基于物联网技术的任务调度管理系统设计  

Design of Task Scheduling Management System Based on IoT Technology

作　　者：杨凡[1] YANG Fan(Guangdong Women's Polytechnice,Guangzhou Guangdong 511450,China)

机构地区：[1]广东女子职业技术学院,广东广州511450

出　　处：《北京工业职业技术学院学报》2024年第4期34-38,共5页Journal of Beijing Polytechnic College

摘　　要：为实现基于物联网平台的电力资源远程调度管理,提升电力企业的任务调度管理水平,基于物联网技术建立了一套任务调度集群平台。平台通过EMQX、Kafka和Flink三种集群部署方式建立软件架构,对某电力企业提供的电力系统PMU数据集进行在线功率预测,并根据PUM提供的电力数据对功率因数等监测指标进行计算。经实际应用发现,基于该部署策略设计的任务调度管理系统能够帮助用户找到各区域功率因数下的最佳计算窗口与学习率,实现较高的功率预测精度,为电力生产与分配任务的合理调度奠定良好基础。To achieve remote scheduling and management of power resources based on the Internet of Things platform and improve the task scheduling and management level of power enterprises,a task scheduling cluster platform has been established based on Internet of Things technology.The platform establishes software architecture through three cluster deployment methods:EMQX,Kafka,and Flink.It performs online power prediction on the PMU dataset of a power system provided by a certain power enterprise,and calculates monitoring indicators such as power factor based on the power data provided by PUM.Through practical application,it has been found that the task scheduling management system designed based on this deployment strategy can help users find the optimal calculation window and learning rate under the power factor of each region,achieve high power prediction accuracy,and lay a good foundation for the rational scheduling of power production and task allocation.

关 键 词：物联网平台 深度学习 容器技术 边缘计算 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]