1, self-driving car
The automatic formation of truck fleet may be one of the first use cases of automatic vehicles. Here, a group of trucks follow each other in the fleet, saving fuel costs and reducing congestion. With edge computing, all trucks except the truck in front will no longer need drivers, because trucks will be able to communicate with each other with ultra-low delay.
2. Remote monitoring of oil and gas industry assets
The failure of oil and gas can be catastrophic. Therefore, their assets need to be carefully monitored.
However, oil and gas plants are often located in remote areas. Edge computing brings real-time analysis and processing closer to assets, which means less dependence on high-quality centralized cloud connections.
3. Smart grid
Edge computing will become the core technology to adopt smart grid more widely, which will help enterprises to better manage their energy consumption.
Sensors and IOT devices connected to the edge platforms of factories, factories and offices are being used to monitor energy use and analyze its consumption in real time. With real-time visibility, enterprises and energy companies can reach new deals, such as running high-power machinery during off-peak hours of power demand. This may increase the consumption of green energy, such as wind energy.
4. Predictive maintenance
Manufacturers want to be able to analyze and detect changes in production lines before failures occur.
Edge computing helps to bring data processing and storage closer to devices. This enables the IOT sensor to monitor the health status of the machine with low delay and perform analysis in real time.
5. Hospitalization care
Health care includes several advantages and opportunities. At present, monitoring devices, such as blood glucose monitors, health tools and other sensors, are either not connected or need to store a large amount of unprocessed device data on the third-party cloud. This brings safety problems to medical staff.
Edge on the hospital website can process data locally and protect data privacy. Edge computing can also inform practitioners of abnormal trends or behaviors of patients in time.
6. Cloud games
Cloud game is a new type of game, which can transmit the real-time content of the game directly to the device. This game is highly dependent on latency.
Cloud game companies are looking for edge servers as close as possible to players to reduce delays and provide a fully responsive immersive gaming experience.
7. Content delivery
By caching content at the edge, such as music, video streams, web pages, etc. Content dissemination can be greatly improved. The delay can be significantly reduced. Content providers are seeking to distribute CDN more widely to ensure the flexibility and customization of the network according to the user's traffic demand.
8. Traffic management
Edge computing can make urban traffic management more effective. Examples of this include optimizing bus frequency in the case of fluctuating demand, managing the opening and closing of extra lanes, and managing the traffic of future self-driving cars.
Through edge computing, processing and storage are closer to smart home, reducing round-trip time and processing sensitive information at the edge. For example, the response time of voice assistant devices such as Alexa of Amazon will be much faster.
With edge computing, there is no need to transmit a large amount of traffic data to the centralized cloud, thus reducing the cost of bandwidth and delay.
9. Smart home
Smart home relies on IOT devices to collect and process data around the house. Usually, these data are sent to a central remote server for processing and storage. However, this existing architecture has problems in backhaul cost, delay and security.
Through edge computing, processing and storage are closer to smart home, round-trip time is reduced, and sensitive information is processed at the edge.
These are just some of the many use cases supported by edge computing in many industries. Taking the application example of harmonic cloud edge computing as an example, in the communication field, harmonic cloud has customized and developed a cloud edge collaboration platform for the business scenario of an online service company of an industry giant to help it easily cope with the traffic peak; In the field of transportation, the "Container-based Next Generation Che Yun Collaborative Architecture" was built in conjunction with SAIC Commercial Vehicle Technology Center, which is the first "cloud, edge and end" integrated architecture in the automobile industry, which can realize large-scale access to millions of vehicles. We have built an integrated collaborative product for a sea-crossing bridge, accumulated rich experience in "edge-to-end" equipment protocol docking, and delivered the industry's top "soft and hard integration" overall solution.
Among them, an online service company and SAIC case won the awards of "Top Ten Practice Cases of Distributed Cloud and Cloud Edge Collaboration in 2020" and "Top Ten Practice Cases of Distributed Cloud and Cloud Edge Collaboration in 20021year" respectively. Its edge computing products have passed the "202 1 Cloud Edge Collaboration Capability Assessment", "Edge All-in-One Machine, Trusted Internet of Things Cloud Platform (General/Security Requirements)" and won the Zhejiang CCF202 1 Excellent Product Award, which has an excellent reputation in the industry and has been recognized by industry authorities.
At present, harmonic cloud edge computing has been practiced in distributed cloud, Internet of Things, vehicle-cloud collaboration, edge intelligent finance and other scenarios, setting a practical benchmark and a classic case for the field of edge computing. And it has been verified on a large scale in some typical industries such as communication, transportation, finance, military industry and so on.