Interpretation of the hottest terms intelligent ma

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Interpretation of terms and convenience of programming: intelligent manufacturing is different from artificial intelligence

intelligent manufacturing. It is famous with national strategies such as industry 4.0 and made in China 2025. However, the understanding of all parties varies greatly

intelligence is essentially the induction, cognition and application of all life systems to natural laws. Human intelligence is the highest representative of all kinds of intelligence. This is a profound essence of human beings. And all kinds of man-made systems (such as machines and equipment) that have the ability to imitate, expand or even exceed part of human intelligence can be called intelligent systems. Such as intelligent production, intelligent equipment, intelligent products, intelligent materials, intelligent hardware and other "intelligent XX", all belong to a subset of intelligent systems

intelligent manufacturing is different from artificial intelligence. The history of intelligent manufacturing originated from the relationship between machine and human. The function performance of early machines could not meet people's wishes, and it was difficult for people to control the whole state of the machine. In the age when machines are not intelligent, we can only rely on human intelligence to make up for it

early "intelligent manufacturing" is the concept of "intelligent manufacturing system" formed in the 1990s. It is a man-machine integrated intelligent system composed of intelligent machines and human experts, which is more simply called "expert system". This is the product of the second rise of artificial intelligence (AI) in the information field in the late 1980s

this definition is based on AI. From the perspective of industry at that time, it has not much connection with manufacturing. At that time, the "intelligence" expected by AI people was realized by "agents" (also translated as "intelligent agents"). In addition to the high similarity in terms, in fact, there are obvious differences between the connotation of "intelligent manufacturing system" in the 1990s and today's "intelligent manufacturing" in terms of the meaning of intelligence, the scope of manufacturing, the integration and sharing of resources, and the volume of data

for example, the "intelligence" commonly talked about at present can be defined as the sum of industrial intelligence, artificial intelligence and other kinds of intelligence, which has universal significance. Artificial intelligence based on information science cannot represent industrial intelligence based on industrial technology, nor can it represent CPS intelligence generated by the cross-border integration of the two. Industrial intelligence is really widely used in industry and has been supporting industrial development for hundreds of years

therefore, the intelligent meaning of intelligent manufacturing is related to the early AI, but there are also obvious boundaries, which cannot be simply crossed or equivalent

the "twenty word motto" of intelligent systems

intelligent manufacturing is inseparable from the construction of various intelligent systems, from intelligent products to intelligent production lines, from intelligent logistics to intelligent services, from intelligent organizations to intelligent enterprises

compared with the cognitive ability and decision-making process of human brain, intelligent system has five obvious steps: state perception, real-time analysis, autonomous decision-making, accurate execution and learning improvement. The expert group of AVIC group summarized the first 16 words of the five features, and the author added the last four words, thus forming a complete closed loop. It can be used as a "twenty word proverb" to identify the characteristics of intelligent systems

Jinan new era assay instrument Co., Ltd. changes the experimental machine into spring change experimental machine, wire change experimental machine and material change experimental machine

the "20 word proverb" of intelligent manufacturing integrates all intelligent systems to the greatest extent, and clearly marks a boundary, that is, intelligence is not only derived from artificial intelligence in the information field, It also includes industrial intelligence and other types of intelligence from the industrial field

in the "20 word proverb", in addition to "state perception" and "precise execution", other steps need to be involved in the calculation function. Obviously, this requires a computing kernel and mature cyber technology. Therefore, a core technology for intelligent manufacturing is "CPS (cyber physical systems)". (see the term CPS in the fourth part of the project)

the basic logic to realize CPS is to embed knowledge and algorithms into software, software into hardware, and hardware into physical systems, so as to form a CPS system with various forms, but if the tensile strength of one specimen does not meet the requirements, the logic is consistent. Intelligence has rich connotation and multi-channel implementation methods, and CPS is an important implementation carrier that applies human intelligence in the form of digital knowledge in the manufacturing field

definition of Gongsi 100 terms

intelligent manufacturing is a digital, networked, knowledgeable and self-organizing manufacturing ecosystem. In addition to the traditional elements of cost, efficiency, quality and time, it is a huge and complex system that fully considers the complex relationship between machines, products and people

a top-level intelligent manufacturing system needs to have five basic steps: state perception, real-time analysis, independent decision-making, accurate execution and learning improvement

the core element of intelligent manufacturing

there is no doubt that digitalization is the foundation of intelligent manufacturing. Without digitalization, there will be no constant intelligent system and open intelligent system. Without the support of various digital infrastructure, the digital world in CPS cannot normally play its intelligent "enabling" role

the so-called digital equipment is a general term for all kinds of digital software, hardware, networks and other equipment. The wide application of digitalization in industry began with the early computer-aided design CAD and manufacturing cam. Digitalization provides a powerful R & D means for product definition and modification. For example, the Boeing 777 built by Boeing in 4 and a half years is much better than the Boeing 747 built in 24 years. Digitalization R & D means is the key

digitalize everything that can be digitalized. Whether it is the digitalization of R & D means, service mode, or product itself

networking at the same time: Connecting everything that can be connected. Digitalization and networking reflect each other, realize the ubiquity of networks, and create a good digital infrastructure. The next logical step is to realize the free, smooth and orderly flow of data

however, intelligent manufacturing still needs more complex factors to realize the liberation and flow of data

this is the third feature of Intelligent Manufacturing: ubiquitous knowledge supplied on demand. Data is the carrier of knowledge, but not all data have the value of knowledge. With the help of knowledge, we can realize the recombination of the digital world. Moreover, in the future, in addition to people, cyberspace can also automatically generate knowledge, which is the future scenario of knowledge work automation defined by McKinsey. Knowledge is everywhere. It guides people to do the right things at the right time, in the right place and in the right way at any time, so that all physical entities can be accurately controlled. Ubiquitous knowledge, like water, gas and electricity, will become one of the basic elements to maintain the operation of an intelligent society

after the realization of digitalization, networking and intellectualization, self-organization will bring a profound, lasting and irreversible impact on the traditional enterprise form, breaking the boundary and organizational form that have remained unchanged for nearly 300 years. The transformation of production relations will trigger a new industrial revolution in the industrial field

the supporting logic behind self-organization is "socialization" and "circle". The core is that the relationship between people is digitalized rather than simulated due to the social network of mobile Internet. Just like the disappeared yellow pages, human relationships are being connected with various accounts. The interaction between people has actually become the interaction between digital IDs and digital IDs. This is the digital characteristic of interpersonal relationship. This means that people's access to the world has changed from a perspective based on entities and materials to a perspective based on digital information and knowledge

In the era of intelligent manufacturing, a new role is emerging. It is particularly important for China

in the process of exchanging knowledge, people produce a large number of fragmented knowledge and fragmented exchange of ideas, which often trigger some insights and innovative knowledge that cannot be generated in a closed environment. For made in China, this is an important knowledge source to promote the development of intelligent manufacturing. The potential of this new source is still on the eve of explosion

many future working modes can be foreseen today: for example, people can work freely, which has completely changed the management mode of factories and even the management mode of urban communities; The ownership and use right of machines, instruments and other equipment can be completely separated and opened to the outside world in the form of processing capacity or measurement capacity. When people can buy machines, they can use them openly; People can join online/offline circles according to their interests and hobbies and work in the form of self-organization. In the United States, about 34% of workers are now freelancers, with a total of 53million people. They no longer belong to any enterprise, but to a number of professional "circles" in which they are interested

intelligent manufacturing promotes profound changes in the manufacturing industry

intelligent manufacturing needs to solve two problems: one is to fully meet the growing personalized needs of customers; Second, the complexity of the product itself, such as internal management and external supply chain coordination, and the production process and use process are full of high uncertainty

digitalization, networking, knowledge and self-organization, as an important core of intelligent manufacturing, will promote profound changes in the manufacturing industry

digitalization improves the functional flexibility of products or machines developed in addition to a series of industry-leading hydrofluoroethylene products with low global warming potential

complexion disintegrates the limitations of time and space, and the resulting information symmetry eliminates most intermediate links

intellectualization enables the industrial technology system to extend from people to machines, so that equipment and human knowledge can be perfectly unified in the digital world

while self-organization breaks the original rigid enterprise boundary, significantly flattens the high wall barrier of knowledge, reduces the difficulty of knowledge transfer, and thus provides a new management support for flexible organizations and group wisdom

and all this ultimately points to intelligence, with as much data flow and as little cost and material consumption as possible to meet the needs of personalized customization, so as to lay the brilliant fruit of intelligent manufacturing

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