Design And Research Of Aviation Equipment Maintenance Support Information System

With the rapid development of aviation technology,the frequency of upgrading aviation equipment is also rapidly increasing.Modern warfare requires the troops to have rapid deployment and partial strike capability,which poses new challenges to aviation equipment maintenance and support.In view of the problems encountered in the current aviation equipment maintenance support,as well as the operational specifications and rules and regulations of the quality control room of the equipment department,this paper designs and develops the aviation equipment maintenance support information system to ensure that the base officers and soldiers can be more convenient and more efficient.The work can maximize the use of equipment already owned by the troops,and in the system,the problem of equalization of aviation equipment maintenance support resources and the forecast of aviation equipment spare parts demand are studied.The problem of equal allocation of aviation equipment maintenance support resources is a core issue in the aviation equipment maintenance support information system.The problem of balance allocation of aviation equipment maintenance support resources is fundamentally a resource-constrained project scheduling problem(RCPSP,Resource-Constrained Project Scheduling Problem).It is a np-difficult combination optimization problem.The problem itself has a high degree of complexity,and satisfactory results cannot be obtained at an effective time.In this paper,the particle swarm-ant colony hybrid algorithm is provided to analyze and solve the problem.Firstly,the suboptimal solution obtained by the particle swarm optimization algorithm is used as the heuristic information basis in the pheromone concentration during the initialization of the ant colony algorithm.Group algorithm optimization leads to the optimal solution.Under the premise of the construction time and maintenance resources,the results proved by simulation experiments prove that the hybrid algorithm can realize the balanced distribution of aviation equipment maintenance resources.The particle swarm-ant colony hybrid algorithm has better efficiency,stronger convergence ability and shorter algorithm search time.It is very random to predict the demand for aviation equipment spare parts,and it is very difficult to predict the nonlinear characteristics.This paper proposes to use the gray Markov model prediction method to predict the demand quantity of aviation equipment spare parts.Firstly,the gray data prediction model is used to predict the original data,and then the relative error is calculated according to the predicted value and the original data.Secondly,the results of the gray prediction model are classified into several states,the Markov model is established for re-prediction,and finally the simulation is performed.The example verification algorithm has higher accuracy and improves the accuracy of demand forecasting.Finally,this paper introduces the design of the aviation equipment maintenance support information system in detail,and implements the above problems in the system.After the actual use,the aviation equipment maintenance support information system can be found to make maintenance decisions for aviation equipment and enhance the equipment.It is of great help to protect the consciousness and improve the combat capability of the troops.