Temperature collecting, monitoring and alarming method for palm fire fighting

By collecting and analyzing data on multiple environmental factors in the fire temperature monitoring system, combining long-term and short-term memory networks and multi-time scale analysis technology, the problem of inaccurate prediction of temperature changes before fire in the existing technology is solved, and efficient early fire warning is achieved.

CN119723856AActive Publication Date: 2025-03-28SHENZHEN DINGWEI IND TECHNOLOGY RESEARCH CO LTD
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Patent Information

Application Number
CN202510231164.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-28
Publication Date
2025-03-28
Estimated Expiration
2045-02-28

AI Technical Summary

Technical Problem

Existing fire temperature monitoring technology is difficult to accurately predict the nonlinear characteristics of temperature changes before fire, resulting in untimely early warning of fire, which reduces the safety and reliability of the monitoring area.

Method used

By synchronously collecting environmental factor data at temperature monitoring points, the correlation between each factor and temperature is calculated after denoising, multi-factor features are extracted and output feature vectors are generated, a time series matrix input long and short-term memory network is constructed, temperature trend characteristics are extracted, and multi-time scale analysis is performed by combining fast Fourier transform, weighted moving average method and exponential smoothing method, a three-level early warning mechanism and dynamic adjustment threshold are set, and the alarm strategy is optimized using the Q-learning algorithm.

Benefits of technology

Accurate prediction and early warning of temperature changes before fire, improve the safety and reliability of the monitoring area, and have efficient early warning capabilities for early fire.

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Abstract

The invention discloses a temperature collecting, monitoring and alarming method for palm fire fighting, relates to the technical field of temperature monitoring for fire fighting, and is used for solving the problem of inaccurate temperature monitoring and prediction. According to the method, environmental factor data are synchronously collected through temperature monitoring points, the correlation between each factor and the temperature is calculated after denoising, multi-factor characteristics are extracted to generate an output characteristic vector of temperature prediction, the output characteristic vector is constructed into a time sequence matrix to be input into a long-short-term memory network, and temperature trend characteristics are extracted; the method comprises the following steps: predicting a future trend and comparing the future trend with a safety threshold to judge whether early warning is triggered or not, meanwhile, identifying temperature changes of different frequencies by adopting fast Fourier transform, a weighted moving average method and an exponential smoothing method through short-term, medium-term and long-term scale temperature trend analysis, setting a three-level early warning mechanism and dynamically adjusting the threshold, and finally, carrying out early warning. Based on early warning feedback data, a Q-learning algorithm is adopted to optimize a threshold value and an alarm strategy, a self-adaptive learning closed loop is formed, and the early fire early warning capability is improved.
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