The IoT edge computing platform is an intelligent system deployed on edge devices, which extends cloud computing capabilities to edge nodes and performs intelligent computing in the field, which is an important support for distributed autonomy and automatic control. This efficiency - the IoT edge computing platform can process data at the source of data generation, avoiding the need to transmit all data to the cloud, thereby reducing the occupation of network bandwidth and improving data processing efficiency. Low latency - Since data processing is done on edge devices, the latency of data transmission can be greatly reduced, allowing IoT systems to react faster. Security - IoT edge computing platforms can better protect the security and privacy of data, as data processing on edge devices can reduce the risk of data transmission.
Scalability - IoT edge computing platforms can accommodate different sizes and types of IoT systems, and new edge nodes and features can be added as needed. It can deploy AI and machine learning models to edge devices for local intelligent computing and decision-making. It provides an open-source framework that enables the development and deployment of custom applications on edge devices. It can be integrated with a variety of industrial equipment and systems to provide a comprehensive industrial Internet solution. It extends AWS cloud services to edge devices, enabling communication and collaboration between devices. These platforms offer a wealth of features and tools that can help developers build and manage IoT systems more easily.