In order to build a real-time intelligent analysis rule base of distribution network monitoring information, a construction method of intelligent analysis rule base of distribution network monitoring information based on machine learning is proposed. All the monitoring rule heads in the rule base are sorted and set as the main chain, and the rules are imported into the linked list to generate the rule set, so as to ensure that each monitoring information packet has an analysis rule; the machine learning based fault data classification method of distribution network is used to identify the fault data in the monitoring information of distribution network, and extract the frequent item sets of fault data. The parallel incremental updating algorithm of association rules based on MapReduce is used to update the information intelligent analysis rules in the analysis rule based, so as to ensure the real-time performance of the information intelligent analysis rules in the analysis rule base. The experimental results show that the accuracy and the average detection rate of the proposed method are greater than 0.97, and the false positive rate is 0.01. The proposed method can identify the real-time fault information of the distribution network monitoring system in time, and ensure the real-time updating of information intelligent analysis rules.
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Xie et al. (2024) studied this question.