煤炭工程 ›› 2026, Vol. 58 ›› Issue (7): 18-24.doi: 10.11799/ce202607003

• 设计技术 • 上一篇    下一篇

基于多重感知技术带式输送机无人值守管理系统设计

秦论民,寇子明,王雨桐,韩 聪   

  1. 1. 太原理工大学 机器人科学与工程学院,山西 太原 030024

    2. 矿山流体控制国家地方联合工程实验室,山西 太原 030024

  • 收稿日期:2025-09-22 修回日期:2025-12-22 出版日期:2026-07-15 发布日期:2026-08-03
  • 通讯作者: 寇子明 E-mail:zmkou@163.com

Unattended management system for belt conveyors based on multi-sensor perception#br#

  • Received:2025-09-22 Revised:2025-12-22 Online:2026-07-15 Published:2026-08-03

摘要:

高效、智能、安全是未来智能采矿可持续发展的核心方向。本研究提出一种基于“设备感知原始数据传输平台”四层协同架构的带式输送机智能管理系统,构建了覆盖设备感知、数据处理、在线监测、故障诊断与智能决策的全链条智能化闭环框架。设备感知层通过多传感器获取异构数据;原始数据层利用网络模型对数据进行处理、融合与压缩;传输层依托工业以太网和5G等技术实现数据的实时传输与远程监测;平台层则借助闭环网络、相关算法及专家系统完成故障预警与智能决策。基于该架构,本文详细阐述了其组成、原理与功能,可实现复杂工况下的设备监测与保护,保障运输系统安全高效运行,提升煤矿智能化水平,减少安全事故的发生及其带来的损失。

关键词: 带式输送机, 智能感知, 无人值守, 故障检测, 故障诊断

Abstract:

Abstract:Efficiency, intelligence, and safety are important aspects of the sustainable development of smart mining in the future. This paper proposes a smart mining technology system based on a collaborative framework of "equipment perception - raw data - transmission - platform," constructing a complete closed-loop framework of intelligent mining that encompasses equipment perception, data processing, online monitoring, fault diagnosis, and intelligent decision-making. The equipment perception layer acquires heterogeneous data through multiple sensors; the raw data layer processes and fuses compressed data using a network model; the transmission layer relies on technologies such as industrial Ethernet and 5G for real-time data transmission and remote monitoring; and the platform layer achieves fault early warning and intelligent decision-making through closed-loop networks, algorithms, and expert systems. Based on this framework, this paper elaborates on its components, principles, and functions, enabling equipment monitoring and protection under complex working conditions, ensuring the safe and efficient operation of transportation systems, enhancing the intelligence level of coal mines, and reducing the occurrence and losses of safety accidents.

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