VOLTNET: Smart Sensor Network for Powerline Monitoring with Machine Learning

该项目旨在开发一个半自主智能传感器网络平台的演示器，用于监测、检测和分类低压电力线上的电压、电能质量和故障事件。传感器将被设计用于部署在低压变电站和下游馈线电缆中，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，以及识别目前难以经济地识别的瞬时和初期故障情况。他们将使用宽带电力线通信技术来传输数据和信息，并在网络中的传感器之间共享知识，要开发的技术是一种重要的能力，在未来的发展中有着重要的开发机会。快速增长的智能电网市场。

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.