Edge computing is also gaining importance in the automotive sector in Factory Edge and Vehicle Edge. Factory Edge is aimed at manufacturing and logistics processes, and Vehicle Edge is the basis of connected vehicles. We explain the differences in more detail.
The future of the automotive industry lies in software-controlled, autonomous, networked vehicles with electric drives and the linking of production and supply chains. The result severely impacts the manufacturer’s value chain: from research and development to sales, production, and after-sales. Key elements for the changes are factory edge and vehicle edge.
Edge computing moves data processing from centralized data centers to remote, distributed locations. This means data can be consolidated and analyzed before being sent to an on-site data center. This eliminates network connection challenges in terms of bandwidth or latency. By reducing transmission delays, one can also avoid service outages.
Edge computing is currently being massively promoted, especially in the telecommunications sector in the 5G context. Service providers are modernizing their networks by moving their workloads and services from the core networks in data centers to the edge. And the automotive sector is also increasingly relying on edge computing, i.e., the provision of computing resources away from central data centers directly on a device such as a robot in the factory hall or a vehicle.
Edge computing in manufacturing and the vehicle there are two key edge scenarios for a vehicle manufacturer: factory edge and vehicle edge. Factory Edge is the basis for more robust networking of production and logistics and for optimizing production capacities and logistics processes. This enables automobile manufacturers to implement their current initiatives in an optimized manner. On the one hand, they are modernizing production processes to manufacture and deliver new models quickly, safely, and cost-effectively.
On the other hand, they are increasing the degree of agility of production plants through automation, smart manufacturing, or AI to support the transition from rigid mass production to customized manufacturing. There is a need to analyze large amounts of data quickly. And this task occurs to a large extent directly on the production line with IT networking with the plants or control systems, i.e., at the factory edge. Predictive maintenance, data sharing services, or asset management.
The topic of vehicle edge is that a computing unit in the vehicle is either independent or in connection with an edge gateway close to the vehicle, approximately at the roadside, works. Vehicle edge is of growing importance for the evolution of a classic car into a bright, connected car that needs to analyze data and make decisions in real-time. In addition.
Vehicle Edge is the basis of a software-defined vehicle in which features can be dynamically loaded and activated. In principle, future more connected vehicles will be intelligent hubs that are part of a much broader ecosystem with which they interact. For example, a car could provide environmental information or data to optimize parking space usage in cities. Ultimately, Vehicle Edge is also required to implement innovative concepts such as Car-as-a-Service, Mobility-as-a-Service, or Smart City.
Edge computing or 5G are key technologies, but they are not the only ones driving change in the automotive industry. V2X communication, i.e., the possibility for the vehicle edge to communicate with other vehicles, roadside infrastructure or core platforms, or LiDAR (Light Detection and Ranging) systems for autonomously driving cars, also plays important roles. However, one fact cannot be disputed: Edge computing and 5G are indispensable prerequisites for the efficient use of these technologies.
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