Safety protection analysis alarm system and method based on artificial intelligence

Abstract

The invention provides a safety protection analysis alarm system and method based on artificial intelligence. The system comprises a safety monitoring module and a safety protection analysis processing module, and the safety monitoring module is used for collecting sensing data of various monitoring objects in a preset safety protection range and sending the sensing data to the safety protection analysis processing module; and the safety protection analysis processing module judges whether the received sensing data is in a corresponding normal monitoring range or not, and gives an alarm when the judgment result is negative. Effective acquisition of sensing data of various safety precautions is realized, and timely analysis and early warning of the sensing data are realized based on an artificial intelligence technology.

Description

technical field [0001] The invention relates to the field of security technology, in particular to an artificial intelligence-based security analysis and alarm system and method. Background technique [0002] Among the related technologies, security prevention is one of the earliest industries for the application of the Internet of Things in my country. The sensory collection of monitoring information, sensing technology, wireless transmission, intelligent analysis, and network technology all have the characteristics of Internet of Things applications. At present, application technologies including video, GPS, sensor sensing, etc. have been initially applied in the security protection industry, but most of them still stay in the development and application of a single function, such as a single video surveillance, a single temperature collection, Single smoke sensing, etc., the integration and comprehensiveness of system functions are low, and only a single variable of the s...

AI Technical Summary

Problems solved by technology

At present, application technologies including video, GPS, sensor sensing, etc. have been initially applied in the security protection industry, but most of them still stay in the development and application of a single function, such as a single video surveillance, a single temperature collection, Single smoke sensing, etc., the integration of system functions is low, and only a single variable of the surrounding environment can be monitored and analyzed

Moreover, timely and effective early warning cannot be carried out based on the collected security data.

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