A quality inspection method for bonding effect of thermal insulation board

Abstract

The present invention belongs to the field of data analysis technology, and specifically relates to a method for quality inspection of the bonding effect of thermal insulation boards, the method comprising: obtaining a window area and a thermal insulation area according to the basic attributes of each unit area of ​​the building's exterior wall, obtaining the supplementary attributes of the thermal insulation area according to the positional relationship between the two and the basic attributes of the window area, weighting the difference in attributes according to the sensitivity of temperature to the basic attributes and the supplementary attributes to obtain the attribute distance, calculating the spatial distance according to the positional relationship between the two thermal insulation areas, clustering all thermal insulation areas according to the attribute distance and the spatial distance through a linear iterative clustering algorithm, obtaining the temperature data of each thermal insulation area in the category through an infrared thermal imaging device, performing abnormal detection on the temperature data of all thermal insulation areas, and when abnormal data exists, the thermal insulation area corresponding to the abnormal data fails the quality inspection of the bonding effect. The present invention improves the accuracy and reliability of the quality inspection of the bonding effect of thermal insulation boards.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and more specifically, to a quality inspection method for the bonding effect of a thermal insulation board. Background Art

[0002] Insulation panels on building exterior walls play multiple important roles in modern buildings. They can reduce heat exchange between inside and outside buildings and indoor temperature fluctuations, enhance the fire safety of buildings and reduce the interference of external noise on the indoor environment. They not only improve the functionality and comfort of buildings, but also have a positive impact on environmental protection. Therefore, it is very important to conduct quality inspection on the bonding effect of insulation panels.

[0003] In the related technology, for example, a Chinese patent document with authorization announcement number CN118152988B discloses a method, medium and system for detecting the bonding effect of exterior wall insulation boards, including: dividing the exterior wall insulation boards into multiple grids; obtaining temperature change infrared video and temperature recovery infrared video; extracting features to obtain temperature change features and temperature recovery features; in a pre-trained exterior wall insulation board insulation effect judgment model, transmitting the temperature change features and temperature recovery features of each grid to obtain the insulation effect judgment result of each grid, and recording the grid with an unqualified judgment result as a poor grid; obtaining a sound signal generated by knocking the insulation board with a fixed force and frequency for each poor grid; extracting features from the sound signal to obtain audio features, and fusing the audio features with the temperature change features and temperature recovery features using an attention mechanism to obtain fused features; inputting into the pre-trained exterior wall insulation board bonding effect judgment model to obtain the bonding effect judgment result of each poor grid.

[0004] The related technology collects the temperature of the surface of the insulation board through infrared thermal imaging, and then judges the bonding effect of the insulation board by the temperature. However, this method is affected by environmental factors and has poor detection accuracy. Summary of the invention

[0005] In order to solve the technical problem that when the temperature of the surface of the insulation board is collected by infrared thermal imaging and the bonding effect of the insulation board is judged by the temperature, the detection accuracy is poor due to the influence of environmental factors, the present invention provides a method for quality inspection of the bonding effect of the insulation board, comprising: obtaining a building elevation diagram of the exterior wall of the building, the building elevation diagram is Drawings, including basic attributes of each unit area of ​​the building's exterior wall, the basic attributes including exterior wall attributes, vertical height, orientation, and interior space attributes; dividing the unit area into a window area and an insulation area according to the exterior wall attributes; obtaining supplementary attributes of the insulation area according to the positional relationship between the insulation area and the window area and the basic attributes of the window area; weighting the differences between the two insulation areas in each basic attribute and the supplementary attribute according to the sensitivity of temperature to the basic attribute and the supplementary attribute, to obtain the attribute distance between the two insulation areas; calculating the spatial distance between the two insulation areas according to the positional relationship between the two insulation areas , , are the horizontal coordinates of the two insulation areas, are the vertical coordinates of the two insulation areas; according to the attribute distance and spatial distance between every two insulation areas, all insulation areas are clustered by a linear iterative clustering algorithm to obtain multiple categories; for any category, the temperature data of each insulation area in the category is obtained by an infrared thermal imaging device; the temperature data of all insulation areas are detected for anomalies, and when abnormal data exists, the bonding effect quality inspection of the insulation area corresponding to the abnormal data fails.

[0006] In the present invention, the basic attribute per unit area is an important attribute that determines the thermal characteristics of the unit area. By analyzing the positional relationship between the insulation area and the window area and the basic attributes of the window area, the supplementary attributes of the insulation area are obtained, and the supplementary attributes of the insulation area reflect the heat flow transfer mode of the insulation area; by quantifying the relationship between the temperature change and the various attributes of the insulation area, the sensitivity of the temperature to the various attributes is obtained, and the attribute differences between the two insulation areas are weighted by the sensitivity to obtain the attribute distance of the two insulation areas, which reflects the similarity of the two insulation areas in thermal characteristics and heat flow transfer mode, and provides more comprehensive data support for the subsequent classification of all insulation areas; by calculating the spatial distance between the two insulation areas, it is helpful to understand the relative position of the insulation area in the building space, and provide more comprehensive data support for the subsequent classification of all insulation areas; the present invention clusters all insulation areas by combining the attribute distance and spatial distance of the two insulation areas, which helps to classify areas with close positions and possible same or similar thermal characteristics into one category, and by performing abnormal detection on the temperature data of all insulation areas belonging to the same category, the influence of the environment on the temperature of each insulation area is eliminated, thereby improving the quality inspection accuracy and reliability of the bonding effect of the insulation board.

[0007] Preferably, the size of the unit area is equal to 1 square meter; the exterior wall attribute of the unit area refers to whether the unit area belongs to a window or an insulation board, and the interior space attribute refers to whether the interior space corresponding to the unit area is a living area or a corridor; dividing the unit area into a window area and an insulation area according to the exterior wall attributes includes: dividing the unit area belonging to the window into a window area, and dividing the unit area belonging to the insulation board into an insulation area.

[0008] Preferably, the vertical height, orientation and internal space attributes are recorded as Basic attributes, The basic attributes and The first basic attribute of each target window area is calculated according to the spatial distance between each target window area and the insulation area. The basic attributes and The basic attributes are weighted to obtain the first The supplementary attributes and A supplementary attribute.

[0009] The present invention obtains the supplementary attributes of the insulation area by analyzing the positional relationship between the insulation area and the window area and the basic attributes of the window area. The supplementary attributes of the insulation area reflect the heat flow transfer pattern of the insulation area, providing more comprehensive data support for the subsequent classification of all insulation areas.

[0010] Preferably, each target window area of ​​the heat preservation area refers to a window area located within a preset range of the heat preservation area; the preset range of the heat preservation area is centered on the heat preservation area and has a size of area, The preset length.

[0011] Preferably, the first The supplementary attributes and The supplementary properties satisfy the expression: ; ; In the formula, They are the first The supplementary attributes and Supplementary attributes, They are the first The target window area The basic attributes and Basic attributes, The insulation area The spatial distance between the target window area and the insulation area, is the preset length, The number of all target window areas for this insulation area.

[0012] Preferably, the spatial distance between each target window area of ​​the thermal insulation area and the thermal insulation area satisfies the expression: ; In the formula, The insulation area The spatial distance between the target window area and the insulation area, They are the first The horizontal and vertical coordinates of the target window area, are the horizontal and vertical coordinates of the insulation area, To take the absolute value, To get the maximum value.

[0013] Preferably, any one of the basic attributes and the supplementary attributes is used as the target attribute to obtain the sensitivity of temperature to the target attribute, including: taking a plurality of insulation boards of a size equal to 1 square meter and of the same material and model as the insulation boards of the building exterior walls as samples; testing all samples under different test conditions, and collecting temperature data of each sample under different test conditions through a temperature sensor installed on each sample; only the target attribute is different in different test conditions; taking the mean of the temperature data of all samples under the same test condition as the representative temperature under the test condition; taking the target attribute and the representative temperature as the independent variable and the dependent variable, respectively, and using SPSS software to perform regression analysis on the representative temperature and the target attribute under all test conditions; taking the coefficient of certainty R2 in the output result of the SPSS software as the sensitivity of temperature to the target attribute.

[0014] The present invention quantifies the relationship between temperature change and various attributes of the insulation area by performing regression analysis on representative temperatures and target attributes under different test conditions, thereby obtaining the sensitivity of temperature to various attributes. Subsequently, the sensitivity of temperature to various attributes is used as a weight, so that the calculation of attribute distance can more accurately reflect the similarity of the attributes of the two insulation areas.

[0015] Preferably, the attribute distance between the two insulation areas satisfies the expression: ; In the formula, For the The insulation area and The attribute distance of the insulation area, For temperature The sensitivity of the basic attributes, , For the The insulation area and The insulation area is in Differences in basic attributes; For temperature The sensitivity of the supplementary attributes, , For the The insulation area and The insulation area is in The difference in supplementary attributes.

[0016] The present invention weights the differences in attributes between two insulation areas by sensitivity to obtain the attribute distance between the two insulation areas, reflecting the similarities between the two insulation areas in thermal characteristics and heat flow transfer modes, and providing more comprehensive data support for the subsequent classification of all insulation areas.

[0017] Preferably, the method for obtaining the difference between the basic attribute and the difference between the supplementary attribute is: hour, ;when hour, ;when hour, ; Respectively The insulation area and The first insulation area Basic attributes, is the height of the building's external wall;

[0018] when hour, ;when hour, ; Respectively The insulation area and The first insulation area A supplementary attribute.

[0019] Preferably, the method of clustering all the insulation areas according to the attribute distance and spatial distance between each two insulation areas by a linear iterative clustering algorithm to obtain multiple categories includes: calculating the first The insulation area and The distance measure of the insulation area , , For the The insulation area and The attribute distance of the insulation area, For the The insulation area and According to the distance metric, all the insulation areas are clustered by a linear iterative clustering algorithm to obtain multiple categories.

[0020] The present invention clusters all insulation areas based on the attribute distance and spatial distance of two insulation areas, which helps to classify areas that are close in location and may have the same or similar thermal properties into one category. By performing anomaly detection on the temperature data of all insulation areas belonging to the same category, the influence of the environment on the temperature of each insulation area is eliminated, thereby improving the accuracy and reliability of quality inspection of the bonding effect of the insulation board.

[0021] The beneficial effects of the present invention are:

[0022] In the present invention, the basic attribute per unit area is an important attribute that determines the thermal characteristics of the unit area. By analyzing the positional relationship between the insulation area and the window area and the basic attributes of the window area, the supplementary attributes of the insulation area are obtained, and the supplementary attributes of the insulation area reflect the heat flow transfer mode of the insulation area; by quantifying the relationship between the temperature change and the various attributes of the insulation area, the sensitivity of the temperature to the various attributes is obtained, and the attribute differences between the two insulation areas are weighted by the sensitivity to obtain the attribute distance of the two insulation areas, which reflects the similarity of the two insulation areas in thermal characteristics and heat flow transfer mode, and provides more comprehensive data support for the subsequent classification of all insulation areas; by calculating the spatial distance between the two insulation areas, it is helpful to understand the relative position of the insulation area in the building space, and provide more comprehensive data support for the subsequent classification of all insulation areas; the present invention clusters all insulation areas by combining the attribute distance and spatial distance of the two insulation areas, which helps to classify areas with close positions and possible same or similar thermal characteristics into one category, and by performing abnormal detection on the temperature data of all insulation areas belonging to the same category, the influence of the environment on the temperature of each insulation area is eliminated, thereby improving the quality inspection accuracy and reliability of the bonding effect of the insulation board. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and other purposes, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below through the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0024] Figure 1 is a flow chart schematically showing a method for quality inspection of bonding effect of a thermal insulation board in the present invention;

[0025] Figure 2 is a flowchart schematically showing step S4. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0027] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0028] The embodiment of the present invention discloses a method for inspecting the bonding effect of a thermal insulation board. Figure 1 , including steps S1 to S5:

[0029] S1. Obtain a building elevation drawing of the building's exterior wall.

[0030] It should be noted that the insulation boards on the exterior walls of buildings play multiple important roles in modern buildings: first, the insulation boards improve the comfort of the living or working environment by reducing the heat exchange between the inside and outside of the building and the indoor temperature fluctuations, effectively reducing the energy consumption of the heating and air-conditioning systems, and achieving energy conservation and consumption reduction; second, the insulation materials of the insulation boards enhance the fire safety of the building due to their flame retardant properties, and can also absorb some noise and reduce the interference of external noise on the indoor environment; finally, the insulation boards can also protect the building structure from the impact of temperature changes and extend the service life of the building; these comprehensive benefits not only improve the functionality and comfort of the building, but also have a positive impact on environmental protection.

[0031] It should be further explained that good bonding can ensure that the insulation board can fully play its role in energy saving and consumption reduction, and prevent heat loss and insulation board falling off due to poor bonding. It is the key to avoiding safety accidents. Good bonding effect helps to extend the service life of the insulation board, reduce the frequency of maintenance and replacement, and thus save maintenance costs. Therefore, it is very important to carry out quality inspection of the bonding effect of the insulation board.

[0032] Specifically, obtain the building elevation drawing of the building exterior wall, the building elevation drawing is drawing; (Computer-aided design) drawings are specialized tools used by building designers to show detailed vertical views of a building's exterior walls, usually with precise dimensions, material specifications, architectural elements and construction details.

[0033] Furthermore, the temperature of each unit area of ​​the building's exterior wall is affected by many factors, including exterior wall properties, vertical height, orientation and interior space properties. Therefore, the exterior wall properties, vertical height, orientation and interior space properties of each unit area of ​​the building's exterior wall are used as the basic properties of each unit area; the size of the unit area is equal to 1 square meter; the exterior wall properties of the unit area refer to whether the unit area belongs to a window or an insulation board; the interior space properties refer to whether the interior space corresponding to the unit area is a living area or a corridor.

[0034] Among them, positions at different vertical heights on the exterior wall of the building will receive different sunlight and wind speeds, and the air temperature at different heights is stratified, which will affect the temperature of the exterior wall; positions on the exterior wall of the building in different directions receive sunlight at different times and intensities, and are affected by the wind to different degrees, resulting in differences in wall temperatures in different directions, affecting the temperature of the exterior wall; the living area has more people and equipment that generate heat, while the corridor is relatively cold, so whether the internal space corresponding to the unit area is a living area or a corridor will also affect the temperature of the exterior wall; these basic properties act on the exterior wall of the building in combination, resulting in differences in temperature per unit area, so the basic properties per unit area are important properties that determine the thermal characteristics of the unit area.

[0035] S2. Divide the unit area into a window area and a thermal insulation area according to the properties of the exterior wall, and obtain supplementary properties of the thermal insulation area according to the positional relationship between the thermal insulation area and the window area.

[0036] Specifically, the unit area is divided into a window area and an insulation area according to the exterior wall properties of each unit area. The exterior wall properties of the unit area refer to whether the unit area belongs to a window or an insulation board. Therefore, the unit area belonging to the window is divided into a window area, and the unit area belonging to the insulation board is divided into an insulation area.

[0037] Further, according to the positional relationship between the insulation area and the window area, the supplementary attributes of the insulation area are obtained, including: recording the vertical height, orientation and internal space attributes as the first Basic attributes, The basic attributes and basic attributes; according to the positional relationship between the insulation area and the window area, calculate the spatial distance between each target window area in the insulation area and the insulation area; according to the spatial distance between each target window area in the insulation area and the insulation area, The basic attributes and The basic attributes are weighted to obtain the first The supplementary attributes and A supplementary attribute.

[0038] It should be noted that the supplementary properties of the insulation area are obtained by analyzing the positional relationship between the insulation area and the window area and the basic properties of the window area. The supplementary properties of the insulation area reflect the heat flow transfer pattern of the insulation area, providing more comprehensive data support for the subsequent classification of all insulation areas.

[0039] The target window areas of the heat preservation area refer to the window areas within the preset range of the heat preservation area; the preset range of the heat preservation area is centered on the heat preservation area and has a size of area, is a preset length, the unit of the preset length is meter, the specific value of the preset length can be set according to the actual application scenario and requirements, and the preset length is an odd number in the range of [3,9]. The present invention sets the preset length to 5.

[0040] The spatial distance between each target window area in the thermal insulation area and the thermal insulation area satisfies the expression:

[0041] ;

[0042] In the formula, The insulation area The spatial distance between the target window area and the insulation area, They are the first The horizontal and vertical coordinates of the target window area, are the horizontal and vertical coordinates of the insulation area, To take the absolute value, To get the maximum value.

[0043] Wherein, the first The supplementary attributes and The supplementary properties satisfy the expression:

[0044] ;

[0045] ;

[0046] In the formula, They are the first The supplementary attributes and Supplementary attributes, They are the first The target window area The basic attributes and Basic attributes, The insulation area The spatial distance between the target window area and the insulation area, is the preset length, The number of all target window areas for this insulation area.

[0047] S3. Obtain the sensitivity of temperature to basic attributes and supplementary attributes.

[0048] Specifically, any one of the basic attributes and the supplementary attributes is used as the target attribute to obtain the sensitivity of temperature to the target attribute, including:

[0049] 1. Take several insulation boards of 1 square meter in size and of the same material and model as the insulation boards on the exterior walls of the building as samples.

[0050] 2. Test all samples under different test conditions, and collect temperature data of each sample under different test conditions through a temperature sensor installed on each sample; in different test conditions, only the target attribute is different, and other attributes except the target attribute are the same.

[0051] 3. The mean of the temperature data of all samples under the same test condition is taken as the representative temperature under the test condition.

[0052] 4. Taking the target attribute as the independent variable and the representative temperature as the dependent variable, the SPSS software was used to conduct regression analysis on the representative temperature and target attribute under all test conditions.

[0053] 5. The coefficient of determination R2 (coefficient of determination) in the output results of SPSS software is used as the sensitivity of temperature to the target attribute; the coefficient of determination R2 represents the degree of explanation of the independent variable to the dependent variable, and the value of R2 is between 0 and 1. The closer it is to 1, the stronger the explanatory power of the independent variable to the dependent variable, and the greater the sensitivity of temperature to the target attribute.

[0054] It should be noted that the present invention quantifies the relationship between temperature changes and various attributes of the insulation area by performing regression analysis on representative temperatures and target attributes under different test conditions, thereby obtaining the sensitivity of temperature to each attribute. Subsequently, the sensitivity of temperature to each attribute is used as a weight, so that the calculation of attribute distance can more accurately reflect the similarity of the attributes of the two insulation areas.

[0055] S4. According to the attribute distance and spatial distance between every two insulation areas, all insulation areas are clustered by a clustering algorithm to obtain multiple categories.

[0056] See the flowchart of step S4. Figure 2 , including steps S401 to S403, specifically:

[0057] S401. According to the sensitivity of temperature to basic attributes and supplementary attributes, weight the differences between the two insulation areas in each basic attribute and supplementary attribute to obtain the attribute distance between the two insulation areas.

[0058] Specifically, the attribute distance between the two insulation areas satisfies the expression:

[0059] ;

[0060] In the formula, For the The insulation area and The attribute distance of the insulation area, For temperature The sensitivity of the basic attributes, and , For the The insulation area and The insulation area is in Differences in basic attributes; For temperature The sensitivity of the supplementary attributes, and , For the The insulation area and The insulation area is in The difference in supplementary attributes.

[0061] when At that time, The insulation area and The insulation area is in The difference in basic properties , Respectively The insulation area and The first insulation area Basic attributes, is the height of the building's exterior wall.

[0062] when At that time, The insulation area and The insulation area is in The difference in basic properties , Respectively The insulation area and The first insulation area A basic attribute.

[0063] when At that time, The insulation area and The insulation area is in The difference in basic properties .

[0064] Among them, when At that time, The insulation area and The insulation area is in Differences in supplementary attributes , Respectively The insulation area and The first insulation area Supplementary attributes, is the height of the building's exterior wall.

[0065] when At that time, The insulation area and The insulation area is in Differences in supplementary attributes , Respectively The insulation area and The first insulation area A supplementary attribute.

[0066] It should be noted that the attribute distance between the two insulation areas is obtained by weighting the differences in each attribute between the two insulation areas through the sensitivity, which reflects the similarity between the two insulation areas in thermal characteristics and heat flow transfer patterns, and provides more comprehensive data support for the subsequent classification of all insulation areas.

[0067] S402: Calculate the spatial distance between the two heat preservation areas according to the positional relationship between the two heat preservation areas.

[0068] Specifically, according to the positional relationship between the two insulation areas, the spatial distance between the two insulation areas is calculated, and the spatial distance between the two insulation areas satisfies the expression:

[0069] ;

[0070] In the formula, For the The insulation area and The spatial distance between the insulation areas, Respectively The horizontal and vertical coordinates of the insulation area are Respectively The horizontal and vertical coordinates of the insulation area are To take the absolute value, To get the maximum value.

[0071] It should be noted that calculating the spatial distance between two insulation areas helps to understand the relative position of the insulation areas in the building space, providing more comprehensive data support for the subsequent classification of all insulation areas.

[0072] S403, clustering all the insulation areas according to the attribute distance and the spatial distance between every two insulation areas by using a linear iterative clustering algorithm to obtain multiple categories.

[0073] Specifically, the distance metric between each two insulation areas is calculated according to the attribute distance and spatial distance between each two insulation areas; according to the distance metric, all insulation areas are clustered by a linear iterative clustering algorithm to obtain multiple categories; the linear iterative clustering algorithm refers to the SLlC (Simple Linear Iterative clustering) algorithm, which is a well-known technology and will not be described here.

[0074] Among them, the distance measurement between the two insulation areas satisfies the expression:

[0075] .

[0076] In the formula, For the The insulation area and The distance measure of the insulation area, For the The insulation area and The attribute distance of the insulation area, For the The insulation area and The spatial distance between the insulation areas.

[0077] It should be noted that clustering all insulation areas by integrating the attribute distance and spatial distance of two insulation areas helps to group areas that are close in location and may have the same or similar thermal characteristics into one category.

[0078] S5. Based on the abnormal detection of the temperature data of all the insulation areas in each category, the quality inspection of the bonding effect of each insulation area is judged.

[0079] Specifically, for any category, the temperature data of each insulation area in the category is obtained by infrared thermal imaging equipment; the temperature data of all insulation areas are detected for abnormalities, and when abnormal data exists, the bonding effect quality inspection of the insulation area corresponding to the abnormal data fails.

[0080] For any insulation area, an infrared image of the insulation area is collected by infrared thermal imaging equipment, and the infrared image is a grayscale image; the infrared image is input into FLIR Tools software to generate temperature values ​​of all pixels of the infrared image, which are used to measure the surface temperature of the insulation area; the average of the temperature values ​​of all pixels is used as the temperature data of the insulation area.

[0081] In one embodiment, the temperature data of all insulation areas are detected for abnormalities through the LOF (Local Outlier Factor) algorithm to determine whether there is abnormal data and obtain the abnormal data; the LOF algorithm identifies abnormal data by comparing the local density of the data point with the local density of the surrounding data points. The LOF algorithm is a well-known technology and will not be described in detail here.

[0082] In another embodiment, by calculating the Z score (standard score) of the temperature data of each insulation zone, when there is a Z score exceeding When the temperature data is within a certain range, it is considered that there are abnormal data, and the temperature data with a Z score greater than 3 or less than -3 is recorded as abnormal data; the Z score is equal to the difference between the data point and the mean divided by the standard deviation. The Z score is a statistical concept used to describe the position of a data point relative to the mean of all data points in the entire data set. Calculating the Z score is a well-known technology and will not be described here.

[0083] It should be noted that by performing abnormal detection on the temperature data of all insulation areas belonging to the same category, the influence of the environment on the temperature of each insulation area is eliminated, thereby improving the accuracy and reliability of quality inspection of the bonding effect of the insulation board.

[0084] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0085] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. A method for quality inspection of the bonding effect of an insulation board, characterized in that: include: Get the building elevation drawing of the building exterior wall, the building elevation drawing is Drawings, including basic attributes of each unit area of ​​the building's exterior wall, the basic attributes including exterior wall attributes, vertical height, orientation, and interior space attributes; the unit area is divided into a window area and an insulation area according to the exterior wall attributes; the interior space attribute refers to whether the interior space corresponding to the unit area is a living area or a corridor; According to the positional relationship between the insulation area and the window area and the basic attributes of the window area, the supplementary attributes of the insulation area are obtained, including: the vertical height, orientation and internal space attributes are recorded as the first Basic attributes, The basic attributes and The first basic attribute of each target window area is calculated according to the spatial distance between each target window area and the insulation area. The basic attributes and The basic attributes are weighted to obtain the first The supplementary attributes and Supplementary attributes; The insulation area The supplementary attributes and The supplementary properties satisfy the expression: ; ; They are the first The supplementary attributes and Supplementary attributes, They are the first The target window area The basic attributes and Basic attributes, The insulation area The spatial distance between the target window area and the insulation area, is the preset length, The number of all target window areas for this insulation area; According to the sensitivity of temperature to basic attributes and supplementary attributes, the differences in basic attributes and supplementary attributes of the two insulation areas are weighted to obtain the attribute distance of the two insulation areas; according to the positional relationship of the two insulation areas, the spatial distance between the two insulation areas is calculated , , are the horizontal coordinates of the two insulation areas, is the ordinate of the two insulation areas; according to the attribute distance and spatial distance between every two insulation areas, all insulation areas are clustered by linear iterative clustering algorithm to obtain multiple categories; For any category, the temperature data of each insulation area in the category is obtained by infrared thermal imaging equipment; the temperature data of all insulation areas are detected for abnormalities. When abnormal data exists, the bonding effect quality inspection of the insulation area corresponding to the abnormal data fails.

2. A thermal insulation board bonding effect quality inspection method according to claim 1, characterized in that: The size of the unit area is equal to 1 square meter; the external wall attribute of the unit area refers to whether the unit area belongs to a window or an insulation board; The dividing the unit area into the window area and the insulation area according to the exterior wall attributes includes: dividing the unit area belonging to the window into the window area, and dividing the unit area belonging to the insulation board into the insulation area.

3. A thermal insulation board bonding effect quality inspection method according to claim 1, characterized in that: Each target window area of ​​the heat preservation area refers to a window area located within a preset range of the heat preservation area; the preset range of the heat preservation area is centered on the heat preservation area and has a size of area, The preset length.

4. A thermal insulation board bonding effect quality inspection method according to claim 1, characterized in that: The spatial distance between each target window area in the insulation area and the insulation area satisfies the expression: ； In the formula, The insulation area The spatial distance between the target window area and the insulation area, They are the first The horizontal and vertical coordinates of the target window area, are the horizontal and vertical coordinates of the insulation area, To take the absolute value, To get the maximum value.

5. A thermal insulation board bonding effect quality inspection method according to claim 1, characterized in that: Taking any one of the basic attributes and the supplementary attributes as the target attribute, obtaining the sensitivity of temperature to the target attribute includes: A plurality of insulation boards of the same material and model as the insulation boards of the building exterior walls are used as samples; all the samples are tested under different test conditions, and the temperature data of each sample under different test conditions is collected by a temperature sensor installed on each sample; only the target attribute is different in different test conditions; The mean of the temperature data of all samples under the same test condition was taken as the representative temperature under the test condition. The target attribute and the representative temperature were taken as the independent variable and the dependent variable respectively, and the SPSS software was used to perform regression analysis on the representative temperature and the target attribute under all test conditions. The coefficient of certainty R2 in the output result of the SPSS software was taken as the sensitivity of temperature to the target attribute.

6. A thermal insulation board bonding effect quality inspection method according to claim 1, characterized in that: The attribute distance between the two insulation areas satisfies the expression: ； In the formula, For the The insulation area and The attribute distance of the insulation area, For temperature The sensitivity of the basic attributes, , For the The insulation area and The insulation area is in Differences in basic attributes; For temperature The sensitivity of the supplementary attributes, , For the The insulation area and The insulation area is in The difference in supplementary attributes.

7. A thermal insulation board bonding effect quality inspection method according to claim 6, characterized in that: The method for obtaining the difference between the basic attributes and the difference between the supplementary attributes is as follows: when hour, ;when hour, ;when hour, ; Respectively The insulation area and The first insulation area Basic attributes, is the height of the building's external wall; when hour, ;when hour, ; Respectively The insulation area and The first insulation area A supplementary attribute.

8. A thermal insulation board bonding effect quality inspection method according to claim 1, characterized in that: According to the attribute distance and spatial distance between every two insulation areas, all insulation areas are clustered by a linear iterative clustering algorithm to obtain multiple categories, including: Calculate the The insulation area and The distance measure of the insulation area , , For the The insulation area and The attribute distance of the insulation area, For the The insulation area and The spatial distance between the insulation areas; According to the distance metric, all insulation areas are clustered by a linear iterative clustering algorithm to obtain multiple categories.

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