Data sharing method and system for smart city
A data sharing and data technology, which is applied in the field of data sharing methods and systems in smart cities, can solve the problems of low data sharing efficiency, and achieve the effect of solving the low efficiency of data sharing, speeding up the speed, and effectively integrating scattered data
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Embodiment 1
[0029] Such as figure 1 As shown, the embodiment of the present application provides a data sharing method for a smart city, wherein the method includes:
[0030] Step S100: Obtain format information of the first data;
[0031] Specifically, the first data is specific basic data information in the smart city system, such as traffic information, various pipeline information, building information, business information, etc., which are not specifically limited here. The format information of the first data may specifically be a picture format, a text format, an audio format, a video format, and the like. After the first data is acquired, its format information is obtained, and a preliminary classification is performed on the first data according to the format information of the first data, so as to improve the efficiency of data processing, thereby achieving the effect of improving the efficiency of data sharing.
[0032] Step S200: Obtain content information of the first data;...
Embodiment 2
[0077] Based on the same inventive idea as a data sharing method for a smart city in the foregoing embodiments, the present invention also provides a data sharing system for a smart city, such as Figure 7 As shown, the device includes:
[0078] A first obtaining unit 11, configured to obtain format information of the first data;
[0079] A second obtaining unit 12, configured to obtain content information of the first data;
[0080] The first input unit 13, the first input unit 13 is used to input the format information and the content information of the first data into the training model, wherein the training model is obtained through multiple sets of training data training, and the multiple Each group of training data in the group includes: format information and content information of the first data, and identification information used to identify the category of the first data;
[0081] A third obtaining unit 14, the third obtaining unit 14 is configured to obtain outpu...
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