Method and system of analyzing single-license-plate series-parallel-connection on basis of big data
A technology for analyzing systems and big data, which is applied in the field of transportation to reduce the demand for network IO resources and achieve good scalability.
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Embodiment 1
[0039] Such as figure 1 Shown is the flow chart of the method for the present invention to propose a method for stringing and merging single license plates based on big data analysis, the method comprising:
[0040] Step 101, the video collection device collects unstructured data of vehicles passing through the road checkpoint, and transmits the collected unstructured data to the unstructured data access system;
[0041] Step 102, the unstructured data access system receives and stores the unstructured data, and transmits the unstructured data to an analysis system;
[0042] Step 103, the parsing system receives the unstructured data, converts the unstructured data into structured data, and transmits the structured data to a distributed database, wherein the structured data includes at least Passing time, license plate number and unstructured data reading address;
[0043] Step 104, the distributed database includes at least three data nodes, the distributed database receive...
Embodiment 2
[0064] Such as image 3 as shown, image 3 It is a schematic diagram of the composition of the system 300 based on big data analysis of single license plate serialization in the present invention, and the system 300 of the present invention based on big data analysis of single license plate serialization includes:
[0065] A video collection device 310, configured to collect unstructured data of vehicles passing through the road checkpoint, and transmit the collected unstructured data to the unstructured data access system 320;
[0066] An unstructured data access system 320, configured to receive and store the unstructured data, and transmit the unstructured data to the parsing system 330;
[0067] The parsing system 330 is configured to receive the unstructured data, convert the unstructured data into structured data, and transmit the structured data to the distributed database 340, wherein the structured data includes at least Passing time, license plate number and unstru...
Embodiment 3
[0083] Figure 4 is a flowchart of structured data query and analysis, such as Figure 4 As shown, a method that can be used for structured data query and analysis, the steps are as follows:
[0084] Step 401: Start
[0085] Step 402: The user enters the query conditions of the vehicle to be searched in the query and analysis system, wherein the query conditions at least include the license plate number, the number of digits of the license plate difference, the start time and the end time;
[0086] Step 403: Query and analyze the system to check and verify whether the query conditions are qualified, specifically check whether the license plate number complies with national regulations and relevant standards, whether the difference between the license plate position is greater than or equal to 1 and less than or equal to 2, whether the start time and end time meet Date specification and whether the end time is greater than the start time, at least one of which is no, then per...
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