A monitoring method and system for a person consciousness loss monitoring recognizer

Abstract

The invention discloses a monitoring method for a person consciousness loss monitoring recognizer. The method includes the following steps: receiving acceleration data information detected by an acceleration sensor; determining whether the acceleration data information exceeds the preset threshold, and if the acceleration data information exceeds the preset threshold, determining that the state isabnormal; if the acceleration data information does not exceed the preset threshold, determining that the state is normal, wherein the preset threshold is more than or equal to 9.8 m / s; receiving vibration data information detected by a vibration sensor; determining whether there is output of vibration data information; if there is there is output of vibration data information, determining that aperson does not lose consciousness; if there is not output of vibration data information, determining that a person loses consciousness. The invention also discloses a monitoring system for a personconsciousness loss monitoring recognizer. The system includes an acceleration data determination module and a vibration data determination module. The gravitational acceleration and vibration are utilized to collect real-time data, whether a person falls down or loses consciousness is determined by a device embedded algorithm module, the monitoring mode is simple and direct, the determination canbe performed rapidly and accurately, the wrong judgment is avoided, and the monitoring efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of monitoring, in particular to a monitoring method and a system for a monitoring recognizer for loss of consciousness of personnel. Background technique [0002] Traditional personnel loss of consciousness monitoring identifiers are troublesome to wear and complex in signal transmission. Usually, it is necessary to receive, detect, and judge data information such as human body temperature and heart rate. Due to the need to read a lot of data, it causes reading errors and time delays. Waste; and because of the cross judgment between too many data, it is easy to cause judgment error. For example, the person has fallen to the ground and is in shock, but the body temperature is normal. After the monitoring recognizer reads the normal body temperature data, it is easy to misjudge that the person is on the ground There is also a state of consciousness, which leads to false alarm reminders; the more data monitored...

AI Technical Summary

Problems solved by technology

[0002] Traditional personnel loss of consciousness monitoring identifiers are troublesome to wear and complex in signal transmission. Usually, it is necessary to receive, detect, and judge data information such as human body temperature and heart rate. Due to the need to read a lot of data, it causes reading errors and time delays. Waste; and because of the cross judgment between too many data, it is easy to cause judgment error. For example, the person has fallen to the ground and is in shock, but the body temperature is normal. After the monitoring recognizer reads the normal body temperature data, it is easy to misjudge that the person is on the ground There is also a state of consciousness, which leads to false alarm reminders; the more data monitored, the easier it is to cause judgment errors. The traditional personnel loss of consciousness monitoring and recognition device judges the internal functions of the personnel, such as heart rate, blood pressure, etc. Instead of judging from physical results, it not only increases the difficulty of judgment, but also reduces the accuracy of judgment. Because after the person loses consciousness, the changes in blood pressure, heart rate and other body functions are different, so the judgment results are also different, which may easily lead to misjudgment.

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