Ai-based vehicle diagnosis method, electronic device, and storage medium

The method of claim wherein determining the target question text corresponding to the information input operation in response to the information input operation on the information input window comprises:

• in response to the information input operation on the information input window, receiving a question text input by the information input operation to obtain a first question text;
• the first question text being a representation text of a natural language;
• extracting a first keyword from the first question text to obtain m first keywords, m being a positive integer;
• determining a target communication intent according to the m first keywords, wherein the target communication intent comprises one of the following:
• a chat intent and an inquiry intent;
• and
• converting the first question text into a text in a pre-set format according to the target communication intent and the m first keywords to obtain the target question text.

The method of claim wherein a server of the diagnostic device is deployed with a retrieval augmented generation (RAG) service, and analyzing the target question text with the target AI model pre-set in the diagnostic device to obtain the target diagnostic suggestion comprises:

• transmitting the target question text to the server to enable the serve to retrieve, through the RAG service, data related to the target question text, and obtaining first retrieval data from the server;
• fusing the first retrieval data and the target question text to obtain a target fused text;
• and
• analyzing the target fused text with the target AI model to obtain the target diagnostic suggestion.

The method of claim lor 2, wherein after displaying the target diagnostic suggestion in the second information-display-region, the method further comprises:

• obtaining target feedback data of a user for the target diagnostic suggestion;
• determining a target feedback type corresponding to the target feedback data, wherein the target feedback type comprises one of the following:
• a positive feedback type, a negative feedback type, and an opinion feedback type;
• and
• in response to the target feedback type being the opinion feedback type, optimizing the target AI model according to the target feedback data to obtain an optimized target AI model.

An electronic device comprising a diagnostic device, the electronic device comprising:

• a processor, a memory, a communications interface, and one or more programs stored in the memory and configured to be executed by the processor, wherein the programs comprise instructions which, when executed by the processor, cause the electronic device to implement:
• displaying a vehicle diagnosis main page of the diagnostic device, wherein the vehicle diagnosis main page comprises an AI auxiliary control;
• obtaining a target operating state of the diagnostic device, the target operating state comprising one of the following:
• a normal state and a diagnosis abnormality state;
• in response to the target operating state being the diagnosis abnormality state, displaying an AI diagnosis interaction page in response to a trigger operation for the AI auxiliary control, wherein the AI diagnosis interaction page has a first information-display-region, a second information-display-region, and an information input window;
• determining a target question text corresponding to an information input operation in response to the information input operation on the information input window, and displaying the target question text in the first information-display-region;
• analyzing the target question text with a target AI model pre-set in the diagnostic device to obtain a target diagnostic suggestion;
• and
• displaying the target diagnostic suggestion in the second information-display-region.

A non-transitory computer-readable storage medium, storing a computer program for electronic data interchange (EDI), wherein the computer program is configured to enable a computer to execute the following, the computer comprising a diagnostic device:

• displaying a vehicle diagnosis main page of the diagnostic device, wherein the vehicle diagnosis main page comprises an AI auxiliary control;
• obtaining a target operating state of the diagnostic device, the target operating state comprising one of the following:
• a normal state and a diagnosis abnormality state;
• in response to the target operating state being the diagnosis abnormality state, displaying an AI diagnosis interaction page in response to a trigger operation for the AI auxiliary control, wherein the AI diagnosis interaction page has a first information-display-region, a second information-display-region, and an information input window;
• determining a target question text corresponding to an information input operation in response to the information input operation on the information input window, and displaying the target question text in the first information-display-region;
• analyzing the target question text with a target AI model pre-set in the diagnostic device to obtain a target diagnostic suggestion;
• and
• displaying the target diagnostic suggestion in the second information-display-region.