At present, universal Internet of things devices are changing industrial management and operation, and the Internet of things devices for specific industries are becoming more powerful.
At the same time, through the combination of automation technology, artificial intelligence and cloud computing, the Internet of things has truly realized the transformation from traditional industry to intelligent manufacturing.
In this process, digital twinning, human-computer interaction, predictive maintenance, network security, elastic change, automation and edge computing are becoming the seven key trends of intelligent manufacturing.
These trends will also greatly change the relationship between machines and machines, people, prediction and operation, management and operation in the manufacturing industry, and promote the arrival of the 4.0 era of industry.
1- Digital twinning "take-over"
digital twin (Digital Twin) is to make full use of physical model, sensor update, running history and other data, integrate multi-disciplinary, multi-physical quantity, multi-scale, multi-probability simulation process, complete the mapping in virtual space. Therefore, the whole life cycle process of the corresponding entity equipment is reflected.
Digital twinning provides virtual objects corresponding to the physical components used in the industrial sector. For example, robotic arms that make cars can be monitored using digital twinning, which collects data on robotic arm operations and provides information about components that need to be maintained or replaced on a regular basis.
Digital twinning makes predictive maintenance easier and provides valuable visualization capabilities to improve efficiency. Although there are many ways to collect and manage Internet of things information, digital twinning provides a more intuitive and powerful method.
2- Innovative man-machine interface
Computer screens, and even more primitive displays, still dominate the industry, but that is changing. When viewing device components, augmented reality applications can provide more valuable feedback and provide employees with information derived from the Internet of things related to manufacturing equipment, enabling the company to better manage and maintain;
Virtual reality can also use more traditional technologies to provide strong visualization for staff. VR and AR are often tailored to specific tasks, and these technologies will be more popular, especially in industrial environments, as headgear and smart glasses become more widely available and at reduced prices.
3- Better predictability maintenance
Predictive maintenance has been playing an increasingly important role in the industrial environment for many years, and the continued growth of Internet of things components has provided more information than ever before. Combined with machine learning and other artificial intelligence tools, modern industrial software is more effective than personal experience in determining when equipment components need to be replaced. Unlike other technologies, the benefits of predictive maintenance are easy to calculate. As an industrial Internet of things technology, predictive maintenance will certainly become the future of industrial managers excellent assistant.
4- Investment in Network Security is becoming increasingly important
In the early stages, the Internet of things is often chaotic in the execution of tasks. At the same time, security devices are not considered a top priority for many companies. That is changing, and companies that are or have invested in the Internet of things are increasingly taking steps to ensure that new investments are protected from cyber attacks. Part of the reason for this change is that cyber attacks are becoming increasingly rampant and profitable, and less secure industrial equipment is particularly attractive.
One of the challenges for manufacturing companies is to ensure that they use the right security regulations and that all operations are compliant, because no one-step solution can protect the device from an attacker's "intrusion" by 100%.
5- More flexible change
Because of the high cost of industrial equipment downtime, enterprises usually avoid hardware and software upgrades and modifications as much as possible. Therefore, the transformation of industrial enterprises is sometimes very slow.
However, overall efficiency enhancement will force enterprises to operate in a more flexible manner. The Internet of things and artificial intelligence analysis can sometimes lead to surprising results because artificial intelligence is important for discovering related areas that humans may never explore. The long-term transformation of the physical industry will find a way to adapt more quickly to information technology, and the move will continue to grow in the coming years.
6- More efficient automation technology
Automation has always been the core of industry, and digital technology is expanding this trend. Companies can now rely on low-cost equipment to supplement a wider range of manufacturing components rather than investing in expensive heavy equipment.
As automation continues to prove its value, companies will invest more and see significant efficiency gains and lower labour costs. However, hiring will remain strong, as even highly automated systems require people to monitor progress and find ways to maximize efficiency.
7- More timely edge computing
One of the bottlenecks in Internet of things applications is to ensure that systems can monitor the necessary information in real time.
As a result, a powerful component of the Internet of things operations will rely on edge computing devices that can collect, process, and analyze data before it is sent to a more centralized server.
While investment in server or off-site cloud solutions will continue to increase, edge devices will receive significant investments in the future and ease some of the processing pressures common in today's industrial environment.