Research On The Control Strategy Of Mine Drainage

Our country’s coal mining enterprises and scientific research institutes have been actively exploring the road to intelligence,and the research on mine water inflow has always been one of the focuses.Generally,the long-term water inflow prediction method is studied,and the short-term water inflow prediction is less.Therefore,it is not suitable for predicting the start and stop control of the drainage pump.Relying on the high and low water level information to implement the start-stop strategy for the pump,the time-of-use electricity price cannot be used well and the electricity cost can be saved.This article will study and analyze the problems of poor automation of traditional mine drainage systems,high electricity costs,and non-sharing of information between systems.First of all,the source of the mine water gushing,the working principle of the drainage system,and the analysis of possible energy-saving measures are discussed.Secondly,because a large amount of water inflow in the mine will bring certain consequences to the safety of underground production,it cannot be ignored,so this paper studies the mine water inflow prediction method based on SVR by the longhorn beard search algorithm,and uses MATLAB programming to predict,Through the comparison of the curve comparison between SVR and the optimization of SVR prediction result using the beetle search algorithm,it is determined that the BAS-SVR has an advantage in the prediction compared with the traditional support vector regression.Thirdly,because the drainage system of the mine consumes about 20% of the electricity in the entire coal mine,saving electricity expenditures for drainage can save the overall operating costs of the coal mine.Therefore,this paper transfers the peak load as much as possible to other periods to reduce the consumption.Electricity cost.Using Dijkstra’s algorithm,select the most suitable pump scheduling plan for each stage,reasonably plan the start and stop of the pump throughout the day,and save electricity expenses.Finally,build an experimental platform in the laboratory for simulation,build a configuration software platform for the host computer,automatically select the optimal scheduling of the pump,and control the start and stop of the pump.At the same time,it also collects the electricity meter connected to the drainage equipment in real time and reads the data from it.While saving the data for subsequent viewing,it displays the real-time data curve in the configuration interface and compares it with the previous curve of the same day type for timely discovery The drainage status is abnormal,which plays a good role in monitoring the drainage system.Build an experimental platform in the laboratory for verification.This paper can realize the automatic start and stop of the drainage system according to the water pump scheduling strategy that saves the electricity cost,and use the water level and power consumption to do real-time monitoring to ensure the normal operation of the system.