Early warning system for home emergency based on Internet of Things

Abstract

The early warning system comprises a scheme matching library, a machine learning updating library and a historical data storage library, and the early warning system is connected to a cloud platform, so that according to different signal sources and scene categories, the early warning system can be used for early warning of home emergencies. The method comprises the steps of generating system early warning standards of different units with a pre-judgment learning function, and further comprises the steps of presetting safety thresholds ax for different scenes, generating a danger early warning model when a monitoring environment signal received by a cloud platform is larger than ax, predicting a parameter value of a next time period by the danger early warning model, and comparing the parameter value with an actual parameter value in the next time period, compared with the prior art adopting smoke alarm or temperature alarm, the technical scheme provided by the invention utilizes regional or independent signal sources for monitoring, realizes unit type system early warning, and collects real-time information at the same time.

Description

technical field [0001] The invention belongs to the field of smart home, in particular to an early warning system for home emergencies based on the Internet of Things. Background technique [0002] With the continuous improvement of living standards, with the advancement of technology and the improvement of people's living standards, the use of household appliances has become more and more common. At the same time, people urgently need efficient family life management. As a result, people put forward higher requirements for the intelligence, safety and convenience of modern home systems. [0003] The types and functions of various electrical appliances are increasingly complex, the power consumption is huge, and short-circuits and overloads are prone to occur, thereby causing accidents such as fire and electric shock. It is difficult to monitor and feed back data such as frequency, line failure, equipment failure, and fire in real time, which has caused serious threats and ...

AI Technical Summary

Problems solved by technology

[0003] The types and functions of various electrical appliances are becoming more and more complex, the power consumption is huge, and short circuits and overloads are prone to occur, which can cause fires, electric shocks and other accidents. And frequency, line failure, equipment failure, fire and other data are difficult to monitor and feed back in real time, which has caused serious threats and losses to users' lives, lives, and property, and cannot eliminate potential safety hazards in time

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