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Data processing method based on big data and edge computing and big data server

An edge computing and data processing technology, applied in traffic flow detection, electrical components, transmission systems, etc., can solve traffic congestion and other problems

Inactive Publication Date: 2021-04-16
顾小菊
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

With the improvement of people's living standards, most families already own private cars. Although this facilitates people's travel, it also brings about big city diseases such as traffic congestion. A question to consider now

Method used

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  • Data processing method based on big data and edge computing and big data server
  • Data processing method based on big data and edge computing and big data server
  • Data processing method based on big data and edge computing and big data server

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Embodiment Construction

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. Unless otherwise apparent from context or otherwise indicated, like reference numerals in the figures represent like structures or operations.

[0013] It should be understood that "system", "device", "unit" and / or "module" as used herein is a method for distinguishing different components, elements, components, parts or assemblies of different levels. However, the words may be replaced by other expressions if other words can achieve the same purpose.

[0014] As indicated in this application and claims, the terms "a", "an", "an" and / o...

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Abstract

The embodiment of the invention discloses a data processing method based on big data and edge calculation and a big data server, and the method comprises the steps: carrying out the track analysis of a traffic flow data track in target traffic flow data of a target traffic block to be subjected to traffic scheduling, and carrying out local correction and global correction to achieve traffic scheduling processing, and obtaining a driving track corresponding to the target traffic flow data corresponding to the target track in the target traffic flow data in a set time period. Since the interference of the local traffic flow data and the global traffic flow data is considered in determining the driving track corresponding to the target traffic flow data in the set time period, the driving track corresponding to the target traffic flow data in the set time period can be rapidly and accurately determined without consuming much time to determine the expected driving track. In this way, the traffic scheduling efficiency for the target traffic block can be improved as much as possible, and traffic congestion can be relieved in time.

Description

technical field [0001] The present application relates to the technical field of big data and edge computing, in particular to a data processing method and a big data server based on big data and edge computing. Background technique [0002] With the rapid development of big data and Internet-related technologies, people's production and lifestyle have undergone tremendous changes. The application of big data involves various aspects, such as blockchain payment, industrial braking, online cloud education, online cloud office, artificial intelligence, smart park, smart medical care and smart city, etc. Among them, smart cities are closely related to people's lives. With the improvement of people's living standards, most families already own private cars. Although this facilitates people's travel, it also brings about big city diseases such as traffic congestion. A question that needs to be considered at present. Contents of the invention [0003] One of the embodiments o...

Claims

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Application Information

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IPC IPC(8): G08G1/01H04L29/08
Inventor 顾小菊
Owner 顾小菊