Recently, smart manufacturing has been widely discussed by all walks of life. But there are still a few words, digitization, automation, and informationization. They always appear together with intelligence. What is the connection between them? In general, digitalization, automation, and informationization are the foundations of intelligence, but they also have their own characteristics.
Digitization generally refers to the use of computer information processing technology to convert sound, light, electricity and magnetic signals into digital signals, or to convert information such as voice, text and images into digital codes for transmission and processing. Compared with non-digital signals, digital signals have the characteristics of fast transmission speed, large capacity, no distortion when amplified, strong anti-interference ability, and good confidentiality.
The so-called automation refers to the automatic operation or operation of the machine or device according to the specified procedures or instructions without human intervention.
Informatization refers to the cultivation and development of new productive forces represented by computer-based intelligent tools, and makes them benefit the historical process of society. The productivity that is compatible with intelligent tools is called informationized productivity. Informatization productivity is different from the production tools in past productivity. It is not an isolated and scattered thing, but a large-scale, top-down, organized information network system.
Intelligentization should have two aspects: first, the use of artificial intelligence theory, methods and techniques to deal with information and problems; second, the characteristics or functions of anthropomorphic intelligence, such as adaptive, self-learning, self-correcting, self-organizing, self Diagnosis and self-repair.
Digitalization is the foundation of informationization and automation.
Digitization is the process of extracting abstract things into concrete quantitative data and turning them into numbers. Informationization is further refined on the basis of numbers, and extracting valuable things becomes information. In other words, numbers are the first. One step, the information is the second step.
Automation requires programming to automate or operate the machine. It is also inseparable from the transmission of digital signals, so digitization is also the basis of automation.
Informatization is a more advanced automation.
The automation of industrial enterprises is the basis of informationization. If industrial enterprises have not yet reached the level of automation, then informationization will not be discussed. The functions of acquiring, transforming, displaying, transmitting, and executing information in an automated system are important components of informationization.
Before computers were not universal, automation was only an advanced mechanization, and only the full use of computers was the hallmark of automation. From the perspective of development history, the mechanical era has been automated, and the information technology at that time was relatively backward. The automation of the information age is the automation of the development of information technology based on the automation of the mechanical era. The purpose of automation in the mechanical age is to save labor and reduce physical labor. The automation of the information age can not only reduce the physical labor of people, but also reduce part of the mental work of people. Therefore, informationization is a more advanced automation.
Whether it is digital, automation, or information technology, it is the foundation of intelligence. Without digital signals, automation technology, and information systems, intelligence is also unknown. Intelligentization is the development trend of automation technology today and in the future. Developed countries such as Germany have successively proposed their own re-industrialization policies, and China has also proposed "Made in China 2025." The policies of various countries have pointed to intelligent manufacturing.
In the process of intelligence, China is not too late to start, and progress is not slow, similar to developed countries. However, there is still a big gap between China and the developed countries in the automation and informatization stages. Therefore, while developing smart manufacturing in China, we should also strengthen the remedial classes. While doing a good job of intelligent transformation and upgrading, enterprises must also strengthen the construction of manufacturing infrastructure.