Under The Epidemic Situation, Industrial Intelligence Enhances Traditional Manufacturing Industry'S Immunity.

Digital brain empowerment, smart Factory online... Under the epidemic situation, industrial intelligence enhances traditional manufacturing industry's immunity.

The new infrastructure of textile workshop is rising, and the temperature of workers is still irreplaceable.

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Intelligent mechanical fire control, artificial intelligence quality control identification, data mining deep transformation...... The traditional textile enterprises produce at least 200 thousand tons of nylon per year, at least 1100 workers. In the Heng Shen holding group, this figure is only 420 people. A new infrastructure with big data, artificial intelligence and industrial Internet as the core is speeding up in the textile workshop, helping the traditional manufacturing industry to "counterattack" under the epidemic situation.

The tens of thousands of tons of raw materials transported to the wharf can be directly transported to the factory area through special pipes without loading or unloading vehicles. When many textile companies are still busy looking for workers to return to work, all the links in the production line of Heng Shen holding group in Fuzhou, Fujian province have achieved the "intelligent brain" full process control. Now, Chen Jianlong, the chairman of the company, has begun to plan the next stage of production layout and intelligent transformation of the production workshop.

The combined weighted starting rate is 92%, the worker return rate is 97.4%, and the capacity recovery is over 110%. Looking at the real-time jumping data on the "smart center" screen, Chen Jianlong sighed: "the new infrastructure in the workshop, let hang Shen run in front of the epidemic."

"Intellectualization" to solve the problem of resuming work

In March 20th, in the Li Heng polyamide production workshop under the Heng Shen holding group, 3 high-speed spinning and slicing production lines are running efficiently, and the production equipment in the more than 5000 square meter workshop is controlled and monitored by the operator in the central control room. At the scene, 15 workers wore masks and made use of intelligent production equipment to achieve "zero touch".

On the same day, in the post spinning workshop of Heng Shen synthetic fiber technology Co., Ltd., 6 kilometers away from the polyamide polyamide production workshop, the yarn was stretched, twisted, twisted, and twisted among the machines. 30 workers were wearing shuttle in the anti static clothing.

In Heng Shen holding group, intelligent equipment such as automatic wrapping machine, mechanical arm and automatic packaging line has been widely used in the production line, which makes the shortage of labor force rapidly add to the production gap during the epidemic period and ensure the smooth operation of the production line.

"Intellectualization helps us reduce labor demand to restore production capacity to a minimum." Mei Zhen, general manager of Heng Shen synthetic fiber technology Co., Ltd., told reporters that the traditional textile enterprises produce at least 200 thousand tons of nylon per year, at least 1100 workers, while in Heng Shen, the figure is only 420.

At present, although the epidemic has not yet been lifted, Meishan has begun to promote the acceleration of production capacity brought by intellectualization.

At 9:30 in the morning, in the finished product workshop, Mei Zhenzheng was busy discussing with the side technicians about the newly built "new infrastructure" project, the industrial intelligent camera. The industrial intelligent camera must load millions of products' quality and appearance information, and realize the centralized and integrated inspection of the appearance of products, so as to reduce a lot of manpower input. In Meishan's words, "the product is out of line. There is no need for manual inspection."

According to the briefing, the intelligent transformation project will be used for the appearance control of silk cake and so on. Meishan gave the reporter an account. After the completion of the project, the labor cost could be saved by 4 million 800 thousand yuan per year, and the passing rate of the product after transformation is expected to increase by 0.5%, which will create more than 35 million yuan per year.

"Digital brain" brings global synergy

Forbont, the world's top buyer of reverse takeover, was promoted to the largest caprolactam producer in the world. He pioneered the whole industrial chain of "cyclohexanone caprolactam polymerization spinning spinning plus texturing weaving dyeing finishing". In recent years, Heng Shen, with 21 branches and 7 R & D laboratories in the world, has become a "world factory".

However, faced with the problem of industrial collaboration across the Eurasian continent, the local textile enterprise, started by a "mosquito net factory", does not have much experience available.

"Even if we have the most advanced equipment in the world, replacing machines with machines, it does not mean that we can achieve intelligent transformation." In the view of Chen Jianlong, chairman of Hang Shen holding group, only by linking the industrial collaboration network to "heaven", can we learn from the "new infrastructure" to "digital brain", and the intelligent factory can have the soul.

Chen Jianlong showed reporters on the tablet computer the "rudiment" of Heng Shen's "digital brain" intelligent management platform. The management system based on the "SAP ERP" framework realizes the deepening application of the IoT (Internet of things) +SaaS (software integration) +AI (Artificial Intelligence) system, integrates all the data of manufacturing, R & D, logistics and warehousing, and realizes the real-time acquisition and intelligent mining of "production, supply, marketing, human, financial and material" data.

Reporters found that through the "digital brain", whether it is located in Fujian Changle Lianjiang, Jiangsu Nanjing's subsidiary, or in Holland Maastricht factory workshop, Chen Jianlong can get real-time production screen and production capacity, inventory and other kinds of data and generate intelligent reports, which allows enterprises during the epidemic period to adjust the production structure, allocation of production targets, and reduce production across the region. Inventory consumption is possible.

"In the past, the R & D center in Europe spent about 17 million euros on R & D funds each year. Now, through the" digital brain ", the same research and development projects only need to invest 8 million 500 thousand euros, which is the efficiency of synergy. According to Chen Jianlong, past cross regional information transmission takes five or six days. With the intelligent decomposition of the "digital brain", the delivery cycle has increased significantly from the previous one or two weeks to the current 4 days.

Behind the machinery are irreplaceable workers.

At 7:45 in the morning, Yang Yue, engineer, will appear in front of the computer screen in time, and check the product index data transmitted by the 6 post spinning workshop. The data were loaded in 8 forms, recording the index parameters of the 22 categories of 3 categories of physical properties, dyeing and appearance of each machine produced in the workshop. There are 110 post spinning equipment owned by the hang Shen group, with an average of more than more than 2200 required daily inspection and processing. "It takes half a day to see and sort out the data," he told reporters.

"Product wool yarn rate data abnormality, open spinning 1 days later remain high, check whether the mechanical parts wear aging?" "Stiff wire or tight spots occur frequently, and the production process needs fine-tuning." Yang Yue, who has 9 years of experience in textile work, will find anomalies from these data and analyze the data to provide workers with abnormal causes and suggestions for improvement, and follow up the whole process.

In the eyes of many colleagues, Yang Yue's role is like the brain in "smart factory", which excavates the value of data in huge amounts of data. In order to improve the automation level of data mining, Yang Yue and colleagues are studying the expression rules of abnormal data, trying to develop new analysis system to make the anomalies on the production line more efficient and effective, and reduce the error rate of manual inspection.

"Intelligent machines or digital brains are meant to help workers achieve higher quality production and labor." In Yang Yue's view, he did not worry that he would be replaced by the automation system, nor was he worried that workers would be replaced by intelligent devices on the production line.

He and the other two engineers in the technology center came from the production line, and monitored and collated the production data of polymerization, pre spinning and post spinning respectively. "We can be here because we have the ability and experience that machines do not possess." Yang Yue told reporters: "the temperature of workers is irreplaceable."