Adaptive Height Adjustment Method for Intelligent Desk and Intelligent Desk

Abstract

The present invention discloses an adaptive height adjustment method for an intelligent desk and an intelligent desk. The core concept of the present invention lies in proposing an intelligent desk solution for adjusting the height of the desk according to user information. Specifically, after obtaining the current user information, the target user information matching the current user information is determined in the historical user information set, and then the desktop height is adjusted according to the current user information or the target user information. The adaptive height adjustment method of the intelligent desk of the present invention can automatically adjust the desktop height to a height suitable for the user by collecting the current user information, and assist in adjusting the desktop height when the user uses it again according to the past height usage records of the same user. It can automatically and quickly adjust the desktop height without the user repeatedly adjusting it by himself, and can significantly improve the user experience of the intelligent desk.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent desks, and in particular to an adaptive height adjustment method for an intelligent desk and an intelligent desk. Background Art

[0002] As a new type of desk, an intelligent desk can automatically rise and fall with the user's heartbeat, remind the user to change positions, and in addition, it can also monitor the user's body heat burning situation.

[0003] All intelligent desks are equipped with the function of automatically adjusting the desktop height. Users can adjust the desktop height according to their own height requirements, making the desktop height more suitable for the user's needs and conducive to improving the user experience. Currently, the height of the intelligent desk is manually adjusted and controlled, and can be manually controlled and adjusted through a touch screen or a direct control switch panel. This adjustment method requires the user to repeatedly adjust by himself to adjust to the height suitable for his own needs, and the adjustment process is relatively troublesome.

[0004] Therefore, there is an urgent need for an adaptive height adjustment method for an intelligent desk and an intelligent desk. Summary of the Invention

[0005] In view of this, the present invention provides an adaptive height adjustment method for an intelligent desk and an intelligent desk. Through the above form, the desktop height can be automatically and quickly adjusted without the user having to repeatedly adjust by himself, which can significantly improve the user experience of the intelligent desk.

[0006] Specifically, the technical solution adopted by the present invention is as follows:

[0007] In a first aspect, the present invention provides an adaptive height adjustment method for an intelligent desk, including:

[0008] Obtain the current user information;

[0009] Determine the target user information matching the current user information in the historical user information set;

[0010] Adjust the desktop height according to the current user information or the target user information.

[0011] In one possible implementation manner, the determining the target user information matching the current user information in the historical user information set includes:

[0012] According to the consistency relationship between the current user information and each historical user information in the historical user information set, determine whether there is historical user information consistent with the current user information in the historical user information set;

[0013] If it exists, use this historical user information as the target user information;

[0014] If not, construct a target user information set using the historical user information set according to a preset similarity criterion;

[0015] Use all the historical user information in the target user information set as the target user information.

[0016] In one possible implementation, when there is no historical user information in the historical user information that is the same as the current user information, the constructing a target user information set using the historical user information set according to a preset similarity criterion includes:

[0017] Calculate the similarity between each historical user information in the historical user information set and the current user information;

[0018] Use all the historical user information with a similarity exceeding a preset similarity threshold as the target user information set.

[0019] In one possible implementation, the adjusting the desktop height according to the current user information or the target user information includes:

[0020] Adjust the desktop height adaptively according to the current user information, or adjust the desktop height according to the desktop height parameter corresponding to the target user information.

[0021] In one possible implementation, the adjusting the desktop height adaptively according to the current user information, or adjusting the desktop height according to the desktop height parameter corresponding to the target user information includes:

[0022] If there is target user information in the historical user information set that matches the current user information, adjust the desktop height according to the desktop height parameter corresponding to the target user information;

[0023] If there is no target user information in the historical user information set that matches the current user information, adjust the desktop height adaptively according to the current user information.

[0024] In one possible implementation, when there is target user information in the historical user information set that matches the current user information, the adjusting the desktop height according to the desktop height parameter corresponding to the target user information includes:

[0025] If the target user information is the same as the current user information, use the desktop height parameter corresponding to the target user information as the desktop height parameter corresponding to the current user information;

[0026] If the target user information is inconsistent with the current user information, determine the desktop height parameter corresponding to the current user information according to the desktop height parameters corresponding to the respective target user information in the target user information set.

[0027] In one possible implementation, the adaptive height adjustment method of the intelligent desk further includes:

[0028] Adjust the desktop height according to the user's current working state and the current desktop height parameter.

[0029] In one possible implementation, the adaptive height adjustment method of the intelligent desk further includes:

[0030] Adjust the height of the chair matching the intelligent desk according to the current desktop height parameter.

[0031] In a second aspect, the present invention provides an intelligent desk, including:

[0032] An information collection module, a desktop lifting adjustment module, a historical data storage module, and a microprocessing module, wherein:

[0033] The information collection module is used to collect current user information;

[0034] The desktop lifting adjustment module is used to adjust the desktop height in response to a height adjustment instruction;

[0035] The historical data storage module is used to store current user information and historical user information, and store the desktop height parameters corresponding to the current user information and the historical user information;

[0036] The microprocessing module is used to receive the current user information collected by the information collection module, determine the target user information matching the current user information in the historical user information set stored in the historical data storage module, and send the height adjustment instruction to the desktop lifting adjustment module according to the desktop height parameter corresponding to the target user information.

[0037] In one possible implementation, the microprocessing module is further used to: adjust the desktop height according to the user's current working state and the current desktop height parameter; and / or adjust the height of the chair matching the intelligent desk according to the current desktop height parameter.

[0038] The core concept of the present invention is to propose a smart desk solution that adjusts the desk height according to user information. Specifically, after obtaining the current user information, the target user information that matches the current user information is determined in the historical user information set, and then the desktop height is adjusted according to the current user information or the target user information. The present invention automatically adjusts the desktop height to a height suitable for the user by collecting the current user information, and assists in adjusting the desktop height when the user uses it again based on the past height usage records of the same user. The desktop height can be adjusted automatically and quickly without the user having to adjust it repeatedly, which can significantly improve the user experience of the smart desk; further, when the current user has used the desk before, the desktop height is adjusted directly based on the desktop height parameters of the user's previous use of the desk. If the current user has not used the desk before, but users with similar height, sitting posture and other information to the user have used the desk, the desktop height can be adjusted based on the desktop height parameters of these similar users. If the current user has not used the desk before, , and no user with similar height, sitting posture and other information to the user has used the desk. At this time, the desktop height is adaptively adjusted according to the current user information. The present invention adjusts the desktop height in three different situations, which can not only realize automatic and quick adjustment of the desk height, but also ensure that the desktop height meets the user's needs, thereby further improving the user experience of the smart desk; further, according to the user's current working status and the current desktop height parameters, the desktop height is adjusted to meet the user's needs for the desktop height in different working states, thereby improving the user experience of the smart desk; further, according to the current desktop height parameters, the height of the chair matching the smart desk is adjusted, which is conducive to adjusting the user's sitting posture and improving the user experience of the smart desk. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described below with reference to the accompanying drawings, in which:

[0040] Figure 1 A flow chart of an embodiment of the method for adaptive height adjustment of a smart desk provided by the present invention;

[0041] Figure 2 A schematic diagram of an embodiment of the smart desk provided by the present invention. DETAILED DESCRIPTION

[0042] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

[0043] As mentioned above, currently, the height of the smart desk is controlled by manual adjustment. The disadvantage of manual adjustment is that the user needs to perceive the height suitable for himself / herself and repeatedly adjust it by himself / herself, making the adjustment work very cumbersome and greatly reducing the user experience.

[0044] Based on the analysis and exploration of the above-mentioned ineffective solutions, the present invention proposes a smart desk solution for adjusting the height of the desk according to user information. Specifically, the present invention provides at least one embodiment of the adaptive height adjustment method for the smart desk, as Figure 1 shown, which may include:

[0045] Step S1, obtain the current user information.

[0046] Wherein, the current user information includes but is not limited to user gender information, user height information, user sitting posture and user facial information. In a specific implementation, the current user information can be obtained through devices such as an AI camera, a desktop fingerprint sensor, a desktop pressure sensor and a chair surface pressure sensor, or information collection devices that may appear in the future can also be used to obtain the current user information.

[0047] Step S2, determine the target user information that matches the current user information in the historical user information set.

[0048] Wherein, the current user refers to the user who is using or about to use the desk, the historical user refers to the user who has used the desk before, and the target user refers to the user determined from the historical user information that matches the current user. In step S2, the target user information is determined by comparing the current user information with each historical user information in the historical user information set. In one implementation manner, step S2 may include the following steps:

[0049] Step S21, according to the consistency relationship between the current user information and each historical user information in the historical user information set, judge whether there is historical user information that is consistent with the current user information in the historical user information set.

[0050] Through step S21, it is possible to check in the historical user information set whether the current user has a record of having used the desk before.

[0051] Step S22, if it exists, use this historical user information as the target user information.

[0052] The consistency relationship between the current user information and each piece of historical user information in the historical user information set can be reflected, for example, by the magnitude of the similarity. If there is historical user information in the historical user information set with a similarity of 100% to the current user information, then this historical user information is selected as the target user information. A similarity of 100% can be understood as that the user gender information, user height information, user facial information, etc. in the current user information are exactly the same as a certain piece of historical user information in the historical user information set, indicating that the current user has used this desk before. At this time, the target user is one.

[0053] Step S23: If not, construct a target user information set using the historical user information set according to a preset similarity criterion.

[0054] When there is no historical user information in the historical user information that is consistent with the current user information, step S23 may include the following steps:

[0055] Step S231: Calculate the similarity between each piece of historical user information in the historical user information set and the current user information.

[0056] In a specific implementation, each piece of historical user information and the current user information can be converted into vectors, and then the similarity between the vectors is calculated to obtain the similarity between each piece of historical user information and the current user information.

[0057] Step S232: Use all historical user information with a similarity exceeding the preset similarity threshold as the target user information set.

[0058] Suppose there are a total of 20 pieces of historical user information in the historical user information set, indicating that 20 users have used this desk before. Through step S231, the similarity between each of the 20 pieces of historical user information and the current user information can be calculated respectively, and a total of 20 similarities are obtained. Among the 20 similarities, if one similarity is 100%, it means that the historical user with a similarity of 100% has the same information as the current user, and this historical user can be considered as the current user. Among the 20 similarities, if none of them is 100%, but three similarities exceed the similarity threshold (for example, 80%), then the historical user information corresponding to these three similarities can be included in the target user information set.

[0059] Step S24: Use all historical user information in the target user information set as the target user information.

[0060] Still taking the previous example for illustration, assume that there are 3 historical user information in the target user information set. Then these 3 historical user information are all target user information, and the number of target users at this time is three. In another case, among the 20 similarities, if none of the similarities is 100%, and only one similarity exceeds the similarity threshold (for example, 80%), then the historical user information corresponding to this similarity can be used as the target user information set, and the number of target users at this time is one. Therefore, in the present invention, the number of target users corresponding to the target user information can be one or multiple. When the number of target users is one, it may be the historical user with a similarity of 100% in the historical user information set, or it may be that there is only one historical user whose similarity exceeds the preset similarity threshold.

[0061] Step S3, adjust the desktop height according to the current user information or the target user information.

[0062] Specifically, adaptively adjust the desktop height according to the current user information, or adjust the desktop height according to the desktop height parameter corresponding to the target user information.

[0063] In one implementation, step S3 may include the following steps:

[0064] Step S31, if there is target user information in the historical user information set that matches the current user information, then adjust the desktop height according to the desktop height parameter corresponding to the target user information.

[0065] There are two cases where there is target user information in the historical user information set that matches the current user information. The first case is that the similarity between the target user information and the current user information is 100%. The second case is that the similarity between the target user information and the current user information does not reach 100%, but exceeds the preset similarity threshold. When there is target user information in the historical user information set that matches the current user information, step S31 may include the following steps:

[0066] Step S311, if the target user information is the same as the current user information, then use the desktop height parameter corresponding to the target user information as the desktop height parameter corresponding to the current user information.

[0067] Step S311 corresponds to the above first case. The similarity between the target user information and the current user information is 100%, indicating that the current user has used this desk before. At this time, the desktop height can be directly adjusted based on the desktop height parameter when the user used the desk before.

[0068] Step S312: If the target user information is inconsistent with the current user information, determine the desktop height parameter corresponding to the current user information according to the desktop height parameters corresponding to each piece of the target user information in the target user information set.

[0069] Step S312 corresponds to the second case above. The similarity between the target user information and the current user information does not reach 100%, but exceeds the preset similarity threshold, indicating that the current user has never used this desk, but users with similar information such as height and sitting posture of this user have used this desk. At this time, the desktop height can be adjusted according to the desktop height parameters of these similar users. In an embodiment of the present invention, the average value of all the desktop height parameters corresponding to the target user information set can be taken as the desktop height parameter corresponding to the current user information. Suppose there are 3 pieces of historical user information in the target user information set, then the average value of the desktop height parameters corresponding to these 3 pieces of historical user information in the target user information set is taken as the desktop height parameter corresponding to the current user information. In other embodiments of the present invention, the target users corresponding to the target user information set can also be sorted in descending order of similarity, and the desktop height parameter corresponding to the target user with the highest similarity is selected as the desktop height parameter corresponding to the current user information, or the average value of the desktop height parameters corresponding to the top N target users ranked by similarity is selected as the desktop height parameter corresponding to the current user information, where N is a positive integer and N is less than or equal to the number of target users in the target user information set. In other embodiments of the present invention, different weights can also be preset according to different value ranges of similarity. For example, the higher the similarity, the greater the weight of the desktop height parameter corresponding to this historical user information, and vice versa, the lower the similarity, the smaller the weight of the desktop height parameter corresponding to this historical user information, so as to obtain the desktop height parameter corresponding to the current user information.

[0070] Step S32: If there is no target user information matching the current user information in the historical user information set, adaptively adjust the desktop height according to the current user information.

[0071] In step S32, the number of target user information in the target user information set is 0, that is, the average value of all desktop height parameters corresponding to the target user information set is 0. This indicates that the current user has never used this desk, and no user with similar height, sitting posture, etc. information has used this desk either. At this time, there is no reference desktop height parameter, and it is necessary to fully rely on the currently collected user information to adaptively adjust the desktop height. In a specific implementation, a reference data table corresponding to desktop height and information such as height, sitting posture, and gender can be preset in advance, and then according to the current user information, the reference data table can be queried to obtain it. In other embodiments of the present invention, a user information - desktop height model can also be utilized in advance, and the current user information is input into the user information - desktop height model, and the corresponding desktop height parameter can be obtained.

[0072] Further, in some embodiments of the present invention, the adaptive height adjustment method of the intelligent desk further includes:

[0073] Step S4: Adjust the desktop height according to the current working state of the user and the current desktop height parameter.

[0074] In one embodiment, step S4 may include the following steps:

[0075] Step S41: Obtain the current working state of the user.

[0076] Among them, the current working state can be, for example, a sitting reading state, a sitting writing state, a standing reading state, a standing writing state, etc. The current working state of the user can be obtained through an information collection device.

[0077] Step S42: Based on the current working state, adjust the desktop height based on the current desktop height parameter.

[0078] For the specific desktop height corresponding to different working states, a working state - desktop height model can be utilized in advance, and the current user information and the current working state are input into the working state - desktop height model, and the desktop height parameter corresponding to the current user in the current working state can be obtained.

[0079] In one embodiment of the present invention, the previous working state of the current user is a sitting writing state, for example, lying on the intelligent desk to do homework. At this time, the desktop height is suitable for the height required for the user to do homework; after finishing the homework, the current user starts to stand up and practice calligraphy. At this time, the current working state of the user can be collected by the information collection device as a standing writing state. At this time, the desktop height can be increased according to the feedback current working state and combined with the height when writing on the desktop to meet the usage requirements when the user is in the working state of practicing calligraphy.

[0080] Further, in some embodiments of the present invention, the method for adaptively adjusting the height of the intelligent desk further includes:

[0081] Step S5: Adjust the height of the chair matching the intelligent desk according to the current desktop height parameter.

[0082] When the intelligent desk is equipped with an automatically adjustable chair, the height of the chair can be automatically adjusted according to the adjustment of the desktop height. In a specific implementation, a transformation reference table between the chair height and the desktop height can be preset in advance, and then according to the current desktop height parameter, the chair height can be obtained by querying the transformation reference data table.

[0083] In summary, the present invention provides a solution for an intelligent desk that adjusts the desk height according to user information. Specifically, after obtaining the current user information, the target user information matching the current user information is determined in the historical user information set, and then the desktop height is adjusted according to the current user information or the target user information. By collecting the current user information, the present invention automatically adjusts the desktop height to a height suitable for the user, and based on the past height usage records of the same user, it assists in adjusting the desktop height when the user uses it again. It can automatically and quickly adjust the desktop height without the user having to repeatedly adjust it, which can significantly improve the user experience of the intelligent desk. Further, when the current user has used this desk before, the desktop height is directly adjusted based on the desktop height parameter when the user used the desk before. When the current user has never used this desk, but a user with similar height, sitting posture, etc. has used this desk, the desktop height can be adjusted according to the desktop height parameters of these similar users. When the current user has never used this desk and no user with similar height, sitting posture, etc. has used this desk, the desktop height is adaptively adjusted according to the current user information at this time. The present invention adjusts the desktop height in three different situations, which can not only achieve automatic and quick adjustment of the desk height, but also ensure that the desktop height meets the user's needs, further improving the user experience of the intelligent desk. Further, adjusting the desktop height according to the user's current working state and the current desktop height parameter can meet the user's needs for the desktop height in different working states and improve the user experience of the intelligent desk. Further, adjusting the height of the chair matching the intelligent desk according to the current desktop height parameter is beneficial to adjusting the user's sitting posture and improving the user experience of the intelligent desk.

[0084] Corresponding to the above embodiments and preferred solutions, the present invention also provides at least one embodiment of an intelligent desk, as Figure 2 shown, may include:

[0085] An information collection module 1, a desktop lifting adjustment module 2, a historical data storage module 3, and a microprocessing module 4, where:

[0086] The information collection module 1 is used to collect current user information;

[0087] The desktop lifting adjustment module 2 is used to adjust the desktop height in response to a height adjustment instruction;

[0088] The historical data storage module 3 is used to store current user information and historical user information, and store the desktop height parameters corresponding to the current user information and the historical user information;

[0089] The microprocessing module 4 is used to receive the current user information collected by the information collection module 1, determine the target user information matching the current user information in the set of historical user information stored in the historical data storage module 3, and send the height adjustment instruction to the desktop lifting adjustment module 2 according to the desktop height parameters corresponding to the target user information.

[0090] Among them, data is transmitted between each module through a bus. The current user information collected by the information collection module 1 includes but is not limited to user gender information, user height information, user sitting posture, and user facial information. The information collection module 1 includes an AI camera, a desktop fingerprint sensor, a desktop pressure sensor, a chair surface pressure sensor, etc., and information collection devices that may appear in the future can also be used to obtain current user information.

[0091] Further, the microprocessing module 4 includes a consistency judgment unit, a first target user information determination unit, a target user information set construction unit, and a second target user information determination unit, where:

[0092] The consistency judgment unit is used to judge whether there is historical user information consistent with the current user information in the set of historical user information according to the consistency relationship between the current user information and each piece of historical user information in the set of historical user information;

[0093] The first target user information determination unit is used to use the historical user information as the target user information when there is historical user information consistent with the current user information in the set of historical user information;

[0094] The target user information set construction unit is used to construct a target user information set by using the set of historical user information according to a preset similarity standard when there is no historical user information consistent with the current user information in the set of historical user information;

[0095] The second target user information determination unit is used to use all the historical user information in the target user information set as the target user information.

[0096] Specifically, the target user information set construction unit includes a similarity calculation subunit and a target user information set determination subunit.

[0097] The similarity calculation subunit is used to calculate the similarity between each historical user information in the historical user information set and the current user information;

[0098] The target user information set determination subunit is used to take all historical user information whose similarity exceeds a preset similarity threshold as the target user information set.

[0099] Furthermore, the desktop lifting and adjusting module 2 includes an adaptive desktop lifting and adjusting unit and a reference desktop lifting and adjusting unit, wherein:

[0100] The adaptive desktop lifting and adjusting unit is used to adaptively adjust the desktop height according to the current user information;

[0101] The reference desktop lifting adjustment unit is used to adjust the desktop height according to the desktop height parameter corresponding to the target user information.

[0102] Wherein, when there is target user information matching the current user information in the historical user information set, the desktop height is adjusted according to the desktop height parameter corresponding to the target user information by the reference desktop lifting adjustment unit. When there is no target user information matching the current user information in the historical user information set, the desktop height is adaptively adjusted according to the current user information by the adaptive desktop lifting adjustment unit.

[0103] Specifically, the reference desktop lifting and adjusting unit includes a first reference desktop lifting and adjusting subunit and a second reference desktop lifting and adjusting subunit, wherein:

[0104] The first reference desktop lifting adjustment subunit is used to use the desktop height parameter corresponding to the target user information as the desktop height parameter corresponding to the current user information when the target user information is consistent with the current user information;

[0105] The second reference desktop lifting and lowering adjustment subunit is used for adjusting the desktop height parameters corresponding to each target user information in the target user information set when the target user information is inconsistent with the current user information.

[0106] Furthermore, the microprocessing module 4 is also used to: adjust the desktop height according to the user's current working status and current desktop height parameters; and / or adjust the height of a chair matching the smart desk according to the current desktop height parameters.

[0107] The microprocessor module 4 adjusts the desktop height according to the user's current working state and the current desktop height parameter.

[0108] The information collection module 1 is further configured to obtain the current working state of the user;

[0109] The microprocessing module 4 is further configured to analyze the current working state and the current desktop height parameter, and issue a height adjustment instruction based on the current desktop height parameter;

[0110] The desktop lifting adjustment module 2 is further configured to adjust the desktop height in response to the height adjustment instruction issued by the microprocessing module 4.

[0111] In summary, the present invention proposes an intelligent desk solution for adjusting the desk height according to user information. Specifically, after obtaining the current user information by using the information collection module, the microprocessing module determines the target user information matching the current user information in the historical user information set, and issues a height adjustment instruction. The desktop lifting adjustment module adjusts the desktop height in response to the height adjustment instruction. By collecting the current user information, the present invention automatically adjusts the desktop height to a height suitable for the user, and based on the past height usage records of the same user, assists in adjusting the desktop height when the user uses it again, which can automatically and quickly adjust the desktop height without the user repeatedly adjusting it by himself, and can significantly improve the user experience of the intelligent desk; further, when the current user has used the desk before, the desktop height is directly adjusted based on the desktop height parameter when the user used the desk before. When the current user has not used the desk before, but a user with similar height, sitting posture, etc. to the current user has used the desk, the desktop height can be adjusted according to the desktop height parameters of these similar users. When the current user has not used the desk before and no user with similar height, sitting posture, etc. to the current user has used the desk, the desktop height is adaptively adjusted according to the current user information at this time. The present invention adjusts the desktop height in three different situations, which can not only realize the automatic and quick adjustment of the desk height, but also ensure that the desktop height meets the user's needs, and further improve the user experience of the intelligent desk; further, according to the current working state of the user and the current desktop height parameter, the desktop height is adjusted, which can meet the user's needs for the desktop height in different working states and improve the user experience of the intelligent desk; further, according to the current desktop height parameter, the height of the chair matching the intelligent desk is adjusted, which is beneficial to adjusting the user's sitting posture and improving the user experience of the intelligent desk.

[0112] It should be understood that the above Figure 2The division of the various components of the intelligent desk shown is merely a division of logical functions. In actual implementation, they can be fully or partially integrated into a physical entity, or physically separated. And these components can all be implemented in the form of software called by a processing element; they can all be implemented in the form of hardware; or some components can be implemented in the form of software called by a processing element, and some components can be implemented in the form of hardware. For example, a certain above-mentioned module can be a separately established processing element, or can be integrated in a certain chip of an electronic device for implementation. The implementation of other components is similar. In addition, these components can be fully or partially integrated together, or can be independently implemented. In the implementation process, each step of the above method or each of the above components can be completed through the integrated logic circuit of the hardware in the processor element or instructions in the form of software.

[0113] In the embodiments of the present invention, "at least one" means one or more, and "a plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent the situation of A existing alone, A and B existing simultaneously, and B existing alone. Where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the front and back associated objects. "At least one of the following" and its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0114] Those skilled in the art can realize that the various modules, units, and method steps described in the embodiments disclosed in this specification can be implemented by a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but this implementation should not be considered to exceed the scope of the present invention.

[0115] In addition, the various embodiments in this specification are described in a progressive manner, and the same or similar parts among the various embodiments can be referred to each other. In particular, for embodiments such as devices and equipment, since they are basically similar to the method embodiments, the relevant parts can be referred to the partial descriptions of the method embodiments. The embodiments of the devices and equipment described above are only illustrative. The modules, units, etc. described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed to multiple places, such as the nodes of a system network. Specifically, some or all of the modules and units can be selected according to actual needs to achieve the purpose of the above embodiment solutions. Those skilled in the art can understand and implement without creative efforts.

[0116] The structure, features, and effects of the present invention have been described in detail based on the embodiments shown in the drawings above. However, the above are only the preferred embodiments of the present invention. It should be noted that for the technical features involved in the above embodiments and their preferred modes, those skilled in the art can reasonably combine and match them into a variety of equivalent solutions without departing from or changing the design concept and technical effects of the present invention. Therefore, the present invention is not limited by the scope shown in the drawings. Any changes made in accordance with the concept of the present invention or equivalent embodiments modified into equivalent changes that still do not exceed the spirit covered by the specification and the drawings shall be within the protection scope of the present invention.

Claims

1. An adaptive height adjustment method for an intelligent desk, characterized in that, it includes: Obtaining current user information; Determining target user information matching the current user information in the historical user information set; Adjusting the desktop height according to the current user information or the target user information, including: if the target user information is inconsistent with the current user information, sorting the target user information by similarity, and taking the average value of the desktop height parameters corresponding to the top N target users as the desktop height parameter corresponding to the current user information; or presetting different weights according to different value ranges of similarity, and obtaining the desktop height parameter corresponding to the current user information based on the weight size; wherein, the "inconsistent" means that the similarity between the target user information and the current user information does not reach 100%, but exceeds a preset similarity threshold.

2. The adaptive height adjustment method for an intelligent desk according to claim 1, characterized in that, the determining target user information matching the current user information in the historical user information set includes: Judging whether there is historical user information consistent with the current user information in the historical user information set according to the consistency relationship between the current user information and each historical user information in the historical user information set; If there is, taking this historical user information as the target user information; If not, constructing a target user information set by using the historical user information set according to a preset similarity standard; Taking all the historical user information in the target user information set as the target user information.

3. The adaptive height adjustment method for an intelligent desk according to claim 2, characterized in that, when there is no historical user information consistent with the current user information in the historical user information, the constructing a target user information set by using the historical user information set according to a preset similarity standard includes: Calculating the similarity between each historical user information in the historical user information set and the current user information; Taking all the historical user information with similarity exceeding the preset similarity threshold as the target user information set.

4. The adaptive height adjustment method for an intelligent desk according to claim 2, characterized in that, the adjusting the desktop height according to the current user information or the target user information includes: Adapting to adjust the desktop height according to the current user information, or adjusting the desktop height according to the desktop height parameter corresponding to the target user information.

5. The adaptive height adjustment method for an intelligent desk according to claim 4, characterized in that, the adapting to adjust the desktop height according to the current user information, or adjusting the desktop height according to the desktop height parameter corresponding to the target user information includes: If there is target user information matching the current user information in the historical user information set, adjusting the desktop height according to the desktop height parameter corresponding to the target user information; If there is no target user information matching the current user information in the historical user information set, adapting to adjust the desktop height according to the current user information.

6. The adaptive height adjustment method of the intelligent desk according to claim 5, wherein, when there is target user information matching the current user information in the historical user information set, adjusting the desktop height according to the desktop height parameter corresponding to the target user information includes: if the target user information is the same as the current user information, using the desktop height parameter corresponding to the target user information as the desktop height parameter corresponding to the current user information.

7. The adaptive height adjustment method of the intelligent desk according to claim 1, wherein, the adaptive height adjustment method of the intelligent desk further includes: adjusting the desktop height according to the user's current working state and the current desktop height parameter.

8. The adaptive height adjustment method of the intelligent desk according to claim 1, wherein, the adaptive height adjustment method of the intelligent desk further includes: adjusting the height of the chair matching the intelligent desk according to the current desktop height parameter.

9. An intelligent desk, wherein, it includes: an information collection module, a desktop lifting adjustment module, a historical data storage module and a microprocessing module, wherein: the information collection module is used to collect current user information; the desktop lifting adjustment module is used to adjust the desktop height in response to a height adjustment instruction; the historical data storage module is used to store current user information and historical user information, and store the desktop height parameters corresponding to the current user information and the historical user information; the microprocessing module is used to receive the current user information collected by the information collection module, determine target user information matching the current user information in the historical user information set stored in the historical data storage module, and send the height adjustment instruction to the desktop lifting adjustment module according to the desktop height parameter corresponding to the target user information, including: if the target user information is different from the current user information, sorting the target user information by similarity, and using the average value of the desktop height parameters corresponding to the top N target users as the desktop height parameter corresponding to the current user information; or presetting different weights according to different value ranges of similarity, and obtaining the desktop height parameter corresponding to the current user information based on the weight size; wherein, the difference means that: the similarity between the target user information and the current user information does not reach 100%, but exceeds a preset similarity threshold.

10. The intelligent desk according to claim 9, wherein, the microprocessing module is further used to: adjust the desktop height according to the user's current working state and the current desktop height parameter; and / or adjust the height of the chair matching the intelligent desk according to the current desktop height parameter.

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