Hadoop-based system and method for obtaining vehicle owner's driving trajectory
A driving trajectory and acquisition system technology, which is applied in the direction of location information-based services, specific environment-based services, communication between vehicles and infrastructure, etc., can solve problems such as data volume processing and storage capacity, and achieve solution analysis Bottlenecks related to storage, data integrity and reliability
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Embodiment 1
[0032] see figure 1 , the present invention discloses a Hadoop-based system for obtaining vehicle owner's driving track, and the system includes: a server and a terminal device. The server is used to record the driving track into the corresponding table in the Hbase, and provide the query for the terminal device; the terminal device is used to obtain the driving track information of the corresponding vehicle from the corresponding table in the Hbase.
[0033] The server includes: a validity verification module, an information writing module, an information returning module, a Hadoop / Hbase cluster module, and an entry gateway module.
[0034] The validity verification module is used to first verify the validity of the user token token after the server receives the GPS information. The token includes the identification number of the car and machine type information; take out the token information of the car and the car machine information of the user platform Carry out comparis...
Embodiment 2
[0049] The driving trajectory function is implemented on the Hadoop / Hbase big data analysis platform. First, the GPS information of the vehicle is obtained, and the obtained GPS information is identified, analyzed, and converted into business functions. The results are stored in Hbase, and the relevant information in Hbase is retrieved through the front end to track Imaging, returned to the driver.
[0050] The overall structure is as figure 1 As shown, the platform collects the GPS information of the client at a certain frequency, the sim card that comes with the vehicle uploads the GPS information through the mobile network, and the information is distributed through the load balancing device and then reaches the front-end AP of the platform. The GPS information is sent to the SP, and after scheduling through Zookper, the cluster processes the GPS information, such as converting and correlating GPS data, and then sends it to Hbase for storage. The terminal software calls th...
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