CN115752948A

CN115752948A - Method and device for detecting tightness of water path in equipment

Info

Publication number: CN115752948A
Application number: CN202211534155.4A
Authority: CN
Inventors: 徐凤逸
Original assignee: Chongqing Cisai Tech Co Ltd
Current assignee: Chongqing Cisai Tech Co Ltd
Priority date: 2022-12-01
Filing date: 2022-12-01
Publication date: 2023-03-07

Abstract

The application provides a method and a device for detecting the tightness of a water path in equipment, wherein the method comprises the following steps: acquiring detection parameters for detecting the air tightness of a water channel in equipment to be detected; performing air tightness detection on the waterway in the equipment by using the detection parameters to obtain a detection result of the waterway in the equipment, wherein the detection result comprises actual inflation pressure and leakage rate; inputting the actual inflation pressure and the leakage rate into a classification model to obtain a detection result output by the classification model; the detection result is used for representing whether a water path in the equipment leaks water or not; the classification model is obtained by training a model to be trained based on the equipment sample by combining a water tightness detection method and an air tightness detection method. According to the detection method, whether the water channel in the equipment leaks or not is detected, so that water does not need to be injected into the water channel in the equipment, the air tightness detection is compared with the water tightness detection, the detection time is short, the detection result is identified through the classification model, and the detection accuracy is improved.

Description

Method and device for detecting tightness of water path in equipment

Technical Field

The application relates to the technical field of nondestructive testing, in particular to a method and a device for detecting the water circuit tightness in equipment.

Background

For some devices containing waterways, for example: the water tightness of the water paths of the water dispenser, the water purifier, the pipeline machine and the like needs to be detected before leaving a factory so as to judge whether the water paths meet the factory standards.

The current water tightness detection method mainly comprises the following steps: (1) The water source with certain pressure is connected into the equipment, and the equipment is observed whether water seeps out from the surface of the water channel of the equipment or not through pressure maintenance for a certain time, so that whether the equipment meets the water tightness requirement of delivery is really met. (2) The foaming agent is coated on the surface of the equipment, and then the equipment is pressurized and ventilated to observe whether bubbles exist at the part coated with the foaming agent or not.

The first method can lead to residual test water in the waterway, so that the interior of the waterway is moldy, and the detection efficiency is low due to overlong pressure maintaining time. The second method needs visual observation by detection personnel, and the detection accuracy is low.

Disclosure of Invention

An object of the embodiments of the present application is to provide a method and an apparatus for detecting the tightness of a water path in a device, so as to improve the detection efficiency and accuracy while not injecting water into the water path.

In a first aspect, an embodiment of the present application provides a method for detecting tightness of a waterway in equipment, including:

acquiring detection parameters for detecting the air tightness of a water channel in equipment to be detected;

performing air tightness detection on the water channel in the equipment by using the detection parameters to obtain a detection result of the water channel in the equipment, wherein the detection result comprises actual inflation pressure and leakage rate;

inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model; the detection result is used for representing whether a waterway in the equipment leaks water or not;

the classification model is obtained by training a model to be trained based on an equipment sample by combining a water tightness detection method and an air tightness detection method.

According to the embodiment of the application, the detection of whether the water channel in the equipment leaks or not is realized through the air tightness detection method, therefore, water does not need to be injected into the water channel in the equipment, the air tightness detection time is shorter than the water tightness detection time, the detection result is identified through the classification model, and the detection accuracy is improved.

In any embodiment, the obtaining of the detection parameter for performing the airtightness detection on the internal water path of the device to be detected includes:

performing water tightness detection on the equipment sample by using a water tightness detection method, and determining labels of the equipment sample, wherein the labels comprise qualified equipment samples and unqualified equipment samples;

performing air tightness detection on the equipment sample by using the primarily selected air tightness parameters in a preset range to obtain the distribution difference between the qualified equipment sample and the unqualified equipment sample in the leakage rate and the actual inflation pressure;

and determining the detection parameters from the primarily selected air tightness parameters according to the distribution difference.

According to the embodiment of the application, the detection parameters are determined according to the distribution difference of the qualified equipment samples and the unsuitable equipment samples in the leakage rate and the actual inflation pressure, so that the obtained detection parameters can accurately distinguish the water paths in the equipment which leaks gas but does not leak water or gas and leaks water.

In any embodiment, the determining the detection parameter from the preliminary selection airtightness parameters according to the distribution difference comprises:

and taking the initially selected air tightness parameter with the maximum distribution difference as the detection parameter.

According to the embodiment of the application, the initially selected air tightness parameter with the largest distribution difference is used as the detection parameter, so that the accuracy of distinguishing the water paths in the equipment which leaks air but does not leak water and leaks water is improved.

In any embodiment, the method further comprises:

and taking the actual inflation pressure and the leakage rate corresponding to the detection parameters of the equipment sample as the input of a model to be trained, taking the label of the equipment sample as the output of the model to be trained, and training the model to be trained to obtain the classification model.

According to the embodiment of the application, after the reasonable detection parameters of the air tightness detection method are determined, the detection parameters are used for carrying out air tightness detection on the equipment sample, model training is carried out on the detection result of the air tightness detection and the label of the equipment sample, and the classification model is obtained, so that the classification model can be used for accurately and efficiently carrying out water leakage detection on the water channel in the equipment to be detected.

In any embodiment, the performing, by using the preliminary-selected air-tightness parameter in the preset range, the air-tightness detection on the device sample includes:

and performing air tightness detection on the equipment sample by using the initially selected air tightness parameters in the preset range and adopting an orthogonal test mode or a permutation and combination mode.

According to the embodiment of the application, the detection parameters for air tightness detection can be rapidly determined from the initially selected air tightness parameters by using an orthogonal test mode.

In any embodiment, the performing, by using the preliminarily selected airtightness parameter in the preset range, airtightness detection on the device sample to obtain a distribution difference between the qualified device sample and the unqualified device sample in the leakage rate and the actual inflation pressure includes:

performing air tightness detection on the equipment sample by using the primarily selected air tightness parameters in a preset range to obtain the distribution of the leakage rate and the actual inflation pressure corresponding to the qualified equipment sample and the distribution of the leakage rate and the actual inflation pressure corresponding to the unqualified equipment sample;

and calculating to obtain the distribution difference according to the distribution of the qualified equipment samples and the distribution of the unqualified equipment samples.

In any embodiment, the detecting the airtightness of the waterway in the device by using the detection parameter to obtain the detection result of the waterway in the device includes:

inflating the water channel in the equipment by using the predetermined inflation pressure, and measuring the actual inflation pressure of the water channel in the equipment after the inflation is finished;

and measuring the residual pressure of a water path in the equipment after a preset pressure maintaining time, and determining the leakage rate according to the actual inflation pressure and the residual pressure.

According to the embodiment of the application, by the method of combining the watertight detection and the airtight detection, whether the water channel in the equipment to be detected leaks or not can be detected in the airtight detection mode.

In a second aspect, an embodiment of the present application provides an apparatus for detecting water tightness in a device, including:

the parameter acquisition module is used for acquiring detection parameters for performing air tightness detection on a water channel in the equipment to be detected;

the detection module is used for carrying out air tightness detection on the water channel in the equipment by using the detection parameters to obtain a detection result of the water channel in the equipment, wherein the detection result comprises actual inflation pressure and leakage rate;

the classification module is used for inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model;

the classification model is obtained by training a model to be trained based on the equipment sample by combining a water tightness detection method and an air tightness detection method.

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

the processor and the memory are communicated with each other through the bus;

the memory stores program instructions executable by the processor, the processor being capable of performing the method of the first aspect when invoked by the program instructions.

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

the non-transitory computer readable storage medium stores computer instructions that cause the computer to perform the method of the first aspect.

Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

Fig. 1 is a schematic flow chart of a method for detecting tightness of a water path in equipment according to an embodiment of the present disclosure;

FIG. 2 is a schematic flow chart of a model training method according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a device for detecting the water tightness in equipment according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are merely used to more clearly illustrate the technical solutions of the present application, and therefore are only examples, and the protection scope of the present application is not limited thereby.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions.

In the description of the embodiments of the present application, the technical terms "first", "second", and the like are used only for distinguishing different objects, and are not to be construed as indicating or implying relative importance or implicitly indicating the number, specific order, or primary-secondary relationship of the technical features indicated. In the description of the embodiments of the present application, "a plurality" means two or more unless specifically defined otherwise.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

In the description of the embodiments of the present application, the term "and/or" is only one kind of association relationship describing an associated object, and means that three relationships may exist, for example, a and/or B, and may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

In the description of the embodiments of the present application, the term "plurality" refers to two or more (including two), and similarly, "plural sets" refers to two or more (including two), and "plural pieces" refers to two or more (including two).

In the description of the embodiments of the present application, the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", and the like, indicate the directions or positional relationships indicated in the drawings, and are only for convenience of description of the embodiments of the present application and for simplicity of description, but do not indicate or imply that the referred device or element must have a specific direction, be constructed and operated in a specific direction, and thus, should not be construed as limiting the embodiments of the present application.

In the description of the embodiments of the present application, unless otherwise explicitly specified or limited, the terms "mounted," "connected," "fixed," and the like are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integrated; mechanical connection or electrical connection is also possible; either directly or indirectly through intervening media, either internally or in any other relationship. Specific meanings of the above terms in the embodiments of the present application can be understood by those of ordinary skill in the art according to specific situations.

The in-equipment water path refers to a pipeline for water passing through the equipment, and in order to ensure the safety of the equipment after being shipped from a factory, the tightness of the in-equipment water path needs to be detected before being shipped from the factory, that is, whether the in-equipment water path leaks or not is detected.

Water tightness refers to the property of an object to insulate the interior from water. In the water tightness detection method, water is usually injected into the equipment to be detected to judge whether water seeps out.

And the airtightness is mainly used for checking whether gas leaks from each connecting part of the container. The air tightness detector detects the air tightness of the equipment through three steps of inflating, maintaining pressure and measuring leakage rate of the equipment, and for the same equipment, under corresponding inflation and pressure maintaining parameters, a leakage rate threshold value is set to judge whether the equipment meets the air tightness.

The method aims to solve the problems that in the prior art, the watertightness of a water path in the equipment is detected by adopting a mode of injecting water into the water path in the equipment, so that residual test water exists in the water path in the equipment, and the detection efficiency is low due to the fact that the method needs to be long in observation time after water injection. The inventor of the application provides a method for detecting the water tightness of a water path in equipment by adopting an air tightness detection method.

However, the gas leaking device does not necessarily leak water due to the difference in the chemical and physical properties of the gas molecules and the water molecules. The problem of low accuracy of water tightness detection of a water channel in equipment due to direct use of an air tightness detection method is solved, and therefore, long-term research by the inventor of the application finds that air tightness detection parameters need to be adjusted, so that the adjusted detection parameters can effectively distinguish equipment which leaks air but does not leak water or leaks water.

The following is a detailed description of the water tightness detection in the device provided in the embodiments of the present application. It is understood that the main implementation of the method for detecting the water tightness in the device may be an air tightness detecting device including a classification model.

Fig. 1 is a schematic flow chart of a method for detecting tightness of a water path in equipment according to an embodiment of the present application, and as shown in fig. 1, the method includes:

step 101: and acquiring detection parameters for detecting the air tightness of the water channel in the equipment to be detected.

Wherein, the detection parameter refers to the parameter used when the water route carries out the gas tightness detection in the equipment that awaits measuring, and it can include: inflation pressure, pressure maintaining time, measuring time and the like. It is understood that the detection parameter is determined by detecting a small portion of the equipment by using a combination of water tightness detection and air tightness detection, and the specific detection method is described in the following examples.

Step 102: and carrying out air tightness detection on the water channel in the equipment by using the detection parameters to obtain a detection result of the water channel in the equipment, wherein the detection result comprises actual inflation pressure and leakage rate.

The detection equipment utilizes the predetermined detection parameters to carry out air tightness detection on the water channel in the equipment, specifically, the equipment can be inflated by adopting the predetermined inflation pressure towards the water channel in the equipment, the preset pressure maintaining time is used for maintaining the pressure, so that the gas pressure in the water channel in the equipment is kept in a stable state, after the pressure maintaining is finished, the gas pressure in the water channel in the equipment can be collected once, the gas pressure in the water channel in the equipment is collected once again after the time length to be measured is prolonged, and the leakage rate is obtained by calculating according to the gas pressure collected twice. In addition, because the inflation pressure set in the air tightness detection device is deviated from the actual inflation pressure in the water path filled in the device, in order to improve the detection accuracy, the embodiment of the application adopts the actual inflation pressure to perform distribution calculation. Therefore, the collected gas pressure of the water channel in the equipment can be used as the actual inflation pressure after the pressure maintaining is finished.

Step 103: inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model; the detection result is used for representing whether a waterway in the equipment leaks water or not;

It is understood that the classification model may be a support vector machine, a decision tree, naive bayes, or the like. And the classification model is obtained by determining the label of the equipment sample by using a water tightness detection method, detecting the equipment sample by using an air tightness detection method, obtaining the leakage rate and the actual inflation pressure of the equipment sample, and performing model training by using the leakage rate and the actual inflation pressure as well as the label of whether the equipment sample leaks water.

And after the classification model is obtained, inputting the leakage rate and the actual inflation pressure of the water channel in the equipment to be detected into the classification model, and obtaining a detection result output by the classification model. It can be understood that the classification model may output a probability value of water leakage in the device under test, and determine whether water leakage occurs according to the probability.

On the basis of the above embodiment, acquiring the detection parameter for performing the airtightness detection on the water path in the device to be detected includes:

In a specific implementation process, the air tightness detection parameters comprise inflation pressure, pressure maintaining time and measuring time, and each parameter can be set in a parameter range according to actual conditions, so that preset number of parameter values can be selected from the parameter range corresponding to each parameter, and multiple sets of initially selected air tightness parameters can be obtained in a combined manner.

And performing air tightness detection on the equipment sample by utilizing each initial air tightness parameter, so that the distribution of qualified equipment samples on the leakage rate and the actual inflation pressure and the distribution of unqualified equipment samples on the leakage rate and the actual inflation pressure can be obtained. Based on the distribution, the distribution difference between the qualified equipment sample and the unqualified equipment sample under each primary selection airtightness parameter can be calculated. And determining a group of more preferable detection parameters from the initially selected airtightness parameters according to the distribution difference.

It is understood that, when calculating the distribution difference, the distribution difference between the qualified device sample and the unqualified device sample under the same primary airtightness parameter can be calculated by using methods such as maximum mean difference (maximum mean difference), wasserstein Distance, or Kullback-Leibler divergence.

The smaller the distribution difference is, the smaller the difference in the performance of the qualified device sample and the unqualified device sample in gas leakage is when the corresponding initially selected gas tightness parameter is used for performing gas filling test on the device sample, that is, the water-leaking device sample and the water-leaking device sample cannot be well distinguished by the leakage rate. The larger the distribution difference is, the larger the difference is in the leakage rate between the water-leaking equipment sample and the water-tight equipment sample when the corresponding initially-selected air-tightness parameters are used for air-tightness detection, and the qualified equipment sample can be better distinguished from the unqualified equipment sample. When the preferable detection parameter is determined from the preliminary selection airtightness parameters, the preliminary selection airtightness parameter with the largest distribution difference may be used as the detection parameter.

In another embodiment, in determining the initial hermeticity parameter, multiple sets of initial hermeticity parameters may be determined by way of an orthogonal test. The orthogonal test design method is a method for arranging tests and performing data analysis by using an already-built table, namely an orthogonal table. The number of occurrences of different numbers in each column in the orthogonal table is equal, and in any two columns, two numbers in the same row are considered to be ordered pairs of numbers, and the number of occurrences of each pair of numbers is equal. The calculation workload can be greatly reduced by the orthogonal experiment mode.

It should be noted that, when determining the initial air-tightness parameters, values of the inflation pressure, the pressure maintaining time and the measurement time within respective ranges may be arranged and combined to obtain a plurality of initial air-tightness parameters after arrangement and combination.

According to the embodiment of the application, the initially selected air tightness parameter with the largest distribution difference is used as the detection parameter, so that the accuracy of distinguishing the water paths in the equipment which leaks air but does not leak water and leaks air and water is improved.

On the basis of the foregoing embodiment, fig. 2 is a schematic flow diagram of a model training method provided in the embodiment of the present application, and as shown in fig. 2, the method includes:

step 201: performing water tightness detection on the equipment sample; a batch of equipment to be detected is selected as an equipment sample, and water tightness detection is carried out on the equipment to be detected by utilizing a traditional water tightness detection method. Specifically, the traditional water tightness detection method can be a water injection method, specifically, water can be injected into an inner water path of the equipment sample, timing is started after the water pressure is increased to the test pressure, water is timely supplemented into the inner water path of the equipment sample when the pressure is reduced, the whole test duration is not less than 2 hours, the test duration and the supplemented water amount are recorded, and the supplemented water amount is the permeation amount of the inner water path. And determining qualified equipment samples and unqualified equipment samples according to the permeation amount.

Step 202: determining detection parameters of a preferred air tightness detection method; firstly, the inflation pressure, the pressure maintaining time and the measurement time have respective value ranges, and the specific value of each factor in the respective value range can be selected according to the actual situation, for example: if the value range of the inflation pressure is 1-5, selecting 3 values in the range, and then selecting 1, 3 and 5; if the pressure maintaining time is 30 seconds to 2 minutes, selecting 4 values in the range, and selecting 30 seconds, 1 minute, 30 seconds and 2 minutes; if the measurement time is in the range of 1 minute to 2 minutes, and 3 values are selected in this range, 1 minute 30 seconds, and 2 minutes may be selected. And determining a plurality of initially selected air tightness parameters based on an orthogonal test mode. And calculating the leakage rate and the actual inflation pressure respectively corresponding to the qualified equipment samples and calculating the leakage rate and the actual inflation pressure respectively corresponding to the unqualified equipment samples according to each primarily selected air tightness parameter. Respectively fitting the corresponding leakage rate and actual inflation pressure of the qualified equipment samples into a distribution, respectively fitting the corresponding leakage rate and actual inflation pressure of the unqualified equipment samples into a distribution, and calculating the distribution difference between the two distributions. And taking the initial air tightness parameter with the maximum distribution difference as a detection parameter.

Step 203: and performing model training by using the air tightness detection result of the equipment sample and the corresponding label. Inputting the air tightness detection results of the equipment samples corresponding to the detection parameters, namely the leakage rate and the actual inflation pressure, into the model to be trained to obtain a predicted value output by the model to be trained, and optimizing the parameters in the model to be trained according to the predicted value and the labels (qualified or unqualified) corresponding to the equipment samples until the loss function of the model to be trained tends to be stable or the iteration times reach the preset times.

On the basis of the above embodiment, the performing, by using the detection parameter, the air tightness detection on the water path in the device to obtain the detection result of the water path in the device includes:

In a specific implementation process, due to the fact that the inflation pressure arranged on the air tightness detection device is deviated from the pressure actually filled into the device internal waterway, in order to improve the accuracy of detection of the device internal waterway, the actual inflation pressure in the device internal waterway can be detected through the air tightness detection device.

The leakage rate is output by detection and calculation of the air tightness detection equipment, and the specific calculation method comprises the following steps: after the preset inflation pressure is filled into the equipment inner waterway, pressure maintaining is carried out according to the pressure maintaining time length, after the pressure maintaining is completed, the actual inflation pressure of the equipment inner waterway is collected, after the measuring time is passed, the residual pressure of the equipment inner waterway is collected again, and the leakage rate is obtained through calculation according to the actual inflation pressure and the residual pressure.

The detection duration of the embodiment of the application mainly comprises inflation duration, pressure maintaining duration and measurement duration, and the duration is shorter for air tightness detection. In the actual test process, the time required by the whole process is about one minute, and compared with dozens of minutes for observing a water leakage method, the detection efficiency is greatly improved. In addition, the detection result of this application utilizes classification model to carry out the analysis to actual inflation pressure and leakage rate and reachs, compares in the method of whether artifical naked eye observation bubble, and the accuracy is higher, and whole testing process all has data record moreover, and the result is traceed back more easily.

Fig. 3 is a schematic structural diagram of a device for detecting water tightness in an apparatus according to an embodiment of the present application, where the device may be a module, a program segment, or a code on an electronic apparatus. It should be understood that the apparatus corresponds to the above-mentioned embodiment of the method of fig. 1, and can perform various steps related to the embodiment of the method of fig. 1, and the specific functions of the apparatus can be referred to the description above, and the detailed description is appropriately omitted here to avoid redundancy. The device comprises: a parameter obtaining module 301, a detecting module 302 and a classifying module 303, wherein:

the parameter obtaining module 301 is configured to obtain a detection parameter for performing air tightness detection on a water path in the device to be detected;

the detection module 302 is configured to perform air tightness detection on the water channel in the equipment by using the detection parameters, and obtain a detection result of the water channel in the equipment, where the detection result includes an actual inflation pressure and a leakage rate;

the classification module 303 is configured to input the actual inflation pressure and the leakage rate into a classification model trained in advance, and obtain a detection result output by the classification model; the detection result is used for representing whether a water channel in the equipment leaks water or not;

On the basis of the foregoing embodiment, the parameter obtaining module 301 is specifically configured to:

On the basis of the above embodiment, the apparatus further includes a model training module configured to:

On the basis of the foregoing embodiment, the detection module 302 is specifically configured to:

Fig. 4 is a schematic structural diagram of an entity of an electronic device provided in an embodiment of the present application, and as shown in fig. 4, the electronic device includes: a processor (processor) 401, a memory (memory) 402, and a bus 403; wherein the content of the first and second substances,

the processor 401 and the memory 402 complete communication with each other through the bus 403;

the processor 401 is configured to call the program instructions in the memory 402 to execute the methods provided by the above-mentioned method embodiments, for example, including: acquiring detection parameters for detecting the air tightness of a water channel in equipment to be detected; performing air tightness detection on the water channel in the equipment by using the detection parameters to obtain a detection result of the water channel in the equipment, wherein the detection result comprises actual inflation pressure and leakage rate; inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model; the detection result is used for representing whether a water channel in the equipment leaks water or not; the classification model is obtained by training a model to be trained based on the equipment sample by combining a water tightness detection method and an air tightness detection method.

The processor 401 may be an integrated circuit chip having signal processing capabilities. The Processor 401 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. Which may implement or perform the various methods, steps, and logic blocks disclosed in embodiments of the present application. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The Memory 402 may include, but is not limited to, random Access Memory (RAM), read Only Memory (ROM), programmable Read Only Memory (PROM), erasable Read Only Memory (EPROM), electrically Erasable Read Only Memory (EEPROM), and the like.

The present embodiment discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, comprising: acquiring detection parameters for detecting the air tightness of a water channel in equipment to be detected; performing air tightness detection on the water channel in the equipment by using the detection parameters to obtain a detection result of the water channel in the equipment, wherein the detection result comprises actual inflation pressure and leakage rate; inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model; the detection result is used for representing whether a waterway in the equipment leaks water or not; the classification model is obtained by training a model to be trained based on the equipment sample by combining a water tightness detection method and an air tightness detection method.

The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: acquiring detection parameters for performing air tightness detection on a water path in equipment to be detected; performing air tightness detection on the water channel in the equipment by using the detection parameters to obtain a detection result of the water channel in the equipment, wherein the detection result comprises actual inflation pressure and leakage rate; inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model; the detection result is used for representing whether a waterway in the equipment leaks water or not; the classification model is obtained by training a model to be trained based on the equipment sample by combining a water tightness detection method and an air tightness detection method.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.

The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like 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 path tightness in equipment is characterized by comprising the following steps:

inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model; the detection result is used for representing whether a water channel in the equipment leaks water or not;

2. The method according to claim 1, wherein the obtaining of the detection parameter for detecting the air tightness of the water path in the device to be detected comprises:

3. The method of claim 2, wherein determining the detection parameter from the preliminary election tightness parameters according to the distribution difference comprises:

4. The method of claim 2, further comprising:

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

5. The method of claim 2, wherein the step of performing the airtightness detection on the device sample by using the pre-selected airtightness parameters within the preset range comprises:

6. The method of claim 2, wherein the step of performing airtightness detection on the equipment sample by using the preliminarily selected airtightness parameters in the preset range to obtain the distribution difference between the leakage rate and the actual inflation pressure of the qualified equipment sample and the unqualified equipment sample comprises the following steps:

7. The method according to any one of claims 1 to 6, wherein the detecting the airtightness of the waterway in the equipment by using the detection parameters to obtain the detection result of the waterway in the equipment comprises:

inflating the water channel in the equipment by using predetermined inflation pressure, and measuring the actual inflation pressure of the water channel in the equipment after inflation is finished;

8. The utility model provides an equipment water route leakproofness detection device which characterized in that includes:

the classification module is used for inputting the actual inflation pressure and the leakage rate into a classification model trained in advance to obtain a detection result output by the classification model; the detection result is used for representing whether a water channel in the equipment leaks water or not;

9. An electronic device, comprising: a processor, a memory, and a bus, wherein,

the processor and the memory are communicated with each other through the bus;

the memory stores program instructions executable by the processor, the program instructions being invoked by the processor to perform the method of any of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions which, when executed by a computer, cause the computer to perform the method of any one of claims 1-7.