TWM565037U - Intelligent bed set adjustment and management system - Google Patents

Abstract

The present invention is a smart adjustment management system for a bed set. When the user sleeps, the bed group can be individually adjusted according to preset preset sets of adjustment parameters, and a sleep detection module is used to detect the corresponding sleep parameters. The analysis unit analyzes the optimal sleep parameters and the corresponding adjustment parameters to select the user-specific adjustment parameters, so that the bed group can not only accurately adjust the most appropriate state, but also utilize user-specific adjustments. The parameter quickly adjusts other bed sets of the same specification to the most comfortable state; when implemented, the analysis unit can be built into an external controller, which can be a wire control device, a remote controller or a mobile device, or The user-specific adjustment parameters are uploaded to the cloud service platform for management by the bed group, or for users to download and use.

Description

Bed group wisdom adjustment management system

This creation is a smart adjustment management system for the bed set. The technical content involves the bed group for adjusting the softness of the partition block and the sleep state detection analysis. The aim is to allow the user to obtain the exclusive adjustment parameters for all beds of the same specification. The group can be adjusted to suit the softness of the user and achieve the effect of sleep management.

According to the general bed group, the bearing surface for the human body to lie down and sleep is composed of a single flexible material with elasticity, but the user's center of gravity, height and weight are different, and the center of gravity (weight) of each part is different. Therefore, when the user sleeps on the bed surface, the single material bed surface will feedback different support forces in various parts of the body; this kind of feedback to the body with different support forces tends to make the user not sleep. Consciously turning over and adjusting the sleeping position, so that the body muscles can not be completely relaxed.

In order to overcome the above problems, the purpose of the independent cylinder mattress, memory sleep or latex mattress, etc., is to solve the problem of uneven support force. Among them, the design of different softness and hardness on the bed surface according to the curves of various parts of the human body is also one of the effective solutions for evenly supporting the bed surface.

At present, various parts of the bed are designed to have different softness or high and low shapes. Most of them are used in the air bed structure which appeared in medical use earlier, and the remote control is used to manually control the airbags or rows arranged in the bed surface. The air allows each airbag to adjust the saturation separately; thus, when the user lies on the bed surface, different softness is generated due to the difference in the saturation of each airbag.

In theory, although the above-mentioned air bed can provide a relatively uniform supporting force, in practice, the user needs to gradually adjust on the bed surface according to the feeling when adjusting, and the user may function due to the user's body function. The natural reaction makes the muscles unable to relax completely. Therefore, even if it is adjusted to the extent that the user thinks it is most comfortable, whether it can really achieve the goal, it is still necessary to actually observe the sleep situation. In addition, even if the user adjusts the home bed group to the state that is considered to be the most comfortable, when traveling or traveling in the field, it is often impossible to obtain sufficient rest because it is not suitable for the softness of the bed group in the hotel.

In related technology, CN103780691A proposes a smart sleep system combining bed set and cloud, the technical content is to collect physiological data and environmental data, such as respiratory, heartbeat and other physiological data, as well as temperature and humidity, environment when the user sleeps. Environmental data such as illuminance and noise are then uploaded to the cloud for all collected physiological data and environmental data for cloud platform management and analysis.

Although physiological data, environmental data collection, and cloud management are all mature technologies, collecting these data must be observed for a long time, and it must be meaningful for the environment to be strictly monitored, for consumers who purchase bed sets. Words, slow down. In addition, even if more data is collected and analyzed, if the bed group or the sleeping environment cannot be adjusted with the statistics, the user's demand for bed adjustment cannot be met. For example, after the environmental data collection and analysis, it must be applied under the premise that the sleeping environment can be automatically adjusted and controlled accurately. It is conceivable that the CN103780691A may be more suitable for research use. For the bed manufacturer or consumer on the market, the practical application will inevitably encounter many insurmountable difficulties.

In fact, there have been many literatures and studies pointing out that when the human body is lying on the bed to relax, the muscle strength of various parts of the body or the proportion of pressure on the bed surface relative to the various parts of the human body has a certain regularity, and Whether people can rest adequately while sleeping can also be checked by scientific methods. For example, the theory confirms that the deep sleep period during sleep is the time to get enough rest. The longer the deep sleep period, the better the recovery of fatigue, and whether people can enter the deep sleep period during sleep, can also pass the sleep detection instrument. Brain waves, respiration, heartbeat, blood pressure changes and other physiological conditions are detected.

Therefore, the creator envisages that if the sleeping instrument can be used to detect the sleep state when adjusting the softness of the bed set, it will be able to find the most suitable adjustment method for the user more efficiently, not only to adjust the bed group. In the most suitable state, these parameters can also be applied to all bed sets of the same specification, so that each user can quickly adjust with this exclusive parameter.

The purpose of the present invention is to provide a smart adjustment management system for a bed set, which aims to select a plurality of sets of adjustment parameters that may be adapted to a specific user in advance, and adjust the bed groups to detect sleeps corresponding to different adjustment parameters. The parameters are then analyzed by an analysis unit to analyze the optimal adjustment parameters of the user, and then the bed set is adjusted so that the bed group can accurately adjust the most appropriate state for different users.

In order to achieve the above objective, the present invention provides a smart adjustment management system for a bed set, comprising: a bed group, the bed group is divided into a plurality of support blocks, and an internal controller is provided to respectively adjust each support block Softness and hardness, and the internal controller is pre-set with different sets of adjustment parameters according to different softness and hardness combinations of the support blocks; a sleep detection module, the sleep detection module can detect the user in the bed group The sleep state is adjusted in different parameter states, and the sleep parameters are respectively output to an analysis unit; and the analysis unit signal is connected to the sleep detection module and the internal controller to obtain different sleep parameters of the sleep detection module. For analyzing, finding the optimal sleep parameter and the corresponding adjustment parameter, forming the user-specific adjustment parameter and storing it in an identification management unit, and the internal controller of the bed group can be stored according to the identification management unit The user-specific adjustment parameters adjust the softness of each support block.

In implementation, the smart adjustment management system further includes a muscle/pressure detecting device capable of detecting at least two sets of suitable adjustment parameters for the user for the internal controller of the bed set to At least two sets of adjustment parameters respectively adjust the softness of each support block.

In practice, the muscle/pressure sensing device is provided with a plurality of detection blocks relative to a plurality of support blocks of the bed set.

In implementation, at least one air bag is disposed in each supporting block of the bed set, and each air bag is connected to a charging and discharging device capable of receiving the control of the internal controller, so that the internal controller can control the saturation of each air bag. Adjust the hardness of each support block.

In implementation, the analysis unit is built on an external controller, the external controller is connected to the sleep detection module and the internal controller, and the internal controller of the bed group can receive the wired or external controller After the wireless signal command, the internal controller of the bed set adjusts the softness of each support block.

In implementation, the sleep detection module and the analysis unit are simultaneously built on an external controller, and the internal controller of the bed group can receive the wired or wireless signal command of the external controller, and then adjust the internal controller of the bed group. The hardness of each support block.

When implemented, the external controller is a remote control device, a remote control or a mobile device.

In implementation, the analysis unit and the sleep detection module are integrated into the internal controller.

Compared with the prior art, the present invention uses the sleep detection module to detect the sleep parameters of the user under different adjustment parameter states, and the analysis unit analyzes the exclusive optimal adjustment parameters adapted to the user, which can not only target Different users allow the bed set to be accurately adjusted to the most appropriate state. It also allows specific users to quickly adjust other bed sets of the same specification to the most comfortable state when they travel or travel in different locations. .

In the following, according to the technical means of the creation, the implementation method suitable for the creation is listed, and the description is as follows:

As shown in the first and second figures, in the smart adjustment management system of the creation bed set, the bed set 10 has an identification code 11, and the bed surface 12 is divided into a plurality of support blocks 13 according to different parts of the human body, each of which At least one air bag 14 is disposed in the support block 13, and each air bag 14 is connected to a charging and discharging device 15, and the filling and discharging device 15 can respectively adjust the softness and hardness of each air bag 14 through an internal controller 16, and the inner portion The controller 16 is pre-set with a plurality of different sets of adjustment parameters 17 according to different softness combinations of the respective support blocks 13.

For example, the plurality of support blocks 13 are divided into a head, a shoulder, a neck, a back, a waist, a hip, and a leg. Each of the support blocks 13 is divided into three modes: soft, moderate, and hard. When the adjustment parameter 17 is set, The head can be soft, the shoulder and neck are moderate, the back is soft, the waist is hard, the buttocks are soft, and the legs are moderate, forming the first adjustment parameter 17; while the head is moderate, the shoulder and neck are hard, the back is soft, the waist is soft, and the buttocks are moderate. The leg is hard, and the second adjustment parameter 17 is formed, and so on, and the plurality of adjustment parameters 17 are formed.

The system may include a muscle force/pressure detecting device 20, and the muscle/pressure detecting device 20 is provided with a plurality of detecting blocks 21 with respect to the plurality of supporting blocks 13 of the bed group 10, each detecting block 21 can use the detection method of muscle strength or pressure to detect the user, and select at least two suitable adjustment parameters 17 of the plurality of sets of adjustment parameters 17 for the internal controller 16 of the bed set 10 to The two sets of adjustment parameters 17 respectively adjust the softness and hardness of each airbag 14; when implemented, the method of muscle strength/pressure detection is not limited to detection by using a device, as long as it is a hardware capable of detecting muscle strength/pressure of the sleeping position, Software or human testing can be implemented.

Taking the adjustment parameter 17 as an example, after the detection, the user's suitable adjustment parameter 17 is the first, fourth, and fifth groups. When the first group adjustment parameter 17 is selected on the internal controller 16, the internal controller 16 The plurality of support blocks 13 can be adjusted to have a soft head, a moderate shoulder and neck, a soft back, a hard waist, a soft hip, a moderate leg, and the like.

After the bed set 10 is adjusted according to one of the at least two sets of adjustment parameters 17 selected above, when the user sleeps on the bed set 10, the user can detect the user in the bed set by a sleep detecting module 30. 10 sleep state, and output a sleep parameter 31; similarly, if the bed set 10 is adjusted according to the other set of at least two sets of adjustment parameters 17 selected above, the sleep detection module 30 can be phased The corresponding sleep parameter 31 is output.

The sleep parameter 31 outputted by the sleep detection module 30 and the adjustment parameter 17 corresponding to the internal controller 16 are respectively transmitted to an analysis unit 40, and the analysis unit 40 is connected to the sleep detection module 30 and the internal controller 16 to After obtaining the different sleep parameters 31 of the sleep detection module 30, the comparison analysis is performed to find the optimal sleep parameter 31 and the corresponding adjustment parameter 17, and the user-specific adjustment parameter 17 is formed and stored in an identification management unit 41. For example, the sleep parameter 31 includes physiological states such as brain waves, breathing, heartbeat, and blood pressure changes during sleep of the user, and the analyzing unit 40 can determine the time when the user enters the deep sleep stage during sleep according to the physiological state changes. The longest time to deep sleep is the optimal sleep parameter 31.

Then, when the analysis unit 40 outputs the user-specific adjustment parameter 17 stored by the identification management unit 41 in a wired or wireless manner, after the internal controller 16 of the bed group 10 receives the parameter, the parameter 17 can be adjusted according to the user. The softness and hardness of each support block 13 are adjusted to achieve the purpose of intelligent adjustment management of the bed group.

In practice, the analyzing unit 40 can be built on an external controller 50; since the mobile device, the smart watch or the tablet computer, which is generally carried by the user, has the data transmission capability, the analysis is shown in the figure. The unit 40 can be installed in the form of an application software (APP) and built on the external controller 50 formed by the mobile devices to facilitate user operation, and can also be used for inputting text and voice by the user. The fingerprint identification or the face recognition mode is used to log in and operate the analysis unit 40 to facilitate the identification of the individual identity; of course, the external controller 50 can also be implemented by a physical device like a remote control device or a remote control, and only needs to have data. Transmission capacity and user-friendly operation.

As shown in the third figure, in conjunction with the implementation of the analysis unit 40 being implemented on an external controller 50, the sleep detection module 30 can also be installed in the form of an application software (APP) and built into the external control. On the device 50; or, as shown in the fourth figure, the analysis unit 40 and the sleep detection module 30 are all built on the internal controller 16 of the bed set 10, and the user finds the optimal sleep parameter as described above. 31 and the corresponding adjustment parameter 17 to form the user-specific adjustment parameter 17, as long as the bed group 10 of the same specification can be quickly adjusted to an optimal state suitable for the user's sleep.

It is worth mentioning that, as shown in the first to fourth figures, when the creation is implemented, whether the internal controller 16 or the external controller 50 only needs to set a network interface, the analysis unit 40 can analyze the The user-specific adjustment parameter 17 is uploaded to a cloud service platform 60 for management by the bed group, or for the user to download the exclusive adjustment parameters at the remote end.

The above description of the embodiments and the drawings are merely illustrative of the preferred embodiments of the present invention, and are not intended to limit the scope of the present invention; any of the creations and system features of the present invention are similar or identical. Within the scope of the creation of a patent, I hereby declare.

10‧‧‧ Bed Group
11‧‧‧ID
12‧‧‧ bed surface
13‧‧‧Support block
14‧‧‧Airbag
15‧‧‧ filling and venting device
16‧‧‧Internal controller
17‧‧‧Adjust parameters
20‧‧‧ muscle strength/pressure testing equipment
21‧‧‧Detection block
30‧‧‧Sleep detection module
31‧‧‧ Sleep parameters
40‧‧‧Analysis unit
41‧‧‧Identification Management Unit
50‧‧‧External controller
60‧‧‧Cloud Service Platform

First figure: Schematic diagram of system configuration (1) of the first embodiment of the present creation. Second figure: Schematic diagram of system configuration (2) of the first embodiment of the present creation. Third figure: Schematic diagram of the system configuration of the second embodiment of the present creation. Fourth figure: Schematic diagram of the system configuration of the third embodiment of the present creation.

Claims (10)

A smart regulation management system for a bed set, comprising: a bed group, the bed group is divided into a plurality of support blocks, and an internal controller is provided to respectively adjust the softness and hardness of each support block, and the internal control The device is pre-set with different sets of adjustment parameters according to different softness and hardness combinations of the support blocks; a sleep detection module capable of detecting sleep of the user under different adjustment parameters of the bed group a state, and respectively outputting the sleep parameter to an analysis unit; and the analysis unit signal is connected to the sleep detection module and the internal controller to obtain different sleep parameters of the sleep detection module, and then compare and analyze to find the optimal sleep The parameter and the corresponding adjustment parameter are formed and stored in an identification management unit, and the internal controller of the bed group can adjust each support according to the user-specific adjustment parameter stored by the identification management unit. The hardness of the block. The smart adjustment management system of the bed group according to claim 1, wherein the analysis unit is built on an external controller, and the external controller is connected to the sleep detection module and the internal controller, and the bed group is The internal controller can receive the wired or wireless signal command of the external controller, and then the internal controller of the bed group adjusts the softness of each support block. The smart adjustment management system of the bed group according to claim 1, wherein the sleep detection module and the analysis unit are built on an external controller, and the internal controller of the bed group can receive the wired or wireless of the external controller. After the signal command, the internal controller of the bed set adjusts the softness of each support block. The smart adjustment management system of the bed group according to claim 2 or 3, wherein the external controller has a network interface and can upload the user-specific adjustment parameters analyzed by the analysis unit to a cloud service platform. The smart adjustment management system of the bed set according to claim 4, wherein the external controller is a remote control device, a remote controller or a mobile device. The intelligent adjustment management system of the bed group according to claim 1, wherein the analysis unit and the sleep detection module are integrated and built in the internal controller. The intelligent adjustment management system of the bed group according to claim 6, wherein the internal controller has a network interface and can upload the user-specific adjustment parameters analyzed by the analysis unit to a cloud service platform. The intelligent adjustment management system for a bed set according to any one of claims 1 to 3, wherein the system further comprises a muscle/pressure detecting device capable of detecting the user At least two sets of suitable adjustment parameters are provided for the internal controller of the bed set to adjust the softness of each support block according to the at least two sets of adjustment parameters. The smart adjustment management system of the bed set according to claim 8, wherein the muscle/pressure detecting device is provided with a plurality of detecting blocks with respect to the plurality of supporting blocks of the bed set. The intelligent adjustment management system for a bed set according to any one of claims 1 to 3 or 6 or 7, wherein at least one air bag is disposed in each support block, and each air bag is connected to a control unit capable of accepting control by the internal controller. The charge and discharge device enables the internal controller to adjust the softness of each support block by controlling the saturation of each air bag.