Dynamic environment-based fleet air defense resource scheduling optimization control method and system

Abstract

The invention relates to a dynamic environment-based fleet air defense resource scheduling optimization control method and system. By performing assessment on disturbance types and intensity in a taskexecution process, fleet air defense resource scheduling optimization control is realized in a global static optimization and local dynamic adjustment combination mode according to the disturbance types and intensity. Local adjustment or global optimization can be flexibly selected according to the disturbance intensity, so that frequent global optimization is avoided, a task plan can be timely adjusted, and the fleet air defense resource scheduling optimization control is realized.

Description

Technical field: [0001] The invention relates to the field of multi-platform collaborative air defense command and dispatch of surface warship formations, and in particular to a fleet air defense resource scheduling optimization control method and system in a dynamic environment in a rolling time domain. Background technique: [0002] The problem of surface ship formation air defense decision-making and automatic dispatching control is usually attributed to the WTA (Weapon Target Assignment) problem, which mainly considers the optimal matching of weapons and targets. The rationality of this treatment is that the weapon channels in the air defense system cannot be reconfigured. With the support of the multi-platform cooperative air defense information system (MCE) of the surface warship formation, the formation can organize and dispatch air defense combat resources in a unified manner, and build multiple cross-platform systems covering the entire process of detection, decision...

AI Technical Summary

Problems solved by technology

Among them, sub-process modeling refers to dividing the whole process of air defense task execution into multiple sub-processes, each sub-process corresponds to a short time, modeling for each short-time static scheduling, using the rolling time domain framework to model the sub-processes Modeling can accurately solve the large-scale static scheduling sub-process. However, the fundamental purpose of the scheduling plan is to guide the actual combat process. No matter how accurate the static plan is, the state uncertainty caused by random disturbance can never be avoided in actual combat. The resulting execution errors will gradually deviate from the actual working state from the planned state, and plan adjustments are inevitable. However, according to the complexity of formation air defense issues and the rigor of combat execution, it is unrealistic and impossible to carry out frequent global optimization. Necessary, so a fleet air defense resource scheduling optimization control method and system that can find the best balance point in terms of planning stability and flexibility is needed to cope with the development of military command informationization and modernization under the new situation

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