Fire monitoring and early warning method and system based on distributed sensing

By using distributed sensing arrays and multi-sensor fusion technology, the robustness and fire source location accuracy of fire monitoring systems in complex large-space environments have been solved, achieving highly reliable early fire warnings and dynamic adjustment of warning levels.

CN122454736APending Publication Date: 2026-07-24江苏有熊安全科技有限公司 +1
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Patent Information

Application Number
CN202610679592.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-18
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing fire monitoring systems are not robust in complex, large-space environments, are susceptible to piston wind and electromagnetic interference, have low accuracy in locating fire sources, and are difficult to achieve accurate early fire warnings.

Method used

By employing distributed sensing arrays and multi-sensor fusion technology, a fire monitoring and early warning system is constructed through gridded deployment, feature extraction, spatiotemporal correlation discrimination, and multi-source information fusion. Micro-differential pressure sensors are used to eliminate piston wind interference, and fire source location is achieved by combining spatiotemporal correlation discrimination and weighted least squares iteration, and the early warning level is dynamically adjusted.

Benefits of technology

It improves the robustness of early fire warning and the accuracy of fire source location, reduces the false alarm rate, ensures the real-time performance and accuracy of the fire protection system in dynamic airflow environments, and provides a highly reliable fire early warning solution.

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Abstract

The application relates to the technical field of fire control monitoring, and discloses a fire monitoring and early warning method and system based on distributed sensing, which comprises the following steps: arranging sensing nodes in a monitoring area in a grid manner and synchronously collecting multi-dimensional environmental parameters; preprocessing signals and extracting mutation characteristic vectors through a built-in logic of the nodes; performing space-time correlation discrimination based on the topological relationship between adjacent sensing nodes; performing fire source inversion positioning by using a multi-source information fusion algorithm, calculating a fire starting point coordinate and a spreading speed; and dynamically triggering an adaptive early warning mechanism according to an inversion result. The system comprises a distributed sensing array, a convergence gateway, a central processing server and a fire linkage terminal. Through logical cascading between distributed nodes, the application effectively filters single-point environmental interference, eliminates the influence of piston wind on detection, and significantly improves the fire condition recognition robustness and fire source positioning accuracy.
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