Research and Application of Intelligent Generation Technology of Device Labels for Power Internet of Things

Yanwei Wang, Xuan Wang, P. Guo
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Abstract

In order to achieve accurate description of devices in the application environment of the Internet of Things, to meet the needs of business applications for device labels, and promote tag based device data sharing and value mining, this paper studies and applies the tag intelligent generation technology. The standardized management of the whole life cycle of equipment label definition is realized, and the Power Internet of Things equipment label system is established through the design of label production process for power assets and equipment. This paper studies two tag generation technologies. One is to use rule engine to effectively integrate, understanding and applying expert experience, the other is to adopt the automatic machine learning technology scheme to realize the automatic machine learning model construction with high performance and high efficiency, so as to obtain the best model effect and apply it to diversified business data and complex scenarios. The intelligent labeling of labels is realized, and a unified, universal and comprehensive power equipment label library is established through these two technologies.
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电力物联网设备标签智能生成技术研究与应用
为了实现物联网应用环境下对设备的准确描述,满足业务应用对设备标签的需求,促进基于标签的设备数据共享和价值挖掘,本文研究并应用了标签智能生成技术。通过对电力资产和设备标签生产流程的设计,实现设备标签定义全生命周期的标准化管理,建立电力物联网设备标签体系。本文研究了两种标签生成技术。一是利用规则引擎对专家经验进行有效的整合、理解和应用,二是采用自动机器学习技术方案,实现高性能、高效率的自动机器学习模型构建,从而获得最佳的模型效果,应用于多样化的业务数据和复杂的场景。通过这两种技术,实现了标签的智能标注,建立了统一、通用、全面的电力设备标签库。
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