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Workplace video surveillance and timely response to operational violations are critical to avoid operator injuries at power construction sites. Here, a system that combines remote substation construction management and artificial intelligence object detection techniques to intellectualize the power construction management process and identify violations during construction in real time is proposed. To improve the detection accuracy, a data augmentation method, including three operations: (1) object segmentation and background fusion; (2) partial erasing; and (3) other basic transformations, is also proposed. Six variants of the You Only Look Once (YOLO) model are trained as detectors for comparative experiments on a dataset collected at the practical construction site. The experimental results show that the detection precision and recall of the YOLOv5‐s model are 0.852 and 0.922, with high accuracy and low miss rate, which meet the requirements of robustness and accuracy in detecting realistic power construction violations.

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With the coming of the era of intelligence, the deep integration of artificial intelligence and normal education will become an important trend of education development. Normal students, as future teachers, are the key force to cultivate innovative talents in the era of intelligence. It is the current work and research focus to actively use artificial intelligence to improve the comprehensive quality of normal students. However, in the current rapid development of education informatization and intelligence, the development of normal education in China still faces four practical problems: the characteristics of normal students are not fully considered in teaching, and the quality of normal education needs to be improved; teachers’ level of education informatization and intelligence need to be strengthened; lack of comprehensive understanding of students’ personalized characteristics, and personalized teaching still needs efforts. Therefore, we try to build a deep integration framework of artificial intelligence and normal education, and explore the idea of using artificial intelligence technology to solve the four major problems of normal education development. Finally, combined with the design idea of the integration of artificial intelligence and normal education, this paper reflects on the problems that may be faced in the process of practice, and puts forward the corresponding solutions.