The era of AI is approaching, and the industrial Internet is also setting off a new round of changes.

KJ2003X1-BB1  As a core part of the new infrastructure, the industrial Internet can accelerate the upgrading of traditional industries while promoting the cultivation of emerging industries, and has become a key element to achieve new industrialization. According to the data of the Ministry of Industry and Information Technology, the industrial Internet is integrated into 49 national economic categories, covering all industrial categories, and the core industry scale is expected to reach 1.35 trillion yuan in 2023.

KJ2003X1-BB1  “According to the current market dynamics and technological development trends, with the continuous development of artificial intelligence technology and big data, the integration of the two technologies in the industrial Internet can achieve more efficient and intelligent manufacturing and operations, and help enterprises better improve quality and reduce costs and savings.” Liu Shu, co-founder and technical director of Simo Technology, told First Financial News.

At the moment when AI applications are gradually landing, AI is penetrating more and more in the industrial Internet, and applications in industrial quality inspection, industrial vision, unattended, optimized scheduling, industrial brain, AloT equipment interconnection and other fields are gradually landing, and relevant enterprises such as Yonyou Network, Ding Jie Software, Seyi Information, and Hande Information are scrambling for industrial AI beachheads.

AI quality inspection application is relatively mature

At present, AI has a wide range of application scenarios in the KJ2003X1-BB1  industrial field, covering multiple links such as research and development, production, supply chain, sales and service.

Liu Weichao, vice president of Saiyi Information and president of digital products BG, told First Finance that at the research and development end, AI can help knowledge base management, product design optimization, simulation and simulation, and automated design; On the production side, AI can improve the efficiency of quality control, scheduling optimization and predictive maintenance. At the supply chain end, AI can be applied to demand forecasting, inventory optimization, and risk management; On the sales side, AI enables personalized marketing and sales forecasting; On the server side, AI can also provide support such as intelligent customer service and virtual assistants.

“At present, predictive maintenance and factory KJ2003X1-BB1  visual inspection quality management are the applications with high penetration of AI in the industrial field, and have achieved significant benefits in many industrial enterprises.” Liu Weichao said.

Among them, scrap steel identification is a typical application of artificial intelligence in the field of industrial vision quality inspection, with industrial vision + big data + algorithm as the core technology.

“In the field of scrap determination, we have been doing for four or five years, and now the domestic market share is the first, and the scrap recognition rate is more than 93%, which is better than other enterprises on the market.” Ye Xiulin, general manager of intelligent manufacturing division of UF Network high-end customer solutions business group, said in an interview with First Finance.

According to IDC estimates, the scale of China’s industrial quality inspection market will grow rapidly to 6.2 billion yuan by 2025, with a compound growth rate (CAGR) of 28.5% from 2020 to 2025. With the image and audio and video processing capabilities of AI large models making great breakthroughs, the accuracy rate of AI quality inspection will also reach a new level.

According to IDC data, in 2022, Innovation Qizhi ranked second only to Baidu Intelligent Cloud in terms of market share in the field of industrial quality inspection, and ranked first among independent third-party AI solution providers. Keyuan Wisdom has also launched AI-based industrial quality inspection products.