Research On Energy Saving Optimization Of Coal Mine Transportation System Based On Predictive Control

As a big coal country in China,stable and efficient coal production is of great significance.Among them,the efficient and reliable operation of the coal mine underground transportation system is the key to the improvement of coal production efficiency in China.At present,the underground transportation system of coal mines is mainly operated at a constant speed.Although the efficiency of coal transportation can be guaranteed,the frequent underload or even no-load operation not only causes a lot of waste of electric energy,but also affects the service life of the belt conveyor,increasing the Cost of production.Therefore,the energy-saving optimization control of the underground coal conveying system has become an inevitable trend in the development of the coal industry.Firstly,starting from the research status of belt conveyors at home and abroad,the feasible methods of energy-saving and optimal operation of belt conveyors are determined;secondly,the operation mode of belt conveyors is analyzed.According to the actual environment of coal production,the traditional prediction model in order to solve the problems of poor integration effect and other problems,a belt conveyor prediction model based on GRNN neural network was proposed,and the operation strategy of energy saving and cost reduction was studied in combination with the time-of-use electricity price system.In order to overcome the problems of low modeling speed and difficult determination of hyperparameters,dynamic adaptive weights,Levy flight and greedy rule strategies are introduced to improve the Beetle Antennae Search algorithm,and 8 benchmark functions are used to test the performance of the Improved Beetle Antennae Search algorithm(IBAS).The IBAS algorithm is used to optimize the neural network parameters,and the IBAS-GRNN prediction model of belt conveyor is established.Then,the Model Predictive Control strategy is introduced to optimize the speed control of belt conveyor combined with IBAS-GRNN prediction model.MATLAB software is used to simulate the control algorithm,and comparative analysis with GRNN model and BAS-GRNN model is conducted.Finally,a coal mine transportation monitoring system with PLC as the control core is designed.The hardware needed for the system is selected,and King SCADA software is used to design the configuration interface.The simulation results show that the convergence speed and accuracy of the Improved Beetle Antennae Search algorithm are improved to a certain extent,the fitting degree of the IBAS-GRNN prediction model is better,the energy consumption and cost of the coal mine underground transportation system are reduced,and the goal of energy saving and cost reduction are achieved.This paper has 40 figures,9 tables and 71 references.