LijunChen NaichaoLiang JiawenLi TingtingYan ZhanlinZhang Bing A review of indoor-orbital electrical inspection robots in substationsJ Industrial Robot the international journal of robotics research an

As the demand for electricity continues to grow, the importance of reliable and efficient electrical infrastructure has become increasingly crucial. One key aspect of maintaining this infrastructure is the inspection of electrical substations, which are critical components in the generation, transmission, and distribution of electrical power. To ensure the safety and reliability of these substations, regular inspections are required to identify any potential issues or defects that may arise.

In recent years, indoor-orbital electrical inspection robots have emerged as a promising solution to improve the efficiency and accuracy of substation inspections. These robots are designed to navigate through the confined spaces of a substation and perform a variety of inspection tasks, such as checking for corrosion, measuring temperature, and identifying potential defects in electrical components.

This review article aims to provide a comprehensive overview of the current state of indoor-orbital electrical inspection robots in substations. The authors first discuss the challenges and requirements of substation inspections, and then provide an overview of the different types of inspection robots currently available in the market. They also analyze the various features and capabilities of these robots, such as their mobility, sensing capabilities, and communication systems.

The authors then review the different methods and technologies used for substation inspection, including visual inspection, thermal imaging, and ultrasonic testing. They also discuss the advantages and limitations of each method, and how inspection robots can be equipped to perform these tasks more efficiently and accurately.

Finally, the authors highlight some of the key research and development trends in the field of indoor-orbital electrical inspection robots, including the use of artificial intelligence and machine learning algorithms to improve the robots' performance and decision-making capabilities.

Overall, this review provides a valuable resource for researchers, engineers, and practitioners in the field of electrical infrastructure maintenance and management. By highlighting the capabilities and potential of indoor-orbital electrical inspection robots, this article demonstrates how these technologies can improve the safety, reliability, and efficiency of substation inspections