基于高性能并行计算的武器装备混合调度控制方法研究

Research on Hybrid Scheduling Control Method for Weapon Equipment Based on High Performance Parallel Computing

摘要:

传统的武器装备混合调度控制方法抗干扰能力差，控制的武器装备数量很少。为了解决上述问题，基于高性能并行计算研究了一种新的武器装备混合调度控制方法，通过高性能并行计算求出混合调度周期，与基本调度周期进行对比，判断武器装备是否适合混合调度，设置实时调度集和优先调度集，确定实时调度命令，根据得到的调度命令，多次传递武器信息，实现调度工作。通过研究的调度方法在武器装备上标记电子标签，引入计算机技术提取控制指令，在多次审核武器装备信息后，完成武器装备的控制工作。为验证研究的调度控制方法操作效果，与传统调度控制方法进行对比实验，结果表明，基于高性能并行计算的武器装备混合调度控制方法具有很强的抗干扰能力，控制的武器装备数量也远远大于传统控制方法，对于现代武器装备管理有着积极的促进意义。

Abstract:

The traditional hybrid scheduling control method of weapons and equipment has poor anti-jamming ability, and the number of controlled weapons and equipment is very small. In order to solve the above problems, a new hybrid scheduling control method for weapon equipment is studied based on high performance parallel computing. The hybrid scheduling cycle is obtained by high performance parallel computing, and compared with the basic scheduling cycle to determine whether the weapon equipment is suitable for hybrid scheduling. Real-time scheduling set and priority scheduling set are set to determine the real-time scheduling command. According to the obtained scheduling command, The information of weapon is transmitted many times to realize the dispatching work. Through the research of scheduling method, electronic tags are labeled on weapons and equipment, and computer technology is introduced to extract control instructions. After checking and verifying the information of weapons and equipment several times, the control work of weapons and equipment is completed. In order to verify the operation effect of the scheduling control method studied, a comparison experiment with the traditional scheduling control method is carried out. The results show that the hybrid scheduling control method based on high performance parallel computing has strong anti-jamming ability, and the number of controlled weapons and equipment is much larger than that of the traditional control method. It has a positive promotion significance for modern weapon and equipment management.