针对目前风力发电机监控系统可视化程度低、数据无法进行远程实时传输等问题;提出一种数字孪生驱动的风力发电机远程监控系统框架,从6个模块进行研究。通过利用实体建模、模型轻量化、行为规则模型和动态模型构建、远程实时数据传输、Unity3D引擎可视化等技术,开发数字孪生驱动的风力发电机远程监控系统。最后,通过实验验证系统的可行性和有效性,实现了实时动态状态监测、故障报警、人机交互的风力发电机的远程智能化监控。
Abstract
As the essential equipment in the field of renewable energy, wind turbines are prone to failures during operation due to long-term operation in harsh environments conditions. Therefore, it is very necessary to monitor and maintain them in the whole life cycle operation. Aiming at the low visualization level of the current wind turbine monitoring system and the inability to transmit data remotely in real time, a framework of digital twin-driven system for remotely monitoring wind turbines, which is consists of six critical modules, is proposed. Subsequently, this system has been developed via multiple technologies including entity modeling, model lightweighting, construction of behavior rule model and dynamic model, remote real-time data transmission, and visualization in Unity3D engine. Finally, the feasibility and effectiveness of the system for realizing the remote intelligent monitoring of wind turbines with real-time dynamic status monitoring, fault alarm and human-computer interaction are verified via experiments.
关键词
风力发电机 /
监控 /
可视化 /
数字孪生 /
孪生模型 /
状态监测
Key words
wind turbines /
monitoring /
visualization /
digital twins /
twin model /
condition monitoring
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基金
新疆维吾尔自治区重点专项（202112142）
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