The Design and Realization of Energy-saving Intelligent Monitorring System of Mine Air Compressors
|School||University of North|
|Course||Mechanical Manufacturing and Automation|
|Keywords||Air compressor Fuzzy PID Intelligent optimization Energy-saving control PLC|
Air compressor is one of main power equipments in the mine production, whichprovides the power source for the whole mine pneumatic equipment. The reliability and safetyhave a direct impact on the normal production and economic benefits. Currently, there are stillsome issues about the mine air compressor, such as low degree of automation. The linkage ofthe air compressor unit achieved by manual work, the slow speed to adjusts the pressure andlow control accuracy will result in many questions, such as high labor intensity, low systemefficiency and waste of energy, bad impact on service life of air supply equipment and so on.In addition, mine air compressor is large rotating machinery, it will cause serious personalinjury or economic loss once an accident occurrs. So the realization of intelligent controllingof the state of the air compressor can have direct economic and social benefits.The background of this paper is the projects of "Compressors intelligent regeneration "of Shaqu Preparation Plant affiliated with Huajin Coking Coal CO.,LTD, By analyzing thecompressor operating principles, we designed a mine air compressor intelligent monitoringstrategy based on optimization strategy of fuzzy control and fuzzy PID control algorithm.Combined with PLC, frequency converter and RSVIEW32PC software, we developed an aircompressor remote monitoring system. The intelligent monitoring strategy principle is asfollows. First of all, the three coefficients of fuzzy self-tuning PID controllers can be obtainedaccording to manifold pressure deviation and the deviation rate of change; then conventionalPID controller can calculate the incremental and transfer control to the intelligentoptimization strategy based on the latest three control coefficient, pressure variation anddeviation calculated rate of change; finally, in the smart optimization strategies,we cancalculate the number of compressor stations and the running way using control increment andthe output frequency. Through fuzzy control,we can obtain the number to start or stop thecompressor and the inverter output frequency variation of air combined with the return signal of the air compressor, the total run time and the stop time. Thus, we can realize the automaticadjustment of manifold pressure and wheel control program running on the air compressor.Meanwhile, a method for extracting features was designed based on the lifting wavelet noisereduction and fault feature LMD, which can analyze air compressor status signals. The aircompressor rotor vibration signal inevitably mixed with some interference signals, sofirstly,it is necessary to employ lifting wavelet to denoise and improve the signal-to-noiseratio of the vibration signal. Then we can get the vibration signal of each frequencycomponent by the LMD. At last, we analyze its frequency domain and extract the faultinformation. It was turned out that the method was effective by the matlab softwaresimulation and experiments.After the transformation, the air compressor supply system was stable, the outputvoltage was stable, the no-load operation decreased, the air compressor running time wasuniform, the start-up current was smooth. The results showed that this system had goodpractical value.