Analysis of the important position of automation technology in China's industrial interconnection
the concept of data collection and communication by machine through interconnection, which we usually call machine to machine (M2M) or IOT, has existed for many years. Now some first-class enterprises have regarded this as a strategic market with great potential
digital technology continues to infiltrate all over the world, and some growth inflection points are also brewing in the field of new digital automation. Industrial measurement and control environment are changing rapidly: from wired system to wireless system, from traditional client server to cloud computing, from PC and centralized operator station to rich and diverse mobile devices, from local data management to upcoming big data, from a relatively large number of centralized systems to decentralized IOT
we are entering a world where intelligence is everywhere. The remote sensor will produce a large amount of data, and the cognitive processor will classify the information to obtain the required data information and send previously unpredictable knowledge and ability
the concept of data collection and communication between machines through interconnection, which we usually call machine to machine (M2M) or IOT, has existed for many years. Now some first-class enterprises have regarded this as a strategic market with great potential, although they view this change from their own perspective rather than from the overall situation
Cisco estimates that up to now, more than 99% of physical entities have not been connected. The interconnection of things proposed by Cisco refers to the integration of people, processes and data, and the transformation of information into behaviors that can create new value and unprecedented opportunities in any field. IBM's smart planet strategy has been launched for more than five years, and its purpose is also to establish an intelligent interconnected planet by using data and analysis methods
ge calls this technology industrial interconnection and emphasizes focusing on industrial applications. After the industrial revolution and the Internet revolution, growth is regarded as the third industrial wave. They believe that 46% of the global economy, or US $32.3 trillion in global production, will benefit from these new growth. They estimated that in the next 20 years, industrial interconnection will contribute $15-16 trillion to the global economy, which has formulated the medium and long-term energy technology development strategy and development plan by 2020. To support these predictions, GE has promised to invest $500million in R & D funds every year in the next three years. As the first large-scale commitment, it has far-reaching significance for promoting the rapid development of industrial interconnection
automation industry
IOT is one of the most disruptive technologies in 2025 released by McKinsey Global Research Institute. They believe that the development of this technology will be at the cost of the elimination of old technology and even the whole industry
since the 1970s, automation technology has only achieved incremental development around core areas, such as PLC, DCS and SCADA. The accelerated development of technology has led to the rapid elimination of products and a sharp decline in the system life cycle. Many hard experimental machines, which have been developed in China for several decades, are returning to the commodity supply chain
most automation enterprises have begun to participate in and promote industrial interconnection. They are clearly aware of the strong interest of large end users, especially in reducing costs and improving productivity. But the question is: which automation company is willing to predict these reports? Although it looks beautiful, there seems to be no strong evidence that they are approaching the critical point
for nearly two decades, dickmorley, the inventor of PLC, and I have been promoting peer-to-peer (P2P) control systems. We believe that distributed architecture will bring new advantages and benefits. When the application environment is more complex, the traditional hierarchical control is likely to have problems. Few actually reach hundreds of thousands of i/o points. In contrast, the intelligent automatic i/o system with algorithm response mechanism has no complex restrictions in theory. As long as the cost of the deterministic classification system is increased a little, and the circular arc surface of the indenter is in line with the test piece, the performance can be greatly improved. The huge investment of enterprises in industrial interconnection seems to have proved this
McKinsey warned that these disruptive technologies will have a subtle impact on the economy in 2025. If enterprises start planning coping strategies until then, it will be too late, and no one can afford the consequences
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