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TWI619929B - Air quality monitoring system and method thereof - Google Patents

Air quality monitoring system and method thereof Download PDF

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Publication number
TWI619929B
TWI619929B TW105134946A TW105134946A TWI619929B TW I619929 B TWI619929 B TW I619929B TW 105134946 A TW105134946 A TW 105134946A TW 105134946 A TW105134946 A TW 105134946A TW I619929 B TWI619929 B TW I619929B
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information
air pollution
micro
vehicle body
processing platform
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TW105134946A
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TW201816368A (en
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吳致如
陳光平
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神達電腦股份有限公司
瀚平顧問有限公司
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Priority to TW105134946A priority Critical patent/TWI619929B/en
Priority to CN201720011277.3U priority patent/CN206756770U/en
Priority to CN201710007542.5A priority patent/CN108375648A/en
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Publication of TW201816368A publication Critical patent/TW201816368A/en

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Abstract

一種空氣品質監控系統及其方法,應用於一行動載具上,該行動載具包含一車體。該空氣品質監控系統包含一設置於該車體內之檢測裝置、一定位裝置、多個空污微測站,及一雲端處理平台。該檢測裝置包括一分析單元。該分析單元具有檢測模組,及一控制模組。藉由該檢測裝置設置於該車體內之設計,於該車體行駛經過所述空污微測站時,該定位裝置產生對應空污定位資訊,而該雲端處理平台將所述空污定位資訊與所述空污微測站之微測資訊配合一環保單位公布之標準資訊經過分析運算處理而產生一校正指令,並傳送該校正指令至該檢測裝置與所述空污微測站與進行校正,以確保其準確性及公正性。 An air quality monitoring system and method thereof are applied to a mobile vehicle, the mobile vehicle comprising a vehicle body. The air quality monitoring system comprises a detecting device disposed in the vehicle body, a positioning device, a plurality of air pollution micro-test stations, and a cloud processing platform. The detection device includes an analysis unit. The analysis unit has a detection module and a control module. And the design of the detecting device is disposed in the vehicle body, and when the vehicle body travels through the air pollution micro-test station, the positioning device generates corresponding air pollution positioning information, and the cloud processing platform sets the air pollution positioning information Corresponding to the micro-test information of the air pollution micro-test station, a standard information published by an environmental protection unit is subjected to an analysis operation process to generate a correction command, and the correction command is transmitted to the detection device and the air pollution micro-test station for correction To ensure its accuracy and fairness.

Description

空氣品質監控系統及其方法 Air quality monitoring system and method thereof

本發明是有關於一種監控系統,特別是指一種空氣品質監控系統及其方法。 The present invention relates to a monitoring system, and more particularly to an air quality monitoring system and method thereof.

空氣中充滿許多不可見的灰塵與污染物,其中細小懸浮微粒如:PM10或PM2.5,由人體吸入後可能會進入喉嚨、附著於人體呼吸系統或進入血管中隨著血液循環等風險,而導致人體器官造成影響與病變。近年來,空氣污染議題愈加受到重視,官方環保單位在各地區設有空污測站以監測空氣汙染情形且將監測數據收集比對與校正後,並於官網上公布空氣污染之資訊,而大眾能由官方公布之資訊了解大區域性的空氣品質,但無法得知目前所處的地點或較小區域性的空氣污染資訊。 The air is filled with many invisible dust and pollutants, such as PM 10 or PM 2.5 , which may enter the throat, attach to the human respiratory system or enter the blood vessels, and the blood may circulate, etc., when inhaled by the human body. Causes human organs to cause effects and lesions. In recent years, air pollution issues have received more and more attention. Official environmental protection units have air pollution stations in various regions to monitor air pollution and compare and calibrate monitoring data, and publish information on air pollution on the official website. The information published by the official can be used to understand the air quality of large areas, but it is impossible to know the current location or the small regional air pollution information.

因此,現今已有於各地室內外環境區域,如:醫院、寺廟、戶外景點或公車站等地方設置微型測站並顯示出對應之微測資訊,不過所述微型測站的監測儀器的品質良莠不齊而與官方標準測站之監測儀器有所差異,且通常監測儀器只有出廠進行校正或是每1~2年定期調校,監測期間無法有效確保監測的準確性。再者,微型測站監測數據僅是單一化收集並無法如同官方收集多筆資料數據與 經過分析比對後再進行校正換算,欠缺監測資訊的公正性與有效性,極需探討研究與改善。 Therefore, it is now possible to set up micro-station stations in various indoor and outdoor environmental areas, such as hospitals, temples, outdoor attractions or bus stops, and display corresponding micro-test information, but the quality of the monitoring instruments of the micro-station is not good. However, it is different from the monitoring instruments of the official standard station, and usually the monitoring instrument is only factory-corrected or periodically adjusted every 1~2 years, and the monitoring accuracy cannot be effectively ensured during the monitoring period. Furthermore, micro-station monitoring data is only a singular collection and cannot collect as many data as the official After the analysis and comparison, the correction and conversion are performed, and the lack of monitoring information is fair and effective, and it is extremely necessary to discuss research and improvement.

因此,本發明之目的,即在提供一種提高準確性且具公正性之空氣品質監控系統。 Accordingly, it is an object of the present invention to provide an air quality monitoring system that improves accuracy and impartiality.

於是,本發明空氣品質監控系統,應用於一行動載具上。該行動載具包含一車體。該空氣品質監控系統包含一設置於該車體內之檢測裝置、一設置於該車體內之定位裝置、多個設置於不同地點之空污微測站,及一雲端處理平台。 Thus, the air quality monitoring system of the present invention is applied to a mobile vehicle. The mobile vehicle includes a body. The air quality monitoring system comprises a detecting device disposed in the vehicle body, a positioning device disposed in the vehicle body, a plurality of air pollution micro-test stations disposed at different locations, and a cloud processing platform.

該檢測裝置包括一採樣單元,及一連通該採樣單元之分析單元。該採樣單元具有一穿設該車體之採樣管,及一開設於該採樣管上且可供外界空氣污染源進入該採樣管之採樣口。該分析單元具有一連通該採樣管之檢測模組,及一連結該檢測模組的控制模組。該檢測模組用以監測分析外界空氣污染源且產生對應於該車體行駛之不同地理位置的檢測資訊。該控制模組接收儲存該檢測模組之所述檢測資訊。 The detecting device comprises a sampling unit and an analyzing unit connected to the sampling unit. The sampling unit has a sampling tube through which the vehicle body is disposed, and a sampling port opened on the sampling tube and accessible to an outside air pollution source to enter the sampling tube. The analysis unit has a detection module connected to the sampling tube and a control module connected to the detection module. The detection module is configured to monitor and analyze external air pollution sources and generate detection information corresponding to different geographic locations of the vehicle body. The control module receives the detection information for storing the detection module.

該定位裝置設置於該車體內且連結該分析單元之控制模組,並記錄該車體之地理資訊與接收該控制模組所接收到之檢測資訊,而進一步將所述地理資訊分別與對應之地理位置的檢測資訊整合成對應之空污定位資訊。所述空污微測站監測對應之地點的汙染源而產生對應之微測資訊。 The positioning device is disposed in the vehicle body and is connected to the control module of the analysis unit, and records the geographic information of the vehicle body and receives the detection information received by the control module, and further correspondingly the geographic information. The location detection information is integrated into the corresponding air pollution location information. The air pollution micro-test station monitors the pollution source of the corresponding location to generate corresponding micro-test information.

該雲端處理平台網路連線取得一環保單位公布之各地空氣污染源的標準資訊,且接收該定位裝置之空污定位資訊與所述空污微測站的資訊,並將所述之空污定位資訊配合對應之地點所述空污微測站的資訊與該環保單位之標準資訊經過分析運算產生一校正指令。該雲端處理平台傳送該校正指令經該定位裝置至該分析單元之控制模組,於該車體行駛過程,該控制模組執行該校正指令且即時校正該檢測模組的檢測資訊而產生校正後對應的檢測資訊,該雲端處理平台傳送該校正指令至所述空污微測站,所述空污微測站分別執行該校正指令且校正所監測之空氣污染源的微測資訊而產生校正後對應的微測資訊。 The cloud processing platform network connection obtains standard information of air pollution sources published by an environmental protection unit, and receives the air pollution localization information of the positioning device and the information of the air pollution micro-test station, and locates the air pollution The information is matched with the information of the air pollution micro-test station corresponding to the location and the standard information of the environmental protection unit is subjected to an analysis operation to generate a correction instruction. The cloud processing platform transmits the correction command to the control module of the analysis unit via the positioning device, and the control module executes the correction command and instantly corrects the detection information of the detection module to generate the correction after the vehicle body travels Corresponding detection information, the cloud processing platform transmits the correction instruction to the air pollution micro-test station, and the air pollution micro-test station respectively executes the correction instruction and corrects the micro-test information of the monitored air pollution source to generate a corrected corresponding Micro-test information.

因此,本發明之另一目的,即在提供一種提高準確性且具公正性之空氣品質監控方法。 Accordingly, it is another object of the present invention to provide an air quality monitoring method that improves accuracy and impartiality.

於是,本發明空氣品質監控方法,應用於一配合於一行動載具之空氣品質監控系統。該行動載具包含一車體。該空氣品質監控系統包含一檢測裝置、一定位裝置、多個空污微測站,及一雲端處理平台。該檢測裝置包括一採樣單元,及一分析單元。該採樣單元具有一穿設該車體之採樣管,及一開設於該採樣管上且可供外界空氣污染源進入該採樣管之採樣口,該分析單元具有一檢測模組,及一連結該檢測模組的控制模組。該遠端管理系統的方法包含一步驟(A)、一步驟(B)、一步驟(C),及一步驟(D)。 Thus, the air quality monitoring method of the present invention is applied to an air quality monitoring system that is coupled to a mobile vehicle. The mobile vehicle includes a body. The air quality monitoring system comprises a detecting device, a positioning device, a plurality of air pollution micro-test stations, and a cloud processing platform. The detecting device comprises a sampling unit and an analyzing unit. The sampling unit has a sampling tube through which the vehicle body is disposed, and a sampling port opened on the sampling tube and accessible to an outside air pollution source, the analysis unit has a detection module, and a connection detection The control module of the module. The method of the remote management system comprises a step (A), a step (B), a step (C), and a step (D).

於該步驟(A),該車體行駛中,外界空氣污染源由該採樣單元之採樣管進入該分析單元且由該檢測模組 分析檢測,該檢測模組產生對應於該車體行駛之地理位置的檢測資訊,該控制模組接收與儲存該檢測模組之所述檢測資訊。 In the step (A), during the running of the vehicle body, the external air pollution source enters the analysis unit by the sampling tube of the sampling unit and is used by the detection module. The detection module generates detection information corresponding to the geographical position of the vehicle body, and the control module receives and stores the detection information of the detection module.

於該步驟(B),該定位裝置記錄該車體之地理資訊且接收該控制模組所接收到之所述檢測資訊,並將所述地理資訊分別與對應之地理位置的檢測資訊整合成對應之空污定位資訊,且該定位裝置每隔一預設時間將對應之空污定位資訊傳至雲端處理平台,所述空污微測站分別將對應之監測地的微測資訊傳至該雲端處理平台。 In the step (B), the positioning device records the geographic information of the vehicle body and receives the detection information received by the control module, and integrates the geographic information with the detection information of the corresponding geographical location respectively. The air pollution positioning information is transmitted, and the positioning device transmits the corresponding air pollution positioning information to the cloud processing platform every predetermined time, and the air pollution micro-test station respectively transmits the micro-test information of the corresponding monitoring place to the cloud Processing platform.

於該步驟(C),該雲端處理平台網路連線取得一環保單位公布之各地空氣污染源的標準資訊,且將所述之空污定位資訊與所述空污微測站的微測資訊配合對應之地點的標準資訊經過分析運算產生一校正指令。 In the step (C), the cloud processing platform network connection obtains standard information of air pollution sources published by an environmental protection unit, and matches the air pollution positioning information with the micro-test information of the air pollution micro-test station. The standard information of the corresponding location is subjected to an analysis operation to generate a correction instruction.

於該步驟(D),該雲端處理平台傳送該校正指令經該定位裝置至該分析單元之控制模組,於該車體行駛過程,該控制模組執行該校正指令且即時校正該檢測模組的資訊而產生校正後對應的檢測資訊,該雲端處理平台傳送該校正指令至所述空污微測站,所述空污微測站執行該校正指令且校正所監測之空氣污染源的資訊而產生校正後對應的微測資訊。 In the step (D), the cloud processing platform transmits the correction command to the control module of the analysis unit via the positioning device, and the control module executes the correction command and instantly corrects the detection module during the driving process of the vehicle body. And generating the corrected detection information, the cloud processing platform transmitting the correction instruction to the air pollution micro-test station, wherein the air pollution micro-test station executes the correction instruction and corrects information of the monitored air pollution source to generate Corresponding micro-test information after correction.

本發明之功效在於:藉由該檢測裝置設置於該車體內之設計,於該車體行駛經過所述空污微測站時,該定位裝置配合該控制模組而產生對應空污定位資訊,而該雲端處理平台將所述空污定位資訊與所述微測資訊配合所 述標準資訊經過分析運算處理而產生該校正指令,並傳送該校正指令至該檢測裝置與所述空污微測站,而能校正所述檢測資訊與所述微測資訊,以確保其準確性及公正性。 The effect of the present invention is that, by the design of the detecting device disposed in the vehicle body, when the vehicle body travels through the air pollution micro-test station, the positioning device cooperates with the control module to generate corresponding air pollution positioning information. The cloud processing platform cooperates with the air pollution positioning information and the micro measurement information. The standard information is generated by the analysis operation processing to generate the correction instruction, and the correction instruction is transmitted to the detecting device and the air pollution micro-test station, and the detection information and the micro-test information can be corrected to ensure the accuracy thereof. And impartiality.

10‧‧‧行動載具 10‧‧‧Action Vehicles

11‧‧‧車體 11‧‧‧Car body

2‧‧‧檢測裝置 2‧‧‧Detection device

21‧‧‧採樣單元 21‧‧‧Sampling unit

211‧‧‧採樣管 211‧‧‧Sampling tube

212‧‧‧採樣口 212‧‧‧Sampling port

22‧‧‧分析單元 22‧‧‧Analysis unit

221‧‧‧檢測模組 221‧‧‧Detection module

222‧‧‧控制模組 222‧‧‧Control Module

23‧‧‧收集單元 23‧‧‧Collection unit

231‧‧‧抽氣幫浦 231‧‧‧Exhaust pump

3‧‧‧定位裝置 3‧‧‧ Positioning device

4‧‧‧空污微測站 4‧‧‧Air pollution micro-station

5‧‧‧雲端處理平台 5‧‧‧Cloud Processing Platform

60‧‧‧標準測站 60‧‧‧Standard station

A~D‧‧‧步驟 A~D‧‧‧ steps

C1~C2‧‧‧步驟 C1~C2‧‧‧ steps

C21~C23‧‧‧步驟 C21~C23‧‧‧Steps

F‧‧‧方向 F‧‧‧ directions

本發明之其他的特徵及功效,將於參照圖式的實施方式中清楚地呈現,其中:圖1是一示意圖,說明本發明空氣品質監控系統之實施例;圖2是一流程圖,說明本發明空氣品質監控方法之第一實施例;及圖3是一流程圖,說明本發明空氣品質監控方法之第二實施例。 Other features and advantages of the present invention will be apparent from the embodiments of the present invention. FIG. 1 is a schematic diagram illustrating an embodiment of the air quality monitoring system of the present invention. FIG. 2 is a flow chart illustrating the present invention. A first embodiment of the inventive air quality monitoring method; and FIG. 3 is a flow chart illustrating a second embodiment of the air quality monitoring method of the present invention.

在本發明被詳細描述之前,應當注意在以下的說明內容中,類似的元件是以相同的編號來表示。 Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same reference numerals.

參閱圖1,本發明空氣品質監控系統之實施例,應用於一行動載具10上,該行動載具10包含一車體11。該空氣品質監控系統包含一設置於該車體11內之檢測裝置2、一設置於該車體11內之定位裝置3、多個設置於不同地點之空污微測站4,及一雲端處理平台5。 Referring to Figure 1, an embodiment of the air quality monitoring system of the present invention is applied to a mobile vehicle 10 that includes a vehicle body 11. The air quality monitoring system includes a detecting device 2 disposed in the vehicle body 11, a positioning device 3 disposed in the vehicle body 11, a plurality of air pollution micro-test stations 4 disposed at different locations, and a cloud processing Platform 5.

該檢測裝置2包括一採樣單元21、一連通該採樣單元21之分析單元22,及一連通該分析單元22之收集單元23。該採樣單元21具有一穿設該車體11之採樣管 211、一開設於該採樣管211上且可供外界空氣污染源進入該採樣管211之採樣口212,及一設置於該採樣管211上且遮覆該採樣口212之濾網(圖未示)。該分析單元22具有一連通該採樣管211之檢測模組221,及一連結該檢測模組221的控制模組222。該檢測模組221用以監測分析外界空氣污染源且產生對應於該車體11行駛之不同地理位置的檢測資訊。該控制模組222接收儲存該檢測模組221之所述檢測資訊。該收集單元23具有一抽氣幫浦231,利用該抽氣幫浦231將空氣污染源吸入該採樣單元21之採樣管211而進入該分析單元22且由該檢測模組221分析檢測後,並將檢測後的污染源抽入該收集單元23收集。而該採樣單元21之濾網的設計,可阻擋外界異物如:蚊蟲、碎石等外來物等進入該採樣管211內,進而避免造成該檢測裝置2內部損壞。 The detecting device 2 comprises a sampling unit 21, an analyzing unit 22 connected to the sampling unit 21, and a collecting unit 23 connected to the analyzing unit 22. The sampling unit 21 has a sampling tube through which the vehicle body 11 is disposed. 211, a sampling port 212 opened on the sampling tube 211 and available for the outside air pollution source to enter the sampling tube 211, and a filter screen disposed on the sampling tube 211 and covering the sampling port 212 (not shown) . The analysis unit 22 has a detection module 221 connected to the sampling tube 211 and a control module 222 connected to the detection module 221 . The detection module 221 is configured to monitor and analyze external air pollution sources and generate detection information corresponding to different geographic locations of the vehicle body 11 to travel. The control module 222 receives the detection information for storing the detection module 221 . The collecting unit 23 has a pumping pump 231, and the air pumping source 231 is used to suck the air pollution source into the sampling tube 211 of the sampling unit 21 to enter the analyzing unit 22, and the detection module 221 analyzes and detects the The detected pollution source is drawn into the collection unit 23 for collection. The filter screen of the sampling unit 21 can block foreign objects such as mosquitoes, gravel and the like from entering the sampling tube 211, thereby avoiding internal damage of the detecting device 2.

該定位裝置3設置於該車體11內且連結該分析單元22之控制模組222,並記錄該車體11之地理資訊與接收該控制模組222所接收到之檢測資訊,而進一步將所述地理資訊與對應之地理位置的檢測資訊整合成對應之空污定位資訊。每一地理資訊紀錄有該車體11行經之地點與時間等資訊,例如,該車體11之經、緯度與時間等資訊。所述空污微測站4分別被設置於各地室內外環境區域,如:醫院、寺廟、戶外景點或公車站等地方,且分別用以監測所在之地點的汙染源而產生並顯示出對應之微測資訊,而便於民眾能了解當下所處地點的空氣品質狀況。 The positioning device 3 is disposed in the vehicle body 11 and connected to the control module 222 of the analysis unit 22, and records the geographic information of the vehicle body 11 and receives the detection information received by the control module 222, and further The geographical information and the corresponding geographical location detection information are integrated into corresponding air pollution positioning information. Each geographic information record has information such as the location and time of the vehicle body 11, such as the latitude, longitude and time of the vehicle body 11. The air pollution micro-test stations 4 are respectively installed in indoor and outdoor environmental areas, such as hospitals, temples, outdoor attractions or bus stops, and are respectively used to monitor the pollution sources of the places where they are located, and display corresponding micro- Information is measured, so that people can understand the air quality status of the current location.

該行動載具10之車體11以F方向行駛前進,該車體11在行駛的過程中,該收集單元23之抽氣幫浦231運轉所產生的吸力而能不斷地將外界空氣污染源從該採樣單元21之採樣口212吸入該採樣管211內,且進入該分析單元22並由該檢測模組221量測而產生所述對應於該車體11所行經路徑之空污相關的檢測資訊後,所述污染源會被吸入該收集單元23收集儲存。而該控制模組222即時接收儲存該檢測模組221所量測到的所述檢測資訊並傳至送該定位裝置3整合,該定位裝置3能即時記錄與定位該車體11之地理資訊,且將所述地理資訊分別配合對應之地理位置的檢測資訊整合成對應之空污定位資訊。簡單來說就是該車體11行駛的過程,該檢測模組221檢測空氣污染源產生的檢測資訊且透過該控制模組222儲存與即時傳送所述檢測資訊至該定位裝置3,進而整合出對應之空污定位資訊,有效將該車體11行經之地點位置及行經時間與對應所述檢測資訊整合成所述空污定位資訊。舉例來說,當該車體11行經其中一空污微測站4的地點時,所述空污定位資訊記錄有對應該空污微測站4之地點的檢測資訊、地理資訊,而便於雲端處理平台5後續分析運用。 The vehicle body 11 of the mobile vehicle 10 travels in the F direction. During the running of the vehicle body 11, the suction force generated by the operation of the pumping pump 231 of the collecting unit 23 can continuously source the outside air pollution source. The sampling port 212 of the sampling unit 21 is sucked into the sampling tube 211, and enters the analyzing unit 22 and is measured by the detecting module 221 to generate the detection information related to the air pollution corresponding to the path of the vehicle body 11 The source of pollution may be taken into the collection unit 23 for collection and storage. The control module 222 immediately receives and stores the detection information measured by the detection module 221 and transmits it to the positioning device 3 for integration. The positioning device 3 can instantly record and locate the geographic information of the vehicle body 11. And integrating the geographic information with the corresponding geographic location detection information into corresponding air pollution location information. The detection module 221 detects the detection information generated by the air pollution source and stores and transmits the detection information to the positioning device 3 through the control module 222, thereby integrating the corresponding information. The air pollution positioning information effectively integrates the location and the elapsed time of the vehicle body 11 with the corresponding detection information into the air pollution positioning information. For example, when the vehicle body 11 passes through the location of one of the air pollution micro-test stations 4, the air pollution positioning information records detection information and geographic information corresponding to the location of the air pollution micro-test station 4, and is convenient for cloud processing. Platform 5 is used for subsequent analysis.

於本實施例中,該定位裝置3即時定位該車體11之地理資訊且同時配合所接收到之對應的檢測資訊而整合出對應之空污定位資訊,但不以此為限,也可利用該控制模組222直接將所述檢測資訊即時傳送至該雲端處理平台5,而該定位裝置3即時將該車體11之地理資訊傳送至 該雲端處理平台5,該雲端處理平台5再依接收到所述檢測資訊與所述地理資訊的時間分析比對而整合出所述空污定位資訊。另外要特別說明的是,於本實施例中,該空氣品質監控系統是應用於公車的態樣上,藉由多台公車在城市內之每天固定路線行駛且發車密集之特點,能於公車行駛間達成主動收集公車路線的空污相關資料且配合多路線公車密集行駛的特點,進而形成空汙相關資料的環境地圖,而使該雲端處理平台5有效取得大量穩定數據且參考性佳之所述空污定位資訊,非常有利於後續分析比對與運算。 In this embodiment, the positioning device 3 instantly locates the geographic information of the vehicle body 11 and integrates the corresponding air pollution positioning information with the corresponding detection information received, but not limited thereto. The control module 222 directly transmits the detection information to the cloud processing platform 5, and the positioning device 3 immediately transmits the geographic information of the vehicle body 11 to The cloud processing platform 5 further integrates the air pollution location information according to the time analysis comparison of the detection information and the geographic information. In addition, in this embodiment, the air quality monitoring system is applied to the bus, and can be driven by the bus by means of multiple buses traveling on a fixed daily route in the city and having a dense departure. Actively collect the air pollution related information of the bus route and cooperate with the characteristics of multi-route bus intensive driving, and then form an environmental map of air pollution related data, so that the cloud processing platform 5 can effectively obtain a large amount of stable data and the reference is good. Smudge positioning information is very beneficial for subsequent analysis and comparison.

該雲端處理平台5網路連線取得一環保單位(圖未示)公布之各地空氣污染源的標準資訊,且接收該定位裝置3之空污定位資訊與所述空污微測站4的資訊,並將所述之空污定位資訊配合對應地點之所述空污微測站4的資訊與該環保單位之標準資訊經過分析運算產生一校正指令。於本實施例中,該環保單位為官方環保單位(行政院環境保護署),一般而言,該環保單位是以大區域性的方式監控,例如:台北市松山區或新北市林口區等方式公布大區域性空污的標準資訊,該環保單位在每一監測區域內分別設置多個不同地點之標準測站60,而所述標準測站60監測對應之地點的空氣污染源且經過收集多筆數據分析與比對換算後,而能公布區域性標準資訊,其標準資訊可於官方環保單位網站查詢且相關空污監測相關細節為該技術領域中具有通常知識者之相關基本知識,在此不另贅述。而該雲端處理平台5透過網路連線取得該環保單位公布之 各地空氣污染源的標準資訊,也就是取得所述標準測站60之標準資訊,而當該車體11行經所述標準測站60的地點時,所述空污定位資訊記錄有對應所述標準測站60之地點的檢測資訊、地理資訊,且該定位裝置3將所述空污定位資訊上傳至該雲端處理平台5。當該車體11行經所述空污微測站4的地點時,所述空污定位資訊記錄有對應所述空污微測站4之地點的檢測資訊、地理資訊,且該定位裝置3將所述空污定位資訊上傳至該雲端處理平台5。而該雲端處理平台5持續收集資料且累積一收集時間後,並將所述之空污定位資訊配合對應地點之所述空污微測站4的微測資訊與該環保單位之標準資訊經過大數據分析運算產生該校正指令。於本實施例中,該雲端處理平台5將所述之空污定位資訊配合對應地點之所述微測資訊與所述標準資訊,進一步舉例來說,該雲端處理平台5將某市某區之其中一標準測站60所提供之所述標準資訊且配合該標準測站60周圍附近之所述空污微測站4提供的所述微測資訊與該車體11行駛經過該標準測站60之空污定位資訊及該車體11行駛經過所述空污微測站4之空污定位資訊,經過大數據收集分析與精密運算而產生該校正指令。換句話說,就是該雲端處理平台5先將某市某區之所述標準測站60區分出各個區域範圍,再將每一區域範圍內的所收集到的所述標準資訊、所述微測資訊與所述空污定位資訊經過大數據分析配合運算方法如線性回歸法或其他演算法等,計算出公正性的校正指令。 The cloud processing platform 5 network connection obtains standard information of air pollution sources published by an environmental protection unit (not shown), and receives the air pollution localization information of the positioning device 3 and the information of the air pollution micro-test station 4, And the air pollution positioning information is matched with the information of the air pollution micro-test station 4 of the corresponding location and the standard information of the environmental protection unit to generate a correction instruction. In this embodiment, the environmental protection unit is an official environmental protection unit (the Environmental Protection Department of the Executive Yuan). Generally speaking, the environmental protection unit is monitored in a large regional manner, such as: Songshan District of Taipei City or Linkou District of New Taipei City. To publish standard information on large-area air pollution, the environmental protection unit separately sets a plurality of standard stations 60 in different locations in each monitoring area, and the standard station 60 monitors the air pollution source of the corresponding location and collects multiple After the data analysis and comparison conversion, the regional standard information can be published. The standard information can be queried on the website of the official environmental protection unit and the relevant details of the relevant air pollution monitoring are relevant basic knowledge of those who have common knowledge in the technical field. Let me repeat. The cloud processing platform 5 obtains the environmental protection unit's announcement through the network connection. The standard information of the air pollution source in various places, that is, the standard information of the standard station 60 is obtained, and when the vehicle body 11 passes through the location of the standard station 60, the air pollution positioning information record corresponds to the standard measurement. The detection information and geographic information of the location of the station 60, and the positioning device 3 uploads the air pollution positioning information to the cloud processing platform 5. When the vehicle body 11 passes through the location of the air pollution micro-test station 4, the air pollution positioning information records detection information and geographic information corresponding to the location of the air pollution micro-test station 4, and the positioning device 3 The air pollution location information is uploaded to the cloud processing platform 5. The cloud processing platform 5 continues to collect data and accumulates a collection time, and the air pollution location information is matched with the micro-test information of the air pollution micro-test station 4 of the corresponding location and the standard information of the environmental protection unit. The data analysis operation produces the correction instruction. In this embodiment, the cloud processing platform 5 matches the air pollution positioning information with the micro-test information of the corresponding location and the standard information. For further example, the cloud processing platform 5 will be a certain area of a certain city. The standard information provided by one of the standard stations 60 and the micro-test information provided by the air pollution micro-test station 4 near the standard station 60 and the vehicle body 11 travel through the standard station 60 The air pollution positioning information and the air pollution positioning information of the vehicle body 11 passing through the air pollution micro-test station 4 are generated by large data collection analysis and precision calculation. In other words, the cloud processing platform 5 first distinguishes the standard stations 60 in a certain area of a certain city from the respective area ranges, and then collects the collected standard information and the micro-tests in each area. The information and the air pollution positioning information are calculated by a big data analysis and a calculation method such as a linear regression method or other algorithms to calculate a fairness correction instruction.

簡單來說,所述標準測站60之設備具有高精密性與準確性也比較昂貴,但所述標準測站60的設置密度較低,而所述微型測站設置密度較高,但無法有效確保監測的準確性,藉由該檢測裝置2設置於該車體11內之設計,而能收集行駛過程的空污定位資訊,有效提供大數據收集,且於該車體11行駛經過所述空污微測站4時與所述標準測站60時,該定位裝置3配合該控制模組222而產生對應空污定位資訊,而該雲端處理平台5再將所述空污定位資訊與所述微測資訊配合所述標準資訊經過分析運算處理而產生該校正指令。而該雲端處理平台5傳送該校正指令經該定位裝置3至該分析單元22之控制模組222,於該車體11行駛過程,該控制模組222執行該校正指令且即時校正該檢測模組221的檢測資訊而產生校正後對應的檢測資訊,且該雲端處理平台5也同時會傳送該校正指令至所述空污微測站4,所述空污微測站4分別執行該校正指令且校正所監測之空氣污染源的資訊而產生對應的微測資訊。相對而言,該環保單位為主標準件,而該車體11配合該檢測裝置2與該定位裝置3的應用就如同於次標準件的概念,藉由該車體11行駛間達成主動收集行駛路線的空污相關資料,進而形成空汙相關資料的環境地圖,而使該雲端處理平台5取得大量穩定且參考性佳之數據,並配合該環保單位之標準資訊而分析運算與產生該校正指令,進而校正所述檢測資訊與所述微測資訊,以提高資訊的公信力與準確性。 In short, the equipment of the standard station 60 is also relatively expensive and accurate, but the standard station 60 has a low setting density, and the micro station has a high density but cannot be effective. The accuracy of the monitoring is ensured, and the design of the detecting device 2 in the vehicle body 11 can collect the air pollution positioning information of the driving process, effectively provide big data collection, and travel through the empty body 11 When the micro-station station 4 is at the time of the standard station 60, the positioning device 3 cooperates with the control module 222 to generate corresponding air pollution positioning information, and the cloud processing platform 5 further uses the air pollution positioning information and the The micro-test information is generated by the analysis operation processing in conjunction with the standard information. The cloud processing platform 5 transmits the correction command to the control module 222 of the analysis unit 22 via the positioning device 3, and during the driving process of the vehicle body 11, the control module 222 executes the correction command and immediately corrects the detection module. The detection information of 221 is generated to generate the corrected detection information, and the cloud processing platform 5 also transmits the correction instruction to the air pollution micro-test station 4, and the air pollution micro-test station 4 respectively executes the correction instruction and Correcting the information of the monitored air pollution source to generate corresponding micro-test information. Relatively speaking, the environmental protection unit is a main standard component, and the application of the vehicle body 11 with the detecting device 2 and the positioning device 3 is like the concept of the secondary standard component, and the active collection driving is achieved by the driving of the vehicle body 11 The air pollution related data of the route, thereby forming an environmental map of the air pollution related data, so that the cloud processing platform 5 obtains a large number of stable and well-referenced data, and analyzes the calculation and generates the correction instruction according to the standard information of the environmental protection unit. The detection information and the micro-test information are further corrected to improve the credibility and accuracy of the information.

另外要說明的是,該行動載具10還包含一設置於該車體11內且連結該定位裝置3的顯示單元(圖未示),其中,該定位裝置3接收該控制模組222校正後之檢測資訊,且即時將整合後之空污定位資訊傳送至該雲端處理平台5與該顯示單元顯示,而可供民眾得知。當然也可透過開發APP軟體(圖未示)與雲端處理平台5整合連線,民眾可利用如手機或行動裝置之網路開啟APP軟體,而方便可即時取得該空氣品質監控系統之相關資訊。 It should be noted that the mobile device 10 further includes a display unit (not shown) disposed in the vehicle body 11 and coupled to the positioning device 3, wherein the positioning device 3 receives the control module 222 after being corrected. The detection information is transmitted to the cloud processing platform 5 and the display unit for immediate display, and is available to the public. Of course, the development software (not shown) can be integrated with the cloud processing platform 5, and the public can use the network such as a mobile phone or a mobile device to open the APP software, and the information about the air quality monitoring system can be obtained instantly.

參閱圖1與圖2,本發明空氣品質監控方法第一實施例,應用於應用於如上所述之空氣品質監控系統。該空氣品質監控方法包含一步驟(A)、一步驟(B)、一步驟(C),及一步驟(D)。 Referring to Figures 1 and 2, a first embodiment of the air quality monitoring method of the present invention is applied to an air quality monitoring system as described above. The air quality monitoring method comprises a step (A), a step (B), a step (C), and a step (D).

首先,於該步驟(A),該車體11行駛中,外界空氣污染源由該採樣單元21之採樣管211進入該分析單元22且由該檢測模組221分析檢測,而該檢測模組221產生對應於該車體11行駛之不同地理位置的檢測資訊,該控制模組222接收與儲存該檢測模組221之所述檢測資訊。簡單來說,就是該分析單元22之檢測模組221會量測到該車體11行駛過程中所經過的地點路徑的空氣污染相關狀況且產生所述檢測資訊後,並儲存於該控制模組222。於本實施例中,該檢測模組221所產生的檢測資訊,是由該檢測模組221所量測外界空氣污染源而以類比量之數據形式呈現且經過該檢測模組221之內建的轉換關係式運算轉換後而產生對應之檢測資訊,但不以此為限。而該轉換關係式具 有一第一基準值、一第二基準值、一第三基準值、一第一轉換係數、一第二轉換係數,及一第三轉換係數。當所量測之類比量在該第一基準值以下,所對應之檢測資訊等於該類比量除以該第一基準值後再乘以該第一轉換係數。當所量測之類比量大於該第一基準值且在該第二基準值以下,所對應之檢測資訊等於該類比量除以該第二基準值與該第一基準值的差值後再乘以該第二轉換係數,當所量測之類比量大於該第二基準值且在該第三基準值以下,所對應之檢測資訊等於該類比量除以該第三基準值與該第二基準值的差值後再乘以該第三轉換係數。 First, in the step (A), when the vehicle body 11 is running, the external air pollution source enters the analysis unit 22 by the sampling tube 211 of the sampling unit 21 and is detected and detected by the detection module 221, and the detection module 221 generates The control module 222 receives and stores the detection information of the detection module 221 corresponding to the detection information of different geographic locations of the vehicle body 11 . To be simple, the detection module 221 of the analysis unit 22 measures the air pollution-related status of the path of the vehicle body 11 during the running of the vehicle body 11 and generates the detection information, and stores the detection information in the control module. 222. In this embodiment, the detection information generated by the detection module 221 is represented by the analog air volume of the detection module 221 and is represented by the analog data and is converted by the detection module 221 . After the relational operation is converted, the corresponding detection information is generated, but not limited thereto. And the conversion relationship has There is a first reference value, a second reference value, a third reference value, a first conversion coefficient, a second conversion coefficient, and a third conversion coefficient. When the measured analog quantity is below the first reference value, the corresponding detection information is equal to the analog quantity divided by the first reference value and then multiplied by the first conversion coefficient. When the measured analog quantity is greater than the first reference value and below the second reference value, the corresponding detection information is equal to the analog quantity divided by the difference between the second reference value and the first reference value, and then multiplied With the second conversion coefficient, when the measured analog quantity is greater than the second reference value and below the third reference value, the corresponding detection information is equal to the analog quantity divided by the third reference value and the second reference The difference in value is then multiplied by the third conversion factor.

於該步驟(B),該定位裝置3記錄該車體11之地理資訊且接收該控制模組222所接收到之所述檢測資訊,並將所述地理資訊分別與對應之地理位置的檢測資訊整合成對應之空污定位資訊而傳至雲端處理平台5,所述空污微測站4分別將對應之監測地的微測資訊傳至該雲端處理平台5。也就是說,該車體11行駛過程的空污定位資訊回傳至雲端處理平台5,且當該車體11行經所述空污微測站4的地點時,所述空污定位資訊記錄有對應所述空污微測站4之地點的檢測資訊、地理資訊,而所述空污微測站4也會將對應之監測地的微測資訊傳至該雲端處理平台5,便於雲端處理平台5後續數據分析與比對運算。 In the step (B), the positioning device 3 records the geographic information of the vehicle body 11 and receives the detection information received by the control module 222, and the geographic information and the corresponding geographical location detection information respectively. The corresponding air pollution location information is transmitted to the cloud processing platform 5, and the air pollution micro-test station 4 transmits the micro-test information of the corresponding monitoring location to the cloud processing platform 5, respectively. That is to say, the air pollution positioning information of the vehicle body 11 during travel is transmitted back to the cloud processing platform 5, and when the vehicle body 11 passes through the location of the air pollution micro-test station 4, the air pollution positioning information record has Corresponding to the detection information and geographic information of the location of the air pollution micro-test station 4, the air pollution micro-test station 4 also transmits the micro-test information of the corresponding monitoring location to the cloud processing platform 5, facilitating the cloud processing platform. 5 subsequent data analysis and comparison operations.

於該步驟(C),該雲端處理平台5網路連線取得一環保單位公布有關各地空氣污染源的標準資訊,且將所述之空污定位資訊與所述空污微測站4的微測資訊配合 對應之地點的標準資訊經過分析運算產生一校正指令。詳細來說,而該雲端處理平台5透過網路連線取得該環保單位公布之各地空氣污染源的標準資訊也就是取得所述標準測站60之標準資訊,而當該車體11行經所述標準測站60的地點時,所述空污定位資訊記錄有對應所述標準測站60之地點的檢測資訊、地理資訊,且該定位裝置3將所述空污定位資訊上傳至該雲端處理平台5。當該車體11行經所述空污微測站4的地點時,所述空污定位資訊記錄有對應所述空污微測站4之地點的檢測資訊、地理資訊,且該定位裝置3將所述空污定位資訊上傳至該雲端處理平台5。 In the step (C), the cloud processing platform 5 network connection obtains an environmental protection unit to publish standard information about air pollution sources in various places, and the air pollution positioning information and the micro-measurement of the air pollution micro-test station 4 Information cooperation The standard information of the corresponding location is subjected to an analysis operation to generate a correction instruction. In detail, the cloud processing platform 5 obtains the standard information of the air pollution sources published by the environmental protection unit through the network connection, that is, obtains the standard information of the standard station 60, and when the vehicle body 11 passes the standard When the location of the station 60 is measured, the air pollution positioning information records detection information and geographic information corresponding to the location of the standard station 60, and the positioning device 3 uploads the air pollution positioning information to the cloud processing platform 5 . When the vehicle body 11 passes through the location of the air pollution micro-test station 4, the air pollution positioning information records detection information and geographic information corresponding to the location of the air pollution micro-test station 4, and the positioning device 3 The air pollution location information is uploaded to the cloud processing platform 5.

於該步驟(D),該雲端處理平台5傳送該校正指令經該定位裝置3至該分析單元22之控制模組222,而該控制模組222執行該校正指令且於該車體11行駛過程中即時校正該檢測模組221的檢測資訊而產生校正後對應的檢測資訊。該雲端處理平台5傳送該校正指令至所述空污微測站4,所述空污微測站4執行該校正指令且校正所監測之空氣污染源的微測資訊而產生對應的微測資訊,而能確保準確性且提供具有公信力的所述檢測資訊與所述微測資訊。其中,該定位裝置3接收該控制模組222校正後之檢測資訊,且即時將整合後之空污定位資訊傳送至該雲端處理平台5與該顯示單元顯示,而可供民眾得知。 In the step (D), the cloud processing platform 5 transmits the correction command to the control module 222 of the analysis unit 22 via the positioning device 3, and the control module 222 executes the correction command and runs on the vehicle body 11 The detection information of the detection module 221 is corrected in real time to generate the corresponding detection information after the correction. The cloud processing platform 5 transmits the correction instruction to the air pollution micro-test station 4, and the air pollution micro-test station 4 executes the correction instruction and corrects the micro-test information of the monitored air pollution source to generate corresponding micro-test information. The detection information and the micro-test information with credibility can be ensured. The positioning device 3 receives the corrected detection information of the control module 222, and immediately transmits the integrated air pollution positioning information to the cloud processing platform 5 and the display unit for display by the public.

要特別說明的是,該步驟(C)包括一步驟(C1),及一步驟(C2)。 It is to be noted that the step (C) includes a step (C1) and a step (C2).

於該步驟(C1)中,該雲端處理平台5網路連線 取得該環保單位公布之各地空氣品質的標準資訊,且收集所述空污定位資訊與所述微測資訊累積一收集時間。於本實施例中,該收集時間為為一季,但不以此為限,也可依需求累積較長時間如:半年或一年等,而累積增加大數據分析的資料。 In the step (C1), the cloud processing platform 5 is connected to the network. Obtaining standard information on the air quality of the localities announced by the environmental protection unit, and collecting the collected air pollution location information and the micro-test information to accumulate a collection time. In this embodiment, the collection time is one season, but not limited thereto, and a long time such as half a year or one year may be accumulated according to requirements, and the data of the big data analysis is cumulatively increased.

於該步驟(C2)中,將所述空污定位資訊分別與對應之地點的微測資訊及對應之地點的標準資訊進行分析比對與運算而產生該校正指令。也就是說,該雲端處理平台5持續收集資料且累積該收集時間後,並將所述之空污定位資訊配合對應地點之所述空污微測站4的微測資訊與該環保單位之標準資訊經過大數據分析運算產生該校正指令。而該雲端處理平台5將所述之空污定位資訊配合對應地點之所述微測資訊與所述標準資訊,進一步舉例來說,該雲端處理平台5將某市某區之其中一標準測站60所提供之所述標準資訊且配合該標準測站60周圍附近之所述空污微測站4提供的所述微測資訊與該車體11行駛經過該標準測站60之空污定位資訊及該車體11行駛經過所述空污微測站4之空污定位資訊,經過大數據收集分析與精密運算而產生該校正指令。換句話說,就是該雲端處理平台5先將某市某區之所述標準測站60區分出各個區域範圍,再將每一區域範圍內的所收集到的所述標準資訊、所述微測資訊與所述空污定位資訊經過大數據分析配合運算方法如線性回歸法或其他演算法等,計算出公正性的校正指令。於本實施例中,該雲端處理平台5會每隔一校正時間更新產 生出對應之校正指令,且於該步驟(D)中,該雲端處理平台5每隔該校正時間會傳送該校正指令至該分析單元22之控制模組222與所述空污微測站4。而本實施例中,該校正時間為一週,但不以此為限,也可以是配合該收集時間為一季或是依實際情形,縮短校正時間為一天。 In the step (C2), the air pollution positioning information is separately compared with the micro-test information of the corresponding location and the standard information of the corresponding location to generate the correction command. That is, the cloud processing platform 5 continuously collects data and accumulates the collection time, and matches the air pollution location information with the micro-test information of the air pollution micro-test station 4 of the corresponding location and the standard of the environmental protection unit. The information is generated by the big data analysis operation. The cloud processing platform 5 matches the air pollution positioning information with the micro-test information of the corresponding location and the standard information. For further example, the cloud processing platform 5 selects one of the standard stations of a certain city. The standard information provided by the 60 and the micro-test information provided by the air pollution micro-test station 4 near the standard station 60 and the air pollution positioning information of the vehicle body 11 traveling through the standard station 60 And the vehicle body 11 travels through the air pollution positioning information of the air pollution micro-test station 4, and the correction command is generated through big data collection analysis and precision calculation. In other words, the cloud processing platform 5 first distinguishes the standard stations 60 in a certain area of a certain city from the respective area ranges, and then collects the collected standard information and the micro-tests in each area. The information and the air pollution positioning information are calculated by a big data analysis and a calculation method such as a linear regression method or other algorithms to calculate a fairness correction instruction. In this embodiment, the cloud processing platform 5 updates the production every other correction time. A corresponding correction command is generated, and in the step (D), the cloud processing platform 5 transmits the correction command to the control module 222 of the analysis unit 22 and the air pollution micro-test station 4 every other correction time. In this embodiment, the correction time is one week, but not limited thereto. Alternatively, the collection time may be one season or the actual correction may be shortened to one day.

參閱圖1與圖3,本發明空氣品質監控方法之第二實施例,大致與該空氣品質監控方法之第一實施例相同,不同的地方在於:該步驟(C2)具有一步驟(C21)、(C22),及一步驟(C23)。 Referring to FIG. 1 and FIG. 3, the second embodiment of the air quality monitoring method of the present invention is substantially the same as the first embodiment of the air quality monitoring method, and the difference is that the step (C2) has a step (C21), (C22), and one step (C23).

於該步驟(C21)中,該雲端處理平台5分析比對所述空污定位資訊所對應之地點的微測資訊,是以該行駛裝置之車體11行經每一空污微測站4且該車體11與每一空污微測站4的距離在一校正範圍內時,該定位裝置3所整合出對應之空污定位資訊,且雲端處理平台5將每一空污微測站4之微測資訊與對應之校正範圍內的空污定位資訊進行分析比對。於本實施例中,該校正範圍是以每一空污微測站4為圓心且半徑為200公尺所圍繞出的範圍,但不以此為限,該雲端處理平台5在大數據分析運算時,將該車體11行駛經過所述空污微測站4且在該校正範圍內之空污定位資訊與對應之微測資訊進行分析比對。 In the step (C21), the cloud processing platform 5 analyzes the micro-test information corresponding to the location corresponding to the air pollution positioning information, so that the vehicle body 11 of the traveling device travels through each of the air pollution micro-test stations 4 and When the distance between the vehicle body 11 and each of the air pollution micro-test stations 4 is within a correction range, the positioning device 3 integrates the corresponding air pollution positioning information, and the cloud processing platform 5 micro-tests each air pollution micro-station 4 The information is compared with the air pollution location information within the corresponding calibration range. In this embodiment, the correction range is a range surrounded by each air pollution micro-station 4 and having a radius of 200 meters, but not limited thereto, the cloud processing platform 5 is in the big data analysis operation. The vehicle body 11 travels through the air pollution micro-test station 4 and the air pollution localization information in the calibration range is compared with the corresponding micro-test information.

於該步驟(C22)中,該雲端處理平台5分析比對所述空污定位資訊所對應之地點的標準資訊,是以該車體11行經每一標準測站60且該車體11與每一標準測站60的距離在一比對範圍內時,且該雲端處理平台5將每一標準 測站60之標準資訊與對應之比對範圍內的空污定位資訊進行分析比對。於本實施例中,由於所述標準測站60設置密度低且設置地點通常較偏僻,但不以此為限,據此該比對範圍是以每一標準測站60為圓心且半徑為500公尺所圍繞出的範圍,該雲端處理平台5在大數據分析運算時,將該車體11行駛經過所述標準測站60且在該比對範圍內之空污定位資訊與對應之標準資訊進行分析比對。 In the step (C22), the cloud processing platform 5 analyzes the standard information of the location corresponding to the air pollution positioning information, so that the vehicle body 11 travels through each standard station 60 and the vehicle body 11 and each When the distance of a standard station 60 is within a range of comparison, and the cloud processing platform 5 will each standard The standard information of the station 60 is compared with the corresponding air pollution location information within the corresponding comparison range. In this embodiment, since the standard station 60 has a low density and the installation location is generally remote, but not limited thereto, the comparison range is based on each standard station 60 and has a radius of 500. The range surrounded by the meter, the cloud processing platform 5 drives the vehicle body 11 through the standard station 60 during the big data analysis operation, and the air pollution positioning information and the corresponding standard information in the comparison range Analyze the comparison.

於該步驟(C23)中,該雲端處理平台5依該步驟(C21)與該(C22)之分析結果配合內建之演算法運算產生該校正指令。 In the step (C23), the cloud processing platform 5 generates the correction instruction according to the analysis result of the step (C21) and the (C22) with a built-in algorithm.

綜上所述,本發明空氣品質監控系統及其方法,藉由該檢測裝置2設置於該車體11內之設計,能於該車體11行駛過程,該定位裝置3配合該控制模組222而產生對應空污定位資訊,而供該雲端處理平台5經過分析運算處理而產生該校正指令,而能校正所述空污定位資訊與所述微測資訊,以確保其準確性及公正性,故確實能達成本發明之目的。 In summary, the air quality monitoring system and the method thereof are designed in the vehicle body 11 by the detecting device 2, and the positioning device 3 cooperates with the control module 222 during the driving process of the vehicle body 11. And generating the corresponding air pollution positioning information, and the cloud processing platform 5 generates the correction instruction through the analysis operation processing, and can correct the air pollution positioning information and the micro measurement information to ensure accuracy and fairness thereof. Therefore, the object of the present invention can be achieved.

惟以上所述者,僅為本發明之較佳實施例而已,當不能以此限定本發明實施之範圍,即大凡依本發明申請專利範圍及專利說明書內容所作之簡單的等效變化與修飾,皆仍屬本發明專利涵蓋之範圍內。 The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, that is, the simple equivalent changes and modifications made by the patent application scope and patent specification content of the present invention, All remain within the scope of the invention patent.

Claims (15)

一種空氣品質監控系統,應用於一行動載具上,該行動載具包含一車體,該空氣品質監控系統包含:一設置於該車體內之檢測裝置,包括一採樣單元,及一連通該採樣單元之分析單元,該採樣單元具有一穿設該車體之採樣管,及一開設於該採樣管上且可供外界空氣污染源進入該採樣管之採樣口,該分析單元具有一連通該採樣管之檢測模組,及一連結該檢測模組的控制模組,該檢測模組用以監測分析外界空氣污染源且產生對應於該車體行駛之不同地理位置的檢測資訊,該控制模組接收儲存該檢測模組之所述檢測資訊;一設置於該車體內且連結該分析單元之控制模組的定位裝置,該定位裝置記錄該車體之地理資訊且接收該控制模組所接收到之檢測資訊,並將所述地理資訊分別與對應之地理位置的檢測資訊整合成對應之空污定位資訊;多個設置於不同地點之空污微測站,所述空污微測站分別用以監測對應之地點的汙染源而產生對應之微測資訊;及一雲端處理平台,網路連線取得一環保單位公布有關各地空氣污染源的標準資訊且接收該定位裝置之空污定位資訊與所述空污微測站的微測資訊,並將所述之空污定位資訊與所述空污微測站的微測資訊配合對應之地點的標準資訊經過分析運算產生一校正指令,該雲 端處理平台傳送該校正指令經該定位裝置至該分析單元之控制模組,於該車體行駛過程,該控制模組執行該校正指令且即時校正該檢測模組的檢測資訊而產生校正後對應的檢測資訊,並傳至該定位裝置整合成對應之空污定位資訊,該雲端處理平台傳送該校正指令至所述空污微測站,所述空污微測站分別執行該校正指令且校正所監測之空氣污染源的微測資訊而產生校正後對應的微測資訊。 An air quality monitoring system is applied to a mobile vehicle, the mobile vehicle includes a vehicle body, and the air quality monitoring system includes: a detecting device disposed in the vehicle body, including a sampling unit, and a connected sampling unit An analysis unit of the unit, the sampling unit has a sampling tube through which the vehicle body is disposed, and a sampling port opened on the sampling tube and accessible to an outside air pollution source, and the analysis unit has a sampling tube connected to the sampling tube a detection module, and a control module connected to the detection module, the detection module is configured to monitor and analyze external air pollution sources and generate detection information corresponding to different geographic locations of the vehicle body, and the control module receives and stores The detection information of the detection module; a positioning device disposed in the vehicle body and connected to the control module of the analysis unit, the positioning device records the geographic information of the vehicle body and receives the detection received by the control module Information, and integrating the geographic information with the corresponding geographic location detection information into corresponding air pollution location information; multiple settings in different places The air pollution micro-test station, which is used to monitor the pollution source of the corresponding location to generate corresponding micro-test information; and a cloud processing platform, the network connection obtains an environmental protection unit to announce the relevant air pollution sources And receiving the air pollution localization information of the positioning device and the micrometric information of the air pollution micrometric station, and matching the air pollution localization information with the micrometric information of the air pollution micrometric station The standard information of the location is analyzed to generate a correction command, the cloud The end processing platform transmits the correction command to the control module of the analysis unit via the positioning device. During the driving process of the vehicle body, the control module executes the correction command and instantly corrects the detection information of the detection module to generate a corrected corresponding The detection information is transmitted to the positioning device and integrated into the corresponding air pollution positioning information, and the cloud processing platform transmits the correction instruction to the air pollution micro-test station, and the air pollution micro-test station respectively executes the correction instruction and corrects The micro-test information of the monitored air pollution source is generated to generate the corresponding micro-test information. 如請求項1所述的空氣品質監控系統,該環保單位包含多個設置於不同地點之標準測站,所述標準測站分別用以監測對應之地點的空氣污染源而產生對應之標準資訊,該雲端處理平台將所述之空污定位資訊配合對應之地點的微測資訊與對應之地點的標準資訊經過分析運算而產生該校正指令。 The air quality monitoring system of claim 1, wherein the environmental protection unit comprises a plurality of standard stations disposed at different locations, wherein the standard stations are respectively used to monitor air pollution sources of corresponding locations to generate corresponding standard information, The cloud processing platform generates the correction instruction by analyzing and calculating the air pollution positioning information and the micro-test information of the corresponding location and the standard information of the corresponding location. 如請求項1所述的空氣品質監控系統,其中,該分析單元之檢測模組所量測外界空氣污染源是以類比量之數據形式呈現且經過該檢測模組之內建的一轉換關係式運算轉換後而產生對應之檢測資訊,該轉換關係式具有一第一基準值、一第二基準值、一第三基準值、一第一轉換係數、一第二轉換係數,及一第三轉換係數,當所量測之類比量在該第一基準值以下,所對應之檢測資訊等於該類比量除以該第一基準值後再乘以該第一轉換係數,當所量測之類比量大於該第一基準值且在該第二基準值以下,所對應之檢測資訊等於該類比量除以該第 二基準值與該第一基準值的差值後,再乘以該第二轉換係數,當所量測之類比量大於該第二基準值且在該第三基準值以下,所對應之檢測資訊等於該類比量除以該第三基準值與該第二基準值的差值後,再乘以該第三轉換係數。 The air quality monitoring system of claim 1, wherein the detection unit of the analysis unit measures the external air pollution source in the form of analog data and performs a conversion relationship operation built in the detection module. Corresponding detection information is generated after the conversion, the conversion relationship has a first reference value, a second reference value, a third reference value, a first conversion coefficient, a second conversion coefficient, and a third conversion coefficient. And when the measured analog quantity is below the first reference value, the corresponding detection information is equal to the analog quantity divided by the first reference value, and then multiplied by the first conversion coefficient, when the measured analog quantity is greater than The first reference value is below the second reference value, and the corresponding detection information is equal to the analog quantity divided by the first After the difference between the second reference value and the first reference value, multiplying the second conversion coefficient, when the measured analog quantity is greater than the second reference value and below the third reference value, the corresponding detection information Equal to the analog quantity divided by the difference between the third reference value and the second reference value, and then multiplied by the third conversion coefficient. 如請求項1所述的空氣品質監控系統,其中,該檢測裝置還包括一連通該分析單元收集單元,該收集單元具有一抽氣幫浦,利用該抽氣幫浦將空氣污染源吸入該採樣單元之採樣管而進入該分析單元且由該檢測模組分析檢測後,並將檢測後的污染源抽入該收集單元。 The air quality monitoring system of claim 1, wherein the detecting device further comprises a collecting unit connected to the analyzing unit, the collecting unit having a pumping pump, and the air pumping source is sucked into the sampling unit by using the pumping pump After the sampling tube enters the analysis unit and is analyzed and detected by the detection module, the detected pollution source is drawn into the collection unit. 如請求項1所述的空氣品質監控系統,其中,該雲端處理平台收集所述空污定位資訊與所述微測資訊且累積一收集時間,並將所述空污定位資訊分別與對應之地點的微測資訊及對應之地點的標準資訊進行分析比對與運算而產生該校正指令,該收集時間為一季,該雲端處理平台會每隔一校正時間更新產生出對應之校正指令,該校正時間為一週。 The air quality monitoring system of claim 1, wherein the cloud processing platform collects the air pollution location information and the micro-test information and accumulates a collection time, and respectively selects the air pollution location information and the corresponding location The micro-test information and the standard information of the corresponding location are analyzed and compared to generate the correction command. The collection time is one season, and the cloud processing platform updates the correction command every other correction time to generate a corresponding correction command. For a week. 如請求項1所述的空氣品質監控系統,該行動載具還包含一設置於該車體內且連結該定位裝置的顯示單元,其中,該定位裝置接收該控制模組校正後之檢測資訊,且即時將對應之地理資訊與對應之檢測資訊整合成對應之空污定位資訊,並傳送至該顯示單元顯示。 The air quality monitoring system of claim 1, wherein the mobile device further comprises a display unit disposed in the vehicle body and coupled to the positioning device, wherein the positioning device receives the corrected detection information of the control module, and The corresponding geographic information and the corresponding detection information are integrated into the corresponding air pollution positioning information, and transmitted to the display unit for display. 如請求項1所述的空氣品質監控系統,該檢測裝置之採樣單元還具有一設置於該採樣管上且遮覆該採樣口之 濾網。 The air quality monitoring system of claim 1, wherein the sampling unit of the detecting device further has a sampling tube disposed on the sampling tube and covering the sampling port Filter. 一種空氣品質監控方法,應用於一配合於一行動載具之空氣品質監控系統,該行動載具包含一車體,該空氣品質監控系統包含一檢測裝置、一定位裝置、多個空污微測站,及一雲端處理平台,該檢測裝置包括一採樣單元,及一分析單元,該採樣單元具有一穿設該車體之採樣管,及一開設於該採樣管上且可供外界空氣污染源進入該採樣管之採樣口,該分析單元具有一檢測模組,及一連結該檢測模組的控制模組,該空氣品質監控方法包含以下步驟:(A)該車體行駛過程中,外界空氣污染源由該採樣單元之採樣管進入該分析單元且由該檢測模組分析檢測,該檢測模組產生對應於該車體行駛之地理位置的檢測資訊,該控制模組接收與儲存該檢測模組之所述檢測資訊;(B)該定位裝置記錄該車體之地理資訊且接收該控制模組所接收到之所述檢測資訊,並將所述地理資訊分別與對應之地理位置的檢測資訊整合成對應之空污定位資訊而傳至該雲端處理平台,所述空污微測站分別將對應之監測地的微測資訊傳至該雲端處理平台;(C)該雲端處理平台網路連線取得一環保單位公布有關各地空氣污染源的標準資訊,且將所述之空污定位資訊與所述空污微測站的微測資訊配合 對應之地點的標準資訊經過分析運算產生一校正指令;及(D)該雲端處理平台傳送該校正指令經該定位裝置至該分析單元之控制模組,而該控制模組執行該校正指令且於該車體行駛過程即時校正該檢測模組的檢測資訊而產生校正後對應的檢測資訊,且該雲端處理平台傳送該校正指令至所述空污微測站,所述空污微測站執行該校正指令且校正所監測之空氣污染源的微測資訊而產生校正後對應的微測資訊。 An air quality monitoring method is applied to an air quality monitoring system coupled to a mobile vehicle, the mobile vehicle includes a vehicle body, the air quality monitoring system includes a detecting device, a positioning device, and a plurality of air pollution micro-tests And a cloud processing platform, the detecting device comprises a sampling unit, and an analyzing unit, the sampling unit has a sampling tube through which the vehicle body is disposed, and a sampling tube is opened on the sampling tube and is accessible to an external air pollution source. The sampling port of the sampling tube has a detecting module and a control module connected to the detecting module. The air quality monitoring method comprises the following steps: (A) an external air pollution source during the driving of the vehicle body The detection unit of the sampling unit enters the analysis unit and is analyzed and detected by the detection module. The detection module generates detection information corresponding to the geographical position of the vehicle body, and the control module receives and stores the detection module. The detecting information; (B) the positioning device records the geographic information of the vehicle body and receives the detection information received by the control module, and the ground information The information is respectively integrated with the corresponding geographic location detection information into corresponding cloud pollution location information and transmitted to the cloud processing platform, and the air pollution micro-test station respectively transmits the micro-test information of the corresponding monitoring location to the cloud processing platform; (C) The cloud processing platform network connection obtains an environmental protection unit to publish standard information about air pollution sources in various places, and cooperates with the air pollution positioning information and the micro-test information of the air pollution micro-test station. The standard information of the corresponding location is subjected to an analysis operation to generate a correction command; and (D) the cloud processing platform transmits the correction command to the control module of the analysis unit via the positioning device, and the control module executes the correction command and The vehicle body immediately corrects the detection information of the detection module to generate the corrected detection information, and the cloud processing platform transmits the correction instruction to the air pollution micro-test station, and the air pollution micro-test station executes the Correcting the command and correcting the micro-test information of the monitored air pollution source to generate the corrected micro-test information. 如請求項8所述的空氣品質監控方法,其中,該步驟(C)包括(C1)該雲端處理平台網路連線取得一環保單位公布有關各地空氣品質的標準資訊,且收集所述空污定位資訊與所述微測資訊並累積一收集時間,(C2)將所述空污定位資訊分別與對應之地點的微測資訊及對應之地點的標準資訊進行分析比對與運算而產生該校正指令。 The air quality monitoring method according to claim 8, wherein the step (C) comprises: (C1) the cloud processing platform network connection obtaining an environmental protection unit to publish standard information about air quality of each place, and collecting the air pollution Locating the information and the micro-test information and accumulating a collection time, and (C2) analyzing and comparing the air pollution localization information with the micro-test information of the corresponding location and the standard information of the corresponding location to generate the correction instruction. 如請求項9所述的空氣品質監控方法,其中,於該步驟(C2)中,該雲端處理平台會每隔一校正時間更新產生出對應之校正指令,且於該步驟(D)中,該雲端處理平台每隔該校正時間會傳送該校正指令至該分析單元之控制模組與所述空污微測站。 The air quality monitoring method according to claim 9, wherein in the step (C2), the cloud processing platform generates a corresponding correction instruction every other correction time update, and in the step (D), the The cloud processing platform transmits the correction command to the control module of the analysis unit and the air pollution micro-test station every other correction time. 如請求項10所述的空氣品質監控方法,其中,於該步 驟(C1)中,該收集時間為一季,於該步驟(D)中,該校正時間為一週。 The air quality monitoring method according to claim 10, wherein the step is In the step (C1), the collection time is one season, and in the step (D), the correction time is one week. 如請求項9所述的空氣品質監控方法,該環保單位包含多個設置於不同地點之標準測站,所述標準測站分別用以監測對應之地點的空氣污染源而產生對應之標準資訊,其中,該步驟(C2)具有(C21)該雲端處理平台分析比對所述空污定位資訊與所對應之地點的微測資訊,是以該行駛裝置之車體行經每一空污微測站且該車體與每一空污微測站的距離在一校正範圍內時,該定位裝置所整合出所述對應之空污定位資訊,且該雲端處理平台將每一空污微測站之微測資訊與對應之校正範圍內的空污定位資訊進行分析比對,(C22)該雲端處理平台分析比對所述空污定位資訊與所對應地點之標準資訊,是以該車體行經每一標準測站且該車體與每一標準測站的距離在一比對範圍內時,該定位裝置所整合出所述對應之空污定位資訊,且該雲端處理平台將每一標準測站之標準資訊與對應之比對範圍內的空污定位資訊進行分析比對,(C23)該雲端處理平台依該步驟(C21)與該(C22)之分析結果配合內建之演算法運算產生該校正指令。 The air quality monitoring method according to claim 9, wherein the environmental protection unit comprises a plurality of standard stations arranged at different locations, wherein the standard stations are respectively used to monitor the air pollution source of the corresponding location to generate corresponding standard information, wherein The step (C2) has (C21) analyzing, by the cloud processing platform, the micro-test information of the air pollution positioning information and the corresponding location, wherein the vehicle body of the traveling device passes through each air pollution micro-test station and the When the distance between the vehicle body and each of the air pollution micro-test stations is within a correction range, the positioning device integrates the corresponding air pollution positioning information, and the cloud processing platform compares the micro-test information of each air pollution micro-station with Corresponding to the comparison of the air pollution positioning information in the calibration range, (C22) the cloud processing platform analyzes the air pollution positioning information and the standard information of the corresponding location, so that the vehicle body passes each standard station And when the distance between the vehicle body and each standard station is within a comparison range, the positioning device integrates the corresponding air pollution positioning information, and the cloud processing platform will standard information of each standard station. Air pollution available location within a range corresponding to the ratio of the analyzed comparison, (C23) the internet cloud according to the process step (C21) and the (C22) of the analysis result of the algorithm operation with built-in command generating correction. 如請求項12所述的空氣品質監控方法,其中,於該步驟(C21)中,該校正範圍是以每一空污微測站為圓心且半徑為200公尺所圍繞出的範圍,於該步驟(C22)中,該比對範圍是以每一標準測站為圓心且半徑為500公尺所圍繞出的範圍。 The air quality monitoring method according to claim 12, wherein in the step (C21), the correction range is a range surrounded by each air pollution micro-station and having a radius of 200 meters, in this step. In (C22), the comparison range is a range surrounded by a standard station and having a radius of 500 meters. 如請求項10所述的空氣品質監控方法,其中,於該步驟(B)中,該定位裝置是每隔一預設時間將對應之空污定位資訊傳至雲端處理平台。 The air quality monitoring method according to claim 10, wherein in the step (B), the positioning device transmits the corresponding air pollution positioning information to the cloud processing platform every predetermined time. 如請求項8所述的空氣品質監控方法,其中,於該步驟(A)中,該檢測模組所產生的檢測資訊,是由該檢測模組所量測外界空氣污染源而以類比量之數據形式呈現且經過該檢測模組之內建的一轉換關係式運算轉換後而產生對應之檢測資訊,該轉換關係式具有一第一基準值、一第二基準值、一第三基準值、一第一轉換係數、一第二轉換係數,及一第三轉換係數,當所量測之類比量在該第一基準值以下,所對應之檢測資訊等於該類比量除以該第一基準值後再乘以該第一轉換係數,當所量測之類比量大於該第一基準值且在該第二基準值以下,所對應之檢測資訊等於該類比量除以該第二基準值與該第一基準值的差值後再乘以該第二轉換係數,當所量測之類比量大於該第二基準值且在該第三基準值以下,所對應之檢測資訊等於該類比量除以該第三基準值與該第二基準值的差值後再乘以該第三轉換係數。 The air quality monitoring method according to claim 8, wherein in the step (A), the detection information generated by the detection module is an analogous amount of data measured by the detection module by an external air pollution source. The form is presented and converted by a conversion relationship operation built in the detection module to generate corresponding detection information, the conversion relationship having a first reference value, a second reference value, a third reference value, and a a first conversion coefficient, a second conversion coefficient, and a third conversion coefficient. When the measured analog quantity is below the first reference value, the corresponding detection information is equal to the analog quantity divided by the first reference value. Multiplying the first conversion coefficient, and when the measured analog quantity is greater than the first reference value and below the second reference value, the corresponding detection information is equal to the analog quantity divided by the second reference value and the first a difference between a reference value and then multiplied by the second conversion coefficient. When the measured analog quantity is greater than the second reference value and below the third reference value, the corresponding detection information is equal to the analog quantity divided by the Third reference value and the second The difference between the reference values is then multiplied by the third conversion factor.
TW105134946A 2016-10-28 2016-10-28 Air quality monitoring system and method thereof TWI619929B (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI662422B (en) * 2018-04-23 2019-06-11 National Chung-Shan Institute Of Science And Technology Air quality prediction method based on machine learning model
TWI667572B (en) * 2018-08-09 2019-08-01 崑山科技大學 Regulating air quality micro-monitoring method

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI770832B (en) * 2021-02-23 2022-07-11 卡米爾股份有限公司 Dynamic visual display system for air quality data analysis of Internet of Vehicles

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1741652A (en) * 2004-08-23 2006-03-01 英华达股份有限公司 Mobile communication device with air detection function
CN204788493U (en) * 2015-07-21 2015-11-18 邓昊晴 Portable air quality real -time supervision and publishing system
CN204789250U (en) * 2015-07-17 2015-11-18 北京市环境保护科学研究院 Traffic environment atmosphere pollution spatial distribution real -time monitoring system
CN204881694U (en) * 2015-07-28 2015-12-16 天津隆迈环能科技发展有限公司 Ambient air quality monitoring appearance
CN103969701B (en) * 2013-01-31 2016-09-28 上海飞田通信技术有限公司 City region-wide air quality real-time monitoring system and method
TWM538593U (en) * 2016-10-28 2017-03-21 Mitac Int Corp Air quality monitoring system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1741652A (en) * 2004-08-23 2006-03-01 英华达股份有限公司 Mobile communication device with air detection function
CN103969701B (en) * 2013-01-31 2016-09-28 上海飞田通信技术有限公司 City region-wide air quality real-time monitoring system and method
CN204789250U (en) * 2015-07-17 2015-11-18 北京市环境保护科学研究院 Traffic environment atmosphere pollution spatial distribution real -time monitoring system
CN204788493U (en) * 2015-07-21 2015-11-18 邓昊晴 Portable air quality real -time supervision and publishing system
CN204881694U (en) * 2015-07-28 2015-12-16 天津隆迈环能科技发展有限公司 Ambient air quality monitoring appearance
TWM538593U (en) * 2016-10-28 2017-03-21 Mitac Int Corp Air quality monitoring system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI662422B (en) * 2018-04-23 2019-06-11 National Chung-Shan Institute Of Science And Technology Air quality prediction method based on machine learning model
TWI667572B (en) * 2018-08-09 2019-08-01 崑山科技大學 Regulating air quality micro-monitoring method

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