Spatial physical value assessment method, device and equipment and storage medium

By acquiring and analyzing the motion data of the space to be evaluated, drawing motion intensity mapping trajectories, and estimating physical fitness value in combination with space design factors, the problem of inaccurate assessment results in the existing technology is solved, and a more efficient evaluation and improvement of spatial physical fitness value is achieved. .

CN119339955AActive Publication Date: 2025-01-21SHENZHEN UNIV
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Patent Information

Application Number
CN202411884380.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2025-01-21
Estimated Expiration
2044-12-20

AI Technical Summary

Technical Problem

In the prior art, the accuracy and reliability of the physical energy promotion performance evaluation results of the space to be evaluated are not high, which is not conducive to effectively improving the physical energy promotion performance of the space.

Method used

By obtaining motion data from multiple spaces to be evaluated, the user's motion intensity and position at different locations are determined, the motion intensity mapping trajectory is drawn, and the physical value of the space is estimated by combining space design factors (functional factors and space attribute factors).

Benefits of technology

It improves the accuracy and reliability of the physical fitness value assessment of the space to be evaluated, and helps improve the physical fitness promotion performance of the space.

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Abstract

The invention relates to the field of space optimization design, in particular to a physical value assessment method, device and equipment of a space and a storage medium. The method comprises the following steps: acquiring motion data of a plurality of to-be-evaluated spaces, wherein the motion data of a single to-be-evaluated space comprises motion positions of a plurality of users in the to-be-evaluated space and motion intensities at different positions; according to the position and the exercise intensity, respectively determining an exercise intensity mapping track of each user in the to-be-evaluated space; determining a space design factor of the to-be-evaluated space; and according to the motion intensity mapping track of the to-be-evaluated space and the space design factor, estimating the physical fitness value corresponding to the space design factor. Compared with an empirical estimation mode, the physical fitness value is evaluated by determining the relationship between the exercise intensity and the spatial design factor based on the exercise data, so that the estimation accuracy of the physical fitness value of the to-be-evaluated space can be effectively improved, and the physical fitness promotion performance of the to-be-evaluated space can be improved.
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Description

Technical Field

[0001] The present application relates to the field of space optimization design, and in particular to a method, device, equipment and storage medium for evaluating the physical value of a space. Background Art

[0002] Physical activity can not only enhance cardiopulmonary function, improve muscle strength and endurance, but also improve mental health and sleep quality. Therefore, improving physical fitness and promoting health through physical activity is a very effective way.

[0003] After entering the 21st century, with the gradual deepening of modern medical research, more and more evidence shows that a properly arranged space is an important place to enhance physical activity and promote physical fitness. However, traditional space design is usually supported by regulations, standards and the inherent cognitive system of architects. The accuracy and reliability of the evaluation results of the physical fitness promotion performance of the space are not high, which is not conducive to effectively improving the physical fitness promotion performance of the space. Summary of the invention

[0004] In view of this, an embodiment of the present application provides a method, device, equipment and storage medium for evaluating the physical fitness value of a space, so as to solve the problem that the evaluation results of the physical fitness promotion performance of the space to be evaluated in the prior art are not accurate and reliable, which is not conducive to effectively improving the physical fitness promotion performance of the space to be evaluated.

[0005] A first aspect of an embodiment of the present application provides a method for evaluating the physical value of a space, the method comprising: Acquire motion data of multiple spaces to be evaluated, wherein the motion data of a single space to be evaluated includes positions of multiple users' motions in the space to be evaluated and motion intensities at different positions; According to the above positions and the above motion intensities, respectively determine the motion intensity mapping trajectory of each user in the above space to be evaluated; Determine the spatial design factors of the above-mentioned space to be evaluated; According to the motion intensity mapping trajectory of the space to be evaluated and the space design factors, the physical fitness value corresponding to the space design factors is estimated.

[0006] In combination with the first aspect, in a first possible implementation manner of the first aspect, the above-mentioned space design factor includes a functional factor and a space attribute factor; Determine the spatial design factors of the above-mentioned space to be evaluated, including: Acquire functional information of different positions of the space to be evaluated, and determine the functional factors in the space design factors of the space to be evaluated according to the functional information; The spatial attributes of different positions of the space to be evaluated are obtained, and the spatial attribute factors in the spatial design factors of the space to be evaluated are determined according to the spatial attributes.

[0007] In combination with the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, estimating the physical fitness value corresponding to the space design factor according to the motion intensity mapping trajectory of the space to be evaluated and the space design factor includes: Determine the spatial region with the same functional factor in each of the above-mentioned spaces to be evaluated; Determine a spatial design factor data set corresponding to each of the spatial regions, wherein the spatial design factor data set includes more than two spatial design factor vectors; Determine the physical energy consumption value corresponding to the above space design factor vector; According to the corresponding relationship between the above-mentioned physical energy consumption value and the space design factor vector, the physical energy value of the above-mentioned space design factor is estimated.

[0008] In combination with the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, determining the physical energy consumption value corresponding to the spatial design factor vector includes: Determine the movement duration of different users at different positions in the above-mentioned space to be evaluated, and the movement intensity at the above-mentioned different positions according to the above-mentioned movement data; Determine the exercise area corresponding to the spatial design factor vector, and determine the exercise duration and exercise intensity of the user in the exercise area; The physical energy consumption value corresponding to the above-mentioned space design factor vector is determined according to the above-mentioned exercise duration and the above-mentioned exercise intensity.

[0009] In combination with the first aspect, in a fourth possible implementation manner of the first aspect, obtaining motion data of the user in the space to be evaluated includes: Acquire the position of the user in the space to be evaluated at different times according to the position sensor, and generate the motion trajectory according to the position of the user in the space to be evaluated at different times; The moving speed of the user in the space to be evaluated is obtained according to a motion sensor, and the motion intensity of the user at different positions is determined according to a preset corresponding relationship between the moving speed and the motion intensity.

[0010] In combination with any one of the first aspect to the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, after acquiring motion data of multiple spaces to be evaluated, the method further includes at least one of the following: Generating a user position distribution heat map of the space to be evaluated according to the positions of multiple users moving in the space to be evaluated; Generate a user trajectory map of the space to be evaluated according to the movement positions of the multiple users in the space to be evaluated; A heat map of the exercise intensity of the space to be evaluated is generated according to the exercise intensity of the multiple users in the space to be evaluated.

[0011] In combination with any one of the first aspect to the fourth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, after determining the space design factor of the space to be evaluated, the method further includes: According to the motion intensity mapping trajectory of the space to be evaluated and the space design factors, the physical fitness value of the combination of space design factors is estimated.

[0012] In combination with any one of the first aspect to the fourth possible implementation manner of the first aspect, in a seventh possible implementation manner of the first aspect, after respectively determining the motion intensity mapping trajectory of each user in the space to be evaluated, the method further includes: Segmenting the motion intensity mapping trajectory according to the user's stay time to obtain more than two trajectory segments; Obtaining the occupation of the user, and determining a career activity trajectory according to the occupation of the user; The track segments are screened by using the occupational activity track to obtain a screened valid activity track; According to the motion intensity mapping trajectory of the space to be evaluated and the space design factor, estimating the physical fitness value corresponding to the space design factor includes: According to the effective activity trajectory of the space to be evaluated and the space design factor, the physical fitness value corresponding to the space design factor is estimated.

[0013] A second aspect of an embodiment of the present application provides a device for evaluating the physical fitness value of a space, the device comprising: A motion data acquisition unit, used to acquire motion data of multiple spaces to be evaluated, wherein the motion data of a single space to be evaluated includes positions of multiple users' motions in the space to be evaluated and motion intensities at different positions; A trajectory determination unit, used to determine the motion intensity mapping trajectory of each user in the space to be evaluated according to the position and the motion intensity; A space design factor determination unit, used to determine the space design factor of the above-mentioned space to be evaluated; The physical fitness value estimation unit is used to estimate the physical fitness value corresponding to the above-mentioned space design factor according to the motion intensity mapping trajectory of the above-mentioned space to be evaluated and the above-mentioned space design factor.

[0014] In conjunction with the second aspect, in a first possible implementation manner of the second aspect, the above-mentioned space design factor includes a functional factor and a space attribute factor; The above-mentioned space design factor determination unit includes: A functional factor determination subunit is used to obtain functional information of different positions of the above-mentioned space to be evaluated, and determine the functional factors in the space design factors of the above-mentioned space to be evaluated according to the above-mentioned functional information; The spatial attribute factor determination subunit is used to obtain the spatial attributes of different positions of the above-mentioned space to be evaluated, and determine the spatial attribute factors in the spatial design factors of the above-mentioned space to be evaluated according to the above-mentioned spatial attributes.

[0015] In combination with the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the physical energy value estimation unit includes: A spatial region determination subunit, used to determine a spatial region having the same functional factor in each of the above-mentioned spaces to be evaluated; A data set determination subunit, used to determine a spatial design factor data set corresponding to each of the above-mentioned spatial regions, wherein the above-mentioned spatial design factor data set includes more than two spatial design factor vectors; A physical energy consumption value determination subunit, used to determine the physical energy consumption value corresponding to the above-mentioned space design factor vector; The physical energy value estimation subunit is used to estimate the physical energy value of the above-mentioned space design factor according to the corresponding relationship between the above-mentioned physical energy consumption value and the space design factor vector.

[0016] In combination with the second possible implementation manner of the second aspect, in a third possible implementation manner of the second aspect, the physical energy consumption value determining subunit includes: A first data determination module is used to determine the movement duration of different users at different positions of the above-mentioned space to be evaluated, and the movement intensity at the above-mentioned different positions according to the above-mentioned movement data; A second data determination module is used to determine the exercise area corresponding to the spatial design factor vector, and determine the exercise duration and exercise intensity of the user in the exercise area; The physical energy consumption value determination module is used to determine the physical energy consumption value corresponding to the above-mentioned spatial design factor vector according to the above-mentioned exercise duration and the above-mentioned exercise intensity.

[0017] In combination with the second aspect, in a fourth possible implementation manner of the second aspect, the motion data acquisition unit includes: A motion trajectory generating subunit, configured to obtain the position of the user in the space to be evaluated at different times according to a position sensor, and generate a motion trajectory according to the position of the user in the space to be evaluated at different times; The motion intensity determination subunit is used to obtain the moving speed of the user in the space to be evaluated according to the motion sensor, and determine the motion intensity of the user at different positions according to the preset corresponding relationship between the moving speed and the motion intensity.

[0018] In combination with any one of the second aspect to the fourth possible implementation manner of the second aspect, in a fifth possible implementation manner of the second aspect, the device further includes a display unit, configured to implement at least one of the following: Generating a user position distribution heat map of the space to be evaluated according to the positions of multiple users moving in the space to be evaluated; Generate a user trajectory map of the space to be evaluated according to the movement positions of the multiple users in the space to be evaluated; A heat map of the exercise intensity of the space to be evaluated is generated according to the exercise intensity of the multiple users in the space to be evaluated.

[0019] In combination with any one of the second aspect to the fourth possible implementation manner of the second aspect, in the sixth possible implementation manner of the second aspect, it also includes a physical fitness value estimation unit for the spatial design factor combination, which is used to estimate the physical fitness value of the spatial design factor combination based on the motion intensity mapping trajectory of the above-mentioned space to be evaluated and the above-mentioned spatial design factors.

[0020] The third aspect of an embodiment of the present application provides a physical fitness value assessment device for a space, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the methods of the first aspect when executing the computer program.

[0021] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above methods in the first aspect are implemented.

[0022] Compared with the prior art, the embodiments of the present application have the following beneficial effects: the embodiments of the present application obtain motion data of multiple spaces to be evaluated, determine the motion intensity mapping trajectory according to the position and intensity of the motion, determine the spatial design factor of the space to be evaluated, and estimate the experience value of the spatial mapping factor based on the spatial design factor and the motion intensity mapping trajectory. Compared with the method of empirical estimation, this method evaluates the physical fitness value based on the relationship between the motion intensity and the spatial design factor determined based on the motion data, which can effectively improve the estimation accuracy of the physical fitness value of the space to be evaluated, and is beneficial to improving the physical fitness promotion performance of the space to be evaluated. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0024] Figure 1 It is a schematic diagram of an implementation scenario of a method for evaluating the physical fitness value of a space provided in an embodiment of the present application; Figure 2 It is a schematic diagram of the implementation flow of a method for evaluating the physical fitness value of a space provided in an embodiment of the present application; Figure 3 It is a schematic diagram of an implementation flow of a method for estimating physical energy value provided in an embodiment of the present application; Figure 4 It is a schematic diagram of an implementation flow of a method for determining a physical energy consumption value provided in an embodiment of the present application; Figure 5 is a schematic diagram of a spatial physical fitness value assessment device provided in an embodiment of the present application; Figure 6 It is a schematic diagram of a spatial physical fitness value assessment device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0026] In order to illustrate the above technical solution of the present application, a specific embodiment is provided below for illustration.

[0027] Physical activity can not only enhance cardiopulmonary function, improve muscle strength and endurance, but also improve mental health and sleep quality. Therefore, improving physical fitness and promoting health through physical activity is a very effective way.

[0028] After entering the 21st century, with the gradual deepening of modern medical research, more and more evidence shows that a properly arranged space is an important place to enhance physical activity and promote physical fitness. However, traditional space design is usually supported by regulations, standards and the inherent cognitive system of architects. The accuracy and reliability of the evaluation results of the physical fitness promotion performance of the space are not high, which is not conducive to effectively improving the physical fitness promotion performance of the space.

[0029] Based on this, the present application embodiment proposes a method for evaluating the physical value of a space, such as Figure 1The figure shows a schematic diagram of an implementation scenario of a method for evaluating the physical fitness value of a space provided in an embodiment of the present application, and the implementation scenario includes a physical fitness value evaluation device and a sensing device for the space. Among them, the sensing device may include multiple devices, and the multiple sensing devices may be worn by multiple users respectively to collect motion data of users in multiple spaces to be evaluated during their study, work or life. The sensing device includes, for example, a position sensor and a speed sensor. The physical fitness value evaluation device for the space is used to receive the motion data collected by the sensing device, determine the motion intensity mapping trajectory of the user in the space to be evaluated based on the motion data, and calculate the physical fitness value of the space design factor of the space to be evaluated based on the motion intensity mapping trajectory.

[0030] Figure 2 A method provided in an embodiment of the present application includes: In S201 , motion data of a plurality of spaces to be evaluated are obtained, where the motion data of a single space to be evaluated includes positions of motion of a plurality of users in the space to be evaluated and motion intensities at different positions.

[0031] The space to be evaluated may include at least one of campus space, industrial park space, shopping mall space, and sports center space. The campus space may include activity spaces for primary and secondary school students in their school life. For example, the campus space may include corridor space, staircase space, playground space, court space, green space, square space, sports space, etc. The space to be evaluated in the campus where the motion data needs to be obtained may be determined based on the area for students to use for activities in the campus.

[0032] The motion data in the embodiment of the present application can be obtained with the assistance of users for value assessment. For example, when the space to be assessed is a campus space, the motion data can be obtained with the assistance of students who live and study in the school.

[0033] The motion data in the embodiment of the present application may include a motion trajectory determined based on the position of the user in the space to be evaluated, and a motion intensity determined based on the moving speed of the user in the space to be evaluated.

[0034] The user's position in the space to be evaluated can be acquired by a position sensor to obtain the user's position at different times. In order to accurately obtain the user's position in the space to be evaluated, the indoor positioning technology can be combined to determine the user's accurate position on different floors of the space to be evaluated. For example, the user's position on different floors of a building can be determined by a Bluetooth base station positioning system.

[0035] In order to more accurately estimate the physical fitness values ​​corresponding to different spatial design factors, when acquiring the motion data of the space to be evaluated, the embodiment of the present application can collect a large amount of motion data of the space to be evaluated, and the space to be evaluated for collecting the motion data can have different spatial design factors. The spatial design factor can include a functional factor and a spatial attribute factor.

[0036] For example, the functional factors of the spatial design factors are different, which may include different types of spatial area equipment in the spatial design factors, including spatial area equipment with different functions in the spatial areas of the space to be evaluated. The spatial attribute factors of the spatial design factors are different, including spatial areas such as corridors or square spaces have different design size parameters, or the positional relationships between spaces are different, including parameters such as the relative orientation and distance between different spaces.

[0037] In the embodiment of the present application, the positions of the user in the space to be evaluated at different times can determine the motion trajectory of the user in the space to be evaluated according to the order relationship. The position of the user in the space to be evaluated can be obtained at a predetermined time interval, and each position can be connected in sequence according to the order relationship of the obtained positions to obtain the motion trajectory of the user in the space to be evaluated.

[0038] In the embodiment of the present application, the user's moving speed in the space to be evaluated can be obtained through a motion sensor, and the user's movement intensity at different positions can be determined based on the corresponding relationship between the moving speed and the movement intensity. For example, the motion sensor can include an acceleration sensor such as a gyroscope, which is used to detect the acceleration of the user and determine the size of the user's moving speed based on the acceleration.

[0039] Physical activities used to detect exercise intensity can be divided into light physical activities, moderate physical activities, and vigorous physical activities according to exercise intensity. Light physical activities can include activities such as slow walking and gateball. Moderate physical activities can include activities such as moderate speed (for example, the speed range can be 70-90 meters / minute), and vigorous physical activities can include activities such as running and basketball. The user's exercise intensity can be determined based on the exercise metabolism. For example, assuming that an adult with a weight of 70 kg consumes 3.5 ml of oxygen per kilogram of body weight per minute in a resting state (for example, sitting quietly in a chair), this basal metabolic rate can be set as 1 exercise metabolism (METS). Physical activities with an exercise intensity of <3.0 METs can be set as light physical activities, physical activities with an exercise intensity of 3.0–6.0 METs as moderate physical activities, and exercise intensity >6.0 METs as vigorous physical activities. In other words, the user's exercise intensity can be represented by the exercise metabolism, and the user's exercise intensity corresponding to different moving speeds can be calculated based on the user's actual information.

[0040] In a possible implementation, the motion sensor can also detect the user's exercise type, and more accurately determine the user's exercise intensity based on the exercise type combined with heart rate, physical activity and other information.

[0041] In S202, the motion intensity mapping trajectory of each user in the space to be evaluated is determined according to the position and the motion intensity.

[0042] In the embodiment of the present application, in a single space to be evaluated, motion data of multiple users can be obtained, for example, motion data of multiple users can be obtained through positioning sensors and motion sensors. The more users whose motion data are obtained and the longer the collection time, the higher the reliability of the motion data.

[0043] In the embodiment of the present application, in order to improve the accuracy of the evaluation of the physical fitness value of different space design factors, the space to be evaluated for collecting exercise data may include multiple spaces to be evaluated. The more spaces to be evaluated, the higher the reliability of the evaluation result.

[0044] When determining the motion intensity mapping trajectory according to the position and motion intensity, the correspondence between different motion intensities and display styles can be pre-set. For example, different colors can be used to represent different motion intensities. The higher the motion intensity, the deeper the color, and the lower the motion intensity, the lower the color depth. Alternatively, different motion intensities can be represented by the thickness of the trajectory lines. For example, the thicker the lines of the trajectory, the higher the motion intensity, and the thinner the lines, the lower the motion intensity. By displaying different styles in the motion intensity mapping trajectory, different motion intensities can be intuitively displayed, and the motion intensity at any position can be quickly determined through the motion intensity mapping trajectory, which is convenient for intuitive analysis and calculation of spatial design factors.

[0045] In S203, the space design factor of the space to be evaluated is determined.

[0046] The spatial design factors in the embodiments of the present application may include functional factors and spatial attribute factors. Among them, the functional factor is a factor determined by the functional information of a certain spatial area of ​​the space to be evaluated. For example, the functional factor can be determined as a corridor factor, a green space factor, a square factor, a basketball court factor, a playground factor, a sports field factor, etc. according to the functional information of the spatial area. After obtaining the design drawings of the space to be evaluated, the spatial areas included in the space to be evaluated and the functional information of each spatial area can be determined through the design drawings, so as to determine the functional factors corresponding to different spatial areas accordingly. Alternatively, a three-dimensional map of the space to be evaluated can be obtained by a map acquisition device such as an unmanned aerial vehicle, and the functional information of each spatial area can be determined according to the feature information in the three-dimensional map, so as to determine the functional factors corresponding to the spatial area. Alternatively, after obtaining a three-dimensional map of the space to be evaluated by a map acquisition device such as an unmanned aerial vehicle, the calibration information of the relevant personnel can be received to determine the functional information of the spatial area in the three-dimensional map, so as to determine the functional factors corresponding to each spatial area.

[0047] The spatial attribute factors may include the design dimension parameters of a certain spatial area, spatial area equipment and other information. For example, the design dimension parameters of the spatial area may include the width of the corridor, the degree of openness of the corridor, the area of ​​the corridor and other design dimension parameters. Among them, the degree of openness of the corridor can be quantitatively determined based on the light and shade degree of the corridor, the degree of ventilation and other parameters.

[0048] Different spatial area equipment may be provided in different spatial areas. For example, the spatial area equipment provided in the playground may include equipment such as slides, swings, climbing frames, horizontal bars, parallel bars, etc.

[0049] For a spatial area device, the location of the spatial area device and the influence range of the spatial area device can be predetermined. When a user is located in the influence range, it means that the user is engaged in a sport related to the spatial area device. The physical fitness value corresponding to the spatial design factor can be determined based on the influence range of the spatial area device, or the user engaged in the activity type corresponding to the spatial area device can be determined to determine the physical fitness value corresponding to the spatial area device.

[0050] In S204, the physical fitness value corresponding to the space design factor is estimated according to the motion intensity mapping trajectory of the space to be evaluated and the space design factor.

[0051] After determining the motion intensity mapping trajectory of the space to be evaluated, all acquired motion intensity mapping trajectories included in different spatial regions can be determined, and the physical fitness value corresponding to the spatial design factor in the spatial region can be estimated based on the motion intensity mapping trajectory segments included in the spatial region.

[0052] In a possible implementation, the process of determining the physical value corresponding to the space design factor can be as follows: Figure 3 As shown, including: In S301 , spatial regions having the same functional factors in each space to be evaluated are determined.

[0053] In an embodiment of the present application, positions having the same functional information, i.e., the same functional factors, can be divided into the same spatial area according to the functional information of each position of the determined space to be evaluated, and spatial design factor analysis can be performed based on the divided spatial areas.

[0054] When performing spatial design factor analysis based on spatial regions, spatial regions with the same functional factors in multiple different spaces to be evaluated can be analyzed collectively. For example, if the spaces to be evaluated include 1,000 functional factors that all have playground functions, the spatial regions of playgrounds in 1,000 campuses can be analyzed collectively to obtain the mapping trajectories of the exercise intensity of the playgrounds in the 1,000 spaces to be evaluated.

[0055] In S302, a spatial design factor data set corresponding to each spatial region is determined, and the spatial design factor data set includes more than two spatial design factor vectors.

[0056] After determining the spatial area used for estimation this time, the spatial design factors included in the corresponding spatial areas of different spaces to be evaluated can be obtained respectively to form a spatial design factor data set. For each space to be evaluated, a spatial design factor vector can be uniquely determined. Therefore, the spatial design factor data set includes more than two spatial design factor vectors. For example, for the spatial area of ​​a playground, the spatial design factor vector may include: functional information (playground), length (N1 meters), width (N2 meters), and spatial area equipment (swings, slides). For multiple spaces to be evaluated, such as 1,000 spaces to be evaluated, it includes one thousand spatial design factor vectors.

[0057] In S303, the physical energy consumption value corresponding to the space design factor vector is determined.

[0058] The physical energy consumption value in the embodiment of the present application can be determined in a variety of ways. For example, the physical energy consumed by the user in the spatial area, i.e., the physical energy consumption value, can be determined based on the user's heart rate and duration. The heart rate can reflect the user's exercise intensity. Combined with the user's weight and other information, the exercise intensity can represent the user's physical energy consumption value per unit time. Based on the exercise intensity and the duration, the physical energy consumption value in the spatial area can be estimated.

[0059] In a possible implementation, the physical energy consumption value corresponding to the spatial design factor vector in the spatial region can be determined according to the motion intensity mapping trajectory, such as Figure 4As shown, the implementation process includes: In S401, the movement duration of different users at different positions of the space to be evaluated and the movement intensity at the different positions are determined according to the movement intensity mapping trajectory.

[0060] According to the motion intensities corresponding to different positions of the user in the to-be-evaluated space included in the motion intensity mapping trajectory, the motion intensities of the user at different positions can be obtained.

[0061] In S402, the spatial region corresponding to the spatial design factor vector is determined, and the exercise intensity of the user in the spatial region and the exercise durations of different exercise intensities are determined.

[0062] After determining the exercise intensity at different positions according to the exercise intensity mapping trajectory of the space to be evaluated, the exercise intensity within the spatial area and the duration of different exercise intensities can be determined based on the spatial area corresponding to the spatial design factor vector. The duration of different exercise intensities can be obtained by statistics or integration of the exercise data in the spatial area. In order to improve calculation efficiency, multiple exercise intensity ranges and the duration corresponding to the exercise intensity ranges can be obtained. By dividing the exercise intensity range, the duration of different exercise intensity ranges can be more efficiently obtained. When using the exercise intensity range to determine the physical energy consumption value, the middle value of the exercise intensity range can be selected for calculation.

[0063] In S403, the physical energy consumption value corresponding to the spatial design factor vector is determined according to the exercise duration and the exercise intensity.

[0064] After determining the different exercise intensities in a certain spatial area and the duration of different exercise intensities, the exercise intensity can be converted into the physical energy consumption value per unit time according to the corresponding relationship between the exercise intensity and the physical energy consumption value per unit time. The physical energy consumption value corresponding to the spatial design factor vector in the spatial area can be determined by multiplying the physical energy consumption value per unit time by the duration.

[0065] Alternatively, in a possible implementation, the embodiment of the present application may also determine a curve function corresponding to the motion intensity mapping trajectory, and perform integral calculations through the curve function to quickly obtain physical energy consumption values ​​corresponding to multiple curve segments located in a certain spatial area.

[0066] In S304, the physical energy value of the space design factor is estimated according to the corresponding relationship between the physical energy consumption value and the space design factor vector.

[0067] After determining multiple sets of correspondences between the spatial design factor vectors and the physical energy consumption values ​​in a certain spatial region (each space to be evaluated having the spatial region has a set of correspondences), the embodiment of the present application can determine the weights of each spatial design factor through linear regression, maximum likelihood estimation, Bayesian estimation, and other methods to obtain the impact value of the spatial design factor on the physical energy consumption value, that is, the physical energy value of the spatial design factor. According to the determined spatial design factors, when designing and planning the space to be evaluated, the priority of the spatial design factors with high physical energy value can be increased, so that the space to be evaluated after design has a better physical energy promotion effect and improves the physical energy promotion performance of the space to be evaluated.

[0068] In a possible implementation, the embodiment of the present application can also obtain a functional factor combination based on two or more functional factors, determine the spatial area corresponding to the functional factor combination, determine the physical energy consumption value corresponding to the spatial area, and add the position relationship of the functional factor combination to the spatial design factor vector. Determine the estimation of the physical energy value of the spatial design factor of the functional factor combination relationship by linear regression and other methods. The weight or physical energy value of the spatial design factor based on the determined functional factor combination.

[0069] Alternatively, based on a similar method, the combined weights or physical value of other spatial design factors in the same spatial area can be determined. For example, the combined design factors between spatial area equipment, the combined design factors between spatial area equipment and spatial dimension parameters, etc. can be determined. Based on the physical value of the combined design factors, a design reference can be provided for the optimal design of the space to be evaluated.

[0070] In a possible implementation, in order to improve the intuitiveness of physical fitness value assessment, the embodiment of the present application can also display data in the to-be-assessed spatial map according to the motion data, including at least one of the following methods: A user position distribution heat map of the space to be evaluated is generated according to the positions of multiple users moving in the space to be evaluated.

[0071] A user trajectory map of the space to be evaluated is generated according to the movement positions of multiple users in the space to be evaluated.

[0072] A heat map of the exercise intensity of the space to be evaluated is generated according to the exercise intensities of the multiple users in the space to be evaluated.

[0073] Among them, through the user location distribution heat map, the user distribution density of the spatial area can be represented by different colors. For the area with higher user distribution density, it can be displayed in a display style with higher heat than that of the area with lower user distribution density.

[0074] Accordingly, for a spatial area with a higher exercise intensity, a hotter display style may be provided relative to a spatial area with a lower exercise intensity, for example, the exercise intensity of users in a spatial area with a higher exercise intensity may be displayed in red, and the exercise intensity of users in a spatial area with a lower exercise intensity may be displayed in blue.

[0075] Based on the heat map of the motion intensity of the space to be evaluated, or the heat map of the user position in the space to be evaluated, the user position distribution and motion intensity distribution can be intuitively observed, so as to further optimize the relevant space design factors according to the distribution law, including adding space area equipment with high motion intensity in high-heat space motion areas.

[0076] In addition, in order to facilitate the observation of the user's activity range in the space to be evaluated, a user trajectory map of the space to be evaluated can be generated, which is convenient for intuitively observing the user's activity route in the space to be evaluated, and optimizing the space design factors of the campus according to the activity route. For example, according to the activity route, a space design factor that stimulates users to engage in physical activities can be set.

[0077] In a possible implementation, the embodiment of the present application can also segment the motion intensity mapping trajectory according to the user's stay time to obtain more than two trajectory segments. In combination with the user's occupation, the occupational activity trajectory generated by the occupational activity needs is determined, and the trajectory segments are screened through the occupational activity trajectory to obtain an effective activity trajectory without the occupational activity trajectory. Based on the effective activity trajectory and the space design factor, the physical fitness value corresponding to the space design factor is estimated.

[0078] The user's stay time is compared with a preset time threshold, and if it is greater than the time threshold, the motion intensity mapping trajectory can be divided according to the location of the stay time. The motion intensity mapping trajectory is divided according to the determined division points to obtain more than two trajectory segments.

[0079] The occupation of the user may be a student attending school or an employee working in the space to be evaluated. For example, when the occupation of the user for obtaining motion data is a student, it can be determined that the student's occupational activity trajectory includes a dining trajectory between the classroom and the cafeteria, a sleeping trajectory between the classroom and the dormitory, and a convenience trajectory between the classroom and the toilet.

[0080] By screening the trajectory segments through the occupational activity trajectory, the occupational activity trajectory is not included in the screened effective activity trajectory, which can effectively reduce the interference of the occupational activity trajectory on the physical fitness value assessment, thereby effectively improving the accuracy of the assessment.

[0081] In a possible implementation, when estimating the physical value corresponding to the space design factor, the embodiment of the present application can also obtain the user's daily physical energy consumption value, and determine the user's activity factor based on the user's daily physical energy consumption value. When determining the physical energy consumption value corresponding to the space design factor vector, the user's physical energy consumption value can be corrected according to the user's activity factor to obtain the corrected physical energy consumption value corresponding to the space design factor vector. The higher the activity factor, that is, the higher the user's daily activity, the physical energy consumption value determined by the user is corrected downward, and the lower the user's daily activity, the physical energy consumption value determined by the user is corrected upward, thereby effectively reducing the impact of individual differences among users on the evaluation results.

[0082] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0083] Figure 5 A schematic diagram of a device for evaluating the physical fitness value of a space provided in an embodiment of the present application, the device comprising: A motion data acquisition unit, used to acquire motion data of multiple spaces to be evaluated, wherein the motion data of a single space to be evaluated includes positions of multiple users' motions in the space to be evaluated and motion intensities at different positions; A trajectory determination unit, used to determine the motion intensity mapping trajectory of each user in the space to be evaluated according to the position and the motion intensity; A space design factor determination unit, used to determine the space design factor of the above-mentioned space to be evaluated; The physical fitness value estimation unit is used to estimate the physical fitness value corresponding to the above-mentioned space design factor according to the motion intensity mapping trajectory of the above-mentioned space to be evaluated and the above-mentioned space design factor.

[0084] Figure 5 The physical fitness value assessment device of the space shown is Figure 2 The physical value assessment method of the space shown corresponds to this.

[0085] Figure 6 Schematic diagram of a space physical value assessment device provided by an embodiment of the present application. Figure 6 As shown, the space physical value assessment device 6 of this embodiment includes: a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60, such as a space physical value assessment program. When the processor 60 executes the computer program 62, the steps in the above-mentioned embodiments of the space physical value assessment method are implemented. Alternatively, when the processor 60 executes the computer program 62, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0086] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the physical fitness value assessment device 6 of the space.

[0087] The physical fitness value assessment device 6 of the space can be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The physical fitness value assessment device of the space can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 6 It is only an example of a space physical fitness value assessment device 6 and does not constitute a limitation of the space physical fitness value assessment device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the space physical fitness value assessment device may also include input and output devices, network access devices, buses, etc.

[0088] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0089] The memory 61 may be an internal storage unit of the physical fitness value assessment device 6 of the space, such as a hard disk or memory of the physical fitness value assessment device 6 of the space. The memory 61 may also be an external storage device of the physical fitness value assessment device 6 of the space, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the physical fitness value assessment device 6 of the space. Furthermore, the memory 61 may also include both an internal storage unit and an external storage device of the physical fitness value assessment device 6 of the space. The memory 61 is used to store the computer program and other programs and data required by the physical fitness value assessment device of the space. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0090] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0091] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0092] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0093] In the embodiments provided in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0094] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0095] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0096] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0097] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for evaluating the physical value of a space, characterized in that: The method comprises: Acquire motion data of multiple spaces to be evaluated, wherein the motion data of a single space to be evaluated includes positions of multiple users' motions in the space to be evaluated and motion intensities at different positions; Determine, according to the position and the motion intensity, a motion intensity mapping trajectory of each user in the space to be evaluated; Determining the spatial design factor of the space to be evaluated; According to the motion intensity mapping trajectory of the space to be evaluated and the space design factor, the physical fitness value corresponding to the space design factor is estimated.

2. The method according to claim 1, characterized in that The space design factors include functional factors and space attribute factors; Determine the spatial design factors of the space to be evaluated, including: Acquire functional information of different positions of the space to be evaluated, and determine functional factors in the space design factors of the space to be evaluated according to the functional information; The spatial attributes of different positions of the space to be evaluated are obtained, and the spatial attribute factors in the spatial design factors of the space to be evaluated are determined according to the spatial attributes.

3. The method according to claim 2, characterized in that According to the motion intensity mapping trajectory of the space to be evaluated and the space design factor, estimating the physical fitness value corresponding to the space design factor includes: Determining spatial regions having the same functional factors in each of the spaces to be evaluated; Determine a spatial design factor data set corresponding to each of the spatial regions, wherein the spatial design factor data set includes more than two spatial design factor vectors; Determining a physical energy consumption value corresponding to the space design factor vector; The physical energy value of the space design factor is estimated according to the corresponding relationship between the physical energy consumption value and the space design factor vector.

4. The method according to claim 3, characterized in that Determining the physical energy consumption value corresponding to the space design factor vector includes: Determining the movement duration of different users at different positions of the space to be evaluated and the movement intensity at the different positions according to the movement intensity mapping trajectory; Determine a spatial region corresponding to the spatial design factor vector, and determine the exercise duration and the exercise intensity of the user in the spatial region; The physical energy consumption value corresponding to the spatial design factor vector is determined according to the exercise duration and the exercise intensity.

5. The method according to claim 1, characterized in that Obtain the user's motion data in the space to be evaluated, including: Acquire the position of the user in the space to be evaluated at different times according to the position sensor, and generate a motion trajectory according to the position of the user in the space to be evaluated at different times; The moving speed of the user in the space to be evaluated is acquired according to a motion sensor, and the motion intensity of the user at different positions is determined according to a preset corresponding relationship between the moving speed and the motion intensity.

6. The method according to any one of claims 1 to 5, characterized in that: After acquiring the motion data of the plurality of spaces to be evaluated, the method further includes at least one of the following: Generating a user position distribution heat map of the space to be evaluated according to the positions of multiple users moving in the space to be evaluated; Generate a user trajectory map of the space to be evaluated according to the movement positions of the multiple users in the space to be evaluated; A heat map of the exercise intensity of the space to be evaluated is generated according to the exercise intensity of the multiple users in the space to be evaluated.

7. The method according to any one of claims 1 to 5, characterized in that: After respectively determining the motion intensity mapping trajectories of each user in the space to be evaluated, the method further includes: Segmenting the motion intensity mapping trajectory according to the user's stay time to obtain more than two trajectory segments; Obtaining the occupation of the user, and determining a career activity trajectory according to the occupation of the user; The track segments are screened by using the occupational activity track to obtain a screened valid activity track; According to the motion intensity mapping trajectory of the space to be evaluated and the space design factor, estimating the physical fitness value corresponding to the space design factor includes: According to the effective activity trajectory of the space to be evaluated and the space design factor, the physical fitness value corresponding to the space design factor is estimated.

8. A device for evaluating the physical fitness value of a space, characterized in that: The device comprises: A motion data acquisition unit, used to acquire motion data of a plurality of spaces to be evaluated, wherein the motion data of a single space to be evaluated includes positions of motion of a plurality of users in the space to be evaluated and motion intensities at different positions; a trajectory determination unit, configured to determine, according to the position and the motion intensity, a motion intensity mapping trajectory of each user in the space to be evaluated; A space design factor determination unit, used to determine the space design factor of the space to be evaluated; The physical fitness value estimation unit is used to estimate the physical fitness value corresponding to the space design factor according to the motion intensity mapping trajectory of the space to be evaluated and the space design factor.

9. A device for evaluating the physical fitness value of a space, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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