◆Unified information, work platform, management platform, decision support, centralized maintenance; ◆The determination of fault locations, fault levels, fault causes, fault solutions and maintenance costs based on the expert diagnosis knowledge base of big data and artificial intelligence applications; ◆Eliminate information silos, achieve horizontal and vertical integration of business and professional data, and realize data sharing and centralized application. Automatic dimension evaluation Expandable remote diagnostic service functions, sharing the collective wisdom of experts.
◆The integrated platform forms an innovative management model, enabling remote unmanned inspection and intelligent control, effectively grasping the operating status of wind turbine units. ◆The technical system formed by the remote diagnosis expert knowledge base helps establish data assets for supervised equipment, improve the management of underlying data, standardize and purify from the basics, conduct all-round and multi-perspective control, reduce management costs, and accurately grasp the dynamics of abnormal data. ◆Reduce equipment damage and various safety accidents, effectively prevent major incidents such as tower toppling, severe bearing failures, and fires; Revolutionize traditional fault detection and repair, grasp the operational status of equipment, issue early warnings for initial faults, make maintenance work targeted, improve quality and efficiency, and reduce maintenance costs30%The above forms new work standards.