A real-time monitoring and early warning system for building structure leakage
By acquiring temperature and humidity through the monitoring module, dividing the area through the analysis module, and identifying abnormalities in ultrasonic signals and images through the diagnostic module, the system outputs warning signal levels, thus solving the problems of weak monitoring targeting and low warning accuracy in existing technologies. This enables precise monitoring and efficient early warning of building structure leakage.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANXI DINGXIN MAOFA CONSTRUCTION ENGINEERING CO LTD
- Filing Date
- 2026-04-16
- Publication Date
- 2026-06-12
AI Technical Summary
Existing technologies do not combine multi-dimensional state parameters such as temperature difference, characteristic temperature duration, and characteristic humidity duration to classify regional leakage states, resulting in weak monitoring targeting and low early warning accuracy due to the lack of differentiated diagnostic strategies for different states.
The monitoring module acquires the temperature and humidity of the building structure, the analysis module divides the area and acquires the status parameters, the diagnostic module identifies anomalies based on the amplitude and propagation time of the ultrasonic signal, combines image analysis to identify abnormal features, and outputs early warning signal levels to achieve differentiated diagnosis.
Accurately distinguishing the leakage risk status categories improves the accuracy and energy efficiency of early warning, reduces system power consumption, and avoids unnecessary high-frequency monitoring.
Smart Images
Figure CN122193402A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of building structure monitoring technology, and in particular to a real-time monitoring and early warning system for building structure leakage. Background Technology
[0002] Building structural leakage is a common quality hazard in all types of buildings. Whether it's a residential building, a small office building, or a large public building, all have varying degrees of leakage risk, which is often hidden and difficult to detect in a timely manner. The leakage risk mainly stems from construction defects, damage to the sealing layer due to temperature and humidity changes, long-term environmental erosion, and slight displacement of the building structure. These factors create channels for moisture penetration, gradually exacerbating the leakage risk. Once leakage occurs, it not only leads to water stains and mold on the walls, endangering human health and affecting the building's aesthetics, but also causes concrete carbonization, steel corrosion, shortens the building's lifespan, and may even cause electrical safety accidents, increasing maintenance costs. Therefore, to achieve early detection, early diagnosis, and early treatment of leakage hazards, reduce the harm caused by leakage, and ensure the structural safety and normal use of buildings, there is an urgent need for a system capable of real-time monitoring, accurate identification of leakage risks, and timely issuance of early warnings.
[0003] Chinese Patent Publication No. CN116611365A discloses a method and system for monitoring leakage in prefabricated buildings, belonging to the field of intelligent building and intelligent operation and maintenance technology. The method includes: establishing a CFD simulation model of the prefabricated building and performing simulation calculations; conducting wind tunnel tests on the prefabricated building to verify the simulation calculation results; combining the simulation calculation results, wind tunnel test results, local historical climate data, and relevant data on cracks in similar building structures to determine the locations requiring leakage monitoring and deploying corresponding leakage monitoring sensors; comprehensively analyzing the monitoring data collected by the leakage monitoring sensors and the aforementioned various data to obtain leakage early warning information; and establishing a BIM model of the prefabricated building for real-time dynamic display. This method can monitor leakage problems in prefabricated buildings in real time, effectively preventing leakage events and thus improving the living quality of prefabricated buildings.
[0004] However, the following problems still exist in the existing technology.
[0005] In existing technologies, the leakage status of a region is not divided by combining multi-dimensional state parameters such as temperature difference, characteristic temperature duration, and characteristic humidity duration, resulting in weak monitoring targeting; and the lack of differentiated diagnostic strategies based on different states leads to low accuracy of early warning. Summary of the Invention
[0006] To address these issues, this invention provides a real-time monitoring and early warning system for building structure leakage, which solves the problems of insufficient monitoring targeting due to the lack of multi-dimensional state parameters such as temperature difference, characteristic temperature duration, and characteristic humidity duration in dividing the leakage status of different areas; and the low accuracy of early warnings due to the failure to select differentiated diagnostic strategies based on different states.
[0007] To achieve the above objectives, the present invention provides a real-time monitoring and early warning system for building structure leakage, comprising:
[0008] The monitoring module includes several temperature and humidity acquisition units for acquiring the temperature and humidity of the building structure, and an ultrasonic unit for acquiring ultrasonic signals.
[0009] An analysis module, connected to the monitoring module, is used to divide the building structure into several regions, obtain the status parameters of each region, and classify the region status categories based on the status parameters of each region.
[0010] A diagnostic module, connected to the analysis module, is used to select a diagnostic strategy based on the region's state category, including:
[0011] The system transmits ultrasonic signals to a region, identifies whether there are any anomalies in the region based on the ultrasonic signal amplitude and propagation time, and outputs a warning signal level based on the ultrasonic signal deviation ratio.
[0012] Alternatively, regional images can be acquired at preset intervals to identify any anomalies in the regional images and determine whether to issue a warning signal.
[0013] The early warning module is connected to the diagnostic module and is used to issue early warning signals.
[0014] Furthermore, the analysis module acquires state parameters for each region, including characteristic temperature duration, characteristic humidity duration, and temperature difference.
[0015] The duration of a characteristic temperature within a preset period is obtained, where the characteristic temperature is a temperature that exceeds the standard temperature range.
[0016] Obtain the duration of characteristic humidity within a preset period, wherein the characteristic humidity is a humidity greater than the preset humidity;
[0017] The preset period is divided into several time periods, and the temperature difference value within each time period is obtained. The temperature difference value is the difference between the maximum temperature and the minimum temperature within the time period.
[0018] Furthermore, the analysis module categorizes the regional states based on the state parameters of each region.
[0019] If the steady-state conditions are met, the area is classified as a low-leakage-risk area.
[0020] If the steady-state conditions are not met, the area is classified as a high-leakage-risk area.
[0021] The steady-state condition is that the duration of the characteristic temperature in the region is less than the preset temperature duration, the duration of the characteristic humidity is less than the preset humidity duration, and the temperature difference in each time period is less than the preset temperature difference.
[0022] Furthermore, the diagnostic module is used to select a diagnostic strategy based on the region's state category, including:
[0023] If the area status category is a high leakage risk area category, an ultrasonic signal is emitted to the area. The presence of anomalies in the area is identified based on the ultrasonic signal amplitude and propagation time. The warning signal level is output based on the ultrasonic signal deviation ratio.
[0024] If the area status category is a low leakage risk area category, the area image is acquired at preset intervals to identify whether there are any anomalies in the area image and to determine whether to issue an early warning signal.
[0025] Furthermore, the diagnostic module identifies whether there is an abnormality in the area based on the amplitude and propagation time of the ultrasonic signal, wherein,
[0026] If the amplitude of the ultrasonic signal exceeds the preset amplitude range, or the propagation time exceeds the preset propagation time range, then an anomaly is identified in the area.
[0027] Furthermore, the diagnostic module is used to obtain the ultrasonic signal deviation ratio.
[0028] Obtain the amplitude deviation ratio and the propagation time deviation ratio of the ultrasonic signal;
[0029] The difference between the amplitude of the ultrasonic signal and a preset amplitude standard value is obtained, and the absolute value of the ratio of the difference to the preset amplitude standard value is the ultrasonic signal amplitude deviation ratio.
[0030] The difference between the propagation time of the ultrasonic signal and a preset propagation time standard value is obtained, and the absolute value of the ratio of the difference to the preset propagation time standard value is the ultrasonic signal propagation time deviation ratio.
[0031] Furthermore, the diagnostic module outputs a warning signal level based on the proportion of ultrasound signal deviation, wherein,
[0032] If the amplitude deviation ratio of the ultrasonic signal is less than the amplitude minor risk ratio, and the propagation time deviation ratio of the ultrasonic signal is less than the propagation time minor risk ratio, then the output warning signal level is a minor warning level.
[0033] If the amplitude deviation ratio of the ultrasonic signal is greater than or equal to the amplitude low-risk ratio, or the propagation time deviation ratio of the ultrasonic signal is greater than or equal to the propagation time low-risk ratio, then the output warning signal level is a severe warning level.
[0034] Furthermore, the diagnostic module identifies whether there are anomalies in the region image.
[0035] Use image analysis software to identify whether there are abnormal features on the surface of the area;
[0036] If abnormal features are found in the area image, the abnormality in the area image is identified, and a warning signal is issued.
[0037] The abnormal features include mold, cracks, and bulges.
[0038] Furthermore, the monitoring module also includes a storage unit for storing monitoring data.
[0039] Furthermore, the analysis module divides the building structure into several regions, each of which is the same size.
[0040] Compared with existing technologies, this invention acquires the temperature, humidity, and ultrasonic signals of the building structure through a monitoring module, divides the building structure into several regions through an analysis module, acquires the state parameters of each region, classifies the region state categories based on the state parameters, and selects a diagnostic strategy based on the region state category. This strategy includes: transmitting ultrasonic signals to the region, identifying whether there are any abnormalities in the region based on the ultrasonic signal amplitude and propagation time, and outputting a warning signal level based on the ultrasonic signal deviation ratio; or acquiring region images at preset intervals, identifying whether there are any abnormalities in the region images, and determining whether to issue a warning signal. By classifying region state categories and adopting corresponding diagnostic methods for different state categories, this invention improves the accuracy of warnings.
[0041] In particular, this invention classifies regional status categories based on state parameters of each area through an analysis module. The characteristic temperature duration represents the time when the regional temperature exceeds the standard range, reflecting the degree of impact of temperature anomalies on the sealing layer and building structure. The characteristic humidity duration represents the time when the regional humidity exceeds a preset threshold, reflecting the degree of humidity and potential moisture penetration in the area. The temperature difference represents the temperature fluctuation amplitude of the area in different time periods, reflecting the tensile impact of temperature fluctuations on the building structure and sealing layer. Through the synergistic effect of these three dimensions of parameters, the possibility of leakage in each area can be accurately distinguished, and the area can be divided into different leakage risk status categories. Then, differentiated diagnostic methods can be adopted for areas with different status categories, effectively avoiding the drawbacks of a single diagnostic method and significantly improving the accuracy of leakage early warning.
[0042] In particular, this invention transmits ultrasonic signals to a region through a diagnostic module, and identifies the presence of leakage anomalies by combining the ultrasonic signal amplitude and propagation time. It also outputs a corresponding warning signal level based on the ultrasonic signal deviation ratio, effectively improving the accuracy of the warning. Specifically, the ultrasonic signal amplitude characterizes the intensity of the reflected signal after the ultrasonic wave penetrates the building structure's sealing layer, reflecting the integrity and tightness of the sealing layer. The ultrasonic signal propagation time characterizes the duration from emission to reception, reflecting the thickness and uniformity of the building structure's surface and sealing layer. When the ultrasonic signal amplitude is abnormal, it may indicate cracking, peeling, or moisture penetration in the sealing layer, leading to signal attenuation or reflection disorder. When the ultrasonic signal propagation time is abnormal, it is often due to moisture channels or micro-cracks formed by leakage altering the ultrasonic wave propagation path or speed. By accurately capturing abnormal changes in these two parameters, potential leakage hazards can be accurately identified. Furthermore, a larger ultrasonic signal deviation ratio indicates a more severe leakage anomaly, resulting in a higher corresponding warning signal level, thus improving the accuracy of leakage warnings.
[0043] In particular, this invention acquires regional images at preset intervals using a diagnostic module and identifies any anomalies in the images to determine whether to issue a warning signal. Since low-leakage-risk areas are less likely to leak, high-frequency, intensive monitoring is unnecessary. By acquiring images at preset intervals, leak-related anomalies on the surface of the area can be effectively identified, ensuring no potential hazards are overlooked. This also avoids unnecessary high-frequency monitoring, helping to reduce system power consumption, minimize wear and tear on the monitoring module, and improve the energy efficiency and accuracy of the system. Attached Figure Description
[0044] Figure 1 A structural diagram of a building structure leakage real-time monitoring and early warning system according to an embodiment of the invention;
[0045] Figure 2 The analysis module in this embodiment of the invention uses a logical decision diagram to classify the state categories of each region based on the state parameters of each region.
[0046] Figure 3 The diagnostic module in this embodiment of the invention uses a logic diagram to identify whether there is an abnormality in a region based on the amplitude and propagation time of the ultrasonic signal. Detailed Implementation
[0047] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.
[0048] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.
[0049] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.
[0050] Please see Figures 1 to 3 As shown, Figure 1 This is a structural diagram of a building structure leakage real-time monitoring and early warning system according to an embodiment of the invention. Figure 2 The analysis module in this embodiment of the invention uses a logical decision diagram to classify the state categories of each region based on the state parameters of each region. Figure 3 The diagnostic module of this invention identifies the presence of anomalies in a region based on the ultrasonic signal amplitude and propagation time. The real-time monitoring and early warning system for building structure leakage of this invention includes:
[0051] The monitoring module includes several temperature and humidity acquisition units for acquiring the temperature and humidity of the building structure, and an ultrasonic unit for acquiring ultrasonic signals.
[0052] An analysis module, connected to the monitoring module, is used to divide the building structure into several regions, obtain the status parameters of each region, and classify the region status categories based on the status parameters of each region.
[0053] A diagnostic module, connected to the analysis module, is used to select a diagnostic strategy based on the region's state category, including:
[0054] The system transmits ultrasonic signals to a region, identifies whether there are any anomalies in the region based on the ultrasonic signal amplitude and propagation time, and outputs a warning signal level based on the ultrasonic signal deviation ratio.
[0055] Alternatively, regional images can be acquired at preset intervals to identify any anomalies in the regional images and determine whether to issue a warning signal.
[0056] The early warning module is connected to the diagnostic module and is used to issue early warning signals.
[0057] In this embodiment, the temperature and humidity acquisition unit is a temperature sensor and a humidity sensor, and the ultrasonic unit is an ultrasonic sensor.
[0058] In this embodiment, each area is equipped with a temperature sensor and a humidity sensor.
[0059] In this embodiment, regional images are acquired at preset intervals, with the preset interval being 5 hours.
[0060] Specifically, the analysis module acquires state parameters for each region, including characteristic temperature duration, characteristic humidity duration, and temperature difference.
[0061] The duration of a characteristic temperature within a preset period is obtained, where the characteristic temperature is a temperature that exceeds the standard temperature range.
[0062] Obtain the duration of characteristic humidity within a preset period, wherein the characteristic humidity is a humidity greater than the preset humidity;
[0063] The preset period is divided into several time periods, and the temperature difference value within each time period is obtained. The temperature difference value is the difference between the maximum temperature and the minimum temperature within the time period.
[0064] In this embodiment, the preset cycle is 1 day, the standard temperature range is [3℃, 35℃], and the preset humidity is 80%RH. In reality, sealants are commonly used for sealing building pipes and wall joints. Their normal elasticity and adhesion working temperature range is 5℃-35℃. Below 5℃, the sealant hardens and becomes brittle; above 35℃, it softens and ages, significantly increasing the risk of leakage. Therefore, this standard temperature range is set. Under normal dry conditions, the humidity of building structures is mostly between 40%RH and 75%RH. When the humidity is above 80%RH, it indicates that the surface of the area is already damp, and moisture penetration may occur. The preset cycle is divided into 12 time periods, each lasting 2 hours.
[0065] Specifically, the analysis module categorizes the state of each region based on its state parameters.
[0066] If the steady-state conditions are met, the area is classified as a low-leakage-risk area.
[0067] If the steady-state conditions are not met, the area is classified as a high-leakage-risk area.
[0068] The steady-state condition is that the duration of the characteristic temperature in the region is less than the preset temperature duration, the duration of the characteristic humidity is less than the preset humidity duration, and the temperature difference in each time period is less than the preset temperature difference.
[0069] In this embodiment, the preset temperature duration is 2 hours. If the duration exceeds the standard temperature range of 5℃-35℃ by ≥2 hours, it indicates that the high or low temperature time is too long, which will lead to aging of the sealant and excessive thermal expansion and contraction of building materials, increasing the risk of leakage. The preset humidity duration is 2 hours. If the duration is ≥2 hours, it indicates that the area has been damp for a long time, and there is a high probability of moisture penetration. The preset temperature difference is 3℃. If the temperature difference is ≥3℃ within a period of time, it indicates that the temperature fluctuation is large, which will cause repeated thermal expansion and contraction of building materials and sealant, easily producing micro-cracks and sealant peeling, significantly increasing the risk of leakage.
[0070] Specifically, the diagnostic module is used to select a diagnostic strategy based on the region's state category, including:
[0071] If the area status category is a high leakage risk area category, an ultrasonic signal is emitted to the area. The presence of anomalies in the area is identified based on the ultrasonic signal amplitude and propagation time. The warning signal level is output based on the ultrasonic signal deviation ratio.
[0072] If the area status category is a low leakage risk area category, the area image is acquired at preset intervals to identify whether there are any anomalies in the area image and to determine whether to issue an early warning signal.
[0073] Specifically, the diagnostic module identifies whether there is an abnormality in the area based on the amplitude and propagation time of the ultrasonic signal.
[0074] If the amplitude of the ultrasonic signal exceeds the preset amplitude range, or the propagation time exceeds the preset propagation time range, then an anomaly is identified in the area.
[0075] In this embodiment, the preset amplitude range is [0.5V, 1.2V], and the amplitude of the reflected signal from the detected building structure is stable between 0.5V and 1.2V. If there are abnormalities such as leakage or cracked sealant in the area, the ultrasonic signal will attenuate or the reflection will become disordered. The preset propagation time range is... In this embodiment, the ultrasonic probe has a detection depth of 0-5cm. In media such as building sealant and concrete surface, the propagation speed of 10MHz ultrasound is approximately 1500-1800m / s. Calculations show that the normal propagation time range for detecting depths of 0-5cm is... If there is leakage (moisture penetration) or tiny cracks, the propagation path of the ultrasonic waves will change and the propagation speed will decrease, resulting in longer propagation time. (Path shortened) or (Path detour, speed reduction).
[0076] Specifically, the diagnostic module is used to obtain the proportion of ultrasound signal deviation.
[0077] Obtain the amplitude deviation ratio and the propagation time deviation ratio of the ultrasonic signal;
[0078] The difference between the amplitude of the ultrasonic signal and a preset amplitude standard value is obtained, and the absolute value of the ratio of the difference to the preset amplitude standard value is the ultrasonic signal amplitude deviation ratio.
[0079] The difference between the propagation time of the ultrasonic signal and a preset propagation time standard value is obtained, and the absolute value of the ratio of the difference to the preset propagation time standard value is the ultrasonic signal propagation time deviation ratio.
[0080] In this embodiment, the preset amplitude standard value is 0.8V, and the preset propagation time standard value is... .
[0081] Specifically, the diagnostic module outputs a warning signal level based on the proportion of ultrasound signal deviation, wherein...
[0082] If the amplitude deviation ratio of the ultrasonic signal is less than the amplitude minor risk ratio, and the propagation time deviation ratio of the ultrasonic signal is less than the propagation time minor risk ratio, then the output warning signal level is a minor warning level.
[0083] If the amplitude deviation ratio of the ultrasonic signal is greater than or equal to the amplitude low-risk ratio, or the propagation time deviation ratio of the ultrasonic signal is greater than or equal to the propagation time low-risk ratio, then the output warning signal level is a severe warning level.
[0084] In this embodiment, the amplitude risk ratio is 45%, and the propagation time risk ratio is 40%.
[0085] Specifically, the diagnostic module identifies whether there are anomalies in the region image.
[0086] Use image analysis software to identify whether there are abnormal features on the surface of the area;
[0087] If abnormal features are found in the area image, the abnormality in the area image is identified, and a warning signal is issued.
[0088] The abnormal features include mold, cracks, and bulges.
[0089] In this embodiment, the region image is analyzed using OpenCV image analysis software to identify preset abnormal features: mold spots, cracks, and bulges.
[0090] Specifically, the monitoring module also includes a storage unit for storing monitoring data.
[0091] In this embodiment, the monitoring data includes temperature, humidity, and ultrasonic signals.
[0092] Specifically, the analysis module divides the building structure into several regions, each of which is the same size.
[0093] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.
Claims
1. A real-time monitoring and early warning system for building structure leakage, characterized in that, include: The monitoring module includes several temperature and humidity acquisition units for acquiring the temperature and humidity of the building structure, and an ultrasonic unit for acquiring ultrasonic signals. An analysis module, connected to the monitoring module, is used to divide the building structure into several regions, obtain the status parameters of each region, and classify the region status categories based on the status parameters of each region. A diagnostic module, connected to the analysis module, is used to select a diagnostic strategy based on the region's state category, including: The system transmits ultrasonic signals to a region, identifies whether there are any anomalies in the region based on the ultrasonic signal amplitude and propagation time, and outputs a warning signal level based on the ultrasonic signal deviation ratio. Alternatively, regional images can be acquired at preset intervals to identify any anomalies in the regional images and determine whether to issue a warning signal. The early warning module is connected to the diagnostic module and is used to issue early warning signals.
2. The real-time monitoring and early warning system for building structure leakage according to claim 1, characterized in that, The analysis module acquires state parameters for each region, including characteristic temperature duration, characteristic humidity duration, and temperature difference. The duration of a characteristic temperature within a preset period is obtained, where the characteristic temperature is a temperature that exceeds the standard temperature range. Obtain the duration of characteristic humidity within a preset period, wherein the characteristic humidity is a humidity greater than the preset humidity; The preset period is divided into several time periods, and the temperature difference value within each time period is obtained. The temperature difference value is the difference between the maximum temperature and the minimum temperature within the time period.
3. The real-time monitoring and early warning system for building structure leakage according to claim 2, characterized in that, The analysis module categorizes the regional states based on the state parameters of each region. If the steady-state conditions are met, the area is classified as a low-leakage-risk area. If the steady-state conditions are not met, the area is classified as a high-leakage-risk area. The steady-state condition is that the duration of the characteristic temperature in the region is less than the preset temperature duration, the duration of the characteristic humidity is less than the preset humidity duration, and the temperature difference in each time period is less than the preset temperature difference.
4. The real-time monitoring and early warning system for building structure leakage according to claim 3, characterized in that, The diagnostic module is used to select diagnostic strategies based on the region's state category, including: If the area status category is a high leakage risk area category, an ultrasonic signal is emitted to the area. The presence of anomalies in the area is identified based on the ultrasonic signal amplitude and propagation time. The warning signal level is output based on the ultrasonic signal deviation ratio. If the area status category is a low leakage risk area category, the area image is acquired at preset intervals to identify whether there are any anomalies in the area image and to determine whether to issue an early warning signal.
5. The real-time monitoring and early warning system for building structure leakage according to claim 1, characterized in that, The diagnostic module identifies whether there is an abnormality in the area based on the amplitude and propagation time of the ultrasonic signal. If the amplitude of the ultrasonic signal exceeds the preset amplitude range, or the propagation time exceeds the preset propagation time range, then an anomaly is identified in the area.
6. The real-time monitoring and early warning system for building structure leakage according to claim 5, characterized in that, The diagnostic module is used to obtain the ultrasonic signal deviation ratio. Obtain the amplitude deviation ratio and the propagation time deviation ratio of the ultrasonic signal; The difference between the amplitude of the ultrasonic signal and a preset amplitude standard value is obtained, and the absolute value of the ratio of the difference to the preset amplitude standard value is the ultrasonic signal amplitude deviation ratio. The difference between the propagation time of the ultrasonic signal and a preset propagation time standard value is obtained, and the absolute value of the ratio of the difference to the preset propagation time standard value is the ultrasonic signal propagation time deviation ratio.
7. The real-time monitoring and early warning system for building structure leakage according to claim 6, characterized in that, The diagnostic module outputs a warning signal level based on the proportion of ultrasound signal deviation, wherein... If the amplitude deviation ratio of the ultrasonic signal is less than the amplitude minor risk ratio, and the propagation time deviation ratio of the ultrasonic signal is less than the propagation time minor risk ratio, then the output warning signal level is a minor warning level. If the amplitude deviation ratio of the ultrasonic signal is greater than or equal to the amplitude low-risk ratio, or the propagation time deviation ratio of the ultrasonic signal is greater than or equal to the propagation time low-risk ratio, then the output warning signal level is a severe warning level.
8. The real-time monitoring and early warning system for building structure leakage according to claim 1, characterized in that, The diagnostic module identifies whether there are any anomalies in the region image. Use image analysis software to identify whether there are abnormal features on the surface of the area; If abnormal features are found in the area image, the abnormality in the area image is identified, and a warning signal is issued. The abnormal features include mold, cracks, and bulges.
9. The real-time monitoring and early warning system for building structure leakage according to claim 1, characterized in that, The monitoring module also includes a storage unit for storing monitoring data.
10. The real-time monitoring and early warning system for building structure leakage according to claim 1, characterized in that, The analysis module divides the building structure into several regions, each of which is the same size.