Spatial physical fitness value evaluation method, device, equipment and storage medium

Abstract

This application relates to the field of spatial optimization design, and particularly to a method, device, equipment and storage medium for evaluating the physical fitness value of a space. The method includes: obtaining the motion data of a plurality of spaces to be evaluated, where the motion data of a single space to be evaluated includes the positions of multiple user motions in the space to be evaluated and the motion intensities at different positions; respectively determining the motion intensity mapping trajectories of each user in the space to be evaluated according to the positions and the motion intensities; determining the spatial design factors of the space to be evaluated; and estimating the physical fitness value corresponding to the spatial design factors according to the motion intensity mapping trajectories of the space to be evaluated and the spatial design factors. Compared with the method of estimating by experience, this method evaluates the physical fitness value based on the relationship between the motion intensity and the spatial design factors determined from 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.

Description

Technical Field

[0001] This application relates to the field of spatial optimization design, and particularly to a method, apparatus, device, and storage medium for evaluating the physical fitness value of 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 through physical activity and thus promoting health is a very effective way.

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

[0004] In view of this, the embodiments of this application provide a method, apparatus, device, and storage medium for evaluating the physical fitness value of space, so as to solve the problem that the accuracy and reliability of the evaluation results of the physical fitness promotion performance of the space to be evaluated in the prior art are not high, which is not conducive to effectively improving the physical fitness promotion performance of the space to be evaluated.

[0005] The first aspect of the embodiments of this application provides a method for evaluating the physical fitness value of space, and the method includes:

[0006] Obtain the motion data of multiple spaces to be evaluated, where the motion data of a single space to be evaluated includes the positions of multiple user motions in the space to be evaluated and the motion intensities at different positions;

[0007] According to the above positions and motion intensities, respectively determine the motion intensity mapping trajectories of each user in the space to be evaluated;

[0008] Determine the space design factors of the space to be evaluated;

[0009] According to the motion intensity mapping trajectories and the space design factors of the space to be evaluated, estimate the physical fitness value corresponding to the space design factors.

[0010] Combined with the first aspect, in the first possible implementation manner of the first aspect, the space design factors include functional factors and space attribute factors;

[0011] Determining the space design factors of the space to be evaluated includes:

[0012] Obtain the function information at different positions of the above-mentioned space to be evaluated, and determine the function factor in the space design factor of the above-mentioned space to be evaluated according to the above-mentioned function information;

[0013] Obtain the space attributes at different positions of the above-mentioned space to be evaluated, and determine the space attribute factor in the space design factor of the above-mentioned space to be evaluated according to the above-mentioned space attributes.

[0014] Combined with the first possible implementation manner of the first aspect, in the second possible implementation manner of the first aspect, estimate the physical fitness value corresponding to the above-mentioned space design factor according to the motion intensity mapping trajectory and the above-mentioned space design factor of the above-mentioned space to be evaluated, including:

[0015] Determine the space regions in each of the above-mentioned spaces to be evaluated that have the same function factor;

[0016] Determine the space design factor data set corresponding to each of the above-mentioned space regions, and the above-mentioned space design factor data set includes more than two space design factor vectors;

[0017] Determine the physical fitness consumption value corresponding to the above-mentioned space design factor vector;

[0018] Estimate the physical fitness value of the above-mentioned space design factor according to the corresponding relationship between the above-mentioned physical fitness consumption value and the space design factor vector.

[0019] Combined with the second possible implementation manner of the first aspect, in the third possible implementation manner of the first aspect, determine the physical fitness consumption value corresponding to the above-mentioned space design factor vector, including:

[0020] Determine the exercise duration of different users at different positions in the above-mentioned space to be evaluated and the exercise intensity at the above-mentioned different positions according to the above-mentioned motion data;

[0021] Determine the exercise region corresponding to the above-mentioned space design factor vector, and determine the exercise duration and the exercise intensity of the above-mentioned user in the above-mentioned exercise region;

[0022] Determine the physical fitness consumption value corresponding to the above-mentioned space design factor vector according to the above-mentioned exercise duration and the above-mentioned exercise intensity.

[0023] Combined with the first aspect, in the fourth possible implementation manner of the first aspect, obtain the motion data of the user in the space to be evaluated, including:

[0024] Obtain the position of the above-mentioned user in the above-mentioned space to be evaluated at different moments according to the position sensor, and generate the above-mentioned motion trajectory according to the position in the above-mentioned space to be evaluated at different moments;

[0025] Obtain the moving speed of the above user in the above space to be evaluated according to the motion sensor, and determine the exercise intensity of the above user at different positions according to the corresponding relationship between the preset moving speed and the exercise intensity.

[0026] Combined with any one of the first aspect to the fourth possible implementation manners of the first aspect, in the fifth possible implementation manner of the first aspect, after obtaining the motion data of multiple spaces to be evaluated, the above method further includes at least one of the following:

[0027] Generate a heat map of the user location distribution of the above space to be evaluated according to the positions where multiple users move in the above space to be evaluated;

[0028] Generate a user trajectory map of the above space to be evaluated according to the positions where the above multiple users move in the above space to be evaluated;

[0029] Generate a heat map of the exercise intensity of the above space to be evaluated according to the exercise intensity of the above multiple users in the above space to be evaluated.

[0030] Combined with any one of the first aspect to the fourth possible implementation manners of the first aspect, in the sixth possible implementation manner of the first aspect, after determining the space design factor of the above space to be evaluated, the above method further includes:

[0031] Estimate the physical fitness value of the space design factor combination according to the exercise intensity mapping trajectory of the above space to be evaluated and the above space design factor.

[0032] Combined with any one of the first aspect to the fourth possible implementation manners of the first aspect, in the seventh possible implementation manner of the first aspect, after respectively determining the exercise intensity mapping trajectories of each user in the space to be evaluated, the above method further includes:

[0033] Segment the exercise intensity mapping trajectory according to the residence duration of the user to obtain more than two trajectory segments;

[0034] Obtain the occupation of the user, and determine the occupational activity trajectory according to the occupation of the user;

[0035] Screen the trajectory segments through the occupational activity trajectory to obtain the screened effective activity trajectories;

[0036] Estimate the physical fitness value corresponding to the space design factor according to the exercise intensity mapping trajectory of the above space to be evaluated and the above space design factor, including:

[0037] Estimate the physical fitness value corresponding to the space design factor according to the effective activity trajectory of the above space to be evaluated and the above space design factor.

[0038] The second aspect of the embodiments of the present application provides a physical fitness value evaluation device for a space, and the above device includes:

[0039] A motion data acquisition unit, configured to acquire motion data of a plurality of spaces to be evaluated. The motion data of a single space to be evaluated includes the positions of a plurality of user motions in the space to be evaluated and the motion intensities at different positions.

[0040] A trajectory determination unit, configured to respectively determine the motion intensity mapping trajectories of each user in the space to be evaluated according to the above positions and the above motion intensities.

[0041] A space design factor determination unit, configured to determine the space design factors of the space to be evaluated.

[0042] A physical fitness value estimation unit, configured 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 above space design factor.

[0043] Combined with the second aspect, in the first possible implementation manner of the second aspect, the above space design factors include a function factor and a space attribute factor;

[0044] The above space design factor determination unit includes:

[0045] A function factor determination subunit, configured to acquire the function information of different positions of the space to be evaluated, and determine the function factor in the space design factors of the space to be evaluated according to the above function information;

[0046] A space attribute factor determination subunit, configured to acquire the space attributes of different positions of the space to be evaluated, and determine the space attribute factor in the space design factors of the space to be evaluated according to the above space attributes.

[0047] Combined with the first possible implementation manner of the second aspect, in the second possible implementation manner of the second aspect, the physical fitness value estimation unit includes:

[0048] A space area determination subunit, configured to determine the space areas with the same function factor in each space to be evaluated;

[0049] A data set determination subunit, configured to determine the space design factor data set corresponding to each above space area. The space design factor data set includes more than two space design factor vectors;

[0050] A physical fitness consumption value determination subunit, configured to determine the physical fitness consumption value corresponding to the above space design factor vector;

[0051] A physical fitness value estimation subunit, configured to estimate the physical fitness value of the above space design factor according to the corresponding relationship between the above physical fitness consumption value and the space design factor vector.

[0052] Combined with the second possible implementation of the second aspect, in the third possible implementation of the second aspect, the physical energy consumption value determination subunit includes:

[0053] The first data determination module is configured to determine the exercise duration of different users at different positions in the to-be-evaluated space and the exercise intensity at different positions according to the above-mentioned exercise data;

[0054] The second data determination module is configured to determine the exercise area corresponding to the above-mentioned space design factor vector, and determine the exercise duration and the exercise intensity of the above-mentioned user in the above-mentioned exercise area;

[0055] The physical energy consumption value determination module is configured to determine the physical energy consumption value corresponding to the above-mentioned space design factor vector according to the above-mentioned exercise duration and the above-mentioned exercise intensity.

[0056] Combined with the second aspect, in the fourth possible implementation of the second aspect, the exercise data acquisition unit includes:

[0057] The exercise trajectory generation subunit is configured to obtain the positions of the above-mentioned user in the to-be-evaluated space at different times according to the position sensor, and generate an exercise trajectory according to the positions in the to-be-evaluated space at different times;

[0058] The exercise intensity determination subunit is configured to obtain the moving speed of the above-mentioned user in the to-be-evaluated space according to the motion sensor, and determine the exercise intensity of the above-mentioned user at different positions according to the corresponding relationship between the preset moving speed and the exercise intensity.

[0059] Combined with any one of the second aspect to the fourth possible implementation of the second aspect, in the fifth possible implementation of the second aspect, it further includes a display unit configured to implement at least one of the following:

[0060] Generate a heat map of the user position distribution in the to-be-evaluated space according to the positions of multiple users moving in the to-be-evaluated space;

[0061] Generate a user trajectory map of the to-be-evaluated space according to the positions of the above-mentioned multiple users moving in the to-be-evaluated space;

[0062] Generate a heat map of the exercise intensity in the to-be-evaluated space according to the exercise intensity of the above-mentioned multiple users in the to-be-evaluated space.

[0063] Combined with any one of the second aspect to the fourth possible implementation of the second aspect, in the sixth possible implementation of the second aspect, it further includes a physical energy value estimation unit for the combination of space design factors, configured to estimate the physical energy value of the combination of space design factors according to the exercise intensity mapping trajectory and the above-mentioned space design factors of the to-be-evaluated space.

[0064] In a third aspect of the embodiments of the present application, a physical fitness value evaluation device for a space is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method according to any one of the first aspects are implemented.

[0065] In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of the first aspects are implemented.

[0066] The beneficial effects of the embodiments of the present application compared with the prior art are as follows: By obtaining the motion data of multiple spaces to be evaluated, determining the motion intensity mapping trajectory according to the motion position and motion intensity, determining the space design factor of the space to be evaluated, and estimating the experience value of the space mapping factor based on the space design factor and the motion intensity mapping trajectory. Compared with the method of estimating by experience, this method determines the relationship between the motion intensity and the space design factor based on the motion data to evaluate the physical fitness value, 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

[0067] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0068] Figure 1 is a schematic diagram of an implementation scenario of a physical fitness value evaluation method for a space provided by an embodiment of the present application;

[0069] Figure 2 is a schematic diagram of an implementation process of a physical fitness value evaluation method for a space provided by an embodiment of the present application;

[0070] Figure 3 is a schematic diagram of an implementation process of a method for estimating physical fitness value provided by an embodiment of the present application;

[0071] Figure 4 is a schematic diagram of an implementation process of a method for determining physical fitness consumption value provided by an embodiment of the present application;

[0072] Figure 5 is a schematic diagram of a physical fitness value evaluation device for a space provided by an embodiment of the present application;

[0073] Figure 6 It is a schematic diagram of a spatial physical fitness value evaluation device provided by an embodiment of the present application. Specific embodiments

[0074] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can 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 avoid unnecessary details from interfering with the description of the present application.

[0075] In order to illustrate the above technical solutions of the present application, the following will be described through specific embodiments.

[0076] Physical activity can not only enhance cardiopulmonary function, improve muscle strength and endurance, but also improve mental health and sleep quality. Therefore, enhancing physical fitness through physical activity and thus promoting health is a very effective way.

[0077] After entering the 21st century, with the gradual in-depth research of modern medical science, more and more evidence shows that a reasonably 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, and 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.

[0078] Based on this, the embodiments of the present application propose a method for evaluating the physical fitness value of a space, as Figure 1 Shown is a schematic diagram of an implementation scenario of a method for evaluating the physical fitness value of a space provided by an embodiment of the present application. The implementation scenario includes a spatial physical fitness value evaluation device and a sensing device. Among them, there can be multiple sensing devices, and the multiple sensing devices can be worn by multiple users respectively to collect the movement data of the users in multiple spaces to be evaluated during the process of learning, working, or living. The sensing device includes, for example, a position sensor and a speed sensor, etc. The spatial physical fitness value evaluation device is used to receive the movement data collected by the sensing device, determine the movement intensity mapping trajectory of the user in the space to be evaluated based on the movement data, and calculate the physical fitness value of the spatial design factor of the space to be evaluated based on the movement intensity mapping trajectory.

[0079] Figure 2 This method provided by an embodiment of the present application includes:

[0080] In S201, obtain the movement data of multiple spaces to be evaluated. The movement data of a single above-mentioned space to be evaluated includes the positions of the movements of multiple users in the above-mentioned space to be evaluated and the movement intensity at different positions.

[0081] Among them, the space to be evaluated may include at least one of a campus space, an industrial park space, a shopping mall space, and a sports center space. Among them, the campus space may include the activity spaces of primary and secondary school students during the process of studying and living in school. For example, the campus space may include corridor spaces, stair spaces, playground spaces, court spaces, green space spaces, square spaces, sports spaces, etc. The space to be evaluated in the campus that needs to obtain motion data can be determined according to the areas where students in the campus are used for activities.

[0082] The motion data in the embodiments of the present application can be assisted in obtaining by users for value evaluation. For example, when the space to be evaluated is a campus space, the motion data can be assisted in obtaining by students studying and living in school.

[0083] The motion data in the embodiments 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.

[0084] Among them, the position of the user in the space to be evaluated can be obtained by a position sensor to collect the positions where the user is located at different times. In order to accurately obtain the position of the user in the space to be evaluated, indoor positioning technology can be combined to determine the accurate position of the user in different floor spaces of the space to be evaluated. For example, the position of the user in different floors of a building can be determined through a Bluetooth base station positioning system.

[0085] In order to more accurately estimate the physical fitness value corresponding to different space design factors, when obtaining the motion data of the space to be evaluated in the embodiments of the present application, a large amount of motion data of the space to be evaluated can be collected. The space to be evaluated for collecting motion data can have different space design factors. The space design factors may include a function factor and a space attribute factor.

[0086] For example, if the function factors of the space design factors are different, it may include that the types of space area devices in the space design factors are different, including that the space areas in the space to be evaluated include space area devices with different functions. If the space attribute factors of the space design factors are different, it includes that space areas such as corridor or square spaces have different design size parameters, etc., or the positional relationships between spaces are different, including that parameters such as the relative orientation and distance between different spaces are different.

[0087] The positions of the user in the space to be evaluated at different times in the embodiments of the present application can determine the motion trajectory of the user in the space to be evaluated according to the sequence relationship. The positions of the user in the space to be evaluated can be obtained at a predetermined time interval, and each position is connected in sequence according to the sequence relationship of the obtained positions to obtain the motion trajectory of the user in the space to be evaluated.

[0088] In the embodiments of the present application, the movement speed of a user in the space to be evaluated can be obtained through a motion sensor, and according to the corresponding relationship between the movement speed and the exercise intensity, the exercise intensity of the user at different positions can be determined. 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 the magnitude of the movement speed of the user can be determined according to the acceleration.

[0089] Physical activities for detecting exercise intensity can be classified 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 croquet. Moderate physical activities can include activities at a medium speed (for example, the speed range can be 70 - 90 meters per minute), and vigorous physical activities can include activities such as running and basketball. The exercise intensity of the user can be determined according to the exercise metabolic equivalent. For example, assuming that an adult with a body weight of 70 kg consumes 3.5 ml of oxygen per kilogram of body weight per minute at rest (for example, sitting quietly on a chair), this basal metabolic rate can be set as 1 exercise metabolic equivalent (METS). Physical activities with an exercise intensity < 3.0 METs can be defined as light physical activities, physical activities with an exercise intensity of 3.0 - 6.0 METs can be defined as moderate physical activities, and physical activities with an exercise intensity > 6.0 METs can be defined as vigorous physical activities. That is to say, the exercise intensity of the user can be represented by the exercise metabolic equivalent, and the exercise intensity corresponding to the user at different movement speeds can be calculated according to the actual information of the user.

[0090] In a possible implementation manner, the motion sensor can also detect the exercise type of the user, and according to the exercise type, combined with information such as heart rate and physical activity, the exercise intensity of the user can be determined more accurately.

[0091] In S202, according to the above positions and the above exercise intensity, the exercise intensity mapping trajectories of each user in the space to be evaluated are respectively determined.

[0092] In the embodiments of the present application, in a single space to be evaluated, the exercise data of multiple users can be obtained. For example, the exercise data of multiple users can be obtained through a positioning sensor and a motion sensor. The more users whose exercise data is obtained and the longer the acquisition duration, the higher the reliability of the exercise data.

[0093] In the embodiments 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 can include multiple spaces to be evaluated. The more the number of spaces to be evaluated, the higher the reliability of the obtained evaluation results.

[0094] When determining the motion intensity mapping trajectory based on the position and motion intensity, the corresponding relationship between different motion intensities and display styles can be preset. For example, different motion intensities can be represented by different colors. The higher the motion intensity, the deeper the color; the lower the motion intensity, the lower the color depth. Or, different motion intensities can also be represented by the thickness of the trajectory line. For example, the thicker the trajectory line, the higher the motion intensity; the thinner the line, the lower the motion intensity. By displaying different styles in the motion intensity mapping trajectory, it is used to intuitively display different motion intensities, and the motion intensity at any position can be quickly determined through this motion intensity mapping trajectory, which is convenient for intuitive analysis and calculation of spatial design factors.

[0095] In S203, determine the spatial design factors of the above-mentioned space to be evaluated.

[0096] 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 correspondingly determine the functional factors corresponding to different spatial areas. Or, a three-dimensional map of the space to be evaluated can also be collected by a map collection device such as a drone, 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 factor corresponding to the spatial area. Or, after collecting a three-dimensional map of the space to be evaluated by a map collection device such as a drone, calibration information from relevant personnel can be received to determine the functional information of the spatial areas in the three-dimensional map, so as to determine the functional factors corresponding to each spatial area.

[0097] The spatial attribute factors may include information such as the design dimension parameters and spatial area equipment of a certain spatial area. For example, the design dimension parameters of the spatial area may include design dimension parameters such as the width of the corridor, the openness of the corridor, and the corridor area. Among them, the openness of the corridor can be quantitatively determined according to parameters such as the light and darkness and ventilation degree of the corridor.

[0098] In different spatial areas, different spatial area equipment can be set. For example, the spatial area equipment set in the playground may include equipment such as slides, swings, climbing frames, horizontal bars, and parallel bars.

[0099] For a spatial area device, the position of the spatial area device and the influence range of the spatial area device can be determined in advance. When the user is within the influence range, it means that the user is engaged in a movement related to the spatial area device. The physical fitness value corresponding to the spatial design factor can be determined according to the influence range of the spatial area device, or the users 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.

[0100] In S204, according to the motion intensity mapping trajectory of the to-be-evaluated space and the above-mentioned spatial design factor, estimate the physical fitness value corresponding to the spatial design factor.

[0101] After determining the motion intensity mapping trajectory of the to-be-evaluated space, all the collected motion intensity mapping trajectories included in different spatial areas can be determined, and the physical fitness value corresponding to the spatial design factor in the spatial area can be estimated based on the motion intensity mapping trajectory segments included in the spatial area.

[0102] In a possible implementation, the process of determining the physical fitness value corresponding to the spatial design factor can be as Figure 3 shown, including:

[0103] In S301, determine the spatial areas with the same function factor in each to-be-evaluated space.

[0104] In the embodiments of the present application, according to the function information of each position of the to-be-evaluated space determined, the positions with the same function information, that is, the same function factor, can be divided into the same spatial area, and spatial design factor analysis can be performed based on the divided spatial areas.

[0105] When performing spatial design factor analysis based on spatial areas, the spatial areas with the same function factor in multiple different to-be-evaluated spaces can be analyzed together. For example, if there are 1000 to-be-evaluated spaces to be analyzed, all of which have the function factor of a playground, the spatial areas of the playgrounds of 1000 campuses can be analyzed together to obtain the motion intensity mapping trajectories of the playgrounds in 1000 to-be-evaluated spaces.

[0106] In S302, determine the spatial design factor data set corresponding to each spatial area, and the spatial design factor data set includes more than two spatial design factor vectors.

[0107] After determining the spatial region for this estimation, the spatial design factors included in the corresponding spatial regions of different spaces to be evaluated can be obtained respectively to form a spatial design factor dataset. For each space to be evaluated, a spatial design factor vector can be uniquely determined. Therefore, the spatial design factor dataset includes more than two spatial design factor vectors. For example, for the spatial region of a playground, the spatial design factor vector can include: functional information (playground), length (N1 meters), width (N2 meters), spatial region equipment (swing, slide). For multiple spaces to be evaluated, such as 1000 spaces to be evaluated, it includes one thousand spatial design factor vectors.

[0108] In S303, determine the physical energy consumption value corresponding to the spatial design factor vector.

[0109] The physical energy consumption value in the embodiments of the present application can be determined in various ways. For example, the physical energy consumed by the user in this spatial region, that is, the physical energy consumption value, can be determined according to the user's heart rate and duration. The heart rate can reflect the user's exercise intensity. Combining information such as the user's weight, the exercise intensity can represent the physical energy consumption value of the user per unit time. Based on the exercise intensity and the duration, the physical energy consumption value within the spatial region can be estimated.

[0110] In a possible implementation manner, the physical energy consumption value corresponding to the spatial design factor vector within the spatial region can be determined according to the exercise intensity mapping trajectory, as Figure 4 shown, and the implementation process includes:

[0111] In S401, according to the above exercise intensity mapping trajectory, determine the exercise duration of different users at different positions in the above space to be evaluated, and the exercise intensity at the above different positions.

[0112] According to the exercise intensity corresponding to different positions of the user in the space to be evaluated included in the exercise intensity mapping trajectory, the exercise intensity of the user at different positions can be obtained.

[0113] In S402, determine the spatial region corresponding to the above spatial design factor vector, and determine the exercise intensity and the exercise duration of different exercise intensities of the above user in the above spatial region.

[0114] 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 region corresponding to the spatial design factor vector can be determined, as well as the duration of different exercise intensities. The duration of different exercise intensities can be obtained by means of statistics or integration of the exercise data within this spatial region. To improve the calculation efficiency, multiple exercise intensity ranges and the corresponding durations of the exercise intensity ranges can be obtained. Through the division of the exercise intensity ranges, the durations of different exercise intensity ranges can be more efficiently counted. 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.

[0115] In S403, determine the physical energy consumption value corresponding to the spatial design factor vector according to the above exercise duration and the above exercise intensity.

[0116] After determining the different exercise intensities within a certain spatial region and the duration of different exercise intensities, according to the correspondence between the exercise intensity and the physical energy consumption value per unit time, the exercise intensity can be converted into the physical energy consumption value per unit time, and the physical energy consumption value corresponding to the spatial design factor vector within the spatial region can be determined by multiplying the physical energy consumption value per unit time by the duration.

[0117] Alternatively, in a possible implementation, the embodiments of the present application can also determine the curve function corresponding to the exercise intensity mapping trajectory, and through integral calculation of the curve function, quickly obtain the physical energy consumption values corresponding to multiple curve segments within a certain spatial region.

[0118] In S304, estimate the physical energy value of the spatial design factor according to the correspondence between the physical energy consumption value and the spatial design factor vector.

[0119] After the embodiments of the present application determine multiple groups of correspondences between the spatial design factor vector and the physical energy consumption value within a certain spatial region (each space to be evaluated having this spatial region has a group of correspondences), methods such as linear regression method, maximum likelihood estimation method, and Bayesian estimation method can be used to determine the weights of each spatial design factor, obtain the influence 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 improved, so as to improve the physical energy promotion effect of the designed space to be evaluated and enhance the physical energy promotion performance of the space to be evaluated.

[0120] In a possible implementation, embodiments of the present application can also obtain a functional factor combination based on two or more functional factors, determine the spatial region corresponding to the functional factor combination, determine the physical energy consumption value corresponding to the spatial region, and add the positional relationship of the functional factor combination to the spatial design factor vector. By methods such as linear regression, estimate the physical energy value of the spatial design factor of the functional factor combination relationship. Based on the weight or physical energy value of the spatial design factor of the determined functional factor combination.

[0121] Alternatively, based on a similar method, the weight or physical energy value of the combination of other spatial design factors in the same spatial region can also be determined. For example, the combined design factor between the devices in the spatial region and the combined design factor between the devices in the spatial region and the spatial dimension parameters can be determined. Based on the physical energy value of the combined design factor, provide a design reference for the optimal design of the space to be evaluated.

[0122] In a possible implementation, to improve the intuitiveness of the physical energy value evaluation, embodiments of the present application can also display data in the space map to be evaluated according to the motion data, including at least one of the following methods:

[0123] Generate a heat map of the user position distribution of the space to be evaluated according to the positions of multiple users moving in the space to be evaluated.

[0124] Generate a user trajectory map of the space to be evaluated according to the positions of multiple users moving in the space to be evaluated.

[0125] Generate a heat map of the motion intensity of the space to be evaluated according to the motion intensity of the multiple users in the space to be evaluated.

[0126] Among them, through the heat map of the user position distribution, the user distribution density of the spatial region can be represented by different colors. For the regions with a higher user distribution density, they can be displayed with a display style with a higher heat degree relative to the regions with a lower user distribution density.

[0127] Correspondingly, for the spatial regions with a higher motion intensity, they can have a display style with a higher heat degree relative to the spatial regions with a lower motion intensity. For example, display the motion intensity of the users in the spatial regions with a higher heat degree in red, and display the motion intensity of the users in the spatial regions with a lower heat degree in blue.

[0128] According to the heat map of the motion intensity of the space to be evaluated or the heat map of the user positions of the space to be evaluated, the position distribution and motion intensity distribution of the users can be visually observed, which is convenient for further optimizing the relevant spatial design factors according to this distribution law, such as adding devices for spatial regions with a high motion intensity in the high-heat motion regions of the space.

[0129] In addition, to facilitate observing the activity range of users in the space to be evaluated, a user trajectory map of the space to be evaluated can be generated to visually view the activity route of users in the space to be evaluated, and the space design factors of the campus can be optimized according to the activity route. For example, space design factors that stimulate users to engage in physical activities can be set according to the activity route.

[0130] In a possible implementation manner, the embodiment of the present application can also segment the motion intensity mapping trajectory according to the residence duration of the user to obtain two or more trajectory segments. Combining the occupation of the user, determine the occupation activity trajectory generated by the needs of occupation activities, and screen the trajectory segments through the occupation activity trajectory to obtain an effective activity trajectory excluding the occupation activity trajectory. Based on the effective activity trajectory and the space design factor, estimate the physical fitness value corresponding to the space design factor.

[0131] Compare the residence duration of the user with a preset duration threshold. If it is greater than the duration threshold, the motion intensity mapping trajectory can be divided according to the position where the residence duration is located. Divide the motion intensity mapping trajectory according to the determined division point to obtain two or more trajectory segments.

[0132] The occupation of the user can be a student going to school, an employee working, etc. 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 occupation activity trajectory of the student includes the dining trajectory between the classroom and the cafeteria, the bedtime trajectory between the classroom and the dormitory, the convenience trajectory between the classroom and the toilet, etc.

[0133] Screen the trajectory segments through the occupation activity trajectory, so that the occupation activity trajectory is not included in the screened effective activity trajectory, which can effectively reduce the interference of the occupation activity trajectory on the physical fitness value evaluation, and thus effectively improve the accuracy of the evaluation.

[0134] In a possible implementation manner, when estimating the physical fitness value corresponding to the space design factor, the embodiment of the present application can also obtain the daily physical energy consumption value of the user, and determine the activity factor of the user according to the daily physical energy consumption value of the user. When determining the physical energy consumption value corresponding to the space design factor vector, the physical energy consumption value of the user can be corrected according to the activity factor of the user 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 daily activity of the user, the lower the determined physical energy consumption value of the user is corrected downward. The lower the daily activity of the user, the higher the determined physical energy consumption value of the user is corrected upward, so as to effectively reduce the influence of individual differences of users on the evaluation result.

[0135] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0136] Figure 5 A schematic diagram of a physical fitness value evaluation device for a space provided by an embodiment of the present application. The device includes:

[0137] A motion data acquisition unit, configured to acquire motion data of a plurality of spaces to be evaluated. The motion data of a single space to be evaluated includes the positions of a plurality of user motions in the space to be evaluated and the motion intensities at different positions.

[0138] A trajectory determination unit, configured to respectively determine the motion intensity mapping trajectories of each user in the space to be evaluated according to the positions and the motion intensities.

[0139] A space design factor determination unit, configured to determine the space design factor of the space to be evaluated.

[0140] A physical fitness value estimation unit, configured 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.

[0141] Figure 5 The physical fitness value evaluation device of the space shown corresponds to Figure 2 The physical fitness value evaluation method of the space shown.

[0142] Figure 6 A schematic diagram of a physical fitness value evaluation device for a space provided by an embodiment of the present application. As Figure 6 shown, the physical fitness value evaluation 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 physical fitness value evaluation program. When the processor 60 executes the computer program 62, the steps in the above-mentioned embodiments of the physical fitness value evaluation method for each space 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.

[0143] Exemplarily, the computer program 62 can be divided into one or more modules / units. The one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 62 in the physical fitness value evaluation device 6.

[0144] The physical fitness value evaluation device 6 of the said space can be computing devices such as a desktop computer, a notebook, a palm computer, and a cloud server. The physical fitness value evaluation device of the said space may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 6 merely an example of a physical fitness value evaluation device 6 of a space, which does not constitute a limitation on the physical fitness value evaluation device 6 of the space. It may include more or fewer components than those shown in the figure, or combine some components, or different components. For example, the physical fitness value evaluation device of the said space may also include input / output devices, network access devices, a bus, etc.

[0145] The so-called processor 60 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0146] The memory 61 may be an internal storage unit of the physical fitness value evaluation device 6 of the said space, such as the hard disk or memory of the physical fitness value evaluation device 6. The memory 61 may also be an external storage device of the physical fitness value evaluation device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the physical fitness value evaluation device 6. Further, the memory 61 may also include both the internal storage unit and the external storage device of the physical fitness value evaluation device 6. The memory 61 is used to store the computer program and other programs and data required by the physical fitness value evaluation device. The memory 61 may also be used to temporarily store the data that has been output or will be output.

[0147] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to 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. Each functional unit and module in the embodiments can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0148] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0149] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in the form of hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0150] In the embodiments provided in this application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are merely illustrative. For example, the division of the module or unit is only a logical function division. In actual implementation, there may be other division methods. For example, 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 displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0151] The unit described as a separated component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0152] In addition, in each embodiment of the present application, each functional unit can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0153] If the above-mentioned 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 such an understanding, all or part of the processes in the above-mentioned embodiment methods of the present application can also be completed by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic 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.

[0154] The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, rather than limiting them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various 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; Determine the space design factor of the space to be evaluated, the space design factor includes a functional factor and a space attribute factor, the functional factor is a factor determined by the functional information of a certain space area of ​​the space to be evaluated, and the space attribute factor includes the design size parameter of the certain space area and the space area equipment information; According to the motion intensity mapping trajectory of the space to be evaluated and the space design factor, the physical energy value corresponding to the space design factor is estimated, including: determining the spatial area with the same functional factor in each of the spaces to be evaluated; determining the spatial design factor data set corresponding to each of the spatial areas, the spatial design factor data set including more than two spatial design factor vectors; determining the physical energy consumption value corresponding to the spatial design factor vector, the physical energy consumption value is estimated based on the motion intensity and duration; according to the corresponding relationship between the physical energy consumption value and the space design factor vector, the physical energy value of the space design factor is estimated, and the physical energy value of the space design factor is the influence value of the space design factor on the physical energy consumption value.

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 1, 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.

4. 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.

5. The method according to any one of claims 1 to 4, 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.

6. The method according to any one of claims 1 to 4, 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.

7. 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, wherein the space design factor includes a functional factor and a space attribute factor, wherein the functional factor is a factor determined by the functional information of a certain space area of ​​the space to be evaluated, and the space attribute factor includes a design dimension parameter of a certain space area and space area equipment information; A physical energy value estimation unit is used to estimate the physical energy value corresponding to the space design factor according to the exercise intensity mapping trajectory of the space to be evaluated and the space design factor, including: determining the spatial area with the same functional factor in each of the spaces to be evaluated; determining the spatial design factor data set corresponding to each of the spatial areas, the spatial design factor data set including more than two spatial design factor vectors; determining the physical energy consumption value corresponding to the spatial design factor vector, the physical energy consumption value is estimated based on the exercise intensity and duration; according to the corresponding relationship between the physical energy consumption value and the space design factor vector, estimating the physical energy value of the space design factor, the physical energy value of the space design factor is the influence of the space design factor on the physical energy consumption value.

8. 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 6 are implemented.

9. 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 6 are implemented.

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