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[ Focus on Chemical Machinery Equipment Network ] With the advent of the industrial Internet era, smart manufacturing has become a typical feature of large factories.
Traditional manufacturing plants require workers to judge the operation of production equipment based on their experience, and only shut down for maintenance if the equipment is damaged.
Chemical machinery and equipment network hotspots pay attention to chemical machinery and equipmentTraditional manufacturing plants require workers to judge the operation of production equipment based on their experience, and only shut down for maintenance if the equipment is damaged.
A large number of industrial equipment running in today's smart factories can clarify the status of product materials and the location of faults through real-time sensing data.
All factors in the production process can be precisely controlled.
All factors in the production process can be precisely controlled.
Smart factory is a new stage in the development of modern factory informatization.
It is based on the digital factory, using the Internet of Things technology 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, green and environmentally friendly humanized factory with a comfortable environment.
It is the result of the practical application of the IBM "Smart Earth" concept in the manufacturing industry.
It is based on the digital factory, using the Internet of Things technology 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, green and environmentally friendly humanized factory with a comfortable environment.
It is the result of the practical application of the IBM "Smart Earth" concept in the manufacturing industry.
Quality inspection has always been a cumbersome and trivial process in a manufacturing plant, and it is also a pain point that hinders its intelligence.
In the past, this link was more inefficient due to the experience of workers.
The emergence of automated manipulators and visual recognition technology makes this quality inspection problem easy to resolve.
In the precision manufacturing industry, machine vision has been used to detect scratches and dents on the surface of processed parts.
In the past, this link was more inefficient due to the experience of workers.
The emergence of automated manipulators and visual recognition technology makes this quality inspection problem easy to resolve.
In the precision manufacturing industry, machine vision has been used to detect scratches and dents on the surface of processed parts.
With the support of high-speed and massive access 5G technology, sensor data on automated production lines can be collected locally and managed locally.
Engineers can use these real-time data in the background for quantitative big data analysis to predict and monitor the stability of equipment operation Sex.
sensor Engineers can use these real-time data in the background for quantitative big data analysis to predict and monitor the stability of equipment operation Sex.
Wireless sensor
Wireless sensor Wireless sensors will be an important tool for realizing smart factories in the future
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.
Instrumentation 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.
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.
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
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 today's important trends.
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.
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.
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.
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.
In the production chain built by the smart factory relying on emerging technologies such as the Internet of Things, big data, artificial intelligence, and 5G, various technologies can be interconnected and coordinated to exert greater value.
There is no room for "personal heroism".
There is no room for "personal heroism".
The trajectory data of all machine operations and manual operations on the production line can be uploaded in real time, and then the artificial intelligence algorithm is used for big data analysis to assist decision-making.
On the basis of enhancing production flexibility, it improves product quality and improves product delivery efficiency.
More than 20%.
On the basis of enhancing production flexibility, it improves product quality and improves product delivery efficiency.
More than 20%.
In the future, this may be the norm for new smart factories.
Original title: Smart manufacturing has become a typical feature of factories, and product quality needs to be accelerated
