Illumination scene control method and system

Abstract

The invention provides an illumination scene control method and system, and is suitable for the technical field of new-generation information, and the method comprises the steps: carrying out the illumination control communication resource block distribution of pedestrian scene illumination equipment information and driving scene illumination equipment information according to pedestrian moving speed information and driving moving speed information, obtaining pedestrian lighting scene control resource block information and driving lighting scene control resource block information; and analyzing the illumination control instruction information acquired in real time, and sending the analyzed illumination control instruction information to the illumination equipment according to the pedestrian illumination scene control resource block information and the driving illumination scene control resource block information, so that the illumination equipment performs illumination scene control. According to the invention, the illumination scene is automatically distinguished into the pedestrian scene and the driving scene, and the wireless communication resources are dynamically allocated in combination with the pedestrian speed information and the driving speed information to adapt to the real-time requirements of different illumination scenes, so that the intelligent illumination control energy efficiency of a smart city is improved.

Description

Technical Field

[0001] The present application belongs to the field of new generation information technology, and in particular relates to a lighting scene control method and system. Background Art

[0002] Amid the current boom in smart city development, lighting systems, as a key component of urban infrastructure, are undergoing a profound transformation from traditional to intelligent systems. Intelligent lighting systems are no longer limited to simple on / off control; instead, they strive to meet the diverse lighting needs of different scenarios within smart cities.

[0003] In the prior art, lighting control is usually performed by collecting environmental data through sensors. For example, a light sensor is used to sense the intensity of ambient light to adjust the lighting brightness; or the brightness and lighting duration of street lights are adjusted by sensing pedestrian travel conditions.

[0004] However, when faced with complex and changeable actual lighting scenes, the existing lighting system lacks the ability to capture dynamically changing scene information and cannot make timely and reasonable adjustments according to different lighting scenes, which will cause energy waste. Summary of the Invention

[0005] In view of this, the embodiments of the present application provide a lighting scene control method and system, which aims to solve the problems in the prior art that are unable to effectively capture and distinguish lighting scenes, unable to achieve dynamic lighting control for different lighting scenes, and resulting in low energy utilization efficiency.

[0006] A first aspect of an embodiment of the present application provides a lighting scene control method, including:

[0007] Obtaining lighting scene image information;

[0008] Analyzing and calculating the lighting scene image information according to a preset lighting scene image feature mapping matrix to obtain pedestrian lighting scene image information and vehicle lighting scene image information;

[0009] Determining pedestrian scene lighting equipment information, pedestrian movement speed information, vehicle scene lighting equipment information, and vehicle movement speed information based on the pedestrian lighting scene image information and the vehicle lighting scene image information;

[0010] According to the pedestrian movement speed information, the vehicle movement speed information, and the preset number of lighting control communication resource blocks, the pedestrian scene lighting equipment information and the vehicle scene lighting equipment information are allocated lighting control communication resource blocks to obtain pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information;

[0011] The lighting control command information acquired in real time is parsed and processed based on a plurality of preset lighting control signal projection matrices, and the parsed lighting control command information is sent to the lighting device according to the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information, so that the lighting device performs lighting scene control.

[0012] A second aspect of the embodiments of the present application provides a lighting scene control system, including:

[0013] A lighting scene image information acquisition module is used to acquire lighting scene image information;

[0014] A lighting scene image information analysis module is used to analyze and calculate the lighting scene image information according to a preset lighting scene image feature mapping matrix to obtain pedestrian lighting scene image information and vehicle lighting scene image information;

[0015] A scene lighting equipment information and movement speed information generation module is used to determine pedestrian scene lighting equipment information, pedestrian movement speed information, driving scene lighting equipment information and vehicle movement speed information based on the pedestrian lighting scene image information and the driving lighting scene image information;

[0016] a lighting control communication resource block allocation module, configured to allocate lighting control communication resource blocks to the pedestrian scene lighting device information and the vehicle scene lighting device information based on the pedestrian movement speed information, the vehicle movement speed information, and the preset lighting control communication resource block quantity information, thereby obtaining pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information;

[0017] The lighting control instruction information parsing and sending module is used to parse and process the lighting control instruction information obtained in real time based on multiple preset lighting control signal projection matrices, and send the parsed lighting control instruction information to the lighting equipment according to the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information, so that the lighting equipment can perform lighting scene control.

[0018] A third aspect of an embodiment of the present application provides a terminal device, which includes a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the steps of the lighting scene control method described in the first aspect above are implemented.

[0019] Compared with the prior art, the beneficial effects of the embodiments of the present application are as follows: the present application analyzes the lighting scene image information through the lighting scene image feature mapping matrix to automatically and accurately identify the pedestrian scene information and the driving scene information, to perform real-time perception of the pedestrian movement speed information and the driving movement speed information, to combine the pedestrian movement speed information and the driving movement speed information and the number of lighting control communication resource blocks, to adaptively allocate wireless communication resources for the pedestrian scene information and the driving scene information, to adapt to the lighting control requirements with high delay tolerance in the pedestrian scene information and high real-time requirements in the driving scene information, thereby ensuring the reliability of lighting control while avoiding energy waste, so as to improve the efficiency of smart lighting in smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0021] Figure 1 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 1 of the present application;

[0022] Figure 2 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 2 of the present application;

[0023] Figure 3 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 3 of the present application;

[0024] Figure 4 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 4 of the present application;

[0025] Figure 5 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 5 of the present application;

[0026] Figure 6 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 6 of the present application;

[0027] Figure 7 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 7 of the present application;

[0028] Figure 8 This is a schematic diagram of the implementation flow of the lighting scene control method provided in Example 8 of the present application;

[0029] Figure 9This is a schematic diagram of the structure of the lighting scene control system provided by an embodiment of the present application;

[0030] Figure 10 It is a schematic diagram of the terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0032] In order to illustrate the technical solution described in this application, specific embodiments are provided below.

[0033] Figure 1 The following is a flowchart of the lighting scene control method according to the first embodiment of the present application, which is described in detail as follows:

[0034] Step S101: Acquire lighting scene image information.

[0035] In this embodiment, lighting scene image information may refer to visual data acquired by an image acquisition device and used to analyze the lighting environment. This visual data can be used to intuitively represent the lighting scene environment and the dynamic changes of moving objects. The scene environment may refer to sidewalks, squares, underground passages, pedestrian streets, urban highways, parking lots, etc. within parks or residential areas. The dynamic changes of moving objects may include information on the movement speed of pedestrians and vehicles.

[0036] In this embodiment, optionally, the lighting scene image information is acquired by a camera installed on a city lighting device or a monitoring device installed in a city public space.

[0037] Step S102 : analyzing and calculating the lighting scene image information according to a preset lighting scene image feature mapping matrix to obtain pedestrian lighting scene image information and vehicle lighting scene image information.

[0038] In this embodiment, the preset lighting scene image feature mapping matrix can be set manually and can be used to perform feature extraction and analytical calculations on the lighting scene image information, and then classify the extracted lighting scene image features to distinguish between driving lighting scene image information and driving lighting scene image information.

[0039] In this embodiment, optionally, the lighting scene image information may be first converted into a matrix with multiple dimensions having the same dimensions as the lighting scene image feature mapping matrix to generate a lighting scene image information matrix, and then the lighting scene image feature mapping matrix and the lighting scene image information matrix are convolved, and the result of the convolution calculation is used as the lighting scene image feature. Then, the similarity between the lighting scene image features may be calculated, such as by calculating the cosine similarity, and a similarity threshold is set. The calculated similarity is then compared with the set similarity threshold, and the two lighting scene image features corresponding to the similarity less than or equal to the similarity threshold are classified as image features under the same scene, and the two lighting scene image features corresponding to the similarity greater than the similarity threshold are classified as image features under different scenes, thereby summarizing and formatting the image features of the two different lighting scenes, and regenerating the driving lighting scene image information and the driving lighting scene image information.

[0040] Step S103 : determining pedestrian scene lighting equipment information, pedestrian moving speed information, driving scene lighting equipment information, and vehicle moving speed information based on the pedestrian lighting scene image information and the vehicle lighting scene image information.

[0041] In this embodiment, an optical flow method may be used to determine pedestrian and vehicle speed information in pedestrian and vehicle lighting scene image information. The shooting locations of the pedestrian and vehicle lighting scene image information may be extracted, and lighting equipment information for each lighting scene, including pedestrian and vehicle lighting equipment information, may be determined based on the lighting equipment filing information and usage records for each lighting area. The lighting equipment information may refer to various attributes, states, and configuration parameters of the lighting equipment, which are used to uniquely identify the lighting equipment and describe its functional characteristics. Specifically, it may include the lighting equipment ID, the longitude and latitude coordinates of the lighting equipment location, the installation height and orientation, the lighting function, power parameters, the light intensity range, the on / off status, etc. The lighting functions may include main road lighting, sidewalk lighting, and emergency lighting, etc.

[0042] In this embodiment, the YOLO algorithm can also be used to detect pedestrians and vehicles in the pedestrian lighting scene image information and the driving lighting scene image information, and track the pedestrians and vehicles in the pedestrian lighting scene image information and the driving lighting scene image information. Through tracking calculation, the pedestrian movement speed information and the driving movement speed information are identified.

[0043] In this embodiment, the optical flow method can also be used to detect pedestrians and vehicles in multiple pedestrian lighting scene image information and multiple vehicle lighting scene image information, and track and identify pedestrians and vehicles to obtain pedestrian movement speed information and vehicle movement speed information.

[0044] Step S104, according to the pedestrian movement speed information, the vehicle movement speed information and the preset lighting control communication resource block quantity information, the pedestrian scene lighting equipment information and the vehicle scene lighting equipment information are allocated and processed to obtain pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information.

[0045] In this embodiment, the number of lighting control communication resource blocks refers to the quantized number of NRPUSCH time-frequency resources used to carry lighting control commands. In a smart city lighting intelligent control system, different numbers of lighting control communication resource blocks are used to transmit corresponding lighting control commands or control information in different lighting scenarios, thereby achieving precise control of lighting device communication latency in different scenarios. Each lighting control communication resource block consists of one or more subcarriers and one or more time slots. For example, a lighting control communication resource block can consist of 12 consecutive subcarriers and 1 time slot. It can be understood that the more lighting control communication resource blocks a lighting device has available, the more channel resources can be used to transmit control data within a limited time period, the more and more densely the control data can be transmitted within a limited time period, and the lower the control latency. The fewer lighting control communication resource blocks a lighting device has available, the fewer channel resources can be used to transmit control data within a limited time period, the less and more sparsely the control data can be transmitted within a limited time period, and the higher the control latency. Among them, NR PUSCH is a physical channel in the 5G NR standard, which is used for uplink transmission of service data and signaling data. In lighting scene control, it can be used to transmit brightness adjustment instructions and switch status control instructions for lighting equipment. It can be understood that in pedestrian lighting scenarios, such as sidewalks in parks, sidewalks in residential communities, pedestrian streets and other scenarios, pedestrians move slowly, and the tolerance for lighting control delay is higher. The transmission period of lighting control data can be 1000ms or 500ms. In driving lighting scenarios, such as roads, highways, and intersections in cities, vehicles move quickly and have low tolerance for delay. They have requirements for low delay and high communication reliability. If the same communication resource blocks are allocated as for pedestrian lighting scenarios, and the same delay requirements as for pedestrian lighting scenarios are adopted, it is very likely that the vehicle has passed but the lighting equipment has not received it. If the control instruction to turn on is received, it will cause a great hidden danger to driving at night. Therefore, it is necessary to adjust the transmission cycle of lighting control data to within 10ms, or even within 1ms, that is, respond immediately when the vehicle appears on the monitoring screen, and transmit lighting function turning on information or light intensity increase information to the lighting equipment based on millisecond-level delay to increase the safety of driving at night. The method of adjusting the lighting control information transmission cycle is to allocate more lighting control communication resource blocks to the lighting equipment in the driving lighting scene, and by allocating different numbers of lighting control communication resource blocks to the communication equipment in different lighting scenes in the same time period, differentiated control of different lighting scenes can be achieved.For example, within the same lighting control communication cycle and the same communication frequency band, if the lighting equipment in the pedestrian lighting scene is allocated 150 lighting control communication resource blocks and the lighting equipment in the vehicle lighting scene is allocated 275 lighting control communication resource blocks, this means that within the same communication control cycle and the same frequency band, the lighting equipment in the pedestrian lighting scene can exchange control information 150 times, while the lighting equipment in the vehicle lighting scene can exchange control information 275 times. Consequently, the response latency of the lighting equipment in the pedestrian lighting scene is higher than that of the lighting equipment in the vehicle lighting scene. The preset number of lighting control communication resource blocks can be obtained by counting the number of wireless communication resource blocks available for lighting control in the region or area of the smart city, or can be the number of communication resource blocks used for lighting control divided from all communication resource blocks used for wireless communication between urban road equipment, or can be manually set. It will be understood that this embodiment only considers lighting scenarios with only pedestrians and only vehicles. For lighting scenarios with both pedestrians and vehicles, the speed of pedestrians can be ignored and lighting control communication resource blocks can be allocated based on the speed of the vehicles.

[0046] In this embodiment, optionally, when allocating lighting control communication resource blocks, the real-time requirements of pedestrian lighting scenes and driving lighting scenes may be evaluated first. Pedestrians move at a slower speed and have a higher tolerance for lighting control delays. A higher pedestrian lighting scene basic delay may be set based on the pedestrian movement speed in historical data and the delay may be appropriately extended in combination with the speed. The pedestrian lighting scene basic delay may be manually set based on experience, and the delay may be dynamically adjusted according to the pedestrian movement speed information. An adjustment coefficient that changes with speed may be set, for example, an increase in pedestrian speed may be increased by 1% for each increase in pedestrian speed. For vehicles traveling at high speeds, the latency is reduced by 20ms. For vehicles traveling at high speeds, the tolerance for lighting control latency is low. A lower base latency for driving lighting scenarios can be set based on historical vehicle speed data and appropriately shortened based on speed. Alternatively, a base latency for driving lighting scenarios can be manually set based on experience, and then dynamically adjusted based on vehicle speed information. A speed-dependent adjustment factor can be set, for example, reducing the latency by 50ms for every 1m / s increase in speed to ensure latency is below 10ms even for high-speed vehicles. The base latency for pedestrian lighting scenarios can be 480ms, and the base latency for driving lighting scenarios can be 5ms. Then, based on the real-time pedestrian speed information and vehicle speed information, the differentiated control requirements for different lighting scenes can be met, and then the preset lighting control communication resource block quantity information can be allocated according to the delay ratio of the pedestrian lighting scene and the vehicle lighting scene. The longer the pedestrian delay, the lower the allocation ratio, and the shorter the vehicle delay, the higher the allocation ratio. The total number of resource blocks is allocated according to this ratio, and the calculation results are rounded and adjusted to ensure that the number of communication resource blocks is an integer and the total amount does not exceed the limit, thereby obtaining the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information to achieve dynamic and differentiated resource allocation and balance the control requirements and resource utilization efficiency of different lighting scenes.

[0047] Step S105: Parse and process the lighting control command information acquired in real time based on multiple preset lighting control signal projection matrices, and send the parsed lighting control command information to the lighting equipment according to the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information, so that the lighting equipment performs lighting scene control.

[0048] In this embodiment, multiple preset lighting control signal projection matrices can be manually set to represent the mapping relationship between lighting control command information and physical control parameters. The real-time lighting control command information can include brightness adjustment control commands, lighting device on / off state control commands, and lighting mode switching control commands, such as "reduce brightness by 30% in pedestrian scenarios" and "enable high-light mode in driving scenarios." These commands can be acquired in real time via sensors or by a lighting device management system. Multiple real-time lighting control command information can be processed in parallel using multiple lighting control signal projection matrices. Each lighting control signal projection matrix can correspond to a parsing rule, for example, with the first lighting control signal projection matrix used to parse lighting device brightness adjustment commands for pedestrian lighting scenarios, and the second lighting control signal projection matrix used to parse on / off commands for driving lighting scenarios. Through the parsing of the lighting control signal projection matrices, multi-source heterogeneous lighting control commands are converted into executable physical parameters, such as voltage values, current values, and digital signal codes. The time-frequency resource ranges that can be occupied by lighting control commands in pedestrian and driving lighting scenarios are determined using the control resource block information for pedestrian and driving lighting scenarios, respectively. For example, 50 resource blocks are allocated to the pedestrian lighting scene, and 3,000 resource blocks are allocated to the driving lighting scene. Each resource block corresponds to a specific subcarrier and time slot. The parsed lighting control instruction information is encapsulated and modulated according to the resource block allocation result, and then the lighting control instructions for lighting equipment in different scenes are transmitted through the resource blocks under different lighting scenes. In this way, the lighting control instructions for different lighting scenes are transmitted using different time-frequency resources, thus achieving differentiated control of lighting scenes while avoiding signal conflicts.

[0049] In this embodiment, when the encapsulated lighting control command information is sent to the target lighting device through the pedestrian lighting scene control resource block information and the driving lighting scene control resource block information in the NR PUSCH channel, the command signal of the parsed and allocated resource block can be modulated to the corresponding subcarrier and time slot according to the geographical location or communication address of the lighting device, and transmitted through the wireless channel. After receiving the signal, the lighting device demodulates the control parameters and performs corresponding operations. For example, the lamps in the pedestrian lighting scene reduce the brightness according to the instruction, and the lamps in the driving lighting scene switch to high-speed response mode, thereby realizing differentiated lighting control based on the lighting scene.

[0050] The lighting scene control method provided in the embodiment of the present application analyzes lighting scene image information through a lighting scene image feature mapping matrix to automatically and accurately identify pedestrian scene information and driving scene information, to perform real-time perception of pedestrian movement speed information and driving movement speed information, and to adaptively allocate wireless communication resources for pedestrian scene information and driving scene information by combining pedestrian movement speed information and driving movement speed information and information on the number of lighting control communication resource blocks, so as to adapt to lighting control requirements with high latency tolerance in pedestrian scene information and high real-time requirements in driving scene information, thereby avoiding energy waste while ensuring the reliability of lighting control, and improving the efficiency of smart lighting in smart cities.

[0051] Figure 2 The flowchart of the lighting scene control method provided in the second embodiment of the present application is shown. The difference between the second embodiment and the first embodiment is that step S102 specifically includes:

[0052] Step S201: Generate a lighting scene image matrix according to the lighting scene image information.

[0053] In this embodiment, the acquired lighting scene image information may be preprocessed by using operations such as grayscale conversion, normalization, and noise reduction, and then the preprocessed lighting scene image information is arranged in the form of a pixel matrix to generate a unified lighting scene image matrix with multiple dimensions.

[0054] Step S202 : performing region extraction on the lighting scene image matrix according to a preset lighting scene image matrix region extraction window to generate a plurality of lighting scene image sub-matrices.

[0055] In this embodiment, the preset illumination scene image matrix region extraction window can be manually set, and can be 16×16. The illumination scene image matrix region extraction window can be used to perform sliding sampling on the illumination scene image matrix, and the area covered by each window is extracted as an independent illumination scene image sub-matrix. The illumination scene image sub-matrix can include local features in the illumination scene, such as pedestrian areas, driving areas, etc.

[0056] Step S203 : generating a plurality of lighting scene image feature mapping information according to the plurality of lighting scene image sub-matrices and a preset lighting scene image feature mapping matrix.

[0057] In this embodiment, the preset lighting scene image feature mapping matrix can be manually set, and the dimensions of the lighting scene image feature mapping matrix can be consistent with the dimensions of the lighting scene image sub-matrix. A convolution calculation is performed on the lighting scene image feature mapping matrix and the lighting scene image sub-matrix, and the convolution calculation result is used as the lighting scene image feature mapping information.

[0058] Step S204 , obtaining pedestrian lighting scene image information and vehicle lighting scene image information according to the plurality of lighting scene image feature mapping information, the preset pedestrian lighting scene image feature calibration vector and the preset vehicle lighting scene image feature calibration vector.

[0059] In this embodiment, the preset pedestrian lighting scene image feature calibration vector and the preset vehicle lighting scene image feature calibration vector can be manually set. The similarity between each lighting scene image feature mapping information and the pedestrian lighting scene image feature calibration vector and the vehicle lighting scene image feature calibration vector can be calculated, or cosine similarity can be calculated. Alternatively, the plurality of lighting scene image feature mapping information can be classified into feature information of pedestrian lighting scene image information and feature information of vehicle lighting scene image information based on the similarity, and the two types of feature information are aggregated to obtain pedestrian lighting scene image information and vehicle lighting scene image information, thereby achieving scene differentiation of the lighting scene image information.

[0060] The lighting scene control method provided in the embodiment of the present application samples and processes the lighting scene image information through a lighting scene image matrix area extraction window, comprehensively captures the pedestrian image features and vehicle image features in the lighting scene image information, and maps the pedestrian image features and vehicle image features through a lighting scene image feature mapping matrix to increase the logical distance between each image feature information, strengthen and highlight each pedestrian image feature and vehicle image feature, and enhance the accuracy and robustness of the scene distinction calculation of the lighting scene image information.

[0061] Figure 3 The flowchart of the lighting scene control method provided in the third embodiment of the present application is shown. The difference between the third embodiment and the second embodiment is that the step S204 specifically includes:

[0062] Step S301 : calculating the mean of each lighting scene image feature mapping information to obtain a plurality of lighting scene image feature representation information.

[0063] In this embodiment, the feature vectors in each lighting scene image feature mapping information can be statistically averaged to obtain the mean vector of the lighting scene image feature mapping information, and the mean vector can be used as the representative feature of each lighting scene image feature mapping information, thereby being used as the lighting scene image feature representation information for subsequent calculations.

[0064] Step S302 : Calculate the covariance of the plurality of lighting scene image feature mapping information and the plurality of lighting scene image feature representation information to generate a lighting scene image feature variable matrix.

[0065] In this embodiment, the covariance between each lighting scene image feature mapping information and its corresponding mean vector, that is, the lighting scene image feature representation information, is calculated to capture the linear relationship between each lighting scene image feature mapping information, and the calculated multiple covariance values are converted into a matrix form. Each element in the matrix is a specific value of a covariance, so that the matrix is used as the lighting scene image feature variable matrix. The lighting scene image feature variable matrix is used to reflect the correlation between each lighting scene image feature, which facilitates the subsequent eigenvalue decomposition to extract the most discriminative feature dimension and enhance the accuracy of lighting scene classification.

[0066] Step S303 : performing eigenvalue decomposition processing on the lighting scene image characteristic variable matrix to obtain lighting scene image characteristic vectors corresponding to a plurality of lighting scene image eigenvalues.

[0067] In this embodiment, the eigenvalue decomposition process may be a process of decomposing a lighting scene image feature variable matrix into lighting scene image eigenvalues and lighting scene image eigenvectors. Specifically, the lighting scene image feature variable matrix is a symmetric positive definite matrix, and the lighting scene image feature variable matrix may be decomposed into a diagonal matrix and an orthogonal matrix composed of lighting scene image eigenvectors, each column of the orthogonal matrix corresponds to a lighting scene image eigenvector, and the non-zero element values in the diagonal matrix are used as lighting scene image eigenvalues.

[0068] Step S304 , calculating pedestrian lighting scene image feature correlation information and vehicle lighting scene image feature correlation information based on the lighting scene image feature vector, the preset pedestrian lighting scene image feature calibration vector, and the preset vehicle lighting scene image feature calibration vector.

[0069] In this embodiment, the extracted lighting scene image feature vector can be respectively calculated for similarity with the preset pedestrian lighting scene image feature calibration vector and the driving lighting scene image feature calibration vector, or the Euclidean distance can be calculated. The calculation results can be used as pedestrian lighting scene image feature correlation information and driving lighting scene image feature correlation information, that is, used to represent the degree of correlation between the lighting scene image feature vector and the pedestrian lighting scene image and the driving lighting scene image.

[0070] Step S305 , determining whether the pedestrian lighting scene image feature correlation information is greater than the vehicle lighting scene image feature correlation information; if so, proceeding to step S306 ; if not, proceeding to step S307 .

[0071] In this embodiment, by comparing the numerical values of the pedestrian lighting scene image feature correlation information with the vehicle lighting scene image feature correlation information, it is determined whether the currently acquired lighting scene image belongs to pedestrian lighting scene image information or vehicle lighting scene image information. When the pedestrian lighting scene image feature correlation information is greater than the vehicle lighting scene image feature correlation information, it indicates that the lighting scene image has a high probability of belonging to pedestrian lighting scene image information and further calculation and judgment is required. When the pedestrian lighting scene image feature correlation information is less than or equal to the vehicle lighting scene image feature correlation information, it indicates that the lighting scene image has a high probability of belonging to vehicle lighting scene image information and further calculation and judgment is required.

[0072] Step S306, determine whether the pedestrian lighting scene image feature correlation information is greater than or equal to a preset pedestrian lighting scene image correlation threshold; if so, obtain the pedestrian lighting scene image information based on the lighting scene image information corresponding to the pedestrian lighting scene image feature correlation information; if not, skip the lighting scene image information corresponding to the pedestrian lighting scene image feature correlation information.

[0073] In this embodiment, the preset pedestrian lighting scene image correlation threshold can be manually set and can be set to 0.7. The pedestrian lighting scene image feature correlation information is compared with the preset pedestrian lighting scene image correlation threshold. When the pedestrian lighting scene image feature correlation information is greater than or equal to the preset pedestrian lighting scene image correlation threshold, it is determined that the lighting scene image information corresponding to the pedestrian lighting scene image feature correlation information belongs to the pedestrian lighting scene, and the lighting scene image information corresponding to the pedestrian lighting scene image feature correlation information is used as the pedestrian lighting scene image information; when the pedestrian lighting scene image feature correlation information is less than the preset pedestrian lighting scene image correlation threshold, it is determined that the lighting scene image information corresponding to the pedestrian lighting scene image feature correlation information has insufficient correlation with the pedestrian lighting scene, and the lighting scene image information corresponding to the pedestrian lighting scene image feature correlation information is skipped, so as to avoid misclassification of the lighting scene image information and improve the accuracy of distinguishing and identifying lighting scenes.

[0074] Step S307, determine whether the driving lighting scene image feature correlation information is greater than or equal to a preset driving lighting scene image correlation threshold; if so, obtain the driving lighting scene image information based on the lighting scene image information corresponding to the driving lighting scene image feature correlation information; if not, skip the lighting scene image information corresponding to the driving lighting scene image feature correlation information.

[0075] In this embodiment, the preset driving lighting scene image correlation threshold may be manually set, and may be set to 0.7.

[0076] The driving lighting scene image feature correlation information is compared with a preset driving lighting scene image correlation threshold. When the driving lighting scene image feature correlation information is greater than or equal to the preset driving lighting scene image correlation threshold, it is determined that the lighting scene image information corresponding to the driving lighting scene image feature correlation information belongs to the driving lighting scene, and the lighting scene image information corresponding to the driving lighting scene image feature correlation information is used as the driving lighting scene image information; when the driving lighting scene image feature correlation information is less than the preset driving lighting scene image correlation threshold, it is determined that the lighting scene image information corresponding to the driving lighting scene image feature correlation information has insufficient correlation with the driving lighting scene, and the lighting scene image information corresponding to the driving lighting scene image feature correlation information is skipped to avoid misclassification of the lighting scene image information and to improve the accuracy and robustness of distinguishing and identifying lighting scenes.

[0077] The lighting scene control method provided in the embodiment of the present application generates a lighting scene image matrix to convert the original image into matrix data that can be quantified and analyzed. By introducing a lighting scene image matrix area extraction window to focus on key lighting scene areas, the characteristics of pedestrian movement trajectories or vehicle driving paths are extracted in a targeted manner to avoid interference from irrelevant information in the image background, thereby improving the efficiency and accuracy of lighting scene analysis. The lighting scene image features are enhanced through the lighting scene image feature mapping matrix to effectively capture the essential differences between different lighting scenes. Then, combined with the matching mechanism of the preset pedestrian lighting scene image feature calibration vector and the preset driving lighting scene image feature calibration vector, the accurate classification processing of the lighting scene is quickly realized, thereby triggering the differentiation control mechanism of the lighting strategy to adapt to the lighting needs of urban roads with complex road conditions and diverse lighting control situations, provide reliable data support for the subsequent lighting control communication resource block allocation, and significantly improve the intelligence and energy efficiency of lighting scene control.

[0078] Figure 4 The flowchart of the lighting scene control method provided in the fourth embodiment of the present application is shown. The difference between the fourth embodiment and the first embodiment is that step S103 specifically includes:

[0079] Step S401 , obtaining pedestrian scene lighting equipment information and vehicle scene lighting equipment information corresponding to the shooting location information according to the shooting location information of the pedestrian lighting scene image information, the shooting location information of the vehicle lighting scene image information and a preset lighting equipment information library.

[0080] In this embodiment, the longitude and latitude coordinates of the shooting location in the pedestrian lighting scene image information can be matched with the device location coordinates in the lighting device information library. For example, a spatial distance algorithm can be used to calculate the Euclidean distance to filter out multiple lighting devices closest to the shooting location. Combined with the functional attributes of the equipment, such as labels such as "sidewalk lighting", the pedestrian scene lighting device information can be determined. The shooting location of the driving lighting scene image information can also be matched with the equipment marked as "main road lighting" or "highway lighting" in the lighting device information library to obtain the driving scene lighting device information.

[0081] Step S402 : determining a plurality of pedestrian coordinate information and pedestrian lighting scene image frame interval information according to the pedestrian lighting scene image information.

[0082] In this embodiment, the pedestrian lighting scene image information may be serialized first, and then the serialized pedestrian lighting scene image information may be processed frame by frame. A recognition frame may be generated to identify pedestrian targets in each frame. The recognition frame may be a rectangular frame, the size and position of which accurately frame the pedestrian information in the image. Alternatively, a pixel region containing a pedestrian may be identified and marked to generate a bounding box, the size and position of which accurately frame the pedestrian information in the image. Furthermore, for each identified pedestrian bounding box, the coordinates of the center point of the pedestrian bounding box may be calculated. Specifically, the midpoints of the left and right horizontal boundaries of the bounding box may be used as the horizontal coordinate, and the midpoints of the upper and lower vertical boundaries may be used as the vertical coordinate. The coordinates of the center point of the pedestrian target in the frame are thus obtained and used as the pedestrian coordinate information. When processing consecutive frame images, the shooting time difference between two adjacent frames may be synchronously recorded. Specifically, the shooting time difference between the first frame and the next frame may be obtained, and the time interval is calculated as the frame interval information of the pedestrian lighting scene image.

[0083] Step S403: Calculate the pedestrian's lateral displacement information and the pedestrian's longitudinal displacement information based on the plurality of pedestrian coordinate information.

[0084] In this embodiment, two or more consecutive frames of pedestrian lighting scene image information are extracted respectively, and the coordinate information of the pedestrians in the two or more frames is identified respectively, wherein the image coordinate system takes the upper left corner as the origin, the horizontal direction to the right is the horizontal direction, and the vertical direction downward is the vertical direction. When calculating the lateral displacement, the difference between the horizontal axis values in the coordinates of the two frames can be directly obtained, that is, the lateral displacement is equal to the horizontal axis coordinate of the pedestrian center point in the second frame minus the horizontal axis coordinate of the pedestrian center point in the first frame. This difference is used as the pedestrian's lateral displacement information, which is used to reflect the change in the pedestrian's position in the horizontal direction. If the result is positive, it means moving to the right, and if it is negative, it means moving to the left. When calculating the longitudinal displacement, the difference between the vertical axis values in the coordinates of the two frames can be taken, that is, the longitudinal displacement is equal to the vertical axis coordinate of the pedestrian center point in the second frame minus the vertical axis coordinate of the pedestrian center point in the first frame. This difference is used as the pedestrian's longitudinal displacement information, which is used to reflect the change in the pedestrian's position in the vertical direction. If the result is positive, it means moving downward, and if it is negative, it means moving upward.

[0085] Step S404 : Obtain pedestrian movement speed information based on the pedestrian lateral displacement information, the pedestrian longitudinal displacement information, and the pedestrian lighting scene image frame interval information.

[0086] In this embodiment, the pedestrian's lateral and longitudinal displacement information can be substituted into the speed calculation formula, combined with the pedestrian lighting scene image frame interval information to calculate the horizontal and vertical components of the pedestrian's movement speed. The horizontal and vertical components are then calculated using the Pythagorean theorem to obtain the pedestrian's movement speed information. The unit of the pedestrian lighting scene image frame interval information is milliseconds.

[0087] Step S405 : determining a plurality of driving coordinate information and driving lighting scene image frame interval information according to the driving lighting scene image information.

[0088] In this embodiment, target detection technology can be used to identify vehicle targets in an image. Image processing algorithms can be used to analyze the driving lighting scene image frame by frame to identify the vehicle's outline and determine its position within the image. Specifically, the boundaries of the vehicle target can be located within the image, forming a rectangular bounding box around the vehicle so that the bounding box tightly encloses the vehicle body. The intersection of the horizontal coordinates of the midpoints of the left and right horizontal edges of the bounding box and the vertical coordinates of the midpoints of the upper and lower vertical edges is used as the coordinates of the center point of the bounding box. The coordinates of the center point of the bounding box are then used as driving coordinate information to reflect the vehicle's position within the image. While acquiring the driving coordinate information, the time difference between the capture timestamps of two adjacent frames can be recorded as the frame interval information for the driving lighting scene image. Specifically, when multiple frames of driving lighting scene images are continuously captured, there is a time interval between the capture timestamps of each frame. The time difference between the two adjacent frames can be calculated by reading the capture timestamps of the images, and this time difference serves as the frame interval information for the driving lighting scene image.

[0089] Step S406 , calculating the vehicle lateral displacement information and the vehicle longitudinal displacement information based on the plurality of vehicle coordinate information.

[0090] In this embodiment, two or more consecutive frames of vehicle lighting scene image information are extracted, and the vehicle coordinate information in the two or more frames is identified. The image coordinate system uses the upper left corner as the origin, with horizontal to the right as the horizontal direction and vertical downward as the vertical direction. When calculating the lateral displacement, the difference between the horizontal axis values in the two frames of coordinates can be directly obtained. That is, the lateral displacement is equal to the horizontal axis coordinate of the vehicle center point in the second frame minus the horizontal axis coordinate of the vehicle center point in the first frame. This difference is used as the vehicle lateral displacement information, which is used to reflect the change in the vehicle's horizontal position. If the result is positive, it means movement to the right, and if it is negative, it means movement to the left. When calculating the longitudinal displacement, the difference between the vertical axis values in the two frames of coordinates can be taken. That is, the longitudinal displacement is equal to the vertical axis coordinate of the vehicle center point in the second frame minus the vertical axis coordinate of the vehicle center point in the first frame. This difference is used as the vehicle longitudinal displacement information, which is used to reflect the change in the vehicle's vertical position. If the result is positive, it means movement downward, and if it is negative, it means movement upward.

[0091] Step S407 , obtaining vehicle moving speed information according to the vehicle lateral displacement information, the vehicle longitudinal displacement information, and the vehicle lighting scene image frame interval information.

[0092] In this embodiment, the vehicle's lateral and longitudinal displacement information can be substituted into a speed calculation formula, combined with the vehicle lighting scene image frame interval information to calculate the horizontal and vertical components of the vehicle's speed. The vehicle's speed information can then be obtained by applying the Pythagorean theorem to the horizontal and vertical components. The vehicle lighting scene image frame interval information can be expressed in milliseconds.

[0093] The lighting scene control method provided in the embodiment of the present application quickly locks the corresponding lighting equipment of pedestrian scenes and driving scenes through spatial matching of shooting location information with a preset lighting equipment information library, avoids cross-scene miscontrol, captures the coordinate changes of pedestrians and vehicles in real time, and calculates the actual movement speed in combination with the frame interval time, thereby quantifying the low-speed movement characteristics of pedestrians in pedestrian lighting scenes and the high-speed movement characteristics of vehicles in driving lighting scenes, providing a real-time dynamic basis for the subsequent allocation of lighting control communication resource blocks, so as to quantify the real-time requirements of different lighting scenes, improve nighttime driving safety while avoiding energy waste, and significantly improve the dynamic adaptability and energy efficiency of smart city lighting scenes.

[0094] Figure 5 The flowchart of the lighting scene control method provided in the fifth embodiment of the present application is shown. The difference between the fifth embodiment and the first embodiment is that step S104 specifically includes:

[0095] Step S501 : Obtain pedestrian lighting scene control delay information according to the pedestrian movement speed information, preset pedestrian lighting scene control delay adjustment coefficient information, and preset pedestrian lighting scene control delay reference information.

[0096] In this embodiment, both the preset pedestrian lighting scene control delay adjustment coefficient information and the preset pedestrian lighting scene control delay reference information can be manually set. The pedestrian lighting scene control delay information can be obtained by multiplying the pedestrian movement speed information by the preset pedestrian lighting scene control delay adjustment coefficient information, and then adding the result to the preset pedestrian lighting scene control delay reference information. For example, if the preset pedestrian lighting scene control delay reference information is the base delay value, the delay adjustment coefficient decreases by a fixed amount for each unit increase in pedestrian movement speed. The real-time delay is then calculated through linear superposition to serve as the pedestrian lighting scene control delay information.

[0097] Step S502 : Obtaining driving lighting scene control delay information according to the driving speed information, the preset driving lighting scene control delay adjustment coefficient information, and the preset driving lighting scene control delay reference information.

[0098] In this embodiment, both the preset driving lighting scene control delay adjustment coefficient information and the preset driving lighting scene control delay reference information can be manually set. The driving lighting scene control delay information can be obtained by multiplying the driving speed information by the preset driving lighting scene control delay adjustment coefficient information, and then adding the result to the preset driving lighting scene control delay reference information. Because driving scenarios are sensitive to delay, the absolute value of the driving lighting scene control delay adjustment coefficient information is typically greater than the pedestrian lighting scene control delay adjustment coefficient information to achieve a more efficient lighting control response.

[0099] Step S503, based on the pedestrian lighting scene control delay information, the vehicle lighting scene control delay information, the preset pedestrian lighting scene communication resource block allocation weight information and the preset vehicle lighting scene communication resource block allocation weight information, calculate the pedestrian lighting scene resource block allocation ratio information and the vehicle lighting scene resource block allocation ratio information.

[0100] In this embodiment, the preset pedestrian lighting scene communication resource block allocation weight information and the preset vehicle lighting scene communication resource block allocation weight information can both be manually set. The preset pedestrian lighting scene communication resource block allocation weight information can be much smaller than the preset vehicle lighting scene communication resource block allocation weight information. The sum of the delays of the pedestrian lighting scene control delay information and the vehicle lighting scene control delay information can be calculated first, and then the pedestrian lighting scene control delay information is multiplied by the pedestrian lighting scene communication resource block allocation weight information, and the vehicle lighting scene control delay information is multiplied by the vehicle lighting scene communication resource block allocation weight information, respectively. The multiplication results are then divided by the sum of the delays, and the division results are used as the pedestrian lighting scene resource block allocation ratio information and the vehicle lighting scene resource block allocation ratio information, respectively. It can be understood that the longer the delay of the pedestrian lighting scene, the lower the communication resource block allocation ratio, and the shorter the delay of the driving lighting scene, the higher the communication resource block allocation ratio. The preset pedestrian lighting scene communication resource block allocation weight information and the preset driving lighting scene communication resource block allocation weight information can be used to adjust the communication resource priority of different lighting scenes.

[0101] Step S504 , obtaining pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information according to the pedestrian lighting scene resource block allocation ratio information, the vehicle lighting scene resource block allocation ratio information and the preset lighting control communication resource block quantity information.

[0102] In this embodiment, the preset number of lighting control communication resource blocks can be manually set. This can be accomplished by multiplying the preset number of lighting control communication resource blocks by the pedestrian lighting scene resource block allocation ratio information and the vehicle lighting scene resource block allocation ratio information, rounding the multiplication results and adjusting them to ensure that the total number of resource blocks allocated does not exceed the total number of resource blocks. This yields the final number of resource blocks allocated to each scene, namely, the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information. For example, if the number of lighting control communication resource blocks is 1000 and the pedestrian lighting scene allocation ratio is 30%, then 300 lighting scene control resource blocks are allocated, and 70% is allocated to the vehicle lighting scene, i.e., 700 lighting scene control resource blocks are allocated.

[0103] The lighting scene control method provided in the embodiment of the present application combines pedestrian movement speed information, pedestrian lighting scene control delay adjustment coefficient information and pedestrian lighting scene control delay reference information to quantify the low real-time requirements of pedestrian lighting scenes, and adjusts longer lighting control cycles based on low real-time requirements to avoid the waste of communication resources and lighting resources caused by frequent adjustments. Combined with driving speed information, driving lighting scene control delay adjustment coefficient information and driving lighting scene control delay reference information, the high-speed movement speed information of the vehicle is converted into the low-latency requirements of the driving lighting scene, and the high sensitivity to delay in the driving lighting scene is quantified. Sensitivity requirements are met to ensure that millisecond-level lighting control responses can be achieved when a vehicle enters the monitoring range, so as to effectively avoid lighting blind spots in the driving area caused by lighting control delays, thereby improving the safety and reliability of night driving. At the same time, through the calculation of pedestrian lighting scene control resource block information and driving lighting scene control resource block information, communication resource blocks are dynamically allocated to avoid cross-scene resource conflicts and achieve dynamic balance of channel resources, which not only ensures driving safety but also eliminates resource redundancy in pedestrian scenes, is conducive to achieving the green and energy-saving construction goals of smart cities, and significantly enhances the dynamic adaptability of the lighting system to complex urban road conditions.

[0104] Figure 6 The flowchart of the lighting scene control method provided in the sixth embodiment of the present application is shown. The difference between the sixth embodiment and the fifth embodiment is that step S503 specifically includes:

[0105] Step S601: Obtain pedestrian lighting scene control resource block allocation characterization information according to the pedestrian lighting scene control delay information, preset pedestrian lighting scene communication resource block allocation weight information, and preset pedestrian lighting scene communication resource block allocation compensation information.

[0106] In this embodiment, the preset pedestrian lighting scene communication resource block allocation weight information and the preset pedestrian lighting scene communication resource block allocation compensation information can both be manually set, wherein the preset pedestrian lighting scene communication resource block allocation compensation information can be set based on the pedestrian flow fluctuations in the historical period. The pedestrian lighting scene control delay information can be multiplied by the preset pedestrian lighting scene communication resource block allocation weight information, and then the preset pedestrian lighting scene communication resource block allocation compensation information is added, and then the pedestrian lighting scene control resource block allocation representation information is generated through linear combination to comprehensively reflect the control delay of the pedestrian lighting scene and the dynamic allocation requirements of the communication resource block. It can be understood that for park sidewalks with few pedestrians at night, the pedestrian lighting scene communication resource block allocation compensation information can be used to reduce the communication resource allocation ratio to avoid redundant communication.

[0107] Step S602 : normalizing the pedestrian lighting scene control resource block allocation characterization information to obtain pedestrian lighting scene resource block allocation ratio information by calculation.

[0108] In this embodiment, the pedestrian lighting scene control resource block allocation characterization information can be normalized by using a hyperbolic tangent function, or the pedestrian lighting scene control resource block allocation characterization information can be used as the independent variable of the hyperbolic tangent function, and the function value obtained after calculation of the hyperbolic tangent function can be used as the pedestrian lighting scene resource block allocation ratio information.

[0109] Step S603 , obtaining driving lighting scene control resource block allocation characterization information according to the driving lighting scene control delay information, the preset driving lighting scene communication resource block allocation weight information, and the preset driving lighting scene communication resource block allocation compensation information.

[0110] In this embodiment, the preset driving lighting scene communication resource block allocation weight information and the preset driving lighting scene communication resource block allocation compensation information can both be manually set, wherein the preset driving lighting scene communication resource block allocation compensation information can be set based on the traffic flow fluctuations in the historical period. The driving lighting scene control delay information can be multiplied by the preset driving lighting scene communication resource block allocation weight information, and then the preset driving lighting scene communication resource block allocation compensation information is added, and then the driving lighting scene control resource block allocation characterization information is generated through linear combination to highlight the dominant role of high real-time requirements in communication resource allocation. It can be understood that for urban main roads during peak hours in the morning and evening, the driving lighting scene communication resource block allocation compensation information is used to increase the proportion of communication resources for the driving scene to ensure low-latency control under high-speed vehicle movement.

[0111] Step S604 , normalizing the vehicle lighting scene control resource block allocation characterization information to obtain vehicle lighting scene resource block allocation ratio information by calculation.

[0112] In this embodiment, the driving lighting scene control resource block allocation characterization information can be normalized by using the ReLU function, and the driving lighting scene control resource block allocation characterization information can be used as the independent variable of the ReLU function. After calculation of the ReLU function, the function value obtained is used as the driving lighting scene resource block allocation ratio information.

[0113] The lighting scene control method provided in the embodiment of the present application improves the flexibility and accuracy of dynamic control of lighting scenes by introducing communication resource block allocation compensation information for pedestrian lighting scenes and communication resource block allocation compensation information for driving lighting scenes, effectively improves the utilization efficiency of communication resources in different lighting scenes, and makes the communication resource allocation for controlling different lighting scenes more in line with actual scene requirements, while ensuring driving safety, reducing the energy consumption and communication costs of pedestrian lighting scenes.

[0114] Figure 7 The flowchart of the lighting scene control method provided in the seventh embodiment of the present application is shown. The difference between the seventh embodiment and the first embodiment is that:

[0115] The pedestrian lighting scene control resource block information includes a plurality of pedestrian lighting scene control subcarriers and a plurality of pedestrian lighting scene control time slots;

[0116] The driving lighting scene control resource block information includes a plurality of driving lighting scene control subcarriers and a plurality of driving lighting scene control time slots;

[0117] The plurality of preset lighting control signal projection matrices include a preset lighting control signal feature query matrix, a preset lighting control signal feature identification matrix, and a preset lighting control signal feature content matrix;

[0118] The lighting control instruction information includes pedestrian scene lighting control instruction information and driving scene lighting control instruction information;

[0119] The parsed lighting control instruction information includes parsed pedestrian scene lighting control instruction information and parsed pedestrian scene lighting control instruction information;

[0120] The lighting equipment includes pedestrian scene lighting equipment and driving scene lighting equipment;

[0121] The step S105 specifically includes:

[0122] Step S701 : Generate pedestrian scene lighting control signal feature query information and driving scene lighting control signal query information according to the pedestrian scene lighting control command information, the driving scene lighting control command information and a preset lighting control signal feature query matrix.

[0123] In this embodiment, the preset lighting control signal feature query matrix can be set manually, and the pedestrian scene lighting control command information and the driving scene lighting control command information can be multiplied with the lighting control signal feature query matrix respectively, and the multiplication results can be used as the pedestrian scene lighting control signal feature query information and the driving scene lighting control signal query information to extract key information in the pedestrian scene lighting control command information and the driving scene lighting control command information, such as "brightness adjustment", "switch status", etc., and can also be used to locate the control command parsing rules in the communication protocol.

[0124] Step S702 : Generate pedestrian scene lighting control signal feature content information and driving scene lighting control signal feature content information according to the pedestrian scene lighting control instruction information, the driving scene lighting control instruction information and a preset lighting control signal feature content matrix.

[0125] In this embodiment, the preset lighting control signal characteristic content matrix can be set manually, and the pedestrian scene lighting control instruction information and the driving scene lighting control instruction information can be multiplied with the lighting control signal characteristic content matrix respectively, and the multiplication results are used as the pedestrian scene lighting control signal characteristic content information and the driving scene lighting control signal characteristic content information, which are used to convert specific parameters in the natural language instruction into executable physical layer parameter encoding. For example, the specific parameters in the natural language instruction can be the numerical information in "reduce the brightness by 30%", and the executable physical layer parameter encoding can be the PWM modulation coefficient, voltage amplitude, etc.

[0126] Step S703 : Generate pedestrian scene lighting control signal feature identification information and driving scene lighting control signal feature identification information according to the pedestrian scene lighting control instruction information, the driving scene lighting control instruction information and a preset lighting control signal feature identification matrix.

[0127] In this embodiment, the preset lighting control signal feature identification matrix can be set manually, and the pedestrian scene lighting control instruction information and the driving scene lighting control instruction information can be multiplied with the lighting control signal feature identification matrix respectively, and the multiplication results are used as the pedestrian scene lighting control signal feature identification information and the driving scene lighting control signal feature identification information, which are used to assign identification vectors to pedestrian lighting scenes and driving lighting scenes respectively, so as to generate feature identification information in combination with the address of the lighting device, so as to ensure that the target device and scene type can be quickly distinguished through the identification vector during mixed transmission of cross-scene instructions.

[0128] Step S704, based on the pedestrian scene lighting control signal feature query information, the driving scene lighting control signal query information, the pedestrian scene lighting control signal feature content information, the driving scene lighting control signal feature content information, the pedestrian scene lighting control signal feature identification information and the driving scene lighting control signal feature identification information, calculate the pedestrian scene lighting control signal feature projection information and the driving scene lighting control signal feature projection information.

[0129] In this embodiment, a dot product operation may be performed on the pedestrian scene lighting control signal feature query information and the pedestrian scene lighting control signal feature content information, and then a weighted summation of the dot product operation result and the pedestrian scene lighting control signal feature identification information is performed, and the weighted summation result is used as the pedestrian scene lighting control signal feature projection information. Alternatively, a dot product operation may be performed on the driving scene lighting control signal feature query information and the driving scene lighting control signal feature content information, and then a weighted summation of the dot product operation result and the driving scene lighting control signal feature identification information is performed, and the weighted summation result is used as the driving scene lighting control signal feature projection information.

[0130] Step S705 , performing format conversion on the pedestrian scene lighting control signal feature projection information and the driving scene lighting control signal feature projection information to generate parsed pedestrian scene lighting control instruction information and parsed pedestrian scene lighting control instruction information.

[0131] In this embodiment, the pedestrian scene lighting control signal feature projection information and the driving scene lighting control signal feature projection information can be respectively converted into OFDM symbols that comply with the 5G NR physical layer transmission format, and the converted OFDM symbols can be used as the parsed pedestrian scene lighting control instruction information and the parsed pedestrian scene lighting control instruction information.

[0132] Step S706: Allocate the parsed pedestrian scene lighting control instruction information to the plurality of pedestrian lighting scene control subcarriers and the plurality of pedestrian lighting scene control time slots to obtain pedestrian lighting scene control transmission information.

[0133] In this embodiment, each parsed pedestrian scene lighting control instruction information can be allocated to the pedestrian lighting scene control subcarrier and multiple pedestrian lighting scene control time slots according to the rules of frequency division multiplexing and time division multiplexing to generate transmission frame structure information as pedestrian lighting scene control transmission information.

[0134] Step S707 : Allocate the parsed driving scene lighting control instruction information to the plurality of driving lighting scene control subcarriers and the plurality of driving lighting scene control time slots to obtain driving lighting scene control transmission information.

[0135] In this embodiment, each parsed driving scene lighting control instruction information can be allocated to the driving lighting scene control subcarrier and multiple driving lighting scene control time slots according to the rules of frequency division multiplexing and time division multiplexing to generate transmission frame structure information as driving lighting scene control transmission information.

[0136] Step S708, according to the preset lighting control signal transmission power information, the preset pedestrian lighting scene control signal transmission power distribution ratio information and the preset driving lighting scene control signal transmission power distribution ratio information, obtain the pedestrian lighting scene control signal transmission power information and the driving lighting scene control signal transmission power information.

[0137] In this embodiment, the preset lighting control signal transmission power information, the preset pedestrian lighting scene control signal transmission power allocation ratio information, and the preset driving lighting scene control signal transmission power allocation ratio information can all be manually set. The preset lighting control signal transmission power information can be multiplied by the preset pedestrian lighting scene control signal transmission power allocation ratio information and the preset driving lighting scene control signal transmission power allocation ratio information, respectively, and the multiplication results are used as the pedestrian lighting scene control signal transmission power information and the driving lighting scene control signal transmission power. For example, the preset lighting control signal transmission power information can be 30dBm, the preset pedestrian lighting scene control signal transmission power allocation ratio information can be 20%, i.e., 6dBm of power can be allocated as the pedestrian lighting scene control signal transmission power information, and the preset driving lighting scene control signal transmission power allocation ratio information can be 80%, i.e., 24dBm of power can be allocated as the driving lighting scene control signal transmission power.

[0138] Step S709 : sending pedestrian lighting scene control transmission information to the pedestrian scene lighting device according to the pedestrian lighting scene control signal transmission power information, so that the pedestrian scene lighting device performs pedestrian lighting scene control.

[0139] In this embodiment, the pedestrian lighting scene control transmission information can be transmitted to the pedestrian scene lighting device with a power value represented by the pedestrian lighting scene control signal transmission power information. After receiving it, the pedestrian scene lighting device restores the subcarrier and the OFDM symbols in the time slot into control parameters through a demodulation process, drives the lighting device to perform corresponding operations, and realizes lighting adjustment in a low-power scenario.

[0140] Step S710 : Sending driving lighting scene control transmission information to a driving lighting device according to the driving lighting scene control signal transmission power information, so that the driving lighting device performs driving lighting scene control.

[0141] In this embodiment, the driving lighting scene control transmission information can be transmitted to the driving scene lighting equipment with a power value represented by the driving lighting scene control signal transmission power information. After receiving it, the driving scene lighting equipment uses a demodulation process to restore the subcarrier and the OFDM symbols in the time slot to control parameters, drive the lighting equipment to perform corresponding operations, and realize millisecond-level synchronization of lighting control and vehicle trajectory to eliminate blind spots in night driving lighting.

[0142] The lighting scene control method provided in the embodiment of the present application is based on independent lighting scene control subcarriers and lighting scene control time slot division for pedestrian lighting scenes and driving lighting scenes, thereby realizing parallel transmission of control commands for different scenes without interfering with each other, and ensuring that the road brightness of the driving lighting scene responds to the vehicle traffic needs in a timely manner, while maintaining low-frequency lighting control command transmission in the pedestrian lighting scene to avoid resource waste. Moreover, through the projection processing of the lighting control command information, complex lighting control command information can be converted into precise physical control parameters to simplify the communication transmission content, thereby ensuring the effective transmission of the lighting control command information while reducing transmission delay and further saving communication resources.

[0143] Figure 8 The flowchart of the lighting scene control method provided in the eighth embodiment of the present application is shown. The difference between the eighth embodiment and the seventh embodiment is that the step S705 specifically includes:

[0144] Step S801 : Calculate pedestrian scene lighting control signal feature interaction representation information based on the pedestrian scene lighting control signal feature content information and pedestrian scene lighting control signal feature identification information.

[0145] In this embodiment, the adaptability of the lighting control instruction to the pedestrian lighting scene can be enhanced by multiplying the pedestrian scene lighting control signal characteristic content information and the pedestrian scene lighting control signal characteristic identification information, and using the multiplication result as the pedestrian scene lighting control signal characteristic interaction representation information.

[0146] Step S802 : Calculate and obtain driving scene lighting control signal feature interaction representation information based on the driving scene lighting control signal feature content information and the driving scene lighting control signal feature identification information.

[0147] In this embodiment, the driving scene lighting control signal characteristic content information and the driving scene lighting control signal characteristic identification information may be multiplied, and the multiplication result may be used as the driving scene lighting control signal characteristic interaction representation information to enhance the adaptability of the lighting control instruction to the driving lighting scene.

[0148] Step S803 : Calculate and obtain pedestrian scene lighting control signal feature projection information based on the pedestrian scene lighting control signal feature interaction representation information and the pedestrian scene lighting control signal feature identification information.

[0149] In this embodiment, the pedestrian scene lighting control signal feature interaction representation information and the pedestrian scene lighting control signal feature identification information can be multiplied or dot-producted, and the result of the operation can be used as the pedestrian scene lighting control signal feature projection information to ensure that the instruction features are always consistent with the low latency tolerance characteristics of the pedestrian scene when mapped to the physical layer resources.

[0150] Step S804 : calculating and obtaining driving scene lighting control signal feature projection information based on the driving scene lighting control signal feature interaction representation information and the driving scene lighting control signal feature identification information.

[0151] In this embodiment, the interactive characterization information of the driving scene lighting control signal characteristics and the driving scene lighting control signal characteristic identification information may be multiplied or dot-producted, and the result of the operation may be used as the driving scene lighting control signal characteristic projection information to enhance the expression strength of the driving scene lighting control signal characteristics, so that the lighting control instructions may preferentially occupy delay-sensitive subcarrier and time slot combinations when allocating time-frequency resources.

[0152] The lighting scene control method provided in the embodiment of the present application is based on the characteristic content information of the pedestrian scene lighting control signal and the characteristic identification information of the pedestrian scene lighting control signal, deeply explores the correlation between the lighting control instructions and the lighting scene characteristics, ensures that the lighting adjustment instructions only act on the corresponding lighting scene equipment, avoids erroneous control, and then performs interactive calculation of the instruction characteristics to achieve accurate mapping of the lighting control instructions, so as to effectively avoid cross-scene signal interference, thereby improving the flexibility and accuracy of lighting control in complex and changing environments, and improving the response speed and control accuracy of the lighting system to different lighting scenes, thereby significantly improving the utilization efficiency of smart city lighting resources and the adaptability of lighting scenes.

[0153] Corresponding to the method of the above embodiment, Figure 9 A structural block diagram of a lighting scene control system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 9 The exemplary lighting scene control system may be an execution subject of the lighting scene control method provided in the aforementioned first embodiment.

[0154] Reference Figure 9 , the lighting scene control system includes:

[0155] The lighting scene image information acquisition module 910 is used to acquire lighting scene image information;

[0156] The lighting scene image information analysis module 920 is used to analyze and calculate the lighting scene image information according to a preset lighting scene image feature mapping matrix to obtain pedestrian lighting scene image information and vehicle lighting scene image information;

[0157] A scene lighting device information and movement speed information generating module 930 is configured to determine pedestrian scene lighting device information, pedestrian movement speed information, vehicle scene lighting device information, and vehicle movement speed information based on the pedestrian lighting scene image information and the vehicle lighting scene image information;

[0158] a lighting control communication resource block allocation module 940 configured to allocate lighting control communication resource blocks to the pedestrian scene lighting device information and the vehicle scene lighting device information based on the pedestrian movement speed information, the vehicle movement speed information, and the preset number of lighting control communication resource blocks, thereby obtaining pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information;

[0159] The lighting control instruction information parsing and sending module 950 is used to parse and process the lighting control instruction information obtained in real time based on multiple preset lighting control signal projection matrices, and send the parsed lighting control instruction information to the lighting equipment according to the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information, so that the lighting equipment can perform lighting scene control.

[0160] The process of each module in the lighting scene control system provided in the embodiment of the present application realizing its own function can be specifically referred to the aforementioned Figure 1 The description of the first embodiment is omitted here.

[0161] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0162] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0163] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0164] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0165] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish descriptions and should not be understood as indicating or implying relative importance. It should also be understood that although the terms "first", "second", etc. are used in the text to describe various elements in some embodiments of the present application, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first table can be named a second table, and similarly, a second table can be named a first table without departing from the scope of the various described embodiments. Both the first table and the second table are tables, but they are not the same table.

[0166] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0167] The lighting scene control method provided in the embodiments of the present application can be applied to terminal devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptop computers, ultra-mobile personal computers (UMPCs), netbooks, and personal digital assistants (PDAs). The embodiments of the present application do not impose any restrictions on the specific types of terminal devices.

[0168] For example, the terminal device can be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a TV set-top box (STB), customer premise equipment (CPE) and / or other devices for communicating on a wireless system and a next-generation communication system, such as a mobile terminal in a 5G network or a mobile terminal in a future evolved Public Land Mobile Network (PLMN) network.

[0169] As an example and not a limitation, when the terminal device is a wearable device, the wearable device can also be a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include those that are full-featured, large in size, and can achieve complete or partial functions without relying on smartphones, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.

[0170] Figure 10 This is a schematic diagram of the structure of a terminal device provided by an embodiment of the present application. Figure 10 As shown, the terminal device 100 of this embodiment includes: at least one processor 1000 ( Figure 10 Only one is shown), a memory 1001, wherein the memory 1001 stores a computer program 1002 that can be run on the processor 1000. When the processor 1000 executes the computer program 1002, the steps in the above-mentioned various lighting scene control method embodiments are implemented, such as Figure 1 Alternatively, when the processor 1000 executes the computer program 1002, the functions of the modules / units in the above-mentioned system embodiments are realized, for example, Figure 9 Functions of modules 910 to 950 are shown.

[0171] The terminal device 100 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device may include, but is not limited to, a processor 1000 and a memory 1001. Those skilled in the art will understand that Figure 10 It is only an example of the terminal device 100 and does not constitute a limitation of the terminal device 100. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include an input and sending device, a network access device, a bus, etc.

[0172] The processor 1000 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0173] In some embodiments, the memory 1001 may be an internal storage unit of the terminal device 100, such as a hard disk or memory of the terminal device 100. The memory 1001 may also be an external storage device of the terminal device 100, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 100. Furthermore, the memory 1001 may also include both an internal storage unit of the terminal device 100 and an external storage device. The memory 1001 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 1001 may also be used to temporarily store data that has been sent or is to be sent.

[0174] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0175] An embodiment of the present application also provides a terminal device, which includes at least one memory, at least one processor, and a computer program stored in the at least one memory and executable on the at least one processor. When the processor executes the computer program, the terminal device implements the steps of any of the above-mentioned method embodiments.

[0176] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or system that can carry the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0177] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0178] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0179] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0180] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A lighting scene control method, characterized in that: include: Obtaining lighting scene image information; Analyzing and calculating the lighting scene image information according to a preset lighting scene image feature mapping matrix to obtain pedestrian lighting scene image information and vehicle lighting scene image information; Determining pedestrian scene lighting equipment information, pedestrian movement speed information, vehicle scene lighting equipment information, and vehicle movement speed information based on the pedestrian lighting scene image information and the vehicle lighting scene image information; According to the pedestrian movement speed information, the vehicle movement speed information, and the preset number of lighting control communication resource blocks, the pedestrian scene lighting equipment information and the vehicle scene lighting equipment information are allocated lighting control communication resource blocks to obtain pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information; The lighting control command information acquired in real time is parsed and processed based on a plurality of preset lighting control signal projection matrices, and the parsed lighting control command information is sent to the lighting device according to the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information, so that the lighting device performs lighting scene control.

2. The lighting scene control method according to claim 1, wherein: The step of analyzing and calculating the lighting scene image information according to a preset lighting scene image feature mapping matrix to obtain pedestrian lighting scene image information and vehicle lighting scene image information specifically includes: generating a lighting scene image matrix according to the lighting scene image information; Performing region extraction on the lighting scene image matrix according to a preset lighting scene image matrix region extraction window to generate a plurality of lighting scene image sub-matrices; generating a plurality of lighting scene image feature mapping information according to the plurality of lighting scene image sub-matrices and a preset lighting scene image feature mapping matrix; Pedestrian lighting scene image information and vehicle lighting scene image information are obtained based on the plurality of lighting scene image feature mapping information, a preset pedestrian lighting scene image feature calibration vector and a preset vehicle lighting scene image feature calibration vector.

3. The lighting scene control method according to claim 2, wherein: The step of obtaining pedestrian lighting scene image information and vehicle lighting scene image information based on the plurality of lighting scene image feature mapping information, the preset pedestrian lighting scene image feature calibration vector, and the preset vehicle lighting scene image feature calibration vector specifically includes: Calculating the mean of each of the lighting scene image feature mapping information to obtain a plurality of lighting scene image feature representation information; Calculating the covariance of the plurality of lighting scene image feature mapping information and the plurality of lighting scene image feature representation information to generate a lighting scene image feature variable matrix; Performing eigenvalue decomposition processing on the lighting scene image characteristic variable matrix to obtain lighting scene image characteristic vectors corresponding to a plurality of lighting scene image eigenvalues; Calculating pedestrian lighting scene image feature correlation information and vehicle lighting scene image feature correlation information based on the lighting scene image feature vector, a preset pedestrian lighting scene image feature calibration vector, and a preset vehicle lighting scene image feature calibration vector; When the pedestrian lighting scene image feature correlation information is greater than the vehicle lighting scene image feature correlation information, and the pedestrian lighting scene image feature correlation information is greater than or equal to a preset pedestrian lighting scene image correlation threshold, the pedestrian lighting scene image information is obtained based on the lighting scene image information corresponding to the pedestrian lighting scene image feature correlation information; When the driving lighting scene image feature correlation information is greater than the pedestrian lighting scene image feature correlation information, and the driving lighting scene image feature correlation information is greater than or equal to a preset driving lighting scene image correlation threshold, the driving lighting scene image information is obtained based on the lighting scene image information corresponding to the driving lighting scene image feature correlation information.

4. The lighting scene control method according to claim 1, wherein: The step of determining pedestrian scene lighting equipment information, pedestrian moving speed information, driving scene lighting equipment information, and vehicle moving speed information based on the pedestrian lighting scene image information and the vehicle lighting scene image information specifically includes: Obtaining pedestrian scene lighting equipment information and vehicle scene lighting equipment information corresponding to the shooting location information based on the shooting location information of the pedestrian lighting scene image information, the shooting location information of the vehicle lighting scene image information, and a preset lighting equipment information library; Determining a plurality of pedestrian coordinate information and pedestrian lighting scene image frame interval information based on the pedestrian lighting scene image information; Calculating pedestrian lateral displacement information and pedestrian longitudinal displacement information based on the plurality of pedestrian coordinate information; Obtaining pedestrian movement speed information based on the pedestrian lateral displacement information, the pedestrian longitudinal displacement information, and the pedestrian lighting scene image frame interval information; Determining a plurality of driving coordinate information and driving lighting scene image frame interval information according to the driving lighting scene image information; Calculating the vehicle lateral displacement information and the vehicle longitudinal displacement information based on the plurality of vehicle coordinate information; The vehicle moving speed information is obtained according to the vehicle lateral displacement information, the vehicle longitudinal displacement information and the vehicle lighting scene image frame interval information.

5. The lighting scene control method according to claim 1, wherein: The step of performing lighting control communication resource block allocation processing on the pedestrian scene lighting device information and the vehicle scene lighting device information based on the pedestrian movement speed information, the vehicle movement speed information, and the preset lighting control communication resource block quantity information to obtain pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information specifically includes: Obtaining pedestrian lighting scene control delay information according to the pedestrian movement speed information, preset pedestrian lighting scene control delay adjustment coefficient information, and preset pedestrian lighting scene control delay reference information; Obtaining driving lighting scene control delay information according to the driving speed information, the preset driving lighting scene control delay adjustment coefficient information, and the preset driving lighting scene control delay reference information; Calculating pedestrian lighting scene resource block allocation ratio information and vehicle lighting scene resource block allocation ratio information based on the pedestrian lighting scene control delay information, the vehicle lighting scene control delay information, the preset pedestrian lighting scene communication resource block allocation weight information, and the preset vehicle lighting scene communication resource block allocation weight information; According to the pedestrian lighting scene resource block allocation ratio information, the vehicle lighting scene resource block allocation ratio information and the preset lighting control communication resource block quantity information, pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information are obtained.

6. The lighting scene control method according to claim 5, wherein: The step of calculating pedestrian lighting scene resource block allocation ratio information and vehicle lighting scene resource block allocation ratio information based on the pedestrian lighting scene control delay information, the vehicle lighting scene control delay information, the preset pedestrian lighting scene communication resource block allocation weight information, and the preset vehicle lighting scene communication resource block allocation weight information specifically includes: Obtain pedestrian lighting scene control resource block allocation characterization information according to the pedestrian lighting scene control delay information, preset pedestrian lighting scene communication resource block allocation weight information, and preset pedestrian lighting scene communication resource block allocation compensation information; Normalizing the pedestrian lighting scene control resource block allocation characterization information to calculate the pedestrian lighting scene resource block allocation ratio information; Obtaining driving lighting scene control resource block allocation characterization information according to the driving lighting scene control delay information, preset driving lighting scene communication resource block allocation weight information, and preset driving lighting scene communication resource block allocation compensation information; The driving lighting scene control resource block allocation characterization quantity information is normalized to obtain driving lighting scene resource block allocation ratio information by calculation.

7. The lighting scene control method according to claim 1, wherein: The pedestrian lighting scene control resource block information includes a plurality of pedestrian lighting scene control subcarriers and a plurality of pedestrian lighting scene control time slots; The driving lighting scene control resource block information includes a plurality of driving lighting scene control subcarriers and a plurality of driving lighting scene control time slots; The plurality of preset lighting control signal projection matrices include a preset lighting control signal feature query matrix, a preset lighting control signal feature identification matrix, and a preset lighting control signal feature content matrix; The lighting control instruction information includes pedestrian scene lighting control instruction information and driving scene lighting control instruction information; The parsed lighting control instruction information includes parsed pedestrian scene lighting control instruction information and parsed pedestrian scene lighting control instruction information; The lighting equipment includes pedestrian scene lighting equipment and driving scene lighting equipment; The step of parsing and processing the lighting control instruction information acquired in real time based on a plurality of preset lighting control signal projection matrices, and sending the parsed lighting control instruction information to the lighting device according to the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information, so that the lighting device performs lighting scene control, specifically includes: Generate pedestrian scene lighting control signal feature query information and driving scene lighting control signal query information according to the pedestrian scene lighting control command information, the driving scene lighting control command information and a preset lighting control signal feature query matrix; Generate pedestrian scene lighting control signal feature content information and driving scene lighting control signal feature content information according to the pedestrian scene lighting control command information, the driving scene lighting control command information, and a preset lighting control signal feature content matrix; Generate pedestrian scene lighting control signal feature identification information and driving scene lighting control signal feature identification information according to the pedestrian scene lighting control command information, the driving scene lighting control command information and a preset lighting control signal feature identification matrix; Calculating pedestrian scene lighting control signal feature projection information and driving scene lighting control signal feature projection information based on the pedestrian scene lighting control signal feature query information, the driving scene lighting control signal feature content information, the driving scene lighting control signal feature content information, the pedestrian scene lighting control signal feature identification information, and the driving scene lighting control signal feature identification information; Performing format conversion on the pedestrian scene lighting control signal feature projection information and the driving scene lighting control signal feature projection information to generate parsed pedestrian scene lighting control instruction information and parsed pedestrian scene lighting control instruction information; Allocating the parsed pedestrian scene lighting control instruction information to the plurality of pedestrian lighting scene control subcarriers and the plurality of pedestrian lighting scene control time slots to obtain pedestrian lighting scene control transmission information; Allocating the parsed driving scene lighting control instruction information to the plurality of driving lighting scene control subcarriers and the plurality of driving lighting scene control time slots to obtain driving lighting scene control transmission information; Obtaining pedestrian lighting scene control signal transmission power information and vehicle lighting scene control signal transmission power according to preset lighting control signal transmission power information, preset pedestrian lighting scene control signal transmission power distribution ratio information, and preset vehicle lighting scene control signal transmission power distribution ratio information; sending pedestrian lighting scene control transmission information to a pedestrian scene lighting device according to the pedestrian lighting scene control signal transmission power information, so that the pedestrian scene lighting device performs pedestrian lighting scene control; The driving lighting scene control transmission information is sent to the driving lighting device according to the driving lighting scene control signal transmission power information, so that the driving lighting scene control is performed by the driving scene lighting device.

8. The lighting scene control method according to claim 7, wherein: The step of calculating the pedestrian scene lighting control signal feature projection information and the driving scene lighting control signal feature projection information based on the pedestrian scene lighting control signal feature query information, the driving scene lighting control signal query information, the pedestrian scene lighting control signal feature content information, the driving scene lighting control signal feature content information, the pedestrian scene lighting control signal feature identification information, and the driving scene lighting control signal feature identification information specifically includes: Calculating pedestrian scene lighting control signal feature interaction representation information based on the pedestrian scene lighting control signal feature content information and the pedestrian scene lighting control signal feature identification information; Calculating driving scene lighting control signal feature interaction representation information based on the driving scene lighting control signal feature content information and the driving scene lighting control signal feature identification information; Calculating pedestrian scene lighting control signal feature projection information based on the pedestrian scene lighting control signal feature interaction representation information and the pedestrian scene lighting control signal feature identification information; The driving scene lighting control signal feature projection information is calculated based on the driving scene lighting control signal feature interaction representation information and the driving scene lighting control signal feature identification information.

9. A lighting scene control system, characterized in that: include: A lighting scene image information acquisition module is used to acquire lighting scene image information; A lighting scene image information analysis module is used to analyze and calculate the lighting scene image information according to a preset lighting scene image feature mapping matrix to obtain pedestrian lighting scene image information and vehicle lighting scene image information; A scene lighting equipment information and movement speed information generation module is used to determine pedestrian scene lighting equipment information, pedestrian movement speed information, driving scene lighting equipment information and vehicle movement speed information based on the pedestrian lighting scene image information and the driving lighting scene image information; a lighting control communication resource block allocation module, configured to allocate lighting control communication resource blocks to the pedestrian scene lighting device information and the vehicle scene lighting device information based on the pedestrian movement speed information, the vehicle movement speed information, and the preset lighting control communication resource block quantity information, thereby obtaining pedestrian lighting scene control resource block information and vehicle lighting scene control resource block information; The lighting control instruction information parsing and sending module is used to parse and process the lighting control instruction information obtained in real time based on multiple preset lighting control signal projection matrices, and send the parsed lighting control instruction information to the lighting equipment according to the pedestrian lighting scene control resource block information and the vehicle lighting scene control resource block information, so that the lighting equipment can perform lighting scene control.

10. A terminal device, characterized in that: The terminal device includes a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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