Oprimization And Energy Saving Of Coal Conveying System In Underground Coal Mine

Coal mine underground coal transportation system is one of the important coal mine systems.The efficient and reliable operation of coal transportation system is the key to coal mine operation.Operating under the traditional control mode,the coal transportation system is usually in a state of underload operation,and high energy consumption not only causes waste of energy,but also further increases the production cost of coal enterprises.Optimizing the operation mode of the coal transportation system can reduce production costs and increase product competitiveness.First,the research background is explained,and it is pointed out that the transportation cost of coal mines is relatively high,and at the same time there is a relatively large room for decline compared with foreign countries.The current status of research on electrical control and optimization strategies of underground coal transportation systems in coal mines is explained,and problems in domestic coal transportation systems are described.In view of the actual situation of low automation of coal transportation systems,optimization strategies and control systems,etc.It is proposed to make improvements.In order to further reduce production costs,combined with the basic policy of time-of-use electricity prices,the operation mode was further optimized.Secondly,the resistance of the belt conveyor is analyzed,and the power consumption model of the belt conveyor is established through the resistance analysis.Combined with the time-sharing electricity price,the minimum cost optimization objective function in the 24 h time period is established.Using the existing historical data,the energy consumption model is identified by the Gauss-Newton method,and an accurate mathematical model is obtained.Then,the system energy-saving optimization strategy is studied,and the optimal speed of the belt conveyor is solved through model predictive control.In order to reduce the time of model predictive control solution,RBF network is introduced,and the improved RBF network is trained using the optimized speed.The trained RBF network can quickly solve the optimization speed through variables such as coal production and time-sharing electricity price.Next,the energy-saving optimization control strategy of the coal transportation system is simulated.The simulation results show that the energy consumption model obtained through parameter identification has high accuracy and can be used in the optimization process.At the same time,the optimized speed of the solution can make full use of the coal bunker capacity and the time-sharing electricity price,reduce the transportation cost,and prove the feasibility of theoptimization strategy.Finally,a coal transportation control system based on PLC is designed.Complete hardware design and monitoring system design.The thesis has 30 pictures,10 tables,and 60 references.