CN111693536A - Underground comprehensive pipe gallery construction waterproof detection method based on infrared thermal imaging - Google Patents

Underground comprehensive pipe gallery construction waterproof detection method based on infrared thermal imaging Download PDF

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Publication number
CN111693536A
CN111693536A CN202010584498.6A CN202010584498A CN111693536A CN 111693536 A CN111693536 A CN 111693536A CN 202010584498 A CN202010584498 A CN 202010584498A CN 111693536 A CN111693536 A CN 111693536A
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infrared thermal
pipe gallery
construction
section
comprehensive pipe
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张丰华
史代涛
王文斌
赫超红
王新文
王文超
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Henan Gaojian Engineering Management Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00Investigating or analyzing materials by the use of thermal means
    • G01N25/72Investigating presence of flaws

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  • Life Sciences & Earth Sciences (AREA)
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Abstract

The invention discloses an infrared thermal imaging-based underground comprehensive pipe gallery construction waterproof detection method, which comprises the steps of firstly carrying out infrared thermal image acquisition on a detection section surface and a comparison section surface of a pipe gallery, then processing the temperature by using a computer, identifying and comparing temperature fields of the detection section surface and the comparison section surface, identifying positions and areas with untight adhesion, hollowing, gaps and the like according to a construction waterproof quality analysis model, finally establishing a general coordinate system, and summarizing and displaying the positions and the areas with quality problems of construction waterproof to finish detection. The invention can effectively solve the technical problem of large influence of quality detection human factors in the existing inspection of the construction quality of the waterproof layer of the pipe gallery, and realizes the rapid acquisition, digitization and automatic detection of the construction quality of the waterproof layer of the pipe gallery.

Description

Underground comprehensive pipe gallery construction waterproof detection method based on infrared thermal imaging
Technical Field
The invention relates to the technical field of waterproof detection of municipal infrastructure underground comprehensive pipe galleries, in particular to an infrared thermal imaging-based underground comprehensive pipe gallery construction waterproof detection method.
Background
With the development of society, especially the progress of science and technology, the rapid development of social productivity is greatly promoted. In the process of social development, the construction industry is more prominent, overground buildings are pulled out like spring shoots after rain, and tall shoots are like clouds; the underground pipe network is used for mountain-crossing and mountain-crossing, river-crossing and sea-crossing, and lays a solid development foundation for the development of the society.
The underground comprehensive pipe gallery is a tunnel corridor type structure which is built below urban roads and is built in a single cabin or multiple cabins, and two or more municipal pipelines and accessory facilities are accommodated in the tunnel corridor type structure. Underground utility tunnel has saved the valuable space resource of underground, provides certain elasticity for the development in city, has also created good condition for city municipal pipeline information-based construction simultaneously. With the rapid development of urban construction in China, the underground comprehensive pipe gallery as a large section form of an urban underground pipe network becomes an integral part in urban development.
In recent years, a large number of underground comprehensive pipe galleries are newly built in cities in China, and due to the influence of factors such as construction quality and temperature stress, the waterproof layers of the underground comprehensive pipe galleries are not tightly adhered, are hollowly expanded and have gaps, so that the underground comprehensive pipe galleries leak water and the waterproof layers are invalid. In case the utility tunnel waterproof layer became invalid, not only endangered utility tunnel structure and surrounding environment, the serious operation of establishing in having influenced driving and the hole, consequently, need take effectual measure to detect and aassessment utility tunnel water-proof effects.
In order to ensure the safety and reliability of the waterproof layer, the construction quality of the waterproof layer needs to be comprehensively evaluated and detected; in the prior art, people mainly rely on simple manual inspection to detect underground utility tunnel waterproof layer construction quality, and the basis of judging also only comes from the numerical value of the observation of naked eye and traditional measuring tool. The above conventional method has the following disadvantages: the operation efficiency is low, the working strength is high, the influence of human factors on the detection quality is large, and the cost is high.
Therefore, the automatic detection method is provided, and the rapid acquisition, digitization and automatic detection of the construction quality of the waterproof layer of the underground comprehensive pipe gallery are realized.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides the infrared thermal imaging-based underground comprehensive pipe gallery construction waterproof detection method which can realize quick acquisition and digital and automatic detection of the construction quality of the underground comprehensive pipe gallery waterproof layer.
The purpose of the invention is realized as follows:
an underground comprehensive pipe gallery construction waterproof detection method based on infrared thermal imaging comprises the following steps:
selecting parts which are likely to be not tightly adhered, hollowly and have gaps in the construction of the underground comprehensive pipe gallery as detection sections, and selecting a good waterproof section for the construction of the underground comprehensive pipe gallery as a comparison section;
acquiring images of the detected section and the comparison section by adopting an infrared thermal imager, and acquiring an image shooting distance by using a laser range finder;
step three, transmitting the infrared thermal image acquired in the step two to a computer through a wireless communication module of an infrared thermal imager;
processing the acquired infrared thermal image by using a computer, and identifying a temperature field;
step five, comparing and measuring the temperature field of the detected section and the temperature field of the compared section;
sixthly, identifying positions and areas including untight pasting, hollowing and insufficient gaps according to the construction waterproof quality analysis model;
and step seven, establishing a general coordinate system, and summarizing and displaying the positions and the area sizes of the untight adhesion, the hollowing and the gaps of the construction waterproofing to finish the detection.
The second step comprises the following specific operation steps:
(1) photographing the detection section and the comparison section by using an infrared thermal imager, and acquiring an infrared thermal image of the underground comprehensive pipe gallery;
(2) the method comprises the following steps of adopting a laser range finder to be installed next to an infrared thermal imager, keeping the same horizontal line and the same acquisition angle with the infrared thermal imager, and obtaining the shooting distance of the infrared thermal imager for calculating the position of a gap and the size of an area;
the specific operation steps of the fourth step are as follows:
(1) respectively acquiring temperature values of all pixel points of the acquired infrared thermal image;
(2) and processing the temperature value by MATLAB to generate an infrared thermal image temperature field map.
And the concrete operation step of the fifth step is to extract and compare the maximum temperature difference and the maximum temperature gradient of the temperature fields of the comparison section and the detection section.
The specific operation steps of the sixth step are as follows:
(1) setting the maximum temperature difference and the maximum temperature gradient of the contrast section as the minimum limit values;
(2) according to the set limit value, the maximum temperature difference and the maximum temperature gradient of the detection section are compared, and the positions and the areas of untight adhesion, empty drum, gaps and the like are identified and extracted.
And the concrete operation step of the seventh step is that the positions and the area sizes of the identified construction waterproof structures, such as untight adhesion, hollowing and gaps, are all summarized and displayed in the overall coordinates of the whole underground comprehensive pipe gallery.
Has the positive and beneficial effects that: the method comprises the steps of firstly carrying out infrared thermal image acquisition on a detection section and a comparison section of a pipe gallery, then processing the temperature by using a computer, identifying and comparing temperature fields of the detection section and the comparison section, identifying positions and areas with untight adhesion, hollowness, gaps and the like according to a construction waterproof quality analysis model, finally establishing a general coordinate system, and summarizing and displaying the positions and the areas with quality problems of construction waterproof to finish detection. The invention can effectively solve the technical problem of large influence of quality detection human factors in the existing inspection of the construction quality of the waterproof layer of the pipe gallery, and realizes the rapid acquisition, digitization and automatic detection of the construction quality of the waterproof layer of the pipe gallery.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a schematic diagram of data acquisition and transmission according to the present invention;
FIG. 3 is a schematic diagram of data analysis according to the present invention;
FIG. 4 (a) is a cross section for detection in accordance with an embodiment of the present invention, and FIG. 4 (b) is a cross section for comparison in accordance with an embodiment of the present invention;
FIG. 5 (a) is a cloud of a measured cross-sectional temperature field according to an embodiment of the present invention, and FIG. 5 (b) is a cloud of a comparative cross-sectional temperature field according to an embodiment of the present invention;
FIG. 6 (a) is a profile of a detected cross-sectional temperature for an embodiment of the present invention, and FIG. 6 (b) is a profile of a comparative cross-sectional temperature for an embodiment of the present invention;
fig. 7 shows the positions and areas with loose adhesion, empty drum and insufficient gaps in the embodiment of the invention.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
As shown in fig. 1, selecting parts which are not tightly adhered, hollowly and have gaps in the construction of the underground comprehensive pipe gallery as a detection section, and selecting a good waterproof section for the construction of the underground comprehensive pipe gallery as a comparison section;
acquiring images of the detected section and the comparison section by adopting an infrared thermal imager, and acquiring an image shooting distance by using a laser range finder;
step three, transmitting the infrared thermal image acquired in the step two to a computer through a wireless communication module of an infrared thermal imager;
processing the acquired infrared thermal image by using a computer, and identifying a temperature field;
step five, comparing and measuring the temperature field of the detected section and the temperature field of the compared section;
sixthly, identifying positions and areas including untight pasting, hollowing and insufficient gaps according to the construction waterproof quality analysis model;
and step seven, establishing a general coordinate system, and summarizing and displaying the positions and the area sizes of the untight adhesion, the hollowing and the gaps of the construction waterproofing to finish the detection.
The second step comprises the following specific operation steps:
(1) the method comprises the following steps that (1) detection personnel take pictures of a detection section and a comparison section by an infrared thermal imager and collect infrared thermal images of the underground comprehensive pipe gallery;
(2) and when the infrared thermal image is collected, the laser range finder is arranged close to the infrared thermal imager, the laser range finder and the infrared thermal imager are kept at the same horizontal line and the same collection angle, and the shooting distance of the infrared thermal imager is obtained and is used for calculating the position of a gap and the size of an area.
The specific operation steps of the fourth step are as follows:
(1) respectively acquiring temperature values (DEG C) of all pixel points of the acquired infrared thermal images of the detection section and the comparison section;
(2) and processing the acquired temperature value by MATLAB to generate an infrared thermal image temperature field map, which comprises a temperature field cloud map and a temperature contour map.
The concrete operation steps of the step five are as follows: extracting the maximum temperature difference (DEG C) between the temperature field cloud pictures of the contrast section and the detection section, and extracting the maximum temperature gradient (DEG C/m) between the temperature contour pictures of the contrast section and the detection section.
The specific operation steps of the sixth step are as follows:
(1) setting the maximum value of the maximum temperature difference and the maximum temperature gradient of the plurality of comparison sections as the minimum limit value, and taking the minimum limit value as a basic standard;
(2) according to a set basic standard, comparing the maximum temperature gradient of the detection section with the basic standard temperature gradient, and when the maximum temperature gradient does not exceed the basic standard temperature gradient, the construction quality of the waterproof layer is good; and when the temperature difference exceeds the basic standard temperature gradient, comparing the maximum temperature difference of the detection section and the comparison section with the same area with the basic standard temperature difference, when the temperature difference does not exceed the basic standard temperature difference, the construction quality of the waterproof layer is good, when the temperature difference exceeds the basic standard temperature difference, the waterproof layer is identified to have quality problems, and positions and areas with untight adhesion, hollowness, gaps and the like are further extracted.
And the concrete operation step of the seventh step is that the positions and the area sizes of the identified and extracted construction waterproofing are all summarized and displayed in the overall coordinates of the whole underground comprehensive pipe gallery, wherein the construction waterproofing exists and is not tightly adhered, and hollows and gaps are formed.
Examples
The implementation provides an example of the underground comprehensive pipe gallery construction waterproof detection method based on infrared thermal imaging, and the general engineering profile is as follows: the underground traffic system and the underground space in the south of a certain citizen public culture service area are positioned between a certain Shang Hai road and a Zhongyuan Wen road and between a Xiong road and a Xitetracyclic road, the projects comprise underground walking spaces among a creation and safety road, a media north road and a Cedar road, an underground traffic ring corridor and an underground comprehensive pipe gallery project, the projects comprise an underground walking commercial space, an underground traffic loop and a comprehensive pipe gallery project from top to bottom, the three projects are jointly built, the underground traffic ring corridor is positioned below the underground walking commercial space, and the comprehensive pipe gallery is positioned below the underground traffic loop. The total length of the project is 1031m, wherein the underground garage communication road is the creative safety road, the total length is 397m, and the structure burial depth is 13.8 m; the total length of the underground space engineering of the north media road is 400m, the structure burial depth is about 18m, the structure width is 60m at the widest, and the structure height is 17.4 m; the cedar road underground traffic corridor is independently constructed, the total length is 234m, and the buried depth is about 12 m. Utility tunnel adopts reinforced concrete shear wall structure, I level of waterproof grade, and the waterproof adoption of structure is fully glued by 3mm modified asphalt waterproofing membrane. The waterproof detection of utility tunnel construction includes following steps: firstly, selecting a section which is located in an underground traffic section in an urban comprehensive pipe gallery and comprises a section with good construction and a section with untight construction adhesion for comparison and detection, wherein the detected section and the opposite side of the comparison are respectively shown in a figure 4 (a) and a figure 4 (b); secondly, the detection personnel take pictures of the detection section and the comparison section by using an infrared thermal imager, acquire the infrared thermal image of the underground comprehensive pipe gallery, adopt a laser range finder to be installed next to the infrared thermal imager while acquiring the infrared thermal image, keep the same horizontal line and the same acquisition angle with the infrared thermal imager, acquire the shooting distance of the infrared thermal imager, and calculate the position of a gap and the size of an area, wherein the size of the detection section is 48cm (height) multiplied by 41.6cm (width); thirdly, marking and recording the collected infrared thermal images of the detection section and the comparison section, recording the distance between the infrared thermal images and the detection section, and then transmitting the infrared thermal images and the distance data to a computer through a wireless communication module; step four, acquiring temperature values (DEG C) of all pixel points of the acquired infrared thermal images of the detection section and the comparison section respectively, processing the acquired temperature values by using MATLAB to generate an infrared thermal image temperature field diagram which comprises a temperature field cloud diagram and a temperature contour diagram, wherein the temperature field cloud diagram of the detection section and the temperature contour diagram of the comparison section are respectively shown in fig. 5 (a) and fig. 5 (b), and the temperature contour diagram of the detection section and the temperature contour diagram of the comparison section are respectively shown in fig. 6 (a) and fig. 6 (b); step five, carrying out comparison measurement on the temperature field of the detection section and the temperature field of the comparison section, wherein the maximum temperature difference (DEG C) in the cloud pictures of the temperature fields of the extraction detection section and the comparison section is respectively 13.7 ℃ and 1.0 ℃, and the maximum temperature gradient (DEG C/m) in the temperature contour map of the extraction detection section and the comparison section is respectively 25.2 ℃/m and 620.5 ℃/m; setting the maximum temperature difference of the comparison section to be 1.0 ℃ and the maximum value of the maximum temperature gradient to be 25.2 ℃/m as the minimum limit value, taking the minimum limit value as a basic standard, comparing the maximum temperature gradient of the detection section with the basic standard temperature gradient, and when the maximum temperature gradient does not exceed the basic standard temperature gradient, ensuring that the construction quality of the waterproof layer is good; when the temperature difference exceeds the basic standard temperature gradient, the maximum temperature difference of the detection section and the comparison section with the same area is compared with the basic standard temperature difference, when the temperature difference does not exceed the basic standard temperature difference, the construction quality of the waterproof layer is good, when the temperature difference exceeds the basic standard temperature difference, the waterproof layer is identified to have quality problems, and the positions and the areas with untight adhesion, hollowness, gaps and the like are further extracted, as shown in fig. 7.
The method comprises the steps of firstly carrying out infrared thermal image acquisition on a detection section and a comparison section of a pipe gallery, then processing the temperature by using a computer, identifying and comparing temperature fields of the detection section and the comparison section, identifying positions and areas with untight adhesion, hollowness, gaps and the like according to a construction waterproof quality analysis model, finally establishing a general coordinate system, and summarizing and displaying the positions and the areas with quality problems of construction waterproof to finish detection. The invention can effectively solve the technical problem of large influence of quality detection human factors in the existing inspection of the construction quality of the waterproof layer of the pipe gallery, and realizes the rapid acquisition, digitization and automatic detection of the construction quality of the waterproof layer of the pipe gallery.

Claims (6)

1. An underground comprehensive pipe gallery construction waterproof detection method based on infrared thermal imaging comprises the following steps:
selecting parts which are likely to be not tightly adhered, hollowly and have gaps in the construction of the underground comprehensive pipe gallery as detection sections, and selecting a good waterproof section for the construction of the underground comprehensive pipe gallery as a comparison section;
acquiring images of the detected section and the comparison section by adopting an infrared thermal imager, and acquiring an image shooting distance by using a laser range finder;
step three, transmitting the infrared thermal image acquired in the step two to a computer through a wireless communication module of an infrared thermal imager;
processing the acquired infrared thermal image by using a computer, and identifying a temperature field;
step five, comparing and measuring the temperature field of the detected section and the temperature field of the compared section;
sixthly, identifying positions and areas including untight pasting, hollowing and insufficient gaps according to the construction waterproof quality analysis model;
and step seven, establishing a general coordinate system, and summarizing and displaying the positions and the area sizes of the untight adhesion, the hollowing and the gaps of the construction waterproofing to finish the detection.
2. The underground comprehensive pipe gallery construction waterproof detection method based on the infrared thermal imaging is characterized in that the specific operation steps of the second step are as follows:
(1) photographing the detection section and the comparison section by using an infrared thermal imager, and acquiring an infrared thermal image of the underground comprehensive pipe gallery;
(2) the laser range finder is arranged close to the infrared thermal imager, keeps the same horizontal line and the same acquisition angle with the infrared thermal imager, and obtains the shooting distance of the infrared thermal imager for calculating the position of a gap and the size of an area.
3. The underground comprehensive pipe gallery construction waterproof detection method based on the infrared thermal imaging is characterized in that the concrete operation steps of the fourth step are as follows:
(1) respectively acquiring temperature values of all pixel points of the acquired infrared thermal image;
(2) and processing the temperature value by MATLAB to generate an infrared thermal image temperature field map.
4. The infrared thermal imaging-based underground comprehensive pipe gallery construction waterproof detection method as claimed in claim 1, wherein the concrete operation steps of the fifth step are to extract and compare the maximum temperature difference and the maximum temperature gradient of the temperature field of the comparison section and the detection section.
5. The underground comprehensive pipe gallery construction waterproof detection method based on the infrared thermal imaging is characterized in that the concrete operation steps of the sixth step are as follows:
(1) setting the maximum temperature difference and the maximum temperature gradient of the contrast section as the minimum limit values;
(2) according to the set limit value, the maximum temperature difference and the maximum temperature gradient of the detection section are compared, and the positions and the areas of untight adhesion, empty drum, gaps and the like are identified and extracted.
6. The underground comprehensive pipe gallery construction waterproofing detection method based on infrared thermal imaging as claimed in claim 1, wherein the specific operation step of the seventh step is to display the identified construction waterproofing existence with loose adhesion, hollowing, gap positions and area sizes into the overall coordinates of the whole underground comprehensive pipe gallery in a gathering manner.
CN202010584498.6A 2020-06-24 2020-06-24 Underground comprehensive pipe gallery construction waterproof detection method based on infrared thermal imaging Pending CN111693536A (en)

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Application publication date: 20200922