Breast pump recommendation method and device, breast pump and storage medium

Abstract

The invention relates to the field of maternal and infant products, and provides a recommended breast pumping method of a breast pump and related equipment, the method comprises the following steps: obtaining a plurality of historical breast pumping data, the breast pumping data at least comprising breast pumping parameter data of a plurality of historical breast pumping periods or breast pumping parameter data in a plurality of preset breast pumping periods; at least one piece of recommended milk sucking data is generated according to the milk sucking parameter data of the multiple historical milk sucking periods or the milk sucking parameter data in the multiple preset milk sucking periods, and each piece of recommended milk sucking data corresponds to one callable milk sucking period or milk sucking parameter in the milk sucking period. According to the method, the recommended breast pumping data are generated through the historical breast pumping data, each piece of recommended breast pumping data corresponds to one callable breast pumping period or the breast pumping parameter in the breast pumping period, so that the breast pump is controlled to work through the breast pumping parameters, and the most suitable breast pumping mode is provided for each mother.

Description

Technical Field

[0001] The present invention relates to the field of maternal and infant products, and in particular to a recommended milk pumping method and device for a breast pump, a breast pump and a storage medium. Background Art

[0002] Current breast pumps are equipped with a variety of milk extraction modes for users to choose from, including but not limited to lactation mode, milk extraction mode, frequency conversion mode, massage mode, etc.

[0003] However, each mother's physical condition is different, and the same milk-sucking mode will produce different milk-sucking effects for different mothers. Therefore, when using a breast pump, users need to keep trying and spend a lot of time to determine the milk-sucking mode that suits them best.

[0004] Therefore, how to provide a breastfeeding mode suitable for different mothers is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the shortcomings of the prior art, the purpose of the present invention is to provide each user with a breast pumping mode that is most suitable for him or her.

[0006] In a first aspect, an embodiment of the present application provides a method for recommending milk pumping of a breast pump, the method comprising: acquiring a plurality of historical milk pumping data, the milk pumping data comprising at least milk pumping parameter data of a plurality of historical milk pumping cycles or milk pumping parameter data within a plurality of preset milk pumping time periods; generating at least one piece of recommended milk pumping data based on the milk pumping parameter data of the plurality of historical milk pumping cycles or the milk pumping parameter data within a plurality of preset milk pumping time periods, each piece of recommended milk pumping data corresponding to a callable milk pumping parameter within a milk pumping cycle or milk pumping time period.

[0007] The above technical solution generates recommended milk suction data through historical milk suction data, and each recommended milk suction data corresponds to a callable milk suction parameter within a milk suction cycle or milk suction period, so as to control the operation of the breast pump through the milk suction parameters and provide each mother with the most suitable milk suction mode.

[0008] In a possible implementation manner of the first aspect, the milk suction parameter data includes at least one or more of milk suction gear data, milk suction frequency data, milk suction mode data, milk suction time data, total milk suction volume data of a milk suction cycle, milk suction volume curve data, milk suction flow curve data, and body physiological monitoring data of the user during the milk suction process.

[0009] In a possible implementation of the first aspect, at least one piece of recommended milk pumping data is generated based on milk pumping parameter data of multiple historical milk pumping cycles or milk pumping parameter data within multiple preset milk pumping time periods, including: based on the milk pumping parameter data of multiple historical milk pumping cycles or milk pumping parameter data within multiple preset milk pumping time periods, determining milk pumping data with the highest milk pumping efficiency in a historical milk pumping cycle or milk pumping data with the highest milk pumping efficiency in a preset milk pumping time period among the historical milk pumping data as the recommended milk pumping data.

[0010] In the above implementation, a recommended milk pumping data with the highest milk pumping efficiency is recommended to the user to meet the user's demand for fast milk pumping.

[0011] In a possible implementation of the first aspect, generating at least one piece of recommended milk pumping data based on milk pumping parameter data of multiple historical milk pumping cycles or milk pumping parameter data within multiple preset milk pumping time periods includes: determining the most comfortable milk pumping data for the user in a historical milk pumping cycle or the most comfortable milk pumping data for the user in a preset milk pumping time period among the historical milk pumping data as the recommended milk pumping data.

[0012] In the above implementation, the most comfortable breast pumping data is recommended to the user to meet the user's needs for comfortable breast pumping.

[0013] In a possible implementation manner of the first aspect, the plurality of historical milk pumping data are derived from a plurality of historical milk pumping data of a same user or a same breast pump.

[0014] In the above implementation, the multiple historical milk pumping data are derived from the multiple historical milk pumping data of the same user or the same breast pump, so that the recommended milk pumping data is closer to the user's own physical condition and protects privacy and security.

[0015] In a possible implementation manner of the first aspect, the plurality of historical milk pumping data are derived from a plurality of historical data of a plurality of users or a plurality of breast pumps.

[0016] In the above implementation, the multiple historical breast pumping data are derived from multiple historical data of multiple users or multiple breast pumps. Through big data analysis, the recommended breast pumping data can be closer to the user's own physical condition.

[0017] In a possible implementation manner of the first aspect, the multiple historical data are derived from cloud data stored in the server.

[0018] In a possible implementation manner of the first aspect, the milk pumping parameter data with the highest milk pumping efficiency is the milk pumping parameter data with the highest milk pumping volume within a milk pumping cycle or a preset milk pumping time period calculated based on the milk pumping flow curve data.

[0019] In a possible implementation of the first aspect, the milk sucking parameter data with the highest milk sucking efficiency is the milk sucking parameter data with the highest milk sucking volume calculated based on the milk sucking volume data or the milk sucking volume curve data within a milk sucking cycle or a preset milk sucking time period.

[0020] In a possible implementation of the first aspect, the most comfortable milk sucking data for the user comes from the user's body physiological monitoring data during the milk sucking process, and the user's body physiological monitoring data during the milk sucking process includes at least one of heartbeat monitoring data, pulse monitoring data, blood pressure monitoring data, breathing data, skin reaction monitoring data, expression monitoring data, and blood oxygen saturation data.

[0021] In a possible implementation manner of the first aspect, the method further includes: after the breast pump is turned on, automatically calling the recommended milk pumping data and executing it directly or after confirmation by the user.

[0022] In the above implementation, automatically calling the recommended milk pumping data after powering on and directly executing it or executing it after the user confirms it can improve the intelligence of the breast pump.

[0023] In a possible implementation manner of the first aspect, the method further includes: there are multiple recommended milk pumping data, and the user selects one of the recommended milk pumping data and confirms and then calls and executes the selected recommended milk pumping data.

[0024] In a possible implementation manner of the first aspect, the recommended milk pumping data is displayed in an application of the breast pump executed by an electronic device that communicates with the breast pump.

[0025] In a possible implementation of the first aspect, the recommended milk pumping data is stored in a breast pump data storage mechanism or a server, and is called through a control interface or button on the breast pump.

[0026] In a possible implementation manner of the first aspect, the method further includes: receiving a recommended milk pumping data trigger signal; and controlling the breast pump to operate according to the recommended milk pumping data when the recommended milk pumping data trigger signal is received.

[0027] In the above implementation, the user can independently choose whether to enter the milk pumping mode corresponding to the milk pumping parameters of the recommended milk pumping data.

[0028] In a possible implementation manner of the first aspect, receiving a recommended milk sucking data trigger signal includes: receiving a recommended milk sucking data trigger signal generated when a recommended milk sucking data trigger module in a breast pump is triggered.

[0029] In a possible implementation manner of the first aspect, receiving a recommended milk pumping data trigger signal includes: receiving a recommended milk pumping data trigger signal sent by an electronic device that communicates with a breast pump.

[0030] In a possible implementation manner of the first aspect, after generating at least one piece of recommended milk pumping data, the method further includes: setting the recommended milk pumping data as a default milk pumping mode of the breast pump.

[0031] In a second aspect, an embodiment of the present application provides a recommended milk suction device for a breast pump, the device comprising: an acquisition unit, used to acquire multiple historical milk suction data, the milk suction data at least including milk suction parameter data of multiple historical milk suction cycles or milk suction parameter data within multiple preset milk suction time periods; a determination unit, used to generate at least one recommended milk suction data based on the milk suction parameter data of multiple historical milk suction cycles or the milk suction parameter data within multiple preset milk suction time periods, each recommended milk suction data corresponds to an adjustable milk suction parameter within a milk suction cycle or milk suction time period.

[0032] In a third aspect, an embodiment of the present application provides a breast pump, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for generating a milk pumping pattern as in the first aspect and any implementation of the first aspect.

[0033] In a possible implementation manner of the third aspect, the breast pump further includes: a recommended milk suction data trigger module; when the recommended milk suction data trigger module is triggered, a recommended milk suction data trigger signal is generated, and the recommended milk suction data trigger signal is used to make the breast pump work according to the recommended milk suction data.

[0034] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores an executable program, and the executable program is executed by a processor to implement the recommended milk extraction method of a breast pump as in the first aspect and any implementation of the first aspect. In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the recommended milk pumping method of a breast pump as in the first aspect and any implementation manner of the first aspect.

[0035] Among them, the beneficial effects of the second aspect, the third aspect, the fourth aspect and the fifth aspect can refer to the first aspect and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the structure of a breast pump provided in an embodiment of the present application.

[0037] Figure 2 It is a flowchart of a recommended milk pumping method of the breast pump provided in an embodiment of the present application.

[0038] Figure 3This is another flowchart of a recommended milk pumping method for a breast pump provided in an embodiment of the present application.

[0039] Figure 4 It is a schematic diagram of a recommended milk extraction device of a breast pump provided in an embodiment of the present application.

[0040] Figure 5 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0041] Figure 6 It is a structural block diagram of a computer-readable storage medium provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] 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 only 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 ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0044] See also Figure 1 , Figure 1 It is a schematic diagram of the structure of a breast pump provided in an embodiment of the present application.

[0045] like Figure 1 As shown, the breast pump 1 comprises a breast shield 10 , a milk storage container 20 and a host 30 .

[0046] The breast shield 10 is used to cover the human breast and fit with the breast. The breast shield 10 includes a trumpet-shaped flange for fitting the breast and a nipple channel for accommodating the nipple. In some cases, the nipple channel can also be arranged in the milk storage container 20.

[0047] The milk storage container 20 is used to receive and store breast milk collected by the breast shield 10 , and the milk storage container 20 is in communication with the breast shield 10 .

[0048] Optionally, the milk storage container 20 includes a milk cap, a milk bowl, a milk bottle, etc., which is not limited in the present application.

[0049] The host 30 is also provided with a negative pressure mechanism, which can directly or indirectly apply negative pressure to the breast shield 10 to suck breast milk into the milk storage container 20 .

[0050] Negative pressure mechanisms include, but are not limited to, piezoelectric pumps, diaphragm pumps, hydraulic pumps, mechanical pumps, and the like.

[0051] Optionally, the host 30 may also include one or more components such as a power supply module, a negative pressure air circuit, a control circuit board, and a solenoid valve.

[0052] The energy supply module is used to provide energy to the negative pressure mechanism to support the operation of the negative pressure mechanism. Specifically, the energy supply module can be a storage battery, a dry cell, or can be directly connected to an external power source through a power cord.

[0053] Understandably, Figure 1 Only one optional structure of a breast pump is illustrated, but it does not mean that the present application must be applied to a breast pump with the above structure. The breast pump can also be in a form where the main unit is separated from the milk storage container. For example, the main unit is connected to the milk storage container through an air pipe, or the main unit is arranged on the upper part of the milk storage container, and the breast shield is arranged between the main unit and the milk storage container. The present application does not limit the structure of the milk storage container.

[0054] See also Figure 2 , Figure 2 Schematic diagram of the recommended method of sucking milk by the breast pump provided in the embodiment of the present application. Figure 2 As shown, the recommended milk expressing method 100 of a breast pump includes steps 110 to 120 .

[0055] Step 110: Acquire a plurality of historical milk pumping data, where the milk pumping data at least includes milk pumping parameter data of a plurality of historical milk pumping cycles or milk pumping parameter data within a plurality of preset milk pumping time periods.

[0056] The milking cycle in the breast pump includes: the complete milking process of each mode and the complete milking process of the milking amount target set by the user.

[0057] The breast pump has at least one milk extraction mode that can be directly called by the user. Optionally, if the user calls the mode to perform milk extraction once and does not terminate the mode (it can be paused and then continued), it is considered a complete milk extraction process. Optionally, if the milk extraction time or the amount of milk extracted reaches the standard (it can be that the mode is terminated after reaching the standard) when the user calls the mode, it is considered that the milk extraction process is not a complete milk extraction process.

[0058] Among them, the milk suction parameter data at least includes one or more of the milk suction gear data, milk suction frequency data, milk suction mode data, milk suction time data, total milk suction volume data of a milk suction cycle, milk suction volume curve data, milk suction flow curve data, and body physiological monitoring data of the user during the milk suction process.

[0059] Specifically, the breast pump is provided with a plurality of gears, and at least one of the milk suction force and the milk suction frequency in different gears is different.

[0060] Specifically, the breast pump is provided with a plurality of modes, such as a lactation mode, a milk extraction mode and a mixed mode.

[0061] Specifically, the milk suction amount curve data reflects the change in the mother's milk production at different times, and may be a curve with one coordinate axis being time and the other coordinate axis being the amount of milk stored in the storage container.

[0062] Specifically, the milk suction flow curve data reflects the change in milk flow during the milk suction process. The flow section from the milk flowing out of the breast to the milk storage container is defined as the milk flow path. The flow on the milk flow path can be measured to obtain the milk suction flow curve data.

[0063] Specifically, the user's body physiological monitoring data during the breastfeeding process includes at least one of heartbeat monitoring data, pulse monitoring data, blood pressure monitoring data, breathing monitoring data, skin reaction monitoring data, expression monitoring data, and blood oxygen saturation data.

[0064] Each recommended milking data corresponds to a milking parameter that can be called during a milking cycle or a milking period. The milking parameter can be used to control the operation of the breast pump, thereby providing the user with a milking mode that is different from the preset mode and is most suitable for the user. The milking parameter includes one or more of the milking duration, suction force, milking frequency, and the milking components called. The milking components that can be called in the breast pump include massage components, hot compress components, etc., which are not limited in this application.

[0065] In some cases, the multiple historical milk pumping data are derived from multiple historical milk pumping data of the same user or the same breast pump. In other cases, the multiple historical milk pumping data are derived from multiple historical data of multiple users or multiple breast pumps, such as multiple historical data derived from cloud data stored in a server.

[0066] Step 120: Generate at least one piece of recommended milking data based on the milking parameter data of multiple historical milking cycles or the milking parameter data of multiple preset milking time periods, each piece of recommended milking data corresponds to a callable milking parameter in a milking cycle or milking time period.

[0067] In a possible implementation, step 120 includes the steps of: determining, based on the milk pumping parameter data of multiple historical milk pumping cycles or the milk pumping parameter data within multiple preset milk pumping time periods, the milk pumping data with the highest milk pumping efficiency in a historical milk pumping cycle or the milk pumping data with the highest milk pumping efficiency in a preset milk pumping time period among the historical milk pumping data as the recommended milk pumping data.

[0068] The milk pumping parameters of the recommended milk pumping data may be a copy of the milk pumping parameters in a historical milk pumping cycle corresponding to the milk pumping data with the highest milk pumping efficiency, or a copy of the milk pumping parameters in a preset milk pumping period with the highest milk pumping efficiency.

[0069] Depending on the different milk pumping parameter data, there are different ways to determine the highest milk pumping efficiency.

[0070] In some cases, the milk pumping parameter data with the highest milk pumping efficiency is the milk pumping parameter data with the highest milk pumping volume within a milk pumping cycle or a preset milk pumping period calculated based on the milk pumping flow curve data.

[0071] The area enclosed by the flow curve and the time axis in the milk suction flow curve data is the milk suction volume.

[0072] In other cases, the milk pumping parameter data with the highest milk pumping efficiency is the milk pumping parameter data with the highest milk pumping volume calculated based on the milk pumping volume data or the milk pumping volume curve data within a milk pumping cycle or a preset milk pumping period.

[0073] The above implementation method can recommend the milk pumping mode with the highest milk pumping efficiency to the user.

[0074] In another possible implementation, step 120 includes the step of determining, based on the milk pumping parameter data of multiple historical milk pumping cycles or the milk pumping parameter data of multiple preset milk pumping time periods, the most comfortable milk pumping data for the user in a historical milk pumping cycle among the historical milk pumping data or the most comfortable milk pumping data for the user in a preset milk pumping time period as the recommended milk pumping data.

[0075] The milk pumping parameters of the recommended milk pumping data may be a copy of the milk pumping parameters in a historical milk pumping cycle corresponding to the milk pumping data that is most comfortable for the user, or a copy of the milk pumping parameters in a preset milk pumping period that is most comfortable for the user.

[0076] Among them, the most comfortable milk-sucking data for the user can be judged through the user's body physiological monitoring data during the milk-sucking process.

[0077] For example, under normal circumstances, if the user feels comfortable, their heartbeat and pulse will remain in a relatively stable range without much fluctuation. If the heartbeat and pulse increase significantly, it may indicate that the user feels nervous, uncomfortable or in pain.

[0078] As an example, during comfortable breastfeeding, the user's blood pressure should remain within the normal range without significant fluctuations. A sudden increase in blood pressure may mean that the user is experiencing discomfort or pain.

[0079] As an example, a user's breathing should be steady and rhythmic when expressing comfortably. Rapid or irregular breathing may indicate that the user is nervous, uncomfortable, or in pain.

[0080] For example, when a user is comfortably pumping milk, their facial expression will usually appear relaxed and happy. If the user has an expression such as frowning, it may indicate that the user is experiencing discomfort or pain.

[0081] As an example, under normal circumstances, blood oxygen saturation should be maintained above 95%. If the blood oxygen saturation drops, it may indicate that the user is having difficulty breathing or has other physical problems.

[0082] The above implementation method can recommend the most comfortable recommended breastfeeding data to the user.

[0083] Furthermore, after obtaining the recommended milking data, the recommended milking data can be automatically applied to the user. In this case, the method 100 of the present application further includes the step of automatically calling the recommended milking data after the breast pump is turned on and executing it directly or after confirmation by the user.

[0084] Optionally, the recommended milk pumping data is automatically called after the breast pump is turned on, and if the user does not select a milk pumping mode or adjust a milk pumping gear after the breast pump is turned on, the recommended milk pumping data is automatically applied to pump milk.

[0085] Optionally, if the user does not select a milk pumping mode or adjust a milk pumping gear after the breast pump is turned on, a confirmation control is displayed on the display screen of the breast pump or on the display screen of an electronic device that communicates with the breast pump. After the user clicks the confirmation control, the recommended milk pumping data is applied to perform milk pumping.

[0086] Furthermore, if there are multiple recommended milking data, the user selects one of the recommended milking data and confirms it before calling and executing it. For example, a selection sub-control is set for each recommended milking data in the area where the confirmation control is displayed. After the user selects the selection sub-control corresponding to one of the recommended milking data, the recommended milking data can be called and executed by clicking the confirmation control.

[0087] In some embodiments, the recommended milk expression data is displayed in an application of the breast pump executed by an electronic device in communication with the breast pump.

[0088] The recommended milk pumping data may be displayed in an application of the breast pump running on an electronic device that communicates with the breast pump, so that the user can select, delete, and modify the recommended milk pumping data through the application.

[0089] In some embodiments, the recommended milk pumping data is stored in a breast pump data storage mechanism or a server and is called up through a control interface or button on the breast pump.

[0090] The breast pump data storage mechanism may be various memories, and the memories may be arranged in the host of the breast pump.

[0091] See also Figure 3 , Figure 3 FIG. 2 is another flow chart of a recommended method for sucking milk using a breast pump provided in an embodiment of the present application. Figure 3 As shown, the recommended milk expressing method 100 of a breast pump includes steps 110 to 140 .

[0092] Step 110: Acquire a plurality of historical milk pumping data, where the milk pumping data at least includes milk pumping parameter data of a plurality of historical milk pumping cycles or milk pumping parameter data within a plurality of preset milk pumping time periods.

[0093] For details, please refer to the introduction in the above part of the manual, which will not be repeated here.

[0094] Step 120: Generate at least one piece of recommended milking data based on the milking parameter data of multiple historical milking cycles or the milking parameter data of multiple preset milking time periods, each piece of recommended milking data corresponds to a callable milking parameter in a milking cycle or milking time period.

[0095] For details, please refer to the introduction in the above part of the manual, which will not be repeated here.

[0096] Step 130: Receive a recommended milk pumping data trigger signal.

[0097] In a possible implementation, step 130 includes: receiving a recommended milk sucking data trigger signal generated when a recommended milk sucking data trigger module in the breast pump is triggered.

[0098] Among them, the recommended milking data trigger module in the breast pump can be a virtual space displayed on the display screen on the host, or it can be a physical control set on the host or the milk storage container, such as a key, button, switch, etc.

[0099] In another possible implementation, step 130 includes: receiving a recommended milk pumping data trigger signal sent by an electronic device that communicates with the breast pump.

[0100] Step 140: upon receiving a recommended milk pumping data trigger signal, controlling the breast pump to operate according to the recommended milk pumping data.

[0101] In the above embodiment, the user can independently choose whether to work with the recommended breastfeeding data.

[0102] Optionally, the recommended milk suction data can also be directly set as the default milk suction mode, that is, the default milk suction mode is generated according to the milk suction parameters of the recommended milk suction data. In this case, after step 120, the method 100 of the present application also includes the step of setting the recommended milk suction data as the default milk suction mode of the breast pump.

[0103] See also Figure 4 , Figure 4 Schematic diagram of a recommended milk extraction device of a breast pump provided in an embodiment of the present application. Figure 4 As shown, the recommended milk extraction device 200 of a breast pump includes an obtaining unit 210 and a determining unit 220 .

[0104] An acquisition unit 210 is used to acquire a plurality of historical milking data, where the milking data at least includes milking parameter data of a plurality of historical milking cycles or milking parameter data within a plurality of preset milking time periods; The determination unit 220 is used to generate at least one recommended milking data according to the milking parameter data of multiple historical milking cycles or the milking parameter data of multiple preset milking time periods, each of which corresponds to a milking parameter in an available milking cycle or milking time period. Any of the above-mentioned units may also execute the remaining steps of the recommended milk extraction method of the breast pump in any embodiment of the specification, or the recommended milk extraction device 200 of the breast pump may also be provided with other units to execute the remaining steps of the recommended milk extraction method of the breast pump in any embodiment of the specification, which will not be repeated here.

[0105] Please refer to Figure 5 , Figure 5 Schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 5 As shown, the electronic device 300 includes: one or more processors 310 and a memory 320, Figure 5 A processor 310 is taken as an example.

[0106] In some implementations, the processor 310 and the memory 320 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0107] In some embodiments, the processor 310 is used to obtain a plurality of historical milk pumping data, the milk pumping data at least including milk pumping parameter data of a plurality of historical milk pumping cycles or milk pumping parameter data within a plurality of preset milk pumping time periods; based on the milk pumping parameter data of the plurality of historical milk pumping cycles or the milk pumping parameter data within a plurality of preset milk pumping time periods, generate at least one piece of recommended milk pumping data, each piece of recommended milk pumping data corresponds to a callable milk pumping parameter within a milk pumping cycle or milk pumping time period.

[0108] In some embodiments, the memory 320 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules of the control method of the electronic device in the embodiment of the present application. The processor 310 executes various functional applications and data processing of the electronic device by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, to implement the recommended milk extraction method of the breast pump of the above method embodiment.

[0109] In some embodiments, the memory 320 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 320 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 320 may optionally include a memory remotely arranged relative to the processor 310, and these remote memories may be connected to the controller via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0110] In some embodiments, one or more modules are stored in the memory 320, and when executed by one or more processors 310, the recommended milking method of the breast pump in any of the above method embodiments is executed, for example, the above described Figure 2 Method steps 110 to 120 in.

[0111] Please refer to Figure 6 , Figure 6 The computer-readable storage medium 400 stores a program code 410, which can be called by a processor to execute the recommended milk extraction method of the breast pump described in the above method embodiment.

[0112] The computer-readable storage medium 400 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium 400 has a storage space for program codes for executing any method steps in the above control method. These program codes may be read from or written to one or more computer program products. The program code may be compressed, for example, in an appropriate form.

[0113] The present application also provides a computer program product, which includes: a computer program (also referred to as code, or instruction), which enables a computer to execute a method in any of the above method embodiments when the computer program is executed.

[0114] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0115] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0117] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, 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 storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk, etc., which can store program code.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A recommended milk pumping method for a breast pump, characterized in that: The method comprises: Acquire a plurality of historical milking data, wherein the milking data at least includes milking parameter data of a plurality of historical milking cycles or milking parameter data within a plurality of preset milking time periods; At least one piece of recommended milking data is generated based on the milking parameter data of multiple historical milking cycles or the milking parameter data of multiple preset milking time periods, and each piece of the recommended milking data corresponds to a milking parameter in an available milking cycle or milking time period.

2. The method according to claim 1, characterized in that The milk suction parameter data includes at least one or more of milk suction gear data, milk suction frequency data, milk suction mode data, milk suction duration data, total milk suction volume data of a milk suction cycle, milk suction volume curve data, milk suction flow curve data, and body physiological monitoring data of the user during the milk suction process.

3. The method according to claim 2, characterized in that The step of generating at least one piece of recommended milking data based on the milking parameter data of multiple historical milking cycles or the milking parameter data of multiple preset milking time periods includes: Based on the milk suction parameter data of multiple historical milk suction cycles or the milk suction parameter data within multiple preset milk suction time periods, the milk suction data with the highest milk suction efficiency in a historical milk suction cycle or the milk suction data with the highest milk suction efficiency in a preset milk suction time period among the historical milk suction data is determined as the recommended milk suction data.

4. The method according to claim 2, characterized in that: The step of generating at least one piece of recommended milking data based on the milking parameter data of multiple historical milking cycles or the milking parameter data of multiple preset milking time periods includes: Based on the milk pumping parameter data of multiple historical milk pumping cycles or the milk pumping parameter data of multiple preset milk pumping time periods, the most comfortable milk pumping data for the user in a historical milk pumping cycle among the historical milk pumping data or the most comfortable milk pumping data for the user in a preset milk pumping time period is determined as the recommended milk pumping data.

5. The method according to claim 1, characterized in that The multiple historical milk pumping data are derived from multiple historical milk pumping data of the same user or the same breast pump.

6. The method according to claim 1, characterized in that The multiple historical milk pumping data are derived from multiple historical data of multiple users or multiple breast pumps.

7. The method according to claim 6, characterized in that The multiple historical data are derived from cloud data stored in the server.

8. The method according to claim 3, characterized in that The milk sucking parameter data with the highest milk sucking efficiency is the milk sucking parameter data with the highest milk sucking volume within a milk sucking cycle or a preset milk sucking time period calculated based on the milk sucking flow curve data.

9. The method according to claim 3, characterized in that: The milk sucking parameter data with the highest milk sucking efficiency is the milk sucking parameter data with the highest milk sucking volume within a milk sucking cycle or a preset milk sucking time period calculated based on the milk sucking volume data or the milk sucking volume curve data.

10. The method according to claim 4, characterized in that The most comfortable milk-sucking data for the user comes from the body physiological monitoring data of the user during the milk-sucking process, and the body physiological monitoring data of the user during the milk-sucking process includes at least one of heartbeat monitoring data, pulse monitoring data, blood pressure monitoring data, breathing monitoring data, skin reaction monitoring data, expression monitoring data, and blood oxygen saturation data.

11. The method according to claim 1, characterized in that: The method further comprises: automatically calling the recommended milk pumping data after the breast pump is turned on and executing the data directly or after confirmation by the user.

12. The method according to claim 1, characterized in that The method further includes: the recommended milking data are multiple, and the user selects one of the recommended milking data and confirms and then calls and executes it.

13. The method according to claim 1, characterized in that The recommended milk expression data is displayed in an application of the breast pump executed by an electronic device in communication with the breast pump.

14. The method according to claim 1, characterized in that The recommended milk pumping data is stored in a breast pump data storage mechanism or a server, and is called through a control interface or a button on the breast pump.

15. The method according to claim 1, characterized in that The method further comprises: Receiving a recommended breast pumping data trigger signal; When the recommended milk pumping data trigger signal is received, the breast pump is controlled to operate according to the recommended milk pumping data.

16. The method according to claim 15, characterized in that The receiving of the recommended breastfeeding data trigger signal comprises: A recommended milk sucking data trigger signal generated when a recommended milk sucking data trigger module in the breast pump is triggered is received.

17. The method according to claim 15, characterized in that The receiving of the recommended breastfeeding data trigger signal comprises: The recommended milk pumping data trigger signal is received from an electronic device that communicates with the breast pump.

18. The method according to claim 1, characterized in that After generating at least one piece of recommended milk pumping data, the method further includes: The recommended milk expression data is set as a default milk expression mode of the breast pump.

19. A recommended milk extraction device for a breast pump, characterized in that: The device comprises: An acquisition unit, configured to acquire a plurality of historical milking data, wherein the milking data at least includes milking parameter data of a plurality of historical milking cycles or milking parameter data within a plurality of preset milking time periods; The determination unit is used to generate at least one piece of recommended milking data based on the milking parameter data of multiple historical milking cycles or the milking parameter data of multiple preset milking time periods, each piece of the recommended milking data corresponds to a callable milking parameter in a milking cycle or milking time period.

20. A breast pump, characterized in that: The breast pump comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the recommended milk expression method of the breast pump according to any one of claims 1 to 18.

21. The breast pump according to claim 20, characterized in that The breast pump further comprises: a recommended milk pumping data trigger module; The recommended milk sucking data trigger module generates a recommended milk sucking data trigger signal when being triggered, and the recommended milk sucking data trigger signal is used to make the breast pump work according to the recommended milk sucking data.

22. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an executable program, and the executable program is executed by a processor to implement the recommended milk extraction method of the breast pump according to any one of claims 1 to 18.

23. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the recommended milk extraction method of the breast pump according to any one of claims 1 to 18.

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