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基于蚁群算法的电力基建工程物联网全数据管理
引用本文:吴敬法,袁震.基于蚁群算法的电力基建工程物联网全数据管理[J].信息技术,2021(1).
作者姓名:吴敬法  袁震
作者单位:;1.国网山东省电力公司枣庄供电公司
基金项目:山东省重大科技项目(SD521304170H1008)。
摘    要:针对现有技术中电力基建工程全生命周期数据管理技术落后,计算效率低下的问题,提出了新型的智能化管理系统,该管理系统融合了大数据、云计算、物联网、移动互联等新型技术,通过使用包括计算机网络系统、Web端主站平台、手持终端APP、移动终端采集系统及专用支撑网络的数据管理平台,实现了电力基建工程设备全生命周期管理信息从数据采集、数据传递、数据计算到应用的全生命周期管理,提高了电网设备的自动化、智能高效管理。通过利用数据融合算法和蚁群最优搜索算法,实现目标数据的最优搜索。试验表明,该研究方法准确率高达93%。

关 键 词:电力基建工程设备  全生命周期管理  智能化管理  数据融合算法  蚁群最优搜索算法

Whole data management of Internet of Things for power infrastructure projects based on ant colony algorithm
WU Jing-fa,YUAN Zhen.Whole data management of Internet of Things for power infrastructure projects based on ant colony algorithm[J].Information Technology,2021(1).
Authors:WU Jing-fa  YUAN Zhen
Affiliation:(State Grid Shandong Electric Power Company Zaozhuang Power Supply Company,Zaozhuang 277102,Shandong Province,China)
Abstract:Aiming at the problems of backward data management technology and low computing efficiency in the entire life cycle of power infrastructure projects in the existing technology,a new intelligent management system is proposed,which integrates new technologies such as big data,cloud computing,Internet of Things,and mobile internet.A data management platform including a computer network system,a webside master station platform,a handheld terminal APP,a mobile terminal collection system and a dedicated support network,is used to realize the whole life cycle management information of power infrastructure engineering equipment from data collection,data transmission,and data management,what improves the automation,intelligent and efficient management of power grid equipment the data fusion algorithm and ant colony optimal search algorithm are used to realize the optimal search of target data.Experiments show that the accuracy of the method in this study is as high as 93%.
Keywords:power infrastructure engineering equipment  life cycle management  intelligent management  data fusion algorithm  ant colony optimal search algorithm
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