The Research Of Dynamic Joint Task Management Of Networked Information System

With the development of information technology,battlefield information plays a crucial role in the management of combat nodes and the improvement of comprehensive combat effectiveness of the networked information system.In the networked information system,the battlefield information is able to be shared among the dispersed combat nodes,which can accomplish the operational mission cooperatively by flexible combination.However,the overall effectiveness of the system will be constrained by the following problems: unclear node relationships,difficulty in determining the optimal combination of sensors and weapons,complex and changeable battlefield environment,and so on.To solve these problems,this paper will focus on the construction of distributed management system and the joint task management of sensors and weapons in the dynamic battlefield environment.This paper is organized as follows:Firstly,the existing problems of centralized task management is analyzed,and the necessity of constructing distributed task management system is clarified.Moreover,the distributed task management architecture and the overall system task management process are analyzed.The motion trajectories are used as feature attributes to cluster the targets.All targets are then divided into multiple groups.In order to construct the distributed task management system,combat resources are allocated to each target group based on the principle of maximizing the overall damage efficiency,and combat unit combinations corresponding to the target groups are obtained.By comparing the overall effectiveness with the centralized task management,it is verified that the quality of defense programs is improved through constructing the distributed task management system.Secondly,the joint task management model of sensors and weapons is established,with the consideration of the influence of sensor detection probability and tracking accuracy on the probability of weapon damage.The current information is used to judge whether the weapon and the target meet the time constraints and resource constraints to avoid the generation of invalid defense solutions.The discrete particle swarm optimization algorithm based on crossover strategy is adopted to solve the problem.A new encoding scheme with less calculation time is designed according to the constraints.By comparing the differences in the overall effectiveness according to the simulation results in MATLAB,the advantage of the joint task management of sensors and weapons is verified.And the effectiveness of the proposed algorithm is also validated.Thirdly,in consideration of the change of the battlefield,the multi-stage strategy is adopted to carry out dynamic task management.The engagement is considered as a number of task management stages.The thresholds of each task stage are then set.The task management will move on to the next stage if the current number of the valid targets and the effective weapons and sensors exceeds the corresponding threshold.This method can significantly improve the resource utilization rate.By analyzing the impact of constructing the distributed task management system on the quality of defense programs and the system response time,the relationship between the scale of the problem and the distributed task management system is established to ensure that the system response process at each stage is more reasonable.The neighborhood search algorithm is used to solve the dynamic task management problem.By comparing the quality of defense programs with the static task management algorithm within a certain period of time,it is verified that the neighborhood search algorithm is more suitable for the dynamic task management.Finally,the distributed simulation system based on HLA is used to simulate the battlefield scene,and verify the effectiveness of the proposed model and algorithm.The members of the data processing center are designed and developed according to the simulation requirements.Combined with other simulation members,a comprehensive simulation system is built.A reasonable simulation scenario is designed to simulate the joint task management of weapons and sensors,which is compared with the task management of weapons.It is verified that joint task management can improve the combat effectiveness of the system.In addition,under the confrontational environment,different task-management algorithms are compared and simulated.The simulation results indicate that,with the help of the proposed algorithm,more incoming targets can be intercepted within the same period of time and better defense effect is achievedIn summary,the networked information system in this paper,when dealing with the dynamic changes of the battlefield environment,constructs the distributed task management system and adopts the multi-stage strategy to carry out the joint task management of sensors and weapons.The proposed method can satisfy the requirements of the modern warfare by improving the resource utilization rate and the overall operational effectiveness.