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Implementation Of High-speed/Low-cost Industrial Wireless Data Acquisition And Processing System For Machining Process Monitoring

Posted on:2020-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y YuFull Text:PDF
GTID:2381330572484203Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
As the core technology and pillar of manufacturing industry,advanced manufacturing technology plays an increasingly important role in the fields of aerospace,military industry and automobile.Among them,intelligent tool is the most important part of advanced manufacturing technology.the actual production efficiency and quality are less than half of the theoretical value because of the inaccurate grasp of the processing status of traditional equipment.Accurate understanding of the cutting state of the tool can effectively improve the cutting efficiency,reduce the rate of defective parts,and prevent the shutdown or even greater safety accidents caused by tool wear or even damage.In recent years,how to grasp the machining state of tools in real time,accurately and quickly has become a key difficulty for scholars at home and abroad.The traditional intelligent equipment data acquisition system mostly adopts wired transmission mode,which has the characteristics of short transmission distance,slow transmission speed,low transmission efficiency,and can not grasp the processing status quickly and accurately.Wireless transmission not only has the advantages of high transmission speed,long distance and high efficiency,but also can realize simultaneous communication between multiple devices.It has a wide application space in intelligent equipment signal monitoring system.The major work in this paper is following:An industrial wireless data high-speed acquisition and processing system with a high frequency signal of 50KHz-150KHz is designed,which can process and analyze the micro-processing status data in real time and continuously.The whole architecture consists of two parts:the upper computer and the lower computer;the lower computer takes STM32(ARM Cortex-M3)as the control core to collect data and transmits it to the upper computer through wireless protocol;the upper computer uses a platform based on Linux system to receive data,and realizes real-time data acquisition,storage,processing analysis and graphical visualization.In order to improve the transmission speed of the system,the data of the lower computer is transmitted between modules by DMA mode and sent to the upper computer through the standard protocol of IE802.1 lb.The upper computer uses double image analysis and display of time and frequency domain features,and uses fast Fourier transform(FFT)based on butterfly algorithm to process signals,which improves the processing speed of signal frequency domain characteristics.The system has the advantages of small size,low cost,high flexibility,low power consumption and high efficiency.It can be widely used in intelligent manufacturing and equipment design in the future.In order to verify the performance and reliability of the whole system,the transmission performance,image quality in time domain and frequency domain and error rate of the system are calculated and verified by collecting 50-150 KHz random waveform signal and rectangular waveform signal.Experiments show that the monitoring system has excellent ability to collect,process and analyze high frequency signals from 50KHz to 150KHz.The overall transmission time is less than 2S and the transmission error is less than 3%.It can quickly and accurately reflect changes in the state of the process.The system is used to monitor the micro-machining process of silicon wafer,and the effects of spindle speed and feed speed on acoustic emission signals during the processing of brittle materials were studied.In addition,the correlation between the acoustic emission signal and the processing state of the brittle material during processing was analyzed.
Keywords/Search Tags:Wireless High Speed Transmission, Linux Embedded System, Micromachining, High Frequency Signal, Low Cost
PDF Full Text Request
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