中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (S1): 159-164.doi: 10.16265/j.cnki.issn 1003-3033.2021.S1.028

• 安全工程技术 • 上一篇    下一篇

无线安全监控系统在选煤厂瓦斯监测中的应用

韩子彬 高级工程师, 王丽宏 工程师   

  1. 国家能源集团神东煤炭集团公司 洗选中心, 陕西 榆林 719315
  • 收稿日期:2021-10-09 修回日期:2021-11-22 出版日期:2021-12-30 发布日期:2022-06-30
  • 作者简介:韩子彬 (1982—),男,内蒙古锡林浩特人,硕士,高级工程师,主要从事选煤厂监测监控、自动控制等方面的工作。E-mail:36331324@ qq.com。

Application of wireless safety monitoring system in gas monitoring of coal preparation plants

HAN Zibin, WANG Lihong   

  1. Coal Washing Center, Shendong Coal Group Corporation of CHN Energy, Yulin Shaanxi 719315, China
  • Received:2021-10-09 Revised:2021-11-22 Online:2021-12-30 Published:2022-06-30

摘要: 为减少或避免选煤厂瓦斯爆炸事故的发生,解决选煤厂安全监控系统智能化程度低和不能精准地确定瓦斯质量浓度这一问题,引入无线传感器网络(WSN)进行监控,设计安全监控系统框架和各功能单元,分析验证其应用性能;分析选煤厂安全智能监控领域WSN的应用价值。系统运行中可以基于大量的传感器节点进行信息采集,将相关信息通过通信网发送到控制中心。结果表明:WSN可以实现选煤厂瓦斯质量浓度的实时检测,达到预警值现场报警,确保在出现警情后高效的应对,从而为瓦斯质量浓度的监控提供支持,避免引发严重事故。采用的低功耗分群分层路由协议,可延长网络的有效生命周期,使各节点能量损耗均衡。

关键词: 选煤厂, 安全监控, 瓦斯质量浓度, 无线传感器网络(WSN), 催化燃烧

Abstract: In order to reduce or avoid gas explosion accidents in coal preparation plants and solve the problems of low intelligence of its safety monitoring system and inability to accurately determine mass volume concentration of gas, WSN was introduced, framework of the monitoring system and its functional units were designed, and its application performance was analyzed and verified. Then, application value of WSN in intelligent safety monitoring of such plants was analyzed. During the systems operation, information could be collected based on a large number of sensor nodes and sent to control center through communication network. The results show that WSN can realize real-time monitoring of gas concentration in coal preparation plants and provide early warning on site when it reaches certain value, which could ensure efficient response after alarm, so as to provide support for gas monitoring and avoid serious accidents. The low-power clustering and hierarchical routing protocol can prolong effective life cycle of the network and balance energy loss of each node.

Key words: coal preparation plant, safety monitoring, gas mass concentration, wireless sensor network (WSN), catalytic combustion

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