Energy Internet is a new form of energy industry development in which the Internet is deeply integrated with energy production, transmission, storage, and energy market. In the process of upgrading the traditional energy industry to the energy Internet, the advantages of cloud computing and edge computing can be used to accelerate the upgrading process.

Improve efficiency：Avoid repeated manual processing of data and increase efficiency by centralizing processing using the system.

Malfunctions monitor：Grasp the status of key equipment in real time, realize automatic safety monitoring, and realize predictive failure and accident prevention.

Data acquisition：Real-time collection of raw data, preliminary data preprocessing at the edge nodes, followed by interaction with the cloud for big data analysis of high-value data, avoiding issues related to heterogeneous data from multiple sources.

V2X communication involves the use of advanced wireless communication and next-generation internet technologies to enable dynamic real-time interaction. This system integrates data collection and fusion across time and space, allowing for proactive vehicle safety control and collaborative road management. It aims to create a safe and efficient road traffic system.

Real-time security：Real-time data collection through roadside edge nodes and vehicles, followed by timely feedback to the vehicles via edge computing.

Flexible Monitoring：Centralized management and monitoring of data through a unified cloud platform, timely feedback of fault events and processing.

Efficient and convenient：Big data and AI algorithms are used to issue commands to edge nodes to improve vehicle operation efficiency, reduce road congestion as well as accidents, and lower costs.

Smart agriculture is an advanced stage of agricultural production. It integrates emerging Internet, mobile Internet, cloud computing and Internet of Things technologies to provide accurate planting, visual management, and intelligent decision-making for agricultural production.

Intelligent production：Relying on various sensor nodes and wireless communication networks deployed in the agricultural production site to achieve intelligent early warning, decision-making and analysis of the agricultural production environment.

Remote Control：Remote control equipment can be realized by logging into the cloud system, and logic automatic control can be set.

Data analysis：Data such as air, soil and temperature are collected through edge nodes to provide a basis for intelligent analysis and automatic control.