CN109308698B - Method and system for evaluating construction quality of asphalt pavement - Google Patents
Method and system for evaluating construction quality of asphalt pavement Download PDFInfo
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- CN109308698B CN109308698B CN201811162511.8A CN201811162511A CN109308698B CN 109308698 B CN109308698 B CN 109308698B CN 201811162511 A CN201811162511 A CN 201811162511A CN 109308698 B CN109308698 B CN 109308698B
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- G06T7/0004—Industrial image inspection
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- G06T2207/10048—Infrared image
Abstract
The invention discloses a method and a system for evaluating construction quality of an asphalt pavement, which are used for acquiring an original infrared image of the asphalt pavement in the construction process; intentionally intercepting a partial image of the original infrared image and carrying out perspective transformation on the partial image to obtain an RGB rectangular image; converting the RGB rectangular image into a rectangular gray image; reading the temperature and gray information of check points on the rectangular gray image by using Matlab software, and establishing a linear function relation between gray and temperature; reading gray information of a rectangular gray image on the asphalt pavement by using Matlab software, and obtaining a temperature matrix based on the established linear function relationship between the gray and the temperature; setting a temperature threshold Ts according to temperature control requirements of different rolling stages of initial pressure, medium pressure and final pressure of the asphalt pavement, and calculating the percentage of temperature data points in a temperature matrix, which are lower than the threshold Ts, in the temperature matrix; the intelligent mobile phone is used in cooperation with the thermal imaging camera, so that the infrared imaging cost for detecting the traditional asphalt pavement is greatly reduced.
Description
Technical Field
The invention relates to the technical field of road engineering, in particular to a method and a system for evaluating construction quality of an asphalt pavement.
Background
In the paving and rolling construction process of the asphalt pavement, the temperature segregation of the asphalt mixture can cause the pavement compactness to be uneven, thereby reducing the construction quality of the pavement, causing the long-term service performance of the pavement to be reduced, and prolonging the service life of the pavement. A traditional asphalt pavement paving temperature detection mode, such as a thermometer or a handheld infrared temperature measuring gun, can only measure a single point, and has the advantages of contingency and randomness. Although the dedicated infrared imager can collect the infrared image of the construction process to control the temperature segregation of the asphalt mixture, its high price limits the popularity of this technology.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides the method and the system for evaluating the construction quality of the asphalt pavement, and the infrared imaging cost for traditional asphalt pavement detection is greatly reduced by using the smart phone and the thermal imaging camera in a matched manner.
The invention provides a method for evaluating construction quality of an asphalt pavement, which comprises the following specific steps:
s1: acquiring an original infrared image of an asphalt pavement in a construction process;
s2: arbitrarily intercepting a partial image of the original infrared image and obtaining an RGB rectangular image through perspective transformation of the partial image;
s3: converting the RGB rectangular image into a rectangular gray image;
s4: reading temperature and gray information on a rectangular gray image by using Matlab software, and establishing a linear function relation between gray and temperature;
s5: reading gray scale information of a rectangular gray scale image on the asphalt pavement by using Matlab software, and obtaining a temperature matrix based on the linear function relation between the gray scale and the temperature established in the step S4;
s6: setting a temperature threshold Ts according to temperature control requirements of different rolling stages of initial pressure, medium pressure and final pressure of the asphalt pavement, and calculating the percentage of temperature data points in a temperature matrix, which are lower than the threshold Ts, in the temperature matrix;
s7: calculating the variance of all data points in the temperature matrix as a non-uniformity coefficient;
s8: and evaluating the pavement construction quality by adopting the uneven coefficient and the percentage.
Further, the actual temperature of the check point on the original infrared image is measured using a thermometer and the position of the check point is recorded, and the linear function relationship of the gray scale and the temperature in step S4 is checked based on the actual temperature of the check point on the original infrared image.
Further, the linear function relationship between the gray scale and the temperature in step S4 is established by the following function calculation:
T0＝a0G+b0
wherein: t is a unit of0Is the uncorrected fitting temperature, G is the gray value of the pixel point, a0And b0Fitting parameters before checking.
Further, the actual temperature of the check point on the original infrared image is used to check the linear function relationship between the gray scale and the temperature in step S4, and the function is as follows:
Tcal＝acalG+bcal
wherein: t iscalIs the fitting temperature after the check, G is the gray value of the pixel point, acalAnd bcalAnd fitting parameters after checking.
Further, the system for evaluating the construction quality of the asphalt pavement comprises a thermal imaging camera and quality evaluation equipment, wherein the thermal imaging camera is connected with the input end of the quality evaluation equipment, and the quality evaluation equipment comprises an acquisition module, an interception module, a conversion module, a linear function relationship establishing module of gray scale and temperature, a temperature matrix calculation module, a percentage calculation module, an uneven coefficient calculation module and an evaluation module;
the system for evaluating the construction quality of the asphalt pavement further comprises a central control system which is in signal connection with the quality evaluation equipment and is used for controlling the quality evaluation equipment to evaluate the construction quality of the asphalt pavement;
the acquisition module is used for acquiring an original infrared image of the asphalt pavement in the construction process;
the intercepting module is used for arbitrarily intercepting a partial image of the original infrared image and obtaining an RGB rectangular image through perspective transformation of the partial image;
the conversion module is used for converting the RGB rectangular image into a rectangular gray image;
the linear function relationship establishing module of the gray scale and the temperature is used for reading the temperature and gray scale information of check points on the rectangular gray scale image by using Matlab software and establishing the linear function relationship of the gray scale and the temperature;
the temperature matrix calculation module is used for reading the gray information of the rectangular gray image on the asphalt pavement by using Matlab software, and obtaining a temperature matrix based on the linear function relationship between the gray and the temperature established in the step S4;
the percentage calculation module is used for setting a temperature threshold Ts according to the temperature control requirements of different rolling stages of the initial pressure, the medium pressure and the final pressure of the asphalt pavement, and calculating the percentage of the number of temperature data points in the temperature matrix, which are lower than the threshold Ts;
the non-uniform coefficient calculation module is used for calculating the variance of all data points in the temperature matrix as a non-uniform coefficient;
the evaluation module is used for evaluating the pavement construction quality by adopting the uneven coefficient and the percentage.
Furthermore, the output end of the acquisition module is in signal connection with the input end of the interception module, the output end of the interception module is in signal connection with the input end of the conversion module, the output end of the conversion module is in signal connection with the input end of the gray scale and temperature linear function relationship establishment module, the output end of the gray scale and temperature linear function relationship establishment module is in signal connection with the input end of the temperature matrix calculation module, the output end of the temperature matrix calculation module is in signal connection with the input end of the percentage calculation module and the input end of the non-uniform coefficient calculation module respectively, the output end of the percentage calculation module and the output end of the non-uniform coefficient calculation module are in signal connection with the input end of the evaluation module respectively, and the output end of the evaluation module is in signal connection with an external display device
The method and the system for evaluating the construction quality of the asphalt pavement have the advantages that: according to the method and the system for evaluating the construction quality of the asphalt pavement, provided by the structure, the intelligent mobile phone is matched with the thermal imaging camera for use, so that the infrared imaging cost for traditional asphalt pavement detection is greatly reduced, and the portability of equipment for asphalt pavement detection is improved; and the temperature analysis strength of the asphalt pavement is improved through function checking.
Drawings
FIG. 1 is a schematic representation of an original infrared image of a bituminous pavement according to the present invention;
FIG. 2 is a rectangular grayscale image of the present invention;
FIG. 3 is a system block diagram of an asphalt pavement construction quality evaluation system;
FIG. 4 is a flow chart of the working steps of the present invention.
Detailed Description
According to the method and the system for evaluating the construction quality of the asphalt pavement, disclosed by the invention, the construction quality of the asphalt pavement is evaluated by utilizing the smart phone and the thermal imaging camera, and the infrared imaging cost used for traditional asphalt pavement detection is greatly reduced by using the smart phone and the thermal imaging camera in a matched manner.
The technical solution of the present invention will be described in detail below with reference to specific examples.
The invention provides a method for evaluating construction quality of an asphalt pavement, which comprises the following specific steps as shown in figure 4:
s1: and acquiring an original infrared image of the asphalt pavement in the construction process.
As shown in fig. 1 and 4, a thermal imaging camera is used for acquiring an original infrared image of an asphalt pavement in a construction process and transmitting information of the original infrared image to a smart phone, the temperature measurement range of the thermal imaging camera is from-40 ℃ to 330 ℃, and the resolution of a sensor is 320 x 240(7.68 ten thousand pixels);
s2: optionally intercepting asphalt pavement information on partial images in the original infrared image and obtaining RGB rectangular images through perspective transformation;
s3: converting the RGB rectangular image into a rectangular gray image;
converting the RGB rectangular image into a rectangular gray image by adopting photoshop software or Matlab software perspective transformation, as shown in fig. 2, wherein the RGB rectangular image is a rectangular image formed by red (red), green (yellow) and blue (blue) three colors;
s4: reading temperature and gray information on a rectangular gray image by using Matlab software, and establishing a linear function relation between gray and temperature;
the linear function relationship of the gray scale and the temperature is established according to the following functions:
T0＝a0G+b0
wherein: t is0Is the uncorrected fitting temperature, G is the gray value of the pixel point, a0And b0Fitting parameters before checking;
s5: reading gray scale information of a rectangular gray scale image on the asphalt pavement by using Matlab software, and obtaining a temperature matrix based on the linear function relation between the gray scale and the temperature established in the step S4;
wherein: t is tijA temperature corresponding to each pixel point;
s6: setting a temperature threshold Ts according to temperature control requirements of different rolling stages of initial pressure, medium pressure and final pressure of the asphalt pavement, and calculating the percentage of temperature data points in a temperature matrix, which are lower than the threshold Ts, in the temperature matrix;
s7: calculating the variance of all data points in the temperature matrix as a non-uniformity coefficient;
s8: and evaluating the pavement construction quality by adopting the uneven coefficient and the percentage.
Preferably, the actual temperature of the check point on the original infrared image is measured by using a thermometer and the position of the check point is recorded, the linear function relationship between the gray scale and the temperature in the step S4 is checked based on the actual temperature of the check point on the original infrared image, and the linear function relationship between the gray scale and the temperature in the step S4 is checked based on the actual temperature of the check point on the original infrared image according to the following functions:
Tcal＝acalG+bcal
wherein: t iscalIs the fitting temperature after the check, G is the gray value of the pixel point, acalAnd bcalAnd fitting parameters after checking.
Preferably, the threshold Ts is set according to "road asphalt pavement construction technical specification JTG F40", and the percentage of data points in the temperature matrix that are lower than the threshold temperature is calculated according to the following formula:
wherein: n is the number of data points below the threshold temperature, i is the number of rows in the temperature matrix, and j is the number of columns in the temperature matrix.
The thermal imaging camera can be integrated into one piece on the smart mobile phone, and the thermal imaging camera also can exist independently, and it passes through signal connection with the smart mobile phone, carries bituminous paving image information to the smart mobile phone in, removes remote control.
As shown in fig. 3, an asphalt pavement construction quality evaluation system includes a thermal imaging camera and a quality evaluation device, the thermal imaging camera is connected with an input end of the quality evaluation device, the quality evaluation device includes an acquisition module, an interception module, a conversion module, a linear function relationship establishment module of gray scale and temperature, a temperature matrix calculation module, a percentage calculation module, an uneven coefficient calculation module, and an evaluation module, and further includes a central control system in signal connection with the quality evaluation device for controlling the quality evaluation device to evaluate the asphalt pavement construction quality.
The thermal imaging camera is connected with the input end of the acquisition module, the output end of the acquisition module is in signal connection with the input end of the interception module, the output end of the interception module is in signal connection with the input end of the conversion module, the output end of the conversion module is in signal connection with the input end of the gray scale and temperature linear function relation establishment module, the output end of the gray scale and temperature linear function relation establishment module is in signal connection with the input end of the temperature matrix calculation module, the output end of the temperature matrix calculation module is in signal connection with the input end of the percentage calculation module and the input end of the non-uniform coefficient calculation module respectively, the output end of the percentage calculation module and the output end of the non-uniform coefficient calculation module are in signal connection with the input end of the evaluation module respectively, and the output end of the evaluation module is in signal connection with the display device.
The acquisition module is used for acquiring an original infrared image of the asphalt pavement in the construction process;
the intercepting module is used for arbitrarily intercepting a partial image of the original infrared image and obtaining an RGB rectangular image through perspective transformation of the partial image;
the conversion module is used for converting the RGB rectangular image into a rectangular gray image;
the linear function relationship establishing module of the gray scale and the temperature is used for reading the temperature and gray scale information of check points on the rectangular gray scale image by using Matlab software and establishing the linear function relationship of the gray scale and the temperature;
the temperature matrix calculation module is used for reading the gray information of a rectangular gray image on the asphalt pavement by using Matlab software and obtaining a temperature matrix based on the linear function relationship between the gray and the temperature established by the temperature matrix calculation module;
the percentage calculation module is used for setting a temperature threshold Ts according to the temperature control requirements of different rolling stages of the initial pressure, the medium pressure and the final pressure of the asphalt pavement, and calculating the percentage of the number of temperature data points in the temperature matrix, which are lower than the threshold Ts;
the non-uniform coefficient calculation module is used for calculating the variance of all data points in the temperature matrix as a non-uniform coefficient;
the evaluation module is used for evaluating the pavement construction quality by adopting the uneven coefficient and the percentage.
The signal connection comprises wired connection and wireless connection; the wired connection comprises broadband connection and optical fiber connection; the wireless connection comprises WIFI connection and radio connection.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (3)
1. The method for evaluating the construction quality of the asphalt pavement is characterized by comprising the following specific steps of:
s1: acquiring an original infrared image of an asphalt pavement in a construction process;
s2: arbitrarily intercepting a partial image of the original infrared image and obtaining an RGB rectangular image through perspective transformation of the partial image;
s3: converting the RGB rectangular image into a rectangular gray image;
s4: reading the temperature and gray information on the rectangular gray image by using Matlab software, establishing a linear function relationship between gray and temperature, measuring the actual temperature of a check point on the original infrared image by using a thermometer, recording the position of the check point, and checking the linear function relationship between gray and temperature in the step S4 based on the actual temperature of the check point on the original infrared image;
s5: reading gray scale information of a rectangular gray scale image on the asphalt pavement by using Matlab software, and obtaining a temperature matrix based on the linear function relation between the gray scale and the temperature established in the step S4;
s6: setting a temperature threshold Ts according to temperature control requirements of different rolling stages of initial pressure, medium pressure and final pressure of the asphalt pavement, and calculating the percentage of temperature data points in a temperature matrix, which are lower than the threshold Ts, in the temperature matrix;
s7: calculating the variance of all data points in the temperature matrix as a non-uniformity coefficient;
s8: evaluating the pavement construction quality by adopting the uneven coefficient and the percentage;
the actual temperature of the check point on the original infrared image is used for checking the linear function relationship between the gray scale and the temperature in the step S4, and the check is carried out according to the following functions:
Tcal＝acalG+bcal
wherein: tcal is the fitting temperature after checking, G is the gray value of the pixel point, acalAnd bcalFitting parameters after checking;
the linear function relationship between the gray scale and the temperature in step S4 is established by the following function calculation:
T0＝a0G+b0
wherein: t is0Is the uncorrected fitting temperature, G is the gray value of the pixel point, a0And b0Fitting parameters before checking.
2. The system for evaluating the construction quality of the asphalt pavement is characterized by comprising quality evaluation equipment, a thermal imaging camera connected with the input end of the quality evaluation equipment and a central control system which is in signal connection with the quality evaluation equipment and is used for controlling the quality evaluation equipment to evaluate the construction quality of the asphalt pavement, wherein the quality evaluation equipment comprises an acquisition module, an interception module, a conversion module, a linear function relationship establishment module of gray scale and temperature, a temperature matrix calculation module, a percentage calculation module, an uneven coefficient calculation module and an evaluation module;
the acquisition module is used for acquiring an original infrared image of the asphalt pavement in the construction process;
the intercepting module is used for arbitrarily intercepting a partial image of the original infrared image and obtaining an RGB rectangular image through perspective transformation of the partial image;
the conversion module is used for converting the RGB rectangular image into a rectangular gray image;
the linear function relationship establishing module of the gray scale and the temperature is used for reading the temperature and the gray scale information of a check point on a rectangular gray scale image by using Matlab software, establishing the linear function relationship of the gray scale and the temperature, and adopting the following function to calculate and establish the linear function relationship of the gray scale and the temperature:
T0＝a0G+b0
measuring the actual temperature of a check point on the original infrared image by using a thermometer, recording the position of the check point, checking the linear function relationship between the gray scale and the temperature based on the actual temperature of the check point on the original infrared image, and checking the linear function relationship between the gray scale and the temperature according to the following functions:
Tcal＝acalG+bcal
wherein: t is0Is the uncorrected fitting temperature, G is the gray value of the pixel point, a0And b0Is the fitting parameter before the calibration, Tcal is the fitting temperature after the calibration, acalAnd bcalFitting parameters after checking;
the temperature matrix calculation module is used for reading gray information of a rectangular gray image on the asphalt pavement by using Matlab software and obtaining a temperature matrix based on the established linear function relationship between the gray and the temperature;
the percentage calculation module is used for setting a temperature threshold Ts according to temperature control requirements of different rolling stages of initial pressure, medium pressure and final pressure of the asphalt pavement, and calculating the percentage of temperature data points in the temperature matrix, which are lower than the threshold Ts, in the temperature matrix;
the non-uniform coefficient calculation module is used for calculating the variance of all data points in the temperature matrix as a non-uniform coefficient;
the evaluation module is used for evaluating the pavement construction quality by adopting the uneven coefficient and the percentage.
3. The system according to claim 2, wherein an output terminal of the obtaining module is in signal connection with an input terminal of the intercepting module, an output terminal of the intercepting module is in signal connection with an input terminal of the transforming module, an output terminal of the transforming module is in signal connection with an input terminal of the linear function relationship establishing module for the gray scale and the temperature, an output terminal of the linear function relationship establishing module for the gray scale and the temperature is in signal connection with an input terminal of the temperature matrix calculating module, an output terminal of the temperature matrix calculating module is in signal connection with an input terminal of the percentage calculating module and an input terminal of the uneven coefficient calculating module, respectively, an output terminal of the percentage calculating module and an output terminal of the uneven coefficient calculating module are in signal connection with an input terminal of the evaluating module, respectively, and the output end of the evaluation module is in signal connection with an external display device.
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| CN110738582B (en) * | 2019-10-11 | 2022-07-01 | 广州肖宁道路工程技术研究事务所有限公司 | Asphalt pavement compaction method and device based on unmanned aerial vehicle, and computer equipment |
| CN111289539A (en) * | 2020-03-04 | 2020-06-16 | 东南大学 | Asphalt pavement paving uniformity evaluation method based on infrared image |
| CN113409415B (en) * | 2021-06-22 | 2022-02-11 | 浙江天铂云科光电股份有限公司 | Infrared image correlation display method and system based on temperature matrix |
| CN113780835A (en) * | 2021-09-15 | 2021-12-10 | 云途信息科技(杭州)有限公司 | Road quality evaluation management method based on variable color grids |
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