| As my country’s electrified railway mileage continues to refresh,the reasonable maintenance of the catenary is of great significance to the safety of railway operations.In the failure of the railway power supply system,the percentage of catenary failures fluctuates between 60% and 80% each year.Pollution flashover of grid insulators accounts for a great deal.Through analysis and comparison of various countermeasures,dry ice cleaning has the advantages of good cleaning effect,various types of cleaning dirt,wide application environment,and high safety.It has a broad development and application space in this field and can be used for existing maintenance methods.To add.In this paper,the overall plan of dry ice cleaning equipment for catenary insulators is designed,and research is carried out around this technology.Through the analysis and research on the maintenance of the catenary,the overall design plan of the equipment is determined.Choose the railway flat car as the equipment running mechanism.According to the actual spatial distribution of the catenary insulators,the robot arm is selected as the equipment actuator,and the cleaning robot arm structure is designed,the D-H parameter coordinate system is established,the forward and inverse kinematics analysis is performed,and the reachable space at the end of the robot arm is analyzed based on the Monte Carlo algorithm Scope,verify that the designed cleaning robot arm can meet the dry ice cleaning operation requirements of contact line insulators.Analyze and study the mechanism of dry ice cleaning to determine the influence of various factors in the cleaning process.For the dry ice cleaning effect of catenary insulators,the impact stress should be mainly considered.Based on this,a dry ice cleaning simulation model is established,and the reliability of the model is verified by analogy verification.,Provide theoretical support for follow-up research.Using the fluid simulation model of dry ice cleaning,the multi-objective optimization design research of the dry ice nozzle structure of the equipment is carried out,and a dry ice nozzle design method based on fuzzy comprehensive evaluation is proposed.The orthogonal experiment is designed with the structural parameters of the nozzle as the variable,and the single target is optimized separately.The membership function is established according to the obtained single target optimal value to complete the dimensionless processing and weighted to obtain the comprehensive evaluation score to evaluate the comprehensive performance of the nozzle,and then to The comprehensive performance is analyzed by range,and the result is that the influence of each geometric parameter of the nozzle structure on the single target and comprehensive performance is obtained.The optimal nozzle design plan is finally determined.After verification and comparison with the existing nozzles of the research group,the comprehensive performance is increased by 2.34 times.Meet the requirements of dry ice cleaning equipment for catenary insulators.A research method of dry ice cleaning parameters combined with Computational Fluid Dynamics technology and BP neural network technology is proposed to provide reasonable guidance on the cleaning process of dry ice cleaning equipment for catenary insulators,improve cleaning efficiency,and reduce dry ice consumption.According to the cleaning parameters of the equipment: compressed air pressure,dry ice mass flow,cleaning angle,cleaning target distance,the Latin hypercube sampling method is used to sample 50 sets of parameter combinations for CFD simulation test,and the result is used as the neural network training set,and another 10 The group is used as a test set to verify the accuracy of the trained model.According to the error analysis,the coefficient of determination is 0.9795.This model is a high-precision model,which can effectively reflect the interaction between the cleaning parameters.The method can provide reasonable guidance to the cleaning process,improve cleaning efficiency,reduce dry ice consumption,and has practical significance for cleaning engineering operations. |