Research And Development Of Coal Preparation Information Management System And Application Of Carbon Emission Accounting And Prediction

The guidelines for intelligent construction of coal mines（2021 Edition）clearly puts forward the construction objectives and overall design for intelligent coal preparation.Under the background of intelligent coal preparation and intelligent coal preparation number,the coal preparation plant actively explores the information transformation.In the exploration process,it is exposed that there are a series of problems in the coal preparation information system,such as various sources of coal preparation data,blowout growth of data volume,lack of data integration,processing and visualization ability and so on.In view of the above problems,the framework design and key technologies of coal preparation information management system based on big data Hadoop ecosystem technology are studied.The design schemes including system architecture,business module,database,network topology and operation environment are determined.The key technologies include using service-oriented enterprise service bus（ESB）and master data management system（MDM）field mapping to realize the integration and interconnection of coal preparation data in different systems.Design role setting,sample set splitting,normalized dimensionality and Pearson correlation analysis program to realize coal preparation data processing.The intelligent large screen Kanban is developed by using echarts component to realize the visual display and real-time interaction of coal preparation data.Based on the research of coal preparation information management system,it is found that the data processing efficiency of coal preparation energy,energy consumption and other related data in the system is low,and the data analysis ability is weak.Under the background of"carbon peak"and"carbon neutralization",coal preparation plants have actively implemented carbon reduction and emission reduction,which has become the key to green and sustainable development.The carbon emission accounting of the whole life cycle and the whole production link is the basic and key work of carbon reduction and emission reduction of coal preparation plant as a major energy consumer.As washing and processing is an essential process link from coal mining to use,the carbon emission of coal preparation plant plays an important role in the carbon emission of coal production chain cluster enterprises in the whole life cycle.Therefore,how to define the carbon emission source and carbon emission boundary of coal preparation plant,solve the confusion of carbon emission factor value,make up for the missing accounting model and accurately predict the future carbon emission has become the basic fulcrum for coal preparation plant to achieve carbon reduction and emission reduction.On the basis of combing the academic research results in the field of carbon emission accounting and prediction of coal preparation plant,taking Taiyuan Coal Preparation Plant of Shanxi Coking Coal Group as the research object,referring to the latest carbon emission accounting and prediction systems and methods at home and abroad,and combined with the actual production conditions of Taiyuan coal preparation plant,the carbon emission source,carbon emission accounting boundary,various carbon emission accounting factors and key factors affecting its carbon emission are determined,The carbon emission accounting model of coal preparation based on life cycle assessment（LCA）and the carbon emission prediction model of coal preparation based on genetic algorithm neural network（GA-BP）are constructed.In this study,the annual carbon emission of the coal preparation plant from 2012 to2021 is calculated through the coal preparation information management system,and it is concluded that the overall trend of the carbon emission of the plant is stable and slightly lower,and the annual average carbon emission is 45255.7 tco₂e.Among them,the carbon emission of power resource consumption accounts for more than 90%of the production carbon emission of the whole plant.At the same time,the monthly data of ten years are divided into training data and verification data,which are respectively substituted into the coal preparation carbon emission prediction model based on GA-BP.The verification results show that the relative error of the prediction model is less than 3%,and the average relative error is 1.28%,which fully verifies the high consistency of the prediction model.By substituting the planned value of seven influencing factors in 2022 into the coal preparation carbon emission prediction model based on GA-BP,the predicted value of carbon emission of Taiyuan Coal Preparation Plant in 2022 is 38149.5 tco₂e.The coal preparation information management system realizes the five functions of system web login,home page,data management,report settlement and smart large screen Kanban,as well as the three functions of system mobile login,home page and application,realizes the whole life cycle management of collection,storage,integration,processing and display of basic data of carbon emission activities,and provides a solid data guarantee.The carbon emission accounting and prediction of the coal preparation plant has achieved the goal of upgrading the coal preparation data into coal preparation data assets by the coal preparation information management system,and finally improved the intelligence and digital intelligence level of the coal preparation plant.