多传感器融合技术在煤矿粉尘在线监测中的应用研究

打开文本图片集

关键词：粉尘；多传感器融合；自适应加权算法；云计算；在线监测 中图分类号：TD714.3 文献标识码：A 文章编号：1008-9500（2026）02-0035-03 DOI：10.3969/j.issn.1008-9500.2026.02.009

Research on Application of Multi-Sensor Fusion Technology in Online Monitoring of Coal Mine Dust

LI Jianguo

（Yushujing Coal Mine of Inner Mongolia Shanghai Temple Mining Co.，Ltd.，OrdosO162Oo，China）

Abstract：Acoal mine dust online monitoring system basedon multi-sensorfusion technologyis studiedto address the problemsof insuffcientreal-time monitoring，singlemeasurement，andsusceptibilitytointerferenceinundergrounddust massconcentrationmonitoring incoal mines.Thesystem integratesdustsensors basedonmultiple principlesandcombines animproved adaptive weighted fusionalgorithm to constructadistributedand intelligent monitoring network system， aiming toachieve accurate and continuous online monitoring of coal mine dust mass concentration.By utilizing cloud computing platforms tostore，mine，andanalyzemassvemonitoringdata，earlywarningand trendpredictionofdustrisks canbeachieved，providingscientificdatasupportanddecision-making basisforocupationalhealthandsafetyproduction management in coal mines.

Keywords： dust; multi-sensor fusion; adaptive weighted algorithm; cloud computing; online monitoring

煤矿生产过程中，粉尘污染是导致尘肺病等职业病和潜在爆炸事故的主要因素之一。（剩余3679字）