There are more than a dozen kinds of bad problems such as chromatic aberration, scratch, pollution and inclusion in the cold rolling process of steel plate. In the past, manual inspection, the sampling rate was up to 45%, and the testers were also very easy to visual fatigue. After using machine vision detection, not only real time was realized. Inspection, the sampling rate is increased to 91%, and the plate can be automatically graded.
This machine vision inspection system developed by Lenovo Big Data has been put into use in several steel mills in China. Machine vision is just one of many solutions for Lenovo Big Data enabling manufacturing.
Build a demand forecasting model with big data algorithms. With machine learning and knowledge maps, Lenovo Big Data accurately predicts steel demand for a steel industry customer and accurately images downstream manufacturers. Compared to previous expert forecasting methods, forecasting accuracy Significantly increased to more than 92.2%, effectively reducing inventory costs by tens of millions of dollars, corresponding to the product inventory cycle turnaround time reduced by 20%.
——Based on Lenovo's collaborative manufacturing support platform, Lenovo Big Data completed a car marketing system, customer service system, after-sales system, manufacturing system, vehicle network system multi-service system access for a passenger vehicle enterprise, based on big data algorithm, The efficiency of intelligent diagnostic analysis of business anomalies has increased by more than 60%, and the operating cost has been reduced by 10 million yuan a year.
——With the Lenovo Big Data IoT platform, Wuhan Petrochemical integrated the historical data of the catalytic cracking unit with the real-time production process data. Through intelligent processing and mechanism analysis, it solved some key problems that traditional industrial software could not solve, and realized the device. The overall optimization of the process chain further promotes the intelligent transformation of enterprises.
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At the '2018 China International Industry Fair' held in Shanghai recently, Lenovo Big Data, which was exhibiting for the first time, launched three heavyweight products - Industrial Big Data Solution, Industrial Internet Platform Preview and Internet of Things Platform, for China. Discrete manufacturing companies offer a viable route from 'manufacturing' to 'intellectual creation'.
Tian Rihui, vice president and chief researcher of Lenovo Group, general manager of Big Data Business Unit, said that after the full deployment of big data and artificial intelligence, Lenovo’s 2,500 IT team has reduced 1,000 in less than two years, but its efficiency has improved. Lenovo's Wuhan plant, which manufactures a full range of mobile phones and tablets, enables efficient docking, collection and processing of production line and edge data, thereby improving the health of critical equipment, reducing throwing rates, improving overall equipment efficiency, and greatly optimizing products. And the yield of finished products, improve monitoring and maintenance efficiency, let the factory's lean production to a new level.
Lenovo Big Data's data intelligence products and solutions are providing support and services to nearly 100 domestic manufacturing companies such as steel, building materials, electric power, and new energy, as well as discrete manufacturing companies such as automobiles, precision machinery and electronic appliances.