Smart mattress and adjustment system thereof

Abstract

A smart mattress and an adjustment system thereof, comprising a creation module, an optimization module and an adjustment module, wherein the creation module creates an actual application state model on the basis of user usage state parameters sent by a sensing apparatus and parameters manually input by a user, the user usage state parameters being parameters detected by the sensing apparatus when the user uses the smart mattress; on the basis of the actual application state model and a preset usage state model, the optimization module calculates an optimized usage state model, the preset usage state model being derived by applying experimental data to the smart mattress; and on the basis of the optimized usage state model, the adjustment module controls airbag groups to complete state adjustment. The smart mattress adjustment system can control different states of the smart mattress for different users, so as to better meet the usage habits and requirements of users, and thus the applicability is better.

Description

Smart mattress and its adjustment system Technical Field

[0001] The utility model relates to the field of smart homes, in particular to a smart mattress and an adjustment system thereof. Background Art

[0002] A mattress is an item 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.

[0003] In the field of pursuing comfort and relaxation, such as massage beds and massage chairs, a smart mattress or back cushion with multiple airbag groups inside is usually used. When in use, the multiple airbag groups in the mattress or back cushion 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.

[0004] However, 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 methods for different users. Utility Model Content

[0005] Based on this, it is necessary to provide a smart mattress and its adjustment system to address the above technical problems, which can control different states of the smart mattress for different users and has good applicability.

[0006] The utility model proposes an intelligent mattress adjustment system, wherein a plurality of airbag groups are arranged inside the intelligent mattress, and a sensing device is arranged on the surface of each airbag group. The airbag group and the sensing device are electrically connected, and the system includes a creation module, an optimization module and an adjustment module;

[0007] The creation module creates an actual application state model based on the user usage state parameters sent by the sensing device and the user manually input parameters, wherein the user usage state parameters are parameters detected by the sensing device when the user uses the smart mattress;

[0008] The optimization module calculates an optimized usage state model based on 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;

[0009] The adjustment module controls the airbag group to complete state adjustment according to the optimized usage state model.

[0010] In one embodiment, the creation module includes a first calculation unit and an integration unit;

[0011] The first calculation unit classifies and calculates the user usage state parameters and the user manual input parameters according to the position distribution of the multiple airbag groups to obtain a local user usage state model and a local user manual input model;

[0012] The integration unit creates a local actual application state model according to the local user usage state model and the local user manual input model.

[0013] In one embodiment, the creation module further includes a processing unit for smoothing edges of multiple local actual application state models to obtain an actual application state model.

[0014] In one embodiment, the optimization module includes a second calculation unit, which calculates the actual application state model and the preset usage state model according to a preset allocation function to obtain optimized usage state parameters.

[0015] In one embodiment, 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.

[0016] In one embodiment, the optimization module further includes a third calculation unit for creating an optimized usage state model according to the optimized usage state parameters.

[0017] In one embodiment, the system further includes a sending module for sending the optimized usage state model to the cloud or the terminal, and allowing the optimized usage state model to replace the preset usage state model stored in the cloud or the terminal.

[0018] In one embodiment, the system further includes an acquisition module for acquiring a preset usage status model stored in the cloud or the terminal, and sending the preset usage status model to the adjustment module.

[0019] The present invention also proposes an intelligent mattress, which is provided with multiple airbag groups inside, and a sensing device is provided on the surface of each airbag group. The airbag groups and the sensing devices are electrically connected to a controller, and the controller is used to implement the execution steps of the intelligent mattress adjustment system described in any of the above embodiments.

[0020] The above-mentioned smart mattress and its adjustment system create a preset usage state model as the basic model for user usage optimization through deduction of a large amount of data, and combine it with 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 their own needs to calculate a revised optimized usage state model. This 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 smart mattress adjustment system can control the different states of the smart mattress for different users, thereby better meeting the user's usage habits and needs and having good applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] FIG1 is a schematic diagram of a module of an intelligent mattress adjustment system of the present invention;

[0023] Figure 2 is a schematic diagram of the intelligent mattress adjustment system of the present invention

[0024] FIG3 is a schematic structural diagram of the intelligent mattress of the present invention. DETAILED DESCRIPTION

[0025] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0026] It should be noted that when a component is referred to as being "fixed to" or "disposed on" another component, it may be directly on the other component or there may be a central component. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may be a central component at the same time. The terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used in the specification of this utility model are for illustrative purposes only and do not represent the only implementation method.

[0027] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this utility model, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0028] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it can mean that the first feature is directly in contact with the second feature, or the first feature and the second feature are indirectly in contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it can mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is higher in level than the second feature. When a first feature is "below," "below," or "below" a second feature, it can mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is lower in level than the second feature.

[0029] Unless otherwise defined, all technical and scientific terms used in the specification of this utility model have the same meanings as those commonly understood by those skilled in the art to which this utility model belongs. The terms used in the specification of this utility model are only for the purpose of describing specific embodiments and are not intended to limit the utility model. The term "and / or" used in the specification of this utility model includes any and all combinations of one or more of the relevant listed items.

[0030] The intelligent mattress and its adjustment system of the present invention will be described below with reference to FIG1 to FIG3 .

[0031] As shown in FIG1 , in one embodiment, a smart mattress adjustment system is provided. The smart mattress is provided with multiple airbag groups inside. Each airbag group is provided with a sensor device on its surface. The airbag groups and the sensor device are electrically connected. The system includes a creation module, an optimization module, and an adjustment module.

[0032] The creation module creates an actual application state model according to the user usage state parameters sent by the sensor device and the user's manually input parameters. The user usage state parameters are parameters detected by the sensor device when the user uses the smart mattress.

[0033] Specifically, when a user lies on the smart mattress, the sensor device can capture the pressure data generated by the user's use of the smart mattress. This pressure data is integrated into the user's usage status parameters. Because the smart mattress has multiple airbag groups inside, and each airbag group is equipped with a sensor device on the surface, the user's usage status parameters can be determined based on the sensor device serial number and the pressure data detected by the sensor device. The user can also manually input the required parameters into the control unit. Manually input parameters include one or more of the following: user ID, user body type, height, pressure preference for lying flat / sideways, user sleeping habits, softness / firmness preference, etc. Because there are inevitably differences between manually input parameters and user usage status parameters, it is necessary to effectively combine these two parameters to generate a more practical model of the actual application status of the smart mattress for the current user.

[0034] The optimization module calculates the optimized usage state model according to the actual application state model and the preset usage state model. The preset usage state model is derived by applying experimental data to the smart mattress.

[0035] Specifically, a smart mattress will initially have a preset usage model. This model is derived from extensive user data collected during the R&D phase, and therefore differs from the user's desired usage model. As the user uses the smart mattress, the preset usage model is modified based on the user's daily usage data (i.e., the actual usage model). This modified, optimized usage model better fits the user's body shape and meets their needs.

[0036] The regulating module controls the airbag group to complete state regulation according to the optimized usage state model.

[0037] Specifically, 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.

[0038] The above-mentioned smart mattress and its adjustment system create a preset usage state model as the basic model for user usage optimization through deduction of a large amount of data, and combine it with 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 their own needs to calculate a revised optimized usage state model. This 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 smart mattress adjustment system can control the different states of the smart mattress for different users, thereby better meeting the user's usage habits and needs and having good applicability.

[0039] In one embodiment, the creation module includes a first calculation unit, an integration unit, and a processing unit:

[0040] The first calculation unit classifies and calculates the user usage state parameters and the user manual input parameters according to the position distribution of the multiple airbag groups to obtain a local user usage state model and a local user manual input model.

[0041] Specifically, as shown in Figure 3, with the user positioned in the middle of the smart mattress, assuming the human body is divided into four parts: head and neck, upper body, lower body, and arms, the mattress is divided into multiple regions based on the user's usage habits. It should be noted that this region is composed of the airbag group 130 within the smart mattress. The resulting results are shown on the left. The darker area 110 in the center is directly in contact with the user's body and has a higher detected pressure. The lighter areas 120 at the edges are adjacent to the user's body and have a relatively lower detected pressure. The regions contacted by the four user body parts are then distinguished based on the different gravitational forces, and parameters are calculated for each region, ultimately resulting in four localized user usage state models.

[0042] The integration unit creates a local actual application state model according to the local user usage state model and the local user manual input model.

[0043] Specifically, a local user usage state model is combined with the local user manual input model corresponding to that part to create a local actual application state model. It should be noted that the local user manual input model is determined based on the specific part of the body where the user inputs parameters, such as the head, neck, hand, leg, etc.

[0044] The processing unit performs smoothing processing on the edges of multiple local actual application state models to obtain an actual application state model.

[0045] Specifically, due to the special structure of the connections and joints of various parts of the human body, when the smart mattress obtains the model parameters generated based on the user's body, the parameters of the positions of the connections and joints of various parts of the user's body are unclear. In order to ensure the user experience, 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.

[0046] In one embodiment, the optimization module includes a second computing unit and a third computing unit:

[0047] The second calculation unit calculates the actual application state model and the preset usage state model respectively according to the preset allocation function to obtain optimized usage state parameters.

[0048] Specifically, the preset allocation function includes the ratio between the actual application state model and the preset usage 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 usage 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 usage state model is 4:1. 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. For example, 80% of the model parameters of the actual application state model are selected, and 20% of the model parameters of the preset usage state model are selected.

[0049] The third calculation unit creates an optimized usage state model according to the optimized usage state parameters.

[0050] Specifically, 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 models corresponding to the parameters.

[0051] It should be noted that due to the differences in body shape, weight and sleeping habits of each person, the parameters detected by each sensor device in the smart mattress are also different. Therefore, based on the changes and sizes of the parameters detected by each sensor device, the user's body shape and sleeping posture can be judged, thereby further correcting the optimized usage status model.

[0052] In one embodiment, the system further includes a sending module and an acquiring module:

[0053] The sending module sends the optimized usage state model to the cloud or the terminal, and causes the optimized usage state model to replace the preset usage state model stored in the cloud or the terminal.

[0054] The acquisition module acquires a preset usage status model stored in the cloud or the terminal, and sends the preset usage status model to the adjustment module.

[0055] Specifically, when the smart mattress in the user's home can accurately meet the user's usage needs after multiple uses, the cloud or terminal will record the user's usage data, that is, the optimized usage status model. When the user stays in a non-home place such as a hotel, 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.

[0056] The present invention also proposes an intelligent mattress, which is provided with multiple airbag groups inside, and a sensing device is provided on the surface of each airbag group. The airbag groups and the sensing devices are electrically connected to a controller, and the controller is used to implement the execution steps of the intelligent mattress adjustment system of any of the above embodiments. For the specific structure, please refer to Figure 2.

[0057] The airbag group in the smart mattress is composed of an airbag, an air valve and an air pump, and the sensing device is one or more of a piezoresistive sensor, a weight sensor or a capacitive pressure sensor.

[0058] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0059] The above-described embodiments merely represent several implementation methods of the present invention. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. An intelligent mattress adjustment system, wherein a plurality of airbag groups are arranged inside the intelligent mattress, and a sensor device is arranged on the surface of each airbag group, and the airbag group and the sensor device are electrically connected, characterized in that: Includes creation module, optimization module and adjustment module; The creation module creates an actual application state model according to the user usage state parameters sent by the sensor device and the user manually input parameters, wherein the user usage state parameters are the parameters detected by the sensor device when the user uses the smart mattress; The optimization module calculates an optimized use state model according to the actual application state model and the preset use state model, and the preset use state model is derived by applying experimental data to the smart mattress; The regulating module controls the airbag group to complete state regulation according to the optimized usage state model.

2. The intelligent mattress adjustment system according to claim 1, characterized in that: The creation module includes a first calculation unit and an integration unit; The first calculation unit classifies and calculates the user usage state parameters and the user manual input parameters according to the position distribution of the plurality of airbag groups to obtain a local user usage state model and a local user manual input model; The integration unit creates a local actual application state model according to the local user usage state model and the local user manual input model.

3. The intelligent mattress adjustment system according to claim 2, characterized in that: The creation module also includes a processing unit that performs smoothing processing on the edges of multiple local actual application state models to obtain an actual application state model.

4. The intelligent mattress adjustment system according to claim 3, characterized in that: The optimization module includes a second calculation unit, which calculates the actual application state model and the preset use state model respectively according to a preset allocation function to obtain optimized use state parameters.

5. The intelligent mattress adjustment system according to claim 4, characterized in that: 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.

6. The intelligent mattress adjustment system according to claim 5, characterized in that: The optimization module also includes a third calculation unit, which creates an optimized usage state model according to the optimized usage state parameters.

7. The intelligent mattress adjustment system according to claim 6, characterized in that: The system further includes a sending module, which sends the optimized usage state model to the cloud or the terminal, and enables the optimized usage state model to replace the preset usage state model stored in the cloud or the terminal.

8. The intelligent mattress adjustment system according to claim 7, characterized in that: The system also includes an acquisition module for acquiring a preset usage status model stored in the cloud or the terminal, and sending the preset usage status model to the adjustment module.

9. A smart mattress, characterized in that: A plurality of airbag groups are arranged inside the mattress, and a sensor device is arranged on the surface of each airbag group. The airbag groups and the sensor device are electrically connected to a controller, and the controller is used to implement the execution steps of the intelligent mattress adjustment system according to any one of claims 1 to 8.

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