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龙王沟选煤厂智能化控制实践与分析

Practice and analysis of intelligent control in Longwanggou Coal Preparation Plant
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摘要 推进选煤厂智能化建设是科技进步、时代发展的必然趋势。龙王沟选煤厂原有选煤工艺流程已不能满足智能选煤厂需求,因此对龙王沟选煤厂重介系统与浓缩系统进行智能化改造。原重介系统同位素在线灰分仪检测精度不能满足指导生产的要求,由于缺少磁性物含量检测仪,合格介质悬浮液的磁性物含量未能进行有效控制,生产过程中易出现重介悬浮液密度不稳定。原浓缩系统絮凝剂和凝聚剂加药无具体规章制度,检查浓缩机溢流澄清具有滞后性。通过密度含量模糊控制,液位模糊控制,煤泥含量模糊控制对重介系统悬浮液多参数智能控制,通过模糊算法对重介悬浮液密度寻优进行控制;浓缩系统从絮凝剂添加量的智能预测、絮凝剂添加量的智能控制和絮凝剂加药过程的智能控制3方面进行改造。智能化改造后龙王沟选煤厂智能化改造之后重介系统精煤灰分降低0.88%,重液使用量降低0.03 kg/t,浓缩系统絮凝剂使用量降低2.53 g/t。为龙王沟后续为打造样板型智能化选煤厂奠定基础。 Promoting the intelligent construction of coal preparation plant is an inevitable trend of scientific and technological progress and the development of The Times.The original coal preparation process of Longwanggou Coal preparation plant can’t meet the needs of intelligent coal preparation plant,so the heavy medium system and concentration system of Longwanggou Coal preparation plant are intelligently reformed.The detection accuracy of isotope on-line ash separator of the primary heavy medium system cannot meet the requirements of guiding production.Due to the lack of magnetic content detector,the magnetic content of qualified medium suspension cannot be effectively controlled,and the density of heavy medium suspension is prone to instability in the production process.There are no specific rules and regulations for flocculant and coagulant dosing in the original thickening system.The multi-parameter intelligent control of suspension of heavy medium system is carried out by fuzzy control of density content,liquid level and slime content.The density optimization of heavy medium suspension is controlled by fuzzy algorithm.The concentration system is reformed from three aspects:intelligent prediction of flocculant addition amount,intelligent control of flocculant addition amount and intelligent control of flocculant dosing process.After the intelligent transformation of Longwanggou Coal preparation Plant,the ash content of the heavy medium system is reduced by 0.88%,the heavy liquid usage is reduced by 0.03 kg/t,and the flocculant usage in the concentration system is reduced by 2.53 g/t.It lays a foundation for Longwanggou to build a model type intelligent coal preparation plant.
作者 陈修奇 白永清 姜思远 张忠 盖春杰 王传真 CHEN Xiuqi;BAI Yongqing;JIANG Siyuan;ZHANG Zhong;GE Chunjie;WANG Chuanzhen(Tianjin Detong Electric Co.,Ltd.,Tianjin 300385,China;Ordos Guoyuan Mining Development Co.,Ltd.,Ordos 017000,China;School of Material Science and Engineering,Anhui University of Science and Technology Huainan Anhui 232001,China)
出处 《洁净煤技术》 CAS CSCD 北大核心 2024年第S01期553-559,共7页 Clean Coal Technology
基金 安徽省高校协同创新资助项目(GXXT-2023-104) 安徽省煤炭清洁加工与碳减排工程研究中心开放基金资助项目(CCCE-2023001)
关键词 神经网络 智能分选 灰分 原煤识别 neural network intelligent sorting ash content raw coal identification
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