Research On Spply Support Model And Decision Support System Design Of Aviation Ammunition

With the development of military technology,the battlefield in the future will show a diversified and all-round posture.Aviation will assume the task of competing and attacking key enemy targets and assisting the Army and Navy in landing operations.It shows the characteristics of many types of warplanes,short time of war,and large ammunition consumption,which has greatly increased the strength and difficulty of ensuring the supply of aviation ammunition.In order to adapt to the information war and to effectively display the air force’s operational capabilities,it is necessary to provide timely,accurate and sufficient supply of aviation ammunition.This paper studies the supply support model and decision support system of aviation ammunition.The supply support model of aviation ammunition is established respectively from the three aspects of the consumption,storage and transportation.The overall design framework of the decision support system of aviation ammunition is also discussed.Firstly,combining with the characteristics of aviation ammunition consumption,this paper studies the forecasting of aviation ammunition consumption based on the fusion of neighborhood rough sets and mutation-based particle swarm optimization and deep neural network.Elimination of redundant information by attribute reduction techniques of neighborhood rough sets and the training set is used for regression learning based on the deep neural network.The optimal weights and thresholds of each layer of the network are obtained by the mutation-based particle swarm optimization algorithm and then the NRS-MPSO-DNN model is constructed to forecast the consumption of aviation ammunition.An empirical study of the training consumption of aviation ammunition shows that the model predictions are in good agreement with the actual data and the model has better predictive performance than the other prediction models.Secondly,considering the independence of aerial ammunition supply agent and combat troops agent and the synergistic action of command agent,the optimal layout model of aerial ammunition storages is build based on the perspective of Multi-Agent system in the case of multiple influence factors.The weights of all factors are determined by cooperative and competitive game.The genetic algorithm is improved by the optimal ordinal number method and segmented chromosome code to solve the multi-objective optimization problem.Then the optimal layout of ammunition supply storages and the aerial ammunition reserves are determined at the same time.In view of the difference between peacetime and wartime environment,the common storage points in peacetime and the standby storage points in wartime are distinguished.Simulation result shows that the model proposed based on Multi-Agent system can coordinate opinions came from different departments well,and provide more reasonable decision for the guarantee of aerial ammunition on the perspective of cost,safety and time.Thirdly,to optimize the aerial ammunition scheduling and transportation,both the synergy among all departments of aerial ammunition support system and uncertain factors,such as traffic and attack situations,are taken into consideration in the model.Multi-Agent simulation and Bayesian decision network are also used in order to evaluate and describe the dynamic characteristic of decision.The traffic and attack situations of roads are quantified as crossing time through the model so that the optimization can be simplified into multi-source shortest path problem.Then the optimal transport path of aerial ammunition and combination of storages can be determined by the Floyd-Warshall algorithm.Simulation result shows that the dynamic aerial ammunition scheduling and transportation model based on Multi-Agent is more suitable than traditional model in changing the decision according to the real-time fighting,and different modes of air ammunition transportation and supply are determined according to the specific environment and transportation decision,so as to provide more reliable guarantee of troops.Finally,according to the characteristics of the supply support of aviation ammunition,the overall framework of aviation ammunition supply support decision support system is given from the design background,design objective,design principle,design content,system composition and structure.This paper focuses on database construction,model library improvement and human-computer interface design.In the aspect of database design,the big data mining technology is used to construct the aviation ammunition big data center,including consumption forecast service database,storage solution service database and transport solution service database.In the aspect of model library design,by adjusting the traditional model from the perspective of the selection process,the model selection method is improved to improve the efficiency of model searching and realize the automatic selection of models.Lastly,in view of the current research status of human-computer interaction interface,this paper summarizes its design concept and formulates the overall technical framework of human-computer interaction interface.In short,this paper takes a deep research on the supply support model and decision support system of aviation ammunition.The aviation ammunition consumption prediction model,the storage layout optimization model and the transportation decision optimization model are respectively established.The database construction,model library improvement and human-computer interface design of decision support system are discussed in depth.The research of this paper has a high theoretical and practical value for improving the efficiency of supply support of aviation ammunition.