Research and Application of a Full Process Control Platform for Power New Energy Engineering Construction Based on AI and Big Data

Today, with the continuous development of technology, traditional power new energy engineering construction still involves a large number of manual tracking of project progress, manual collection of engineering data, and other traditional management methods. The degree of informatization is low, and there are many loopholes in the construction process, which bring uncertain factors to the progress and quality of the project. This article studies the construction of a full process control platform for power new energy engineering construction based on AI and big data. By studying the use of multimodal big data integration and fusion technology for real-time data collection, analysis, prediction, and decision support during the construction process, utilizing big data technology to efficiently calculate data information at construction nodes, and providing efficiency analysis reports and quality and safety reports for each node throughout the entire construction process. The control platform can monitor construction progress, allocate construction resources, and supervise construction safety in real time. It uses AI prediction models to optimize the allocation of labor, materials, and other resources, reduce waste generated during the construction process, and ensure construction safety. The platform develops a fault diagnosis and warning function for the entire construction process, quickly identifying potential problems through AI algorithms, taking measures in advance, and avoiding construction interruptions. After the system was developed and launched, it significantly improved the construction efficiency and management level of power new energy projects, and reduced implementation costs. This study has important guiding significance for the efficient and safe construction of future new energy projects.