As a key component of wind turbine, wind power forging directly affects the performance and stability of the whole wind power system. In order to improve the production efficiency of wind power forgings, reduce production costs and improve product quality, Internet of Things technology is widely used in the field of intelligent monitoring and diagnosis of wind power forgings production. This paper will introduce the application of Internet of Things technology in the production of wind power forgings, as well as the importance and practical effect of intelligent monitoring and diagnosis.
First, the application of Internet of Things technology in wind power forging production
Iot technology plays an important role in the production of wind power forgings, mainly in the following aspects:
Data acquisition: The Internet of Things technology collects various data in the production process of wind power forgings in real time through sensors, RFID and other devices, such as temperature, pressure, vibration, deformation, etc., to provide basic data for subsequent data analysis.
Monitoring and diagnosis: Through the Internet of Things technology, the production process of wind power forgings can be monitored in real time, abnormal conditions in the production process can be found in time, and through the analysis of the collected data, the equipment failure can be warned and diagnosed, providing strong support for the maintenance of production equipment.
Second, intelligent monitoring and diagnosis
Intelligent monitoring and diagnosis is a kind of technical means for real-time monitoring, anomaly detection, performance evaluation and fault warning of the production process of wind power forging by using the Internet of Things technology. Its main purpose is to find the problems in the production process in time, prevent the occurrence of product quality accidents, and improve the reliability and stability of production equipment.
Real-time monitoring: Through the Internet of Things technology, real-time acquisition and monitoring of various data in the production process of wind power forgings to ensure that the parameters in the production process meet the requirements.
Abnormal detection: Through the analysis of the collected data, the intelligent monitoring system can timely find abnormal conditions in the production process, such as high temperature, abnormal pressure, etc., so as to take appropriate measures to prevent accidents.
Performance evaluation: Through the analysis of historical data in the production process of wind power forgings, the performance of production equipment can be evaluated and provide a basis for preventive maintenance of equipment.
Fault warning: Through the analysis of the data in the production process, the possible failure of the equipment can be found in advance, timely maintenance and maintenance to avoid the shutdown of the equipment in the production process.
- Application cases
A wind power forging manufacturer uses the Internet of Things technology to monitor and diagnose the production process intelligently. Through real-time monitoring of temperature, pressure, vibration and other parameters in the production process, abnormal conditions can be found and dealt with in time. At the same time, through the analysis of historical data, the preventive maintenance of production equipment is carried out, which reduces the failure rate of equipment and improves the production efficiency. After the implementation of intelligent monitoring and diagnosis, the production cost of the enterprise was reduced by 20%, the equipment failure rate was reduced by 30%, and the production efficiency was increased by 15%.
Iv. Conclusion
Intelligent monitoring and diagnosis of wind power forging production based on the Internet of Things is an effective means to improve production efficiency, reduce production costs and improve product quality. Through real-time monitoring, anomaly detection, performance evaluation and fault warning and other functions, intelligent monitoring and diagnosis technology can provide enterprises with timely and accurate production data and equipment information to help enterprises achieve accurate decision-making and optimize the production process. With the continuous development of Internet of Things technology, the application of intelligent monitoring and diagnosis will be more extensive, providing stronger support for the intelligent development of wind power forging production.
