CN113261807B - Intelligent storage bed control method and device and intelligent storage bed - Google Patents

Intelligent storage bed control method and device and intelligent storage bed Download PDF

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Publication number
CN113261807B
CN113261807B CN202110599772.1A CN202110599772A CN113261807B CN 113261807 B CN113261807 B CN 113261807B CN 202110599772 A CN202110599772 A CN 202110599772A CN 113261807 B CN113261807 B CN 113261807B
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information
bed board
storage
bed
determining
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CN113261807A (en
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齐发云
孙泽明
唐大专
彭作超
陈定略
李子龙
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Minhua Intelligent Technology Huizhou Co ltd
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Minhua Intelligent Technology Huizhou Co ltd
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    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C17/00—Sofas; Couches; Beds
    • A47C17/86—Parts or details for beds, sofas or couches only not fully covered in a single one of the sub-groups A47C17/02, A47C17/04, A47C17/38, A47C17/52, A47C17/64, or A47C17/84; Drawers in or under beds
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C19/00—Bedsteads
    • A47C19/02—Parts or details of bedsteads not fully covered in a single one of the following subgroups, e.g. bed rails, post rails
    • A47C19/021—Bedstead frames
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C19/00—Bedsteads
    • A47C19/04—Extensible bedsteads, e.g. with adjustment of length, width, height
    • A47C19/045—Extensible bedsteads, e.g. with adjustment of length, width, height with entire frame height or inclination adjustments
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47C—CHAIRS; SOFAS; BEDS
    • A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
    • A47C31/12—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
    • A47C31/123—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for beds or mattresses
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Nursing (AREA)
  • Invalid Beds And Related Equipment (AREA)

Abstract

The invention discloses an intelligent storage bed control method and device and an intelligent storage bed, wherein the method comprises the following steps: acquiring an environmental pressure parameter, and determining environmental stress information according to the environmental pressure parameter; acquiring storage parameters, and determining storage information according to the storage parameters; determining a bed board lifting control parameter according to the environmental stress information and the storage information; the bed board lifting control parameters are used for indicating corresponding physical parameters when the bed board of the intelligent storage bed is controlled to lift. Therefore, the invention can intelligently determine the bed board lifting control parameter by effectively utilizing the calculated stress information and storage information of the storage bed, thereby effectively improving the accuracy and stability of the bed board lifting control of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed and further bringing more satisfactory intelligent home service for users.

Description

Intelligent storage bed control method and device and intelligent storage bed
Technical Field
The invention relates to the technical field of intelligent home, in particular to an intelligent storage bed control method and device and an intelligent storage bed.
Background
The bed is used as household equipment most commonly used in life of a user, the space below the bed board often bears the function of storing, and the intelligent communication mode is used for controlling the lifting of the bed board, so that the user can utilize the space below the bed board to store the objects, and the technology is also popular with consumers. However, in the existing intelligent storage bed control technology, the instruction of the user is generally executed only mechanically, and the control is not assisted or corrected by considering the corresponding physical parameters of the storage bed, so that the prior art has certain defects and needs to be solved.
Disclosure of Invention
The invention aims to solve the technical problems by providing the intelligent storage bed control method and device and the intelligent storage bed, which can intelligently determine the bed board lifting control parameters by effectively utilizing the calculated stress information and storage information of the storage bed, thereby effectively improving the accuracy and stability of the bed board lifting control of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed and further bringing more satisfactory intelligent household service to users.
In order to solve the technical problems, a first aspect of the present invention discloses an intelligent storage bed control method, which comprises:
Acquiring an environmental pressure parameter, and determining environmental stress information according to the environmental pressure parameter; the environmental pressure parameter is obtained by one or more pressure detection components arranged on the bed board of the intelligent storage bed; the environment stress information is used for representing stress conditions at specific positions of the intelligent storage bed;
acquiring storage parameters, and determining storage information according to the storage parameters; the storage parameters are obtained by one or more sensing components arranged in a storage space of the intelligent storage bed; the storage information is used for indicating the state of the articles in the storage space;
determining a bed board lifting control parameter according to the environmental stress information and the storage information; the bed board lifting control parameters are used for indicating corresponding physical parameters when the bed board of the intelligent storage bed is controlled to lift.
As an alternative embodiment, in the first aspect of the present invention, the environmental pressure parameter includes one or more of top center compression, top edge compression, bottom center compression, bottom edge compression of the bed deck; and/or, the environmental stress information comprises bearing related stress information and/or clamp related stress information; and/or the storage parameters comprise one or more of occupation area information, quantity information and volume information of the articles in the storage space; and/or the storage information comprises the storage space occupied ratio information and/or the storage space position information of the storage space; and/or the bed board lifting control parameters comprise one or more of bed board lifting start time, bed board lifting end time, bed board descending start time, bed board descending end time, bed board lifting height and bed board lifting speed.
In a first aspect of the present invention, the determining environmental stress information according to the environmental pressure parameter includes:
determining bearing related stress information in the environmental stress information according to the top surface center compression and/or the top surface edge compression in the environmental pressure parameters; the bearing related stress information is used for indicating the stress condition of the bed board when bearing the weight;
and/or the number of the groups of groups,
determining the clamp-related stress information in the environment stress information according to the central compression of the bottom surface and/or the edge compression of the bottom surface in the environment pressure parameters; the clamp-related stress information is used for indicating the stress condition of the bed board clamped to the article when the bed board is closed.
In an optional implementation manner, in a first aspect of the present invention, the determining storage information according to the storage parameter includes:
calculating total volume information and distribution position information of the articles in the storage space according to the storage parameters;
and determining storage information according to the total volume information and the distribution position information of the objects in the storage space and the total space information of the storage space.
In an optional implementation manner, in a first aspect of the present invention, determining a bed board lifting control parameter according to the environmental stress information and the storage information includes:
Judging whether the bearing related stress information meets a preset overload stress condition or not according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the overload stress condition, determining that the current moment is the bed board lifting ending time in the bed board lifting control parameter; the overload stress condition is that the top center compression of the bed plate is larger than the first times of the top edge compression of the bed plate;
and/or the number of the groups of groups,
judging whether the bearing related stress information meets a preset bearing ending condition according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the bearing ending condition, determining the current moment as the bed board rising starting time in the bed board lifting control parameter; the bearing end condition is that the top center of the bed board is pressed and/or the top edge is pressed to be larger than a first pressure threshold value within a first time length and smaller than a second pressure threshold value at the current moment; the first pressure threshold is greater than the second pressure threshold;
and/or the number of the groups of groups,
judging whether the clamp-related stress information meets preset clamping conditions or not according to the clamp-related stress information in the environment stress information;
When judging that the clamp-related stress information meets the clamping conditions, determining the current moment as the bed board descending ending time in the bed board lifting control parameters; the object clamping condition is that the bottom surface edge pressure of the bed board is not zero and the bottom surface center pressure is zero.
In an optional implementation manner, in a first aspect of the present invention, determining a bed board lifting control parameter according to the environmental stress information and the storage information includes:
judging whether the stored object space ratio information meets a preset object taking ending condition according to the stored object space ratio information in the stored object information;
when judging that the object space occupation ratio information meets the object taking end condition, determining the current moment as the descending start time in the bed board lifting control parameter; the object taking end condition is that the occupied space ratio information of the object to be placed is reduced at the current moment and the reduction amount is higher than a preset reduction space ratio threshold;
and/or the number of the groups of groups,
judging whether the stored object space position information meets the preset object taking port full object placing condition according to the stored object space position information in the object storing information;
When the space position information of the placed object meets the sufficient object placing condition of the object taking port, determining that the lifting height of the bed plate in the bed plate lifting control parameters is lower than a preset height threshold; the object taking opening fully placing condition is that the intersection area of the placed object space position information and the object taking opening area is larger than a preset intersection area threshold value; the object taking opening area is an area in the object storage space, and a user can take objects through the object taking opening opened by the object storage space when the bed board ascends.
As an alternative embodiment, in the first aspect of the present invention, the method further includes:
acquiring a bed board lifting control instruction sent by a user;
and correcting the bed board lifting control instruction according to the bed board lifting control parameter to obtain a control command for controlling the bed board.
The second aspect of the invention discloses an intelligent storage bed control device, which comprises:
the first determining module is used for acquiring environmental pressure parameters and determining environmental stress information according to the environmental pressure parameters; the environmental pressure parameter is obtained by one or more pressure detection components arranged on the bed board of the intelligent storage bed; the environment stress information is used for representing stress conditions at specific positions of the intelligent storage bed;
The second determining module is used for acquiring storage parameters and determining storage information according to the storage parameters; the storage parameters are obtained by one or more sensing components arranged in a storage space of the intelligent storage bed; the storage information is used for indicating the state of the articles in the storage space;
the third determining module is used for determining the lifting control parameter of the bed board according to the environmental stress information and the storage information; the bed board lifting control parameters are used for indicating corresponding physical parameters when the bed board of the intelligent storage bed is controlled to lift.
As an alternative embodiment, in the second aspect of the present invention, the environmental pressure parameter includes one or more of top center compression, top edge compression, bottom center compression, bottom edge compression of the bed deck; and/or, the environmental stress information comprises bearing related stress information and/or clamp related stress information; and/or the storage parameters comprise one or more of occupation area information, quantity information and volume information of the articles in the storage space; and/or the storage information comprises the storage space occupied ratio information and/or the storage space position information of the storage space; and/or the bed board lifting control parameters comprise one or more of bed board lifting start time, bed board lifting end time, bed board descending start time, bed board descending end time, bed board lifting height and bed board lifting speed.
In a second aspect of the present invention, the determining, by the first determining module, the environmental stress information according to the environmental pressure parameter includes:
determining bearing related stress information in the environmental stress information according to the top surface center compression and/or the top surface edge compression in the environmental pressure parameters; the bearing related stress information is used for indicating the stress condition of the bed board when bearing the weight;
and/or the number of the groups of groups,
determining the clamp-related stress information in the environment stress information according to the central compression of the bottom surface and/or the edge compression of the bottom surface in the environment pressure parameters; the clamp-related stress information is used for indicating the stress condition of the bed board clamped to the article when the bed board is closed.
In a second aspect of the present invention, the determining, by the second determining module, a specific manner of determining the storage information according to the storage parameter includes:
calculating total volume information and distribution position information of the articles in the storage space according to the storage parameters;
and determining storage information according to the total volume information and the distribution position information of the objects in the storage space and the total space information of the storage space.
In a second aspect of the present invention, the determining, by the third determining module, a specific mode of determining a bed board lifting control parameter according to the environmental stress information and the storage information includes:
judging whether the bearing related stress information meets a preset overload stress condition or not according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the overload stress condition, determining that the current moment is the bed board lifting ending time in the bed board lifting control parameter; the overload stress condition is that the top center compression of the bed plate is larger than the first times of the top edge compression of the bed plate;
and/or the number of the groups of groups,
judging whether the bearing related stress information meets a preset bearing ending condition according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the bearing ending condition, determining the current moment as the bed board rising starting time in the bed board lifting control parameter; the bearing end condition is that the top center of the bed board is pressed and/or the top edge is pressed to be larger than a first pressure threshold value within a first time length and smaller than a second pressure threshold value at the current moment; the first pressure threshold is greater than the second pressure threshold;
And/or the number of the groups of groups,
judging whether the clamp-related stress information meets preset clamping conditions or not according to the clamp-related stress information in the environment stress information;
when judging that the clamp-related stress information meets the clamping conditions, determining the current moment as the bed board descending ending time in the bed board lifting control parameters; the object clamping condition is that the bottom surface edge pressure of the bed board is not zero and the bottom surface center pressure is zero.
In a second aspect of the present invention, the determining, by the third determining module, a specific mode of determining a bed board lifting control parameter according to the environmental stress information and the storage information includes:
judging whether the stored object space ratio information meets a preset object taking ending condition according to the stored object space ratio information in the stored object information;
when judging that the object space occupation ratio information meets the object taking end condition, determining the current moment as the descending start time in the bed board lifting control parameter; the object taking end condition is that the occupied space ratio information of the object to be placed is reduced at the current moment and the reduction amount is higher than a preset reduction space ratio threshold;
And/or the number of the groups of groups,
judging whether the stored object space position information meets the preset object taking port full object placing condition according to the stored object space position information in the object storing information;
when the space position information of the placed object meets the sufficient object placing condition of the object taking port, determining that the lifting height of the bed plate in the bed plate lifting control parameters is lower than a preset height threshold; the object taking opening fully placing condition is that the intersection area of the placed object space position information and the object taking opening area is larger than a preset intersection area threshold value; the object taking opening area is an area in the object storage space, and a user can take objects through the object taking opening opened by the object storage space when the bed board ascends.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes a correction module configured to:
acquiring a bed board lifting control instruction sent by a user;
and correcting the bed board lifting control instruction according to the bed board lifting control parameter to obtain a control command for controlling the bed board.
In a third aspect, the invention discloses another intelligent storage bed control device, which comprises:
a memory storing executable program code;
A processor coupled to the memory;
the processor invokes the executable program code stored in the memory to execute some or all of the steps in the intelligent storage bed control method disclosed in the first aspect of the embodiment of the present invention.
The fourth aspect of the embodiment of the invention discloses an intelligent storage bed control system, which comprises a smart card and a first device, wherein the system is used for executing part or all of the steps in the intelligent storage bed control method disclosed in the first aspect of the embodiment of the invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, an environmental pressure parameter is acquired, and environmental stress information is determined according to the environmental pressure parameter; the environmental pressure parameter is obtained by one or more pressure detection components arranged on the bed board of the intelligent storage bed; the environment stress information is used for representing stress conditions at specific positions of the intelligent storage bed; acquiring storage parameters, and determining storage information according to the storage parameters; the storage parameters are obtained by one or more sensing components arranged in a storage space of the intelligent storage bed; the storage information is used for indicating the state of the articles in the storage space; determining a bed board lifting control parameter according to the environmental stress information and the storage information; the bed board lifting control parameters are used for indicating corresponding physical parameters when the bed board of the intelligent storage bed is controlled to lift. Therefore, the invention can intelligently determine the bed board lifting control parameter by effectively utilizing the calculated stress information and storage information of the storage bed, thereby effectively improving the accuracy and stability of the bed board lifting control of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed and further bringing more satisfactory intelligent home service for users.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an intelligent storage bed control method disclosed in an embodiment of the invention;
FIG. 2 is a schematic structural diagram of an intelligent storage bed control device according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another intelligent storage bed control apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent storage bed according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses an intelligent storage bed control method and device and an intelligent storage bed, which can intelligently determine a bed board lifting control parameter by effectively utilizing calculated stress information and storage information of the storage bed, thereby effectively improving the accuracy and stability of the bed board lifting control of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed and further bringing more satisfactory intelligent home service to users. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent storage bed control method according to an embodiment of the invention. The method described in fig. 1 may be applied to a corresponding control device, a control terminal, and a control server to control the intelligent storage bed as shown in fig. 4, where the server may be a local server or a cloud server, and embodiments of the present invention are not limited. As shown in fig. 1, the intelligent storage bed control method may include the following operations:
101. and acquiring an environmental pressure parameter, and determining environmental stress information according to the environmental pressure parameter.
In an embodiment of the invention, the ambient pressure parameter is obtained by one or more pressure sensing components disposed on the deck of the intelligent storage bed. Alternatively, the pressure detecting member may be provided at a position of one or more of a top center position, a top edge position, a bottom edge position, and a bottom center position of the bed plate to detect the pressure to which the placed position is subjected. Optionally, the environmental pressure parameter comprises one or more of top center compression, top edge compression, bottom center compression, bottom edge compression of the bed deck.
In the embodiment of the invention, the environmental stress information is used for representing the stress condition of the intelligent storage bed at a specific position. Optionally, the environmental stress information includes load-related stress information and/or clamp-related stress information.
102. And acquiring storage parameters, and determining storage information according to the storage parameters.
In an embodiment of the invention, the storage parameters are obtained by one or more sensing components arranged in the storage space of the intelligent storage bed. Optionally, the storage space is a storage space arranged below the bed board, and is exposed when the bed board is lifted. Alternatively, the sensing component may be one or more of an image sensing component, an infrared sensing component, and an electromagnetic wave sensing component, which is used to detect information about the object placed in the storage space. Optionally, the storage parameters may include one or more of occupation area information, quantity information, and volume information of the items within the storage space.
In the embodiment of the invention, the storage information is used for indicating the state of the article in the storage space. Optionally, the storage information may include storage space occupied ratio information and/or storage space position information.
103. And determining the lifting control parameters of the bed board according to the environmental stress information and the storage information.
In the embodiment of the invention, the bed board lifting control parameter is used for indicating the corresponding physical parameter when the bed board of the intelligent storage bed is controlled to lift. Optionally, the bed board lifting control parameter includes one or more of bed board lifting start time, bed board lifting end time, bed board descending start time, bed board descending end time, bed board lifting height and bed board lifting speed.
Therefore, the method described by the embodiment of the invention can effectively utilize the calculated stress information and storage information of the storage bed to intelligently determine the lifting control parameters of the bed board, thereby effectively improving the accuracy and stability of the lifting control of the bed board of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed and further bringing more satisfactory intelligent home service to users.
In an alternative embodiment, the determining environmental stress information according to the environmental pressure parameter in step 101 includes:
and determining bearing related stress information in the environmental stress information according to the top surface center compression and/or the top surface edge compression in the environmental pressure parameters, wherein the bearing related stress information is used for indicating the stress condition of the bed board when bearing the weight.
Therefore, by implementing the optional implementation mode, the bearing relevant stress information in the environment stress information can be determined according to the top surface center compression and/or the top surface edge compression in the environment pressure parameters, so that the bearing relevant stress information is calculated more accurately, a data basis is provided for the calculation of the follow-up bed board lifting control parameters, and the accuracy and the stability of the bed board lifting control of the intelligent storage bed are further effectively improved.
In an alternative embodiment, the determining environmental stress information according to the environmental pressure parameter in step 101 includes:
and determining clamp-related stress information in the environment stress information according to the central stress and/or the edge stress of the bottom surface in the environment pressure parameters, wherein the clamp-related stress information is used for indicating the stress condition of clamping the bed board to the article during closing.
Therefore, by implementing the optional implementation mode, the clamp-related stress information in the environment stress information can be determined according to the bottom surface center compression and/or the bottom surface edge compression in the environment pressure parameters, so that the clamp-related stress information can be calculated more accurately, a data basis is provided for the calculation of the follow-up bed board lifting control parameters, and the accuracy and the stability of the bed board lifting control of the intelligent storage bed are further effectively improved.
In an optional embodiment, in step 102, determining storage information according to storage parameters includes:
calculating total volume information and distribution position information of the articles in the storage space according to the storage parameters;
and determining storage information according to the total volume information and the distribution position information of the articles in the storage space and the total space information of the storage space.
In the embodiment of the invention, the storage parameters are parameters such as occupation area information, quantity information, volume information and the like of the articles obtained by the sensing component in the storage space, the total volume information and the distribution position information of the articles can be directly calculated by utilizing the parameters, and then the total space information of the preset storage space, namely a three-dimensional space model of the storage space which is measured in advance, can be used for determining the related information of the articles such as the occupied space ratio information and/or the position information of the placed articles in the storage space so as to obtain the storage information.
Therefore, by implementing the optional implementation mode, the storage information can be determined according to the total volume information and the distribution position information of the objects in the storage space and the total space information of the storage space, so that the storage information is calculated more accurately, a data basis is provided for the calculation of the follow-up bed board lifting control parameters, and the accuracy and the stability of the bed board lifting control of the intelligent storage bed are further effectively improved.
In an optional embodiment, in step 103, determining the bed board lifting control parameter according to the environmental stress information and the storage information includes:
Judging whether the bearing related stress information meets a preset overload stress condition or not according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the overload stress condition, determining that the current moment is the bed board lifting ending time in the bed board lifting control parameter, wherein the overload stress condition is a first times value that the top center stress of the bed board is larger than the top edge stress of the bed board.
Alternatively, the first-time value may be set by a skilled person based on experimental results or experience, without limitation.
Therefore, by implementing the optional implementation mode, when the load bearing related stress information is judged to meet the overload stress condition, the current time is determined to be the bed board rising end time in the bed board lifting control parameter, so that the lifting is stopped in time when the heavy load bearing is detected in the bed board lifting process, the accident occurrence is reduced, the accuracy and the stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent home service is brought to users.
In an optional embodiment, in step 103, determining the bed board lifting control parameter according to the environmental stress information and the storage information includes:
Judging whether the bearing related stress information meets a preset bearing ending condition according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the bearing ending condition, the current moment is determined to be the bed board rising starting time in the bed board lifting control parameter, wherein the bearing ending condition is that the top center of the bed board is pressed and/or the top edge is pressed to be larger than a first pressure threshold value within a first time length and smaller than a second pressure threshold value at the current moment.
Alternatively, the first time period, the first pressure threshold, and the second pressure threshold may be set by a skilled person according to experimental results or experience, which is not limited herein. Preferably, the first pressure threshold should be set to be greater than the second pressure threshold, more preferably, the first pressure threshold should be set to be substantially greater than the second pressure threshold.
Therefore, by implementing the optional implementation mode, when the bearing related stress information is judged to meet the bearing ending condition, the current moment is determined to be the bed board rising starting time in the bed board lifting control parameter, so that the bed board lifting is started when the user is detected to leave the bed board, the accuracy and the stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent household service is brought to the user.
In an optional embodiment, in step 103, determining the bed board lifting control parameter according to the environmental stress information and the storage information includes:
judging whether the clamp-related stress information meets preset clamping conditions according to the clamp-related stress information in the environment stress information;
when the stress information related to the clamp meets the clamping condition, determining that the current moment is the bed board descending ending time in the bed board lifting control parameter, wherein the clamping condition is that the bottom surface edge pressure of the bed board is not zero and the bottom surface center pressure is zero.
Therefore, by implementing the optional implementation mode, when the condition that the stress information related to the clamp meets the clamping condition is judged, the current time is the bed board descending ending time in the bed board lifting control parameter, so that the bed board descending stopping is realized when articles or the body part of the user is detected to be positioned at the edge of the bottom surface of the bed board and possibly clamped when the bed board descends, the possible damage is reduced, the accuracy and the stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent home service is brought to the user.
In an optional embodiment, in step 103, determining the bed board lifting control parameter according to the environmental stress information and the storage information includes:
judging whether the stored object space occupation ratio information meets a preset object taking ending condition according to the stored object space occupation ratio information in the stored object information;
and when judging that the object-placed space ratio information meets the object-taking end condition, determining the current moment as the descending start time in the bed board lifting control parameter, wherein the object-taking end condition is that the object-placed space ratio information is reduced at the current moment and the reduction amount is higher than a preset reduction space ratio threshold.
Alternatively, the reduction space ratio threshold may be set by the skilled person based on experimental results or experience, without limitation.
Therefore, by implementing the optional implementation mode, when the fact that the object-placing space ratio information meets the object-taking end condition is judged, the current moment is determined to be the descending start time in the bed board lifting control parameter, so that the descending of the bed board is started when the object-taking of a user is detected, the accuracy and stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent home service is brought to the user.
In an optional embodiment, in step 103, determining the bed board lifting control parameter according to the environmental stress information and the storage information includes:
judging whether the stored object space position information meets the preset object taking port full object placing condition according to the stored object space position information in the object storing information;
when the object-placing space position information is judged to meet the object-taking opening full-placing condition, determining that the lifting height of the bed board in the bed board lifting control parameter is lower than a preset height threshold, wherein the object-taking opening full-placing condition is that the intersection area of the object-placing space position information and the object-taking opening area is larger than the preset intersection area threshold.
In the embodiment of the invention, the object taking opening area is an area in the object storage space, and a user can take objects through the object taking opening opened by the object storage space when the bed board ascends. The schematic diagrams of the access opening and the access area can be understood with reference to an exemplary diagram of the structure of the intelligent storage bed shown in fig. 4.
Alternatively, the height threshold and the intersection area threshold may be set by a skilled person based on experimental results or experience, without limitation.
Therefore, by implementing the optional implementation mode, when the object-placing space position information meets the object-placing condition of the object-placing opening, the lifting height of the bed plate in the bed plate lifting control parameter is determined to be lower than the preset height threshold value, so that when enough objects are placed in the object-placing opening area, the lifting height of the bed plate is reduced, the object-placing opening which is wide enough and as small as possible is reserved for a user to take objects, and the user can take objects without the object-placing opening which is too large at the moment, so that the setting can effectively reduce the lifting height of the bed plate, achieve a remarkable energy-saving effect, further effectively improve the accuracy and stability of the lifting control of the bed plate of the intelligent object-placing bed, be favorable for improving the intelligent degree of the intelligent object-placing bed, and further bring more satisfactory intelligent household services for the user.
In an alternative embodiment, the method further comprises:
acquiring a bed board lifting control instruction sent by a user;
and correcting the bed plate lifting control command according to the bed plate lifting control parameter to obtain a control command for controlling the bed plate.
Optionally, the bed board lifting control instruction sent by the user may include a set user bed board lifting control parameter, or may be simply a bed board lifting start instruction, and when the bed board lifting control instruction is corrected according to the bed board lifting control parameter, the bed board lifting control parameter may be directly determined as the bed board lifting control instruction of the user, or the set user bed board lifting control parameter may be corrected according to the bed board lifting control parameter, so as to obtain a control command that may be used for controlling the bed board.
Therefore, by implementing the optional implementation mode, the bed board lifting control instruction sent by the user can be corrected according to the bed board lifting control parameter so as to obtain the control instruction for controlling the bed board, thereby realizing the control instruction for intelligently adjusting and correcting the user, assisting the user to achieve a more intelligent control effect, further effectively improving the accuracy and stability of the bed board lifting control of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed, and further bringing more satisfactory intelligent home service for the user.
Example two
Referring to fig. 2, fig. 2 is a schematic structural diagram of an intelligent storage bed control device according to an embodiment of the invention. The device described in fig. 2 may be applied to a corresponding control device, a control terminal, and a control server to control the intelligent storage bed as shown in fig. 4, where the server may be a local server or a cloud server, and embodiments of the present invention are not limited. As shown in fig. 2, the apparatus may include:
the first determining module 201 is configured to obtain an environmental pressure parameter, and determine environmental stress information according to the environmental pressure parameter.
In an embodiment of the invention, the ambient pressure parameter is obtained by one or more pressure sensing components disposed on the deck of the intelligent storage bed. Alternatively, the pressure detecting member may be provided at a position of one or more of a top center position, a top edge position, a bottom edge position, and a bottom center position of the bed plate to detect the pressure to which the placed position is subjected. Optionally, the environmental pressure parameter comprises one or more of top center compression, top edge compression, bottom center compression, bottom edge compression of the bed deck.
In the embodiment of the invention, the environmental stress information is used for representing the stress condition of the intelligent storage bed at a specific position. Optionally, the environmental stress information includes load-related stress information and/or clamp-related stress information.
The second determining module 202 is configured to obtain the storage parameter, and determine storage information according to the storage parameter.
In an embodiment of the invention, the storage parameters are obtained by one or more sensing components arranged in the storage space of the intelligent storage bed. Optionally, the storage space is a storage space arranged below the bed board, and is exposed when the bed board is lifted. Alternatively, the sensing component may be one or more of an image sensing component, an infrared sensing component, and an electromagnetic wave sensing component, which is used to detect information about the object placed in the storage space. Optionally, the storage parameters may include one or more of occupation area information, quantity information, and volume information of the items within the storage space.
In the embodiment of the invention, the storage information is used for indicating the state of the article in the storage space. Optionally, the storage information may include storage space occupied ratio information and/or storage space position information.
And the third determining module 203 is configured to determine a bed board lifting control parameter according to the environmental stress information and the storage information.
In the embodiment of the invention, the bed board lifting control parameter is used for indicating the corresponding physical parameter when the bed board of the intelligent storage bed is controlled to lift. Optionally, the bed board lifting control parameter includes one or more of bed board lifting start time, bed board lifting end time, bed board descending start time, bed board descending end time, bed board lifting height and bed board lifting speed.
Therefore, the device described by implementing the embodiment of the invention can intelligently determine the bed board lifting control parameter by effectively utilizing the calculated stress information and storage information of the storage bed, thereby effectively improving the accuracy and stability of the bed board lifting control of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed and further bringing more satisfactory intelligent home service to users.
As an alternative embodiment, the specific manner in which the first determining module 201 determines the environmental stress information according to the environmental pressure parameter includes:
determining bearing related stress information in the environmental stress information according to the top surface center compression and/or the top surface edge compression in the environmental pressure parameters; the bearing related stress information is used for indicating the stress condition of the bed board when bearing the weight;
and determining bearing related stress information in the environmental stress information according to the top surface center compression and/or the top surface edge compression in the environmental pressure parameters, wherein the bearing related stress information is used for indicating the stress condition of the bed board when bearing the weight.
Therefore, by implementing the optional implementation mode, the bearing relevant stress information in the environment stress information can be determined according to the top surface center compression and/or the top surface edge compression in the environment pressure parameters, so that the bearing relevant stress information is calculated more accurately, a data basis is provided for the calculation of the follow-up bed board lifting control parameters, and the accuracy and the stability of the bed board lifting control of the intelligent storage bed are further effectively improved.
As an alternative embodiment, the specific manner in which the first determining module 201 determines the environmental stress information according to the environmental pressure parameter includes:
and determining clamp-related stress information in the environment stress information according to the central stress and/or the edge stress of the bottom surface in the environment pressure parameters, wherein the clamp-related stress information is used for indicating the stress condition of clamping the bed board to the article during closing.
Therefore, by implementing the optional implementation mode, the clamp-related stress information in the environment stress information can be determined according to the bottom surface center compression and/or the bottom surface edge compression in the environment pressure parameters, so that the clamp-related stress information can be calculated more accurately, a data basis is provided for the calculation of the follow-up bed board lifting control parameters, and the accuracy and the stability of the bed board lifting control of the intelligent storage bed are further effectively improved.
As an optional implementation manner, the second determining module 202 determines a specific manner of the storage information according to the storage parameter, including:
calculating total volume information and distribution position information of the articles in the storage space according to the storage parameters;
and determining storage information according to the total volume information and the distribution position information of the articles in the storage space and the total space information of the storage space.
In the embodiment of the invention, the storage parameters are parameters such as occupation area information, quantity information, volume information and the like of the articles obtained by the sensing component in the storage space, the total volume information and the distribution position information of the articles can be directly calculated by utilizing the parameters, and then the total space information of the preset storage space, namely a three-dimensional space model of the storage space which is measured in advance, can be used for determining the related information of the articles such as the occupied space ratio information and/or the position information of the placed articles in the storage space so as to obtain the storage information.
Therefore, by implementing the optional implementation mode, the storage information can be determined according to the total volume information and the distribution position information of the objects in the storage space and the total space information of the storage space, so that the storage information is calculated more accurately, a data basis is provided for the calculation of the follow-up bed board lifting control parameters, and the accuracy and the stability of the bed board lifting control of the intelligent storage bed are further effectively improved.
As an optional implementation manner, the third determining module 203 determines a specific mode of the bed board lifting control parameter according to the environmental stress information and the storage information, where the specific mode includes:
Judging whether the bearing related stress information meets a preset overload stress condition or not according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the overload stress condition, determining that the current moment is the bed board lifting ending time in the bed board lifting control parameter, wherein the overload stress condition is a first times value that the top center stress of the bed board is larger than the top edge stress of the bed board.
Alternatively, the first-time value may be set by a skilled person based on experimental results or experience, without limitation.
Therefore, by implementing the optional implementation mode, when the load bearing related stress information is judged to meet the overload stress condition, the current time is determined to be the bed board rising end time in the bed board lifting control parameter, so that the lifting is stopped in time when the heavy load bearing is detected in the bed board lifting process, the accident occurrence is reduced, the accuracy and the stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent home service is brought to users.
As an optional implementation manner, the third determining module 203 determines a specific mode of the bed board lifting control parameter according to the environmental stress information and the storage information, where the specific mode includes:
Judging whether the bearing related stress information meets a preset bearing ending condition according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the bearing ending condition, the current moment is determined to be the bed board rising starting time in the bed board lifting control parameter, wherein the bearing ending condition is that the top center of the bed board is pressed and/or the top edge is pressed to be larger than a first pressure threshold value within a first time length and smaller than a second pressure threshold value at the current moment.
Alternatively, the first time period, the first pressure threshold, and the second pressure threshold may be set by a skilled person according to experimental results or experience, which is not limited herein. Preferably, the first pressure threshold should be set to be greater than the second pressure threshold, more preferably, the first pressure threshold should be set to be substantially greater than the second pressure threshold.
Therefore, by implementing the optional implementation mode, when the bearing related stress information is judged to meet the bearing ending condition, the current moment is determined to be the bed board rising starting time in the bed board lifting control parameter, so that the bed board lifting is started when the user is detected to leave the bed board, the accuracy and the stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent household service is brought to the user.
As an optional implementation manner, the third determining module 203 determines a specific mode of the bed board lifting control parameter according to the environmental stress information and the storage information, where the specific mode includes:
judging whether the clamp-related stress information meets preset clamping conditions according to the clamp-related stress information in the environment stress information;
when the stress information related to the clamp meets the clamping condition, determining that the current moment is the bed board descending ending time in the bed board lifting control parameter, wherein the clamping condition is that the bottom surface edge pressure of the bed board is not zero and the bottom surface center pressure is zero.
Therefore, by implementing the optional implementation mode, when the condition that the stress information related to the clamp meets the clamping condition is judged, the current time is the bed board descending ending time in the bed board lifting control parameter, so that the bed board descending stopping is realized when articles or the body part of the user is detected to be positioned at the edge of the bottom surface of the bed board and possibly clamped when the bed board descends, the possible damage is reduced, the accuracy and the stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent home service is brought to the user.
As an optional implementation manner, the third determining module 203 determines a specific mode of the bed board lifting control parameter according to the environmental stress information and the storage information, where the specific mode includes:
judging whether the stored object space occupation ratio information meets a preset object taking ending condition according to the stored object space occupation ratio information in the stored object information;
and when judging that the object-placed space ratio information meets the object-taking end condition, determining the current moment as the descending start time in the bed board lifting control parameter, wherein the object-taking end condition is that the object-placed space ratio information is reduced at the current moment and the reduction amount is higher than a preset reduction space ratio threshold.
Alternatively, the reduction space ratio threshold may be set by the skilled person based on experimental results or experience, without limitation.
Therefore, by implementing the optional implementation mode, when the fact that the object-placing space ratio information meets the object-taking end condition is judged, the current moment is determined to be the descending start time in the bed board lifting control parameter, so that the descending of the bed board is started when the object-taking of a user is detected, the accuracy and stability of the bed board lifting control of the intelligent storage bed are effectively improved, the intelligent degree of the intelligent storage bed is improved, and more satisfactory intelligent home service is brought to the user.
As an optional implementation manner, the third determining module 203 determines a specific mode of the bed board lifting control parameter according to the environmental stress information and the storage information, where the specific mode includes:
judging whether the stored object space position information meets the preset object taking port full object placing condition according to the stored object space position information in the object storing information;
when the object-placing space position information is judged to meet the object-taking opening full-placing condition, determining that the lifting height of the bed board in the bed board lifting control parameter is lower than a preset height threshold, wherein the object-taking opening full-placing condition is that the intersection area of the object-placing space position information and the object-taking opening area is larger than the preset intersection area threshold.
In the embodiment of the invention, the object taking opening area is an area in the object storage space, and a user can take objects through the object taking opening opened by the object storage space when the bed board ascends. The schematic diagrams of the access opening and the access area can be understood with reference to an exemplary diagram of the structure of the intelligent storage bed shown in fig. 4.
Alternatively, the height threshold and the intersection area threshold may be set by a skilled person based on experimental results or experience, without limitation.
Therefore, by implementing the optional implementation mode, when the object-placing space position information meets the object-placing condition of the object-placing opening, the lifting height of the bed plate in the bed plate lifting control parameter is determined to be lower than the preset height threshold value, so that when enough objects are placed in the object-placing opening area, the lifting height of the bed plate is reduced, the object-placing opening which is wide enough and as small as possible is reserved for a user to take objects, and the user can take objects without the object-placing opening which is too large at the moment, so that the setting can effectively reduce the lifting height of the bed plate, achieve a remarkable energy-saving effect, further effectively improve the accuracy and stability of the lifting control of the bed plate of the intelligent object-placing bed, be favorable for improving the intelligent degree of the intelligent object-placing bed, and further bring more satisfactory intelligent household services for the user.
As an alternative embodiment, the apparatus further comprises a correction module for:
acquiring a bed board lifting control instruction sent by a user;
and correcting the bed plate lifting control command according to the bed plate lifting control parameter to obtain a control command for controlling the bed plate.
Optionally, the bed board lifting control instruction sent by the user may include a set user bed board lifting control parameter, or may be simply a bed board lifting start instruction, and when the bed board lifting control instruction is corrected according to the bed board lifting control parameter, the bed board lifting control parameter may be directly determined as the bed board lifting control instruction of the user, or the set user bed board lifting control parameter may be corrected according to the bed board lifting control parameter, so as to obtain a control command that may be used for controlling the bed board.
Therefore, by implementing the optional implementation mode, the bed board lifting control instruction sent by the user can be corrected according to the bed board lifting control parameter so as to obtain the control instruction for controlling the bed board, thereby realizing the control instruction for intelligently adjusting and correcting the user, assisting the user to achieve a more intelligent control effect, further effectively improving the accuracy and stability of the bed board lifting control of the intelligent storage bed, being beneficial to improving the intelligent degree of the intelligent storage bed, and further bringing more satisfactory intelligent home service for the user.
Example III
Referring to fig. 3, fig. 3 is a schematic structural diagram of another intelligent storage bed control device according to an embodiment of the present invention. As shown in fig. 3, the apparatus may include:
a memory 301 storing executable program code;
a processor 302 coupled with the memory 301;
the processor 302 invokes executable program code stored in the memory 301 to perform some or all of the steps in the intelligent storage bed control method of the first embodiment of the present invention.
Example IV
The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing part or all of the steps in the intelligent storage bed control method disclosed in the embodiment of the invention when the computer instructions are called.
Example five
The embodiment of the invention discloses an intelligent storage bed, the structure schematic diagram of which can be referred to fig. 4, wherein the intelligent storage bed comprises a control device (not shown in the figure), a bed body 1 with a storage cavity 4, a bed plate frame 2 covered on the bed body 1 and lifting mechanisms 3 symmetrically arranged on two sides of the bed plate frame 2, and the lifting mechanisms 3 push the bed plate frame 2 to move up and down. Specifically, the bed board frame 2 of the intelligent storage bed is further provided with a plurality of pressure sensing components as described in the first or second embodiment, the storage cavity 4 may be regarded as a reference of the storage space as described in the first or second embodiment, wherein one or more sensing components as described in the first or second embodiment are disposed in the storage cavity 4, specifically, a control device is electrically connected to the lifting mechanism 3, the pressure sensing components and the sensing components, and the control device is used for executing part or all of the steps in the control method of the intelligent storage bed in the first embodiment of the present invention.
The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the invention discloses an intelligent storage bed control method and device and an intelligent storage bed, which are disclosed as preferred embodiments of the invention, are only used for illustrating the technical scheme of the invention, and are not limited by the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. An intelligent storage bed control method, which is characterized by comprising the following steps:
acquiring an environmental pressure parameter, and determining environmental stress information according to the environmental pressure parameter; the environmental pressure parameter is obtained by one or more pressure detection components arranged on the bed board of the intelligent storage bed; the environment stress information is used for representing stress conditions at specific positions of the intelligent storage bed, and comprises bearing related stress information and clamp related stress information;
Acquiring storage parameters, and determining storage information according to the storage parameters; the storage parameters are obtained by one or more sensing components arranged in a storage space of the intelligent storage bed; the storage information is used for indicating the state of the articles in the storage space; determining a bed board lifting control parameter according to the environmental stress information and the storage information; the bed board lifting control parameters are used for indicating corresponding physical parameters when the bed board of the intelligent storage bed is controlled to lift;
wherein, according to the environmental stress information and the storing information, confirm bed board lift control parameter, include:
judging whether the bearing related stress information meets a preset overload stress condition or not according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the overload stress condition, determining that the current moment is the bed board lifting ending time in the bed board lifting control parameter; the overload stress condition is that the top center compression of the bed plate is larger than the first times of the top edge compression of the bed plate; judging whether the bearing related stress information meets a preset bearing ending condition according to the bearing related stress information in the environment stress information;
When the bearing related stress information is judged to meet the bearing ending condition, determining the current moment as the bed board rising starting time in the bed board lifting control parameter; the bearing end condition is that the top center of the bed board is pressed and/or the top edge is pressed to be larger than a first pressure threshold value within a first time length and smaller than a second pressure threshold value at the current moment; the first pressure threshold is greater than the second pressure threshold.
2. The intelligent storage bed control method of claim 1, wherein the ambient pressure parameter comprises one or more of a top center compression, a top edge compression, a bottom center compression, a bottom edge compression of the bed deck;
and/or the storage parameters comprise one or more of occupation area information, quantity information and volume information of the articles in the storage space;
and/or the storage information comprises the storage space occupied ratio information and/or the storage space position information of the storage space;
and/or the bed board lifting control parameters comprise one or more of bed board lifting start time, bed board lifting end time, bed board descending start time, bed board descending end time, bed board lifting height and bed board lifting speed.
3. The intelligent storage bed control method of claim 1, wherein the determining environmental stress information according to the environmental pressure parameter comprises:
determining bearing related stress information in the environmental stress information according to the top surface center compression and/or the top surface edge compression in the environmental pressure parameters; the bearing related stress information is used for indicating the stress condition of the bed board when bearing the weight;
and/or the number of the groups of groups,
determining the clamp-related stress information in the environment stress information according to the central compression of the bottom surface and/or the edge compression of the bottom surface in the environment pressure parameters; the clamp-related stress information is used for indicating the stress condition of the bed board clamped to the article when the bed board is closed.
4. The intelligent storage bed control method according to claim 1, wherein determining storage information according to the storage parameters comprises:
calculating total volume information and distribution position information of the articles in the storage space according to the storage parameters;
and determining storage information according to the total volume information and the distribution position information of the objects in the storage space and the total space information of the storage space.
5. The intelligent storage bed control method according to claim 2, wherein determining the bed board lifting control parameter according to the environmental stress information and the storage information further comprises:
judging whether the clamp-related stress information meets preset clamping conditions or not according to the clamp-related stress information in the environment stress information;
when judging that the clamp-related stress information meets the clamping conditions, determining the current moment as the bed board descending ending time in the bed board lifting control parameters; the object clamping condition is that the bottom surface edge pressure of the bed board is not zero and the bottom surface center pressure is zero.
6. The intelligent storage bed control method according to claim 1, wherein determining the bed board lifting control parameter according to the environmental stress information and the storage information comprises:
judging whether the stored object space ratio information meets a preset object taking ending condition according to the stored object space ratio information in the stored object information;
when judging that the object space occupation ratio information meets the object taking end condition, determining the current moment as the descending start time in the bed board lifting control parameter; the object taking end condition is that the occupied space ratio information of the object to be placed is reduced at the current moment and the reduction amount is higher than a preset reduction space ratio threshold;
And/or the number of the groups of groups,
judging whether the stored object space position information meets the preset object taking port full object placing condition according to the stored object space position information in the object storing information;
when the space position information of the placed object meets the sufficient object placing condition of the object taking port, determining that the lifting height of the bed plate in the bed plate lifting control parameters is lower than a preset height threshold; the object taking opening fully placing condition is that the intersection area of the placed object space position information and the object taking opening area is larger than a preset intersection area threshold value; the object taking opening area is an area in the object storage space, and a user can take objects through the object taking opening opened by the object storage space when the bed board ascends.
7. The intelligent storage bed control method of claim 6, further comprising:
acquiring a bed board lifting control instruction sent by a user;
and correcting the bed board lifting control instruction according to the bed board lifting control parameter to obtain a control command for controlling the bed board.
8. An intelligent storage bed control device, wherein the device is adapted for use with a smart card, the device comprising:
The first determining module is used for acquiring environmental pressure parameters and determining environmental stress information according to the environmental pressure parameters; the environmental pressure parameter is obtained by one or more pressure detection components arranged on the bed board of the intelligent storage bed; the environment stress information is used for representing stress conditions at specific positions of the intelligent storage bed, and comprises bearing related stress information and clamp related stress information;
the second determining module is used for acquiring storage parameters and determining storage information according to the storage parameters; the storage parameters are obtained by one or more sensing components arranged in a storage space of the intelligent storage bed; the storage information is used for indicating the state of the articles in the storage space;
the third determining module is used for determining the lifting control parameter of the bed board according to the environmental stress information and the storage information; the bed board lifting control parameters are used for indicating corresponding physical parameters when the bed board of the intelligent storage bed is controlled to lift;
the third determining module determines the specific mode of the bed board lifting control parameter according to the environmental stress information and the storage information, wherein the specific mode comprises the following steps:
Judging whether the bearing related stress information meets a preset overload stress condition or not according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the overload stress condition, determining that the current moment is the bed board lifting ending time in the bed board lifting control parameter; the overload stress condition is that the top center compression of the bed plate is larger than the first times of the top edge compression of the bed plate; judging whether the bearing related stress information meets a preset bearing ending condition according to the bearing related stress information in the environment stress information;
when the bearing related stress information is judged to meet the bearing ending condition, determining the current moment as the bed board rising starting time in the bed board lifting control parameter; the bearing end condition is that the top center of the bed board is pressed and/or the top edge is pressed to be larger than a first pressure threshold value within a first time length and smaller than a second pressure threshold value at the current moment; the first pressure threshold is greater than the second pressure threshold.
9. An intelligent storage bed control device, wherein the device is adapted for use with a smart card, the device comprising:
A memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the intelligent storage bed control method of any one of claims 1-7.
10. An intelligent storage bed, characterized in that it comprises an intelligent storage bed control device for performing the intelligent storage bed control method according to any one of claims 1-7.
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