煤矿井下皮带AI异物识别与联动控制研究与应用

Research and Application of AI Foreign Object Identification and Linkage Control in Underground Coal Mine Belt

煤矿井下采掘工作面异物,尤其是铁器进入原煤运输系统会严重影响皮带机的安全运行,针对这一问题,基于庞庞塔煤矿井下实际场景,通过引进人工智能基础平台,自主开发面向皮带的异物识别人工智能模型,通过模型的迭代训练,最终使得异物识别的准确率达到97%;同时设计开发出统一的控制中台,接入皮带控制系统和井下应急广播系统,实现了从异物识别、应急广播联动警报到皮带远程联动停机的全流程管控,确保了原煤运输系统的安全稳定运行。

In view of the problem that foreign objects,especially iron objects,enter the raw coal transportation system in underground mining face of coal mines and seriously affect the safe operation of belt conveyors,based on the actual underground scene of Pangpangta Coal Mine,the AI basic platform was introduced to independently develop the foreign object identification AI model for belt,through the iterative training of the model,the accuracy rate of foreign object identification reached 97%;at the same time,a unified control center accessing to the belt control system and the undergroud emergency broadcasting system was designed and developed,realizing the whole process control from foreign object identification,emergency broadcast linkage alarm to belt remote linkage shutdown,thus ensuring the safe and stable operation of the raw coal transportation system.