The hottest new era of AI empowerment

  • Detail

AI empowers a new era ②

CNR Shanghai, September 19 (hanxiaoyu, fuwenjie) according to the voice of economics daily finance and economics, AI has become the core driving force of a new round of industrial reform, and is having an all-round impact on the economy, society and life. With the continuous development of AI technology in China, AI and related technologies have also brought new opportunities for the transformation and upgrading of the manufacturing industry. AI technology, as a productivity tool, will cut into the existing mature industries and bring efficiency improvement to the whole industry. It can be said that artificial intelligence has given manufacturing more vitality, so how to equip the manufacturing industry with a "smart brain"

entering the AI experience area of the 2018 World AI conference oil tank Art Park, an inconspicuous embroidery machine is embroidering the words "2018 World AI conference" on the cloth according to the established procedure. According to Wang Yaping, a staff member at the booth, there is actually a huge industrial Internet platform behind the small embroidery machine, which can not only monitor and intelligently configure the embroidery equipment in real time, but also provide users with customized embroidery patterns, and send operating instructions to the corresponding industrial embroidery machine to help enterprises realize the transformation from "selling products" to "selling services"

wangyaping, an employee of Shugen Internet Technology Co., Ltd., said that there is still a gap with advanced countries in the overall level. The biggest difference between industrial Internet embroidery machine and traditional embroidery machine is that it can realize the equipment on cloud and platform. So as to realize remote monitoring and real-time fault monitoring and early warning of equipment, including future market prediction based on big data analysis. The solution provided by root cloud for the embroidery industry can help downstream equipment use enterprises improve their efficiency by 25%, while operating costs can be reduced by 20%, mainly to achieve the functions of improving quality and efficiency, reducing costs and upgrading

as a first-class technology manufacturing enterprise in China, Foxconn also showed the case of using AI to empower the manufacturing industry. In the traditional factory service system, CDA air compressor and ice machine are large users of electricity, and the power consumption can reach more than 60% of the factory service. Faced with this problem, Foxconn industrial interconnection and Tianze Zhiyun jointly developed a smart factory energy management system. After connecting the data of key energy consumption equipment, it uses intelligent algorithms to accurately analyze the factory data, so as to accurately predict the demand, so as to intelligently regulate the startup volume of energy consumption equipment

Liu Zongchang, chief technology officer of Beijing Tianze Zhiyun Technology Co., Ltd., said that this system has been used in Foxconn's internal panel manufacturing plant. In the factory management system of this plant, air compressors and ice machines account for more than 60% of the total energy consumption. In this application, we optimized the energy consumption of the air compressor by 8.5% and the energy consumption of the ice machine by 2.8%. Together, these two will bring them more than 3.5 million direct energy savings every year. Easy to operate

in addition to playing a big role in energy saving and consumption reduction, artificial intelligence is also applied to product quality inspection and production process monitoring. At the exhibition site of Foxconn industrial interconnection, an 8K camera is facing a circuit board, and the components of different sizes on the circuit board can be clearly seen on the screen on the side. According to Liu Zongchang, the smallest component on this circuit board is only about 0.2mm, and the mounting accuracy of this precision cannot be detected by the naked eye. In the face of smaller and smaller components in the future, Foxconn industrial interconnection applies 8K ultra-high definition image technology to the manufacturing industry, and introduces 8K images into AI learning auxiliary inspection, making micro nano level detection possible. At present, this technology is also applied to the mold manufacturing before the launch of new mass production

"Using 8K technology can make the image of the product very clear and microscopic, and this image will become a very useful data. Next, train the model of artificial intelligence to automatically detect the quality of the product. In addition, it can be used as the monitoring of the production process. What should be paid attention to in the maintenance of the processed tension machine? During the process, whether there is some wear on the cutting tools. Under normal circumstances, use a normal camera to see these No. " Liu Zongchang said

The development of science and technology has always been closely linked with the development of industry. While AI empowers traditional industries, it also worries some people. Will AI replace and subvert traditional manufacturing? At the main forum of the 2018 World AI conference, as an AI technology enterprise, Tang Xiaoou, founder of Shangtang technology and professor of the Chinese University of Hong Kong, said that there is no boundary between AI and traditional industries, and the development of AI will empower all industries. He believes that in order to achieve the integration of AI and industry, AI enterprises must first be able to understand different industries and establish win-win cooperation with various enterprises. Tang Xiaoou: "there is no AI industry, only ai+ industry. AI needs to cooperate with traditional industries. This relationship is combination, empowerment, not subversion. The value of AI is to help traditional industries improve production efficiency."

artificial intelligence makes life more convenient and manufacturing more efficient. These structures make light unable to pass through efficiently

Copyright © 2011 JIN SHI