The power system is undergoing changes in terms of grid formation, technology foundation, and operational characteristics, which are placing higher requirements on the perception and cognitive capabilities of the current system. This necessitates the urgent promotion of new power systems construction, incorporating digital and intelligent technologies to serve the energy transformation. AI plays a crucial role as one of the key driving technologies for the digital transformation of energy. It encompasses an "exclusive AI" formed by the fusion of relevant theories, technologies, and methods of AI with the physical laws, technologies, and knowledge of power systems.
From the perspective of perception and cognition, the "exclusive AI" primarily consists of two research directions: 1) The application of perceptual intelligent technologies (such as image recognition) in scenarios like equipment defect recognition and construction site safety monitoring; 2) The application of cognitive intelligence technologies (such as knowledge question & answer and knowledge graph) in scenarios like power knowledge retrieval and intelligent question & answer.
By leveraging power production knowledge and AI technology, intelligent perception and cognition of the operational status can effectively meet the urgent needs of the power industry development. This Research Topic focuses on the application of image processing and knowledge reasoning in the power industry. It utilizes multi-source power industry image data, employing image intelligent processing, deep semantic knowledge mining, and other technical methods to achieve intelligent perception and cognition of the power system's operation status. The goal of this Research Topic is to enhance the digital and intelligent level of the power system and propel the construction and development of the new power system to a new level.
The Research Topic and its key technologies include, but are not limited to:
• New image processing technologies for identifying transmission and substation equipment defects.
• Pre-processing and enhancement technologies for multi-source power industry image data.
• Identification of hidden defects in transmission lines using image processing.
• Intelligent identification and fault diagnosis technologies for transmission and substation equipment defects.
• Binocular vision-based near-electricity safety distance detection technology for electric power operators.
• Multi-modal data and knowledge-driven power scenario understanding technology.
• Safety-risk determination technology integrating knowledge of electric power production and intelligent question & answer.
• Other application technologies of image processing and knowledge reasoning in electric power scenarios.
The power system is undergoing changes in terms of grid formation, technology foundation, and operational characteristics, which are placing higher requirements on the perception and cognitive capabilities of the current system. This necessitates the urgent promotion of new power systems construction, incorporating digital and intelligent technologies to serve the energy transformation. AI plays a crucial role as one of the key driving technologies for the digital transformation of energy. It encompasses an "exclusive AI" formed by the fusion of relevant theories, technologies, and methods of AI with the physical laws, technologies, and knowledge of power systems.
From the perspective of perception and cognition, the "exclusive AI" primarily consists of two research directions: 1) The application of perceptual intelligent technologies (such as image recognition) in scenarios like equipment defect recognition and construction site safety monitoring; 2) The application of cognitive intelligence technologies (such as knowledge question & answer and knowledge graph) in scenarios like power knowledge retrieval and intelligent question & answer.
By leveraging power production knowledge and AI technology, intelligent perception and cognition of the operational status can effectively meet the urgent needs of the power industry development. This Research Topic focuses on the application of image processing and knowledge reasoning in the power industry. It utilizes multi-source power industry image data, employing image intelligent processing, deep semantic knowledge mining, and other technical methods to achieve intelligent perception and cognition of the power system's operation status. The goal of this Research Topic is to enhance the digital and intelligent level of the power system and propel the construction and development of the new power system to a new level.
The Research Topic and its key technologies include, but are not limited to:
• New image processing technologies for identifying transmission and substation equipment defects.
• Pre-processing and enhancement technologies for multi-source power industry image data.
• Identification of hidden defects in transmission lines using image processing.
• Intelligent identification and fault diagnosis technologies for transmission and substation equipment defects.
• Binocular vision-based near-electricity safety distance detection technology for electric power operators.
• Multi-modal data and knowledge-driven power scenario understanding technology.
• Safety-risk determination technology integrating knowledge of electric power production and intelligent question & answer.
• Other application technologies of image processing and knowledge reasoning in electric power scenarios.
