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煤矿井下人员生命体征智能监测与保护装备研究:综述

Research on Intelligent Monitoring and Protection Equipment of Vital Signs of Underground Personnel in Coal Mines: Review.

作者信息

Liang Yuntao, Liu Yingjie, Lu Changjia, Cui Dawei, Yang Jinghu, Zhou Rui

机构信息

Chinese Institute of Coal Science, Beijing 100013, China.

Emergency Research Institute, Chinese Institute of Coal Science, Beijing 100013, China.

出版信息

Sensors (Basel). 2024 Dec 25;25(1):63. doi: 10.3390/s25010063.

Abstract

The coal industry is a high risk, high difficulty industry, and the annual global mine accident rate is high, so the safety of coal mine underground operations has been a concern. With the development of technology, the application of intelligent security technology in coal mine safety has broad prospects. In this paper, the research progress of vital signs monitoring and support equipment for underground personnel in coal mines is reviewed. The two main methods to ensure the safety of miners are discussed. They consist of directly monitoring human vital signs through portable devices such as smart helmets and smartwatches and indirectly monitoring underground environmental parameters. In addition, the application of information technology, sensor technology and artificial intelligence in vital signs monitoring is briefly discussed, and some future research directions are proposed. For example, through big data and artificial intelligence technology, vital signs data can be compared with historical data, individual health trends and potential risks can be analyzed, and we can provide personalized health management programs for miners. These technologies not only improve the safety of underground coal mine operation, but also provide an important guarantee for the realization of intelligent and safe coal mine production.

摘要

煤炭行业是一个高风险、高难度的行业,全球每年的煤矿事故发生率较高,因此煤矿井下作业的安全一直备受关注。随着技术的发展,智能安全技术在煤矿安全中的应用前景广阔。本文综述了煤矿井下人员生命体征监测及支护设备的研究进展。讨论了保障矿工安全的两种主要方法。它们包括通过智能头盔和智能手表等便携式设备直接监测人体生命体征以及间接监测井下环境参数。此外,简要讨论了信息技术、传感器技术和人工智能在生命体征监测中的应用,并提出了一些未来的研究方向。例如,通过大数据和人工智能技术,可以将生命体征数据与历史数据进行比较,分析个体健康趋势和潜在风险,并为矿工提供个性化的健康管理方案。这些技术不仅提高了煤矿井下作业的安全性,也为实现智能化、安全化的煤矿生产提供了重要保障。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a54/11722757/89e1b6f5914a/sensors-25-00063-g001.jpg

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