Method and system for detecting service life of filter element, intelligent kitchen appliance, medium and program product

Abstract

The invention provides a filter element service life detection method and system, an intelligent kitchen appliance, a medium and a program product. The detection method comprises the steps that the current TDS attenuation rate of a filter element and the flow accumulated value of the filter element are acquired; obtaining an initial filter element life value of the filter element, a maximum flow value of the filter element and an initial TDS attenuation rate of the filter element; obtaining a current filter element life value based on the initial TDS attenuation rate, the current TDS attenuation rate, the flow accumulated value, the maximum flow value and the initial filter element life value of the filter element; and detecting the service life state of the filter element based on the comparison result of the current filter element service life value and the filter element replacement threshold value. The current filter element service life value is obtained based on the initial TDS attenuation rate, the current TDS attenuation rate, the flow accumulated value, the maximum flow value and the initial filter element service life value of the filter element, the service life state of the filter element is detected based on the comparison result of the current filter element service life value and the filter element replacement threshold value, the filter element service life can be accurately judged, the element replacement cost is saved, and the filter element replacement efficiency is improved. And the user experience is improved.

Description

Technical Field

[0001] This disclosure relates to the field of smart kitchen appliance technology, and in particular to a method, system, smart kitchen appliance, medium, and program product for detecting filter life. Background Technology

[0002] With the improvement of people's living standards and the promotion and popularization of technologies such as the Internet, big data, artificial intelligence, and voice interaction, more and more traditional lifestyles are gradually changing, and the use of kitchen appliances is gradually moving towards intelligence. While bringing more convenience to users, the functions of various kitchen appliances are also becoming more diversified;

[0003] Filter lifespan is a major concern for consumers because it affects replacement costs and user experience. Currently, there are two main methods for determining filter lifespan: natural lifespan and service life. The former calculates the time a new filter has been installed in the machine, while the latter calculates the pump's operating time to determine if the filter has reached its expiration date.

[0004] Both natural lifespan and service life are one-size-fits-all methods for calculating filter lifespan, which have many limitations. However, in actual smart kitchen appliance usage scenarios, various situations arise, such as differences in water quality in different regions, sudden changes in water quality in the community, and different usage frequencies by users. Summary of the Invention

[0005] The technical problem to be solved by this disclosure is to overcome the shortcomings of existing filter life calculation methods, which cannot accurately determine filter life, and to provide a filter life detection method, system, smart kitchen appliance, medium and program product.

[0006] This disclosure solves the above-mentioned technical problems through the following technical solution:

[0007] The first aspect of this disclosure provides a method for detecting the lifespan of a filter element, the method comprising:

[0008] Obtain the current TDS decay rate and cumulative flow value of the filter element;

[0009] Obtain the initial filter life value, the maximum flow rate value, and the initial TDS decay rate of the filter element;

[0010] The current filter life value is obtained based on the initial TDS decay rate of the filter element, the current TDS decay rate, the cumulative flow value, the maximum flow value, and the initial filter life value.

[0011] The filter cartridge's lifespan status is detected based on the comparison between the current filter cartridge lifespan value and the filter cartridge replacement threshold.

[0012] Preferably, the expression for obtaining the current filter cartridge lifespan value based on the initial TDS decay rate, the current TDS decay rate, the cumulative flow rate, the maximum flow rate, and the initial filter cartridge lifespan value is as follows:

[0013]

[0014] Where L represents the current filter lifespan, L0 represents the initial filter lifespan, and Q represents the cumulative flow rate of the filter. max R represents the maximum flow rate of the filter element, R represents the current TDS decay rate of the filter element, and R0 represents the initial TDS decay rate of the filter element.

[0015] Preferably, the step of detecting the lifespan status of the filter element based on the comparison result between the current filter element lifespan value and the filter element replacement threshold includes:

[0016] If the current filter life value is less than the filter replacement threshold, the filter life status is determined to be that the filter needs to be replaced, and a filter replacement prompt message is output.

[0017] Preferably, the expression for obtaining the current TDS attenuation rate of the filter element is:

[0018]

[0019] Where R represents the current TDS decay rate of the filter element, R0 represents the initial TDS decay rate of the filter element, k represents the decay constant, and t represents the usage time of the filter element.

[0020] Preferably, the expression for obtaining the cumulative flow value of the filter element is:

[0021]

[0022] Where Q represents the cumulative flow of the filter element, q(t) represents the flow rate of the filter element after using it for time t, and t represents the usage time of the filter element.

[0023] Preferably, the detection method further includes:

[0024] Obtain the TDS value of the water in the filter cartridge;

[0025] If the TDS value of the water is greater than or equal to a preset threshold, it is determined that the filtration efficiency of the filter cartridge has decreased.

[0026] And / or,

[0027] The detection method further includes:

[0028] Get the current flow rate of the filter cartridge;

[0029] If the current flow rate is less than the preset flow rate, it is determined that the filter needs to be replaced.

[0030] And / or,

[0031] The detection method further includes:

[0032] Displays the lifespan status of the filter cartridge.

[0033] A second aspect of this disclosure provides a filter cartridge life testing system, the testing system comprising:

[0034] The first acquisition module is used to acquire the current TDS attenuation rate of the filter element and the cumulative flow value of the filter element;

[0035] The second acquisition module is used to acquire the initial filter life value, the maximum flow rate value, and the initial TDS decay rate of the filter element.

[0036] The third acquisition module is used to acquire the current filter life value based on the initial TDS decay rate of the filter element, the current TDS decay rate, the cumulative flow value, the maximum flow value, and the initial filter life value.

[0037] The detection module is used to detect the life status of the filter element based on the comparison result between the current filter element life value and the filter element replacement threshold.

[0038] Preferably, the expression for obtaining the current filter cartridge lifespan value based on the initial TDS decay rate, the current TDS decay rate, the cumulative flow rate, the maximum flow rate, and the initial filter cartridge lifespan value is as follows:

[0039]

[0040] Where L represents the current filter lifespan, L0 represents the initial filter lifespan, and Q represents the cumulative flow rate of the filter. max R represents the maximum flow rate of the filter element, R represents the current TDS decay rate of the filter element, and R0 represents the initial TDS decay rate of the filter element.

[0041] Preferably, the detection module is configured to determine that the filter element needs to be replaced when the current filter element lifespan value is less than the filter element replacement threshold, and output a prompt message to replace the filter element.

[0042] Preferably, the expression for obtaining the current TDS attenuation rate of the filter element is:

[0043]

[0044] Where R represents the current TDS decay rate of the filter element, R0 represents the initial TDS decay rate of the filter element, k represents the decay constant, and t represents the usage time of the filter element.

[0045] Preferably, the expression for obtaining the cumulative flow value of the filter element is:

[0046]

[0047] Where Q represents the cumulative flow of the filter element, q(t) represents the flow rate of the filter element after using it for time t, and t represents the usage time of the filter element.

[0048] Preferably, the detection system further includes:

[0049] The fourth acquisition module is used to acquire the TDS value of the water in the filter cartridge;

[0050] The first determining module is used to determine that the filtration efficiency of the filter element has decreased in response to the TDS value of the water being greater than or equal to a preset threshold.

[0051] And / or,

[0052] The detection system also includes:

[0053] The fifth acquisition module is used to acquire the current flow rate value of the filter element;

[0054] The second determining module is used to determine that the filter needs to be replaced if the current flow rate is less than a preset flow rate.

[0055] And / or,

[0056] The detection system also includes:

[0057] The display module is used to show the lifespan status of the filter element.

[0058] This disclosure provides a third aspect of a smart kitchen appliance, including a memory, a processor, and a computer program stored in the memory and for running on the processor, wherein the processor executes the computer program to implement the filter life detection method described in the first aspect.

[0059] The fourth aspect of this disclosure provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the filter life detection method described in the first aspect.

[0060] The fifth aspect of this disclosure provides a computer program product, including a computer program that, when executed by a processor, implements the filter life detection method as described in the first aspect.

[0061] Based on common knowledge in the field, the above-mentioned preferred conditions can be combined arbitrarily to obtain various preferred embodiments of this disclosure.

[0062] The positive and progressive effects of this disclosure are as follows:

[0063] This disclosure obtains the current filter life value based on the filter element's initial TDS decay rate, current TDS decay rate, cumulative flow value, maximum flow value, and initial filter life value. It also detects the filter element's life status based on the comparison between the current filter life value and the filter element replacement threshold. This allows for accurate determination of filter element life, saving replacement costs and improving user experience. Attached Figure Description

[0064] Figure 1 A flowchart of a method for detecting filter life provided in Embodiment 1 of this disclosure.

[0065] Figure 2 This is a schematic diagram of the filter life detection system provided in Embodiment 2 of this disclosure.

[0066] Figure 3 This is a schematic diagram of the electronic device used to implement the filter life detection method according to Embodiment 3 of this disclosure. Detailed Implementation

[0067] The present disclosure is further illustrated below by way of embodiments, but the present disclosure is not limited to the scope of the embodiments described herein.

[0068] The prefixes such as "first" and "second" used in this disclosure are merely for distinguishing different descriptive objects and do not limit the position, order, priority, quantity, or content of the described objects. The use of ordinal numbers and other prefixes used to distinguish descriptive objects in this disclosure does not constitute a limitation on the described objects. The description of the described objects is given in the claims or the context of the embodiments, and should not be construed as an unnecessary limitation. Furthermore, in the description of this embodiment, unless otherwise stated, "multiple" means two or more.

[0069] In this embodiment of the disclosure, the collection, storage, use, processing, transmission, provision, and disclosure of user personal information comply with relevant laws and regulations and do not violate public order and good morals.

[0070] In this embodiment of the disclosure, the smart kitchen appliance can obtain the current filter life value based on the initial TDS decay rate, current TDS decay rate, cumulative flow value, maximum flow value, and initial filter life value of the filter element; and detect the life status of the filter element based on the comparison result between the current filter life value and the filter element replacement threshold, which can accurately determine the filter life, save filter replacement costs, and improve the user experience.

[0071] Furthermore, this smart kitchen appliance can be controlled by a voice module, which is equipped with a controller, a voice receiving module, and a voice parsing module. The voice receiving module receives user commands, and the voice parsing module parses the commands. Based on the parsed commands, the controller controls the smart kitchen appliance to perform corresponding operations, thereby realizing intelligent control of the smart kitchen appliance and improving the user experience.

[0072] It should be noted that the voice module, controller, voice receiving module, voice parsing module, and voice operation logic mentioned in this embodiment are all existing modules and logic in the prior art. This embodiment has not improved them, and will not elaborate further here.

[0073] Example 1

[0074] Figure 1 A flowchart of a method for detecting filter life provided in Embodiment 1 of this disclosure is shown below. Figure 1 As shown, the detection method includes:

[0075] S1. Obtain the current TDS decay rate and cumulative flow value of the filter element;

[0076] S2. Obtain the initial filter life value, the maximum flow rate value, and the initial TDS decay rate of the filter element;

[0077] S3. Obtain the current filter life value based on the filter element's initial TDS decay rate, current TDS decay rate, cumulative flow value, maximum flow value, and initial filter life value.

[0078] In this embodiment, the TDS decay rate of the filter element refers to the extent to which the filter element can reduce the TDS in the water during use. Assuming the initial TDS decay rate of the filter element is R0, the TDS decay rate will gradually decrease as the usage time increases.

[0079] S4. Detect the life status of the filter element based on the comparison results between the current filter element life value and the filter element replacement threshold.

[0080] In an optional embodiment, the expression for obtaining the current filter life value in S3 is as shown in formula (1):

[0081] (1)

[0082] Where L represents the current filter lifespan, L0 represents the initial filter lifespan, and Q represents the cumulative flow rate of the filter. max R represents the maximum flow rate of the filter element, R represents the current TDS decay rate of the filter element, and R0 represents the initial TDS decay rate of the filter element.

[0083] In this embodiment, the lifespan of the filter element refers to the time during which the filter element can maintain its effective filtration function during use. Assuming the initial lifespan of the filter element is L0, the lifespan will gradually decrease as the usage time increases.

[0084] In an optional embodiment, S4 includes:

[0085] If the current filter lifespan is less than the filter replacement threshold, the filter lifespan status is determined to be such that the filter needs to be replaced, and a filter replacement prompt message is output.

[0086] In this embodiment, when the filter life value L is lower than the set replacement threshold L... min The system will issue a replacement reminder when the filter cartridge needs to be replaced. Assume the filter cartridge replacement threshold is L. min When L <L min The system will issue a reminder when this happens.

[0087] It should be noted that when L≥L min When needed, there is no need to replace the filter element.

[0088] In an optional embodiment, the expression for obtaining the current TDS attenuation rate of the filter element is shown in formula (2):

[0089] (2)

[0090] Where R represents the current TDS decay rate of the filter element, R0 represents the initial TDS decay rate of the filter element, k represents the decay constant, and t represents the usage time of the filter element.

[0091] In an optional embodiment, the expression for obtaining the cumulative flow value of the filter element is shown in formula (3):

[0092] (3)

[0093] Where Q represents the cumulative flow of the filter element, q(t) represents the flow rate of the filter element after using it for time t, and t represents the usage time of the filter element.

[0094] In this embodiment, the cumulative flow rate of the filter element refers to the total amount of water that passes through the filter element during use. Assuming the initial flow rate of the filter element is Q0, the cumulative flow rate will gradually increase with usage time.

[0095] In an optional embodiment, the detection method further includes:

[0096] Obtain the TDS value of the water in the filter cartridge;

[0097] If the TDS value of the water is greater than or equal to a preset threshold, it is determined that the filtration efficiency of the filter cartridge has decreased.

[0098] In this embodiment, the lifespan of the filter cartridge is determined by comprehensively measuring the TDS (Total Dissolved Solids) of the water and the flow rate of the filter cartridge. Specifically, the TDS detection principle is as follows: Dissolved solids in water (such as minerals and salts) affect the propagation characteristics of light in water. When the TDS value in the water is high, light absorption and scattering increase, resulting in a decrease in the light intensity received by the photosensitive element.

[0099] Specifically, a preset threshold for TDS is set. When the TDS value exceeds the preset threshold, it indicates that the filter element's filtration efficiency has decreased. Furthermore, if the filter element's lifespan L is greater than or equal to the replacement threshold L... min If the filtration efficiency decreases normally, the filter cartridge does not need to be replaced. If the filter cartridge lifespan L is less than the replacement threshold L... min If the filter efficiency drops abnormally, the filter element needs to be replaced.

[0100] In an optional embodiment, the detection method further includes:

[0101] Get the current flow rate of the filter cartridge;

[0102] If the current flow rate is less than the preset flow rate, it is determined that the filter needs to be replaced.

[0103] In this embodiment, the principle of flow detection is as follows: by measuring the propagation time of light in water or the change in light intensity, combined with the known cross-sectional area of ​​the waterway, the water flow velocity and flow rate can be estimated.

[0104] Comprehensive assessment of filter cartridge lifespan: The lifespan of a filter cartridge is not only related to filtration time, but also to the amount and quality of filtered water. By comprehensively testing the TDS value and flow rate of the water, the actual usage of the filter cartridge can be more accurately assessed.

[0105] Specifically, a preset flow rate value is set for the filter cartridge. If the current flow rate is lower than the preset value, it indicates that the filter cartridge may be clogged and needs to be replaced. The microcontroller performs a comprehensive analysis of the TDS value and flow rate data to determine whether the filter cartridge needs to be replaced and reminds the user through a display screen or indicator light.

[0106] In this embodiment, the TDS value and the current flow rate of the filter element are detected by the photosensitive pulse detection in the water path. The changes in these two parameters are analyzed comprehensively to more accurately determine the life status of the filter element.

[0107] It should be noted that fiber optic sensors have advantages such as high sensitivity, strong anti-interference ability, and non-contact measurement, making them very suitable for water quality monitoring in smart kitchen appliances.

[0108] Optical fibers can be embedded in the water flow board and arranged along the direction of water flow to transmit optical signals. A diode transmitter and a photosensitive element are set at both ends of the optical fiber. The diode transmitter emits optical signals of a specific wavelength, which are transmitted through the optical fiber and propagate in the water, and are finally received by the photosensitive element.

[0109] The optical fiber and the water circuit board are fixed together by a sealed structure to ensure that water does not seep into the optical fiber and to ensure the effective transmission of optical signals.

[0110] In an optional embodiment, the detection method further includes:

[0111] Displays the lifespan status of the filter cartridge.

[0112] In this embodiment, a display screen is set on the control panel of the smart kitchen appliance to display the lifespan status of the filter element (such as percentage) in real time.

[0113] Furthermore, when the filter life value is lower than the replacement threshold, the display screen will show a warning message and a reminder sound will be emitted via a buzzer.

[0114] Furthermore, users can remotely check the filter life status and receive replacement reminders via a mobile app.

[0115] This embodiment improves the user experience by using different filter life display methods.

[0116] This embodiment obtains the current filter life value based on the filter element's initial TDS decay rate, current TDS decay rate, cumulative flow value, maximum flow value, and initial filter life value. It also detects the filter element's life status based on the comparison between the current filter life value and the filter element replacement threshold. This allows for accurate determination of filter life, saving replacement costs and improving user experience.

[0117] Example 2

[0118] Corresponding to the aforementioned embodiment of a filter cartridge life testing method, this disclosure also provides an embodiment of a filter cartridge life testing system.

[0119] Figure 2 This is a schematic diagram of a filter life detection system provided in Embodiment 2 of this disclosure, as shown below. Figure 2 As shown, the detection system includes:

[0120] The first acquisition module 21 is used to acquire the current TDS attenuation rate of the filter element and the cumulative flow value of the filter element;

[0121] The second acquisition module 22 is used to acquire the initial filter life value, the maximum flow value of the filter element, and the initial TDS decay rate of the filter element.

[0122] The third acquisition module 23 is used to acquire the current filter life value based on the filter element's initial TDS attenuation rate, current TDS attenuation rate, cumulative flow value, maximum flow value, and initial filter life value.

[0123] In this embodiment, the TDS decay rate of the filter element refers to the extent to which the filter element can reduce the TDS in the water during use. Assuming the initial TDS decay rate of the filter element is R0, the TDS decay rate will gradually decrease as the usage time increases.

[0124] The detection module 24 is used to detect the life status of the filter element based on the comparison result between the current filter element life value and the filter element replacement threshold.

[0125] In an optional embodiment, the expression for obtaining the current filter life value is as shown in formula (1) in embodiment 1;

[0126] In this embodiment, the lifespan of the filter element refers to the time during which the filter element can maintain its effective filtration function during use. Assuming the initial lifespan of the filter element is L0, the lifespan will gradually decrease as the usage time increases.

[0127] In an optional embodiment, the detection module is configured to determine that the filter cartridge needs to be replaced in response to the current filter cartridge lifespan value being less than the filter cartridge replacement threshold, and output a prompt message to replace the filter cartridge.

[0128] In this embodiment, when the filter life value L is lower than the set replacement threshold L... min The system will issue a replacement reminder when the filter cartridge needs to be replaced. Assume the filter cartridge replacement threshold is L. min When L <L min The system will issue a reminder when this happens.

[0129] It should be noted that when L≥L min When needed, there is no need to replace the filter element.

[0130] In an optional embodiment, the expression for obtaining the current TDS decay rate of the filter element is shown in formula (2) in embodiment 1;

[0131] In an optional embodiment, the expression for obtaining the cumulative flow value of the filter element is shown in formula (3) in embodiment 1;

[0132] In this embodiment, the cumulative flow rate of the filter element refers to the total amount of water that passes through the filter element during use. Assuming the initial flow rate of the filter element is Q0, the cumulative flow rate will gradually increase with usage time.

[0133] In an optional embodiment, the detection system further includes:

[0134] The fourth acquisition module is used to acquire the TDS value of the water in the filter cartridge;

[0135] The first determining module is used to determine that the filtration efficiency of the filter element has decreased in response to the TDS value of the water being greater than or equal to a preset threshold.

[0136] In this embodiment, the lifespan of the filter cartridge is determined by comprehensively measuring the TDS (Total Dissolved Solids) of the water and the flow rate of the filter cartridge. Specifically, the TDS detection principle is as follows: Dissolved solids in water (such as minerals and salts) affect the propagation characteristics of light in water. When the TDS value in the water is high, light absorption and scattering increase, resulting in a decrease in the light intensity received by the photosensitive element.

[0137] Specifically, a preset threshold for TDS is set. When the TDS value exceeds the preset threshold, it indicates that the filter element's filtration efficiency has decreased. Furthermore, if the filter element's lifespan L is greater than or equal to the replacement threshold L... min If the filtration efficiency decreases normally, the filter cartridge does not need to be replaced. If the filter cartridge lifespan L is less than the replacement threshold L... min If the filter efficiency drops abnormally, the filter element needs to be replaced.

[0138] In an optional embodiment, the detection system further includes:

[0139] The fifth acquisition module is used to acquire the current flow rate value of the filter element;

[0140] The second determining module is used to determine that the filter needs to be replaced if the current flow rate is less than the preset flow rate.

[0141] In this embodiment, the principle of flow detection is as follows: by measuring the propagation time of light in water or the change in light intensity, combined with the known cross-sectional area of ​​the waterway, the water flow velocity and flow rate can be estimated.

[0142] Comprehensive assessment of filter cartridge lifespan: The lifespan of a filter cartridge is not only related to filtration time, but also to the amount and quality of filtered water. By comprehensively testing the TDS value and flow rate of the water, the actual usage of the filter cartridge can be more accurately assessed.

[0143] Specifically, a preset flow rate value is set for the filter cartridge. If the current flow rate is lower than the preset value, it indicates that the filter cartridge may be clogged and needs to be replaced. The microcontroller performs a comprehensive analysis of the TDS value and flow rate data to determine whether the filter cartridge needs to be replaced and reminds the user through a display screen or indicator light.

[0144] In this embodiment, the TDS value and the current flow rate of the filter element are detected by the photosensitive pulse detection in the water path. The changes in these two parameters are analyzed comprehensively to more accurately determine the life status of the filter element.

[0145] It should be noted that fiber optic sensors have advantages such as high sensitivity, strong anti-interference ability, and non-contact measurement, making them very suitable for water quality monitoring in smart kitchen appliances.

[0146] Optical fibers can be embedded in the water flow board and arranged along the direction of water flow to transmit optical signals. A diode transmitter and a photosensitive element are set at both ends of the optical fiber. The diode transmitter emits optical signals of a specific wavelength, which are transmitted through the optical fiber and propagate in the water, and are finally received by the photosensitive element.

[0147] The optical fiber and the water circuit board are fixed together by a sealed structure to ensure that water does not seep into the optical fiber and to ensure the effective transmission of optical signals.

[0148] In an optional embodiment, the detection system further includes:

[0149] The display module is used to show the lifespan status of the filter element.

[0150] In this embodiment, a display screen is set on the control panel of the smart kitchen appliance to display the lifespan status of the filter element (such as percentage) in real time.

[0151] Furthermore, when the filter life value is lower than the replacement threshold, the display screen will show a warning message and a reminder sound will be emitted via a buzzer.

[0152] Furthermore, users can remotely check the filter life status and receive replacement reminders via a mobile app.

[0153] This embodiment improves the user experience by using different filter life display methods.

[0154] This embodiment obtains the current filter life value based on the filter element's initial TDS decay rate, current TDS decay rate, cumulative flow value, maximum flow value, and initial filter life value. It also detects the filter element's life status based on the comparison between the current filter life value and the filter element replacement threshold. This allows for accurate determination of filter life, saving replacement costs and improving user experience.

[0155] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs.

[0156] Example 3

[0157] Figure 3This is a schematic diagram of the structure of an electronic device shown in Embodiment 3 of this disclosure. The electronic device can be a smart kitchen appliance. The electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor. When the processor executes the computer program, it implements the filter life detection method described in any of the above embodiments. Figure 3 The electronic device 90 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0158] like Figure 3 As shown, the electronic device 90 can be manifested as a general-purpose computing device, such as a server device. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 connecting different system components (including memory 92 and processor 91).

[0159] Bus 93 includes a data bus, an address bus, and a control bus.

[0160] The memory 92 may include volatile memory, such as random access memory (RAM) 921 and / or cache memory 922, and may further include read-only memory (ROM) 923.

[0161] The memory 92 may also include a program tool 925 (or utility) having a set (at least one) program module 924, such program module 924 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0162] The processor 91 executes various functional applications and data processing by running computer programs stored in the memory 92, such as the filter life detection method provided in any of the above embodiments.

[0163] Electronic device 90 can also communicate with one or more external devices 94 (e.g., keyboard, pointing device, etc.). This communication can be performed via input / output (I / O) interface 95. Furthermore, electronic device 90 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 96. Figure 3 As shown, network adapter 96 communicates with other modules of electronic device 90 via bus 93. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0164] It should be noted that although several units / modules or sub-units / modules of the electronic device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0165] Example 4

[0166] Embodiment 4 of this disclosure also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the filter life detection method provided in any of the above embodiments.

[0167] The readable storage medium may be more specifically adopted, including but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device, or any suitable combination thereof.

[0168] Example 5

[0169] Embodiment 5 of this disclosure also provides a computer program product, including a computer program, which, when executed by a processor, implements the filter life detection method described in any of the above claims.

[0170] The program code for executing the computer program product of this disclosure can be written in any combination of one or more programming languages, and the program code can be executed entirely on a user device, partially on a user device, as a stand-alone software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0171] While specific embodiments of this disclosure have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of this disclosure is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of this disclosure, but all such changes and modifications fall within the scope of protection of this disclosure.

Claims

1. A method for detecting the lifespan of a filter element, characterized in that, The detection method includes: Obtain the current TDS decay rate and cumulative flow value of the filter element; Obtain the initial filter life value, the maximum flow rate value, and the initial TDS decay rate of the filter element; The current filter life value is obtained based on the initial TDS decay rate of the filter element, the current TDS decay rate, the cumulative flow value, the maximum flow value, and the initial filter life value. The filter cartridge's lifespan status is detected based on the comparison between the current filter cartridge lifespan value and the filter cartridge replacement threshold.

2. The method for detecting filter life as described in claim 1, characterized in that, The expression for obtaining the current filter cartridge lifespan value based on the initial TDS attenuation rate, the current TDS attenuation rate, the cumulative flow rate, the maximum flow rate, and the initial filter cartridge lifespan value is as follows: Where L represents the current filter lifespan, L0 represents the initial filter lifespan, and Q represents the cumulative flow rate of the filter. max R represents the maximum flow rate of the filter element, R represents the current TDS decay rate of the filter element, and R0 represents the initial TDS decay rate of the filter element.

3. The method for detecting filter life as described in claim 1, characterized in that, The step of detecting the lifespan status of the filter element based on the comparison result between the current filter element lifespan value and the filter element replacement threshold includes: If the current filter life value is less than the filter replacement threshold, the filter life status is determined to be that the filter needs to be replaced, and a filter replacement prompt message is output.

4. The method for detecting filter cartridge life as described in claim 1, characterized in that, The expression for obtaining the current TDS attenuation rate of the filter element is: Where R represents the current TDS decay rate of the filter element, R0 represents the initial TDS decay rate of the filter element, k represents the decay constant, and t represents the usage time of the filter element.

5. The method for detecting filter life as described in claim 1, characterized in that, The expression for obtaining the cumulative flow value of the filter element is: Where Q represents the cumulative flow of the filter element, q(t) represents the flow rate of the filter element after using it for time t, and t represents the usage time of the filter element.

6. The method for detecting filter life as described in claim 1, characterized in that, The detection method further includes: Obtain the TDS value of the water in the filter cartridge; If the TDS value of the water is greater than or equal to a preset threshold, it is determined that the filtration efficiency of the filter cartridge has decreased. And / or, The detection method further includes: Get the current flow rate of the filter cartridge; If the current flow rate is less than the preset flow rate, it is determined that the filter needs to be replaced. And / or, The detection method further includes: Displays the lifespan status of the filter cartridge.

7. A filter cartridge life detection system, characterized in that, The detection system includes: The first acquisition module is used to acquire the current TDS attenuation rate of the filter element and the cumulative flow value of the filter element; The second acquisition module is used to acquire the initial filter life value, the maximum flow rate value, and the initial TDS decay rate of the filter element. The third acquisition module is used to acquire the current filter life value based on the initial TDS decay rate of the filter element, the current TDS decay rate, the cumulative flow value, the maximum flow value, and the initial filter life value. The detection module is used to detect the life status of the filter element based on the comparison result between the current filter element life value and the filter element replacement threshold.

8. A smart kitchen appliance, comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that, When the processor executes the computer program, it implements the method for detecting the filter life as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for detecting the filter life as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for detecting the filter cartridge life as described in any one of claims 1 to 6.

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