视觉AI在煤矿机电设备有效生产系统中的研究与应用

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中图分类号：TD67 文献标志码：A 文章编号：2095-2945（2025）31-0014-05

Abstract：ThisresearchadoptstheYOLOv8deeplearning framework tostudythedynamicrecognitiontechnologyand applicationsenariosoftheoperatingstatusandcoalvolumeofcoal minescraper machinesandbeltconveyors，andbuildsa VisualAImodelusingpictures，videosandcamerasasmultipledatafusionanalysis，formingacontinuousanalysisalgorithm basedontheoperatingdataofelectromechanicalequipment，anddevelopinganefectiveelectromechanicalequipmentproduction systemthatcalculatesdeadtimeandcoalproductiontimeinsections.AIidentifcationtechnologyisusedtoanalyzethe effectiveproductionofelectromechanicalequipmentanddynamicallyanalyzetheoperatingrateofquipment，whichprovidesgood conditionsforensuringthefectiveoperationofcoalmineelectromechanicalequipment，andprovidesastrongscientificbasisfor production scheduling and command.

Keywords：Visual AI; effective production; scraper machine； belt conveyor;coal mine

在煤矿行业，综采、掘进、主运等生产环节的效率直接影响到整个煤矿的运营成本和经济效益。（剩余5303字）