The 6th Wind Power Artificial Intelligence and Intelligent Operation and Maintenance Conference and the 5th Offshore Wind Power Construction and Operation and Maintenance Conference have successfully concluded

On July 3rd, the two-day "6th Wind Power Artificial Intelligence and Intelligent Operation and Maintenance Conference and 5th Offshore Wind Power Construction and Operation and Maintenance Conference" came to a successful conclusion in Qingdao.

1conference host

The next day's conference was attended by an associate professor from Shanghai Institute of Electrical EngineeringGaoxuehaiProfessor at Beijing Normal UniversitySibailuHosted meetings successively.

Image: Associate Professor of Shanghai Institute of Electrical EngineeringCardwells

Image: Professor from Beijing Normal UniversitySibailu

　　2、 Exciting Report

Continuing yesterday's excitement, on July 3rd, experts presented exciting speeches and reports on topics such as digital wind power and artificial intelligence, wire and cable maintenance and countermeasures, wind turbine blade health testing and fault diagnosis, and hybrid tower testing.

　　JulyOn the morning of the 3rd

Deputy Director of Consulting and Science Department of Shandong Electric Power Engineering Consulting Institute Co., LtdWang XiaochenShare the theme of "Digital Wind Power and Artificial Intelligence".

Chief Engineer of China Water Resources and Hydropower Research Institute/Beijing Zhongshui Science and Technology Haili Engineering Technology Co., LtdHuang HaoShare the theme of "Testing, Evaluation, Repair, and Reinforcement of Concrete Support Structures for Wind Turbine Units".

General Manager of Shenzhen Zhixin Microelectronics Technology Co., LtdWang ZhengShare the theme of "Wind turbine blade and spindle damage monitoring system based on stress wave technology".

Embedded Artificial Intelligence Product R&D Team of Ruiyuan Wind Energy Technology Co., LtdYang YongzhiShare the theme of "From Experience to Intelligence: Development Practice of the Wind Core RAG System for Huarui Wind Power".

Professor and doctoral supervisor at the School of Electrical Engineering, Sichuan UniversityZhou KaiShare the theme of "Common Problems and Countermeasures Faced by the Operation and Maintenance of 35kV Wind Power Collecting Line and Cable".

Associate Professor of Shanghai Institute of Electrical EngineeringCardwellsShare on the theme of "Development and Reliability Assurance Technology of AI Driven Failure Mode Knowledge Base for Large Wind Power Equipment".

　　JulyOn the afternoon of the 3rd

Professor at Harbin Institute of Technology (Shenzhen)Yu GangReport on "Multi source Data Fusion and Digital Twin - A New Paradigm for Monitoring the Health Status and Intelligent Fault Diagnosis of Wind Turbine Blades".

Professor at Lanzhou University of TechnologyLi Wanrun (represented by Zhao Wenhai)Share a report on the research on seismic resistance, vibration reduction, and health monitoring of large-scale wind power generation structures.

Director and Professor of the Brain and Intelligent Robotics Laboratory at Beijing Normal UniversitySibailuProduce a sharing report on 'Autonomous Operation and Maintenance Technology for Offshore Wind Power'.

Professor at Chongqing National Center for Applied Mathematics, Head of Intelligent Diagnosis Research TeamZhang FanghongReport on the Exploration of Wind Power Intelligent Operation and Maintenance Technology with Data Knowledge Model Decision Fusion.

Professor at Shandong Jianzhu UniversityQi XingjunShare a report on the method of wind turbine tower damage detection based on vibration testing.

Senior Professional of Testing and Experiment Division of Jiangsu Fangtian Electric Power Technology Co., LtdShi RenqiangShare a report on the failure analysis and prevention suggestions of high-strength bolts for wind turbines.

　　3、 Exhibition Area Prosperity

With the triple drive of policy support, technological innovation, and business model innovation, wind power has officially risen to become the main body of national power installation. This conference not only provides a technical exchange platform for wind power intelligent operation and maintenance, offshore wind power construction, and wind power intelligent manufacturing, but also accelerates the landing and application of cutting-edge technologies such as artificial intelligence, big data, and digital twins in the wind power field through deep integration of industry, academia, and research.

　　Thank you to all the experts and representatives for their participation. Looking forward to meeting again next year!