Smoke and fire alarm processing method, system and terminal based on Internet of Things intelligent fire fighting

By using historical data to correct real-time smoke and fire alarm signals through the Internet of Things (IoT) smart fire protection system, identifying the fire alarm initiation point and monitoring the delay period, the system solves the problems of time lag and false alarms in traditional systems, and achieves accurate fire handling and system performance optimization.

CN122176885AActive Publication Date: 2026-06-09JIANGSU ZHONGYE FIRE PROTECTION TECHNOLOGY SERVICE CO LTD
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Patent Information

Application Number
CN202610356052.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-23
Publication Date
2026-06-09
Estimated Expiration
2046-03-23

AI Technical Summary

Technical Problem

Traditional automated smoke and fire alarm systems suffer from time lag, causing the spray position of the fire extinguishing device to not match the fire point. They cannot be accurately adjusted according to the real-time scale of the fire and the type of burning material, and the false alarm rate is high.

Method used

By using an IoT-based smart fire protection method, historical smoke and fire alarm datasets are used to form an alarm response time sequence, calculate the overall offset time, correct real-time signals and identify the starting point of fire alarm events, monitor alarm delay periods in real time, and output delay prompts to optimize system performance.

Benefits of technology

It improves the accuracy of the starting point of fire alarm signal characteristics, reduces the false alarm rate, enables timely handling and precise fire suppression, establishes a quantitative monitoring and early warning mechanism for system performance, and supports preventive maintenance.

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Abstract

The invention belongs to the technical field of smoke and fire alarm, and particularly relates to a smoke and fire alarm processing method, system and terminal based on internet-of-things intelligent fire fighting. According to the invention, on the basis of an alarm response time sequence formed by a historical smoke and fire alarm data set, overall offset time is obtained through calculation so as to correct smoke and fire alarm signals collected in real time; on the basis of a group of alarm data nodes determined in the corrected signal, a comprehensive fitting value serving as a subsequent correction reference datum is obtained through calculation, so that dynamic and self-adaptive precise calibration of alarm response time is realized through historical data macroscopic correction and recent data iterative optimization; the problem of insufficient precision caused by adopting a fixed offset value for correction is solved, and the accuracy of the timestamp of the signal feature starting point of the fire alarm event is further improved.
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