prediction system 112 refers to the object determined by the action system 111, and the action of the action is performed. Subsequent predicted behavior, or the meaning represented by its current behavior, and the resulting results will be handed over to the entity structure described later. The reaction device 3 of the piece performs processing. In this embodiment, the trend forecasting system 112 analyzes the response and processing method of the current situation of the event, and then predicts the subsequent trend of the event, and finally obtains the processing method conclusion and sends it to the reaction device 3 described later; the database service 12 is Including but not limited to a body model module 121, a record database 122, and a notification database 123; the body model module 121 refers to the identification source model of the event identification system 11, and the module includes but is not limited to human figures and features, animal shapes and features, action meanings and features, etc., provide model basis for the shapes and corresponding actions to be identified; the record database 122 refers to the data storage center of all sensing data and identification results of the system, and can Including but not limited to physical information, object type and other label forms, classifying and linking all events into a data chain; the notification database 123 refers to the database of the system's notification records for the identified objects and their results. The (notification) records include However, it is not limited to the notification object, the processing process, and the content of the event result can be recorded.

更一進一步,本創作該處理器1連接設有一更新服務13(如第一圖所示),該處理器1連接設有一更新服務13,該更新服務13包含但不限於一更新中心131、一模型訓練系統132;該更新中心131係指針對該系統100之包含但不限於安全性、效能、精準度、除錯等部分,做軟體更新與硬體健康狀況與配置建議之服務中心;系統管理人員透過自定義之時程,並在聯網下、不聯網下(預先下載軟體更新包)皆能完成系統軟體更新;該模型訓練系統132係指對該事件辨識系統11之辨識來源模型做訓練,提升精準度與辨識能力,並提供該更新中心131對系統發布演算法更新的封包。訓練方式包含但不限於AI、機器學習、類神經網路等方式做複合訓練進行。 Further, in the present creation, the processor 1 is connected with an update service 13 (as shown in the first figure), and the processor 1 is connected with an update service 13. The update service 13 includes but is not limited to an update center 131, a Model training system 132; the update center 131 refers to the service center for software update and hardware health status and configuration suggestions, including but not limited to security, performance, accuracy, debugging and other parts of the system 100; system management The personnel can complete the system software update through the self-defined schedule, and can complete the system software update under the network or offline (pre-download the software update package); the model training system 132 refers to the training of the identification source model of the event identification system 11, Improve the accuracy and identification ability, and provide the update center 131 to release the algorithm update package to the system. The training methods include but are not limited to AI, machine learning, neural network-like and other methods for compound training.

前述之一動作偵測資料收集傳輸器2,為實體構件係連接該處理器1之該事件辨識系統11(如第一圖所示);該動作偵測資料收集傳輸器2包含但不限於一感測形式模組21、一感測終端模組22、一資料集合模組23(如第三 圖所示);該動作偵測資料收集傳輸器2係針對該感測終端模組22中所有感測器所能涵蓋範圍內所有(對象)或(特定對象),對應感測形式並透過該資料集合模組23,進行持續性之數據收集;該感測形式模組21係指該系統100可支援之所有感測形式集合,可針對不同需求,對該感測終端模組22發出指令,決定個別終端的感測形式;該感測形式模組21係包含但不限於熱成像、動作感測;該感測終端模組22係指所有系統執行感測數據收集之終端,該感測終端模組22係包含但不限於紅外線、雷達、光學雷達、攝像模組提供做持續性之資料收集;該資料集合模組23係指從該感測終端模組22,可獲得之所有資料種類與集合,該資料集合模組23係包含但不限於形體、動作、面部表情、移動速度、對象位置(如:經緯度)、環境因數(如:溫度、濕度)等特徵數據。 One of the aforementioned motion detection data collection and transmitter 2 is the event recognition system 11 whose physical component is connected to the processor 1 (as shown in the first figure); the motion detection data collection and transmitter 2 includes but is not limited to a The sensing form module 21, a sensing terminal module 22, and a data collection module 23 (such as the third As shown in the figure); the motion detection data collection transmitter 2 is for all (objects) or (specific objects) within the range that all sensors in the sensing terminal module 22 can cover, corresponding to the sensing form and through the The data collection module 23 performs continuous data collection; the sensing form module 21 refers to the set of all sensing forms that the system 100 can support, and can issue commands to the sensing terminal module 22 according to different needs, Determines the sensing form of individual terminals; the sensing form module 21 includes but is not limited to thermal imaging and motion sensing; the sensing terminal module 22 refers to the terminal that all systems perform sensing data collection, and the sensing terminal The module 22 includes, but is not limited to, infrared, radar, optical radar, and camera modules for continuous data collection; the data collection module 23 refers to all the data types and types that can be obtained from the sensing terminal module 22 . Collection, the data collection module 23 includes but is not limited to feature data such as body, action, facial expression, moving speed, object position (eg, latitude and longitude), environmental factors (eg, temperature, humidity).

前述之一反應裝置3,為實體構件係連接該處理器1之該事件辨識系統11(如第一圖所示),利用該系統100透過該動作偵測資料收集傳輸器2,該系統100持續偵測每曰24小時室內人員動入狀態,透過該事件辨識系統11,對偵測範圍內之人員做動作判斷,而在對對象進入危險情形或動作時,由該反應裝置3針對目標對象做出反應;該反應裝置3,包含但不限於一警示模組31、一通報模組32(如第四圖所示);該反應裝置3係針對該事件辨識系統11提出之趨勢預測與現況分析,做出相對應之行為;該警示模組31包含一警示手段311及一事件說明手段312;該警示模組31係指針對對象或對象群,做出包含但不限於聲音、光線、影像等方式之該警示手段311,該警示手段311包含但不限於聲音、光線、影像,並提供警示範圍內之對象及對象群以包含但不限於文字、影像、語音等方式做該事件說明手段312,並提出建議處理方式及其操作步驟;該事件說明手段312包含但不限於文字、影像、語音;該通報模組32係 包含一通報手段321及一通報事件內容資訊322;該通報模組32係指針對對象進入警急狀態並無法處理當前情況時(例如:失能、受傷、倒地不起、受困、遭受脅迫);該通報手段321可透過包含但不限於電話、廣播、訊息等方式,該通報事件內容資訊322係提供對象之包含但不限於位置資訊(包含:建物、樓層、房間)、事件狀況、對象情況等資訊,並通報可處理及需被告知之人員,迅速前往事發地點。 One of the aforementioned response devices 3 is the event recognition system 11 (as shown in the first figure) whose physical component is connected to the processor 1 , and the system 100 is used to collect the transmitter 2 through the motion detection data, and the system 100 continues Detecting the movement state of indoor personnel 24 hours a day, through the event identification system 11, the movement judgment of the personnel within the detection range is made, and when the object enters a dangerous situation or action, the reaction device 3 is used for the target object. The reaction device 3 includes but is not limited to a warning module 31 and a notification module 32 (as shown in the fourth figure); the reaction device 3 is based on the trend prediction and current situation analysis proposed by the event identification system 11 , and perform corresponding actions; the warning module 31 includes a warning means 311 and an event description means 312 ; the warning module 31 refers to an object or a group of objects, including but not limited to sound, light, image, etc. The warning means 311 of the method, the warning means 311 includes but is not limited to sound, light, and video, and provides objects and object groups within the warning range as the event description means 312, including but not limited to text, video, voice, etc., and put forward suggested handling methods and operation steps; the event description means 312 include but are not limited to text, video, and voice; the notification module 32 is It includes a notification means 321 and a notification event content information 322; the notification module 32 refers to when the target object enters an emergency state and cannot deal with the current situation (for example, disabled, injured, down to the ground, trapped, coerced) ); the notification means 321 may include but not limited to telephone, broadcast, message, etc., the notification event content information 322 is to provide objects including but not limited to location information (including: buildings, floors, rooms), event status, objects Information such as the situation and other information, and notify the personnel who can be dealt with and who need to be informed, and quickly go to the location of the incident.

本創作之延伸應用: The extended application of this creation:

一、提前預防機制,本創作該系統100透過之該事件辨識系統11之該趨勢預測系統112,可辨識出對象當下動作之代表含義,並推算後續可能發生之行為或遭遇之事件,如趨勢預測有需提醒用戶之必要性或急迫性,該系統100透過該反應裝置3提醒此對象須注意之情況及建議處理方式,完成預防機制的處理。 1. Advance prevention mechanism, the trend prediction system 112 of the event identification system 11 through the system 100 of the present creation can identify the representative meaning of the current action of the object, and estimate the possible subsequent behavior or encounter events, such as trend prediction When it is necessary to remind the user of the necessity or urgency, the system 100 reminds the object to pay attention to the situation and the suggested treatment method through the reaction device 3, so as to complete the treatment of the prevention mechanism.

二、特徵動作模型資料庫,本創作該系統100透過該資料庫服務12及該更新服務13連結提供最新之特徵模型資料庫,提升系統精準度與辨識速度;同該事件辨識系統11也會將辨識成果資料共享至該更新服務13,做模型訓練之資料源與趨勢預測修正。 2. Feature action model database. In this creation, the system 100 provides the latest feature model database through the link of the database service 12 and the update service 13 to improve the system accuracy and recognition speed; the event recognition system 11 will also The identification result data is shared to the update service 13 for model training data source and trend prediction correction.

三、多偵測大面積範圍,預測之中控系統介面,本創作該系統100透過該動作偵測資料收集傳輸器2,可在感測終端之範圍內進行多對象追蹤;該系統100可串連由整個場域,至單一場館到樓層之即時監控系統及系統介面,介面將標示目前所有感測場域之現況,同時在情況發生時,標示位置資訊及鄰近人員的遠端語音、視訊或其他聯繫手段。 3. Multi-detection of a large area, predicting the interface of the central control system. In this creation, the system 100 collects and transmits the motion detection data and can track multiple objects within the range of the sensing terminal; the system 100 can be connected in series From the entire field, to the real-time monitoring system and system interface of a single venue to the floor, the interface will indicate the current status of all the sensing fields, and at the same time, when the situation occurs, it will indicate the location information and the remote voice, video or video of nearby personnel. other means of contact.

四、鄰近範圍通報警示,本創作該系統100之該反應裝置3,可對應大型公共空間或展廳,在感測範圍中有對象進入緊急狀態時(如:突然倒地不起),可在此對象之預設警示範圍內(如:對象所在之房間、鄰近房間、外連走道發出警示,並對對象所在之樓層或負責人員,做通報通知及對象地點資訊標示),做其餘人員警示與可處理人員之通報,同時在有裝設攝像鏡頭之情況下,做同步影像證據紀錄。 4. Notification and warning in the vicinity, the response device 3 of the system 100 in this creation can correspond to large public spaces or exhibition halls. Within the preset warning range of the object (such as: the room where the object is located, the adjacent room, and the external corridor, a warning is issued to the floor or the person in charge of the object, and the notification and the information of the object's location are marked). Handle the notification of the personnel, and at the same time, record the synchronous video evidence when there is a camera lens installed.

本創作之其他功能: Other features of this creation:

一、類神經網路模型訓練,本創作該系統100之該更新服務13之該模型訓練系統132,透過類神經網路,針對所有樣本之包含但不限於關聯性、相似性等做疊加,並調整模型之辨識與判斷依據;同時本創作該系統類神經網路之方式。 1. Neural-like network model training, the model training system 132 of the update service 13 of the system 100 of this creation, through the neural-like network, superimposes all samples including but not limited to correlation, similarity, etc., and Adjust the identification and judgment basis of the model; at the same time, this paper creates the method of neural network for this system.

二、支離線運作,本創作該系統100無需聯網,也能自行運作及辨識對象與持續追蹤,並提供無需聯網之通報方式包含但不限於電話、無線電等方式。並可在聯網後將資料交由該更新服務13共享。 2. Support offline operation. In this creation, the system 100 does not need to be connected to the Internet, and can also operate by itself, identify objects and keep track of it, and provide notification methods that do not require connection to the Internet, including but not limited to telephone, radio and other methods. The data can be shared by the update service 13 after networking.

三、系統及演算法自動更新,選擇性或全面硬件升級建議,本創作該系統100透過該更新服務13」,可提供該系統100及演算法之自動更新包,並依據用戶設定來選擇更新時段。同時如更新之內容,有遇到硬件效能不足或無法支援之情形,該系統100將會提供建議更動之硬件配置給予系統管理人員。 3. Automatic update of the system and algorithm, selective or comprehensive hardware upgrade suggestion, the system 100 in this creation can provide the automatic update package of the system 100 and algorithm through the update service 13", and the update time period can be selected according to user settings . At the same time, if the updated content encounters a situation where the hardware performance is insufficient or cannot be supported, the system 100 will provide the system administrator with a suggested hardware configuration to be changed.

四、終端資料校正,本創作該系統100於該動作偵測資料收集傳輸器2之該資料集合模組23,可針對收集如外部環境等影響數據之因素作紀 錄,作為系統感測形式與終端設定之調整,舉例說明:透過環境中溫濕度之數據,自動調整終端的感測數據誤差修正。 4. Terminal data correction, in this creation, the system 100 in the data collection module 23 of the motion detection data collection and transmitter 2 can record the factors that affect the data collected, such as the external environment, etc. Record, as the adjustment of system sensing form and terminal setting, for example: through the data of temperature and humidity in the environment, the error correction of the sensing data of the terminal is automatically adjusted.

本創作與前案之比較與優勢: The comparison and advantages of this creation and the previous case:

1、針對該更新服務13之該模型訓練系統132,傳統之系統是透過增加資料量,來提昇比對以及辨識之所需樣本數,進而增加精準度,而這個問題為樣本數增加,導致系統硬件需等比提升效能,增加系統運作之時間,而樣本間之關聯性與相似性,無法為傳統系統所運用。本創作該系統100透過類神經網路,連結所有辨識樣本之關聯性,在學習時疊加於現有版本演算法模型,提高實際運用情境之辨識能力。本創作該系統100類神經網路之訓練方式,在樣本數相同的情況下提升辨識能力,並減少90%之訓練時間。 1. For the model training system 132 of the update service 13, the traditional system increases the number of samples required for comparison and identification by increasing the amount of data, thereby increasing the accuracy. The hardware needs to improve the performance proportionally and increase the operating time of the system, and the correlation and similarity between samples cannot be used by traditional systems. In this creation, the system 100 connects the correlations of all identification samples through a neural network, and superimposes the algorithm model of the existing version during learning, so as to improve the identification ability of the actual application situation. The training method of 100 types of neural networks in this system is created, which improves the recognition ability and reduces the training time by 90% when the number of samples is the same.

2、針對該更新服務13之該模型訓練系統132,傳統系統由於外部環境因素,其感測數據會有錯誤或是落差,導致相關系統的辨識精確度不一,且受到範圍限制,越大範圍辨識成功度越低,本創作該系統100建基於神經網絡模型之演算法,透過辨識系統與趨勢預測,透過1100個辨識模型包含10000以上之辨識點,達成室內跌倒辨識率99%之精準度。 2. For the model training system 132 of the update service 13, the sensing data of the traditional system may have errors or drop due to external environmental factors, resulting in different identification accuracy of the related systems, and is limited by the scope. The lower the recognition success rate is, the system 100 of this creation is based on the algorithm of the neural network model. Through the recognition system and trend prediction, the 1,100 recognition models contain more than 10,000 recognition points, and the accuracy of the indoor fall recognition rate of 99% is achieved.

藉此,本創作利用該處理器1之該事件辨識系統11連接設有該動作偵測資料收集傳輸器2及該反應裝置3,該事件辨識系統11連接設有該資料庫服務12,該處理器1連接設有該更新服務13;進而達成,該系統100透過該動作偵測資料收集傳輸器2,該系統100持續偵測每曰24小時室內人員動入狀態,透過該事件辨識系統11,對偵測範圍內之人員做動作判斷,而在對對象進入危險情形或動作時,由該反應裝置3針對目標對象做出反應;有効提升保護場域內所有人員之安全,解決危險情形所造成之防線死角,全自動化可預測危險監測 共通報,該系統100透過一系列自動化方案與遠端聯繫手段,達成場域安全性的全面提升,符合進步、實用與使用者之所需,足見其增益之處。 Therefore, the present creation utilizes the event recognition system 11 of the processor 1 to connect the motion detection data collection transmitter 2 and the response device 3, the event recognition system 11 to connect to the database service 12, and the processing The update service 13 is connected to the device 1; further, the system 100 collects the transmitter 2 through the motion detection data, the system 100 continuously detects the movement status of indoor personnel 24 hours a day, and through the event identification system 11, Make action judgments for people within the detection range, and when the object enters a dangerous situation or action, the reaction device 3 will respond to the target object; effectively improve the safety of all personnel in the protection field, and solve the problems caused by dangerous situations. fully automated and predictable hazard monitoring It is reported that the system 100 achieves a comprehensive improvement of field security through a series of automation solutions and remote contact means, which meets the needs of progress, practicality and users, which shows its advantages.

綜觀上述可知,本創作在突破先前之技術結構下,確實已達到所欲增進之功效,且也非熟悉該項技藝者所易於思及,再者,本創作申請前未曾公開,其所具之進步性、實用性,顯已符合創作專利之申請要件,爰依法提出創作申請,懇請 貴局核准本件創作專利申請案,以勵創作,至感德便。 Looking at the above, it can be seen that this creation has indeed achieved the desired enhancement under the condition of breaking through the previous technical structure, and it is not easy for those who are familiar with the technology to think about it. Furthermore, this creation has not been published before the application. It is progressive and practical, and it clearly meets the application requirements for a creative patent. It is advisable to file a creative application in accordance with the law. I urge your bureau to approve this creative patent application, in order to encourage creativity, and it is most morally convenient.

以上所述之實施例僅係為說明本創作之技術思想及特點,其目的在使熟習此項技藝之人士能夠瞭解本創作之內容並據以實施,當不能以之限定本創作之專利範圍,即大凡依本創作所揭示之精神所作之均等變化或修飾,仍應涵蓋在本創作之專利範圍內。 The above-mentioned embodiments are only intended to illustrate the technical ideas and characteristics of this creation, and its purpose is to enable those who are familiar with the art to understand the content of this creation and implement it accordingly. It should not be used to limit the patent scope of this creation. That is, all equivalent changes or modifications made in accordance with the spirit disclosed in this creation should still be covered within the scope of the patent of this creation.

100:系統 100: System

1:處理器 1: Processor

11:事件辨識系統 11: Event Identification System

111:動作判定系統 111: Action Judgment System

112:趨勢預測系統 112: Trend Forecasting Systems

12:資料庫服務 12: Database Services

121:形體模型模組 121: Body model module

122:紀錄資料庫 122: Record Database

123:通報資料庫 123: Notification Database

13:更新服務 13: Update service

131:更新中心 131: Update Center

132:模型訓練系統 132: Model Training System

2:動作偵測資料收集傳輸器 2: Motion detection data collection transmitter

21:感測形式模組 21: Sensing form module

22:感測終端模組 22: Sensing terminal module

23:資料集合模組 23: Data Collection Module

3:反應裝置 3: Reaction device

31:警示模組 31: Warning module

311:警示手段 311: Warning Means

312:事件說明手段 312: Event Description Means

32:通報模組 32: Notification Module

321:通報手段 321: Means of notification

322:通報事件內容資訊 322: Notification of event content information

Claims (10)

一種危險預測預防系統,其特徵是,該系統包括:一處理器,為實體構件係包含相互連接之一事件辨識系統及一資料庫服務;一動作偵測資料收集傳輸器,為實體構件係連接該處理器之該事件辨識系統;一反應裝置,為實體構件係連接該處理器之該事件辨識系統;利用該系統透過該動作偵測資料收集傳輸器,該系統持續偵測每曰24小時室內人員動入狀態,透過該事件辨識系統對偵測範圍內之人員做動作判斷,而在對對象進入危險情形或動作時,由該反應裝置針對目標對象做出反應。 A risk prediction and prevention system, characterized in that the system includes: a processor for the entity component system including an event identification system and a database service connected to each other; a motion detection data collection and transmission transmitter for the entity component system connection The event recognition system of the processor; a response device, which is the event recognition system whose physical component is connected to the processor; using the system to collect the transmitter through the motion detection data, the system continues to detect indoor 24 hours a day When the person is in the state of movement, the event identification system will judge the movement of the person within the detection range, and when the object enters a dangerous situation or action, the reaction device will respond to the target object. 如申請專利範圍第1項所述之危險預測預防系統,其中,所述處理器連接設有一更新服務,該更新服務包含但不限於一更新中心、一模型訓練系統。 The risk prediction and prevention system according to claim 1, wherein the processor is connected with an update service, and the update service includes but is not limited to an update center and a model training system. 如申請專利範圍第1項或第2項所述之危險預測預防系統,其中,所述動作偵測資料收集傳輸器包含但不限於一感測形式模組、一感測終端模組、一資料集合模組。 The risk prediction and prevention system as described in item 1 or item 2 of the scope of the application, wherein the motion detection data collection and transmission device includes but is not limited to a sensing form module, a sensing terminal module, a data Collection mods. 如申請專利範圍第1項或第2項所述之危險預測預防系統,其中,所述處理器之該事件辨識系統包含但不限於一動作判定系統、一趨勢預測系統。 The risk prediction and prevention system according to the first or second claim of the scope of the application, wherein the event identification system of the processor includes but is not limited to an action determination system and a trend prediction system. 如申請專利範圍第1項或第2項所述之危險預測預防系統,其中,所述反應裝置包含但不限於一警示模組、一通報模組。 The risk prediction and prevention system according to the first or second claim of the scope of the application, wherein the reaction device includes but is not limited to a warning module and a notification module. 如申請專利範圍第5項所述之危險預測預防系統,其中,所述反應裝置之該警示模組包含一警示手段及一事件說明手段。 The risk prediction and prevention system as described in claim 5, wherein the warning module of the reaction device comprises a warning means and an event description means. 如申請專利範圍第6項所述之危險預測預防系統,其中,所述警示模組之該警示手段包含但不限於聲音、光線、影像;該警示模組之該事件說明手段包含但不限於文字、影像、語音。 According to the risk prediction and prevention system described in item 6 of the scope of the application, the warning means of the warning module includes but not limited to sound, light, and image; the event description means of the warning module includes but not limited to text , video, voice. 如申請專利範圍第5項所述之危險預測預防系統,其中,所述反應裝置之該通報模組係包含一通報手段及一通報事件內容資訊。 The risk prediction and prevention system according to claim 5, wherein the notification module of the response device includes a notification means and a notification event content information. 如申請專利範圍第8項所述之危險預測預防系統,其中,所述通報模組之該通報手段可透過包含但不限於電話、廣播、訊息等方式,該通報事件內容資訊係提供對象之包含但不限於位置資訊、事件狀況、對象情況等資訊,並通報可處理及需被告知之人員,迅速前往事發地點。 According to the risk prediction and prevention system described in item 8 of the scope of the application, the notification means of the notification module can include but not limited to telephone, broadcast, message, etc., and the notification event content information is included in the provided object. However, it is not limited to information such as location information, incident status, and object conditions, and informs the personnel who can be dealt with and who need to be notified, and promptly go to the incident location. 如申請專利範圍第1項或第2項所述之危險預測預防系統,其中,所述資料庫服務係包含但不限於一形體模型模組、一紀錄資料庫、一通報資料庫。 According to the risk prediction and prevention system described in item 1 or item 2 of the scope of the application, the database service includes but is not limited to a physical model module, a record database, and a notification database.
TW110203406U 2021-03-30 2021-03-30 Hazard Prediction and Prevention System TWM627987U (en)

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