CN115099675B - Layout planning method for fitness place - Google Patents
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Abstract
The invention relates to the technical field of planning management, in particular to a layout planning method for a fitness place. The method comprises the following steps: calculating a first distance from each of the exercise devices to the entrance of the exercise facility; performing multiple clustering on the first distance by using different clustering characteristics, constructing a three-dimensional coordinate system by using the clustering characteristics as coordinate axes, and selecting an initial region in the three-dimensional coordinate system; obtaining a distance evaluation index of a clustering result corresponding to each coordinate point in an initial area; when the minimum distance evaluation index is larger than the evaluation threshold, selecting two sets to be adjusted which enable the distance evaluation index to be maximum from the clustering results corresponding to the minimum distance evaluation index; respectively selecting one element from the two sets to be adjusted to pair, exchanging the two paired elements, calculating the space change condition after exchanging, selecting the corresponding paired element when the space change condition is maximum to exchange, and calculating the distance evaluation index again until the distance evaluation index is smaller than the evaluation threshold. The embodiment of the invention can improve the space utilization rate of the fitness place.
Description
Technical Field
The invention relates to the technical field of planning management, in particular to a layout planning method for a fitness place.
Background
The fitness places are generally used for exercise activities or fitness rehabilitation, relatively complete fitness equipment and fitness entertainment projects can be equipped, and professional coaches can be used for guiding the relatively professional fitness places such as gymnasiums and the like, so that the fitness environment is good.
For fitness places with more fitness equipment, if the fitness equipment is not planned in advance or is unreasonably planned when being installed, the use range of some fitness equipment is too large, the periphery is spacious, and the space utilization rate is not high; or some fitness equipment is too crowded and is easy to collide when the fitness equipment is used, so that people are injured.
Disclosure of Invention
In order to solve the above technical problems, the present invention aims to provide a layout planning method for a fitness place, which adopts the following technical scheme:
the embodiment of the invention provides a layout planning method for a gymnasium, which comprises the following steps:
obtaining the position of each fitness device, and calculating a first distance from each fitness device to an entrance of a fitness site;
carrying out multiple clustering on the first distance by using different clustering characteristics, constructing a three-dimensional coordinate system by using the clustering characteristics as coordinate axes, and selecting an initial region in the three-dimensional coordinate system; the clustering characteristics comprise clustering radius, minimum clustering density and the number of clustering sets;
acquiring all cluster sets in the cluster results corresponding to each coordinate point in the initial region, calculating a second distance between each element in each cluster set and the closest element, and obtaining a distance evaluation index of each cluster result according to the second distance;
when the minimum distance evaluation index is larger than an evaluation threshold value, cluster sets are selected one by one from the cluster results corresponding to the minimum distance evaluation index to be removed, and two sets to be adjusted which enable the distance evaluation index to be maximum are selected;
respectively selecting one element from the two sets to be adjusted to pair, exchanging the two paired elements, calculating the space change condition after the exchange, selecting the corresponding paired element to exchange when the space change condition is maximum, and calculating the distance evaluation index again until the distance evaluation index is smaller than the evaluation threshold; the spatial variation condition is a difference value between spatial equilibrium variation and spatial saturation variation.
Preferably, the position of the exercise device is obtained by the following method:
and acquiring a panoramic image of the fitness place, performing semantic segmentation on the panoramic image, and taking the mass center of a connected domain where each fitness device is located in the semantic segmented image as the position of the fitness device.
Preferably, the first distance is calculated by:
mapping the location of the portal into the semantically segmented image, calculating a first distance between the location of the centroid corresponding to each of the exercise devices and the location of the portal mapped into the semantically segmented image.
Preferably, the selection method of the initial region comprises the following steps:
and mapping the coordinate points in the three-dimensional coordinate system to the coordinate axes, then taking a quartile of the values on the coordinate axes corresponding to the number of the clustering sets, and taking the region formed by the coordinate axes between the upper quartile and the lower quartile and the other two planes as the initial region.
Preferably, the method for obtaining the distance evaluation index includes:
calculating the standard deviation and the average value of all the second distances in each cluster set; and taking the ratio of the standard deviation and the average value corresponding to each clustering set as a preliminary evaluation index of the clustering set, wherein the variance of all the preliminary evaluation indexes is a distance evaluation index of the clustering result.
Preferably, the selection method of the set to be adjusted is as follows:
removing a cluster set each time, and calculating a second distance evaluation index of the cluster result after the cluster set is removed; and calculating the difference value between the minimum distance evaluation index and each second distance evaluation index, and taking two removed cluster sets respectively corresponding to the maximum difference value and the second maximum difference value as the set to be adjusted.
Preferably, the method for acquiring the spatial equilibrium variation includes:
and calculating the space balance degree before and after the interchange according to the floor areas of the fitness equipment corresponding to the two paired elements, and performing difference to obtain the space balance change.
Preferably, the method for acquiring the spatial saturation change includes:
and establishing a polar coordinate system by taking the outlet of the fitness place as a coordinate origin, mapping the mass centers of the fitness equipment corresponding to the elements in the set to be adjusted into the polar coordinate system, selecting a maximum polar diameter, a minimum polar diameter, a maximum polar angle and a minimum polar angle, further obtaining the space saturation before and after interchange, and subtracting the space saturation to obtain the space saturation change.
The embodiment of the invention at least has the following beneficial effects:
and finding two sets to be adjusted which enable the distance evaluation index to be maximum according to the clustering result of the first distance, and exchanging elements in the sets to be adjusted to enable the distance evaluation index to be smaller than an evaluation threshold value, wherein space utilization is balanced at the moment, and the layout mode is reasonable. The embodiment of the invention can improve the overall utilization rate of the fitness equipment in the fitness place and avoid the crowding or idle equipment nearby the fitness equipment. Meanwhile, the layout optimization strategy of the gymnasium facilities can be obtained only through simulation calculation, the actual equipment does not need to be moved and adjusted flow by flow, and more cost is saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart illustrating steps of a method for planning a layout of a fitness site according to an embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the method for planning the layout of exercise places according to the present invention, its specific implementation, structure, features and effects will be provided in conjunction with the accompanying drawings and the preferred embodiments. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of the method for planning the layout of the fitness place provided by the invention in detail with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of steps of a method for planning a layout of a fitness site according to an embodiment of the present invention is shown, the method including the steps of:
step S001, the position of each fitness device is obtained, and a first distance from each fitness device to an entrance of the fitness site is calculated.
The method comprises the following specific steps:
1. a position of the exercise device is obtained.
And acquiring a panoramic image of the fitness place, performing semantic segmentation on the panoramic image, and taking the mass center of a connected domain where each fitness device is located in the semantic segmented image as the position of the fitness device.
The method comprises the steps of mapping images collected by multi-position cameras with fixed poses onto a ground plane through projection transformation, enabling the multi-position cameras to have coincident regions, calculating homography matrixes among the cameras based on feature description points of the coincident regions, enabling images of all the cameras to be projected on the same ground plane through the homography matrixes, and then performing image splicing operation to obtain panoramic images of fitness places with overlooking visual angles.
And obtaining a semantic segmentation image of the panoramic image through a semantic segmentation network, wherein the single connected domain centroid point of each category of pixel points corresponds to the position of one body-building device.
2. A first distance is calculated.
The location of the portal is mapped into the semantically segmented image, and a first distance between the centroid location corresponding to each fitness device and the location of the portal mapped into the semantically segmented image is calculated.
Obtaining the mapping position of the entrance position in the panoramic semantic segmentation graph to obtain the position of the connected domain centroid of each fitness equipment and the first distance of the entrance position
，
Denotes the first
And (4) a facility.
S002, performing multiple clustering on the first distance by using different clustering characteristics, constructing a three-dimensional coordinate system by using the clustering characteristics as coordinate axes, and selecting an initial region in the three-dimensional coordinate system; the cluster characteristics include cluster radius, minimum cluster density, and number of cluster sets.
The method comprises the following specific steps:
1. and performing multiple clustering on the first distance by using different clustering characteristics, and constructing a three-dimensional coordinate system by using the clustering characteristics as coordinate axes.
Will be provided with
According to the size arrangement, various clustering is carried out on all the first distances by utilizing different clustering characteristics through a DBSCAN density clustering algorithm, and the value range of the clustering radius is
The minimum density is in the range of
。
Wherein, W is the width of the semantic segmentation image, H is the height of the semantic segmentation image, and N is a positive integer and is set according to the actual situation.
It should be noted that the minimum density is an integer.
As an example, N is taken to be 40 in the embodiment of the present invention.
And (4) constructing a three-dimensional coordinate system, wherein the coordinate axes are the clustering radius, the minimum density and the number of the clustered sets respectively. Each classification result is a coordinate point in a three-dimensional coordinate system.
2. An initial region in a three-dimensional coordinate system is selected.
Specifically, coordinate points in a three-dimensional coordinate system are mapped to coordinate axes, then quartiles are taken for values on the coordinate axes corresponding to the number of the cluster sets, and an area formed by the coordinate axes between the upper quartile and the lower quartile and the other two planes is used as an initial area.
And for the coordinate points contained in the initial region, each coordinate point corresponds to one clustering result.
And S003, acquiring all cluster sets in the clustering results corresponding to each coordinate point in the initial region, calculating a second distance between each element in each cluster set and the closest element, and obtaining a distance evaluation index of each clustering result according to the second distance.
Specifically, the standard deviation of all the second distances in each cluster set is calculated
And average value
(ii) a Using the ratio of standard deviation and mean value corresponding to each cluster set
And as a preliminary evaluation index of the clustering set, the variance of all the preliminary evaluation indexes is a distance evaluation index of the clustering result.
To be provided with
As an index for evaluating the distance,
the number of the cluster sets in the clustering result is shown.
Wherein
To represent
The variance of (c).
And step S004, when the minimum distance evaluation index is larger than the evaluation threshold value, selecting the cluster sets one by one from the cluster results corresponding to the minimum distance evaluation index to remove, and selecting the two to-be-adjusted sets which enable the distance evaluation index to be maximum.
The method comprises the following specific steps:
1. and selecting a clustering result to be processed.
Selecting the clustering result with the minimum distance evaluation index as the clustering result to be processed, and judging the distance evaluation index of the clustering result to be processed
Not less than the evaluation threshold
Determining that simulation optimization is needed; otherwise, simulation optimization is not needed, and the current layout is reasonable.
2. And selecting a set to be adjusted in the clustering results to be processed.
Specifically, cluster sets are selected one by one to be removed, one cluster set is removed each time, and a second distance evaluation index of a clustering result after the cluster set is removed is calculated; and calculating the difference value between the minimum distance evaluation index and each second distance evaluation index, and combining two rejected cluster sets respectively corresponding to the maximum difference value and the second maximum difference value as a set to be adjusted.
As an example, when the first set is selected for rejection, the second distance evaluation index
Sequentially calculating a second distance evaluation index when each cluster set is eliminated
. Will be provided with
Arranged in order of magnitude and selected
And taking the corresponding set as a set to be adjusted.
Step S005, respectively selecting one element from the two sets to be adjusted to pair, exchanging the two paired elements, calculating the space change condition after the exchange, selecting the corresponding paired element to exchange when the space change condition is maximum, and calculating the distance evaluation index again until the distance evaluation index is smaller than the distance threshold; the spatial variation condition is the difference between the spatial equilibrium variation and the spatial saturation variation.
Note that, for the selected oneTwo sets to be adjusted, one set is selected from the two sets to be paired, and the number of elements in the two sets to be adjusted is set as
And
then it is shared
And (4) pairing.
The method comprises the following specific steps:
1. computing spatial equilibrium variations
And calculating the space balance degree before and after the interchange according to the floor areas of the fitness equipment corresponding to the two paired elements, and performing difference to obtain the space balance change.
The floor areas of the fitness facilities corresponding to the elements in the initial two sets are respectively set as
And
the changed floor area after exchanging the paired two elements is set as
And
the spatial balance before and after the change is
、
The change of the spatial equalization degree is expressed as
。
2. Computing spatial saturation changes
And establishing a polar coordinate system by taking the outlet of the fitness place as the origin of coordinates, mapping the mass centers of the fitness equipment corresponding to the elements in the set to be adjusted into the polar coordinate system, selecting the maximum polar diameter, the minimum polar diameter, the maximum polar angle and the minimum polar angle, further obtaining the space saturation before and after interchange, and subtracting the space saturation to obtain the space saturation change.
Taking the exit point as the origin of a polar coordinate system, the centroid point of each facility area can be mapped as one point in the polar coordinate system, and for a single set to be adjusted, the maximum polar diameter exists
And minimum diameter
Is set to
And
(ii) a There is a maximum polar angle
And minimum polar angle
Is set to
And
. Further, for the two sets to be adjusted, the spatial saturation before change is expressed as
Wherein, in the step (A),
represents the maximum pole diameter of the 1 st set to be adjusted,
representing the maximum pole diameter of the 2 nd set to be adjusted;
represents the minimum radius of the 1 st set to be adjusted,
representing the minimum diameter of the 2 nd set to be adjusted;
represents the maximum polar angle of the 1 st set to be adjusted,
represents the maximum polar angle of the 2 nd set to be adjusted;
represents the minimum polar angle of the 1 st set to be adjusted,
the minimum polar angle of the 2 nd set to be adjusted is indicated.
Calculated in the same way after change
Then the spatial saturation change is expressed as
. The spatial variation condition is
。
3. And optimizing the layout of the fitness place.
And selecting corresponding pairing elements to be interchanged when the space change condition is maximum, and calculating the distance evaluation index again until the distance evaluation index is smaller than the evaluation threshold value.
Selecting the time when the spatial variation is maximum
Corresponding pairing elements are exchanged, the distance evaluation index of the exchanged clustering result is calculated again, and if the new distance evaluation index is smaller than the evaluation threshold value
At the moment, the equipment layout of the fitness place is reasonable, and the interchange scheme can be implemented; if the new distance evaluation index is still greater than or equal to the evaluation threshold value
Then, step S004 and step S005 are repeated until the distance evaluation index is smaller than the evaluation threshold value.
In summary, the embodiment of the present invention obtains the location of each fitness device, and calculates the first distance from each fitness device to the entrance of the fitness site; performing multiple clustering on the first distance by using different clustering characteristics, constructing a three-dimensional coordinate system by using the clustering characteristics as coordinate axes, and selecting an initial region in the three-dimensional coordinate system; the clustering characteristics comprise clustering radius, minimum clustering density and the number of clustering sets; acquiring all cluster sets in the cluster results corresponding to each coordinate point in the initial region, calculating a second distance between each element in each cluster set and the closest element, and obtaining a distance evaluation index of each cluster result according to the second distance; when the minimum distance evaluation index is larger than the evaluation threshold value, cluster sets are selected one by one from the cluster results corresponding to the minimum distance evaluation index to be removed, and two sets to be adjusted which enable the distance evaluation index to be maximum are selected; respectively selecting one element from two sets to be adjusted to pair, exchanging the two paired elements, calculating the space change condition after the exchange, selecting the corresponding paired element to exchange when the space change condition is maximum, and calculating the distance evaluation index again until the distance evaluation index is smaller than the evaluation threshold; the spatial variation condition is the difference between the spatial equilibrium variation and the spatial saturation variation. The embodiment of the invention can improve the space utilization rate of the fitness place.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (5)
1. A layout planning method for a fitness center is characterized by comprising the following steps:
obtaining the position of each fitness device, and calculating a first distance from each fitness device to an entrance of a fitness site;
carrying out multiple clustering on the first distance by using different clustering characteristics, constructing a three-dimensional coordinate system by using the clustering characteristics as coordinate axes, and selecting an initial region in the three-dimensional coordinate system; the clustering characteristics comprise clustering radius, minimum clustering density and the number of clustering sets;
acquiring all cluster sets in the cluster results corresponding to each coordinate point in the initial region, calculating a second distance between each element in each cluster set and the element closest to the element, and obtaining a distance evaluation index of each cluster result according to the second distance;
when the minimum distance evaluation index is larger than an evaluation threshold value, cluster sets are selected one by one from the cluster results corresponding to the minimum distance evaluation index to be removed, and two sets to be adjusted which enable the distance evaluation index to be maximum are selected;
respectively selecting one element from the two sets to be adjusted to pair, exchanging the two paired elements, calculating the space change condition after exchanging, selecting the corresponding paired element to exchange when the space change condition is maximum, and calculating the distance evaluation index again until the distance evaluation index is smaller than the evaluation threshold; the space change condition is the difference value of space equilibrium change and space saturation change;
the selection method of the set to be adjusted comprises the following steps:
rejecting a cluster set every time, and calculating a second distance evaluation index of a cluster result after the cluster set is rejected; calculating a difference value between the minimum distance evaluation index and each second distance evaluation index, and taking two removed cluster sets respectively corresponding to the maximum difference value and the second maximum difference value as the set to be adjusted;
the method for acquiring the space balance change comprises the following steps:
calculating the space balance degree before and after the interchange according to the floor areas of the fitness equipment corresponding to the two paired elements respectively, and subtracting to obtain the space balance change;
the method for acquiring the space saturation change comprises the following steps:
and establishing a polar coordinate system by taking the outlet of the fitness place as a coordinate origin, mapping the mass centers of the fitness equipment corresponding to the elements in the set to be adjusted into the polar coordinate system, selecting a maximum polar diameter, a minimum polar diameter, a maximum polar angle and a minimum polar angle, further obtaining the space saturation before and after interchange, and subtracting the space saturation to obtain the space saturation change.
2. The method of claim 1, wherein the location of the exercise device is obtained by:
and acquiring a panoramic image of the fitness place, performing semantic segmentation on the panoramic image, and taking the center of mass of a connected domain where each fitness device is located in the semantic segmented image as the position of the fitness device.
3. The method of claim 2, wherein the first distance is calculated by:
mapping the location of the portal into the semantically segmented image, calculating a first distance between the location of the centroid corresponding to each of the exercise devices and the location of the portal mapped into the semantically segmented image.
4. The method of claim 1, wherein the initial region is selected by:
and mapping the coordinate points in the three-dimensional coordinate system to the coordinate axes, then taking a quartile of the values on the coordinate axes corresponding to the number of the clustering sets, and taking the region formed by the coordinate axes between the upper quartile and the lower quartile and the other two planes as the initial region.
5. The method according to claim 1, wherein the distance evaluation index is obtained by:
calculating the standard deviation and the average value of all the second distances in each cluster set; and taking the ratio of the standard deviation and the average value corresponding to each clustering set as a preliminary evaluation index of the clustering set, wherein the variance of all the preliminary evaluation indexes is a distance evaluation index of the clustering result.
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