A method and device for detecting the water tightness of the water circuit inside a device

Abstract

The present application provides a method and a device for detecting the waterway tightness inside a device. The method includes: obtaining detection parameters for performing airtightness detection on the waterway inside the device to be tested; using the detection parameters to perform airtightness detection on the waterway inside the device, and obtaining a detection result of the waterway inside the device, where the detection result includes the actual inflation pressure and the leakage rate; inputting the actual inflation pressure and the leakage rate into a classification model to obtain the detection result output by the classification model; the detection result is used to characterize whether the waterway inside the device leaks; the classification model is obtained by training a model to be trained in a manner combining a water tightness detection method and an airtightness detection method based on device samples. The present application realizes the detection of whether the waterway inside the device leaks through the airtightness detection method. Therefore, it is not necessary to inject water into the waterway inside the device, and compared with the water tightness detection, the detection time of the airtightness detection is shorter. By identifying the detection result through the classification model, the detection accuracy is improved.

Description

Technical Field

[0001] This application relates to the technical field of non-destructive testing, and more specifically, to a method and device for detecting the water tightness of the water circuit inside a device. Background Art

[0002] For some devices containing a water circuit, such as water dispensers, water purifiers, pipeline machines, etc., it is necessary to perform a water tightness test on the water circuit before leaving the factory to determine whether it meets the factory standards.

[0003] The current water tightness detection methods mainly include: (1) Connect a water source with a certain pressure to the device, maintain the pressure for a certain period of time, and observe whether there is water leakage on the surface of the device water circuit, so as to determine whether the device meets the water tightness requirements for leaving the factory. (2) Apply a foaming agent on the surface of the device, then pressurize and ventilate, and observe whether there are bubbles at the parts where the foaming agent is applied.

[0004] The first method mentioned above will cause residual test water in the water circuit, resulting in mildew inside the water circuit, and the detection efficiency is low due to too long pressure holding time. The second method requires the inspector to observe with the naked eye, and the detection accuracy is relatively low. Summary of the Invention

[0005] The purpose of the embodiments of this application is to provide a method and device for detecting the water tightness of the water circuit inside a device, which can improve the detection efficiency and accuracy without injecting water into the water circuit.

[0006] In a first aspect, the embodiments of this application provide a method for detecting the water tightness of the water circuit inside a device, including:

[0007] Obtain the detection parameters for performing an air tightness test on the water circuit inside the device to be tested;

[0008] Use the detection parameters to perform an air tightness test on the water circuit inside the device, and obtain the detection result of the water circuit inside the device, where the detection result includes the actual inflation pressure and the leakage rate;

[0009] Input the actual inflation pressure and the leakage rate into a pre-trained classification model, and obtain the detection result output by the classification model; the detection result is used to characterize whether the water circuit inside the device leaks;

[0010] Among them, the classification model is obtained by training a model to be trained in a manner that combines a water tightness detection method and an air tightness detection method based on device samples.

[0011] In the embodiment of the present application, a method for detecting air tightness is used to detect whether there is water leakage in the water circuit of the device. Therefore, it is not necessary to inject water into the water circuit of the device, and the detection time of air tightness detection is shorter compared with water tightness detection. The detection result is identified by a classification model, which improves the accuracy of detection.

[0012] In any embodiment, the obtaining of the detection parameters for performing air tightness detection on the water circuit in the device to be tested includes:

[0013] Using a water tightness detection method to perform water tightness detection on a device sample, and determining the label of the device sample, where the label includes a qualified device sample and an unqualified device sample;

[0014] Using a primary air tightness parameter within a preset range to perform air tightness detection on the device sample, and obtaining the distribution differences of the qualified device sample and the unqualified device sample in terms of leakage rate and actual inflation pressure;

[0015] Determining the detection parameters from the primary air tightness parameters according to the distribution differences.

[0016] In the embodiment of the present application, the detection parameters are determined according to the distribution differences of the qualified device sample and the unqualified device sample in terms of leakage rate and actual inflation pressure. Therefore, the obtained detection parameters can more accurately distinguish the water circuits in the devices that leak air but do not leak water and those that leak air and water.

[0017] In any embodiment, the determining of the detection parameters from the primary air tightness parameters according to the distribution differences includes:

[0018] Taking the primary air tightness parameter with the largest distribution difference as the detection parameter.

[0019] In the embodiment of the present application, by taking the primary air tightness parameter with the largest distribution difference as the detection parameter, the accuracy of distinguishing the water circuits in the devices that leak air but do not leak water and those that leak air and water is improved.

[0020] In any embodiment, the method further includes:

[0021] Taking the actual inflation pressure and leakage rate corresponding to the detection parameters of the device sample as the input of the model to be trained, and taking the label of the device sample as the output of the model to be trained, and training the model to be trained to obtain the classification model.

[0022] In the embodiment of the present application, after determining the reasonable detection parameters for the air tightness detection method, the device sample is subjected to air tightness detection using the detection parameters, and the detection result of the air tightness detection and the label of the device sample are used for model training to obtain the classification model. Thus, the classification model can be used to accurately and efficiently detect water leakage in the water circuit of the device to be tested.

[0023] In any embodiment, the airtightness detection of the equipment sample by using the primary airtightness parameters within a preset range includes:

[0024] Using the primary airtightness parameters within the preset range, the airtightness detection of the equipment sample is carried out by means of an orthogonal test or a permutation and combination method.

[0025] In the embodiment of the present application, by using the orthogonal test method, the detection parameters for airtightness detection can be quickly determined from the primary airtightness parameters.

[0026] In any embodiment, the obtaining of the distribution differences in leakage rate and actual inflation pressure between the qualified equipment sample and the unqualified equipment sample by using the primary airtightness parameters within a preset range to perform airtightness detection on the equipment sample includes:

[0027] Using the primary airtightness parameters within the preset range to perform airtightness detection on the equipment sample, obtaining the distributions of the leakage rate and actual inflation pressure corresponding to the qualified equipment sample, and the distributions of the leakage rate and actual inflation pressure corresponding to the unqualified equipment sample;

[0028] Calculating the obtained distribution differences according to the distributions of the qualified equipment sample and the unqualified equipment sample.

[0029] In the embodiment of the present application, the detection parameters are determined according to the distribution differences in leakage rate and actual inflation pressure between the qualified equipment sample and the unqualified equipment sample, so that the obtained detection parameters can more accurately distinguish the internal waterways of the equipment that leak air but do not leak water and the internal waterways of the equipment that leak air and leak water.

[0030] In any embodiment, the obtaining of the detection result of the internal waterway of the equipment by using the detection parameters to perform airtightness detection on the internal waterway of the equipment includes:

[0031] Inflating the internal waterway of the equipment with a pre-determined inflation pressure, and measuring the actual inflation pressure of the internal waterway of the equipment after the inflation is completed;

[0032] After a pre-set pressure holding duration, measuring the remaining pressure of the internal waterway of the equipment, and determining the leakage rate according to the actual inflation pressure and the remaining pressure.

[0033] In the embodiment of the present application, by combining the water tightness detection and the air tightness detection methods, it is possible to detect whether the internal waterway of the equipment to be tested leaks water through the air tightness detection method.

[0034] In a second aspect, the embodiment of the present application provides a device for detecting the airtightness of the internal waterway of an equipment, including:

[0035] A parameter acquisition module, configured to acquire detection parameters for performing an airtightness detection on a water circuit in a device to be tested;

[0036] A detection module, configured to perform an airtightness detection on the water circuit in the device by using the detection parameters, and obtain a detection result of the water circuit in the device, where the detection result includes an actual inflation pressure and a leakage rate;

[0037] A classification module, configured to input the actual inflation pressure and the leakage rate into a pre-trained classification model, and obtain a detection result output by the classification model;

[0038] Wherein, the classification model is obtained by training a model to be trained by combining a watertightness detection method and an airtightness detection method based on device samples.

[0039] In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, a memory, and a bus, wherein,

[0040] The processor and the memory communicate with each other through the bus;

[0041] The memory stores program instructions executable by the processor, and the processor can execute the method of the first aspect by invoking the program instructions.

[0042] In a fourth aspect, an embodiment of the present application provides a non-transitory computer-readable storage medium, including:

[0043] The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the method of the first aspect.

[0044] Other features and advantages of the present application will be described in the subsequent specification, and part of them will become obvious from the specification, or can be understood by implementing the embodiments of the present application. The objectives and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written specification, claims, and drawings. Description of the Drawings

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0046] Figure 1 It is a schematic flowchart of a method for detecting the water circuit tightness in a device provided by an embodiment of the present application;

[0047] Figure 2 Schematic flowchart of the model training method provided by an embodiment of the present application;

[0048] Figure 3 Schematic structural diagram of a device internal waterway sealing detection device provided by an embodiment of the present application;

[0049] Figure 4 Schematic structural diagram of the electronic device entity provided by an embodiment of the present application. Detailed implementation manners

[0050] Next, embodiments of the technical solutions of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and therefore are only examples and cannot be used to limit the protection scope of the present application.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion.

[0052] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality" is more than two, unless otherwise specifically defined.

[0053] Referring to "embodiment" herein means that a specific feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0054] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0055] In the description of the embodiments of the present application, the term "a plurality" refers to two or more (including two). Similarly, "a plurality of groups" refers to two or more groups (including two groups), and "a plurality of pieces" refers to two or more pieces (including two pieces).

[0056] In the description of the embodiments of the present application, for technical terms such as "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., the orientation or positional relationship indicated is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the embodiments of the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the embodiments of the present application.

[0057] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installation", "connection", "connection", "fixation", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can also be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific situations.

[0058] The water circuit inside the device refers to the pipeline for water passage in the device. To ensure the safety of the device during use after leaving the factory, it is necessary to detect the sealing performance of the water circuit inside the device before leaving the factory, that is, to detect whether the water circuit inside the device leaks.

[0059] Watertightness refers to the performance of isolating water inside an object. A common method for watertightness detection is to inject water into the device to be detected to determine whether water seeps out.

[0060] Air tightness mainly examines whether there is gas leakage at each connection part of the container. The air tightness detector detects the air tightness of the device through three steps: inflating the device, maintaining pressure, and measuring the leakage rate. For the same type of device, under the corresponding inflation and pressure maintenance parameters, a leakage rate threshold is set to determine whether the device meets the air tightness requirements. It has the advantages of fast detection speed, automated detection process, and no residue after detection.

[0061] In order to solve the problems in the prior art that when using the method of injecting water into the water circuit inside the device to detect the watertightness of the water circuit inside the device, there is residual test water in the water circuit inside the device, and the method requires a long observation time after injecting water, resulting in low detection efficiency. The inventors of the present application proposed a method for detecting the watertightness of the water circuit inside the device by using the air tightness detection method.

[0062] However, due to the different chemical and physical properties of gas molecules and water molecules, a leaking device does not necessarily leak water. Directly using the airtightness detection method will lead to a low accuracy in detecting the water tightness of the water circuit inside the device. Therefore, through long-term research, the inventors of this application found that it is necessary to adjust the airtightness detection parameters so that the adjusted detection parameters can effectively distinguish between devices that leak air but do not leak water and devices that leak air and water.

[0063] The following is a detailed description of the detection of the water tightness of the water circuit inside the device provided by the embodiments of this application. It can be understood that the execution subject of the water tightness detection method of the water circuit inside the device can be an airtightness detection device including a classification model.

[0064] Figure 1 A schematic flowchart of a method for detecting the water tightness of the water circuit inside a device provided by an embodiment of this application is shown in Figure 1 As shown, the method includes:

[0065] Step 101: Obtain the detection parameters for detecting the airtightness of the water circuit inside the device to be tested.

[0066] Among them, the detection parameters refer to the parameters used for detecting the airtightness of the water circuit inside the device to be tested, and may include: inflation pressure, pressure holding duration, measurement duration, etc. It can be understood that the detection parameters are determined by detecting a small part of the devices in a combined manner of water tightness detection and airtightness detection. For the specific detection method, refer to the following embodiments.

[0067] Step 102: Use the detection parameters to detect the airtightness of the water circuit inside the device, and obtain the detection result of the water circuit inside the device. The detection result includes the actual inflation pressure and the leakage rate.

[0068] Among them, the detection device uses the pre-determined detection parameters to detect the airtightness of the water circuit inside the device. Specifically, the device can be inflated with the pre-determined inflation pressure into the water circuit inside the device, and the pressure is held for the pre-set pressure holding duration to keep the gas pressure in the water circuit inside the device stable. After the pressure holding ends, the gas pressure in the water circuit inside the device can be collected once, and then the gas pressure in the water circuit inside the device is collected again after the measurement duration. The leakage rate is calculated based on the gas pressures collected twice. In addition, since there is a deviation between the inflation pressure set in the airtightness detection device and the actual inflation pressure filled into the water circuit inside the device, in order to improve the detection accuracy, the embodiments of this application use the actual inflation pressure for distribution calculation. Therefore, after the pressure holding is completed, the gas pressure collected from the water circuit inside the device can be used as the actual inflation pressure.

[0069] Step 103: Input the actual inflation pressure and the leakage rate into a pre-trained classification model to obtain the detection result output by the classification model; the detection result is used to characterize whether there is water leakage in the water circuit of the device;

[0070] Among them, the classification model is obtained by training a model to be trained in a combined manner of a water tightness detection method and an air tightness detection method based on device samples.

[0071] It can be understood that the classification model can be a classification model such as a support vector machine, a decision tree, a naive Bayes, etc. And the classification model is to determine the label of the device sample by using the water tightness detection method, detect the device sample by using the air tightness detection method, obtain the leakage rate and the actual inflation pressure of the device sample, and use the leakage rate, the actual inflation pressure, and the label of whether the device sample leaks water to train the model to obtain the classification model.

[0072] After obtaining the classification model, input the leakage rate and the actual inflation pressure of the water circuit in the device to be tested into the classification model to obtain the detection result output by the classification model. It can be understood that the classification model can output the probability value of water leakage in the water circuit of the device to be tested, and determine whether there is water leakage according to the probability.

[0073] In the embodiment of the present application, the detection of whether there is water leakage in the water circuit of the device is realized through the air tightness detection method. Therefore, it is not necessary to inject water into the water circuit of the device, and compared with the water tightness detection, the detection duration of the air tightness detection is shorter. The accuracy of the detection is improved by identifying the detection result through the classification model.

[0074] Based on the above embodiment, the obtaining of the detection parameters for performing air tightness detection on the water circuit in the device to be tested includes:

[0075] Perform water tightness detection on the device sample by using the water tightness detection method to determine the label of the device sample, where the label includes a qualified device sample and an unqualified device sample;

[0076] Perform air tightness detection on the device sample by using the primary air tightness parameters within a preset range to obtain the distribution differences of the leakage rate and the actual inflation pressure between the qualified device sample and the unqualified device sample;

[0077] Determine the detection parameters from the primary air tightness parameters according to the distribution differences.

[0078] In the specific implementation process, since the air tightness detection parameters include inflation pressure, pressure holding duration, and measurement time, and the parameter range of each parameter can be set according to the actual situation, therefore, a preset number of parameter values can be selected from the parameter range corresponding to each parameter, and multiple groups of primary air tightness parameters can be obtained by combination.

[0079] By using each initially selected airtightness parameter to conduct airtightness detection on equipment samples, the distributions of qualified equipment samples in terms of leakage rate and actual inflation pressure, as well as the distributions of unqualified equipment samples in terms of leakage rate and actual inflation pressure, can be obtained. Based on the above distributions, the distribution differences between qualified equipment samples and unqualified equipment samples under each initially selected airtightness parameter can be calculated. According to the distribution differences, a set of relatively preferred detection parameters can be determined from the initially selected airtightness parameters.

[0080] It can be understood that when calculating the distribution differences, methods such as maximum mean discrepancy, Wasserstein Distance, or Kullback-Leibler divergence can be used to calculate the distribution differences between qualified equipment samples and unqualified equipment samples under the same initially selected airtightness parameter.

[0081] The smaller the distribution difference, it indicates that when using the corresponding initially selected airtightness parameter to conduct inflation tests on equipment samples, the differences in gas leakage between qualified equipment samples and unqualified equipment samples are not significant. That is to say, it is impossible to well distinguish between leaking equipment samples and non-leaking equipment samples through the leakage rate. The larger the distribution difference, it shows that when conducting airtightness detection with the corresponding initially selected airtightness parameter, the differences in leakage rate between leaking equipment samples and non-leaking equipment samples are relatively large, and it can better distinguish between qualified equipment samples and unqualified equipment samples. When determining the preferred detection parameters from the initially selected airtightness parameters, the initially selected airtightness parameter with the largest distribution difference can be used as the detection parameter.

[0082] In the embodiment of the present application, the detection parameters are determined based on the distribution differences between qualified equipment samples and unqualified equipment samples in terms of leakage rate and actual inflation pressure, so that the obtained detection parameters can more accurately distinguish the internal water paths of equipment that leaks air but does not leak water and equipment that leaks air and water.

[0083] In another embodiment, when determining the initial airtightness parameters, multiple groups of initial airtightness parameters can be determined by using the orthogonal experiment method. The orthogonal experiment design method is a method of using a pre-made table, that is, an orthogonal table, to arrange experiments and conduct data analysis. The number of occurrences of different numbers in each column of the orthogonal table is equal, and, when considering the two numbers in the same row as an ordered pair in any two columns, the number of occurrences of each pair is equal. By using the orthogonal experiment method, the calculation workload can be greatly reduced.

[0084] It should be noted that when determining the initial airtightness parameters, the values of inflation pressure, pressure holding duration, and measurement time within their respective ranges can also be arranged in combination to obtain multiple initial airtightness parameters after the arrangement and combination.

[0085] In the embodiment of the present application, by using the primary airtightness parameter with the largest distribution difference as the detection parameter, the accuracy of distinguishing the internal water circuits of devices that leak air but do not leak water and devices that leak air and water is improved.

[0086] Based on the above embodiment, Figure 2 is a schematic flow chart of the model training method provided by the embodiment of the present application. As Figure 2 shown, the method includes:

[0087] Step 201: Perform a watertightness test on the device sample; among them, select a batch of devices to be tested as the device sample, and use the traditional watertightness test method to perform a watertightness test on the devices to be tested. Specifically, the traditional watertightness test method can be the water injection method. Specifically, water can be injected into the internal water circuit of the device sample. When the water pressure rises to the test pressure, start timing. When the pressure drops, timely replenish water into the internal water circuit of the device sample. The entire test duration is not less than 2 hours, and record the test duration and the amount of water replenished. The amount of water replenished is the penetration amount of the internal water circuit. Determine the qualified device samples and unqualified device samples according to the penetration amount.

[0088] Step 202: Determine the detection parameters of the preferred airtightness test method; first, the inflation pressure, the pressure holding duration, and the measurement time each have their own value ranges, and specific values of each factor within their respective value ranges can be selected according to the actual situation. For example: if the value range of the inflation pressure is 1-5, and 3 values are selected within this range, then 1, 3, and 5 can be selected; if the pressure holding duration is 30 seconds - 2 minutes, and 4 values are selected within this range, then 30 seconds, 1 minute, 1 minute 30 seconds, and 2 minutes can be selected; if the measurement time range is 1 minute - 2 minutes, and 3 values are selected within this range, then 1 minute, 1 minute 30 seconds, and 2 minutes can be selected. Determine multiple primary airtightness parameters based on the orthogonal test method. And for each primary airtightness parameter, calculate the leakage rate and the actual inflation pressure corresponding to the qualified device samples respectively, and calculate the leakage rate and the actual inflation pressure corresponding to the unqualified device samples respectively. Fit the leakage rate and the actual inflation pressure corresponding to the qualified device samples into one distribution, fit the leakage rate and the actual inflation pressure corresponding to the unqualified device samples into one distribution, and calculate the distribution difference between these two distributions. Use the primary airtightness parameter with the largest distribution difference as the detection parameter.

[0089] Step 203: Perform model training by using the airtightness test results of the device sample and the corresponding labels. Input the airtightness test results of each device sample corresponding to the detection parameter, that is, the leakage rate and the actual inflation pressure, into the model to be trained, obtain the predicted values output by the model to be trained, and optimize the parameters in the model to be trained according to the predicted values and the labels (qualified or unqualified) corresponding to the device samples until the loss function of the model to be trained tends to be stable, or the number of iterations reaches the preset number.

[0090] After determining the reasonable detection parameters of the airtightness detection method in the embodiments of the present application, the detection parameters are used to perform airtightness detection on the equipment sample, and the detection results of the airtightness detection and the labels of the equipment sample are used for model training to obtain a classification model, so that the classification model can be used to accurately and efficiently detect water leakage in the water circuit of the equipment to be tested.

[0091] Based on the above embodiments, the airtightness detection of the water circuit in the equipment by using the detection parameters to obtain the detection result of the water circuit in the equipment includes:

[0092] Inflate the water circuit in the equipment with a pre-determined inflation pressure, and measure the actual inflation pressure of the water circuit in the equipment after inflation is completed;

[0093] After a pre-set pressure holding duration, measure the remaining pressure of the water circuit in the equipment, and determine the leakage rate according to the actual inflation pressure and the remaining pressure.

[0094] In a specific implementation process, since there is a deviation between the inflation pressure set on the airtightness detection equipment and the pressure actually filled into the water circuit in the equipment, in order to improve the accuracy of the detection of the water circuit in the equipment, the actual inflation pressure in the water circuit in the equipment can be detected by the airtightness detection equipment.

[0095] The leakage rate is calculated and output by the airtightness detection equipment. The specific calculation method is: after filling the pre-set inflation pressure into the water circuit in the equipment, perform pressure holding according to the pressure holding duration. After the pressure holding is completed, collect the actual inflation pressure of the water circuit in the equipment, and then after a measurement time, collect the remaining pressure of the water circuit in the equipment again, and calculate the leakage rate according to the actual inflation pressure and the remaining pressure.

[0096] The detection duration of the embodiments of the present application mainly includes the inflation duration, the pressure holding duration, and the measurement duration, and for airtightness detection, each of the above durations is relatively short. In the actual test process, the overall process takes about one minute, which is a significant improvement in detection efficiency compared to the method of observing water leakage for dozens of minutes. In addition, the detection result of the present application is obtained by analyzing the actual inflation pressure and the leakage rate using a classification model, which is more accurate than the method of observing whether there are bubbles by the naked eye, and the entire detection process has data records, and the results are easier to trace.

[0097] Figure 3 It is a schematic structural diagram of a device for detecting the water tightness of the water circuit in the equipment provided by the embodiments of the present application. This device can be a module, a program segment, or code on an electronic device. It should be understood that this device corresponds to the above Figure 1 method embodiment and can execute Figure 1For each step involved in the method embodiment, the specific functions of the device can be referred to the description in the above text. To avoid repetition, the detailed description is appropriately omitted here. The device includes: a parameter acquisition module 301, a detection module 302, and a classification module 303, where:

[0098] The parameter acquisition module 301 is configured to acquire detection parameters for performing airtightness detection on the water circuit in the device to be tested;

[0099] The detection module 302 is configured to perform airtightness detection on the water circuit in the device by using the detection parameters, and obtain a detection result of the water circuit in the device, where the detection result includes an actual inflation pressure and a leakage rate;

[0100] The classification module 303 is configured to input the actual inflation pressure and the leakage rate into a pre-trained classification model, and obtain a detection result output by the classification model; the detection result is used to characterize whether the water circuit in the device leaks;

[0101] Wherein, the classification model is obtained by training a model to be trained by combining a watertightness detection method and an airtightness detection method based on device samples.

[0102] Based on the above embodiment, the parameter acquisition module 301 is specifically configured to:

[0103] Perform watertightness detection on the device samples by using the watertightness detection method, and determine the labels of the device samples, where the labels include qualified device samples and unqualified device samples;

[0104] Perform airtightness detection on the device samples by using a primary airtightness parameter within a preset range, and obtain the distribution differences of the leakage rate and the actual inflation pressure between the qualified device samples and the unqualified device samples;

[0105] Determine the detection parameters from the primary airtightness parameters according to the distribution differences.

[0106] Based on the above embodiment, the parameter acquisition module 301 is specifically configured to:

[0107] Use the primary airtightness parameter with the largest distribution difference as the detection parameter.

[0108] Based on the above embodiment, the device further includes a model training module, configured to:

[0109] Use the actual inflation pressure and the leakage rate corresponding to the detection parameters of the device samples as the input of the model to be trained, and use the labels of the device samples as the output of the model to be trained, and train the model to be trained to obtain the classification model.

[0110] Based on the above embodiments, the parameter acquisition module 301 is specifically configured to:

[0111] Use the initially selected airtightness parameters within the preset range to perform airtightness detection on the device samples in the form of orthogonal experiments or permutations and combinations.

[0112] Based on the above embodiments, the parameter acquisition module 301 is specifically configured to:

[0113] Use the initially selected airtightness parameters within the preset range to perform airtightness detection on the device samples, obtain the distributions of the leakage rates and actual inflation pressures corresponding to the qualified device samples, and the distributions of the leakage rates and actual inflation pressures corresponding to the unqualified device samples;

[0114] Calculate the distribution difference based on the distributions of the qualified device samples and the unqualified device samples.

[0115] Based on the above embodiments, the detection module 302 is specifically configured to:

[0116] Inflate the water circuit inside the device using a pre-determined inflation pressure, and measure the actual inflation pressure of the water circuit inside the device after inflation;

[0117] Measure the remaining pressure of the water circuit inside the device after a pre-set pressure holding duration, and determine the leakage rate based on the actual inflation pressure and the remaining pressure.

[0118] Figure 4 This is a schematic diagram of the physical structure of the electronic device provided by the embodiments of the present application. As Figure 4 shown, the electronic device includes: a processor 401, a memory 402, and a bus 403; wherein,

[0119] The processor 401 and the memory 402 communicate with each other through the bus 403;

[0120] The processor 401 is used to call program instructions in the memory 402 to execute the methods provided in the above method embodiments, for example, including: obtaining detection parameters for performing airtightness detection on the water circuit inside the device to be tested; using the detection parameters to perform airtightness detection on the water circuit inside the device, and obtaining the detection results of the water circuit inside the device, where the detection results include the actual inflation pressure and the leakage rate; inputting the actual inflation pressure and the leakage rate into a pre-trained classification model to obtain the detection results output by the classification model; the detection results are used to characterize whether the water circuit inside the device leaks; wherein, the classification model is obtained by training a model to be trained in a manner that combines a watertightness detection method and an airtightness detection method based on device samples.

[0121] The processor 401 may be an integrated circuit chip with signal processing capabilities. The above-mentioned processor 401 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0122] The memory 402 may include, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), etc.

[0123] This embodiment discloses a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided in the above-mentioned method embodiments, for example, including: obtaining detection parameters for airtightness detection of the water circuit in the device to be tested; using the detection parameters to perform airtightness detection on the water circuit in the device to obtain a detection result of the water circuit in the device, where the detection result includes the actual inflation pressure and the leakage rate; inputting the actual inflation pressure and the leakage rate into a pre-trained classification model to obtain a detection result output by the classification model; the detection result is used to characterize whether the water circuit in the device leaks; wherein, the classification model is obtained by training a model to be trained in a manner combining a watertightness detection method and an airtightness detection method based on device samples.

[0124] This embodiment provides a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the methods provided in the above method embodiments. For example, it includes: obtaining detection parameters for airtightness detection of the water circuit in the device to be tested; using the detection parameters to perform airtightness detection on the water circuit in the device to obtain a detection result of the water circuit in the device, where the detection result includes the actual inflation pressure and the leakage rate; inputting the actual inflation pressure and the leakage rate into a pre-trained classification model to obtain a detection result output by the classification model; the detection result is used to characterize whether the water circuit in the device leaks; wherein, the classification model is obtained by training a model to be trained in a manner that combines a watertightness detection method and an airtightness detection method based on device samples.

[0125] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces. The indirect coupling or communication connection of the devices or units can be in an electrical, mechanical or other form.

[0126] In addition, the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0127] Furthermore, in each embodiment of the present application, the functional modules can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.

[0128] In this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0129] The above description is only for the embodiments of the present application and is not intended to limit the protection scope of the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for detecting the water tightness of the water circuit inside a device, characterized in that, include: Obtaining test parameters for air tightness testing of the water channel in the device to be tested; Performing an air tightness test on the water channel in the device using the test parameters to obtain a test result of the water channel in the device, the test result including an actual inflation pressure and a leakage rate; Inputting the actual inflation pressure and the leakage rate into a pre-trained classification model to obtain a detection result output by the classification model; the detection result output by the classification model is used to indicate whether the water channel in the device is leaking; The classification model is obtained by training the training model based on equipment samples by combining the water tightness detection method with the air tightness detection method; The acquisition of detection parameters for air tightness detection of the water channel in the device to be tested includes: Performing a watertightness test on the equipment samples using a watertightness test method to determine labels for the equipment samples, the labels including qualified equipment samples and unqualified equipment samples; Performing air tightness testing on the device samples using a preset range of preliminary air tightness parameters to obtain distribution differences in leakage rate and actual inflation pressure between the qualified device samples and the unqualified device samples; The detection parameter is determined from the preliminary selected airtightness parameters according to the distribution difference.

2. The method according to claim 1, wherein Determining the detection parameter from the preliminary selected airtightness parameters according to the distribution difference includes: The primary air tightness parameter with the largest distribution difference is used as the detection parameter.

3. The method according to claim 1, characterized in that, The method further comprises: The actual inflation pressure and leakage rate corresponding to the detection parameters of the device sample are used as inputs of the model to be trained, and the labels of the device samples are used as outputs of the model to be trained. The model to be trained is trained to obtain the classification model.

4. The method according to claim 1, characterized in that, The air tightness test of the equipment sample using the pre-selected air tightness parameters within a preset range includes: The air tightness test of the equipment sample is performed using the pre-selected air tightness parameters within the preset range and an orthogonal test method or a permutation and combination method.

5. The method according to claim 1, wherein The air tightness test is performed on the equipment sample using the pre-selected air tightness parameters within a preset range to obtain the distribution difference in leakage rate and actual inflation pressure between the qualified equipment sample and the unqualified equipment sample, including: Performing air tightness testing on the device samples using the pre-selected air tightness parameters within a preset range to obtain a distribution of leakage rates and actual inflation pressures corresponding to the qualified device samples, and a distribution of leakage rates and actual inflation pressures corresponding to the unqualified device samples; The distribution difference is obtained by calculation according to the distribution of the qualified device samples and the distribution of the unqualified device samples.

6. The method according to any one of claims 1-5, characterized in that The step of performing air tightness testing on the water channel in the device using the detection parameters to obtain the detection result of the water channel in the device includes: Inflating the water channel in the device using a predetermined inflation pressure, and measuring the actual inflation pressure of the water channel in the device after the inflation is completed; After a preset pressure-maintaining time has passed, the residual pressure in the water channel of the device is measured, and the leakage rate is determined based on the actual inflation pressure and the residual pressure.

7. A waterway sealing detection device inside a device, characterized in that, include: A parameter acquisition module is used to obtain detection parameters for air tightness detection of the water channel in the device to be tested; A detection module, which is used to perform airtightness detection on the water circuit in the device by using the detection parameters, and obtain the detection result of the water circuit in the device, where the detection result includes the actual inflation pressure and the leakage rate; A classification module, which is used to input the actual inflation pressure and the leakage rate into a pre-trained classification model, and obtain the detection result output by the classification model; the detection result output by the classification model is used to characterize whether the water circuit in the device leaks; Among them, the classification model is obtained by training a model to be trained in a manner combining a water tightness detection method and an airtightness detection method based on device samples; The parameter acquisition module is specifically used for: Performing water tightness detection on device samples by using a water tightness detection method, and determining the labels of the device samples, where the labels include qualified device samples and unqualified device samples; Performing airtightness detection on the device samples by using a primary airtightness parameter within a preset range, and obtaining the distribution differences of the leakage rate and the actual inflation pressure between the qualified device samples and the unqualified device samples; Determining the detection parameters from the primary airtightness parameters according to the distribution differences.

8. An electronic device, characterized in that, It includes: A processor, a memory and a bus, where The processor and the memory complete communication with each other through the bus; The memory stores program instructions executable by the processor, and the processor can execute the method according to any one of claims 1-6 by calling the program instructions.

9. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions, and when the computer instructions are run by the computer, the computer executes the method according to any one of claims 1-6.

Images