An air tightness detection method and system for air conditioner pipeline

Abstract

The present application relates to the technical field of data processing, more particularly, the present application relates to a kind of air tightness detection method and system for air conditioner pipeline, comprising: obtaining the initial pressure and initial temperature of the air conditioner pipeline;In the set detection period, pressure data sequence and temperature data sequence are obtained, the theoretical no-leakage pressure value of any time is calculated, and the theoretical no-leakage pressure curve is generated.The present application constructs a dynamic volume model by comprehensively considering elasticity, thermal expansion and creep strain, accurately calculates the theoretical pressure curve under no-leakage condition, and uses it as a dynamic reference.By comparing the measured pressure with the theoretical reference, the pressure interference caused by physical deformation can be effectively removed, so that the pressure net drop caused only by real gas leakage can be accurately identified.This greatly improves the accuracy, sensitivity and reliability of micro-leakage detection, significantly shortens the detection period, and improves the production efficiency.

Description

Technical Field

[0001] This invention relates to the field of data processing technology. More specifically, this invention relates to a method and system for testing the airtightness of air conditioning ducts. Background Technology

[0002] In the quality control of air conditioning pipelines, the differential pressure method is a fundamental and frequently used airtightness testing technique. This method creates a closed test environment by filling the pipeline under test with gas at a specific pressure and sealing it. The internal pressure changes are then monitored with high precision over a preset time period. A stable, leak-free pipeline should maintain a constant internal pressure, which directly reflects its good sealing performance. Conversely, if a non-negligible and sustained drop in pressure occurs, a leak can be identified in the pipeline. This method is intuitive in principle, simple to operate, and provides a direct and reliable physical quantitative basis for quickly determining the integrity and sealing quality of the pipeline system.

[0003] The main drawback of existing differential pressure detection systems lies in their failure to accurately mathematically model and quantify pressure changes caused by all non-leakage factors. In particular, the system neglects the dynamic physical deformation of the pipe material itself under pressure and temperature. When the pipe is pressurized, it undergoes instantaneous elastic expansion and slight creep under sustained pressure, both of which lead to nonlinear changes in the pipe's internal volume. More critically, existing technologies typically use a long settling period to roughly circumvent this problem, but this not only significantly reduces detection efficiency but also fails to completely eliminate the slow pressure drop caused by deformation, which resembles the characteristics of a true leak. This spurious leak signal introduced by inherent system defects severely interferes with judgment, ultimately leading to missed detections of minor but dangerous leaks or misjudgments of intact pipes. Summary of the Invention

[0004] This invention provides a method and system for airtightness testing of air conditioning pipelines, aiming to solve the problem in related technologies where the detection system fails to quantify the dynamic deformation of the pipeline under pressure and temperature, leading to misjudgment of pressure changes and reducing the accuracy and efficiency of micro-leakage detection.

[0005] In a first aspect, the present invention provides a method for airtightness testing of air conditioning pipelines, comprising: acquiring the initial pressure and initial temperature of the air conditioning pipeline; within a set testing period, acquiring pressure data sequences and temperature data sequences, calculating the theoretical leak-free pressure value at any given time, and generating a theoretical leak-free pressure curve, wherein the theoretical leak-free pressure value is positively correlated with the initial pressure, and is also related to the ratio of the initial volume to the instantaneous total volume calculated by the dynamic volume model at that time, and also related to the ratio of the measured absolute temperature of the gas at that time to the initial absolute temperature, wherein the method for constructing the dynamic volume model includes... The method includes: 1) A dynamic volumetric model is obtained based on the initial volume of the air conditioning pipeline, combined with elastic volumetric strain, thermal expansion volumetric strain, and creep volumetric strain. The elastic volumetric strain is proportional to the pressure at the current moment; the thermal expansion volumetric strain is proportional to the change in temperature at the current moment relative to the initial temperature; the creep volumetric strain is positively correlated with the integral of the pressure sequence from the start of detection to the current moment. 2) The difference between the theoretical leak-free pressure curve and the pressure data sequence is calculated to obtain a net leakage accumulation index. 3) Based on the net leakage accumulation index, it is determined whether there is a leak in the air conditioning pipeline. By constructing a dynamic volumetric model, the influence of pressure, temperature, and time-dependent creep effects is comprehensively considered, achieving accurate estimation of the theoretical leak-free pressure. This effectively eliminates the interference of pressure changes caused by pipeline elastic deformation, thermal expansion, and material creep, thereby significantly improving the accuracy and reliability of leak detection. 4) By calculating the difference between the theoretical leak-free pressure curve and the actual pressure data to generate a net leakage accumulation index, it can sensitively identify small or slow leaks and reduce the false alarm rate, making it suitable for long-term monitoring and various operating conditions.

[0006] Furthermore, generating the theoretical leak-free pressure curve includes: calculating the theoretical leak-free pressure value at any given moment, thereby obtaining a theoretical leak-free pressure curve constructed from the theoretical leak-free pressure values ​​from the start of the detection to the current moment. A continuous curve is constructed by calculating the theoretical pressure value at each moment point by point. Compared to a general comparison, this method ensures that the measured pressure data has a precisely corresponding theoretical reference point throughout the entire detection cycle, allowing subsequent difference calculations and leak judgments to be based on a continuous and complete dynamic benchmark, thereby improving the precision and accuracy of the analysis.

[0007] Furthermore, the theoretical leak-free pressure value at any given moment is calculated, including: for any given moment, multiplying the initial pressure value at the start of the detection by the ratio of the initial volume to the instantaneous total volume calculated by the dynamic volumetric model at that moment, and then multiplying by the ratio of the measured absolute temperature of the gas at that moment to the initial absolute temperature, thus obtaining the theoretical leak-free pressure value at that moment. A precise mathematical formula based on the ideal gas law and incorporating dynamic volumetric correction provides a solid physical and mathematical foundation for the establishment of the theoretical model, ensuring the scientific validity and accuracy of the theoretical pressure calculation.

[0008] Furthermore, the net leakage accumulation index is obtained by: taking the time derivative of the difference between the theoretical leak-free pressure curve and the pressure data sequence to obtain the rate of change; and then integrating the non-negative part of the rate of change over the entire detection period to obtain the net leakage accumulation index. By focusing on the leakage rate through differentiation and using a filter that only accumulates positive values, the continuous pressure drop caused by actual leakage and random pressure fluctuations caused by factors such as sensor noise are effectively distinguished. This processing method can extract and amplify weak, continuous leakage signals from a noisy background, significantly enhancing the signal-to-noise ratio of the detection and the ability to identify minute leaks.

[0009] Furthermore, the instantaneous total volume calculated by the dynamic volume model at this moment is given by the following formula: ;

[0010] For the pipeline at all times The instantaneous total volume, Let this be the initial volume of the pipeline. For a moment The instantaneous elastic volumetric strain caused by internal pressure in the pipeline; For a moment The pipeline route is affected by the thermal expansion and volume strain caused by changes in gas temperature. For a moment The volumetric strain that accumulates over time due to material creep under continuous pressure in a pipeline.

[0011] Furthermore, determining whether the air conditioning pipe has a leak includes: comparing the net leakage cumulative index with a preset determination threshold; when the net leakage cumulative index is greater than the determination threshold, it is determined that the air conditioning pipe has a leak.

[0012] Furthermore, the step of obtaining the judgment threshold includes: testing multiple sets of calibration-qualified products confirmed to be leak-free to obtain a first set of net leakage cumulative index values; testing multiple sets of calibration-unqualified products with critical leaks reaching the unqualified standard to obtain a second set of net leakage cumulative index values; and setting the judgment threshold within the value range between the highest value of the first set of net leakage cumulative index values ​​and the lowest value of the second set of net leakage cumulative index values. By performing calibration tests on qualified products confirmed to be leak-free and unqualified products with critical leaks, a threshold range is determined between the distributions of the two sets of data. This method ensures that the judgment threshold is generated based on actual product characteristics and testing system performance data, thereby guaranteeing the rationality and robustness of the threshold, reliably distinguishing between qualified and unqualified products, and minimizing the false judgment rate.

[0013] Furthermore, it also includes: filling the air conditioning duct with dry gas at a preset pressure before collecting data.

[0014] Furthermore, pressure and temperature data sequences were acquired at a frequency of 10 Hz.

[0015] In a second aspect, the present invention also provides an airtightness testing system for air conditioning pipes, comprising a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to implement the airtightness testing method for air conditioning pipes as described in any of the above claims.

[0016] Beneficial Effects: By constructing a dynamic volumetric model that comprehensively considers elasticity, thermal expansion, and creep strain, the theoretical pressure curve under leak-free conditions is accurately calculated and used as a dynamic benchmark. By comparing the measured pressure with this theoretical benchmark, pressure interference caused by physical deformation can be effectively eliminated, thereby accurately identifying the net pressure drop caused solely by actual gas leakage. This greatly improves the accuracy, sensitivity, and reliability of micro-leak detection, significantly shortens the detection cycle, and increases production efficiency. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the airtightness test of a pipeline according to an embodiment of the present invention. Detailed Implementation

[0018] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0019] like Figure 1 As shown, S101: Collect pipeline data.

[0020] First, prepare and seal the piping. Connect the air conditioning piping to be tested to the airtightness testing system to ensure that all interfaces, valves and connection points are reliably sealed to form a closed pressure system.

[0021] Next, pressurization and stabilization are performed by filling the pipeline with a dry gas, such as air or nitrogen, at a preset pressure of P0, and recording the initial system temperature T0. It is understood that, unlike existing technologies that require a long stabilization period, this embodiment only needs to wait for the gas turbulence caused by the filling to subside before data acquisition can begin. This process typically takes only a few seconds, thus significantly shortening the detection preparation time.

[0022] Then, synchronous data acquisition is performed. Specifically, throughout the set detection cycle, the system's built-in high-precision pressure and temperature sensors synchronously and continuously acquire pressure and gas temperature data sequences from inside the pipeline at a fixed sampling frequency. As a preferred option, the sampling frequency can be set to 10Hz, which is sufficient to capture dynamic changes in pressure and temperature while avoiding data redundancy caused by excessively high sampling rates. The length of the detection cycle can be set by the user, for example, 30 minutes or 60 minutes.

[0023] S102: Construct a dynamic volumetric model for the pipeline.

[0024] To quantify and eliminate pressure changes caused by pipeline physical deformation from the monitoring data, this step aims to establish a mathematical model that can describe the dynamic changes in the pipeline's internal volume with pressure, temperature, and time in real time—a dynamic volume model. This model is based on the physical premise that the total volume change of the pipeline is a linear superposition of the material's instantaneous elastic response to pressure, its thermal expansion and contraction response to temperature, and its long-term creep response under sustained stress. Specifically, the total volume of the pipeline at any given time is calculated using the following formula: . For the pipeline at all times The instantaneous total volume, Let be the initial volume of the pipeline, and be a known design parameter. For a moment Pipeline internal pressure The resulting instantaneous elastic volumetric strain is dimensionless. For a moment Pipeline route gas temperature The volumetric strain caused by thermal expansion due to the change is dimensionless. For a moment The volumetric strain accumulated over time due to material creep under continuous pressure in a pipeline is dimensionless. This formula decomposes the complex problem of volume change into three independent physical processes. As the initial volume, the total instantaneous volume It is obtained by adjusting this initial volume based on the sum of the three strain components.

[0025] Specifically, the calculation method for each strain component is as follows: Part 1: Time elastic strain term This is based on the fact that pipelines, as elastic bodies, undergo instantaneous and reversible radial and axial expansion under internal pressure. The calculation formula is as follows: In the formula, The elastic modulus of the pipeline is a constant that combines the Young's modulus, Poisson's ratio, and pipeline geometry (such as diameter and wall thickness). It can be found in material handbooks and calculated using formulas, or obtained through a one-time calibration experiment on a standard leak-free pipeline. The unit is 1 / Pa. For a moment The measured actual pressure value is in Pa. This indicates that the greater the pressure, the more significant the instantaneous elastic expansion of the pipeline, and the greater the volumetric strain. This relationship is linear; that is, doubling the pressure doubles the elastic volumetric strain.

[0026] Part Two: Time Thermal expansion strain term This describes the thermal expansion and contraction effect of pipe materials due to temperature changes. The calculation formula is: . It is the volumetric thermal expansion coefficient of the pipeline material, a material physical constant that can be obtained by consulting a handbook, and its unit is 1 / K. For a moment The actual gas temperature measured, in Kelvin (K). To detect the initial temperature at the start. When the pipe temperature... Higher than the initial temperature When the temperature is high, this item is positive, indicating that the pipeline expands due to heat and its volume increases; conversely, when the temperature drops, this item is negative, indicating that the pipeline contracts due to cold and its volume decreases.

[0027] Part Three: Time creep strain term This step is used to model the slow, irreversible plastic deformation, or creep, that occurs in pipeline materials under continuous pressure (stress). The calculation formula is as follows: . and This is the creep coefficient of a material, which is related to factors such as material type and temperature, and can be obtained by fitting experimental material data. For a specific air conditioning copper or aluminum pipe, it can be considered a constant within the operating temperature range. From the start of the detection to the current moment At any time, For at any time The actual measured pressure value. From the start time of detection to the current time Integration operations. Let be the integrand, representing any time in the past. The contribution of pressure to the creep rate. (Exponential) Typically greater than 1, this indicates that creep is a nonlinear process highly sensitive to pressure; preferably, the exponential value is greater than 1. The value of this integral term can range from 2 to 5. The physical meaning of this integral term is that the total effect of creep is the cumulative result of all historical pressure action; even if the current pressure remains constant, the integral value will still increase over time, leading to a continuous and slow increase in pipeline volume. This term precisely describes the physical source of the non-leakage pressure drop observed during the steady-state period.

[0028] Finally, by integrating the above three components, this dynamic volumetric model... It can provide a high-precision pipeline volume value that changes in real time with operating conditions for subsequent calculations.

[0029] S103: Construct the theoretical leak-free pressure curve.

[0030] The goal of this step is to calculate a theoretical pressure curve. This curve describes the pressure fluctuations caused solely by changes in pipe volume and gas temperature under ideal conditions of complete sealing and no gas mass loss. Its physical prior is the ideal gas law. For a closed system, the total mass (i.e., number of moles) of the gas inside it. The pressure is constant. Specifically, the formula for calculating the theoretical leak-free pressure value is: In the formula, For a moment The theoretical leak-free pressure value, To detect the initial pressure at the start, Let this be the initial volume of the pipeline. To detect the initial absolute temperature at the start, For a moment The instantaneous total volume of the pipeline, For a moment The actual measured absolute temperature of the gas.

[0031] The formula contains two dynamic correction factors: the first is the volume change correction term. According to the gas law, when temperature and gas mass remain constant, pressure is inversely proportional to volume. When a pipeline expands due to deformation, This causes the ratio to be less than 1, thus reducing the theoretical pressure. The first is a decrease, which precisely quantifies the natural pressure drop caused by pipeline expansion. The second is a temperature change correction term. According to the gas law, when the volume and mass of the gas are constant, pressure is directly proportional to absolute temperature. When the gas temperature... When the price rises, this ratio is greater than 1, leading to theoretical pressure. rise.

[0032] In summary, this formula uses the initial pressure By multiplying by two dynamic correction factors, the pressure was accurately predicted as a function of pipe deformation and temperature in a leak-free system. The theoretical leak-free pressure values ​​for all sampling moments were calculated using the above method, resulting in a theoretical leak-free pressure curve constructed from the theoretical leak-free pressure values ​​from the start of the detection to the current moment. This theoretical leak-free pressure curve serves as the baseline for determining the existence of a real leak.

[0033] S104: Separate and accumulate net leakage signals.

[0034] By comparing the actual measured pressure curve with the generated theoretical leak-free pressure curve, the net pressure drop caused by actual leakage is accurately separated, and this signal is enhanced by a cumulative index to achieve reliable judgment of minor leaks. The physical prior is that the actual measured total pressure change is the result of the combined effects of physical deformation, temperature change, and gas mass loss. Since the first two have been modeled, the difference between them must be attributed to gas mass loss.

[0035] Construct a net leakage cumulative indicator, the formula of which is: In the formula, The net leakage cumulative index is ultimately used to determine whether a leak has occurred, and its dimension is pressure (Pa). Total testing time; Let be the integral variable, representing the range from 0 to 1. At any time; For at any time The theoretical leak-free pressure value; For at any time Actual measured pressure value; This indicates that the function within the parentheses has its time derivative, i.e., its rate of change. It takes the larger of 0 and the value inside the parentheses.

[0036] For the formula This difference represents the time at time . The portion of pressure that the model fails to explain, namely the net pressure drop attributed to leakage. . This derivative calculates the rate of change of the net pressure drop. If a real leak exists, the continuous loss of gas will cause the actual pressure to rise. The rate of descent is faster than the theoretical pressure. The rate of decrease, thus causing the net pressure to drop. As it continues to increase over time, its rate of change will remain a consistently positive value. If there is no leakage, Should focus on Fluctuations, leading to The rate of change is sometimes positive and sometimes negative, with a mean close to zero.

[0037] Noise filtering operator This function accumulates only those moments where the derivative is positive, acting as a one-way filter. Only when the gap between the model-predicted pressure and the actual measured pressure is widening can it be considered evidence of a leak. For cases where the actual pressure rises instantaneously due to sensor noise, resulting in a negative derivative, this operator treats it as invalid information and discards it, as it does not conform to the one-way physical process of leakage. This greatly enhances the algorithm's resistance to noise interference.

[0038] outer integral The rate of change of all factors identified as valid evidence of leakage by the filters throughout the entire detection period is summed. For a persistent, minute leak, even if its rate of change is small at each instant, because it remains positive, the final integral NLA will be a significantly positive number after long-term integration. For the case of no leak, since the time derivative is filtered to zero for most of the time, the final integral NLA will be very close to zero.

[0039] This NLA index allows a weak, persistent leak signal to be effectively extracted and amplified from a noisy background, ultimately forming a highly discriminative value for the leak status.

[0040] S105: Outputs the airtightness test results for the air conditioning ducts.

[0041] The final calculated net leakage cumulative index (NLA) is compared with a preset judgment threshold. The results are compared to arrive at the final detection conclusion. Among these, the judgment threshold is... The determination can be scientifically made by testing a batch of calibration samples with physical properties completely identical to the model under test. Specifically, two sets of calibration samples are prepared: one set consists of qualified products confirmed to be completely leak-free, and the other set consists of products with critical defects, simulated using standard leaks, just reaching the non-compliance standard. By repeatedly testing these two sets of samples, the data distribution of the net leakage cumulative index (NLA) can be obtained for two sets of samples. The final detection threshold can then be determined. This involves scientifically setting a safety margin between the highest NLA value produced by a qualified sample and the lowest NLA value produced by a critically defective sample. For example, the threshold can be set at 30% from the lowest to the highest point within this range. This ensures that qualified and unqualified products can be clearly and reliably distinguished, thereby guaranteeing the accuracy and repeatability of the test results.

[0042] The final judgment logic is NLA> If NLA ≤ If the system determines that the air tightness of the air conditioning pipe is qualified, then the system will determine that the air tightness of the air conditioning pipe is qualified.

[0043] The present invention also provides an airtightness testing system for air conditioning ducts. The system includes a processor and a memory, the memory storing computer program instructions. When the processor executes the computer program instructions, it implements the airtightness testing method for air conditioning ducts according to the first aspect of the present invention.

[0044] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and therefore will not be described in detail here.

[0045] In this invention, the aforementioned memory can be any tangible medium containing or storing a program that can be used or combined with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc., or any other medium that can be used to store desired information and can be accessed by an application, module, or both. Any such computer storage medium can be part of a device or accessible to or connected to a device. Any application or module described in this invention can be implemented using computer-readable / executable instructions stored or otherwise maintained on such a computer-readable medium.

[0046] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A method for testing the airtightness of air conditioning pipes, characterized in that, include: Obtain the initial pressure and initial temperature of the air conditioning pipeline; Within the set detection period, pressure data sequences and temperature data sequences are collected, the theoretical leak-free pressure value at any given moment is calculated, and a theoretical leak-free pressure curve is generated. The theoretical leak-free pressure value is positively correlated with the initial pressure, and is also related to the ratio of the initial volume to the instantaneous total volume calculated by the dynamic volume model at that moment, as well as the ratio of the measured absolute temperature of the gas at that moment to the initial absolute temperature. The method for constructing the dynamic volumetric model includes: obtaining a dynamic volumetric model based on the initial volume of the air conditioning pipeline and combining elastic volumetric strain, thermal expansion volumetric strain, and creep volumetric strain. The elastic volumetric strain is proportional to the pressure at the current moment; the thermal expansion volumetric strain is proportional to the change in temperature at the current moment relative to the initial temperature; and the creep volumetric strain is positively correlated with the integral of the pressure data sequence from the start of detection to the current moment. The difference between the theoretical leak-free pressure curve and the pressure data sequence is calculated to obtain the net leakage accumulation index; and the presence of a leak in the air conditioning pipeline is determined based on the net leakage accumulation index. The instantaneous total volume calculated by the dynamic volumetric model at this moment is given by the following formula: ; For the pipeline at all times The instantaneous total volume, Let this be the initial volume of the pipeline. For a moment The instantaneous elastic volumetric strain caused by internal pressure in the pipeline; For a moment The pipeline route is affected by the thermal expansion and volume strain caused by changes in gas temperature. For a moment The volumetric strain that accumulates over time due to material creep under continuous pressure in a pipeline; The formula for calculating the theoretical leak-free pressure value is: In the formula, For a moment The theoretical leak-free pressure value, To detect the initial pressure at the start, Let this be the initial volume of the pipeline. To detect the initial absolute temperature at the start, For a moment The instantaneous total volume of the pipeline, For a moment The actual measured absolute temperature of the gas; Net leakage cumulative index meets: In the formula, The net leakage cumulative index is ultimately used to determine whether a leak has occurred, and its dimension is pressure (Pa). Total testing time; Let be the integral variable, representing the range from 0 to 1. At any time; For at any time The theoretical leak-free pressure value; For at any time Actual measured pressure value; This indicates that the function within the parentheses has its time derivative, i.e., its rate of change. It takes the larger of 0 and the value inside the parentheses.

2. The airtightness testing method for air conditioning pipelines according to claim 1, characterized in that, Generating the theoretical leak-free pressure curve includes: The theoretical leak-free pressure value at any given moment is calculated, thus obtaining the theoretical leak-free pressure curve constructed from the theoretical leak-free pressure values ​​from the start of the detection to the current moment.

3. The airtightness testing method for air conditioning pipelines according to claim 1, characterized in that, Calculate the theoretical leak-free pressure value at any given time, including: For any given moment, the initial pressure value at the start of the detection is multiplied by the ratio of the initial volume to the instantaneous total volume calculated by the dynamic volume model at that moment, and then multiplied by the ratio of the measured absolute gas temperature at that moment to the initial absolute temperature, thus obtaining the theoretical leak-free pressure value at that moment.

4. The airtightness testing method for air conditioning pipelines according to claim 1, characterized in that, Determining whether there is a leak in the air conditioning piping includes: The net leakage accumulation index is compared with a preset judgment threshold. When the net leakage accumulation index is greater than the judgment threshold, it is determined that there is a leak in the air conditioning pipeline.

5. The airtightness testing method for air conditioning pipelines according to claim 4, characterized in that, The steps for obtaining the determination threshold include: Test multiple sets of calibration products that have been confirmed to have no leakage to obtain the first set of net leakage cumulative index values; Multiple sets of calibration defective products with critical leaks that meet the non-compliance standards are tested to obtain a second set of net leakage cumulative index values. The determination threshold is set within the range between the highest value of the first net leakage cumulative index set and the lowest value of the second net leakage cumulative index set.

6. The airtightness testing method for air conditioning pipelines according to claim 5, characterized in that, Also includes: Before collecting data, dry gas at a preset pressure is introduced into the air conditioning duct.

7. The airtightness testing method for air conditioning pipelines according to claim 1, characterized in that, Pressure and temperature data sequences were acquired at a frequency of 10 Hz.

8. An airtightness detection system for air conditioning ducts, comprising a processor and a memory, characterized in that, The memory stores a computer program, and the processor executes the computer program to implement the airtightness testing method for air conditioning pipelines as described in any one of claims 1-7.

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