Study On Data Acquisition And Analysis System Of DYJ900 Transporting Machine Based On Virtual Instrument

Heavy machinery of DYJ 900 type,which integrates the hoisting,moving and positioning functions,has been widely used in the construction of high-speed railway.It requires high reliability and safety for these machines since they are subjected to high loadings and work in various environments.Poor state of the machine and wrong operations may lead to disasters.Therefore,it is very important to monitor the state and operation of the machine in real-time manner and meet the mandatory requirements of relevant national standards and industrial standards at the same time.Accordingly,development of data acquisition and analysis system(SCADA)and edge computation system which is able to monitor,warn,not only helps improve the safety and operation efficiency,but also provides data for future smart maintenance.This paper focuses on the research of the construction of SCADA system for DYJ 900 integrated machine.The weak links and the location of the data acquisition point of the equipment machinery and power system are determined by analyzing the unsafe factors of the mechanical structure,the power transmission system and the driving units.It provides theoretical support for the construction of hardware platform according to the unsafe factors,and based on that,the functional requirements of the system are defined to build the data acquisition subsystem.The research of the key modules including data processing method,fault diagnosis,virtual and real combination are made by means of finite element analysis,typical fault simulation,and semi-physical simulation based on different subsystems.The main research contents are as follows:1.For the mechanical structure,the positions that need to be monitored are defined by using finite element analysis(FEM).The study for this module includes the design of data acquisition system,the data processing and historical data analysis and the real-time fault warning and information display,et al.2.Data acquisition methods for the core parts,i.e.,rolling bearings and gears of the power transmission units are introduced as well as the methods concerning the time-frequency analyses of vibration signals.The module for the power transmission units focuses on the fault diagnosis and warning.To realize such functions,BP neural network method is adopted which is trained by using the data of the failure samples of bearings and gears from the databases of the Case Western University,and the University of Connecticut,respectively.3.Failure simulations on the hydraulic systems of the driving units have been made using software AMESim,and the simulation results are used to form the library of failure samples.The diagnoses are made by comparing the data of the failure sample library with the analysis results from the data of measurement.4.In the virtual simulation section,real-time displays of the operating status of equipment in virtual prototype of the system are realized by virtual simulation scheme design and semi-physical simulation.The deformation of the equipment structure is visually displayed in the three-dimensional model by means of virtual mapping,so as to improve the visualization of the security status.This study adopts Lab VIEW programming language to develop the system.Semi-physical simulation platform,the importing of typical fault signal and virtual data acquisition card were used to verify the core function of the data acquisition and analysis system.The experimental results verify the real-time performance and reliability of the system.The data acquisition and analysis system of the integrated machine built and developed in this study are of positive significance to evaluate the safety status and operation and maintenance of the equipment.