CN116700018B - Intelligent lifting table control method and system based on human engineering - Google Patents
Intelligent lifting table control method and system based on human engineering Download PDFInfo
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Abstract
The invention provides an intelligent lifting table control method and system based on human engineering, wherein the method comprises the following steps: acquiring human body characteristics of a first user using the target intelligent lifting table; acquiring a first working mode selected by a first user; based on ergonomics, determining a first lifting operation according to the human body characteristics and the first working mode and executing the first lifting operation correspondingly; when the target intelligent lifting table finishes the first lifting operation, acquiring a fine adjustment instruction of a first user; after all the fine tuning instructions are executed by the intelligent lifting table, the intelligent lifting table is controlled; and performing lifting adjustment according to the gesture change trend of the first user. According to the intelligent lifting table control method and system based on the human engineering, the human engineering is introduced, the first lifting operation is determined according to the human body characteristics of a user and the working mode selected by the user, and on the basis, a fine tuning instruction is introduced to control the lifting table to conduct fine adjustment lifting, so that the adjustment efficiency of the lifting table is higher and the lifting table is more convenient.
Description
Technical Field
The invention relates to the technical field of ergonomics, in particular to an intelligent lifting table control method and system based on the ergonomics.
Background
Ergonomics is the science of human-centered interactions between researchers and other elements (e.g., machines, work environments, etc.). The lifting table is a table with adjustable height and is generally composed of a tabletop, a lifting mechanism and an adjusting handle or a control system. The user can adjust the height of the desktop manually or electrically according to the height and the working requirement of the user, so that the problems of physical discomfort and health caused by long-time unsuitable working posture are avoided.
The application number is: the invention patent of CN202110813129.4 discloses a lifting table, an integrated table and chair device and a group posture intervention method, wherein the lifting table is provided with a lifting upper table top, a lower table plate for bearing the weight of legs, and a treading device for treading feet is arranged on the lower table plate, so that the further requirements of users on the lifting table are met by a brand new structure; the integrated table and chair device connects the seat with the lifting table through the telescopic mechanism, and a user can realize unified coordination and regulation of the lifting table and the seat in a sitting posture state, so that the optimal regulation effect is obtained. Meanwhile, the seat can be lifted off the ground by means of the lower table plate, so that the cleaning is convenient; the group posture intervention method is to collect height information, establish accounts and the like for each individual in the group, combine ergonomics, finally realize regulation and control of the integrated desk and chair device by utilizing the collected data, and combine with on-site manual intervention, thereby helping the group to develop good posture habit.
Although the above-mentioned prior art realizes unified coordination and control of the lifting table and the seat by the user in the sitting posture state, there may be a case where the height adjustment range is too large by manually adjusting from the initial state of the lifting table to a height suitable for the user, for example: the former user of lift table is adult, and current user is child, then needs to adjust the height of very big scope, and is too loaded down with trivial details, and adjustment efficiency is lower, also inconvenient inadequately.
In view of the foregoing, there is a need for an ergonomic intelligent lift table control method and system.
Disclosure of Invention
The invention aims to provide an intelligent lifting table control method based on human engineering, which is characterized in that the human engineering is introduced, the first lifting operation is determined according to the human body characteristics of a user and the working mode selected by the user, meanwhile, a fine adjustment instruction is introduced to control the lifting table to slightly adjust and lift on the basis of the first lifting operation in consideration of individual perception difference, so that the adjustment efficiency of the lifting table is improved, and the lifting table is more convenient. And simultaneously monitoring the duration of the human body in the same posture in real time, if the duration exceeds a preset duration threshold of the same posture, sending a prompt to the user, controlling a matrix by the member, and enabling the target lifting table to perform third lifting operation adjustment according to the trend of human body posture adjustment, so that the technical effect of automatic adjustment of the target lifting table along with the real-time change of the human body is realized.
The intelligent lifting table control method based on human engineering provided by the embodiment of the invention comprises the following steps:
step 1: acquiring human body characteristics of a first user using the target intelligent lifting table;
step 2: acquiring a first working mode selected by a first user in an interactive interface corresponding to a target intelligent lifting table;
step 3: based on human engineering, determining a first lifting operation and controlling the target intelligent lifting table to execute according to human body characteristics and a first working mode;
step 4: after the target intelligent lifting table executes the corresponding first lifting operation, trying to acquire a fine tuning instruction of a first user, and after the target intelligent lifting table is controlled to execute all the fine tuning instructions, completing the control of the target intelligent lifting table;
step 5: when the first user sits in the same posture for a long time, the first user is reminded of adjusting the posture, and the target lifting table is controlled to lift and adjust according to the posture change trend of the first user;
the step 2: the method for acquiring the first working mode selected by the first user in the interactive interface corresponding to the target intelligent lifting table comprises the following steps:
acquiring an input instruction of a first user, and determining a first working mode according to the input instruction;
And/or the number of the groups of groups,
the method comprises the steps of obtaining sight line information of a first user, analyzing the sight line information, obtaining residence information of a target sight line of the first user in a display block corresponding to each pre-selected working mode in an interactive interface, and determining a first working mode in the pre-selected working modes according to the residence information;
in the step 5, when the first user is sitting in the same posture for a long time, the posture adjustment reminding is performed for the first user, and the target lifting table is controlled to perform lifting adjustment according to the posture change trend of the first user, including: acquiring gesture data of a first user in real time, and correspondingly reminding the first user according to the gesture data;
acquiring gesture data of the first user in real time, and correspondingly reminding the first user according to the gesture data, wherein the method comprises the following steps:
extracting a first gesture of a first user according to gesture data based on a behavior extraction technique;
acquiring a gesture type of the first gesture;
if the gesture type is an irregular gesture, carrying out first reminding on the first user;
if the gesture type is a standard gesture, acquiring recommended holding time corresponding to the first gesture;
acquiring the actual holding time of the first gesture in real time;
if the actual holding time is greater than or equal to the recommended holding time, carrying out second reminding on the first user;
If the actual holding time is smaller than the recommended holding time, the corresponding first user is used as a second user;
acquiring a second gesture when the second user gesture changes;
determining a posture change angle according to the first posture and the second posture;
according to the gesture change trend, a control matrix for adjusting the target intelligent lifting table to a second gesture from a first gesture in cooperation with a human body is constructed；
Set the intelligent lifting table in the first coordinate systemOXYIn the coordinate system, the posture of the human body is in the second coordinate systemO i X i Y i In the coordinate system, a first posture of the human body is set in a second coordinate systemO i X i Y i The inner coordinates are the j-1 th point；
Setting the coordinate of the second gesture in the second coordinate system as the j-th point；
Calculating a displacement vector moving from the first posture to the second posture：
；
Wherein i=1, 2, …, n;a control matrix for adjusting the intelligent lifting table from the first posture to the second posture by matching with the human body; />For the straight line distance from the j-1 th point to the j-th point in the first coordinate system,；/>to be from->And->Multiplication is multiplied up to +.>， />To be from->And->Multiplication is multiplied up to +.>；
The intelligent lifting table is matched with a control matrix for adjusting a human body from a first posture to a second postureThe calculation formula of (2) is as follows: / >；
wherein ,for adjusting the angular change rate from said first posture to the moment of the start of the second posture +.>Changing an angle for a pose within the first coordinate system that adjusts from the first pose to a second pose;
further, the relationship between the x-axis coordinates and the y-axis coordinates of each gesture in the second coordinate system is:；
wherein ,is the kth coordinate correlation conversion coefficient;
the 1 st coordinate correlation conversion coefficient is；
2 nd coordinate correlation conversionThe coefficients are；
The 3 rd coordinate conversion coefficient is；
According to the control matrix, the control target intelligent lifting table executes a third lifting operation from the second posture to the third posture.
Preferably, the step 1: acquiring human body characteristics of a first user using a target intelligent lift table, comprising:
acquiring a target image of a first user;
determining an equal-proportion human body contour according to the target image;
marking each human body part and movable joint point positions on the contour of the equal-proportion human body according to a preset marking template to obtain a marking image;
and (5) characterizing the marked image to obtain the human body characteristics.
Preferably, the step 4: after the target intelligent lifting table finishes the corresponding first lifting operation, attempting to acquire a fine tuning instruction of the first user, including:
Acquiring operation indication information of the fine adjustment device;
after the operation indication information is sent to the first user, the adjustment operation of the first user on the fine adjustment device is obtained;
and determining a fine tuning instruction according to the adjustment operation.
Preferably, the step 3: based on ergonomics, determining a first lifting operation and controlling target intelligent lifting table execution according to human body characteristics and a first working mode, comprising:
determining a target height suitable for the first user to use the target intelligent lift table based on ergonomics and according to the human body characteristics and the first mode of operation;
determining a first target control instruction of the target intelligent lifting table according to the target height;
and controlling the target intelligent lifting table to execute the first lifting operation according to the first target control instruction.
Preferably, the determining, based on ergonomics and based on the human body characteristics and the first operation mode, a target height suitable for the first user to use the target intelligent lift table includes:
acquiring a first height setting record corresponding to a first working mode based on big data;
acquiring after-sales evaluation records of a reference table corresponding to the first height setting record;
extracting first semantics of the after-sale evaluation record based on a semantic extraction technology;
Determining evaluation semantics in the first semantics and taking the evaluation semantics as second semantics;
inputting the second semantics into a semantic evaluation model to obtain a first evaluation value of the second semantics;
acquiring a preset number of first semantics before and after the second semantics extraction position, and taking the first semantics as third semantics;
judging whether the third semantic is a highly set association semantic;
if so, taking the corresponding third semantic as a fourth semantic;
acquiring a semantic interval between the second semantic and a corresponding fourth semantic;
acquiring the time length of the evaluation time and the current time of the after-sale evaluation record;
and determining a second height setting record suitable for target height extraction according to the first evaluation value, the semantic interval and the time length, and extracting the target height according to the second height setting record.
Preferably, the determining the first height setting record is suitable for the second height setting record of the target height extraction according to the first evaluation value, the semantic interval and the time length, and extracting the target height according to the second height setting record includes:
determining a first reconstruction coefficient of the first evaluation value according to the semantic interval;
giving a first reconstruction coefficient corresponding to the first evaluation value to obtain a second evaluation value;
Determining a second reforming coefficient according to the time length;
giving a second reforming coefficient corresponding to the second evaluation value, obtaining a third evaluation value, and correlating with the corresponding first height setting record;
accumulating and calculating a third evaluation value associated with the first height setting record to obtain a target evaluation value;
screening out a first height setting record with a target evaluation value larger than or equal to a preset first threshold value, and taking the first height setting record as a second height setting record;
determining a plurality of first heights corresponding to the second height setting records according to the human body characteristics;
traversing the first heights in sequence, and taking the first heights being traversed as second heights;
summing up and calculating the difference value between the second height and each first height except the second height to obtain a target sum value;
judging whether the target sum value is larger than or equal to a preset second threshold value, if so, eliminating the corresponding second height, otherwise, eliminating the second height with the highest target sum value;
and calculating the average height of the remaining first heights, and taking the average height as the target height.
The embodiment of the invention provides an intelligent lifting table control method based on human engineering, which further comprises the following steps:
before the control target intelligent lifting table in the step 3 executes the first lifting operation, attempting to acquire the height setting corresponding to the different second working modes stored by the first user, if the attempt is successful, executing the second lifting operation by the control target intelligent lifting table, otherwise, continuing to execute the first lifting operation;
The step of attempting to acquire the height setting corresponding to the second different working modes stored by the first user, and if the step of attempting to acquire the height setting is successful, controlling the target intelligent lifting table to execute a second lifting operation includes:
if the attempt is successful, the corresponding second working mode is used as a third working mode;
judging whether the first working mode is consistent with the third working mode;
if the height setting is consistent, determining the height setting corresponding to the third working mode;
generating a template based on a preset control instruction, and determining a second target control instruction according to the height setting;
and controlling the target intelligent lifting table to execute a second lifting operation according to the second target control instruction.
The intelligent lifting table control system based on human engineering provided by the embodiment of the invention comprises:
the human body characteristic acquisition subsystem is used for acquiring human body characteristics of a first user using the target intelligent lifting table;
the first working mode acquisition subsystem is used for acquiring a first working mode selected by a first user in an interactive interface corresponding to the target intelligent lifting table;
the first lifting operation execution subsystem is used for determining a first lifting operation and controlling the target intelligent lifting table to execute according to human body characteristics and a first working mode based on human engineering;
The fine tuning instruction acquisition subsystem is used for attempting to acquire a fine tuning instruction of a first user after the target intelligent lifting table executes the corresponding first lifting operation, and completing the control of the target intelligent lifting table after the target intelligent lifting table is controlled to execute all the fine tuning instructions;
and the control subsystem is used for reminding the first user of adjusting the posture when the first user is in the same posture for a long time and controlling the target lifting table to lift and adjust according to the posture change trend of the first user.
The beneficial effects of the invention are as follows:
according to the invention, the human engineering is introduced, the first lifting operation is determined according to the human body characteristics of the user and the working mode selected by the user, and meanwhile, the fine adjustment instruction is introduced to control the lifting table to lift secondarily on the basis of the first lifting operation in consideration of the individual perception difference, so that the adjustment efficiency of the lifting table is improved and the lifting table is more convenient.
According to the invention, the time length of the human body in the same posture is monitored in real time, if the time length exceeds the preset time length threshold value of the same posture, a prompt is sent out, and the matrix is controlled by the component, so that the target lifting table can perform third lifting operation adjustment according to the trend of human body posture adjustment, and the technical effect that the target lifting table automatically adjusts along with the real-time change of the human body is realized.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic diagram of an ergonomic-based intelligent lift table control method in an embodiment of the invention.
Fig. 2 is a schematic diagram of an ergonomic intelligent lift table control system in accordance with an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides an intelligent lifting table control method based on ergonomics, which is shown in fig. 1 and comprises the following steps:
Step 1: acquiring human body characteristics of a first user using the target intelligent lifting table; the first user is: the user of the target intelligent lifting table; the human body is characterized in that: a characterization representation of the first user's shape, for example: height, again for example: a small arm length;
step 2: acquiring a first working mode selected by a first user in an interactive interface corresponding to a target intelligent lifting table; the interactive interface corresponding to the intelligent lifting table is as follows: control operation input interface of the target intelligent lifting table, for example: an interface of an intelligent lifting table control platform displayed on the intelligent mobile phone; the first working mode is as follows: the first user selects the working mode of the intelligent lifting table, for example: standing work, again for example: working in a sitting state;
step 3: based on human engineering, determining a first lifting operation and controlling the target intelligent lifting table to execute according to human body characteristics and a first working mode; the ergonomics belongs to the prior art and will not be described in detail; the first lifting operation is as follows: a lifting table operation instruction for controlling the target intelligent lifting table to be lifted to a height suitable for a first user to work in a first working mode;
step 4: after the target intelligent lifting table executes the corresponding first lifting operation, trying to acquire a fine tuning instruction of a first user, and after the target intelligent lifting table is controlled to execute all the fine tuning instructions, completing the control of the target intelligent lifting table; the fine tuning instruction is: fine tuning operations of the first user on the target intelligent lifting table, for example: the desktop is controlled to be heightened by 1 cm;
Step 5: when the first user sits in the same posture for a long time, the first user is reminded of adjusting the posture, and the target lifting table is controlled to be lifted and adjusted according to the posture change trend of the first user.
The working principle and the beneficial effects of the technical scheme are as follows:
the application acquires the human body characteristics of a first user using the target intelligent lifting table and a first working mode selected by the first user, introduces an ergonomic technology, determines the first lifting operation of the target intelligent lifting table according to the human body characteristics and the first working mode, and controls the target intelligent lifting table to execute. After the intelligent lifting table control system executes the first lifting operation, the first user may also have a requirement for height adjustment due to individual perception difference, so that a fine adjustment instruction of the first user is obtained, and the target intelligent lifting table is controlled to execute the fine adjustment instruction until the control of the target intelligent lifting table is completed.
According to the application, the human engineering is introduced, the first lifting operation is determined according to the human body characteristics of the user and the working mode selected by the user, and meanwhile, the fine adjustment instruction is introduced to control the lifting table to lift secondarily on the basis of the first lifting operation in consideration of the individual perception difference, so that the adjustment efficiency of the lifting table is improved and the lifting table is more convenient.
In one embodiment, step 1: acquiring human body characteristics of a first user using a target intelligent lift table, comprising:
acquiring a target image of a first user; the target image is: when a first user shoots an image and a target image is acquired, the first user can shoot and acquire the target image through a camera device preset on the intelligent lifting table; the acquisition of the target image can adopt a programmable camera module with an image processing function: the openmv module is realized.
Determining an equal-proportion human body contour according to the target image; the contour of the human body in equal proportion is as follows: human body outline of 1:1 with the first user;
marking each human body part and movable joint point positions on the contour of the equal-proportion human body according to a preset marking template to obtain a marking image; the preset labeling template is restricted to label only the human body part and the movable joint point positions on the human body outline, and other contents are not labeled;
and (5) characterizing the marked image to obtain the human body characteristics. Image characterization belongs to the prior art and is not described in detail; the human body is characterized in that: a characterization representation of the first user's shape, for example: height, again for example: leg length.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the method, the equal-proportion human body outline of the first user is determined according to the acquired target image of the first user, the labeling template is introduced, the labeling image is determined, the labeling image is characterized, the human body characteristics are acquired, and the acquisition of the human body characteristics is more reasonable.
In one embodiment, step 2: the method for acquiring the first working mode selected by the first user in the interactive interface corresponding to the target intelligent lifting table comprises the following steps:
acquiring an input instruction of a first user, and determining a first working mode according to the input instruction; the input instruction is: the input instruction is: the method comprises the steps that a first user inputs operation in a target intelligent lifting table control system, and an input instruction is analyzed to obtain a first working mode;
and/or the number of the groups of groups,
the method comprises the steps of obtaining sight line information of a first user, analyzing the sight line information, obtaining residence information of a target sight line of the first user in a display block corresponding to each pre-selected working mode in an interactive interface, and determining a first working mode in the pre-selected working modes according to the residence information. The sight line information is: acquiring a real-time line of sight of a first user based on a line of sight tracking technology; the preselected operating mode is: all selectable working modes of the intelligent lifting table in the interactive interface; the display block is: preselect the display area of the working pattern in the interactive interface; the resident information is: the dwell time of the line of sight in the block is displayed. The tracking and collecting of the sight line information and the residence information can also be performed by adopting the openmv programmable camera mentioned above.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the method and the device for determining the first working mode, the input instruction of the first user and the sight line information of the first user are respectively introduced to determine the first working mode, so that the comprehensiveness of the first working mode is improved.
In one embodiment, step 4: after the target intelligent lifting table finishes the corresponding first lifting operation, attempting to acquire a fine tuning instruction of the first user, including:
acquiring operation indication information of the fine adjustment device; the fine tuning means are, for example: a fine tuning knob at a preset position of the target intelligent lifting table; the operation indication information is as follows: operation guide information of the fine adjustment device, for example: twisting the fine tuning knob in which direction will cause the lift table to move in which direction;
after the operation indication information is sent to the first user, the adjustment operation of the first user on the fine adjustment device is obtained; the adjustment operation is, for example: rotating the fine tuning knob clockwise, again for example: rotating the fine tuning knob counterclockwise;
and determining a fine tuning instruction according to the adjustment operation. The fine tuning instruction is: and adjusting the computer instruction corresponding to the operation.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the application, the operation indication information of the fine adjustment device is introduced, and the operation indication information is sent to the first user to guide the first user to perform fine adjustment operation, so that the fine adjustment device is more humanized.
In one embodiment, step 3: based on ergonomics, determining a first lifting operation and controlling target intelligent lifting table execution according to human body characteristics and a first working mode, comprising:
determining a target height suitable for the first user to use the target intelligent lift table based on ergonomics and according to the human body characteristics and the first mode of operation; the target heights are, for example: 74cm;
determining a first target control instruction of the target intelligent lifting table according to the target height; the first target control instruction is: computer instructions for controlling the target intelligent lifting table to reach the target height;
and controlling the target intelligent lifting table to execute the first lifting operation according to the first target control instruction. The first lifting operation is as follows: the target intelligent lifting table is adjusted to the target height.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the application, the human engineering is introduced, the target height of the target intelligent lifting table suitable for the first user is determined according to the human body characteristics and the first working mode, the determination of the target height is more reasonable, the first target control instruction corresponding to the target height is determined, and the target intelligent lifting table is controlled to execute the first lifting operation, so that the accuracy of the first lifting operation is further improved.
In one embodiment, determining a target height suitable for a first user to use the target intelligent lift table based on ergonomics and based on a first mode of operation, comprises:
acquiring a first height setting record corresponding to a first working mode based on big data; the first height setting is recorded as: the table height setting record acquired by the big data platform;
acquiring after-sales evaluation records of a reference table corresponding to the first height setting record; the reference table is a table with the corresponding set height in the first height setting record; after-market evaluations were recorded as: the evaluation records of the reference table in the commodity evaluation area of the reference table selling platform;
extracting first semantics of the after-sale evaluation record based on a semantic extraction technology; the first semantics are: after-sales evaluation records corresponding meanings;
determining evaluation semantics in the first semantics and taking the evaluation semantics as second semantics; the evaluation semantics are, for example: the height is suitable;
inputting the second semantics into a semantic evaluation model to obtain a first evaluation value of the second semantics; the semantic evaluation model is an intelligent AI model which is preset for replacing the evaluation degree of meaning characterization of manually determining the semantic according to the semantic;
acquiring a preset number of first semantics before and after the second semantics extraction position, and taking the first semantics as third semantics; the preset number is as follows: 5, can also be set up by the staff oneself;
Judging whether the third semantic is a highly set association semantic; the height setting association semantics are preset manually, for example: tall, low, short, etc.;
if so, taking the corresponding third semantic as a fourth semantic;
acquiring a semantic interval between the second semantic and a corresponding fourth semantic; the semantic interval is: the number of semantics between the second semantics and the fourth semantics;
acquiring the time length of the evaluation time and the current time of the after-sale evaluation record; the evaluation time is recorded by the selling platform; the current time is determined by a system local clock;
and determining a second height setting record suitable for target height extraction according to the first evaluation value, the semantic interval and the time length, and extracting the target height according to the second height setting record.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the method, the first height setting record is obtained through big data, the semantic extraction technology is introduced, the first semantics of the first height setting record are extracted, the second semantics in the first semantics are determined, and the second semantics are input into the introduced semantic evaluation model to obtain the first evaluation value of the second semantics, so that manual evaluation is not needed, and the method is more intelligent; the third semantics nearby the second semantics are obtained, the height setting related semantics in the third semantics are determined, the obtaining efficiency of the height setting related semantics is improved, the second height setting record suitable for target height extraction is determined according to the semantic interval between the third semantics and the height setting related semantics, the time length of the evaluation time and the current time of the after-sales evaluation record and the first evaluation value, and the target height is extracted according to the second height setting record, so that the accuracy of the target height is further improved.
In one embodiment, determining a second height setting record for which the first height setting record is suitable for target height extraction based on the first evaluation value, the semantic interval, and the time length, and extracting the target height based on the second height setting record, comprises:
determining a first reconstruction coefficient of the first evaluation value according to the semantic interval; the conversion relation between the first reforming coefficient and the semantic interval is preset by manual work, the first reforming coefficient is larger than 0 and smaller than 1, and the larger the semantic interval is, the smaller the corresponding first reforming coefficient is;
giving a first reconstruction coefficient corresponding to the first evaluation value to obtain a second evaluation value; when the first evaluation value is given, the first evaluation value is multiplied by the first reconstruction coefficient correspondingly;
determining a second reforming coefficient according to the time length; the conversion relation between the second reforming coefficient and the time length is preset by manual work, wherein the second reforming coefficient is larger than 0 and smaller than 1, and the smaller the time length is, the larger the corresponding second reforming coefficient is;
giving a second reforming coefficient corresponding to the second evaluation value, obtaining a third evaluation value, and correlating with the corresponding first height setting record; when the method is applied, the second evaluation value and the second reconstruction coefficient are correspondingly multiplied;
accumulating and calculating a third evaluation value associated with the first height setting record to obtain a target evaluation value; the target evaluation value characterizes the availability degree of the first height setting record for the extraction of the subsequent target height, and the higher the target evaluation value is, the higher the availability degree is;
Screening out a first height setting record with a target evaluation value larger than or equal to a preset first threshold value, and taking the first height setting record as a second height setting record;
determining a plurality of first heights corresponding to the second height setting records according to the human body characteristics; the first height is: according to the human body characteristics, the second height setting records the corresponding table setting height, and when the first height is determined, a height setting template is constructed according to the record characteristics of the second height setting records, the human body characteristics are input into the height setting template, and the first height corresponding to the second height setting records is obtained;
traversing the first heights in sequence, and taking the first heights being traversed as second heights;
summing up and calculating the difference value between the second height and each first height except the second height to obtain a target sum value; the target sum value represents the deviation degree of the second height and the first height except the second height, and the higher the deviation degree is, the more likely the corresponding second height is abnormal data, so that the abnormal data need to be removed;
judging whether the target sum value is larger than or equal to a preset second threshold value, if so, eliminating the corresponding second height, otherwise, eliminating the second height with the highest target sum value; the second threshold is preset manually;
And calculating the average height of the remaining first heights, and taking the average height as the target height.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the method, the first reforming coefficient is determined according to the semantic interval, the second reforming coefficient is determined according to the time length, and the target evaluation value is determined according to the first evaluation value, the first reforming coefficient and the second reforming coefficient, so that the accuracy of the target evaluation value is improved. And determining a second height setting record with the target evaluation value larger than a second threshold value, determining a plurality of first heights corresponding to the second height setting record according to the human body characteristics and the second height setting record, determining a target sum value according to the first heights, determining a first height with smaller deviation degree according to the target sum value, calculating the average value of the rest first heights to obtain an average height, and taking the average height as the target height, so that the accuracy of the target height is further improved.
The embodiment of the application provides an intelligent lifting table control method based on ergonomics, which further comprises the following steps:
before the intelligent lifting table of the control target in the step 3 executes the first lifting operation, attempting to acquire the height setting corresponding to the different second working modes stored by the first user, if the attempt to acquire the height setting is successful, the intelligent lifting table of the control target executes the second lifting operation, otherwise, continuing to execute the first lifting operation; the height is set as follows: the first user historically sets the altitude of the second mode of operation;
The step of attempting to acquire the height setting corresponding to the second different working modes stored by the first user, and if the step of attempting to acquire the height setting is successful, controlling the target intelligent lifting table to execute a second lifting operation includes:
if the attempt is successful, the corresponding second working mode is used as a third working mode; the third working mode is as follows: the first user stores a working mode with a height setting for the habit of the first user;
judging whether the first working mode is consistent with the third working mode;
if the height setting is consistent, determining the height setting corresponding to the third working mode;
generating a template based on a preset control instruction, and determining a second target control instruction according to the height setting; the control instruction generation template constraint only generates control instructions and does not generate other contents; the second target control instruction is a computer instruction corresponding to the height setting;
and controlling the target intelligent lifting table to execute a second lifting operation according to the second target control instruction.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the intelligent lifting table, before the control target intelligent lifting table executes the first lifting operation, the first user is tried to acquire the height setting of the second working mode stored by the first user, when the first working mode is consistent with the third working mode, the second working mode is used as the third working mode, and when the first working mode is consistent with the third working mode, the height setting stored by the third working mode is directly called, the system is not required to judge the proper height, the user is not required to carry out subsequent adjustment, and the intelligent lifting table is more convenient.
The embodiment of the invention provides an intelligent lifting table control method based on ergonomics, which further comprises the following steps:
in the step 5, when the first user is sitting in the same posture for a long time, the posture adjustment reminding is performed for the first user, and the target lifting table is controlled to perform lifting adjustment according to the posture change trend of the first user, including: acquiring gesture data of a first user in real time, and correspondingly reminding the first user according to the gesture data;
the method for reminding the first user in real time comprises the steps of:
extracting a first gesture of a first user according to gesture data based on a behavior extraction technique; the first posture is: the method comprises the steps that physical data of a first user when the first user uses a target intelligent lifting table;
acquiring a gesture type of the first gesture; gesture types are classified as: unnormal gestures and canonical gestures;
if the gesture type is an irregular gesture, carrying out first reminding on the first user; the first reminder is: reminding the first user to adjust the nonstandard gesture;
if the gesture type is a standard gesture, acquiring recommended holding time corresponding to the first gesture; the recommended hold time is: the first gesture recommends a duration of stay still, for example: the forward leaning sitting posture is recommended to be kept for no more than 15 minutes;
Acquiring the actual holding time of the first gesture in real time; the actual holding time is: the duration that the first user remains stationary for the first gesture, for example: for 12 minutes;
if the actual holding time is greater than or equal to the recommended holding time, carrying out second reminding on the first user; the second reminder is, for example: reminding the first user to change the first gesture;
if the actual holding time is smaller than the recommended holding time, the corresponding first user is used as a second user; the second user is: a first user who generates a gesture change during use of the target intelligent lift table;
acquiring a second gesture when the second user gesture changes; the second posture is, for example: standing and sitting;
determining a posture change angle according to the first posture and the second posture; the posture change trend is: to which direction the posture tends to be adjusted and to what extent;
according to the gesture change trend, a control matrix for adjusting the target intelligent lifting table to a second gesture from a first gesture in cooperation with a human body is constructedThe method comprises the steps of carrying out a first treatment on the surface of the When a control matrix is constructed, extracting target features (such as adjustment in which direction and adjustment degree) of the gesture change trend, and filling the target features into positions of matrix elements corresponding to the control matrix to obtain the control matrix;
Set the intelligent lifting table in the first coordinate systemOXYIn the coordinate system, the posture of the human body is in the second coordinate systemO i X i Y i In the coordinate system, a first posture of the human body is set in a second coordinate systemO i X i Y i The inner coordinates are the j-1 th point；
Setting the coordinate of the second gesture in the second coordinate system as the j-th point ；
Calculating a displacement vector moving from the first posture to the second posture：
；
Wherein i=1, 2, …, n;a control matrix for adjusting the intelligent lifting table from the first posture to the second posture by matching with the human body; />For the straight line distance from the j-1 th point to the j-th point in said first coordinate system, -, is->；/>To be from->And->Multiplication is multiplied up to +.>， />To be from->And->Multiplication is multiplied up to +.>；
The intelligent lifting table is matched with a control matrix for adjusting a human body from a first posture to a second postureThe calculation formula of (2) is as follows:
；
wherein ,for adjusting the angular change rate from said first posture to the moment of the start of the second posture +.>Changing an angle for a pose within the first coordinate system that adjusts from the first pose to a second pose;
further, the relationship between the x-axis coordinates and the y-axis coordinates of each gesture in the second coordinate system is:；
wherein ,is the kth coordinate correlation conversion coefficient;
The 1 st coordinate correlation conversion coefficient is；
The 2 nd coordinate correlation conversion coefficient is；
The 3 rd coordinate conversion coefficient is；
According to the control matrix, the control target intelligent lifting table executes a third lifting operation from the second posture to the third posture.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the gesture data, the first gesture of the first user is extracted, and the gesture type of the first gesture is obtained. When the gesture type is an irregular gesture, reminding the first user to adjust the irregular gesture; if the gesture type is a standard gesture, determining a first user with the first gesture kept still for a long time and reminding to change the gesture according to a comparison result of the actual keeping time and the recommended keeping time of the first gesture; when the actual holding time is smaller than the recommended holding time, a second gesture when the gesture of the second user is changed is obtained, a control matrix of the gesture change trend corresponding to the target intelligent lifting table is determined according to the first gesture and the second gesture, the target intelligent lifting table is controlled to execute a third lifting operation according to the control matrix, the height of the lifting table is adjusted adaptively according to the gesture change trend of the user, manual control of the user is not needed, and the intelligent lifting table is more intelligent.
The embodiment of the invention provides an intelligent lifting table control system based on ergonomics, as shown in fig. 2, comprising:
the human body characteristic acquisition subsystem 1 is used for acquiring human body characteristics of a first user using the target intelligent lifting table;
the first working mode acquisition subsystem 2 is used for acquiring a first working mode selected by a first user in an interactive interface corresponding to the target intelligent lifting table;
a first lifting operation execution subsystem 3 for determining a first lifting operation and controlling the target intelligent lifting table to execute according to human body characteristics and a first working mode based on human body engineering;
the fine tuning instruction acquisition subsystem 4 is used for attempting to acquire a fine tuning instruction of a first user after the target intelligent lifting table executes the corresponding first lifting operation, and completing the control of the target intelligent lifting table after the target intelligent lifting table is controlled to execute all the fine tuning instructions;
and the control subsystem 5 is used for reminding the first user of adjusting the posture when the first user is in the same posture for a long time and controlling the target lifting table to perform lifting adjustment according to the posture change trend of the first user.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The intelligent lifting table control method based on human engineering is characterized by comprising the following steps of:
step 1: acquiring human body characteristics of a first user using the target intelligent lifting table;
step 2: acquiring a first working mode selected by a first user in an interactive interface corresponding to a target intelligent lifting table;
step 3: based on human engineering, determining a first lifting operation and controlling the target intelligent lifting table to execute according to human body characteristics and a first working mode;
step 4: after the target intelligent lifting table executes the corresponding first lifting operation, trying to acquire a fine tuning instruction of a first user, and after the target intelligent lifting table is controlled to execute all the fine tuning instructions, completing the control of the target intelligent lifting table;
step 5: when the first user sits in the same posture for a long time, the first user is reminded of adjusting the posture, and the target lifting table is controlled to lift and adjust according to the posture change trend of the first user;
the step 2: the method for acquiring the first working mode selected by the first user in the interactive interface corresponding to the target intelligent lifting table comprises the following steps:
acquiring an input instruction of a first user, and determining a first working mode according to the input instruction;
And/or the number of the groups of groups,
the method comprises the steps of obtaining sight line information of a first user, analyzing the sight line information, obtaining residence information of a target sight line of the first user in a display block corresponding to each pre-selected working mode in an interactive interface, and determining a first working mode in the pre-selected working modes according to the residence information;
in the step 5, when the first user is sitting in the same posture for a long time, the posture adjustment reminding is performed for the first user, and the target lifting table is controlled to perform lifting adjustment according to the posture change trend of the first user, including: acquiring gesture data of a first user in real time, and correspondingly reminding the first user according to the gesture data;
acquiring gesture data of the first user in real time, and correspondingly reminding the first user according to the gesture data, wherein the method comprises the following steps:
extracting a first gesture of a first user according to gesture data based on a behavior extraction technique;
acquiring a gesture type of the first gesture;
if the gesture type is an irregular gesture, carrying out first reminding on the first user;
if the gesture type is a standard gesture, acquiring recommended holding time corresponding to the first gesture;
acquiring the actual holding time of the first gesture in real time;
if the actual holding time is greater than or equal to the recommended holding time, carrying out second reminding on the first user;
If the actual holding time is smaller than the recommended holding time, the corresponding first user is used as a second user;
acquiring a second gesture when the second user gesture changes;
determining a posture change angle according to the first posture and the second posture;
according to the gesture change trend, a control matrix for adjusting the target intelligent lifting table to a second gesture from a first gesture in cooperation with a human body is constructed
The intelligent lifting table is arranged in a first coordinate system OXY coordinate system, and the posture of the human body is arranged in a second coordinate system O i X i Y i In the coordinate system, a first posture of the human body is set in a second coordinate system O i X i Y i The coordinates in the two are j-1 th point (x i,j-1 ，y i,j-1 (x i,j-1 ，t))；
Let the coordinates of the second gesture in the second coordinate system be the j-th point (x i,j ,y i,j (x i,j ,t))；
Calculating a displacement vector moving from the first posture to the second posture
Wherein i=1, 2, …, n;a control matrix for adjusting the intelligent lifting table from the first posture to the second posture by matching with the human body; l (L) i For the straight line distance from the j-1 th point to the j-th point in the first coordinate system, to be from->And->Multiplication is multiplied up to +.> To be from->And->Multiplication is multiplied up to +.>
The intelligent lifting table is matched with a human body from a first postureControl matrix for adjusting potential to second postureThe calculation formula of (2) is as follows:
wherein ,for adjusting the angular change rate from the first posture to the second posture at the beginning moment, alpha i Changing an angle for a pose within the first coordinate system that adjusts from the first pose to a second pose;
further, the relationship between the x-axis coordinates and the y-axis coordinates of each gesture in the second coordinate system is:
wherein ,θk (x i,j-1 ) Is the kth coordinate correlation conversion coefficient;
the 1 st coordinate correlation conversion coefficient is
The 2 nd coordinate correlation conversion coefficient is
The 3 rd coordinate conversion coefficient is
According to the control matrix, the control target intelligent lifting table executes a third lifting operation from the second posture to the third posture.
2. The ergonomic intelligent lift table control method of claim 1 wherein step 1: acquiring human body characteristics of a first user using a target intelligent lift table, comprising:
acquiring a target image of a first user;
determining an equal-proportion human body contour according to the target image;
marking each human body part and movable joint point positions on the contour of the equal-proportion human body according to a preset marking template to obtain a marking image;
and (5) characterizing the marked image to obtain the human body characteristics.
3. The ergonomic intelligent lift table control method of claim 1 wherein step 4: after the target intelligent lifting table finishes the corresponding first lifting operation, attempting to acquire a fine tuning instruction of the first user, including:
Acquiring operation indication information of the fine adjustment device;
after the operation indication information is sent to the first user, the adjustment operation of the first user on the fine adjustment device is obtained;
and determining a fine tuning instruction according to the adjustment operation.
4. The ergonomic intelligent lift table control method of claim 1 wherein step 3: based on ergonomics, determining a first lifting operation and controlling target intelligent lifting table execution according to human body characteristics and a first working mode, comprising:
determining a target height suitable for the first user to use the target intelligent lift table based on ergonomics and according to the human body characteristics and the first mode of operation;
determining a first target control instruction of the target intelligent lifting table according to the target height;
and controlling the target intelligent lifting table to execute the first lifting operation according to the first target control instruction.
5. The ergonomic intelligent lift table control method of claim 4 wherein the ergonomically-based determining a target height for the first user for use of the target intelligent lift table based on the human features and the first mode of operation comprises:
acquiring a first height setting record corresponding to a first working mode based on big data;
Acquiring after-sales evaluation records of a reference table corresponding to the first height setting record;
extracting first semantics of the after-sale evaluation record based on a semantic extraction technology;
determining evaluation semantics in the first semantics and taking the evaluation semantics as second semantics;
inputting the second semantics into a semantic evaluation model to obtain a first evaluation value of the second semantics;
acquiring a preset number of first semantics before and after the second semantics extraction position, and taking the first semantics as third semantics;
judging whether the third semantic is a highly set association semantic;
if so, taking the corresponding third semantic as a fourth semantic;
acquiring a semantic interval between the second semantic and a corresponding fourth semantic;
acquiring the time length of the evaluation time and the current time of the after-sale evaluation record;
and determining a second height setting record suitable for target height extraction according to the first evaluation value, the semantic interval and the time length, and extracting the target height according to the second height setting record.
6. The ergonomic intelligent lift table control of claim 5 wherein determining a first height setting record based on the first evaluation value, the semantic interval, and the length of time, the second height setting record suitable for target height extraction, and extracting the target height based on the second height setting record, comprises:
Determining a first reconstruction coefficient of the first evaluation value according to the semantic interval;
giving a first reconstruction coefficient corresponding to the first evaluation value to obtain a second evaluation value;
determining a second reforming coefficient according to the time length;
giving a second reforming coefficient corresponding to the second evaluation value, obtaining a third evaluation value, and correlating with the corresponding first height setting record;
accumulating and calculating a third evaluation value associated with the first height setting record to obtain a target evaluation value;
screening out a first height setting record with a target evaluation value larger than or equal to a preset first threshold value, and taking the first height setting record as a second height setting record;
determining a plurality of first heights corresponding to the second height setting records according to the human body characteristics;
traversing the first heights in sequence, and taking the first heights being traversed as second heights;
summing up and calculating the difference value between the second height and each first height except the second height to obtain a target sum value;
judging whether the target sum value is larger than or equal to a preset second threshold value, if so, eliminating the corresponding second height, otherwise, eliminating the second height with the highest target sum value;
and calculating the average height of the remaining first heights, and taking the average height as the target height.
7. The ergonomic intelligent lift table control method of claim 1 wherein the method further comprises:
before the control target intelligent lifting table in the step 3 executes the first lifting operation, attempting to acquire the height setting corresponding to the different second working modes stored by the first user, if the attempt is successful, executing the second lifting operation by the control target intelligent lifting table, otherwise, continuing to execute the first lifting operation;
the step of attempting to acquire the height setting corresponding to the second different working modes stored by the first user, and if the step of attempting to acquire the height setting is successful, controlling the target intelligent lifting table to execute a second lifting operation includes:
if the attempt is successful, the corresponding second working mode is used as a third working mode;
judging whether the first working mode is consistent with the third working mode;
if the height setting is consistent, determining the height setting corresponding to the third working mode;
generating a template based on a preset control instruction, and determining a second target control instruction according to the height setting;
and controlling the target intelligent lifting table to execute a second lifting operation according to the second target control instruction.
8. An ergonomic intelligent lift table control system employing the method of any of claims 1-7, comprising:
The human body characteristic acquisition subsystem is used for acquiring human body characteristics of a first user using the target intelligent lifting table;
the first working mode acquisition subsystem is used for acquiring a first working mode selected by a first user in an interactive interface corresponding to the target intelligent lifting table;
the first lifting operation execution subsystem is used for determining a first lifting operation and controlling the target intelligent lifting table to execute according to human body characteristics and a first working mode based on human engineering;
the fine tuning instruction acquisition subsystem is used for attempting to acquire a fine tuning instruction of a first user after the target intelligent lifting table executes the corresponding first lifting operation, and completing the control of the target intelligent lifting table after the target intelligent lifting table is controlled to execute all the fine tuning instructions;
and the control subsystem is used for reminding the first user of adjusting the posture when the first user is in the same posture for a long time and controlling the target lifting table to lift and adjust according to the posture change trend of the first user.
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