T/SZAI 004-2024 "Artificial intelligence + manufacturing" The application of artificial intelligence technology in the field of transmission equipment manufacturing and its technical standards

Scope

Main technical content: The standard sets out the basic requirements, operational procedures, and performance specifications for the application of artificial intelligence technology in the manufacturing of drive equipment, including intelligent sensing, monitoring and diagnosis, adaptation and optimization, interaction and collaboration, interconnection and integration, digital modeling and simulation, and data and information services. These include: intelligent monitoring and maintenance. By using AI technology, the operating status of drive equipment can be monitored in real time, potential failures and maintenance needs can be predicted, and predictive maintenance can be achieved; automatic tuning and control. By integrating AI algorithms, drive equipment can automatically adjust operating parameters according to load changes, optimize drive efficiency and energy consumption, and improve system response speed and control accuracy; fault diagnosis. AI technology can be used to analyze the operating data of drive equipment, identify abnormal patterns through machine learning algorithms, and achieve early diagnosis and warning of faults; modularization and customization. With the development of AI technology, the design and manufacturing process of drive equipment can be more modular and customized to meet the special needs of different application scenarios. The standard specifies that the evaluation of artificial intelligence drive equipment manufacturing systems should be conducted during the process of completing specific intelligent functions of the equipment. The evaluation process should include the following eight steps: defining the scope and objectives, defining the intelligent characteristics and functional indicators of the evaluation, generating test cases and inspection conditions, conducting general inspections, reviewing the design, executing tests, and drawing evaluation conclusions; when applying AI technology to the manufacturing of drive equipm

Development Information

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