Edge computing gateway device

Abstract

The present invention proposes an edge computing gateway device, including: a collection management module for collecting data collected by multiple sensing devices, wherein the collected data includes analog quantities, switching quantities, files, and audio and video files; a calculation module for Edge computing and local control computing are performed on the collected data to control multiple sensing devices; the container management module is used to manage multiple containers, and the container includes a combination of the number of CPU cores, memory, storage resources and interface resources , where each container runs its own application software. The present invention combines software-defined technology, virtualized edge computing environment technology and Internet of Things technology to make the functions of the edge computing gateway more diversified, and has high computing efficiency, high reliability, wide application range, good flexibility and portability, and can meet Multiple demands.

Description

technical field [0001] The present invention relates to the field of software technology, in particular to an edge computing gateway device. Background technique [0002] Edge computing technology is of great significance for improving the computing performance of the "cloud-end" model. This is the consensus of the industry. Edge computing technology has played an increasingly important role in the current Internet and Internet of Things industries, and it has become an AI technology that can provide more The best carrier for a good implementation. [0003] With the development of edge computing technology, two trends are becoming more and more obvious: [0004] (1) The edge computing system is rapidly miniaturized from large-scale to small-sized and miniaturized embedded edge computing devices with more flexible deployment and lower cost than edge computing systems using traditional PC architecture. [0005] (2) More and more AI functions and algorithms are deployed and i...

AI Technical Summary

Problems solved by technology

[0008] 1. System complexity and unreliability caused by protocol diversity

[0009] The control and communication protocols involved in the field of industrial and intelligent manufacturing are complex and diverse. From the physical layer, the link layer, the network layer to the application layer, different standardization organizations, industries and enterprises have proposed and applied a large number of control protocols and communication protocols. In field applications, a large number of hardware devices and software must be used to adapt and convert these protocols, resulting in increased cost, increased engineering complexity, increased difficulty in daily maintenance, more fault links, and reduced system reliability.

[0010] 2. Usability problems caused by capacity and performance limitations

Traditional industrial communication gateways cannot meet the needs of IoT and big data applications in terms of capacity and performance due to limitations of the original software and hardware technical architecture and electronic device level

[0012] 3. "Cloud computing" technology cannot meet the requirements of industrial and manufacturing applications

[0014] 4. The device computing architecture cannot meet the agile and rapid generation and application of application logic and algorithms

[0015] That is to say, traditional industrial communication gateways or control devices, using traditional embedded computing environments, can only support a single processing logic and algorithm. After the software / firmware is written to the device, the device becomes a single functional body. If If you want to introduce new functions or algorithms, you must stop and reprogram and reload, or simply replace the device. There are great problems in terms of flexibility, convenience, and especially the rapid copying and sharing of a large number of different types of APP applications.

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