"In the global manufacturing strategy, the German industry 4.0, China manufacturing 2025 and the US industrial Internet is the strongest of these three is the United States represents the advanced technology, Germany represents the advanced manufacturing, China-made volume is the world's largest "These three strategies, the greatest impact on the world." Tongji University, vice president of Sino-German Engineering, Industrial 4.0 - Intelligent Factory Laboratory Director Chen said, "In our platform, the original only the first two, no industry Internet. Through the introduction of NI cooperation, this platform is also established, so now the laboratory system is very complete, can carry out a lot of work, each strategy to play their own characteristics, and finally to solve the problem of manufacturing in China 2025 and application contribution "recently, Tongji University - national instruments (NI) Internet industry joint experiment Center in Tongji Jiading campus officially inaugurated. The experimental center jointly built by Tongji University and NI, is the first industrial-4.0 Total Factor of intelligent manufacturing laboratory.
What is the Internet industry?
The Internet has created great value in the consumer field. From the era of PC to the era of mobile Internet, the value created by interconnection and interconnection has been increasing. The Internet application has become the capital darling. The traditional manufacturing industry has been neglected, and the manufacturing outflow is very obvious. US government alert. US President Barack Obama made it clear that in 2013, to "make the United States as new jobs and manufacturing field," to ensure that the next revolution in the manufacturing sector in the United States.
American industry began to consider how to replicate the success of the Internet in the consumer area to the industrial sector. Jeff Immelt, chairman and chief executive of GE, has written that we ignore the enormous value that IT technology "can create in the industrial world - a productivity boost of just 86,000 This is twice the size of the future Internet consumer market, and it is clear that the next wave of innovation will not be driven by the demand for on-demand services or video streaming. "
He said: "Now we need to apply the same energy and enthusiasm into the industry, committed to addressing the major challenges of health care, infrastructure, electricity and transportation and other aspects."
Therefore, the Industrial Internet Alliance (IndustryInternetConsortium) came into being in this industry organization established in 2014, now more than 200 members not only General Electric, IBM, Intel and NI and other US companies, including Huawei, Haier, including Chinese companies Europe, Japan and many well-known companies, as well as the University of California at Berkeley, MIT wireless network centers universities and research institutions.
Industrial Internet can be regarded as the US version of the industry 4.0, but still a slight difference, according to Industrial Internet Chairman Zhou Sizhe (JoeSalvo), "Industrial 4.0 will be transformed into a traditional factory for intelligent networking factory is another innovation in the manufacturing industry. Not only the manufacturing industry, but also all the basic industries that need to analyze data and information, such as home care, transportation, electrical energy and water treatment, are all applications of industrial Internet.
What is predictive maintenance?
Tongji University and NI co-operation of industrial Internet experimental center from the predictive maintenance, and gradually expand to all aspects of intelligent manufacturing, then what is predictive maintenance?
In order to show the real application scenario of industrial Internet, in February 2016 the Industrial Internet Alliance announced the status monitoring and predictive maintenance test platform, including nine test platform (now has expanded to 16), responsible for condition monitoring and predictive maintenance Test platform members are IBM and NI.
Condition Monitoring (CM) refers to the real-time monitoring of the operating status of a plant by means of a sensor mounted on the device. Predictive Maintenance (PM) analyzes the collected operational data to identify early degradations or failures of the equipment Signs, and give recommendations on the implementation of measures to inform maintenance personnel line maintenance or troubleshooting, thus minimizing equipment failure caused by shutdown losses, and reduce equipment maintenance costs. In addition, the whole process of monitoring equipment is also conducive to equipment manufacturers to improve equipment.
In the opening ceremony of the release of NI InsightCMEnterprise software is an advanced version of CM / PM test platform solution. The solution to the increasingly complex equipment monitoring problems, and properly solve the test speed and the amount of test data contradictions, with InsightCM, users can deepen the enterprise's assets and equipment for the status of aircraft maintenance and operation. InsightCM integrates with DIAdem, CompactRIO and other industrial networking technology platform of NI. It can carry out research on distributed sensor measurement, intelligent terminal processing, analysis and open communication, data management and other related fields.
There is no analysis of industrial data processing worthless
Made in China 2025 proposed ten years into the ranks of manufacturing power. However, the status of industrial development in China, the task of manufacturing in China 2025 is very difficult. China's current situation is high energy consumption, low added value, in the low-end value chain. The manufacturing process is the same as "drawing". Manufacturing depends on "manpower", and the factors that embody the characteristics of modern manufacturing, such as digitization, automation, especially technological innovation, are obviously insufficient. There is a big gap compared with manufacturing power.
To achieve the goal of manufacturing in China 2025, personnel training and the concept of change is the key. As Tongji University Communist Youth League responsible for the teacher said, the mainstay of Chinese manufacturing 2025 are now in the university, but the phenomenon of university education and industry out of touch for a long time, the university and industry work closely with college students in the campus stage can access to the industry's most Advanced technology and concepts is very necessary. Chen Ming Dean also introduced, Tongji University Industrial 4.0 - Intelligent Factory Laboratory as the Ministry of Education manufacturing and industrial 4.0 training pilot, has trained several groups of trainees, many industry associations have also commissioned Tongji related training, the University as a talent cultivation base not only to Do the basic knowledge training, but also to maintain the advanced nature, to enable students to access to the industry's latest knowledge and ideas.
In the concept, the intelligent manufacturing can not be simply understood as information technology and automation. "Intelligent manufacturing, interconnection, objects connected, which is the smart manufacturing and traditional manufacturing different, but the automation does not mean that the information is not intelligent manufacturing," Chen said, "the highest degree of automation of automotive production lines, the highest degree of information , But now the car production line is not an intelligent production line.Why? Automotive production line is a fixed production line, if the middle part of a broken, all other links have to be forced to shut down, after the automated production line must be a fixed production line? Dynamic production lines, directly controlled by the top of each link, this application must be more and more. Many companies are talking about intelligent manufacturing, but now do not understand this, and so we realize this, to understand the interoperability The meaning.
NI China Marketing Manager Tang Min also agree with this view, "equipment interconnection of large data generated if not effectively analyzed and dealt with, it will be worthless.Therefore, how to industrial value of the data is the fundamental intelligent manufacturing problem."
