I. 5G technology scenario supports intelligent manufacturing
As a new generation of mobile communication technology, 5G technology meets the application requirements of wireless network for intelligent manufacturing transformation of traditional manufacturing enterprises, and can meet the application requirements of equipment interconnection and remote interaction in industrial environment.5G technology plays a supporting role in industrial applications such as the Internet of things, industrial automation control, logistics tracking, industrial AR, and cloud-based robots.
1. Internet of things: with the promotion of intelligent transformation of factories, the Internet of things, as a key supporting technology connecting people, machines and equipment, is receiving high attention from enterprises.This demand not only promotes the implementation of Internet of things, but also greatly stimulates the development of 5G technology.
2. Industrial automation control: this is the most basic application in manufacturing plants. The core is the closed-loop control system.5G can provide extremely low-latency, high-reliability and mass connectivity networks, making it possible for closed-loop control applications to be connected via wireless networks.
3. Logistics tracking: wide coverage, deep coverage, low power consumption, large connection and low cost connection technologies are required from warehouse management to logistics distribution.In addition, end-to-end integration of virtual factories spans the entire life cycle of products. Low-power, low-cost and wide-coverage networks are also required to connect widely distributed sold goods. Ubiquitous networks are also required for horizontal integration within or between enterprises.
4. Industrial AR: people play a more important role in the production process of intelligent factories.Due to the high flexibility and versatility of the future plant, there will be higher requirements for the factory floor staff.In order to quickly meet the requirements of new tasks and production activities, augmented reality (AR) will play a key role and can be used in scenarios such as monitoring processes and production processes in intelligent manufacturing.Step-by-step instructions for production tasks, such as manual assembly process guidance;Remote expert business support, such as remote maintenance.In these applications, auxiliary AR facilities need to be as flexible and portable as possible so that maintenance can be carried out efficiently.5 g
5. Cloud robot: in the intelligent manufacturing production scenario, the robot needs the ability of self-organization and coordination to meet the flexible production, which brings the robot's demand for cloud.5G network is an ideal communication network for cloud robots and the key to enable cloud robots.
Conclusion: 5G technology has become the key enabling technology to support the transformation of intelligent manufacturing. It can connect people, machines and equipment that are widely distributed and scattered to build a unified Internet.The development of 5G technology can help manufacturing enterprises get rid of the chaotic application state of wireless network technology in the past, which is of positive significance for promoting the implementation of industrial Internet and deepening the transformation of intelligent manufacturing.
The core of intelligent manufacturing is intelligent factory 5G technology intelligent manufacturing
As the information revolution intensifies, manufacturing elements such as machines, equipment, people and products are no longer independent individuals. They are closely linked through the industrial Internet of things to achieve a more coordinated and efficient manufacturing system.
The current transformation of manufacturing industry can be seen as the integration and improvement of automation upgrading and information technology, which is not only automation and machine replacement, but also factories can realize autonomous decision-making, produce diversified products flexibly and respond to more market changes quickly.
The combination of artificial intelligence and manufacturing system is inevitable. The use of machine learning, pattern recognition, cognitive analysis and other algorithm models can improve the ability of factory control and management system, and realize the so-called intelligent manufacturing, so that enterprises can get a better advantage in today's competitive environment.
The intelligent manufacturing process mainly revolves around the intelligent factory, in which artificial intelligence plays an important role.The Internet of things connects all the machine devices, such as controllers, sensors and actuators, and then AI can analyze the data uploaded by sensors, which is the core of intelligent manufacturing.
As industrial applications and development of the Internet of things, the network and the real system will closely relates in together, will produce the scene of the processor is the Internet of things, sensors, and makes robots can communicate, can communicate with each other, and the machine and people will no longer be strict division of labor, the future manufacturing systems and the machine together.Shanghai dingxiang automation technology co., LTD., automatic production line, non-standard automation, robot application integration, automatic assembly line, intelligent automatic assembly, component precision assembly, medical equipment automatic assembly, military equipment automatic assembly, assembly production equipment
Digital twinning is an important role. The whole process of intelligent manufacturing has a digital twinning model, which includes anything in the real world, such as application or operation manual.
In addition, there is human-machine interaction in intelligent manufacturing systems, that is, the interaction between humans and robots.It also USES artificial intelligence to drive and optimize products and processes.Factories need to do predictive maintenance or predict the energy consumption of machines, and more and more of these functions can be implemented in intelligent factories.
Iii. Prospect of intelligent factory in 5G era
From 2016 to 2018, China's 5G basic r&d and test will be divided into three stages.The first stage is 5G related technology test, the second stage is 5G technical solution verification, and the third stage is 5G system verification.
China launched 5G technical test in January 2016. In order to ensure the smooth implementation of experimental work, the imt-2020 (5G) promotion group planned to build 5G outfield of 30 stations in huairou, Beijing.After the completion of phase ii trials of 5G, phase iii trials will start in late 2017 or early 2018.The first standard version of 5G is expected to be completed in June 2018, and the full version may be completed in September 2019, and it is expected to achieve large-scale commercial use in 2020.
In the third phase of the trial, in order to cooperate well and further enrich the scene, China plans to carry out more trials in six cities in the future, including the combination of 5G technology and the core planning of smart city to help the construction of smart city.To promote entrepreneurship and innovation with the help of 5G experiments, and to make full use of 5G technology in industrial Internet and intelligent manufacturing.
Intelligent factory is one of the important application scenarios of 5G technology.5G network will be used to seamlessly connect production equipment, and further through the links of design, procurement, storage and logistics, so as to make production more flat, customized and intelligent, so as to construct a future-oriented intelligent manufacturing network.Here, the editors summarize the industry's prospects for the 5G era of smart factories, and let's look forward to the arrival of a new era.
1. Boost flexible manufacturing to achieve personalized production
With the global population approaching 8 billion, the expanding consumption group of the middle class is expected to form a huge market, which will have an impact on the consumption layout.The system with customer demand and product "information" function becomes the new core of hardware product sales, and personalized customization becomes the trend.In order to meet the diversified and personalized demand for products in different markets around the world, production enterprises need to update the existing production mode, and the production mode based on flexible technology has become a trend.Ifai defines a flexible manufacturing system as an automated manufacturing system capable of producing any range of product families with minimal human intervention. The flexibility of the system is usually limited by the product families considered in the system design.The arrival of flexible production has given birth to the demand for new technology.
On the one hand, in enterprise factories, flexible production has high requirements for the flexible mobility and differentiated business processing ability of industrial robots.5G is taking advantage of its unique advantages to help mass adoption of flexible manufacturing.When 5G network enters the factory, while reducing the cost of cables between machines, it makes use of the continuous coverage of the high-reliability network, so that the robot has unlimited moving areas, reaches various locations as needed, and performs uninterrupted work and smooth switching of work content in various scenarios.
5G networks can also enable a variety of business requirements with differentiated characteristics.In large factories, different production scenarios have different requirements for network service quality.The key step of the process with high precision requirement is time delay. The key task needs to ensure the network reliability and high rate of real-time analysis and processing of large flow data.5G network with its end-to-end slicing technology, the same core network has different service quality, flexible adjustment according to needs.For example, the reporting of equipment status information is set as the highest business level.
On the other hand, 5G can build a comprehensive information ecosystem that connects people and machines inside and outside the factory, ultimately enabling anyone and anything to share information with each other at any time and anywhere.When consumers demand personalized goods and services, the relationship between enterprises and consumers changes. Consumers will participate in the production process of enterprises. Consumers can participate in product design and query product status information in real time through 5G network across regions.
2. Comprehensive upgrade of factory maintenance mode
Production scenarios of large enterprises often involve cross-plant, cross-regional equipment maintenance, remote problem positioning and other scenarios.The application of 5G technology in these aspects can improve the efficiency of operation and maintenance and reduce costs.5G brings not only the Internet of everything, but also the information interaction of everything, making the future maintenance of intelligent factories beyond the factory boundary.According to the complexity of factory maintenance work, it can be completed by industrial robots or cooperation between human and industrial robots according to the actual situation.In the future, every object in the factory is a terminal with unique IP, so that the raw materials in the production process have the property of "information".Raw materials are automatically produced and maintained according to "information".People also become terminals with their own IP, and industrial robots enter the whole production process to interact with raw materials, equipment and products with unique IP.While industrial robots are managing factories, people from thousands of miles away can also receive real-time information for the first time to follow up and interact with each other.
Imagine an intelligent factory with 5G coverage in the future. When an object fails, it is reported to an industrial robot with the highest priority of "zero" delay.In general, industrial robots can complete the repair work without human interference according to the experience database of self-learning.In the other case, the fault judged by the industrial robot must be repaired by human operation.
At this point, even though people are far away from the other side of the earth, they can remotely control the industrial robots in the factory to reach the fault site for repair through a simple VR and remote tactile sensing technology equipment. The industrial robots can simulate human actions in real time thousands of miles away, and it is just as if people are in person to carry out construction at this time.
5G technology allows humans and industrial robots to handle more complex scenarios with ease.For example, in the case of collaborative repair by multiple people, even different experts separated by several continents can use VR and remote tactile sensing devices to "gather" at the fault site for the first time.The large flow rate of 5G network can meet the requirements of mass data interaction of high-definition images in VR, and the extremely low time delay enables people on the other side of the earth to transmit their actions to factory robots without errors in the tactile sensing network. Multiple people control different robots in the factory to carry out the next repair action.Meanwhile, with the Internet of everything, people and industrial robots, products and raw materials are all directly connected to various relevant knowledge and experience databases. In fault diagnosis, people and industrial robots can refer to a large amount of experience and professional knowledge to improve the accuracy of problem positioning.
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