Design and application of the industrial field bus-based intelligent coal preparation plant low-voltage power supply and distribution system
WANG Yuhan
Abstract：With the ongoing development of intelligent coal preparation plants,the low-voltage power supply and distribution systems applied therein are facing a multiple of problems during this development process,such as high consumption of PLC resource,difficulties in system upgrading and maintenance,and a large number of subsystems operating with overlapping functions.To address these issues,the low-voltage power supply and dis-tribution system used at Ningtiaota Mine's coal preparation is upgraded with an industrial field bus-based intelli-gent system.The system is mainly comprised of a remote low-voltage power cut-off and supply system,a low-voltage motor protector monitoring system,an electricity quantity data collection system,and a power distribu-tion room environment monitoring system.Functionally,it is divided into physical layer,network layer and con-trol layer.Field application of the system shows that real-time data collection and monitoring of power supply and distribution can be effected in the power distribution room;the time required for refreshing the data relating to instruments and low-voltage integrated protection system does not exceed one second;and the plastic-cased circuit breaker's power supply/cutoff delay time can be controlled within 3 seconds.The use of the system has led to a save of PLC resource,cut of initial capital cost,reduction of PLC's I/O points by 5 000,a save of con-trol cable by 30 000 meters,and decrease of background monitoring and control systems by 2 set.The upgrad-ing practice can provide a reference for intelligent renovation of low-voltage power supply and distribution sys-tem at other plants.
Keywords：coal preparation plant low-voltage power supply and distributionintelligent low-voltage power sup-ply and distribution systemindustrial field busremote power cutoff and supplylow-voltage motor protectorelectrical quantity data collection
Publication Date：2024-12-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 74-78 )