Abstract: In the critical period of industrial transformation and upgrading in our country, the coal industry is facing deep technical innovation and systemic change. As an important basic industry of the national economy, the intelligent and digital transformation of coal processing has become a strategic proposition to promote the high-quality development of the industry. Shendong washing center as the industry benchmark, keen insight into the limitations of traditional production mode, in recent years in the loading system modernization continues to invest a lot of resources and energy, showing excellent forward-looking and innovative spirit. Through the automatic control of loading chway, intelligent diagnosis of equipment fault, fine upgrading of hydraulic system and continuous optimization of auxiliary system, the enterprise has made significant breakthroughs in reducing manual labor intensity, improving loading efficiency and equipment reliability and other key indicators. These improvements not only reflect the practical value of technological innovation, but also inject new development momentum into traditional coal preparation production. However, in complex industrial production practice, there are still many pain points and development bottlenecks in the traditional loading system that need to be solved. A series of challenges, such as the accuracy of car number and vehicle type recognition, real-time dynamic monitoring of coal stacking status, unattended operation of the whole process, and rapid response to emergencies, have become key bottlenecks restricting the improvement of intelligent level of coal preparation production. In the face of these deep technical problems, the introduction of artificial intelligence technology has brought revolutionary change to the traditional coal preparation production. Cutting-edge technologies such as machine vision, deep learning, and laser radar are gradually becoming important technical support for promoting the intelligent transformation of coal processing, and injecting new innovation vitality into traditional industries. Based on this, selected more than ten coal preparation plants under the administration of Shendong Washing Center as research objects, focused on the key production link of coal loading, and systematically explored the innovative application of artificial intelligence technology in coal preparation production. By introducing advanced machine vision and laser radar and other cutting-edge technologies, aims to break through the inherent limitations of traditional manual inspection and operation mode, and build a more accurate, efficient and intelligent loading condition monitoring and analysis system. This will not only have important practical significance for improving the intelligent level of coal preparation production, but also provide a reference technology path and practical experience for the digital transformation of traditional industrial enterprises, and set a new benchmark for promoting industrial technology innovation.