Research And Application Of Distributed Cooperative Battle Mission Planning Technology

With the continuous development of computer technology,the field of military dependence on computer technology continues to deepen,with the changes in the form of warfare taking place with each passing day.With the advent of the information age,the form of operations is no longer the traditional single unit,but the joint operation of multiple services and multi-units becomes the mainstream.The emphasis on combat is fast and accurate,so the stability and high efficiency of mission planning before the war and in the wartime have put forward higher requirements.Distributed collaborative mission planning technology is a multi-service,multi-unit pre-war and wartime tactical planning of the key technologies.In the process of collaborative mission planning,each combat unit best understands the situation of its own operational team.In the course of collaborative mission planning,each proposed a combat plan for its own troops,coordinated its combat plan with other combat troops,and finally formed an overall tactical plan.However,due to the lack of comprehensive information,it is unavoidable that there will be conflicts in the planning of the multi-unit mission without any detection.Conflicts arise to resolve the conflict.The operational team needs a coordinator to coordinate the process of conflict resolution and maintain the stability of the mission plan.However,in complex combat situations,once the coordinator is out of alignment,the task planning process of the entire team is affected.Therefore,in the process of distributed collaborative task planning,conflict detection,conflict resolution and coordinator identification technology jointly maintain the stability of task planning.The main contents of this paper are as follows:First of all,according to the content of task planning,construct the task model and task event model.According to the conditions in the process of collaborative task planning,a task event constraint model is constructed.In order to solve the hard-to-reach encounter,contain,start at the same time and end various situations in the timing constraint,a TQCN segmentation time constraint network model is proposed.Design space-time constraints,resource-constrained detection algorithms,and the design of an overall conflict detection algorithm that aims to improve efficiency.Design conflict resolution strategy.Then,based on the actual relationship between cooperative units,the virtual hierarchical structure model between seats is constructed.According to the historical records of mission planning and conflict resolution,this paper proposes a reward and punishment system of seats based on historical records.Apply AHP to solve the weight vectors of attack,defense and reconnaissance criteria for different target missions.The system of reward and punishment,weight vector and dynamic Bayesian network to design and build a Bayesian network model of competent coordinator.Design coordinator to determine the algorithm.Finally,the experiment and analysis of the research content of this paper are carried out.The experimental results show that the content of this paper is accurate and the efficiency optimization algorithm is effective.The research results have been applied in distributed collaborative decision-making environment for joint planning.