Agricultural machinery fault identification method based on association rule directed acyclic graph

Abstract

The invention provides an agricultural machinery fault identification method based on an association rule directed acyclic graph. The agricultural machinery fault identification method can increase the classification accuracy rate of agricultural machinery fault data, and has the rapid matching and self-growing advantages. The agricultural machinery fault identification method comprises the steps of: extracting fault environmental information, fault type information and fault processing information from historical fault maintenance data, representing each piece of fault data by a transaction to obtain a transaction set corresponding to a fault maintenance data set, establishing one or more corresponding association rules for each transaction, and acquiring an association rule set of the transaction; combining the association rule sets into a directed acyclic graph comprising the fault environmental information, the fault type information and the fault processing information by utilizing a directed acyclic graph structure; and adopting a search mode of the directed acyclic graph when new fault information enters the system, and finally acquiring fault processing information able to know for maintenance through inputting the fault environmental information.

Description

technical field [0001] The invention relates to a method for identifying faults of agricultural machinery, in particular to a method for identifying faults of agricultural machinery equipment using historical fault data and real-time working condition data for data mining. Background technique [0002] With the continuous development of modern agriculture, the number of agricultural machinery used for agricultural production is increasing, and the area of ​​agricultural machinery operation is becoming wider and wider. For agricultural machinery, its operations have the characteristics of cross-regional, long-distance, and field operations. When an agricultural machinery failure occurs during the use of the agricultural machinery, the maintenance service center is usually contacted manually, and the service center arranges the service network to send maintenance technicians to the scene of the agricultural machinery failure for technical services. Since technicians usually c...

AI Technical Summary

Problems solved by technology

[0004] At present, in practical applications, due to the relatively complex association rules obtained from massive data mining, and the relationship between these rules is difficult to directly reflect in the rule structure, it will be very cumbersome to perform fault matching based on association rules. In large cases, the time complexity of rough matching one by one will be very high, which leads to inefficient application of rules

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