Intelligent stadium light control method and system based on Internet of Things

Abstract

The invention relates to the technical field of stadium light control, and discloses a stadium intelligent light control method and system based on the Internet of Things, and the system comprises a stadium exhibition area personnel recognition module, a stadium exhibition area personnel position analysis module, and a stadium exhibition area light illumination control module. Based on a target exhibition area spatial position entity model and spatial coordinate combination parameters stored by big data, combining an intelligent recognition algorithm with target exhibition area viewer spatial position entity model parameters to perform precise positioning of spatial position coordinates of the venue target exhibition area viewer; based on the standard storage target exhibition area viewer illumination light space position coordinate parameters, combining a distance formula, an intelligent search algorithm and the target exhibition area viewer real-time space position coordinate parameters, the optimal illumination light object required by the stadium target exhibition area viewer is scientifically screened; and real-time optimal light illumination object accurate dynamic matching of viewers in the target exhibition area is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of venue lighting control, and in particular to an Internet of Things-based venue intelligent lighting control method and system. Background Art

[0002] The conventional way of lighting control is to control the switch state and brightness of the lights. There are two main methods for the brightness of the lights: one is mechanical addition and subtraction, that is, by controlling the number of lit lamps, the total luminous intensity can be increased or decreased. For a single lamp, a shading plate or a variable aperture can be used to change the light transmittance of the lamp; the other method is electrical control, that is, using various dimmers to change the working voltage or current of the lamp to adjust the luminous intensity of the lamp. These two methods have their own characteristics. The advantage of the first method is that it will not affect the color temperature, but the adjustment is not convenient enough. The second method is simple to operate and can be automatically and program-controlled. Among them, the lights in the theme venues need to create a good viewing effect, so it is usually necessary to design the light and dark lights for the exhibition area and passages of the theme venues. Although it can highlight the visual effect of the exhibits, it also brings inconvenience to the viewers; the existing venue lighting control cannot realize intelligent identification of viewers, nor can it provide dynamic tracking viewing lighting for viewers, which reduces the applicability and lighting effect of the venue lighting.

[0003] The Chinese invention patent with announcement number CN104750059B discloses a lighting control method. By displaying the timeline on the integrated console display interface, dynamically adding and / or deleting the control track objects of the performance equipment, and editing the track attributes and material attributes at the same time, the integrated console is used to issue corresponding control instructions according to the attributes of each track and its material attributes to achieve dynamic lighting control. However, the lighting control process of the above technical solution requires manual control of the lighting position, which reduces the response speed and effect of the lighting. Summary of the invention

[0004] 1. Technical issues to be resolved In order to solve the problem that the existing venue lighting control cannot realize intelligent recognition of visitors, nor can it provide dynamic tracking viewing lighting for visitors, which reduces the applicability and lighting effect of the venue lighting, the above purposes are achieved: online collection of real-time image information of the target exhibition area, accurate identification of visitors in the target exhibition area, scientific construction of identity information of visitors in the target exhibition area, accurate collection of physical model parameters of the position of visitors in the target exhibition area, precise positioning of the real-time spatial position of visitors in the target exhibition area, scientific identification of the real-time optimal lighting object for visitors in the target exhibition area, and precise and dynamic execution of lighting control operations in the target exhibition area.

[0005] (II) Technical solution The present invention is implemented by the following technical solution: a venue intelligent lighting control method based on the Internet of Things, the method comprising the following steps: S1. Collect real-time image data of the target exhibition area; S2, performing tracking recognition of visitors in the target exhibition area of ​​the venue according to the real-time image data of the target exhibition area and the characteristic image data of visitors in the venue exhibition area, generating identification data of visitors in the target exhibition area, and directly ending the lighting control operation of the target exhibition area of ​​the venue when no visitors exist; S3. When there are people, collect the appearance feature image data of the people in the target exhibition area and construct and process the identity identification information of the people in the target exhibition area to generate the identity identification data of the people in the target exhibition area; S4, establishing a physical model of the spatial position of the visitors in the target exhibition area according to the identity identification data of the visitors in the target exhibition area, and generating physical model data of the spatial position of the visitors in the target exhibition area; S5, performing spatial position coordinate analysis and processing of the target exhibition area viewers based on the target exhibition area viewing personnel spatial position entity model data and the target exhibition area spatial position entity model and spatial coordinate combination data, and generating real-time spatial position coordinate data of the target exhibition area viewers; S6, performing optimal lighting object recognition processing for the spatial position of the target exhibition area viewers according to the real-time spatial position coordinate data of the target exhibition area viewers and the lighting spatial position coordinate data of the target exhibition area viewers, and generating real-time optimal lighting object recognition data for the target exhibition area viewers; S7, executing the target exhibition area lighting control operation according to the real-time optimal lighting object recognition data of the target exhibition area visitors, and looping through steps S1 to S7 until there are no visitors, directly terminating the current venue target exhibition area lighting control operation.

[0006] Preferably, the operation steps of collecting real-time image data of the target exhibition area are as follows: S11. Collect real-time on-site images of the target exhibition area of ​​the venue online through the cloud lens, and generate real-time image data of the target exhibition area The target exhibition area real-time image data represents the on-site image data of a specific target exhibition area in the venue at a specific time.

[0007] The present invention dynamically obtains real-time image information of the target exhibition area through a cloud lens, thereby providing reliable data support for dynamic and accurate identification of the traces of visitors in the target exhibition area of ​​the venue.

[0008] Preferably, the target exhibition area's target personnel trace recognition processing is performed based on the target exhibition area's real-time image data and the venue exhibition area's personnel feature image data to generate the target exhibition area's target personnel recognition data. When there is no personnel, the operation steps for directly ending the current venue target exhibition area's lighting control operation are as follows: S21. Establishing a dataset of characteristic images of people in the exhibition area of ​​the venue , ;in Indicates 100 pieces of characteristic image data of people in the exhibition area of ​​the venue, Indicates the maximum value of the number of characteristic images of people in the exhibition area of ​​the venue, wherein the characteristic image data of people in the exhibition area of ​​the venue indicates the on-site image data of the exhibition area of ​​the venue when there are people watching in the exhibition area of ​​the venue; S22, using the KD tree nearest neighbor search algorithm to convert the real-time image data of the target exhibition area and the personnel feature image data set of the exhibition area of ​​the venue Characteristic image data of people in the exhibition area of ​​the venue Perform image feature matching and generate target exhibition area visitor identification data based on the image feature matching results ; when and If the image feature matching is successful, it means that there are traces of visitors in the target exhibition area of ​​the venue, and the identification data of visitors in the target exhibition area is output. For the existence of personnel; when and If the image features are not matched successfully, it means that there is no trace of visitors in the target exhibition area of ​​the venue, then the identification data of visitors in the target exhibition area will be output. Since there are no people, the lighting control operation of the target exhibition area of ​​the venue will be terminated directly at this time.

[0009] The present invention realizes intelligent dynamic identification of the traces of visitors in the target exhibition area of ​​the venue by scientifically setting the characteristic image information of visitors in the venue exhibition area, combining the KD tree nearest neighbor search algorithm with the real-time image information of the target exhibition area, so as to achieve the effect of dynamic and accurate monitoring of the traces of visitors in the target exhibition area of ​​the venue.

[0010] Preferably, when there are people, the appearance feature image data of the people in the target exhibition area is collected and the identity identification information of the people in the target exhibition area is constructed and processed, and the operation steps of generating the identity identification data of the people in the target exhibition area are as follows: S31, when the target exhibition area visitor identification data When there are people, the cloud camera collects the front and full-body appearance feature image information of the people in the target exhibition area of ​​the venue online, and generates a data set of appearance feature images of the people in the target exhibition area. , ;in Indicates the collected The appearance feature image data of the target exhibition area visitors corresponding to the visitors, Indicates the maximum number of viewers; S32, collecting the appearance feature image data of the target exhibition area visitors Image data of appearance characteristics of visitors in the target exhibition area The corresponding appearance feature images and the number of visitors are processed for data combination identification to generate the target exhibition area visitor identity identification data set ,in Indicates The target exhibition area viewing personnel identity identification data corresponding to each viewing personnel, the target exhibition area viewing personnel identity identification data includes the identity number information and appearance feature image information of the target exhibition area viewing personnel, and the identity number information and the appearance feature image are in a one-to-one mapping relationship with each other.

[0011] The present invention uses a cloud lens to accurately obtain image information of the appearance features of visitors in the target exhibition area and combines it with data identification processing to scientifically and efficiently construct the identity identification information of the visitors in the target exhibition area, thereby achieving the effect of digitally and accurately establishing the identity information of the visitors in the target exhibition area of ​​the venue.

[0012] Preferably, the entity model of the spatial position of the viewers in the target exhibition area is established based on the identity identification data of the viewers in the target exhibition area, and the operation steps of generating the entity model data of the spatial position of the viewers in the target exhibition area are as follows: S41, using a three-dimensional laser scanner to collect the identity data of visitors in the target exhibition area The identification data of visitors to the target exhibition area According to the identity information, the physical modeling of the visitors and the real-life spatial positions in the target exhibition area of ​​the venue is carried out in order to generate a data set of the physical model of the spatial positions of the visitors in the target exhibition area. ,in Indicates The target exhibition area viewing personnel spatial position entity model data corresponding to each viewing personnel, the target exhibition area viewing personnel spatial position entity model data represents the overall entity model data consisting of the selected viewing personnel in the target exhibition area of ​​the venue and the on-site real scene environment of the exhibition area; the on-site real scene environment of the exhibition area includes the on-site real scene environment of the target exhibition area itself and the unselected viewing personnel.

[0013] The present invention achieves the effect of providing real data support for scientifically and accurately locating the positions of viewers in the target exhibition area of ​​the venue by accurately establishing the physical model parameters of the spatial positions of viewers in the target exhibition area of ​​the venue according to the identity identification information of viewers in the target exhibition area in combination with a three-dimensional laser scanner.

[0014] Preferably, the spatial position coordinates of the target exhibition area viewers are analyzed and processed based on the target exhibition area viewer spatial position entity model data and the target exhibition area spatial position entity model and spatial coordinate combination data to generate the target exhibition area viewer real-time spatial position coordinate data in the following steps: S51. Establishing the spatial location entity model of the target exhibition area and the spatial coordinate combination data set , ;in Represents the physical model of the target exhibition area space location Middle The target exhibition area spatial position entity model and spatial coordinate combination data corresponding to each spatial position, Indicates the maximum number of spatial locations; the target exhibition area spatial location entity model Representing the real-scene three-dimensional entity model data of the target exhibition area of ​​the venue when there are no visitors; the target exhibition area spatial position entity model and spatial coordinate combination data represent the target exhibition area spatial position entity model and spatial coordinate combination data corresponding to the spatial grid position uniformly established by grid division corresponding to the plane where the ground is stepped on by the visitors in the venue target exhibition area entity model, wherein the target exhibition area spatial position entity model and spatial coordinate combination data include the target exhibition area spatial position entity model and the longitude, latitude and altitude of the target exhibition area spatial position; S52: Collecting the spatial position entity model data of the target exhibition area visitors Physical model data of the spatial location of visitors in the target exhibition area A data set composed of the entity model and spatial coordinates of the target exhibition area in an ordered order according to the number of visitors. The internal target exhibition area spatial location entity model and spatial coordinate combination data Physical model of the target exhibition area space location Perform entity model feature matching to search for entity model data of the target exhibition area's viewing personnel's spatial location The matching target exhibition area spatial location entity model and spatial coordinate combination data The corresponding spatial coordinate parameters are used to generate the real-time spatial position coordinate data set of the target exhibition area visitors through data identification. , execute to generate the real-time spatial position coordinate data set of the target exhibition area visitors The specific steps are as follows: S521, initializing coordinates to search for the number of clans n of the elephant population, and setting the maximum number of iterations T; S522, calculating the fitness value of each coordinate search elephant individual, that is, calculating the spatial position entity model data of the viewing personnel in the target exhibition area Combined data set with the spatial location entity model and spatial coordinates of the target exhibition area The spatial position entity model and spatial coordinate combination data of the target exhibition area in the search space The fitness value is obtained to obtain the current optimal coordinates to search for the individual position of the elephant, that is, to obtain the physical model data of the spatial position of the viewing personnel in the target exhibition area. The most matching target exhibition area spatial location entity model and spatial coordinate combination data ; S523, updating the entity model of the spatial position of each coordinate search elephant individual in the population and the spatial coordinate combination data set in the target exhibition area The position in the search space, the coordinate search elephant position update formula is ,in Indicated in The coordinates of the elephants are searched in the iterations Relative coordinate search for the leader of an elephant clan The target exhibition area spatial location entity model and spatial coordinate combination data set Position in the search space; Indicated in The coordinates of the elephants are searched in the iterations Relative coordinate search for the leader of an elephant clan The target exhibition area spatial location entity model and spatial coordinate combination data set Position in the search space; Indicates coordinate search for individual elephants Relative coordinate search for the leader of an elephant clan The target exhibition area spatial location entity model and spatial coordinate combination data set The best position in the search space, that is, the entity model and spatial coordinate combination data set of the target exhibition area space position Search the search space to find the physical model data of the spatial position of the visitors in the target exhibition area The most matching target exhibition area spatial location entity model and spatial coordinate combination data location, Indicates that the value is The position influence factor, Represents coordinate search for the patriarch of the elephant population clan Search for individual elephants by coordinates The position influence factor, Indicates value Random number; Update the current optimal coordinate to search for the position of the individual elephant. The optimal coordinate to search for the position of the individual elephant is updated as follows: ,in Indicates that the value is The center position influence coefficient, Represents coordinate search for the patriarch of the elephant population clan The influence coefficient of the center position of the individual elephant on the entire coordinate search, Indicates the entire coordinate search elephant population individual in the coordinate search elephant population clan patriarch Coordinate search of the center position of the elephant population under the influence of coordinate search of the individual elephants in the target exhibition area, the entity model and the spatial coordinate combination data set Position in the search space; S524, calculate the fitness value of each coordinate search elephant individual after the update, analyze the coordinate search elephant population, and obtain the best and worst coordinate search elephant individual positions of the updated coordinate search elephant population, that is, the spatial position entity model and spatial coordinate combination data set of the target exhibition area Search the search space to find the physical model data of the spatial position of the visitors in the target exhibition area The spatial position entity model and spatial coordinate combination data of the target exhibition area with the maximum fitness value and the minimum fitness value location; S525, update the current worst coordinates to search for the individual position of the elephant, that is, the entity model of the spatial position of the target exhibition area and the spatial coordinate combination data set Update the entity model data of the spatial position of the visitors in the target exhibition area in the search space The target exhibition area spatial position entity model and spatial coordinate combination data with the smallest fitness value The position of the elephant is updated with the worst coordinate search formula: ,in Indicates coordinate search for individual elephants Relative coordinate search for the leader of an elephant clan The target exhibition area spatial location entity model and spatial coordinate combination data set The worst position in the search space, and Represents the target exhibition area spatial location entity model and spatial coordinate combination data set Upper and lower bounds of the search space; Indicates value A random function; retaining the optimal coordinates to search for the individual position of the elephant, that is, retaining the entity model of the spatial position of the target exhibition area and the spatial coordinate combination data set Search space for physical model data of the spatial position of visitors in the target exhibition area The spatial position entity model and spatial coordinate combination data of the target exhibition area with the largest fitness value location; S526: When the maximum number of iterations is met, output the entity model data of the spatial position of the viewing personnel in the target exhibition area. The spatial position entity model and spatial coordinate combination data of the target exhibition area with the largest fitness value Otherwise, return to and repeat step S522; S527: Combine the spatial position entity model and spatial coordinate data of the target exhibition area output in step S526 The corresponding spatial coordinate parameters are used to generate the real-time spatial position coordinate data set of the target exhibition area visitors through data identification. ,in Indicates The real-time spatial position coordinate data of the target exhibition area viewers corresponding to each viewer, the real-time spatial position coordinate data of the target exhibition area viewers represent the spatial position coordinate parameters of the viewers in the target exhibition area of ​​the venue, and the real-time spatial position coordinate data of the target exhibition area viewers include the longitude, latitude and altitude of the viewer's spatial position in the target exhibition area.

[0015] The present invention accurately locates the spatial position coordinates of viewers in the target exhibition area of ​​the venue by combining the target exhibition area spatial position entity model and spatial coordinate combination parameters stored in big data with the artificial intelligence elephant optimization algorithm and the spatial position entity model parameters of the target exhibition area viewers, thereby achieving the effect of accurately monitoring the real-time lighting position of viewers in the target exhibition area.

[0016] Preferably, the optimal lighting object recognition processing of the target exhibition area viewers' spatial position is performed based on the real-time spatial position coordinate data of the target exhibition area viewers and the lighting spatial position coordinate data of the target exhibition area viewers, and the operation steps of generating the real-time optimal lighting object recognition data of the target exhibition area viewers are as follows: S61. Establishing the spatial position coordinate data set of the lighting for visitors in the target exhibition area , ;in Indicates the target exhibition area The spatial position coordinate data of the lighting lights for the target exhibition area visitors corresponding to each lighting light, Indicates the maximum number of lighting lights; the spatial position coordinate data of the lighting lights for visitors in the target exhibition area indicates the spatial position coordinate data of the lighting lights evenly installed in the target exhibition area to provide lighting for visitors; the spatial position coordinate number of the lighting lights for visitors in the target exhibition area includes the longitude, latitude and altitude of the spatial position of the lighting lights; S62: Use the spatial distance formula to sequentially measure the real-time spatial position coordinate data set of the visitors in the target exhibition area according to the number of visitors. Real-time spatial location coordinate data of visitors in the target exhibition area The target exhibition area lighting space position coordinate data set The spatial position coordinate data of the lighting for visitors in the target exhibition area The spatial distance data of the target exhibition area is constructed, and the data set matrix of the distance between the target exhibition area visitors and the lighting space is constructed. ,in Indicates The data set of the distance between the target exhibition area viewers and the light space corresponding to each viewer, ,in Represents the data set of the distance between the target exhibition area visitors and the light space Middle Visitors and target exhibition area The distance data between the target exhibition area visitors and the lighting space corresponding to each lighting light, The unit is meter; S63, using an iterative deepening algorithm to calculate the target exhibition area viewing personnel and light space distance data set matrix Data set of the distance between the target exhibition area visitors and the lighting space The distance data between the target exhibition area visitors and the lighting space Compare the spatial distance values ​​to search for the target exhibition area with the smallest spatial distance value between the target exhibition area and each viewer and the spatial distance data between the viewer and the light. The corresponding target exhibition area lighting number text information, and generate the target exhibition area viewing personnel real-time optimal lighting object recognition data set through data identification ,in Indicates The target exhibition area viewers real-time optimal lighting object identification data corresponding to each viewer, the target exhibition area viewers real-time optimal lighting object identification data represents the identification text information of the lighting object in the target exhibition area of ​​the venue that is closest to the spatial distance of each viewer.

[0017] The present invention performs scientific screening of the optimal lighting objects required for viewers in the target exhibition area of ​​the venue based on the standard storage of the spatial position coordinate parameters of the lighting lights of viewers in the target exhibition area, combined with the distance formula and the iterative deepening algorithm and the real-time spatial position coordinate parameters of the viewers in the target exhibition area, so as to achieve the effect of accurate dynamic matching of the optimal lighting objects for viewers in the target exhibition area in real time.

[0018] Preferably, the target exhibition area lighting control operation is performed according to the real-time optimal lighting object recognition data of the target exhibition area visitors, and steps S1 to S7 are cyclically performed until there are no visitors, and the lighting control operation of the target exhibition area of ​​the venue is directly terminated as follows: S71: The venue lighting control center identifies the optimal lighting object data set based on the real-time lighting of the target exhibition area visitors. Real-time optimal lighting object recognition data for visitors in the target exhibition area The corresponding lighting object number information and the identification number information of the spectators control the lighting of the target exhibition area to provide real-time lighting operations for the corresponding spectators; and at the same time, step S1 to step S7 are executed repeatedly until the identification data of the spectators in the target exhibition area is obtained. When there is no person, the lighting control operation of the target exhibition area of ​​the venue will be terminated directly.

[0019] The present invention uses the venue lighting control center to accurately and efficiently execute the lighting control operation of the target exhibition area according to the real-time optimal lighting object recognition parameters of the visitors in the target exhibition area, and combines the trace monitoring results of the visitors in the venue's target exhibition area to achieve the effect of dynamically executing the lighting control operation of the target exhibition area.

[0020] An intelligent lighting control system for a venue based on the Internet of Things, used to implement the intelligent lighting control method for a venue based on the Internet of Things, the system includes a venue exhibition area personnel identification module, a venue exhibition area personnel position analysis module, and a venue exhibition area lighting control module; The venue exhibition area personnel identification module includes a target exhibition area real-time image acquisition unit, a venue exhibition area personnel feature image storage unit, and a target exhibition area viewing personnel identification unit; The target exhibition area real-time image acquisition unit is used to collect real-time image data of the target exhibition area through a cloud lens; the venue exhibition area personnel feature image storage unit is used to store the venue exhibition area personnel feature image data; the target exhibition area viewing personnel identification unit performs viewing personnel trace identification processing in the venue target exhibition area according to the target exhibition area real-time image data and the venue exhibition area personnel feature image data, and generates the target exhibition area viewing personnel identification data; The venue exhibition area personnel identification module includes a target exhibition area viewing personnel appearance feature image acquisition unit, a target exhibition area viewing personnel identity identification information construction unit, a target exhibition area viewing personnel space position entity model establishment unit, a target exhibition area space position entity model and space coordinate combination parameter storage unit, and a target exhibition area viewing personnel space position coordinate analysis unit; The target exhibition area viewing personnel appearance feature image acquisition unit acquires appearance feature image data of the target exhibition area viewing personnel through a cloud lens; the target exhibition area viewing personnel identity identification information construction unit performs a process of constructing the identity identification information of the viewing personnel in the target exhibition area of ​​the venue according to the appearance feature image data of the viewing personnel in the target exhibition area, and generates the identity identification data of the viewing personnel in the target exhibition area; the target exhibition area viewing personnel spatial position entity model establishment unit performs a process of establishing the entity model of the spatial position of the viewing personnel in the target exhibition area of ​​the venue according to the identity identification data of the viewing personnel in the target exhibition area in combination with a three-dimensional laser scanner, and generates the target exhibition area viewing personnel spatial position entity model data; the target exhibition area spatial position entity model and spatial coordinate combination parameter storage unit is used to store the target exhibition area spatial position entity model and spatial coordinate combination data; the target exhibition area viewing personnel spatial position coordinate analysis unit performs a process of analyzing the spatial position coordinates of the viewing personnel in the target exhibition area of ​​the venue based on the target exhibition area viewing personnel spatial position entity model data and the target exhibition area spatial position entity model and spatial coordinate combination data, and generates the real-time spatial position coordinate data of the viewing personnel in the target exhibition area; The venue exhibition area lighting control module includes a target exhibition area viewing personnel lighting space position coordinate storage unit, a target exhibition area viewing personnel optimal lighting object recognition unit, and a target exhibition area lighting control operation execution unit; The target exhibition area viewing personnel lighting spatial position coordinate storage unit is used to store the target exhibition area viewing personnel lighting spatial position coordinate data; the target exhibition area viewing personnel optimal lighting object recognition unit performs optimal lighting object recognition processing for the spatial position of the target exhibition area viewing personnel in the venue based on the target exhibition area viewing personnel real-time spatial position coordinate data and the target exhibition area viewing personnel lighting spatial position coordinate data, and generates the target exhibition area viewing personnel real-time optimal lighting object recognition data; the target exhibition area lighting control operation execution unit, the venue lighting control center executes the target exhibition area lighting control operation based on the target exhibition area viewing personnel real-time optimal lighting object recognition data, until there are no people in the target exhibition area of ​​the venue, and directly ends the current venue target exhibition area lighting control operation.

[0021] (III) Beneficial effects The present invention provides a venue intelligent lighting control method and system based on the Internet of Things. It has the following beneficial effects: 1. Dynamically obtain real-time image information of the target exhibition area through cloud lenses to provide reliable data support for dynamic and accurate identification of the traces of visitors in the target exhibition area of ​​the venue; scientifically set the characteristic image information of the venue exhibition area personnel and combine the intelligent search algorithm with the real-time image information of the target exhibition area to perform intelligent dynamic identification of the traces of visitors in the target exhibition area of ​​the venue, realize dynamic and accurate monitoring of the traces of visitors in the target exhibition area of ​​the venue, and improve the intelligence of the venue lighting control.

[0022] 2. Accurately obtain the image information of the appearance features of the visitors in the target exhibition area through the cloud lens and combine it with data identification processing to scientifically and efficiently construct the identity information of the visitors in the target exhibition area, realize the digital and accurate establishment of the identity information of the visitors in the target exhibition area of ​​the venue, and improve the humanization and accuracy of the venue lighting control; accurately establish the physical model parameters of the spatial position of the visitors in the target exhibition area of ​​the venue according to the identity information of the visitors in the target exhibition area combined with the three-dimensional laser scanner, and provide real data support for the scientific and accurate positioning of the position of the visitors in the target exhibition area of ​​the venue; the physical model of the spatial position of the target exhibition area and the spatial coordinate combination parameters stored in the big data are combined with the intelligent recognition algorithm and the physical model parameters of the spatial position of the visitors in the target exhibition area of ​​the venue to accurately locate the spatial position coordinates of the visitors in the target exhibition area of ​​the venue, realize the real-time lighting position of the visitors in the target exhibition area, and improve the flexibility and accuracy of the venue lighting control.

[0023] 3. By storing the spatial coordinate parameters of the lighting of the target exhibition area visitors based on the standard, combining the distance formula and intelligent search algorithm with the real-time spatial coordinate parameters of the target exhibition area visitors, the optimal lighting objects required by the target exhibition area visitors of the venue are scientifically screened, and the real-time optimal lighting objects for the target exhibition area visitors are accurately and dynamically matched, thereby improving the scientificity and reliability of the venue lighting control; the venue lighting control center accurately and efficiently executes the lighting control operations of the target exhibition area based on the real-time optimal lighting object identification parameters of the target exhibition area visitors, and at the same time, combined with the trace monitoring results of the target exhibition area visitors in the venue, the dynamic execution of the lighting control operations of the target exhibition area is realized, the lighting effect and user experience of the venue lighting control are improved, and the quality and applicability of the venue lighting control are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of a module of a venue intelligent lighting control system based on the Internet of Things provided by the present invention; Figure 2 The present invention provides a flow chart of a venue intelligent lighting control method based on the Internet of Things. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The embodiments of the venue intelligent lighting control method and system based on the Internet of Things are as follows: Embodiment 1: See also Figure 1 - Figure 2 , a venue intelligent lighting control method based on the Internet of Things, the method comprises the following steps: S1. Collect real-time image data of the target exhibition area; S2, performing identification processing of visitors' traces in the target exhibition area of ​​the venue according to the real-time image data of the target exhibition area and the image data of visitors' characteristics in the venue exhibition area, generating identification data of visitors in the target exhibition area, and directly ending the lighting control operation of the target exhibition area of ​​the venue when no visitors exist; S3. When there are people, collect the appearance feature image data of the people in the target exhibition area and construct and process the identity identification information of the people in the target exhibition area to generate the identity identification data of the people in the target exhibition area; S4, establishing and processing a physical model of the spatial position of the visitors in the target exhibition area according to the identity identification data of the visitors in the target exhibition area, and generating physical model data of the spatial position of the visitors in the target exhibition area; S5, analyzing and processing the spatial position coordinates of the visitors in the target exhibition area of ​​the venue based on the spatial position physical model data of the visitors in the target exhibition area and the spatial position physical model and spatial coordinate combination data of the visitors in the target exhibition area, and generating real-time spatial position coordinate data of the visitors in the target exhibition area; S6, performing optimal lighting object recognition processing for the spatial position of the target exhibition area viewers based on the real-time spatial position coordinate data of the target exhibition area viewers and the lighting spatial position coordinate data of the target exhibition area viewers, and generating real-time optimal lighting object recognition data for the target exhibition area viewers; S7. Execute the lighting control operation of the target exhibition area according to the real-time optimal lighting object recognition data of the visitors in the target exhibition area, and repeat steps S1 to S7 until there are no visitors, and directly terminate the lighting control operation of the target exhibition area of ​​the venue.

[0027] For further information, see Figure 1 - Figure 2 ,The steps for collecting real-time image data of the target exhibition area are as follows: S11. Collect real-time on-site images of the target exhibition area of ​​the venue online through the cloud lens, and generate real-time image data of the target exhibition area The target exhibition area real-time image data represents the on-site image data of a specific target exhibition area in the venue at a specific time.

[0028] According to the real-time image data of the target exhibition area and the characteristic image data of the personnel in the venue exhibition area, the trace recognition processing of the visitors in the venue target exhibition area is performed to generate the identification data of the visitors in the target exhibition area. When there is no person, the operation steps of directly ending the lighting control operation of the venue target exhibition area are as follows: S21. Establishing a dataset of characteristic images of people in the exhibition area of ​​the venue , ;in Indicates 100 pieces of characteristic image data of people in the exhibition area of ​​the venue, Indicates the maximum value of the number of characteristic images of people in the exhibition area of ​​the venue, and the characteristic image data of people in the exhibition area of ​​the venue indicates the on-site image data of the exhibition area of ​​the venue when there are people watching in the exhibition area of ​​the venue; S22, using the KD tree nearest neighbor search algorithm to obtain the real-time image data of the target exhibition area The characteristic image data set of the exhibition area personnel Characteristic image data of people in the exhibition area of ​​the midfield hall Perform image feature matching and generate target exhibition area visitor identification data based on the image feature matching results ; when and If the image feature matching is successful, it means that there are traces of visitors in the target exhibition area of ​​the venue, and the identification data of visitors in the target exhibition area is output. For the existence of personnel; when and If the image features are not matched successfully, it means that there is no trace of visitors in the target exhibition area of ​​the venue, then the identification data of visitors in the target exhibition area will be output. Since there are no people, the lighting control operation of the target exhibition area of ​​the venue will be terminated directly at this time.

[0029] Through the target exhibition area real-time image acquisition unit, the cloud lens is used to dynamically obtain the real-time image information of the target exhibition area, providing reliable data support for the dynamic and accurate identification of the traces of visitors in the venue's target exhibition area; the venue exhibition area personnel feature image storage unit and the target exhibition area visitor identification unit cooperate with each other, and the venue exhibition area personnel feature image information is scientifically set in combination with the intelligent search algorithm and the target exhibition area real-time image information to perform intelligent dynamic identification of the traces of visitors in the venue's target exhibition area, thereby realizing dynamic and accurate monitoring of the traces of visitors in the venue's target exhibition area and improving the intelligence of the venue's lighting control.

[0030] For further information, see Figure 1 - Figure 2 When there are people, the appearance feature image data of the people in the target exhibition area is collected and the identity identification information of the people in the target exhibition area is constructed and processed. The operation steps for generating the identity identification data of the people in the target exhibition area are as follows: S31, when the target exhibition area visitors identify data When there are people, the cloud camera collects the front and full-body appearance feature image information of the people in the target exhibition area of ​​the venue online, and generates a data set of appearance feature images of the people in the target exhibition area. , ;in Indicates the collected The appearance feature image data of the target exhibition area visitors corresponding to the visitors, Indicates the maximum number of viewers; S32, collecting the appearance feature image data of the visitors in the target exhibition area Image data of appearance characteristics of visitors in the target exhibition area The corresponding appearance feature images and the number of visitors are processed for data combination identification to generate the target exhibition area visitor identity identification data set ,in Indicates The target exhibition area viewing personnel identity identification data corresponding to each viewing personnel, the target exhibition area viewing personnel identity identification data includes the identity number information and appearance feature image information of the target exhibition area viewing personnel, and the identity number information and the appearance feature image are in a one-to-one mapping relationship with each other.

[0031] According to the identity data of the visitors in the target exhibition area, the entity model of the spatial position of the visitors in the target exhibition area of ​​the venue is established and processed. The operation steps for generating the entity model data of the spatial position of the visitors in the target exhibition area are as follows: S41. Use 3D laser scanner to collect data on the identity of visitors in the target exhibition area Identity data of visitors to the target exhibition area According to the identity information, the physical modeling of the visitors and the real-life spatial positions in the target exhibition area of ​​the venue is carried out in order to generate a data set of the physical model of the spatial positions of the visitors in the target exhibition area. ,in Indicates The target exhibition area viewing personnel spatial position entity model data corresponding to each viewing personnel, the target exhibition area viewing personnel spatial position entity model data represents the overall entity model data consisting of the selected viewing personnel in the target exhibition area of ​​the venue and the on-site real scene environment of the exhibition area; the on-site real scene environment of the exhibition area includes the on-site real scene environment of the target exhibition area itself and the unselected viewing personnel.

[0032] Based on the target exhibition area viewing personnel spatial position entity model data and the target exhibition area spatial position entity model and spatial coordinate combination data, the spatial position coordinate analysis and processing of the target exhibition area viewing personnel in the venue is performed to generate the target exhibition area viewing personnel real-time spatial position coordinate data. The operation steps are as follows: S51. Establishing the spatial location entity model of the target exhibition area and the spatial coordinate combination data set , ;in Represents the physical model of the target exhibition area space location Middle The target exhibition area spatial position entity model and spatial coordinate combination data corresponding to each spatial position, Indicates the maximum number of spatial locations; physical model of the target exhibition area spatial location The three-dimensional entity model data of the target exhibition area of ​​the venue in the state where there are no visitors; the entity model of the spatial position of the target exhibition area and the spatial coordinate combination data represent the entity model of the spatial position of the target exhibition area and the spatial coordinate combination data corresponding to the spatial grid position uniformly established by grid division corresponding to the physical model of the target exhibition area of ​​the venue where the ground is stepped on by the visitors, wherein the entity model of the spatial position of the target exhibition area and the spatial coordinate combination data include the longitude, latitude and altitude of the entity model of the spatial position of the target exhibition area and the spatial position of the target exhibition area; S52, collecting the spatial position entity model data of the target exhibition area visitors Physical model data of the spatial position of visitors in the target exhibition area A data set that is numbered and ordered according to the number of visitors and is combined with the physical model and spatial coordinates of the target exhibition area Internal target exhibition area spatial location entity model and spatial coordinate combination data Physical model of the target exhibition area space location Perform physical model feature matching to search for physical model data of the target exhibition area's visitors' spatial location Matching target exhibition area spatial location entity model and spatial coordinate combination data The corresponding spatial coordinate parameters are used to generate the real-time spatial position coordinate data set of the target exhibition area visitors through data identification. , execute to generate the real-time spatial position coordinate data set of the target exhibition area visitors The specific steps are as follows: S521, initializing coordinates to search for the number of clans n of the elephant population, and setting the maximum number of iterations T; S522, calculate the fitness value of each coordinate search elephant individual, that is, calculate the spatial position entity model data of the viewing personnel in the target exhibition area Combined data set with the target exhibition area spatial location entity model and spatial coordinates The spatial location entity model and spatial coordinate combination data of the target exhibition area in the search space The fitness value is obtained to obtain the current optimal coordinates to search for the individual position of the elephant, that is, to obtain the physical model data of the spatial position of the viewing personnel in the target exhibition area The most matching target exhibition area spatial location entity model and spatial coordinate combination data ; S523, updating the entity model of the spatial position of each coordinate search elephant individual in the population and the spatial coordinate combination data set in the target exhibition area The position in the search space, the coordinate search elephant position update formula is ,in Indicated in The coordinates of the elephants are searched in the iterations Relative coordinate search for the leader of an elephant clan The entity model and spatial coordinate combination data set of the target exhibition area space location Position in the search space; Indicated in The coordinates of the elephants are searched in the iterations Relative coordinate search for the leader of an elephant clan The entity model and spatial coordinate combination data set of the target exhibition area space location Position in the search space; Indicates coordinate search for individual elephants Relative coordinate search for the leader of an elephant clan The entity model and spatial coordinate combination data set of the target exhibition area space location The best position in the search space, that is, the entity model and spatial coordinate combination data set of the target exhibition area space position Search the space to find the physical model data of the space location of the visitors in the target exhibition area The most matching target exhibition area spatial location entity model and spatial coordinate combination data location, Indicates that the value is The position influence factor, Represents coordinate search for the patriarch of the elephant population clan Search for individual elephants by coordinates The position influence factor, Indicates value Random number; Update the current optimal coordinate to search for the position of the individual elephant. The optimal coordinate to search for the position of the individual elephant is updated as follows: ,in Indicates that the value is The center position influence coefficient, Represents coordinate search for the patriarch of the elephant population clan The influence coefficient of the center position of the individual elephant on the entire coordinate search, Indicates the entire coordinate search elephant population individual in the coordinate search elephant population clan patriarch Coordinate search for the center position of the elephant population under the influence of coordinate search for the spatial position of the elephant individual in the target exhibition area, entity model and spatial coordinate combination data set Position in the search space; S524, calculate the fitness value of each coordinate search elephant individual after the update, analyze the coordinate search elephant population, and obtain the best and worst coordinate search elephant individual positions of the updated coordinate search elephant population, that is, the spatial position entity model and spatial coordinate combination data set of the target exhibition area Search the space to find the physical model data of the space location of the visitors in the target exhibition area The target exhibition area spatial location entity model and spatial coordinate combination data with the maximum and minimum fitness values location; S525, update the current worst coordinates to search for the individual position of the elephant, that is, the entity model and spatial coordinate combination data set of the target exhibition area space position Update the physical model data of the spatial location of the target exhibition area visitors in the search space The target exhibition area with the smallest fitness value has a spatial location entity model and spatial coordinate combination data The position of the elephant is updated with the worst coordinate search formula: ,in Indicates coordinate search for individual elephants Relative coordinate search for the leader of an elephant clan The entity model and spatial coordinate combination data set of the target exhibition area space location The worst position in the search space, and Represents the target exhibition area spatial location entity model and spatial coordinate combination data set Upper and lower bounds of the search space; Indicates value Random function; retain the optimal coordinates to search for the individual position of the elephant, that is, retain the entity model and spatial coordinate combination data set in the target exhibition area Search space and target exhibition area visitors spatial location entity model data The target exhibition area with the largest fitness value has a spatial location entity model and spatial coordinate combination data location; S526: When the maximum number of iterations is met, output the entity model data of the spatial position of the viewing personnel in the target exhibition area. The target exhibition area with the largest fitness value has a spatial location entity model and spatial coordinate combination data Otherwise, return to and repeat step S522; S527: Combine the target exhibition area spatial position entity model and spatial coordinate data output in step S526 The corresponding spatial coordinate parameters are used to generate the real-time spatial position coordinate data set of the target exhibition area visitors through data identification. ,in Indicates The real-time spatial position coordinate data of the target exhibition area viewers corresponding to each viewer, the real-time spatial position coordinate data of the target exhibition area viewers represent the spatial position coordinate parameters of the viewers in the target exhibition area of ​​the venue, the real-time spatial position coordinate data of the target exhibition area viewers include the longitude, latitude and altitude of the viewers' spatial position in the target exhibition area.

[0033] Through the cooperation of the appearance feature image acquisition unit of the target exhibition area viewers and the target exhibition area viewers identity identification information construction unit, the cloud lens is used to accurately obtain the appearance feature image information of the target exhibition area viewers and combined with data identification processing, the target exhibition area viewers identity identification information is scientifically and efficiently constructed, and the digital and accurate establishment of the identity information of the target exhibition area viewers of the venue is realized, and the humanization and accuracy of the venue lighting control is improved; the target exhibition area viewers space position entity model establishment unit, according to the target exhibition area viewers identity information combined with the three-dimensional laser scanner to accurately establish the space position entity model parameters of the viewers in the target exhibition area of ​​the venue, to provide real data support for the scientific and accurate positioning of the venue target exhibition area viewers position; the target exhibition area space position entity model and spatial coordinate combination parameter storage unit and the target exhibition area viewers space position coordinate analysis unit cooperate with each other, based on the target exhibition area space position entity model and spatial coordinate combination parameters stored in big data combined with intelligent recognition algorithm and the target exhibition area viewers space position entity model parameters to accurately locate the space position coordinates of the target exhibition area viewers of the venue, to realize the real-time lighting position accurate monitoring of the target exhibition area viewers, and improve the flexibility and accuracy of the venue lighting control.

[0034] For further information, see Figure 1 - Figure 2, based on the real-time spatial position coordinate data of the target exhibition area visitors and the spatial position coordinate data of the lighting lights of the target exhibition area visitors, the optimal lighting light object recognition processing of the spatial position of the target exhibition area visitors in the venue is performed, and the operation steps for generating the real-time optimal lighting light object recognition data of the target exhibition area visitors are as follows: S61. Establishing the spatial position coordinate data set of the lighting for visitors in the target exhibition area , ;in Indicates the target exhibition area The spatial position coordinate data of the lighting lights for the target exhibition area visitors corresponding to each lighting light, Indicates the maximum number of lighting lights; the spatial position coordinate data of the lighting lights for visitors in the target exhibition area indicates the spatial position coordinate data of the lighting lights evenly installed in the target exhibition area to provide lighting for visitors; the spatial position coordinates of the lighting lights for visitors in the target exhibition area include the longitude, latitude and altitude of the spatial position of the lighting lights; S62. Use the spatial distance formula to sequentially measure the real-time spatial position coordinate data set of the visitors in the target exhibition area according to the number of visitors. Real-time spatial location coordinate data of visitors in the target exhibition area The spatial position coordinate data set of the lighting for visitors in the target exhibition area The spatial position coordinate data of the lighting for visitors in the target exhibition area The spatial distance data of the target exhibition area is constructed, and the data set matrix of the distance between the target exhibition area visitors and the lighting space is constructed. ,in Indicates The data set of the distance between the target exhibition area viewers and the light space corresponding to each viewer, ,in Represents the data set of the distance between the target exhibition area visitors and the lighting space Middle Visitors and target exhibition area The distance data between the target exhibition area visitors and the lighting space corresponding to each lighting light, The unit is meter; S63, using iterative deepening algorithm to target exhibition area viewing personnel and lighting space distance data set matrix Data collection of the distance between the internal target exhibition area visitors and the lighting space The distance data between the target exhibition area visitors and the lighting space Compare the spatial distance values ​​and search for the target exhibition area with the smallest spatial distance value between the target exhibition area and each viewer and the spatial distance data between the viewer and the light. The corresponding target exhibition area lighting number text information, and generate the target exhibition area viewing personnel real-time optimal lighting object recognition data set through data identification ,in Indicates The real-time optimal lighting object recognition data for viewers in the target exhibition area corresponding to each viewer represents the identification text information of the lighting object in the target exhibition area of ​​the venue that is closest to the spatial distance of each viewer.

[0035] The target exhibition area lighting control operation is performed according to the real-time optimal lighting object recognition data of the target exhibition area visitors, and steps S1 to S7 are cyclically performed until there are no visitors, and the lighting control operation of the target exhibition area of ​​the venue is directly terminated as follows: S71, the venue lighting control center collects the real-time optimal lighting object recognition data for the target exhibition area visitors Real-time optimal lighting object recognition data for visitors in the target exhibition area The corresponding lighting object number information and the identification number information of the viewers control the lighting of the target exhibition area to provide real-time lighting operations for the corresponding viewers; at the same time, step S1 to step S7 are executed repeatedly until the identification data of the viewers in the target exhibition area is obtained. When there is no person, the lighting control operation of the target exhibition area of ​​the venue will be terminated directly.

[0036] Through the cooperation of the target exhibition area viewing personnel lighting spatial position coordinate storage unit and the target exhibition area viewing personnel optimal lighting object recognition unit, the optimal lighting objects required by the target exhibition area viewing personnel of the venue are scientifically screened based on the standard storage of the target exhibition area viewing personnel lighting spatial position coordinate parameters combined with the distance formula and the intelligent search algorithm and the real-time spatial position coordinate parameters of the target exhibition area viewing personnel, so as to achieve accurate dynamic matching of the real-time optimal lighting objects for the target exhibition area viewing personnel, and improve the scientificity and reliability of the venue lighting control; the target exhibition area lighting control operation execution unit, the venue lighting control center accurately and efficiently executes the target exhibition area lighting control operation according to the real-time optimal lighting object recognition parameters of the target exhibition area viewing personnel, and at the same time combines the venue target exhibition area personnel trace monitoring results to realize the dynamic execution of the target exhibition area lighting control operation, improve the lighting effect and user experience of the venue lighting control, and improve the quality and applicability of the venue lighting control.

[0037] Embodiment 2: See also Figure 1 - Figure 2, a venue intelligent lighting control system based on the Internet of Things, a venue intelligent lighting control method based on the Internet of Things, the system includes a venue exhibition area personnel recognition module, a venue exhibition area personnel position analysis module, and a venue exhibition area lighting control module; The venue exhibition area personnel identification module includes a target exhibition area real-time image acquisition unit, a venue exhibition area personnel feature image storage unit, and a target exhibition area viewing personnel identification unit; The target exhibition area real-time image acquisition unit collects the real-time image data of the target exhibition area through the cloud lens; the venue exhibition area personnel feature image storage unit is used to store the venue exhibition area personnel feature image data; the target exhibition area viewing personnel identification unit performs the viewing personnel trace identification processing in the venue target exhibition area according to the target exhibition area real-time image data and the venue exhibition area personnel feature image data, and generates the target exhibition area viewing personnel identification data; The venue exhibition area personnel identification module includes a target exhibition area viewing personnel appearance feature image acquisition unit, a target exhibition area viewing personnel identity identification information construction unit, a target exhibition area viewing personnel space position entity model establishment unit, a target exhibition area space position entity model and space coordinate combination parameter storage unit, and a target exhibition area viewing personnel space position coordinate analysis unit; The appearance feature image acquisition unit of the target exhibition area viewers collects the appearance feature image data of the target exhibition area viewers through the cloud lens; the target exhibition area viewers identity identification information construction unit performs the construction processing of the identity identification information of the target exhibition area viewers in the venue according to the appearance feature image data of the target exhibition area viewers, and generates the identity identification data of the target exhibition area viewers; the target exhibition area viewers space position entity model establishment unit performs the entity model establishment processing of the spatial position of the viewers in the target exhibition area of ​​the venue according to the identity identification data of the target exhibition area viewers in combination with the three-dimensional laser scanner, and generates the target exhibition area viewers space position entity model data; the target exhibition area space position entity model and spatial coordinate combination parameter storage unit is used to store the target exhibition area space position entity model and spatial coordinate combination data; the target exhibition area viewers space position coordinate analysis unit performs the space position coordinate analysis processing of the target exhibition area viewers in the venue based on the target exhibition area viewers space position entity model data and the target exhibition area space position entity model and spatial coordinate combination data, and generates the target exhibition area viewers real-time space position coordinate data; The lighting control module of the exhibition area of ​​the venue includes a target exhibition area viewing personnel lighting space position coordinate storage unit, a target exhibition area viewing personnel optimal lighting object recognition unit, and a target exhibition area lighting control operation execution unit; The target exhibition area lighting spatial position coordinate storage unit is used to store the target exhibition area lighting spatial position coordinate data; the target exhibition area optimal lighting object recognition unit performs optimal lighting object recognition processing for the spatial position of the target exhibition area of ​​the venue based on the target exhibition area viewing personnel real-time spatial position coordinate data and the target exhibition area viewing personnel lighting spatial position coordinate data, and generates the target exhibition area viewing personnel real-time optimal lighting object recognition data; the target exhibition area lighting control operation execution unit, the venue lighting control center executes the target exhibition area lighting control operation based on the target exhibition area viewing personnel real-time optimal lighting object recognition data, until there are no people in the target exhibition area of ​​the venue, and directly ends the current venue target exhibition area lighting control operation.

[0038] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A venue intelligent lighting control method based on the Internet of Things, characterized in that: The method comprises the following steps: S1. Collect real-time image data of the target exhibition area; S2, performing tracking recognition of visitors in the target exhibition area of ​​the venue according to the real-time image data of the target exhibition area and the characteristic image data of visitors in the venue exhibition area, generating identification data of visitors in the target exhibition area, and directly ending the lighting control operation of the target exhibition area of ​​the venue when no visitors exist; S3. When there are people, collect the appearance feature image data of the people in the target exhibition area and construct and process the identity identification information of the people in the target exhibition area to generate the identity identification data of the people in the target exhibition area; S4, establishing a physical model of the spatial position of the visitors in the target exhibition area according to the identity identification data of the visitors in the target exhibition area, and generating physical model data of the spatial position of the visitors in the target exhibition area; S5, performing spatial position coordinate analysis and processing of the target exhibition area viewers based on the target exhibition area viewing personnel spatial position entity model data and the target exhibition area spatial position entity model and spatial coordinate combination data, and generating real-time spatial position coordinate data of the target exhibition area viewers; S6, performing optimal lighting object recognition processing for the spatial position of the target exhibition area viewers according to the real-time spatial position coordinate data of the target exhibition area viewers and the lighting spatial position coordinate data of the target exhibition area viewers, and generating real-time optimal lighting object recognition data for the target exhibition area viewers; S7, executing the target exhibition area lighting control operation according to the real-time optimal lighting object recognition data of the target exhibition area visitors, and looping through steps S1 to S7 until there are no visitors, directly terminating the current venue target exhibition area lighting control operation.

2. According to the method of claim 1, the venue intelligent lighting control method based on the Internet of Things is characterized by: The S1 comprises the following steps: S11. Collect real-time on-site images of the target exhibition area of ​​the venue online through the cloud lens, and generate real-time image data of the target exhibition area .

3. According to the method of intelligent lighting control of a venue based on the Internet of Things according to claim 2, it is characterized in that: The S2 comprises the following steps: S21. Establishing a dataset of characteristic images of people in the exhibition area of ​​the venue , ;in Indicates 100 pieces of characteristic image data of people in the exhibition area of ​​the venue, Indicates the maximum number of characteristic images of people in the exhibition area of ​​the venue; S22, using the KD tree nearest neighbor search algorithm to With the As stated in Perform image feature matching and generate target exhibition area visitor identification data based on the image feature matching results ; when and If the image feature matching is successful, the identification data of the visitors in the target exhibition area will be output. For the existence of personnel; when and If the image features are not matched successfully, the identification data of the visitors in the target exhibition area will be output. Since there are no people, the lighting control operation of the target exhibition area of ​​the venue will be terminated directly at this time.

4. The venue intelligent lighting control method based on the Internet of Things according to claim 3 is characterized by: The S3 comprises the following steps: S31, when the When there are people, the cloud camera collects the front and full-body appearance feature image information of the people in the target exhibition area of ​​the venue online, and generates a data set of appearance feature images of the people in the target exhibition area. , ;in Indicates the collected The appearance feature image data of the target exhibition area visitors corresponding to the visitors, Indicates the maximum number of viewers; S32, the As stated in The corresponding appearance feature images and the number of visitors are processed for data combination identification to generate the target exhibition area visitor identity identification data set ,in Indicates The identity identification data of the visitors in the target exhibition area corresponding to each visitor.

5. The method for controlling venue lighting based on the Internet of Things according to claim 4 is characterized in that: The S4 comprises the following steps: S41, using a three-dimensional laser scanner according to the As stated in According to the identity information, the physical modeling of the visitors and the real-life spatial positions in the target exhibition area of ​​the venue is carried out in order to generate a data set of the physical model of the spatial positions of the visitors in the target exhibition area. ,in Indicates The spatial position entity model data of the target exhibition area visitors corresponding to each visitor.

6. The venue intelligent lighting control method based on the Internet of Things according to claim 5 is characterized by: The S5 comprises the following steps: S51. Establishing the spatial location entity model of the target exhibition area and the spatial coordinate combination data set , ;in Represents the physical model of the target exhibition area space location Middle The target exhibition area spatial position entity model and spatial coordinate combination data corresponding to each spatial position, Indicates the maximum number of spatial locations; S52, the As stated in According to the number of visitors, they are numbered in order and described Internal As stated in Perform entity model feature matching and search for Matching the The corresponding spatial coordinate parameters are used to generate the real-time spatial position coordinate data set of the target exhibition area visitors through data identification. , execute to generate the real-time spatial position coordinate data set of the target exhibition area visitors The specific steps are as follows: S521, initializing coordinates to search for the number of clans n of the elephant population, and setting the maximum number of iterations T; S522, calculate the fitness value of each coordinate search elephant individual, that is, calculate the With the The search space The fitness value of the current optimal coordinates is obtained to search for the individual position of the elephant, that is, the The best match for ; S523, update each coordinate in the population to search for elephant individuals in the Search the position in the space and update the current optimal coordinates to search for the position of the individual elephant; S524, calculate the fitness value of each coordinate search elephant individual after the update, analyze the coordinate search elephant population, and obtain the optimal and worst coordinate search elephant individual positions of the updated coordinate search elephant population, that is, in the Search the search space for The fitness value with the largest and the fitness value with the smallest location; S525, update the current worst coordinates to search for the individual position of the elephant, that is, The search space is updated with the The one with the smallest fitness value Keep the optimal coordinates to search for the individual elephant positions, that is, keep The search space is The one with the largest fitness value location; S526, when the maximum number of iterations is met, output The one with the largest fitness value Otherwise, return to and repeat step S522; S527: the output in step S526 The corresponding spatial coordinate parameters are used to generate the real-time spatial position coordinate data set of the target exhibition area visitors through data identification. ,in Indicates The real-time spatial position coordinate data of the viewers in the target exhibition area corresponding to each viewer.

7. The venue intelligent lighting control method based on the Internet of Things according to claim 6 is characterized by: The S6 comprises the following steps: S61. Establishing the spatial position coordinate data set of the lighting for visitors in the target exhibition area , ;in Indicates the target exhibition area The spatial position coordinate data of the lighting lights for the target exhibition area visitors corresponding to each lighting light, Indicates the maximum number of lighting lights; S62, using the spatial distance formula to measure the number of spectators in an orderly manner As stated in With the As stated in The spatial distance data of the target exhibition area is constructed, and the data set matrix of the distance between the target exhibition area visitors and the lighting space is constructed. ,in Indicates The data set of the distance between the target exhibition area viewers and the light space corresponding to each viewer, ,in Indicates the Middle Visitors and target exhibition area The distance data between the target exhibition area visitors and the lighting space corresponding to each lighting light, The unit is meter; S63, using an iterative deepening algorithm to Internal In Compare the spatial distance values ​​and search for the target exhibition area with the smallest spatial distance value between each spectator. The corresponding target exhibition area lighting number text information, and generate the target exhibition area viewing personnel real-time optimal lighting object recognition data set through data identification ,in Indicates Real-time optimal lighting object recognition data for each target exhibition area viewer corresponding to each viewer.

8. The method for controlling venue intelligent lighting based on the Internet of Things according to claim 7 is characterized in that: The S7 comprises the following steps: S71, the venue lighting control center is based on the As stated in The corresponding lighting object number information and the identity number information of the spectator control the lighting of the target exhibition area to provide real-time lighting operations for the corresponding spectators; and at the same time, step S1 to step S7 are executed repeatedly until the When there is no person, the lighting control operation of the target exhibition area of ​​the venue will be terminated directly.

9. An intelligent lighting control system for a venue based on the Internet of Things, used to implement an intelligent lighting control method for a venue based on the Internet of Things as claimed in any one of claims 1 to 8, characterized in that: The system includes a venue exhibition area personnel identification module, a venue exhibition area personnel position analysis module, and a venue exhibition area lighting control module.

Images