Accident monitoring, anomalous event identifying and multi-dimensional analysis method

• Main Authors: ZHU BINGQUAN, CHEN JIAQIAN, WANG XIAO, YUAN CHUCHU, MO LIHUI, JIANG WENJI, WEI MEILAN, YAO ZHONGHUAN, ZHAO YUCHENG, YANG XINGCHAO, MO JIANGUO, LI YING, QIAN JIANGUO, SHI ZHENGCHAI, CANG YINING
• Format: Patent
• Language: Chinese; English
• Published: 20.11.2018
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention relates to an accident monitoring, anomalous event identifying and multi-dimensional analysis method and relates to an analysis method. As the construction of the power grid continues togrow and the number of power equipment increases, accurate and rapid analysis of faults and anomalies cannot be achieved. The method in the invention comprises the following steps: 1) establishment of a fault and anomaly rule base; 2) tagging analysis; 3) fault event identification; 4) anomalous event identification. The technical solution establishes an intelligent review mechanism by monitoringalarm information; the daily information is automatically tagged according to the information such as alarm level, monitoring operation information, maintenance and the like by using a data label technology; the effective alarm information is extracted; the fault and anomalous information corresponding to the information is identified from mass data in combination with the fault and anomalous information rule base; meanwh