Fabricated industrial building outer wall joint leakage detection method and device

Abstract

The present application relates to the technical field of building engineering detection, and in particular to a method and device for detecting leakage of joints of an assembled industrial building outer wall, the method comprising: obtaining multiple frames of thermal infrared images and reflection signals of high-frequency sound waves before and after water spraying on the assembled industrial building outer wall; determining joint leakage presentation at any position; clustering positions according to joint leakage presentation and coordinate positions at any position to obtain multiple density clusters; determining final penetration intensity of a leakage area in each frame according to the density cluster area of the leakage area in each frame of thermal infrared images, the temperature average of the leakage area, the geometric center of the density cluster, the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage area in the outer wall in the current frame, and taking the geometric center of each leakage area in the initial frame as a leakage point of the leakage area. The present application improves the accuracy of the detection result of joint leakage detection of the building outer wall.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building engineering detection, and in particular relates to a method and device for detecting leakage of a joint of an assembled industrial building outer wall. BACKGROUND

[0002] The assembled building outer wall is formed by prefabricated components such as prefabricated concrete, steel structure or wood structure, and is an important part of the building envelope structure. However, in actual application, due to factors such as poor quality supervision by the construction party and imperfect standardization system, the sealing of some outer wall joints is not strict, and the risk of leakage increases significantly after heavy rain, which becomes a key problem affecting the performance of the building. To address this problem, the traditional detection method usually uses a combination of water spray test and infrared imaging technology. During detection, each area of the building outer wall detection sample is sprayed with water for a long time through a nozzle, and then multiple frames of thermal infrared images of each area of the outer wall after water spraying are collected. Since joint leakage will cause a high difference between the local temperature and the overall temperature of the outer wall, the leakage condition can be determined according to the temperature difference between each area and the overall temperature in the thermal infrared image.

[0003] However, the traditional detection method has obvious shortcomings in actual scenarios. On the one hand, the internal voids are easily formed in the internal wall of the building due to the poor adhesion of the plaster layer, putty layer or facing layer to the base layer, resulting in hollow defects. The hollow defects and leakage phenomena both show abnormal temperature in infrared imaging, which makes it difficult to distinguish them, resulting in insufficient accuracy of the traditional method for detecting joint leakage of the building outer wall. On the other hand, joints with high leakage intensity will show strong spread performance in multiple frames of time sequence. The traditional method only analyzes the temperature difference between the local and overall temperatures, which cannot adapt to this feature, further reducing the accuracy of the detection results of the joint leakage detection of the building outer wall, and cannot meet the precise detection requirements. SUMMARY

[0004] To solve the technical problem of insufficient accuracy of joint leakage detection of the building outer wall, the purpose of the present application is to provide a method and device for detecting leakage of a joint of an assembled industrial building outer wall.

[0005] To solve the above technical problems, the technical solution adopted is as follows:

[0006] In a first aspect, the embodiments of the present application provide a method for detecting leakage of joints of an assembled industrial building outer wall, comprising: obtaining a plurality of thermal infrared images and reflection signals of high-frequency sound waves before and after water spraying of the outer wall of the assembled industrial building; determining a joint leakage presentation degree of any position according to temperatures of the any position in the thermal infrared images before and after water spraying of the outer wall and the reflection signals of the any position in the initial frame after water spraying of the outer wall; clustering positions according to the joint leakage presentation degrees and coordinate positions of the positions to obtain a plurality of density clusters, and one density cluster corresponding to one leakage area; determining a final penetration intensity of the leakage area in each frame according to the density cluster area of the leakage area in the thermal infrared images, the temperature average of the leakage area, the geometric center of the density cluster, the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage area in the outer wall of the current frame, and taking the geometric center of each leakage area in the initial frame as a leakage point of the leakage area.

[0007] Preferably, the determination of the joint leakage presentation degree of any position according to the temperatures of the any position in the thermal infrared images before and after water spraying of the outer wall and the reflection signals of the any position in the initial frame after water spraying of the outer wall comprises: determining a thermal abnormality coefficient of the any position in the initial frame after water spraying of the outer wall according to the temperatures of the any position in the thermal infrared images and the overall temperature average of the thermal infrared images of the initial frame; determining a hollow temperature reflection degree of the any position in the initial frame after water spraying of the outer wall according to the absolute value of the temperature difference between the thermal infrared images before and after water spraying of the outer wall and the thermal abnormality coefficient; determining an ultrasonic leakage tendency degree of the any position according to the intensity value of the reflection signal of the any position in the initial frame after water spraying of the outer wall and the phase angle between the reflected wave and the incident wave; and determining the joint leakage presentation degree of the any position based on the hollow temperature reflection degree and the ultrasonic leakage tendency degree.

[0008] Preferably, the determination of the thermal abnormality coefficient of the any position in the initial frame after water spraying of the outer wall according to the temperatures of the any position in the thermal infrared images and the overall temperature average of the thermal infrared images of the initial frame comprises: determining the thermal abnormality coefficient according to the absolute value of the temperature difference between the temperatures of the any position in the thermal infrared images and the overall temperature average of the thermal infrared images of the initial frame.

[0009] Preferably, the determination of the ultrasonic leakage tendency degree of the any position according to the intensity value of the reflection signal of the any position in the initial frame after water spraying of the outer wall and the phase angle between the reflected wave and the incident wave comprises: determining the ultrasonic leakage tendency degree according to the product between the reciprocal of the intensity value of the reflection signal and the reciprocal of the phase angle between the reflected wave and the incident wave.

[0010] Preferably, the determining the final penetration intensity of the leakage area in each frame according to the density cluster area of the leakage area in the thermal infrared image of each frame, the temperature mean value of the leakage area, the geometric center of the density cluster, the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage area in the outer wall of the current frame comprises: determining a leakage intensity factor of the leakage area in the current frame after the outer wall is watered according to the density cluster area of the leakage area and the temperature mean value of the leakage area; determining a leakage area diffusion degree of the leakage area in the current frame after the outer wall is watered based on a first difference between the density cluster area of the leakage area in the current frame and the density cluster area in the previous frame, and a second difference between the density cluster areas of all the leakage areas in the current frame in the adjacent two frames; determining a spread performance degree of the leakage area in the current frame according to a Euclidean distance between the geometric center positions of the density cluster of the leakage area in the current frame and the density cluster in the previous frame and the leakage area diffusion degree; determining an evaporation promotion score of the leakage area in the current frame according to the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage area in the outer wall of the current frame; correcting the spread performance degree by using the evaporation promotion score to obtain a corrected spread performance degree; and determining the final penetration intensity of the leakage area in each frame based on the corrected spread performance degree of the leakage area in each frame and the leakage intensity factor of each frame.

[0011] Preferably, the determining the leakage area diffusion degree of the leakage area in the current frame after the outer wall is watered according to the first difference and the mean value of the second difference comprises: determining the leakage area diffusion degree of the leakage area in the current frame after the outer wall is watered according to a third difference between the first difference and the mean value of the second difference.

[0012] Preferably, the determining the evaporation promotion score of the leakage area in the current frame according to the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage area in the outer wall of the current frame comprises: determining a product between the height of the leakage area in the outer wall of the current frame and the ambient temperature; and determining the evaporation promotion score of the leakage area in the current frame based on the product and the ambient humidity.

[0013] Preferably, the correcting the spread performance degree by using the evaporation promotion score to obtain a corrected spread performance degree comprises: determining a correction coefficient of the spread performance degree based on the evaporation promotion score; and correcting the spread performance degree by using the correction coefficient to obtain the corrected spread performance degree.

[0014] Preferably, determining the final penetration intensity of the leakage area in each frame based on the corrected spreading performance of the leakage area in each frame and the leakage intensity factor of each frame comprises: taking the time when the thermal infrared image of each frame is collected as the abscissa, taking the corrected spreading performance of the leakage area in each frame as the ordinate, and placing each sample point in a two-dimensional coordinate system; fitting the sample points by a curve fitting algorithm to obtain a time sequence spreading performance change curve of the leakage area; finding a turning point on the time sequence spreading performance change curve, where the first slope is a preset value and the subsequent slopes are all gentle preset values, and extracting the curve segment before the turning point as the spreading period of the leakage area; determining the mean value of the corrected spreading performance of the leakage area in the spreading period; and determining the final penetration intensity of the leakage area in each frame based on the mean value and the leakage intensity factor of the leakage area in each frame.

[0015] In a second aspect, an embodiment of the present application provides a kind of assembled industrial building outer wall joint leakage detection device, comprising: processor and memory;Wherein, memory is used to store the computer program that can be run on processor;Processor is used to execute the program stored on memory, realize the steps of the joint leakage detection method of assembled industrial building outer wall as mentioned in the first aspect.

[0016] The embodiment of the present application first fuses the thermal infrared temperature data and the high-frequency sound wave reflection signal, compares the temperature change before and after water spraying at any position, combines the sound wave reflection characteristics of the initial frame after water spraying, judges the joint leakage performance in double dimensions, the air resistance of hollow area makes the sound wave reflection signal more regular, and the leakage area will appear signal attenuation or scattering due to the existence of moisture, which effectively distinguishes the difference between the two defects and greatly reduces the misjudgment rate. Further, the embodiment of the present application relies on the leakage performance and the coordinate position to perform density clustering, automatically aggregates feature similar points to form a density cluster, and each cluster corresponds to an independent leakage area. Whether it is a scattered small leakage point or a continuous leakage area, the boundary can be accurately defined, and the distribution situation can be clearly presented, which provides a reliable basis for cause analysis. Moreover, the embodiment of the present application combines multi-frame time sequence data, comprehensively considers the area characteristics such as density cluster area and temperature mean value, and external factors such as environmental temperature and humidity and area height, dynamically calculates the penetration intensity of the penetration area in each frame, can reflect the leakage severity and capture the range expansion trend, improves the accuracy of the detection result of the joint leakage detection of the building outer wall, and realizes the precise detection requirement. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art and the advantages thereof, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0018] Figure 1 A flow chart of a method for detecting leakage of an assembled industrial building outer wall joint according to an embodiment of the present application is provided.

[0019] Figure 2 A schematic diagram of a propagation period according to an embodiment of the present application is provided.

[0020] Figure 3 A structural schematic diagram of a device for detecting leakage of an assembled industrial building outer wall joint according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[0021] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined object, the specific implementation, structure, features and effects of a method and device for detecting leakage of an assembled industrial building outer wall joint according to the present application are described in detail as follows in combination with the drawings and preferred embodiments. In the following description, different "one embodiment" or "one embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0023] The actual scenario targeted by the embodiments of the present application is as follows: due to the influence of construction precision, the assembled building outer wall may have poor joint sealing, resulting in leakage of the building outer wall after heavy rain, which increases the use risk of the building outer wall. The traditional method for detecting leakage of the building outer wall is to combine the water spraying test and infrared imaging auxiliary technology. During detection, first, each region of the building outer wall sample to be detected is sprayed with water for a long time through a nozzle, then multiple frames of thermal infrared images of the building outer wall after water spraying are collected by a thermal infrared imaging device, and the leakage points and leakage intensity are determined according to the local and overall temperature difference in the thermal infrared images. However, due to the presence of hollow defects in the building inner wall in the actual scenario, it is easy to cause confusion with the leakage area, and the leakage phenomenon has a propagation performance after water spraying, which leads to insufficient analysis accuracy of the joint leakage obtained by the traditional method according to the local and overall temperature difference. Therefore, the present application obtains more accurate analysis results of the leakage by combining the distinguishing features of the leakage phenomenon and the hollow defect in the actual scenario and the specific propagation performance of the leakage area in multiple frames.

[0024] The specific scheme of a method for detecting leakage of an assembled industrial building outer wall joint according to the present application is described in detail below in combination with the drawings.

[0025] Embodiment one:

[0026] Please refer to Figure 1It shows a flow chart of the assembly type industrial building outer wall joint leakage detection method provided by an embodiment of the present application, including:

[0027] In step S101, a plurality of thermal infrared images and high-frequency sound wave reflection signals before and after water spraying of the assembly type industrial building outer wall are acquired.

[0028] Specifically, the structure distribution map of the assembly type industrial building outer wall to be detected can be acquired first, and the positions of the joints on the assembly type industrial building outer wall are located through the structure distribution map, including the window periphery, the outer wall plate joint, and the pipeline wall-penetrating part. Then, the assembly type industrial building outer wall to be detected is rasterized, and it is divided into 500 preset local areas, the total length of the joints in a single local area is acquired, and if the total length of the joints in the local area accounts for a larger proportion than that in all areas, a more persistent nozzle water spraying time is applied to the area. In the embodiment of the present application, the longest water spraying time of a single local area is 45 minutes, and if there is no joint part in the local area, water spraying for 10 minutes is performed.

[0029] More specifically, after a plurality of local areas of the outer wall are obtained, a plurality of thermal infrared images of each local area of the outer wall are acquired through thermal infrared imaging technology. The single thermal infrared image before water spraying and the plurality of thermal infrared images after water spraying of the assembly type industrial building outer wall to be detected are included, wherein the infrared imaging data is collected every 10 minutes after water spraying, and 24 hours of infrared data is collected after water spraying.

[0030] More specifically, the reflection signals of the high-frequency sound waves at each position in the initial frame after water spraying of the assembly type industrial building outer wall to be detected are read by the ultrasonic detector. The environmental humidity data and the environmental temperature data near the assembly type industrial building outer wall after water spraying are read by the temperature and humidity sensing module.

[0031] In step S102, the joint leakage degree of any position is determined according to the temperature in the thermal infrared images of any position before and after water spraying of the outer wall, and the reflection signal of any position in the initial frame after water spraying of the outer wall.

[0032] Specifically, the purpose of the embodiment of the present application is to locate the leakage points on the detection sample of the assembly type industrial building outer wall and determine the leakage intensity, so for a single leakage point of the assembly type industrial building outer wall after water spraying, the hollow temperature reflection degree is obtained according to the temperature difference performance, and then the joint leakage degree of each leakage point is obtained by combining the ultrasonic detection echo performance, and each leakage area in each thermal infrared image is determined by density clustering, and then the leakage intensity of each leakage area is determined by combining the leakage spread performance in the plurality of time sequences after water spraying, and the center of the leakage area in the initial frame after water spraying is taken as the accurate leakage point of the single leakage area.

[0033] More specifically, consider the presence of a large amount of water in the wall of the leakage area, and the presence of water changes the heat capacity and thermal conductivity of the material, resulting in the temperature difference between the leakage area and other areas in the thermal infrared image is more obvious, so according to the difference between the local temperature and the overall temperature to obtain the thermal anomaly coefficient of each point; Further, due to the poor adhesion of the base material in some areas of the external wall of the prefabricated industrial building, resulting in the existence of gaps in the inner wall, which reflects the hollow defect, the hollow defect is easy to be confused with the leakage area in the joint leakage detection, therefore, the embodiment of the present application obtains the joint leakage degree of the penetration point of each wall based on the thermal anomaly coefficient and the temperature stability before and after water spraying and the ultrasonic detection echo intensity level. Based on this, according to another embodiment of the present application, according to the temperature of any position in the initial frame in the thermal infrared image before and after the external wall is sprayed with water, the reflection signal of any position in the initial frame after the external wall is sprayed with water, determine the joint leakage degree of any position, comprising: according to the temperature of any position in the initial frame in the thermal infrared image and the overall temperature average of the thermal infrared image of the initial frame, determine the thermal anomaly coefficient of any position in the initial frame after the external wall is sprayed with water; according to the absolute value of the temperature difference between the thermal infrared image before and after the external wall is sprayed with water in the initial frame and the thermal anomaly coefficient, determine the hollow temperature reflection degree of any position in the initial frame after the external wall is sprayed with water; according to the intensity value of the reflection signal of any position in the initial frame after the external wall is sprayed with water and the phase angle between the reflection wave and the incident wave, determine the ultrasonic leakage trend degree of any position; based on the hollow temperature reflection degree and the ultrasonic leakage trend degree, determine the joint leakage degree of any position.

[0034] Specifically, the specific heat capacity of water is significantly higher than that of dry concrete, when there is leakage water in the external wall area of the prefabricated industrial building, the temperature change amplitude is smaller when it absorbs or releases the same heat, resulting in that the leakage area is a local low temperature area (cold spot) in the thermal infrared image. Therefore, the embodiment of the present application obtains the thermal infrared image of the initial frame after the external wall of the prefabricated industrial building is sprayed with water, and randomly selects a point (any position) on the thermal infrared image as the current analysis point, and obtains the temperature of the point on the thermal infrared image At the same time, the overall temperature average of the initial frame infrared image after water spraying is obtained Further, according to another embodiment of the present application, according to the temperature of any position in the initial frame in the thermal infrared image and the overall temperature average of the thermal infrared image of the initial frame, determine the thermal anomaly coefficient of any position in the initial frame after the external wall is sprayed with water, comprising: according to the absolute value of the temperature difference between the temperature of any position in the initial frame in the thermal infrared image and the overall temperature average of the thermal infrared image of the initial frame, determine the thermal anomaly coefficient.

[0035] More specifically, the embodiment of the present application calculates the thermal anomaly coefficient of the current analysis point in the initial frame after the external wall of the prefabricated industrial building is sprayed with water by the following formula:

[0036]

[0037] In the formula, represents the thermal abnormality coefficient of the current analysis point in the initial frame after the water is sprayed on the outer wall of the fabricated industrial building. represents the temperature of the current analysis point in the initial frame after the water is sprayed on the outer wall of the fabricated industrial building. represents the overall temperature average of the thermal infrared image of the initial frame after the water is sprayed on the outer wall of the fabricated industrial building. represents a normalization function. The greater the temperature difference between the local temperature of the current analysis point and the overall temperature of the building outer wall is , the greater the thermal abnormality of the analysis point is reflected.

[0038] More specifically, due to the construction process precision of the outer wall of the fabricated industrial building, there may be a hollow defect in the inner wall, which is a closed gap in the inner wall, and the hollow defect and the leakage area are both shown as temperature abnormalities on the thermal infrared image, so it is necessary to further distinguish the hollow and leakage phenomena. Therefore, the absolute value of the temperature difference between the thermal infrared image before water spraying and the thermal infrared image in the initial frame after water spraying of the current analysis point is obtained by the embodiment of the present application. Further, the hollow temperature reflection degree of any position in the initial frame after water spraying on the outer wall is calculated by the embodiment of the present application using the following formula:

[0039]

[0040] In the formula, represents the hollow temperature reflection degree of any position in the initial frame after water spraying on the outer wall. represents the absolute value of the temperature difference between the thermal infrared image before water spraying and the thermal infrared image in the initial frame after water spraying of the current analysis point. represents the thermal abnormality coefficient of the current analysis point in the initial frame after the water is sprayed on the outer wall of the fabricated industrial building. The greater the thermal abnormality coefficient of the current analysis point is, and the lower the temperature deviation level of the point before and after water spraying is, the greater the possibility that the analysis point is in the hollow defect area is.

[0041] More specifically, there is a large amount of air in the hollow area, and the air interface will cause strong reflection of sound waves, and the sound impedance difference between air and concrete is large, and the reflection wave phase deviates greatly from the incident wave. In the leakage area, there is a large amount of water, and the sound impedance difference between water and concrete is small, and the reflection signal is weak, and the reflection wave phase is close to the incident wave. Therefore, the intensity value of the reflection signal of the current analysis point in the initial frame after the water is sprayed on the outer wall of the building is obtained by the embodiment of the present application, and the phase angle between the reflection wave and the incident wave of the point Further, according to another embodiment of the present application, the ultrasonic leakage tendency degree of the arbitrary position is determined according to the intensity value of the reflection signal at the arbitrary position in the initial frame after the water spraying on the outer wall of the building and the phase angle between the reflection wave and the incident wave, and the ultrasonic leakage tendency degree is determined according to the product of the reciprocal of the intensity value of the reflection signal and the reciprocal of the phase angle between the reflection wave and the incident wave.

[0042] Specifically, the ultrasonic leakage tendency degree is calculated according to the following formula in the embodiment of the present application:

[0043]

[0044] In the above formula, represents the ultrasonic leakage tendency degree. represents the intensity value of the reflection signal of the current analysis point in the initial frame after the water spraying on the outer wall of the building. represents the angle value of the phase angle between the reflection wave and the incident wave. represents the exponential function with e as the base. The lower the ultrasonic echo intensity of the current analysis point and the smaller the phase deviation between the reflection wave and the incident wave, the higher the tendency degree of the current analysis point in the leakage area.

[0045] More specifically, if the hollow temperature reflection degree of a single point in the initial frame after the water spraying on the outer wall of the building is lower, and the ultrasonic leakage tendency degree is higher, it is reflected that the point is more likely to be in the joint leakage area. Therefore, the joint leakage presentation degree of the current analysis point is calculated according to the following formula in the embodiment of the present application:

[0046]

[0047] In the above formula, represents the joint leakage presentation degree of the current analysis point. represents the ultrasonic leakage tendency degree. represents the hollow temperature reflection degree of the arbitrary position in the initial frame after the water spraying on the outer wall. represents the normalization function.

[0048] Similarly, the joint leakage presentation degrees of all analysis points in each frame of the thermal infrared image after the water spraying on the outer wall of the prefabricated industrial building are calculated and recorded.

[0049] In step S103, the positions are clustered according to the joint leakage presentation degrees and the coordinate positions of the arbitrary positions, and a plurality of density clusters are obtained.

[0050] Among them, one density cluster corresponds to one leakage area.

[0051] ​Specifically, the embodiment of the present application obtains each leakage area according to the joint leakage presentation degree through clustering. Specifically, taking the analysis process of any frame of thermal infrared image after water spraying on the outer wall of the fabricated industrial building as an example, the joint leakage presentation degree and the coordinate position of each point on the frame of thermal infrared image are taken as inputs to perform density-based spatial clustering of applications with noise (Density-Based Spatial Clustering of Applications with Noise, DBSCAN) clustering, ) Density clustering, and then a single density cluster in the clustering result is a single leakage area in the frame of thermal infrared image. When the leakage area of the outer wall of the fabricated industrial building penetrates too much water during the water spraying test, the leakage area will present a larger leakage influence range after water spraying, and the high water storage capacity makes the low temperature of the leakage area more intense.

[0052] In step S104, according to the density cluster area of the leakage area in each frame of thermal infrared image, the temperature average of the leakage area, the geometric center of the density cluster, the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage area in the outer wall of the current frame, the final penetration intensity of the leakage area in each frame is determined, and the geometric center of each leakage area in the initial frame is taken as the leakage point of the leakage area.

[0053] Specifically, the embodiment of the present application obtains each leakage area according to the joint leakage presentation degree through clustering, and then considers that when the leakage intensity is high, the involved area range of the leakage area will be larger, and the high water storage capacity will intensify the low temperature performance of the leakage area in the thermal infrared imaging. Therefore, the embodiment of the present application combines the temperature and the leakage intensity factor of each leakage area. Further, when the leakage area penetrates too much water during the water spraying process, the spreading performance will appear in the subsequent multiple frames, and the stronger the spreading performance is, the greater the reverse verification of the leakage intensity is. Therefore, the embodiment of the present application analyzes the spreading performance of the area in multiple frames based on the leakage intensity factor to obtain the final leakage intensity of the leakage area.

[0054] More specifically, according to another embodiment of the present application, determining the final penetration intensity of the leakage region in each frame according to the density cluster area of the leakage region in the thermal infrared image of each frame, the temperature mean value of the leakage region, the geometric center of the density cluster, the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage region in the outer wall of the current frame comprises: determining a leakage intensity factor of the leakage region in the current frame after the outer wall is watered according to the density cluster area of the leakage region and the temperature mean value of the leakage region; determining a leakage area diffusion degree of the leakage region in the current frame after the outer wall is watered based on a first difference between the density cluster area of the leakage region in the current frame and the density cluster area in the previous frame, and a second difference between the density cluster areas of all the leakage regions in the current frame and the previous frame; determining a spread performance degree of the leakage region in the current frame according to the Euclidean distance between the geometric center position of the density cluster of the leakage region in the current frame and the geometric center position of the density cluster in the previous frame and the leakage area diffusion degree; determining an evaporation promotion score of the leakage region in the current frame according to the ambient temperature near the outer wall of the current frame, the ambient humidity, and the height of the leakage region in the outer wall of the current frame; correcting the spread performance degree by using the evaporation promotion score to obtain a corrected spread performance degree; and determining the final penetration intensity of the leakage region in each frame based on the corrected spread performance degree of the leakage region in each frame and the leakage intensity factor of each frame.

[0055] Specifically, the embodiment of the present application first acquires the density cluster area of the current analysis leakage region in the current analysis frame after watering , and the temperature mean value of the leakage region . Then the leakage intensity factor of the current analysis leakage region in the current frame of the outer wall of the fabricated industrial building after watering is calculated by using the following formula:

[0056]

[0057] In the above formula, is the leakage intensity factor of the current analysis leakage region in the current frame of the outer wall of the fabricated industrial building after watering. is the temperature mean value of the leakage region. If the cluster area of the current analysis leakage region involves a wider range and the low temperature performance in the leakage region is stronger, it is more likely that the leakage region has strong leakage performance.

[0058] More specifically, after watering, the leakage region will spread and diffuse water in all directions from the joint leakage point in a short period of time. The stronger the spread of water, the higher the water storage degree of the leakage region, and the leakage intensity of the leakage region is more likely to be underestimated. Therefore, for the current analysis leakage region in the current analysis frame of the outer wall of the fabricated industrial building after watering, the embodiment of the present application calculates the difference between the density cluster area of the leakage region in the current frame and the density cluster area in the previous acquisition frame simultaneously calculate the mean value of the density cluster area difference of all leakage areas in the adjacent two frames It is worth noting that the two leakage areas with the highest overlap ratio in the adjacent two frames are regarded as the same leakage area. Furthermore, according to another embodiment of the present application, the determination of the leakage area expansion degree of the leakage area in the current frame after the water is poured on the outer wall according to the mean value of the first difference value and the second difference value comprises: determining the leakage area expansion degree of the leakage area in the current frame after the water is poured on the outer wall according to a third difference value between the mean value of the first difference value and the second difference value.

[0059] Specifically, the present application calculates the leakage area expansion degree of the leakage area by the following formula:

[0060]

[0061] In the above formula, represents the leakage area expansion degree of the leakage area. represents the difference value between the density cluster area in the current frame and the density cluster area in the previous acquisition frame of the leakage area. represents the mean value of the density cluster area difference of all leakage areas in the adjacent two frames. represents a normalization function. If the area difference of the current analysis leakage area in the current frame compared with the leakage area in the previous acquisition frame is larger, it means that the water involved area of the leakage area in the current frame has a faster expansion rate.

[0062] More specifically, the present application respectively obtains the geometric center positions of the corresponding density clusters of the current analysis leakage area in the current analysis frame and the previous acquisition frame, obtains the Euclidean distance between the two geometric centers , and calculates the spreading performance of the current analysis leakage area in the current analysis frame by the following formula :

[0063]

[0064] In the above formula, represents the spreading performance of the current analysis leakage area in the current analysis frame. represents the leakage area expansion degree of the leakage area. represents the Euclidean distance between the geometric center position of the current analysis leakage area in the current analysis frame and the geometric center position of the corresponding density cluster in the previous acquisition frame. represents a normalization function. If the leakage area expansion degree of the current analysis leakage area in the current frame is larger, and the leakage position offset compared with the previous acquisition frame is larger, it means that the leakage area in the current frame has a stronger leakage spreading performance.

[0065] More specifically, when the leakage area experiences time after water spraying, at this time, the water amount of the leakage water is less, the water evaporation performance is enhanced, and the spreading and diffusion performance of the leakage water is gradually weakened, wherein the ambient temperature and humidity can affect the water evaporation, and bring analysis error, and the ambient temperature and humidity at different times can be different, so that the spreading performance can be weak at a certain time, the ambient temperature is high, and the humidity is low, so that the spreading intensity is underestimated, and then the leakage intensity is underestimated. Therefore, the embodiment of the present application obtains the ambient temperature and humidity near the prefabricated industrial building outer wall at the time of the current analysis frame, and obtains the height of the current analysis leakage area in the prefabricated industrial building outer wall . According to another embodiment of the present application, the evaporation promotion score of the leakage area in the current frame is determined according to the ambient temperature near the outer wall of the current frame, the ambient humidity and the height of the leakage area in the outer wall of the current frame, including: determining the product between the height of the leakage area in the outer wall of the current frame and the ambient temperature; based on the product and the ambient humidity, the evaporation promotion score of the leakage area in the current frame is determined.

[0066] Specifically, the embodiment of the present application calculates the evaporation promotion score of the leakage area in the current frame by the following formula:

[0067]

[0068] In the above formula, represents the evaporation promotion score of the leakage area in the current frame. represents the height of the current analysis leakage area in the prefabricated industrial building outer wall. represents the ambient temperature near the prefabricated industrial building outer wall at the time of the current analysis frame. represents the ambient humidity near the prefabricated industrial building outer wall at the time of the current analysis frame. Wherein, the higher the real-time ambient temperature of the current analysis frame, the lower the humidity, the more likely the ambient temperature and humidity can intensify the evaporation of the leakage water, and the higher the position of the leakage area in the building outer wall, the greater the influence of the ambient temperature and humidity.

[0069] More specifically, the higher the evaporation promotion score of the leakage area in the current analysis frame, the more it will intensify the evaporation performance of the real-time leakage water, so that the leakage spreading intensity of the leakage water is underestimated, so the spreading performance degree is corrected by the evaporation promotion score. Based on this, according to another embodiment of the present application, the spreading performance degree is corrected by the evaporation promotion score to obtain the corrected spreading performance degree, including: determining the correction coefficient of the spreading performance degree based on the evaporation promotion score; correcting the spreading performance degree by using the correction coefficient to obtain the corrected spreading performance degree.

[0070] Specifically, the embodiment of the present application calculates the corrected spreading performance degree by the following formula:

[0071]

[0072] In the above formula, represents the corrected spread performance. represents the evaporation promotion factor of the leakage area in the current frame. represents the spread performance of the current leakage area in the current analysis frame. represents the hyperbolic tangent function.

[0073] More specifically, according to another embodiment of the present application, determining the final penetration intensity of the leakage area in each frame based on the corrected spread performance of the leakage area in each frame and the leakage intensity factor of each frame comprises: placing each sample point in a two-dimensional coordinate system with the time when the thermal infrared image of each frame is collected as the horizontal coordinate and the corrected spread performance of the leakage area in each frame as the vertical coordinate; fitting each sample point by a curve fitting algorithm to obtain a time sequence spread performance change curve of the leakage area; finding a turning point on the time sequence spread performance change curve where the first slope is a preset value and the subsequent slopes are all gentle to a preset value, and extracting the curve segment before the turning point as the spread period of the leakage area; determining the mean value of the corrected spread performance of the leakage area in the spread period; and determining the final penetration intensity of the leakage area in each frame based on the mean value and the leakage intensity factor of the leakage area in each frame.

[0074] For example, as shown in Figure 2 , Figure 2 is a schematic diagram of the spread period provided by one embodiment of the present application. Figure 2 In the embodiment, for the current analysis leakage area, each sample point is placed in a two-dimensional coordinate system with the time when the thermal infrared image of each frame is collected as the horizontal coordinate and the corrected spread performance of the leakage area in each frame as the vertical coordinate, and the sample points are fitted by a curve fitting algorithm to obtain a time sequence spread performance change curve of the current analysis leakage area, and a turning point is found on the time sequence spread performance change curve where the first slope is 0 and the subsequent slopes are all gentle to 0, and the curve segment before the turning point is extracted as the spread period of the leakage area.

[0075] More specifically, the embodiment calculates the mean value of the corrected spread performance of the current leakage area in the corresponding spread period , and calculates the final leakage intensity of the current analysis leakage area by the following formula :

[0076]

[0077] In the above formula, represents the final leakage intensity of the current analysis leakage area. The leakage intensity factor of the current analysis leakage area in the current frame after the assembly type industrial building outer wall is watered. The average value of the corrected spread performance of the current leakage area in the corresponding spread period is represented. If the leakage intensity factor of the current analysis leakage area is greater, and the corrected spread performance of the leakage area in the spread period is higher, it is indicated that the final leakage intensity of the leakage area is greater.

[0078] Similarly, the final leakage intensity of each leakage area in each frame of thermal infrared image after watering is calculated and recorded.

[0079] More specifically, the final leakage intensity of each leakage area in each frame of thermal infrared image is determined by the above steps, and then for a single leakage area, because the leakage area is offset due to the spread phenomenon after watering, the geometric center of the leakage area in the first frame after watering is the most accurate leakage point of the leakage area, and the leakage intensity and accurate leakage point of each leakage area are obtained.

[0080] More specifically, the above determined leakage point is endoscopically verified, the internal water seepage condition is observed after drilling, and it is confirmed whether it is an actual leakage source. Then the ineffective sealant, grouting material and sundries at the joint are removed, and after washing with a high-pressure water gun and drying, it is ensured that the base layer is dry, the accumulated water in the joint is discharged, and the subsequent construction is avoided from being disturbed by water vapor. Then the damaged base layer is leveled by using cement mortar or polymer repair mortar, and the interface is ensured to be flat. Finally, waterproof sealing material (such as silicone glue or polyurethane) is injected through a pre-set grouting pipe to fill the gap, and a water test (pressure 0.3~0.5MPa, duration≥2h) is carried out within 72 hours after repair, and infrared thermal imaging is used to verify that there is no leakage.

[0081] The embodiment of the present application can effectively distinguish the difference between the two defects by first fusing the thermal infrared temperature data and the high-frequency acoustic reflection signal, comparing the temperature change before and after water spraying at any position, and combining the acoustic reflection characteristics of the initial frame after water spraying. The air resistance of the hollow area makes the acoustic reflection signal more regular, while the signal attenuation or scattering occurs in the leakage area due to the presence of water. The embodiment of the present application can effectively reduce the misjudgment rate. Further, the embodiment of the present application relies on the leakage degree and the coordinate position to perform density clustering, automatically aggregates feature similar points to form a density cluster, and each cluster corresponds to an independent leakage area. Whether it is a scattered small leakage point or a continuous leakage area, the boundary can be accurately defined, and the distribution trend can be clearly presented, providing a reliable basis for cause analysis. Moreover, the embodiment of the present application combines multiple time sequence data, comprehensively considers the area characteristics such as density cluster area and temperature mean value, and external factors such as environmental temperature and humidity and area height, dynamically calculates the penetration strength of each frame of the penetration area, which can reflect the severity of the leakage and capture the range expansion trend, thereby improving the accuracy of the detection result of the joint leakage detection of the building outer wall and achieving the requirement of accurate detection.

[0082] Further, by performing a water spraying test on the building outer wall sample and obtaining single-frame and multi-frame thermal images before and after water spraying, the hollow temperature reflection degree of the single-frame thermal image after water spraying is obtained according to the difference between the single point and the overall temperature and the temperature before water spraying. Then, the joint leakage degree is obtained by combining the ultrasonic echo signal strength analysis. Further, the position of the point on the single-frame image and the joint leakage degree of the point are subjected to density clustering to obtain each leakage area. Further, the leakage strength factor of the leakage area is obtained by the thermal performance and area range of the leakage area. Meanwhile, the spread performance of each leakage area in each frame is obtained according to the area diffusion and leakage center offset performance of the leakage area in the multi-frame image. The spread performance is corrected by the environmental temperature and humidity and the height performance of the leakage area. Then, the time sequence spread performance change curve is constructed. Further, the final leakage strength of the leakage area is obtained according to the curve performance combined with the leakage strength factor. The geometric center of the initial frame area of the leakage area after water spraying is selected as the accurate leakage point. Compared with the traditional method, the present application can obtain a joint leakage analysis result with higher adaptability by combining the distinguishing features of the leakage phenomenon and the hollow defect in the actual scene and the specific spread of the leakage area, thereby improving the detection accuracy of the joint leakage of the fabricated building outer wall.

[0083] Embodiment two

[0084] Corresponding to the joint leakage detection method of the fabricated industrial building outer wall provided by the above embodiment, based on the same technical concept, the present embodiment also provides a joint leakage detection device for the fabricated industrial building outer wall, which is used to execute the joint leakage detection method of the fabricated industrial building outer wall, Figure 3Another structural schematic diagram of the assembled industrial building outer wall joint leakage detection device according to various embodiments of the present application is shown in FIG. 5. Figure 3 At the hardware level, the assembled industrial building outer wall joint leakage detection device includes a processor, and optionally includes an internal bus, a network interface, and a memory. The memory can include a memory such as a high-speed random access memory (RAM), and can also include a non-volatile memory such as at least one disk memory. Of course, the assembled industrial building outer wall joint leakage detection device can also include other hardware required by the business.

[0085] The processor, the network interface, and the memory can be connected to each other through the internal bus, which can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one bidirectional arrow is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0086] The memory is used to store programs. Specifically, the program can include program code, and the program code includes computer operation commands. The memory can include a memory and a non-volatile memory, and provides instructions and data to the processor.

[0087] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs, and forms the device for positioning the specified user at the logical level. The processor executes the program stored in the memory, and is specifically used to execute: Figure 1 The method disclosed in the embodiment shown achieves the functions and beneficial effects of the methods in the foregoing method embodiments, and will not be described here.

[0088] It should be noted that the assembled industrial building outer wall joint leakage detection device provided by the embodiments of the present application is based on the same application concept as the assembled industrial building outer wall joint leakage detection method provided by the embodiments of the present application, so the specific implementation of this embodiment can be referred to the implementation of the foregoing assembled industrial building outer wall joint leakage detection method, and has the same or similar beneficial effects, and the repeated parts will not be described here.

[0089] It is to be noted that the sequential order of the above-described embodiments of the present application only for the purpose of description, but not the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0090] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments.

Claims

1. A method for detecting leakage of a fabricated industrial building exterior wall joint, characterized by, The assembled industrial building outer wall joint leakage detection method comprises: Obtain multiple frames of thermal infrared images and high-frequency sound wave reflection signals before and after water spraying on the outer wall of the assembled industrial building; Determine the joint leakage presentation degree of the arbitrary position according to the temperature of the arbitrary position in the initial frame in the thermal infrared images before and after water spraying on the outer wall and the reflection signal of the arbitrary position in the initial frame after water spraying on the outer wall; Cluster each position according to the joint leakage presentation degree and the coordinate position of the arbitrary position to obtain multiple density clusters, and one density cluster corresponds to one leakage area; Determine the final penetration intensity of the leakage area in each frame according to the density cluster area of the leakage area in the thermal infrared images of each frame, the temperature mean value of the leakage area, the geometric center of the density cluster, the ambient temperature near the outer wall of the current frame, the ambient humidity and the height of the leakage area in the outer wall of the current frame, and take the geometric center of each leakage area in the initial frame as the leakage point position of the leakage area.

2. The method for detecting leakage of the fabricated industrial building outer wall joint according to claim 1, characterized in that, The determination of the joint leakage presentation degree of the arbitrary position according to the temperature of the arbitrary position in the initial frame in the thermal infrared images before and after water spraying on the outer wall and the reflection signal of the arbitrary position in the initial frame after water spraying on the outer wall comprises: Determine the thermal abnormality coefficient of the arbitrary position in the initial frame after water spraying on the outer wall according to the temperature of the arbitrary position in the thermal infrared images and the overall temperature mean value of the thermal infrared images of the initial frame; Determine the hollow temperature reflection degree of the arbitrary position in the initial frame after water spraying on the outer wall according to the absolute value of the temperature difference between the thermal infrared images before and after water spraying on the outer wall and the thermal abnormality coefficient; Determine the ultrasonic leakage tendency degree of the arbitrary position according to the intensity value of the reflection signal of the arbitrary position in the initial frame after water spraying on the outer wall and the phase angle between the reflected wave and the incident wave; Determine the joint leakage presentation degree of the arbitrary position based on the hollow temperature reflection degree and the ultrasonic leakage tendency degree.

3. The method for detecting leakage of the fabricated industrial building outer wall joint according to claim 2, characterized in that, The determination of the thermal abnormality coefficient of the arbitrary position in the initial frame after water spraying on the outer wall according to the temperature of the arbitrary position in the thermal infrared images and the overall temperature mean value of the thermal infrared images of the initial frame comprises: Determine the thermal abnormality coefficient according to the absolute value of the temperature difference between the temperature of the arbitrary position in the thermal infrared images and the overall temperature mean value of the thermal infrared images of the initial frame.

4. The method for detecting leakage of the fabricated industrial building outer wall joint according to claim 2, characterized in that, The determination of the ultrasonic leakage tendency degree of the arbitrary position according to the intensity value of the reflection signal of the arbitrary position in the initial frame after water spraying on the outer wall and the phase angle between the reflected wave and the incident wave comprises: Determine the ultrasonic leakage tendency degree according to the product between the reciprocal of the intensity value of the reflection signal and the reciprocal of the phase angle between the reflected wave and the incident wave.

5. The method according to any one of claims 1-4, wherein, The determination of the final penetration intensity of the leakage area in each frame according to the density cluster area of the leakage area in the thermal infrared images of each frame, the temperature mean value of the leakage area, the geometric center of the density cluster, the ambient temperature near the outer wall of the current frame, the ambient humidity and the height of the leakage area in the outer wall of the current frame comprises: determine a leakage intensity factor of the leakage region in the current frame after the external wall is watered according to a density cluster area of the leakage region and a temperature mean value of the leakage region; determine a first difference between the density cluster area of the leakage region in the current frame and the density cluster area of the leakage region in the previous frame, and determine a second difference mean value between the density cluster areas of all the leakage regions in adjacent two frames in the current frame; determine a leakage area diffusion degree of the leakage region in the current frame after the external wall is watered according to the first difference and the second difference mean value; determine a spread performance degree of the leakage region in the current frame according to a Euclidean distance between a geometric center position of the density cluster of the leakage region in the current frame and a geometric center position of the density cluster of the leakage region in the previous frame and the leakage area diffusion degree; determine an evaporation promotion score of the leakage region in the current frame according to an ambient temperature near the external wall in the current frame, an ambient humidity and a height of the leakage region in the external wall in the current frame; correct the spread performance degree by using the evaporation promotion score to obtain a corrected spread performance degree; determine a final penetration intensity of the leakage region in each frame based on the corrected spread performance degree of the leakage region in each frame and the leakage intensity factor of each frame.

6. The method for detecting leakage of the fabricated industrial building outer wall joint according to claim 5, characterized in that, The determination of the leakage area diffusion degree of the leakage region in the current frame after the external wall is watered according to the first difference and the second difference mean value comprises: determining the leakage area diffusion degree of the leakage region in the current frame after the external wall is watered according to a third difference between the first difference and the second difference mean value.

7. The method for detecting leakage of the fabricated industrial building outer wall joint according to claim 5, characterized in that, The determination of the evaporation promotion score of the leakage region in the current frame according to the ambient temperature near the external wall in the current frame, the ambient humidity and the height of the leakage region in the external wall in the current frame comprises: determining a product between the height of the leakage region in the external wall in the current frame and the ambient temperature; determining the evaporation promotion score of the leakage region in the current frame based on the product and the ambient humidity. 8.The method according to claim 5, wherein, The correction of the spread performance degree by using the evaporation promotion score to obtain the corrected spread performance degree comprises: determining a correction coefficient of the spread performance degree based on the evaporation promotion score; correcting the spread performance degree by using the correction coefficient to obtain the corrected spread performance degree. 9.The method according to claim 5, characterized in that, The determination of the final penetration intensity of the leakage region in each frame based on the corrected spread performance degree of the leakage region in each frame and the leakage intensity factor of each frame comprises: placing each sample point in a two-dimensional coordinate system with a time point of acquisition of a thermal infrared image of each frame as an abscissa and the corrected spread performance degree of the leakage region in each frame as an ordinate; fitting each sample point by using a curve fitting algorithm to obtain a time-series spread performance degree change curve of the leakage region; finding a turning point with a first slope being a preset value and subsequent slopes being gently a preset value on the time-series spread performance degree change curve, extracting a curve segment before the turning point as a spread period of the leakage region; determining a mean value of the corrected spread performance degree of the leakage region in the spread period. determining a final permeation intensity of the leakage area in each frame based on the mean value and the leakage intensity factor of the leakage area in each frame.

10. A prefabricated industrial building outer wall joint leakage detection device, characterized in that, The method comprises the steps of: a processor and a memory; wherein the memory is used to store a computer program which can be run on the processor; the processor is used to execute the program stored on the memory, and realize the steps of the prefabricated industrial building outer wall joint leakage detection method according to any one of claims 1-9.

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