Building vacuum detection and monitoring waterproof integrated system
By integrating vacuum detection, real-time monitoring, and intelligent analysis modules, and combining sensors and machine learning, high-precision, real-time monitoring and early warning of building waterproofing layers are achieved, solving the problems of insufficient accuracy and low automation in existing technologies, and providing efficient waterproofing layer detection and early warning functions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-26
- Publication Date
- 2026-04-17
AI Technical Summary
Existing building vacuum testing technologies suffer from insufficient accuracy, low automation, and poor data reliability, making it difficult to achieve efficient and accurate waterproofing layer detection and early warning.
It employs a vacuum detection module, a real-time monitoring module, an integrated waterproof material module, and an intelligent analysis module, combined with pressure sensors, humidity, temperature, and strain sensors. It uses machine learning algorithms to predict leakage risks and utilizes wireless communication and a cloud platform for real-time monitoring and early warning.
It achieves high-precision, real-time monitoring and early warning of waterproofing layers, accurately locates minute leaks, and provides efficient waterproofing layer inspection and maintenance recommendations, suitable for various building environments.
Abstract
Description
Technical Field
[0001] This invention belongs to the field of building waterproofing and intelligent monitoring technology, specifically relating to an integrated system for building vacuum detection and monitoring of waterproofing. Background Technology
[0002] The integrated building vacuum detection, monitoring and waterproofing system is a high-efficiency technical solution that integrates vacuum detection, real-time monitoring and waterproofing functions. It is mainly used in underground engineering, tunnels, roofs and other scenarios with high requirements for waterproofing and structural stability.
[0003] The current status of this technology both domestically and internationally is as follows: 1. Expanded application scope. Infrared thermal imagers are widely used to inspect the performance of vacuum insulation panels (VIPs) in building envelopes, identifying insulation failures and leaks, significantly improving energy efficiency. Miniature vacuum sensors can monitor the vacuum level of VIPs in real time, ensuring their long-term insulation performance and preventing insulation failures due to decreased vacuum. 2. Intelligent inspection methods. The use of infrared thermal imaging technology allows for rapid identification of defects such as hollow areas and water seepage in building exterior walls through non-contact temperature measurement, improving inspection efficiency. 3. Blockchain data traceability: Some engineering inspection agencies use blockchain technology to ensure the authenticity and reliability of inspection data, preventing falsification of inspection reports.
[0004] The future development trends of building vacuum testing are: 1. Higher precision sensor technology. MEMS (Micro-Electro-Mechanical Systems) vacuum sensors will develop towards higher sensitivity and lower power consumption, such as capacitive miniature vacuum sensors, which can monitor vacuum levels from 10⁻²Pa to 10⁻³Pa in real time, suitable for long-term monitoring of building insulation materials. 2. Deep integration of AI and digital twin technologies. AI algorithms can combine BIM (Building Information Modeling) and IoT (Internet of Things) data to predict the aging trend of building vacuum insulation systems and provide early warnings of maintenance needs. Digital twin technology can simulate vacuum level changes under different environments to optimize building energy-saving design. 3. Automated and unmanned testing. The combination of drones and infrared thermal imagers will become more widespread, enabling automated testing of the airtightness of high-rise building facades and glass curtain walls. Robotic testing systems may enter the building interior to perform non-destructive testing of the vacuum layer inside pipes and walls. 4. Standardization and policy promotion. With the advancement of "dual carbon" goals, building energy-saving testing standards will become more stringent, and vacuum testing technology may be included in mandatory acceptance standards. The government may introduce policies to encourage the development of domestically produced vacuum testing equipment and reduce reliance on imported technology.
[0005] Building vacuum inspection is evolving from traditional manual sampling to intelligent, automated, and high-precision methods. In the future, with the maturation of technologies such as AI, IoT, and MEMS sensors, vacuum inspection will become more accurate and efficient, playing a greater role in areas such as building energy conservation, structural safety, and material performance evaluation. At the same time, the industry still needs to address issues such as data falsification and the localization of equipment to drive a comprehensive upgrade of building inspection technology. Summary of the Invention
[0006] Purpose of the invention: In order to overcome the shortcomings of the existing technology, the present invention provides an integrated system for building vacuum detection and monitoring of waterproofing.
[0007] Technical solution: An integrated system for building vacuum detection and monitoring of waterproofing, comprising: The vacuum detection module is used to create a negative pressure environment inside the waterproof layer by using a vacuum pump, and to use a pressure sensor to monitor pressure changes in order to determine defects in the waterproof layer. The real-time monitoring module is used to deploy humidity, temperature, and strain sensors in key areas of the waterproof layer to collect data and transmit it to the cloud platform. The integrated waterproof material module uses a vacuum composite waterproof membrane with built-in micro air cavities. After construction, the base layer is compacted by vacuuming and the sealing performance is checked. The intelligent analysis module analyzes historical monitoring data based on machine learning algorithms to predict leakage risks and trigger maintenance alarms.
[0008] As a further improvement of the present invention: in the vacuum detection module, the vacuum pump creates a negative pressure environment below the waterproof layer, and the pressure sensor has an accuracy of ≤0.1Pa, which can identify minute leakage points of ≥0.1mm².
[0009] As a further improvement of the present invention: the sensors in the real-time monitoring module are deployed at the corners, joints, pipe roots penetrating the wall, and expansion joints, and the data acquisition frequency is 1 time / minute to 1 time / hour, and the data transmission adopts the LoRa / NB-IoT wireless communication protocol.
[0010] As a further improvement of the present invention: the vacuum composite waterproof membrane in the integrated waterproof material module includes: a polymer substrate layer, an upper protective film, a lower adhesive layer, and uniformly distributed built-in micro air cavities.
[0011] As a further improvement of the present invention: the diameter of the micro air chamber is 0.5-2mm, the spacing is 10-20cm, and the micro air chamber is connected to the air extraction hole at the edge of the roll material.
[0012] As a further improvement of the present invention: the training data of the intelligent analysis module includes historical cases of sudden humidity change ΔRH≥5% / h, sudden temperature change ΔT≥3℃ / h, abnormal strain ε≥50με and pressure recovery rate≥0.5Pa / min, and the prediction model outputs leakage risk level: low / medium / high.
[0013] As a further improvement of the present invention, it also includes a user terminal for receiving real-time data, risk warning information and maintenance suggestions pushed by the cloud platform, and supporting remote control of vacuum pump start / stop and sensor parameter adjustment.
[0014] Beneficial Effects: This invention's integrated building vacuum detection and monitoring waterproofing system creates a specific vacuum environment inside and outside the building's waterproofing layer, utilizing pressure differences to accurately detect any damage points and potential leaks. During monitoring, built-in high-sensitivity sensors continuously collect data; once an anomaly is detected, the information is quickly transmitted to the central control system for real-time early warning. Whether it's existing building renovation, waterproofing upgrades for old building roofs, or leak repair and detection in underground spaces and maintenance monitoring of exterior wall waterproofing, it can accurately locate problems and provide efficient solutions.
[0015] In the field of new construction, this system can safeguard everything from super high-rise buildings and large commercial complexes to industrial plants and prefabricated buildings. Its superior performance is also evident in buildings facing special environments, such as coastal buildings requiring corrosion and waterproofing, and buildings in high-altitude and cold regions requiring frost heave and waterproofing. In infrastructure, it easily solves the challenges of waterproofing and monitoring bridges, tunnels, and underground utility tunnels.
[0016] The integrated building vacuum detection and monitoring waterproofing system of the present invention can be perfectly integrated with smart buildings, realize linkage with building automation systems, perform predictive maintenance through big data analysis, and make management more convenient through remote monitoring and mobile applications.
[0017] This invention's integrated building vacuum detection and monitoring waterproofing system, with its innovative working principle, expands its applications in all directions, creating limitless possibilities for the present and future of buildings. Its application and promotion in the market have a very broad prospect. Detailed Implementation
[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below, so that those skilled in the art can better understand the advantages and features of the present invention, thereby making a clearer definition of the scope of protection of the present invention. The embodiments described in this invention are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention. Example
[0019] An integrated system for building vacuum detection and monitoring of waterproofing includes: a vacuum detection module, a real-time monitoring module, an integrated waterproofing material module, an intelligent analysis module, and a user terminal.
[0020] The vacuum detection module is used to create a negative pressure environment inside the waterproof layer by using a vacuum pump, and to use a pressure sensor to monitor pressure changes to determine defects in the waterproof layer. In the vacuum detection module, the vacuum pump creates a negative pressure environment below the waterproof layer, and the pressure sensor has an accuracy of ≤0.1Pa, which can identify tiny leaks of ≥0.1mm².
[0021] The real-time monitoring module is used to deploy humidity, temperature, and strain sensors at key locations of the waterproof layer, collect data, and transmit it to the cloud platform. The sensors in the real-time monitoring module are deployed at corners, joints, pipe penetrations, and expansion joints. The data acquisition frequency is 1 time / minute to 1 time / hour, and the data transmission adopts the LoRa / NB-IoT wireless communication protocol.
[0022] The integrated waterproof material module employs a vacuum composite waterproof membrane with built-in micro-air cavities. After construction, the substrate is compacted by vacuuming and the sealing performance is self-checked. The vacuum composite waterproof membrane in the integrated waterproof material module includes: a polymer substrate layer, an upper protective film, a lower adhesive layer, and uniformly distributed built-in micro-air cavities. The micro-air cavities have a diameter of 0.5-2mm and a spacing of 10-20cm, and are connected to the air extraction holes at the edge of the membrane.
[0023] The intelligent analysis module analyzes historical monitoring data based on machine learning algorithms to predict leakage risks and trigger maintenance alarms. The training data for the intelligent analysis module includes historical cases of sudden humidity changes ΔRH ≥ 5% / h, sudden temperature changes ΔT ≥ 3℃ / h, abnormal strain ε ≥ 50με, and pressure recovery rate ≥ 0.5Pa / min. The prediction model outputs a leakage risk level: low / medium / high.
[0024] The user terminal is used to receive real-time data, risk warning information and maintenance suggestions pushed by the cloud platform, and supports remote control of vacuum pump start and stop and sensor parameter adjustment.
[0025] The main technical indicators of the building vacuum detection and monitoring integrated waterproof system of the present invention are as follows: (1) Working vacuum degree: -0.08 Mpa to -0.1 Mpa (adjustable); (2) Anti-seepage pressure: ≥0.8 Mpa (no leakage for 2 hours); (3) Waterproof membrane compressive strength: ≥12Mpa; (4) Waterproof membrane elongation: ≥300% (adapts to structural deformation).
Claims
1. An integrated system for building vacuum detection and monitoring of waterproofing, characterized in that: include: The vacuum detection module is used to create a negative pressure environment inside the waterproof layer by using a vacuum pump, and to use a pressure sensor to monitor pressure changes in order to determine defects in the waterproof layer. The real-time monitoring module is used to deploy humidity, temperature, and strain sensors in key areas of the waterproof layer to collect data and transmit it to the cloud platform. The integrated waterproof material module uses a vacuum composite waterproof membrane with built-in micro air cavities. After construction, the base layer is compacted by vacuuming and the sealing performance is checked. The intelligent analysis module analyzes historical monitoring data based on machine learning algorithms to predict leakage risks and trigger maintenance alarms.
2. The integrated building vacuum detection and monitoring waterproofing system according to claim 1, characterized in that: In the vacuum detection module, the vacuum pump creates a negative pressure environment below the waterproof layer, and the pressure sensor has an accuracy of ≤0.1Pa, which can identify minute leaks of ≥0.1mm².
3. The integrated building vacuum detection and monitoring waterproofing system according to claim 1, characterized in that: The sensors in the real-time monitoring module are deployed at corners, joints, pipe roots penetrating walls, and expansion joints. The data acquisition frequency is 1 time / minute to 1 time / hour, and the data transmission adopts the LoRa / NB-IoT wireless communication protocol.
4. The integrated building vacuum detection and monitoring waterproofing system according to claim 1, characterized in that: The vacuum composite waterproof membrane in the integrated waterproof material module includes: a polymer substrate layer, an upper protective film, a lower adhesive layer, and uniformly distributed built-in micro air cavities.
5. The integrated building vacuum detection and monitoring waterproofing system according to claim 3, characterized in that: The micro air chambers have a diameter of 0.5-2mm and a spacing of 10-20cm, and are connected to the air extraction holes at the edge of the roll material.
6. The integrated building vacuum detection and monitoring waterproofing system according to claim 1, characterized in that: The training data for the intelligent analysis module includes historical cases of sudden humidity changes ΔRH≥5% / h, sudden temperature changes ΔT≥3℃ / h, abnormal strain ε≥50με, and pressure recovery rate ≥0.5Pa / min. The prediction model outputs a leakage risk level: low / medium / high.
7. The integrated building vacuum detection and monitoring waterproofing system according to claim 1, characterized in that: It also includes a user terminal, which is used to receive real-time data, risk warning information and maintenance suggestions pushed by the cloud platform, and supports remote control of vacuum pump start and stop and sensor parameter adjustment.