Wearable intelligent monitoring system based on Beidou positioning and physiological status monitoring

Abstract

The invention discloses a wearable intelligent monitoring system based on Beidou positioning and physiological status monitoring, and belongs to the field of real-time physiological information monitoring. The system mainly comprises a physiological status monitoring and Beidou monitoring module, a data processing module, a wireless communication module, a physiological information network query module and an intelligent mobile phone terminal module. The physiological status monitoring and Beidou monitoring module is used for collecting physiological information and position information of a vulnerable group in real time; the data processing module is used for performing filtering and abnormality recognition on physiological status signals through a moving average filtering algorithm and an amplitude limiting algorithm; the wireless communication module is used for storing processed data in a server; the physiological information network query module is used for querying the physiological information and the position information of the vulnerable group through a network access server; the intelligent mobile phone terminal module is used for querying monitoring data through third-party application software (App) and learning about the relevant information of the vulnerable group. The system aims to monitor the physiological information and the position information of the vulnerable group in real time and has application and popularization value.

Description

technical field [0001] The invention discloses a wearable intelligent monitoring system based on Beidou positioning and physiological state monitoring, which relates to the fields of physiological state monitoring and Beidou positioning, data processing, wireless communication, physiological information network query, and smart phone terminals, and belongs to the informationization of real-time physiological information monitoring field. Background technique [0002] In recent years, as vulnerable groups, especially children and the elderly living alone, need special care, and the society is facing problems such as aging and high employment pressure, it has caused serious serious problems such as children getting lost, the elderly getting lost, and the death of the elderly at home. social problems, but the current equipment often has a single function, which cannot meet the real-time monitoring of vulnerable groups, and its shortcomings are becoming more and more obvious. ...

AI Technical Summary

Problems solved by technology

[0002] In recent years, as vulnerable groups, especially children and the elderly living alone, need special care, and the society is facing problems such as aging and high employment pressure, it has caused serious serious problems such as children getting lost, the elderly getting lost, and the death of the elderly at home. social problems, but the current equipment often has a single function, which cannot meet the real-time monitoring of vulnerable groups, and its shortcomings are becoming more and more obvious

[0003] In the prior art, civilian GPS positioning technology can achieve accurate positioning with a certain accuracy, and the position error is about 10 meters. If it encounters foggy weather, the accuracy error will reach about 100 meters; for pulse sensors and body temperature sensors , these two sensors can realize the measurement of pulse and body temperature, but these two sensors cannot realize real-time monitoring, but will only be used when they feel unwell, and they do not have real-time performance

[0004] In addition, sensor detection and GPS positioning technology can only measure the physiological state and location information of the user, but cannot store and analyze the measurement data, and the emergence of the Internet has solved this problem

At the same time, as a powerful portable device, the smart phone can monitor and query the physiological information and location information of vulnerable groups in real time, and the software that can alarm the abnormal information has not been applied to the monitoring system.

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