工矿自动化2026，Vol.52Issue(5)：91-99,9.DOI:10.13272/j.issn.1671-251x.2025120111
面向纠偏控制的矿用带式输送机数字孪生预测决策系统研究
Digital twin prediction and decision-making system for correction control of mine belt conveyors
摘要
Abstract
To address the problems that current operation and maintenance systems for mine belt conveyors have poor real-time perception of belt deviation faults and lack predictive and intelligent decision-making capabilities,a digital twin prediction and decision-making system for correction control of mine belt conveyors was designed based on the five-dimensional digital twin model.A multidimensional high-fidelity digital twin model integrating geometry,physics,behavior,and rules was constructed,and low-latency real-time synchronization between physical and virtual entities was realized based on the EMQX service platform.A BP-PID algorithm was designed.With deviation amount,deviation speed,and tension as inputs,it tuned PID parameters online and performed correction control,while predicting the deviation trend based on operating status data of the belt conveyor.An experimental platform was built with a DTL-800 mine belt conveyor as the control object,and comparative experiments were carried out at belt speeds of 0.5,1.0,1.5,and 2.0 m/s.The results showed that,compared with the PID algorithm,the BP-PID algorithm improved the response speed of correction control by an average of 33％and reduced the steady-state error by about 50％.The predictive correction experiment results showed that the system could warn of an increasing trend in deviation probability 20 min later,rapidly diagnose and locate the corresponding idler when deviation actually occurred,and accurately execute correction instructions,realizing an automated closed loop of"perception-prediction-decision-execution".关键词
带式输送机/输送带纠偏控制/输送带跑偏预测/数字孪生/自主决策Key words
belt conveyor/conveyor belt correction control/conveyor belt deviation prediction/digital twin/autonomous decision-making分类
矿业与冶金引用本文复制引用
陈清华,许梦景,王兴田,王志愿,关维娟,徐曼曼..面向纠偏控制的矿用带式输送机数字孪生预测决策系统研究[J].工矿自动化,2026,52(5):91-99,9.基金项目
国家自然科学基金项目(52274153) （52274153）
机械工业矿山采选装备智能化重点实验室开放基金项目(CXSYS202405) （CXSYS202405）
智能装备质量与可靠性安徽省联合共建学科重点实验室开放基金项目(IEQRKL2404) （IEQRKL2404）
安徽理工大学校内实验室开放基金项目(AIMTEEL202201) （AIMTEEL202201）
煤炭安全精准开采国家地方联合工程研究中心开放基金项目(EC2024014). （EC2024014）
