Design and Optimization of a Computer Motherboard Functional Test Platform
This article aims to design and optimize a computer motherboard function testing platform to improve testing efficiency and data processing capabilities,by introducing FPGA parallel processing technology and intelligent discrimination algorithms based on decision trees,the problems of low automation and insufficient data utilization in existing platforms can be solved.A comparative test was conducted between the traditional platform and the optimized platform on 100 motherboards,and the results showed that the optimized platform significantly improved testing time,data processing speed,and fault detection accuracy.Optimizing the platform not only reduces testing cycles,but also enhances fault recognition capabilities,providing reliable technical support for motherboard testing.
万方数据
维普
