Defect and anti-measure false closed-loop judgment method and system based on planned work order

The invention discloses a defect and anti-measure false closed-loop judgment method based on a planned work order, and the method comprises the steps: receiving work order data submitted by a terminal user, and analyzing the work order data through a natural language processing technology; construct...

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Hauptverfasser: LI ANJUN, LI HUAPENG, LIU ANJIANG, DENG SONG, WANG MINGWEI, ZHANG HENGRONG, HE PENG, LONG QIUFENG, ZHANG YANG, PAN FUXIANG, ZHENG SHUYI, LI YUE, LYU QIANSU, GUO DAO, HE MINGJUN, LUO CHAOYI, WU CONGCONG, HAO SHUQING, LI QIANMIN, WU YINGSHUANG, HUANG RUYUN, HUA LONG, CAI YONGXIANG, YANG YEKUI, ZHANG SONG, FU YU, DAI JIYULEI, LI XINHAO, WANG ZHUOYUE, XIONG JINHANG, ZHOU XINAN, WU PENG, LIU LIANG, WANG ZHU, CHEN YU, WANG YANG, YANG ZHONG, LI WEI, DING JIANGQIAO, FAN KE, KIM GYEONG-WON, XIAO XIAOBING, BAN SHIXUE, MIAO YU, ZHENG YOUZHUO, WANG MIAN, ZHANG RUIFENG, SONG ZIHONG, CHEN KAILEI, HE XINYI, TIAN CHENG, TANG KANG, HE XIAOMENG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a defect and anti-measure false closed-loop judgment method based on a planned work order, and the method comprises the steps: receiving work order data submitted by a terminal user, and analyzing the work order data through a natural language processing technology; constructing a work order judgment model, comparing historical work order data, generating defect reports, and sorting the defect reports according to severity levels; based on the defect report, making improvement measures, and using a decision support system to optimize selection and scheduling of the measures; and updating the work order management system, carrying out deep analysis on the updated work order data, finally confirming true closing of a defect closed loop through a comprehensive evaluation module according to a deep analysis result, and generating a final report. By deeply analyzing the work order data, the accuracy and classification of problem identification are improved, historical and current data are d