矿山人工智能大模型标准研究制定

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中图分类号：TD67 文献标志码：A

DOI：10.13272/j.issn.1671-251x.18267

Abstract：At present，the average number of cameras in coal mines exceeds 5oo，making continuous manual monitoring impossibleand large screens insufcient forcomprehensive display.Reviewing videosafterward cannotpromptly identify potential safety hazards，making it dificulttoprevent accidents.Therefore，Artificial Intellgence （AI）-based video monitoring in coalmines has becomean inevitablechoice under the principleof "no operation without video".Conventional AI models have problems such as poor generalizationand difficulty in recognizing abnormal events.Large AI models can solve these problems and should possess functions including datacollectionand indexing，large-model pre-training，fine-tuninganddeployment，and model iteration，while supporting multimodal data including images，videos，text，and audio.General-purpose large AI modelsare trainedusing large-scaledata from the mining industry to form largeAI models for mining.Large AI models for mining haveadvantages suchas powerful functions，good generalization，strong versatility，and highreliability. Large AI models for mining should have a scenario generation function that alows users to use a small amount of labeled data to automatically generate scenario models through workflows， meeting the application needs of mine production，safety，geological surveying，transportation and sales，coal preparation，operations，and management. Based on the safety production requirements ofcoal mines，thefunctional， interface，data，software and hardware platform，and deployment requirements of large AI models for mining are proposed to standardize their planning， design， engineering construction，operation and management，and maintenance，and to promote the applicationof AI in coal mines.

Key words： intelligent mine; artificial intelligence; large model; video surveillance; standard

0引言

煤矿视频监视在发现事故隐患、防范事故、打击和防范瞒报事故、事故调查和分析、设备远程监控、远程调度指挥、远程维修等方面发挥着重要作用[1-3]。（剩余11571字）