Methods and devices for testing the airtightness of explosion-proof valves
By acquiring the air pressure and valve opening information of the explosion-proof valve, and combining it with real-time detection of air pressure and sound signals, the analysis conditions are dynamically adjusted, solving the problems of low efficiency and insufficient accuracy in the airtightness detection of explosion-proof valves, and achieving efficient and accurate airtightness detection.
Patent Information
- Application Number
- CN202510990232.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-18
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2045-07-18
AI Technical Summary
Existing technologies for testing the airtightness of explosion-proof valves are inefficient and cannot effectively identify the leakage amount at a single leak point, resulting in inaccurate test results.
By acquiring detection information on air pressure and valve opening, combined with real-time acquisition of air pressure and sound signals in the sealing device, and using preset analysis conditions for comprehensive analysis, the detection process is dynamically adjusted to achieve airtightness detection of explosion-proof valves.
It significantly shortens the detection time, improves detection efficiency and accuracy, can identify minute leaks and quantify the amount of leakage, reduces the false positive rate, and is suitable for mass production scenarios.
Smart Images

Figure CN120489476B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of explosion-proof valve testing technology, and particularly relates to a method and device for testing the airtightness of explosion-proof valves. Background Technology
[0002] Explosion-proof valve airtightness testing refers to verifying whether the explosion-proof valve can effectively prevent the leakage of gas or liquid media when it is closed, and ensuring its sealing performance and safety reliability under high pressure, high temperature or other hazardous conditions.
[0003] In related technologies, the pressure drop method is often used to test the airtightness of explosion-proof valves. The pressure drop method involves first introducing a certain amount of gas into the explosion-proof valve to create a pressure difference between the gas pressure inside the valve and the gas pressure outside the valve. Then, by monitoring whether the gas pressure inside the explosion-proof valve decreases and the degree of pressure decrease within a set detection period, the airtightness of the explosion-proof valve is determined. However, the pressure drop method requires waiting for the natural decay of the sealing system to determine the airtightness of the explosion-proof valve, resulting in low detection efficiency. Summary of the Invention
[0004] This application provides a method and device for testing the airtightness of explosion-proof valves, which can improve the problem of low testing efficiency.
[0005] In a first aspect, embodiments of this application provide a method for testing the airtightness of an explosion-proof valve, including:
[0006] Acquire detection information; wherein, the detection information includes detection air pressure reflecting the magnitude of the air pressure used to detect the explosion-proof valve and detection opening degree reflecting the valve opening degree used to detect the explosion-proof valve;
[0007] Based on the detection information, the explosion-proof valve is subjected to airtightness testing. The first detection device acquires the first detection information in real time, and the second detection device acquires the second detection information in real time. The first detection information is used to reflect the air pressure in the sealing device, and the second detection information is used to reflect the sound signal in the sealing device.
[0008] When the second detection information meets the preset analysis conditions, the detection information, the first detection information, and the second detection information are analyzed to obtain the detection result; wherein, the preset analysis conditions are obtained based on the detection information, and the detection result is used to reflect the qualification status of the explosion-proof valve.
[0009] The technical solutions described in this application embodiment have at least the following technical effects:
[0010] The explosion-proof valve airtightness testing method provided in this application first acquires detection information including detection pressure (reflecting the magnitude of the air pressure used to test the explosion-proof valve) and detection opening (reflecting the valve opening degree used to test the explosion-proof valve). While performing airtightness testing on the explosion-proof valve based on the detection information, a first detection device acquires first detection information reflecting the magnitude of the air pressure in the sealing device in real time, and a second detection device acquires second detection information reflecting the sound signal in the sealing device in real time. When the second detection information meets the preset analysis conditions obtained based on the detection information, the method analyzes the detection information, the first detection information, and the second detection information to obtain a test result reflecting the pass / fail status of the explosion-proof valve.
[0011] This method can effectively perform active pressure reduction testing by placing the explosion-proof valve into the testing device at a set opening and a set air pressure. Through the amplification effect of dynamic airflow, the air tightness testing time of the explosion-proof valve is shortened. The leakage situation is determined by the air pressure in the sealing device. When the explosion-proof valve is confirmed to have a leak, the pass / fail status of the explosion-proof valve is obtained by combining the air pressure in the sealing device and the sound signal.
[0012] In one possible implementation of the first aspect, the step of "when the first detection information satisfies the preset analysis conditions" includes:
[0013] Obtain a first space size and a second space size; wherein, the first space size is used to reflect the internal space size of the explosion-proof valve, and the second space size is used to reflect the internal space size of the sealing device;
[0014] The equilibrium pressure is calculated based on the detected air pressure, the size of the first space, and the size of the second space in the detection information; wherein, the equilibrium pressure is used to reflect the air pressure after the size of the first space and the size of the second space have reached equilibrium;
[0015] When the first detection information reaches the equilibrium air pressure, it is determined that the preset analysis conditions are met, and at the same time, the first detection device is controlled to stop acquiring the first detection information, and the second detection device is controlled to stop acquiring the second detection information.
[0016] In one possible implementation of the first aspect, the step of analyzing the detection information, the first detection information, and the second detection information to obtain the detection result includes:
[0017] Based on the first detection information and the detection information, a leakage status is obtained; wherein, the leakage status includes a first status reflecting that the explosion-proof valve has no leakage point and a second status reflecting that the explosion-proof valve has a leakage point;
[0018] When the leakage condition is the first condition, the test result is determined to be qualified.
[0019] In one possible implementation of the first aspect, the step of analyzing the detection information, the first detection information, and the second detection information to obtain the detection result further includes:
[0020] When the leakage condition is the second condition, the detection results are obtained by analyzing the detection information, the first detection information, and the second detection information.
[0021] In one possible implementation of the first aspect, obtaining the leakage status based on the first detection information and the detection information includes:
[0022] The gas pressure change is obtained based on the detection information; wherein, the gas pressure change is used to reflect the change in internal gas pressure of the sealing device after the leak-free explosion-proof valve is opened according to the detection information;
[0023] The leakage status is obtained by comparing the pressure change with the first detection information in real time.
[0024] In one possible implementation of the first aspect, when the leakage condition is the second condition, analyzing the detection information, the first detection information, and the second detection information to obtain a detection result includes:
[0025] The detection sound signal is obtained from the second detection information; wherein the detection sound signal is used to reflect the sound generated at the detection opening when the explosion-proof valve is tested for air tightness.
[0026] Based on the detected sound signal and the second detection information, at least one leak point sound is obtained; wherein, the leak point sound is used to reflect the sound generated by the leak point in the second detection information;
[0027] Based on the first detection information, the total leakage amount is obtained; wherein, the total leakage amount is used to reflect the total amount of gas passing through all leakage points of the explosion-proof valve per unit time;
[0028] The detection result is obtained based on the sound from at least one of the leakage points and the total leakage amount.
[0029] In one possible implementation of the first aspect, obtaining at least one leak point sound based on the detected sound signal and the second detection information includes:
[0030] Multiple sound intensity peaks are obtained from the second detection information; wherein, the sound intensity peaks are used to reflect the significant peaks that appear in the second detection information within the time range of obtaining the second detection information;
[0031] Based on the detected sound signal, a detection frequency drop is obtained; wherein, the detection frequency drop is used to reflect the frequency change of the detected sound signal;
[0032] Based on the multiple sound intensity peaks, multiple frequency drops corresponding to the multiple sound intensity peaks are obtained; wherein, the frequency drops are used to reflect the frequency changes corresponding to the sound intensity peaks;
[0033] Based on the multiple frequency drops and the detection frequency drops, at least one of the leakage point sounds is determined from the multiple sound intensity peaks.
[0034] In one possible implementation of the first aspect, obtaining the detection result based on the sound from at least one of the leakage points and the total leakage amount includes:
[0035] When the total leakage is less than a first leakage threshold, at least one leakage amount is obtained based on the sound from at least one of the leakage points and the total leakage; wherein, the first leakage threshold is used to reflect the maximum allowable total leakage of the explosion-proof valve as a whole, and the leakage amount is used to reflect the gas leakage amount of a single leakage point per unit time;
[0036] A comparison result is obtained by comparing at least one of the leakage amounts with a second leakage threshold; wherein the second leakage threshold is used to reflect the maximum allowable gas leakage amount at a single leakage point in the explosion-proof valve;
[0037] When at least one of the leakage amounts in the comparison results is greater than the second leakage threshold, the test result is determined to be unqualified; when all the leakage amounts in the comparison results are less than the second leakage threshold, the test result is determined to be qualified.
[0038] In one possible implementation of the first aspect, obtaining at least one leakage amount based on the sound of at least one of the leakage points and the total leakage amount includes:
[0039] Based on the sound from at least one of the leak points, sound intensity features corresponding to the sound from at least one of the leak points are extracted; wherein, the sound intensity features are used to reflect the amplitude corresponding to the sound from the leak point;
[0040] Based on the sound intensity features, the total sound intensity is calculated; wherein, the total sound intensity is used to reflect the result of superimposing the energy of multiple sound intensity features;
[0041] Based on the sound intensity characteristics and the total sound intensity, the leakage ratio corresponding to at least one of the leakage points is obtained; wherein, the leakage ratio is used to reflect the relative contribution of the corresponding leakage point sound to the total sound intensity;
[0042] Based on the total leakage amount and the leakage ratio, the leakage amount corresponding to at least one of the leakage points is obtained.
[0043] Secondly, embodiments of this application provide an explosion-proof valve airtightness testing system, including:
[0044] An acquisition module is used to acquire detection information; wherein, the detection information includes detection pressure reflecting the magnitude of the gas pressure used to detect the explosion-proof valve and detection opening reflecting the valve opening degree used to detect the explosion-proof valve.
[0045] The detection and acquisition module is used to perform airtightness testing on the explosion-proof valve based on the detection information. The first detection device acquires the first detection information in real time, and the second detection device acquires the second detection information in real time. The first detection information is used to reflect the air pressure in the sealing device, and the second detection information is used to reflect the sound signal in the sealing device.
[0046] The analysis module is used to analyze the detection information, the first detection information, and the second detection information when the second detection information meets the preset analysis conditions, and to obtain the detection result; wherein the preset analysis conditions are obtained based on the detection information, and the detection result is used to reflect the qualification status of the explosion-proof valve.
[0047] Thirdly, embodiments of this application provide an airtightness testing device, including a sealing device, a first testing device, a second testing device, and a control device. The sealing device, the first testing device, and the second testing device are electrically connected to the control device. The control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the method described in any of the first aspects above.
[0048] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any of the first aspects above.
[0049] Fifthly, embodiments of this application provide a computer program that, when run on an airtightness testing device, causes the airtightness testing device to perform the explosion-proof valve airtightness testing method described in any of the first aspects above.
[0050] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description
[0051] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0052] Figure 1 This is a schematic flowchart of an embodiment of the explosion-proof valve airtightness testing method provided in this application;
[0053] Figure 2 This is a schematic diagram illustrating the implementation process of an explosion-proof valve airtightness testing method provided in an embodiment of this application;
[0054] Figure 3 This is a schematic diagram of the structure of an explosion-proof valve airtightness testing system provided in one embodiment of this application;
[0055] Figure 4 This is a schematic diagram of the control device of an airtightness detection device provided in an embodiment of this application. Detailed Implementation
[0056] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.
[0057] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.
[0058] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.
[0059] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."
[0060] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0061] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.
[0062] In related technologies, the pressure drop method is commonly used to test the airtightness of explosion-proof valves. This method involves introducing a certain amount of gas into the explosion-proof valve, creating a pressure difference between the internal and external pressures. The airtightness is then determined by monitoring the decrease in internal pressure and the degree of this decrease within a set testing period. However, the pressure drop method requires waiting for the natural decay of the sealing system to assess airtightness, resulting in low testing efficiency. Furthermore, it can only determine if there is insufficient airtightness. If the overall leakage of the explosion-proof valve meets the airtightness requirements, but the leakage at a single leak point does not, the pressure drop method fails to adequately reduce the overall leakage threshold for airtightness.
[0063] To address the aforementioned problems, this application provides a method and apparatus for testing the airtightness of an explosion-proof valve. In this method, detection information is first acquired, including detection pressure reflecting the magnitude of the air pressure used for testing the explosion-proof valve and detection opening information reflecting the valve opening degree used for testing the explosion-proof valve. While performing airtightness testing on the explosion-proof valve based on this detection information, a first detection device acquires first detection information reflecting the magnitude of the air pressure in the sealing device in real time, and a second detection device acquires second detection information reflecting the sound signal in the sealing device in real time. When the second detection information meets preset analysis conditions obtained based on the detection information, analysis is performed based on the detection information, the first detection information, and the second detection information to obtain a test result reflecting the pass / fail status of the explosion-proof valve.
[0064] The explosion-proof valve airtightness testing method provided in this application embodiment can be applied to an airtightness testing device, in which case the airtightness testing device is the executing entity of the explosion-proof valve airtightness testing method provided in this application embodiment.
[0065] The airtightness testing device includes a sealing device, a first detection device, a second detection device, and a control device. The sealing device, the first detection device, and the second detection device are electrically connected to the control device. The sealing device prevents gas leakage from the airtightness testing device and prevents external gas from entering the device. The sealing device can be a sealing cover or a sealing box, etc. The first detection device detects the air pressure inside the sealing device. For example, the first detection device can be a pressure sensor, a barometer, or a differential pressure detector. The second detection device detects the sound signal inside the sealing device. For example, the second detection device can be a microphone or an ultrasonic sensor, etc. The control device monitors and controls the airtightness testing process of the explosion-proof valve.
[0066] For example, the control device can be a mobile phone, tablet computer, laptop computer, ultra-mobile personal computer (UMPC), netbook, smart screen, smart TV, handheld device with wireless communication function, desktop computer, handheld device with wireless communication function, computer, laptop computer, handheld computing device, etc.
[0067] To better understand the explosion-proof valve airtightness testing method provided in the embodiments of this application, the specific implementation process of the explosion-proof valve airtightness testing method provided in the embodiments of this application will be described by way of example below.
[0068] Figure 1 and Figure 2 A schematic flowchart of the explosion-proof valve airtightness testing method provided in this application embodiment is shown. Please refer to [link / reference]. Figure 1 and Figure 2 The methods for testing the airtightness of explosion-proof valves include:
[0069] S100, acquire detection information; wherein, the detection information includes detection air pressure, which reflects the magnitude of the air pressure used to detect the explosion-proof valve, and detection opening, which reflects the valve opening degree used to detect the explosion-proof valve.
[0070] It can be understood that the test pressure refers to the volume pressure of the gas applied inside the explosion-proof valve during the airtightness test. The test opening degree refers to the actual degree of opening of the valve components relative to their closed position during the airtightness test. Both the test pressure and test opening degree can be obtained manually or directly from a test database. A test database contains the test pressure and test opening degree for different explosion-proof valves. This data can be obtained through laboratory experiments, on-site measurements and monitoring, and past experience. After acquisition, the collected data is organized, classified, and archived, useful information and patterns are extracted, and the relevant data is saved to the database to form the test database.
[0071] S200, based on the detection information, the explosion-proof valve is tested for air tightness. The first detection device acquires the first detection information in real time, and the second detection device acquires the second detection information in real time. The first detection information is used to reflect the air pressure in the sealing device, and the second detection information is used to reflect the sound signal in the sealing device.
[0072] It is understandable that the airtightness test process involves inflating the explosion-proof valve to raise the internal air pressure to the test pressure in the test information, then placing the explosion-proof valve in a sealed airtightness test device, and then controlling the explosion-proof valve to open according to the test opening degree. The first test device begins to acquire the first test information, and the second test device begins to acquire the second test information.
[0073] S300, when the first detection information meets the preset analysis conditions, the detection information, the first detection information and the second detection information are analyzed to obtain the detection result; wherein, the preset analysis conditions are obtained based on the detection information, and the detection result is used to reflect the qualification status of the explosion-proof valve.
[0074] For example, when the first detection information meets the preset analysis conditions, analysis can be performed based on the first detection information and the second detection information to obtain a first state reflecting that the explosion-proof valve has no leakage point and a second state including that the explosion-proof valve has a leakage point. When the explosion-proof valve has a leakage point, the detection result can be obtained based on the detection information, the first detection information, and the second detection information. Alternatively, a machine learning model can be used to output the detection result based on the preprocessed detection information, the first detection information, and the second detection information.
[0075] This setup, by placing the explosion-proof valve at a set opening and a set air pressure into the detection device for active depressurization detection, shortens the airtightness detection time of the explosion-proof valve through the amplification effect of dynamic airflow, thereby improving detection efficiency. Simultaneously, it collects air pressure, valve opening, and sound signals, overcoming the limitations of single-parameter detection. This allows for the capture of multi-dimensional leak characteristics, significantly improving the ability to identify micro-leakage. The first detection device monitors the air pressure status of the sealing device in real time, while the second detection device captures abnormal sound signals. Combined with preset dynamic analysis conditions, it achieves real-time response and intelligent judgment during the detection process. The preset analysis conditions are modeled based on actual detection data. Through correlation analysis of air pressure and sound signals, it effectively distinguishes between normal fluctuations and actual leaks, reducing misjudgments caused by environmental interference.
[0076] In one possible implementation, step S300, when the second detection information meets preset analysis conditions, includes:
[0077] S310, obtain the first space size and the second space size; wherein, the first space size is used to reflect the internal space size of the explosion-proof valve, and the second space size is used to reflect the internal space size of the sealing device.
[0078] It can be understood that the second space size refers to the volume of the explosion-proof valve in its closed state after being placed behind the sealing device. Both the first and second space sizes can be characterized by volume. Both the first and second space sizes can be manually input. Alternatively, the first space size can be directly obtained from a volume database. A volume database contains information on the internal volumes of different explosion-proof valves. This data can be obtained through laboratory experiments, on-site measurements and monitoring, and past experience. After acquisition, the collected data is organized, classified, and archived, useful information and patterns are extracted, and the relevant data is saved to the database to form the volume database.
[0079] S320 calculates the equilibrium pressure based on the detection air pressure, the size of the first space, and the second space in the detection information; wherein, the equilibrium pressure is used to reflect the air pressure after the first space and the second space have reached equilibrium.
[0080] This is understandable. Since the air pressure in the first space is the detection pressure, and the air pressure in the second space is the normal air pressure, and the detection pressure is greater than the normal air pressure, gas in the first space will flow into the second space due to the pressure difference, eventually leading to a pressure balance between the two spaces. The equilibrium pressure is calculated as follows: (First space size × Detection pressure + Second space size × Normal air pressure) ÷ (First space size + Second space size). Normal air pressure refers to one standard atmosphere.
[0081] S330: When the first detection information reaches the equilibrium air pressure, it is determined that the preset analysis conditions are met, and at the same time, the first detection device is controlled to stop acquiring the first detection information, and the second detection device is controlled to stop acquiring the second detection information.
[0082] This is understandable because during the airtightness test of the exhaust valve, there is a certain pressure difference between the internal air pressure of the explosion-proof valve and the internal air pressure of the airtightness testing device. As the exhaust valve opens according to the detection opening degree, the air pressure inside the exhaust valve gradually decreases, while the air pressure inside the airtightness testing device gradually increases until the air pressures in the internal spaces of the explosion-proof valve and the airtightness testing device become equal. When the first detection information reaches the equilibrium pressure, the airtightness test of the explosion-proof valve is completed, meaning the first detection device stops acquiring the first detection information, and the second detection device stops acquiring the second detection information.
[0083] This setup, by calculating the balanced air pressure between the first and second spaces, replaces the traditional fixed threshold judgment. It can dynamically adapt to the detection needs of explosion-proof valves and sealing devices of different sizes or structures, avoid misjudgments caused by spatial differences, improve the universality and accuracy of detection, and trigger the stop condition when the first detection information reaches the balanced air pressure. It can accurately capture data at the key stage of detection, avoid redundant monitoring, shorten the detection cycle and reduce energy consumption, and is especially suitable for mass production scenarios.
[0084] In one possible implementation, in step S300, the detection information, the first detection information, and the second detection information are analyzed to obtain the detection result, including:
[0085] S340, based on the first detection information and the detection information, the leakage status is obtained; wherein, the leakage status includes a first status reflecting that the explosion-proof valve has no leakage point and a second status reflecting that the explosion-proof valve has a leakage point.
[0086] It is understandable that determining whether an explosion-proof valve is airtight is to check whether there are any leaks and the extent of the leaks.
[0087] For example, the internal pressure change of a leak-free explosion-proof valve can be obtained through detection information, reflecting the change in internal air pressure after the valve is opened to the detected opening degree in the detection information. The leakage status can then be determined by analyzing this internal pressure change with the first detection information. Alternatively, the rate of change of internal air pressure of a leak-free explosion-proof valve can be obtained through detection information, reflecting the change in internal air pressure after the valve is opened to the detected opening degree in the detection information.
[0088] In one possible implementation, in step S340, based on the first detection information and the detection information, the leakage status is obtained, including:
[0089] S341, obtain air pressure change based on detection information; wherein, air pressure change is used to reflect the change in internal air pressure of the sealing device after the leak-free explosion-proof valve is opened according to the detection information.
[0090] It can be understood that pressure change refers to the change in internal gas pressure over time during an airtightness test of a leak-free explosion-proof valve. Since the initial state of the explosion-proof valve is known (i.e., the initial gas pressure is the test pressure, and the volume is the size of the first space), and the initial state of the sealing device is also known (i.e., the initial gas pressure is the normal pressure, and the volume is the size of the second space), then the formula can be used: Pressure Change = Flow Rate Temperature Constant × × × The formula is calculated as follows: ÷ Second space size ÷ Gas molar mass, where the flow rate temperature constant is related to the detection opening and gas temperature, and can be manually input or obtained directly from a constant database. The detection pressure difference is the difference between the gas pressure in the second space and the normal gas pressure.
[0091] S342, based on the real-time comparison of air pressure changes and the first detection information, obtains the leakage status.
[0092] It is understandable that the first detection information is obtained in real time during the airtightness test of the explosion-proof valve. During the airtightness test, if a leak is found in the explosion-proof valve, the first detection information can be analyzed to obtain the pressure change within the sealing device. This pressure change is then compared with the pressure change inside the explosion-proof valve. If they are the same, it indicates that the explosion-proof valve has no leak, and this is the first leakage condition. Conversely, if they are different, it indicates that the explosion-proof valve has a leak, and this is the second leakage condition.
[0093] For example, the change in internal air pressure of the explosion-proof valve during the airtightness test can be obtained by analyzing the first detection information obtained in real time. This change is compared with the change in internal air pressure of a leak-free explosion-proof valve after it is opened according to the detection information, and the leakage status is determined based on the comparison result. When the comparison result shows that the change in internal air pressure of the explosion-proof valve during the airtightness test is the same as the change in internal air pressure of a leak-free explosion-proof valve after it is opened according to the detection information, the leakage status is output as the first status; otherwise, the leakage status is output as the second status. The process of obtaining the air pressure change in the sealing device by analyzing the first detection information is as follows: the air pressure obtained at the acquisition time in the first detection information is compared with the air pressure corresponding to the previous time, and the air pressure change in the sealing device is obtained.
[0094] This setup predicts the pressure change trend when there is no leak based on detection information (such as initial pressure, space size, etc.), establishes a dynamic benchmark, avoids misjudgments caused by equipment differences or environmental fluctuations in the traditional fixed threshold method, and improves detection adaptability. By comparing theoretical pressure changes with actual detection data (such as the first detection information) in real time, it can immediately detect small pressure deviations, significantly shortening the leak detection response time. The dynamic model combined with real-time data comparison can effectively distinguish between normal pressure fluctuations and real leaks, reduce false alarms caused by single parameter threshold judgments, and improve the ability to identify micro-leaks.
[0095] S350, when the leakage condition is the first condition, the test result is determined to be qualified.
[0096] It's understandable that leakage conditions are categorized into "no leakage" and "leakage present," each corresponding to a different processing path. When a leak-free condition is determined, a pass / fail conclusion is directly output, reducing redundant calculations and resource consumption.
[0097] This setup allows for the first-level leak detection of the explosion-proof valve based on changes in air pressure, enabling rapid and accurate identification of potential leak risks in the early stages, while reducing detection costs and enhancing the system's intelligence.
[0098] In one possible implementation, step S300, which involves analyzing the detection information, the first detection information, and the second detection information to obtain a detection result, further includes:
[0099] S360, when the leakage condition is the second condition, analyzes the detection information, the first detection information and the second detection information to obtain the detection result.
[0100] Understandably, when the leakage condition is classified as condition two, it indicates that the pressure change within the sealing device differs from the pressure change during the airtightness test of a leak-free explosion-proof valve. This suggests that the exhaust valve is leaking.
[0101] For example, the sound generated at the detection opening during the airtightness test of the explosion-proof valve can be obtained from the second detection information. Then, based on the detected sound signal and the second detection information, the sound generated at the leak point in the second detection information can be obtained. Simultaneously, based on the first detection information, the total gas volume passing through all leak points per unit time can be obtained. Finally, the detection result is obtained by analyzing the total gas volume passing through all leak points per unit time and the sound generated at the leak point in the second detection information. Alternatively, the detection result can be obtained through a learning model. The detection information, the first detection information, and the second detection information are input into the learning model, and the learning model outputs the corresponding detection result. The training process of the learning model can use the data obtained after processing the initial temperature change graph, the first temperature information, the second temperature information, and the corresponding detection results as the training dataset for the learning model. The training dataset is then input into the learning model for training, ultimately resulting in the learned model.
[0102] This setup divides the leakage situation into two states: "no leakage" and "leakage present". In the case of leakage, it combines detection information (air pressure, opening degree), first detection information (air pressure of sealing device), and second detection information (sound signal) for comprehensive analysis. By using multimodal data cross-validation, it effectively distinguishes between real leakage and environmental interference (such as temperature fluctuations and mechanical vibration), significantly reducing the false judgment rate and improving diagnostic reliability. Through the hierarchical judgment mechanism, it avoids lengthy in-depth analysis of all test samples, and only invests additional computing resources in suspected leakage samples, greatly shortening the overall detection cycle. It is especially suitable for high-throughput industrial detection scenarios, achieving a balance between efficiency and accuracy.
[0103] In one possible implementation, in step S360, when the leakage condition is the second condition, analysis is performed based on the detection information, the first detection information, and the second detection information to obtain the detection result, including:
[0104] S361, Obtain the detection sound signal from the second detection information; wherein, the detection sound signal is used to reflect the sound generated at the detection opening when the explosion-proof valve is tested for airtightness.
[0105] This is understandable because the opening area corresponding to the detected opening degree is larger than the opening area of the leakage point of the explosion-proof valve. In other words, the amplitude of the sound generated at the opening corresponding to the detected opening degree is the maximum value in the second detection information. Therefore, the sound signal with the largest amplitude in the second detection information can be obtained as the detection sound signal.
[0106] S362, based on the detected sound signal and the second detection information, at least one leak point sound is obtained; wherein, the leak point sound is used to reflect the sound generated by the leak point in the second detection information.
[0107] It is understandable that the leakage point sound can be obtained by analyzing the significant peaks in the second detection information within the time range of its acquisition, then analyzing the frequency changes of the corresponding sound signals, and finally filtering the significant peaks in the second detection information based on these frequency changes. Specifically, the filtering process can use the frequency changes of the sound signals as a selection criterion, identifying sound signals whose frequency changes, corresponding to multiple significant peaks in the second detection information, have similar trends to the frequency changes of the detected sound signals. These filtered sound signals are then considered the leakage point sounds. Alternatively, by analyzing the frequency changes of the detected sound signals, the sound signals corresponding to the significant peaks whose frequency changes are synchronous with the frequency changes of the analyzed sound signals are identified as the leakage point sounds.
[0108] In one possible implementation, in step S362, based on the detected sound signal and the second detection information, at least one leak point sound is obtained, including:
[0109] S3621, Obtain multiple sound intensity peaks from the second detection information; wherein, the sound intensity peaks are used to reflect the significant peaks that appear in the second detection information within the time range of obtaining the second detection information.
[0110] It is understandable that during the airtightness test of the explosion-proof valve, because there is a certain pressure difference between the internal space of the explosion-proof valve and the internal space of the airtightness test device, sound will be generated at the leakage point when the explosion-proof valve is tested by actively reducing the pressure. This will be reflected as a significant sound peak in the second detection information obtained in real time.
[0111] S3622, based on the detected sound signal, obtain the detection frequency drop; wherein, the detection frequency drop is used to reflect the frequency change of the detected sound signal.
[0112] It is understandable that the detection frequency drop is the frequency change corresponding to the detection sound signal. This can be achieved by performing Fourier transform processing on the detection sound signal obtained in real time from the second detection information, extracting the frequency values corresponding to the detection sound signal at different times, and then processing the frequency values at different times in chronological order to finally obtain the detection frequency drop.
[0113] S3623, based on multiple sound intensity peaks, obtains multiple frequency drops corresponding to multiple sound intensity peaks; wherein, the frequency drops are used to reflect the frequency changes corresponding to the sound intensity peaks.
[0114] It is understandable that the process of obtaining multiple frequency drops corresponding to multiple sound intensity peaks can be obtained by obtaining the detected frequency drops in step S3622, which will not be elaborated here.
[0115] S3624, based on multiple frequency drops and detection frequency drops, determines at least one leak point sound from multiple sound intensity peaks.
[0116] It is understandable that during the airtightness test of the explosion-proof valve, the frequency of the sound generated by the leakage point on the explosion-proof valve will decrease as the air pressure inside the explosion-proof valve decreases. The frequency change of the sound generated at the artificially opened part can be regarded as a large "leak point". That is, the frequency change of the sound corresponding to the artificially opened part can be used as a reference, and the frequency drop with a frequency change similar to the detection frequency drop among multiple frequency drops can be regarded as the leakage point.
[0117] For example, by comparing the similarity between multiple frequency drops and the detected frequency drop, the sound corresponding to the frequency drop with a similarity greater than a preset threshold can be used as the sound generated by the leakage point.
[0118] This setup simultaneously extracts sound intensity peaks (reflecting the energy characteristics of the leakage signal) and frequency drops (reflecting the frequency domain changes of the leakage signal), combining time and frequency domain information to overcome the limitations of single-parameter detection. Through cross-validation of multi-dimensional features, the ability to identify minute leaks is significantly improved. By dynamically matching the frequency drops corresponding to multiple sound intensity peaks with the detected frequency drops, it is possible to distinguish between real leakage signals and background noise interference (such as mechanical vibration or environmental noise).
[0119] S363, based on the first detection information, the total leakage amount is obtained; whereby the total leakage amount is used to reflect the total amount of gas passing through all leakage points of the explosion-proof valve per unit time.
[0120] It is understandable that the first detection pressure difference can be obtained from the first detection information, and then processed by the first detection pressure difference and the size of the second space to finally obtain the total leakage amount. The first detection pressure difference is the difference between the end pressure and the initial pressure in the first detection information. The end pressure is the pressure value corresponding to the last time period in the time period of the real-time acquired first detection information, and the initial pressure is the pressure value corresponding to the first time period in the time period of the real-time acquired first detection information. Total leakage amount = (first detection pressure difference × first space size) × standard molar volume ÷ (gas constant × temperature), where the standard molar volume and gas constant are fixed values, and the temperature can be directly obtained through a temperature sensor.
[0121] S364 obtains the detection results based on the sound from at least one leak point and the total leakage amount.
[0122] It's understandable that during a gas leak, the internal pressure energy is converted into kinetic energy, and some of this energy is released as sound waves. The larger the leak, the more gas energy passes through the leak point per unit time, and the greater the sound energy generated.
[0123] For example, the total leakage can be compared with the maximum permissible total leakage of the entire explosion-proof valve. When the total leakage is less than the maximum permissible total leakage, further analysis is performed based on the sound of the leak point and the total leakage to obtain the gas leakage amount at a single leak point per unit time. Finally, the gas leakage amount at a single leak point per unit time is compared with the maximum permissible gas leakage at a single leak point in the explosion-proof valve to obtain the detection result. Alternatively, the detection result can be obtained through an analysis model. The sound of the leak point and the total leakage are input into the analysis model, and the model outputs the corresponding detection result. The training process of the analysis model can use the data after processing the sound of the leak point, the total leakage, and the corresponding detection result as the training dataset for the analysis model. The analysis model is then trained by inputting the training dataset into the analysis model to obtain the final analysis model.
[0124] This setup, through the deep integration of acoustic signals and airtightness detection data, constructs a comprehensive detection system that considers leak point identification, leak volume quantification, and intelligent assessment. This improves the accuracy and reliability of the detection results. It achieves precise leak point location by detecting acoustic signals at the opening (such as the sound of a leak), while simultaneously quantifying the leak scale based on air pressure data (such as the total leak volume), overcoming the limitations of single-parameter detection. This dual verification significantly reduces the false alarm rate.
[0125] In one possible implementation, in step S364, based on the sound from at least one leak point and the total leakage amount, a detection result is obtained, including:
[0126] S3641, when the total leakage is less than the first leakage threshold, at least one leakage amount is obtained based on the sound of at least one leakage point and the total leakage; wherein, the first leakage threshold is used to reflect the maximum allowable total leakage of the explosion-proof valve as a whole, and the leakage amount is used to reflect the gas leakage amount of a single leakage point per unit time.
[0127] It is understandable that when the total leakage is less than the first leakage threshold, it indicates that the total leakage of the explosion-proof valve meets the standard. However, the leakage at a single leak point of the explosion-proof valve may not meet the airtightness requirements. Therefore, it is necessary to analyze the leakage at each individual point.
[0128] For example, the sound intensity corresponding to the sound at the leak point can be extracted, and then the energy of multiple sound intensities can be superimposed through sound intensity analysis. Based on this result and the sound intensity, the contribution level corresponding to the sound intensity can be obtained. Then, based on the contribution level and the total leakage amount, the leakage amount corresponding to each leak point can be obtained. In this process, if there is only one leak point, the contribution level of the sound energy corresponding to that leak point is 100%, that is, the leakage of one leak point is the total leakage amount. If there are multiple leak points, the total leakage amount can be distributed to the corresponding multiple leak points according to the contribution level, that is, the leakage amount corresponding to multiple leak points can be obtained.
[0129] In one possible implementation, in step S3641, when the total leakage is less than a first leakage threshold, at least one leakage amount is obtained based on the sound from at least one leakage point and the total leakage amount, including:
[0130] S36411, Based on the sound of at least one leak point, extract the sound intensity features corresponding to the sound of at least one leak point; wherein, the sound intensity features are used to reflect the amplitude of the sound of the leak point.
[0131] For example, the maximum absolute value can be obtained by iterating through the sound signals at each leakage point and taking the maximum absolute value, and then using the maximum absolute value as the sound intensity feature corresponding to the sound at the leakage point.
[0132] S36412, calculate the total sound intensity based on sound intensity features; where the total sound intensity is used to reflect the result after superimposing the energy of multiple sound intensity features.
[0133] For example, the total sound intensity can be calculated by performing energy flux conversion on each sound intensity feature and then summing the converted fluxes of all sound intensity features.
[0134] S36413, based on the sound intensity characteristics and the total sound intensity, obtain the leakage ratio corresponding to the sound of at least one leakage point; wherein, the leakage ratio is used to reflect the relative contribution of the sound of the corresponding leakage point to the total sound intensity.
[0135] It can be understood that the leakage ratio = energy intensity corresponding to the sound intensity characteristic ÷ total sound intensity.
[0136] S36414, based on the total leakage amount and the leakage ratio, obtain the leakage amount corresponding to at least one leakage point.
[0137] It can be understood that leakage amount = total leakage amount × leakage ratio. Each leakage point corresponds to a leakage ratio, and each leakage ratio corresponds to a leakage amount.
[0138] This setup, through energy distribution analysis of acoustic signals and dynamic allocation of leakage, constructs a diagnostic system from "sound feature extraction" to "leakage decoupling." It significantly improves detection accuracy and anti-interference capabilities in multi-leakage scenarios. Furthermore, the correlation analysis between leakage ratio and total leakage enables quantitative classification and prioritized response to leakage risks. By extracting the amplitude characteristics (such as sound intensity) of the sound at each leak point and calculating its proportion in the total sound intensity (leakage ratio), independent energy decoupling of multiple leak points is achieved. Through the correlation analysis between total leakage and leakage ratio, the macroscopic total leakage (such as the total gas volume per unit time) is allocated to specific leak points, achieving point-by-point quantification of leakage.
[0139] S3642, a comparison result is obtained by comparing at least one leakage amount with a second leakage threshold; wherein, the second leakage threshold is used to reflect the maximum allowable gas leakage amount at a single leakage point in the explosion-proof valve.
[0140] It's understandable that the second leakage threshold can be manually entered, or it can be directly obtained from a threshold database. The comparison result = leakage amount - second leakage threshold.
[0141] S3643, when at least one leakage amount in the comparison results is greater than the second leakage threshold, the test result is determined to be unqualified; when all leakage amounts in the comparison results are less than the second leakage threshold, the test result is determined to be qualified.
[0142] It is understandable that when the leakage amount corresponding to at least one leak point is greater than the second leakage threshold, it can be said that the leak point does not meet the maximum allowable gas leakage amount for a single leak point, indicating that the leak point does not meet the qualification requirements, that is, the output of the airtightness test result of the explosion-proof valve is unqualified. Conversely, when the leakage amount corresponding to all leak points is less than the second leakage threshold, it can be said that the leak points of the explosion-proof valve all meet the maximum allowable gas leakage amount for a single leak point, that is, the output of the airtightness test result of the explosion-proof valve is qualified.
[0143] This setup, by distinguishing between total leakage (the first leakage threshold) and leakage at a single leak point (the second leakage threshold), enables tiered control of leakage risk. The total leakage threshold ensures that the overall airtightness of the explosion-proof valve meets safety standards, while the single-point leakage threshold prevents excessive local leakage (such as welding defects or concentrated pores), avoiding overall risk caused by the superposition of multiple micro-leakages. Combining acoustic signal location of leak points (e.g., acoustic imaging technology in a knowledge base) with air pressure data quantification of leakage (e.g., the efficient analytical capabilities of airtightness testing equipment in a knowledge base) forms a "location-quantification-judgment" closed loop. The dynamic correlation between the amplitude characteristics of the acoustic signal and the total leakage can accurately identify the contribution of leak points (e.g., energy decoupling strategies in a knowledge base), avoiding the limitations of single-parameter detection. This improves the accuracy and reliability of the detection results.
[0144] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0145] Corresponding to the explosion-proof valve airtightness testing method described in the above embodiments, this application also provides an explosion-proof valve airtightness testing system. Each module of the explosion-proof valve airtightness testing system can realize each step of the explosion-proof valve airtightness testing method. Figure 3 The diagram shows a structural block diagram of the explosion-proof valve airtightness testing system provided in the embodiments of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.
[0146] Reference Figure 3 The explosion-proof valve airtightness testing system includes:
[0147] The acquisition module is used to acquire detection information, which includes detection air pressure reflecting the magnitude of the air pressure used to test the explosion-proof valve and detection valve opening reflecting the valve opening degree used to test the explosion-proof valve.
[0148] The detection and acquisition module is used to perform airtightness testing on the explosion-proof valve based on the detection information. The first detection device acquires the first detection information in real time, and the second detection device acquires the second detection information in real time. The first detection information is used to reflect the air pressure in the sealing device, and the second detection information is used to reflect the sound signal in the sealing device.
[0149] The analysis module is used to analyze the detection information, the first detection information, and the second detection information when the second detection information meets the preset analysis conditions, and to obtain the detection results; wherein, the preset analysis conditions are obtained based on the detection information, and the detection results are used to reflect the qualification status of the explosion-proof valve.
[0150] It should be noted that the information interaction and execution process between the above systems / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.
[0151] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0152] This application also provides an airtightness testing device, which includes a sealing device, a first testing device, a second testing device, and a control device. The sealing device, the first testing device, the second testing device, and the control device are electrically connected. Figure 4 This is a schematic diagram of the structure of the control device 4 provided in one embodiment of this application. Figure 4 As shown, the control device 4 in this embodiment includes: at least one processor 40 ( Figure 4 Only one is shown in the image), at least one memory 41 ( Figure 4 (Only one is shown in the diagram) and a computer program 42 stored in the at least one memory 41 and executable on the at least one processor 40, wherein when the processor 40 executes the computer program 42, it causes the control device 4 to perform the steps in any of the above-described method embodiments, or causes the control device 4 to perform the functions of each module / unit in the above-described system embodiments.
[0153] For example, the computer program 42 may be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 42 in the control device 4.
[0154] The control device 4 can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The control device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that... Figure 4This is merely an example of control device 4 and does not constitute a limitation on control device 4. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.
[0155] The processor 40 can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.
[0156] In some embodiments, the memory 41 may be an internal storage unit of the control device 4, such as a hard disk or memory of the control device 4. In other embodiments, the memory 41 may be an external storage device of the control device 4, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the control device 4. Furthermore, the memory 41 may include both internal storage units and external storage devices of the control device 4. The memory 41 is used to store operating systems, applications, bootloaders, data, and other programs, such as the program code of computer programs. The memory 41 can also be used to temporarily store data that has been output or will be output.
[0157] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.
[0158] This application provides a computer program product that, when run on an airtightness testing device, enables the airtightness testing device to perform the steps described in any of the above method embodiments.
[0159] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to the airtightness detection device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk.
[0160] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0161] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0162] In the embodiments provided in this application, it should be understood that the disclosed explosion-proof valve airtightness testing system and airtightness testing device can be implemented in other ways. For example, the explosion-proof valve airtightness testing system embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.
[0163] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0164] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. A method for testing the airtightness of an explosion-proof valve, characterized in that, Applied to an airtightness testing device, the method includes: Acquire detection information; wherein, the detection information includes detection air pressure reflecting the magnitude of the air pressure used to detect the explosion-proof valve and detection opening degree reflecting the valve opening degree used to detect the explosion-proof valve; Based on the detection information, the explosion-proof valve is subjected to airtightness testing. A first detection device acquires first detection information in real time, and a second detection device acquires second detection information in real time. The airtightness testing of the explosion-proof valve based on the detection information includes increasing the internal air pressure of the explosion-proof valve to the detection air pressure by inflating it, then placing the explosion-proof valve in a sealed airtightness testing device, and then controlling the explosion-proof valve to open according to the detection opening degree. The first detection information reflects the air pressure in the sealing device, and the second detection information reflects the sound signal in the sealing device. When the second detection information meets the preset analysis conditions, the detection information, the first detection information, and the second detection information are analyzed to obtain the detection result; wherein, the preset analysis conditions are obtained based on the detection information, and the detection result is used to reflect the qualification status of the explosion-proof valve; The step of analyzing the detection information, the first detection information, and the second detection information to obtain the detection result includes: Based on the first detection information and the detection information, a leakage status is obtained; wherein, the leakage status includes a first status reflecting that the explosion-proof valve has no leakage point and a second status reflecting that the explosion-proof valve has a leakage point; When the leakage condition is the first condition, the test result is determined to be qualified; When the leakage condition is the second condition, the detection results are obtained by analyzing the detection information, the first detection information, and the second detection information. This includes: when the total leakage amount obtained by analyzing the first detection information, which reflects the total amount of gas passing through all leakage points in a unit time, is less than the maximum allowable leakage amount of the explosion-proof valve as a whole, the gas leakage amount of a single leakage point in a unit time is obtained by analyzing the sound generated at the detection opening during the airtightness test of the explosion-proof valve, which is obtained by analyzing the sound generated at the leakage point and the total leakage amount, based on the second detection information and the sound generated at the detection opening during the airtightness test of the explosion-proof valve. The gas leakage amount of the single leakage point in a unit time is then compared with the maximum allowable gas leakage amount of the single leakage point to obtain the detection result.
2. The method for testing the airtightness of an explosion-proof valve as described in claim 1, characterized in that, The step of "when the first detection information meets the preset analysis conditions" includes: Obtain a first space size and a second space size; wherein, the first space size is used to reflect the internal space size of the explosion-proof valve, and the second space size is used to reflect the internal space size of the sealing device; The equilibrium pressure is calculated based on the detected air pressure, the size of the first space, and the size of the second space in the detection information; wherein, the equilibrium pressure is used to reflect the air pressure after the size of the first space and the size of the second space have reached equilibrium; When the first detection information reaches the equilibrium air pressure, it is determined that the preset analysis conditions are met, and at the same time, the first detection device is controlled to stop acquiring the first detection information, and the second detection device is controlled to stop acquiring the second detection information.
3. The method for testing the airtightness of an explosion-proof valve as described in claim 1, characterized in that, The process of obtaining the leakage status based on the first detection information and the detection information includes: The gas pressure change is obtained based on the detection information; wherein, the gas pressure change is used to reflect the change in internal gas pressure of the sealing device after the leak-free explosion-proof valve is opened according to the detection information; The leakage status is obtained by comparing the pressure change with the first detection information in real time.
4. The method for testing the airtightness of an explosion-proof valve as described in claim 1, characterized in that, When the leakage condition is the second condition, the detection results are obtained by analyzing the detection information, the first detection information, and the second detection information, including: The detection sound signal is obtained from the second detection information; wherein the detection sound signal is used to reflect the sound generated at the detection opening when the explosion-proof valve is tested for air tightness. Based on the detected sound signal and the second detection information, at least one leak point sound is obtained; wherein, the leak point sound is used to reflect the sound generated by the leak point in the second detection information; Based on the first detection information, the total leakage amount is obtained; wherein, the total leakage amount is used to reflect the total amount of gas passing through all leakage points of the explosion-proof valve per unit time; The detection result is obtained based on the sound from at least one of the leakage points and the total leakage amount.
5. The method for testing the airtightness of an explosion-proof valve as described in claim 4, characterized in that, The step of obtaining at least one leak point sound based on the detected sound signal and the second detection information includes: Multiple sound intensity peaks are obtained from the second detection information; wherein, the sound intensity peaks are used to reflect the significant peaks that appear in the second detection information within the time range of obtaining the second detection information; Based on the detected sound signal, a detection frequency drop is obtained; wherein, the detection frequency drop is used to reflect the frequency change of the detected sound signal; Based on the multiple sound intensity peaks, multiple frequency drops corresponding to the multiple sound intensity peaks are obtained; wherein, the frequency drops are used to reflect the frequency changes corresponding to the sound intensity peaks; Based on the multiple frequency drops and the detection frequency drops, at least one of the leakage point sounds is determined from the multiple sound intensity peaks.
6. The method for testing the airtightness of an explosion-proof valve as described in claim 4, characterized in that, The detection result is obtained based on the sound from at least one of the leakage points and the total leakage amount, including: When the total leakage is less than a first leakage threshold, at least one leakage amount is obtained based on the sound from at least one of the leakage points and the total leakage; wherein, the first leakage threshold is used to reflect the maximum allowable total leakage of the explosion-proof valve as a whole, and the leakage amount is used to reflect the gas leakage amount of a single leakage point per unit time; A comparison result is obtained by comparing at least one of the leakage amounts with a second leakage threshold; wherein the second leakage threshold is used to reflect the maximum allowable gas leakage amount at a single leakage point in the explosion-proof valve; When at least one of the leakage amounts in the comparison results is greater than the second leakage threshold, the test result is determined to be unqualified; when all the leakage amounts in the comparison results are less than the second leakage threshold, the test result is determined to be qualified.
7. The method for testing the airtightness of an explosion-proof valve as described in claim 6, characterized in that, The process of obtaining at least one leakage amount based on the sound from at least one of the leakage points and the total leakage amount includes: Based on the sound from at least one of the leak points, sound intensity features corresponding to the sound from at least one of the leak points are extracted; wherein, the sound intensity features are used to reflect the amplitude corresponding to the sound from the leak point; Based on the sound intensity features, the total sound intensity is calculated; wherein, the total sound intensity is used to reflect the result of superimposing the energy of multiple sound intensity features; Based on the sound intensity characteristics and the total sound intensity, the leakage ratio corresponding to at least one of the leakage points is obtained; wherein, the leakage ratio is used to reflect the relative contribution of the corresponding leakage point sound to the total sound intensity; Based on the total leakage amount and the leakage ratio, the leakage amount corresponding to at least one of the leakage points is obtained.
8. An airtightness testing device, characterized in that, The method includes a sealing device, a first detection device, a second detection device, and a control device. The sealing device, the first detection device, and the second detection device are electrically connected to the control device. The control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method as described in any one of claims 1 to 7.
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