基于物联网的电力系统调度数据自动采集研究  

Research on Automatic Collection of Power System Dispatching Data Based on Internet of Things

作　　者：王洋[1] WANG Yang(Xianyang Vocational&Technical College,Xianyang Shaanxi 712OOO China)

机构地区：[1]咸阳职业技术学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2021年第9期169-171,176,共4页Automation & Instrumentation

基　　金：陕西省教育厅科学研究项目“移动电源双温双控集成电路的设计与应用”(No.19JK0936)。

摘　　要：为了提高电力系统调度数据的采集能力,提出基于物联网的电力系统调度数据自动采集方法。通过优化的传输功率,得到数据采集物联网节点优化部署模型。根据实体图谱的抽象处理后,得到电力系统调度数据特征提取函数。利用特征检测的方法,得到电力系统调度自动采集输出控制函数,实现对电力系统调度数据的聚类处理,通过海量实体编织成图谱,得到电力系统调度数据的适应采集模型,在物联网的感知层中,实现对电力系统调度数据的优化采集。测试结果表明,设计的电力系统调度数据采集模型电力系统调度数据采集精度可达80%,能有效实现对电力数据的优化采集,提高对电力系统调度数据的检测识别能力。In order to improve the acquisition ability of power system dispatching data, an automatic acquisition method of power system dispatching data based on Internet of Things is proposed. Through the optimized transmission power, the optimal deployment model of IoT nodes for data acquisition is obtained. According to the abstract processing of entity graph, the feature extraction function of power system dispatching data is obtained. Power system dispatching are obtained by feature detection, the method of automatic acquisition for output control functions, implementation of the power system dispatching data clustering processing, woven through the massive entity graph, for power system dispatching of adaptive data acquisition model, in the perception layer of the Internet of things, realize the optimization of power system dispatching data acquisition. The test results show that the power system dispatching data acquisition model can achieve 80% accuracy of power system dispatching data acquisition, which can effectively realize the optimization of power data acquisition and improve the detection and identification ability of power system dispatching data.

关 键 词：物联网 电力系统 调度数据 自动采集中文关键词 末尾无符号 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TM276[自动化与计算机技术—控制科学与工程]