AI algorithm process and service all-in-one machine based on edge computing

An edge computing and algorithm technology, applied in the field of cloud computing, to achieve the effect of improving the bottleneck of transmission bandwidth and reducing the degree of dependence

Active Publication Date: 2021-11-19
中山政数大数据科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Based on this, it is necessary to provide an AI algorithm process based on edge computing and an all-in-one service machine for how to avoid relying on transmission bandwidth, ensure the security of transmitted data, and reduce operating costs in the application of edge computing.

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  • AI algorithm process and service all-in-one machine based on edge computing
  • AI algorithm process and service all-in-one machine based on edge computing

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Embodiment Construction

[0031] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0032] see figure 1 , figure 1 It is the flow chart of the AI ​​algorithm flow based on edge computing and the service all-in-one machine of the present invention. The present invention comprises the following steps:

[0033] S1: The Internet of Things collects basic data, and the Inte...

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Abstract

The invention discloses an AI algorithm process based on edge calculation, and the process comprises the following steps: S1, the Internet of Things collects basic data through, and transmits the collected basic data to an AI algorithm module through the Internet of Things; S2, after receiving the basic data, the AI algorithm module firstly calls a data preprocessing module to preliminarily analyze and process the basic data and obtains preprocessed data; S3, the AI algorithm module calls a data encryption module to encrypt the preprocessed data and obtains encrypted data; S4, the AI algorithm module calls a data transmission module to transmit the encrypted data to a cloud platform; and S5, the cloud platform analyzes, classifies and stores the received encrypted data. The defect that the cloud computing technology depends on the transmission bandwidth can be overcome, meanwhile, the security of transmission data can be guaranteed, and the operation cost of edge computing can be reduced.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to an AI algorithm flow and an all-in-one service machine based on edge computing. Background technique [0002] With the continuous advancement of my country's overall information construction system, modern communication technology, and software technology, technologies such as 5G, AI, edge computing, Internet of Things, and big data are continuously injected into the development of smart cities, and smart cities in the traditional sense are also moving towards a new type. Stages of smart city development. In the development stage of this new type of smart city, we are committed to developing the connection between the "cloud", "network end" and "user terminal". The original idea of ​​the integrated development of "cloud, network, and terminal" is that there is an extremely powerful data center in the cloud, which is responsible for data processing, the network ter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04L29/06
CPCH04L67/10H04L67/12H04L63/0428
Inventor 阮俊杰许哲峰何洛贤
Owner 中山政数大数据科技有限公司
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