CN-121971908-A - Filter element service life detection method, system, intelligent kitchen electric appliance, medium and program product

Abstract

The present disclosure provides a method, a system, an intelligent kitchen electric appliance, a medium and a program product for detecting the service life of a filter element, wherein the detecting method comprises the steps of obtaining the current TDS attenuation rate of the filter element and the flow accumulated value of the filter element; the method comprises the steps of obtaining an initial filter element life value of a 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 of the filter element, a current TDS attenuation rate, a flow accumulated value, a maximum flow value and an initial filter element life value, and detecting the life state of the filter element based on a comparison result of the current filter element life value and a filter element replacement threshold value. The current filter element life value is obtained based on the initial TDS attenuation rate, the current TDS attenuation rate, the flow accumulation value, the maximum flow value and the initial filter element life value of the filter element, and the life state of the filter element is detected based on the comparison result of the current filter element life value and the filter element replacement threshold value, so that the service life of the filter element can be accurately judged, the core replacement cost is saved, and the user experience is improved.

Inventors

• FANG JING

Assignees

• 宁波方太厨具有限公司

Dates

Publication Date

20260505

Application Date

20260110

Claims (10)

1. 1. A method for detecting the life of a filter element, the method comprising: Acquiring the current TDS attenuation rate of the filter element and the flow accumulated value of the filter element; acquiring an initial filter element life value of a filter element, a maximum flow value of the filter element and an initial TDS attenuation rate of the filter element; acquiring 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.
2. 2. The method for detecting a lifetime of a filter element according to claim 1, wherein the expression for obtaining a current lifetime value of the filter element based on the initial TDS decay rate, the current TDS decay rate, the flow integrated value, the maximum flow value, and the initial lifetime value of the filter element is: Wherein, L represents the current filter element life value, L 0 represents the initial filter element life value, Q represents the flow accumulation value of the filter element, Q max represents the maximum flow value of the filter element, R represents the current TDS attenuation rate of the filter element, and R 0 represents the initial TDS attenuation rate of the filter element.
3. 3. The method of cartridge life detection according to claim 1, wherein the step of detecting a cartridge life state based on a comparison of the current cartridge life value and the cartridge replacement threshold value comprises: and responding to the current service life value of the filter element is smaller than the filter element replacement threshold value, determining the service life state of the filter element as the condition that the filter element needs to be replaced, and outputting prompt information for replacing the filter element.
4. 4. The method for detecting the service life of a filter element according to claim 1, wherein the expression for obtaining the current TDS attenuation rate of the filter element is: wherein R represents the current TDS attenuation rate of the filter element, R 0 represents the initial TDS attenuation rate of the filter element, k represents the attenuation constant, and t represents the service time of the filter element.
5. 5. The method for detecting the life of a filter element according to claim 1, wherein the expression for obtaining the flow rate integrated value of the filter element is: Wherein Q represents the flow rate accumulated value of the filter element, Q (t) represents the flow rate value of the filter element in the use time t, and t represents the use time of the filter element.
6. 6. The method for detecting the life of a filter cartridge of claim 1, further comprising: obtaining a TDS value of water in a filter element; determining that the filtration efficiency of the filter element is reduced in response to the TDS value of the water being greater than or equal to a preset threshold value; And/or the number of the groups of groups, The detection method further comprises the following steps: Acquiring the current flow value of the filter element; Determining that the filter element needs to be replaced if the current flow value is smaller than a preset flow value; And/or the number of the groups of groups, The detection method further comprises the following steps: And displaying the service life state of the filter element.
7. 7. A system for detecting the life of a filter cartridge, the system comprising: The first acquisition module is used for acquiring the current TDS attenuation rate of the filter element and the flow accumulated value of the filter element; The second acquisition module is used for acquiring 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; the third acquisition module is used for acquiring 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 the detection module is used for detecting the service life state of the filter element based on the comparison result of the current service life value of the filter element and the filter element replacement threshold value.
8. 8. A smart kitchen appliance comprising a memory, a processor and a computer program stored on the memory for running on the processor, characterized in that the processor implements the method for detecting the life of a filter cartridge according to any one of claims 1 to 6 when executing the computer program.
9. 9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the method for detecting the life of a filter cartridge according to any one of claims 1 to 6.
10. 10. A computer program product comprising a computer program which, when executed by a processor, implements a method of detecting the life of a filter cartridge as claimed in any one of claims 1 to 6.

Description

Filter element service life detection method, system, intelligent kitchen electric appliance, medium and program product Technical Field The disclosure relates to the technical field of intelligent kitchen electricity, in particular to a method and a system for detecting service life of a filter element, intelligent kitchen electricity, a medium and a program product. Background With the improvement of life quality of people, popularization and popularization of technologies such as Internet, big data, artificial intelligence, voice interaction and the like, more and more traditional life modes are gradually changed, and kitchen electricity is gradually used towards an intelligent direction. The functions of various kitchen electric devices tend to be diversified while bringing more convenience to users; cartridge life is a point of great consumer concern because of the costs involved in cartridge replacement and the user experience. The existing filter element life judging modes mainly comprise two types, namely a natural life and a service life, wherein the former computing mode is calculated according to the time of installing a new filter element in the whole machine, and the latter computing mode is used for judging whether the filter element is expired or not by computing the working time of a pump. Whether the life is natural or service life, the method is a cut-off filter element life calculation mode, and has a plurality of limitations. However, various situations exist in the use scene of the actual intelligent kitchen electric energy, such as water quality difference of various places, abrupt change of water quality of a community, different use frequencies of users and the like. Disclosure of Invention The technical problem to be solved by the disclosure is to overcome the defect that the service life of the filter element cannot be accurately judged in the filter element service life calculation mode in the prior art, and provide a filter element service life detection method, a system, an intelligent kitchen dielectric, a medium and a program product. The technical problems are solved by the following technical scheme: The first aspect of the present disclosure provides a method for detecting a lifetime of a filter element, the method comprising: Acquiring the current TDS attenuation rate of the filter element and the flow accumulated value of the filter element; acquiring an initial filter element life value of a filter element, a maximum flow value of the filter element and an initial TDS attenuation rate of the filter element; acquiring 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. Preferably, the expression for obtaining the current filter element lifetime value based on the initial TDS decay rate, the current TDS decay rate, the flow integrated value, the maximum flow value, and the initial filter element lifetime value is: Wherein, L represents the current filter element life value, L 0 represents the initial filter element life value, Q represents the flow accumulation value of the filter element, Q max represents the maximum flow value of the filter element, R represents the current TDS attenuation rate of the filter element, and R 0 represents the initial TDS attenuation rate of the filter element. Preferably, the step of detecting the life state of the filter element based on the comparison of the current filter element life value and the filter element replacement threshold value includes: and responding to the current service life value of the filter element is smaller than the filter element replacement threshold value, determining the service life state of the filter element as the condition that the filter element needs to be replaced, and outputting prompt information for replacing the filter element. Preferably, the expression for obtaining the current TDS attenuation rate of the filter element is: wherein R represents the current TDS attenuation rate of the filter element, R 0 represents the initial TDS attenuation rate of the filter element, k represents the attenuation constant, and t represents the service time of the filter element. Preferably, the expression for obtaining the flow rate integrated value of the filter element is: Wherein Q represents the flow rate accumulated value of the filter element, Q (t) represents the flow rate value of the filter element in the use time t, and t represents the use time of the filter element. Preferably, the detection method further comprises: obtaining a TDS value of water in a filter element; determining that the filtration efficiency of the filter element is redu