Fabricated industrial building outer wall joint leakage detection method and device

Abstract

The invention relates to the technical field of constructional engineering detection, in particular to a prefabricated industrial building outer wall joint leakage detection method and device, and the method comprises the steps: obtaining a multi-frame thermal infrared image and a reflection signal of a high-frequency sound wave before and after water spraying of a prefabricated industrial building outer wall; the seam leakage presentation degree of any position is determined; clustering the positions according to the seam leakage presentation degree and the coordinate position of any position to obtain a plurality of density clusters; 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 and the geometric center of the density cluster, the environment temperature and the environment humidity near the outer wall of the current frame and the height of the leakage area of the current frame in the outer wall, the final permeation strength of the leakage area in each frame is determined; and taking the geometric center of each leakage area in the initial frame as a leakage point location of the leakage area. According to the invention, the accuracy of the detection result of the joint leakage detection of the building outer wall is improved.

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 an assembled industrial building outer wall joint. BACKGROUND

[0002] The assembled building outer wall is formed by prefabricated components such as prefabricated concrete, steel structure or wood structure, which are produced in a factory and then transported to the site for assembly, and is an important part of the building envelope. However, in actual application, due to factors such as inadequate quality supervision by the construction party and imperfect standardization system, the sealing of some outer wall joints is not tight, 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 often uses a combination of water spray test and infrared imaging technology. During detection, each region 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 region 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 based on the temperature difference between each region and the overall temperature in the thermal infrared image. 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 between the plaster layer, putty layer or facing layer and 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 between 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 series. The traditional method only analyzes the temperature difference between the local and overall temperatures, which cannot adapt to this characteristic, 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

[0003] 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 an assembled industrial building outer wall joint.

[0004] To solve the above technical problems, the technical solution adopted is as follows: 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.

[0005] 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 drum 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 drum temperature reflection degree and the ultrasonic leakage tendency degree.

[0006] 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.

[0007] 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.

[0008] 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 clusters of the leakage area in the current frame and 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.

[0009] 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.

[0010] 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.

[0011] 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.

[0012] 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.

[0013] 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.

[0014] 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

[0015] 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.

[0016] Figure 1 A flow chart of a prefabricated industrial building outer wall joint leakage detection method provided by an embodiment of the present application is shown in FIG. 1. Figure 2 A schematic diagram of a spread period provided by an embodiment of the present application is shown in FIG. 2. Figure 3 A structural schematic diagram of a prefabricated industrial building outer wall joint leakage detection device provided by an embodiment of the present application is shown in FIG. 3. DETAILED DESCRIPTION

[0017] 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 the prefabricated industrial building outer wall joint leakage detection method and device 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.

[0018] 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.

[0019] The actual scene to which the embodiments of the present application are directed is as follows: due to the influence of construction accuracy, the prefabricated 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 is to detect the leakage of the building outer wall by combining the water spraying test and infrared imaging. During the detection, first, the nozzles are used to spray water on each region of the building outer wall sample to be detected for a long time, then a plurality of 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 temperature difference performance of the local and overall thermal infrared images. However, due to the presence of hollow defects in the building inner wall in the actual scene, the hollow defects are easily confused with the leakage area, and the leakage phenomenon has a spread performance after water spraying, which results in insufficient analysis accuracy of the joint leakage obtained by the traditional method according to the local and overall temperature difference performance. Therefore, the present application obtains more accurate leakage analysis results by combining the distinguishing features of the leakage phenomenon and the hollow defect in the actual scene and the specific spread performance of the leakage area in multiple frames.

[0020] The specific scheme of the prefabricated industrial building outer wall joint leakage detection method provided by the present application is described in detail below in combination with the drawings.

[0021] Embodiment one: Please refer to Figure 1 which shows a flow chart of a prefabricated industrial building outer wall joint leakage detection method provided by an embodiment of the present application, including: Step S101, obtain multiple frames of thermal infrared images and high-frequency sound wave reflection signals of the prefabricated industrial building outer wall before and after water spraying.

[0022] Specifically, the embodiment of the present application can first obtain a structure distribution map of the prefabricated industrial building outer wall to be detected, and locate the positions of each joint on the prefabricated industrial building outer wall, including the window periphery, the outer wall plate joint, and the pipe wall penetrating part. Then, the prefabricated industrial building outer wall to be detected is gridded, and divided into 500 preset local areas, the total length of the joints in each local area is obtained, and if the total length of the joints in the local area accounts for a larger proportion than 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, the water spraying is performed for 10 minutes.

[0023] More specifically, after obtaining multiple local areas of the outer wall, multiple frames of thermal infrared images of each local area of the outer wall are obtained by thermal infrared imaging technology. This includes a single frame of thermal infrared image before water spraying of the prefabricated industrial building outer wall to be detected and multiple frames of thermal infrared images after water spraying, wherein infrared imaging data is collected every 10 minutes after water spraying, and a total of 24 hours of infrared data is collected after water spraying.

[0024] More specifically, the embodiment of the present application reads the reflection signals of high-frequency sound waves at each position in the initial frame of the prefabricated industrial building outer wall to be detected after water spraying by an ultrasonic detector. And the environmental humidity data and environmental temperature data near the prefabricated industrial building outer wall after water spraying are read by a temperature and humidity sensing module.

[0025] Step S102, according to the temperature of any position in the initial frame in the thermal infrared images before and after water spraying of the outer wall, and the reflection signals of any position in the initial frame after water spraying of the outer wall, determine the joint leakage degree of any position.

[0026] Specifically, the purpose of the embodiment of the present application is to locate the leakage point on the detection sample of the prefabricated industrial building outer wall and determine the leakage intensity, so for a single leakage point of the prefabricated 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 frame of 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 multiple frames of time sequence 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.

[0027] More specifically, consider that there is a large amount of moisture in the wall of the leakage area, and the presence of moisture changes the heat capacity and thermal conductivity of the material, resulting in a significant temperature difference between the leakage area and other areas in the thermal infrared image, so the thermal anomaly coefficient of each point is obtained according to the difference between the local temperature and the overall temperature; Furthermore, due to the poor adhesion of the base material in some areas of the external wall of the prefabricated industrial building, gaps exist in the inner wall, which reflect the hollow defect. The hollow defect is easily confused with the leakage area in the joint leakage detection, therefore, the present embodiment combines the temperature stability before and after water spraying and the ultrasonic detection echo intensity level to obtain the joint leakage presentation degree of each wall of the penetration point based on the thermal anomaly coefficient. Based on this, according to another embodiment of the present application, the joint leakage presentation degree of any position is determined 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, and the reflection signal of any position in the initial frame after the external wall is sprayed with water, including: determining the thermal anomaly coefficient of any position in the initial frame after the external wall is sprayed with water according to the temperature of any position in the thermal infrared image and the overall temperature average of the thermal infrared image of the initial frame; determining the hollow temperature reflection degree 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 the external wall is sprayed with water and the thermal infrared image after the external wall is sprayed with water, and the thermal anomaly coefficient; determining the ultrasonic leakage trend degree of any position 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; determining the joint leakage presentation degree of any position based on the hollow temperature reflection degree and the ultrasonic leakage trend degree.

[0028] 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 appears as a local low temperature area (cold spot) in the thermal infrared image. Therefore, the present embodiment 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 , and the overall temperature average of the initial frame infrared image after water spraying is also obtained . Furthermore, according to another embodiment of the present application, the thermal anomaly coefficient of any position in the initial frame after the external wall is sprayed with water is determined according to the temperature of any position in the thermal infrared image and the overall temperature average of the thermal infrared image of the initial frame, including: determining the thermal anomaly coefficient according to the absolute value of the temperature difference between the temperature of any position in the thermal infrared image and the overall temperature average of the thermal infrared image of the initial frame.

[0029] More specifically, the present embodiment 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: represents the thermal abnormality coefficient of the current analysis point in the initial frame after the water spraying of the external wall of the fabricated industrial building. represents the temperature of the current analysis point in the initial frame after the water spraying of the external wall of the fabricated industrial building. represents the temperature of the current analysis point in the initial frame after the water spraying of the external wall of the fabricated industrial building. represents the overall temperature mean value of the thermal infrared image of the initial frame after the water spraying of the external wall of the fabricated industrial building. represents the normalized function. The greater the temperature difference between the local temperature of the current analysis point and the overall temperature of the building external wall indicates the greater thermal abnormality of the analysis point.

[0030] More specifically, due to the construction process precision of the external wall of the fabricated industrial building, there may be a hollow defect in the internal wall, which is a closed gap in the internal wall, and the hollow defect and the leakage area both show temperature abnormalities in 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 . Then, the hollow temperature reflection degree of any position in the initial frame after water spraying of the external wall is calculated by the following formula: represents the hollow temperature reflection degree of any position in the initial frame after water spraying of the external wall. represents the hollow temperature reflection degree of any position in the initial frame after water spraying of the external 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 spraying of the external wall of the fabricated industrial building. The greater the thermal abnormality coefficient of the current analysis point, and the lower the temperature deviation level of the point before and after water spraying, the greater the possibility that the analysis point is in the hollow defect area.

[0031] 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 similar to the incident wave. Therefore, the intensity value of the reflection signal of the current analysis point in the initial frame after water spraying of the building external wall is obtained , and the phase angle between the reflection wave and the incident wave of the point is obtained ​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.

[0032] Specifically, the ultrasonic leakage tendency degree is calculated according to the following formula in the embodiment of the present application: 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.

[0033] 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: 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.

[0034] 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.

[0035] 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.

[0036] In the above formula,

[0037] ​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.

[0038] 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.

[0039] 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 leakage area will present a spreading performance in the subsequent multiple frames. 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.

[0040] 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.

[0041] 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: 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.

[0042] 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 the mean value of the density cluster area difference of all leakage areas between two adjacent frames It is worth noting that the two leakage areas with the highest overlap ratio in the two adjacent frames are regarded as the same leakage area. Furthermore, according to another embodiment of the present application, the determination of the leakage area diffusion 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 diffusion 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.

[0043] Specifically, the present application calculates the leakage area diffusion degree of the leakage area by the following formula: In the above formula, represents the leakage area diffusion 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 between two adjacent frames. represents a normalization function. If the area difference of the leakage area being analyzed in the current frame compared with the leakage area in the previous acquisition frame is larger, it means that the diffusion rate of the water involved area of the leakage area in the frame is faster.

[0044] More specifically, the present application respectively obtains the geometric center positions of the corresponding density clusters of the leakage area being analyzed 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 leakage area in the current analysis frame by the following formula : In the above formula, represents the spreading performance of the current leakage area in the current analysis frame. represents the leakage area diffusion degree of the leakage area. represents the Euclidean distance between the geometric center position of the leakage area being analyzed 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 diffusion degree of the leakage area being analyzed in the current frame is larger, and the leakage position offset compared with the previous acquisition frame is larger, it means that the leakage spreading performance of the leakage area in the current frame is stronger.

[0045] More specifically, when a prolonged period of time has passed since the leak occurred, the amount of leaked water is relatively small, and water evaporation is enhanced. This is reflected in a gradual weakening of the spread of the leaked water. Ambient temperature and humidity affect water evaporation, leading to analytical errors. Since ambient temperature and humidity may vary at different times, the spread may be weaker at certain moments due to higher temperatures and lower humidity, resulting in an underestimation of the spread intensity and consequently, an underestimation of the leakage intensity. Therefore, this embodiment of the invention obtains the ambient temperature near the exterior wall of the prefabricated industrial building at the current analysis frame. and humidity And obtain the height of the current leakage area in the exterior wall of the prefabricated industrial building. According to another embodiment of the present invention, determining the evaporation-promoting fraction of the leakage area in the current frame based on the ambient temperature and humidity near the outer wall of the current frame and the height of the leakage area in the outer wall of the current frame includes: determining the product between the height of the leakage area in the outer wall of the current frame and the ambient temperature; and determining the evaporation-promoting fraction of the leakage area in the current frame based on the product and the ambient humidity.

[0046] Specifically, in this embodiment of the invention, the evaporation promotion score of the leakage area in the current frame is calculated using the following formula: In the above formula, This indicates the evaporation promotion score of the leakage area in the current frame. This indicates the height of the current leakage area within the exterior wall of the prefabricated industrial building. This indicates the ambient temperature near the exterior wall of the prefabricated industrial building at the time of the current analysis frame. This indicates the ambient humidity near the exterior wall of the prefabricated industrial building at the time of the current analysis frame. Higher real-time ambient temperature and lower humidity in the current analysis frame indicate that these factors are more likely to exacerbate the evaporation of leaked moisture. Furthermore, the higher the location of the leaking area within the building's exterior wall, the greater the impact of ambient temperature and humidity.

[0047] More specifically, if the evaporation promotion score of the leakage area is higher in the current analysis frame, it will exacerbate the evaporation performance of the real-time leakage water, causing the leakage spread intensity to be underestimated. Therefore, the spread performance is corrected by the evaporation promotion score. Based on this, according to another embodiment of the present invention, the correction of the spread performance using the evaporation promotion score to obtain the corrected spread performance includes: determining a correction coefficient for the spread performance based on the evaporation promotion score; and correcting the spread performance using the correction coefficient to obtain the corrected spread performance.

[0048] Specifically, in this embodiment of the invention, the corrected spread performance is calculated using the following formula: In the above formula, This indicates the degree of correction for the spread of the virus. This indicates the evaporation promotion score of the leakage area in the current frame. This indicates the extent to which the current leakage area spreads in the current analysis frame. This represents the hyperbolic tangent function.

[0049] More specifically, according to another embodiment of the present invention, 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 in each frame includes: placing each sample point in a two-dimensional coordinate system with the acquisition time of the thermal infrared image in each frame as the abscissa and the corrected spread performance of the leakage area in each frame as the ordinate; fitting each sample point using a curve fitting algorithm to obtain a temporal spread performance change curve of the leakage area; finding the first inflection point with a preset slope and subsequent slopes all being flat at a preset value in the temporal spread performance change curve, and extracting the curve segment before the inflection point as the spread period of the leakage area; determining the mean of the corrected spread performance of the leakage area during the spread period; and determining the final penetration intensity of the leakage area in each frame based on the mean and the leakage intensity factor of the leakage area in each frame.

[0050] For example, such as Figure 2 As shown, Figure 2 This is a schematic diagram of a propagation period provided in one embodiment of the present invention. Figure 2 In this embodiment of the invention, for the currently analyzed leakage area, the acquisition time of each frame of thermal infrared image after water spraying on the building exterior wall is used as the horizontal axis, and the corrected spread performance of the leakage area in each frame is used as the vertical axis. Each sample point is placed in a two-dimensional coordinate system, and the sample points are fitted by a curve fitting algorithm to obtain the temporal spread performance change curve of the currently analyzed leakage area. The first inflection point with a slope of 0 and subsequent slopes of 0 is found in the temporal spread performance change curve. The curve segment before the inflection point is extracted and recorded as the spread period of the leakage area.

[0051] More specifically, in this embodiment of the invention, the mean value of the corrected spread performance of the current leakage area during the corresponding spread period is calculated. The final leakage intensity of the currently analyzed leakage area is calculated using the following formula. : In the above formula, This indicates the final leakage intensity of the leakage area currently being analyzed. This is the leakage intensity factor of the leakage area currently being analyzed in the current frame after water is sprayed onto the exterior wall of a prefabricated industrial building. This represents the mean of the corrected spread performance of the current leakage area during the corresponding spread period. If the leakage intensity factor of the currently analyzed leakage area... The larger the value, and the higher the corrected spread performance of the leakage area during the spread period, the greater the final leakage intensity of the leakage area.

[0052] Similarly, the final leakage intensity of each leakage area in each frame of thermal infrared image after water spraying is calculated and recorded.

[0053] More specifically, the embodiments of the present invention determine the final leakage intensity of each leakage area in each frame of thermal infrared image through the above steps. Then, for a single leakage area, since the leakage area shifts due to the spread phenomenon after water spraying, the geometric center of the leakage area in the first frame after water spraying is the most accurate as the leakage point of the leakage area, thereby obtaining the leakage intensity and precise leakage point of each leakage area.

[0054] More specifically, in this embodiment of the invention, the identified leakage points are verified endoscopically. After drilling, the internal water seepage is observed to confirm whether it is the actual leakage source. Then, the failed sealant, grout, and debris at the joint are removed, and the area is rinsed with a high-pressure water gun and dried to ensure the base layer is dry and drain any accumulated water from the joint to avoid moisture interference during subsequent construction. The damaged base layer is then leveled with cement mortar or polymer repair mortar to ensure a smooth interface. Finally, waterproof sealant (such as silicone sealant or polyurethane) is injected through a pre-set grouting pipe to fill the gaps. A water spray test (pressure 0.3~0.5MPa, duration ≥2h) is conducted within 72 hours after repair, and infrared thermal imaging is used to verify that there is no leakage.

[0055] This invention first integrates thermal infrared temperature data with high-frequency acoustic wave reflection signals. By comparing temperature changes before and after water spraying at any location, and combining this with the acoustic wave reflection characteristics of the initial frame after water spraying, the degree of joint leakage is determined from a dual-dimensional perspective. In hollow areas, due to air obstruction, the acoustic wave reflection signal is more regular, while in leaking areas, the presence of moisture causes signal attenuation or scattering. This effectively clarifies the differences between the two types of defects and significantly reduces the false positive rate. Furthermore, this invention uses leakage prevalence and coordinate location to perform density clustering, automatically aggregating similar feature points to form density clusters, each cluster corresponding to an independent leakage area. Whether it's scattered small leakage points or continuous leakage areas, the boundaries can be accurately defined, clearly showing the distribution pattern and providing a reliable basis for causal analysis. Moreover, this invention combines multi-frame time-series data, comprehensively considering regional characteristics such as density cluster area and average temperature, as well as external factors such as environmental temperature and humidity and area height, to dynamically calculate the penetration intensity of the penetration area in each frame. This reflects both the severity of leakage and the trend of range expansion, improving the accuracy of joint leakage detection results for building exterior walls and meeting the requirements for precise detection.

[0056] Furthermore, by conducting water spray tests on building exterior wall samples and acquiring single-frame and multi-frame thermal imaging images before and after water spraying, the hollow temperature response was obtained from the single-frame post-spray thermal imaging image based on the temperature difference between individual points and the overall temperature and the pre-spray temperature. This was then combined with ultrasonic echo signal intensity analysis to determine the joint leakage intensity. Density clustering was then performed on the location and joint leakage intensity of points in the single-frame image to identify leakage areas. The leakage intensity factor of each leakage area was then obtained based on its thermal characteristics and area range. Simultaneously, the area diffusion and leakage center of the leakage area in the multi-frame images were analyzed. The offset representation yields the spread performance of each leakage area in each frame, and the spread performance is corrected by the environmental temperature and humidity and the height of the leakage area. Then, a temporal spread performance change curve is constructed. Based on the curve and the leakage intensity factor, the final leakage intensity of the leakage area is obtained. The geometric center of the initial frame area after water spraying is selected as the precise leakage point. Compared with traditional methods, this invention can combine the distinguishing features of leakage phenomena and hollow defects in actual scenarios and the specific spread of leakage areas to obtain joint leakage analysis results with higher adaptability, thus improving the detection accuracy of seepage in the joints of prefabricated building exterior walls.

[0057] Example 2: Corresponding to the above-described method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings, based on the same technical concept, this invention also provides a device for detecting leakage at joints in the exterior walls of prefabricated industrial buildings. This device is used to perform the above-described method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings. Figure 3 To illustrate the structural diagram of another prefabricated industrial building exterior wall joint leakage detection device according to various embodiments of the present invention, as shown below. Figure 3 As shown at the hardware level, the prefabricated industrial building exterior wall joint leakage detection device includes a processor, and optionally, an internal bus, a network interface, and memory. The memory may include RAM, such as high-speed random-access memory (RAM), or non-volatile memory, such as at least one disk drive. Of course, this prefabricated industrial building exterior wall joint leakage detection device may also include other hardware required for its operation.

[0058] The processor, network interface, and memory can be interconnected via an 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. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, this diagram uses only a single bidirectional arrow, but it does not imply that there is only one bus or one type of bus.

[0059] Memory is used to store programs. Specifically, programs can include program code, which includes computer operation commands. Memory can include main memory and non-volatile memory, and it provides instructions and data to the processor.

[0060] The processor reads the corresponding computer program from non-volatile memory into main memory and then executes it, forming a device at the logical level that locates the specified user. The processor executes the program stored in memory and specifically performs the following: Figure 1 The methods disclosed in the embodiments shown achieve the functions and beneficial effects of the methods in the preceding method embodiments, and will not be repeated here.

[0061] It should be noted that the prefabricated industrial building exterior wall joint leakage detection device provided in this embodiment of the invention and the prefabricated industrial building exterior wall joint leakage detection method provided in this embodiment of the invention are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned prefabricated industrial building exterior wall joint leakage detection method, and has the same or similar beneficial effects. Repeated parts will not be repeated.

[0062] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0063] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings, characterized in that, The method for detecting leakage at the joints of exterior walls in prefabricated industrial buildings includes: Acquire multiple frames of thermal infrared images and high-frequency sound wave reflection signals of the exterior walls of prefabricated industrial buildings before and after water spraying. Based on the temperature of any position in the thermal infrared images of the exterior wall before and after water spraying in the initial frame, and the reflection signal of any position in the initial frame after water spraying, the degree of joint leakage at the arbitrary position is determined. Based on the degree of leakage at any given location and the coordinate position, each location is clustered to obtain multiple density clusters, with each density cluster corresponding to a leakage area. Based on the density cluster area of ​​the leakage area in each frame of the thermal infrared image, the average temperature of the leakage area, the geometric center of the density cluster, the ambient temperature and humidity near the outer wall in the current frame, and the height of the leakage area in the outer wall in 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.

2. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings according to claim 1, characterized in that, The determination of the joint leakage intensity at any arbitrary location based on the temperature in the thermal infrared images of the exterior wall before and after water spraying at any location in the initial frame, and the reflection signal at any location in the initial frame after water spraying, includes: Based on the temperature at any position in the thermal infrared image of the initial frame and the overall average temperature of the thermal infrared image of the initial frame, the thermal anomaly coefficient at any position in the initial frame after the exterior wall is sprayed with water is determined. Based on the absolute value of the temperature difference between the thermal infrared image of any position on the exterior wall before and after water spraying in the initial frame and the thermal anomaly coefficient, the hollow temperature response of any position on the exterior wall in the initial frame after water spraying is determined. The ultrasonic leakage tendency at any location is determined based on the intensity value of the reflected signal at any position in the initial frame after water spraying on the exterior wall and the phase angle between the reflected wave and the incident wave. Based on the hollow temperature response and the ultrasonic leakage tendency, the degree of leakage at any joint location is determined.

3. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings according to claim 2, characterized in that, The step of determining the thermal anomaly coefficient at any position in the initial frame after the exterior wall is sprayed with water, based on the temperature at any position in the thermal infrared image within the initial frame and the overall average temperature of the thermal infrared image of the initial frame, includes: The thermal anomaly coefficient is determined based on the absolute value of the temperature difference between the temperature at any position in the initial frame in the thermal infrared image and the overall average temperature of the thermal infrared image of the initial frame.

4. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings according to claim 2, characterized in that, The determination of the ultrasonic leakage tendency at any location based on the intensity value of the reflected signal at any location in the initial frame after water spraying on the exterior wall and the phase angle between the reflected wave and the incident wave includes: The ultrasonic leakage tendency is determined by multiplying the reciprocal of the intensity value of the reflected signal with the reciprocal of the phase angle between the reflected wave and the incident wave.

5. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings according to any one of claims 1-4, characterized in that, The determination of the final penetration intensity of the leakage area in each frame, based on the density cluster area of ​​the leakage area in the thermal infrared image of each frame, the average temperature of the leakage area, the geometric center of the density cluster, the ambient temperature and humidity near the outer wall in the current frame, and the height of the leakage area in the outer wall in the current frame, includes: Based on the density cluster area of ​​the leakage area and the average temperature of the leakage area, determine the leakage intensity factor of the leakage area in the current frame after water spraying on the exterior wall. The average of the 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 the second difference between the density cluster areas of all leakage regions in the current frame and the corresponding density cluster areas in two adjacent frames. Based on the average of the first difference and the second difference, the diffusion degree of the leakage area in the current frame after the exterior wall is water-sprayed is determined; The spread performance of the leakage area in the current frame is determined based on the Euclidean distance between the geometric center of the density cluster in the current frame and the geometric center of the density cluster in the previous frame, and the diffusion degree of the leakage area. Based on the ambient temperature and humidity near the outer wall of the current frame and the height of the leakage area in the outer wall of the current frame, the evaporation promotion fraction of the leakage area in the current frame is determined. The spread performance is corrected by using the evaporation-promoting fraction to obtain the corrected spread performance. Based on the corrected spread performance of the leakage area in each frame and the leakage intensity factor in each frame, the final penetration intensity of the leakage area in each frame is determined.

6. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings according to claim 5, characterized in that, The step of determining the diffusion degree of the leakage area in the current frame after the exterior wall is water-sprayed, based on the average of the first difference and the second difference, includes: The diffusion degree of the leakage area in the current frame after the exterior wall is sprayed with water is determined based on the third difference between the first difference and the average of the second difference.

7. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings according to claim 5, characterized in that, The step of determining the evaporation-promoting fraction of the leakage area in the current frame based on the ambient temperature and humidity near the exterior wall and the height of the leakage area in the exterior wall in the current frame includes: Determine the product between the height of the leakage area in the current frame within the exterior wall 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.

8. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings according to claim 5, characterized in that, The step of using the evaporation-promoting fraction to correct the spread performance to obtain the corrected spread performance includes: The correction factor for the spread performance is determined based on the evaporation-promoting fraction; The spread performance is corrected using the correction coefficient to obtain the corrected spread performance.

9. The method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings 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 of the leakage region in each frame and the leakage intensity factor in each frame, includes: Using the acquisition time of each frame of thermal infrared image as the horizontal axis and the corrected spread performance of the leakage area in each frame as the vertical axis, each sample point is placed in a two-dimensional coordinate system. The temporal spread performance change curve of the leakage area is obtained by fitting each of the sample points using a curve fitting algorithm. Find the first inflection point in the temporal spread performance change curve where the slope is a preset value and the subsequent slopes are all flat and also a preset value. Extract the curve segment before the inflection point as the spread period of the leakage area. Determine the mean of the corrected spread performance of the leakage area during the spread period; Based on the mean and the leakage intensity factor of the leakage area in each frame, the final penetration intensity of the leakage area in each frame is determined.

10. A device for detecting leakage at joints in the exterior walls of prefabricated industrial buildings, characterized in that, include: Processor and memory; wherein the memory is used to store computer programs that can run on the processor; A processor is used to execute a program stored in memory to implement the steps of the method for detecting leakage at joints in the exterior walls of prefabricated industrial buildings as described in any one of claims 1-9.

Images