煤矿智能通风系统的设计及应用

Design and Application of Intelligent Ventilation System for Coal Mines

  • 摘要: 针对横沟煤矿传统通风系统自动化程度低、风量调节不精确、应急响应慢等问题,构建以现场总线和以太网环网为骨干的分层分域智能通风系统,提出并实现“测-算-校”闭环风网解算技术,突破传统通风系统在风量配给精度和响应速度方面的瓶颈。核心技术突破在于通过增量式PID与模糊控制的复合方法,实现末端风量达标率98%,风量偏差MAE为3.2%≤5%,显著提高风网自适应解算精度与系统响应速度。应用结果表明,该方案在提升系统安全性与经济性的同时,年电耗降低20%,瓦斯超限处置时长从15 min缩短至6 min,反风/限风到位时间从15 min降至5 min,单位通风电耗从16.1 kW·h/t降至12.9 kW·h/t,年节电费约572万元,人工成本降低43.8万元。通过智能化改造,系统实现了快速响应与高效风量调节,达到了节能、降本和提升安全性的综合效果。

     

    Abstract: Aiming at the problems of low automation degree, inaccurate air volume adjustment, slow emergency response and others in the traditional ventilation system of Henggou Coal Mine, a layered and domain division intelligent ventilation system with fieldbus and Ethernet ring network as the backbone is constructed, and a closed-loop air network calculation technology of "measurement-calculation-correction" is proposed and achieved, which breaks through the bottleneck of the traditional ventilation system in terms of air volume allocation accuracy and response speed. The core technological breakthrough lies in the composite method of incremental PID and fuzzy control, which achieves a 98% compliance rate for end air volume and an air volume deviation MAE of 3.2% ≤5%, significantly improving the wind network adaptive calculation accuracy and system response speed. The application results show that this scheme not only improves system safety and economy, but also reduces annual electricity consumption by 20%, shortens the disposal time of gas overrun from 15 min to 6 min, reduces the arrival time for inverted ventilation/restricted ventilation from 15 min to 5 min, reduces unit ventilation electricity consumption from 16.1 kW·h/t to 12.9 kW·h/t, saves about 5.72 million yuan in electricity cost annually, and reduces labor cost by 438 000 yuan. Through intelligent transformation, the system achieves rapid response and efficient air volume regulation, achieving a comprehensive effect of energy saving, cost reduction, and safety improvement.

     

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