5G blessing, how will AIoT revolutionize the industrial Internet

5G blessing, how will AIoT revolutionize the industrial Internet

In the era of the Industrial Internet, if any industrial manufacturing industry wants to not be "eliminated out", it needs to achieve transformation and upgrading and the improvement of factory automation and intelligence level. With the continuous innovation of technology, the transformation and upgrading of enterprises accelerate, and the Industrial Internet is considered to be The key support for enterprise transformation.

In recent years, artificial intelligence (AI) and the Internet of Things (IoT) are considered to be the leading technologies that promote the development of today’s industry. The integration of the two has produced a new concept: AIoT (Intelligent Internet). With the development of 5G technology, AIoT is High hopes are placed in industrial automation.

 AI is the brain, IoT is the connection

"AIoT" means "AI+IoT", which refers to the integration of artificial intelligence technology and the Internet of Things in practical applications. There is a saying in the industry that AI is the brain and IoT is the connection. The fusion of the two can provide an intelligent connection system capable of self-correction and repair.

Whether it is technology or industry, IoT has a long history. It solves the problems of underlying connection and data transmission. At the same time, the types of connected devices and data it brings are far greater than the traditional Internet. In the industrial field, due to the diversity of equipment and the complexity of the process flow, the connection system is also more complicated. In order to better understand AIoT, we need to understand the connection system. development of.

The emergence of cloud computing provides three key functions of connection, storage and calculation for the Internet of Things connection system. With the help of cloud computing infrastructure, multiple devices can be seamlessly connected. In addition to sending machine-to-machine (M2M) messages, these devices can also centrally store the acquired telemetry data in the cloud. Through calculation and analysis service processing to gain insights.

AI can find predictive insights into the future based on a large amount of historical data and real-time observations. Because it analyzes both past and real-time data, it is easier for AI to notice which data are exceptions and make reasonable and appropriate inferences.

The importance of data to AI is self-evident. AI needs continuous data inflow. The more data it can process and learn from, the higher its prediction accuracy will be.

AI is the brain of IoT, which allows the simple connection of devices to be upgraded to intelligent connection, and the interconnection of all things evolves to the intelligent connection of all things. IoT is the body that enables AI to have the ability to act. Just as human eyes, ears, nose and skin perceive the world around us, billions of sensors and cameras in IoT collect data from the surrounding environment and send these data to AI for analysis and processing. This data is also an important nourishment for AI's deep learning, helping AI to become smarter and smarter and to make more wise decisions.

At present, the application of AIoT in industry is mainly in the field of industrial robots.

In the industrial era when automation is popular, the production process is almost completely automated and robots have a high degree of adaptability. The Industrial Internet is not only the realization of machine interconnection, but also intelligence. While AIoT helps robots achieve intelligent interconnection, it also allows managers to freely manipulate them, especially in many industrially hazardous areas.

In the future, industrial production will be further intelligent, and industrial robots will be more widely used. With the support of AIoT, robots and industrial equipment have completed complete interconnection, and can perform real-time and continuous processing of relevant data, thereby further improving efficiency and reducing costs.

 5G is a bridge connecting AI and IoT

With the issuance of 5G commercial licenses, many people in the industry said that AIoT will usher in an explosive period, and 5G will remove technical obstacles to the development of AIoT.

With the blessing of 5G technology, AIoT will become a highly anticipated black technology in the world in the next 20 years.

So what is the relationship between 5G and AI and IoT?

5G is to connect AI and IoT to become a reliable channel with high bandwidth, large connections, and low latency. Through 5G, IoT will be promoted to the level of artificial intelligence, reflecting the value of IoT. At the same time, 5G will help AI and IoT combine to produce a landing effect.

WiFi wireless network applications are the most in the factory, but due to the bandwidth, scalability, and anti-interference ability of wireless technology, it is difficult to meet the actual application requirements of the factory environment. And 5G can just meet the requirements of the factory environment in terms of reliability and anti-interference ability, so it can be used in corporate external networks and corporate intranets.

Currently, 5G on public networks, which is widely used, is a mode that utilizes TDD. At a certain frequency, it is divided into uplink and downlink according to the time sequence. In the industrial Internet, the bandwidth that needs to be uploaded is high, and the bandwidth of the return command is low. TDD There are more downlink time slots than uplink time slots.

Among them, robots will be widely used in the future, and "5G+8k+mobile edge computing" can make robots more sensitive. COMAC uses an 8K HD camera to scan the riveting quality of aircraft skins and quickly connects to the company’s cloud platform through 5G broadband, which significantly improves efficiency and inspection quality. COMAC also uses 5G’s low latency to synchronize two cameras, which will be obtained from both sides. The video synthesizes the precise 3D video of the aircraft.

Machine vision will also be widely used. Data shows that more than 3.5 million workers in China conduct visual inspections on production lines every day, of which more than 1.5 million are in the 3C industry. However, the accuracy of manual detection is not high. Machine vision requires large-scale AI comparison and analysis capabilities between edge computing and central cloud. 5G provides broadband and fast channels for cloud connections.