Research On Key Technology And Development Of Remote Diagnosis System For Stage Equipment

Since the reform and opening up,China’s industrial modernization has been gradually advanced,and the industry with large machinery as a production tool has flourished.However,due to the slow development of China’s mechanical fault monitoring technology,mechanical failures frequently occur,resulting in a large number of casualties and property losses.If the cause of the fault and the location of the fault are known by some means of monitoring before the mechanical failure occurs,the accident can be effectively avoided.Therefore,it is extremely urgent to research and develop a mechanical safety operation monitoring system with superior performance and accurate analysis results.The monitoring system must not only have good stability and friendly human-computer interaction capabilities,but also have the functions of collecting,storing,querying,processing,displaying and uploading vibration data.In order to achieve the above requirements,on the one hand,the system uses the embedded chip STM32F103C8T6 as the main control unit,and cooperates with the high-precision digital three-axis acceleration sensor ADXL372 to form the hardware core,and adds data storage,wireless communication,data display and other modules in the hardware circuit.On the other hand,thesis machine faults are mostly common mechanical faults and have certain research value.Therefore,this thesis takes papermaking machinery as the research object,summarizes the corresponding data processing algorithms,and selects μC/OS-Ⅱ embedded operating system as the system.The software platform relies on its powerful computing power to carry data processing algorithms,write programs,schedule hardware resources,and efficiently complete tasks.The vibration signal monitored by this system is a non-stationary,time-varying complex signal.If you want to accurately analyze such complex signals,the simple time-frequency domain method obviously cannot meet the requirements.Therefore,this thesis deeply studies the decomposition process and characteristics of LMD method,discusses the problems of "endpoint effect" and "iterative termination condition",and proposes an improved scheme,and then uses this method as the processing algorithm of system single-axis signal;since this system can collect Three-axis data,usually there are coupling and redundancy between multi-channel signals,and the triaxial data processed by fusion is more analytical value.Therefore,based on the research of EMD method,this thesis proposes the basis of MEMD and holographic spectrum technology.Three-axis data processing method.This method combines the advantages of the EMD method and the holographic spectrum technology.It can fuse any two-axis data and reflect the fault information contained in the amplitude and phase of the vibration signal through the axial trajectory under different frequency characteristics.Finally,the feasibility of the development system is verified by analyzing the actual mechanical vibration signal.The accuracy of the proposed algorithm is verified in the Matlab environment.