A big data-based fog monitoring method

A technology of big data and video data, applied in image data processing, traffic control system of road vehicles, image enhancement, etc., can solve the problems of rare operation in production, application of massive video data without cameras, etc., to achieve engineering practicability, Monitoring the effectiveness of results preparation

Active Publication Date: 2020-11-13
SHANDONG JIAOTONG UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This kind of monitoring system is currently in the research stage, and the massive video data provided by the camera has not been fully applied, and it is rare to run it in production

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A big data-based fog monitoring method
  • A big data-based fog monitoring method
  • A big data-based fog monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0016] This embodiment discloses a method for monitoring cloud fog based on big data, such as figure 1 shown, including the following steps:

[0017] S01), obtaining the video data of each camera in the monitoring road section, and preprocessing the video data;

[0018] In this embodiment, the preprocessing of the video data includes: quickly reviewing and verifying the image data, deleting duplicate information, eliminating image errors caused by problems such as spots on the cameras, and unifying the image formats of all cameras into a common jpg format;

[0019] In this embodiment, the real-time data of each camera is stored in a distributed manner and calculated in parallel.

[0020] S02), extracting an image every 5 seconds from the video image of the camera, 5 consecutive images form a time sequence; the image of the photogram forms a dynamic time sequence image over time;

[0021] S03), using the Gaussian mixture model of moving target monitoring, removing the moving...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a big data-based fog monitoring method, which uses big data technology to process and analyze massive video data (data in a continuous time period of multiple cameras), and establishes a time-series-based fog monitoring method. The method It makes full use of massive image information and the changing law of background pixels when fog bursts, making the monitoring results more prepared and more practical for engineering.

Description

technical field [0001] The invention relates to a big data-based fog monitoring method, which belongs to the technical field of traffic monitoring. Background technique [0002] Fog is known as the "killer" of traffic safety, especially on expressways, where it is more likely to cause major safety accidents. On November 15, 2017, the Yingshang section of Chuxin Expressway was hit by multiple vehicles due to fog, resulting in 18 deaths and 21 injuries. On November 8, 2017, 18 traffic accidents occurred in Zhoukou Taikang section of Yongdeng Expressway due to fog. According to the data published on the website of the Traffic Management Bureau of the Ministry of Public Security in 2016, there are 2,567 expressway sections with more than 3 fog episodes per year, of which 920 sections have more than 10 fog episodes per year, a certain section of the Shenhai Expressway and the Beijing-Hong Kong-Macau Expressway In a certain period, more than 120 clusters of fog occur on average ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/048H04N7/18G06T7/254G06K9/00
CPCH04N7/181G06T7/254G08G1/048G06T2207/30232G06T2207/20224G06T2207/10016G06V20/54
Inventor 冯海霞李炜张萌萌张萌张立东杨作林沈松峰
Owner SHANDONG JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap