CN115329438A - Scene space lighting method, computer device and medium - Google Patents
Scene space lighting method, computer device and medium Download PDFInfo
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Abstract
A method, an apparatus, a computer device, a computer readable storage medium, and a computer program product for lighting a scene space are provided. The method comprises the following steps: acquiring space data of each first function room included in the scene space, wherein the space data comprises information describing the plane shape and the area of the first function room; determining a space type between the first functions based on the space data between the first functions, wherein the space type identifies the shape attribute and the area attribute between the first functions; and determining at least one lighting position between the first functions by using a preset rule corresponding to the space type between the first functions.
Description
Technical Field
The present disclosure relates to the field of indoor design technologies, and in particular, to a method and an apparatus for lighting a scene space, a computer device, a computer-readable storage medium, and a computer program product.
Background
In the design process of the indoor space, a three-dimensional scene is generally required to show the design effect. The light source is arranged at a proper position in the scene space, so that the effect of scene space display can be improved, the displayed scene is closer to the visual effect in the implementation, and the user experience is improved.
The approaches described in this section are not necessarily approaches that have been previously conceived or pursued. Unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section. Similarly, unless otherwise indicated, the problems mentioned in this section should not be considered as having been acknowledged in any prior art.
Disclosure of Invention
It would be advantageous to provide a mechanism that alleviates, mitigates or even eliminates one or more of the above-mentioned problems.
According to an aspect of the present disclosure, there is provided a method of lighting a scene space, the scene space including at least one first functional compartment, the method including: for each first function, acquiring spatial data between the first functions, wherein the spatial data comprises information describing the plane shape and the area of the first function; determining a space type between the first functions based on the space data between the first functions, wherein the space type identifies the shape attribute and the area attribute between the first functions; and determining at least one light distribution position between the first functions by using a preset rule corresponding to the space type between the first functions.
According to an aspect of the present disclosure, there is provided a lighting device for a scene space, the scene space comprising at least one first functional compartment, the device comprising: the acquisition module is configured to acquire space data among the first functions aiming at each first function, wherein the space data comprises information describing the plane shape and the area among the first functions; a first determining module configured to determine a space type between the first functions based on the space data between the first functions, the space type identifying shape attributes and area attributes between the first functions; a second determining module configured to determine at least one lighting position between the first functions by using a preset rule corresponding to the space type between the first functions.
According to an aspect of the present disclosure, there is provided a computer device including: at least one processor; and at least one memory having a computer program stored thereon, wherein the computer program, when executed by the at least one processor, causes the at least one processor to perform the above-described method.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to carry out the above-mentioned method.
According to an aspect of the disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, causes the processor to carry out the above-mentioned method.
These and other aspects of the disclosure will be apparent from and elucidated with reference to the embodiments described hereinafter.
Drawings
Further details, features and advantages of the disclosure are disclosed in the following description of exemplary embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a schematic diagram illustrating an example system in which various methods described herein may be implemented, according to an example embodiment;
FIG. 2 is a flow chart illustrating a method of lighting a scene space;
FIG. 3 is a partial example process diagram illustrating a lighting method between first functions in a scene space;
FIG. 4 is a schematic diagram illustrating the flow of lighting between second functions in the scene space;
FIG. 5 is a block diagram illustrating the structure of a light set of a scene space;
FIG. 6 is a block diagram illustrating an exemplary computer device that can be applied to the exemplary embodiments.
Detailed Description
In the present disclosure, unless otherwise specified, the use of the terms "first", "second", etc. to describe various elements is not intended to limit the positional relationship, the timing relationship, or the importance relationship of the elements, and such terms are used only to distinguish one element from another. In some examples, a first element and a second element may refer to the same instance of the element, and in some cases, based on the context, they may also refer to different instances.
The terminology used in the description of the various described examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context clearly indicates otherwise, if the number of elements is not specifically limited, the elements may be one or more. As used herein, the term "plurality" means two or more, and the term "based on" should be interpreted as "based, at least in part, on". Further, the terms "and/or" and "… …" encompass any and all possible combinations of the listed items.
In the related art, one way is to manually perform lighting in a scene space, which is high in labor cost and low in efficiency. Another way is to manually set a certain lighting rule, and determine a lighting position for each room in the scene space based on a preset lighting rule. However, the manually set rules are simple, and different characteristics of different types of rooms cannot be considered, so that the light distribution effect is poor.
Based on the above, the present disclosure provides a scene space light distribution method, which utilizes spatial data between functions in a scene space to perform spatial classification, determines a corresponding preset light distribution rule according to a spatial type between each function, performs light distribution based on the preset light distribution rule, considers adaptation of the light distribution rule and the spatial type, and can improve light distribution effect.
Exemplary embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram illustrating an example system 100 in which various methods described herein may be implemented, according to an example embodiment.
Referring to fig. 1, the system 100 includes a client device 110, a server 120, and a network 130 communicatively coupling the client device 110 and the server 120.
The client device 110 includes a display 114 and a client Application (APP) 112 displayable via the display 114. The client application 112 may be an application that needs to be downloaded and installed before running or an applet (liteapp) that is a lightweight application. In the case where the client application 112 is an application program that needs to be downloaded and installed before running, the client application 112 may be installed on the client device 110 in advance and activated. In the case where the client application 112 is an applet, the user 102 can run the client application 112 directly on the client device 110 without installing the client application 112 by searching the client application 112 in a host application (e.g., by the name of the client application 112, etc.) or by scanning a graphical code (e.g., barcode, two-dimensional code, etc.) of the client application 112, etc. In some embodiments, client device 110 may be any type of mobile computer device, including a mobile computer, a mobile phone, a wearable computer device (e.g., a smart watch, a head-mounted device, including smart glasses, etc.), or other type of mobile device. In some embodiments, client device 110 may alternatively be a stationary computer device, such as a desktop, server computer, or other type of stationary computer device.
The server 120 is typically a server deployed by an Internet Service Provider (ISP) or Internet Content Provider (ICP). Server 120 may represent a single server, a cluster of multiple servers, a distributed system, or a cloud server providing an underlying cloud service (such as cloud database, cloud computing, cloud storage, cloud communications). It will be understood that although the server 120 is shown in fig. 1 as communicating with only one client device 110, the server 120 may provide background services for multiple client devices simultaneously.
Examples of network 130 include a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), and/or a combination of communication networks such as the Internet. The network 130 may be a wired or wireless network. In some embodiments, data exchanged over network 130 is processed using techniques and/or formats including hypertext markup language (HTML), extensible markup language (XML), and the like. In addition, all or some of the links may also be encrypted using encryption techniques such as Secure Sockets Layer (SSL), transport Layer Security (TLS), private network (VPN), internet protocol security (IPsec), and so on. In some embodiments, custom and/or dedicated data communication techniques may also be used in place of or in addition to the data communication techniques described above.
For purposes of the disclosed embodiments, in the example of fig. 1, the client application 112 may be an application for presenting a scene space that may present various types of scene spaces, such as a home, a store, and so forth. Accordingly, the server 120 may be a server used with an application for presenting a scene space. The server 120 may flood the scene space to provide the flooded scene space to the client application 112 running in the client device 110 for presentation.
Fig. 2 is a flowchart illustrating a method 200 of lighting a scene space according to an exemplary embodiment.
The method 200 may be performed at a client device (e.g., the client device 110 shown in fig. 1), i.e., the subject of execution of the various steps of the method 200 may be the client device 110 shown in fig. 1. In some embodiments, method 200 may be performed at a server (e.g., server 120 shown in fig. 1). In some embodiments, method 200 may be performed by a client device (e.g., client device 110) in combination with a server (e.g., server 120). Hereinafter, the steps of the method 200 are described in detail by taking the execution subject as the client device 110 as an example.
Referring to fig. 2, the scene space includes at least one first functional compartment, and the method 200 includes steps 210 to 230.
Therefore, the functions can be classified based on the plane shape and the area information of each function, and the light distribution position of each function is determined according to the preset light distribution rule corresponding to the space type of each function, so that the light distribution position can be matched with the space type of each function, and the light distribution effect is improved.
In some embodiments, the scene space is a virtual scene space. The scene space may also be a real scene space, which is not limited to this.
According to some embodiments, the at least one first functional compartment is a bedroom. Therefore, light distribution can be performed among a large number of functions in a scene space, and light distribution efficiency is improved. The first functional room may be of other types, such as a study room, a recreation room, etc., without limitation.
In one example, the spatial data of the scene space may be json data, which may include, for example, vertex coordinates of each functional room in a predetermined coordinate system, coordinates of a wall line, coordinates and orientation information of a door, coordinates and orientation information of furniture, coordinates and orientation information of a window, and the like. In some examples, coordinate and orientation data for items such as walls, doors, furniture, windows, etc. included in each functional compartment may each be packaged into a respective class, and the respective spatial data for each functional compartment may be packaged separately. By traversing the spatial data of the scene space, the class information among the functions included in the scene space can be traversed and extracted, and the spatial data among the functions can be obtained.
According to some embodiments, the spatial data includes vertex coordinates of the planar shape of the first functional room in a predetermined coordinate system, and the determining the type of space of the first functional room based on the spatial data of the first functional room in step 220 includes:
step 221, determining coordinates of a center point of an area between the first functions and a plane shape between the first functions in the predetermined coordinate system at least based on the vertex coordinates between the first functions;
step 222, determining the shape attribute between the first functions based on the vertex coordinates and the center point coordinates between the first functions;
step 223, determining an area attribute of the first function based on the area of the first function;
step 224, determining the space type between the first functions based on the shape attribute and the area attribute between the first functions.
Therefore, the coordinates of the center point of the first function can be determined by using the vertex coordinates of the plane shape of the first function, the shape attribute of the first function can be further accurately determined, and the accuracy of the determined space type is improved.
In some examples, step 221 may be implemented using existing tools, for example, vertex coordinates between the first functions may be input into a Shapely library to obtain the area between the first functions and center point coordinates between the first functions. In some examples, a pre-configured formula may be used to calculate the area between the first functions and the center point coordinate between the first functions based on the vertex coordinates between the first functions.
In one example, the area between the first functions and the coordinates of the center point may be determined more accurately, further in combination with other data. For example, when the outline of the planar shape between the first functions is an arc, the area between the first functions and the coordinates of the center point may be determined based on the coordinates of the vertex and the coordinates of the wall line between the first functions.
According to some embodiments, the shape attribute indicates whether the first functional space is a regular shape space, and the determining the shape attribute between the first functional spaces in step 222 based on the vertex coordinates and the center point coordinates of the first functional spaces comprises: determining the distance between each vertex coordinate and the central point coordinate; determining that the first function room is a regular shape space in response to determining that the variance of the distances between each vertex coordinate and the center point coordinate is not greater than a first preset threshold; and determining that the first function room is an irregular-shaped space in response to determining that the variance of the distances between each vertex coordinate and the center point coordinate is greater than a first preset threshold.
Thus, it is possible to efficiently and accurately indicate whether or not the first function space is a regular shape space by using the variance of the distance between each vertex and the center point between the functions. In some examples, it may also be determined by way of whether the first functional compartment is a regular shape space. For example, after determining the distances between the vertex coordinates and the center point coordinates, determining that the first function space is a regular shape space in response to determining that the range between the vertex coordinates and the center point coordinates is not greater than a preset threshold.
According to some embodiments, the area attribute indicates whether the first functional compartment is a small area space or a large area space, and the determining the area attribute of the first functional compartment based on the area of the first functional compartment in step 223 includes:
in response to determining that the area between the first functions is not greater than a second preset threshold, determining that the first functions are small-area spaces;
and in response to determining that the area of the first functional room is larger than a second preset threshold value, determining that the first functional room is a large-area space.
Therefore, the area attribute between the first functions can be indicated by using the relative size relation between the area between the functions and the preset threshold value. It should be understood that the spatial attributes between the first functions may cover multiple dimensions, and may be divided into multiple different spatial types based thereon, or further divided more finely for combinations of spatial attributes of different dimensions between the first functions, which is not limited by the present disclosure.
Fig. 3 is a partial example process diagram illustrating a lighting method between first functions in a scene space.
As shown in fig. 3, the step 220 of determining the type of the space between the first functions based on the spatial data between the first functions may be implemented by the following steps:
step 301, determining the area of a first function room and the center point coordinate of the plane shape of the first function room in a preset coordinate system;
step 302, determining the distance between each vertex coordinate of the first function and the center point coordinate;
step 303, determining the variance of the distance between each vertex coordinate and the center point coordinate;
step 304, judging whether the variance is larger than a first preset threshold value;
in response to determining that the variance is greater than a first preset threshold, performing step 305, determining whether the area is greater than a second preset threshold; further, in response to determining that the area is larger than a second preset threshold, performing step 307, determining that the first function room is a large-area irregular-shaped space; in response to determining that the area is not larger than the second preset threshold, executing step 308, determining that the first functional compartment is a small-area irregular shape space;
in response to determining that the variance is not greater than a first preset threshold, executing step 306, and determining whether the area is greater than a second preset threshold; further, in response to determining that the area is not larger than the second preset threshold, executing step 309, determining that the first function space is a small-area regular shape space; in response to determining that the area is greater than the second preset threshold, step 310 is performed to determine that the first functional compartment is a large area regular shape space.
As described previously, the spatial data between the first functions may include coordinates and orientation information of the furniture, wherein the furniture may include various light fixtures. By utilizing the position information of the main lamp, the light distribution position in the first functional room can be determined more simply, conveniently and efficiently.
Based on this, in some embodiments, the spatial data further includes information describing the presence and location of the master light fixture in the first functional room, and the type of space in the first functional room is one of: small area regular shape space, small area irregular shape space, large area regular shape space, and large area irregular shape space.
On this basis, according to some embodiments, the determining at least one lighting position between the first functions by using the preset rule corresponding to the space type between the first functions in step 230 includes: in response to determining that the first functional compartment is a small area regular shape space or a small area irregular shape space, determining whether a master luminaire is present in the first functional compartment based on the spatial data; in response to determining that a main lamp exists in the first function room, determining a set height position at the position of the main lamp as a light distribution position of the first function room; and in response to determining that no main lamp exists in the first function room, determining the set height position at the center point coordinate as the light distribution position of the first function room. Aiming at the first function room with the space type of a small-area regular shape space or a small-area irregular shape space, because the area of the first function room is smaller, the illumination requirement can be met by determining a light distribution position in the first function room by utilizing a preset rule.
In some examples, the determining the set height position at the position of the main luminaire as the lighting position of the first functional room may include: and determining the height position 20cm below the position of the main lamp as the light distribution position of the first function room. In some examples, the determining the set height position at the center point coordinate as the lighting position of the first functional room may include: the height position of 0.7H (where H = height between the first functions) at the center point coordinates is determined as the light distribution position between the first functions. It should be understood that the specific parameters in the above examples can be flexibly adjusted according to the requirements of the practical application scenario, and the present disclosure does not limit this.
According to some embodiments, the spatial data further includes information describing a position and an orientation of a door of the first functional compartment, and the determining at least one lighting position of the first functional compartment using a preset rule corresponding to a type of the space of the first functional compartment in step 230 includes: in response to the type of space between the first functional compartments being a large area regular shape space, determining whether a master luminaire is present in the first functional compartments based on the spatial data; in response to determining that a main lamp exists in the first function room, determining a set height position at the position of the main lamp as a light distribution position of the first function room; in response to determining that no main lamp exists in the first function room, determining the set height position at the center point coordinate as a light distribution position of the first function room; a set height position at a set distance from the position of the door in the direction of the door facing is determined as an additional lighting position between the first functions. For a first function room with a space type of a large-area regular-shaped space, one light distribution position cannot meet the illumination requirement of the first function room due to the large area of the first function room. By utilizing the position and orientation information of the door in the first functional room, an additional light distribution position can be determined at the preset position of the doorway, so that proper illumination of the first functional room is realized.
In some examples, the additional lighting position may be determined using the following formula:
the distance between the additional light distribution position and the door can be adjusted by adjusting the numerical value of theta so as to realize better visual effect.
According to some embodiments, the determining at least one lighting position between the first functions in step 230 by using the preset rule corresponding to the space type between the first functions comprises: in response to the type of space between the first functional rooms being a large-area irregular-shaped space, determining whether a master luminaire is present in the first functional rooms based on the spatial data; in response to determining that a plurality of master light fixtures exist in the first functional room, the set height positions of the plurality of master light fixtures at the respective positions are determined as the light distribution positions of the first functional room. Therefore, the light distribution positions in the first functional room can be determined more simply, conveniently and efficiently by using the position information of the main lamp in the first functional room.
Further, according to some embodiments, the determining at least one lighting position between the first functions by using the preset rule corresponding to the space type between the first functions in step 230 further includes: in response to determining that one master lamp exists in the first functional room, determining a set height position at the position of the one master lamp as a first lighting position of the first functional room; in response to determining that no main lamp exists in the first function room, determining the set height position at the center point coordinate as a first light distribution position of the first function room; an additional second lighting position is determined for the first function room. Therefore, the lighting requirement of the first function room with a large area can be met by determining the first light distribution position in the first function room and then determining the additional second light distribution position by utilizing the position information of the main lamp in the first function room.
According to some embodiments, determining an additional second lighting position for the first functional compartment comprises: determining a minimum rectangle containing a plane shape of the first function according to the vertex coordinates of the first function; determining at least one pit from the vertex coordinates between the first functions, the at least one pit being located inside the smallest rectangle; selecting a concave point which is closest to the first light distribution position from the at least one concave point; dividing the planar shape of the first functional room into a first part and a second part by a boundary line passing through the nearest concave point, wherein the first part comprises the first light distribution position, and the second part does not comprise the first light distribution position; determining a center point of the second portion; and determining the set height position at the central point of the second part as the second light distribution position of the first functional room. Therefore, the planar shape of the first function room can be divided into different parts, and light is distributed by using a preset rule, so that each part comprises a light distribution position, and the lighting requirement of the first function room with a larger area is met.
It should be understood that other types of functional compartments may also be included in the scene space. In some embodiments, the scene space further comprises a second functional compartment different from the at least one first functional compartment, and the method 200 further comprises: and determining at least one lighting position between the second functions by using a rule different from a preset rule between the first functions. From this, can utilize different rules of predetermineeing to cloth light to the function of different grade type within a definite time, and then make the cloth light position can with the type looks adaptation between every function, promote the cloth light effect.
According to some embodiments, the second functional room is a living room, and the determining at least one lighting location of the second functional room comprises: acquiring space data among the second functions, wherein the space data comprises vertex coordinates and wall line coordinates of the plane shape of the second functions under a preset coordinate system and area information among the second functions; acquiring position information of a plurality of random points in the second functional room based on the vertex coordinates and the wall line coordinates of the second functional room; clustering the random points based on the distance between any two random points in the random points to obtain a plurality of clustering clusters and clustering cluster centers, wherein the quotient of the area between the second functions and the number of the clustering clusters is not less than a third preset threshold value; determining at least one lighting position between the second functions based on the positions of the plurality of cluster centers.
Generally, the living room has a large area and a complicated shape. Therefore, the living room needs to be divided into a plurality of areas according to the geometric shape of the living room, and the light distribution position of each area is determined so as to meet the illumination requirement of the living room. By using the above embodiment, the problem of area division of the planar shape between the second functions can be converted into a clustering problem for a plurality of random points in the planar shape, so that the area division between the second functions can be efficiently and accurately realized, and the light distribution is performed based on the problem, so as to improve the light distribution effect.
In some examples, when the plurality of random points are clustered using a clustering algorithm, a clustering effect can be improved by specifying the number of the plurality of clustering clusters in advance. In an example, the number of the cluster clusters may be determined according to an area between the second functions, so as to ensure that an area of the region corresponding to each cluster meets a requirement, that is, the area of the illumination region corresponding to each light distribution position meets the requirement, so as to improve the light distribution effect.
In some examples, the obtaining the location information of the plurality of random points in the second functional room may include: determining a minimum rectangle containing a plane shape between the second functions according to the vertex coordinates between the second functions; acquiring position information of a plurality of initial random points in the minimum rectangle; for each of the plurality of initial random points, determining whether the initial random point is in the second functional compartment based on the vertex coordinates and the wall line coordinates of the second functional compartment.
According to some embodiments, said clustering said plurality of random points comprises: and clustering the plurality of random points by using a K-means clustering algorithm based on the distance between any two random points in the plurality of random points to obtain a plurality of cluster centers. In an example, the plurality of random points may also be clustered by using other manners based on a distance between any two random points in the plurality of random points, as long as the obtained distance between the random points of each of the plurality of clusters is relatively close, and the distance between the random points of different clusters is relatively far, which is not limited.
According to some embodiments, the determining at least one lighting position between the second functions based on the position information of the plurality of cluster centers comprises: adjusting at least one cluster center of the plurality of cluster centers by using a preset rule to obtain at least one adjusted cluster center; and determining the position of the adjusted center of the at least one cluster as at least one light distribution position of the second functional room. It should be understood that the plurality of cluster centers obtained by the unsupervised clustering method have certain randomness and cannot fully meet the requirements of practical application scenes, and the light distribution effect can be further improved by adjusting the plurality of cluster centers and distributing light based on the adjustment.
According to some embodiments, said adjusting at least one of said plurality of cluster centers using a preset rule comprises: deleting any two cluster centers in response to the fact that the distance between any two cluster centers is smaller than a fourth preset threshold value; determining a new cluster center based on the positions of a plurality of random points included in the cluster corresponding to each of the deleted two cluster centers; and adding the new cluster center. When the distance between any two cluster centers is too close, the light distribution position is determined to be too close based on the determined too close distance, and the two cluster centers are merged to determine a new cluster center again, so that the light distribution position can meet the requirements of practical application scenes.
According to some embodiments, the spatial data between the second functions further includes coordinates of a center point between the second functions, and the adjusting at least one cluster center of the plurality of cluster centers using a preset rule includes: and responding to the fact that the distance between the center of any cluster and the wall line between the second functions is smaller than a fifth preset threshold value, and moving the cluster center towards the direction of the center point between the second functions. When the distance between the center of any cluster and the wall line is too close, the light distribution position determined based on the distance is too close to the wall surface, and the illumination effect is poor. The illumination effect can be improved by adjusting the illumination device according to the preset rule.
Fig. 4 is a diagram illustrating the flow of lighting between the second functions in the scene space.
As shown in fig. 4, the process of determining at least one lighting position between the second functions may be implemented by the following steps:
and step 404, determining the position of the adjusted center of the at least one cluster as at least one light distribution position between the second functions.
After indoor light distribution is completed for the first function room and the second function room in the scene space, the natural light distribution position can be determined, so that the light distribution effect is further improved.
According to some embodiments, the spatial data between the first functions further includes position and orientation information of a window between the first functions, the spatial data between the second functions includes position and orientation information of a window between the second functions, and the method 200 further includes: determining a set height position at a set distance from the position of the window between the first functions along the direction opposite to the direction of the window between the first functions as a natural light distribution position between the first functions; and determining a set height position at a set distance from the position of the window between the second functions along the direction opposite to the direction of the window between the second functions as the natural light distribution position between the second functions.
In one example, the orientation of the window may refer to a vertical direction of an inner wall surface between the center of the window and the function, and the irradiation angle of the natural light may be adjusted by adjusting the set distance and the set height, so as to improve the irradiation effect of the natural light. Further, the light intensity of the natural light can be adjusted by using a preset rule, for example, the light intensity of the natural light can be expressed by a normal function, so that the natural light is closer to the visual effect in reality.
According to another aspect of the present disclosure, a lighting device of a scene space is also provided. Fig. 5 is a block diagram illustrating the structure of a lighting device 500 of a scene space. As shown in fig. 5, the apparatus 500 includes:
an obtaining module 510, configured to obtain, for each first function room, spatial data of the first function room, where the spatial data includes information describing a planar shape and an area of the first function room;
a first determining module 520 configured to determine a space type between the first functions based on the space data between the first functions, the space type identifying shape attributes and area attributes between the first functions;
a second determining module 530 configured to determine at least one lighting position between the first functions by using a preset rule corresponding to the space type between the first functions.
It should be understood that the various modules of the apparatus 500 shown in fig. 5 may correspond to the various steps in the method 200 described with reference to fig. 2. Thus, the operations, features and advantages described above with respect to the method 200 are equally applicable to the apparatus 500 and the modules comprised thereby. Certain operations, features and advantages may not be described in detail herein for the sake of brevity.
Although specific functionality is discussed above with reference to particular modules, it should be noted that the functionality of the various modules discussed herein may be divided into multiple modules and/or at least some of the functionality of multiple modules may be combined into a single module. Performing an action by a particular module discussed herein includes the particular module itself performing the action, or alternatively the particular module invoking or otherwise accessing another component or module that performs the action (or performs the action in conjunction with the particular module). Thus, a particular module that performs an action can include the particular module that performs the action itself and/or another module that the particular module invokes or otherwise accesses that performs the action. For example, the acquisition module 510 and the first determination module 520 may be combined into a single module in some embodiments. Also for example, the first determination module 520 may include the acquisition module 510 in some embodiments. As used herein, the phrase "entity a initiates action B" may refer to entity a issuing instructions to perform action B, but entity a itself does not necessarily perform that action B.
It should also be appreciated that various techniques may be described herein in the general context of software, hardware elements, or program modules. The various modules described above with respect to fig. 5 may be implemented in hardware or in hardware in combination with software and/or firmware. For example, the modules may be implemented as computer program code/instructions configured to be executed in one or more processors and stored in a computer readable storage medium. Alternatively, the modules may be implemented as hardware logic/circuitry. For example, in some embodiments, one or more of the acquisition module 510, the first determination module 520, and the second determination module 530 may be implemented together in a System on Chip (SoC). The SoC may include an integrated circuit chip (which includes one or more components of a Processor (e.g., a Central Processing Unit (CPU), microcontroller, microprocessor, digital Signal Processor (DSP), etc.), memory, one or more communication interfaces, and/or other circuitry), and may optionally execute received program code and/or include embedded firmware to perform functions.
According to an aspect of the disclosure, a computer device is provided that includes a memory, a processor, and a computer program stored on the memory. The computer program, when executed by the processor, causes the processor to execute the computer program to implement the steps of any of the method embodiments described above.
According to an aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the steps of any of the method embodiments described above.
According to an aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of any of the method embodiments described above.
Illustrative examples of such computer devices, non-transitory computer-readable storage media, and computer program products are described below in connection with FIG. 6.
Fig. 6 illustrates an example configuration of a computer device 600 that may be used to implement the methods described herein. For example, the server 120 and/or the client device 110 shown in fig. 1 may include an architecture similar to the computer device 600. The light distribution apparatus 500 of the scene space described above may also be implemented in whole or at least in part by a computer device 600 or similar device or system.
The computer device 600 may be a variety of different types of devices. Examples of computer device 600 include, but are not limited to: a desktop computer, a server computer, a notebook or netbook computer, a mobile device (e.g., a tablet, a cellular or other wireless telephone (e.g., a smartphone), a notepad computer, a mobile station), a wearable device (e.g., glasses, a watch), an entertainment device (e.g., an entertainment appliance, a set-top box communicatively coupled to a display device, a gaming console), a television or other display device, an automotive computer, and so forth.
The computer device 600 may include at least one processor 602, memory 604, communication interface(s) 606, display device 608, other input/output (I/O) devices 610, and one or more mass storage devices 612, capable of communicating with each other, such as through a system bus 614 or other suitable connection.
Memory 604 and mass storage device 612 are examples of computer readable storage media for storing instructions that are executed by processor 602 to implement the various functions described above. By way of example, memory 604 may generally include both volatile and nonvolatile memory (e.g., RAM, ROM, and the like). In addition, mass storage device 612 may generally include a hard disk drive, solid state drive, removable media, including external and removable drives, memory cards, flash memory, floppy disks, optical disks (e.g., CDs, DVDs), storage arrays, network attached storage, storage area networks, and the like. Memory 604 and mass storage device 612 may both be referred to herein collectively as memory or computer-readable storage media, and may be non-transitory media capable of storing computer-readable, processor-executable program instructions as computer program code that may be executed by processor 602 as a particular machine configured to implement the operations and functions described in the examples herein.
A number of programs may be stored on the mass storage device 612. These programs include an operating system 616, one or more application programs 618, other programs 620, and program data 622, which can be loaded into memory 604 for execution. Examples of such applications or program modules may include, for instance, computer program logic (e.g., computer program code or instructions) for implementing the following components/functions: client application 112, method 200, and/or method 400 (including any suitable steps of methods 200, 400), and/or further embodiments described herein.
Although illustrated in fig. 6 as being stored in memory 604 of computer device 600, modules 616, 618, 620, and 622, or portions thereof, may be implemented using any form of computer-readable media that is accessible by computer device 600. As used herein, "computer-readable media" includes at least two types of computer-readable media, namely computer-readable storage media and communication media.
Computer-readable storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Computer-readable storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information for access by a computer device. In contrast, communication media may embody computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism. Computer-readable storage media, as defined herein, does not include communication media.
One or more communication interfaces 606 are used to exchange data with other devices, such as over a network, direct connection, and the like. Such communication interfaces may be one or more of the following: any type of network interface (e.g., a Network Interface Card (NIC)), wired or wireless (such as IEEE 802.11 Wireless LAN (WLAN)) wireless interface, worldwide interoperability for microwave Access (Wi-MAX) interface, ethernet interface, universal Serial Bus (USB) interface, cellular network interface, bluetooth TM An interface, a Near Field Communication (NFC) interface, etc. The communication interface 606 may facilitate communication within a variety of networks and protocol types, including wired networks (e.g., LAN, cable, etc.) and wireless networks (e.g., WLAN, cellular, satellite, etc.), the internet, and so forth. The communication interface 606 may also provide for communication with external storage devices (not shown), such as in storage arrays, network attached storage, storage area networks, and so forth.
In some examples, a display device 608, such as a monitor, may be included for displaying information and images to a user. Other I/O devices 610 may be devices that receive various inputs from a user and provide various outputs to the user, and may include touch input devices, gesture input devices, cameras, keyboards, remote controls, mice, printers, audio input/output devices, and so forth.
The techniques described herein may be supported by these various configurations of the computer device 600 and are not limited to specific examples of the techniques described herein. For example, the functionality may also be implemented in whole or in part on a "cloud" using a distributed system. The cloud includes and/or represents a platform for resources. The platform abstracts underlying functionality of hardware (e.g., servers) and software resources of the cloud. The resources may include applications and/or data that may be used when performing computing processes on servers remote from the computer device 600. Resources may also include services provided over the internet and/or over a subscriber network such as a cellular or Wi-Fi network. The platform may abstract resources and functionality to connect the computer device 600 with other computer devices. Thus, implementations of the functionality described herein may be distributed throughout the cloud. For example, the functionality may be implemented in part on the computer device 600 and in part by a platform that abstracts the functionality of the cloud.
While the disclosure has been illustrated and described in detail in the drawings and foregoing description, such illustration and description are to be considered illustrative and exemplary and not restrictive; the present disclosure is not limited to the disclosed embodiments. Variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed subject matter, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps than those listed, the indefinite article "a" or "an" does not exclude a plurality, the term "a" or "an" refers to two or more, and the term "based on" should be construed as "based at least in part on". The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
In some examples, the at least one first functional compartment is a bedroom.
In some examples, the scene space further includes a second functional compartment different from the at least one first functional compartment, and the method further includes: and determining at least one lighting position between the second functions by using a rule different from a preset rule between the first functions.
In some examples, the second functional room is a living room, and the determining at least one lighting location of the second functional room includes: acquiring space data among the second functions, wherein the space data comprises vertex coordinates and wall line coordinates of the plane shape of the second functions under a preset coordinate system and area information among the second functions; acquiring position information of a plurality of random points in the second functional room based on the vertex coordinates and the wall line coordinates of the second functional room; clustering the plurality of random points based on the distance between any two random points in the plurality of random points to obtain a plurality of cluster clusters and cluster centers, wherein the quotient of the area between the second functions and the number of the plurality of cluster clusters is not less than a third preset threshold value; determining at least one lighting position between the second functions based on the positions of the plurality of cluster centers.
In some examples, the clustering the plurality of random points comprises: and clustering the plurality of random points by using a K-means clustering algorithm based on the distance between any two random points in the plurality of random points to obtain a plurality of cluster centers.
In some examples, the determining at least one lighting position between the second functions based on the position information of the plurality of cluster centers includes: adjusting at least one cluster center of the plurality of cluster centers by using a preset rule to obtain at least one adjusted cluster center; and determining the position of the adjusted center of the at least one cluster as at least one light distribution position of the second functional room.
In some examples, the adjusting, with a preset rule, at least one cluster center of the plurality of cluster centers includes: deleting any two cluster centers in response to the fact that the distance between any two cluster centers is smaller than a fourth preset threshold value; determining a new cluster center based on the positions of a plurality of random points included in the cluster corresponding to the deleted two cluster centers; and adding the new cluster center.
In some examples, the spatial data between the second functions further includes coordinates of a center point between the second functions, and the adjusting, using a preset rule, at least one cluster center of the plurality of cluster centers includes: and responding to the fact that the distance between the center of any cluster and the wall line between the second functions is smaller than a fifth preset threshold value, and moving the cluster center towards the direction of the center point between the second functions.
In some examples, the spatial data between the first functions further includes position and orientation information of a window between the first functions, the spatial data between the second functions includes position and orientation information of a window between the second functions, and the method further includes: determining a set height position at a set distance from the position of the window between the first functions along the direction opposite to the direction of the window between the first functions as a natural light distribution position between the first functions; and determining a set height position at a set distance from the position of the window between the second functions along the direction opposite to the direction of the window between the second functions as the natural light distribution position between the second functions.
According to another aspect of the present disclosure, there is also provided a computer device comprising: at least one processor; and at least one memory having a computer program stored thereon, wherein the computer program, when executed by the at least one processor, causes the at least one processor to perform the above-described method of lighting a scene space.
According to another aspect of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to execute the above-mentioned method of lighting a scene space.
According to another aspect of the present disclosure, there is also provided a computer program product comprising a computer program which, when executed by a processor, causes the processor to perform the above-mentioned method of lighting a scene space.
Claims (10)
1. A method of lighting a scene space, the scene space comprising at least one first functional compartment, the method comprising:
for each first function, acquiring spatial data between the first functions, wherein the spatial data comprises information describing the plane shape and the area of the first function;
determining a space type between the first functions based on the space data between the first functions, wherein the space type identifies the shape attribute and the area attribute between the first functions;
and determining at least one lighting position between the first functions by using a preset rule corresponding to the space type between the first functions.
2. The method of claim 1, wherein the spatial data includes vertex coordinates of a planar shape of the first functional compartment in a predetermined coordinate system, and the determining the type of space of the first functional compartment based on the spatial data of the first functional compartment includes:
determining coordinates of a center point of an area between the first functions and a plane shape between the first functions in the predetermined coordinate system at least based on coordinates of a vertex between the first functions;
determining shape attributes between the first functions based on the vertex coordinates and the center point coordinates between the first functions;
determining an area attribute between the first functions based on the area between the first functions;
a spatial type between the first functions is determined based on the shape attribute and the area attribute between the first functions.
3. The method of claim 2, wherein the shape attribute indicates whether the first functional compartment is a regular shape space, and the determining the shape attribute of the first functional compartment based on the vertex coordinates and the center point coordinates of the first functional compartment comprises:
determining the distance between each vertex coordinate and the center point coordinate;
determining that the first function room is a regular shape space in response to determining that the variance of the distances between each vertex coordinate and the center point coordinate is not greater than a first preset threshold;
and determining that the first function room is an irregular-shaped space in response to determining that the variance of the distances between each vertex coordinate and the center point coordinate is greater than a first preset threshold.
4. The method of claim 2, wherein the area attribute indicates whether the first inter-function is a small area space or a large area space, and the determining the area attribute between the first functions based on the area between the first functions comprises:
in response to determining that the area between the first functions is not greater than a second preset threshold, determining that the first functions are small-area spaces;
in response to determining that the area between the first functions is greater than a second predetermined threshold, determining that the first function is a large area space.
5. The method of claim 2, wherein the spatial data further includes information describing the presence and location of a master light fixture in the first functional room, and the type of space in the first functional room is one of: small area regular shape space, small area irregular shape space, large area regular shape space, and large area irregular shape space.
6. The method of claim 5, wherein determining at least one lighting position between the first functions by using a predetermined rule corresponding to a space type between the first functions comprises:
in response to determining that the first functional compartment is a small area regular shape space or a small area irregular shape space, determining whether a master luminaire is present in the first functional compartment based on the spatial data;
in response to determining that a main lamp exists in the first function room, determining a set height position at the position of the main lamp as a light distribution position of the first function room;
and in response to determining that no main lamp exists in the first function room, determining the set height position at the center point coordinate as the light distribution position of the first function room.
7. The method of claim 5, wherein the spatial data further includes information describing a location and orientation of a door of the first functional compartment, and the determining at least one lighting location of the first functional compartment using a predetermined rule corresponding to a type of space of the first functional compartment comprises:
in response to the type of space between the first functional compartments being a large area regular shape space, determining whether a master luminaire is present in the first functional compartments based on the spatial data;
in response to determining that a main lamp exists in the first function room, determining a set height position at the position of the main lamp as a light distribution position of the first function room;
in response to determining that no main lamp exists in the first function room, determining the set height position at the center point coordinate as a light distribution position of the first function room;
a set height position at a set distance from the position of the door in the direction of the door facing is determined as an additional lighting position between the first functions.
8. The method of claim 5, wherein determining at least one lighting position between the first functions by using a predetermined rule corresponding to a space type between the first functions comprises:
in response to the type of space between the first functional rooms being a large-area irregular-shaped space, determining whether a master luminaire is present in the first functional rooms based on the spatial data;
in response to determining that a plurality of master light fixtures exist in the first functional room, the set height positions of the plurality of master light fixtures at the respective positions are determined as the light distribution positions of the first functional room.
9. The method of claim 8, wherein determining at least one lighting position between the first functions using a predetermined rule corresponding to a space type between the first functions further comprises:
in response to determining that one master lamp exists in the first functional room, determining a set height position at the position of the one master lamp as a first lighting position of the first functional room;
in response to determining that no main lamp exists in the first function room, determining the set height position at the center point coordinate as a first light distribution position of the first function room;
an additional second lighting position is determined for the first function room.
10. The method of claim 9, wherein said determining an additional second lighting location for the first function room comprises:
determining a minimum rectangle containing a plane shape of the first function according to the vertex coordinates of the first function;
determining at least one pit from the vertex coordinates between the first functions, the at least one pit being located inside the smallest rectangle;
selecting a concave point which is closest to the first light distribution position from the at least one concave point;
dividing the planar shape of the first functional room into a first part and a second part by a boundary line passing through the nearest concave point, wherein the first part comprises the first light distribution position, and the second part does not comprise the first light distribution position;
determining a center point of the second portion;
and determining the set height position at the central point of the second part as the second light distribution position of the first functional room.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180302975A1 (en) * | 2015-10-12 | 2018-10-18 | Delight Innovative Technologies Limited | Method and System for Automatically Implementing Lighting Control Scene |
| CN109960850A (en) * | 2019-02-20 | 2019-07-02 | 江苏艾佳家居用品有限公司 | A kind of method and system calculating indoor panorama sketch collection point and roof lamps and lanterns layout |
| CN111145333A (en) * | 2019-12-11 | 2020-05-12 | 江苏艾佳家居用品有限公司 | Indoor scene illumination layout method |
| CN111611726A (en) * | 2020-06-22 | 2020-09-01 | 广州极点三维信息科技有限公司 | Automatic indoor scene lighting method and related device |
| CN113420501A (en) * | 2021-06-10 | 2021-09-21 | 南京邮电大学 | Improved artificial neural network indoor light source layout method |
-
2022
- 2022-08-25 CN CN202211028624.5A patent/CN115329438B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180302975A1 (en) * | 2015-10-12 | 2018-10-18 | Delight Innovative Technologies Limited | Method and System for Automatically Implementing Lighting Control Scene |
| CN109960850A (en) * | 2019-02-20 | 2019-07-02 | 江苏艾佳家居用品有限公司 | A kind of method and system calculating indoor panorama sketch collection point and roof lamps and lanterns layout |
| CN111145333A (en) * | 2019-12-11 | 2020-05-12 | 江苏艾佳家居用品有限公司 | Indoor scene illumination layout method |
| CN111611726A (en) * | 2020-06-22 | 2020-09-01 | 广州极点三维信息科技有限公司 | Automatic indoor scene lighting method and related device |
| CN113420501A (en) * | 2021-06-10 | 2021-09-21 | 南京邮电大学 | Improved artificial neural network indoor light source layout method |
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