Operation Detection System of Transmission and Distribution Lines Based on Artificial Intelligence

With the development of the social economy, the demand for electricity is constantly increasing, and the number of power grid equipment is showing a linear growth trend, equipment maintenance work is facing significant challenges. The status of distribution equipment is related to the operation quality and efficiency of the power system. It is extremely important to attach great importance to the status maintenance of distribution equipment and seek efficient and reliable status maintenance techniques. This article uses deep learning algorithms to construct an intelligent detection system for the operation of transmission and distribution lines. The research results indicate that the system can significantly improve the accuracy and efficiency of fault detection in transmission and distribution lines, reduce human misjudgment, and enhance the level of operation and maintenance management. For the four types of line states, the highest detection accuracy of our method reached 0.98. The concluding opinion holds that the operation detection system for transmission and distribution lines based on artificial intelligence is an important direction for technological innovation in the power industry, with broad application prospects and promotion value. In the future, algorithm models should be further optimized to improve system performance and better serve the construction and development of smart grids.