Anqing: 5G Smart Factory Achieves Unmanned Management. Anqing Huanxin Group Dibo Powder Metallurgy Co., Ltd. in Anqing Economic Development Zone has developed a 5G "smart factory" that has achieved unmanned management. Apart from engineers checking data in front of CNC machine tools, there are almost no workers in the huge workshop.
In recent years, we have accelerated the construction of digital government, improved the efficiency of administrative services for the convenience of the people and businesses, promoted the digital transformation and upgrading of traditional enterprises by taking new infrastructure projects as the starting point, and attracted digital industry projects to cluster, achieving remarkable results.
wireless sensors
Wireless sensors will be a key tool for realizing smart factories in the future.
While intelligent sensing is a fundamental component, the basic components of control systems, such as instruments, meters, and sensors, remain the focus if manufacturing processes are to possess intelligent judgment capabilities. The intelligentization of instruments primarily relies on the development and application of microprocessors and artificial intelligence technologies, including the use of neural networks, genetic algorithms, evolutionary computation, and chaotic control to enable instruments to achieve high speed, high efficiency, multifunctionality, and high maneuverability.
For example, an expert control system (ECS) is a type of programming system that possesses a wealth of specialized knowledge and experience. It utilizes artificial intelligence and computer technology to reason and make judgments based on the knowledge and experience provided by one or more experts in a particular field, simulating the decision-making process of human experts to solve complex problems that would otherwise require human expertise.
Furthermore, FC-Fuzzy Controllers, also known as FLC-Fuzzy Logic Controllers, are a key focus of smart factory technologies. Because modular control technology can handle uncertainty, inaccuracy, and modular information, it can effectively control processes for which mathematical models cannot be built, solving problems that conventional control methods cannot address. This has led to the widespread application of modular control in the industrial control field.
Control system networking
With the increasing number of embedded devices connected to factory manufacturing processes, deploying control systems through cloud architecture has undoubtedly become one of the most important trends today.
In the field of industrial automation, the shift of applications and services to cloud computing has fundamentally altered the primary modes of data and computation location, bringing disruptive changes to the embedded device sector. As embedded products and many typical IT components in industrial automation, such as Manufacturing Execution Systems (MES) and Production Planning Systems (PPS), become increasingly intelligent and connected, cloud computing will provide more complete systems and services, and production equipment will no longer be the isolated entities it once was. However, connecting isolated embedded devices to factory manufacturing processes, and even to the cloud, is highly disruptive and will inevitably have a significant impact on factory manufacturing processes. Once connected, all manufacturing rules may change.
The architecture, control methods, and human-machine collaboration methods will all change due to the networking of control systems. For example, the coupling of control and communication, time delay, information scheduling methods, distributed control methods, and fault diagnosis all require continuous innovation in the control methods and algorithms of automatic control theory in a network environment.
Furthermore, the high-volume, high-speed transmission of large amounts of data, such as video and voice signals, places stringent demands on network bandwidth, posing a severe challenge to the networking of control systems. Industrial production processes cannot tolerate even the slightest error; the packet information transmitted over the network cannot be lost in the slightest. Moreover, the information transmitted over the network is highly diverse. Determining which data should be transmitted first (such as equipment failure messages) and which can be transmitted later (such as emails) requires the intelligent capabilities of the control system to make appropriate judgments.
Summarize
As the core theme of Industry 4.0, smart factories permeate the entire process of industrial upgrading. The Chinese government has also introduced numerous supporting policies to promote the rapid implementation and widespread adoption of smart factories, and smart manufacturing has become a typical characteristic of large factories.
