摘要
随着通信技术的不断发展进步,“新基建”上升为国家战略。5G网络部署加速推进,各运营商多制式设备同时运行,这必将会导致能耗的升高。基于此,从通信运营设备调度研究的角度,将闲置站点设备应用于较忙站点,对现网运行中的多类型设备进行合理调度分配,以达到节能降耗、降本增效的目的。首先,对各站点之间的路径运用Python结合高德地图API获取道路实际驾驶距离,比以往研究的运用直线距离更切合实际。其次,结合通信设备特性及调度建立通信运营设备的调度模型。最后,运用蚁群算法对模型进行寻优操作得出调度路径及调度成本,与现阶段施工调度的路径进行对比,验证了模型的有效性,为今后多制式通信运营设备的调度管理提供理论性指导。
With the development and progress of communication technology,″New Infrastructure″has become a national strategy,the deployment of 5G network has been accelerated,and all kinds of multi⁃mode equipment belonging to various operators have been operated at the same time,which will inevitably lead to an increase in energy consumption.Based on this,the idle station equipment is applied to busy stations in the perspective of communication operation equipment scheduling research,and various types of equipment operating in the current networks are dispatched and distributed reasonably,so as to achieve the purpose of energy saving,consumption reduction,cost decreasing and benefit increasing.The actual driving distance of the road is obtained by using Python combined with Gaode map API for the path between stations,which is more practical than the straight⁃line distance used in previous studies.In combination with the characteristics and scheduling of communication equipment,the scheduling model of communication operation equipment is established.The ant colony optimization(ACO)algorithm is used to optimize the model,and obtain the scheduling path and scheduling cost.In comparison with the current construction scheduling path,the effectiveness of the model is verified,so it can provide theoretical guidance for the scheduling of multi⁃mode communication operation equipment in the future.
作者
邢呈勇
刘耘
XING Chengyong;LIU Yun(College of Civil Engineering and Architecture,Xinjiang University,Urumqi 830017,China)
出处
《现代电子技术》
2022年第21期13-19,共7页
Modern Electronics Technique
关键词
通信运营设备
API
调度模型
蚁群算法
调度路径
调度成本
节能减排
降本增效
communication operation equipment
API
scheduling model
ACO algorithm
scheduling path
scheduling cost
energy saving and emission reduction
cost decreasing and benefit increasing
