This layer is the layer that specifically implements various management functions of the Internet of Things, and is the layer that users are most directly exposed to (which can be simply understood as all previous layers were built as the foundation for higher performance operation of this layer). Please refer to the functional architecture diagram for the functional module structure in this layer.

Implement the following basic functions for the entire IoT platform: (1) Microservices, a distributed service framework, is a PaaS platform that revolves around applications and microservices, providing full lifecycle management capabilities and data-driven operational support for services. It provides multi-dimensional monitoring data for applications, services, and machines, helping optimize service performance. (2) Container service, the container resource management module provides platform level product capability interfaces with the ability to "visualize" container management; Through Network Policy technology, policy based network control is provided to isolate applications and reduce attack surfaces. It simulates traditional segmented networks using label selectors and controls the traffic between them and the complete security policy of traffic from external sources ...

The IaaS layer mainly provides elastic computing and storage resources, achieving three types of virtualization: computing resource virtualization, network resource virtualization, and storage resource virtualization. Complete the following functions: resource abstraction, load management, resource deployment, and security management. Our company collaborates with cloud service providers such as Alibaba, Huawei, Tencent, and JD.com to become the foundation and backbone for providing customers with high-quality industrial IoT services. At the same time, our company's products also support private cloud local deployment, providing customers with more solutions....

Edge computing enables real-time data to be dynamically analyzed, processed and stored on the device side and the network edge side to solve the problem of massive sensor data processing on the Internet of Things platform; Can integrate OT and IT to form data-driven distributed intelligent control; The application has high real-time performance and high security in interaction with physical systems. Edge computing is just to make full use of the embedded computing capability of the end of the thing, realize the intelligence and autonomy of the end of the thing in the way of distributed information processing, and combine with cloud computing to achieve the overall intelligence of the system through the interaction and cooperation of the cloud. On the edge side of intelligent interconnection networks, communication and computing for distributed perception, decision-making, and ...