The rise of intelligent manufacturing 5G enabling a new era of manufacturing, industrial 4.0, digital enterprise, factories of the future, is bringing revolutionary change for the industry. Different from the first industrial revolution, the age of steam, the industrial revolution combines the computing power of machines and technology, ability to use modern information and communication technology operations, in order to build a better, more productive work environment.
According to “Huffington Post” reported that the early implementation of intelligent manufacturing companies have a good plan of harvest results, 82% said their use of significantly improved operating efficiency, commercial and 5G will be a strong impetus to this the development of the revolution. In addition, according to Jabil “5G technology trends survey” results showed that 72% of the experts predict will be the first 5G solutions for commercial applications, and the Internet of Things industry will be one of the strong drivers push short-term 5G applications. 5G wireless technology has a low-latency, high-bandwidth, faster speed and large capacity, etc. CONTROL ENGINEERING China Copyright , is driving manufacturing in artificial intelligence, augmented reality, predictive maintenance and collaborative robots digital transformation in many fields. When the artificial intelligence allows manufacturers to shorten the potential benefits in the production cycle is difficult to meet the market demand for increasingly complex products, while ensuring high-quality production standards. Although the product has been “on the fly” to ship , but customers still expect higher quality, versatile product, therefore, companies must reduce the rate of defective products, as far as possible to avoid product recalls condition occurs. AI just can solve these problems. According to a study released by market research firm MarketsandMarkets pointed out that the market value in 2017 was $ 16 billion artificial intelligence, expects 2025 will exceed $ 190 billion CONTROL ENGINEERING China Copyright , the annual compound growth rate of 36.6%. With the popularity of amplification and scope of application of this technology, artificial intelligence experts predict will bring major changes in the industry. In addition to predictive maintenance, AI can also be used to improve the quality of the control plants. We do not use artificial intelligence vision inspection systems must be trained about one million sets of image data, to ensure that all potential problems can be identified; And artificial intelligence will not only strengthen the existing infrastructure and manpower management Control Engineering Copyright , but also help the operator to quickly identify defects, reduce production chain of errors and product failures. Jabil already using the wrong AI pre-capture circuit board manufacturing process may occur and the failure detection accuracy of up to 80%, saving 17% and 10% of rework costs of energy. The earlier failure problems found, can improve the efficiency of business operations, the production cycle can be further shortened, so as to enhance customer satisfaction. However, to achieve the premise of this practice, you must use the 5G get a lot of real-time, high-quality data, to achieve maximum efficiency. The use of augmented reality technology to solve the problem of failure augmented reality technology can help technicians quickly find faults. With augmented reality solutions with a tablet or a holographic lens, troubleshooting personnel can be faster and more effectively identify faults, real-time sharing of data and the production site, troubleshooting problems in a shorter period of time. Predictive and preventive maintenance of the overall production capacity of the plant will make improper maintenance strategy to reduce 5-20%. Studies have shown that unexpected downtime caused by industrial manufacturers about $ 50 billion in losses each year, 42% of unplanned downtime is caused by damage to assets, this situation also allows manufacturers into a dilemma. Typically, manufacturers have in the case of damage to property of two options, one is to let the machine offline in order to ensure the full amount of the production run until it stops, and the other is to allow the machine to continue running, but may in turn lead to mechanical failures caused by longer downtime. Therefore, manufacturers can optimize the best planned downtime, prevent unplanned downtime occurs, thereby enhancing machine efficiency and employee productivity, and ultimately improve profitability. Traditional preventive maintenance requires a lot of manpower to operate, but this approach is not only inefficient and time-consuming, manufacturers often can not afford the maintenance manpower losses. PwC data shows that almost all manufacturers are looking to predictive maintenance and other digital technology to improve efficiency, the next five years, manufacturers using machine learning analysis and predictive maintenance techniques to improve the ratio will increase by 38%; if match 5G wireless technology, manufacturers will be able to use more simple, efficient process for predictive and preventive maintenance. Strengthening the supply chain management product delivery routes visibility is critical to supply chain management. However, modern tracking methods, such as two-dimensional code scanning and radioFrequency identification, usually only the recording position and the time when the product reaches. If the product is damaged, to accurately identify the point in time during transportation accidents is extremely difficult. Intelligent packaging has now made significant progress , the next generation of wireless technology can further enhance the level of package tracking technology. 5G by mounting the sensor on the package, the package can grasp the position, temperature, humidity, gravity, humidity levels and other information on all aspects of the supply chain, to obtain real-time feedback and product status condition at checkpoints without artificially condition. Improve the safety and efficiency through a human robot collaboration can be efficient and sophisticated mass production, has long been used in the manufacture of automatic assembly, automotive and other products. The robot can also be used to transport goods, or to clean up the debris on the factory floor at the practical level. Perform trivial and repetitive tasks by the automatic robot to be able to make artificial spend more time for more valuable work. Although automatic robots have invested in factories and retail locations around the world use, but to make robots capable of intelligently real-time interaction with the environment, it must pass a lot of information in an instant. This is a great challenge for manufacturers, they are forced to have to build complex machine control system, which not only slows down the development cycle, but also hindered the development of new areas. 5G supported by the cloud robot will be able to solve these problems, because through 5G technology will be a lot of system information is stored in the cloud, simplify the operation of the robot on the factory floor, and improve their ease of use and efficiency. The key is to have high productivity of the robot is to have a strong and stable 5G connection, as long as the data transmission path closer to the connection source, than the 5G wireless connection will be able to have faster transfer speeds, and significantly improved data throughput. In addition, 5G more flexibility, which allows manufacturers to lower costs while maintaining adjust and adapt to changing manufacturing environment. 5G will change the world in a variety of ways, including faster video transmission, autonomous vehicles and real-time remote surgery. 5G has an unprecedented transfer speed and coverage, the world will have more closely connected than ever before, while also led a number of industries, including manufacturing of a significant change.