Study On The Coal Mine Electrical And Mechanical Equipment Group Of Abnormal Operation Condition Identification And Early Warning Network System

Ventilation machine, belt conveyor and other large mechanical is the keyequipment of coal production, plays an important role in the coal mine productionsafety. The event of equipment breakdown, it may affect the yield, or even causingsignificant casualties. Therefore, large key equipment safety, stable operation is notonly related to the economic benefits of the mine, but also related to the mine safetyand the social harmony. In this paper, the actual situation of the coal production,proposed and completed research and design of a coal mine group of large-scalemechanical and electrical equipment abnormal operation status recognition and earlywarning systems.Firstly, this paper analysis of the current domestic and international researchstatus of equipment condition monitoring, presents the research purpose andsignificance. And the large mechanical and electrical equipment common fault of themachine were analyzed, determine the system to monitor the operation state ofcharacteristic quantities, then the function of the monitor system and the wholestructure is described, pointing out system dependence theory.This article describes the short-range, low-power ZigBee wirelesscommunication technology, the hardware of the wireless sensor network nodesdescribed in detail, and a detailed analysis of the formation of the ZigBee network anddata transceiver. Building three objects associated network (WSN Node-base station-monitoring host), meet the mine production site simplified wiring requirements.Theoretical analysis on fuzzy systems and neural networks, combined with theadvantages of both fuzzy neural network. Combined with the actual situation of mechanical and electrical equipment group, gives the BP fuzzy neural network statemonitoring system concrete realization process.Finally, this paper describes the system software implementation process.Through the MCGS configuration software in combination with MATLAB performedon PC screen monitoring system construction, establish a complete equipment statusmonitoring system. Staff via the PC configuration screen in real time to understand themechanical and electrical equipment operating status, make a correct evaluation of theequipment and modern management of coal mining equipment.