| As the core of railway traffic control system,the new generation of train operation monitoring and recording system(often shortened to the acronym “LKJ-15”)has a direct impact on the safety of train operation.Before the operation of LKJ-15 system,the basic line data and fixed control parameters need to be pre-installed in the on-board equipment.The high-security requirements of train operation put forward higher requirements for the integrity and correctness of on-board data.For a long time,the configuration data mentioned above is still manually configured and compiled by professionals,resulting in low accuracy and timeliness of the generated data.In recent years,with the continuous expansion of road network scale and the gradual increase of railway operation scenarios,LKJ-15 system needs to adapt to more complex and changeable operation scenarios,resulting in further difficulty in data configuration and compilation.At the same time,the original methods and some software functions are no longer applicable to the technical requirements of the new generation LKJ system.To solve the above problems,based on the analysis of the configuration basis,content and process of on-board configuration data,this thesis proposes a data configuration method based on the association relationship of data items.Apriori algorithm is introduced to mine the association relationship of vehicle configuration data,and the association rules guiding data configuration are obtained.Then,through the standardized modeling process,the modeling research on the preparation method of LKJ-15 vehicle configuration data is carried out.Finally,the LKJ-15 system configuration data automatic compilation software is developed,which helps to fill the current demand for automatic compilation of LKJ-15 system on-board configuration data compilation.At the same time,the research content of this thesis is of great significance to improve the data correctness of LKJ-15 system and ensure the safe operation of trains.The main work of this thesis is as follows:(1)In order to improve the efficiency and correctness of current on-board data configuration and reduce the dependence on manual experience in data configuration,combined with the analysis of the configuration basis,content and process of on-board configuration data of LKJ-15 system,a method of pushing potential configuration items based on the correlation of data items is proposed.(2)In order to analyze the association relationship between data configuration items,under the comprehensive comparison of algorithms,Apriori algorithm is introduced to mine the historical configuration data,and the association rules that can be used for data configuration guidance are generated,which proves the feasibility of the method.(3)In order to ensure the correctness and ambiguity of the compilation method of on-board configuration data,the compilation method model of on-board configuration data of LKJ-15 system is established.In the process of modeling,a complete modeling system of data compilation is designed,the framework and rules of data compilation methods are summarized,and the expert experience of data compilation is summarized.The Unified Modeling Language(UML)is used to establish the static and dynamic models of data compilation which ensure the correctness and completeness of the model.(4)Development of the software for compiling on-board configuration data of LKJ-15 system.Based on the analysis of the software application process,the software functional requirements are obtained,and the functions of data management,data push and data compilation are designed and realized.Finally,based on the data requirements,the LKJ-15 system test cases are compiled to test the data generated by the software.The final test results are all passed,which proves the correctness of the data generated by the software. |
