Abstract
The traditional power grid ticket filling method has a large workload, low efficiency, and cannot achieve comprehensive and effective reference of historical tickets. This paper proposes a method of intelligent filling in a power grid working ticket based on a historical ticket knowledge base. Firstly, the historical ticket data are preprocessed, then the historical ticket information is mined by the association rule algorithm, and the method of establishing the historical ticket knowledge base is proposed. Based on the improved word bag model, an intelligent grid work ticket filling model is established based on the historical ticket knowledge base, and the correctness of the method is verified by an example. The results show that the accuracy of the proposed method is at least 18% higher than that of the traditional model, and the matching efficiency is 50% higher than the evaluation results of the three models based on semantic expressions. The method enables the identification and extraction of similar and associated work tickets, improves the efficiency of filling work tickets for power grids, and promotes the intelligence of the safety procedures for power grid operations.
Highlights
The historical work ticket of a power grid contains a lot of valuable information
To prove that the proposed intelligent filling method of power grid work tickets based on historical ticket knowledge base text mining can improve the filling efficiency, the historical work tickets of transmission and substation equipment overhaul in a Power Supply Bureau in 2020 are analyzed as an example, with a total of 2,542 work tickets
By analyzing the preprocessing of work ticket data and the establishment of a knowledge base, this paper constructs an intelligent filling model of power grid work tickets based on Intelligent Method of Power Grid the historical ticket knowledge base, and verifies the specificity and effectiveness of the proposed method combined with an actual power grid case
Summary
The historical work ticket of a power grid contains a lot of valuable information. The retrieval and utilization of the historical work ticket can effectively assist the filling of the power grid work ticket. The retrieval process of historical tickets includes obtaining historical tickets with similar names by inputting the name of the maintenance equipment, and the employees screen some work tickets based on their experience for reference. This retrieval method has a large workload, poor reliability, and low automation level. A method of intelligent filling of grid work tickets based on text mining of the historical ticket knowledge base is proposed. By analyzing the preliminary processing of historical ticket data and the establishment of a knowledge base, an improved two-layer bag-of-words model for intelligent filling of grid work tickets is constructed.
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