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The combination of artificial intelligence and industrial internet is the general trend.
There are also IT technologies in industry, including sensors, actuators, SCADA, MES and PLC. OT technology in industry includes materials, machines, methods, measurement, maintenance, management and models, which need to be combined, otherwise the industrial Internet will still be "two skins".
Operate in a flexible, efficient and energy-saving manner. Industrial artificial intelligence needs to integrate data technology (DT), analysis technology (AT), platform technology (PT) and operation technology (OT). The industrial field is dominated by enterprise private databases with limited scale. To realize the deep integration of artificial intelligence and manufacturing industry, it is necessary to strengthen data collection and integration in the manufacturing field, and enterprises must effectively realize digital transformation and vigorously develop industrial Internet. Classification of artificial intelligence technology
How to apply artificial intelligence technology in industry? First of all, we must clarify the application classification of AI.
Artificial intelligence can be divided into perception, understanding and action, including visual analysis, voice processing, knowledge expression and machine learning. Its purpose is to improve efficiency, reduce costs, improve customer experience and promote technological innovation. For traditional manufacturing enterprises, in order to achieve the integration of artificial intelligence, enterprises must first collect data, which requires better sensors and the Internet of Things, but most enterprises do not have it.
Traditional manufacturing industry is not good at the research and development of information technology, but some companies in the field of information technology are willing to enter the traditional industrial field and empower productivity together with manufacturing enterprises. The application of artificial intelligence in industry, including quality analysis, equipment diagnosis, energy efficiency management, procurement management, manufacturing and sales, can all come in handy.
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