Smart Manufacturing Cognitive Technology Creates Smart Factory

【Hot attention of Chemical Machinery Equipment Network ] Smart factory is a new stage of modern factory informatization development.
It is based on the digital factory, using the technology of the Internet of Things and equipment monitoring technology to strengthen information management and services; clearly grasp the production and marketing process, improve the controllability of the production process, reduce manual intervention on the production line, and collect production line data in real time.
And reasonable production planning and production schedule.
In addition, green and intelligent means and emerging technologies such as intelligent systems are integrated to build a high-efficiency, energy-saving, environmentally friendly, and environmentally comfortable humanized factory.
It is the result of the practical application of the IBM "Smart Earth" concept in the manufacturing industry.

 

Anqing: 5G smart factory realizes unmanned management Anqing Economic Development Zone Anqing Huanxin Group's Dibo Powder Metallurgy Co.
, Ltd.
5G "smart factory" has developed to unmanned management.
In the huge workshop, except for engineers looking at data in front of CNC machine tools, almost everything No workers.

 

In recent years, it has accelerated the construction of digital government, improved the efficiency of administrative services for private and profitable enterprises, used new infrastructure projects as the starting point, promoted the transformation and upgrading of traditional enterprises to digitalization, and introduced a cluster of digital industry projects, which has achieved remarkable results.

 

Wireless sensor
 

Wireless sensors will be an important tool for realizing smart factories in the future.

 

Smart sensing is a basic element, but if the manufacturing process is to be capable of intelligent judgment, the basic elements of control systems such as instruments, meters, and sensors are still the focus of attention.
The intelligence of instruments and meters is mainly based on the development and application of microprocessors and artificial intelligence technologies, including the use of intelligent technologies such as neural networks, genetic algorithms, evolutionary calculations, and chaos control to enable instruments and meters to achieve high-speed and high-efficiency , Multi-function, high mobility and flexibility.

 

For example, the expert control system (ECS) is a programming system with a lot of expertise and experience.
It uses artificial intelligence technology and computer technology to perform reasoning and judgment based on the knowledge and experience provided by one or more experts in a certain field, simulate the decision-making process of human experts, and solve complex problems that require human experts to solve well.

 

In addition, the FC-Fuzzy Controller, also known as the FLC-Fuzzy Logic Controller, is also the focus of the smart factory related technologies.
Because modular control technology has the ability to deal with uncertainty, inaccuracy and modular information, it can effectively control the controlled process that cannot be built with a mathematical model, and can solve some problems that cannot be solved by conventional control methods.
Control has been widely used in the field of industrial control.

 

Control system networked
 

　　As more and more embedded devices are connected to the factory manufacturing process, deploying control systems through cloud architecture is undoubtedly one of the most important trends today.

 

　　In the field of industrial automation, with the shift of applications and services to cloud computing, the main modes of data and computing locations have been changed, which has also brought disruptive changes to the field of embedded devices.
For example, as embedded products and typical IT components in many industrial automation fields, such as manufacturing execution systems (MES) and production planning systems (PPS) become smarter, and the degree of connectivity is increasing, the cloud Computing will provide more complete systems and services, and production equipment will no longer be a single and independent individual in the past.
However, connecting isolated embedded devices to the factory manufacturing process, or even the cloud, is actually highly disruptive and will definitely have a significant impact on the factory manufacturing process.
Once the connection is completed, all manufacturing rules may change.

 

　　Including architecture, control methods, and man-machine collaboration methods, changes will occur due to the networking of the control system, such as the coupling of control and communication, time delay, information scheduling methods, decentralized control methods, and fault diagnosis.
The control methods and algorithms of automatic control theory in the network environment require continuous innovation.

 

　　In addition, due to the large amount of data and high-speed transmission of images and voice signals, the network bandwidth is required, which poses a severe challenge to the networking of the control system.
Because the industrial production process does not tolerate a little error, the packet information transmitted by the network cannot be missed a little, and the information transmitted on the network is very diverse, which data should be transmitted first (such as equipment failure messages), and which data can be transmitted later ( Such as e-mail), it depends on the intelligent ability of the control system and appropriate judgments to achieve this.

 

　　to sum up
 

　　As the * theme of Industry 4.
0, smart factories can be described as running through the entire process of industrial upgrading.
The Chinese government has also issued many supporting policies to promote the rapid implementation and popularization of smart factories.
Smart manufacturing has become a typical feature of large factories.

 

　　Source: Phoenix Net, Encyclopedia
 

　　Original Title: Smart Manufacturing Cognitive Technology Creates Smart Factory