WO2025020573A1 - Procédé et appareil de réglage de matelas intelligent, dispositif électronique et support de stockage - Google Patents

Procédé et appareil de réglage de matelas intelligent, dispositif électronique et support de stockage Download PDF

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Publication number
WO2025020573A1
WO2025020573A1 PCT/CN2024/085906 CN2024085906W WO2025020573A1 WO 2025020573 A1 WO2025020573 A1 WO 2025020573A1 CN 2024085906 W CN2024085906 W CN 2024085906W WO 2025020573 A1 WO2025020573 A1 WO 2025020573A1
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Prior art keywords
state model
user
usage state
model
preset
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Pending
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PCT/CN2024/085906
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English (en)
Chinese (zh)
Inventor
孙成俊
刘众
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Dongguan Onethird Sleep Technology Co Ltd
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Dongguan Onethird Sleep Technology Co Ltd
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Publication of WO2025020573A1 publication Critical patent/WO2025020573A1/fr
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Classifications

    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
    • A47C27/08—Fluid mattresses
    • A47C27/081—Fluid mattresses of pneumatic type
    • A47C27/083—Fluid mattresses of pneumatic type with pressure control, e.g. with pressure sensors
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
    • A47C27/08—Fluid mattresses
    • A47C27/081—Fluid mattresses of pneumatic type
    • A47C27/082—Fluid mattresses of pneumatic type with non-manual inflation, e.g. with electric pumps
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
    • A47C27/08—Fluid mattresses
    • A47C27/081—Fluid mattresses of pneumatic type
    • A47C27/084—Fluid mattresses of pneumatic type self inflating
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
    • A47C27/08—Fluid mattresses
    • A47C27/10—Fluid mattresses with two or more independently-fillable chambers

Definitions

  • the present invention relates to the field of smart home, and in particular to a smart mattress adjustment method, device, electronic equipment and storage medium.
  • a mattress is an object that is placed between the human body and the bed to ensure that users get a healthy and comfortable sleep.
  • Mattresses are made of a variety of materials, and mattresses made of different materials can bring different feelings to users.
  • a smart mattress or back pad with multiple airbag groups inside is usually used.
  • the multiple airbag groups in the mattress or back pad are adjusted to different degrees according to the human body structure, so that the multiple airbag groups output different air volumes and pressures, which are more in line with the human body structure and provide a better user experience.
  • the current smart mattress can only control the airbag group according to the set program, the control mode is single and the applicability is poor, and it is unable to achieve different control modes for different users.
  • the smart mattress can be controlled in different states for different users and has good applicability.
  • the present invention provides an intelligent mattress adjustment method, which is applied to a control unit, wherein a plurality of airbag groups are arranged inside the intelligent mattress, and a sensor unit is arranged on the surface of each airbag group, and the airbag group and the sensor unit are electrically connected to the control unit.
  • the method comprises:
  • An optimized usage state model is calculated according to the actual application state model and the preset usage state model, wherein the preset usage state model is derived by applying experimental data to the smart mattress;
  • the state model is used to control the airbag group to complete state adjustment according to the optimization.
  • the creating the actual application state model according to the user usage state parameters sent by the sensing unit and the user manually input parameters includes:
  • a local actual application state model is created according to the local user usage state model and the local user manual input model
  • the edges of multiple local actual application state models are smoothed to obtain an actual application state model.
  • the step of calculating the optimized usage state model according to the actual application state model and the preset usage state model includes:
  • the actual application state model and the preset use state model are calculated respectively according to a preset allocation function to obtain an optimized use state parameter
  • An optimized usage state model is created according to the optimized usage state parameters.
  • the preset allocation function includes the ratio between the actual application state model and the preset usage state model under different conditions, and the sum of the parameter proportions of the actual application state model and the preset usage state model in the optimized usage state model is 1.
  • the method further comprises:
  • the optimized usage state model is sent to the cloud or the terminal, and the optimized usage state model replaces the preset usage state model stored in the cloud or the terminal.
  • the method further comprises:
  • the present invention also provides an intelligent mattress adjustment device, which is applied to a control unit and includes:
  • a creation module used to create an actual application state model according to the user usage state parameters sent by the sensing unit and the user manually input parameters, wherein the user usage state parameters are the parameters detected by the sensing unit when the user uses the smart mattress;
  • An optimization module used for calculating an optimized use state model according to the actual application state model and a preset use state model, wherein the preset use state model is derived by applying experimental data to a smart mattress;
  • the regulating module is used to control the airbag group to complete state regulation according to the optimized usage state model.
  • the present invention also provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements any of the above-mentioned intelligent mattress adjustment methods when executing the computer program.
  • the present invention also provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the intelligent mattress adjustment method as described above is implemented.
  • the present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the intelligent mattress adjustment method as described above is implemented.
  • the above-mentioned intelligent mattress adjustment method, device, electronic device and storage medium create a preset usage state model as a basic model for user usage optimization through a large amount of data deduction, and combine the actual application state model generated by the user's current use and the user manual input model manually input by the user according to his own needs, so as to calculate the corrected optimized usage state model.
  • the optimized usage state model is more suitable for the user than the preset usage state model, the actual usage state model and the user manual input model.
  • the intelligent mattress adjustment method can realize the control of different states of the intelligent mattress for different users, so as to be more in line with the user's usage habits and needs, and has good applicability.
  • FIG1 is a flow chart of a smart mattress adjustment method according to the present invention.
  • FIG2 is a second flow chart of the intelligent mattress adjustment method of the present invention.
  • FIG3 is a third flow chart of the intelligent mattress adjustment method of the present invention.
  • FIG4 is a fourth flow chart of the intelligent mattress adjustment method of the present invention.
  • FIG5 is a module diagram of the intelligent mattress adjustment device of the present invention.
  • FIG6 is a schematic structural diagram of a smart mattress according to the present invention.
  • FIG. 7 is a diagram showing the internal structure of a computer device according to an embodiment.
  • a smart mattress adjustment method is applied to a control unit, wherein a plurality of airbag groups are arranged inside the smart mattress, and a sensor unit is arranged on the surface of each airbag group, and the airbag group and the sensor unit are electrically connected to the control unit, and includes the following steps:
  • Step S110 creating an actual application state model according to the user usage state parameters sent by the sensor unit and the parameters manually input by the user, where the user usage state parameters are the parameters detected by the sensor unit when the user uses the smart mattress.
  • the sensor unit can obtain the pressure data generated when the user uses the smart mattress.
  • the pressure data is the user's usage status parameter. Since the smart mattress has multiple airbag groups inside, and each airbag group is provided with a sensor unit on the surface, the user's usage status parameter can be judged according to the sensor unit serial number and the pressure data detected by the sensor unit.
  • the user can also manually input the required parameters into the control unit.
  • the manually input parameters include one or more of the user ID, user body shape, height, lying flat/side lying pressure preference, user sleeping habits, softness and hardness preference, etc. Since there is a difference between the manually input parameters and the user's usage status parameters, it is necessary to effectively combine the two parameters to generate a more practical actual application status model of the smart mattress for the current user.
  • Step S120 calculating an optimized use state model according to the actual application state model and the preset use state model, wherein the preset use state model is derived by applying experimental data to the smart mattress.
  • the smart mattress will have a preset usage state model in the initial stage, which is derived from a large amount of user data collected during the research and development stage. Therefore, there is a difference between the preset usage state model and the state model required by the user.
  • the preset usage state model can be modified based on the user's data on the day of use, that is, the actual application state model, so that the modified optimized usage state model is more suitable for the user's body shape and meets the user's needs.
  • Step S130 controlling the airbag group to complete state adjustment according to the optimized usage state model.
  • the optimized usage state model includes the modified state of each airbag group in the smart mattress, and the output air volume and pressure of the airbag group of the smart mattress can be adjusted according to the model.
  • the above-mentioned intelligent mattress adjustment method creates a preset usage state model as a basic model for user usage optimization through deduction of a large amount of data, and combines the actual application state model generated by the user's current use and the user manual input model manually input by the user according to his own needs, so as to calculate the corrected optimized usage state model.
  • the optimized usage state model is more suitable for the user than the preset usage state model, the actual usage state model and the user manual input model.
  • the intelligent mattress adjustment method can realize the control of different states of the intelligent mattress for different users, so as to be more in line with the user's usage habits and needs, and has good applicability.
  • the airbag group in the smart mattress is composed of an airbag, an air valve and an air pump, and the sensing unit is one or more of a piezoresistive sensor, a weight sensor or a capacitive pressure sensor.
  • creating an actual application state model according to the user usage state parameters sent by the sensing unit and the user manually input parameters includes the following steps:
  • Step S111 classifying and calculating the user usage state parameters and the user manual input parameters according to the position distribution of multiple airbag groups, and obtaining a local user usage state model and a local user manual input model.
  • the user is in the middle of the smart mattress.
  • the human body is divided into four parts, namely, the head and neck, the upper body, the lower body, and the arms
  • the multiple areas on the smart mattress are divided according to the user's habits when using the smart mattress.
  • the area is composed of the airbag group 630 in the smart mattress.
  • the result is shown on the left.
  • the dark area 610 in the middle is the area directly in contact with the user's body, and the pressure detected is greater.
  • the light area 620 at the edge is the area adjacent to the user's body, and the pressure detected is relatively small.
  • the areas contacted by the four parts of the user's body are distinguished, and the parameters are calculated respectively, and finally four local user usage state models are obtained.
  • Step S112 creating a local actual application state model according to the local user usage state model and the local user manual input model.
  • a local user usage state model is combined with a local user manual input model corresponding to the part to create a local actual application state model. It should be noted that the local user manual input model is judged according to the specific part when the user inputs the parameters, such as the head, neck, hand, leg, etc.
  • Step S113 smoothing the edges of multiple local actual application state models to obtain an actual application state model.
  • the smart mattress when the smart mattress obtains the model parameters generated according to the user's body, the parameters of the positions of the connections and joints of various parts of the user's body are unclear.
  • the model parameters of the connections and joints of various parts of the user's body are processed according to the model parameters of adjacent areas, so that the smart mattress can better fit the user.
  • calculating the optimized usage state model according to the actual application state model and the preset usage state model includes the following steps:
  • Step S121 calculating the actual application state model and the preset use state model respectively according to the preset allocation function to obtain optimized use state parameters.
  • the preset allocation function includes the ratio between the actual application state model and the preset use state model under different conditions. For example, when one or several physical parameters of the user are within the first threshold, the ratio between the actual application state model and the preset use state model is 1:1; when one or several physical parameters of the user are greater than the first threshold, the ratio between the actual application state model and the preset use state model is 4:1.
  • the sum of the parameter proportions of the actual application state model and the preset use state model in the optimized use state model is 1. For example, 80% of the model parameters of the actual application state model are selected, and 20% of the model parameters of the preset use state model are selected.
  • Step S122 creating an optimized usage state model according to the optimized usage state parameters.
  • all the models in this embodiment are obtained by constructing parameters, such as arranging and combining different regional parameters according to regional distribution to obtain a model corresponding to the parameter.
  • the parameters detected by each sensor unit in the smart mattress are also different. Therefore, the user's body shape and sleeping posture can be judged based on the changes and sizes of the parameters detected by each sensor unit, thereby further correcting the optimized usage status model.
  • the intelligent mattress adjustment method further includes the following steps:
  • Step S410 Send the optimized usage status model to the cloud or the terminal, and use the optimized usage status model to replace the preset usage status model stored in the cloud or the terminal.
  • Step S420 obtaining a preset usage state model stored in the cloud or the terminal, and controlling the airbag group to complete state adjustment according to the preset usage state model.
  • the cloud or terminal will record the user's usage data, that is, the optimized usage status model.
  • the user can obtain the optimized usage status model from the cloud or terminal, and input the optimized usage status model into the smart mattress in the non-home place, so that the airbag group in the smart mattress can adjust its status to ensure that it can meet the user's usage habits and usage needs like the smart mattress at home.
  • the intelligent mattress adjustment device provided by the present invention is described below.
  • the intelligent mattress adjustment device described below and the intelligent mattress adjustment method described above can be referred to each other.
  • an intelligent mattress adjustment device includes a creation module 510 , an optimization module 520 , and an adjustment module 530 .
  • the creation module 510 is used to create an actual application state model according to the user usage state parameters sent by the sensor unit and the user's manually input parameters.
  • the user usage state parameters are the parameters detected by the sensor unit when the user uses the smart mattress.
  • the optimization module 520 is used to calculate the optimized use state model according to the actual application state model and the preset use state model.
  • the preset use state model is derived by applying the experimental data to the smart mattress.
  • the adjustment module 530 is used to control the airbag group to complete state adjustment according to the optimized usage state model.
  • a creation module 510 is specifically used to classify and calculate user usage status parameters and user manually input parameters according to the position distribution of multiple airbag groups to obtain a local user usage status model and a local user manual input model; create a local actual application status model based on the local user usage status model and the local user manual input model; and smooth the edges of multiple local actual application status models to obtain an actual application status model.
  • the optimization module 520 is specifically used to calculate the actual application state model and the preset use state model respectively according to the preset allocation function to obtain the optimized use state parameters; and to create the optimized use state model according to the optimized use state parameters.
  • the intelligent mattress adjustment device also includes a transmission module, which is used to send the optimized usage state model to the cloud or terminal, and replace the preset usage state model stored in the cloud or terminal with the optimized usage state model; obtain the preset usage state model stored in the cloud or terminal, and control the airbag group to complete state adjustment according to the preset usage state model.
  • a transmission module which is used to send the optimized usage state model to the cloud or terminal, and replace the preset usage state model stored in the cloud or terminal with the optimized usage state model; obtain the preset usage state model stored in the cloud or terminal, and control the airbag group to complete state adjustment according to the preset usage state model.
  • FIG7 illustrates a schematic diagram of the physical structure of an electronic device, which may be a smart terminal, and its internal structure diagram may be shown in FIG7.
  • the electronic device includes a processor, a memory, and a network interface connected via a system bus.
  • the processor of the electronic device is used to provide computing and control capabilities.
  • the memory of the electronic device includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium stores an operating system and a computer program.
  • the internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium.
  • the network interface of the electronic device is used to communicate with an external terminal via a network connection.
  • An optimized usage state model is calculated based on the actual application state model and the preset usage state model, wherein the preset usage state model is derived by applying the experimental data to the smart mattress;
  • the state adjustment is completed by controlling the airbag group according to the optimized usage state model.
  • FIG. 7 is merely a block diagram of a partial structure related to the solution of the present invention, and does not constitute a limitation on the electronic device to which the solution of the present invention is applied.
  • the specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.
  • the present invention further provides a computer storage medium storing a computer program, which implements an intelligent mattress adjustment method when the computer program is executed by a processor, the method comprising:
  • An optimized usage state model is calculated based on the actual application state model and the preset usage state model, wherein the preset usage state model is derived by applying the experimental data to the smart mattress;
  • the state adjustment is completed by controlling the airbag group according to the optimized usage state model.
  • a computer program product or a computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium.
  • a processor of an electronic device reads the computer instructions from the computer-readable storage medium, and when the processor executes the computer instructions, a smart mattress adjustment method is implemented, the method comprising:
  • An optimized usage state model is calculated based on the actual application state model and the preset usage state model, wherein the preset usage state model is derived by applying the experimental data to the smart mattress;
  • the state adjustment is completed by controlling the airbag group according to the optimized usage state model.
  • Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory.
  • Volatile memory may include random access memory (RAM) or external cache memory.
  • RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • SLDRAM synchronous link (Synchlink) DRAM
  • SLDRAM synchronous link (Synchlink) DRAM
  • Rambus direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM

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  • Mattresses And Other Support Structures For Chairs And Beds (AREA)

Abstract

L'invention concerne un procédé et un appareil de réglage de matelas intelligent, un dispositif électronique et un support de stockage. Le procédé consiste : à créer un modèle d'état d'utilisation réel en fonction d'un paramètre d'état d'utilisation par l'utilisateur envoyé par une unité de détection, et un paramètre d'entrée manuelle d'utilisateur, le paramètre d'état d'utilisation par l'utilisateur étant mesuré par l'unité de détection lorsqu'un utilisateur utilise un matelas intelligent (S110) ; en fonction du modèle d'état d'utilisation réel et d'un modèle d'état d'utilisation prédéfini, à effectuer un calcul pour obtenir un modèle d'état d'utilisation optimisé, le modèle d'état d'utilisation prédéfini étant obtenu par application de données expérimentales au matelas intelligent (S120) ; et, en fonction du modèle d'état d'utilisation optimisé, à commander des groupes de coussins d'air pour terminer le réglage d'état (S130). Le procédé de réglage de matelas intelligent peut commander différents états du matelas intelligent pour différents utilisateurs.
PCT/CN2024/085906 2023-07-25 2024-04-03 Procédé et appareil de réglage de matelas intelligent, dispositif électronique et support de stockage Pending WO2025020573A1 (fr)

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CN202310923522.8 2023-07-25
CN202310923522.8A CN116898237A (zh) 2023-07-25 2023-07-25 智能床垫调节方法、装置、电子设备及存储介质

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CN116898237A (zh) * 2023-07-25 2023-10-20 东莞市三分之一睡眠科技有限公司 智能床垫调节方法、装置、电子设备及存储介质

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