Ming smith intelligent Chen Jun: Intelligent manufacturing makes the industrial line more human

The 2017 “Dazhi Yunyun” Industry Development Forum hosted by the Hebei Provincial Department of Industry and Information Technology, the International Economic and Technical Cooperation Center of the Ministry of Industry and Information Technology, and the Xinhua News Agency Think Tank was held on May 18th in Langfang, Hebei Province. Chen Jun, Chairman of the Board of Directors attended and spoke.
It said that the current manufacturing industry's problems are that the product life cycle is relatively short, the product replacement is relatively fast, the investment pressure of enterprises to invest in the curing production line will be relatively large, and at the same time continue to meet market demand. So smart manufacturing solves these problems and makes the industry line more human. The following is a record of the speech:
Chen Jun: Ming Ming is currently one of the largest companies in China's smart manufacturing. Why can we develop in a short time? The main reason is the urgent need for transformation of China's manufacturing enterprises. Nowadays, the overcapacity of the traditional manufacturing industry can only solve the problem of overcapacity through a customized approach, and upgrade the original large-scale manufacturing to a small-volume customized production mode.
What Ming Ming is doing now is the intelligent manufacturing solution in the traditional manufacturing industry. We have industrial parks in 28 provinces across the country and have also taken on several national standards. Last year, the tax-included group had a sales income of 1.2 billion. Mingshi Intelligent is a group company and the second largest shareholder of Huanghe Cyclone (14.730, -0.49, -3.22%). At present, the problems faced by the manufacturing industry are that the product life cycle is relatively short, and the product replacement is relatively fast. The investment pressure of the enterprise to be put into the curing production line will be relatively large, and at the same time, it must meet the continuous demand of the market. Therefore, intelligent manufacturing solves this problem, making the industrial line more human, the labor cost is relatively high, and the intelligent manufacturing cost is reduced.
Many colleagues said that the smart manufacturing countries said that they are pushing, and enterprises do not have this demand. This is not the case. The company's own demands are still quite a lot. The most direct appeal is whether your intelligent manufacturing plan directly saves labor, improves efficiency, and improves quality. There are not many units in this program. The key to the application plan is to understand the process.
At present, we provide customers with intelligent design, intelligent industry, intelligent workshops and smart factories. With all the factories being networked, equipment, materials, personnel and warehouses are network nodes. If the production factors of the factory are all networked, there will be about 100 billion network nodes. Now the IPV4 solution is definitely not working, and it is necessary to upgrade to IPV6. The upstream and downstream of the industrial park can be done. The first step is to solve the equipment in the workshop, digital equipment and network equipment. We call infrastructure.
Second, the park.
Finally, the products that our customers produce to face market terminals can be ubiquitous in the access network. Our manufacturing companies directly read and sell each product through the cloud platform. The customer can make predictions and maintenance during the use process, and turn a simple sales product into a service.
The manufacturing company did not know what the market needs. We will know the needs of the market after the internal network and the external network are opened. It turned out to be just selling a product and now offers a full product lifecycle service.
A total of cloud platforms, on-site and off-site, public industrial cloud platforms are dedicated industrial cloud platforms, with professional networks, intelligent production lines, networked collaboration, personalized customization, and service transformation. Currently working on the intranet, factory cloud platform, this is a solution that many manufacturing companies need, must understand the process.
We put factory-level software on the industrial cloud platform, and can also be placed on the shared cloud platform of the industrial park. There is a core factory operating system that can easily find equipment materials, and the cost is very low. It is mainly optimized and processed, and does not need to be placed on the server.
We work with the Ministry of Industry and Information to make gateway specifications, and then verify the national standard in two years.
Now see the picture, we need a series of embedded equipment when we do the internal network, there are some machine controllers, for example, many system networking is very difficult, if the unified network of their protocols is very simple, similar to the factory-level IOS, There is a factory-level operating system, and these algorithms can be fixed in the cloud.
At present, the cloud has cooperation with Ali, Baidu and Huawei. Ali, Baidu, and Huawei have more than 40 points in the country, but the industry is still holding more of this data. Because the time relationship is not unfolded.
There are several applications of industrial data at present: equipment failure, diagnosis, and predictive maintenance.
Normal bearing curve, inner ring fault bearing curve and outer ring fault bearing curve, although the bed is still moving but there have been problems, the workpieces we machine will also be unstable, and the data will be judged whether the production process is stable. Embedded in our server in milliseconds to form decision-making anti-equipment equipment, the report is sent to the upper layer of the cloud.
Production order forecasting, cost monitoring, virtual simulation, product reliability, energy pollution monitoring, etc., process data monitoring. After the transformation of the complete field, starting from the logistics end, manufacturing processing, testing and measurement, storage and storage, after the transformation, the proceeds are quite impressive. At present, the manufacturing enterprises that can be transformed can solve the problem from logistics to finished products. Not much delivery. At the same time, these are less stringed through the bus, but the customer's revenue is objective.
What you are seeing now is the home appliance industry, the automotive industry, and the home industry. Originally speaking, the furniture field is very traditional. Nowadays, there are very few people, and they are decomposed. Each piece has a two-dimensional code, which greatly improves the production efficiency. This shelf is scanned and placed in which bookshelf library, which is traceable, which is fully customized.
Custom forklifts, a large number of industrial products have also begun to take industrial roads, can be fixed forklifts, loads can be fixed. Intelligent manufacturing solves the problem of production, and uses data to start the equipment, and it can realize the flexible control equipment with data through the network cable and the optical fiber.
Transmission and distribution, power distribution cabinets, high voltage cabinets, and medium voltage cabinets are also flexible and different. There are also rail transit, metallurgy and so on.
Industrial funds, if investing in a 5,000-square-meter factory, digital equipment transformation, network transformation, and routing all completed, the 5000 flat factory 3 T is the data center, this kind of investment is great, equipment transformation, network transformation investment is very big ,How to do? PPP (sound) way to do, the entire digital workshop, software, network, equipment package solutions combined with industry characteristics, process characteristics to customers, especially the new factory does not have to save money, the fund pays the fee, basically the downline of each product, Store or sell to share.
Intelligent transformation saves 30% and 40% of manufacturing costs. The time is long, eight years, seven years and ten years. Manufacturing is China's relatively large, Europe does not have such a large manufacturing industry, technology risks, CPS approach to flexible manufacturing risks. The company said that I want to vote but people can't find it. The product is iterative. After the money is invested, it will be over. The pressure is very high. I don't want to invest in fixed assets. The fund will vote for us to operate the equipment, as long as each product comes down. Talking about the proportion of the share, combined with technology, combined with financial solutions, customer experience is really very good. The current national business model is this.

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