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对机场设备的维修进行合理规划布局,能够更好的提升对机场设备的高效管理和维护。对设备维修的规划,需要通过二维向量表述设备的连续空间位置,设定设备合理规划的适应度函数,完成设备维修的合理规划。传统方法先给出机场设备布局的状态空间,从而得到所有可行解的集合,但忽略了设定规划的适应度函数,导致设备维修规划精度偏低。提出基于粒子群的机场设备布局合理规划方法。融合于表面离散化的思想获取设备使用的稳定性指标,得到设备布局稳定性判断准则,获取衡量设备布局的性能指标,融合于粒子群思想理论,求解面向机场设备布局的连续空间优化问题,采用二维向量表述设备的连续空间位置,引入系统化布置设计法对初始粒子群进行优化,设定机场设备布局合理规划的适应度函数,以此为依据完成对机场设备布局合理规划。仿真证明,所提方法规划精度高,可以为确保机场设备高效、安全运转提供了可行的依据。
Reasonable planning and layout of the maintenance of airport equipment can better enhance the efficient management and maintenance of airport equipment. For the equipment maintenance planning, the continuous space position of the equipment needs to be expressed by a two-dimensional vector, and the fitness function of the equipment should be set properly so as to complete the reasonable planning of equipment maintenance. The traditional method first gives the state space of airport equipment layout, and then obtains the set of all feasible solutions, but neglects to set the fitness function of planning, resulting in the low precision of equipment maintenance planning. A particle swarm optimization method for airport equipment layout planning is proposed. Integration of the idea of surface discretization to obtain the stability index of equipment used to get the criterion of equipment layout stability, get the performance index to measure the layout of the equipment, merge into PSO theory, and solve the problem of continuous space optimization for airport equipment layout. Two-dimensional vector representation of the continuous spatial location of equipment, the introduction of the systematic layout design method to optimize the initial particle swarm, set the airport equipment layout reasonable planning fitness function, based on which to complete the rational planning of the airport equipment layout. Simulation results show that the proposed method has high planning accuracy and provides a feasible basis for ensuring the efficient and safe operation of airport equipment.