选煤厂带式输送机保护装置多端口输出系统研究

    Multi-port output system for belt conveyor protection devices in coal preparation plants

    • 摘要: 针对选煤厂带式输送机保护装置存在信号输出端口单一、误报率高、停机逻辑不合理等问题,为提升带式输送机运行稳定性与安全管控智能化水平。以马头洗选厂工程为依托,研究并应用了一套基于优先级划分与模糊自适应控制的多端口分级保护系统。该研究重构设备保护信号输出架构,搭建分优先级的多端口协同控制架构,将现场9类保护装置划分为高、中、低三个优先级等级,匹配对应独立输出端口,并增设专用检修端口保障设备运维需求。其中:高优先级端口集成堆煤、撕裂及沿线急停等高危故障保护信号,可直接触发设备紧急停机,杜绝重大安全事故;中优先级信号引入基于动态权重与模糊推理的自适应闭锁算法,通过工况阈值实时动态调整机制,有效抑制环境干扰引发的误报警问题;低优先级信号统一转为预警监测模式,借助信号分路器实现信号精准分离、分级处置。同时,系统对关键监测传感器实施冗余部署,配套故障信号自动路由至检修端口的功能,有效规避局部设备故障导致的系统整体失效问题,保障保护系统持续稳定可靠运行。以马头洗选厂35#带式输送机为试验载体开展为期三个月的现场对比试验,试验结果表明:改造后系统误报警率由改造前的约30%降至5%以下,因误报警引发的设备非计划停机时间减少40%以上。基于现场实际运行数据测算,系统落地应用后,年度总经济效益达142.6万元,净经济效益112.6万元。该系统有效解决了传统输送机保护系统的运行短板,显著提升了设备保护可靠性与现场运维智能化水平,为智能化选煤厂建设提供了一种高可靠性、低误报率的设备保护优化方案。

       

      Abstract: To address the issues of a single signal output port, high false-alarm rates, and unreasonable shutdown logic in protection systems for belt conveyors in coal preparation plants, a multi-port graded protection system based on priority classification and fuzzy adaptive control was developed and applied at Matou Coal Preparation Plant to improve the operational stability and intelligent safety management of belt conveyors.The study restructured the protection-signal output architecture and established a priority-based multi-port coordinated control architecture. The nine types of protection devices deployed in the field were classified into three priority levels—high, medium, and low—with corresponding independent output ports assigned to each level. A dedicated maintenance port was also added to meet equipment inspection and maintenance requirements.Among these, the high-priority port integrates protection signals for critical faults, including coal blockage, belt tearing, and emergency pull-cord switch signals along the conveyor. These signals can directly trigger an emergency shutdown, thereby preventing major safety incidents. For medium-priority signals, an adaptive interlocking algorithm based on dynamic weighting and fuzzy inference was introduced. By dynamically adjusting the operating thresholds according to real-time operating conditions, the algorithm effectively suppresses false alarms caused by environmental interference. Low-priority signals are uniformly converted into warning and monitoring signals, while signal splitters are used to accurately separate and process signals according to their priority levels.Meanwhile, redundant deployment was implemented for critical monitoring sensors, together with an automatic routing function that directs fault signals to the dedicated maintenance port. This configuration effectively prevents localized equipment failures from causing the failure of the entire protection system, thereby ensuring its continuous, stable, and reliable operation.A three-month field comparative trial was conducted using No.35 belt conveyor at Matou Coal Preparation Plant as the test platform. The results showed that, after the modification, the system’s false-alarm rate decreased from approximately 30% to below 5%, while unplanned equipment downtime caused by false alarms was reduced by more than 40%.Based on actual field operating data, the annual total economic benefit generated by implementing the system was estimated at 1.426 million yuan, with a net economic benefit of 1.126 million yuan.The system effectively addresses the operational limitations of conventional conveyor protection systems and significantly improves the reliability of equipment protection and the intelligence level of on-site maintenance. It provides a highly reliable, low-false-alarm solution for optimizing equipment protection systems and offers a practical approach to the development of intelligent coal preparation plants.

       

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