External facade thermal insulation layer quality inspection technology

Abstract

The invention discloses a quality inspection technology for an exterior facade thermal insulation layer. The quality inspection technology comprises the following steps: acquiring an overall drawing of the exterior facade thermal insulation layer detected by an infrared detection device; according to the overall graph, a suspected area and the position of a heat preservation nail are determined, and the surface layer of the heat preservation nail is coated with metal powder; judging whether the suspected region is a defective region or not, and removing a non-defective region; acquiring an ultrasonic image according to the position of the heat-insulating nail and the position of the defect area, and determining the property of the defect area; the quality of the external facade is evaluated by combining the results obtained in the step S3 and the step S4; the two parts are combined for use, and respective advantages are fully utilized, so that comprehensive and deep detection of the internal defects of the thermal insulation layer is realized, and the accuracy and reliability of defect detection are greatly improved.

Description

Technical Field

[0001] The invention relates to the field of wall facade detection, and in particular to a quality inspection technology for a facade insulation layer. Background Art

[0002] In the middle of the 20th century, thermal insulation materials began to be used in building exterior walls. The inspection technology at that time mainly relied on visual observation and simple physical tests, such as the presence of cracks, flatness, and visual effects. There was a lack of systematic detection methods, and it was difficult to find problems inside the insulation layer. Demolition inspection has developed on the basis of surface inspection. According to the inspection plan, with the help of tools such as hanging baskets, the wall surface is cut and disassembled in the selected area. After demolition, the thickness, density, joint condition of the insulation layer and the combination with the base wall can be observed. However, this method has the following disadvantages: First, it is destructive to a certain extent, which will cause a certain degree of structural damage and may affect the waterproofing, thermal insulation and other properties of the building; second, it is costly and dangerous, and it is necessary to set up a hanging basket and arrange special personnel for inspection, and there may be falling objects during the inspection; third, it is highly localized, and the inspection can only randomly demolish a small area, which may not be able to fully understand the condition of the entire exterior wall insulation system, and there is a risk of information asymmetry.

[0003] All objects above absolute zero can emit infrared radiation. Infrared thermal imaging technology generates infrared images to distinguish objects by capturing the intensity of their infrared radiation. An important measure of an object's ability to emit infrared radiation is emissivity. The determining factors of emissivity include material properties, surface characteristics, temperature, glossiness, wavelength dependence, etc. External facade insulation detection technology is mainly applied to the two influencing factors of material properties and temperature. In terms of material properties, the emissivity of different materials is roughly as follows: concrete: about 0.8-0.95; cement foam board: about 0.8-0.9; plastic: about 0.8-0.95; stainless steel: about 0.1

[0004] -0.2; water: about 0.96-0.98 (at room temperature); air: theoretically 0. When the emissivity difference between different materials is above 0.1, the infrared thermal imaging system can usually distinguish the difference between the materials more clearly. However, in order to obtain the best effect, other factors (such as temperature, background and equipment accuracy) also need to be considered comprehensively. Therefore, in order to clearly distinguish the materials, the greater the difference in emissivity, the easier it is to distinguish. Summary of the invention

[0005] The invention overcomes the deficiencies of the prior art and provides a technology for inspecting the quality of an exterior facade thermal insulation layer.

[0006] To achieve the above object, the technical solution adopted by the present invention is: a quality inspection technology for the facade insulation layer, comprising the following steps:

[0007] S1: Obtaining an overall picture of the facade insulation layer detected by an infrared detection device;

[0008] S2: According to the overall picture, determine the suspected area and the location of the insulation nails, where the surface of the insulation nails is coated with metal powder;

[0009] S3: Determine whether the suspected area is a defect area, and remove the non-defect area;

[0010] S4: Acquire an ultrasonic image according to the position of the insulation nail and the position of the defect area to determine the nature of the defect area;

[0011] S5: Combine the results obtained in S3 and S4 to evaluate the quality of the facade.

[0012] In a preferred embodiment of the present invention, in S1, the overall diagram is a temperature distribution diagram formed by real-time capturing and displaying the infrared radiation image of the surface of the thermal insulation layer by an infrared detection device.

[0013] In a preferred embodiment of the present invention, the temperature distribution Figure 1 The temperature value is set on the side and mapped to the overall picture through the difference between colors, showing the temperature difference in each area of ​​the insulation layer.

[0014] In a preferred embodiment of the present invention, in S2, the suspected area is specifically a portion that has a significant difference in color from the surrounding area in the overall image of the facade insulation layer.

[0015] In a preferred embodiment of the present invention, in S2, the position of the insulation nail is specifically circular and has a portion with a significantly different color from the surrounding area in the overall view of the facade insulation layer.

[0016] In a preferred embodiment of the present invention, in S3, the judgment of the suspected area is specifically made by judging the temperature change within 1-15 days on the overall diagram of the facade insulation layer to eliminate the interference of environmental factors.

[0017] In a preferred embodiment of the present invention, in S3, when judging the suspected area, different detection times of the temperature on the overall diagram of the facade insulation layer are set under different influencing factors to improve the detection accuracy.

[0018] In a preferred embodiment of the present invention, in S4, obtaining an ultrasonic image is specifically as follows: placing an ultrasonic probe at the suspected defect area and the insulation nail position, and sending an ultrasonic signal. The ultrasonic signal will propagate inside the object, and will be reflected and transmitted when encountering different medium interfaces. The reflected ultrasonic signal is received and converted into a visual ultrasonic image through a signal processing module inside the device.

[0019] In a preferred embodiment of the present invention, in S4, the determination of the nature of the defective region is specifically as follows:

[0020] A1: In the ultrasonic image, identify all obvious reflection signals and compare the position of each reflection signal with the known position of the insulation nails and the suspected defect area;

[0021] A2: If the position of the reflected signal is close to the position of the insulation nail, it is preliminarily determined that the reflected signal is caused by the insulation nail;

[0022] A3: If the location of the reflected signal matches the suspected defect area, the defect is confirmed, and the intensity, shape and distribution of the reflected signal here are further analyzed to obtain the defect type.

[0023] In a preferred embodiment of the present invention, in S5, the quality of the facade is evaluated by combining infrared detection and ultrasonic detection to determine the type and size of the defective area and evaluate its severity.

[0024] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0025] (1) The present invention provides a quality inspection technology for facade insulation layers. By combining infrared detection and ultrasonic detection, potential defects inside the insulation layer are revealed from different angles. Infrared detection measures the temperature distribution on the surface or shallow layer of an object and captures the temperature distribution difference to preliminarily identify suspected defective areas. Ultrasonic detection uses the reflection, scattering and transmission characteristics of high-frequency sound waves when propagating in materials to detect internal defects and accurately locate and evaluate the position, shape and size of the defects. In this way, the two are combined to fully utilize their respective advantages to achieve comprehensive and in-depth detection of defects inside the insulation layer, greatly improving the accuracy and reliability of defect detection.

[0026] (2) The present invention provides a quality inspection technology for the facade insulation layer. The preliminary information provided by infrared detection can serve as a guide for ultrasonic detection, helping to locate more specific inspection areas, thereby reducing unnecessary ultrasonic scanning and improving efficiency. The accurate description of defects by ultrasonic detection can verify and refine the results of infrared detection and eliminate possible false alarms or missed alarms. By combining the two, they can verify each other and form a more accurate and reliable defect detection report. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 is a detection flow chart of a preferred embodiment of the present invention;

[0029] Figure 2 It is an overall view of a partial facade insulation layer of a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0032] As shown in the figure, a quality inspection technology for the facade insulation layer includes the following steps:

[0033] S1: Obtaining an overall picture of the facade insulation layer detected by an infrared detection device;

[0034] S2: According to the overall picture, determine the suspected area and the location of the insulation nails, where the surface of the insulation nails is coated with metal powder;

[0035] S3: Determine whether the suspected area is a defect area, and remove the non-defect area;

[0036] S4: Acquire an ultrasonic image according to the position of the insulation nail and the position of the defect area to determine the nature of the defect area;

[0037] S5: Combine the results obtained in S3 and S4 to evaluate the quality of the facade.

[0038] Obtaining an overall picture of the facade insulation layer detected by an infrared detection device;

[0039] It should be noted that the infrared detection device uses a high-resolution infrared thermal imager, which works by detecting infrared radiation emitted from the surface of an object. All objects, as long as their temperature is above absolute zero, will emit infrared radiation. The sensor of the infrared thermal imager can receive these radiations and convert them into visible images. Different colors or grayscale levels in the image represent different temperatures. In order to avoid interference of solar radiation on the infrared image, the scanning is carried out in the time period of the day when the temperature is relatively stable and the solar radiation is weak, that is, the early morning or evening time period. In this way, the true temperature distribution on the surface of the insulation layer can be captured more accurately. The use of a high-resolution infrared imager helps to capture more subtle temperature changes. Then, the infrared thermal imager is aimed at the facade insulation layer for a comprehensive scan. The thermal imager can capture and display the infrared radiation image of the surface of the insulation layer in real time, that is, the temperature distribution map, such as Figure 2 Shown is the overall picture under infrared detection.

[0040] The temperature distribution map is a visual representation of the infrared radiation on the surface of the facade insulation layer captured and displayed in real time by an infrared thermal imager. The temperature distribution map shows the temperature differences in various areas of the insulation layer in the form of differences between colors. In most infrared thermal imagers, temperature differences are represented by different colors. These colors are part of a color spectrum, ranging from cold tones (i.e., blue shown in the picture) to warm tones (i.e., red and orange in the picture), representing the change from low temperature to high temperature. The temperature distribution map shows a temperature range to cover the expected surface temperature of the insulation layer. The thermal imager will measure and display the temperature values ​​of each point within this range and map them to color or grayscale.

[0041] In the temperature distribution map, abnormal areas (i.e. thermal bridges or insulation system defects) are displayed with their unique color or grayscale, which contrasts with the surrounding areas. These abnormal areas usually have higher temperatures (shown as warmer colors or lighter grayscale) or lower temperatures (shown as cooler colors or darker grayscale), depending on how they affect the surface temperature of the insulation layer.

[0042] The infrared thermal imager then converts the received infrared radiation data into visible image files through the built-in processor, usually in digital image format (i.e. JPEG, PNG or proprietary format). These image files record the temperature distribution information on the surface of the insulation layer.

[0043] According to the overall picture, the suspected area and the location of the insulation nails are determined, where the surface of the insulation nails is coated with metal powder;

[0044] It should be noted that in the temperature distribution map obtained by the infrared detection device, the suspected area is usually shown as an area with a significant difference in temperature distribution from the surrounding normal area. Specifically, the temperature distribution of the abnormal area is in sharp contrast with that of the surrounding area, for example Figure 2 In the case of Figure 2 If there are several dots and linear parts with obvious differences in color from the surrounding areas, then this part is a suspected area, which is suspected to represent the thermal bridge effect in the insulation system, that is, heat is quickly transferred through certain paths (such as metal structures in the wall, gaps that are not completely insulated, etc.), causing the temperature of these areas to be higher or lower than the surrounding areas, and defects in the insulation layer (such as damage, shedding, or uneven materials, etc.) can also cause abnormal temperature distribution. These defects will change the thermal resistance of the insulation layer, thereby affecting the transfer and distribution of heat.

[0045] In the temperature distribution map obtained by the infrared detection device, the suspected area is those areas with significant differences in temperature distribution from the surrounding normal areas. These differences are usually manifested as obvious changes in color or grayscale. The suspected area forms a sharp color or grayscale contrast with the surrounding areas in the image. For example, if the surrounding area is mainly uniform blue or green (representing a lower temperature), the suspected area may appear red or yellow (representing a higher temperature). Figure 2 In the figure, several dots and linear parts with obvious differences in color from the surrounding areas are typical examples of suspicious areas. The thermal bridge effect is a path for rapid heat transfer in the wall, usually composed of metal structures (such as steel bars, metal pipes, etc.) or gaps that are not fully insulated. Figure 2 If some dots or lines correspond to metal structures in the wall and show a large difference in color, they may represent thermal bridges. These thermal bridges will cause heat to be lost quickly through these paths, thereby reducing the overall efficiency of the insulation layer. Defects in the insulation layer, such as breakage, shedding, or uneven materials, can also cause abnormal temperature distribution. Figure 2 If certain areas show a temperature distribution that is very different from the surrounding areas (for example, a block is unusually cold or hot), they may represent defects in the insulation layer. These defects will change the thermal resistance of the insulation layer, thus affecting the transfer and distribution of heat. Figure 2This is a temperature distribution map obtained by an infrared detection device, which shows a part of the external wall of a multi-story building. In the image, we can observe several dots and linear parts that are obviously different in color from the surrounding area. If a dot is located on the wall around the window and shows a higher temperature than the surrounding area, it may represent a thermal bridge effect. This thermal bridge may be composed of the metal part of the window frame, which allows heat to be quickly transferred from indoors to outdoors. If a linear part extends along a certain direction of the wall and shows a different temperature distribution from the surrounding area (for example, colder or hotter), it may represent an insulation layer defect. This defect may be caused by negligence during construction (such as incompletely filled gaps) or material problems (such as unevenly distributed insulation materials).

[0046] Insulation nails are usually used to fix the insulation layer. The surface is coated with metal powder to improve its thermal conductivity. Based on the traditional insulation nails, the tail plastic fixing disk of the insulation nail is pasted with metal film or coated with metal powder to change its characteristics. The tail of the traditional insulation nail is a plastic disk. The emissivity of plastic is close to that of the insulation board, which is difficult to distinguish by infrared thermal imagers. The insulation nail changes the properties of the tail fixing disk into metal in the infrared image. Figure 2 In the middle circle and the surrounding color abnormality positions, the insulation nails will show different temperature distribution characteristics from the surrounding insulation layer due to the thermal conductivity of their metal surface. Specifically, the position of the insulation nails may be displayed in a brighter color or grayscale in the image, because the thermal conductivity of the metal surface makes the temperature difference between the insulation nails and the surrounding environment more significant. By identifying the position of the insulation nails in the infrared image, the inspector can provide accurate positioning basis for subsequent ultrasonic testing. Ultrasonic testing is a commonly used non-destructive testing method that can be used to evaluate defects inside the insulation layer. During ultrasonic testing, the inspector will scan the suspected defect area according to the location of the insulation nails to obtain more detailed internal structure information.

[0047] In order to solve this problem, the surface is coated with metal powder to improve its thermal conductivity. Based on the traditional insulation nail, the plastic fixing plate at the tail is pasted with metal film or coated with metal powder to change its characteristics. This change changes the nature of the tail of the insulation nail from non-metal to metal, so that it presents completely different characteristics from the surrounding insulation layer in infrared thermal imaging. Due to its higher thermal conductivity, metal absorbs and transfers heat faster. Therefore, in the infrared image, the location of the insulation nail will show a temperature distribution feature that is more significantly different from the surrounding ambient temperature. Specifically, when using an infrared thermal imager to scan the surface of a building, the location of the insulation nail may be displayed in a brighter color or a higher grayscale value. This is because the thermal conductivity of the metal surface causes the temperature of this area to be significantly different from the temperature of the surrounding insulation layer.

[0048] For example, Figure 2 In the infrared image, some circular bright spots or high grayscale areas will be found, some of which are the locations of the insulation nails. Since the metal surface of the insulation nails has good thermal conductivity, they show different temperature distribution characteristics from the surrounding insulation layer in the image, making them easy to identify, while the other part is the suspected area. Next, the inspectors can use the locations of the insulation nails that are clearly visible in the infrared image as the basis for positioning and conduct subsequent ultrasonic testing. Ultrasonic testing is a non-destructive testing method that can evaluate the defects inside the object by emitting ultrasonic waves into the inside of the object being tested and receiving the reflected signals. In ultrasonic testing, the inspectors will conduct targeted scans in the suspected defective areas based on the location of the insulation nails. For example, if the infrared image around a certain insulation nail is found to show abnormal temperature distribution, the inspectors can perform ultrasonic scanning in the area to further confirm whether there is insulation shedding, cavities or other internal defects.

[0049] Determine whether the suspected area is a defect area and remove the non-defect area;

[0050] It should be noted that in step S3, the first thing to do is to compare the temperature. Specifically, the temperature of the suspected area is carefully compared with the temperature of the surrounding normal area. If the temperature difference between the two is significant and this difference persists for a period of time, then this indicates that there may be some defects in the area, such as Figure 2 In the overall picture of the facade insulation layer, there will be obvious temperature differences between several locations and the surrounding locations during the inspection. This difference may be caused by the thermal bridge effect, the insulation nails, or the damage to the insulation layer. When conducting the inspection, observe whether the obvious difference persists for a period of time, and then remove the areas that are obviously determined to be non-defective areas.

[0051] The persistence of temperature differences is an important basis for judging whether they are caused by defects. Short-term temperature fluctuations can be caused by many factors, such as direct sunlight, wind direction changes, human activities, etc., while continuous temperature differences are more likely to reflect a stable physical phenomenon, such as insulation damage or thermal bridge effects.

[0052] Long-term data collection and analysis can help eliminate the impact of these short-term fluctuations, thereby more accurately determining whether the temperature difference is caused by a defect. In addition, long-term data can also help us understand the changing trend of the temperature difference and further confirm whether it is caused by a defect.

[0053] exist Figure 2During the inspection process, if the temperature difference in the suspected area appears during a certain period of the day (such as when the sun is shining directly), but disappears during other periods of time, then this difference may be a short-term fluctuation caused by direct sunlight. However, if the temperature difference in the area is found to persist for days, weeks or even months during the inspection process, and is consistent with the temperature difference in the surrounding normal areas, then this difference is considered to be caused by defects such as insulation damage or thermal bridge effect.

[0054] by Figure 2 Taking the overall picture of the facade insulation layer in the figure as an example, when conducting the test, we may find that the temperature of several locations is significantly different from that of the surrounding locations. Figure 2 There are obvious differences in color in the test. These differences may be caused by thermal bridge effects, insulation nails or insulation damage. In order to determine whether these differences are caused by defects, I need to collect temperature changes within any 24-48 hours during the inspection process. If the difference persists and other possible interference factors (such as environmental factors) are excluded, then it can be preliminarily determined that there is a defect in the area.

[0055] When comparing temperatures, it is important to consider the impact of ambient temperature changes and seasonal changes on temperature measurements. This is because both ambient temperature and seasonal changes can cause the overall temperature of a device or structure to fluctuate. Therefore, in order to accurately determine whether the temperature difference is caused by a defect, we need to collect and analyze temperature data over a long period of time to eliminate the interference of environmental factors.

[0056] The temperature of equipment or structures is directly affected by the change of ambient temperature and seasons. In summer, the surface temperature of equipment or structures will rise significantly due to factors such as solar radiation and rising ambient temperature; in winter, the temperature may drop due to lower ambient temperature. In addition, seasonal meteorological conditions such as humidity changes, wind speed changes, and rainfall may also have an indirect effect on the temperature of equipment or structures. For example, increased humidity will reduce the heat dissipation efficiency of equipment, changes in wind speed may affect the convective heat dissipation effect, and rainfall may affect the temperature distribution of equipment or structures through heat conduction and evaporation.

[0057] The reason why ambient temperature and seasonal changes interfere with temperature measurement is that the temperature changes they cause may be confused with temperature changes caused by defects. When performing temperature comparisons, normal temperature changes caused by environmental factors may be considered abnormal, resulting in misjudgment, based only on temperature data over a short period of time. Similarly, if there are defects in the equipment or structure itself, but the temperature changes caused by them are similar to those caused by environmental factors, it may also lead to missed judgments. Therefore, environmental factors are an important source of interference that cannot be ignored in temperature comparison analysis.

[0058] Therefore, different temperature detection times on the overall diagram of the facade insulation layer are set under different influencing factors to improve the detection accuracy. See the table below for details.

[0059]

[0060] As the temperature rises, the thermal expansion and heat dissipation efficiency of the equipment or structure will change, so the required detection time may be shortened accordingly. However, in extremely high temperatures, the equipment or structure may be more prone to failure, so more frequent monitoring is required. Increased humidity will affect the heat dissipation effect of the equipment or structure, resulting in higher temperature measurements. At the same time, humidity may also cause problems such as corrosion and oxidation, which will have an adverse effect on the long-term operation of the equipment or structure. Therefore, in environments with high humidity, longer monitoring is required to evaluate its impact on temperature measurement. Changes in wind speed will affect the convective heat dissipation effect, thereby affecting the temperature distribution of the equipment or structure. In environments with higher wind speeds, the heat dissipation efficiency of the equipment or structure will increase, and the temperature measurement value may be lower. Therefore, in environments with higher wind speeds, the detection time needs to be appropriately shortened to ensure the accuracy of the data.

[0061] After long-term testing, if we confirm that the temperature anomaly in the suspected area is indeed significantly different from the surrounding environment and that this difference remains stable for a long time, we can preliminarily determine that there is a defect in the area.

[0062] According to the location of the insulation nails and the defect area, an ultrasonic image is obtained to determine the nature of the defect area;

[0063] It should be noted that the specific steps for obtaining ultrasonic images are as follows: placing the ultrasonic probe at the suspected defect area and the insulation nail position, and sending ultrasonic signals. The ultrasonic signals will propagate inside the object, and will be reflected and transmitted when encountering the interface between different media. The reflected ultrasonic signals will be received and converted into visual ultrasonic images through the signal processing module inside the equipment. These images show the internal structural information of the object, including the location, shape and size of the defects.

[0064] After acquiring the ultrasonic image, the type, size and depth of the defect are determined based on the reflection, transmission and other features in the image. For example, when an obvious reflection signal is shown in the ultrasonic image, and the position of the signal is close to the position of the insulation nail, it can be preliminarily determined that the reflection signal is caused by the insulation nail. If one or more irregular reflection signals are shown in the image, and the positions of these signals are consistent with the suspected defect area, the intensity, shape and distribution of these signals can be further analyzed to determine the type of defect (such as cracks, corrosion, inclusions, etc.), size and depth. Specifically, after acquiring the ultrasonic image, carefully analyze the reflection and transmission signals in the image. If an irregular reflection signal is found that is consistent with the suspected defect area, and the signal has a high intensity, irregular shape and uneven distribution, it can be preliminarily determined that there is a crack defect at that location.

[0065] The determination of the nature of the defective area is specifically as follows: in the ultrasonic image, all obvious reflection signals are identified, and the position of each reflection signal is compared with the known position of the insulation nail and the position of the suspected defective area; if the position of the reflection signal is close to the position of the insulation nail, it is preliminarily determined that the reflection signal is caused by the insulation nail; if the position of the reflection signal is consistent with the suspected defective area, it is confirmed that there is a defect, and the reflection signal strength, shape and distribution here are further analyzed to obtain the defect type, specifically,

[0066] When analyzing the intensity of the reflected signal, first perform an intensity comparison, comparing the reflected signal intensity of the suspected defect area with the signal intensity of the surrounding normal area. If the reflected signal intensity is significantly higher than that of the surrounding area, it may indicate that there are larger defects in the area, such as cracks or inclusions. If the reflected signal intensity is weak, it may indicate that the defect is small or located deep in the material. Then observe the intensity change and observe the change of the reflected signal intensity at different positions. If the intensity changes dramatically, it may indicate that the defect shape is irregular or there are multiple defects. If the intensity changes gently, it may indicate that the defect shape is relatively regular or the defect is small.

[0067] In analyzing the shape of the reflected signal, first observe the waveform characteristics of the reflected signal, such as the number of peaks and the width of the amplitude. If the waveform shows multiple peaks and a wide amplitude, it may indicate that the defect is a crack or a large inclusion. If the waveform shows a single peak and a narrow amplitude, it may indicate that the defect is a small inclusion or pore. Then analyze the signal smoothness, that is, whether the waveform is continuous and stable. If the signal smoothness is not high, it may indicate that the defect surface is rough or there are complex situations, such as an uneven crack surface. If the signal smoothness is high, it may indicate that the defect surface is smooth or the defect shape is regular.

[0068] Finally, analyze the distribution of the reflected signal and observe its distribution range. Observe the distribution range of the reflected signal in the ultrasonic image. If the distribution range is wide, it may indicate a large defect or multiple defects. If the distribution range is limited, it may indicate a small defect or a single defect. Finally, observe the signal density to analyze the density of the reflected signal, that is, the number of signals per unit area. If the signal density is high, it may indicate that the defects are dense or there are multiple small defects. If the signal density is low, it may indicate that the defects are sparse or a single defect is large, thereby completing the analysis of the defect type.

[0069] The results obtained from S3 and S4 are combined to evaluate the quality of the facade.

[0070] It should be noted that infrared testing uses an infrared thermal imager to capture the temperature distribution differences on the facade surface, thereby identifying suspected defective areas. These temperature differences are caused by abnormal heat conduction caused by defects. Specifically, when there are defects in the facade material, such as voids, cracks, or debonding, these defects will destroy the thermal conduction path of the material, causing heat to accumulate or dissipate in the defective area, thus forming obvious temperature abnormality areas on the infrared thermal image.

[0071] Ultrasonic testing locates defects by emitting ultrasonic waves into the material and receiving the reflected signals. The strength and direction of the reflected signals can reveal information such as the location, shape and size of the defects. Ultrasonic testing can penetrate thicker layers of materials to accurately locate and evaluate internal defects.

[0072] During ultrasonic testing, the inspector places the probe close to the surface of the facade and emits ultrasonic waves into the material. When ultrasonic waves propagate inside the material, they are reflected and scattered when they encounter defects. By receiving and analyzing these reflected signals, the inspector can accurately determine the location, shape and size of the defect, and further determine its type (such as voids, cracks, inclusions, etc.). When infrared testing and ultrasonic testing identify suspected defects at the same location, and these defects match each other in size and characteristics, it can be more confident that there are indeed defects in the area. This is because infrared testing and ultrasonic testing reveal the existence of defects from different angles. Infrared testing preliminarily identifies suspected defect areas by capturing differences in temperature distribution, while ultrasonic testing accurately locates and evaluates defects by receiving reflected signals. The combined use of the two testing methods can greatly improve the accuracy and reliability of defect detection.

[0073] When there are defects such as voids, cracks or debonding in the insulation layer, these defects will destroy the thermal conduction path of the material during infrared testing, causing heat to accumulate or dissipate in the defect area, thus forming an obvious temperature anomaly area on the infrared thermal image. Similarly, when ultrasonic testing is performed, when the ultrasonic wave propagates inside the insulation layer, it will be reflected and scattered when it encounters defects. By receiving and analyzing these reflected signals, the inspector can accurately determine the location, shape and size of the defect. Ultrasonic testing can not only provide accurate location information of the defect, but also evaluate the size of the defect through the intensity and distribution range of the reflected signal. This is because the intensity of the reflected signal is closely related to the size and depth of the defect. The larger and deeper the defect, the stronger the intensity of the reflected signal is usually. At the same time, the distribution range of the reflected signal can also reflect the shape and size of the defect. Combining the temperature anomaly range displayed by infrared testing and the defect size evaluated by ultrasonic testing, the actual size of the defect can be determined more accurately.

[0074] The above is based on the ideal embodiment of the present invention. Through the above description, relevant personnel can make various changes and modifications without departing from the technical concept of the present invention. The technical scope of the present invention is not limited to the content in the specification, and the technical scope must be determined according to the scope of the claims.

Claims

1. A technology for inspecting the quality of the facade insulation layer, characterized in that: The following steps are involved: S1: Obtaining an overall picture of the facade insulation layer detected by an infrared detection device; S2: According to the overall picture, determine the suspected area and the location of the insulation nails, where the surface of the insulation nails is coated with metal powder; S3: Determine whether the suspected area is a defect area, and remove the non-defect area; S4: Acquire an ultrasonic image according to the position of the insulation nail and the position of the defect area to determine the nature of the defect area; S5: Combine the results obtained in S3 and S4 to evaluate the quality of the facade.

2. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In S1, the overall diagram is a temperature distribution diagram formed by capturing and displaying the infrared radiation image of the surface of the thermal insulation layer in real time by an infrared detection device.

3. The exterior facade insulation layer quality inspection technology according to claim 2 is characterized by: A temperature value is set on one side of the temperature distribution diagram, and is mapped to the overall diagram through the difference between colors, showing the temperature difference between each area of ​​the insulation layer.

4. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In S2, the suspected area is specifically a portion having a color that is obviously different from the surrounding area in the overall image of the facade insulation layer.

5. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In S2, the position of the insulation nail is specifically circular and has a portion with a significantly different color from the surrounding area in the overall view of the facade insulation layer.

6. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In the above S3, the judgment of the suspected area is specifically made by judging the temperature change in the overall diagram of the facade insulation layer within 1-15 days to eliminate the interference of environmental factors.

7. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In the above S3, when judging the suspected area, different detection times of the temperature on the overall diagram of the facade insulation layer are set under different influencing factors to improve the detection accuracy.

8. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In S4, obtaining the ultrasonic image specifically includes: placing the ultrasonic probe at the suspected defect area and the insulation nail position, and sending an ultrasonic signal. The ultrasonic signal will propagate inside the object, and will be reflected and transmitted when encountering the interface of different media. The reflected ultrasonic signal is received and converted into a visual ultrasonic image through the signal processing module inside the device.

9. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In S4, the determination of the nature of the defective area is specifically as follows: A1: In the ultrasonic image, identify all obvious reflection signals and compare the position of each reflection signal with the known position of the insulation nails and the suspected defect area; A2: If the position of the reflected signal is close to the position of the insulation nail, it is preliminarily determined that the reflected signal is caused by the insulation nail; A3: If the location of the reflected signal matches the suspected defect area, the defect is confirmed, and the intensity, shape and distribution of the reflected signal here are further analyzed to obtain the defect type.

10. The exterior facade insulation layer quality inspection technology according to claim 1 is characterized by: In S5, the quality of the facade is evaluated by combining infrared detection and ultrasonic detection to determine the type and size of the defective area and evaluate its severity.

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