In the past few years, the Industrial Internet of Things (IoT), as a keyword, has been written into the government work reports of the two sessions several times. Whether in traditional industries, or emerging fields, there is a surge of industrial IoT construction and application boom. In fact, as early as 2015, the government has proposed to promote the integration of the Internet and manufacturing, and enhance the digitalization, networking, intelligent level of manufacturing. The development of industrial Internet of things is of great importance for China to build a strong manufacturing country and promote high-quality economic development.
Industrial Internet of things is a high-tech combination
As we all know, the main technical areas of industrial IoT cover sensor technology, network interconnection technology, information processing technology, security technology, edge and cloud computing, and many other directions. Some of the most rapidly developing technology areas include.
Edge computing artificial intelligence: The key to success in industrial IoT lies in empowering mechanical devices with IoT connectivity. By adopting connected devices in production environments, companies can incorporate these digitally intelligent devices into corporate production and keep systems up and running throughout the equipment”s lifecycle. The Internet of Everything means that massive amounts of data need to be analyzed and processed in real time, so edge computing combined with artificial intelligence is an important trend. In the field of machine learning, Avnet has developed AI smart box and smart camera development platform, which is to help local enterprises accelerate the development and implementation of their industrial AI projects and promote the deployment and application of industrial IoT within the enterprises.
Cybersecurity: In the Internet of Everything environment, it is hard to imagine what kind of disaster would be brought about if smart devices at the edge were to be controlled by hackers. Indeed, cybersecurity threats do discourage manufacturers from investing in digital technology, and for a long time to come, manufacturers will have to allocate more budget to ensure that any digital innovation is certified for security. Today, Ceres offers an industrial IoT system solution stack that meets all the requirements of IEC 62443-4-2 security certification standards, eliminating the need for enterprises to worry about cybersecurity.
Human-machine collaboration: Based on the above two trends, there will be more and more human-machine collaboration scenarios. As devices become smarter, safer and more reliable, collaborative robots based on the Industrial Internet of Things will become more popular. Currently, automakers are the largest consumers of industrial robots, but with the iteration of industrial connectivity, machine vision and control technology, collaborative robots will make breakthroughs in manufacturing, logistics and even service industries, and the concept of “robot as a service” will gradually gain popularity.
Intelligent application is the core
To improve the intelligence level of manufacturing industry, we must adopt AI technology and realize intelligent application in the production environment. Avnet”s main research directions in the field of industrial AI include industrial vision defect detection, item classification, and equipment predictable maintenance. Among the many defect detection projects, Avnet”s research and development direction covers major applications such as fabric inspection, agricultural products and fruit and vegetable inspection, glass inspection, and appearance inspection of electronic products, which greatly improves the efficiency and accuracy of defect detection and promotes the transformation and upgrading of enterprises to intelligent manufacturing.
Meanwhile, AI technology will be widely used in machine vision, motion control, and predictive maintenance for edge devices. For example, the new human-machine collaboration robot is the product of combining AI technology with traditional industrial robots. The application of the robot arm is no longer just repetitive work, but can also have the ability to adjust flexibly. The combination of robot arms and mobile robots can significantly expand the scope of work of industrial robots. Its object recognition, precise grasping and real-time path planning, obstacle avoidance and other functions are all flexible applications of AI technology. The wide application of human-machine collaborative robots will greatly accelerate the upgrading of traditional manufacturing industries and significantly improve production efficiency.
Avnet and Ceres have been long-term partners in the industrial IoT field, and both companies work together to provide system solution-level quality services to customers. Based on the traditional strengths of Ceres SoC devices and toolchain, and the recent high demand for edge computing AI, the two companies work together to provide complete hardware platforms and software reference designs, and even product-level development platforms to help customers accelerate development progress and shorten time-to-market. The two sides work together on projects including intelligent camera development platforms for smart security and machine vision applications, autonomous mobile robots for smart warehousing, precision marketing devices for smart retail, and multi-joint robotic arms and vision controllers for smart manufacturing, and many other intelligent products to jointly accelerate the intelligent transformation process of the local manufacturing industry and further promote the application of industrial IoT on the ground The company will further promote the application of Industrial Internet of Things.