The rapid development of new energy technology has put forward higher requirements for station operation and maintenance,and intelligent monitoring and fault diagnosis technology has become the key to improving operation and maintenance efficiency.this study focuses on the application of intelligent sensor technology,and explores in detail the important roles of various types of sensors such as temperature,vibration,and current in device status monitoring.it also elaborates on the superiority of wireless transmission technologies such as LoRa,NB IoT,and 5G in data acquisition and transmission.the use of big data analysis and machine learning methods to model the operating status of equipment and predict faults has improved the accuracy and real-time performance of diagnosis.we have developed an intelligent system architecture that integrates data collection,transmission,processing,and decision support,and achieved significant results in wind farm applications.the equipment failure rate has been significantly reduced,maintenance costs have been significantly optimized,and power generation efficiency has been improved.
关键词
智能化监测/故障诊断/新能源场站/智能传感器/大数据分析
Key words
intelligent monitoring/fault diagnosis/new energy station/intelligent sensors/big data analysis
维普
万方数据