The Industrial Internet of Things refers to the continuous integration of various types of acquisition and control sensors or controllers with perception and monitoring capabilities, as well as mobile communications, intelligent analysis and other technologies into all aspects of the industrial production process, thereby greatly improving manufacturing efficiency, improving product quality, reducing product costs and resource consumption, and ultimately achieving a new stage of upgrading traditional industries to intelligence.
characteristics
Comprehensive perception
Use radio frequency identification technology, sensors, QR codes and other technologies to obtain information data at any time from the production process to sales to end users.
Interconnection and transmission
It is necessary to connect the dedicated network and the Internet to accurately transmit device information in real time. It has a strong dependence on the network and pays more attention to data interaction than traditional industrial automation information systems.
Intelligent processing
Use cloud computing, cloud storage, fuzzy recognition and neural network and other intelligent computing technologies to analyze and process data and information, combine big data, and dig deep into the value of data.
Self-organization and self-maintenance
Each node of the industrial Internet must provide the entire system with the information and decision-making data obtained through its own processing. Once a node fails or the data is abnormal or changed, the entire system will automatically make corresponding adjustments based on the logical relationship. The entire system must be interconnected in all directions.
Manufacturers improve production efficiency and product quality
Intelligent upgrades are carried out on production equipment such as heat exchangers, and sensors and controllers are installed to achieve real-time monitoring and remote control of equipment. This can timely detect equipment failures, perform predictive maintenance, reduce downtime, and improve equipment utilization.
Production process optimization
Use the industrial Internet of Things to collect data in the production process, such as temperature, pressure, flow, etc., and optimize production process parameters through data analysis and mining to improve production efficiency and product quality.
Supply chain management
Through the industrial Internet of Things, the supply chain can be visualized and intelligently managed, and information such as raw material supply, production progress, inventory status, etc. can be grasped in real time, the supply chain process can be optimized, inventory costs can be reduced, and the response speed of the supply chain can be improved.
Quality traceability
Use the Industrial Internet of Things to trace the quality of products throughout their entire life cycle, from raw material procurement to production and processing, inspection and testing, sales, etc., to achieve traceability of product quality and improve the stability and reliability of product quality.
Remote service:
Through the Industrial Internet of Things, remote services are realized to provide customers with remote monitoring, fault diagnosis, maintenance guidance and other services of equipment, improve customer satisfaction and enhance the competitiveness of enterprises.