开发和整合一个数字双胞胎模型,用于一个真正的水电发电厂
1Department of Electrical and Electronics Engineering, Graduate School of Natural and Applied Sciences, Gazi University, Ankara 06560, Türkiye.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
水力发电厂的数字双胞胎 (DT) 可以预测和防止传感器错误,区分真实的故障和测量问题. 这样可以确保连续运行,防止生产损失.
科学领域:
- 数字双胞胎是一个数字双胞胎.
- 水力发电系统 水力发电系统
- 工业控制系统 工业控制系统
背景情况:
- 水力发电厂依赖于准确的传感器数据以实现高效运行.
- 传感器故障可能导致系统关闭和生产损失.
- 数字双胞胎技术为实时监控和错误检测提供了潜力.
研究的目的:
- 为水力发电厂开发和实施数字双胞胎模型.
- 专门分析和解决压力传感器故障情况.
- 通过区分真实的故障与测量错误来提高系统可靠性.
主要方法:
- 创建水力发电厂的综合数字双胞胎模型.
- 使用可编程逻辑控制器 (PLC) 模拟和分析传感器故障场景.
- 将传感器数据与数字双胞胎模型数据进行比较,以识别差异和错误读数.
主要成果:
- 数字双胞胎模型成功识别了错误的数据,区分了实际的传感器故障和测量/连接错误.
- 使用基于数字双胞胎的控制机制来管理发现的故障.
- 该系统避免了因测量或连接错误而出现不必要的关机,保持了连续运行.
结论:
- 数字双胞胎技术使水电厂的关键传感器能够准确预测和预防错误.
- 通过将真实故障与数据错误区分开来,数字双胞胎可以防止不必要的生产损失,并确保系统连续性.
- 这种方法提高了水电发电的整体可靠性和效率.
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