Work order information processing method, device and equipment and storage medium

Abstract

The invention relates to the technical field of artificial intelligence, is applied to the field of smart government affairs, and provides a work order information processing method, device andequipment and a storage medium, which are used for improving the efficiency of abnormal work order identification and processing. The work order information processing method comprises the steps: carrying out target abnormal work order field selection and data cleaning on a historical work order information table, and obtaining to-be-processed data, wherein the historical work order information table comprises an information piece table, an information provider table, a related subject table and a related customer body surface; training a preset initial decision tree work order recognition model through the to-be-processed data to obtain a target decision tree work order recognition model; performing target abnormal work order field analysis on the to-be-processed work order information through a target decision tree work order identification model to obtain a work order analysis result; and executing a business process corresponding to the target business process information corresponding to the work order analysis result. In addition, the invention also relates to a block chain technology, and the historical work order information table can be stored in a block chain.

Description

technical field [0001] The present invention relates to the field of intelligent decision-making of artificial intelligence, in particular to a method, device, equipment and storage medium for processing work order information. Background technique [0002] With the development of information technology and Internet of Things technology, the data processing of work orders has also increased, and the data processing of abnormal work orders is of particular concern. At present, the processing of abnormal work orders generally adopts the method of distinguishing abnormal work orders from ordinary work orders, and performing text classification and analysis on the differentiated and processed abnormal work orders. [0003] However, due to the huge size of the abnormal work order, the fixed text classification strategy, and the dynamic change of the characteristics of the work order, there is a lack of flexible correlation analysis and the analysis of the rules of compounding mul...

AI Technical Summary

Problems solved by technology

[0003] However, due to the huge size of the abnormal work order, the fixed text classification strategy, and the dynamic change of the characteristics of the work order, there is a lack of flexible correlation analysis and the analysis of the rules of compounding multiple attributes, and the text classification strategy is difficult to adapt to flexibility. Changeable complaint strategies, low processing efficiency, resulting in low efficiency of abnormal work order identification and processing

Images