2018In that year, our company began to implement the "Three-Dimensional Virtual Maintenance Training and Diagnosis Technology Application for Million-kilowatt Units" project at Laizhou Power Plant. This project will integrate data visualization, 2D and 3D integration, video fusion, 3D panorama, and virtual reality.VRAugmented realityARBy combining multiple visualization technologies such as), a three-dimensional model is constructed to form a maintenance and training platform for million-kilowatt units.

The system ultimately achieves a three-dimensional display of the structure and working principle of the main equipment, providing a comprehensive understanding of the equipment structure and working principle. Establish a realistic virtual interactive three-dimensional space environment, set up a three-dimensional visualization and intuitive training method, and realize equipment maintenance simulation training to make up for the deficiency of power plants that only have operation simulation. Through human-computer interaction devices, virtual maintenance training is conducted to comprehensively enhance the maintenance skills of employees. Establish a knowledge base and evaluation rules for the maintenance of major equipment, and conduct virtual maintenance assessment. By using 3D virtual technology, typical faults of the equipment are displayed, and the dynamic simulation and verification of the diagnostic results are achieved through changes in boundary conditions.

2014From the year to2017In that year, a series of projects were successively implemented, including the visualized large-scale machine precision diagnosis system, the visualized intelligent safety pre-control system for steam turbine generator sets, and the permanent magnet energy-saving transformation system. Based on the original precise inspection system, the direct impact on the operation of the unit has been achievedAOnline real-time monitoring of such equipment. With the support of massive data, not only has early warning of equipment failures and tracking of deterioration trends been achieved, but also the accuracy of the system's automatic diagnosis has been improved.