Research Of Mine Hydrological Monitoring And Control System Based On LabVIEW

Mine hydrological monitoring and control system is an important subsystem of the mine safety monitoring and control system, which is responsible for the mine production safety. However, monitoring and early warning of hydrological parameters and underground drainage control were relatively independent in the present mine hydrological monitoring and control system. Besides, single switch control was usually adopted in the sump water level control. Hence, the system had weak real-time capability and reliability in handling the complex mine water inflow problem. In this thesis, in order to solve the above problems, research of the mine hydrological monitoring and control system has been done based on PLC and LabVIEW. Considering the characteristics of mine water inflow, BP neural network model is introduced into the prediction of water inflow.Firstly, the research status of the mine hydrological monitoring and control system is summarized and the system working principle is briefly analyzed. The mine hydrological monitoring and control system is designed on the basis of the system control requirements. Siemens S7-300PLC was taken as the underground control core and Lab VIEW as the ground monitoring software. According to the system scheme, the modular design of the PLC hardware and software was proposed. Meanwhile, the selections of pumps with associated motors and signal detection sensors are described in detail. Secondly, the BP neural network model of water inflow prediction is established in this thesis. After analyzing the influence factors of mine water inflow, hydro-geological conditions, geological tectonic feature, quantity of precipitation and area of exploitation are chosen as the BP neural network input nodes. Simulation is carried out in MATLAB to analyze the performance of the network. Finally, the software of the ground monitoring center is designed under the Lab VIEW platform with each functional module tested. The communication module is designed based on the TCP/IP protocol to achieve the real-time transmission of information between the ground monitoring center and underground PLC. A tabbed control method is adopted to design the multi-interface, which is convenient to use. In this part, how to apply the BP neural network model of mine water inflow prediction into the system with the hybrid programming of MATLAB and LabVIEW is mainly discussed.Simulation and test results show that the BP neural network can be used to realize the real-time prediction of mine water inflow, which can reach the excepted prediction accuracy. The mine hydrological monitoring and control system designed in this thesis has high reliability and real-time performance and can meet the system design requirements. The research of the thesis has an important significance on the study of mine hydrological monitoring and control system.