Research On Optimization Of Testing Technology For LKJ-15 Train Operation Monitoring Device

The train operation monitoring device(LKJ)is an important device that ensures driving safety,prevents train overspeed and assists drivers in driving.It is installed on locomotive or motor train unit and is widely applicable to various speed levels and line conditions.With the increasing demand for railway transportation and the development of related technologies,the device has been upgraded to LKJ-15.The simulation and testing work of the equipment has become more and more important.At present,the overall testing of the LKJ-15 device is mostly completed manually,and there are problems such as incomplete testing scenarios,redundancy in the testing process and low level of automation.Firstly,to address the difficulties in designing test cases for the LKJ-15 device,the redundant execution process of test cases and insufficient coverage of scenarios,a test case generation method based on the improved scenario method is used to design and generate test cases.Based on the process of analyzing the test scenarios using the traditional scenario method,the idea of guiding word inspiration in Hazard and Operability Study is introduced to improve scenario method in designing test cases,and the overall process of the method is optimized.The thesis uses an improved scenario method to analyze and sort out specific scenarios containing functional items to be tested,generate basic flows that describe normal scenarios and alternative flows that cover abnormal scenarios,and convert them into scene graphs.A path search algorithm is used to generate test cases.Comparing the test cases generated by this method with the existing case library to verify that test cases generated by this method can cover a richer range of testing scenarios and improve the overall testing effectiveness.Secondly,a test sequence generation method is applicated to address the issues of high testing workload and complex testing process for the LKJ-15 device.The method is based on the theoretical foundation of solving the Chinese postal route problem,it transforms the test sequence generation problem into a directed graph optimization and solution problem.Based on the Edmonds-Johnson algorithm and modeling tools,the problem is described and transformed.The directed graph of the test scenario is constructed into an Euler graph,Euler tracing is performed to obtain the optimized test sequence,reducing testing costs while covering relevant test cases.The effectiveness and feasibility of generating test sequences using the method are verified through the generation of LKJ-15 device mode conversion test sequences.Finally,a LKJ-15 device automatic testing platform is designed to address issues such as excessive manual participation and low automation during the testing process of the LKJ-15 device.Based on the manual testing process and equipment simulation testing requirements,the signal adaptation unit is designed to generate various signals to simulate the real operating environment of the device;the platform can collect device feedback output information.Key functions such as test case editing and management,automatic execution of test cases,display of test processes,and processing of test results have been designed to achieve automated testing according to the established plan for LKJ-15 device testing.Through the execution of relevant test cases,the automatic testing platform can replace some manual operations,save testing time,reduce testing costs,and improve testing efficiency.The thesis contains 34 figures,18 tables and 57 references.