Vehicle maintenance data processing method, device and system
A data and maintenance technology, applied in the computer field, can solve problems such as reducing system bandwidth and database resource utilization, and achieve the effect of increasing system bandwidth and reducing scope
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Embodiment 2
[0096] see figure 2 , the first aspect of the embodiment of the present application shows a method for processing vehicle maintenance data, the method comprising:
[0097] S101 Acquire business line data, where the business line data includes: user query data, and internal maintenance data;
[0098] In terms of internal maintenance data, the embodiment of the present application shows the application platform server. Faced with multiple application programs, each application program corresponds to a data channel; for user query data, the user query data can be determined through the APP selected by the user. channel.
[0099] S102 Mark the business data according to the acquisition path of the business data, obtain marked data, and store the marked data, wherein each piece of marked data is configured with a label;
[0100] The method shown in the embodiment of this application marks the business data through the acquisition channel of the business data to ensure that each ...
Embodiment 3
[0107] In order to further improve the data search speed of the method shown in the embodiment of the present application, the embodiment of the present application shows a data clustering method. For details, please refer to image 3 ;
[0108] Embodiment 3 has similar steps to the method shown in Embodiment 2. The only difference is that step S103 in the technical solution shown in Embodiment 2 includes the following steps:
[0109] S1031 Based on the tags, cluster the labeled data into a corresponding program database to obtain clustered data;
[0110] For example: U2C official program corresponds to channel 1, auto resume program corresponds to channel 2, Pandora corresponds to channel 4...
[0111] Cluster labeled data with channel 1 labels into the U2C formal program database;
[0112] Cluster labeled data with channel 2 labels into the automotive resume program database;
[0113] Cluster labeled data with channel 4 tags into Pandora database;
[0114] S1032 Capture ...
Embodiment 4
[0124] In order to further shorten the time for user information search, further shorten the waiting time of the application platform server, and the utilization rate of resources such as system bandwidth and database. The embodiment of this application shows a method for word segmentation and semantic analysis of data. For details, please refer to Figure 4 :
[0125] Embodiment 4 has similar steps to Embodiment 3, and the only difference is that step S1031 in the technical solution shown in Embodiment 3 includes the following steps:
[0126] S10311 cutting the clustered data to obtain the cut data;
[0127] Cut the clustered data to obtain the cut data in units of words or words;
[0128] S10312 Based on the cut data, traverse the root database of maintenance words, determine display data, and store the display data.
[0129] The scheme shown in the embodiment of this application form stores vocabulary, phrases, and fields about vehicle maintenance in the maintenance root...
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