Multi-data fusion fire-fighting early warning method and platform

Through the fire protection and early warning method of multi-data fusion, multiple data sensing devices are used to collect and fuse data to build a fire risk model, solving the problem of traditional fire warning methods being susceptible to environmental interference, and achieving more accurate and timely fire warning.

CN119672885AActive Publication Date: 2025-03-21CHINA FIRE RESCUE ACAD
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Patent Information

Application Number
CN202411603713.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-11
Publication Date
2025-03-21
Estimated Expiration
2044-11-11

AI Technical Summary

Technical Problem

Traditional fire early warning methods rely on a single sensor and are susceptible to interference from environmental factors, resulting in false alarms or missed reports. They lack the comprehensive monitoring and analysis capabilities of complex environments, and cannot accurately assess fire risks.

Method used

The fire protection and early warning method of multi-data fusion is adopted to collect environmental data through multiple data sensing equipment, and noise filtering and data fusion is carried out in combination with the fire protection equipment layout data, a fire risk model is constructed, the fire risk level is evaluated, and automated early warning instructions are generated.

Benefits of technology

It significantly improves the accuracy and response speed of fire warnings, and can promptly notify relevant personnel when a fire occurs, and take corresponding prevention or rescue measures to effectively reduce potential losses.

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Abstract

The invention provides a multi-data fusion fire-fighting early warning method and platform, and relates to the technical field of fire fighting, and the method comprises the steps: collecting a multi-dimensional environment data set of a target region; performing noise filtering on the multi-dimensional environment data set to obtain a multi-dimensional environment de-noised data set; comprehensively analyzing the plurality of data sources based on the multi-dimensional environment de-noised data set to generate fire-fighting comprehensive data, and fusing the multi-dimensional environment de-noised data set to obtain a multi-dimensional environment fused data set; building a fire risk model according to the fire-fighting comprehensive data, synchronizing the multi-dimensional environment fusion data set to the fire risk model for evaluation according to a plurality of data sources, and obtaining a fire risk level of the target area; and generating a fire-fighting early warning instruction based on the fire risk level, and sending the instruction to the remote control terminal. According to the method, the technical problem that a traditional fire early warning method is single in monitoring means and is easily interfered by environmental factors to cause false alarm or missing alarm is solved, and the accuracy and response speed of fire early warning are remarkably improved.
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