Screening method and device of air tightness detection equipment and computer equipment

Abstract

The invention relates to a method and a device for screening air tightness detection equipment, a computer readable storage medium and computer equipment. The method comprises the following steps: 1) taking the initial pressure P0 of an air source, the volume V of the air source, the diameter Dp of a pipeline and the length Lp of the pipeline as variables and integrating the variables into a list [P0, V, Dp and Lp]; 2) each variable in the list is assigned in the value selection range of each variable to form an initial population, the initial population comprises multiple groups of data groups after the variables in the list are assigned, and the initial population is taken as a first population; 3) according to each data group, the specification parameter and the initial pressure of the to-be-detected assembly, and the target pressure and / or the target mass flow rate of the air tightness detection system, obtaining the detection duration corresponding to each data group in the first population; and 4) when the detection duration corresponding to any data set in the first population is less than or equal to a preset duration, outputting the detection duration as an optimized duration and a data set corresponding to the optimized duration as an optimized data set.

Description

Technical Field

[0001] The present invention relates to the technical field of air tightness detection, and in particular to a screening method, device and computer equipment for air tightness detection equipment. Background Art

[0002] Before a product leaves the factory, it is often tested for air tightness to ensure that the product has a long service life and better safety. For example, batteries are tested for air tightness before leaving the factory, which can effectively avoid problems such as battery short circuit and leakage, and ensure the service life and safety performance of the battery. The air tightness test of the product is often completed by air tightness testing equipment.

[0003] The air tightness detection equipment includes an air source and a connecting device, and the connecting device includes a pipeline, a valve, and a detection component. The air source is connected to the component to be tested (such as a battery) through a pipeline, and the valve and the detection component are arranged on the pipeline. After the air tightness detection equipment is connected to the component to be tested, an air tightness detection system is formed. The initial pressure of the air source is greater than the initial pressure of the component to be tested, the valve is opened, and the gas in the air source continuously flows to the component to be tested, and the detection component detects the mass flow in the system or the pressure in the system. The time difference from the initial moment to the moment when the mass flow in the air tightness detection system reaches the target mass flow and / or the pressure in the air tightness detection system reaches the target pressure is recorded as the detection time. Under the same conditions, the shorter the detection time, the more serious the leakage of the component to be tested. At the same time, in batch testing, the shorter the detection time of a single component to be tested, the higher the detection efficiency, and the length of the detection time is closely related to the air tightness detection equipment used.

[0004] In engineering projects, it is often required to shorten the detection time as much as possible in order to improve the detection rhythm. In order to screen out airtightness detection equipment with excellent performance, it is necessary to purchase airtightness detection equipment for on-site testing. Each set of experiments requires the purchase of a set of airtightness detection equipment, resulting in an increase in equipment and labor costs. Summary of the invention

[0005] Based on this, it is necessary to provide a screening method, device, computer-readable storage medium and computer equipment for airtightness testing equipment that can reduce equipment and labor costs in order to screen out airtightness testing equipment with excellent performance in traditional technologies, in order to address the problem of high equipment and labor costs.

[0006] A method for screening airtightness detection equipment, comprising:

[0007] 1) Set the initial pressure P0 of the gas source, the volume V of the gas source, and the diameter D of the pipeline p and the length of the pipeline L p as variables and integrated into a list [P0, V, D p , L p];

[0008] 2) assigning values ​​to each variable in the list within the selected value range of each variable to form an initial population, wherein the initial population includes multiple data groups formed by assigning multiple sets of values ​​to the variables in the list, and the initial population is used as the first population;

[0009] 3) obtaining the detection time corresponding to each data group in the first population according to each data group, specification parameters and initial pressure of the component to be tested, target pressure and / or target mass flow of the airtightness detection system;

[0010] 4) When the detection duration corresponding to any of the data groups in the first population is less than or equal to a preset duration, the detection duration is output as an optimized duration and the data group corresponding to the optimized duration is output as an optimized data group.

[0011] In one embodiment, it also includes:

[0012] 5) When the detection durations corresponding to all the data groups in the first population are greater than the preset duration, the data group with the shorter detection duration in the first population is selected as the iteration basis for crossover and mutation to generate an iterative population, and the iterative population is used as the first population, and steps 3)-4) are returned to be executed;

[0013] The iterative population and the initial population include the same number of data groups.

[0014] In one embodiment, the step 5) comprises:

[0015] 51) before returning to execute steps 3)-4), obtaining the number of iterations of the first population;

[0016] 52) when the number of iterations reaches a preset number, outputting the data group with the shortest detection time among all the first populations whose number is less than the number of iterations as the optimized data group and the detection time as the optimized time;

[0017] 53) When the number of iterations does not reach the preset number, return to execute steps 3)-4).

[0018] In one embodiment, the step 5) comprises:

[0019] The data group with the shorter detection time in the first population is selected as the iteration basis, and each data in each data group mutates based on its own mutation probability to generate the iterative population.

[0020] In one embodiment, step 2) comprises:

[0021] Assign values ​​to each variable within the selected value range of each variable and according to the variable precision and generate the initial population;

[0022] The variable precision is the difference between two adjacent values ​​assigned to the variable.

[0023] In one embodiment, step 3) comprises:

[0024] 31) taking the initial pressure of the gas source in the data group as the first current pressure at the current moment, and taking the initial pressure of the component to be tested as the second current pressure;

[0025] 32) determining a first pressure loss of the gas in the connection device at the current moment according to the data set and the randomly given first mass flow rate;

[0026] 33) determining a first pressure error corresponding to the first mass flow rate according to a difference between the first current pressure and the first pressure loss and the second current pressure;

[0027] 34) when the first pressure error is less than or equal to a preset error threshold, determining the first mass flow rate to be the current mass flow rate corresponding to the current moment;

[0028] 35) Determine the first iteration pressure of the gas source and the second iteration pressure of the component to be tested at the iteration moment according to the current mass flow rate, time interval, volume of the gas source, specification parameters of the component to be tested, molar mass of the gas and temperature; take the iteration moment as the current moment, the first iteration pressure and the second iteration pressure as the first current pressure and the second current pressure respectively, return to execute steps 32)-34) until the current mass flow rate reaches the target mass flow rate and / or the first current pressure reaches the first target pressure and / or the second current pressure reaches the second target pressure, and record the corresponding difference between the current moment and the initial moment as the detection duration corresponding to the data group.

[0029] In one embodiment, the connection device includes the pipeline and a loss component, and the loss component includes a detection component;

[0030] The step 32) comprises:

[0031] Determine the pressure loss of the gas in the pipeline at the current moment according to the first mass flow rate and the specification parameters of the pipeline; determine the pressure loss of the gas in the loss component at the current moment according to the first mass flow rate;

[0032] The first pressure loss is the sum of the pressure loss of the gas in the pipeline and the pressure loss of the gas in the loss component.

[0033] In one embodiment, the step 34) further includes:

[0034] 341) when the first pressure error is greater than the preset error threshold, obtaining a second pressure loss of the gas in the connecting device according to the specification parameters of the connecting device and a randomly given second mass flow rate;

[0035] 342) Determine a second pressure error corresponding to the second mass flow rate based on the difference between the first current pressure and the second pressure loss and the second current pressure; when the second pressure error is less than or equal to the preset error threshold, determine that the second mass flow rate is the current mass flow rate corresponding to the current moment.

[0036] In one embodiment, the step 342) includes:

[0037] 3421) when the second pressure error is greater than the preset error threshold, iteratively forming an iterative mass flow rate according to the first mass flow rate, the second mass flow rate, the first pressure error and the second pressure error;

[0038] 3422) According to the iterative mass flow and the specification parameters of the connecting device, the iterative pressure loss of the gas in the connecting device is obtained; according to the difference between the first current pressure and the iterative pressure loss and the second current pressure, the iterative pressure error corresponding to the iterative mass flow is determined; when the iterative pressure error is less than or equal to the preset error threshold, the iterative mass flow is determined to be the current mass flow corresponding to the current moment; when the iterative pressure error is greater than the preset error threshold, the iterative mass flow is used as the first mass flow, the iterative pressure error is used as the first pressure error, the second mass flow and the second pressure error remain unchanged, and the process returns to execute step 3421).

[0039] A screening device for air tightness detection equipment, comprising:

[0040] The integration module is used to convert the initial pressure P0 of the gas source, the volume V of the gas source, and the diameter D of the pipeline p and the length of the pipeline L p as variables and integrated into a list [P0, V, D p , L p ];

[0041] A generating module, used for assigning values ​​to each variable in the list within the selected value range of each variable to form an initial population, wherein the initial population includes a plurality of data groups after assigning values ​​to the variables in the list, and the initial population is used as the first population;

[0042] A processing module, used for obtaining the detection time corresponding to each group of the data in the first population according to each group of the data, the specification parameters and initial pressure of the component to be tested, and the target pressure and / or target mass flow of the airtightness detection system;

[0043] The output module is used to output the detection duration as the optimized duration and the data group corresponding to the optimized duration as the optimized data group when the detection duration corresponding to any data group in the first population is less than or equal to a preset duration.

[0044] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned screening method for airtightness detection equipment.

[0045] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned screening method for airtightness detection equipment when executing the computer program.

[0046] The above-mentioned screening method, device, computer-readable storage medium and computer equipment for airtightness testing equipment, without the need to purchase airtightness testing equipment and the airtightness testing equipment does not need to be connected to the component to be tested for actual (on-site) experiments, by obtaining the detection time corresponding to each data group in the first population, and comparing and analyzing each detection time with the preset time, when the detection time is less than or equal to the preset time, outputting the detection time as the optimized time and the data group corresponding to the optimized time as the optimized data group can screen out airtightness testing equipment with better performance, thereby reducing labor costs and equipment costs and improving the screening efficiency of selecting airtightness testing equipment with excellent performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a structural schematic diagram of an airtightness testing device connected to a component to be tested;

[0048] Figure 2 A flow chart of a method for screening airtightness detection equipment provided in one embodiment of the present application;

[0049] Figure 3 A curve chart showing the change in fitness value and number of iterations obtained by using the screening method for airtightness testing equipment provided in the application;

[0050] Figure 4 A graph showing the pressure and time variation of a bipolar plate obtained by testing the bipolar plate using an airtightness testing device provided in the prior art;

[0051] Figure 5 The mass flow rate and time variation curve obtained by testing the bipolar plate using the air tightness detection equipment provided in the prior art;

[0052] Figure 6 A pressure and time variation curve of a bipolar plate obtained by testing a bipolar plate with an airtightness detection device obtained by using the screening method for airtightness detection devices provided in the present application;

[0053] Figure 7 The mass flow rate and time variation curve obtained by testing the bipolar plate with the airtightness detection equipment obtained by the screening method of the airtightness detection equipment provided by the present application is shown in FIG.

[0054] Description of reference numerals:

[0055] 10. Gas source; 20. Connecting device; 21. Pipeline; 22. Detection component; 23. Valve; 30. Component to be tested. DETAILED DESCRIPTION

[0056] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0057] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0058] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0059] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0060] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0061] It should be noted that when an element is referred to as being "fixed to" or "disposed on" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used herein are for illustrative purposes only and are not intended to be the only implementation method.

[0062] An embodiment of the present application provides a method for screening airtightness detection equipment, which is used to screen airtightness detection equipment to obtain airtightness detection equipment with a shorter detection time, thereby improving the efficiency of airtightness detection. Figure 1The air tightness detection equipment includes a gas source 10 and a connecting device 20. When the component to be tested 30 is tested, the connecting device 20 is arranged between the gas source 10 and the component to be tested 30. The gas source 10 is used to store and provide high-pressure gas for detection, and the gas in the gas source 10 can flow to the component to be tested 30 through the connecting device 20. Optionally, the connecting device 20 includes a pipeline 21 and a loss component, and the loss component includes a detection component 22. The pipeline 21 is connected between the gas source 10 and the component to be tested 30, and the detection component 22 is arranged on the pipeline 21. The gas in the gas source 10 can flow to the component to be tested 30 through the pipeline 21, and the detection component 22 is used to detect the air tightness of the component to be tested 30. Specifically, a valve 23 is arranged on the pipeline 21 to control the on-off of the pipeline 21, thereby controlling whether the gas source 10 is connected to the component to be tested 30. Since there is leakage in the component under test 30 , the initial pressure in the component under test 30 is lower than the initial pressure in the gas source 10 . When the valve 23 is opened, the gas in the gas source 10 can flow into the component under test 30 through the pipeline 21 under the action of the pressure difference.

[0063] Optionally, the component to be tested 30 is a bipolar plate of a fuel cell. The function of the bipolar plate is to provide a gas flow channel to prevent the mixing of oxygen and hydrogen in the gas chamber, and to establish a current path between the positive and negative electrodes. Its performance directly affects the performance of the fuel cell. The air tightness of the bipolar plate is one of the important indicators to measure its performance, so it is very important to detect the air tightness of the bipolar plate. It is conceivable that in some other embodiments, the type of the component to be tested 30 is not limited. At the same time, in addition to the pipeline 21 and the detection component 22, the connecting device 20 may also include other pressure loss parts, which are not limited here.

[0064] It should be noted here that the pressure of the gas source 10 (the initial pressure of the gas source 20) is mostly industry standards or specified by the customer. After the airtightness detection equipment is connected to the component to be tested 30, an airtightness detection system is formed. The detection component 22 generally detects the pressure or mass flow of the airtightness detection system to obtain the airtightness of the component to be tested 30. During the detection, the mass flow of the airtightness detection system decreases with the increase of time. The time difference from the initial moment to the moment when the mass flow of the system reaches the target mass flow, the pressure of the gas source 10 reaches the first target pressure, or the pressure of the component to be tested 30 reaches the second target pressure is the detection duration. The shorter the detection duration, the more serious the leakage is and the worse the airtightness of the component to be tested 30 is.

[0065] It should also be noted that, generally, batch testing of the components to be tested 30 is performed using airtightness testing equipment. When different airtightness testing equipment is used to test the same component to be tested 30, the time required to test the component to be tested 30 is not the same due to the different performance of the airtightness testing equipment. The shorter the testing time required to test a single component to be tested 30, the better the performance of the airtightness testing equipment and the higher the testing efficiency. In traditional technology, in order to screen out airtightness testing equipment with excellent performance, it is necessary to purchase airtightness testing equipment for on-site testing. Each set of experiments requires the purchase of a set of airtightness testing equipment, which increases equipment and labor costs.

[0066] To solve the above problems, see Figure 2 An embodiment of the present application provides a method for screening airtightness detection equipment, comprising the steps of:

[0067] 1) The initial pressure P0 of the gas source 10, the volume V of the gas source 10, and the diameter D of the pipeline 21 are p and the length L of the pipeline 21 p as variables and integrated into a list [P0, V, D p , L p ];

[0068] The gas source 10 is used to store and provide high-pressure gas for testing. Specifically, the gas stored therein may be air, oxygen, etc. The initial pressure P0 of the gas source 10 is the pressure of the gas source 10 when it is not used to test the component to be tested 30, and is also the pressure in the gas source 10 before the test begins, which is usually an industry standard or specified by the customer.

[0069] 2) assigning values ​​to each variable in the list within the selected value range of each variable to form an initial population, the initial population including multiple data groups formed by assigning multiple sets of values ​​to the variables in the list, and the initial population is used as the first population;

[0070] Each variable in the list has a minimum allowable value and a maximum allowable value, and the value assigned to each variable in the list is selected between its minimum allowable value and its maximum allowable value. p and L p The minimum allowable values ​​are 2, 0.001, 0.001, 0.5, and the maximum allowable values ​​are 30, 0.06, 0.04, 8. P0 is in bar and V is in m. 3 , D p Unit: m, L p The unit is m. It should be understood that in some other embodiments, the minimum allowable value and the maximum allowable value of each variable are set as needed and are not limited here.

[0071] After assigning a set of values ​​to each variable in the list, a set of data groups can be formed. After assigning multiple sets of values ​​to each variable in the list, multiple sets of data groups can be formed. It should be noted that each data group in the initial population is different. Optionally, one value (data) or multiple values ​​can be set to be unequal in each data group. For example, in some specific embodiments, P0, V, D p and L p In some other specific implementations, P0, V, D are set in each data group. p and L p It should also be noted that the data group is the parameter setting of the airtightness detection device, and each data group corresponds to an airtightness detection device.

[0072] 3) Obtaining the detection time corresponding to each data group in the first population according to each data group, the specification parameters and initial pressure of the component to be tested 30, the target pressure and / or the target mass flow of the airtightness detection system;

[0073] Since the data set includes the initial pressure P0 of the gas source 10, the volume V of the gas source 10, the diameter D of the pipeline 21 p and the length L of the pipeline 21 p Parameters such as. According to the parameters in the data group, the specification parameters of the component to be tested 30, the initial pressure, the target pressure and / or the target mass flow rate, the detection time corresponding to each data group in the first population can be obtained. Among them, the target pressure is the pressure reached in the air tightness detection system set manually. Optionally, the target pressure includes a first target pressure and a second target pressure. The first target pressure is the pressure reached in the air source 10 set manually, and the second target pressure is the pressure reached in the component to be tested 30 set manually. The target mass flow rate is the mass flow rate reached in the air tightness detection system set manually.

[0074] 4) When the detection duration corresponding to any data group in the first population is less than or equal to the preset duration, the detection duration is output as the optimized duration and the data group corresponding to the optimized duration is output as the optimized data group.

[0075] The preset time is a manually set value. When the detection time corresponding to a data group is less than or equal to the preset time, it is considered that the time required for the airtightness detection device corresponding to the data group to detect the component to be tested 30 is short, the airtightness detection device has excellent performance, and the use of the airtightness detection device can improve production efficiency.

[0076] The screening method for airtightness testing equipment provided in the embodiment of the present application does not need to purchase airtightness testing equipment and the airtightness testing equipment does not need to be connected to the component to be tested 30 for actual (on-site) experiments. By obtaining the detection time corresponding to each data group in the first population, each detection time is compared and analyzed with the preset time. When the detection time is less than or equal to the preset time, the detection time is output as the optimized time and the data group corresponding to the optimized time is output as the optimized data group, so that airtightness testing equipment with better performance can be screened out, thereby reducing labor costs and equipment costs and improving the screening efficiency of selecting airtightness testing equipment with excellent performance.

[0077] In some embodiments, step 2) includes:

[0078] Assign values ​​to each variable within the selected value range of each variable and according to the variable precision and generate the initial population;

[0079] where the precision of a variable is the difference between two consecutive values ​​assigned to the variable.

[0080] The variable precision of each variable is set as needed. For example, in some embodiments, P0, V, D p and L p The variable precision of each variable is 0.1, 0.001, 0.001, and 0.1 respectively. When the variable precision of P0 is 0.1, the difference between two adjacent values ​​assigned to P0 is 0.1, that is, when assigning a value to P0, the difference between two adjacent values ​​is 0.1. p and L p When assigning values, it is also done according to the set variable precision.

[0081] In the above setting, since the assignment of each variable is performed according to the variable precision, that is, the assignment of each variable is performed according to a certain change rule, the adverse effects of random and irregular assignment are reduced.

[0082] In some embodiments, step 3) includes:

[0083] 31) taking the initial pressure of the gas source 10 in the data group as the first current pressure at the current moment, and taking the initial pressure of the component to be tested 30 as the second current pressure;

[0084] For each data set, the initial pressure of the gas source 10 is the value of P0 in the data set. The initial pressure of the component under test 30 is the pressure when the component under test 30 is not tested. Since the component under test 30 has a certain degree of leakage, the initial pressure of the component under test 30 is less than the initial pressure of the gas source 10.

[0085] 32) determining a first pressure loss of the gas in the connecting device 20 at the current moment according to the data set and the randomly given first mass flow rate;

[0086] The data set includes the diameter and length of the pipeline 21. The first mass flow rate is a randomly given value. The mass flow rate range corresponding to the first current pressure and the second current pressure can be given based on experience. The first mass flow rate is selected within the mass flow rate range. The first pressure loss is the pressure lost by the gas in the connecting device 20.

[0087] 33) determining a first pressure error corresponding to the first mass flow rate according to a difference between the first current pressure and the first pressure loss and the second current pressure;

[0088] The first pressure error corresponding to the first mass flow is obtained by the first current pressure, the first pressure loss and the second current pressure, that is:

[0089] ΔP=PP c -ΔP 总1

[0090] Where ΔP is the pressure error, P is the first current pressure, ΔP 总1 is the first pressure loss, P c is the second current pressure.

[0091] 34) when the first pressure error is less than or equal to a preset error threshold, determining the first mass flow rate to be the current mass flow rate corresponding to the current moment;

[0092] Preset error threshold error p is a preset value. The current mass flow is the mass flow of the system at the current moment, corresponding to the first current pressure and the second current pressure.

[0093] In some embodiments, when the first pressure error is less than or equal to a preset error threshold error p , then the first mass flow is determined to be the current mass flow corresponding to the current moment. Generally, error is set p is 0 or a positive value greater than 0. Preferably, when ΔP=0, the first mass flow is considered to be the current mass flow corresponding to the current moment. Of course, in some other embodiments, for error p There is no restriction on how to set it.

[0094] It should be noted that, due to the constant of mass conservation, the mass flow rates in each structure of the entire system are equal. When determining the current mass flow rate at the current moment, the mass flow rate is the mass flow rate of the entire airtightness detection system at the current moment.

[0095] 35) Determine the first iteration pressure of the gas source 10 and the second iteration pressure of the component to be tested 30 at the iteration moment according to the current mass flow rate, time interval, volume of the gas source 10, specification parameters of the component to be tested 30, molar mass of the gas and temperature; take the iteration moment as the current moment, the first iteration pressure and the second iteration pressure as the first current pressure and the second current pressure respectively, return to execute steps 32)-34) until the current mass flow rate reaches the target mass flow rate and / or the first current pressure reaches the first target pressure and / or the second current pressure reaches the second target pressure, and record the difference between the corresponding current moment and the initial moment as the detection duration corresponding to the data group.

[0096] After the current mass flow rate is obtained in step 34), the mass of the gas in the gas source 10 and the component to be tested 30 at the next moment can be obtained according to the current mass flow rate and the time interval, that is, the mass of the gas in the gas source 10 and the component to be tested 30 at the iteration moment is obtained. The first iteration pressure of the gas source 10 at the iteration moment is determined according to the mass of the gas in the gas source 10, the specification parameters of the gas source 10, the molar mass of the gas (the molar mass of the gas is related to the type) and the temperature. The second iteration pressure of the component to be tested 30 at the iteration moment is determined according to the mass of the gas in the component to be tested 30, the specification parameters of the component to be tested 30, the molar mass of the gas and the temperature.

[0097] Take the iteration moment as the current moment, the first iteration pressure as the first current pressure, and the second iteration pressure as the second current pressure, and repeat steps 32)-34) again until the current mass flow rate reaches the target mass flow rate and / or the first current pressure reaches the first target pressure and / or the second current pressure reaches the second target pressure, and record the difference between the corresponding current moment and the initial moment as the detection time corresponding to the data group.

[0098] It should be noted here that the detection duration corresponding to each data group is obtained according to the above steps, and the detection duration corresponding to each data group can be obtained in a cross-cutting manner or in series.

[0099] Step 32) includes:

[0100] Determine the pressure loss of the gas in the pipeline 21 at the current moment according to the first mass flow rate and the specification parameters of the pipeline 21; determine the pressure loss of the gas in the loss component at the current moment according to the first mass flow rate;

[0101] The first pressure loss is the sum of the pressure loss of the gas in the pipeline 21 and the pressure loss of the gas in the loss component.

[0102] Among them, the first pressure loss ΔP 总1 is the pressure loss of gas in pipeline 21 ΔP p The pressure loss of gas in the loss component ΔPl sum.

[0103] In other embodiments, the connection device 20 further includes a valve 23, which is disposed on the pipeline 21, and the first pressure loss also includes the pressure loss of the gas in the valve 23. Generally, the pressure loss of the gas in the valve 23 is small, so the influence of the valve 23 is not considered.

[0104] Further, according to the first mass flow rate and the specification parameters of the pipeline 21, determining the pressure loss of the gas in the pipeline 21 includes:

[0105]

[0106] ρ p =ρ;

[0107]

[0108] ΔP p is the pressure loss of the gas in the pipeline 21, that is, ΔP p It is the pressure drop between the inlet of the pipeline 21 connected to the gas source 10 and the outlet of the component to be tested 30 connected to the gas source 10.

[0109] For a given mass flow rate, v p is the average velocity of gas in the cross section of pipe 21, ρ p is the density of the gas in pipeline 21 at the current moment, A p represents the cross-sectional area of ​​the circular pipe 21, λ is the resistance coefficient along the way, L p is the length of the pipeline 21, D p is the diameter of the pipeline 21, ρ is the density of the gas in the gas source 10 at the current moment, M is the molar mass of the gas, P is the first current pressure, R is the gas constant, and T is the temperature of the gas.

[0110] λ is a constant or v is kinematic viscosity. Of course, in some other embodiments, λ can also be obtained by using other calculation formulas, which are not listed here one by one.

[0111] From the above formula, we can see that ΔP p In addition to λ, L p and D p In addition to being related to v p and ρ p Related. Because v p and ρ p and A p Related, and ρ p is equal to ρ, which is related to M, P, T, and R. It can be seen that ρ can be calculated through M, P, T, and R p, through ρ p , and A p You can calculate v p , and finally through λ, L p , D p , p and v p ΔP can be calculated p .

[0112] It should be noted that in some other embodiments, ρ p It is not equal to ρ and is not limited here.

[0113] Furthermore, according to the first mass flow rate and the specification parameters of the loss component, determining the pressure of the gas in the loss component includes:

[0114]

[0115] ρ l =ρ c ;

[0116]

[0117] Where ΔP l is the pressure loss of gas in the loss component, is the preset mass flow rate, is the volume flow rate of gas in pipeline 21, ρ l is the density of the gas in the loss element, ρ c is the density of the gas in the component to be tested 30, M is the molar mass of the gas, P c is the second current pressure, R is the gas constant, and T is the temperature of the gas. Generally, the f() function relationship is generally provided by the supplier of the instrument.

[0118] From the above formula, we can see that ΔP l and Related, and ρ l Related. l and ρ c Equal, ρ c It is related to P. It can be seen that through M, P c , T and R to calculate ρ l , through ρ l and Calculate Last passed ΔP can be calculated l .

[0119] It should be noted that in some other embodiments, ρl and ρ c No limit here.

[0120] Step 34) also includes:

[0121] 341) when the first pressure error is greater than a preset error threshold, obtaining a second pressure loss of the gas in the connecting device 20 according to the specification parameters of the connecting device 20 and a randomly given second mass flow rate;

[0122] When the first pressure error is greater than the preset error threshold, it proves that the first preset mass flow is not the current mass flow at the current moment, and it is necessary to continue to search for the current mass flow corresponding to the current moment.

[0123] The second mass flow rate is a randomly given value, which is different from the value of the first given mass flow rate. The second pressure loss is the pressure lost by the gas in the connecting device 20 .

[0124] 342) Determine the second pressure error corresponding to the second mass flow rate according to the difference between the first current pressure and the second pressure loss and the second current pressure; when the second pressure error and the preset error threshold satisfy a preset relationship, determine that the second mass flow rate is the current mass flow rate corresponding to the current moment.

[0125] The second pressure error corresponding to the second mass flow is obtained by the first current pressure, the second pressure loss and the second current pressure, that is:

[0126] ΔP=PP c -ΔP 总2 ;

[0127] Where ΔP is the pressure error, P is the first current pressure, ΔP 总2 is the second pressure loss, P c is the second current pressure.

[0128] Specifically, when the second pressure error is less than or equal to the preset error threshold error p , then the second mass flow rate is determined to be the current mass flow rate corresponding to the current moment.

[0129] In some embodiments, step 342) includes:

[0130] 3421) when the second pressure error is greater than a preset error threshold, iteratively forming an iterative mass flow rate according to the first mass flow rate, the second mass flow rate, the first pressure error and the second pressure error;

[0131] When the second pressure error and the preset error threshold do not satisfy the preset relationship, it proves that the second preset mass flow is not the current mass flow at the current moment, and it is necessary to continue to find the current mass flow corresponding to the current moment.

[0132] The iterative mass flow rate is related to the first mass flow rate, the second mass flow rate, the first pressure error, and the second pressure error.

[0133] In some specific embodiments, 3421) includes:

[0134]

[0135] is the first mass flow rate, is the second mass flow rate, is the iterative mass flow rate, ΔP 00 is the first pressure error, ΔP 01 is the second pressure error.

[0136] It is conceivable that in some other embodiments, other methods may be used to calculate the iterative mass flow rate, which is not limited here.

[0137] 3422) According to the iterative mass flow and the specification parameters of the connecting device 20, the iterative pressure loss of the gas in the connecting device 20 is obtained; according to the difference between the first current pressure minus the iterative pressure loss and the second current pressure, the iterative pressure error corresponding to the iterative mass flow is determined; when the iterative pressure error is less than or equal to the preset error threshold, the iterative mass flow is determined to be the current mass flow corresponding to the current moment; when the iterative pressure error is greater than the preset error threshold, the iterative mass flow is used as the first mass flow, the iterative pressure error is used as the first pressure error, the second mass flow and the second pressure error remain unchanged, and the process returns to execute step 3421).

[0138] The iterative pressure error corresponding to the iterative mass flow is obtained by the first current pressure, the iterative pressure loss and the second current pressure, that is:

[0139] ΔP=PP c -ΔP 总迭 ;

[0140] Where ΔP is the pressure error, P is the first current pressure, ΔP 总迭 is the iterative pressure loss, P c is the second current pressure.

[0141] Specifically, when the iterative pressure error is less than or equal to the preset error threshold error p , then the iterative mass flow rate is determined to be the current mass flow rate corresponding to the current moment.

[0142] It should be noted that the second pressure loss and the iterative pressure loss are both the pressure loss ΔP of the gas in the pipeline 21. p The pressure loss of gas in the loss component ΔPl The sum of ΔP p With ΔP l It can be calculated using the above formula.

[0143] When the iterative pressure error is greater than the preset error threshold, it proves that the iterative mass flow is not the current mass flow corresponding to the current moment, and it is necessary to continue to find the current mass flow corresponding to the current moment. At this time, the iterative mass flow is used as the first mass flow, the iterative pressure error is used as the first pressure error, the second mass flow and the second pressure error remain unchanged, and the process returns to step 3421), and the iterative mass flow is iterated again until the iterative pressure error and the preset error threshold meet the preset relationship, thereby finding the current mass flow corresponding to the current moment.

[0144] In some embodiments, in step 35), determining the first iteration pressure of the gas source 10 at the iteration time according to the current mass flow rate, the time interval, the volume of the gas source 10, the specification parameters of the component to be tested 30, the molar mass and the temperature of the gas includes:

[0145]

[0146] m t =MZ;

[0147]

[0148] P t is the first iteration pressure of the gas source 10, P t0 is the pressure of the gas source 10 at the previous moment, V is the volume of the gas source 10, Z is the amount of gas in the gas source 10 at the iteration moment, T is the temperature of the gas, R is the gas constant, and M is the molar mass of the gas. t0 The mass of gas in gas source 10 at the last moment, m t is the mass of gas in the gas source 10 at the iteration time, is the current mass flow rate at the previous moment. Δt is the time interval, that is, Δt is the time difference between the previous moment and the next moment.

[0149] From the above formula, we can see that P t In addition to being related to V, T, and R, it is also related to Z, which is related to m t Related. t With m t0 , and Δt, m t0 With P t0 , V, R, T and M are related. It can be seen that through P t0 , V, R, T and M to calculate m t0 Afterwards, through m t0 , and Δt to calculate mt , through m t and M to calculate Z, and finally the first iteration pressure at the iteration time is calculated through V, T, R and Z.

[0150] Furthermore, the structure of the component to be tested 30 is relatively complex, and there are complex flow channels therein. In order to simplify the analysis and obtain a trend conclusion, the component to be tested 30 is simplified to a structure similar to the gas source 10. Thus, in step 35), the second iteration pressure of the component to be tested 30 at the iteration time is determined according to the current mass flow rate, time interval, specification parameters of the gas source 10 and the component to be tested 30, the molar mass of the gas, and the temperature, including:

[0151]

[0152] m ct =Mz c

[0153]

[0154] P ct is the second iteration pressure of the component under test 30, P ct0 is the pressure of the component 30 to be tested at the last moment, V c is the inner volume of the component 30 to be tested, z c is the amount of gas in the component to be tested 30, T is the temperature of the gas, R is the gas constant, M is the molar mass of the gas, m ct0 is the mass of the gas in the component 30 to be tested at the last moment, m ct is the mass of the gas in the component to be tested 30 at the iteration time, is the current mass flow rate at the previous moment, and Δt is the time interval.

[0155] From the above formula, we can see that P ct In addition to V c , T, and R, but also with Z c Related, and Z c With m ct Related. ct With m ct0 , and Δt, m ct0 With P ct0 , V, R, T and M are related. It can be seen that through P ct0 , V, R, T and M to calculate m ct0 , through m ct0 , and Δt to calculate m ct , through m ct and M to calculate Z c , and finally through V, T, R and Z cThe second iteration pressure at the iteration time is calculated.

[0156] In some embodiments, the method for screening airtightness detection equipment further comprises the steps of:

[0157] 5) When the detection time corresponding to all data groups in the first population is greater than the preset time, the data group with shorter detection time in the first population is selected as the iteration basis for crossover and mutation to generate an iterative population, and the iterative population is used as the first population, and the execution of steps 3)-4) is returned.

[0158] When the detection durations corresponding to all data groups in the first population are greater than the preset duration, it proves that all data groups in the first population do not meet the requirements and it is necessary to iterate out the iterative population. The iterative rule for iterating out the iterative population is as follows: select the data groups with shorter detection durations in the first population as the iteration basis, and cross the data in these data groups: for example, P0 and V in one data group are crossed with D in another data group. p and L p Combine to generate a new data set, or P0 in one data set and V, D in another data set p , L p The combination generates a new data set. In this way, the iterative population is generated based on the better data set, eliminating the worse data set and increasing the probability of obtaining a better data set. At the same time, based on the data of the better data set, each data will also mutate to avoid the data in the iterative population being all the data in the data set before the iteration, increasing the possibility of obtaining a better data set.

[0159] It should be noted that the number of data groups included in the iteration population and the initial population is equal. For example, if the initial population includes 50 data groups, the iteration population also includes 50 data groups.

[0160] Step 5) includes:

[0161] 51) Before returning to step 3)-4), obtain the number of iterations of the first population;

[0162] Each iteration of the first population is recorded as 1. For example, when the initial population is iterated for the first time, the number of iterations is 1, and when it is iterated for the second time, the number of iterations is 2, and so on.

[0163] 52) When the number of iterations reaches the preset number, the data group with the shortest detection time among all the first populations less than the number of iterations is output as the optimized data group and the detection time as the optimized time;

[0164] The preset number of times is a manually set value, such as in some specific implementations, the preset number of times can be set to 500. Of course, in other specific implementations, the setting of the preset number of times is not limited.

[0165] When the number of iterations reaches the number of iterations, in order to avoid too long running time, the data group with the shortest detection time in all the first populations less than the number of iterations is output as the optimized data group and the detection time as the optimized time. Since the detection time of this data group is the shortest, the purpose of selecting the optimal airtightness detection equipment is achieved.

[0166] 53) When the number of iterations does not reach the preset number, return to execute steps 3)-4).

[0167] When the number of iterations does not reach the preset number, the running time has not been reached, and the process can return to step 3)-4) to continue screening airtightness testing equipment with superior performance.

[0168] In some embodiments, a data group with a shorter detection time in the first population is selected as an iteration basis, and each data in each data group mutates based on its own mutation probability to generate an iterative population.

[0169] The probability of each data in the mutation probability data set to mutate ranges from 0 to 1. For example, in some specific implementations, the probability of each data to mutate is set to 0.001, that is, each data has a probability of 0.001 to mutate.

[0170] In one embodiment, the relationship between the pressure loss of the loss component and the volume flow rate is: The detected gas is air, the temperature of the gas is 22°C, the molar mass of the air is 29 g / mol, and the friction coefficient of the pipe 21 is set to λ=16. In this embodiment, the time increment Δt in the one-dimensional model is 0.1 s, and the calculation error allowed by the pressure is p =1e-5Pa, assuming that the detection ends when the target mass flow rate in the bipolar plate is equal to 1e-8kg / s, the difference between this moment and the initial moment is the detection time t end .

[0171] Set the number of data groups included in the first population to 50 and the preset number to 500. Generally, the more data groups (number of groups) included in the population and the larger the preset number, the better the optimization solution obtained, but it will lead to a longer calculation time. In actual use, it is necessary to make a trade-off between accuracy and calculation time. Set the mutation probability of each data to 0.001, set the initial pressure P0 of the gas source 10, the volume V of the gas source 10, and the diameter D of the pipeline 21 p and the length L of the pipeline 21 P The minimum allowable values ​​are 2, 0.001, 0.001, and 0.5, respectively. The initial pressure P0 of the gas source 10, the volume V of the gas source 10, and the diameter D of the pipeline 21 p and the length L of the pipeline 21p The maximum allowable values ​​are 30, 0.06, 0.04, and 8, respectively. The initial pressure P0 of the gas source 10, the volume V of the gas source 10, and the diameter D of the pipeline 21 p and the length L of the pipeline 21 p The precisions are 0.1, 0.001, 0.001, and 0.1 respectively.

[0172] The parameters of each component of the airtightness detection equipment used in the prior art are as follows:

[0173]

[0174] The curve of fitness value (the shorter the detection time, the smaller the fitness)-iteration number obtained by the screening method of the airtightness detection device provided by the present application is as follows: Figure 3 The pressure-time curve of the bipolar plate obtained by testing the bipolar plate using the air tightness detection equipment provided in the prior art is shown in Figure 4 As shown, the mass flow-time curve is as follows Figure 5 The pressure-time variation curve of the bipolar plate obtained by testing the bipolar plate with the airtightness detection device obtained by the screening method of the airtightness detection device provided by the present application is shown in FIG. Figure 6 As shown, the mass flow-time curve is as follows Figure 7 shown.

[0175] It can be seen from the above that the detection time of the bipolar plate to be tested by the airtightness detection equipment provided in the prior art is 577s, and the detection time of the bipolar plate to be tested by the airtightness detection equipment obtained by the screening method of the airtightness detection equipment provided in the present application is 97.1s. The optimized initial pressure P0 of the gas source 10, the volume V of the gas source 10, and the diameter D of the pipeline 21 p and the length L of the pipeline 21 p They are [30bar, 1L, 2.6cm, 4.8m] respectively. After optimization, the detection time is shortened by 83.17% compared with before optimization.

[0176] Based on the same inventive concept, the embodiment of the present application also provides a screening device for airtightness detection equipment. The implementation scheme of the technical problem solved by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of the screening device for one or more airtightness detection equipment provided below can refer to the limitations of the screening method for airtightness detection equipment above, and will not be repeated here.

[0177] In one embodiment, a screening device for airtightness detection equipment is provided, comprising an integration module, a generation module, a processing module and an output module, wherein:

[0178] The integration module is used to convert the initial pressure P0 of the gas source 10, the volume V of the gas source 10, the diameter D of the pipeline 21 p and the length L of the pipeline 21 p as variables and integrated into a list [P0, V, D p , L p ].

[0179] The generation module is used to assign values ​​to each variable in the list within the selected value range of each variable to form an initial population. The initial population includes multiple data groups formed by assigning multiple sets of values ​​to the variables in the list, and the initial population is used as the first population.

[0180] The processing module is used to obtain the detection time corresponding to each data group in the first population according to each data group, the specification parameters and initial pressure of the component to be tested 30, and the target pressure and / or target mass flow of the airtightness detection system.

[0181] The output module is used for outputting the detection duration as the optimized duration and the data group corresponding to the optimized duration as the optimized data group when the detection duration corresponding to any data group in the first population is less than or equal to the preset duration.

[0182] Each module in the screening device of the airtightness detection device can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0183] The above-mentioned screening device for airtightness testing equipment does not need to purchase airtightness testing equipment and the airtightness testing equipment does not need to be connected to the component to be tested 30 for actual (on-site) experiments. By obtaining the detection time corresponding to each data group in the first population, each detection time is compared and analyzed with the preset time. When the detection time is less than or equal to the preset time, the detection time is output as the optimized time and the data group corresponding to the optimized time is output as the optimized data group, so as to screen out airtightness testing equipment with better performance, thereby reducing labor costs and equipment costs and improving the screening efficiency of selecting airtightness testing equipment with excellent performance.

[0184] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0185] In one embodiment, a computer-readable storage medium is further provided, storing a computer program. When the computer program is executed by a processor, the processor executes the steps in the performance analysis method of the airtightness detection device.

[0186] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0187] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0188] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for those of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for screening airtightness detection equipment, characterized in that: include: 1) The initial pressure P0 of the gas source (10), the volume V of the gas source (10), and the diameter D of the pipeline (21) are p and the length L of the pipeline (21) p as variables and integrated into a list [P0, V, D p , L p ]; 2) assigning values ​​to each variable in the list within the selected value range of each variable to form an initial population, wherein the initial population includes multiple data groups formed by assigning multiple sets of values ​​to the variables in the list, and the initial population is used as the first population; 3) obtaining the detection time corresponding to each of the data groups in the first population according to the specification parameters and initial pressure of the component (30) to be tested, the target pressure and / or the target mass flow of the airtightness detection system of each of the data groups; 4) When the detection duration corresponding to any of the data groups in the first population is less than or equal to a preset duration, the detection duration is output as an optimized duration and the data group corresponding to the optimized duration is output as an optimized data group.

2. The method for screening airtightness detection equipment according to claim 1, characterized in that: Also includes: 5) When the detection durations corresponding to all the data groups in the first population are greater than the preset duration, the data group with the shorter detection duration in the first population is selected as the iteration basis for crossover and mutation to generate an iterative population, and the iterative population is used as the first population, and steps 3)-4) are returned to be executed; The iterative population and the initial population include the same number of data groups.

3. The method for screening airtightness detection equipment according to claim 2, characterized in that: The step 5) comprises: 51) before returning to execute steps 3)-4), obtaining the number of iterations of the first population; 52) when the number of iterations reaches a preset number, outputting the data group with the shortest detection time among all the first populations whose number is less than the number of iterations as the optimized data group and the detection time as the optimized time; 53) When the number of iterations does not reach the preset number, return to execute steps 3)-4).

4. The method for screening airtightness detection equipment according to claim 2, characterized in that: The step 5) comprises: The data group with the shorter detection time in the first population is selected as the iteration basis, and each data in each data group mutates based on its own mutation probability to generate the iterative population.

5. The method for screening airtightness detection equipment according to claim 1, characterized in that: Step 2) includes: Assign values ​​to each variable within the selected value range of each variable and according to the variable precision and generate the initial population; The variable precision is the difference between two adjacent values ​​assigned to the variable.

6. The method for screening airtightness detection equipment according to claim 1, characterized in that: Step 3) includes: 31) using the initial pressure of the gas source (10) in the data group as the first current pressure at the current moment, and using the initial pressure of the component to be tested (30) as the second current pressure; 32) determining a first pressure loss of the gas in the connecting device (20) at the current moment according to the data set and the randomly given first mass flow rate; 33) determining a first pressure error corresponding to the first mass flow rate according to a difference between the first current pressure and the first pressure loss and the second current pressure; 34) when the first pressure error is less than or equal to a preset error threshold, determining the first mass flow rate to be the current mass flow rate corresponding to the current moment; 35) Determine the first iteration pressure of the gas source (10) and the second iteration pressure of the component to be tested (30) at the iteration moment according to the current mass flow rate, time interval, volume of the gas source (10), specification parameters of the component to be tested (30), molar mass of the gas and temperature; take the iteration moment as the current moment, the first iteration pressure and the second iteration pressure as the first current pressure and the second current pressure respectively, return to execute steps 32)-34) until the current mass flow rate reaches the target mass flow rate and / or the first current pressure reaches the first target pressure and / or the second current pressure reaches the second target pressure, and record the difference between the corresponding current moment and the initial moment as the detection duration corresponding to the data group.

7. The method for screening airtightness detection equipment according to claim 6, characterized in that: The connecting device (20) comprises the pipeline (21) and a loss component, and the loss component comprises a detection component (22); The step 32) comprises: Determine the pressure loss of the gas in the pipeline (21) at the current moment according to the first mass flow rate and the specification parameters of the pipeline (21); determine the pressure loss of the gas in the loss component at the current moment according to the first mass flow rate; The first pressure loss is the sum of the pressure loss of the gas in the pipeline (21) and the pressure loss of the gas in the loss component.

8. The method for screening airtightness detection equipment according to claim 6, characterized in that: The step 34) further comprises: 341) when the first pressure error is greater than the preset error threshold, obtaining a second pressure loss of the gas in the connecting device (20) according to the specification parameters of the connecting device (20) and a randomly given second mass flow rate; 342) Determine a second pressure error corresponding to the second mass flow rate based on the difference between the first current pressure and the second pressure loss and the second current pressure; when the second pressure error is less than or equal to the preset error threshold, determine that the second mass flow rate is the current mass flow rate corresponding to the current moment.

9. The method for screening airtightness detection equipment according to claim 8, characterized in that: The step 342) includes: 3421) when the second pressure error is greater than the preset error threshold, iteratively forming an iterative mass flow rate according to the first mass flow rate, the second mass flow rate, the first pressure error and the second pressure error; 3422) According to the iterative mass flow and the specification parameters of the connecting device (20), the iterative pressure loss of the gas in the connecting device (20) is obtained; according to the difference between the first current pressure and the iterative pressure loss and the second current pressure, the iterative pressure error corresponding to the iterative mass flow is determined; when the iterative pressure error is less than or equal to the preset error threshold, the iterative mass flow is determined to be the current mass flow corresponding to the current moment; when the iterative pressure error is greater than the preset error threshold, the iterative mass flow is used as the first mass flow, the iterative pressure error is used as the first pressure error, the second mass flow and the second pressure error remain unchanged, and the process returns to execute step 3421).

10. A screening device for air tightness detection equipment, characterized in that: include: The integration module is used to convert the initial pressure P0 of the gas source (10), the volume V of the gas source (10), the diameter D of the pipeline (21) p and the length L of the pipeline (21) p as variables and integrated into a list [P0, V, D p , L p ]; A generating module, used for assigning values ​​to each variable in the list within the selected value range of each variable to form an initial population, wherein the initial population includes a plurality of data groups after assigning values ​​to the variables in the list, and the initial population is used as the first population; a processing module, for obtaining the detection time corresponding to each of the data groups in the first population according to each of the data groups, the specification parameters and initial pressure of the component to be tested (30), the target pressure and / or the target mass flow of the airtightness detection system; The output module is used to output the detection duration as the optimized duration and the data group corresponding to the optimized duration as the optimized data group when the detection duration corresponding to any data group in the first population is less than or equal to a preset duration.

11. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the processor executes the steps of the screening method of the airtightness detection device according to any one of claims 1 to 9.

12. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method for screening airtightness detection equipment according to any one of claims 1 to 9 are implemented.

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