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选煤厂智能配煤系统研究与应用

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为解决传统配煤方式严重依赖人工经验、数据反馈较为滞后、操作复杂、劳动强度大等问题,在分析蒙大矿业选煤厂配煤系统现状的基础上,通过对智能配煤算法和控制进行研究,开发了一套智能配煤系统.该系统选用模糊控制进行比例配煤或煤质配煤,能够依据用户要求以及各产品仓的产品质量、储量情况,自动给出最优配煤方案.生产实践表明:该系统可根据煤质数据在线调节配煤比例,使蒙大矿业选煤厂混煤产品吨煤发热量提高了 9.85 J,增加收益73.45万元/a,同时避免了"亏卡"现象带来的经济纠纷;实现减员3人,节约人工成本30万元/a.智能配煤系统的研究与应用,实现了选煤厂配煤的智能化、高效化与系统化,对产品煤质提升和选煤效率管控具有积极意义,且该系统具有可复制性,可广泛应用于类似条件的选煤厂配煤系统中.
Study and application of the intelligent coal blending system at coal preparation plant
The troubles confronted with the use of the traditional coal blending methods are heavy reliance on experience of operators,delay in data feedback,operational complexity and high labor intensity.Through ana-lysis of the current state of the coal blending system applied at Mengda Coal Preparation Plant,and study of the intelligent blending algorithm and control scheme,an intelligent coal blending system is developed.The system can execute coal blending in proportion or according to coal quality under fuzzy control,and is capable of work-ing out automatically an optimum blending scheme according to requirements of users as well as the quality and quantity of the coal stored in each bunker.Practices shows that the system can make online adjustment of the proportions of blending coal based on coal quality data;with the use of the system at Mengda Plant,the calorific value of blended coal is increased by 9.85 J,creating an additional revenue of 734,500 yuan for the plant per year;the economic dispute aroused by the plant's inability to have the calorific value of blended product accur-ately controlled at the required level can be avoided;three operators have been reduced,saving a labor cost of 300,000 yuan a year.The use of the system enables coal preparation plants to operate with an intelligent,highly efficient and systematic coal blending system;the system developed is of positive significance for upgrading of coal product and improvement of coal cleaning efficiency;and the system has a high reproducibility and can find widespread applications in other plant with similar conditions.

intelligent coal blending systemcoal blending modelfuzzy controlcoal blending in proportioncoal blending according to coal qualityoptimum blending schemecalorific value per ton of coal

张海涛

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中煤科工集团唐山研究院有限公司,河北唐山 063012

河北省煤炭洗选技术创新中心,河北唐山 063012

智能配煤系统 配煤模型 模糊控制 比例配煤 煤质配煤 最优配煤方案 吨煤发热量

2024

选煤技术
煤炭科学研究总院唐山研究院 中国煤炭学会选煤专业委员会 煤炭工业技术委员会 国家水煤浆工程技术研究中心 中国煤炭工业协会选煤分会

选煤技术

影响因子:0.403
ISSN:1001-3571
年,卷(期):2024.52(3)
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