We are currently during the Fourth Industrial Revolution, which is revolutionizing the automation, monitoring, and analysis of the supply chain through smart technologies. Digital and intelligent transformation of power equipment operation and maintenance is an inevitable choice of building a new system and energy revolution. As a large number of new types of power generation equipment and power-consuming facilities are connected to the grid, the observability, measurability, and controllability of power equipment operation and maintenance are facing increasingly formidable challenges. The Fourth Industrial Revolution is being driven by the Industrial Internet of Things and cyber-physical systems, intelligent autonomous systems that use computer algorithms to monitor and control physical objects such as machines and robots. The application of digital and intelligent technologies in operation and maintenance can not only overcome the difficulties of incomplete information perception, low digitalization, and inaccurate evaluation but also greatly improve the perceptible and controllable capabilities of power equipment maintenance.
The application of digital and intelligent technology in operation and maintenance can not only overcome the difficulties of incomplete information perception, low digitalization, and inaccurate evaluation but also greatly improve the appreciable and controllable capabilities of power equipment maintenance. However, existing digital technologies have difficulty meeting the requirements in many areas such as calculation accuracy, calculation speed, safety evaluation, and visualization. Therefore, in order to comply with the rise of digital industrial technology, there is an urgent need to combine digital and intelligent technologies such as cloud computing, big data, Internet of Things, 5G communications, artificial intelligence, digital twins, precision sensing, GPS positioning technology, knowledge graphs, and blockchain to improve the digital and intelligent level of power equipment, so that we can work with machines in a new and efficient way. Therefore, given the current demand of the power industry, it is of great importance to thoroughly explore the application of digital and intelligent technologies to the operation and maintenance of power equipment.
We, therefore, welcome theoretical and experimental investigations in the following areas, but not limited to:
1. Digital theories, systems, and standards for the state assessment of power equipment;
2. Digital modeling methods for power equipment;
3. Special chips for power equipment and new sensing technology;
4. Information and communication technology serving the condition assessment of power equipment;
5. Mass multi-source heterogeneous data fusion and data management technology for power equipment;
6. Evaluation, diagnosis, and life prediction technology of power equipment based on data, models, and knowledge;
7. Application of digital twinning technology in operation and maintenance of power equipment;
8. Intelligence inspection technology for power equipment;
9. Integrated platform and application demonstration for digital operation and maintenance of power equipment;
10. Advanced electrical materials for power equipment;
11. Application of artificial intelligence and machine learning technology in operation and maintenance of power equipment
12. Application of Cyber-Physical System in operation and maintenance of power equipment
13. Other novel technologies for power transmission and transformation equipment.
We are currently during the Fourth Industrial Revolution, which is revolutionizing the automation, monitoring, and analysis of the supply chain through smart technologies. Digital and intelligent transformation of power equipment operation and maintenance is an inevitable choice of building a new system and energy revolution. As a large number of new types of power generation equipment and power-consuming facilities are connected to the grid, the observability, measurability, and controllability of power equipment operation and maintenance are facing increasingly formidable challenges. The Fourth Industrial Revolution is being driven by the Industrial Internet of Things and cyber-physical systems, intelligent autonomous systems that use computer algorithms to monitor and control physical objects such as machines and robots. The application of digital and intelligent technologies in operation and maintenance can not only overcome the difficulties of incomplete information perception, low digitalization, and inaccurate evaluation but also greatly improve the perceptible and controllable capabilities of power equipment maintenance.
The application of digital and intelligent technology in operation and maintenance can not only overcome the difficulties of incomplete information perception, low digitalization, and inaccurate evaluation but also greatly improve the appreciable and controllable capabilities of power equipment maintenance. However, existing digital technologies have difficulty meeting the requirements in many areas such as calculation accuracy, calculation speed, safety evaluation, and visualization. Therefore, in order to comply with the rise of digital industrial technology, there is an urgent need to combine digital and intelligent technologies such as cloud computing, big data, Internet of Things, 5G communications, artificial intelligence, digital twins, precision sensing, GPS positioning technology, knowledge graphs, and blockchain to improve the digital and intelligent level of power equipment, so that we can work with machines in a new and efficient way. Therefore, given the current demand of the power industry, it is of great importance to thoroughly explore the application of digital and intelligent technologies to the operation and maintenance of power equipment.
We, therefore, welcome theoretical and experimental investigations in the following areas, but not limited to:
1. Digital theories, systems, and standards for the state assessment of power equipment;
2. Digital modeling methods for power equipment;
3. Special chips for power equipment and new sensing technology;
4. Information and communication technology serving the condition assessment of power equipment;
5. Mass multi-source heterogeneous data fusion and data management technology for power equipment;
6. Evaluation, diagnosis, and life prediction technology of power equipment based on data, models, and knowledge;
7. Application of digital twinning technology in operation and maintenance of power equipment;
8. Intelligence inspection technology for power equipment;
9. Integrated platform and application demonstration for digital operation and maintenance of power equipment;
10. Advanced electrical materials for power equipment;
11. Application of artificial intelligence and machine learning technology in operation and maintenance of power equipment
12. Application of Cyber-Physical System in operation and maintenance of power equipment
13. Other novel technologies for power transmission and transformation equipment.
