Research On Signal Processing And Quantitative Method Of Wire Rope Defects Based On LabVIEW

As a key load-bearing component in the industrial production process,steel wire ropes will have defects such as broken wires,wear and corrosion,which are directly related to the safety of life and property.For this reason,wire rope magnetic flux leakage non-destructive testing instruments have appeared one after another.However,due to the complexity of the wire rope’s own structure and the running state of the oscillating vibration,the flaw detection signal has the phenomenon of large noise and the defect signal is easy to be submerged,which undoubtedly increases the difficulty in the identification and accurate evaluation of the wire rope magnetic flux leakage detection signal.In addition,there is also a lot of research space for subsequent software system development and real-time storage and playback of large amounts of data.Therefore,it is of great significance to carry out signal noise reduction processing,defect quantitative identification and software system development for wire rope magnetic flux leakage non-destructive testing.First,the wire rope detection signal is processed for signal noise reduction.Aiming at the detection conditions where the amplitude of the defect signal is hidden in the high-speed vibration and noise,a signal processing method based on wavelet transform and morphological filtering is proposed to realize the defect signal High signal-to-noise ratio acquisition.Secondly,a quantitative defect identification study was carried out.Aiming at the scientific and technical problems that the evaluation comparison threshold is too high and there is no comparison sampling point and the evaluation comparison threshold is too low,the low-amplitude noise sampling point is likely to occur,and a multi-level automatic threshold based on regional statistics is proposed.Adjusting the accurate evaluation algorithm finally realized the accurate setting of the multi-level evaluation comparison threshold under the background of large noise.Furthermore,the calculation method of the number of broken wires in the twist length of different rope diameters and the calculation method of the cross-sectional area loss percentage based on the voltage amplitude change calibration method are studied.Thirdly,the software system is further developed for the above methods,and the overall frame structure of the magnetic flux leakage detection software system with Web remote monitoring function with STM32 as the acquisition system and Lab VIEW as the software platform is designed according to the field requirements,and the signal processing methods and defects are designed.The quantitative method is transplanted to the software system.A method of timing storage of large data files based on TDMS files is proposed,which finally realizes real-time and stable data transmission,and gives the report analysis results combining accurate position information and defect information,which provides an intuitive judgment basis for wire rope inspection.Finally,a test verification was carried out,and an experimental platform was built to test the function of the detection system.The test results show that the functions of each part of the system are operating normally,with high stability,real-time and reliability,and the system is applied to field practice to meet the actual requirements.Testing needs.