Real-time vehicle-passing data discretization uploading method and apparatus

Abstract

The invention discloses a real-time vehicle-passing data discretization uploading method which is used for uploading vehicle-passing data received from a front-end device. The method comprises: A, obtaining current system time, determining a current query cycle according to the current system time, and determining starting time of a current uploading cycle according to the current time; B, within the current uploading cycle, uploading non-uploaded vehicle-passing data according to the query cycle, completing the uploading of all non-uploaded vehicle-passing data received within the current query cycle first, then looking for the non-uploaded vehicle-passing data in a previous query cycle, and uploading the found non-uploaded vehicle-passing data; and judging the time whether to already exceed the current uploading cycle after uploading each time, and if so, returning to the step A, or otherwise, performing uploading continuously. The invention further discloses a real-time vehicle-passing data discretization uploading apparatus. By utilizing the method and the apparatus, the vehicle-passing data uploading process is discretized, thereby ensuring the timeliness of vehicle-passing data uploading.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for discretizing and uploading real-time passing data. Background technique [0002] Since the intelligent transportation industry is an emerging industry, there are a large number of companies competing in the industry, resulting in a variety of intelligent transportation management platforms in the market. These platforms are not related to each other and cannot share data. If it is necessary to meet the data sharing in the region, it is necessary to set up an upper-level platform first, and the lower-level platform converts the data on the platforms of various manufacturers with unified specifications and uploads them to the upper-level platform, so as to meet the unified management of data in the region. Among them, the upper-level platform is only used to store and receive vehicle data information from the lower-level platform; while the lower-level platfor...

AI Technical Summary

Problems solved by technology

[0007] 1. The data volume of passing vehicles is tens of millions, which is very large. Every time the data is uploaded, the entire data table needs to be queried, and the filtering conditions are only: the identification in the identification bit and the latest time, which causes the system to spend a lot of time. Time, filter out data for upload

[0008] 2. While data is being uploaded, there will still be a steady stream of data being written in. The existing technical solution can only solve the problem of uploading the latest received data, but cannot upload the original data within a certain period of time. The performance of uploading is a bottleneck

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