Preparation Of Railway Emergency Disposal Scheme Based On Natural Language Processing

Natural language processing(NLP),as a new technology across many disciplines,was developing rapidly and had broad application prospects,involving more and more disciplines.The railway dispatching and emergency disposal played an important role in the whole process of railway transportation.The railway dispatching office was the information hub of railway transportation.It was responsible for dispatching freight vehicles,passenger transport,train parking,etc.,to ensure the safe and punctual operation of trains,and was responsible for grasping the railway transportation situation,timely handling emergencies,and ensuring the safety,smoothness and efficiency of the railway.Only under the accurate dispatching of the dispatching office,the railway transportation could be carried out safely and efficiently.The application of natural language processing technology to the analysis and processing of railway dispatching instruction text could effectively improve the efficiency and accuracy of the dispatching process.The application of this technology could not only improve the efficiency and safety of railway transportation,but also provide important support for the realization of railway intelligent dispatching transportation in the future,which had a huge development space.Based on the analysis of the language characteristics of railway dispatching command,this paper studied the method and technical scheme of processing telephone voice dispatching command into standardized text,identified and analyzed the dispatching command,distinguished the necessity of dispatching command generation,and studied the technical scheme of automatic generation of emergency disposal scheme.(1)Text standardization of telephone dispatching commandsFirstly,the telephone voice dispatching command was recognized as text by speech recognition software,and the text was normalized.Then,the space vector model based on tf-iwf algorithm was used to calculate the similarity of the recognized dispatching command text,and then the standardized dispatching command parameters were extracted and filled out to realize the standardization of dispatching command.Finally,the recognition and standardization of 150 dispatching commands were taken as an example,The feasibility of the proposed scheme and the efficiency of the algorithm were verified.(2)Scheduling command classification based on ComplexityThe purpose of realizing the classification of dispatching text commands was to decide whether to further generate emergency disposal plans.Firstly,the principle of scheduling command classification based on preference was analyzed.Then,based on the establishment of standard scheduling command text keyword knowledge base,the formula for calculating the complexity of scheduling command text was designed by considering the applicable conditions of scheduling command,the specific operation types and quantities involved in scheduling command,and the method of scheduling command text classification based on complexity was given.Finally,the classification of 10 scheduling command texts was taken as an example,The effectiveness of the method was verified.It provides a set of feasible methods for judging whether to generate the emergency disposal plan.(3)Preparation of emergency response plan based on deep learningFirstly,the text completion method of standard scheduling command based on My SQL database was designed.On this basis,the generation algorithm of emergency disposal scheme based on Receptance Weighted Key Value model was designed in detail from the aspects of algorithm framework,algorithm steps,algorithm coding and decoding,and the strategy of correcting the deviation of the generated results was designed.Finally,the generation of four emergency disposal schemes was taken as an example,The efficiency of the emergency disposal scheme generation algorithm and the correctness of the deviation correction strategy were verified.This study designed a method of applying natural language processing technology to railway transportation organization,which provided a complete scheme for the intelligent generation of railway transportation scheduling commands,and provided technical support for the construction of a new generation of railway transportation scheduling system.