Task type automobile fault intelligent question-answering system based on knowledge graph

Abstract

The invention belongs to the technical field of automobile fault diagnosis, and discloses a task-based automobile fault intelligent question-answering system based on a knowledge graph, and the system comprises a user interaction unit which collects user fault maintenance query information and after-sales question-answering information, and displays a system feedback result to a user; the graph knowledge base is used for storing an automobile fault maintenance knowledge graph and an online question and answer knowledge graph; the fault maintenance query unit is used for constructing a maintenance scheme and a maintenance case from the content of the graph knowledge base on the basis of fault maintenance query information from the user interaction unit, and feeding back the scheme and the case to the user interaction unit for display; and the intelligent question and answer unit analyzes the after-sales question and answer text from the user interaction unit, calculates an optimal answer through an intelligent algorithm based on the content of a graph knowledge base, and feeds back the optimal answer to the user interaction unit for display. The system achieves the intelligent maintenance consultation of the automobile fault, improves the positioning capability of the automobile fault problem, enables the after-sales consultation to save manpower, and improves the service quality of the industry.

Description

technical field [0001] The invention belongs to the technical field of automobile fault diagnosis, and in particular relates to a task-based intelligent question answering system for automobile faults based on a knowledge graph. Background technique [0002] A knowledge graph, in essence, is a semantic network that reveals the relationships between entities. The knowledge graph can be divided into two levels: the schema layer and the data layer in the logical structure. The data layer is mainly composed of a series of facts, and knowledge will be stored in units of facts. The storage method is usually stored in the form of triples (entity 1, relationship, entity 2) or (entity, attribute, attribute value), and the storage method is generally a graph database. [0003] With the rise of big data artificial intelligence, the emergence of knowledge graph has extended the previous graph theory and accelerated the development of conversational intelligent question answering system...

AI Technical Summary

Problems solved by technology

The present invention uses a task-based intelligent question-and-answer system, relies on the knowledge map, accurately locates the car owner's problem about car maintenance, and then gives a solution, which solves the intelligentization of car fault maintenance consultation and improves the positioning ability of car fault problems in consultation. Save manpower for after-sales consultation, greatly shorten the time of after-sales service, and improve the service quality of the industry

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