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一种基于多源监测信息融合的煤仓监测管理系统

王学记1, 马趁想1, 范俊锴2

1.中赟国际工程有限公司，河南 郑州  450007；2.河南理工大学 机械与动力工程学院，河南 焦作  454000

摘要: 目的 大型煤仓缺少有效的监测管理方法是导致煤仓散煤堵塞的一个重要原因，通过多种监测手段并结合管理软件系统，对大型煤仓内的散煤储藏状态进行监测和管控，为煤仓的高效利用提供技术支持。  方法 基于多源信息融合，提出一种大型煤仓监测管理系统。硬件方面，通过单点式雷达料位计、3D雷达料位计、原煤在线灰水仪等对入仓散煤的储存状态进行监测。软件方面，通过开发料位管理平台、中控系统、边缘设备系统等对煤仓监测数据进行管理和在线显示。  结果 工程测试结果表明，采用单点式雷达料位计和3D雷达料位计相结合的方法，可准确获得煤仓内散煤的储存容量状态，实现煤仓内散煤料位的实时监测。通过在煤仓入料口布置在线灰水仪可实现入仓散煤含水量和灰分含量的实时监测。煤仓监测管理系统软件，可对煤仓监测数据进行系统化管理，并与煤仓卸料装车的磅单数据对接，实现煤仓储存状态系统化管理。将煤仓管理系统的散煤储存数据与散煤流动性智能化算法相结合，可有效控制煤仓清堵装备技术参数，实现煤仓的自动清堵。  结论 煤仓监测管理系统实现了对煤仓的实时监控和智能管理，煤质分层实时跟踪，为煤矿智能装车提供有效准确数据，极大提高了煤仓管理的精确性和响应速度。

关键词:数字煤仓系统;散煤监测系统;煤仓;智能化

doi:10.16186/j.cnki.1673-9787.2024110016

基金项目:国家自然科学基金资助项目（51405136）

收稿日期:2024/11/08

修回日期:2025/01/20

出版日期:2025-04-18

A coal bunker monitoring and management system based on multi-source monitoring information fusion

WANG Xueji1, MA Chenxiang1, FAN Junkai2

1.Zhongyun International Engineering Co.， Ltd.， Zhengzhou  450007， Henan， China；2.School of Mechanical and Power Engineering， Henan Polytechnic University， Jiaozuo  454000， Henan， China

Abstract: Objectives The lack of effective monitoring and management methods for large coal bunkers is a major cause of bulk coal blockages. By integrating multiple monitoring techniques with an advanced management software system， the storage conditions of bulk coal in large coal bunkers can be effectively monitored and controlled， providing technical support for the efficient operation and utilization of coal storage facilities. Methods This study proposes a coal bunker monitoring and management system based on multi-source information fusion. The hardware framework includes single-point radar level gauges， 3D radar level gauges， and online ash-moisture analyzers for raw coal to monitor the storage status of incoming coal. The software framework incorporates a material level management platform， a central control system， and an edge computing system to manage and visualize coal bunker monitoring data in real time. Results The engineering test results demonstrate that integrating a single-point radar level gauge with a 3D radar level gauge enables precise determination of the coal storage status in the coal bunker， thereby facilitating real-time monitoring of the coal level. Installing an online moisture and ash content analyzer at the coal bunker's feed inlet allows for continuous monitoring of the moisture and ash content of incoming coal. The coal bunker management system software can systematically organize and manage the monitoring data from the coal bunker while integrating it with the weighing sheet data for coal discharge and loading， thus enabling comprehensive management of the coal bunker's storage status. By combining the coal storage data from the coal bunker management system with intelligent algorithms designed for coal fluidity， the technical parameters of the coal bunker cleaning and blocking equipment can be effectively controlled， leading to automated cleaning and blockage prevention in the coal bunker.  Conclusions The coal bunker monitoring and intelligent management of coal storage， allowing for accurate tracking of coal quality stratification. This system provides reliable and precise data support for intelligent coal loading in mines， significantly enhancing the accuracy and responsiveness of coal bunker management.

Key words: digital coal bunker system; bulk coal monitoring system; coal bunker; intelligent management