Door and window air tightness detection method and system

Abstract

The invention relates to the technical field of building door and window air tightness detection, in particular to a door and window air tightness detection method and system, atmospheric pressure is detected in real time by installing temperature and humidity sensor probes at a door and window gap and an indoor remote position, and temperature and humidity data of the two positions 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, the absolute moisture content and the dew point temperature of the gap and the indoor space are automatically calculated through the detected two parameters of the temperature and the humidity. In the summer mode, if the calculated value at the gap is higher than the indoor calculated value automatically calculated through the detected temperature and humidity parameters, air leakage is judged; and vice versa in winter mode. The air tightness is automatically detected through temperature and humidity dynamic analysis, the problems that a traditional method is low in efficiency and poor in precision are solved, and the method has the advantages of being rapid, accurate and high in environmental adaptability.

Description

Technical Field

[0001] The invention relates to the technical field of air tightness detection of building doors and windows, and in particular to a method and system for detecting air tightness of doors and windows. Background Art

[0002] With the continuous improvement of building energy-saving standards, the air tightness of doors and windows has become one of the core indicators for measuring the performance of building envelope structures. Especially in the radiation air conditioning system (five constant systems), the air tightness of doors and windows is directly related to the realization of indoor constant temperature, constant humidity, constant oxygen and other goals. If the sealing of doors and windows is not sufficient, the penetration of external air through the gaps will cause the indoor temperature and humidity to be out of control, and even cause condensation on the surface of the radiation end, mildew on the wall and other problems. Therefore, efficient and accurate door and window air tightness detection technology is of great significance to ensure the energy-saving effect of buildings and the healthy living environment.

[0003] Traditional methods for testing the air tightness of doors and windows mainly rely on manual experience or simple tools, such as hand-feel observation, smoke test and paper test. Although such methods are easy to operate, they have obvious defects: the test results are greatly affected by subjective factors, the degree of air leakage cannot be quantitatively analyzed, and the ability to identify tiny leaks is insufficient. Although professional testing methods (such as differential pressure air tightness testers, tracer gas method testers, etc.) can provide higher accuracy, their equipment is bulky, the operation process is complicated, the testing cost is high, and it is necessary to rely on professionals to build the test environment on site, which is difficult to meet the needs of rapid screening of a large number of doors and windows in the construction acceptance of radiation air conditioning systems. In addition, most of the existing testing equipment is based on the principle of air pressure difference or gas tracking, and it is necessary to form a stable pressure difference or release specific gases on both sides of the doors and windows. It is easily disturbed in complex building environments and is difficult to adapt to the dynamic testing needs under different seasons and climatic conditions.

[0004] In recent years, the popularity of radiant air conditioning systems has put forward higher requirements for the air tightness detection of doors and windows: on the one hand, it is necessary to quickly locate the air leakage points during the construction phase to optimize the sealing process; on the other hand, regular inspections are required during the operation and maintenance phase to prevent performance degradation caused by aging of doors and windows. However, the existing technology lacks a lightweight, automated detection solution that can reflect the difference between the gaps between doors and windows and the indoor environmental parameters in real time. Although some studies have attempted to indirectly evaluate air tightness 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 infiltration of hot and humid air in summer and leakage of dry air in winter). Summary of the invention

[0005] The present invention provides a door and window air tightness detection method and system, which aims to solve the problems of low efficiency, poor accuracy and reliance on bulky equipment in traditional door and window air tightness detection methods.

[0006] To achieve the above object, the present invention provides a method for detecting air tightness of doors and windows in a first aspect, comprising the following steps: The first temperature and humidity sensor probe is arranged at the gap of the door and window to be detected, and the second temperature and humidity sensor probe is arranged at a predetermined position indoors away from the door and window; Detect the atmospheric pressure value of the current environment; Multiple sets of data are collected continuously within a preset time period, each set of data includes: Acquire a first temperature and a first relative humidity at the door and window gap by using the first temperature and humidity sensor probe; Acquire a second temperature and a second relative humidity in the room by using the second temperature and humidity sensor probe; Based on the atmospheric pressure value, the first temperature and the first relative humidity, respectively calculating a first actual water vapor pressure, a first absolute moisture content and a first dew point temperature at the door and window gap corresponding to each set of data; Based on the atmospheric pressure value, the second temperature and the second relative humidity, respectively calculating a second actual water vapor pressure, a second absolute humidity content and a second dew point temperature in the room corresponding to each set of data; Performing 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; In summer mode, if the first actual water vapor pressure after data processing is greater than the second actual water vapor pressure, the first absolute humidity content is greater than the second absolute humidity content, or the first dew point temperature is greater than the second dew point temperature, it is judged that the doors and windows are leaking; in winter mode, if the first actual water vapor pressure after data processing is less than the second actual water vapor pressure, the first absolute humidity content is less than the second absolute humidity content, or the first dew point temperature is less than the second dew point temperature, it is judged that the doors and windows are leaking.

[0007] Furthermore, the first actual water vapor pressure and the second actual water vapor pressure are calculated as follows: in, The actual water vapor pressure, in hPa, The first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, in °C. a first relative humidity or a second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, represents the base of natural logarithms, ; The first absolute moisture content and the second absolute moisture content are calculated as follows: in, is the absolute moisture content, in g / kgDA, It is the atmospheric pressure measurement value, unit is hPa, the standard atmospheric pressure is 1013.25hPa; The first dew point temperature and the second dew point temperature are calculated as follows: in, is the dew point temperature, unit is ℃.

[0008] Furthermore, the method also includes triggering an alarm signal when air leakage is detected, and the alarm signal includes at least one of an audible and visual alarm and a voice prompt.

[0009] Furthermore, the seasonal pattern is determined based on the indoor or outdoor temperature.

[0010] Furthermore, the data processing includes: removing the maximum and minimum values ​​from multiple sets of data collected within a preset time period, and taking the average value of the remaining data as a stable value; or using a sliding window algorithm to perform weighted averaging on continuous data, wherein recent data has a higher weight than earlier data.

[0011] To achieve the above object, the second aspect of the present invention provides a door and window air tightness detection system, comprising: Atmospheric pressure sensor probe, used to detect the atmospheric pressure value of the current environment; A first temperature and humidity sensor probe is disposed on the telescopic movable rod and is used to detect a first temperature and a first relative humidity at the gap of the door or window; A second temperature and humidity sensor probe is connected to the detection system through a plug interface and is arranged at a predetermined position indoors away from doors and windows, and is used to detect a second temperature and a second relative humidity indoors; A control system is communicatively connected with 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, used for continuously acquiring 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, which calculates a first actual water vapor pressure, a first absolute moisture content and a first dew point temperature at the door and window gap based on the atmospheric pressure value, the first temperature and the first relative humidity, and calculates a second actual water vapor pressure, a second absolute moisture content and a second dew point temperature in the room based on the atmospheric pressure value, the second temperature and the second relative humidity; a data processing module, performing data processing on the first actual water vapor pressure, the first absolute moisture content, and the first dew point temperature in the first parameter and on the second actual water vapor pressure, the second absolute moisture content, and the second dew point temperature in the second parameter to obtain a stable value of each parameter; The judgment module compares the first parameter and the second parameter in the stable value according to the preset summer mode or winter mode. If the first parameter in the summer mode is continuously greater than the second parameter or the first parameter in the winter mode is continuously less than the second parameter, it is determined that there is air leakage in the doors and windows.

[0012] Furthermore, the system also includes a display module for displaying the detection data, parameter calculation results and air leakage judgment results in real time.

[0013] Furthermore, the system also 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.

[0014] Furthermore, the system also includes a power module, including a rechargeable battery and a charging interface, to provide power for the system.

[0015] Furthermore, in the calculation module: The actual water vapor pressure is calculated as: in, The actual water vapor pressure, in hPa, The first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, in °C. a first relative humidity or a second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, represents the base of natural logarithms, ; The calculation formula for absolute moisture content is: in, is the absolute moisture content, in g / kgDA, It is the atmospheric pressure measurement value, unit is hPa, the standard atmospheric pressure is 1013.25hPa; The calculation formula for dew point temperature is: in, is the dew point temperature, unit is ℃.

[0016] Beneficial effects of the present invention: Compared with the prior art, the present invention provides a door and window air tightness detection method and system, which collects temperature and humidity data in real time by placing temperature and humidity sensor probes at the door and window gaps and in the room, and calculates parameters such as water vapor pressure, moisture content and dew point temperature in combination with the atmospheric pressure value. These parameters are processed, and the parameter differences at the door and window gaps and indoors are compared according to the summer and winter modes to determine whether there is air leakage. If the water vapor pressure, moisture content or dew point temperature at the door and window gaps is detected to be greater than the corresponding parameters indoors, the alarm system is triggered to emit sound, light or voice prompts. This method overcomes the problems of low efficiency and insufficient precision of traditional detection methods, and is particularly suitable for scenarios in radiant air conditioning systems that have high requirements for door and window air tightness. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments.

[0018] Figure 1 It is a structural principle diagram of a door and window air tightness detection system disclosed in an embodiment of the present invention.

[0019] Figure 2 It is a flow chart of a door and window air tightness detection method disclosed in an embodiment of the present invention.

[0020] Figure numerals: 1. First temperature and humidity sensor probe; 2. Second temperature and humidity sensor probe; 3. Atmospheric pressure sensor probe; 4. Control system; 5. Display module; 6. Charging interface; 7. Alarm module; 8. Retractable movable rod; 9. Connecting line; 10. Interface. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0022] According to an embodiment 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 a logical order is shown in the following method, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0023] The door and window air tightness detection system of the present invention is composed of the following components (see Figure 1 ): Atmospheric pressure sensor probe 3: A high-precision digital pressure sensor (such as BMP280) is used, which is installed on the system housing to automatically detect the atmospheric pressure value (unit: hPa) of the detection site in real time, obtain the atmospheric pressure data of the detection site, so as to accurately calculate the moisture content in the air, and communicate with the control system 4 through the I²C interface.

[0024] 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 meet the needs of door and window gap detection at different heights.

[0025] Second temperature and humidity sensor probe 2: The same model as the first temperature and humidity sensor probe 1, connected to the host through the plug-in interface 10 of the connecting line 9, and arranged in the center of the room, at least 3 meters away from doors and windows. The interface 10 is designed as multiple independent channels (for example, 4 channels), supporting the simultaneous access of multiple second temperature and humidity sensor probes 2 to monitor the indoor environment at multiple points.

[0026] It should be noted that the temperature and humidity sensor probes provided in the present invention are at least two groups, wherein the first group is used to detect the temperature and humidity at the gaps of doors and windows, and the second group detects the temperature and humidity at a place far away from the doors and windows in the room where the doors and windows are located. The first group of temperature and humidity sensors used at the gaps of doors and windows is equipped with a retractable rod, which can be retracted and operated according to the distance of the test point; the temperature and humidity sensors used for indoor room detection can be connected to the instrument by plug-in connection, and multiple sockets are reserved, wherein the first temperature and humidity sensor probe 1 and the second temperature and humidity sensor probe 2 can be designed with self-charging to realize wireless communication connection, such as ROLA and Bluetooth communication.

[0027] Control system 4: integrated in the main control circuit board, including a microprocessor (such as STM32F4 series), a data storage unit (Flash memory) and a communication module (Bluetooth / Wi-Fi), used to control the detection process, including detecting maximum pressure, temperature and humidity data collection, calculating moisture content or water vapor pressure and dew point temperature at different points, and performing data analysis.

[0028] Display module 5: It adopts a 5-inch touch screen (IPS LCD screen) with a built-in graphical operation interface, supporting real-time data display, parameter setting (such as sampling frequency, alarm threshold), history query and mode switching functions, that is, the display module 5 can display the test results and operation interface in real time.

[0029] Alarm module 7: includes RGB three-color LED indicator light (red, yellow, green), piezoelectric buzzer and speech synthesis chip (such as SYN6288), to realize sound, light and voice graded alarm.

[0030] Power module: built-in lithium polymer battery (capacity 5000mAh), equipped with Type-C charging interface 6 and power management chip (such as TP4056), integrated low battery detection circuit (voltage comparator circuit), when the battery voltage is lower than 3.3V, trigger an alarm prompt. This power module is a rechargeable battery with a universal charging interface and power switch.

[0031] The workflow of this embodiment includes the following steps: Step 1: Extend the first temperature and humidity sensor probe 1 to the gap between the door and window (such as the contact point between the window frame and the glass) through the retractable movable rod 8, and ensure that the distance between the probe and the gap is ≤5cm. Plug the second temperature and humidity sensor probe 2 into the interface 10 and place it in the center of the room (avoid the air outlet of the air conditioner). Turn on the power, the system self-checks and displays the sensor connection status and current power on the touch screen.

[0032] Step 2: The data acquisition module continuously collects the following data at a frequency of 1 Hz (for 60 seconds): atmospheric pressure value (hPa), temperature at the gaps between doors and windows (℃) and relative humidity (%), indoor temperature (℃) and relative humidity (%).

[0033] The calculation module calculates key parameters in real time based on the above formula: Actual water vapor pressure ( ), (unit: hPa) Absolute moisture content ( ), (unit: g / kg DA) Dew point temperature ( ), (unit ℃) Calculate the parameters of the door and window gaps ( , , ) and indoor parameters ( , , ).

[0034] Step 3: The data processing module uses a sliding window weighted average algorithm (window length 10 seconds, weight distribution: the weight of the latest 5 seconds of data is 0.7, and the weight of the historical 5 seconds is 0.3) to collect continuously , , The value is dynamically smoothed to eliminate instantaneous fluctuation interference and output a stable value. When the standard deviation of 10 consecutive groups of processed data is less than the set threshold (such as Value fluctuation ≤0.5hPa), determine the data is stable and proceed to the next step.

[0035] 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 mode is enabled.

[0036] In summer mode, the air leakage judgment condition is: if the stable > , > or > If it lasts for more than 30 seconds, it is considered as air leakage; In winter mode, the judgment condition for air leakage is: if the stable < , < or < If the leakage lasts for more than 30 seconds, it is considered as air leakage.

[0037] When the outdoor absolute humidity >22g / kg DA, if the gaps in doors and windows <13.5 g / kg DA or <18℃ is considered as acceptable air leakage, otherwise an alarm will be triggered.

[0038] Step 5: Display module 5 displays in real time: / , / , / Real-time curve of the trend over time; use color to distinguish parameter differences (such as red indicates exceeding the standard). In the response strategy of alarm module 7: the yellow light flashes, the buzzer sounds intermittently, and the voice prompt "minor air leakage detected" (single parameter exceeds the standard); the red light is always on, the buzzer sounds continuously, and the voice prompt "serious air leakage detected, please deal with it immediately" (multiple parameters exceed the standard).

[0039] The present invention significantly improves the efficiency and accuracy of door and window air tightness detection through portable design, automatic calculation and intelligent alarm functions, and can be widely used in building acceptance, radiation air conditioning system operation and maintenance, and energy-saving renovation projects.

[0040] Based on the above embodiment, the present invention also provides a door and window air tightness detection system, which specifically includes the following steps (see Figure 2 ): Step S100, placing a first temperature and humidity sensor probe at a door and window gap to be detected, and placing a second temperature and humidity sensor probe at a predetermined position indoors away from the door and window; Step S200, detecting the atmospheric pressure value of the current environment; Step S300: continuously collect multiple sets of data within a preset time period, each set of data includes: Step S400, obtaining a first temperature and a first relative humidity at the door and window gap by using the first temperature and humidity sensor probe; Step S500, obtaining a second temperature and a second relative humidity in the room through the second temperature and humidity sensor probe; Step S600, based on the atmospheric pressure value, the first temperature and the first relative humidity, respectively calculating the first actual water vapor pressure, the first absolute moisture content and the first dew point temperature at the door and window gap corresponding to each set of data; Step S700, based on the atmospheric pressure value, the second temperature and the second relative humidity, respectively calculating the second actual water vapor pressure, the second absolute humidity content and the second dew point temperature in the room corresponding to each set of data; Step S800, performing 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 stable values ​​of the parameters; Step S900: In summer mode, if the first actual water vapor pressure after stabilization is greater than the second actual water vapor pressure, the first absolute humidity content is greater than the second absolute humidity content, or the first dew point temperature is greater than the second dew point temperature for a period of time exceeding a preset time, it is determined that the doors and windows are leaking. In winter mode, if the first actual water vapor pressure after stabilization is less than the second actual water vapor pressure, the first absolute humidity content is less than the second absolute humidity content, or the first dew point temperature is less than the second dew point temperature for a period of time exceeding a preset time, it is determined that the doors and windows are leaking.

[0041] From the steps of the above detection method, it can be known that the present invention utilizes the different moisture content in the air, and the water vapor pressure generated is also different. The higher the moisture content, the higher the water vapor pressure. The moisture content in outdoor and indoor air is different. The water vapor pressure will produce a water vapor pressure difference at the leakage of the door and window gaps, resulting in the penetration of water vapor. The temperature and humidity sensor can easily measure the "dry bulb temperature" and "relative humidity" at the penetration point, and the Magnus formula can be used to calculate the water vapor pressure, moisture content and dew point temperature of the measured point. Place one measuring point of the temperature and humidity sensor at the door and window gap, and the other measuring point at a certain place in the center of the room, measure the "dry bulb temperature" and "relative humidity" of the two points, and automatically calculate the water vapor pressure of the measured point. Compare the water vapor pressure of the two measured points to determine whether there is air leakage at the door and window gaps.

[0042] In a method embodiment, data processing includes removing the maximum and minimum values ​​from multiple sets of data collected within a preset time period and taking the average value of the remaining data as a stable value; or using a sliding window algorithm to perform weighted averaging on continuous data, wherein recent data has a higher weight than earlier data.

[0043] The technical solution of the present invention is described in detail below in combination with experimental data. This embodiment selects the parents' room on the first floor (large leakage) and the boy's room on the second floor (small leakage) as test objects, collects temperature and humidity data of the two door and window gaps and the center of the room, and performs airtightness analysis based on the method of the present invention.

[0044] Experimental data 1 (parents' room on the first floor, with large leakage): Table 1 shows a typical data segment collected from 15:44:00 to 15:54:00:

[0045] In Table 1, the moisture content at the window gap ( ) is significantly higher than that of the indoor temperature (e.g. 11.9579262 VS. 9.94916247), and the dew point temperature ( ) is higher than indoor ( ) (e.g. 16.79 VS. 13.98). According to the summer mode judgment logic (gap parameter > indoor parameter), the system triggers the air leakage alarm, which is consistent with the actual large leakage.

[0046] Experimental data 2 (boys' room on the second floor, less leakage): Table 2 shows a typical data segment collected from 15:41:00 to 15:54:00:

[0047] In Table 2, the moisture content at the door gap ( ) is lower than the indoor temperature (e.g. 10.82896 VS. 11.5927845), the dew point temperature ( ) is continuously lower than the indoor ( ) (such as 15.27 VS. 16.32). According to the summer mode judgment logic (gap parameters are smaller than indoor parameters), the judgment threshold is not reached and the system does not alarm, which is consistent with the actual situation of good sealing.

[0048] In experimental data 1, the gap is infiltrated by external hot and humid air, resulting in its dew point temperature ( ) is significantly higher than that in the room, while experimental data 2 has no significant difference due to good sealing. If switched to winter mode, dry air leakage detection can be achieved through reverse comparison (gap parameters < indoor parameters), which verifies the environmental adaptability of the algorithm.

[0049] The existing technology mostly relies on a single temperature and humidity comparison, while the present invention calculates the water vapor pressure, moisture content and dew point temperature by triple coupling (as shown in Table 1). and Synchronous abnormality), significantly reducing the false positive rate. The traditional method requires manual setting of fixed thresholds, while the present invention automatically switches the judgment direction through seasonal modes (such as "gap > indoor" in summer vs. "gap < indoor" in winter), solving the problem of detection logic conflicts under different climatic conditions. In Table 1, if the winter mode is forced to be used, false alarms will occur, but the adaptive logic of this system avoids this problem. Experimental data shows that the system only needs temperature and humidity sensors and air pressure sensors to achieve professional equipment-level accuracy, and does not require complex pressure difference control (compared with tracer gas method), reducing equipment costs by more than 70%.

[0050] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0051] In the several embodiments provided in 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 schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0052] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0053] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for detecting air tightness of doors and windows, characterized in that: The detection method comprises the following steps: The first temperature and humidity sensor probe is arranged at the gap of the door and window to be detected, and the second temperature and humidity sensor probe is arranged at a predetermined position indoors away from the door and window; Detect the atmospheric pressure value of the current environment; Multiple sets of data are collected continuously within a preset time period, each set of data includes: Acquire a first temperature and a first relative humidity at the door and window gap by using the first temperature and humidity sensor probe; Acquire a second temperature and a second relative humidity in the room by using the second temperature and humidity sensor probe; Based on the atmospheric pressure value, the first temperature and the first relative humidity, respectively calculating a first actual water vapor pressure, a first absolute moisture content and a first dew point temperature at the door and window gap corresponding to each set of data; Based on the atmospheric pressure value, the second temperature and the second relative humidity, respectively calculating a second actual water vapor pressure, a second absolute humidity content and a second dew point temperature in the room corresponding to each set of data; Performing 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; In summer mode, if the first actual water vapor pressure after data processing is greater than the second actual water vapor pressure, the first absolute humidity content is greater than the second absolute humidity content, or the first dew point temperature is greater than the second dew point temperature, it is judged that the doors and windows are leaking; in winter mode, if the first actual water vapor pressure after data processing is less than the second actual water vapor pressure, the first absolute humidity content is less than the second absolute humidity content, or the first dew point temperature is less than the second dew point temperature, it is judged that the doors and windows are leaking.

2. The door and window air tightness detection method according to claim 1, characterized in that: The first actual water vapor pressure and the second actual water vapor pressure are calculated as follows: in, The actual water vapor pressure, in hPa, The first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, in °C, a first relative humidity or a second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, represents the base of natural logarithms, ; The first absolute moisture content and the second absolute moisture content are calculated as follows: in, is the absolute moisture content, in g / kgDA, It is the atmospheric pressure measurement value, unit is hPa, the standard atmospheric pressure is 1013.25hPa; The first dew point temperature and the second dew point temperature are calculated as follows: in, is the dew point temperature, unit is ℃.

3. The door and window air tightness detection method according to claim 1, characterized in that: The method further includes triggering an alarm signal when air leakage is detected, wherein the alarm signal includes at least one of an audible and visual alarm and a voice prompt.

4. The door and window air tightness detection method according to claim 1, characterized in that: Determine seasonal patterns based on indoor or outdoor temperatures.

5. The door and window air tightness detection method according to claim 1, characterized in that: The data processing includes: removing the maximum and minimum values ​​from multiple sets of data collected within a preset time period, and taking the average value of the remaining data as a stable value; or using a sliding window algorithm to perform weighted averaging on continuous data, in which the weight of recent data is higher than that of early data.

6. A door and window air tightness detection system, characterized in that: include: Atmospheric pressure sensor probe, used to detect the atmospheric pressure value of the current environment; A first temperature and humidity sensor probe is disposed on the telescopic movable rod and is used to detect a first temperature and a first relative humidity at the gap of the door or window; A second temperature and humidity sensor probe is connected to the detection system through a plug interface and is arranged at a predetermined position indoors away from doors and windows, and is used to detect a second temperature and a second relative humidity indoors; A control system is communicatively connected with 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, used for continuously acquiring 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, which calculates a first actual water vapor pressure, a first absolute moisture content and a first dew point temperature at the door and window gap based on the atmospheric pressure value, the first temperature and the first relative humidity, and calculates a second actual water vapor pressure, a second absolute moisture content and a second dew point temperature in the room based on the atmospheric pressure value, the second temperature and the second relative humidity; a data processing module, performing data processing on the first actual water vapor pressure, the first absolute moisture content, and the first dew point temperature in the first parameter and on the second actual water vapor pressure, the second absolute moisture content, and the second dew point temperature in the second parameter to obtain a stable value of each parameter; The judgment module compares the first parameter and the second parameter in the stable value according to the preset summer mode or winter mode. If the first parameter in the summer mode is continuously greater than the second parameter or the first parameter in the winter mode is continuously less than the second parameter, it is determined that there is air leakage in the doors and windows.

7. The door and window air tightness detection system according to claim 6, characterized in that: The system also includes: a display module, which is used to display the detection data, parameter calculation results and air leakage judgment results in real time.

8. The door and window air tightness detection system according to claim 6, characterized in that: The system further comprises: an alarm module, which is used to trigger an audible and visual alarm or a voice prompt when air leakage is determined; the alarm module comprises an LED indicator light, a buzzer and a voice synthesis unit.

9. The door and window air tightness detection system according to claim 6, characterized in that: The system further comprises: a power module, comprising a rechargeable battery and a charging interface, for supplying power to the system.

10. The door and window air tightness detection system according to claim 6, characterized in that: In the calculation module: The actual water vapor pressure is calculated as: in, The actual water vapor pressure, in hPa, The first temperature or the second temperature detected by the first temperature sensor probe or the second temperature sensor probe, in °C, a first relative humidity or a second relative humidity detected by the first humidity sensor probe or the second humidity sensor probe, represents the base of natural logarithms, ; The calculation formula for absolute moisture content is: in, is the absolute moisture content, in g / kgDA, It is the atmospheric pressure measurement value, unit is hPa, the standard atmospheric pressure is 1013.25hPa; The calculation formula for dew point temperature is: in, is the dew point temperature, unit is ℃.

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