基于物联网的矿山地质勘查数据实时采集与智能预处理系统设计OA
Design of Real time Collection and Intelligent Preprocessing System for Mining Geological Exploration Data Based on Internet of Things
为解决矿山地质勘查中数据分散、传输延迟与噪声干扰严重的问题,设计了一种基于物联网的实时采集与智能预处理系统.系统采用感知、边缘、传输、云端四层协同架构,实现数据的高频采集、滤波去噪与稳定传输.边缘侧集成异常检测与压缩算法,保障数据连续性与可靠性.试验结果表明,系统在复杂地形下可将信号时延降低35%,数据有效性提升至97%以上,为智能矿山的地质监测与安全管控提供技术支撑.
To address the issues of scattered data,transmission delays,and severe noise interference in geological exploration of mines,a real-time data collection and intelligent preprocessing system based on the Internet of Things(IoT)is designed.The system adopts a four-layer collaborative architecture of perception,edge,transmission,and cloud,achieving high-frequency data collection,noise filtering,and stable transmission.The edge side integrates anomaly detection and compression algorithms to ensure data continuity and reliability.Experimental results indicate that the system can reduce signal latency by 35%and increase data validity to over 97%in complex terrains,providing technical support for geological monitoring and safety management in intelligent mines.
郭云庆
国能神东煤炭集团有限责任公司锦界煤矿,陕西 榆林 719319
天文与地球科学
物联网地质勘查边缘计算数据预处理
Internet of ThingsGeological explorationEdge computingData preprocessing
《世界有色金属》 2026 (14)
60-62,3
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