The HG-IIoT platform is an industrial internet platform based on Internet of Things technology, aimed at achieving intelligent management of industrial equipment and optimizing production. Its architecture includes the front-end perception layer, the edge computing layer, the cloud platform layer and the application layer. Its key technologies include sensor technology, wireless communication technology, edge computing technology, cloud computing technology, big data analysis and artificial intelligence. Its application scope covers manufacturing, energy, transportation, agriculture and other fields.
The architecture of the HG-IIoT platform mainly consists of four levels. The front-end perception layer is responsible for collecting data from devices, converting real-time data into digital signals through sensors, actuators and other devices, and transmitting them to the edge computing layer. The edge computing layer is responsible for the preliminary processing and analysis of the collected data, which can realize near-field calculation, local decision-making and real-time control. The cloud platform layer is the central storage and processing area of data, responsible for receiving and processing data from the edge computing layer, and providing data storage, analysis and management services. The application layer is a data service based on the cloud platform layer, which enables remote monitoring, diagnosis, analysis, and control of devices through human-computer interaction interfaces and application software.
The key technologies of HG-IIoT platform mainly include sensor technology, wireless communication technology, edge computing technology, cloud computing technology, big data analysis and artificial intelligence. Sensor technology is the foundation of the HG-IIoT platform, which converts changes in physical quantities into electrical signals, such as temperature sensors, pressure sensors, etc. Wireless communication technology is responsible for transmitting the collected data to the edge computing layer and cloud platform layer, such as WiFi, Bluetooth, LoRa, etc. Edge computing technology allows data processing and decision-making near devices, reducing data transmission delays and network load. Cloud computing technology provides * * data storage and processing capabilities, supporting the analysis and management of massive amounts of data. Big data analysis technology can extract valuable information and patterns from massive data, providing a basis for decision-making. Artificial intelligence technology can achieve autonomous learning and intelligent decision-making of devices through machine learning and deep learning.
The HG-IIoT platform has a wide range of applications, covering multiple fields such as manufacturing, energy, transportation, and agriculture. In the manufacturing industry, the HG-IIoT platform can achieve remote monitoring and fault diagnosis of equipment, improving production efficiency and quality. In the field of energy, it can achieve intelligent management and optimized scheduling of energy equipment, and improve energy utilization efficiency. In the field of transportation, it can achieve remote monitoring and fault warning of vehicles, improving traffic safety and transportation efficiency. In the field of agriculture, it can achieve intelligent irrigation and fertilization of farmland, improving crop yield and quality.
In a word, HG-IIoT platform realizes intelligent management and optimized production of industrial equipment through Internet of Things technology. Its architecture includes front-end perception layer, edge computing layer, cloud platform layer and application layer. Key technologies include sensor technology, wireless communication technology, edge computing technology, cloud computing technology, big data analysis and artificial intelligence. Its application scope covers manufacturing, energy, transportation, agriculture and other fields.