Smart city multi-source heterogeneous big data processing platform
A big data processing, multi-source and heterogeneous technology, applied in the field of data processing, can solve the problems of diverse formats, low degree of sharing, and difficulty in finding parking spaces.
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Embodiment 1
[0023] A smart city multi-source heterogeneous big data processing platform disclosed in this embodiment includes the following contents:
[0024] The data acquisition unit is used to collect urban parking space data. The data acquisition unit can integrate distributed crawler, DataX and other collection technologies. On the one hand, it collects existing data through the existing network, and on the other hand, it collects parking space data in real time and dynamically. Through the data acquisition unit, the data resources originally stored in isolation are aggregated to realize data interconnection.
[0025] The collected data needs to be preprocessed, and for heterogeneous data synchronization of multi-source data and the resulting data adaptation and collection quality issues, in order to improve the quality of the data, the preprocessing unit is used to process the collected The parking space data is extracted, cleaned, filtered and converted to obtain pre-processed data...
Embodiment 2
[0035] The difference between this embodiment and Embodiment 1 is that in this embodiment, the data acquisition unit also includes a parking space monitoring module, which is used to collect vehicle information on a shared parking space, and the owner of the parking space sets the first The first parking time period, the sharing requester sets the second parking time period, if the collected vehicle information does not match the vehicle information in the set parking time period, the temporary occupancy information of the parking space will be sent to the other party, so that in the case of temporary occupancy Inform the other party that the parking space is not available in time.
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