Water softener and regeneration control method and device thereof

Abstract

The invention relates to a water softener and a regeneration control method and device thereof, and the method comprises the steps: calculating the number of self-learning regeneration interval days according to the flow measured by a flowmeter of the water softener in a preset time period; the number of flow regeneration interval days is determined according to the flow currently measured by the flow meter; according to the self-learning regeneration interval day number, the flow regeneration interval day number and the preset maximum regeneration interval day number, the regeneration interval day number of the water softener is determined; and under the condition that the regeneration interval days of the water softener are reached, regeneration treatment is started for the water softener. According to the scheme, on one hand, the number of regeneration interval days can be adjusted according to the water using habit of a user so that the number of regeneration interval days can better meet the actual requirement, and on the other hand, the problem that regeneration cannot be conducted in time due to failure of the flowmeter after long-time use can be solved.

Description

Technical Field

[0001] The present application relates to the field of software control, and in particular to a water softener and a regeneration control method thereof. Background Art

[0002] At present, with the improvement of people's living standards, various water softener products have emerged on the market. Water softeners use ion exchange resins to absorb calcium and magnesium ions in water to soften water and reduce scale. When the exchange capacity of the exchange resin is saturated, it is necessary to backwash the softening resin with brine to exchange the calcium and magnesium ions adsorbed on the resin with sodium ions, so that the resin can regain the ability to soften water.

[0003] However, how to ensure that the resin can be regenerated in time when it is saturated or close to saturation is a very critical issue. At present, traditional water softeners adjust the regeneration time by calculating the user's water consumption (flow regeneration), the maximum number of days between regenerations, and the amount of water that can be adjusted according to the number of people. The above methods may have the following disadvantages:

[0004] (1) The calculation is based on the user's water consumption, which is calculated based on the flow meter of the water softener. However, the flow meter may be at risk of attenuation and failure after long-term use.

[0005] (2) Adjusting according to the maximum regeneration interval and the number of people is not very accurate and will affect the user's water experience. Summary of the invention

[0006] In response to the above-mentioned problems, the present application provides a water softener and a regeneration control scheme thereof, which adds a periodic self-learning regeneration interval regeneration based on the user's water use habits on the basis of traditional flow rate regeneration and maximum regeneration interval regeneration.

[0007] According to a first aspect of the present application, a regeneration control method for a water softener is provided, characterized in that it includes:

[0008] Calculating the number of days between self-learning and regeneration according to the flow rate measured by the flow meter of the water softener within a predetermined time period;

[0009] Determine the number of days of flow regeneration interval according to the flow currently measured by the flow meter;

[0010] Determining the regeneration interval of the water softener according to the self-learning regeneration interval, the flow regeneration interval and a preset maximum regeneration interval; and

[0011] When the regeneration interval of the water softener is reached, the regeneration process of the water softener is started.

[0012] According to a second aspect of the present application, a regeneration control device for a water softener is provided, characterized in that it includes:

[0013] A calculation module, used for calculating the number of days of self-learning regeneration interval according to the flow rate measured by the flow meter of the water softener within a predetermined time period;

[0014] A first determination module, used to determine the number of days of flow regeneration interval according to the flow currently measured by the flow meter;

[0015] A second determination module is used to determine the regeneration interval days of the water softener according to the self-learning regeneration interval days, the flow regeneration interval days and a preset maximum regeneration interval days; and

[0016] The regeneration processing module is used to start the regeneration processing of the water softener when the regeneration interval number of days of the water softener is reached.

[0017] According to a third aspect of the present application, a water softener is provided, characterized in that it includes a control valve assembly for executing the method described in the first aspect.

[0018] According to a fourth aspect of the present application, there is provided an electronic device, including:

[0019] Processor; and

[0020] A memory storing computer instructions, which, when executed by the processor, causes the processor to execute the method described in the first aspect.

[0021] According to a fifth aspect of the present application, a non-transitory computer storage medium is provided, storing a computer program, which, when executed by multiple processors, enables the processors to execute the method described in the first aspect.

[0022] According to the water softener and its regeneration control method and device provided by the present application, the regeneration interval is determined by comprehensively considering the three regeneration methods of flow regeneration, self-learning regeneration interval regeneration and maximum regeneration interval regeneration, and regeneration is performed according to the determined regeneration interval. In this way, on the one hand, the regeneration interval can be adjusted according to the user's water use habits, so that the regeneration interval is more in line with actual needs, and on the other hand, the problem of failure to regenerate in time due to failure of the flow meter after long-term use can be avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without exceeding the scope of protection required by the present application.

[0024] Figure 1 It is a schematic diagram of the composition structure of a water softener according to an embodiment of the present application.

[0025] Figure 2 It is a flow chart of a regeneration control method of a water softener according to an embodiment of the present application.

[0026] Figure 3 It is a schematic diagram of a regeneration control device for a water softener according to an embodiment of the present application.

[0027] Figure 4 It is a structural diagram of an electronic device provided by this application. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0029] Figure 1 Schematic diagram of the structure of a water softener according to an embodiment of the present application. Figure 1 As shown, the water softener includes a control valve assembly, a resin tank assembly, a salt box system, a flow meter, an operation display module, etc. The control valve assembly has a main control board, a flow detection module and a water circuit switching module. The control valve assembly can switch the water circuit through flow triggering, time setting and manual operation under program setting conditions. The switching water circuit described in the present invention is that the water circuit system in the machine needs to be changed to meet the functional requirements when the water softener is in normal water production and regeneration. The resin tank assembly is a tank body that holds the regenerated resin. The direction of water flow in the tank body is opposite during regeneration and water production. The flow meter is located at the water inlet end and is used to measure the flow of water. The operation display module is an operation display interface that interacts with people. Users can input parameters and observe the operating status of the machine. The salt box system is a barrel assembly that provides regenerated brine to the resin.

[0030] In an embodiment of the present application, a regeneration control program is run in the control valve assembly, and the regeneration interval days are obtained by grabbing the flow measured by the flow meter and self-learning based on the periodic water usage habits of the user. The regeneration interval days of the water softener are determined based on the self-learned regeneration interval days, the flow regeneration interval days and the preset maximum regeneration interval days. When the regeneration interval days of the water softener are reached, the regeneration process of the water softener is started.

[0031] For regenerative control schemes operating in control valve assemblies, the Figure 2 The illustrated embodiments are described in detail.

[0032] According to one aspect of the present application, a regeneration control method for a water softener is provided. Figure 2 Flowchart of the regeneration control method of the water softener according to the embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0033] Step S201, calculating the number of days between self-learning and regeneration according to the flow rate measured by the flow meter of the water softener within a predetermined time period;

[0034] Step S202, determining the number of days of flow regeneration interval according to the flow currently measured by the flow meter;

[0035] Step S203, determining the regeneration interval of the water softener according to the self-learning regeneration interval, the flow regeneration interval and the preset maximum regeneration interval; and

[0036] Step S204, when the regeneration interval of the water softener is reached, the regeneration process of the water softener is started.

[0037] Since the self-learning regeneration interval is determined based on the flow rate measured by the flow meter of the water softener, according to some embodiments, it is necessary to first determine the time to ensure the reliable accuracy of the flow meter. During the reliable accuracy time of the flow meter, the regeneration interval is continuously determined and adjusted by the flow rate measured by the meter; outside the reliable accuracy time of the flow meter, the regeneration interval is determined based on the reliable accuracy time to determine the regeneration interval of the water softener.

[0038] According to a specific embodiment, the time when the accuracy of the flow meter is reliable is one year (corresponding to the preset regeneration learning time), and 21 consecutive days in one year are a period (corresponding to the first preset time period). The flow measured by the flow meter in the consecutive 21 days is determined and the average daily flow (daily water consumption) is determined. Then, the regeneration interval days are calculated according to the expected water production (corresponding to the first self-learning regeneration interval days). Subsequently, the average daily water consumption in the previous 21 days is calculated once a day (that is, the flow measured by the flow meter of the water softener from the current time to the first preset time period is calculated), and the regeneration interval days are calculated and adjusted, so that the machine is allowed to learn for one year (corresponding to the preset regeneration learning time). During the time when the accuracy of the flow meter is reliable, the regeneration interval days of the water softener are determined by the first self-learning regeneration interval days, the flow regeneration interval days and the preset maximum regeneration interval days.

[0039] According to a specific embodiment, outside the time when the accuracy of the flow meter is reliable, when it reaches one year, the flow meter of the water softener measures the flow rate for half a year (corresponding to the second preset time period) and determines the average daily flow rate (daily water consumption), and then calculates the regeneration interval days (corresponding to the second self-learning regeneration interval days) according to the expected water production. Among them, the second preset time period is any time period within the preset regeneration learning time, and the length can be arbitrary, usually greater than the first preset time period. For example, on the 365th day (corresponding to the day when the preset regeneration learning time is reached), trace back the flow rate measured by the flow meter of the water softener for half a year (corresponding to the second preset time period) and determine the average daily flow rate (daily water consumption), and then calculate the regeneration interval days (corresponding to the second self-learning regeneration interval days) according to the expected water production. When selecting the second preset time period, you can choose a period of time later in the preset regeneration learning time, because this period is closer to the user's current water use habits. Outside the time when the accuracy of the flow meter is reliable, the regeneration interval days of the water softener are determined by the second self-learning regeneration interval days, the flow regeneration interval days, and the preset maximum regeneration interval days.

[0040] Thus, step S201 may include:

[0041] Determining the number of days of the first self-learning regeneration interval according to the flow rate measured by the flow meter of the water softener currently traced back to the first preset time period within the preset regeneration learning time; and

[0042] When the preset regeneration learning time is reached, the second self-learning regeneration interval days are determined according to the flow rate measured by the flow meter of the water softener within a second preset time period, wherein the second preset time period is longer than the first preset time period.

[0043] Step S203 may include:

[0044] Determining the regeneration interval of the water softener according to the first self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval within the preset regeneration learning time;

[0045] When the preset regeneration learning time is reached, the regeneration interval days of the water softener are determined according to the second self-learning regeneration interval days, the flow regeneration interval days and the preset maximum regeneration interval days.

[0046] In the above embodiment, when the preset regeneration learning time is reached, learning is no longer performed based on the flow rate measured by the flow meter. According to other embodiments, when the preset regeneration learning time is reached, learning can also continue based on the flow rate measured by the flow meter.

[0047] According to a specific embodiment, within the preset regeneration learning time (such as one year), multiple preset time periods (corresponding to the third preset time period), such as 60 days, are determined, and the flow rate measured by the flow meter of the water softener within 60 days is counted and the average daily flow rate (daily water consumption) is determined. Then, the regeneration interval days (corresponding to the third self-learning regeneration interval days) are calculated according to the expected water production, so that multiple third self-learning regeneration interval days can be obtained. The smallest interval days among these multiple third self-learning regeneration interval days are determined as the alternative interval days. Then, when the preset regeneration learning time is reached, the average daily flow rate (daily water consumption) is determined based on the flow rate measured by the flow meter of the water softener within 60 days (corresponding to the third preset time period) from the current, and the regeneration interval days are calculated according to the expected water production (corresponding to the current third self-learning regeneration interval days). Finally, the interval days with the smallest value between the alternative interval days and the current third self-learning regeneration interval days are determined as the self-learning regeneration interval days.

[0048] Thus, step S201 may further include:

[0049] During the preset regeneration learning time, a plurality of third self-learning regeneration interval days are correspondingly determined according to the flow rate measured by the flow meter of the water softener within a plurality of third preset time periods;

[0050] Determine the smallest interval number of days among the plurality of three-self-learning regeneration interval numbers of days as the candidate interval number of days;

[0051] When the preset regeneration learning time is reached, determining the current third self-learning regeneration interval days according to the flow rate measured by the flow meter of the water softener from the current traceback to the third preset time period; and

[0052] The interval number with the smallest value between the alternative interval number of days and the current third self-learning regeneration interval number of days is determined as the self-learning regeneration interval number of days.

[0053] In the above embodiment, the situation of not learning according to the flow rate measured by the flow meter and continuing to learn according to the flow rate measured by the flow meter when the preset regeneration learning time is reached is described. According to other embodiments, regardless of whether the preset regeneration learning time is reached, the regeneration interval days are continuously learned in multiple preset time periods, and when a new regeneration interval days is obtained, the new regeneration interval days are compared with the previously obtained regeneration interval days, and the minimum regeneration interval days are determined as the self-learning regeneration interval days.

[0054] According to a specific embodiment, the preset time period is 60 days (corresponding to the fourth preset time period). As the water softener starts to run, there are one or more fourth preset time periods. For each fourth preset time period, the flow rate measured by the flow meter of the water softener within 60 days can be counted and the average daily flow rate (daily water consumption) can be determined. Then, the regeneration interval days (corresponding to the fourth self-learning regeneration interval days) are calculated according to the expected water production. In this way, a fourth self-learning regeneration interval days can be determined for each fourth preset time period, and one or more fourth self-learning regeneration interval days can be obtained. Next, based on the flow rate measured by the flow meter of the water softener within 60 days from the current traceback and the average daily flow rate (daily water consumption), the regeneration interval days are calculated according to the expected water production (corresponding to the current fourth self-learning regeneration interval days). Finally, the interval days with the smallest value between one or more fourth self-learning regeneration interval days and the current fourth self-learning regeneration interval days are determined as the self-learning regeneration interval days.

[0055] Thus, step S201 may include:

[0056] Determine the current fourth self-learning regeneration interval days according to the flow rate measured by the flow meter of the water softener from the current time to the fourth preset time period;

[0057] When there are one or more fourth self-learning regeneration interval days corresponding to the fourth preset time period, the interval with the smallest value between the one or more fourth self-learning regeneration interval days and the current fourth self-learning regeneration interval days is determined as the self-learning regeneration interval days.

[0058] It can be understood that in the above embodiment, the lengths of the preset time periods, including the first preset time period, the second preset time period, the third preset time period and the fourth preset time period, can be set arbitrarily, and the preset time periods can be isolated or overlapped.

[0059] The water softener has a flow calculation module, which can calculate in real time the total actual water consumption L1 of the machine when the new machine is used or since the last regeneration; the water softener has an estimated water production L0 based on the hardness of the user's raw water, and flow regeneration is to determine whether the machine is regenerated by determining whether the actual water consumption L1 reaches the estimated water production L0 set by the program. According to some embodiments, in the process of determining the number of days between flow regeneration based on the flow currently measured by the flow meter, the basis is the estimated water production, that is, whether the flow currently measured by the flow meter reaches the estimated water production. If it does not reach the estimated water production, then in terms of flow regeneration, the regeneration conditions have not been met. For example, since the last regeneration, the water softener has been producing water for 7 days. If the flow currently measured by the flow meter does not reach the estimated water production, it means that the number of days between flow regeneration is greater than 7 days; if the flow currently measured by the flow meter reaches the estimated water production, it means that the number of days between flow regeneration is 7 days.

[0060] According to some embodiments, the preset maximum regeneration interval is the number of days for regeneration isolation to ensure the normal operation of the water softener. The reasons for setting the maximum regeneration interval include: (1) the user does not use the water softener for a long time, and the resin inside the machine is prone to bacteria growth and yellow water, and needs to be regenerated and flushed regularly; (2) the resin of the machine is not regenerated for a long time, and the resin performance will decline, and regular regeneration is required to activate the resin. According to a specific embodiment, the preset maximum regeneration interval can be 14 days.

[0061] According to some embodiments, after determining the self-learning regeneration interval, the flow regeneration interval and the preset maximum regeneration interval, the interval with the smallest value among these three is determined as the regeneration interval of the water softener, and when the regeneration interval of the water softener is reached, the regeneration process of the water softener is started.

[0062] Thus, step S203 includes:

[0063] The smallest interval among the self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval is determined as the regeneration interval of the water softener.

[0064] According to some embodiments, when the water softener is started to regenerate, the flow value measured by the flow meter can be reset to zero in order to facilitate the calculation of the self-learning regeneration interval days and the flow regeneration interval days. According to other embodiments, the flow value measured by the flow meter may not be reset to zero, and the flow measured before regeneration needs to be subtracted in the subsequent calculation of the self-learning regeneration interval days and the flow regeneration interval days.

[0065] Based on the above-mentioned regeneration control method of a water softener, according to another aspect of the present application, a regeneration control device of a water softener is provided. Figure 3 Schematic diagram of a regeneration control device for a water softener according to an embodiment of the present application. Figure 3 As shown, the device includes: a calculation module 301, a first determination module 302, a second determination module 303 and a regeneration processing module 304. The calculation module 301 is used to calculate the self-learning regeneration interval days according to the flow rate measured by the flow meter of the water softener within a predetermined time period; the first determination module 302 is used to determine the flow regeneration interval days according to the flow rate currently measured by the flow meter; the second determination module 303 is used to determine the regeneration interval days of the water softener according to the self-learning regeneration interval days, the flow regeneration interval days and the preset maximum regeneration interval days; the regeneration processing module 304 is used to start the regeneration processing of the water softener when the regeneration interval days of the water softener are reached.

[0066] According to some optional embodiments, the calculation module 301 may be used to:

[0067] Determining the number of days of the first self-learning regeneration interval according to the flow rate measured by the flow meter of the water softener currently traced back to the first preset time period within the preset regeneration learning time; and

[0068] When the preset regeneration learning time is reached, the second self-learning regeneration interval days are determined according to the flow rate measured by the flow meter of the water softener within a second preset time period, wherein the second preset time period is longer than the first preset time period.

[0069] According to some optional embodiments, the second determining module 303 may be used to:

[0070] Determining the regeneration interval of the water softener according to the first self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval within the preset regeneration learning time;

[0071] When the preset regeneration learning time is reached, the regeneration interval days of the water softener are determined according to the second self-learning regeneration interval days, the flow regeneration interval days and the preset maximum regeneration interval days.

[0072] According to some optional embodiments, the calculation module 301 may be used to:

[0073] During the preset regeneration learning time, a plurality of third self-learning regeneration interval days are correspondingly determined according to the flow rate measured by the flow meter of the water softener within a plurality of third preset time periods;

[0074] Determine the smallest interval number of days among the plurality of three-self-learning regeneration interval numbers of days as the candidate interval number of days;

[0075] When the preset regeneration learning time is reached, determining the current third self-learning regeneration interval days according to the flow rate measured by the flow meter of the water softener from the current traceback to the third preset time period; and

[0076] The interval number with the smallest value between the alternative interval number of days and the current third self-learning regeneration interval number of days is determined as the self-learning regeneration interval number of days.

[0077] According to some optional embodiments, the calculation module 301 may be used to:

[0078] Determine the current fourth self-learning regeneration interval days according to the flow rate measured by the flow meter of the water softener from the current time to the fourth preset time period;

[0079] When there are one or more fourth self-learning regeneration interval days corresponding to the fourth preset time period, the interval with the smallest value between the one or more fourth self-learning regeneration interval days and the current fourth self-learning regeneration interval days is determined as the self-learning regeneration interval days.

[0080] According to some optional embodiments, the second determining module 303 may be used to:

[0081] The smallest interval among the self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval is determined as the regeneration interval of the water softener.

[0082] According to the water softener and its regeneration control method and device provided by the present application, the regeneration interval is determined by comprehensively considering the three regeneration methods of flow regeneration, self-learning regeneration interval regeneration and maximum regeneration interval regeneration, and regeneration is performed according to the determined regeneration interval. In this way, on the one hand, the regeneration interval can be adjusted according to the user's water use habits, so that the regeneration interval is more in line with actual needs, and on the other hand, the problem of failure to regenerate in time due to failure of the flow meter after long-term use can be avoided.

[0083] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0084] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0085] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical connection or other forms.

[0086] See also Figure 4 , Figure 4 An electronic device is provided, comprising a processor and a memory. The memory stores computer instructions, and when the computer instructions are executed by the processor, the processor executes the computer instructions to achieve the following Figure 2 The method and refinement scheme shown.

[0087] It should be understood that the above device embodiments are only illustrative, and the device disclosed in the present invention can also be implemented in other ways. For example, the division of units / modules described in the above embodiments is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units, modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0088] In addition, unless otherwise specified, each functional unit / module in each embodiment of the present invention may be integrated into one unit / module, each unit / module may exist physically separately, or two or more units / modules may be integrated together. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of a software program module.

[0089] If the integrated unit / module is implemented in the form of hardware, the hardware may be a digital circuit, an analog circuit, etc. The physical implementation of the hardware structure includes but is not limited to transistors, memristors, etc. If not otherwise specified, the processor or chip may be any appropriate hardware processor, such as a CPU, a GPU, an FPGA, a DSP, an ASIC, etc. If not otherwise specified, the on-chip cache, the off-chip memory, and the memory may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc.

[0090] If the integrated unit / module is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer electronic device (which can be a personal computer, a server or a network electronic device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0091] The present application also provides a non-transitory computer storage medium storing a computer program. When the computer program is executed by multiple processors, the processors execute the following Figure 2 The method and refinement scheme shown.

[0092] The embodiments of the present application are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and its core idea of ​​the present application. At the same time, changes or deformations made by those skilled in the art based on the ideas of the present application, the specific implementation methods and the scope of application of the present application, all belong to the scope of protection of the present application. In summary, the content of this specification should not be construed as a limitation on the present application.

Claims

1. A regeneration control method for a water softener, characterized in that: include: Calculating the number of days between self-learning and regeneration according to the flow rate measured by the flow meter of the water softener within a predetermined time period; Determine the number of days of flow regeneration interval according to the flow currently measured by the flow meter; Determining the regeneration interval of the water softener according to the self-learning regeneration interval, the flow regeneration interval and the preset maximum regeneration interval; as well as When the regeneration interval of the water softener is reached, the regeneration process of the water softener is started.

2. The method according to claim 1, characterized in that The method of determining the number of days between self-learning and regeneration according to the flow rate measured by the flow meter of the water softener within a predetermined time period includes: Determining the number of days of the first self-learning regeneration interval according to the flow rate measured by the flow meter of the water softener currently traced back to the first preset time period within the preset regeneration learning time; and When the preset regeneration learning time is reached, the second self-learning regeneration interval days are determined according to the flow rate measured by the flow meter of the water softener within a second preset time period, wherein the second preset time period is longer than the first preset time period.

3. The method according to claim 2, characterized in that The step of determining the regeneration interval of the water softener according to the self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval comprises: Determining the regeneration interval of the water softener according to the first self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval within the preset regeneration learning time; When the preset regeneration learning time is reached, the regeneration interval days of the water softener are determined according to the second self-learning regeneration interval days, the flow regeneration interval days and the preset maximum regeneration interval days.

4. The method according to claim 1, characterized in that The method of determining the number of days between self-learning and regeneration according to the flow rate measured by the flow meter of the water softener within a predetermined time period includes: During the preset regeneration learning time, a plurality of third self-learning regeneration interval days are correspondingly determined according to the flow rate measured by the flow meter of the water softener within a plurality of third preset time periods; Determine the smallest interval number of days among the plurality of three-self-learning regeneration interval numbers of days as the candidate interval number of days; When the preset regeneration learning time is reached, determining the current third self-learning regeneration interval days according to the flow rate measured by the flow meter of the water softener from the current traceback to the third preset time period; and The interval number with the smallest value between the alternative interval number of days and the current third self-learning regeneration interval number of days is determined as the self-learning regeneration interval number of days.

5. The method according to claim 1, characterized in that The method of determining the number of days between self-learning and regeneration according to the flow rate measured by the flow meter of the water softener within a predetermined time period includes: Determine the current fourth self-learning regeneration interval days according to the flow rate measured by the flow meter of the water softener from the current time to the fourth preset time period; When there are one or more fourth self-learning regeneration interval days corresponding to the fourth preset time period, the interval with the smallest value between the one or more fourth self-learning regeneration interval days and the current fourth self-learning regeneration interval days is determined as the self-learning regeneration interval days.

6. The method according to any one of claims 1 to 5, characterized in that: The step of determining the regeneration interval of the water softener according to the self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval comprises: The smallest interval among the self-learning regeneration interval, the flow rate regeneration interval and the preset maximum regeneration interval is determined as the regeneration interval of the water softener.

7. A regeneration control device for a water softener, characterized in that: include: A calculation module, used for calculating the number of days of self-learning regeneration interval according to the flow rate measured by the flow meter of the water softener within a predetermined time period; A first determination module, used to determine the number of days of flow regeneration interval according to the flow currently measured by the flow meter; A second determination module is used to determine the regeneration interval days of the water softener according to the self-learning regeneration interval days, the flow regeneration interval days and a preset maximum regeneration interval days; as well as The regeneration processing module is used to start the regeneration processing of the water softener when the regeneration interval number of days of the water softener is reached.

8. A water softener, characterized in that: The invention comprises a control valve assembly for executing the method according to any one of claims 1 to 6.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the method according to any one of claims 1 to 6 when executing the computer program in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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