Air tightness detection method and air tightness detection device for explosion-proof valve

Abstract

The invention is suitable for the technical field of anti-explosion valve detection, and particularly relates to an anti-explosion valve air tightness detection method and an air tightness detection device, and the method comprises the steps: obtaining detection information; air tightness detection is conducted on the explosion-proof valve based on the detection information, the first detection device obtains first detection information in real time, and the second detection device obtains second detection information in real time; wherein the first detection information is used for reflecting the air pressure in the sealing device, and the second detection information is used for reflecting a sound signal in the sealing device; when the second detection information meets a preset analysis condition, performing analysis according to the detection information, the first detection information and the second detection information to obtain a detection result; wherein the preset analysis condition is obtained based on the detection information, and the detection result is used for reflecting the qualification condition of the anti-explosion valve. According to the explosion-proof valve airtightness detection method provided by the invention, the problem of low detection efficiency can be improved.

Description

Technical Field

[0001] The present application belongs to the technical field of explosion-proof valve detection, and in particular relates to an explosion-proof valve air tightness detection method and an air tightness detection device. Background Art

[0002] Explosion-proof valve air tightness testing refers to verifying whether the explosion-proof valve can effectively prevent the leakage of gas or liquid media when it is closed, ensuring its sealing performance and safety and reliability under high pressure, high temperature or other dangerous working conditions.

[0003] In related technologies, the air tightness of explosion-proof valves is often tested by the pressure drop method. The pressure drop method refers to first introducing a certain amount of gas into the explosion-proof valve to create a certain pressure difference between the air pressure inside the explosion-proof valve and the air pressure outside the explosion-proof valve. The air tightness of the explosion-proof valve is then judged by monitoring whether the air pressure inside the explosion-proof valve decreases and the degree of pressure reduction within a set detection time period. However, the pressure drop method requires waiting for the natural decay of the sealing system to judge the air tightness of the explosion-proof valve, resulting in low detection efficiency. Summary of the Invention

[0004] The embodiments of the present application provide an explosion-proof valve air tightness detection method and an air tightness detection device, which can improve the problem of low detection efficiency.

[0005] In a first aspect, an embodiment of the present application provides a method for detecting air tightness of an explosion-proof valve, comprising: Acquire detection information; wherein the detection information includes a detection pressure for reflecting the size of the air pressure for detecting the explosion-proof valve and a detection opening for reflecting the valve opening for detecting the explosion-proof valve; Based on the detection information, the explosion-proof valve is tested for air tightness, with the first detection device acquiring first detection information in real time, and the second detection device acquiring second detection information in real time; wherein 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; When the second detection information meets the preset analysis conditions, analysis is performed based on the detection information, the first detection information and the second detection information to obtain a detection result; wherein, the preset analysis conditions are obtained based on the detection information, and the detection result is used to reflect the qualification of the explosion-proof valve.

[0006] The above technical solutions in the embodiments of the present application have at least the following technical effects: The explosion-proof valve air tightness detection method provided in the embodiment of the present application first obtains detection information including detection air pressure for reflecting the size of the air pressure detected in the explosion-proof valve and detection opening for reflecting the valve opening detected in the explosion-proof valve. While performing air tightness detection on the explosion-proof valve based on the detection information, the first detection device obtains first detection information for reflecting the size of the air pressure in the sealing device in real time, and the second detection device obtains second detection information for reflecting the sound signal in the sealing device in real time. When the second detection information meets the preset analysis condition 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 detection result reflecting the qualified condition of the explosion-proof valve.

[0007] This method can effectively place the explosion-proof valve into the detection device with a set opening and a set air pressure to perform active pressure reduction detection. Through the amplification effect of dynamic airflow, the air tightness detection time of the explosion-proof valve can be shortened, and the leakage situation can be determined by the air pressure in the sealing device. When it is confirmed that the explosion-proof valve has a leak, the qualified status of the explosion-proof valve can be obtained by combining the air pressure in the sealing device and the sound signal.

[0008] In a possible implementation of the first aspect, when the first detection information meets a preset analysis condition, the method includes: Obtaining 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; Calculating a balanced air pressure based on the detected air pressure, the first space size, and the second space size in the detection information; wherein the balanced air pressure is used to reflect the air pressure size after the first space size and the second space size reach equilibrium; When the first detection information reaches the equilibrium air pressure, it is determined that the preset analysis condition is 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.

[0009] In a possible implementation of the first aspect, the analyzing according to the detection information, the first detection information, and the second detection information to obtain a 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 for reflecting that there is no leakage point in the explosion-proof valve and a second status for reflecting that there is a leakage point in the explosion-proof valve; When the leakage condition is the first condition, the detection result is determined to be qualified.

[0010] In a possible implementation of the first aspect, the analyzing the detection information, the first detection information, and the second detection information to obtain a detection result further includes: When the leakage condition is the second condition, an analysis is performed based on the detection information, the first detection information, and the second detection information to obtain a detection result.

[0011] In a possible implementation of the first aspect, obtaining the leakage status based on the first detection information and the detection information includes: Obtaining air pressure changes based on the detection information; wherein the air pressure changes are used to reflect changes in the internal air pressure of the sealing device after the explosion-proof valve without leakage is opened according to the detection information; The leakage status is obtained based on a real-time comparison between the air pressure change and the first detection information.

[0012] In a possible implementation of the first aspect, when the leakage condition is the second condition, analyzing based on the detection information, the first detection information, and the second detection information to obtain a detection result includes: Acquiring a 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 subjected to airtightness detection; Based on the detection sound signal and the second detection information, at least one leakage point sound is obtained; wherein the leakage point sound is used to reflect the sound generated by the leakage point in the second detection information; Based on the first detection information, a total leakage volume is obtained; wherein the total leakage volume is used to reflect the total amount of gas passing through all leakage points of the explosion-proof valve within a unit time; A detection result is obtained based on the sound of at least one leakage point and the total leakage amount.

[0013] In a possible implementation of the first aspect, obtaining at least one leakage point sound based on the detection sound signal and the second detection information includes: Acquire multiple sound intensity peaks from the second detection information; wherein the sound intensity peaks are used to reflect significant peaks of the second detection information that appear within a time range of acquiring the second detection information; Based on the detection sound signal, a detection frequency drop is obtained; wherein the detection frequency drop is used to reflect the frequency change of the detection sound signal; Based on the plurality of sound intensity peaks, a plurality of frequency drops corresponding to the plurality of sound intensity peaks are obtained; wherein the frequency drops are used to reflect frequency changes corresponding to the sound intensity peaks; At least one leakage point sound is determined from a plurality of sound intensity peaks based on the plurality of frequency drops and the detected frequency drops.

[0014] In a possible implementation of the first aspect, obtaining a detection result based on the sound of at least one leakage point and the total leakage amount includes: When the total leakage amount is less than a first leakage threshold, at least one leakage amount is obtained based on the sound of at least one leakage point and the total leakage amount; wherein the first leakage threshold is used to reflect the maximum total leakage amount allowed by 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 based on comparing at least one of the leakage amounts with a second leakage threshold, wherein the second leakage threshold is used to reflect the maximum gas leakage amount allowed by 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 of the leakage amounts in the comparison results are less than the second leakage threshold, the test result is determined to be qualified.

[0015] In a possible implementation of the first aspect, obtaining at least one leakage amount based on the sound of at least one leakage point and the total leakage amount includes: Based on at least one of the leakage point sounds, extracting a sound intensity feature corresponding to at least one of the leakage point sounds; wherein the sound intensity feature is used to reflect the amplitude corresponding to the leakage point sound; Calculating a total sound intensity based on the sound intensity feature; wherein the total sound intensity is used to reflect the result of energy superposition of multiple sound intensity features; Based on the sound intensity characteristics and the total sound intensity, obtaining a leakage ratio corresponding to at least one of the leakage point sounds; 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, a leakage amount corresponding to at least one of the leakage points is obtained.

[0016] In a second aspect, an embodiment of the present application provides an explosion-proof valve air tightness detection system, comprising: An acquisition module, configured to acquire detection information; wherein the detection information includes a detection pressure for reflecting the magnitude of the air pressure for detecting the explosion-proof valve and a detection opening for reflecting the valve opening for detecting the explosion-proof valve; a detection and acquisition module, configured to perform air tightness detection on the explosion-proof valve based on the detection information, wherein the first detection device acquires first detection information in real time, and the second detection device acquires second detection information in real time; wherein 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; An analysis module is used to analyze the detection information, the first detection information and the second detection information to obtain a detection result when the second detection information meets a preset analysis condition; wherein the preset analysis condition is obtained based on the detection information, and the detection result is used to reflect the qualification of the explosion-proof valve.

[0017] In the third aspect, an embodiment of the present application provides an airtightness detection device, including a sealing device, a first detection device, a second detection device and a control device, wherein the sealing device, the first detection device and the second detection device are electrically connected to the control device, and the control device includes a memory, a processor, and a computer program stored in the memory and runnable on the processor, and when the computer program is executed by the processor, it implements the method described in any one of the first aspects above.

[0018] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the first aspects above is implemented.

[0019] In a fifth aspect, an embodiment of the present application provides a computer program. When the computer program is run on an airtightness detection device, the airtightness detection device executes the explosion-proof valve airtightness detection method described in any one of the first aspects above.

[0020] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0022] Figure 1 1 is a flow chart of a method for detecting air tightness of an explosion-proof valve provided in one embodiment of the present application; Figure 2 This is a schematic diagram of the implementation process of the explosion-proof valve air tightness detection method provided in one embodiment of the present application; Figure 3 This is a structural diagram of an explosion-proof valve air tightness detection system provided in one embodiment of the present application; Figure 4 It is a structural schematic diagram of a control device of an airtightness detection device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0023] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0024] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0025] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0026] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0027] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0028] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in 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 "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0029] In the related art, the air tightness of explosion-proof valves is often tested by the pressure drop method. The pressure drop method refers to first introducing a certain amount of gas into the explosion-proof valve to create a certain pressure difference between the air pressure inside the explosion-proof valve and the air pressure outside the explosion-proof valve, and then judging the air tightness of the explosion-proof valve by monitoring whether the air pressure inside the explosion-proof valve decreases and the degree of the air pressure decrease within a set detection time period. However, the pressure drop method requires waiting for the natural decay of the sealing system to judge the air tightness of the explosion-proof valve, resulting in low detection efficiency. Moreover, it can only judge whether the air tightness is insufficient. In the case that the overall leakage of the explosion-proof valve meets the air tightness requirements, but the leakage of a single leakage point of the explosion-proof valve does not meet the air tightness requirements, the total leakage of the air tightness of the pressure drop method is not sufficiently reduced.

[0030] To address the above-mentioned issues, embodiments of the present application provide a method and device for detecting the air tightness of an explosion-proof valve. In this method, detection information including a detection air pressure reflecting the magnitude of the air pressure detected by the explosion-proof valve and a detection opening reflecting the valve opening detected by the explosion-proof valve are first obtained. While performing air tightness detection on the explosion-proof valve based on the detection information, a first detection device obtains first detection information reflecting the magnitude of the air pressure in the sealing device in real time, and a second detection device obtains second detection information reflecting the sound signal in the sealing device in real time. When the second detection information satisfies a preset analysis condition obtained based on the detection information, an analysis is performed based on the detection information, the first detection information, and the second detection information to obtain a test result reflecting the qualification of the explosion-proof valve.

[0031] The explosion-proof valve air tightness detection method provided in the embodiment of the present application can be applied to an air tightness detection device. In this case, the air tightness detection device is the executor of the explosion-proof valve air tightness detection method provided in the embodiment of the present application.

[0032] The airtightness detection 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 is used to prevent gas leakage in the airtightness detection device and to prevent external gas from invading the interior of the airtightness detection device. The sealing device can be a sealing cover or a sealing box. The first detection device is used to detect the air pressure in 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 is used to detect sound signals in the sealing device. For example, the second detection device can be a microphone or an ultrasonic sensor. The control device is used to monitor and control the airtightness detection process of the explosion-proof valve.

[0033] For example, the control device can be a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a smart screen, a smart TV, a handheld device with wireless communication function, a desktop computer, a handheld device with wireless communication function, a computer, a laptop computer, a handheld computing device, etc.

[0034] In order to better understand the explosion-proof valve air tightness detection method provided in the embodiment of the present application, the specific implementation process of the explosion-proof valve air tightness detection method provided in the embodiment of the present application is exemplarily introduced below.

[0035] Figure 1 and Figure 2 A schematic flow chart of the explosion-proof valve air tightness detection method provided in the embodiment of the present application is shown. Figure 1 and Figure 2 , explosion-proof valve air tightness detection methods include: S100, acquiring detection information; wherein the detection information includes a detection air pressure for reflecting the size of the air pressure for detecting the explosion-proof valve and a detection opening for reflecting the opening of the air valve for detecting the explosion-proof valve.

[0036] It can be understood that the test air pressure refers to the pressure applied to the air inside the explosion-proof valve during the air tightness test. The test opening refers to the actual degree of opening of the explosion-proof valve's valve components relative to their closed position during the air tightness test. Both the test air pressure and the test opening can be obtained through manual input. They can also be directly obtained from a test database. The test database refers to a database containing the test air pressures and test openings corresponding to different explosion-proof valves. This data can be obtained through laboratory experiments, on-site measurements and monitoring, and historical experience. Once obtained, the collected data is organized, classified, and archived to extract useful information and patterns. The relevant data is then stored in a database to form a test database.

[0037] S200, based on the detection information, the explosion-proof valve is tested for air tightness, the first detection device obtains the first detection information in real time, and the second detection device obtains the second detection information in real time; wherein, 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.

[0038] It can be understood that the process of air tightness detection is to inflate the explosion-proof valve to increase the air pressure inside the explosion-proof valve to the detection pressure in the detection information, and then place the explosion-proof valve in a closed air tightness detection device, and then control the explosion-proof valve to open according to the detection opening, and the first detection device starts to obtain the first detection information, and the second detection device starts to obtain the second detection information.

[0039] S300, when the first detection information meets the preset analysis conditions, analysis is performed based on the detection information, the first detection information and the second detection information to obtain a detection result; wherein the preset analysis conditions are obtained based on the detection information, and the detection result is used to reflect the qualification of the explosion-proof valve.

[0040] For example, when the first detection information meets a preset analysis condition, the first detection information and the second detection information can be analyzed to obtain a first condition indicating that the explosion-proof valve does not have a leak and a second condition indicating that the explosion-proof valve does have a leak. When the explosion-proof valve does have a leak, a detection result can be obtained based on the detection information, the first detection information, and the second detection information. A machine learning model can also be used to output a detection result based on the preprocessed detection information, the first detection information, and the second detection information.

[0041] With this arrangement, the explosion-proof valve is placed in the detection device with a set opening and a set air pressure for active pressure reduction detection. The amplification effect of the dynamic airflow shortens the air tightness detection time of the explosion-proof valve, thereby improving the detection efficiency. The air pressure, valve opening and sound signals are collected simultaneously, breaking through the limitations of single parameter detection. The multi-dimensional characteristics of the leak can be captured to significantly improve the micro-leak identification capability. The air pressure status of the sealing device is monitored in real time by the first detection device, and the abnormal sound signal is captured by the second detection device. Combined with the preset dynamic analysis conditions, real-time response and intelligent judgment of the detection process are achieved. The preset analysis conditions are modeled based on actual detection data. Through the correlation analysis of air pressure-sound signals, normal fluctuations and real leaks can be effectively distinguished, reducing misjudgments caused by environmental interference.

[0042] In a possible implementation, in step S300, when the second detection information meets a preset analysis condition, the following steps are included: S310, obtaining 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.

[0043] It can be understood that the second space size refers to the volume size after the explosion-proof valve in the closed state is placed in the sealing device. The first space size and the second space size can both be characterized by volume. The first space size and the second space size can both be manually input. The first space size can also be directly obtained through a volume database. A volume database refers to a database containing the internal volumes corresponding to 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 to extract useful information and patterns. The relevant data is then saved in the database to form a volume database.

[0044] S320, calculating the equilibrium air pressure based on the detected air pressure in the detection information, the size of the first space, and the second space; wherein the equilibrium air pressure is used to reflect the size of the air pressure after the first space and the second space reach equilibrium.

[0045] It's understandable that because the air pressure in the first space is the test pressure and the air pressure in the second space is the normal pressure, and the test pressure is greater than the normal pressure, the gas in the first space will flow into the second space due to the pressure difference, eventually achieving pressure equilibrium between the first and second spaces. Equilibrium pressure = (size of first space × test pressure + size of second space × normal pressure) ÷ (size of first space + size of second space), where normal pressure refers to one standard atmosphere.

[0046] S330, when the first detection information reaches the equilibrium pressure, it is determined that the preset analysis condition is 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.

[0047] It is understandable that, during the air tightness 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 air tightness test device, and the exhaust valve is opened according to the test opening, that is, the air pressure in the internal space of the exhaust valve gradually decreases, and the air pressure in the internal space of the air tightness test device gradually increases, until the air pressure in the internal space of the explosion-proof valve and the internal space of the air tightness test device tend to be equal. When the first detection information reaches the equilibrium pressure, the air tightness test of the explosion-proof valve is completed, that is, 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.

[0048] With this setting, by calculating the balanced air pressure between the first space and the second space, it replaces the traditional fixed threshold judgment, and can dynamically adapt to the detection needs of explosion-proof valves and sealing devices of different sizes or structures, avoid misjudgment due to spatial differences, and improve the universality and accuracy of detection. When the first detection information reaches the balanced air pressure, the stop condition is triggered, and the data of the key stages of detection can be accurately intercepted, redundant monitoring can be avoided, the detection cycle can be shortened and energy consumption can be reduced, which is especially suitable for mass production scenarios.

[0049] In one possible implementation, in step S300, analyzing the detection information, the first detection information, and the second detection information to obtain a detection result includes: S340, obtaining a leakage status based on the first detection information and the detection information; wherein the leakage status includes a first status for reflecting that there is no leakage point in the explosion-proof valve and a second status for reflecting that there is a leakage point in the explosion-proof valve.

[0050] It can be understood that judging whether the air tightness of the explosion-proof valve is qualified is to detect whether there are leakage points and the leakage situation of the explosion-proof valve.

[0051] For example, the detection information can be used to obtain a change in the internal air pressure of the explosion-proof valve after the valve is opened to the detection opening in the detection information, which can indicate that the valve is leak-free. The leakage status can be determined by analyzing the change in the internal air pressure with the first detection information. The detection information can also be used to obtain a rate of change in the internal air pressure of the explosion-proof valve after the valve is opened to the detection opening in the detection information, which can indicate that the valve is leak-free. The rate of change in the internal air pressure can be used to determine the leakage status.

[0052] In a possible implementation, in step S340, obtaining a leakage status based on the first detection information and the detection information includes: S341, obtaining air pressure changes based on the detection information; wherein the air pressure changes are used to reflect the changes in the internal air pressure of the sealing device after the leak-free explosion-proof valve is opened according to the detection information.

[0053] It can be understood that the pressure change refers to the change in the gas pressure inside the sealing device over time during the air tightness test of the explosion-proof valve without leakage. Because the initial state of the explosion-proof valve is known (that is, the initial 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 (that is, the initial pressure is the normal pressure, and the volume is the size of the second space), then the formula can be used: pressure change = flow temperature constant × × × = Second space size ÷ gas molar mass. The flow temperature constant is related to the detection opening and gas temperature and can be manually entered. It can also be directly obtained from the constant database. The detection pressure difference is the difference between the air pressure in the second space and the normal air pressure.

[0054] S342: Perform real-time comparison based on the air pressure change and the first detection information to obtain leakage status.

[0055] It is understood that the first detection information is obtained in real time during the air tightness test of the explosion-proof valve. During the air tightness test of the explosion-proof valve, if a leak is found in the explosion-proof valve, the first detection information can be analyzed to obtain the air pressure change within the sealing device. The air pressure change within the sealing device is then compared with the air pressure change within the explosion-proof valve. If the two are the same, it can be indicated that there is no leak in the explosion-proof valve, that is, the leakage condition is reflected as the first condition. Otherwise, it indicates that a leak is found in the explosion-proof valve, that is, the leakage condition is reflected as the second condition.

[0056] For example, the change in internal air pressure of the explosion-proof valve during the air tightness test of the explosion-proof valve can be analyzed based on the first detection information obtained through real-time monitoring. The change in internal air pressure of the explosion-proof valve can be 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 a leakage status can be determined based on the comparison result. If the comparison result shows that the change in internal air pressure of the explosion-proof valve during the air tightness test of the explosion-proof valve is the same as the change in internal air pressure of the 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 analyzing the first detection information to determine the change in air pressure within the sealing device is to compare the air pressure level obtained at the time of acquisition in the first detection information with the air pressure level corresponding to the moment immediately before the acquisition time to determine the change in air pressure within the sealing device.

[0057] With this setting, the pressure change trend when there is no leakage is predicted based on the detection information (such as initial pressure, space size, etc.), and a dynamic benchmark is established to avoid misjudgment caused by equipment differences or environmental fluctuations in the traditional fixed threshold method, and improve detection adaptability. By comparing the theoretical pressure change with the actual detection data (such as the first detection information) in real time, tiny pressure deviations can be discovered immediately, significantly shortening the leak detection response time. The dynamic model combined with real-time data comparison can effectively distinguish normal pressure fluctuations from real leaks, reduce false alarms caused by single parameter threshold judgment, and improve the ability to identify micro-leaks.

[0058] S350: When the leakage condition is the first condition, determine that the detection result is qualified.

[0059] It can be understood that the leakage condition is divided into two states: "no leakage" and "leakage", corresponding to different processing paths. When it is determined that there is no leakage, a qualified conclusion is directly output, reducing redundant calculations and resource consumption.

[0060] With this setting, the first-level leakage judgment of the explosion-proof valve can be performed through air pressure changes, which can quickly and accurately identify potential leakage risks in the early stages, while reducing detection costs and enhancing the intelligence level of the system.

[0061] In a possible implementation, in step S300, analyzing the detection information, the first detection information, and the second detection information to obtain a detection result further includes: 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 a detection result.

[0062] It can be understood that when the leakage condition is the second condition, it means that the air pressure change in the sealing device is different from the air pressure change in the sealing device during the air tightness test of the explosion-proof valve without leakage, which can indicate that the exhaust valve is leaking. For example, the second detection information can be used to obtain the sound generated at the detection opening when the explosion-proof valve is undergoing airtightness testing. Based on the detection sound signal and the second detection information, the sound generated by the leakage point in the second detection information can be obtained. At the same time, based on the first detection information, the total amount of gas passing through all leakage points of the explosion-proof valve per unit time can be obtained. Finally, the total amount of gas passing through all leakage points of the explosion-proof valve per unit time and the sound generated by the leakage point in the second detection information are analyzed to obtain the detection result. The detection result can also be obtained through a learning model, that is, the detection information, the first detection information, and the second detection information are input into the learning model, and the learning model then outputs the corresponding detection result. The training process of the learning model can be performed by using the data obtained after data processing of the initial temperature change graph, the first temperature information, the second temperature information, and the corresponding detection results as the training data set of the learning model, and then inputting the training data set of the learning model into the learning model for training and learning, thereby finally obtaining the learning model.

[0063] With this setting, the leakage condition is divided into two states: "no leakage" and "leakage". In the case of leakage, the detection information (air pressure, opening), the first detection information (sealing device air pressure) and the second detection information (sound signal) are combined for comprehensive analysis. Multimodal data cross-validation is used to effectively distinguish between real leaks and environmental interference (such as temperature fluctuations and mechanical vibrations), significantly reducing the misjudgment rate and improving diagnostic reliability. Through the hierarchical judgment mechanism, lengthy in-depth analysis of all detection samples is avoided, and additional computing resources are only invested 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.

[0064] 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 a detection result, including: S361, obtaining a 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 subjected to air tightness detection.

[0065] It can be understood that because the opening corresponding to the detection opening is larger than the opening area of the explosion-proof valve's leak point, the amplitude of the sound generated at the opening corresponding to the detection opening is the maximum value in the second detection information. In other words, the sound signal with the largest amplitude in the second detection information can be obtained from the second detection information as the detection sound signal.

[0066] S362, obtaining at least one leakage point sound based on the detection sound signal and the second detection information; wherein the leakage point sound is used to reflect the sound generated by the leakage point in the second detection information.

[0067] It is understood that the leakage point sound can be obtained by analyzing the significant peaks that appear in the second detection information within the time range of obtaining the second detection information, and then analyzing the frequency change of the sound signal corresponding to the detection sound signal, and then filtering the significant peaks that appear in the second detection information by the frequency change of the sound signal corresponding to the detection sound signal. Among them, the screening process can use the frequency change of the detection sound signal as a screening condition, and filter out the frequency changes corresponding to multiple significant peaks in the second detection information that have similar trends to the frequency changes of the detection sound signal, and use the filtered sound signals as the leakage point sound. By analyzing the frequency change of the detection sound signal, the sound signal corresponding to the significant peak in the frequency change corresponding to the multiple significant peaks that changes synchronously with the frequency change of the analyzed detection sound signal is used as the leakage point sound.

[0068] In a possible implementation, in step S362, obtaining at least one leakage point sound based on the detection sound signal and the second detection information includes: S3621, obtaining a plurality of sound intensity peaks from the second detection information; wherein the sound intensity peaks are used to reflect significant peaks of the second detection information that appear within a time range of obtaining the second detection information.

[0069] It can be understood that during the air tightness test of the explosion-proof valve, because there is a certain air pressure difference between the internal space of the explosion-proof valve and the internal space of the air tightness detection device, during the test process of actively reducing the pressure of the explosion-proof valve to detect the air tightness, sound will be generated at the leakage point, which will be reflected in the second detection information obtained in real time as an obvious sound peak.

[0070] S3622: Obtain a detection frequency drop based on the detection sound signal; wherein the detection frequency drop is used to reflect the frequency change of the detection sound signal.

[0071] It can be understood that the detection frequency drop is the frequency change corresponding to the detection sound signal. The detection sound signal obtained in real time in the second detection information can be processed by Fourier transform, and the frequency values corresponding to the detection sound signal at different times can be extracted. Then, the frequency values at different times can be processed in a chronological order to finally obtain the detection frequency drop.

[0072] S3623: Based on the multiple sound intensity peaks, obtain multiple frequency drops corresponding to the multiple sound intensity peaks; wherein the frequency drops are used to reflect frequency changes corresponding to the sound intensity peaks.

[0073] It can be understood that the process of obtaining the multiple frequency drops corresponding to the multiple sound intensity peaks can be obtained by obtaining the detection frequency drops in step S3622, which will not be repeated here.

[0074] S3624: Determine at least one leakage point sound from the multiple sound intensity peaks based on the multiple frequency drops and the detection frequency drop.

[0075] It can be understood that in the process of air tightness detection 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, and the frequency change of the sound generated at the artificial active opening where the detection frequency is reduced can be regarded as a larger "leak point", that is, the sound frequency change corresponding to the artificial active opening 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 a leak point.

[0076] For example, by comparing the similarities between multiple frequency drops and the detection frequency drop, the sound corresponding to the frequency drop with a similarity greater than a preset threshold is taken as the sound generated by the leakage point.

[0077] This setup simultaneously extracts sound intensity peaks (reflecting the energy characteristics of leak signals) and frequency drops (reflecting the frequency domain variations of leak signals), 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 true leak signals from background noise interference (such as mechanical vibration or ambient noise).

[0078] S363: Obtain a total leakage amount based on the first detection information; wherein the total leakage amount is used to reflect the total amount of gas passing through all leakage points of the explosion-proof valve within a unit time.

[0079] It is understood that the first detection pressure difference can be obtained from the first detection information, and then processed by combining the first detection pressure difference with the second space size to ultimately determine the total leakage amount. The first detection pressure difference is the difference between the final air pressure and the initial air pressure in the first detection information. The final air pressure is the air pressure value corresponding to the last time period in the time period of the first detection information obtained in real time, and the initial air pressure is the air pressure value corresponding to the first time period in the time period of the first detection information obtained in real time. 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 using a temperature sensor.

[0080] S364: Obtain a detection result based on the sound of at least one leakage point and the total leakage amount.

[0081] It's understandable that when gas leaks, the internal pressure energy is converted into kinetic energy, with some energy released as sound waves. The larger the leak, the more gas energy passes through the leak per unit time, and the greater the sound energy generated.

[0082] For example, the total leakage can be compared with the maximum total leakage allowed for the explosion-proof valve as a whole. When the total leakage is less than the maximum total leakage allowed for the explosion-proof valve as a whole, the sound of the leak point and the total leakage are analyzed to obtain the gas leakage per unit time reflecting the single leak point. Finally, the gas leakage per unit time reflecting the single leak point is compared with the maximum gas leakage allowed for the single leak point in the explosion-proof valve to obtain the detection result. The detection result can also be obtained through an analysis model, that is, the sound of the leak point and the total leakage are input into the analysis model, and the analysis model then outputs the corresponding detection result. The training process of the analysis model can be performed by using the data obtained after data processing of the sound of the leak point, the total leakage and the corresponding detection results as the training data set of the analysis model, and then inputting the training data set of the analysis model into the analysis model for training and learning, and finally obtaining the analysis model.

[0083] This setup, through the deep integration of acoustic signals and airtightness test data, establishes a comprehensive detection system that combines leak point identification, leak quantity quantification, and intelligent judgment. This improves the accuracy and credibility of test results. Leak points can be precisely located by detecting acoustic signals at the opening (such as the sound of the leak point), while the leak scale can be quantified based on air pressure data (such as the total leakage volume), overcoming the limitations of single-parameter detection. This dual verification significantly reduces false alarm rates.

[0084] In one possible implementation, in step S364, obtaining a detection result based on the sound of at least one leakage point and the total leakage amount includes: S3641, when the total leakage is less than the first leakage threshold, at least one leakage 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 total leakage allowed by the explosion-proof valve as a whole, and the leakage is used to reflect the gas leakage of a single leakage point per unit time.

[0085] It is understood 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, but the leakage of a single leakage point of the explosion-proof valve may not meet the airtightness requirement. That is, the single leakage needs to be analyzed.

[0086] For example, the sound intensity corresponding to the leak point can be extracted, and then the sound intensity analysis can be used to obtain the result of energy superposition of multiple sound intensities. Based on this result and the sound intensity, the contribution degree corresponding to the sound intensity can be obtained. The contribution degree and the total leakage volume can then be analyzed to obtain the leakage volume corresponding to each leak point. In this process, if there is only one leak point, the contribution degree of the sound energy corresponding to the leak point is 100%, that is, the leakage of the single leak point accounts for the total leakage volume. If there are multiple leak points, the total leakage volume can be distributed to the corresponding multiple leak points based on the contribution degree, thus obtaining the leakage volumes corresponding to the multiple leak points.

[0087] In one possible implementation, in step S3641, when the total leakage amount is less than a first leakage threshold, obtaining at least one leakage amount based on the sound of at least one leakage point and the total leakage amount includes: S36411. Based on at least one leakage point sound, extract a sound intensity feature corresponding to the at least one leakage point sound; wherein the sound intensity feature is used to reflect the amplitude corresponding to the leakage point sound.

[0088] For example, the maximum absolute value of the sound signal at each leakage point may be obtained by traversing the sound signal at each leakage point, and then the maximum absolute value may be used as the sound intensity feature corresponding to the sound at the leakage point.

[0089] S36412: Calculate the total sound intensity based on the sound intensity feature. The total sound intensity is used to reflect the result of energy superposition of multiple sound intensity features.

[0090] For example, each sound intensity feature may be converted into an energy flux, and then the sum of the converted fluxes of all sound intensity features may be calculated as the total sound intensity.

[0091] S36413, based on the sound intensity characteristics and the total sound intensity, obtain a 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 corresponding leakage point sound to the total sound intensity.

[0092] It can be understood that leakage ratio = energy intensity corresponding to the sound intensity feature ÷ total sound intensity.

[0093] S36414: Based on the total leakage amount and the leakage ratio, obtain the leakage amount corresponding to at least one leakage point.

[0094] It can be understood that leakage volume = total leakage volume × leakage ratio. One leakage point corresponds to one leakage ratio, and one leakage ratio corresponds to one leakage volume.

[0095] With this setup, a judgment and diagnosis system from "sound feature extraction" to "leakage decoupling" is constructed through energy distribution analysis of acoustic signals and dynamic allocation of leakage volume. This significantly improves detection accuracy and anti-interference capabilities in multi-leak point scenarios, while the correlation analysis between leakage ratio and total leakage volume enables quantitative classification and priority response of leakage risks. By extracting the amplitude characteristics of the sound at each leakage point (such as sound intensity) and calculating its contribution to the total sound intensity (leakage ratio), independent energy decoupling of multiple leakage points is achieved. Through the correlation analysis of total leakage volume and leakage ratio, the total macroscopic leakage volume (such as the total amount of gas per unit time) is allocated to specific leakage points, achieving point-by-point quantification of leakage volume.

[0096] S3642: Compare at least one leakage amount with a second leakage threshold to obtain a comparison result; wherein the second leakage threshold is used to reflect the maximum gas leakage amount allowed by a single leakage point in the explosion-proof valve.

[0097] It is understood that the second leakage threshold can be manually input or directly obtained from a threshold database. Comparison result = leakage amount - second leakage threshold.

[0098] S3643: When at least one leakage amount in the comparison result is greater than the second leakage threshold, the test result is determined to be unqualified; when all leakage amounts in the comparison result are less than the second leakage threshold, the test result is determined to be qualified.

[0099] It can be understood that when the leakage amount corresponding to at least one leakage point is greater than the second leakage threshold, it can be said that the leakage point does not meet the maximum gas leakage amount allowed by a single leakage point, which indicates that the leakage point meets the qualification requirements, that is, the output of the air tightness test result of the explosion-proof valve is unqualified. Conversely, when the leakage amounts corresponding to all the leakage points obtained are less than the second leakage threshold, it can be said that the leakage points of the explosion-proof valve all meet the maximum gas leakage amount allowed by a single leakage point, that is, the output of the air tightness test result of the explosion-proof valve is qualified.

[0100] This setup achieves tiered control of leakage risks by distinguishing between total leakage (first leakage threshold) and leakage at a single leak point (second leakage threshold). 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 localized leakage (such as welding defects or concentrated porosity), avoiding the overall risk caused by the accumulation of multiple micro-leaks. Combining sound signals to locate leak points (such as acoustic imaging technology in the knowledge base) with air pressure data to quantify leaks (such as the efficient analysis capabilities of airtightness testing equipment in the knowledge base), a closed "locate-quantify-determine" loop is formed. The dynamic correlation between the amplitude characteristics of the sound signal and the total leakage volume can accurately identify the contribution of leak points (such as the energy decoupling strategy in the knowledge base), avoiding the limitations of single-parameter detection. This improves the accuracy and credibility of the test results.

[0101] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean 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.

[0102] Corresponding to the explosion-proof valve air tightness detection method described in the above embodiment, the embodiment of the present application also provides an explosion-proof valve air tightness detection system, and each module of the explosion-proof valve air tightness detection system can implement each step of the explosion-proof valve air tightness detection method. Figure 3 A structural block diagram of an explosion-proof valve air tightness detection system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0103] Reference Figure 3 , explosion-proof valve air tightness detection system includes: The acquisition module is used to acquire detection information; wherein the detection information includes a detection air pressure for reflecting the size of the air pressure detected on the explosion-proof valve and a detection opening for reflecting the opening of the air valve detected on the explosion-proof valve.

[0104] The detection acquisition module is used to perform air tightness detection on the explosion-proof valve based on the detection information. The first detection device obtains the first detection information in real time, and the second detection device obtains the second detection information in real time; wherein, 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.

[0105] 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 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 of the explosion-proof valve.

[0106] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0107] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by 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 embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0108] An embodiment of the present application also provides an airtightness detection device, which includes a sealing device, a first detection device, a second detection device, and a control device. The sealing device, the first detection device, the second detection 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 the present application. Figure 4 As shown, the control device 4 of this embodiment includes: at least one processor 40 ( Figure 4 Only one is shown), at least one memory 41 ( Figure 4Only one is shown in the figure) and a computer program 42 stored in the at least one memory 41 and executable on the at least one processor 40. When the processor 40 executes the computer program 42, the control device 4 implements the steps of any of the above-mentioned method embodiments, or implements the functions of the modules / units in the above-mentioned system embodiments.

[0109] 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 implement the present application. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the control device 4.

[0110] The control device 4 can be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The control device 4 can include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that Figure 4 This is merely an example of the control device 4 and does not constitute a limitation on the control device 4. The control device 4 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0111] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or any conventional processor.

[0112] In some embodiments, the memory 41 may be an internal storage unit of the control device 4, such as a hard drive or memory of the control device 4. In other embodiments, the memory 41 may also be an external storage device of the control device 4, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. equipped on the control device 4. Furthermore, the memory 41 may include both the internal storage unit of the control device 4 and an external storage device. The memory 41 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 41 may also be used to temporarily store data that has been output or is about to be output.

[0113] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0114] An embodiment of the present application provides a computer program product. When the computer program product is run on an airtightness detection device, the airtightness detection device implements the steps in any of the above method embodiments.

[0115] 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, the present application can implement all or part of the processes in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can at least include: 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 telecommunications signal, and a software distribution medium. For example, a USB flash drive, a mobile hard drive, a magnetic disk, or an optical disk.

[0116] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0117] Those skilled in the art will appreciate that the units and algorithm steps of each example 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 performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel 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.

[0118] In the embodiments provided in the present application, it should be understood that the disclosed explosion-proof valve air tightness detection system and air tightness detection device can be implemented in other ways. For example, the above-described explosion-proof valve air tightness detection system embodiment is merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0119] The units described as separate components may or may not be physically separate, and 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 these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0120] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for detecting air tightness of explosion-proof valves, characterized in that: Applied to an airtightness detection device, the method comprises: Acquire detection information; wherein the detection information includes a detection pressure for reflecting the size of the air pressure for detecting the explosion-proof valve and a detection opening for reflecting the valve opening for detecting the explosion-proof valve; Based on the detection information, the explosion-proof valve is tested for air tightness, wherein the first detection device obtains first detection information in real time, and the second detection device obtains second detection information in real time; wherein 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; When the second detection information meets the preset analysis conditions, analysis is performed based on the detection information, the first detection information and the second detection information to obtain a detection result; wherein, the preset analysis conditions are obtained based on the detection information, and the detection result is used to reflect the qualification of the explosion-proof valve.

2. The explosion-proof valve air tightness detection method according to claim 1, characterized in that: When the first detection information meets a preset analysis condition, the method includes: Acquire 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; Calculating a balanced air pressure based on the detected air pressure, the first space size, and the second space size in the detection information; wherein the balanced air pressure is used to reflect the air pressure size after the first space size and the second space size reach equilibrium; When the first detection information reaches the equilibrium air pressure, it is determined that the preset analysis condition is 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 explosion-proof valve air tightness detection method according to claim 1, characterized in that: The analyzing the detection information, the first detection information, and the second detection information to obtain a 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 for reflecting that there is no leakage point in the explosion-proof valve and a second status for reflecting that there is a leakage point in the explosion-proof valve; When the leakage condition is the first condition, the detection result is determined to be qualified.

4. The explosion-proof valve air tightness detection method according to claim 3, characterized in that: The analyzing the detection information, the first detection information, and the second detection information to obtain a detection result further includes: When the leakage condition is the second condition, an analysis is performed based on the detection information, the first detection information, and the second detection information to obtain a detection result.

5. The explosion-proof valve air tightness detection method according to claim 3, characterized in that: The obtaining of the leakage status based on the first detection information and the detection information includes: Obtaining air pressure changes based on the detection information; wherein the air pressure changes are used to reflect changes in the internal air pressure of the sealing device after the explosion-proof valve without leakage is opened according to the detection information; The leakage status is obtained based on a real-time comparison between the air pressure change and the first detection information.

6. The explosion-proof valve air tightness detection method according to claim 4, characterized in that: When the leakage condition is the second condition, analyzing based on the detection information, the first detection information, and the second detection information to obtain a detection result includes: Acquiring a 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 subjected to airtightness detection; Based on the detection sound signal and the second detection information, at least one leakage point sound is obtained; wherein the leakage point sound is used to reflect the sound generated by the leakage point in the second detection information; Based on the first detection information, a total leakage volume is obtained; wherein the total leakage volume is used to reflect the total amount of gas passing through all leakage points of the explosion-proof valve within a unit time; A detection result is obtained based on the sound of at least one leakage point and the total leakage amount.

7. The explosion-proof valve air tightness detection method according to claim 6, characterized in that: The obtaining of at least one leakage point sound based on the detection sound signal and the second detection information includes: Acquire multiple sound intensity peaks from the second detection information; wherein the sound intensity peaks are used to reflect significant peaks of the second detection information that appear within a time range of acquiring the second detection information; Based on the detection sound signal, a detection frequency drop is obtained; wherein the detection frequency drop is used to reflect the frequency change of the detection sound signal; Based on the plurality of sound intensity peaks, a plurality of frequency drops corresponding to the plurality of sound intensity peaks are obtained; wherein the frequency drops are used to reflect frequency changes corresponding to the sound intensity peaks; At least one leakage point sound is determined from a plurality of sound intensity peaks based on the plurality of frequency drops and the detected frequency drops.

8. The explosion-proof valve air tightness detection method according to claim 6, characterized in that: The obtaining of a detection result based on the sound of at least one leakage point and the total leakage amount includes: When the total leakage amount is less than a first leakage threshold, at least one leakage amount is obtained based on the sound of at least one leakage point and the total leakage amount; wherein the first leakage threshold is used to reflect the maximum total leakage amount allowed by 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 based on comparing at least one of the leakage amounts with a second leakage threshold, wherein the second leakage threshold is used to reflect the maximum gas leakage amount allowed by 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 of the leakage amounts in the comparison results are less than the second leakage threshold, the test result is determined to be qualified.

9. The explosion-proof valve air tightness detection method according to claim 8, characterized in that: The obtaining of at least one leakage amount based on the sound of at least one leakage point and the total leakage amount comprises: Based on at least one of the leakage point sounds, extracting a sound intensity feature corresponding to at least one of the leakage point sounds; wherein the sound intensity feature is used to reflect the amplitude corresponding to the leakage point sound; Calculating a total sound intensity based on the sound intensity feature; wherein the total sound intensity is used to reflect the result of energy superposition of multiple sound intensity features; Based on the sound intensity characteristics and the total sound intensity, obtaining a leakage ratio corresponding to at least one of the leakage point sounds; 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, a leakage amount corresponding to at least one of the leakage points is obtained.

10. An airtightness detection device, characterized in that: The method comprises a sealing device, a first detection device, a second detection device and a control device, wherein the sealing device, the first detection device and the second detection device are electrically connected to the control device, and the control device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.

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