CN105816160A - Old-people monitoring bracelet based on large data - Google Patents

Abstract

An elderly monitoring bracelet based on big data, including a user module, a communication module, a core processor module, a sensor acquisition module, and a big data center. The core processor module converts and calculates the physiological data of the sensor acquisition module; the big data center interacts with the bracelet through real-time GPRS, and performs real-time real-time information on the location information obtained by the user module and the physiological information received from the communication module. Storage, analysis and comparison processing. In order to dig out the dangerous information that may be hidden in it. The present invention is an elderly monitoring bracelet based on big data, which can monitor the physiological information and location information of the elderly in real time. Once a dangerous situation is found, it can make a corresponding intelligent response and remind relevant personnel to take countermeasures.

Description

An Elderly Monitoring Bracelet Based on Big Data

technical field

The invention belongs to the field of Internet of Things health technology, relates to the field of wearable devices, and in particular to a monitoring bracelet for the elderly based on big data.

Background technique

With the development and progress of the Internet of Things and mobile Internet technology, as well as the introduction of high-performance and low-power processing chips, some wearable devices have moved from conceptualization to commercialization, and new wearable devices are constantly coming out, such as: iwatch. Wearable technology can obtain users' physiological data in real time and provide users with health protection. It is usually used in two major fields, one is the outdoor field of sports and fitness, and the other is the field of medical care. The former are mainly sports brands and sports wear products, while the latter are mainly medical portable equipment manufacturers providing professional solutions, including the detection and processing of medical signs such as blood pressure and heart rate. In recent years, wearable devices have come in a variety of forms, including medical vests, belts, and implanted chips.

With the increasing socialization and mobility of the population, and China's gradual aging society, coupled with the increasing work pressure of young people, there are often no one around the elderly who can accompany them 24 hours a day, and there are many empty-nest elderly people . In this case, if an accident occurs to the elderly, such as a fall, sudden heart attack or cerebral hemorrhage, their relatives often cannot be notified in time, which is likely to cause serious consequences. In addition, young people work overtime, sudden death caused by sports, food poisoning and other incidents are also discovered from time to time, and the age of onset of cancer is also showing a trend of younger age, but the victims themselves and their relatives are often not informed in time. At present, the application of wearable technology in medicine has always attracted attention, but because the elderly often suffer from multiple diseases, the existing solutions often have single functions and large measurement errors when detecting the health of the elderly, and simply improving the equipment for detection is often difficult. Due to the high cost and complex technology, many devices can only stay in the conceptual stage.

Various types of human body data can be collected and analyzed through big data technology, and possible dangers can be analyzed and predicted through data mining, so as to remind users and relatives to take timely measures to prevent danger from happening. Technology-integrated products.

Contents of the invention

In order to overcome the above technical problems, the present invention provides a big data-based monitoring bracelet for the elderly, which can monitor the physiological information and location information of the elderly in real time. Once a dangerous situation is found, it can make a corresponding intelligent response and remind relevant personnel to take countermeasures.

The technical scheme adopted in the present invention is:

An elderly monitoring bracelet based on big data, including a user module, a communication module, a core processor module, a sensor acquisition module, and a big data center. The core processor module converts and calculates the physiological data of the sensor acquisition module; the big data center interacts with the bracelet through real-time GPRS, and performs real-time real-time information on the location information obtained by the user module and the physiological information received from the communication module. Storage, analysis and comparison processing. In order to dig out the dangerous information that may be hidden in it.

The user module includes a mobile terminal and a GPS positioning module, and the mobile terminal can perform data communication with the wristband through the communication module.

letter. There is a touch screen on the mobile terminal for display and operation. The user module can be used by relevant users and relatives for remote

and local operations.

The communication module includes a Bluetooth 4.0 communication module and a ZigBee communication module. Communication module for core processor module

It is connected with the sensor acquisition module, and the data communication between the big data center, users and relatives.

The core processor module includes a CC2540 module and a GPRS module. The core processor module is used to collect the sensor

The physiological data acquired by the block is converted and calculated, and transmitted to the big data center through the communication module.

The sensor acquisition module includes a heart rate sensor, a pedometer sensor, a body temperature sensor, a blood pressure sensor, and a blood oxygen saturation sensor. The communication module adopts Bluetooth 4.0 communication module and ZigBee communication module.

The big data center includes a background database and a large medical database for analyzing medical and health big data, and the background database specifically adopts a SQLServer database.

Through the touch screen of the user module, real-time heart rate, step counting, body temperature, blood pressure and blood oxygen value data are displayed, and the background database is automatically backed up.

A monitoring method for the elderly based on big data, which establishes the health database and the usual exercise route database of the elderly, and passes

Comparison and analysis of big data technology, further excavation and assessment of the health risks of the elderly, and remind users and relatives

Notice.

And when it is judged through the analysis of the big data center that the elderly are in danger of unexpected pathology or emergency (morbidity, sudden fainting),

And send out an alarm, the mobile terminal of the user module can send an early warning message to the preset guardian (professional

people, friends, etc.), and automatically push the first aid measures to the display screen, for those who come to the side to give first aid, or provide recommended treatment

option in order to save the elderly under guardianship to the greatest extent;

Once the elderly go to the hospital for treatment, they can log in to the background to view the situation, helping doctors to quickly and accurately diagnose the condition; when the elderly get lost accidentally, the GPS positioning module can also be used to determine the location of the elderly.

The present invention is based on a big data monitoring bracelet for the elderly, and the beneficial effects are as follows:

First of all, it can integrate the health data and activity routes of the elderly in a certain area, dig out the hidden risks, and even find the error data of the bracelet, and provide alarms and services. With the help of the auxiliary calculation and reporting functions of the big data center, the measurement error of the bracelet can be reduced at a relatively low cost, and the value of the data can be mined.

Secondly, it can replace manual monitoring of the elderly for 24 hours. Remote users and relatives can monitor and display the physical and medical data of the elderly in real time; when the elderly is accidentally lost, they can accurately locate and search; , can send early warning text messages and push rescue measures to relatives in time.

In addition, when the elderly go to see a doctor, the doctor can use the historical data of the big data center to assist in making a quick and accurate diagnosis and provide a targeted treatment plan, which solves the problem that it is difficult to accurately judge the coexistence of multiple diseases in the elderly in the existing technology.

Description of drawings

Fig. 1 is a system block diagram of the elderly monitoring bracelet based on big data of the present invention.

Fig. 2 is an information interaction diagram of the elderly monitoring bracelet based on big data in the present invention.

Fig. 3 is a schematic diagram of the structural details of the elderly monitoring bracelet based on big data in the present invention.

Among them: 301—wristband, 302—shell, 303—touch screen, 304—communication module, 305—core processing module, 306—lithium battery, 307—heart rate sensor, 308—body temperature sensor, 309—pedometer sensor, 310—plug , 311—blood pressure sensor, 312—blood oxygen saturation sensor.

detailed description

As shown in Figure 1, a big data-based elderly monitoring bracelet includes a user module 101, a communication module 102, a core processing module 103, a sensor acquisition module 104, and a big data center 105 outside the bracelet.

The user module 101 includes a mobile terminal and a GPS positioning module installed therein.

The communication module 102 includes a Bluetooth 4.0 communication module or a ZigBee communication module.

The core processing module 103 includes a processor CC2540 module and a GPRS module for networking.

The sensor acquisition module 104 includes a heart rate sensor, a pedometer sensor, a body temperature sensor, a blood pressure sensor and a blood oxygen saturation sensor placed at the bottom of the wristband.

The big data center 105 includes medical big data and a background database that can be stored in real time. The big data center can establish the health database and daily exercise route database of the elderly, and through the comparison and analysis of big data technology, further excavate and evaluate the health risks of the elderly, and remind users and relatives to pay attention. Further, when it is judged through the analysis of the big data center that the elderly is in danger of unexpected pathology or emergency (morbidity, sudden fainting), and an alarm is issued, the mobile terminal of the user module can send an early warning message from the operator's background to the preset Guardians (relatives, friends, etc.), and automatically push rescue measures to the display screen for first aid for those who come to the side, or provide recommended disposal options to save the elderly under guardianship to the greatest extent.

As shown in Figure 2, it is an information interaction diagram of the elderly monitoring bracelet based on big data in the present invention.

The sensor acquisition module 204 is connected to the CC2540 module of the core processing module 203 through the communication module 202 to process and analyze data. The sensor collection module 204 is used to collect the relevant physiological and medical data of the user through the GPRS module of the core processing module 203 to be networked for the background database of the big data center 205 to store in real time. The user module 201 judges and generates various instructions after the comprehensive analysis and processing of the medical big data of the big data center 205, and performs risk warning and strategy recommendation.

The user module 201 is wirelessly connected to the CC2540 processor of the core processing module module 203 through the communication module 202, including Bluetooth 4.0 technology wireless connection, and ZigBee technology wireless connection. Preferably, Bluetooth 4.0 technology is a low-cost, more power-saving, low-latency, and fully backward-compatible wireless communication technology, which is mainly used in voice/data access, peripheral device interconnection, and personal area network. The bracelet can realize voice /Data access, connect the wristband to the core processing module 203 through a secure wireless link, and complete the interconnection with the wide area communication network.

Further, each module is closely connected to work through a wireless network. When the sensor acquisition module 204 collects corresponding analog data of heart rate, step counting, body temperature, blood pressure and blood oxygen saturation from the user, the core processing module The CC2540 microprocessor module in 203 performs data conversion, calculation and processing. After the CC2540 microprocessor module has processed the data, the data is transmitted to the user module 201 through the function of the communication module 202, and the historical data and reference data of the big data center 205 are compared and analyzed vertically and horizontally to find out that the elderly are in a pathological state Or critical state information, further, the mobile terminal of the user module 204 will automatically trigger an early warning message and push rescue measures.

When the old man gets lost unintentionally, the old man's position can be determined according to the GPS positioning module of the user module 201. Preferably, the background database of the big data center 205 adopts the SOLServer database, which is safer, more reliable and more stable. Further, the analog data collected by the sensor collection module 204 is packaged, compressed, and uploaded to the user module 201 through the Bluetooth 4.0 technology in the communication module 202 for reception. After comparative analysis and judgment of medical big data, if an abnormal problem is found, an early warning message will be sent to the guardian's mobile phone, and rescue measures will be pushed for relatives and doctors to provide first aid.

Further, these data are also backed up to the background database of the big data center 205, and when the elderly go to the hospital for treatment, they can access these medical physiological data to help doctors quickly and correctly diagnose.

As shown in Figure 3, it is a schematic diagram of the structural details of the elderly monitoring bracelet based on big data, including the bracelet main body 100 and the wristbands 301 on both sides, the casing 302, the touch screen 303, the communication module 304, the core processing module 305, and the lithium battery 306 , heart rate sensor 307 , body temperature sensor 308 , pedometer sensor 309 , plug 310 , blood pressure sensor 311 , and blood oxygen saturation sensor 312 .

The wristband of the present invention is worn on the user's wrist through the wristband 301 and the casing 302, and the information is checked through the touch screen 303. The entire wristband is light and thin in design, convenient and flexible, and full of fashion sense.

Moreover, the good combination of various sensors and devices in the present invention ensures the immediacy, stability, accuracy, and no distortion of data transmission. In addition, the elderly monitoring bracelet based on big data in the present invention is easy to operate, allowing large Part of the demand is accepted by users, which greatly improves the remote monitoring ability of the elderly's health and the accuracy of health judgment.

Claims (9)

1. old men based on big data guard bracelet, including line module (101), communication module (102), core processor module (103), sensor acquisition module (104), large data center (105), it is characterized in that, the physiological data of sensor acquisition module (104) is carried out conversion Calculation by core processor module (103)；It is mutual that large data center (105) carries out data message by real-time GPRS effect and this bracelet, and the positional information that obtained by line module (101) and receive that the physiologic information from communication module (102) carries out real-time storage, analyses and comparison process.

A kind of old man based on big data guards bracelet, it is characterised in that described line module (101) includes mobile terminal, GPS locating module, and mobile terminal can carry out data communication by communication module (102) and bracelet;

Line module (101) can be carried out remotely and local operation for associated user and relatives.

A kind of old man based on big data guards bracelet, it is characterised in that described communication module (102)

Including bluetooth 4.0 communication module, ZigBee communication module；Communication module (102) is connected with each other for core processor module (103) and sensor acquisition module (104), and the data communication between large data center (105), user and relatives.

A kind of old man based on big data guards bracelet, it is characterised in that described core processor module (103) includes CC2540 module, GPRS module；Core processor module (103) is for changing the physiological data acquired in sensor acquisition module (104) and calculate, and is sent to large data center (105) by communication module (102).

A kind of old man based on big data guards bracelet, it is characterised in that described sensor acquisition module (104) includes heart rate sensor, meter step sensor, body temperature trans, pressure transducer, oximetry sensor.

A kind of old man based on big data guards bracelet, it is characterized in that, described large data center (105) includes background data base, medical treatment large database concept, is used for carrying out the big data analysis of medical treatment & health, and background data base specifically uses SQLServer data base.

A kind of old man based on big data guards bracelet, it is characterised in that by the touch screen of line module (101), shows real-time heart rate, meter step, body temperature, blood pressure and blood oxygen levels data, and automated back-up background data base.

A kind of old man based on big data guards bracelet, it is characterised in that this bracelet is worn at the wrist of user by wrist strap (301) and shell (302), checks information by touch screen (303).

9. use any one old men based on big data as described in claim 1 ~ 8 to guard old man's monitoring method of bracelet, it is characterized in that, motion route database when setting up the Health database peace of old man, and by the comparison of big data technique, analysis, excavate further and assessment old man healthy on risk, and remind user and relatives to note；And after being analyzed by large data center, judge that old man is in unexpected pathology or the danger of the state of emergency, and send warning, the mobile terminal of line module (101) can be by sending early warning note to default guardian from operator backstage, and automatically push rescue measure to display screen, for coming people's first aid at one's side, or provide and recommend to dispose option, in order to save to greatest extent by monitoring old man；

Once remove hospital admission as old man, backstage can be logged in and check, help doctor quick and precisely to diagnose the state of an illness；When old man surprisingly wanders away, it is also possible to by GPS locating module, determine old man position.