Four major scientific and technological problems o

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Four major scientific and technological problems of industrial interconnection to be solved

What are the scientific and technological problems of industrial interconnection? I'm afraid it is an issue of great concern to the industry and industry, because they are both scientific and technological issues and application problems. At the 2019 industrial interconnection summit, many experts shared their wonderful views

challenge 1: network and security

Huang Tao, a professor at Beijing University of Posts and telecommunications, believes that network and security are important challenges we see at present. First, the Internet has always been consumer oriented, but the new industrial demand has subverted the fixed technology of telecommunications in the previous era. Therefore, at the network level, both inside and outside the factory, it faces many challenges. The contradiction between efficiency and certainty in the traditional teaching process has not been solved

second, cloud and data center are becoming more and more important. At present, more than 60% and 70% of the global traffic is brought by cloud computing. The big problems in this are artificial intelligence, big data, etc., which are inseparable from computing power, especially edge computing. The interaction and collaboration between so many cloud computing and edge computing are very complex. In the era of industrial interconnection, the interaction between public and private clouds, that is, hybrid cloud or multi cloud management, or cloud side collaboration, involves how to allocate resources and how to get through virtualization, which is a great challenge and also contains great value

third, a big problem in the network field is security. Industrial enterprises used to be very closed, and the security challenge was not so big. It was a hardware problem. Now, after some industrial enterprises of scratch testing machine are on the cloud, the security has become very complex, including cloud security, edge security, and internal protocol security. If it is solved in isolation, it cannot really meet the needs of the industry. Therefore, it is necessary to explore how this will also have a certain impact on the development of the aluminum industry. There can be a unified security system with virtualization

Challenge 2: Data Management

Wang Chen, chief engineer of the National Engineering Laboratory of big data system software of Tsinghua University, believes that data management on industrial interconnection is very challenging

first, the problem of efficient query of a large amount of data used in industry is not in the same order of magnitude with the data volume of commercial IOT and industrial scenarios. For example, in the field of wind power, the acquisition frequency of vibration data on the fan will reach the millisecond level and below, which is the acquisition frequency of tens of thousands of Hertz. How to store and query such data is a particularly big challenge. There are also real-time databases, which do not solve this problem well, which is the efficiency of data management

second, there are two unavoidable problems in data utilization. One is data governance, that is, data quality. In industry, the quality of data returned by machines is worse than that generated by people. Due to the acquisition accuracy of the sensor itself and the gradual interference of the environment, data packet loss will occur. How to correct it? This is closely related to industry and is also a very open issue

another problem is data integration, which is very challenging, because traditional data integration is basically the same or similar data integration, but back to industry, discrete manufacturing industry should consider data integration according to dynamic changes, and process manufacturing industry should see the changes of timing in different processes. These have gone beyond the scope of traditional data management

challenge 3: key technology

Zhao Gang, assistant to the president of Beijing University of Aeronautics and Astronautics, said that industrial interconnection is surnamed gong or Xin? In fact, manufacturing is the waist of industrial interconnection. Without it, it can't be straight. He believes that industrial interconnection faces challenges at the key technical level

first, the industrial model. The impact of interconnection is very great, especially as China becomes the second largest economy and soon becomes the first largest economy, there will be more and more multinational enterprises. In multinational enterprises, the industrial organization model is different from the past. How to seek the lowest cost and the highest efficiency depends on Internet technology. For manufacturing itself, interconnection seems irrelevant, but today's industrial organization mode has changed, which originally required human interaction. At this time, mobike bike, the new mobike bike (internal code "Feng Qingyang") launched in April, adopts the intelligent means of Dow polyurethane material - polyurethane solid wheels. One of the core technologies is the technology of industrial software. Industrial software is a very important direction for the development of industrial interconnection

second, the key technology. In the process of intelligent manufacturing, the requirements for protocols are very high, including real-time performance and fault tolerance. For more than a year, 5g technology led by China has made us feel that this is an opportunity. In the future, there will be no cables in the workshop. It is a wireless workshop environment. In this case, for the whole CNC system, the feedback time requirements of the machine, etc., this is the problem that communication people want to solve

challenge 4: blockchain

Professor Liu Erwu of Tongji University believes that blockchain technology needs to be introduced to solve security concerns in applications. Industrial interconnection is mainly concentrated in the industrial cloud, whether it is equipment on the cloud, production process on the cloud, or some operations also need to be on the cloud. Liu Erwu believes that the key is the problem of security, and the delay is still low, because a larger delay may be a lower yield and efficiency at best, but the core formula of the enterprise or the production and manufacturing process need to solve the security problem

at present, major companies may do some small-scale applications, but although PAAS has been established, the largest platform of industrial interconnection app is only more than 200, which obviously does not match the demand. In other words, although PAAS is slowly rising, many companies are still waiting to see whether the core things will be revealed

if blockchain can be introduced into industrial interconnection, it is a good opportunity. At least several problems can be solved, one is transparency, the other is traceability, and the most important thing is security. Blockchain itself has three elements: scalability, distribution and security. In the environment of industrial interconnection, we should pay more attention to security and leave the other two aspects to the cloud

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