Hot mix asphalt concrete grey material identification and detection algorithm

A technology of asphalt concrete and detection algorithms, applied in computing, image data processing, instruments, etc., can solve the problems of being easily affected by driving, personal safety risks, and low recognition accuracy, and eliminate the influence of equipment technology and equipment type limitations, computational simplicity, and short runtime effects

Inactive Publication Date: 2017-03-22
CCCC XIAN ROAD CONSTR MACHINERY
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that artificial identification of graying materials in the prior art is easy to cause eye fatigue, low work efficiency and low recognition accuracy, and at the same time, during road construction, manual identification of graying materials is easily affected by driving, and there are certain risks to personal safety. The problem of risk, the present invention provides the following technical solutions to solve:

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
  • Hot mix asphalt concrete grey material identification and detection algorithm
  • Hot mix asphalt concrete grey material identification and detection algorithm
  • Hot mix asphalt concrete grey material identification and detection algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054]The invention provides a hot-mix asphalt concrete gray material identification and detection algorithm, such as the algorithm flow figure 2 , including the following steps:

[0055] Step 1: Input the collected asphalt concrete image, and preprocess the image to obtain the filtered asphalt concrete image; specifically include:

[0056] 11: Perform Gaussian filtering on the collected asphalt concrete image, where the Gaussian filtering operator used is:

[0057] 1 2 1 2 4 2 1 2 1

[0058] 12: Convolve the collected asphalt concrete image - highlight detail filtering, where the convolution kernel used is:

[0059] -1 -1 -1 -1 10 -1 -1 -1 -1

[0060] Use a Gaussian filter with a 3×3 kernel to reduce noise, enhance image contrast, and improve image quality. Use a convolution-highlight detail filter with a 3×3 convolution kernel to highlight details such as image edges.

[0061] Step 2: For the filtered asphalt concret...

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 hot mix asphalt concrete grey material identification and detection algorithm. The algorithm comprises the steps that an asphalt mixture image is collected, and a series of pre-processing is carried out on the image; the mean value of image gray values and the image gray standard deviation are calculated; through the morphological processing of a concrete gray image, the total area of grey material particles and the proportion parameter of the total area of the grey material particles in the total area of the image are calculated; the mean value of the image gray values and the image gray standard deviation are combined with the total area of the grey material particles and the proportion parameter of the total area of the grey material particles in the total area of the image to determine whether an asphalt mixture is evenly stirred; if the asphalt mixture is not evenly stirred, a stirring policy is changed to continue stirring; and judgment is repeated until a requirement is met. The algorithm provided by the invention has the advantages of simple calculation and short running time, and is free of manual participation. Simply by inputting collected asphalt concrete image data, the asphalt stirring evenness is detected. The detection algorithm has the advantages of high efficiency and accurate detection.

Description

technical field [0001] The invention relates to the field of road construction machinery and construction mechanization, in particular to an algorithm for identifying and detecting hot-mixed asphalt concrete stains. Background technique [0002] In the current municipal road construction, the pavement type is mainly asphalt concrete, so the quality control of asphalt concrete is particularly important. Therefore, when asphalt concrete leaves the factory, there are several problems that need to be observed carefully to prevent the problematic materials from being paved on the road. Among them, asphalt concrete graying material refers to the situation that when the asphalt and stone are mixed, the mixing is uneven, and some of them are wrapped with too much asphalt, and some of them are not wrapped. After the asphalt concrete is paved, if there is a lot of asphalt wrapped, the asphalt will be free, and the asphalt will become soft when the temperature is high. The graying ma...

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 Applications(China)
IPC IPC(8): G06T7/136
CPCG06T7/0006G06T2207/10004G06T2207/20024G06T2207/30132
Inventor 杨向阳张永卫赵飞梁新文童毅宾施发垦吴相军袁安李龙侯广涛邰建飞
Owner CCCC XIAN ROAD CONSTR MACHINERY
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