VOLTNET: Smart Sensor Network for Powerline Monitoring with Machine Learning

VOLTNET：通过机器学习进行电力线监控的智能传感器网络

• 批准号: 131251
• 金额: $ 13.56万
• 依托单位: POWERLINE TECHNOLOGIES LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=131251
• 关键词: VOLTNET; Smart; Sensor; Network; Powerline

The project aims to develop a demonstrator for a semi-autonomous smart sensor network platform to monitor, detect and classify voltage, power quality and fault events on low voltage (LV) powerlines.The sensors will be be designed to be deployed in low voltage substations, and downstream feeder cables, and will employ innovative machine learning algorithms to detect and classify a range of known power quality events, and to identify transient and incipient fault conditions which are currently difficult to identify economically.They will use broadband powerline communications technology to transmit data and messages and to share knowledge between sensors in the network, enabling better performance to be achieved.The technology to be developed represents an important capability with signification opportunities for exploitation in the rapidly growing Smart Grid market segment.

该项目旨在开发半自主智能传感器网络平台的演示器，以监测、检测和分类低压 (LV) 电力线上的电压、电能质量和故障事件。这些传感器将设计为部署在低压变电站中和下游馈线电缆，并将采用创新的机器学习算法来检测和分类一系列已知的电能质量事件，并识别目前难以经济地识别的瞬态和初期故障状况。他们将使用宽带电力线通信技术来传输数据和消息并共享网络中传感器之间的知识，从而实现更好的性能。要开发的技术代表了一项重要功能，在快速增长的智能电网市场领域具有重要的开发机会。