CN109308698A - Asphalt pavement construction quality evaluation method - Google Patents
Asphalt pavement construction quality evaluation method Download PDFInfo
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- CN109308698A CN109308698A CN201811162511.8A CN201811162511A CN109308698A CN 109308698 A CN109308698 A CN 109308698A CN 201811162511 A CN201811162511 A CN 201811162511A CN 109308698 A CN109308698 A CN 109308698A
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- 239000010426 asphalt Substances 0.000 title claims abstract description 35
- 238000010276 construction Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000013441 quality evaluation Methods 0.000 title claims description 33
- 238000001931 thermography Methods 0.000 claims abstract description 15
- 230000009466 transformation Effects 0.000 claims abstract description 4
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 238000011156 evaluation Methods 0.000 claims description 12
- 238000012886 linear function Methods 0.000 abstract description 5
- 238000003331 infrared imaging Methods 0.000 abstract description 4
- 239000011159 matrix material Substances 0.000 abstract 3
- 238000005096 rolling process Methods 0.000 abstract 1
- 238000001514 detection method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 2
- 241001062009 Indigofera Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000009490 roller compaction Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Radiation Pyrometers (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The invention discloses a method for evaluating the construction quality of an asphalt pavement, which comprises the steps of obtaining 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 RPG rectangular image; converting the RPG 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 present invention relates to technical field of road engineering more particularly to a kind of Asphalt Pavement Construction Quality evaluation methods.
Background technique
During bituminous pavement paving, roller compaction construction, the demixing temperature of asphalt will lead to compactness of pavement unevenness
It is even, to reduce the construction quality on road surface, leads to the reduction of road surface Long-Term Properties, reduce pavement life.Traditional asphalt road
Face paving material detection mode can only measure single-point such as thermometer or hand-held infrared temperature-measuring gun, there are contingency and
Randomness.Although dedicated infrared thermoviewer can acquire the infrared image of work progress to control the temperature of asphalt from
Analysis, but its fancy price limits the popular style of the technology.
Summary of the invention
Technical problems based on background technology, the invention proposes a kind of Asphalt Pavement Construction Quality evaluation method,
Smart phone is used cooperatively with thermal imaging camera, greatly reduce infrared imaging used in traditional asphalt pavement detection at
This.
A kind of Asphalt Pavement Construction Quality evaluation method proposed by the present invention, the specific steps are as follows:
S1: the original infrared image of bituminous pavement in work progress is obtained；
S2: arbitrarily intercepting the parts of images of the original infrared image and obtains the parts of images by perspective transform
RPG rectangular image；
S3: rectangle gray level image is converted by RPG rectangular image；
S4: using Matlab software, reads temperature and grayscale information on rectangle gray level image, establishes gray scale and temperature
Linear functional relation；
S5: using Matlab software, reads the grayscale information of rectangle gray level image on bituminous pavement, is established based on step S4
Gray scale and temperature linear functional relation, obtain temperature matrices；
S6: temperature threshold is arranged according to the temperature control requirement that bituminous pavement first pressing, middle pressure roll the stage with final pressure difference
Ts is calculated and is lower than threshold value Ts temperature data points number percentage in temperature matrices；
S7: the variance of all data points in temperature matrices is calculated, as nonuniformity coefficient；
S8: construction quality of pavement is evaluated using nonuniformity coefficient and percentage.
Further, the actual temperature of the original infrared image colonel epipole is measured using thermometer and record check point
Position, the linear function of the gray scale and temperature in step S4 is checked based on the actual temperature of original infrared image colonel epipole
Relationship.
Further, the linear functional relation of the gray scale in the step S4 and temperature is used establishes as minor function calculates:
T0=a0G+b0
Wherein: T0For the fitting temperature that do not check, G is pixel gray value, a0And b0For the fitting parameter before check.
Further, the actual temperature of the original infrared image colonel epipole checks the gray scale and temperature in step S4
Linear functional relation, checked by with minor function:
Tcal=acalG+bcal
Wherein: TcalFor the fitting temperature after check, G is pixel gray value, acalAnd bcalJoin for the fitting after checking
Number.
Further, a kind of Asphalt Pavement Construction Quality evaluation system, including thermal imaging camera and quality evaluation equipment,
Thermal imaging camera is connect with quality evaluation equipment input terminal, and quality evaluation equipment includes obtaining module, interception module, conversion mould
The linear functional relation of block, gray scale and temperature establishes module, temperature matrices computing module, percentage computing module, heterogeneous system
Number computing module and evaluation module；
A kind of Asphalt Pavement Construction Quality evaluation system further includes being connect with the quality evaluation equipment signal for controlling
Make the central control system that the quality evaluation equipment evaluates Asphalt Pavement Construction Quality；
Obtain the original infrared image that module is used to obtain bituminous pavement in work progress；
The parts of images for any parts of images for intercepting the original infrared image and is passed through perspective by interception module
Transformation obtains RPG rectangular image；
Conversion module is used to convert rectangle gray level image for RPG rectangular image；
The linear functional relation of gray scale and temperature establishes module for using Matlab software, on reading rectangle gray level image
The temperature and grayscale information for checking point, establish the linear functional relation of gray scale and temperature；
Temperature matrices computing module is used to use Matlab software, reads the gray scale letter of rectangle gray level image on bituminous pavement
Breath obtains temperature matrices based on the linear functional relation of the step S4 gray scale established and temperature；
Percentage computing module is used to roll the temperature control in stage according to bituminous pavement first pressing, middle pressure and final pressure difference and want
Setting temperature threshold Ts is sought, calculates and is lower than threshold value Ts temperature data points number percentage in temperature matrices；
Nonuniformity coefficient computing module is used to calculate the variance of all data points in temperature matrices, as nonuniformity coefficient；
Evaluation module is used to evaluate construction quality of pavement using nonuniformity coefficient and percentage.
Further, the output end for obtaining module is connect with the input end signal of the interception module, the interception
The output end of module is connect with the input end signal of the conversion module, the output end of the conversion module and the gray scale and temperature
The input end signal that the linear functional relation of degree establishes module connects, and the linear functional relation of the gray scale and temperature establishes module
Output end connect with the input end signal of the temperature matrices computing module, the output end of the temperature matrices computing module point
It is not connect with the input end signal of the input terminal of the percentage computing module, the nonuniformity coefficient computing module, described hundred
Divide the input with the evaluation module respectively than the output end of the output end of computing module and the nonuniformity coefficient computing module
End signal connection, the output end of the evaluation module are connect with external display device signal
A kind of the advantages of Asphalt Pavement Construction Quality evaluation method provided by the invention, is: providing in structure of the invention
A kind of Asphalt Pavement Construction Quality evaluation method, smart phone are used cooperatively with thermal imaging camera, greatly reduce tradition
Bituminous pavement detection infrared imaging cost used, while improving the portability of bituminous pavement detection device therefor；Pass through letter
Number is checked, and the temperature analysis intensity of bituminous pavement is improved.
Detailed description of the invention
Fig. 1 is the original infrared image schematic diagram of bituminous pavement of the present invention；
Fig. 2 is rectangle gray level image of the present invention；
Fig. 3 is a kind of system module figure of Asphalt Pavement Construction Quality evaluation system；
Fig. 4 is work step flow chart of the invention.
Specific embodiment
A kind of Asphalt Pavement Construction Quality evaluation method disclosed by the invention, utilizes smart phone and thermal imaging camera pair
Asphalt pavement construction carries out performance rating, and smart phone is used cooperatively with thermal imaging camera, greatly reduces traditional asphalt
Infrared imaging cost used in pavement detection.
In the following, technical solution of the present invention is described in detail by specific embodiment.
A kind of Asphalt Pavement Construction Quality evaluation method proposed by the present invention, specific step is as follows, as shown in Figure 4:
S1: the original infrared image of bituminous pavement in work progress is obtained.
As shown in Fig. 1,4, the original infrared image of bituminous pavement in work progress is obtained using thermal imaging camera and is incited somebody to action
Original Infrared Image Information is transferred on smart phone, and the temperature-measuring range of thermal imaging camera is from -40 DEG C to 330 DEG C, sensor
Resolution ratio is 320 × 240 (7.68 ten thousand pixels)；
S2: it arbitrarily intercepts bituminous pavement information on the parts of images in the original infrared image and is obtained by perspective transform
To RPG rectangular image；
S3: rectangle gray level image is converted by RPG rectangular image；
Rectangle gray level image is converted for RPG rectangular image using photoshop software or the perspective transform of Matlab software,
As shown in Fig. 2, wherein RPG rectangular image refers to the histogram being made of three kinds of red (red), green (Huang), blue (indigo plant) colors
Picture；
S4: using Matlab software, reads temperature and grayscale information on rectangle gray level image, establishes gray scale and temperature
Linear functional relation；
By the linear functional relation for establishing gray scale and temperature with minor function:
T0=a0G+b0
Wherein: T0For the fitting temperature that do not check, G is pixel gray value, a0And b0For the fitting parameter before check；
S5: using Matlab software, reads the grayscale information of rectangle gray level image on bituminous pavement, is established based on step S4
Gray scale and temperature linear functional relation, obtain temperature matrices；
Wherein: tijFor the corresponding temperature of each pixel；
S6: temperature threshold is arranged according to the temperature control requirement that bituminous pavement first pressing, middle pressure roll the stage with final pressure difference
Ts is calculated and is lower than threshold value Ts temperature data points number percentage in temperature matrices；
S7: the variance of all data points in temperature matrices is calculated, as nonuniformity coefficient；
S8: construction quality of pavement is evaluated using nonuniformity coefficient and percentage.
Preferably, it measures the actual temperature of the original infrared image colonel epipole using thermometer and records and check point
Position, the linear function that the gray scale and temperature in step S4 are checked based on the actual temperature of original infrared image colonel epipole are closed
The actual temperature of system, the original infrared image colonel epipole is closed to check the linear function of gray scale and temperature in step S4
System, checks by with minor function:
Tcal=acalG+bcal
Wherein: TcalFor the fitting temperature after check, G is pixel gray value, acalAnd bcalJoin for the fitting after checking
Number.
Preferably, threshold value Ts is set according to " standard specification for construction and acceptance of highway asphalt pavement JTG F40 ", is counted as follows
It calculates and is lower than threshold temperature data point number percentage in temperature matrices:
Wherein: n is lower than threshold temperature data point number, and i is temperature matrices line number, and j is temperature matrices columns.
Thermal imaging camera can be shaped on smart phone, and thermal imaging camera can also be individually present, with
Smart phone is connected by signal, and bituminous pavement image information is transported in smart phone, carries out mobile long-range control.
As shown in figure 3, a kind of Asphalt Pavement Construction Quality evaluation system includes thermal imaging camera and quality evaluation equipment,
Thermal imaging camera is connect with quality evaluation equipment input terminal, and quality evaluation equipment includes obtaining module, interception module, conversion mould
The linear functional relation of block, gray scale and temperature establishes module, temperature matrices computing module, percentage computing module, heterogeneous system
Number computing module and evaluation module further include being connect with the quality evaluation equipment signal for controlling the quality evaluation
The central control system that equipment evaluates Asphalt Pavement Construction Quality.
Thermal imaging camera is connect with the input terminal for obtaining module, obtains the output end of module and the input terminal of interception module
The input end signal of signal connection, the output end of interception module and conversion module connects, the output end of conversion module and gray scale with
The input end signal that the linear functional relation of temperature establishes module connects, and the linear functional relation of gray scale and temperature establishes module
Output end is connect with the input end signal of temperature matrices computing module, the output end of temperature matrices computing module respectively with percentage
The input end signal connection of the input terminal of computing module, nonuniformity coefficient computing module, the output end of percentage computing module and
The output end of nonuniformity coefficient computing module is connect with the input end signal of evaluation module respectively, the output end of evaluation module and aobvious
The connection of showing device signal.
Obtain the original infrared image that module is used to obtain bituminous pavement in work progress；
The parts of images for any parts of images for intercepting the original infrared image and is passed through perspective by interception module
Transformation obtains RPG rectangular image；
Conversion module is used to convert rectangle gray level image for RPG rectangular image；
The linear functional relation of gray scale and temperature establishes module for using Matlab software, on reading rectangle gray level image
The temperature and grayscale information for checking point, establish the linear functional relation of gray scale and temperature；
Temperature matrices computing module is used to use Matlab software, reads the gray scale letter of rectangle gray level image on bituminous pavement
Breath, the linear functional relation of the gray scale and temperature established based on it, obtains temperature matrices；
Percentage computing module is used to roll the temperature control in stage according to bituminous pavement first pressing, middle pressure and final pressure difference and want
Setting temperature threshold Ts is sought, calculates and is lower than threshold value Ts temperature data points number percentage in temperature matrices；
Nonuniformity coefficient computing module is used to calculate the variance of all data points in temperature matrices, as nonuniformity coefficient；
Evaluation module is used to evaluate construction quality of pavement using nonuniformity coefficient and percentage.
Signal connection includes wired connection, is wirelessly connected；Wired connection includes broadband connection, optical fiber connection；It is wirelessly connected
Including WIFI connection, radio connection.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (7)
1. a kind of Asphalt Pavement Construction Quality evaluation method, which is characterized in that specific step is as follows:
S1: the original infrared image of bituminous pavement in work progress is obtained；
S2: arbitrarily intercepting the parts of images of the original infrared image and the parts of images is obtained RPG square by perspective transform
Shape image；
S3: rectangle gray level image is converted by RPG rectangular image；
S4: using Matlab software, reads temperature and grayscale information on rectangle gray level image, establishes the linear of gray scale and temperature
Functional relation；
S5: using Matlab software, reads the grayscale information of rectangle gray level image on bituminous pavement, the ash established based on step S4
The linear functional relation of degree and temperature, obtains temperature matrices；
S6: temperature threshold Ts, meter are arranged according to the temperature control requirement that bituminous pavement first pressing, middle pressure roll the stage with final pressure difference
It calculates and is lower than threshold value Ts temperature data points number percentage in temperature matrices；
S7: the variance of all data points in temperature matrices is calculated, as nonuniformity coefficient；
S8: construction quality of pavement is evaluated using nonuniformity coefficient and percentage.
2. Asphalt Pavement Construction Quality evaluation method according to claim 1, which is characterized in that measure institute using thermometer
It states the actual temperature of original infrared image colonel epipole and records the position for checking point, based on original infrared image colonel epipole
Actual temperature checks the linear functional relation of gray scale and temperature in step S4.
3. Asphalt Pavement Construction Quality evaluation method according to claim 1, which is characterized in that the ash in the step S4
Degree and the linear functional relation of temperature are used and are established as minor function calculates:
T0=a0G+b0
Wherein: T0For the fitting temperature that do not check, G is pixel gray value, a0And b0For the fitting parameter before check.
4. Asphalt Pavement Construction Quality evaluation method according to claim 2, which is characterized in that the original infrared image
The actual temperature of colonel's epipole checks the linear functional relation of gray scale and temperature in step S4, checks by with minor function:
Tcal=acalG+bcal
Wherein: Tcal is the fitting temperature after checking, and G is pixel gray value, acalAnd bcalFor the fitting parameter after check.
5. a kind of Asphalt Pavement Construction Quality evaluation system, which is characterized in that commented including quality evaluation equipment and with the quality
The thermal imaging camera quality evaluation equipment of valence equipment input terminal connection includes obtaining module, interception module, conversion module, gray scale
Module, temperature matrices computing module, percentage computing module, nonuniformity coefficient, which are established, with the linear functional relation of temperature calculates mould
Block and evaluation module.
6. Asphalt Pavement Construction Quality evaluation system according to claim 5, which is characterized in that further include and the quality
The connection of valuator device signal is controlled for controlling the center that the quality evaluation equipment evaluates Asphalt Pavement Construction Quality
System processed；
The original infrared image for obtaining module and being used to obtain bituminous pavement in work progress；
The parts of images for any parts of images for intercepting the original infrared image and is passed through perspective by the interception module
Transformation obtains RPG rectangular image；
The conversion module is used to convert rectangle gray level image for RPG rectangular image；
The linear functional relation of the gray scale and temperature establishes module for using Matlab software, on reading rectangle gray level image
The temperature and grayscale information for checking point, establish the linear functional relation of gray scale and temperature；
The temperature matrices computing module is used to use Matlab software, reads the gray scale letter of rectangle gray level image on bituminous pavement
Breath, the linear functional relation of gray scale and temperature based on foundation obtain temperature matrices；
The percentage computing module is used to roll the temperature control in stage according to bituminous pavement first pressing, middle pressure and final pressure difference and want
Setting temperature threshold Ts is sought, calculates and is lower than threshold value Ts temperature data points number percentage in temperature matrices；
The nonuniformity coefficient computing module is used to calculate the variance of all data points in temperature matrices, as nonuniformity coefficient；
The evaluation module is used to evaluate construction quality of pavement using nonuniformity coefficient and percentage.
7. Asphalt Pavement Construction Quality evaluation system according to claim 5, which is characterized in that described to obtain the defeated of module
Outlet is connect with the input end signal of the interception module, the input terminal of the output end of the interception module and the conversion module
The input terminal that the linear functional relation of signal connection, the output end of the conversion module and the gray scale and temperature establishes module is believed
Number connection, the linear functional relation of the gray scale and temperature establish the defeated of the output end of module and the temperature matrices computing module
Enter end signal connection, the output end of the temperature matrices computing module respectively with the input terminal of the percentage computing module, institute
State the input end signal connection of nonuniformity coefficient computing module, the output end and the heterogeneous system of the percentage computing module
Number computing modules output end connect respectively with the input end signal of the evaluation module, the output end of the evaluation module with outside
The connection of display device signal.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110738582A (en) * | 2019-10-11 | 2020-01-31 | 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 |
| CN113409415A (en) * | 2021-06-22 | 2021-09-17 | 浙江天铂云科光电股份有限公司 | Infrared image correlation display 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 |
| CN113960094A (en) * | 2021-10-19 | 2022-01-21 | 合肥工业大学 | Evaluation method for dispersion uniformity of conductive material in self-healing asphalt pavement |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5206686A (en) * | 1990-03-20 | 1993-04-27 | Minolta Camera Kabushiki Kaisha | Apparatus for forming an image with use of electrophotographic process including gradation correction |
| US20090192053A1 (en) * | 2004-05-13 | 2009-07-30 | Baker Hughes Incorporated | Methods and Compositions for Delayed Release of Chemicals and Particles |
| CN101866424A (en) * | 2010-05-20 | 2010-10-20 | 复旦大学 | Hyperspectral remote sensing image mixed pixel decomposition method based on independent component analysis |
| CN102270355A (en) * | 2011-04-28 | 2011-12-07 | 华中科技大学 | Infrared scene image generation method based on scenery classification |
| CN105303558A (en) * | 2015-09-21 | 2016-02-03 | 重庆交通大学 | Real-time detection method for detecting mixture paving uniformity on bituminous pavement |
| CN106290464A (en) * | 2016-08-10 | 2017-01-04 | 同济大学 | The isolation evaluation methodology of a kind of asphalt temperature based on infrared imaging |
| CN108532399A (en) * | 2018-04-27 | 2018-09-14 | 中铁四局集团有限公司 | High-speed loop curved surface asphalt and plane asphalt lap joint construction method |
-
2018
- 2018-09-30 CN CN201811162511.8A patent/CN109308698B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5206686A (en) * | 1990-03-20 | 1993-04-27 | Minolta Camera Kabushiki Kaisha | Apparatus for forming an image with use of electrophotographic process including gradation correction |
| US20090192053A1 (en) * | 2004-05-13 | 2009-07-30 | Baker Hughes Incorporated | Methods and Compositions for Delayed Release of Chemicals and Particles |
| CN101866424A (en) * | 2010-05-20 | 2010-10-20 | 复旦大学 | Hyperspectral remote sensing image mixed pixel decomposition method based on independent component analysis |
| CN102270355A (en) * | 2011-04-28 | 2011-12-07 | 华中科技大学 | Infrared scene image generation method based on scenery classification |
| CN105303558A (en) * | 2015-09-21 | 2016-02-03 | 重庆交通大学 | Real-time detection method for detecting mixture paving uniformity on bituminous pavement |
| CN106290464A (en) * | 2016-08-10 | 2017-01-04 | 同济大学 | The isolation evaluation methodology of a kind of asphalt temperature based on infrared imaging |
| CN108532399A (en) * | 2018-04-27 | 2018-09-14 | 中铁四局集团有限公司 | High-speed loop curved surface asphalt and plane asphalt lap joint construction method |
Non-Patent Citations (4)
| Title |
|---|
| EMAD KASSEM等: "Development of compaction monitoring system for asphalt pavements", 《CONSTRUCTION AND BUILDING MATERIALS》 * |
| 刘浅居: "基于"首件工程"的沥青路面施工质量控制研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
| 王时根: "浅谈亚热带山区长大纵坡沥青路面抗车辙性能", 《安徽建筑》 * |
| 裴欢等: "南京市夏季热岛特征及其与土地利用覆盖关系研究", 《干旱气象》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110738582A (en) * | 2019-10-11 | 2020-01-31 | 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 |
| 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 |
| CN113409415A (en) * | 2021-06-22 | 2021-09-17 | 浙江天铂云科光电股份有限公司 | Infrared image correlation display and system based on temperature matrix |
| 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 |
| CN113960094A (en) * | 2021-10-19 | 2022-01-21 | 合肥工业大学 | Evaluation method for dispersion uniformity of conductive material in self-healing asphalt pavement |
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