| At present,railway transportation plays an important role in our country’s economic development and the construction of the "Belt and Road".As a necessary part of railway transportation,the maintenance operation of railway heavy-duty trucks provides a guarantee for its safe and reliable operation.With the increase of railway freight volume year by year,the demand for maintenance has also continued to increase.In addition,the newly revised safety production law in 2021 has put forward stricter safety requirements for the maintenance process of enterprises.At present,the operation of Railway Heavyfreight Train Maintenance Workshop(RHT-MW)has the characteristics of heavy production tasks,many heavy machinery,and many sources of operation risk management and control.These features advocate higher requirements for maintenance safety management and control.However,the current RHT-MW safety risk management and control method lacks scientific and operability,the safety training method has the problem of separation of theory and practice,and safety monitoring cannot achieve real-time supervision.Therefore,there is a lack of a scientific and reasonable set of operation safety risk management and control system,thus unable to meet the growing management and control needs.However,the development of new technologies and the comprehensive application of safety risk management and control systems have provided the possibility for scientific and comprehensive operation safety risk management and control.In view of this,this thesis focuses on the construction of the operation safety risk system and the design and development of the support system for the RHT-MW operation safety risk management and control in the complex environment.First of all,based on the analysis of relevant research results at home and abroad,the thesis concludes the shortcomings and limitations of using existing models and methods to conduct safety risk management and control research in the context of railway heavy-duty truck maintenance workshops.Systems and their supporting systems are important and necessary.Secondly,identify and analyze the risk sources of maintenance operations,comprehensively consider multiple RHT-MWs,and determine the list of risk sources from the aspects of personnel,equipment,environment,management,etc.;according to the process of risk identification of maintenance operations,the thesis uses fault tree analysis.Qualitative analysis is carried out by using the method to find out the basic reasons for the occurrence of the top events layer by layer,then the thesis determines the minimum cut set;on this basis,the main cut sets are quantitatively analyzed by integrating the fuzzy theory,the probability of the top event and the fuzzy importance are obtained,and the risk level system is established.Then,according to different safety risk levels,the thesis formulates corresponding safety risk management and control plans for maintenance operations,establishes a safety risk classification management and control mechanism,determines the safety risk management and control procedures and principles of maintenance operations,and builds risk management and control according to the key technologies required for operational safety risk management and control.Finally,combined with the above analysis and research,starting from the overall architecture of the system,the system technical architecture and main functional architecture are constructed;the system digital twin is modeled from the aspects of the overall modeling framework,scene modeling process and maintenance resource structure modeling.Finally,the thesis carries out the development and verification of the system. |