A method and system for detecting the airtightness of doors and windows

Abstract

The present invention relates to the technical field of airtightness detection for building doors and windows. Specifically, it relates to a method and system for detecting the airtightness of doors and windows. By installing temperature and humidity sensor probes at the gaps of doors and windows and at a distance indoors, the atmospheric pressure is detected in real time, and the temperature and humidity data at the two locations are continuously collected. Based on the fact that the atmospheric pressure is equal to the sum of the partial pressures of various gases, the actual water vapor pressure, absolute moisture content, and dew point temperature between the measured gap and the indoor environment are automatically calculated through the detected temperature and humidity parameters. Data processing is performed on the parameters to obtain stable values. In the summer mode, if the calculated value at the gap is higher than the calculated value of the indoor environment automatically calculated through the detected temperature and humidity parameters, it is determined that there is air leakage; vice versa in the winter mode. Automatic airtightness detection is achieved through dynamic analysis of temperature and humidity, solving the problems of low efficiency and poor accuracy of traditional methods, and having the characteristics of fast speed, high accuracy, and strong environmental adaptability.

Description

Technical Field

[0001] The present invention relates to the technical field of airtightness detection for building doors and windows, and specifically relates to a method and system for detecting the airtightness of doors and windows. Background Art

[0002] With the continuous improvement of building energy efficiency standards, the airtightness of doors and windows has become one of the core indicators for measuring the performance of building envelopes. Especially in radiant air conditioning systems (five-constant systems), the airtightness of doors and windows is directly related to the achievement of goals such as constant indoor temperature, humidity, and oxygen content. If the door and window seals are insufficient, the infiltration of external air through gaps will lead to out-of-control indoor temperature and humidity, and even cause problems such as condensation on the surface of radiant terminals and mildew on walls. Therefore, efficient and accurate door and window airtightness detection technology is of great significance for ensuring building energy efficiency and the healthy living environment.

[0003] Traditional methods for detecting the airtightness of doors and windows mainly rely on manual experience or simple tools, such as the feel-observation method, the smoke test method, and the paper test method. Although such methods are easy to operate, they have obvious defects: the detection results are greatly affected by subjective factors, the degree of air leakage cannot be quantitatively analyzed, and the ability to identify tiny leakage points is insufficient. While professional detection means (such as differential pressure airtightness detectors, tracer gas detectors, etc.) can provide high precision, their equipment is bulky, the operation process is complex, the detection cost is high, and they rely on professional personnel to build a test environment on-site, making it difficult to meet the needs of rapid screening of a large number of doors and windows during the construction acceptance of radiant air conditioning systems. In addition, existing detection equipment is mostly based on the principle of air pressure difference or gas tracking, and a stable pressure difference needs to be formed on both sides of the door and window or a specific gas needs to be released, which is easily interfered in a complex building environment and difficult to adapt to the dynamic detection needs under different seasons and climatic conditions.

[0004] In recent years, the popularization of radiant air conditioning systems has put forward higher requirements for door and window airtightness detection: on the one hand, it is necessary to quickly locate air leakage points during the construction stage to optimize the sealing process; on the other hand, regular detection is required during the operation and maintenance stage to prevent performance degradation caused by door and window aging. However, there is a lack of a detection scheme in the existing technology that is portable, automated, and can reflect the differences between the parameters at the door and window gaps and the indoor environment in real time. Although some studies have tried to indirectly evaluate airtightness through temperature and humidity sensors, they have not fully combined the comprehensive analysis of parameters such as moisture content, water vapor pressure, and dew point temperature, resulting in a high misjudgment rate and a lack of adaptive judgment logic for seasonal patterns (such as the infiltration of hot and humid air in summer and the leakage of dry air in winter). Summary of the Invention

[0005] The present invention provides a method and system for detecting the airtightness of doors and windows, aiming to solve the problems of low efficiency, poor accuracy, and dependence on heavy equipment in traditional door and window airtightness detection methods.

[0006] To achieve the above object, a first aspect of the present invention provides a method for detecting the airtightness of doors and windows, including the following steps:

[0007] Arrange the first temperature and humidity sensor probe at the gap of the door and window to be detected, and arrange the second temperature and humidity sensor probe at a predetermined position in the room far from the door and window;

[0008] Detect the atmospheric pressure value of the current environment;

[0009] Continuously collect multiple groups of data within a preset time period, and each group of data includes:

[0010] Obtain the first temperature and the first relative humidity at the gap of the door and window through the first temperature and humidity sensor probe;

[0011] Obtain the second temperature and the second relative humidity in the room through the second temperature and humidity sensor probe;

[0012] Based on the atmospheric pressure value, the first temperature and the first relative humidity, calculate the first actual water vapor pressure, the first absolute moisture content and the first dew point temperature corresponding to each group of data at the gap of the door and window respectively;

[0013] Based on the atmospheric pressure value, the second temperature and the second relative humidity, calculate the second actual water vapor pressure, the second absolute moisture content and the second dew point temperature corresponding to each group of data in the room respectively;

[0014] Perform data processing on the first actual water vapor pressure, the first absolute moisture content, the first dew point temperature and the corresponding second actual water vapor pressure, the second absolute moisture content and the second dew point temperature;

[0015] In the summer mode, if the first actual water vapor pressure after data processing is greater than the second actual water vapor pressure, the first absolute moisture content is greater than the second absolute moisture content, or the first dew point temperature is greater than the second dew point temperature, it is determined that the door and window leaks air; in the winter mode, if the first actual water vapor pressure after data processing is less than the second actual water vapor pressure, the first absolute moisture content is less than the second absolute moisture content, or the first dew point temperature is less than the second dew point temperature, it is determined that the door and window leaks air.

[0016] Further, the calculation methods of the first actual water vapor pressure and the second actual water vapor pressure are as follows:

[0017]

[0018] Wherein, The actual water vapor pressure, in the unit of hPa, is the first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, in the unit of °C, is the first relative humidity or the second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, is the base of the natural logarithm, ;

[0019] The calculation methods of the first absolute moisture content and the second absolute moisture content are as follows:

[0020]

[0021] where, is the absolute moisture content, with the unit of g / kgDA, is the measured value of atmospheric pressure, with the unit of hPa, and the standard atmospheric pressure is 1013.25 hPa;

[0022] The calculation methods of the first dew point temperature and the second dew point temperature are as follows:

[0023]

[0024] where, is the dew point temperature, with the unit of °C.

[0025] Further, the method further includes triggering an alarm signal when detecting air leakage, and the alarm signal includes at least one of an audible and visual alarm and a voice prompt.

[0026] Further, judge the season mode according to the indoor or outdoor temperature.

[0027] Further, the data processing includes: after removing the maximum value and the minimum value from multiple groups of data collected within a preset time period, taking the average value of the remaining data as the stable value; or using a sliding window algorithm to perform weighted averaging on continuous data, where the weight of recent data is higher than that of early data.

[0028] To achieve the above object, a second aspect of the present invention provides a door and window airtightness detection system, including:

[0029] An atmospheric pressure sensor probe for detecting the atmospheric pressure value of the current environment;

[0030] A first temperature and humidity sensor probe configured on a retractable movable rod for detecting the first temperature and the first relative humidity at the door and window gap;

[0031] A second temperature and humidity sensor probe connected to the detection system through a plug-in interface and arranged at a predetermined position in the room away from the door and window for detecting the second temperature and the second relative humidity in the room;

[0032] A control system communicatively connected to the atmospheric pressure sensor probe, the first temperature and humidity sensor probe, and the second temperature and humidity sensor probe, and the control system includes:

[0033] A data acquisition module, configured to continuously acquire the atmospheric pressure value, the first temperature, the first relative humidity, the second temperature, and the second relative humidity within a preset time period;

[0034] A calculation module, which calculates the first actual water vapor pressure, the first absolute moisture content, and the first dew point temperature at the door and window gaps based on the atmospheric pressure value, the first temperature, and the first relative humidity, and calculates the second actual water vapor pressure, the second absolute moisture content, and the second dew point temperature indoors based on the atmospheric pressure value, the second temperature, and the second relative humidity;

[0035] A data processing module, which processes the first actual water vapor pressure, the first absolute moisture content, the first dew point temperature in the first parameter, and the second actual water vapor pressure, the second absolute moisture content, and the second dew point temperature in the second parameter to obtain the stable values of each parameter;

[0036] A judgment module, which compares the first parameter and the second parameter in the stable values according to a preset summer mode or winter mode. If the first parameter continuously exceeds the second parameter in the summer mode or the first parameter continuously is less than the second parameter in the winter mode, it is determined that there is air leakage in the doors and windows.

[0037] Furthermore, the system further includes a display module, configured to display the detection data, the parameter calculation results, and the air leakage judgment results in real time.

[0038] Furthermore, the system further includes an alarm module, configured to trigger an audible and visual alarm or a voice prompt when air leakage is determined; the alarm module includes an LED indicator light, a buzzer, and a voice synthesis unit.

[0039] Furthermore, the system further includes a power supply module, including a rechargeable battery and a charging interface, to supply power to the system.

[0040] Furthermore, in the calculation module:

[0041] The calculation formula for the actual water vapor pressure is:

[0042]

[0043] Wherein, The actual water vapor pressure, in hPa, is the first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, in °C, is the first relative humidity or the second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, is the base of the natural logarithm, ;

[0044] The calculation formula for absolute moisture content is:

[0045]

[0046] Wherein, is the absolute moisture content, with the unit of g / kgDA, is the measured value of atmospheric pressure, with the unit of hPa, and the standard atmospheric pressure is 1013.25 hPa;

[0047] The calculation formula for dew point temperature is:

[0048]

[0049] Wherein, is the dew point temperature, with the unit of °C.

[0050] Advantages of the present invention:

[0051] Compared with the prior art, a method and system for detecting the airtightness of doors and windows provided by the present invention collect temperature and humidity data in real time by placing temperature and humidity sensor probes at the door and window seams and indoors, and combine with the atmospheric pressure value to calculate parameters such as water vapor pressure, moisture content, and dew point temperature. These parameters are processed, and according to the summer and winter modes, the parameter differences between the door and window seams and indoors are compared to determine whether there is air leakage. If it is detected that the water vapor pressure, moisture content, or dew point temperature at the door and window seams is greater than the corresponding parameters indoors, the alarm system is triggered to give an audible and visual or voice prompt. This method overcomes the problems of low efficiency and insufficient accuracy of traditional detection methods, and is particularly suitable for scenarios with high requirements for the airtightness of doors and windows in radiant air conditioning systems. Description of the Drawings

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments.

[0053] Figure 1 is the structural schematic diagram of a door and window airtightness detection system disclosed in an embodiment of the present invention.

[0054] Figure 2 is the flowchart of a method for detecting the airtightness of doors and windows disclosed in an embodiment of the present invention.

[0055] Reference numerals: 1, the first temperature and humidity sensor probe; 2, the second temperature and humidity sensor probe; 3, the atmospheric pressure sensor probe; 4, the control system; 5, the display module; 6, the charging interface; 7, the alarm module; 8, the telescopic movable rod; 9, the connecting wire; 10, the interface. Detailed Embodiments

[0056] To enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solution in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0057] According to the embodiments of the present invention, it should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the following methods, in some cases, the steps shown or described can be executed in a different order than here.

[0058] The airtightness detection system of the present invention is composed of the following components (see Figure 1 ):

[0059] Atmospheric pressure sensor probe 3: A high-precision digital pressure sensor (such as BMP280) is used, installed on the system shell, to automatically detect the atmospheric pressure value (unit: hPa) at the detection location in real time, obtain the atmospheric pressure data at the detection location, so as to accurately calculate the moisture content in the air, and communicate with the control system 4 through the I²C interface.

[0060] The first temperature and humidity sensor probe 1: A digital temperature and humidity integrated sensor (such as SHT35) is selected and fixed at the end probe of the telescopic movable rod 8. The telescopic movable rod 8 adopts a multi-section nested structure, and the length adjustment range is 0.5 - 2 meters. The position can be locked by a manual knob to adapt to the detection requirements of door and window gaps at different heights.

[0061] The second temperature and humidity sensor probe 2: It has the same model as the first temperature and humidity sensor probe 1, is connected to the host through the plug-in interface 10 of the connection line 9, and is arranged at the center position of the room, at least 3 meters away from the doors and windows. The interface 10 is designed as a multi-channel independent channel (for example, 4 channels), supporting the simultaneous access of multiple second temperature and humidity sensor probes 2 for multi-point monitoring of the indoor environment.

[0062] It should be noted that at least two groups of temperature and humidity sensor probes are set in the present invention. Among them, the first group is used to detect the temperature and humidity at the door and window seams, and the second group detects the temperature and humidity at a certain place far from the doors and windows in the room where the doors and windows are located. The temperature and humidity sensors in the first group for the door and window seams are equipped with telescopic rods and can be telescoped according to the length of the test point; the temperature and humidity sensors for indoor room detection can be connected to the instrument by plugging, and multiple sockets are reserved. Among them, the first temperature and humidity sensor probe 1 and the second temperature and humidity sensor probe 2 can be designed to be self-charging and achieve wireless communication connections, such as ROLA and Bluetooth communication.

[0063] Control System 4: Integrated on the main control circuit board, including a microprocessor (such as the STM32F4 series), a data storage unit (Flash memory), and a communication module (Bluetooth / Wi-Fi), used to control the detection process, including detecting large pressure, collecting temperature and humidity data, calculating the moisture content or water vapor pressure at different points, dew point temperature, and performing data analysis processing, etc.

[0064] Display Module 5: Adopts a 5-inch touch screen (IPS liquid crystal screen), embedded with a graphical operation interface, supporting real-time data display, parameter setting (such as sampling frequency, alarm threshold), historical record query, and mode switching functions, that is, this display module 5 can display the detection results and the operation interface in real time.

[0065] Alarm Module 7: Includes RGB three-color LED indicators (red, yellow, green), a piezoelectric buzzer, and a voice synthesis chip (such as SYN6288), to achieve audible, visual, and voice graded alarms.

[0066] Power Module: Built-in lithium polymer battery (capacity 5000 mAh), equipped with a Type-C charging interface 6 and a power management chip (such as TP4056), integrated with a low battery detection circuit (voltage comparator circuit), triggering an alarm prompt when the battery voltage is lower than 3.3V. This power module is a rechargeable battery, with a common charging interface and a power switch.

[0067] The working process of this embodiment includes the following steps:

[0068] Step 1: Extend the first temperature and humidity sensor probe 1 to the window and door gap (such as the contact part between the window frame and the glass) through the telescopic moving rod 8, ensuring that the distance between the probe and the gap is ≤5 cm. Insert the second temperature and humidity sensor probe 2 into the interface 10 and place it at the center position of the room (avoiding the air outlet of the air conditioner). Turn on the power, and the system performs self-check and displays the sensor connection status and the current battery level through the touch screen.

[0069] Step 2: The data acquisition module continuously acquires the following data at a frequency of 1 Hz (for 60 seconds): atmospheric pressure value (hPa), the temperature (°C) and relative humidity (%) at the window and door gap, the indoor temperature (°C) and relative humidity (%).

[0070] The calculation module calculates the key parameters in real time based on the aforementioned formula:

[0071] Actual water vapor pressure ( ), (unit hPa)

[0072] Absolute moisture content ( ), (unit: g / kg DA)

[0073] Dew point temperature ( ), (unit: °C)

[0074] The parameters at the door and window gaps are calculated ( 、 、 ), and the indoor parameters ( 、 、 ).

[0075] Step 3: The data processing module uses the sliding window weighted average algorithm (window length: 10 seconds, weight distribution: weight of the data in the most recent 5 seconds is 0.7, weight of the historical 5 seconds is 0.3) to perform dynamic smoothing processing on the continuously collected 、 、 values to eliminate instantaneous fluctuation interference and output stable values. When the standard deviation of the processed data for 10 consecutive groups is less than the set threshold (e.g., value fluctuation ≤ 0.5 hPa), it is determined that the data is stable and proceeds to the next judgment.

[0076] Step 4: The judgment module automatically selects the season mode according to the following logic: If the outdoor temperature is less than 18 °C, the winter mode is enabled; if the outdoor temperature is greater than 26 °C, the summer module is enabled.

[0077] In the summer mode, the judgment condition for air leakage is: If the > 、 > or > and it lasts for more than 30 seconds, it is determined as air leakage;

[0078] In the winter mode, the judgment condition for air leakage is: If the < 、 < or < and it lasts for more than 30 seconds, it is determined as air leakage.

[0079] When the outdoor absolute humidity > 22 g / kg DA, if the < 13.5 g / kg DA or < 18 °C at the door and window gaps, it is regarded as acceptable air leakage, otherwise an alarm is triggered.

[0080] Step 5: The display module 5 displays in real time: / 、 / 、 / The real-time curve of the change trend over time; the parameter differences are distinguished by colors (for example, red indicates exceeding the standard). In the response strategy of the alarm module 7: the yellow light flashes, the buzzer sounds intermittently, and the voice prompts "Slight air leakage detected" (single parameter exceeding the standard); the red light is always on, the buzzer sounds continuously, and the voice prompts "Serious air leakage detected, please handle immediately" (multiple parameters exceeding the standard).

[0081] Through the portable design, automatic calculation and intelligent alarm function, the present invention significantly improves the efficiency and accuracy of the airtightness detection of doors and windows, and can be widely applied to building acceptance, operation and maintenance of radiant air conditioning systems, and energy-saving renovation projects.

[0082] Based on the airtightness detection system of doors and windows provided in the above embodiments, the present invention also provides a method for detecting the airtightness of doors and windows, which specifically includes the following steps (see specifically Figure 2 ):

[0083] Step S100: Arrange the first temperature and humidity sensor probe at the gap of the door and window to be detected, and arrange the second temperature and humidity sensor probe at a predetermined position far from the door and window indoors;

[0084] Step S200: Detect the atmospheric pressure value of the current environment;

[0085] Step S300: Continuously collect multiple groups of data within a preset time period, and each group of data includes:

[0086] Step S400: Obtain the first temperature and the first relative humidity at the gap of the door and window through the first temperature and humidity sensor probe;

[0087] Step S500: Obtain the second temperature and the second relative humidity indoors through the second temperature and humidity sensor probe;

[0088] Step S600: Based on the atmospheric pressure value, the first temperature and the first relative humidity, calculate the first actual water vapor pressure, the first absolute moisture content and the first dew point temperature corresponding to each group of data at the gap of the door and window respectively;

[0089] Step S700: Based on the atmospheric pressure value, the second temperature and the second relative humidity, calculate the second actual water vapor pressure, the second absolute moisture content and the second dew point temperature corresponding to each group of data indoors respectively;

[0090] Step S800: Perform data processing on the first actual water vapor pressure, the first absolute moisture content, the first dew point temperature and the corresponding second actual water vapor pressure, the second absolute moisture content and the second dew point temperature to obtain the stable values of each parameter;

[0091] Step S900: In the summer mode, if the first actual water vapor pressure after stabilization is greater than the second actual water vapor pressure, the first absolute moisture content is greater than the second absolute moisture content, or the first dew point temperature is greater than the second dew point temperature and lasts for more than a preset duration, it is determined that there is air leakage through the doors and windows; in the winter mode, if the first actual water vapor pressure after stabilization is less than the second actual water vapor pressure, the first absolute moisture content is less than the second absolute moisture content, or the first dew point temperature is less than the second dew point temperature and lasts for more than a preset duration, it is determined that there is air leakage through the doors and windows.

[0092] From the steps of the above detection method, it can be seen that the present invention utilizes the fact that different moisture contents in the air result in different water vapor pressures. A larger moisture content leads to a higher water vapor pressure. Since the moisture contents of the outdoor and indoor air are different, a water vapor pressure difference will be generated at the leakage points of the doors and windows, causing the penetration of water vapor. The "dry bulb temperature" and "relative humidity" at the penetration points can be easily measured by the temperature and humidity sensors, and then the water vapor pressure, moisture content, and dew point temperature at the measured points can be calculated using the Magnus formula. One measuring point of the temperature and humidity sensor is placed at the door and window joints, and the other is placed at a certain position in the center of the room. By measuring the "dry bulb temperature" and "relative humidity" at the two points and automatically calculating the water vapor pressure at the measured points, it is possible to determine whether there is air leakage at the door and window joints by comparing the water vapor pressures at the two measured points.

[0093] In the method embodiment, data processing includes removing the maximum and minimum values from multiple groups of data collected within a preset time period and taking the average of the remaining data as the stable value; or using a sliding window algorithm to perform weighted averaging on continuous data, where the weights of recent data are higher than those of early data.

[0094] The technical solution of the present invention will be described in detail below in combination with experimental data. In this embodiment, the parents' room on the first floor (with relatively large leakage) and the boy's room on the second floor (with less leakage) are selected as test objects. The temperature and humidity data of the door and window joints and the center of the room at the two locations are collected respectively, and airtightness analysis is performed based on the method of the present invention.

[0095] Experimental data 1 (parents' room on the first floor, with relatively large leakage):

[0096] Table 1 shows typical data segments collected from 15:44:00 to 15:54:00:

[0097]

[0098] In Table 1, the moisture content ( ) at the window joints is significantly higher than that indoors (such as 11.9579262 VS. 9.94916247), and the dew point temperature ( ) continuously remains higher than that indoors ( (e.g., 16.79 VS. 13.98). According to the summer mode determination logic (gap parameter > indoor parameter), the system triggers a leakage alarm, which is consistent with the actual situation of relatively large leakage.

[0099] Experimental data 2 (boy's room on the second floor, less leakage):

[0100] Table 2 shows typical data segments collected from 15:41:00 to 15:54:00:

[0101]

[0102] In Table 2, the moisture content at the door gap ( ) is lower than that indoors (e.g., 10.82896 VS. 11.5927845), and the dew point temperature ( ) continuously remains lower than that indoors ( ) (e.g., 15.27 VS. 16.32). According to the summer mode determination logic (gap parameter < indoor parameter), the determination threshold is not reached, and the system does not alarm, which is consistent with the actual situation of good sealing.

[0103] In Experimental data 1, due to the infiltration of external hot and humid air at the gap, the dew point temperature ( ) is significantly higher than that indoors, while in Experimental data 2, no obvious difference is formed due to good sealing. If switched to the winter mode, the detection of dry air leakage can be realized by reverse comparison (gap parameter < indoor parameter), verifying the environmental adaptability of the algorithm.

[0104] Existing technologies mostly rely on single temperature and humidity comparison, while the present invention calculates through triple coupling of water vapor pressure, moisture content, and dew point temperature (such as the synchronization anomaly between and in Table 1), significantly reducing the misjudgment rate. Traditional methods require manual setting of fixed thresholds, while the present invention automatically switches the determination direction through the seasonal mode (e.g., "gap > indoor" in summer vs. "gap < indoor" in winter), solving the problem of detection logic conflicts under different climate conditions. If the winter mode is forcibly adopted in Table 1, false alarms will occur, while the adaptive logic of this system avoids this problem. Experimental data show that the system can achieve professional equipment-level accuracy only with temperature and humidity sensors and air pressure sensors, and there is no need for complex differential pressure control (compared with the tracer gas method), and the equipment cost is reduced by more than 70%.

[0105] In the above embodiments of the present invention, the descriptions of each embodiment have their own emphases. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0106] In several embodiments provided by this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of units or modules can be in an electrical or other form.

[0107] In addition, in each embodiment of the present invention, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0108] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for detecting the airtightness of doors and windows, characterized in that, The detection method includes the following steps: Arrange the first temperature and humidity sensor probe at the door and window gap to be detected, and arrange the second temperature and humidity sensor probe at a predetermined position in the room away from the door and window; Detect the atmospheric pressure value of the current environment; Continuously collect multiple groups of data within a preset time period, and each group of data includes: Obtain the first temperature and the first relative humidity at the door and window gap through the first temperature and humidity sensor probe; Obtain the second temperature and the second relative humidity in the room through the second temperature and humidity sensor probe; Based on the atmospheric pressure value, the first temperature and the first relative humidity, calculate the first actual vapor pressure, the first absolute moisture content and the first dew point temperature at the door and window gap corresponding to each group of data respectively; Based on the atmospheric pressure value, the second temperature and the second relative humidity, calculate the second actual vapor pressure, the second absolute moisture content and the second dew point temperature in the room corresponding to each group of data respectively; Perform data processing on the first actual vapor pressure, the first absolute moisture content, the first dew point temperature and the corresponding second actual vapor pressure, the second absolute moisture content and the second dew point temperature; In the summer mode, if the first actual vapor pressure after data processing is greater than the second actual vapor pressure, the first absolute moisture content is greater than the second absolute moisture content, or the first dew point temperature is greater than the second dew point temperature, it is determined that the door and window leaks air; in the winter mode, if the first actual vapor pressure after data processing is less than the second actual vapor pressure, the first absolute moisture content is less than the second absolute moisture content, or the first dew point temperature is less than the second dew point temperature, it is determined that the door and window leaks air.

2. The method for detecting the airtightness of doors and windows according to claim 1, characterized in that, The calculation methods of the first actual vapor pressure and the second actual vapor pressure are: wherein, actual water vapor pressure, unit: hPa, is the first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, unit: °C, is the first relative humidity or the second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, is the base of the natural logarithm, ; The calculation methods of the first absolute moisture content and the second absolute moisture content are: Among them, is the absolute moisture content, with the unit of g / kgDA, is the measured value of atmospheric pressure, with the unit of hPa, and the standard atmospheric pressure is 1013.25 hPa; The calculation methods of the first dew point temperature and the second dew point temperature are: Among them, is the dew point temperature, in °C.

3. The method for detecting the airtightness of doors and windows according to claim 1, characterized in that, The method further includes triggering an alarm signal when detecting air leakage, and the alarm signal includes at least one of an audible and visual alarm and a voice prompt.

4. The method for detecting the airtightness of doors and windows according to claim 1, characterized in that, Judge the season mode according to the indoor or outdoor temperature.

5. The method for detecting the airtightness of doors and windows according to claim 1, characterized in that, The data processing includes: after removing the maximum and minimum values from multiple groups of data collected within a preset time period, taking the average value of the remaining data as the stable value; or using a sliding window algorithm to perform weighted averaging on continuous data, where the weight of recent data is higher than that of early data.

6. A door and window airtightness detection system, characterized in that, Include: An atmospheric pressure sensor probe for detecting the atmospheric pressure value of the current environment; A first temperature and humidity sensor probe configured on a telescopic movable rod for detecting the first temperature and the first relative humidity at the door and window gap; A second temperature and humidity sensor probe connected to the detection system through a plug-in interface and arranged at a predetermined position in the room away from the door and window for detecting the second temperature and the second relative humidity in the room; A control system communicatively connected to the atmospheric pressure sensor probe, the first temperature and humidity sensor probe and the second temperature and humidity sensor probe, and the control system includes: A data acquisition module for continuously obtaining the atmospheric pressure value, the first temperature, the first relative humidity, the second temperature and the second relative humidity within a preset time period; A calculation module that calculates the first actual water vapor pressure, the first absolute moisture content, and the first dew point temperature at the door and window gaps based on the atmospheric pressure value, the first temperature, and the first relative humidity, and calculates the second actual water vapor pressure, the second absolute moisture content, and the second dew point temperature indoors based on the atmospheric pressure value, the second temperature, and the second relative humidity; A data processing module that processes the data of the first actual water vapor pressure, the first absolute moisture content, and the first dew point temperature in the first parameter and the second actual water vapor pressure, the second absolute moisture content, and the second dew point temperature in the second parameter to obtain the stable values of each parameter; A judgment module that compares the first parameter with the second parameter in the stable values according to the preset summer mode or winter mode. If the first parameter continuously exceeds the second parameter in the summer mode or the first parameter continuously is less than the second parameter in the winter mode, it is determined that there is air leakage in the doors and windows.

7. The airtightness detection system for doors and windows according to claim 6, wherein, The system further includes: a display module for real-time displaying the detection data, the parameter calculation results, and the air leakage judgment results.

8. The airtightness detection system for doors and windows according to claim 6, wherein The system further includes: an alarm module for triggering an audible and visual alarm or a voice prompt when air leakage is determined; the alarm module includes an LED indicator light, a buzzer, and a voice synthesis unit.

9. The airtightness detection system for doors and windows according to claim 6, wherein The system further includes: a power supply module including a rechargeable battery and a charging interface for supplying power to the system.

10. The airtightness detection system for doors and windows according to claim 6, characterized in that, In the calculation module: The calculation formula for the actual water vapor pressure is: Among them, Actual water vapor pressure, unit: hPa, is the first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, unit: °C, is the first relative humidity or the second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, is the base of the natural logarithm, ; The calculation formula for the absolute moisture content is: wherein, is the absolute moisture content, with the unit of g / kgDA, is the measured value of atmospheric pressure, with the unit of hPa, and the standard atmospheric pressure is 1013.25 hPa; The calculation formula for the dew point temperature is: Among them, is the dew point temperature, in °C.

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