A data mining processing method suitable for electric vehicle charging faults

Abstract

The invention relates to a data mining processing method suitable for charging faults of electric vehicles. By inputting its output into a data mining model of the running state of charging facilities, complex data is simplified, an appropriate data mining scheme for charging facilities is selected, and a reasonable design is achieved. The data mining model analyzes the characteristics of safety fault data, displays the data mining results, analyzes the characteristics of safety fault data, establishes an integrated fault tree of charging facilities, and analyzes the relationship between fault sources at each layer and specific fault types by extracting rules. Among them, the improved bad data screening algorithm removes the errors caused by the random generation of reference number sets and the use of sample estimation in the original gap statistical algorithm, so that the statistics can reflect the facts more objectively. The algorithm also does not need to perform sample estimation and calculate the standard deviation and simulation error, which reduces the computational complexity of the algorithm, improves the calculation speed of the algorithm, and enhances the practicability of the algorithm.

Description

technical field [0001] The invention belongs to the technical field of charging equipment data processing, in particular to a data mining processing method suitable for electric vehicle charging faults. Background technique [0002] Compared with traditional fuel vehicles, electric vehicles are environmentally friendly and noiseless. The development of electric vehicles can help alleviate energy shortages and environmental pollution. The popularization of electric vehicle charging piles is the premise of electric vehicle development. When the charging pile is in working state, massive data will be generated. The various data types and attributes of the initial data set are diversified, which brings difficulties to the subsequent statistics and analysis of the data. At the same time, the frequent occurrence of electric vehicle charging safety accidents, especially the failure of charging facilities, not only affects the property safety of electric vehicle users and operators,...

AI Technical Summary

Problems solved by technology

When the charging pile is in the working state, massive data will be generated. The various data types and attributes of the initial data set are diversified, which brings difficulties to the subsequent statistics and analysis of the data.

At the same time, electric vehicle charging safety accidents, especially charging facility failures, occur frequently, which not only affects the property safety of electric vehicle users and operators, but also restricts the development of the electric vehicle industry to a certain extent.

Therefore, how to use data mining technology to analyze the safety and fault characteristics of charging facilities has become the development trend of electric vehicles, but now it is only an idea, and it has not been able to perform calculations

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