Patent Application
20250077733
The present application is based on and claims priority to Chinese Patent Application No. 202210602602.9, filed on May 30, 2022, which are hereby incorporated by reference in its entirety.
The present disclosure relates to the field of water softening device, and in particular, to a method and an apparatus for detecting performance of a water softening device, an electronic device, and a storage medium.
A water softener is a household appliance converting hard tap water into soft water, which can improve the quality of household water. Its principle is to exchange calcium ions and magnesium ions in the tap water with an exchange resin containing sodium cations, and absorb excess calcium ions and magnesium ions in the tap water to soften the tap water.
A water softening device needs to meet a performance condition when it leaves a factory. For example, a flow rate (pressure drop) of water in a flow line in the water softening device at a temperature must meet a specified requirement. In laboratory test environment, during development process of the water softener, a water temperature for testing and a temperature of test environment change with seasonal changes, which affects the flow rate of the water, and affects verification of the performance of the water softening device. The performance of the water softening device can only be verified and tested in case that a large amount of money is invested to control the water temperature to be within a range. In case that there is a lack of a temperature control device to control the water temperature, the performance of the water softening device cannot be completely and accurately verified.
The present disclosure aims to solve at least one of the problems existing in the related art. Therefore, the present disclosure provides a method for detecting performance of a water softening device, by which the performance of the water softening device can be completely and accurately verified without using a temperature control device.
The present disclosure further provides a device for detecting performance of a water softening device.
The present disclosure further provides an electronic device.
The present disclosure further provides a storage medium.
The present disclosure further provides a computer program product.
A method for detecting performance of a water softening device provided by an embodiment of the present disclosure includes:
According to the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, by obtaining the correspondence between the water temperature and the pressure drop of the target flow line, the corresponding target pressure drop can be matched for test environment at any temperature, and the performance of the flow line of the water softening device can be completely and accurately detected and verified.
According to an embodiment of the present disclosure, obtaining the correspondence between the water temperature and the pressure drop of the target flow line includes:
According to the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, the correspondence between the water temperature and the pressure drop of the target flow line is obtained by fitting a pre-stored standard temperature-pressure corresponding table, which can improve the accuracy of the obtained correspondence between the water temperature and the pressure drop of the target flow line, and the performance verification accuracy of the flow line of the water softening device is improved.
According to an embodiment of the present disclosure, obtaining the correspondence between the water temperature and the pressure drop of the target flow line by fitting the pre-stored temperature-pressure corresponding table of the target flow line includes:
According to the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, the linear regression equation of the water temperature and the pressure drop is obtained by calculating based on the reference water temperature and the corresponding reference pressure drop in the temperature-pressure corresponding table, and the linear regression equation is taken as the correspondence between the water temperature and the pressure drop of the target flow line, which further improves the performance verification accuracy of the flow line of the water softening device.
According to an embodiment of the present disclosure, determining the performance detection result based on the numerical relationship between the actual pressure drop and the target pressure drop includes:
According to the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, the pressure drop performance of the water softening device is determined to be unqualified in case that the actual pressure drop is far from the target pressure drop, which further improves the performance verification accuracy of the flow line of the water softening device.
According to an embodiment of the present disclosure, after determining the performance detection result based on the numerical relationship between the actual pressure drop and the target pressure drop, the method further includes:
According to the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, the simulation model of the target flow line is adjusted by adjusting the flow resistance parameter and/or the size parameter of the water inlet pipe, and an optimization process of the flow line performance can be intuitively perceived during a test process, which improves efficiency of performance verification of the flow line of the water softening device.
According to an embodiment of the present disclosure, adjusting the simulation model of the target flow line based on the performance detection result includes:
According to the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, in case that the actual pressure drop is too large, the simulation model of the target flow line is adjusted by decreasing the flow resistance parameter of the target flow line and/or increasing the size parameter of the water inlet pipe of the target flow line; and in case that the actual pressure drop is too small, the simulation model of the target flow line is adjusted by increasing the flow resistance parameter of the target flow line and/or reducing the size parameter of the water inlet pipe of the target flow line, and the target flow line of the water softening device is accurately verified and optimized.
A device for detecting performance of a water softening device provided by an embodiment of the present disclosure includes:
An electronic device provided by an embodiment of the present disclosure includes a memory, a processor and a computer program stored on the memory and is executable on the processor, where when executing the computer program, the processor performs any one of the above-mentioned method for detecting the performance of the water softening device.
A non-transitory computer-readable storage medium provided by an embodiment of the present disclosure having a computer program stored thereon, where when executing by a processor, the computer program performs any one of the above-mentioned method for detecting the performance of the water softening device.
A computer program product provided by an embodiment of the present disclosure includes a computer program, where when executing by a processor, the computer program performs any one of the above-mentioned method for detecting the performance of the water softening device.
One or more of the above solutions in the embodiments of the present disclosure have at least one of the following effects.
By obtaining the correspondence between the water temperature and the pressure drop of the target flow line, the corresponding target pressure drop can be matched for test environment at any temperature, and the performance of the flow line of the water softening device can be completely and accurately detected and verified.
Embodiments of the present disclosure will be set forth in part in the description which follows and, in part, will be apparent from the description, or may be learned by practice of the presented disclosure.
In order to clearly illustrate the solutions according to the present application or the related art, the accompanying drawings used in the description of the embodiments of the present application or the related art are briefly introduced below. It should be noted that the drawings in the following description are of only part embodiments of the present application.
Embodiments of the present disclosure are further described in detail below with reference to the drawings and embodiments. The following embodiments are intended to illustrate the disclosure, but are not intended to limit the scope of the disclosure.
It should be noted that with the improvement of living standards, people pay more and more attention to household water use. There are more and more water softeners on the market now. A water softener can replace calcium ions and magnesium ions in the water with sodium ions, and softening high hardness water into soft water, which prolongs the service life of a back-end water-related device, and can be used for beauty, skin care, clothing care, etc.
In order to make a water softening device operate and meet its performance, necessary physical conditions are a temperature, a pressure and a flow rate. Traditional water softeners currently on the market only have a flow sensor to monitor the flow rate, without real-time monitoring of the temperature and the pressure, which are two key physical conditions. In laboratory test environment, during development process of the water softener, a water temperature for testing and a temperature of test environment change with seasonal changes, which affects the flow rate of the water, and affects verification of the performance of the water softening device. Investing in a set of devices that can control the temperature and meet a hardness standard can cost millions, and companies are often unwilling to invest in a such expensive temperature control device, resulting in a lack of completeness and accuracy when verifying performance of the water softener in a laboratory.
Referring to
Block S1: a correspondence between a water temperature and a pressure drop of a target flow line is obtained.
Block S2: a target pressure drop corresponding to a current test water temperature is determined based on the correspondence between the water temperature and the pressure drop of the target flow line.
Block S3: a performance detection result is determined based on a numerical relationship between an actual pressure drop and the target pressure drop.
The target flow line is a flow line between a water inlet end and a water outlet end of the water softening device, and the actual pressure drop is a pressure drop of the target flow line under the current test water temperature.
It can be understood that the pressure drop is equivalent to water pressure loss in a pipeline. For example, for a target pipeline between a water inlet and a water outlet of the water softener, under a constant condition (an inlet water velocity is fixed and the temperature is fixed), a difference between a water pressure measured near the water inlet and a water pressure measured from the water outlet is a pressure drop under the constant condition. Since the pressure drop of the flow line of the water softener affects water usage of a household water main pipeline of a user, in order to minimize an impact of the usage of the water softener on the water usage of the main pipeline, the pressure drop of the flow line of the water softening device is the smaller the better within a range theoretically. In addition, when considering user experience, a water output impulse of the water softener needs to be controlled within a range, that is, neither too high nor too small. A better reference of the water output impulse can be obtained through a large number of user test verifications. A water pressure corresponding to the water outlet can be calculated based on the reference of the water outlet impulse, and a standard pressure drop between the inlet and the outlet of the water softener can be determined.
It should be noted that at a rated flow rate, due to different fluidities of water at different temperatures, standard pressure drops corresponding to different temperatures are also different. Therefore, in order to verify whether the water output impulse of the water softener meets a set standard, it is necessary to verify the pressure drop of the flow line at different temperatures. In the embodiment of the present disclosure, standard pressure drops corresponding to different temperatures at the rated flow rate is first obtained, and the standard pressure drop can be determined by performing tests and verifications in advance. Based on these different temperatures and different standard pressure drops, the correspondence between the water temperature and the pressure drop of the target flow line can be determined, the current test water temperature in the laboratory (that is, a temperature of the water body used to detect the performance of the flow line of the water softener) is measured, and the target pressure drop at the current test water temperature can be obtained by matching the current test water temperature with a temperature-pressure correspondence relationship (that is, the correspondence between the water temperature and the pressure drop of the target flow line). That is, when the target pipeline is tested at the rated flow rate by using the water body with the current test water temperature, the pressure drop should be taken as a basis for determining whether it has passed the test verification. Under the current test water temperature, water is passed into the water softening device at the rated flow rate, and the actual pressure drop of the target pipeline (that is, a difference between a water pressure of the water inlet and a water pressure of the water outlet) is measured, to determine the performance detection result based on the numerical relationship between the actual pressure drop and the target pressure drop. For example, if it is measured that the actual pressure drop is higher than the target pressure drop by a value, it indicates that the performance detection of the target pipeline of the water softening device is unqualified.
In the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, by obtaining the correspondence between the temperature and the pressure drop, the corresponding target pressure drop can be matched for test environment at any temperature, and the performance of the flow line of the water softening device can be completely and accurately detected and verified.
In an embodiment, in block S1,
In the embodiment of the present disclosure, the correspondence between the water temperature and the pressure drop of the target flow line can be obtained by fitting the pre-stored temperature-pressure corresponding table of the target flow line. The temperature-pressure corresponding table records temperatures and corresponding reference pressure drops, and the reference pressure drop can be calibrated through repeated experimental verification at the rated flow rate. First, temperatures and calibrated pressure drops are marked in a coordinate system, and then marked points are fitted to obtain the correspondence between the water temperature and the pressure drop of the target flow line. It can be understood that fitting refers to connecting a series of points on a plane using a smooth curve. Since there are countless possibilities for the curve, there are various fitting modes. Commonly used fitting modes include least squares curve fitting mode, etc. Fitting, interpolation and approximation are the three basic tools of numerical analysis. In a popular sense, their difference is that: fitting refers to approaching points in a known point sequence as a whole interpolation refers to completely passing through points in a known point sequence; and approximation refers to constructing a function that gets infinitely close to a known curve or a known point sequence through an approximation manner.
In the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, the corresponding target pressure drop at any temperature can be obtained by fitting numerical values of the temperature-pressure corresponding table, without using an expensive temperature control device to control the test water temperature to be a temperature to obtain the corresponding target pressure drop from the temperature-pressure corresponding table, to completely and accurately verify the performance of the flow line of the water softener without using the temperature control device.
In an embodiment, in S11,
It should be noted that based on multiple sets of data with given rules, a corresponding functional relationship expression can be obtained based on independent variables and dependent variables of the multiple sets of data. In the embodiment of the present disclosure, reference water temperatures in the temperature-pressure corresponding table can be used as independent variables, and reference pressure drops corresponding to each reference water temperature can be used as dependent variables, and its linear regression equation can be obtained, a linear fitting is performed on the temperature-pressure corresponding table, and then the corresponding target pressure drop at any temperature is obtained through the linear regression equation.
In the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, the corresponding linear regression equation is calculated based on numerical values of the temperature-pressure corresponding table, the corresponding target pressure drop at any temperature is obtained without using an expensive temperature control device to control the test water temperature to be a temperature to obtain the corresponding target pressure drop from the temperature-pressure corresponding table, to completely and accurately verify the performance of the flow line of the water softener without using the temperature control device.
In an embodiment, in block S3,
It should be noted that since the pressure drop of the flow line of the water softener affects the water usage of a household water main pipeline of a user, in order to minimize the impact of the usage of the water softener on the water usage of the main pipeline, the pressure drop of the flow line of the water softening device is the smaller the better within a range theoretically. In addition, when considering user experience, a water output impulse of the water softener needs to be controlled within a range. If the water output impulse is too high or too low; it will cause a decrease in the user experience. A better reference of the water output impulse can be obtained through a large number of user test verifications. A water pressure corresponding to the water outlet can be calculated based on the reference of the water outlet impulse, and the target pressure drop between the inlet and the outlet of the water softener can be determined. In the embodiment of the present disclosure, the target pressure drop corresponding to the rated flow rate and a current test temperature is first obtained, the actual pressure drop of the flow line of the water softener is collected and calculated during a test process, and the performance detection result is determined by comparing a difference between the actual pressure drop and the target pressure drop with the preset threshold. It can be understood that if the difference between the actual pressure drop and the target pressure drop is greater than the threshold, it means that the actual pressure drop at the rated flow rate and the current test temperature is too large or too small, resulting in a poor user experience and it is determined to be unqualified pressure drop performance and does not meet a product requirement.
In the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, the performance detection of pressure drop is determined to be unqualified in accordance with a determination that the actual pressure drop is far from the target pressure drop, the performance verification accuracy of the flow line of the water softening device is further improved.
In an embodiment, after block S3, the method may further include:
It should be noted that the performance detection result can include information about whether the pressure drop performance detection is qualified or unqualified, as well as information about whether the pressure drop is too large or too small. A purpose of adjusting and optimizing the simulation model of the target flow line can be achieved based on the performance detection result. It can be understood that the pressure drop of the target flow line reflects the pressure loss between the inlet and the outlet of the flow line. If the actual pressure drop is too large, it means that the pressure loss of the flow line is too large, which will cause large effect on the water usage of the main pipeline of the user. The pressure drop needs to be reduced to meet a performance requirement. Accordingly, if the actual pressure drop is too small, it means that the pressure loss of the flow line is too small, which will cause the water output impulse of the water softener being too large and affect the user experience. The pressure drop needs to be increased to meet a performance requirement. It should be noted that the pressure drop of the flow line is related to the flow resistance inside the water softener and thickness of the water inlet pipe. The pressure drop can be adjusted by adjusting the flow resistance parameter of the target flow line and/or the size parameter of the water inlet pipe.
In the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, by adjusting the simulation model of the target flow line through adjusting the flow resistance parameter and/or the size parameter of the water inlet pipe, and an optimization process of the flow line performance can be intuitively perceived during a test process, efficiency of performance verification of the flow line of the water softening device is improved.
In an embodiment, in step S4,
It should be noted that when the performance detection of pressure drop is unqualified, the flow resistance of the target flow line or the size parameter of the water inlet pipe needs to be adjusted. A specific parameter adjustment scheme can be further determined based on the numerical relationship between the actual pressure drop and the target pressure drop. It can be understood that the pressure drop of the flow line is related to the flow resistance inside the water softener and the thickness of the water inlet pipe. In some embodiments, when the size parameter of water inlet pipe is fixed, the greater the flow resistance of the flow line, the greater the pressure drop of the flow line. When the flow resistance parameter of the flow line is fixed, the larger the water inlet pipe is, the smaller the pressure drop of the flow line is. The specific parameter adjustment scheme can be determined based on the above relationship between the pressure drop of the flow line, the flow resistance parameter and the water inlet pipe size. After determining the adjustment scheme, a parameter can be adjusted based on a preset fixed value, or a specific adjustment value can be determined based on a specific difference between the actual pressure drop and the target pressure drop.
In the method for detecting the performance of the water softening device provided by the embodiment of the present disclosure, when the actual pressure drop is too large, the simulation model of the target flow line is adjusted by decreasing the flow resistance parameter of the target flow line and/or increasing the size parameter of the water inlet pipe of the target flow line; and when the actual pressure drop is too small, the simulation model of the target flow line is adjusted by increasing the flow resistance parameter of the target flow line and/or reducing the size parameter of the water inlet pipe of the target flow line, and the target flow line of the water softening device is accurately verified and optimized.
Referring to
In an embodiment of the present disclosure, an integrated temperature and pressure sensor can be installed in a water route with a control valve to detect the water temperature and the water pressure in the flow line of the water softener in real time, and information about the water temperature and the water pressure can be transmitted to the user through an APP (application program) simultaneously. In addition, a six sigma tool “minitab normal distribution plot” can be used to calculate a water temperature fitting curve based on an impact of a collected water temperature on the flow rate.
Table 1 is a temperature-pressure corresponding table at rated flow rate.
It can be understood that in addition to correspondences between the water temperature and the pressure drop listed in table 1, different correspondences between the water temperature and the pressure drop can be obtained at other preset rated flow rates.
Temperatures and pressure values of the flow line can be obtained through the integrated temperature and pressure sensor.
Based on changes in voltage under different pressures, the pressure in a to-be-detected pipeline is logically calculated. As an example, parameter information of the integrated temperature and pressure sensor can be as shown in table 2.
The integrated temperature and pressure sensor can logically calculate and detect the temperature and the pressure of water in the to-be-detected pipeline based on voltage changes under different pressures. A relationship between an output voltage of the sensor and a pressure can be indicated by the output curve in
In the embodiment of the present disclosure, based on known temperatures and pressure drops in the temperature-pressure corresponding table, a regression formula for the water temperature and the pressure drop can be calculated by using the six sigma tool “minitab normal distribution plot”. Relevant help can be obtained by pressing F1 key in the minitab tool. A Pareto diagram of a component and a Pareto diagram of a model are combined to perform regression analysis. A regression equation of a correspondence between the pressure drop (kPa) corresponding to the rated flow rate and the water temperature (° C.) is as follows:
Fitting line; a polynomial regression analysis is performed on the pressure drop (kPa) and the water temperature (° C.) corresponding to the rated flow rate, and the regression equation is obtained as follows:
A second order fitting of equation 1 and a third order fitting of equation 2 are both very good, and both of them reach a 95% confidence interval according to the six sigma quality control standard. These two equations can be used as correspondences of the water temperature and the pressure drop.
Compared with the related art, in the embodiment of the present disclosure, the linear regression equation of the water temperature and the pressure drop is calculated and taken as a basis for verifying the pressure drop performance of the flow line of the water softening device, and the performance of the water softening device is completely and accurately verified without using the temperature control device.
Referring to
In an embodiment, the obtaining device 501 is configured to:
In an embodiment, the obtaining device 501 is configured to:
In an embodiment, the detecting device 503 is configured to:
In an embodiment, the device for detecting the performance of the water softening device further includes an adjusting device, which is configured to:
In an embodiment, the adjusting device is configured to:
Block S1: obtaining a correspondence between a water temperature and a pressure drop of a target flow line.
Block S2: a target pressure drop corresponding to a current test water temperature is determined based on the correspondence between the water temperature and the pressure drop of the target flow line.
Block S3: a performance detection result is determined based on a numerical relationship between an actual pressure drop and the target pressure drop.
The target flow line is a flow line between a water inlet end and a water outlet end of the water softening device, and the actual pressure drop is a pressure drop of the target flow line under the current test water temperature.
In addition, the above-mentioned logical instructions in the memory 630 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the solution of the present disclosure is essentially or the part that contributes to the relevant technology or the part of the solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present disclosure. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disk and other media that can store program code.
An embodiment of the present disclosure further discloses a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by each of the above method embodiments, including the following blocks.
Block S1: a correspondence between a water temperature and a pressure drop of a target flow line is obtained.
Block S2: a target pressure drop corresponding to a current test water temperature is determined based on the correspondence between the water temperature and the pressure drop of the target flow line.
Block S3: a performance detection result is determined based on a numerical relationship between an actual pressure drop and the target pressure drop.
The target flow line is a flow line between a water inlet end and a water outlet end of the water softening device, and the actual pressure drop is a pressure drop of the target flow line under the current test water temperature.
An embodiment of the present disclosure further provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the methods provided by each of the above method embodiments can be executed, for example, including the following blocks.
Block S1: a correspondence between a water temperature and a pressure drop of a target flow line is obtained.
Block S2: a target pressure drop corresponding to a current test water temperature is determined based on the correspondence between the water temperature and the pressure drop of the target flow line.
Block S3: a performance detection result is determined based on a numerical relationship between an actual pressure drop and the target pressure drop.
The target flow line is a flow line between a water inlet end and a water outlet end of the water softening device, and the actual pressure drop is a pressure drop of the target flow line under the current test water temperature.
The device embodiments described above are only schematic. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one location, or it can be distributed across network units. Some or all of the modules can be selected based on actual needs to achieve the purpose of the solution of this embodiment.
Through the above description of the embodiments, each embodiment can be implemented by software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above embodiments can be embodied in the form of software products in essence or in part that contribute to related technologies. The computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic disks, optical disk, etc., including a number of instructions to cause a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or parts of the embodiments.
Finally, it should be noted that the above embodiments are only used to illustrate the present disclosure, but not to limit the present disclosure. Although the present disclosure has been described in detail with reference to the embodiments, various combinations, modifications, or equivalent replacements of the solutions of the present disclosure do not depart from the scope of the solutions of the present disclosure, and should all be covered within the scope of the claims of the present disclosure.
| Number | Date | Country | Kind |
|---|---|---|---|
| 202210602602.9 | May 2022 | CN | national |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/CN2023/088199 | 4/13/2023 | WO |
