CN-121564656-B - Hot recycling asphalt mixed heating monitoring system for road and bridge construction

CN121564656BCN 121564656 BCN121564656 BCN 121564656BCN-121564656-B

Abstract

The application relates to the technical field of heating control, in particular to a hot recycled asphalt mixed heating monitoring system for road and bridge construction. The system comprises an acquisition module, a first processing module, a second processing module and a monitoring module, wherein the acquisition module is used for acquiring a thermal infrared gray level image in an asphalt heating tank, determining local abnormal pixel points and further determining initial distribution uniformity degree of the thermal infrared gray level image, the first processing module is used for acquiring a local abnormal connected domain and determining temperature distribution complexity degree of the local abnormal connected domain, the second processing module is used for determining real distribution uniformity degree according to the temperature distribution complexity degree and the initial distribution uniformity degree, the monitoring module is used for determining self-adaptive enhancement weight values, obtaining a target image and obtaining a monitoring result of each monitoring moment in the heating process according to the target image. The application can realize self-adaptive image enhancement and effectively solve the problems of low contrast of the thermal infrared gray image, fuzzy visual effect and large interference information.

Inventors

GUO DONGQING
XIANG MENG
ZHU DALI
TANG ZHENFU
ZONG SHAOHUA
WU DINGYI
CHEN YING
HE PENGFEI
LI YANMING
ZHOU JIAN

Assignees

大连慕泽科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251203

Claims (4)

1. A hot reclaimed asphalt mixes heating monitored control system for road and bridge construction, its characterized in that, the system includes: The system comprises an acquisition module, a monitoring device, a local abnormal pixel point acquisition module and a local control module, wherein the acquisition module is used for acquiring a thermal infrared gray image at each monitoring time in the thermal regeneration asphalt mixing heating process, and determining the local abnormal pixel point according to the gray value of the pixel point in the thermal infrared gray image; The first processing module is used for carrying out region growth on each local abnormal pixel point to obtain a local abnormal connected domain, obtaining adjacent pixel points of each pixel point in the local abnormal connected domain, and determining the temperature distribution complexity degree of the local abnormal connected domain according to the gray value variance of all the pixel points in the local abnormal connected domain and the gradient direction of the pixel points and the adjacent pixel points; The second processing module is used for determining the real distribution uniformity degree of the thermal infrared gray images acquired at each monitoring time according to the temperature distribution complexity degree of all local abnormal connected domains in the thermal infrared gray images acquired at each monitoring time and the initial distribution uniformity degree of the thermal infrared gray images; The monitoring module is used for enhancing the thermal infrared gray level image acquired at each monitoring moment according to the real distribution uniformity degree to obtain a target image; the determining the local abnormal pixel point comprises the following steps: Counting the quartiles of a set formed by gray values of all pixel points in the thermal infrared gray image obtained at each monitoring moment, and performing anomaly analysis based on the quartiles to determine a preset first gray threshold value and a preset second gray threshold value; Taking a pixel point with a gray value larger than a preset first gray threshold value in the thermal infrared gray image obtained at each monitoring moment as a high Wen Xiangsu point, and taking a pixel point with a gray value smaller than a preset second gray threshold value in the thermal infrared gray image obtained at each monitoring moment as a low-temperature pixel point; taking the Gao Wenxiang pixel points and the low-temperature pixel points as the local abnormal pixel points; The determining the initial distribution uniformity of the thermal infrared gray scale image comprises the following steps: Taking the average value of the accumulated result of the absolute value of the difference value between the gray value of each local abnormal pixel point and the gray value average value of all local abnormal pixel points in the thermal infrared gray image as an abnormal temperature parameter of the thermal infrared gray image; determining a first influence factor based on the uniformity of the position distribution of all local abnormal pixel points in the thermal infrared gray scale image; Calculating the product of a first influence factor and the abnormal temperature parameter, and taking the normalization result of the opposite number of the product as the initial distribution uniformity degree of the thermal infrared gray level image; the obtaining the adjacent pixel point of each pixel point in the local abnormal communication domain includes: for any local abnormal pixel point, taking each local abnormal pixel point as an initial seed point, and obtaining an extraction result of a local abnormal connected domain in the thermal infrared gray level image by using a region growing algorithm; determining the vertical direction of the gradient direction of any pixel point in the local abnormal communication domain as a target direction; in the target direction, determining two other pixel points closest to the pixel point as adjacent pixel points of the pixel point; the determining the complexity of the temperature distribution of the local abnormal connected domain includes: Respectively counting the intersection points of a straight line where the gradient direction of any pixel point in the local abnormal communication domain is located and a straight line where the gradient direction of the adjacent pixel point of the pixel point is located, and determining a distance influence factor according to the number of the intersection points and the distance between the intersection points; Calculating the normalization result of the average value opposite number of the distance influence factors of all pixel points in the local abnormal connected domain as the temperature distribution complexity of the local abnormal connected domain; The determining the real distribution uniformity degree of the thermal infrared gray level image acquired at each monitoring time comprises the following steps: Calculating the average value of the temperature distribution complexity degree of all local abnormal connected domains in the thermal infrared gray level image obtained at each monitoring moment; Taking the sum of the normalization result of the mean value and the constant parameter as a denominator; taking the ratio of the initial distribution uniformity degree of the thermal infrared gray image obtained at each monitoring moment to the denominator as the real distribution uniformity degree of the thermal infrared gray image obtained at each monitoring moment; the method for obtaining the target image comprises the following steps: Taking the ratio of the inverse proportion mapping result of the real distribution uniformity degree of the thermal infrared gray image obtained at each monitoring moment to the sum of the inverse proportion mapping results of the preset number of monitoring moments before the current moment as the weight parameter of the thermal infrared gray image obtained at each monitoring moment; Taking the sum of the product of the first preset parameter and the weight parameter and the second preset parameter as the self-adaptive enhancement weight of the thermal infrared gray image obtained at each monitoring moment; Image layering is carried out on the thermal infrared gray level image based on a bilateral filtering processing method, and a background layer image and a detail layer image are obtained; and taking the self-adaptive enhancement weight as the weight of the detail layer image, taking the difference value between 1 and the self-adaptive enhancement weight as the weight of the background layer image, and carrying out weighted fusion to obtain the target image.
2. The system for monitoring the mixed heating of the thermal asphalt for road and bridge construction according to claim 1, wherein the method for obtaining the first influencing factor is as follows: uniformly dividing the thermal infrared gray level image into a preset number of gray level sub-images; And taking the sum of the variance of the number of high Wen Xiangsu points and the variance of the number of low-temperature pixels in all gray sub-images as a first influence factor.
3. The system for monitoring the mixed heating of the thermal asphalt for road and bridge construction according to claim 1, wherein the determining a distance influencing factor according to the number of the intersections and the distance between the intersections comprises: When the number of the intersection points is smaller than 2, determining that the distance influence factor is 1; and when the number of the intersection points is equal to 2, normalizing the Euclidean distance between the two intersection points to obtain a distance influence factor.
4. The system for monitoring the heating of the mixture of the thermal asphalt for road and bridge construction according to claim 1, wherein the determining the heating monitoring result at each monitoring time in the process of heating the mixture of the thermal asphalt comprises: and accurately visualizing a temperature distribution result at each monitoring time in the hot recycled asphalt mixing and heating process based on a target image at each monitoring time, and obtaining a heating monitoring result at each monitoring time through comparison analysis with a standard temperature distribution result, wherein the monitoring result comprises two types of qualified and unqualified.

Description

Hot recycling asphalt mixed heating monitoring system for road and bridge construction Technical Field The application relates to the technical field of industrial monitoring, in particular to a hot recycled asphalt mixed heating monitoring system for road and bridge construction. Background The hot recycled asphalt mixed heating is that old asphalt pavement is milled and transported to recycling equipment, a proper amount of new asphalt, additives and other materials are added to form new asphalt mixture, and then the new asphalt mixture is paved on bridge pavement by using equipment such as a paver and the like to form new asphalt pavement, so that the use amount of raw materials such as new asphalt can be greatly reduced, resources are saved, cost is reduced, and the influence on environment is reduced. In the process of mixing and heating the hot recycled asphalt, the new asphalt, the old asphalt and other auxiliary materials are required to be stirred and mixed, so that the uniform temperature distribution and the uniform material texture are ensured, and when the material temperature is uneven or locally too high and too low in the heating process, the performance and the quality of the asphalt mixture are affected. In the industrial process of heating the hot recycled asphalt, the heated industrial process needs to be monitored by monitoring equipment in a monitoring system so as to facilitate safe production, raw material addition and the like. At the present stage, the image of the regeneration equipment in the heating process is acquired through the thermal imager, the image acquired in the thermal imager is enhanced, and the heating monitoring is carried out according to the image after the image enhancement, in this way, because the heating conditions are different at different stages, therefore, the image enhancement effect has larger difference, so that the problems of low contrast, blurred visual effect and the like of the image after the image enhancement are easy to generate, and the monitoring effect of the monitoring system on the heating process is influenced. Disclosure of Invention In order to solve the technical problems that the contrast is low, the visual effect is fuzzy and the interference information is large easily generated in the image after the image is enhanced, the application provides a hot recycling asphalt mixed heating monitoring system for road and bridge construction, which adopts the following technical scheme: the application provides a hot recycling asphalt mixed heating monitoring system for road and bridge construction, which comprises the following components: The system comprises an acquisition module, a monitoring device, a local abnormal pixel point acquisition module and a local control module, wherein the acquisition module is used for acquiring a thermal infrared gray image at each monitoring time in the thermal regeneration asphalt mixing heating process, and determining the local abnormal pixel point according to the gray value of the pixel point in the thermal infrared gray image; The first processing module is used for carrying out region growth on each local abnormal pixel point to obtain a local abnormal connected domain, obtaining adjacent pixel points of each pixel point in the local abnormal connected domain, and determining the temperature distribution complexity degree of the local abnormal connected domain according to the gray value variance of all the pixel points in the local abnormal connected domain and the gradient direction of the pixel points and the adjacent pixel points; The second processing module is used for determining the real distribution uniformity degree of the thermal infrared gray images acquired at each monitoring time according to the temperature distribution complexity degree of all local abnormal connected domains in the thermal infrared gray images acquired at each monitoring time and the initial distribution uniformity degree of the thermal infrared gray images; The monitoring module is used for enhancing the thermal infrared gray level image acquired at each monitoring time according to the real distribution uniformity degree to obtain a target image, and determining a heating monitoring result at each monitoring time in the thermal regeneration asphalt mixing heating process based on the target image acquired at each monitoring time. Preferably, the determining the local abnormal pixel point includes: Counting the quartiles of a set formed by gray values of all pixel points in the thermal infrared gray image obtained at each monitoring moment, and performing anomaly analysis based on the quartiles to determine a preset first gray threshold value and a preset second gray threshold value; Taking a pixel point with a gray value larger than a preset first gray threshold value in the thermal infrared gray image obtained at each monitoring moment as a high Wen Xiangsu point, and taking a pixel point with a gray value small