Designated driver data management method, system and device based on big data
A data management and big data technology, applied in the field of driving data management, can solve problems such as low customer satisfaction, uneven quality of driving drivers, and inconvenient management and development of the driving platform, so as to avoid discomfort and improve work Efficiency and accurate calculation results
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Embodiment 1
[0052] like figure 1 and figure 2 As shown, a big data-based driver data management method, the specific process is as follows:
[0053] The chauffeur driver registers an account on the chauffeur platform, and fills in his own data information. The data information to be filled in includes name, gender, driver's license holding time, chauffeur service age, number of chauffeured historical vehicles, historical chauffeured vehicle brand, and chauffeured business preference. Working hours, resident area, chauffeur history evaluation, manual transmission and automatic transmission selection, the chauffeur platform authenticates the information filled in, and saves the data information filled in by the chauffeur driver.
[0054] The chauffeur platform organizes the driver's identity data, extracts the data features of the driver, and builds the driver's feature model. The vector space model is used to construct the feature model. The formula is as follows:
[0055] V(d)=(t 1 ,w...
Embodiment 2
[0064] like image 3 As shown, a big data-based driver data management system, including:
[0065] The registration and login module is used to register the account information of the driver and verify the account and password filled in when the driver logs in;
[0066] The data storage module is used to save the account data information of the driver, record data of the driver, and cache the current location data of the driver;
[0067] The model generation module is used for extracting data features from the driver's data information stored in the data storage module, and constructing a driver's feature model according to the extracted data features;
[0068] The list generation module is used to receive the chauffeur request sent by the user and generate the chauffeur list;
[0069] The demand extraction module is used to extract the business demand of the user in the chauffeur request;
[0070] The driver positioning module is used to receive the location data regularly...
Embodiment 3
[0076] like Figure 4 As shown, a big data-based chauffeur-driven data management device, the device includes a service processor and a distributed memory, the service processor is connected to the memory, the distributed memory stores a service self-management program, and configures For storing machine-readable instructions, the service processor executes the service self-management program, and the instructions, when executed by the processor, implement the big data-based driver data management method described in Embodiment 1 .
[0077] As can be seen from the above description, in this example, the chauffeured driver is asked to register and log in to the chauffeur platform account, so that the chauffeur platform obtains the data information of the chauffeur driver, and saves the data information in the database. Perform feature extraction, build a feature model of the chauffeur driver, and extract the business requirements in the chauffeur request after receiving the ch...
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