CN117440554B - Scene modeling method and system for realizing LED light source based on digitization - Google Patents
Scene modeling method and system for realizing LED light source based on digitization Download PDFInfo
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Abstract
The invention relates to the technical field of LED light source scene modeling, and discloses a scene modeling method and a scene modeling system for realizing an LED light source based on digitization, wherein the method comprises the following steps: initializing an LED light source scene set in a target room; calculating the illuminance uniformity value of each LED light source scene; reverse learning is carried out according to the illuminance uniformity value, and a target scene set is generated; performing global search and local search on the target scene set to obtain an initial scene layout, and optimizing the target scene set based on the initial scene layout to obtain an optimized LED light source scene; constructing an optical communication node network for optimizing the LED light source scene, and performing node screening on the optical communication node network to obtain a target node network; and carrying out scene modeling of the LED light source according to the target node network to obtain a target LED light source scene in the target room. The invention can improve the stability of indoor optical communication.
Description
Technical Field
The invention relates to the technical field of LED light source scene modeling, in particular to a scene modeling method and system for realizing an LED light source based on digitization.
Background
With the popularization of the internet of things and the rapid development of smart cities, the life style of people is continuously changed to intelligence, and various industries are pursuing communication services with higher speed and lower time delay. Currently, the accelerated development and commercialization of 5G has led to an exponential increase in global mobile data traffic. On the other hand, the primary demand of the user terminal for data traffic is gradually shifted from outdoor to indoor environments. Along with the popularization of machine learning and biological recognition technologies, the risk of deciphering encryption at a traditional application layer is greatly improved, and the safety protection requirement of people on communication data is higher and higher. Therefore, the problems of shortage of frequency band resources, low safety, electromagnetic interference and the like, and future competitive research on the 6G field are developed, so that the limitation of radio frequency wireless communication is increasingly revealed. In order to meet the demands of users, realize higher-rate and larger-capacity transmission, solve the current problems of 'radio frequency (RadioFrequency, RF) spectrum crisis', researchers begin to search for higher-frequency-band communication, including millimeter wave frequency band, terahertz frequency band, visible light frequency band, and the like. The visible light frequency band has abundant spectrum resources and is concerned by academic circles, and the visible light communication (Visible Light Communication, VLC) technology combines optical communication and radio communication, utilizes light in the visible light frequency band as a carrier, and can effectively meet the requirements and solve the problem of RF spectrum saturation in the current world along with the vigorous development of the light-emitting diode (Light Emitting Diode, LED) technology.
In view of many advantages of the visible light communication, research on the field of the visible light communication is getting more and more attention in view of the current situation that RF spectrum resources are tense. Heretofore, for special scenes such as outdoor, mine, underwater and the like, researchers have made a great deal of research on visible light communication, and because the main requirement of the internet access amount of the user terminal at present occurs in an indoor environment, and an indoor visible light communication system is used as a main application scene in VLC, and the channel of the indoor visible light communication system is an abstract expression mode for transmitting signals in a physical environment, accurate channel modeling and research on characteristics are important for developing an efficient and reliable communication system and analyzing and optimizing system performance. In indoor VLC, the layout and parameters of the LED array affect the received light power, and thus affect the communication quality of the receiving plane, and affect the fairness of the user communication. Therefore, how to reasonably optimize and model the array layout of the LED light sources to improve the uniformity of the received light power and realize stable communication becomes a problem to be solved.
Disclosure of Invention
The invention provides a scene modeling method and a scene modeling system for realizing an LED light source based on digitization, which mainly aim at the problem of poor indoor optical communication stability.
In order to achieve the above object, the present invention provides a scene modeling method for realizing an LED light source based on digitization, including:
acquiring indoor optical communication parameters in a target room, constructing an indoor optical communication model according to the indoor optical communication parameters, and initializing an LED light source scene set based on the indoor optical communication model;
calculating an illuminance uniformity value of each LED light source scene in the LED light source scene set, and performing reverse learning on the LED light source scene set according to the illuminance uniformity value to generate a target scene set of the LED light source scene set;
performing global search and local search on the target scene set to obtain an initial scene layout of each target scene in the target scene set, and optimizing the target scene set based on the initial scene layout to obtain an optimized LED light source scene corresponding to the indoor light communication model;
constructing an optical communication node network of the indoor optical communication model based on the optimized LED light source scene, and screening nodes of the optical communication node network to obtain a target node network;
and modeling the scene of the LED light source in the target room according to the target node network to obtain a target LED light source scene in the target room.
Optionally, the building an indoor optical communication model according to the indoor optical communication parameters includes:
initializing a three-dimensional coordinate system, and determining object feature point coordinates in the indoor optical communication parameters according to the three-dimensional coordinate system;
and constructing an object model according to the object feature point coordinates, and performing three-dimensional modeling according to the object model to obtain indoor optical communication modeling.
Optionally, the calculating the illuminance uniformity value of each LED light source scene in the set of LED light source scenes includes:
dividing the LED light sources in each LED light source scene into sight distance light sources and non-sight distance light sources;
calculating the line-of-sight illuminance of the line-of-sight light source and calculating the non-line-of-sight illuminance of the non-line-of-sight light source;
calculating the total illuminance of each LED light source scene according to the sight distance illuminance and the non-sight distance illuminance, and determining the minimum illuminance and the maximum illuminance in the sight distance illuminance and the non-sight distance illuminance;
and calculating the illuminance uniformity value of each LED light source scene according to the total illuminance, the illuminance minimum value and the illuminance maximum value.
Optionally, the calculating the line-of-sight illuminance of the line-of-sight light source includes:
calculating the line-of-sight illuminance of the line-of-sight light source using the formula:
,/>
Wherein,indicate->Distance light source to->The line-of-sight illuminance of the individual photo receivers, +.>Indicate->Preset conversion coefficient of individual line-of-sight light sources, +.>Indicate->Preset emission power of individual line-of-sight light sources, +.>Indicate->Distance light source to->Emergence angle of the individual photo-receivers, +.>Indicate->Distance light source to->Incidence angle of the individual photo receivers, +.>Indicate->Distance light source to->Euclidean distance of the individual photo receivers.
Optionally, the calculating the non-line-of-sight illuminance of the non-line-of-sight light source includes:
acquiring the wall reflectivity of the reflecting wall irradiated by the non-line-of-sight light source;
calculating Euclidean distance from the non-line-of-sight light source and a preset photoelectric receiver to a random point in the reflecting wall surface and a reflecting angle of the random point;
calculating non-line-of-sight illuminance of the non-line-of-sight light source according to the wall surface reflectivity, the Euclidean distance and the reflection angle;
calculating the non-line-of-sight illuminance of the non-line-of-sight light source using the formula:
wherein,indicate->Non-line-of-sight light source to +.>Non-line-of-sight illumination of the individual photo-receivers, < >>Representing the emissivity of the wall surface,/->Indicate->Individual non-line-of-sight light sources to a random point +. >Emergence angle of->Representing random dot +.>To->Incidence angle of the individual photo receivers, +.>Indicate->Individual non-line-of-sight light sources to a random point +.>Incident angle of>Representing random points/>To->Emergence angle of the individual photo-receivers, +.>、/>Indicate->Preset conversion coefficient and preset emission power of the non-line-of-sight light source, < >>Indicate->Individual line-of-sight light sources to random points +.>European distance,/, of->Representing random dot +.>To->Euclidean distance of the individual photo receivers, < >>Representing random dot +.>The infinitesimal of the reflective wall surface.
Optionally, the reverse learning is performed on the LED light source scene set according to the illuminance uniformity value, and generating a target scene set of the LED light source scene set includes:
selecting an optimized scene set from the LED light source scene set according to the illuminance uniformity value;
learning each optimization scene in the optimization scene set to obtain a learning scene set;
each optimization scenario in the set of optimization scenarios is learned using the following formula:
wherein,indicate->Learning scenario of individual optimization scenario, +.>Representing a preset learning factor->LED light source scene corresponding to minimum value of illumination uniformity value>LED light source scene corresponding to maximum value of illumination uniformity value, < - >Indicate->Optimizing scenes;
collecting the optimized scene set and the learning scene set to obtain an updated LED light source scene set, and calculating an updated illuminance uniformity value of each LED light source scene in the updated LED light source scene set;
and selecting a target scene set from the updated LED light source scene set according to the updated illuminance uniformity value.
Optionally, the optimizing the target scene set based on the initial scene layout to obtain an optimized LED light source scene corresponding to the indoor optical communication model includes:
taking the initial scene layout as an initial particle swarm, and initializing initial optimization parameters;
performing population optimization on the initial particle swarm according to the initial optimization parameters to obtain an optimized scene layout set;
and calculating the uniform value of the layout illumination of each optimized scene layout in the optimized scene layout set, and selecting the optimized scene layout corresponding to the maximum value of the uniform value of the layout illumination as an optimized LED layout scene.
Optionally, the node screening of the optical communication node network to obtain a target node network includes:
performing two-dimensional mapping on the optical communication node network to obtain a two-dimensional node network;
Acquiring neighbor nodes and node perception radii of each node in the two-dimensional node network;
calculating redundant intersection areas between the nodes and each neighbor node according to the neighbor nodes and the node perception radius;
and screening nodes in the optical communication node network according to the redundant intersection area to obtain a target node network.
Optionally, the calculating the redundant intersection area between the node and each neighboring node according to the neighboring node and the node perceived radius includes:
the redundant intersection area is calculated using the following formula:
wherein,indicate->Personal node and->Redundant intersection area between neighboring nodes, +.>Indicate->Node perceived radius of individual node, +.>Indicate->Personal node and->Euclidean distance between neighboring nodes.
In order to solve the above problems, the present invention further provides a scene modeling system based on digital implementation of an LED light source, the system comprising:
the initialization LED light source scene set module is used for acquiring indoor optical communication parameters in a target room, constructing an indoor optical communication model according to the indoor optical communication parameters, and initializing an LED light source scene set based on the indoor optical communication model;
The target scene set generation module is used for calculating the illuminance uniformity value of each LED light source scene in the LED light source scene set, and performing reverse learning on the LED light source scene set according to the illuminance uniformity value to generate a target scene set of the LED light source scene set;
the optimization LED light source scene calculation module is used for carrying out global search and local search on the target scene set to obtain an initial scene layout of each target scene in the target scene set, and optimizing the target scene set based on the initial scene layout to obtain an optimization LED light source scene corresponding to the indoor optical communication model;
the node screening module is used for constructing an optical communication node network of the indoor optical communication model based on the optimized LED light source scene, and carrying out node screening on the optical communication node network to obtain a target node network;
and the scene modeling module is used for modeling the scene of the LED light source in the target room according to the target node network to obtain the target LED light source scene in the target room.
According to the embodiment of the invention, the illumination uniformity value of each LED light source scene in the LED light source scene set in the target room is calculated, the target scene set is generated through the reverse learning of the illumination uniformity value, the diversity of the LED light source scene set can be kept, and the illumination uniformity value of the LED light source scene in the target scene set is improved; optimizing the target scene set to obtain an optimized LED light source scene, and obtaining a corresponding optimized LED light source scene in the target room to improve the optical communication effect; the optical communication node network optimizing the LED light source scene is optimized, so that the communication complexity of the optical communication node network can be reduced, redundant nodes are prevented from participating in optical communication, and the communication stability of the optical communication is effectively improved; and the target LED light source scene in the target room is obtained through the target node network, so that the quality and stability of indoor optical communication can be effectively improved, and the stable communication of the optical communication in the target room is realized. Therefore, the scene modeling method and system based on the digital realization of the LED light source can solve the problem of poor indoor optical communication stability.
Drawings
Fig. 1 is a schematic flow chart of a scene modeling method based on digital implementation of an LED light source according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a calculation of an illuminance uniformity value for each LED light source scene according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of node screening for an optical communication node network according to an embodiment of the present invention;
fig. 4 is a functional block diagram of a scene modeling system based on a digital implementation of an LED light source according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a scene modeling method for realizing an LED light source based on digitization. The execution subject of the scene modeling method based on the digital implementation of the LED light source includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiments of the present application. In other words, the scene modeling method based on the digital implementation of the LED light source may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a scene modeling method based on digital implementation of an LED light source according to an embodiment of the present invention is shown. In this embodiment, the scene modeling method based on the digital implementation of the LED light source includes:
s1, acquiring indoor optical communication parameters in a target room, constructing an indoor optical communication model according to the indoor optical communication parameters, and initializing an LED light source scene set based on the indoor optical communication model.
In the embodiment of the invention, the indoor optical communication parameters are indoor parameters which need to be used for modeling the scene of the LED light source, such as indoor building structures, wall sizes, indoor storage racks, shields such as cabinets and tables, positions and parameters of the LED light source, positions, parameters and dimensions of the photoelectric receiver, and the like, so that the indoor environment of a target room can be modeled through the indoor optical communication parameters, and an indoor optical communication model capable of carrying out optical communication is obtained.
In the embodiment of the present invention, the building an indoor optical communication model according to the indoor optical communication parameters includes:
initializing a three-dimensional coordinate system, and determining object feature point coordinates in the indoor optical communication parameters according to the three-dimensional coordinate system;
And constructing an object model according to the object feature point coordinates, and performing three-dimensional modeling according to the object model to obtain indoor optical communication modeling.
In the embodiment of the invention, the position of the mark point of each object can be determined through the size and the position information of each object in the indoor optical communication parameters, so that the characteristic point coordinates of each object can be determined in a three-dimensional coordinate system, and each object is modeled through the characteristic point coordinates to obtain an object model, for example, an object model such as a wall model, a table model and the like.
In the embodiment of the invention, the overall pattern in the target room can be modeled through each object model, a foundation is provided for the subsequent deployment of the LED light source in the target room, and the modeling accuracy of the LED light source scene is improved.
In the embodiment of the invention, the initialization LED light source scene set is the LED light source layout of the positions and parameters of different LED light sources and the positions and parameters of different photoelectric receivers, and the initialization of the LED light source scene set is realized by carrying out the layout of the different positions on the LED light sources and the photoelectric receivers, so that a plurality of LED light source scenes with different positions and parameters are obtained.
S2, calculating an illuminance uniformity value of each LED light source scene in the LED light source scene set, and performing reverse learning on the LED light source scene set according to the illuminance uniformity value to generate a target scene set of the LED light source scene set.
In the embodiment of the invention, the illuminance uniformity value is the uniformity of the LED illumination in each LED light source scene, and the fluctuation degree of the illuminance of the LED light source in each LED light source scene can be reflected through the illumination uniformity, so that the power distribution condition of the LED light source can be further determined according to the distribution condition of the illuminance of the LED light source, and the distribution uniformity of the LED light source in the LED light source scene is improved.
In an embodiment of the present invention, referring to fig. 2, the calculating the illuminance uniformity value of each LED light source scene in the LED light source scene set includes:
s21, dividing the LED light sources in each LED light source scene into a sight distance light source and a non-sight distance light source;
s22, calculating the view distance illumination of the view distance light source and calculating the non-view distance illumination of the non-view distance light source;
s23, calculating the total illumination of each LED light source scene according to the stadia illumination and the non-stadia illumination, and determining the minimum illumination and the maximum illumination in the stadia illumination and the non-stadia illumination;
and S24, calculating the illumination uniformity value of each LED light source scene according to the total illumination, the illumination minimum value and the illumination maximum value.
In the embodiment of the invention, the line-of-sight light source refers to an LED light source which can be directly transmitted to the photoelectric receiver, the non-line-of-sight light source refers to an LED light source which is transmitted to the photoelectric receiver after being reflected once by the wall surface, and the illumination intensities received by the photoelectric receivers of different line-of-sight light sources are inconsistent, so that the illumination intensity of each line-of-sight light source and the illumination intensity of the non-line-of-sight light source to the photoelectric receiver need to be calculated to obtain the illumination uniformity value of each LED light source scene.
In an embodiment of the present invention, the calculating the line-of-sight illuminance of the line-of-sight light source includes:
calculating the line-of-sight illuminance of the line-of-sight light source using the formula:
,/>
wherein,indicate->Distance light source to->The line-of-sight illuminance of the individual photo receivers, +.>Indicate->Preset conversion coefficient of individual line-of-sight light sources, +.>Indicate->Preset emission power of individual line-of-sight light sources, +.>Indicate->Distance light source to->Emergence angle of the individual photo-receivers, +.>Indicate->Distance light source to->Incidence angle of the individual photo receivers, +.>Indicate->Distance light source to->Euclidean distance of the individual photo receivers.
In the embodiment of the invention, the non-line-of-sight light source can be sent to the photoelectric receiver only after being reflected by the wall, so that the non-line-of-sight illuminance of the non-line-of-sight light source can be calculated according to the reflectivity of the transmitting wall and the parameter from the non-line-of-sight light source to a random point in the reflecting wall.
In an embodiment of the present invention, the calculating the non-line-of-sight illuminance of the non-line-of-sight light source includes:
acquiring the wall reflectivity of the reflecting wall irradiated by the non-line-of-sight light source;
calculating Euclidean distance from the non-line-of-sight light source and a preset photoelectric receiver to a random point in the reflecting wall surface and a reflecting angle of the random point;
And calculating the non-line-of-sight illuminance of the non-line-of-sight light source according to the wall surface reflectivity, the Euclidean distance and the reflection angle.
In the embodiment of the invention, the photoelectric receiver and the photoelectric receiver for calculating the line-of-sight illuminance are both photoelectric receivers arranged in an LED light source scene, and the photoelectric receiver is used for receiving the light source information sent by the LED light source.
Preferably, the emission angle comprises the output angle and the incident angle of the non-line-of-sight light source to a random point in the reflecting wall surface, and the illumination condition of the LED light source after being reflected by the reflecting wall surface is calculated through the angle of the random point in the reflecting wall surface, so that the illumination of the light source of the non-line-of-sight light source is calculated.
In an embodiment of the present invention, the calculating the non-line-of-sight illuminance of the non-line-of-sight light source according to the wall surface reflectivity, the euclidean distance and the reflection angle includes:
calculating the non-line-of-sight illuminance of the non-line-of-sight light source using the formula:
wherein,indicate->Non-line-of-sight light source to +.>Non-line-of-sight illumination of the individual photo-receivers, < >>Representing the emissivity of the wall surface,/->Indicate->Individual non-line-of-sight light sources to a random point +.>Emergence angle of->Representing random dot +.>To->Incidence angle of the individual photo receivers, +. >Indicate->Individual non-line-of-sight light sources to a random point +.>Incident angle of>Representing random dot +.>To->Emergence angle of the individual photo-receivers, +.>、/>Indicate->Preset conversion coefficient and preset emission power of the non-line-of-sight light source, < >>Indicate->Individual line-of-sight light sources to random points +.>European distance,/, of->Representing random dot +.>To->Euclidean distance of the individual photo receivers, < >>Representing random dot +.>The infinitesimal of the reflective wall surface.
In the embodiment of the invention, the illumination of each line of sight and the illumination of the non-line of sight are summed to obtain the total illumination of each light source scene, the ratio of the difference between the maximum value and the minimum value of the illumination to the total illumination is used as the illumination uniform value of each LED light source scene, and the fluctuation of the illumination of the LED light source in each LED light source scene can be determined by the illumination uniform value, so that the accuracy and the comprehensiveness of light information transmission in optical communication are improved.
In the embodiment of the invention, the reverse learning is an evolutionary algorithm, and the LED light source scene with the optimal uniform illuminance value in the LED light source scene set can be learned through the reverse learning, so that the diversity of the LED light source scene set is effectively maintained, the algorithm is enabled to be quickly converged, and the efficiency and the accuracy of constructing the optimized LED light source scene are improved.
In the embodiment of the present invention, the reverse learning is performed on the LED light source scene set according to the illuminance uniformity value, and the generating of the target scene set of the LED light source scene set includes:
selecting an optimized scene set from the LED light source scene set according to the illuminance uniformity value;
learning each optimization scene in the optimization scene set to obtain a learning scene set;
collecting the optimized scene set and the learning scene set to obtain an updated LED light source scene set, and calculating an updated illuminance uniformity value of each LED light source scene in the updated LED light source scene set;
and selecting a target scene set from the updated LED light source scene set according to the updated illuminance uniformity value.
In the embodiment of the invention, N/2 light source scenes with better illuminance uniformity values can be selected from N LED light source scenes to be used as an optimized scene set, and each LED light source scene in the optimized scene set is subjected to reverse learning to obtain more diversified reverse learning scenes.
In the embodiment of the present invention, the learning of each optimization scene in the optimization scene set to obtain a learning scene set includes:
each optimization scenario in the set of optimization scenarios is learned using the following formula:
Wherein,indicate->Learning scenario of individual optimization scenario, +.>Representing a preset learning factor->LED light source scene corresponding to minimum value of illumination uniformity value>LED light source scene corresponding to maximum value of illumination uniformity value, < ->Indicate->The scenario is optimized.
According to the embodiment of the invention, the layout of each LED light source in the optimized scene can be learned through learning to obtain the learning scene set, the optimized scene set and the learning scene set are collected and combined, N LED light source scenes with the largest updated illuminance uniformity value are selected from the updated LED light source scene set as the target scene set, and the reverse learning of the LED light source scene set is completed.
In the embodiment of the invention, the diversity of the LED light source scene set can be maintained through reverse learning, and the illuminance uniformity value of the LED light source scene in the target scene set is improved, so that the LED light source scene set is optimized, and the uniformity of the received light power is improved.
And S3, performing global search and local search on the target scene set to obtain an initial scene layout of each target scene in the target scene set, and optimizing the target scene set based on the initial scene layout to obtain an optimized LED light source scene corresponding to the indoor light communication model.
In the embodiment of the invention, global search is a strategy for attempting to consider the whole search space of the problem so as to ensure that a globally optimal solution is found. The local search is a strategy of gradually searching for an initial scene layout by successive small steps starting from an initial target scene.
In the embodiment of the invention, global searching can be performed in the early stage, local searching can be performed in the later stage to obtain the initial scene layout of each target scene, and specifically, one of global searching algorithms such as Depth-First Search (Depth-First Search), breadth-First Search (break-First Search), branch limit (Branch and Bound), particle swarm optimization (Particle Swarm Optimization) and the like can be utilized to perform the early stage searching on each target scene, and then one of Hill Climbing algorithm (Hill climber) and simulated annealing (Simulated Annealing) is utilized to perform the later stage local searching, so that the initial scene layout of each target scene is obtained.
In the embodiment of the invention, the initial layout scene is the layout scene of the LED light source and the photoelectric receiver obtained after the global search and the local search of the target scene, so that the target scene set can be optimized according to the initial layout scene to obtain the optimized LED light source scene corresponding to the indoor optical communication model, and the optical communication effect of the indoor optical communication model is improved.
In the embodiment of the present invention, the optimizing the target scene set based on the initial scene layout to obtain an optimized LED light source scene corresponding to the indoor optical communication model includes:
taking the initial scene layout as an initial particle swarm, and initializing initial optimization parameters;
performing population optimization on the initial particle swarm according to the initial optimization parameters to obtain an optimized scene layout set;
and calculating the uniform value of the layout illumination of each optimized scene layout in the optimized scene layout set, and selecting the optimized scene layout corresponding to the maximum value of the uniform value of the layout illumination as an optimized LED layout scene.
In the embodiment of the invention, the initial optimization parameter can be a differential optimization parameter, and the initial particle swarm is optimized through differential optimization, wherein the function for calculating the illuminance uniformity value can be used as an optimization function in the initial optimization parameter to perform differential optimization on the initial particle swarm to obtain an optimized scene layout set after optimization iteration, so that an optimized LED layout scene can be obtained by calculating the illuminance uniformity value of each optimized scene layout in the optimized scene layout set, and the indoor optical communication quality of the indoor optical communication model is improved.
S4, constructing an optical communication node network of the indoor optical communication model based on the optimized LED light source scene, and screening nodes of the optical communication node network to obtain a target node network.
In the embodiment of the invention, the illuminance uniformity value of the LED light source in the optimized light source scene may be optimal, but the redundant LED light source or redundant photoelectric receiver which is unnecessary for optical communication in the optimized LED light source scene may be generated, so that the complexity of indoor optical communication is higher, and the stability of the indoor optical communication is further poor.
Preferably, the embodiment of the invention optimizes each LED light source and each photoelectric receiver in the LED light source scene as a network node for optical communication, thereby optimizing the optical communication network node and obtaining a target node network.
In the embodiment of the present invention, referring to fig. 3, the step of performing node screening on the optical communication node network to obtain a target node network includes:
s31, performing two-dimensional mapping on the optical communication node network to obtain a two-dimensional node network;
s32, acquiring neighbor nodes and node perception radii of each node in the two-dimensional node network;
S33, calculating redundant intersection areas between the nodes and each neighboring node according to the neighboring nodes and the node perception radius;
and S34, screening nodes in the optical communication node network according to the redundant intersection area to obtain a target node network.
In the embodiment of the invention, the two-dimensional mapping is to map the optical communication node network in a rectangular complex optical network monitoring area formed by two network nodes of an LED light source and a photoelectric receiver, so as to obtain a two-dimensional node network, and the redundant intersection area between the nodes can be calculated more preferably through the two-dimensional node network.
In the embodiment of the invention, the Euclidean distance between each node can be calculated, and the node with the Euclidean distance smaller than the preset threshold value is taken as the neighbor node.
Preferably, in the embodiment of the invention, the neighbor nodes of the LED light source and the photoelectric receiver and the perceived radius are calculated respectively, namely, the neighbor nodes of the LED light source are the LED light source, and the neighbor nodes of the photoelectric receiver are the photoelectric receiver, so that the defect of a certain type of nodes is avoided, the indoor optical communication effect is further improved, wherein the perceived radius is the communication radius of each node capable of carrying out optical communication, the perceived area of each node can be determined through the perceived radius, and the redundant intersection area can be calculated according to the perceived area.
In the embodiment of the present invention, the calculating, according to the neighbor nodes and the node perceived radius, a redundant intersection area between the node and each of the neighbor nodes includes:
the redundant intersection area is calculated using the following formula:
wherein,indicate->Personal node and->Redundant intersection area between neighboring nodes, +.>Indicate->Node perceived radius of individual node, +.>Indicate->Personal node and->Euclidean distance between neighboring nodes.
In the embodiment of the invention, a node is taken as a center, a region where a circle with a perceived radius is located is a communication area of each node, when the Euclidean distance between the node and each neighbor node is larger than twice the perceived radius of the node, the node communication area between the neighbor node and the node is not overlapped, namely, the redundant intersection area between the node and the neighbor node is 0, the neighbor node is not a redundant node, and when the Euclidean distance between the node and each neighbor node is not larger than twice the perceived radius of the node, whether the neighbor node is a redundant node can be judged by calculating the redundant intersection area, and further, the node can be screened according to the redundant intersection area.
In the embodiment of the invention, when each LED light source and each photoelectric receiver are used as nodes and neighbor nodes, the redundant intersection area is larger than the preset area threshold, the node communication area of the node is overlapped with the adjacent nodes, the node communication area covered by the corresponding node is the redundant area, the node is redundant, and the redundant node is deleted from the optical communication node network to obtain the target node network.
In the embodiment of the invention, the communication complexity of the optical communication node network can be reduced through the target node network, the unnecessary redundant nodes are prevented from participating in the optical communication, the waste of resources is avoided or the information transmission of the optical communication is influenced, and the communication stability of the optical communication is effectively improved.
S5, modeling the scene of the LED light source in the target room according to the target node network to obtain a target LED light source scene in the target room.
In the embodiment of the invention, the scene modeling is the scene layout of the LED light source and the photoelectric receiver for optical communication in the target room, and the positions of the LED light source and the photoelectric receiver in the target room can be determined through the scene modeling, so that the scene of the target LED light source is determined.
The positions of the LED light sources and the photoelectric receivers in the target room can be determined through the target node network, so that the LED light sources and the photoelectric receivers used for optical communication in the target room can be modeled, an optical communication scene model in the target room is obtained, and further, a target LED light source scene in the target room is obtained according to the positions of each LED light source and the positions of each photoelectric receiver in the optical communication scene model.
According to the embodiment of the invention, the LED light source scene with more uniform illumination and lower complexity of the LED light source can be obtained through the target LED light source scene, so that the indoor optical communication quality and indoor optical communication stability in the target room can be effectively improved, and the stable communication of the optical communication in the target room is realized.
According to the embodiment of the invention, the illumination uniformity value of each LED light source scene in the LED light source scene set in the target room is calculated, the target scene set is generated through the reverse learning of the illumination uniformity value, the diversity of the LED light source scene set can be kept, and the illumination uniformity value of the LED light source scene in the target scene set is improved; optimizing the target scene set to obtain an optimized LED light source scene, and obtaining a corresponding optimized LED light source scene in the target room to improve the optical communication effect; the optical communication node network optimizing the LED light source scene is optimized, so that the communication complexity of the optical communication node network can be reduced, redundant nodes are prevented from participating in optical communication, and the communication stability of the optical communication is effectively improved; and the target LED light source scene in the target room is obtained through the target node network, so that the quality and stability of indoor optical communication can be effectively improved, and the stable communication of the optical communication in the target room is realized. Therefore, the scene modeling method based on the digital realization of the LED light source can solve the problem of poor indoor optical communication stability.
Fig. 4 is a functional block diagram of a scene modeling system based on a digital LED light source according to an embodiment of the present invention.
The scene modeling system 400 based on the digital realization of the LED light source can be installed in electronic equipment. Depending on the implemented functionality, the digitally implemented LED light source based scene modeling system 400 may include an initialization LED light source scene set module 401, a target scene set generation module 402, an optimized LED light source scene calculation module 403, a node screening module 404, and a scene modeling module 405. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the initialization LED light source scene set module 401 is configured to obtain indoor optical communication parameters in a target room, construct an indoor optical communication model according to the indoor optical communication parameters, and initialize an LED light source scene set based on the indoor optical communication model;
the target scene set generating module 402 is configured to calculate an illuminance uniformity value of each LED light source scene in the LED light source scene set, and perform reverse learning on the LED light source scene set according to the illuminance uniformity value, so as to generate a target scene set of the LED light source scene set;
The optimized LED light source scene calculation module 403 is configured to perform global search and local search on the target scene set to obtain an initial scene layout of each target scene in the target scene set, and optimize the target scene set based on the initial scene layout to obtain an optimized LED light source scene corresponding to the indoor optical communication model;
the node screening module 404 is configured to construct an optical communication node network of the indoor optical communication model based on the optimized LED light source scene, and perform node screening on the optical communication node network to obtain a target node network;
the scene modeling module 405 is configured to perform scene modeling of an LED light source in the target room according to the target node network, so as to obtain a target LED light source scene in the target room.
In detail, each module in the scene modeling system 400 based on the digital implementation LED light source in the embodiment of the present invention adopts the same technical means as the scene modeling method based on the digital implementation LED light source described in fig. 1 to 3, and can generate the same technical effects, which is not repeated here.
The invention also provides an electronic device which may comprise a processor, a memory, a communication bus and a communication interface, and may further comprise a computer program stored in the memory and executable on the processor, such as a scene modeling method program based on digitally implementing an LED light source.
The processor may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and the like. The processor is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory (for example, executes a scene modeling method program based on digital implementation of an LED light source, etc.), and invokes data stored in the memory to perform various functions of the electronic device and process the data.
The memory includes at least one type of readable storage medium including flash memory, removable hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device. Further, the memory may also include both internal storage units and external storage devices of the electronic device. The memory can be used for storing application software installed in the electronic equipment and various data, such as codes of a scene modeling method program for realizing the LED light source based on digitization, and can be used for temporarily storing data which are output or are to be output.
The communication bus may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory and at least one processor or the like.
The communication interface is used for communication between the electronic equipment and other equipment, and comprises a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Only an electronic device having components is shown, and it will be understood by those skilled in the art that the structures shown in the figures do not limit the electronic device, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for powering the respective components, and preferably, the power source may be logically connected to the at least one processor through a power management system, so as to perform functions of charge management, discharge management, and power consumption management through the power management system. The power supply may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
Specifically, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiment of the drawings, which are not repeated herein.
Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, system and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or systems as set forth in the system claims may also be implemented by means of one unit or system in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A scene modeling method for realizing an LED light source based on digitization, the method comprising:
acquiring indoor optical communication parameters in a target room, constructing an indoor optical communication model according to the indoor optical communication parameters, and initializing an LED light source scene set based on the indoor optical communication model;
calculating an illuminance uniformity value of each LED light source scene in the LED light source scene set, and performing reverse learning on the LED light source scene set according to the illuminance uniformity value to generate a target scene set of the LED light source scene set;
performing global search and local search on the target scene set to obtain an initial scene layout of each target scene in the target scene set, and optimizing the target scene set based on the initial scene layout to obtain an optimized LED light source scene corresponding to the indoor light communication model;
constructing an optical communication node network of the indoor optical communication model based on the optimized LED light source scene, and screening nodes of the optical communication node network to obtain a target node network;
and modeling the scene of the LED light source in the target room according to the target node network to obtain a target LED light source scene in the target room.
2. The method for modeling a scene based on a digital implementation LED light source according to claim 1, wherein the constructing an indoor optical communication model according to the indoor optical communication parameters comprises:
initializing a three-dimensional coordinate system, and determining object feature point coordinates in the indoor optical communication parameters according to the three-dimensional coordinate system;
and constructing an object model according to the object feature point coordinates, and performing three-dimensional modeling according to the object model to obtain indoor optical communication modeling.
3. The method for digitally implementing LED light source based scene modeling of claim 1, wherein said calculating the luminance uniformity value for each LED light source scene in said set of LED light source scenes comprises:
dividing the LED light sources in each LED light source scene into sight distance light sources and non-sight distance light sources;
calculating the line-of-sight illuminance of the line-of-sight light source and calculating the non-line-of-sight illuminance of the non-line-of-sight light source;
calculating the total illuminance of each LED light source scene according to the sight distance illuminance and the non-sight distance illuminance, and determining the minimum illuminance and the maximum illuminance in the sight distance illuminance and the non-sight distance illuminance;
and calculating the illuminance uniformity value of each LED light source scene according to the total illuminance, the illuminance minimum value and the illuminance maximum value.
4. A method of digitally implementing scene modeling for an LED light source as defined in claim 3, wherein said calculating the line-of-sight illuminance for the line-of-sight light source comprises:
calculating the line-of-sight illuminance of the line-of-sight light source using the formula:
,/>
wherein,indicate->Individual line of sight lightSource to->The line-of-sight illuminance of the individual photo receivers, +.>Indicate->Preset conversion coefficient of individual line-of-sight light sources, +.>Indicate->Preset emission power of individual line-of-sight light sources, +.>Indicate->Distance light source to->Emergence angle of the individual photo-receivers, +.>Indicate->Distance light source to->Incidence angle of the individual photo receivers, +.>Indicate->Distance light source to->Euclidean distance of the individual photo receivers, < >>Indicate->Distance light source to->Half exit angle of each photo receiver.
5. A method of digitally implementing scene modeling for an LED light source as defined in claim 3, wherein said calculating non-line-of-sight illuminance for said non-line-of-sight light source comprises:
acquiring the wall reflectivity of the reflecting wall irradiated by the non-line-of-sight light source;
calculating Euclidean distance from the non-line-of-sight light source and a preset photoelectric receiver to a random point in the reflecting wall surface and a reflecting angle of the random point;
Calculating non-line-of-sight illuminance of the non-line-of-sight light source according to the wall surface reflectivity, the Euclidean distance and the reflection angle;
calculating the non-line-of-sight illuminance of the non-line-of-sight light source using the formula:
wherein,indicate->Non-line-of-sight light source to +.>Non-line-of-sight illumination of the individual photo-receivers, < >>Representing the reflectivity of the wall surface,/->Indicate->Individual non-line-of-sight light sources to a random point +.>Emergence angle of->Representing random dot +.>To->Incidence angle of the individual photo receivers, +.>Indicate->Individual non-line-of-sight light sources to a random point +.>Incident angle of>Representing random dot +.>To->Emergence angle of the individual photo-receivers, +.>、/>Indicate->Preset conversion coefficient and preset emission power of the non-line-of-sight light source, < >>Represent the firstIndividual line-of-sight light sources to random points +.>European distance,/, of->Representing random dot +.>To->The euclidean distance of the individual photo-receivers,representing random dot +.>The infinitesimal of the reflective wall surface>Indicate->Individual non-line-of-sight light sources to a random point +.>Is a half exit angle of (c).
6. The method for digitally implementing LED light source scene modeling according to claim 1, wherein said reverse learning of said LED light source scene set according to said illuminance uniformity value generates a target scene set of said LED light source scene set, comprising:
Selecting an optimized scene set from the LED light source scene set according to the illuminance uniformity value;
learning each optimization scene in the optimization scene set to obtain a learning scene set;
each optimization scenario in the set of optimization scenarios is learned using the following formula:
wherein,indicate->Learning scenario of individual optimization scenario, +.>Representing a preset learning factor->LED light source scene corresponding to minimum value of illumination uniformity value>LED light source scene corresponding to maximum value of illumination uniformity value, < ->Indicate->Optimizing scenes;
collecting the optimized scene set and the learning scene set to obtain an updated LED light source scene set, and calculating an updated illuminance uniformity value of each LED light source scene in the updated LED light source scene set;
and selecting a target scene set from the updated LED light source scene set according to the updated illuminance uniformity value.
7. The method for modeling a scene based on a digital LED light source according to claim 1, wherein optimizing the target scene set based on the initial scene layout to obtain an optimized LED light source scene corresponding to the indoor optical communication model comprises:
taking the initial scene layout as an initial particle swarm, and initializing initial optimization parameters;
Performing population optimization on the initial particle swarm according to the initial optimization parameters to obtain an optimized scene layout set;
and calculating the uniform value of the layout illumination of each optimized scene layout in the optimized scene layout set, and selecting the optimized scene layout corresponding to the maximum value of the uniform value of the layout illumination as an optimized LED layout scene.
8. The method for modeling a scene based on a digital LED light source according to claim 1, wherein the node screening the optical communication node network to obtain a target node network comprises:
performing two-dimensional mapping on the optical communication node network to obtain a two-dimensional node network;
acquiring neighbor nodes and node perception radii of each node in the two-dimensional node network;
calculating redundant intersection areas between the nodes and each neighbor node according to the neighbor nodes and the node perception radius;
and screening nodes in the optical communication node network according to the redundant intersection area to obtain a target node network.
9. The method for digitally implementing scene modeling of LED light sources of claim 8, wherein said calculating redundant intersection areas between said node and each of said neighbor nodes based on said neighbor nodes and said node perceived radius comprises:
The redundant intersection area is calculated using the following formula:
wherein,indicate->Personal node and->Redundant intersection area between neighboring nodes, +.>Indicate->Node perceived radius of individual node, +.>Indicate->Personal node and->Euclidean distance between neighboring nodes.
10. A scene modeling system for digitally based implementation of LED light sources, the system comprising:
the initialization LED light source scene set module is used for acquiring indoor optical communication parameters in a target room, constructing an indoor optical communication model according to the indoor optical communication parameters, and initializing an LED light source scene set based on the indoor optical communication model;
the target scene set generation module is used for calculating the illuminance uniformity value of each LED light source scene in the LED light source scene set, and performing reverse learning on the LED light source scene set according to the illuminance uniformity value to generate a target scene set of the LED light source scene set;
the optimization LED light source scene calculation module is used for carrying out global search and local search on the target scene set to obtain an initial scene layout of each target scene in the target scene set, and optimizing the target scene set based on the initial scene layout to obtain an optimization LED light source scene corresponding to the indoor optical communication model;
The node screening module is used for constructing an optical communication node network of the indoor optical communication model based on the optimized LED light source scene, and carrying out node screening on the optical communication node network to obtain a target node network;
and the scene modeling module is used for modeling the scene of the LED light source in the target room according to the target node network to obtain the target LED light source scene in the target room.
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