基于并行计算技术的试验报告诊断信息挖掘系统设计  

Design of diagnostic information mining system of test report based on parallel computing technology

作　　者：赵超 文屹 吕黔苏 张迅 文华 王冕 范强 ZHAO Chao;WEN Yi;LYU Qianshu;ZHANG Xun;WEN Hua;WANG Mian;FAN Qiang(Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.,Guiyang 550002 Guizhou,China;China Southern Power Grid Shenzhen Digital Grid Research Institute Co.,Ltd.,Shenzhen 518000,China)

机构地区：[1]贵州电网有限责任公司电力科学研究院,贵州贵阳550002 [2]南方电网深圳数字电网研究院有限公司,深圳518000

出　　处：《电力大数据》2021年第10期45-52,共8页Power Systems and Big Data

摘　　要：为了提升诊断信息的挖掘效率,保证试验报告诊断信息完整性,优化设计试验报告诊断信息挖掘系统。改装通信网络、存储器和模数转换器件,加设并行处理器设备,并通过系统电路连接各个硬件设备。将试验报告数据和诊断信息分类存储在数据库中,在硬件和存储器的支持下,分析试验报告诊断工作模式,预处理实时产生的试验报告诊断初始数据。生成信息挖掘关联规则,在该规则下,利用并行计算技术划分试验报告诊断信息类型,完成试验报告诊断信息并行挖掘。实验结果表明:该系统的挖掘速度更快,且挖掘完整性提高了8.1%,最大限度地利用试验报告信息。In order to improve the efficiency of diagnosis information mining,ensure the integrity of test report diagnosis information,optimize the design of test report diagnosis information mining system.Refit communication network,memory and analog-to-digital converter,add parallel processor equipment,and connect various hardware equipment through system circuit.The test report data and diagnosis information are classified and stored in the database.With the support of hardware and memory,the working mode of test report diagnosis is analyzed,and the initial data of test report diagnosis generated in real time is preprocessed.The association rules of information mining are generated.Under the rules,the diagnostic information types of test reports are divided by parallel computing technology,and the parallel mining of diagnostic information of test reports is completed.The experimental results show that the mining speed of the system is faster,the mining integrity is improved by 8.1%,and the maximum use of the test report information.

关 键 词：并行计算技术 实验报告 诊断信息 信息挖掘系统 通信网络 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]