Water purifier detection method and water purifier detection system

Abstract

The invention relates to a water purifier detection method and a water purifier detection system. The system comprises an environment simulation module and a detection module, the method comprises the following steps: acquiring simulation environment data, and generating a corresponding simulation environment through the environment simulation module; detecting a target water sample through the detection module to obtain target detection data; wherein the target water sample is a water sample obtained after all wading parts of a target water purifier are soaked in the simulation environment; under the condition that the difference degree between the target detection data and reference detection data is smaller than a preset threshold value, the wading part corresponding to the target detection data is determined as an odor source part, and the reference detection data is detection data of a water sample in the water purifier generating odor. According to the method, a real use scene is simulated, and the water sample soaked in the wading part of the water purifier is detected, so that the peculiar smell source part is traced, and optimization and after-sales cost reduction before delivery are facilitated, and the user experience is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of equipment detection, and in particular to a water purifier detection method and a water purifier detection system. Background Art

[0002] At present, the taste of the water output is not verified during factory inspection. When the water purifier is actually used, it will produce odor due to the harsh environment such as high temperature and high humidity. The traditional solution to the odor problem is to replace the filter element silicone tube or return the whole machine, but this method cannot effectively solve the odor problem, resulting in high after-sales economic costs. Summary of the invention

[0003] In order to solve at least one of the technical problems mentioned above, the present disclosure proposes a water purifier detection method and a water purifier detection system.

[0004] According to some embodiments of the present disclosure, a water purifier detection method is provided, which is applied to a water purifier detection system, wherein the system includes an environment simulation module and a detection module; the method includes: acquiring simulated environment data, generating a corresponding simulated environment through the environment simulation module; detecting a target water sample through the detection module to obtain target detection data; wherein the target water sample is a water sample obtained by immersing all water-related components of the target water purifier in the simulated environment; when the difference between the target detection data and the reference detection data is less than a preset threshold, the water-related component corresponding to the target detection data is determined as an odor source component, and the reference detection data is detection data of a water sample in a water purifier that produces an odor.

[0005] Based on the above scheme, by simulating the real usage scenario, the odor of the water output of the water purifier is stimulated, and the water samples treated by immersion of the water-related components of the water purifier are tested, so as to trace the source components of the odor that affects the taste of the water output of the water purifier, so as to facilitate optimization before leaving the factory, reduce after-sales costs, and improve user experience.

[0006] In some possible implementations, after the water-related component corresponding to the target data is determined as the odor source component, the method further includes: after the optimization of the odor source component is completed and the optimized odor source component is installed in the target water purifier, controlling the target water purifier to maintain an immersed state for a preset period of time in the simulated environment; detecting the immersed water sample of the target water purifier through the detection module to obtain verification data; and saving the optimization conditions when the verification data meets the standard water sample data range.

[0007] Based on the above scheme, after optimizing the odor source components, the odor source components were installed into the water purifier again, and the working conditions of the water purifier being immersed for a long time were simulated to verify whether the optimization effect met the standards.

[0008] In some possible embodiments, the simulated environment data is determined based on the following method: obtaining first temperature data to determine a target ambient temperature, the first temperature data characterizing a temperature range of an environment in which a water purifier producing an odor is located, and the target ambient temperature is the ambient temperature of the simulated environment; obtaining second temperature data to determine a target local temperature, the second temperature data characterizing a temperature range of an outer casing of a water purifier producing an odor, and the target local temperature is the temperature at a location where the target water purifier is placed in the simulated environment; obtaining a humidity range of an environment in which a water purifier producing an odor is located, and determining a target ambient humidity, the target ambient humidity is the ambient humidity of the simulated environment; obtaining the simulated environment data based on the target ambient temperature, the target local temperature and the target ambient humidity.

[0009] Based on the above scheme, the simulated environmental data is determined from the ambient temperature, ambient humidity and shell temperature of the water purifier that produces the odor, so that the generated simulated environmental temperature and humidity are more in line with the actual usage scenario, which is convenient for stimulating the odor of the water purifier.

[0010] In some possible embodiments, the environmental simulation module includes an environmental chamber, a cabinet and a temperature and humidity controller. The cabinet is arranged in the environmental chamber, and the cabinet is used to place the target water purifier. The corresponding simulation environment is generated by the environmental simulation module, including: adjusting the temperature of the environmental chamber to the target environmental temperature, adjusting the humidity of the environmental chamber to the target environmental humidity, and adjusting the temperature of the cabinet to the target local temperature through the temperature and humidity controller.

[0011] Based on the above solution, by setting up an environmental chamber, cabinets and temperature and humidity controllers, the simulated environment of the water purifier is made close to the actual kitchen scene, thereby improving the authenticity of the simulation.

[0012] In some possible embodiments, the detection module includes at least one taste sensor and at least one gas sensor, any of the taste sensors corresponds to a taste type, and any of the gas sensors corresponds to an odor type. The detection of the target water sample by the detection module to obtain target detection data includes: matching the detection result of the taste sensor with a preset taste index to obtain a target taste result, wherein the target taste result includes multiple taste parameters, and each taste parameter corresponds to a taste type; matching the detection result of the odor sensor with a preset odor index to obtain a target odor result, wherein the target odor result includes multiple odor parameters, and each odor parameter corresponds to an odor type.

[0013] Based on the above scheme, the detection module including multiple taste sensors and multiple gas sensors can analyze and detect taste and odor from a multi-dimensional perspective, improve the accuracy of water sample detection, help to accurately determine the source of odor and avoid misdetection.

[0014] In some possible implementations, the degree of difference between the target detection data and the reference detection data is confirmed based on the following method: when a reference taste result and a reference odor result are determined based on the reference detection data, a first Euclidean distance between the target taste result and the reference taste result, and a second Euclidean distance between the target odor result and the reference odor result are determined respectively; based on the first Euclidean distance and the second Euclidean distance, the degree of difference is determined.

[0015] Based on the above scheme, the difference in taste results and the difference in odor results are determined separately through the Euclidean distance analysis method, and then the final degree of difference is determined by combining the two Euclidean distances, so as to accurately trace the source components of the odor.

[0016] In some possible implementations, before the water-related components of the target water purifier are immersed in the simulated environment, the method further includes: cutting the water-related components by high-pressure pure water to obtain a plurality of cut components, and the size of any of the cut components is smaller than a preset size.

[0017] Based on the above scheme, water-related parts are cut by high-pressure pure water, and then the cut water-related parts are immersed in a simulated environment to further stimulate the odor of the parts, which is then compared with the odor data obtained, which helps to eliminate non-odor source parts.

[0018] In some possible implementations, before the optimized odor source component is installed into the target water purifier, the method includes: cutting the optimized odor source component with high-pressure pure water, and immersing the cut odor source component in the simulated environment, and then detecting the obtained water sample with the detection module to obtain optimized detection data; when the optimized detection data is within the standard water sample data range, it is determined that the optimization of the odor source component is completed.

[0019] Based on the above scheme, after optimizing the odor source components, they are cut and soaked in sequence, and then the water samples obtained after treatment are tested. When it is determined that the water samples meet the standards, the optimization of the odor source components is determined to be completed, so that pre-verification is performed before the whole machine is reinstalled, reducing the frequency of whole machine verification, increasing the speed of water purifier testing, and reducing costs.

[0020] In some possible implementations, the method further includes: when the verification data does not conform to the standard water sample data range, obtaining a new preset threshold, determining a new odor source component, and optimizing it.

[0021] Based on the above scheme, when the odor source component is optimized but the whole machine verification fails, a new preset threshold is obtained, and then a new odor source component is determined, and the steps of detection optimization and verification are repeated.

[0022] According to some other embodiments of the present disclosure, a water purifier detection system is provided, which applies a water purifier detection method as described in any one of the above embodiments, and the system includes: an environmental simulation module, including an environmental chamber, a cabinet and a temperature and humidity controller, the cabinet is arranged in the environmental chamber, the cabinet is used to place the water purifier to be detected, and the temperature and humidity controller is used to adjust the temperature and humidity of the environmental chamber and the temperature of the cabinet; a detection module, including at least one taste sensor and at least one gas sensor, any of the taste sensors corresponds to a taste type, and any of the gas sensors corresponds to an odor type; a control module, respectively connected to the environmental simulation module and the detection module.

[0023] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

[0024] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions and advantages in the embodiments of this specification or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 A flow chart showing the steps of a water purifier detection method according to an embodiment of the present disclosure;

[0027] Figure 2 A configuration diagram showing a preset taste index according to an embodiment of the present disclosure;

[0028] Figure 3 A flowchart showing the steps of whole machine verification according to an embodiment of the present disclosure is shown;

[0029] Figure 4 A flowchart showing the steps of optimizing and verifying the odor source component according to an embodiment of the present disclosure is shown;

[0030] Figure 5 A system block diagram of a water purifier detection system according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0033] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0034] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0035] The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C can represent including any one or more elements selected from the set consisting of A, B, and C.

[0036] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.

[0037] Unless otherwise specified, the direction "front" in this article refers to the direction in which the range hood faces the user, and the direction "rear" refers to the direction in which the range hood faces away from the user. Other directions are determined based on the above-mentioned front and rear directions.

[0038] At present, the taste of the water output of water purifiers is not verified during factory inspection. However, the water purifiers leaving the factory will produce odors during actual use due to harsh environments such as high temperature and high humidity. For example, in hot seasons, especially the high temperature and high humidity season of the plum rain season, after-sales feedback shows that the water output of the water purifiers has many odors (foul smell, plastic smell, pungent smell, rubber smell, etc.), and the odor seriously affects the user experience of using the water purifier.

[0039] The traditional solution to the odor problem is to replace the filter silicone tube or return the whole machine, but this method cannot effectively solve the odor problem, resulting in high after-sales economic costs. Since water purifier manufacturers lack methods and devices to simulate users' actual usage scenarios during the R&D stage to verify whether the water output of the water purifier has odor, it is also difficult to prevent it in advance.

[0040] In order to solve the above-mentioned technical problems, an embodiment of the present invention provides a water purifier detection method, which is applied in a water purifier detection system, which at least includes an environmental simulation module and a detection module. The water purifier detection system can simulate the real water purifier usage scenario through the environmental simulation module, thereby stimulating the odor source of the water purifier, and then detect the treated water samples of the water purifier and its components through the detection module, so that the components that produce odor can be locked and optimized in the R&D testing stage or the factory inspection stage, thereby reducing after-sales costs and improving user experience.

[0041] Figure 1 A flow chart showing the steps of a water purifier detection method according to an embodiment of the present disclosure is shown as follows: Figure 1 As shown, the above method includes:

[0042] Step S101: Acquire simulation environment data, and generate a corresponding simulation environment through an environment simulation module.

[0043] The embodiments of the present disclosure do not limit the method for obtaining the simulated environment data. The simulated environment data may be actually collected environment data or data obtained based on theoretical calculations.

[0044] In some possible embodiments, based on the above content, it can be known that the seasons for complaints about odors from water purifiers are concentrated in high temperature and high humidity seasons, such as the rainy season, so the corresponding seasonal data can be obtained. For example, high temperature data from cities across the country for the past 10 years are collected and entered into a database, and the range of high temperature is determined through intelligent algorithms or statistical programs. For example, high temperature is defined as an ambient temperature above 30°C. After collecting high temperature data from cities across the country for the past 10 years, the high temperature range in the past 10 years is 30°C to 48°C, and temperature data within this range is selected as simulated environmental data.

[0045] In some possible embodiments, temperature data can also be determined based on the water purifier odor complaint information. Specifically, a communication module can be set in the water purifier detection system, and the communication module can be connected to a server. The server is used to obtain and store the user's complaint time and complaint content, obtain the above complaint information from the server through the communication module, and determine the time period when the complaint frequency is higher than the specified value, and then obtain the weather information of each complaint information source city in the time period, and then obtain the temperature data.

[0046] In addition, the disclosed embodiments do not limit the dimensions of the simulated environmental data. In addition to the above-mentioned temperature data, the simulated environmental data may also include humidity data. Similarly, corresponding to the above-mentioned embodiments, the air humidity during the rainy season, the return of the south wind, and continuous rain can be directly collected and entered into the database, and the range of high humidity can be determined through intelligent algorithms or statistical programs. Alternatively, the weather information of the complaint information source city during the time period when the complaint frequency is higher than the specified data can be determined based on the complaint information, and then the humidity data can be obtained.

[0047] It should be understood that the more accurate the simulated environment data is, the closer the generated simulated environment is to the actual usage scenario, which also helps to accurately trace the source components that produce the odor. In order to achieve the above purpose, in a specific embodiment, the simulated environment data includes three dimensions: ambient temperature, ambient humidity and local temperature. Among them, the ambient temperature refers to the temperature of the environment in which the water purifier that produces the odor is located, the ambient humidity refers to the humidity of the environment in which the water purifier that produces the odor is located, and the local temperature refers to the temperature at the location where the water purifier that produces the odor is placed. By setting these three dimensions of data, the harsh usage scenario of the water purifier can be accurately simulated, that is, the water purifier is set in a wooden cabinet, and other kitchen appliances (such as a dishwasher, oven, etc.) are installed in the wooden cabinet, and the water purifier can only be placed in an empty position.

[0048] Based on the above configuration, in a specific implementation, the simulation environment data is determined based on the following method:

[0049] Acquire first temperature data and determine a target ambient temperature, wherein the first temperature data represents a temperature range of an environment in which the water purifier generating the odor is located, and the target ambient temperature is an ambient temperature of a simulated environment;

[0050] Acquire second temperature data to determine a target local temperature, where the second temperature data represents a temperature range of a housing of a water purifier that produces odor, and the target local temperature is a temperature at a location where the target water purifier is placed in a simulated environment;

[0051] Obtaining the humidity range of the environment in which the water purifier generating the odor is located, and determining the target environmental humidity, where the target environmental humidity is the environmental humidity of the simulated environment;

[0052] Based on the target environmental temperature, the target environmental humidity and the target local temperature, simulated environmental data are obtained.

[0053] In this embodiment, the first temperature data and humidity range can be directly collected or obtained according to the calculation method in the above embodiment, and there is no restriction on this, while the second temperature data is directly measured from the water purifier housing. It is worth noting that the above-mentioned first temperature data, second temperature data and humidity data are all data ranges, and the simulated environment data can be a data range or a specific set of parameter values, which the tester can flexibly adjust according to the actual test situation. In other words, the boundary value, median value, average value and other numerical points in the data range can be selected as the simulated environment data, so that the source component of the odor can be quickly determined in one or a few tests, or the data range can be retained. In actual testing, the value of the simulated environment data is continuously adjusted to accurately determine the source component of the odor in multiple tests.

[0054] Based on the simulated environmental data including three dimensions in the above embodiment, the environmental simulation module is set accordingly. Specifically, the environmental simulation module includes an environmental box, a cabinet and a temperature and humidity controller. The environmental box is equipped with environmental generation equipment such as a humidifier, a heater, and a dehumidifier. The temperature and humidity controller is connected to the above environmental generation equipment. The cabinet is set in the environmental box. The cabinet is used to place the target water purifier. Through the temperature and humidity controller, the temperature of the environmental box is adjusted to the target environmental temperature, the humidity of the environmental box is adjusted to the target environmental humidity, and then the temperature of the cabinet is adjusted to the target local temperature, so that a simulated environment corresponding to the simulated environmental data can be obtained. It should be understood that in the above environmental simulation module, a sink dishwasher can be installed in the cabinet, and the target water purifier can be installed in the empty position at the bottom of the dishwasher. During the test, the dishwasher and the water purifier are controlled to run multiple cycles, so as to obtain a more realistic simulation effect.

[0055] Step S102, detecting the target water sample through the detection module to obtain target detection data; wherein the target water sample is a water sample after all water-related components of the target water purifier are immersed in a simulated environment.

[0056] In the disclosed embodiment, the target water purifier is the water purifier to be tested, and the water-related parts are parts that are contacted by water flow, that is, parts of the water system in the target water purifier, for example, including but not limited to filter bottles, filter element assemblies, pressure barrels, ultraviolet lamps, waterway boards, PE pipes, water tanks, silicone tubes, faucets, pipe connectors, etc. During the soaking treatment, the water-related parts need to be removed one by one, and then each water-related part is placed in a soaking container after high-temperature sterilization, and test water (primary test water or secondary test water) is injected to ensure that there is no interference from impurities and odors during the soaking treatment. When the soaking container is an open container, such as a glass beaker, the soaking container also needs to be sealed, sealed with kraft paper or plastic wrap, and further avoid interference from the external environment. In this embodiment, the soaking treatment is to stimulate the odor of the water-related parts so as to facilitate comparison with the odor data of the complaint feedback, so the soaking time should be as large as possible, for example, the soaking time can be selected from 24h to 168h, preferably, a soaking time of 24h can be used. After the soaking treatment is completed, the target water sample needs to be cooled to room temperature and then sent to the detection module for detection to obtain target detection data. Furthermore, two target water samples can be set for the same water-related component. One target water sample is directly sent to the detection module for detection after the soaking treatment is completed, and the other target water sample is sent to the detection module for detection after cooling to room temperature, thereby forming a control group to avoid detection limitations.

[0057] In some possible embodiments, some water-related components are large in size and volume, and cannot fully contact the test water during the soaking treatment, which leads to inaccurate target detection data of the target water sample. Therefore, before the soaking treatment, some or all of the water-related components can also be cut. Specifically, before the water-related components of the target water purifier are soaked in the simulated environment, the method also includes: cutting the water-related components by high-pressure pure water to obtain a number of cut components, and the size of any cut component is smaller than the preset size. In the above scheme, high-pressure pure water cutting is achieved by high-pressure water cutting equipment. Correspondingly, the system includes high-pressure water cutting equipment, a mechanical arm and ultraviolet sterilization equipment. The ultraviolet sterilization equipment is used to sterilize and disinfect the high-pressure water cutting equipment, the mechanical arm and the water-related components. The cutting step includes: controlling the mechanical arm to place the sterilized water-related components into the sterilized high-pressure water cutting equipment, and then the nozzle of the high-pressure water cutting equipment sprays high-pressure pure water to cut the water-related components into several small-sized components according to the material. For example, the nanofiltration membrane assembly is cut into: hollow membrane filaments, ABS plastic shells, PP plastic shells, epoxy resins, water-stop rubber belts, and sealing belts. After cutting is completed, the nozzle of the high-pressure water cutting equipment sprays test water to clean the inside and outside of the cut parts. Finally, the robot is controlled to place the cleaned small-sized parts into the disinfected and sterilized immersion containers, and then the immersion containers are clamped and sent into the environmental chamber.

[0058] Step S103: When the difference between the target detection data and the reference detection data is less than a preset threshold, the water-related component corresponding to the target detection data is determined as the odor source component, and the reference detection data is the detection data of the water sample in the water purifier that produces the odor.

[0059] In the disclosed embodiment, the reference detection data is the detection data of the water sample in the water purifier that produces the odor. The reference detection data can be accurately acquired based on the following method: when receiving feedback from the user that the water output of the water purifier has an odor, the water inlet, water purification outlet and drain outlet of the water purifier that produces the odor are sealed with clean and sterile plugs that have been disinfected and sterilized, and then the water purifier is moved to an evaluation environment, and the odorous water sample inside the water purifier is discharged into a disinfected container using colorless, odorless and water-insoluble high-pressure gas (0.4MPa) or high-pressure nitrogen (0.4MPa), and then the odorous water sample is detected by the detection module to obtain the above-mentioned reference detection data.

[0060] This embodiment determines the source component of the odor produced by the water purifier by comparing the difference between the target detection data and the reference detection data. This embodiment does not limit the number of odor source components, that is, there can be multiple odor source components, that is, the joint action of multiple water-related components causes the odor to be produced in the water purifier, or, there can be only one odor source component, that is, by setting the size of a preset threshold, the water-related component corresponding to the target detection data closest to the reference detection data is determined as the odor source component, to facilitate subsequent processing.

[0061] It should be understood that in the detection method of this embodiment, whether the odor source component can be accurately identified depends on the setting of the detection module. In order to reduce the possibility of misdetection and misjudgment, in the embodiment of the present disclosure, the detection module includes at least one taste sensor and at least one gas sensor. Any taste sensor corresponds to a taste type, and any gas sensor corresponds to an odor type. Multiple taste sensors can be used to achieve multi-dimensional measurement of the taste of water samples. Similarly, multiple gas sensors can also achieve multi-dimensional measurement of the odor of water samples, which helps to accurately trace the source components of the odor.

[0062] Based on the above detection module, in step S102, the target water sample is detected by the detection module to obtain target detection data, including:

[0063] Matching the detection result of the taste sensor with the preset taste index to obtain a target taste result, where the target taste result includes multiple taste parameters, each of which corresponds to a taste type;

[0064] The detection result of the gas sensor is matched with the preset odor index to obtain a target odor result, which includes multiple odor parameters, each of which corresponds to an odor type.

[0065] In a specific embodiment, the detection module is provided with eight groups of taste sensors and five groups of gas sensors. Figure 2 The eight groups of taste sensors correspond to the taste types of "hard, soft, astringent, sour, sweet, bitter, salty, and fresh", and each type has a grade arrangement, for example: none, faint, weak, obvious, strong, very strong, and intense. The above taste types and grade arrangements are configured to obtain the above preset taste indicators.

[0066] Furthermore, the configuration may adopt the following method: according to the detection range of the taste sensor, the detection range is divided into multiple range segments, each range segment corresponds to a level arrangement, and each level corresponds to a specific taste parameter. For example, the detection range of a group of taste sensors is 0-70, and the range of 0-10 corresponds to the level "none", and the taste parameter of the level "none" is 0; the range of 10-20 corresponds to the level "weak", and the taste parameter of the level "weak" is 1; the range of 20-30 corresponds to the level "weak", and the taste parameter of the level "weak" is 2; and so on, the range of 60-70 corresponds to the level "strong", and the taste parameter of the level "strong" is 7, and the configuration is completed. Based on the above preset taste indicators, the specific matching process includes: obtaining the detection signal value {x 1 、x 2 、x 3 、x 4 、x 5、x 6 、x 7 、x 8}, and then determine the target taste result {X 1 , X 2 , X 3 , X 4 , X 5 , X 6 , X 7 , X 8}.

[0067] Correspondingly, the five groups of gas sensors can correspond to the odor types of "stench, pungent, rubber, plastic, and chemical", and each type has a hierarchical arrangement, for example: none, faint, weak, obvious, strong, very strong, and intense. The above odor types and hierarchical arrangements are configured to obtain the above preset odor indicators. The configuration and matching process is the same as above, so this embodiment will not be elaborated in detail. It should be understood that the configuration of the preset taste indicators and preset odor indicators in the above embodiments is only an exemplary scheme, and its purpose is to reduce the difficulty of taste and odor analysis and improve the detection speed and detection accuracy. The tester can flexibly adjust according to the actual model of the water purifier and the results of the actual test module.

[0068] Furthermore, based on the above-mentioned water sample detection method, the difference between the target detection data and the reference detection data can be confirmed based on the following method:

[0069] When a reference taste result and a reference odor result are determined based on the reference detection data, a first Euclidean distance between the target taste result and the reference taste result, and a second Euclidean distance between the target odor result and the reference odor result are determined respectively; and the above-mentioned difference degree is determined based on the first Euclidean distance and the second Euclidean distance.

[0070] In a specific embodiment, the reference taste result is {X 10 , X 20 , X 30 , X 40 , X 50 , X 60 , X 70 , X 80}, the reference odor result is {Y 10 , Y 20 , Y 30 , Y 40 , Y 50 , Y 60 , Y 70 , Y 80}, the target taste result is {X 1 , X 2 , X 3, X 4 , X 5 , X 6 , X 7 , X 8}, the target odor result is {Y 1 , Y 2 , Y 3 , Y 4 , Y 5 , Y 6 , Y 7 , Y 8}, then the first Euclidean distance:

[0071]

[0072] Second Euclidean distance:

[0073]

[0074] Based on the above formula, the closer the target taste result is to the reference taste result, the closer the first Euclidean distance L 1 The smaller the value, the closer the target odor result is to the reference odor result, and the second Euclidean distance L 2 The smaller the value is, the target water sample closest to the water sample can be quickly determined based on the Euclidean distance judgment method, and the corresponding water-related component can be determined as the odor source component.

[0075] It is worth noting that the present embodiment does not limit the method for determining the difference degree. The difference degree can be directly represented by the first Euclidean distance and the second Euclidean distance, or can be based on the data processed by the first Euclidean distance and the second Euclidean distance. For example, the difference degree is defined as

[0076] The above-mentioned multiple embodiments have introduced in detail the detection method for identifying the odor source components that produce odor based on the comparison of the target detection data obtained from the detection of the target water sample and the reference detection data obtained from the detection of the odor water sample. This method can be applied to the factory test of the water purifier. After receiving odor feedback or odor complaints for the same model of water purifier, the reference detection data is obtained based on the measurement of the odor water sample, and then the factory detection strategy for the water purifier of the same model is adjusted, so as to identify the source of the odor before leaving the factory, and replace it in advance to solve the odor problem. In addition, this method can also be applied to the research and development stage of the water purifier, that is, to test the sample machine of the water purifier, soak each water-related component and then test the water sample, and compare it with the saved reference detection data to identify the source of the water odor, which is convenient for research and development optimization.

[0077] In some possible embodiments, please refer to Figure 3 After step S103, the method further includes:

[0078] Step S106: After the optimization of the odor source component is completed and the optimized odor source component is installed in the target water purifier, the target water purifier is controlled to maintain an immersion state in a simulated environment for a preset time period.

[0079] Step S107: Detect the immersion water sample of the target water purifier through the detection module to obtain verification data.

[0080] Step S108: When the verification data meets the standard water sample data range, the optimization conditions are saved.

[0081] Based on the above steps, after identifying the odor source components, the odor source components need to be optimized. This embodiment does not limit the optimization measures, that is, the materials can be optimized, that is, food-grade materials can be selected as water-related components of the water purifier, especially adhesives, silicones, rubbers, etc.; the structure can also be optimized, such as adding activated carbon adsorption to the purified water outlet of the water system of the water purifier, or wrapping a sealing package at the connection of the silicone tube to avoid the adsorption of external odors; the debugging method can also be optimized, such as optimizing the flushing method, thoroughly flushing the protective liquid and flushing the carbon powder during the first installation, reducing the protective liquid and carbon powder liquid residues that interfere with the taste, etc. After the optimization of the odor source components is completed, the odor source components are reinstalled into the target water purifier to verify again whether the water output of the target water purifier is normal.

[0082] In the disclosed embodiment, after loading the optimized odor source components, the water purifier needs to be placed in an environmental box simulating a kitchen. After connecting the water source and power supply according to the instructions and debugging and flushing, the power supply is cut off, the water supply is closed, the faucet is closed, and the water purifier is kept in a soaking window sill to simulate the state of no water and power outages. After reaching the preset time, the power supply and water supply are connected again, and the soaking water sample is obtained and tested to obtain verification data. If the verification data meets the standard water sample data range, it means that the optimization is effective and the optimization conditions are saved. Among them, the preset soaking time should be more than 24 hours.

[0083] In some possible embodiments, in addition to the above-mentioned immersion verification method, a water outlet verification method can also be used. Specifically, after loading the optimized odor source component, place the water purifier in an environmental box simulating a kitchen, connect the water source and power supply according to the instructions, debug and flush, and then turn off the faucet to simulate the interval flushing and drainage program set by the water purifier, and obtain and test the drainage water sample at the preset time interval to obtain verification data. Among them, the preset time interval can be selected to be configured as 24h, and the water outlet verification can be continuous for 1 to 7 days, preferably 3 days. It should be understood that the above-mentioned immersion verification and water outlet verification methods can be used in combination.

[0084] In some possible embodiments, before step S106, it is also necessary to detect whether the odor source component is optimized. Figure 4 Before the optimized odor source component is installed into the target water purifier, the method includes:

[0085] Step S104, cutting the optimized odor source component with high-pressure pure water, and immersing the cut odor source component in a simulated environment, and then testing the obtained water sample with a detection module to obtain optimized detection data.

[0086] Step S105: When the optimized detection data conforms to the standard water sample data range, it is determined that the optimization of the odor source component is completed.

[0087] Based on the above steps, the optimized odor source components are tested before the whole machine verification to ensure that the optimized odor source components will not stimulate odor in the simulated environment, and then reinstalled into the target water purifier, thereby reducing the frequency of disassembly and assembly of the water purifier, reducing the frequency of whole machine verification, increasing the speed of water purifier testing, and reducing costs.

[0088] Furthermore, the method disclosed herein also includes: when the verification data does not meet the standard water sample data range, obtaining a new preset threshold, determining a new odor source component and optimizing it. According to the above content, it can be seen that the optimized odor source component can meet the standard water sample data range after being tested in a water sample immersed in a simulated environment. On this basis, the whole machine verification is unqualified, that is, there are other sources that cause the odor, so it is necessary to adjust the preset threshold, determine a new odor source component, and repeat the above optimization steps.

[0089] Some embodiments of the present disclosure also provide a water purifier detection system, using a water purifier detection method as described in any of the above embodiments, please refer to Figure 5 , the system includes:

[0090] The environmental simulation module 100 includes an environmental chamber, a cabinet and a temperature and humidity controller. The cabinet is arranged in the environmental chamber, the cabinet is used to place the water purifier to be tested, and the temperature and humidity controller is used to adjust the temperature and humidity of the environmental chamber and the temperature of the cabinet;

[0091] The detection module 200 includes at least one taste sensor and at least one gas sensor, wherein any taste sensor corresponds to a taste type, and any gas sensor corresponds to a smell type;

[0092] The control module 300 is connected to the environment simulation module and the detection module respectively.

[0093] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A water purifier detection method, applied to a water purifier detection system, characterized in that: The system includes an environment simulation module and a detection module; the method includes: Acquire simulation environment data, and generate a corresponding simulation environment through the environment simulation module; The target water sample is detected by the detection module to obtain target detection data; wherein the target water sample is a water sample after all water-related components of the target water purifier are immersed in the simulated environment; When the difference between the target detection data and the reference detection data is less than a preset threshold, the water-related component corresponding to the target detection data is determined as the odor source component, and the reference detection data is the detection data of the water sample in the water purifier that produces the odor.

2. The method according to claim 1, characterized in that After determining the water-related component corresponding to the target data as an odor source component, the method further includes: When the odor source component is optimized and the optimized odor source component is installed in the target water purifier, controlling the target water purifier to maintain a preset time in an immersed state in the simulated environment; The detection module detects the immersion water sample of the target water purifier to obtain verification data; When the verification data conforms to the standard water sample data range, the optimization conditions are saved.

3. The method according to claim 1, characterized in that The simulated environment data is determined based on the following method: Acquire first temperature data to determine a target ambient temperature, wherein the first temperature data represents a temperature range of an environment in which the water purifier generating the odor is located, and the target ambient temperature is the ambient temperature of the simulated environment; Acquire second temperature data to determine a target local temperature, wherein the second temperature data represents a temperature range of a housing of a water purifier that produces odor, and the target local temperature is a temperature at a location where the target water purifier is placed in the simulated environment; Obtaining the humidity range of the environment in which the water purifier generating the odor is located, and determining a target environmental humidity, wherein the target environmental humidity is the environmental humidity of the simulated environment; The simulated environment data is obtained based on the target environment temperature, the target local temperature and the target environment humidity.

4. The method according to claim 3, characterized in that The environmental simulation module includes an environmental box, a cabinet and a temperature and humidity controller. The cabinet is arranged in the environmental box and is used to place the target water purifier. The corresponding simulation environment is generated by the environmental simulation module, including: By means of the temperature and humidity controller, the temperature of the environmental box is adjusted to the target environmental temperature, the humidity of the environmental box is adjusted to the target environmental humidity, and the temperature of the cabinet is adjusted to the target local temperature.

5. The method according to claim 1, characterized in that The detection module includes at least one taste sensor and at least one gas sensor, any of the taste sensors corresponds to a taste type, and any of the gas sensors corresponds to an odor type. The target water sample is detected by the detection module to obtain target detection data, including: Matching the detection result of the taste sensor with a preset taste index to obtain a target taste result, wherein the target taste result includes a plurality of taste parameters, each taste parameter corresponding to a taste type; The detection result of the odor sensor is matched with a preset odor index to obtain a target odor result, wherein the target odor result includes a plurality of odor parameters, and each odor parameter corresponds to an odor type.

6. The method according to claim 5, characterized in that The difference between the target detection data and the reference detection data is determined based on the following method: In the case where a reference taste result and a reference smell result are determined based on the reference detection data, respectively determining a first Euclidean distance between the target taste result and the reference taste result, and a second Euclidean distance between the target smell result and the reference smell result; The degree of difference is determined according to the first Euclidean distance and the second Euclidean distance.

7. The method according to claim 1, characterized in that Before the water-related components of the target water purifier are immersed in the simulated environment, the method further includes: The water-related components are cut by high-pressure pure water to obtain a plurality of cut components, and the size of any of the cut components is smaller than a preset size.

8. The method according to claim 2, characterized in that: Before the optimized odor source component is installed in the target water purifier, the method includes: The optimized odor source component is cut by high-pressure pure water, and the cut odor source component is immersed in the simulated environment, and then the obtained water sample is tested by the detection module to obtain optimized detection data; When the optimized detection data is within the standard water sample data range, it is determined that the optimization of the odor source component is completed.

9. The method according to claim 8, characterized in that The method further includes: when the verification data does not conform to the standard water sample data range, obtaining a new preset threshold, determining a new odor source component and optimizing it.

10. A water purifier detection system, characterized in that: A water purifier detection method according to any one of claims 1 to 9 is applied, wherein the system comprises: An environmental simulation module, comprising an environmental chamber, a cabinet and a temperature and humidity controller, wherein the cabinet is arranged in the environmental chamber, the cabinet is used to place the water purifier to be tested, and the temperature and humidity controller is used to adjust the temperature and humidity of the environmental chamber and the temperature of the cabinet; A detection module, comprising at least one taste sensor and at least one gas sensor, wherein any of the taste sensors corresponds to a taste type, and any of the gas sensors corresponds to a smell type; The control module is connected to the environment simulation module and the detection module respectively.

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