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作 者:姜楠 谭艳鹃 王楚珺 李翔 JIANG Nan;TAN Yanjuan;WANG Chujun;LI Xiang(Beijing Institute of Computer Technology and Applications,Beijing 100000)
机构地区:[1]北京计算机技术及应用研究所,北京100000
出 处:《软件》2024年第11期148-150,共3页Software
摘 要:本文旨在设计与优化计算机主板功能测试平台,以提高测试效率和数据处理能力,通过引入FPGA并行处理技术和基于决策树的智能判别算法,解决现有平台自动化程度低和数据利用不足的问题。在100块主板上进行传统平台与优化平台的对比测试,结果表明优化平台的测试时间、数据处理速度和故障检测准确率有显著提升。优化平台不仅减少了测试周期,还增强了故障识别能力,为主板测试提供了可靠的技术支持。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.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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