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基于物联网的非侵入式负荷状态监控系统设计

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针对电子工艺实验室因设备多、类型多而带来的管理困难和安全隐患问题,利用物联网技术研发一种非侵入式负荷状态监控系统.该系统包含监测节点和服务器两部分,前者用于负荷状态识别,后者负责统计与控制.为准确识别节点上的设备状态,在监测节点端设计非侵入式负荷状态监测算法,其包括多状态负荷分离、状态特征提取和负荷识别等过程.真实场景的实验结果表明,研发的系统可以准确地监控电子工艺实验室的设备.
Design of Non-intrusive Load Condition Monitoring System Based on Internet of Things
Aiming at the management difficulties and potential safety hazards caused by the large number and types of equipment in the electronic process laboratory,a non-intrusive load state monitoring system was developed by using the Internet of Things technology.The system includes monitoring nodes and servers.The former is used for load status identification,and the latter is responsible for statistics and control.At the same time,in order to accurately identify the equipment state on the node,a non-intrusive load state monitoring algorithm is designed at the monitoring node end,including multi-state load separation,state feature extraction and load identification processes.Experimental results in real-world scenarios show that the developed system can accurately monitor the equipment in the electronic process laboratory.

loTnon-intrusive load monitoring(NILM)rule learningmulti-state load identification

季坚莞、胡文军、王闯

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湖州师范学院信息工程学院,浙江湖州 313000

浙江理工大学科技与艺术学院,信息与控制学院,浙江绍兴 312300

浙江省现代农业资源与应用研究重点实验室,浙江湖州 313000

物联网 非侵入式负荷监测 规则学习 多状态负荷识别

国家自然科学基金项目浙江理工大学科技与艺术学院院设科研项目

61772198KY2022005

2024

湖州师范学院学报
湖州师范学院

湖州师范学院学报

影响因子:0.301
ISSN:1009-1734
年,卷(期):2024.46(2)
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