ADJUSTMENT SYSTEM AND METHOD OF BED

Abstract

A system and a method for adjusting a bed are disclosed. The bed is preset with a plurality of sets of adjustment parameters. An external muscle strength/pressure detection device or method is used to select at least two sets of the adjustment parameters suitable for the user. The corresponding sleep parameters are detected when the user sleeps, and the user-specific adjustment parameters are quickly selected and sent back to the bed for adjustment. Through the method, there is no need for the bed to provide pressure sensors.

Claims

1. An adjustment method of a bed, a bed surface of the bed being divided into a plurality of support blocks with an adjustable hardness according to different parts of a human body, the adjustment method comprising the following steps: (A) setting the support blocks of the bed with different hardness combinations as multiple sets of different adjustment parameters; (B) using an external muscle strength/pressure detection device or method to test a user, and selecting at least two sets of the multiple sets of adjustment parameters for the user; (C) adjusting the hardness of each of the support blocks of the bed according to the at least two sets of adjustment parameters selected in step (B); (D) using a sleep detection module to detect sleep parameters of the user corresponding to the different adjustment parameters when the user sleeps in the bed in step (C); (E) using an analysis unit to obtain the different adjustment parameters and the sleep parameters of step (D), and analyzing the optimal sleep parameters and the corresponding adjustment parameters to form user-specific adjustment parameters; and (F) retransmitting the user-specific adjustment parameters in step (E) to the bed or other beds with the same specification, so that the hardness of each of the support blocks of the bed can be adjusted according to the user-specific adjustment parameters.

2. An adjustment system of a bed, comprising: the bed having an identification code unit, a bed surface of the bed being divided into a plurality of support blocks, the bed being provided with an internal controller for adjusting the hardness of each of the support blocks, the internal controller being pre-arranged with multiple sets of different adjustment parameters according to different hardness combinations of the support blocks; an external muscle strength/pressure detection device, the external muscle strength/pressure detection device including a plurality of detection blocks corresponding to the plurality of support blocks of the bed to select at least two sets of the multiple sets of adjustment parameters for the internal controller of the bed to respectively adjust the hardness of each of the support blocks according to the at least two sets of adjustment parameters; a sleep detection module, the sleep detection module being able to detect the sleeping state of the user in the bed according to the different adjustment parameters and output corresponding sleep parameters; and an analysis unit communicating with the internal controller and the sleep detection module through signals, the analysis unit comparing and analyzing the different sleep parameters of the sleep detection module to find out the best sleep parameter and the corresponding adjustment parameters, so that user-specific adjustment parameters are formed and stored in an identification management unit, the internal controller of the bed adjusting the hardness of each of the support blocks according to the user-specific adjustment parameters stored by the identification management unit.

3. The adjustment system of the bed as claimed in claim 2, wherein at least one air bag is provided in each of the support blocks, the air bag is connected to an inflation and deflation device controlled by the internal controller, so that the internal controller can control the saturation of the air bag to adjust the hardness of each of the support blocks through the inflation and deflation device.

4. The adjustment system of the bed as claimed in claim 2, wherein the analysis unit is built in an external controller, the external controller communicates with the sleep detection module and the internal controller through signals, and the internal controller of the bed is able to receive wired or wireless signals of the external controller so that the internal controller of the bed can adjust the hardness of each of the support blocks.

5. The adjustment system of the bed as claimed in claim 4, wherein the external controller has a network interface for uploading the user-specific adjustment parameters analyzed by the analysis unit to a drive-by-wire device, a remote controller or a mobile device of a cloud service platform.

6. The adjustment system of the bed as claimed in claim 2, wherein both the sleep detection module and the analysis unit are built in an external controller, and the internal controller of the bed is able to receive wired or wireless signals of the external controller so that the internal controller of the bed can adjust the hardness of each of the support blocks.

7. The adjustment system of the bed as claimed in claim 6, wherein the external controller has a network interface for uploading the user-specific adjustment parameters analyzed by the analysis unit to a drive-by-wire device, a remote controller or a mobile device of a cloud service platform.

8. The adjustment system of the bed as claimed in claim 2, wherein the analysis unit and the sleep detection module are integrated and built in an external controller

9. The adjustment system of the bed as claimed in claim 8, wherein the internal controller has a network interface for uploading the user-specific adjustment parameters analyzed by the analysis unit to a drive-by-wire device, a remote controller or a mobile device of a cloud service platform.

10. The adjustment system of the bed as claimed in claim 2, further comprising a network controller communicated with the internal controller and the sleep detection module by means of signals, wherein the analysis unit is built in the cloud service platform so that the adjustment parameters of the internal controller and the sleep parameters detected by the sleep detection module can be uploaded to the cloud service platform through the network controller, after the user-specific adjustment parameters are analyzed by the analysis unit of the cloud service platform, the user-specific adjustment parameters are transmitted to the internal controller of the bed through the network controller for performing adjustment.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0022] FIG. 1 is a first schematic view of an adjustment system in accordance with a first embodiment of the present invention;

[0023] FIG. 2 is a second schematic view of an adjustment system in accordance with the first embodiment of the present invention;

[0024] FIG. 3 is a schematic view of an adjustment system in accordance with a second embodiment of the present invention;

[0025] FIG. 4 is a schematic view of an adjustment system in accordance with a third embodiment of the present invention;

[0026] FIG. 5 is a schematic view of an adjustment system in accordance with a fourth embodiment of the present invention; and

[0027] FIG. 6 is a block diagram of an adjustment method of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0028] As shown in FIG. 1 and FIG. 2, the present invention discloses an adjustment system of a bed 10. The bed 10 has an identification code unit 11 and a bed surface 12 that is divided into a plurality of support blocks 13 according to different parts of a human body. At least one air bag 14 is provided in each of the support blocks 13. The air bag 14 is connected to an inflation and deflation device 15. The inflation and deflation device 15 can adjust the hardness of the air bag 14 through an internal controller 16. The internal controller 16 is pre-arranged with multiple sets of different adjustment parameters 17 according to a combination of the different hardness of each of the support blocks 13.

[0029] For example, the support blocks 13 include a head block, a shoulder and neck block, a back block, a waist block, a buttock block, and a leg block. Each support block 13 has three adjustment modes, namely, soft, moderate and hard. When the adjustment parameters 17 are set, the head block is soft, the shoulder and neck block is moderate, the back block is soft, the waist block is hard, the buttock block is soft and the leg block is moderate to form a first set of adjustment parameters 17; the head block is moderate head, the shoulder and neck block is hard, the back block is soft, the waist block is soft, the buttock block is moderate and the leg block is hard to form a second set of adjustment parameters 17, and so on, to form the above-mentioned multiple sets of adjustment parameters 17.

[0030] In order to quickly find the adjustment parameters 17 that may be suitable for the user, the system may further include an external muscle strength/pressure detection device 20. When implemented, the external muscle strength/pressure detection device 20 includes a plurality of detection blocks 21 corresponding to the plurality of support blocks 13 of the bed 10. Each of the detection blocks 21 can detect the user by using a muscle strength or pressure detection method, and select at least two sets of the multiple sets of adjustment parameters 17 for the internal controller 16 of the bed 10 to respectively adjust the hardness of each air bag 14 according to the at least two sets of adjustment parameters 17. In practice, the external muscle strength/pressure detection method is not limited to the use of equipment. It may be the hardware, software, or manual test, as long as it can detect the muscle strength/pressure of the human body when sleeping.

[0031] Taking the aforementioned adjustment parameters 17 as an example, after detection, if the suitable adjustment parameters 17 of the user are the first set, the fourth set and the fifth set, when the first set of adjustment parameters 17 is selected by the internal controller 16, the internal controller 16 can adjust the plurality of support blocks 13, that is, the head block is soft, the shoulder and neck block is moderate, the back block is soft, the waist block is hard, the buttock block is soft, the leg block is moderate, and so on.

[0032] After the bed 10 is adjusted according to one set of the selected at least two sets of adjustment parameters 17, when the user sleeps in the bed 10, a sleep detection module 30 is used to detect the sleeping state of the user in the bed 10 and output a sleep parameter 31. Similarly, after the bed 10 is adjusted according to the other set of the selected at least two sets of adjustment parameters 17, the sleep detection module 30 outputs another sleep parameter 31 corresponding to the other set of adjustment parameters 17.

[0033] The sleep parameter 31 output by the sleep detection module 30 and the adjustment parameters 17 corresponding to the internal controller 16 are respectively transmitted to an analysis unit 40. The analysis unit 40 communicates with the sleep detection module 30 and the internal controller 16 through signals to compare and analyze the different sleep parameters 31 of the sleep detection module 30 to find out the best sleep parameter 31 and the corresponding adjustment parameters 17, so that the user-specific adjustment parameters 17 are formed and stored in an identification management unit 41. For example, the sleep parameter 31 includes physiological conditions such as brain waves, respirations, heartbeats, blood pressure changes, and eye movements when the user sleeps. The analysis unit 40 may determine the time when the user enters a deep sleep stage according to the changes of the physiological conditions. The longest period of deep sleep is the best sleep parameter 31.

[0034] After that, when the analysis unit 40 outputs the user-specific adjustment parameters 17 stored by the recognition management unit 41 in a wired or wireless manner, the internal controller 16 of the bed 10 adjusts the hardness of each support block 13 according to the user-specific adjustment parameters 17 to achieve the purpose of smart adjustment management of the bed after receiving the user-specific adjustment parameters 17.

[0035] It is worth mentioning that the analysis unit 40 may have a variety of possible implementation manners. As shown in FIG. 1 and FIG. 2, the analysis unit 40 is built in an external controller 50. In general, mobile devices, such as smart phones, smart watches or tablet computers that users carry with them, have data transmission capabilities. Therefore, the analysis unit 40 as shown in the figures may be in the form of application software (APP) installed and built in the external controller 50 composed of these mobile devices to facilitate user operation. Besides, these mobile devices may be used for the user to use text or voice input, fingerprint recognition or face recognition to log in and operate the analysis unit 40 to facilitate personal identification. Of course, the external controller 50 may be implemented with a physical device, for example, a drive-by-wire device or a remote controller, as long as it has data transmission capability and can be operated by the user.

[0036] As shown in FIG. 3, in conjunction with the embodiment in which the analysis unit 40 is built in an external controller 50, the sleep detection module 30 in the form of application software (APP) may be installed and built in the external controller 50. When the user sleeps, the external controller 50 is placed on the side of the bed to analyze the aforementioned user-specific adjustment parameters.

[0037] Alternatively, as shown in FIG. 4, both the analysis unit 40 and the sleep detection module 30 are built in the internal controller 16 of the bed 10. When the user finds out the best sleep parameter 31 and the corresponding adjustment parameters 17 by means of the above-mentioned method to form the user-specific adjustment parameters 17, it can be quickly adjusted to the optimal state for the user to sleep as long as the bed 10 is of the same specification.

[0038] In the embodiments shown in FIG. 1 to FIG. 4, no matter whether it is the internal controller 16 or the external controller 50, only a network interface (not shown) is required to upload the user-specific adjustment parameters 17 analyzed by the analysis unit 40 to a cloud service platform 60 for the management of the bed manufacturer or for users to download their own adjustment parameters at the remote site.

[0039] In addition, as shown in FIG. 5, the analysis unit 40 may be built in the cloud service platform 60 to analyze the trend of big data in the cloud. The embodiment further includes a network controller 70 communicated with the internal controller 16 and the sleep detection module 30 by means of signals, so that the adjustment parameters 17 of the internal controller 16 and the sleep parameter 31 detected by the sleep detection module 30 can be uploaded to the cloud service platform 60 through the network controller 70 for analysis by the analysis unit 40 built in the cloud service platform 60. The user-specific adjustment parameters 17 analyzed by the analysis unit 40 are transmitted to the internal controller 16 of the bed 10 through the network controller 70 for performing adjustment.

[0040] As shown in FIG. 6, according to the description of the above embodiment of the system, the method of the present invention comprises the following adjustment steps: [0041] (A) pre-setting the adjustment parameters of the bed: the support blocks of the bed are combined into multiple sets of different adjustment parameters with different hardness; [0042] (B) selecting at least two sets of the adjustment parameters suitable for the user: a particular user is tested by an external muscle strength/pressure detection device or method, and in the multiple sets of adjustment parameters of step (A), at least two sets of adjustment parameters suitable for the user are selected; [0043] (C) adjusting the hardness of the bed: the hardness of each support block of the bed is adjusted according to the at least two sets of adjustment parameters selected in step (B); [0044] (D) detecting the sleep parameters: when the specific user sleeps in the bed, a sleep detection module is used to detect the sleep parameters of the user corresponding to the different adjustment parameters; [0045] (E) analyzing and obtaining the user-specific adjustment parameters: using an analysis unit to obtain the different adjustment parameters and the sleep parameters of step (D), and analyzing the optimal sleep parameters and the corresponding adjustment parameters to form the user-specific adjustment parameters; and [0046] (F) adjusting the bed according to the user-specific adjustment parameters: the user-specific adjustment parameters in step (E) are retransmitted to the bed or the other beds with the same specification, so that the hardness of each support block of the bed is adjusted according to the user-specific adjustment parameters.

[0047] Although particular embodiments of the present invention have been described in detail for purposes of illustration, various modifications and enhancements may be made without departing from the spirit and scope of the present invention. Accordingly, the present invention is not to be limited except as by the appended claims.