Testing method and device for route data of urban rail traffic engineering

Abstract

The invention relates to the technical field of industrial data measurement, and discloses a testing method and a testing device for route data of urban rail traffic engineering. The method comprises the following steps: acquiring data sheets with the tested engineering route data, extracting the mutual dependency of the data in the data sheets, generating a testing script according to the dependency, executing the testing script to test the data of the tested engineering route data, manually testing the tested engineering route data without dependency, and at last generating the test report of the tested engineering route data. The testing method and the testing device for route data of urban rail traffic engineering provided by the invention combine the automatic testing with the manual testing, can be applied to testing the route data of various urban rail traffic engineering, greatly increase the data verification coverage rate and the data testing efficiency, further can be used for conducting a parallel data test to save manpower and environmental resources.

Description

technical field [0001] The invention relates to the technical field of industrial data testing, in particular to a testing method and device for urban rail transit engineering line data. Background technique [0002] Urban rail transit engineering line data describes the status of the entire urban rail transit line. If there is an error in the line data, it will cause logic errors in the signaling system, which will affect operational efficiency and even lead to safety accidents such as car crashes. Usually, engineering line data is produced manually. Due to the need for manual production of a large amount of data, errors will inevitably occur. Therefore, it is necessary to check out these error messages during the testing process. [0003] At present, the method used to test the electronic map data of the project is to use the functions of each product of the signal equipment for data verification. [0004] In the course of realizing the present invention, the inventor fin...

AI Technical Summary

Problems solved by technology

[0005] Existing data verification methods have shortcomings such as low coverage of tested data, cumbersome verification methods, and testers need to constantly set initial conditions

At the same time, the existing data verification method requires a complete set of environmental resources of the simulation test platform as support. Due to the lack of environmental resources, multiple people cannot carry out test activities in parallel at the same time, resulting in low test efficiency.

Images