洁净煤技术

2019, (05) 144-150

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智能化选煤厂专栏大型选煤厂智能化技术研究
Research on intelligent technology of large-scale coal preparation plant

宋文革;
SONG Wenge

摘要(Abstract):

以大型选煤厂为研究对象,依据选煤厂智能化需求,提出全方位智能化建设方案,在紧密融合煤炭分选加工、过程控制和人工智能的基础上,从智能感知、智能决策、设备智能诊断与管理以及生产过程智能化等环节进行理论研究和应用实践,研发了选煤厂智能化建设成套技术。通过智能决策系统,对比不同生产方式,预测所能生产的商品煤产率和质量,从而计算出产品效益,推荐最优生产方式,并对生产成本、效益等进行分析,极大促进了神东煤炭集团管理创新及智能化建设,实现提质增效、智能化生产与管理。建立分选过程数据库、生产模型评价库和选煤专家数据库在内的结构化私有云数据库,在此基础上,结合人工神经网络及随机搜索算法,根据用户需求和效益最大化原则,在原有网络基础上,构建了基于工业4G网络。以故障特征数据分析为支撑,开发选煤设备智能诊断管理系统,实现设备状态的实时监测、在线分析、故障诊断和全生命周期的智能管理,解决了现有的信息孤岛问题。以多维度的智能监控为基础,实现生产环境感知、工艺系统感知、生产设备感知,通过智能统计、分析、预测生产状态,对分选日常业务进行信息化管理,并结合移动控制等手段优化了现有管理机构及生产组织形式。开发数据驱动的重选控制参数在线实时智能给定与精准控制技术,开发煤泥水入料特性与固液相界面协同的智能化精准加药技术,开发智能配电、人员智能定位和自动装车等技术,实现选煤厂生产过程智能化。通过数据驱动与专家决策实现了分选参数的在线智能给定。通过智能化的升级改造,可以实现亿吨级大型选煤厂群精准生产、智能调配,有效降低了作业成本。
A large-scale coal preparation plant Shendong Coal Washing Center was taken as the research object. According to the intelligent demand of coal preparation plant,this paper put forward an all-round intelligent construction scheme. On the basis of closely integrating coal washing processing,process control and artificial intelligence,theoretical research was carried out from the aspects of intelligent perception,intelligent decision-making,intelligent diagnosis and management of equipment and intelligent production process. A set of intelligent construction technology of coal preparation plant was developed. Through intelligent decision-making system,the production rate and quality of commercial coal could be predicted by comparing different modes of production,so as to calculate product benefits,recommend the optimal mode of production,and make statistical analysis of production costs and benefits,which greatly promotedthe management innovation and intelligent construction of Shendong Coal Group. It realized the improvement of quality and efficiency,intelligent production and management. A structured private cloud database including washing process database,production model evaluation database and coal preparation expert database was established. On this basis,combined with artificial neural network and random search algorithm,according to the needs of user and the principle of maximum benefit,and on the basis of the original network,an intelligent diagnostic management system for coal preparation equipment was developed,which was based on industrial 4G network and supported by fault characteristic data analysis. It realized real-time monitoring,online analysis,fault diagnosis and intelligent management of the whole life cycle of the equipment,and solved the existing problem of information island. On the basis of multi-dimensional intelligent monitoring,production environment perception,process system perception and production equipment perception were realized. Through intelligent statistics,analysis and prediction of production status,information management of washing daily business was carried out. Combining with mobile control and other means,the existing management institutions and production organization forms were optimized. The data-driven on-line intelligent parameter setting and precise control technology for gravity separation control was developed,and the intelligent and precise drug feeding technology based on the synergy of slurry feed characteristics and solid-liquid interface was developed,the intelligent power distribution,personnel intelligent positioning and automatic loading technology was developed to realize the intellectualization of coal preparation plant production process. The on-line intelligent setting of sorting parameters was realized by data-driven and expert decision-making. Through intelligent upgrade and transformation,the precise production and intelligent allocation of large-scale coal preparation plants with a capacity of 100 million tons could be realized,and the operation cost could be effectively reduced.

关键词(KeyWords): 智能化;大型选煤厂;煤炭分选;过程控制;人工智能
intelligentialize;large-scale coal preparation plant;coal separation;process control;artificial intelligence

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作者(Author): 宋文革;
SONG Wenge

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