Smart operation and maintenance management and application of wind farms

摘要

It has become a trend to use artificial intelligence, big data, cloud/edge computing and other technologies to improve power generation efficiency and supervision capabilities to achieve "new energy +". This article follows the principles of "few people on duty, situation-based maintenance, and digital operation and maintenance" to build an intelligent site and platform of "remote centralized operation + regional maintenance + smart site". Real-time detection, analysis, diagnosis, and operation optimization of new energy power plants. Additionally, this paper proposes AnoGAN, a hybrid model that combines generative adversarial networks (GANs) and variational autoencoders (VAEs) for anomaly detection. It generates normal data and detects anomalies through generated data errors, contributing to the intelligent operation and maintenance of wind farms. The wheeled robot replaces manual tasks in critical areas and embodies the integration of advanced anomaly detection technology with practical robotic solutions for efficient power infrastructure maintenance.