The hottest search for intelligent manufacturing e

Looking for "smart manufacturing masters" to promote smart manufacturing is under pressure

Abstract: the manufacturing industry in China and Europe and the United States is at different stages of development. In fact, many manufacturing enterprises in China still have Research Technology Group Co., Ltd. which will further deepen research with production units. It is in progress between 2.0 and 3.0, so big data analysis, cloud computing or physical computing based on automation seem a little distant

under the customized demand of Europe and the United States, the delivery cycle of OEM is required to be shortened, and rapid assembly and production become a challenge. Upstream suppliers who are unable to connect the whole supply chain naturally have no way to join the rapid customization production team, so the integration of the whole industrial chain will be a trend

Gobang version of alpha dog chess machine, intelligent fried chicken shop, voice controlled dance manipulator... Intelligent manufacturing is not only on the factory production line

talent has become an important link in the process of achieving the goal of "made in China 2025". In recent years, Siemens, Mitsubishi, Phoenix Contact, Omron, Rockwell and other companies have similar automated competitions for college students

at the same time, the "development plan for a new generation of artificial intelligence" issued by the State Council recently also puts forward the goal of artificial intelligence talents

"due to the rapid popularization of manipulator, the ordinary workers in the original factory have no skills to operate equipment. Although they have been gradually strengthened in recent years, the speed is still too late." Yin Laibo, vice chairman of delta group subsidiary Zhongda Diantong, pointed out that in terms of cutting-edge technologies such as artificial intelligence, teachers in domestic colleges and universities are scarce

due to the lack of talents, some traditional manufacturing industries are at a loss in the face of how to automate, and even whether automation is needed

looking for "smart manufacturing masters"

the fourth "Delta Cup" College automation design competition is co sponsored by the relevant subordinate units of the Ministry of education, the Ministry of industry and information technology and the China Society of automation. It has three topics: intelligent equipment, intelligent manipulator and intelligent production and manufacturing. A total of 74 teams from 68 universities entered the finals, including 5 universities in Taiwan, 5 universities in Thailand and 3 universities in India

after four years, the theme of the competition has been from "discovering energy efficiency masters" in 2014 to "discovering control masters" in 2015, and has continued to "discovering intelligent manufacturing masters" in 2016 and 2017

in this regard, yinlaibo said that this actually reflects the rapid upgrading of "made in China 2025". From the perspective of the organizer and the reviewer, many of the students' works have undergone disruptive changes

if the previous two sessions also focused on point-to-point control and efficiency improvement, by 2016, some teams have begun to use robotic arms. This year, many entries have applied trajectory calculation, machine vision is widely used, and even some teams have begun to try artificial intelligence

liujiarong, general manager of Delta Electromechanical business group, said that the theme of intelligent manufacturing may continue to be used next year, but may change every year. In the future, as technology becomes more and more popular, machine learning and artificial intelligence will be new directions

for smart manufacturing upgrading, this is also the process of finding "smart manufacturing masters"

Lin Zhengbin, head of human resources of delta China, believes that these software talents are in a large gap, and delta will focus on training and cooperation with schools in the future

it is understood that Delta Research Institute has cultivated a team of more than 300 people in the past three to four years. In addition to hardware automation such as machines, research on how to integrate devices, how to collect and analyze big data, intelligent learning, cloud computing and other technologies

according to Liu Jiarong, delta is already in the industrial 3 5. What is needed is cross domain integration talents, covering industrial control, software network, big data analysis, etc

based on automation, delta built an intelligent manufacturing demonstration line in Wujiang factory in 2014. From 2014 to 2016, the number of workers required for the demonstration line was reduced from 70 to 35 and then to 10. The production line can realize the data collection of the whole process

Liu Jiarong pointed out that the investment return rate of automation is relatively easy to calculate, and the number of operators that can be reduced after the introduction of robot arms and automatic machines can be measured. But for intelligence, the results may not be easy to quantify. Therefore, we are still doing the early demonstration line, which is more cautious. "At first, only a few stations did automation, then extended to the automation and intelligence of the whole line, and finally launched horizontally."

so on the whole, the factory still needs a lot of labor. It is understood that there are still more than 20000 people in Wujiang factory

in this regard, yinlaibo pointed out that Delta's products are diversified and will not blindly pursue the ultimate. As a profit-making enterprise, it will find a balance between investment and reward, and not every process end will be replaced by machines

make up "industry 3.0"

Liu Jiarong said that the manufacturing industry in China and Europe and the United States is at different stages of development. In fact, many manufacturing enterprises in China are still in progress between 2.0 and 3.0, so big data analysis, cloud computing or physical computing on automation seem a little distant

it can protect flame retardants from being washed away by the water sprayed later.

Miao Wei, Minister of the Ministry of industry and information technology, once pointed out that China's manufacturing industry also needs to deal with the popularization of "2.0" and "3.0" supplementary courses, and solve the problems of product quality, industrial basic capacity, transformation and upgrading of traditional industries

in May this year, Delta will separate automation from the original energy management as a separate business, becoming one of the three new businesses of delta group to help customers make up lessons in "3.0"

"in the process of automation, we should import intelligence at the same time, so as to achieve the machine Taiwan Federation. Although enterprises may not know what data to collect at this stage, they know that they will move towards intelligence in the future, so at least build up the equipment and the ability to collect data." Liu Jiarong said that intelligent manufacturing is actually the integration of all data from the client to the supplier to the factory. Its purpose is to achieve rapid customization, which is the goal of intelligent manufacturing

in fact, some enterprises that are still making up lessons have felt the pressure from Europe and the United States. Especially for the OEM plants of European and American enterprises, the pressure of the supply chain of Hexcel, the world's advanced composite manufacturer, has become the driving force of the current automation transformation

under the customized demand of Europe and the United States, the delivery cycle of the OEM is also required to be shortened, and rapid assembly and production has become a challenge for the OEM. To realize customization, the brand chamber of commerce requires the whole supply chain to realize integrated connection. Upstream suppliers without the ability to connect naturally have no way to join the rapid customization production team, so the integration of the whole industrial chain will be a trend

take the footwear industry as an example. In the early 1980s, the footwear industry in developed countries such as Europe, America and Japan continued to transfer outward. China undertook a large number of foreign OEM orders due to demographic dividends, but now their requirements have changed

"some shoemaking foundries are required by large American manufacturers to have more automated production lines. In addition, they hope to achieve multi machine connection and be able to collect data. In fact, American brands are putting pressure on them to move towards automation." Liu Jiarong said

in this situation, if suppliers and OEM cannot keep up with the pace of industry 4.0, they may lose opportunities

Liu Jiarong further analyzed that before customization, European and American enterprises require OEM factories to be automated, which is also to prepare for setting up factories locally. Because customization has strict requirements on time, it may be more cost-effective to set up factories locally

but the reality is that for small and medium-sized enterprises, in addition to the lack of automation talents, the more difficult thing is that the management itself is still in a state of confusion

"we meet many customers and have no goal for intelligent manufacturing. This means that we need to start with consultants rather than providing automation equipment." Liu Jiarong stressed that it was all about talent