The Industrial Internet of Things (IoT) is the core of Industry 4.0. It uses sensors, controllers, machines, personnel and objects through new ways such as local networks or the Internet to form people and things, objects and objects Alliance, to achieve information technology, remote management control and intelligent network, so as to maximize the efficiency of the machine and the entire work throughput. With the continuous promotion of intelligent manufacturing strategy and the gradual deepening of business transformation, the value of the Internet of Things is becoming increasingly prominent in the industrial transformation. Enterprises have clearly realized that, in order to achieve intelligent decision-making and automated production can not be separated from human-computer interaction. At present, the boom of industrial internet of things has spread all over China and has become the focus of attention of all parties such as governments, manufacturing enterprises, Internet companies, Internet of things companies, telecom operators, IT and automation vendors. According to the IDC report, in 2017 the global total Internet of Things spending will grow 16.7% compared to the same period, slightly higher than 800 billion US dollars. The report predicts that by 2021, global Internet spending will reach 1.4 trillion US dollars. These include the company's investment in IoT hardware, software, services and network connectivity. In terms of industries, manufacturing and transportation will continue to be the most heavily traded sectors, with 183 billion and 85 billion U.S. dollars respectively.
For most enterprises, although IoT technology has existed for decades, its scope of application is limited to operations and the potential of data is not fully released in the enterprise. With connectivity, big data management, business analytics and cloud technologies, we are now able to bring together operational and information technologies to create smarter machines that drive the digital transformation of end-to-end businesses.
Industrial IoT system architecture can be divided into four layers, the physical layer includes all kinds of smart products and embedded software and chips; sensor layer is the Internet of things of the skin and facial features, for identifying objects, collecting information, including bar codes, Dimensional code tags and readers, RFID tags and readers, cameras, GPS, etc .; the network layer is the nerve center of the Internet of things and the brain for information transmission and processing, including the integration of communication and the Internet network management center and Information processing center; application layer is the "social division of labor" of the Internet of things, that is, with industry expertise and the realization of the depth of integration, the ultimate realization of the industry intelligence. Among the various layers of the Internet of Things, information is not one-way transmission, but also interactive, control, and so on. The key is the information of the items, including the identification of items that can uniquely identify the items within a specific application system Static and dynamic information on codes and items.
The key technologies for Industrial Internet of Things include:
Sensor Technology: The ubiquitous information poses higher requirements for industrial sensors and sensing devices.
Miniaturization: miniaturization of components, saving resources and energy.
Intelligence: Artificial intelligence technologies such as self-calibration, self-diagnostics, self-learning, self-decision making, self-adaptation and self-organization.
Low-power and energy-harvesting technology: battery-powered, with sunlight, wind, temperature, vibration.
Communication technologies include: modulation and coding, adaptive frequency hopping, channel scheduling, diversity of communication protocols, multi-standard wireline and wireless technologies.
Network technology: network routing technology, Internet technology, coexistence technology, cross-layer design and optimization techniques.
Network management and basic service technologies: time synchronization with low overhead and high precision, fast node location technology, real-time network performance monitoring and early warning technology, and distributed management of industrial data.
Information Processing Technology:
Massive Information Processing: Explosive growth of industrial information, building a set of mass perception of information, access, efficient integration, feature extraction and content comprehension as a whole.
Real-time information processing: industrial process monitoring and control needs.
New Manufacturing Model: Multi-Source Heterogeneous Perception Information Fusion.
Ubiquitous information processing services and collaborative platform: people, people, machines and machines in the process of design, manufacture and management. They are behavioral, environmental and state perception.
Security technologies include: control of industrial devices, network security and data security, prevention of identification, tracking and access by unauthorized entities, decentralized authentication and trust models, energy-efficient encryption and data protection, privacy protection between heterogeneous devices technology.