基于红外监测的储煤场防自燃智能报警与消防联动系统

By acquiring infrared and visible light data and combining them with the bucket wheel excavator's pose, a physical occlusion boundary mask matrix is ​​generated to remove metal reflection interference. This enables accurate identification of potential spontaneous combustion points and fire-fighting linkage during the movement of mechanical equipment, solving the problems of false alarms and missed alarms in existing technologies.

CN122416611APending Publication Date: 2026-07-17HEBEI HANFENG POWER GENERATION CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HEBEI HANFENG POWER GENERATION CO LTD
Filing Date
2026-03-18
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing intelligent alarm and fire-fighting linkage systems for coal storage yards based on infrared monitoring suffer from false alarms and missed alarms because the infrared thermal imager cannot accurately identify potential spontaneous combustion points in areas obscured by metal components during the movement of large mechanical equipment.

Method used

The infrared thermal radiation tensor, visible light matrix, and bucket wheel stacker-reclaimer pose coordinate array are obtained by the sensing module. The decoupling module generates a physical occlusion boundary mask matrix to remove the interference of metal surface reflection. The inference module performs frequency domain calculation to reconstruct the temperature field spectrum. The intervention module calculates the fire spray angle to avoid the mechanical motion trajectory, so as to achieve accurate identification and fire linkage.

Benefits of technology

During the movement of large mechanical equipment, potential spontaneous combustion points can be accurately identified and non-interference fire-fighting linkage can be achieved, reducing the probability of false alarms and solving the problem of missed fire sources in dynamic shadow areas.

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Abstract

本发明涉及火电厂储煤场数字化监控与防灾减灾自动化控制技术领域,本发明提供了基于红外监测的储煤场防自燃智能报警与消防联动系统,包括感知模块、解耦模块、推演模块以及干预模块。感知模块获取红外热辐射张量、可见光矩阵与位姿坐标阵列;解耦模块通过拓扑映射与辐射分离算法,在煤层热辐射谱中剔除金属表面高反辐射干扰;推演模块利用偏微分方程替代模型重构遮挡盲区下的全域温度场,提取自燃点空间坐标集;干预模块通过强化学习算法规划避障路径,驱动消防执行端完成精准喷淋。本发明解决了大型机械作业环境下隐蔽高温点辨识失灵与火源漏报的技术问题。
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