Intelligent lighting method and system

Abstract

The invention provides an intelligent lighting method and system, and is suitable for the technical field of intelligent lighting, and the method comprises the steps: according to the lighting environment traffic flow information, the lighting environment illumination intensity information, the lighting control channel state information and the lighting equipment state information, obtaining a lighting control channel state information; screening initial lighting control signal sending power information, initial lighting control signal time slot allocation information and initial lighting control signal modulation coding information, and according to the screened target lighting control signal sending power information, target lighting control signal time slot allocation information and target lighting control signal modulation coding information, determining the initial lighting control signal according to the target lighting control signal sending power information, the target lighting control signal time slot allocation information and the target lighting control signal modulation coding information. And sending the illumination adjustment signal to the intelligent illumination equipment so as to carry out real-time illumination regulation and control through the intelligent illumination equipment. According to the method and the device, the influence of traffic flow and environment illumination on a wireless channel is considered, and the illumination control signal sending parameter is selected, so that the illumination adjustment signal is sent to the intelligent illumination equipment in time, the dynamic change of the illumination environment is quickly responded, and the real-time performance and the stability of illumination control are improved.

Description

Technical Field

[0001] The present application belongs to the field of intelligent lighting technology, and in particular to intelligent lighting methods and systems. Background Art

[0002] Amidst the current wave of smart city development, smart lighting is booming. Leveraging technologies like the Internet of Things and communications, smart lighting enables intelligent management and control of lighting equipment. Industry developments indicate that the smart lighting market continues to expand, with applications now extending to transportation scenarios.

[0003] In existing technologies, some rely on simple sensors to collect environmental information. For example, they only rely on light sensors to adjust the brightness of street lights and turn lights on and off according to preset times. Some use short-range communication technologies such as ZigBee and Wi-Fi to achieve data transmission between devices. The control end dims, switches, and performs other operations on lighting equipment based on the received data.

[0004] However, existing intelligent lighting technology cannot meet the complex and ever-changing traffic lighting needs in smart cities, and there is room for improvement in lighting energy efficiency and timeliness. Summary of the Invention

[0005] In view of this, the embodiments of the present application provide an intelligent lighting method and system, which aims to solve the problems existing in existing lighting technology that it cannot adapt to the complex and changeable traffic lighting environment in smart cities, the lighting energy efficiency and timeliness are low, and the room for improvement of lighting energy efficiency and timeliness is extremely limited.

[0006] A first aspect of an embodiment of the present application provides an intelligent lighting method, including: Obtaining lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting equipment status information; Interactively mapping and fusing the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting equipment state information to generate lighting state association information; Randomly generating a plurality of initial lighting control signal transmission power information, a plurality of initial lighting control signal time slot allocation information, and a plurality of initial lighting control signal modulation coding information; Filtering the plurality of initial lighting control signal transmission power information, the plurality of initial lighting control signal time slot allocation information, and the plurality of initial lighting control signal modulation and coding information based on the lighting state association information to generate target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information; According to the target lighting control signal transmission power information, target lighting control signal time slot allocation information and target lighting control signal modulation coding information, the real-time acquired lighting adjustment signal is sent to the intelligent lighting device to perform real-time lighting control through the intelligent lighting device.

[0007] A second aspect of the embodiments of the present application provides an intelligent lighting system, including: An information acquisition module is used to obtain lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting equipment status information; a lighting state association information generation module, configured to interactively map and fuse the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting equipment state information to generate lighting state association information; An initial lighting control signal communication parameter generation module, configured to randomly generate a plurality of initial lighting control signal transmission power information, a plurality of initial lighting control signal time slot allocation information, and a plurality of initial lighting control signal modulation and coding information; a target lighting control signal communication parameter generation module, configured to filter and process the plurality of initial lighting control signal transmission power information, the plurality of initial lighting control signal time slot allocation information, and the plurality of initial lighting control signal modulation and coding information based on the lighting state association information, to generate target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information; The lighting adjustment signal sending module is used to send the lighting adjustment signal obtained in real time to the intelligent lighting device based on the target lighting control signal sending power information, target lighting control signal time slot allocation information and target lighting control signal modulation coding information, so as to perform real-time lighting control through the intelligent lighting device.

[0008] 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, it implements the steps of the intelligent lighting method described in the first aspect above.

[0009] The beneficial effects of the embodiments of the present application compared with the prior art are as follows: the present application is applied to traffic lighting scenarios in smart cities, taking into account the impact of traffic flow conditions and ambient lighting conditions on wireless channels in smart cities, and by selecting appropriate lighting control signal transmission power information, lighting control signal time slot allocation information, and lighting control signal modulation coding information, the real-time lighting adjustment signal is sent to the smart lighting device in a timely manner, thereby quickly responding to the complex dynamic changes of the wireless channel in the traffic lighting scenario, so as to improve the real-time and stability of smart lighting, and improve the safety of urban traffic while improving the efficiency of urban lighting. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] 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.

[0011] Figure 1 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 1 of the present application; Figure 2 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 2 of the present application; Figure 3 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 3 of the present application; Figure 4 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 4 of the present application; Figure 5 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 5 of the present application; Figure 6 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 6 of the present application; Figure 7 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 7 of the present application; Figure 8 This is a schematic diagram of the implementation process of the intelligent lighting method provided in Example 8 of the present application; Figure 9 This is a schematic diagram of the structure of the intelligent lighting system provided by an embodiment of the present application; Figure 10 It is a schematic diagram of the terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0012] 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, systems, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0013] In order to illustrate the technical solution described in this application, specific embodiments are provided below.

[0014] Figure 1 The following is a flowchart of the implementation of the intelligent lighting method provided in Example 1 of the present application, which is detailed as follows: Step S101: Acquire lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting equipment status information.

[0015] In this embodiment, lighting environment traffic flow information may refer to traffic flow status data within the lighting area of ​​a smart city. This information may include real-time dynamic information such as vehicle flow, pedestrian flow, driving speed, congestion level, and direction of travel. This information can be used to reflect the traffic activity and traffic demand of a road or area. This information may be obtained through traffic sensors such as infrared sensors, or through video surveillance and computer vision technology that identifies vehicles and pedestrians in surveillance footage. Furthermore, this information may be obtained through the active acquisition and aggregation of position and speed information proactively reported by vehicles within the lighting area using vehicle-to-vehicle communication technology. Lighting environment light intensity information may refer to the intensity of natural or artificial light within the lighting area of ​​a smart city. This information is affected by weather conditions, pedestrian flow, and vehicle flow. Understandably, ambient light intensity is weak on cloudy or rainy days. When there is heavy pedestrian or vehicle flow, the ambient light intensity is increased by mobile phones or other electronic devices carried by people, as well as by vehicle lighting. Lighting environment light intensity information can be collected in real time by deploying light sensors such as photoresistors and silicon photovoltaic cells on streetlight poles, building facades, or along roadsides. For example, this can be achieved by converting the analog signal from a photoresistor (which changes in resistance with light intensity) to a digital value using an analog-to-digital converter (ADC). Alternatively, real-time light data released by meteorological authorities, such as solar radiation intensity, or ground light intensity inferred from satellite remote sensing imagery, can be used to correct local ground light sensor data. Lighting control channel status information refers to the real-time status parameters of the lighting control signal transmission channel, including signal strength (RSSI), signal-to-noise ratio (SNR), bit error rate (BER), latency, and bandwidth utilization, which can be used to assess the quality and reliability of the communication link. This information can be obtained by using the channel probing function integrated into the wireless communication modules between the smart lighting device gateway and the smart lighting control server to collect wireless signal transmission parameters in real time. Alternatively, this information can be obtained by transmitting a known pilot signal and estimating the channel frequency response (CFR) using orthogonal frequency division multiplexing (OFDM) technology to obtain information such as multipath delay and phase offset. Lighting device status information refers to the operating parameters and working status of smart lighting devices. This information can include the device ID, on / off status, brightness level, energy consumption data, fault alarms, and remaining service life. This information can be used to monitor the operation of smart lighting devices in real time. This information can be collected in real time by the built-in microcontroller (MCU) and sensors, including operating voltage, current, temperature, and operating time. This information can then be reported to the cloud or smart lighting control server via a communication module. Alternatively, the operating status data of smart lighting devices can be monitored and transmitted via the remote monitoring function of the Internet of Things (IoT) platform.

[0016] Step S102 : interactively mapping and fusing the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting device state information to generate lighting state association information.

[0017] In this embodiment, the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting device status information can be pre-processed to remove outliers, unify dimensions, and align temporally and spatially. For example, traffic flow and light sensor data for different road sections can be associated with corresponding smart lighting device IDs.

[0018] Interactive mapping and fusion processing can be to generate multiple nodes from the pre-processed lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information and lighting equipment status information, and use the association relationship between nodes, such as spatiotemporal connection and nonlinear association, as the edge between nodes. Specifically, each node can represent a type of lighting environment data, such as the traffic flow at a certain intersection, the light intensity value of a certain area, the signal interference level of a certain channel, the working voltage of a certain lighting equipment, etc. The node attributes can include the real-time value, timestamp, spatial position, etc. of the node data. The edge represents the association relationship between nodes. For example, it represents the association between the lighting environment traffic flow and the lighting control light intensity. Taking the increase in traffic flow at night as an example, the need to increase the light intensity can be connected through the "lighting demand-lighting control response" relationship; for example, it represents the association between the channel status and the device status. Taking the example that the channel signal attenuation may cause the device control instruction to be delayed, it can be connected through the "instruction transmission-instruction execution" relationship. The generated nodes and edges describe the relationship between smart lighting devices and the lighting environment. These generated nodes and edges can then be analyzed and processed using a time series model. The analyzed and processed data can then be spliced ​​to generate lighting state association information. This information covers the spatiotemporal relationship between lighting environment information and smart lighting device status, allowing for the discovery of nonlinear relationships between changes in traffic flow, ambient light intensity, wireless channels, and smart lighting device status. The time series model can be an LSTM model.

[0019] Step S103 : randomly generating a plurality of initial lighting control signal transmission power information, a plurality of initial lighting control signal time slot allocation information, and a plurality of initial lighting control signal modulation and coding information.

[0020] In this embodiment, lighting control signal transmission power information refers to the signal power used when transmitting a lighting control signal from a transmitting end to a receiving end smart lighting device in an intelligent lighting system. This information can directly influence the transmission distance, coverage, and anti-interference capability of the lighting control signal. As can be understood, a greater lighting control signal transmission power information indicates a longer transmission distance, wider coverage, and stronger anti-interference capability. Specifically, when traffic volume is high and wireless channel fading is severe, lighting control signal transmission power information is required to ensure timely and stable lighting control signal transmission. The transmitting end may refer to an intelligent lighting control server. Lighting control signal time slot allocation information may refer to the number of time resource segments allocated for lighting control signals during communication between an intelligent lighting device and the intelligent lighting control server. This information may be achieved by dividing the transmission time into multiple time slots using techniques such as time division multiplexing (TDM), allowing different lighting control signals to be transmitted in their respective time slots in an orderly manner to avoid lighting control signal conflicts. Lighting control signal modulation and coding information may refer to the modulation method and coding scheme used in the process of converting original lighting control instructions, such as "adjust to 30% brightness" or "switch to yellow light," into a signal form suitable for wireless transmission. Modulation methods may include amplitude modulation, frequency modulation, phase modulation, etc., and coding schemes may include error correction coding, compression coding, etc. The number of randomly generated information may be manually set, as well as the value ranges of the lighting control signal transmission power information, lighting control signal time slot allocation information, and lighting control signal modulation and coding information. Multiple initial lighting control signal transmission power information, multiple initial lighting control signal time slot allocation information, and multiple initial lighting control signal modulation and coding information may be randomly generated by a computer for subsequent screening and processing.

[0021] Step S104, based on the lighting status association information, the multiple initial lighting control signal sending power information, the multiple initial lighting control signal time slot allocation information and the multiple initial lighting control signal modulation and coding information are screened and processed to generate the target lighting control signal sending power information, the target lighting control signal time slot allocation information and the target lighting control signal modulation and coding information.

[0022] In this embodiment, optionally, multiple initial lighting control signal transmission power information, multiple initial lighting control signal time slot allocation information, and multiple initial lighting control signal modulation and coding information can be used as multiple particles, each particle has its own position and speed, and then the optimization target is determined based on the lighting state association information, such as reducing energy consumption while ensuring lighting quality, and a corresponding objective function is constructed. The particle can adjust the speed and position according to its own historical optimal position and the historical optimal position of all particles, that is, change the initial lighting control signal transmission power information, the initial lighting control signal time slot allocation information, and the initial lighting control signal modulation and coding information. After each change, the quality of the particle position is evaluated by the objective function to retain a better parameter combination. As all particles continue to iteratively search, they gradually converge to the optimal solution, that is, obtain the target lighting control signal transmission power information, the target lighting control signal time slot allocation information, and the target lighting control signal modulation and coding information.

[0023] In this embodiment, optionally, multiple initial lighting control signal transmission power information, multiple initial lighting control signal time slot allocation information, and multiple initial lighting control signal modulation coding information can be encoded into chromosomes to simulate the selection, crossover, and mutation operations in biological evolution. The fitness function is set based on the lighting state related information. For example, the lighting brightness demand when the traffic flow is large and the signal transmission stability when the channel is congested are considered at the same time. In the population, excellent chromosomes are selected according to the level of fitness, and the chromosomes are exchanged through the crossover operation to generate new parameter combinations. Then, the mutation operation is used to randomly change some genes to increase the diversity of the population. After multiple generations of evolution, the chromosome with the highest fitness is screened out, and the target lighting control signal transmission power information, the target lighting control signal time slot allocation information, and the target lighting control signal modulation coding information are obtained after decoding.

[0024] In this embodiment, optionally, a model for an intelligent agent to interact with the lighting system environment can be constructed, where the action space of the intelligent agent is various possible combinations of multiple initial lighting control signal transmission power information, multiple initial lighting control signal time slot allocation information, and multiple initial lighting control signal modulation and coding information. A reward mechanism is defined based on the lighting state association information. For example, when the lighting system can effectively meet the traffic lighting needs and has low energy consumption under the current parameters, a positive reward is given, and vice versa, a negative reward is given, so that the intelligent agent performs actions in the environment, that is, tries different initial parameter combinations, observes the new state of environmental feedback, such as actual lighting effects, energy consumption changes, channel transmission conditions, and rewards, and gradually learns the optimal action under different lighting state association information through continuous trial and error and using reinforcement learning algorithms such as DQN to update the strategy, that is, generates target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information.

[0025] Step S105 , according to the target lighting control signal transmission power information, the target lighting control signal time slot allocation information and the target lighting control signal modulation coding information, the lighting adjustment signal obtained in real time is sent to the smart lighting device, so as to perform real-time lighting control through the smart lighting device.

[0026] In this embodiment, the target lighting control signal transmission power information can be converted into a format that complies with the power control standard for intelligent lighting devices, clarifying the specific power output requirements of the devices. The target lighting control signal time slot allocation information can be automatically parsed to determine the dedicated time window for signal transmission and calibrated with the time system of the entire communication network to ensure accurate signal transmission time and avoid conflicts with other communication services. The target lighting control signal modulation coding information can be read from the specific modulation rules contained therein to determine the signal modulation method and parameters for modulating the real-time lighting adjustment signal. The real-time lighting adjustment signal can be cleaned and format converted to remove interference data before transmission. The pre-processed lighting adjustment signal can be modulated according to the modulation coding information of the target lighting control signal obtained by analysis, so that the signal has the ability to be transmitted stably in the current complex communication environment, reducing the impact of external interference on the signal, and ensuring that the signal can be transmitted to the intelligent lighting device completely and accurately. Then, according to the power value set by the target lighting control signal sending power information and the target lighting control signal time slot allocation information, the modulated lighting adjustment signal is sent to the wireless communication channel for transmission within the time slot. During the transmission process, the lighting control channel status information can be monitored in real time. Once the channel is found to be in poor conditions such as interference or signal attenuation, countermeasures will be taken immediately, such as appropriately increasing the signal sending power and enhancing the signal strength. When the smart lighting device successfully receives the lighting adjustment signal, it first decodes the signal and extracts the various lighting control instructions contained therein, and then quickly adjusts the lighting parameters according to these lighting control instructions. For example, when the lighting control instruction requires reducing the brightness, the smart lighting device will automatically adjust the current and voltage of the internal circuit, or control the output power of the driver module to reduce the luminous intensity of the light source; if the lighting control instruction requires switching the light color, the smart lighting device will adjust the working status of light sources of different colors and change the mixing ratio of the light sources to present the corresponding light color, thereby realizing real-time lighting regulation.

[0027] The intelligent lighting method provided in the embodiment of the present application is applied to traffic lighting scenarios in smart cities. It takes into account the impact of traffic flow and ambient lighting conditions on wireless channels in smart cities. By selecting appropriate lighting control signal transmission power information, lighting control signal time slot allocation information, and lighting control signal modulation and coding information, the real-time lighting adjustment signal is promptly sent to the intelligent lighting device, thereby quickly responding to the complex dynamic changes of the wireless channel in the traffic lighting scenario, thereby improving the real-time and stability of intelligent lighting, and improving the safety of urban traffic while improving the efficiency of urban lighting.

[0028] Figure 2 The following is a flowchart of an implementation of the intelligent lighting method provided in the second embodiment of the present application. The difference between the second embodiment and the first embodiment is that step S102 specifically includes: Step S201 : extracting the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting environment time information and lighting environment space information of the lighting environment status information.

[0029] In this embodiment, it is understood that the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting device status information are all time series information used to represent the traffic flow information, light intensity information, wireless channel status information, and operating status of the smart lighting device corresponding to each time node. Time information can be extracted from the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting device status information. The extraction can be performed at intervals of minutes, or the timestamp of each information can be extracted to obtain the time information. The lighting environment spatial information can be located based on the physical location of the lighting device and the communication network structure, where the physical location of the lighting device can be extracted by extracting the latitude and longitude information of the geographical location of each smart lighting device by extracting the ID of each smart lighting device.

[0030] Step S202, based on the lighting environment time information and the lighting environment space information, the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel status information and the lighting equipment status information are subjected to time-space alignment, modal mapping and normalization processing to obtain the lighting environment traffic flow matrix information, the lighting environment light intensity matrix information, the lighting control channel status matrix information and the lighting equipment status matrix information.

[0031] In this embodiment, it can be understood that various information sources are different, have their own different collection frequencies, are collected from different time and space ranges, and have different time intervals. Time and space alignment is required to unify the information from various sources into the same time window, for example, all are unified into a time window of 1 minute, or all are unified into a time window of 5 minutes. The lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information and lighting equipment status information can be divided and integrated according to this fixed time window to ensure that all information is comparable at the time point. For information with missing or inconsistent timestamps, an interpolation algorithm is used to supplement and correct it to ensure the continuity of the time series. At the same time, according to the actual deployment of smart lighting equipment in the smart city, the lighting area can be divided into several spatial grids of uniform size, such as 50×50 meters as a grid unit, and each data point is mapped to the corresponding spatial grid, so that data from different locations can be analyzed in a unified spatial framework. It can be understood that the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information and lighting equipment status information belong to different data modes, have different physical meanings and representations, and need to be converted into a unified expression form through modal mapping processing. For the lighting environment traffic flow information, the measurement units such as "vehicles / minute" can be mapped to the congestion level according to the size of the traffic flow, such as level 1 for unobstructed traffic and level 8 for severe congestion; for the lighting environment light intensity information, the value of the "lux" unit can be mapped to the brightness percentage; for the lighting control channel status information, parameters such as signal strength and signal-to-noise ratio can be mapped to the communication quality level; for the lighting equipment status information, the operating parameters of the intelligent lighting equipment such as the working voltage and working current can be mapped to a specific interval, so as to realize the conversion of information of different modes into feature information with unified semantics and scale to eliminate the differences in information modes. Since the numerical ranges of different information vary greatly, it is necessary to normalize the lighting environment traffic flow matrix information, lighting environment light intensity matrix information, lighting control channel state matrix information, and lighting equipment state matrix information after spatiotemporal alignment and modal mapping. Normalization can be performed through z-score, scaling all numerical ranges to the interval (0,1), and then using the normalized values ​​to generate lighting environment traffic flow matrix information, lighting environment light intensity matrix information, lighting control channel state matrix information, and lighting equipment state matrix information.

[0032] Step S203, based on the lighting environment time information, lighting environment space information, lighting environment traffic flow matrix information, lighting environment light intensity matrix information, lighting control channel state matrix information, lighting device state matrix information, preset lighting device association distance and preset lighting environment space mapping function, generate lighting device matrix spatiotemporal correlation distribution representation information; the lighting device matrix spatiotemporal correlation distribution representation information includes multiple lighting device spatiotemporal correlation information.

[0033] In this embodiment, the preset lighting device association distance and the preset lighting environment space mapping function can both be set manually, wherein the preset lighting device association distance can be designed based on the distribution of intelligent lighting devices in the actual lighting scene, and can be a value of 30 meters. The preset lighting environment space mapping function can be a Gaussian kernel function, a linear function based on the inverse of the distance, or a function designed in combination with the road topology structure and building occlusion conditions, which is used to reflect the spatial influence relationship of the real lighting scene. It can be based on the physical location information of each smart lighting device, with each smart lighting device as the center and a preset lighting device association distance as the radius, to screen out other smart lighting devices that are spatially adjacent to each smart lighting device, and count these lighting devices into a set, that is, the information of the smart lighting devices that exist in the physical space adjacent to each smart lighting device in the set corresponding to each smart lighting device, and then quantify the spatial relationship between the smart lighting devices through the lighting environment space mapping function. It can be by splicing the lighting environment time information, lighting environment space information, lighting environment traffic flow matrix information, lighting environment light intensity matrix information, lighting control channel state matrix information, and lighting device state matrix information corresponding to each smart lighting device to generate a vector as the independent variable of the lighting environment space mapping function, and calculate the temporal and spatial correlation of each smart lighting device through the lighting environment space mapping function, so that the calculated vector is used as the spatiotemporal correlation distribution representation information of the lighting device matrix, which includes spatiotemporal correlation information of multiple lighting devices.

[0034] Step S204: Based on the spatiotemporal correlation information of the plurality of lighting devices, the lighting environment traffic flow matrix information, the lighting environment light intensity matrix information, the lighting control channel state matrix information and the lighting device state matrix information are spliced ​​to obtain lighting spatiotemporal state aggregation information.

[0035] In this embodiment, the lighting environment traffic flow matrix information, lighting environment light intensity matrix information, lighting control channel state matrix information and lighting equipment state matrix information at the same spatiotemporal position can be first spliced ​​according to the feature dimension to form a multi-dimensional tensor, and then the multi-dimensional tensor can be weighted fused based on the spatiotemporal correlation information of multiple lighting devices, and the fused matrix can be reduced in dimensionality to generate an aggregated feature vector that can characterize the lighting state of each dimension and the lighting environment state of each spatiotemporal point as the lighting spatiotemporal state aggregation information.

[0036] Step S205 : Based on a plurality of preset lighting device spatiotemporal state mapping matrices, the lighting spatiotemporal state aggregation information is mapped and fused to generate lighting state association information.

[0037] In this embodiment, the multiple preset spatiotemporal state mapping matrices of lighting devices may be manually designed and used to explore potential connections between information of different modalities, namely, to explore potential connections between lighting environment traffic flow information, lighting environment light intensity information, lighting control channel state information, and lighting device state information. The multiple preset spatiotemporal state mapping matrices may be used to perform multiplication or convolution operations on the aggregated spatiotemporal state information to map the aggregated spatiotemporal state information to feature spaces of different dimensions, thereby increasing the logical distance between each piece of aggregated spatiotemporal state information in the feature spaces of different dimensions. The results of the multiple multiplication or convolution operations may be used to generate matrix-formed lighting state association information. Alternatively, the results of the multiple multiplication or convolution operations may be weighted and summed according to preset weight coefficients to generate the lighting state association information.

[0038] The intelligent lighting method provided in the embodiment of the present application extracts the time information and spatial information of the lighting environment, separates the key spatiotemporal features from the massive information, and performs spatiotemporal alignment, modal mapping and normalization processing on the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel status information and the lighting device status information based on the spatiotemporal features, so as to solve the problems of asynchrony and dimensional inconsistency of various modal information, facilitate in-depth analysis of the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel status information and the lighting device status information, quantify the spatiotemporal relationship between each intelligent lighting device through the lighting device association distance and the lighting environment space mapping function, and explore and quantify the potential connection between the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel status information and the lighting device status information, thereby realizing real-time perception of the complex and changeable urban traffic environment, and providing a data basis for the subsequent calculation of intelligent lighting adaptive adjustment, so as to improve the lighting service quality of the smart city while reducing energy consumption and improving the intelligence of the lighting system in the smart city.

[0039] Figure 3 The flowchart of the implementation of the intelligent lighting 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 plurality of preset lighting device spatiotemporal state mapping matrices include a preset lighting device spatiotemporal state representation mapping matrix, a preset lighting device spatiotemporal state matching mapping matrix, and a preset lighting device spatiotemporal state representation carrier mapping matrix; The step S205 specifically includes: Step S301, according to the lighting spatiotemporal state aggregation information, the preset lighting device spatiotemporal state representation mapping matrix, the preset lighting device spatiotemporal state matching mapping matrix and the preset lighting device spatiotemporal state representation carrier mapping matrix, obtain the lighting device spatiotemporal state representation information, the lighting device spatiotemporal state matching information and the lighting device spatiotemporal state representation carrier information.

[0040] In this embodiment, the preset lighting device spatiotemporal state representation mapping matrix, the preset lighting device spatiotemporal state matching mapping matrix, and the preset lighting device spatiotemporal state representation carrier mapping matrix can all be manually set. Specifically, the preset lighting device spatiotemporal state representation mapping matrix can be used to map the lighting spatiotemporal state aggregate information to a high-dimensional feature space, so that the lighting spatiotemporal state aggregate information forms feature representation information with spatiotemporal semantics in the high-dimensional feature space; the preset lighting device spatiotemporal state matching mapping matrix can be used to encode the lighting spatiotemporal state aggregate information to quantify the matching relationship between each lighting spatiotemporal state in the lighting spatiotemporal state aggregate information; and the preset lighting device spatiotemporal state representation carrier mapping matrix can be used to convert the lighting spatiotemporal state aggregate information from high dimension to low dimension or from low dimension to high dimension, and retain the identity of each spatiotemporal feature information in the lighting spatiotemporal state aggregate information during the conversion process, and use the representation as a feature carrier. The lighting spatiotemporal state aggregation information may be multiplied by a preset lighting device spatiotemporal state representation mapping matrix, a preset lighting device spatiotemporal state matching mapping matrix, and a preset lighting device spatiotemporal state representation carrier mapping matrix, respectively, and the multiplication results are used as the lighting device spatiotemporal state representation information, the lighting device spatiotemporal state matching information, and the lighting device spatiotemporal state representation carrier information. It is understandable that the lighting device spatiotemporal state representation information, the lighting device spatiotemporal state matching information, and the lighting device spatiotemporal state representation carrier information are all information in matrix form.

[0041] Step S302 : calculating and obtaining a lighting device spatiotemporal state interaction mapping matrix according to the lighting device spatiotemporal state representation information and the lighting device spatiotemporal state matching information.

[0042] In this embodiment, the lighting device spatiotemporal state representation information and the lighting device spatiotemporal state matching information may be multiplied and then scaled, and the scaled matrix may be used as the lighting device spatiotemporal state interaction mapping matrix.

[0043] Step S303 : calculating and obtaining a lighting device spatiotemporal state fusion matrix according to the lighting device spatiotemporal state interaction mapping matrix and the lighting device spatiotemporal state representation carrier information.

[0044] In this embodiment, the lighting device spatiotemporal state interaction mapping matrix and the lighting device spatiotemporal state representation carrier information may be multiplied, and the multiplication result may be used as the lighting device spatiotemporal state fusion matrix.

[0045] Step S304: performing format conversion processing on the lighting device spatiotemporal state fusion matrix to generate lighting state association information.

[0046] In this embodiment, the spatiotemporal state fusion matrix of lighting devices in matrix form may be converted into lighting state association information through dimensionality adjustment and semantic mapping in combination with downstream application requirements of the intelligent lighting system.

[0047] The intelligent lighting method provided in the embodiment of the present application converts the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information and lighting equipment status information into a specific semantic space for interactive processing through the lighting equipment spatiotemporal state representation mapping matrix, the lighting equipment spatiotemporal state matching mapping matrix and the lighting equipment spatiotemporal state representation carrier mapping matrix, so as to fully explore the potential connections between the information of each modality from various dimensions, avoid the limitations of a single perspective, and enable the generated lighting state association information to adapt to the dynamically changing traffic lighting environment in the smart city in real time, so as to provide effective data support for improving the response timeliness of intelligent lighting, ensure that the lighting control strategy is accurately matched with the actual lighting needs, and ensure the timeliness and reliability of lighting control, thereby improving the safety and comfort of urban traffic.

[0048] Figure 4 The flowchart of the smart lighting 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 S104 specifically includes: Step S401: Generate multiple initial lighting control signal control parameter sets according to multiple initial lighting control signal transmission power information, multiple initial lighting control signal time slot allocation information, and multiple initial lighting control signal modulation and coding information.

[0049] In this embodiment, multiple initial lighting control signal transmission power information, multiple initial lighting control signal time slot allocation information and multiple initial lighting control signal modulation and coding information can be used as elements in a set to generate multiple initial lighting control signal control parameter sets, each initial lighting control signal control parameter set including an initial lighting control signal transmission power information, an initial lighting control signal time slot allocation information and an initial lighting control signal modulation and coding information.

[0050] Step S402, based on multiple sets of initial lighting control signal control parameter sets, lighting state association information, a preset lighting energy efficiency calculation function, a preset lighting control signal transmission stability characterization calculation function, and a preset lighting state control quality characterization calculation function, multiple initial lighting control state optimization measurement value information is calculated.

[0051] In this embodiment, the preset lighting energy efficiency calculation function, the preset lighting control signal transmission stability characterization calculation function, and the preset lighting state control quality characterization calculation function can all be manually set. Among them, the preset lighting energy efficiency calculation function can be a numerator for the effective energy that meets the actual lighting needs, such as the power required to illuminate a designated area to the target illumination, and the denominator for the total power actually consumed, which can include the power consumption of lighting equipment, the power consumption of communication modules, etc. For example, the total power consumption of all intelligent lighting devices in a unit time that meets the specified light intensity standard can be counted and compared with the total power actually consumed. The energy efficiency ratio of on-demand lighting can also be calculated in combination with dynamic needs such as regional pedestrian and vehicle traffic. The preset lighting control signal transmission stability characterization calculation function can be designed in combination with the bit error rate. The stability score corresponding to different bit error rate intervals can be set first. The signal transmission delay can also be taken into consideration, and the delay exceeding the threshold can be deducted. Channel interference, multipath effect and other factors can also be considered. The impact on transmission stability is evaluated by weighted summation and other methods to obtain a comprehensive score, which is used to evaluate the reliability of lighting control signals during transmission. The preset lighting state control quality characterization calculation function can be designed from the dimensions of illumination uniformity, illumination intensity compliance rate, and adaptability to traffic flow and other scenarios. For example, it can be to calculate the deviation rate between the actual illumination intensity and the target intensity in each area of ​​the road to evaluate whether the illumination intensity meets the standard. It can be to measure the illumination uniformity by analyzing the difference in illumination intensity of adjacent street lights. It can be combined with real-time traffic flow data to determine whether the lighting brightness meets the needs of the current traffic scene, such as increasing the brightness during peak hours and reducing the brightness late at night. Different weights are assigned for comprehensive scoring to evaluate the responsiveness of smart lighting to environmental changes in smart cities and the actual control effect. Taking an initial lighting control signal control parameter set as an example, the weight information of each initial lighting control signal control parameter set can be first generated according to the lighting state association information, and then the elements in the initial lighting control signal control parameter set are weighted according to the weight information, and the weighted results are used as independent variables of the preset lighting energy efficiency calculation function, the preset lighting control signal transmission stability characterization calculation function and the preset lighting state control quality characterization calculation function respectively. Through the calculation of the lighting energy efficiency calculation function, the lighting control signal transmission stability characterization calculation function and the lighting state control quality characterization calculation function, three initial lighting control state optimization metric variable information are obtained, and the value obtained by summing or weighted summing the three initial lighting control state optimization metric variable information is used as the initial lighting control state optimization metric value information. It can be understood that one initial lighting control signal control parameter set can calculate one initial lighting control state optimization metric value information, and multiple initial lighting control signal control parameter sets can calculate multiple initial lighting control state optimization metric value information.

[0052] Step S403: determining a maximum value among the plurality of initial lighting control state optimization metric value information as target lighting control state optimization metric value information.

[0053] In this embodiment, the initial lighting control state optimization metric information corresponding to all initial lighting control signal control parameter sets is traversed, and the maximum value is selected as the target lighting control state optimization metric information. For example, if the initial lighting control state optimization metric information for 1000 initial lighting control signal control parameter sets is 0.65, 0.78, 0.59, 0.81, 0.56, 0.48, etc., the maximum value of 0.81 is selected as the target lighting control state optimization metric information for the current round.

[0054] Step S404 , determining whether the target lighting control state optimization metric value information is greater than a preset lighting control state optimization metric threshold; if so, proceeding to step S405 ; if not, proceeding to step S407 .

[0055] In this embodiment, when the target lighting control state optimization metric value information is greater than the preset lighting control state optimization metric threshold, it can be said that the current optimization degree is already able to meet the needs of lighting regulation, and no further optimization calculation is required. The initial lighting control signal control parameter set corresponding to the target lighting control state optimization metric value information is used as the target lighting control signal control parameter set; when the target lighting control state optimization metric value information is less than or equal to the preset lighting control state optimization metric threshold, it can be said that the current optimization degree fails to meet the needs of lighting regulation and further optimization calculation is required. The target lighting control state optimization metric value information is recalculated after adjusting each initial lighting control signal control parameter set to achieve further optimization processing of the lighting control signal transmission power information, the lighting control signal time slot allocation information and the lighting control signal modulation coding information.

[0056] Step S405: Using the initial lighting control signal control parameter set corresponding to the target lighting control state optimization metric value information as the target lighting control signal control parameter set.

[0057] In this embodiment, when the target lighting control state optimization metric value information is greater than the preset lighting control state optimization metric threshold, it can be said that the current optimization level is already able to meet the lighting control requirements, and no further optimization calculation is required. The initial lighting control signal control parameter set corresponding to the target lighting control state optimization metric value information is used as the target lighting control signal control parameter set.

[0058] Step S406 : generating target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information according to the target lighting control signal regulation parameter set.

[0059] In this embodiment, the lighting control signal transmission power information, the lighting control signal time slot allocation information, and the lighting control signal modulation and coding information are extracted from the target lighting control signal control parameter set, and the corresponding target lighting control signal transmission power information, time slot allocation information, and modulation and coding information are generated respectively to convert the parameters into a control instruction format executable by the device, which serves as the target lighting control signal transmission power information, the target lighting control signal time slot allocation information, and the target lighting control signal modulation and coding information, providing timely and effective transmission of direct instructions for real-time lighting control.

[0060] Step S407: taking the initial lighting control signal control parameter set corresponding to the target lighting control state optimization metric value information as a reference lighting control signal control parameter set.

[0061] In this embodiment, when the target lighting control state optimization metric value information is less than or equal to a preset lighting control state optimization metric threshold, it indicates that the current optimization level fails to meet the lighting control requirements and further optimization calculation is required. Therefore, each initial lighting control signal control parameter set is adjusted and the target lighting control state optimization metric value information is recalculated to further optimize the lighting control signal transmit power information, lighting control signal time slot allocation information, and lighting control signal modulation and coding information. Further optimization and adjustment of each initial lighting control signal control parameter set can be performed with the reference lighting control signal control parameter set as the central set.

[0062] Step S408: Generate multiple intermediate lighting control signal control parameter sets based on the multiple initial lighting control signal control parameter sets, the reference lighting control signal control parameter sets, the preset lighting control signal spatial trajectory adjustment coefficients, the preset lighting control signal state transfer coefficients, and the preset lighting control signal state disturbance coefficients.

[0063] In this embodiment, the reference lighting control signal control parameter set may be used as the central set, and parameters of each initial lighting control signal control parameter set may be expanded according to the lighting control signal spatial trajectory adjustment coefficient. The expanded initial lighting control signal control parameter set may then be used as the intermediate lighting control signal control parameter variable set. The intermediate lighting control signal control parameter variable sets may then be cross-mixed using the lighting control signal state transfer coefficient. That is, the lighting control signal state transfer coefficient may be used as the degree of element exchange between the intermediate lighting control signal control parameter variable sets to achieve cross-mixing processing of multiple intermediate lighting control signal control parameter variable sets. The lighting control signal state perturbation coefficient may then be used as the weight to perform weighted processing on the intermediate lighting control signal control parameter variable sets after the cross-mixing processing. That is, the elements in the intermediate lighting control signal control parameter variable sets after the cross-mixing processing may be multiplied by the lighting control signal state perturbation coefficient. The intermediate lighting control signal control parameter variable sets adjusted by the lighting control signal state perturbation coefficient may then be used as the intermediate lighting control signal control parameter set.

[0064] Step S409 : Using the multiple intermediate lighting control signal control parameter sets as the multiple initial lighting control signal control parameter sets, and returning to step S402 .

[0065] In this embodiment, multiple intermediate lighting control signal control parameter sets are used as the initial lighting control signal control parameter sets for the next round of iterative calculation to maximize the target lighting control state optimization metric information, and ultimately output high-quality lighting control parameters that meet actual needs as target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation coding information.

[0066] The smart lighting method provided in the embodiments of the present application generates multiple initial lighting control signal control parameter sets to cover a variety of possible lighting control strategies. Based on the initial lighting control signal control parameter sets and combined with lighting state-related information, the method utilizes a preset lighting energy efficiency calculation function, a preset lighting control signal transmission stability representation calculation function, and a preset lighting state control quality representation calculation function to multi-dimensionally quantify the control effects of the lighting control strategies. This accurately quantifies the degree of adaptability of each lighting control strategy to the current lighting environment. Through multiple iterations, the method selects target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information that are sufficiently adaptable to the current lighting environment. This method dynamically adapts to real-time changes in traffic flow, dynamic adjustments to lighting requirements, and unstable channel conditions in smart cities. The generated target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information ensure high-efficiency operation of smart lighting, reduce energy consumption, and ensure stable transmission of lighting control signals, improving the real-time performance and quality of lighting control. This enables precise and efficient allocation of urban lighting resources, thereby effectively improving traffic safety in smart cities.

[0067] Figure 5 The flowchart of the intelligent lighting method provided in the fifth embodiment of the present application is shown. The difference between the fifth embodiment and the fourth embodiment is that the step S402 specifically includes: Step S501 : obtaining a plurality of lighting energy efficiency information according to a plurality of initial lighting control signal control parameter sets, lighting state associated information, and a preset lighting energy efficiency calculation function.

[0068] In this embodiment, the lighting control signal transmission power information in each initial lighting control signal control parameter set can be combined with the current lighting state related information, such as the lower lighting demand corresponding to the current low traffic flow period and the existing light intensity on the road, and substituted into a preset lighting energy efficiency calculation function. The lighting energy efficiency calculation function calculates the actual energy consumed by the lighting equipment under different parameters and the lighting effect achieved, and obtains the lighting energy efficiency information corresponding to each initial lighting control signal control parameter set.

[0069] Step S502 : obtaining a plurality of lighting control signal transmission stability representation degree information according to the plurality of initial lighting control signal control parameter sets, lighting state associated information, and a preset lighting control signal transmission stability representation degree calculation function.

[0070] In this embodiment, the lighting control signal time slot allocation information and the lighting control signal modulation and coding information in multiple initial lighting control signal control parameter sets can be combined with the lighting control channel state information in the lighting state association information, such as the current interference situation of the channel, signal strength, etc., and input into a preset lighting control signal transmission stability characterization calculation function. The lighting control signal transmission stability characterization calculation function analyzes the possibility of bit errors and packet loss during the control signal transmission process, and whether the transmission delay meets the requirements, etc., to obtain the lighting control signal transmission stability characterization information corresponding to each initial lighting control signal control parameter set. The information is used to judge the reliability of the lighting control signal transmission under the initial lighting control signal control parameter set and is expressed in a numerical form to ensure that the lighting control signal can be stably and accurately transmitted to the smart lighting equipment in the smart city, avoid the lighting equipment from being unable to correctly execute the control instructions due to signal transmission problems, ensure the normal operation of the smart lighting system, and thus improve the stability and reliability of the smart lighting.

[0071] Step S503 : obtaining a plurality of lighting state control quality representation information according to the plurality of initial lighting control signal control parameter sets, lighting state associated information, and a preset lighting state control quality representation calculation function.

[0072] In this embodiment, the initial lighting control signal control parameter set, combined with the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information and lighting equipment status information in the lighting state associated information, can be used as the independent variable of the lighting state control quality representation calculation function. The lighting state control quality representation calculation function comprehensively considers factors such as whether the lighting equipment can reasonably adjust the brightness according to the current traffic flow, whether the road lighting uniformity can be guaranteed, and whether the lighting needs of pedestrians and vehicles are met under the control of the initial lighting control signal control parameter set. The lighting state control quality representation information corresponding to each parameter set is calculated to quantify the quality of the lighting control effect, so as to measure the adaptability of the lighting system to the urban environment under different parameter combinations, ensure that lighting control can effectively improve the quality of road lighting, meet the needs of traffic safety and public comfort in smart cities, and improve the level of urban lighting services.

[0073] Step S504 : Calculate and obtain a plurality of initial lighting control state optimization metric value information based on the plurality of lighting energy efficiency information, lighting control signal transmission stability representation information, and lighting state regulation quality representation information.

[0074] In this embodiment, the lighting energy efficiency information, lighting control signal transmission stability information, and lighting state control quality information corresponding to each initial lighting control signal control parameter set are comprehensively calculated according to certain weights, and the resulting calculation results serve as the initial lighting control state optimization metric information. The weights can be pre-set based on actual needs and importance. For example, during periods of energy shortage, the weight of lighting energy efficiency information can be increased.

[0075] The intelligent lighting method provided in the embodiment of the present application obtains lighting energy efficiency information through the initial lighting control signal control parameter set, lighting state related information and a preset lighting energy efficiency calculation function. It can accurately evaluate the energy utilization efficiency of lighting equipment under different parameter combinations, and use the lighting control signal transmission stability characterization calculation function to analyze the adaptability of the parameter set and the channel state, thereby ensuring the reliable transmission of the control signal in a complex urban environment, ensuring the stable transmission of the lighting control quality, avoiding lighting anomalies caused by signal interruption, and improving the stability and reliability of the lighting system operation in the smart city. The lighting state control quality characterization calculation function integrates the lighting environment traffic flow information, the lighting environment light intensity information, and the lighting control channel state information to quantitatively evaluate the adaptation effect of the lighting control to the actual scene, thereby improving the public experience while ensuring traffic safety, reflecting the people-oriented service concept of the smart city, and thus providing an effective data basis for the intelligent lighting system to achieve coordinated optimization of energy efficiency, reliability, and service quality in a dynamic urban environment, and helping to build an efficient, safe, and sustainable smart city lighting ecosystem.

[0076] Figure 6 The flowchart of the implementation of the intelligent lighting method provided in the sixth embodiment of the present application is shown. The difference between the sixth embodiment and the fourth embodiment is that the step S408 specifically includes: Step S601 : obtaining a plurality of lighting control signal space trajectory optimization sets according to the plurality of initial lighting control signal control parameter sets and preset lighting control signal space trajectory adjustment coefficients.

[0077] In this embodiment, for each initial lighting control signal control parameter set, each element in the initial lighting control signal control parameter set is adjusted based on a preset lighting control signal spatial trajectory adjustment coefficient. This can involve adjusting the lighting control signal transmit power information, lighting control signal time slot allocation information, and lighting control signal modulation and coding information in the initial lighting control signal control parameter set by a certain percentage relative to the original value based on the lighting control signal spatial trajectory adjustment coefficient. Similarly, adjustments are made to the lighting control signal time slot allocation information and lighting control signal modulation and coding information to suit their respective value characteristics, thereby obtaining multiple new parameter sets as lighting control signal spatial trajectory optimized sets. Adjusting the initial lighting control signal control parameter set using the lighting control signal spatial trajectory adjustment coefficient allows exploration of different possible parameter values ​​in space, expanding the search range and avoiding being confined to the narrow range of initial parameter values. This helps find more optimal lighting control parameter combinations and improves the adaptability of the intelligent lighting system in different scenarios.

[0078] Step S602 : obtaining a plurality of lighting control signal state transfer optimization sets according to the plurality of initial lighting control signal control parameter sets, the reference lighting control signal control parameter set, and the preset lighting control signal state transfer coefficients.

[0079] In this embodiment, multiple initial lighting control signal control parameter sets are combined with a reference lighting control signal control parameter set, and a preset lighting control signal state transfer coefficient is used to transfer some parameter features in the reference lighting control signal control parameter set to each initial parameter set in a certain proportion. For example, a certain efficient lighting control signal time slot allocation information scheme in the reference set is partially integrated with its characteristics into the time slot allocation information of different initial lighting control signal control parameter sets through the lighting control signal state transfer coefficient. At the same time, similar fusion operations are performed on other parameters, namely the lighting control signal time slot allocation information and the lighting control signal modulation and coding information, which comprehensively consider the overall parameter synergy. Thus, multiple lighting control signal state transfer optimization sets are generated, which can guide the initial lighting control signal control parameter set to evolve in a more optimal direction, accelerate the optimization process, and make the subsequently generated parameter sets more likely to be close to the optimal solution, thereby improving the optimization efficiency of the lighting control signal transmission power information, the lighting control signal time slot allocation information, and the lighting control signal modulation and coding information.

[0080] Step S603 : obtaining a plurality of lighting control signal state disturbance optimization sets according to the reference lighting control signal regulation parameter set and the preset lighting control signal state disturbance coefficient.

[0081] In this embodiment, based on a reference lighting control signal control parameter set, the parameters in the reference lighting control signal control parameter set are randomly perturbed according to a preset lighting control signal state perturbation coefficient. Specifically, within certain constraints and rules, the elements in the reference lighting control signal control parameter set are randomly adjusted in small increments. For example, the lighting control signal transmit power information in the reference lighting control signal control parameter set is randomly increased or decreased near its value. The lighting control signal time slot allocation information and the lighting control signal modulation and coding information are also randomly adjusted accordingly and appropriately, thereby generating multiple new parameter sets, namely, optimized lighting control signal state perturbation sets. The introduction of random perturbations increases the diversity of parameter sets and prevents the algorithm from falling into local optimal solutions. By performing random perturbations based on a relatively optimized reference lighting control signal control parameter set, the system explores the unexplored parameter space surrounding the reference solution, potentially discovering better parameter combinations and enhancing the adaptability of intelligent lighting in complex and dynamic urban traffic environments.

[0082] Step S604 : generating a plurality of intermediate lighting control signal regulation parameter sets according to the plurality of lighting control signal spatial trajectory optimization sets, lighting control signal state transfer optimization sets, and lighting control signal state disturbance optimization sets.

[0083] In this embodiment, the parameters of the corresponding positions of the lighting control signal spatial trajectory optimization set, the lighting control signal state transfer optimization set, and the lighting control signal state disturbance optimization set can be weighted averaged, or some of the parameters can be selected and recombined according to different needs and scenarios, etc., to finally generate multiple intermediate lighting control signal control parameter sets.

[0084] The intelligent lighting method provided in the embodiment of the present application generates an optimized set of lighting control signal spatial trajectories based on an initial lighting control signal control parameter set and a preset lighting control signal spatial trajectory adjustment coefficient. It can systematically explore the possibilities of lighting control signal transmission power information, lighting control signal time slot allocation information, and lighting control signal modulation and coding information under different value ranges, so that intelligent lighting equipment can flexibly adapt to the complex lighting needs of different spatial scenes such as transportation hubs and commercial streets in the city. The initial lighting control signal control parameter set, the reference lighting control signal control parameter set, and the lighting control signal state transfer coefficient are used to optimize the transfer of parameters, thereby achieving rapid migration of high-quality lighting solution experience and accelerating the global intelligent lighting optimization process. Random perturbations are introduced through the lighting control signal state perturbation coefficient to continuously explore potential better combinations of lighting control signal transmission power information, lighting control signal time slot allocation information, and lighting control signal modulation and coding information, thereby effectively improving lighting energy efficiency, signal transmission stability, and lighting quality, and fully meeting the smart city's development needs for efficient, intelligent, and green lighting systems.

[0085] Figure 7 The flowchart of the smart lighting method according to the seventh embodiment of the present application is shown. The difference between the seventh embodiment and the first embodiment is that after step S105, the method further includes: Step S701: Acquire lighting environment holiday information.

[0086] In this embodiment, holiday information of the lighting environment can be obtained by connecting with the city's public calendar system, and the dates of national statutory holidays, local festivals or major events can be synchronized in real time; social media data monitoring can also be used to analyze the popularity of public topics in the area and identify potential holidays or celebrations.

[0087] Step S702: generating holiday lighting control signal time slot allocation information in response to the acquisition of the lighting environment holiday information.

[0088] In this embodiment, based on the traffic flow and personnel activity patterns during holidays, combined with the time slot allocation rules of the lighting control signal, exclusive time segments can be divided for the holiday lighting control signal as the holiday lighting control signal time slot allocation information to avoid time slot conflicts with conventional lighting and other communication services, and to ensure the effectiveness of the holiday lighting effect control signal transmission.

[0089] Step S703: Generate a holiday lighting effect control signal according to the holiday information of the lighting environment and a preset holiday lighting effect library.

[0090] In this embodiment, the preset holiday lighting effects library stores multiple themed lighting effect templates corresponding to different holidays, such as the red lanterns of Spring Festival and the pink heart patterns of Valentine's Day. Based on the current holiday, the corresponding lighting effect template is retrieved and fine-tuned based on real-time lighting environment data, such as pedestrian flow and current light intensity. A control signal containing instructions for color, pattern, and flashing frequency is generated as the holiday lighting effect control signal.

[0091] Step S704: Send the holiday lighting effect control signal to the smart lighting device according to the target lighting control signal transmission power information, the holiday lighting control signal time slot allocation information, and the target lighting control signal modulation coding information, so as to perform holiday lighting effect control through the smart lighting device.

[0092] In this embodiment, the holiday lighting effect control signal can be format-converted according to the target modulation and coding method, the signal strength can be adjusted according to the target power parameter, and it can be sent within the exclusive time slot indicated by the holiday lighting control signal time slot allocation information. After the intelligent lighting device receives the holiday lighting effect control signal, it decodes and parses the instructions to drive the lighting system to switch to holiday mode, such as projecting dynamic patterns, adjusting color temperature and brightness, and creating a festive atmosphere.

[0093] The intelligent lighting method provided in the embodiment of the present application realizes the upgrade of the lighting system from functional to scenario-based services by obtaining holiday information and matching holiday lighting effect control strategies. In smart cities, it can not only ensure the stability of signal transmission through dynamic time slot allocation, but also quickly respond to specific holiday needs based on the holiday lighting effect library, thereby improving the holiday experience of citizens in smart cities and avoiding energy waste and signal conflicts caused by lighting adjustments during the holidays, thereby realizing refined, humanized and intelligent management of urban lighting services.

[0094] Figure 8 The flowchart of the intelligent lighting method provided in the eighth embodiment of the present application is shown. The difference between the eighth embodiment and the first embodiment is that after step S105, the method further includes: Step S801: Acquire lighting environment alarm information.

[0095] In this embodiment, lighting environment alarm information can be obtained through real-time collection through multiple channels. It can obtain natural disasters such as typhoons and earthquakes by connecting to the city emergency management platform; it can obtain official alarms through public safety incidents such as fires; it can detect abnormal conditions such as excessive smoke concentration, vehicle collisions, etc. and trigger alarms through the sensor network deployed on the roads in the smart city; it can also receive on-site information reported by the public through the emergency APP to achieve the acquisition of lighting environment alarm information.

[0096] Step S802 : generating alarm lighting control signal time slot allocation information and alarm lighting control signal modulation and coding information in response to the acquisition of the lighting environment alarm information.

[0097] In this embodiment, high-priority time slots are preferentially allocated to alarm lighting control signals, i.e., alarm lighting control signal time slot allocation information, to ensure timely transmission of alarm lighting control signals. Based on the alarm urgency and channel congestion, a modulation coding method with strong anti-interference capability is dynamically selected as the modulation coding information of the alarm lighting control signal. For example, spread spectrum modulation is used when electromagnetic interference is severe to ensure stable and reliable transmission of alarm lighting control.

[0098] Step S803: generating an alarm lighting effect control signal according to the lighting environment alarm information and a preset alarm lighting effect library.

[0099] In this embodiment, a pre-set alarm lighting effect library can be used to define standardized visual schemes for different alarm types, such as red flashing lights with a rapid frequency to indicate a fire alarm, and alternating blue and white lights for public security incident warnings. The corresponding alarm lighting effect scheme can be instantly retrieved based on the alarm type, and parameters can be adjusted based on the real-time environment, such as expanding lighting coverage and increasing brightness. This generates a control signal containing instructions for color change, flashing rhythm, and pattern projection, serving as the alarm lighting effect control signal.

[0100] Step S804: Send the alarm lighting effect control signal to the smart lighting device according to the target lighting control signal transmission power information, the alarm lighting control signal time slot allocation information, and the alarm lighting control signal modulation coding information, so as to control the alarm lighting effect through the smart lighting device.

[0101] In this embodiment, the alarm lighting effect control signal can be coded and modulated according to the alarm lighting control signal modulation coding information, and then transmitted to the smart lighting device using the target lighting control signal transmission power information within the dedicated alarm lighting control signal time slot allocation information. Upon receiving the alarm lighting effect control signal, the smart lighting device quickly responds by changing light color, activating high-frequency flashing, or projecting evacuation arrow patterns to guide people to safety. Furthermore, the smart lighting device can be linked with traffic lights and broadcast systems to establish a multi-dimensional emergency guidance system.

[0102] The smart lighting method provided in the embodiment of the present application obtains alarm information through multiple channels and scientifically allocates signal resources to ensure that smart lighting equipment can switch to warning mode as soon as possible in an emergency. It uses highly recognizable lighting effects to assist emergency command and personnel evacuation, thereby effectively assisting emergency rescue work, thereby improving the ability of smart cities to respond to emergencies and providing strong protection for the safety of citizens' lives and property.

[0103] Corresponding to the method of the above embodiment, Figure 9 A structural block diagram of the intelligent lighting 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 intelligent lighting system may be an execution subject of the intelligent lighting method provided in the aforementioned first embodiment.

[0104] Reference Figure 9 , the intelligent lighting system includes: Information acquisition module 910, used to obtain lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information and lighting equipment status information; The lighting state association information generating module 920 is configured to interactively map and fuse the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting device state information to generate lighting state association information; An initial lighting control signal communication parameter generation module 930 is configured to randomly generate a plurality of initial lighting control signal transmission power information, a plurality of initial lighting control signal time slot allocation information, and a plurality of initial lighting control signal modulation and coding information; a target lighting control signal communication parameter generating module 940, configured to filter and process the plurality of initial lighting control signal transmission power information, the plurality of initial lighting control signal time slot allocation information, and the plurality of initial lighting control signal modulation and coding information based on the lighting state association information, to generate target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information; The lighting adjustment signal sending module 950 is used to send the lighting adjustment signal obtained in real time to the intelligent lighting device according to the target lighting control signal sending power information, target lighting control signal time slot allocation information and target lighting control signal modulation coding information, so as to perform real-time lighting control through the intelligent lighting device.

[0105] The process of each module realizing its own function in the intelligent lighting system provided in the embodiment of the present application can be specifically referred to the aforementioned Figure 1 The description of the first embodiment is omitted here.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] The smart lighting 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.

[0113] 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.

[0114] 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.

[0115] Figure 10This 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 embodiments of the intelligent lighting method 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.

[0116] 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.

[0117] The processor 1000 may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0118] 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 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, application programs, a boot loader, 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.

[0119] 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.

[0120] 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.

[0121] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned various method embodiments can be implemented.

[0122] An embodiment of the present application provides a computer program product. When the computer program product is run on a terminal device, the terminal device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0123] 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 processes 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. When the computer program is executed by a processor, it can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or system that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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. An intelligent lighting method, characterized in that: include: Obtaining lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting equipment status information; Interactively mapping and fusing the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting equipment state information to generate lighting state association information; Randomly generating a plurality of initial lighting control signal transmission power information, a plurality of initial lighting control signal time slot allocation information, and a plurality of initial lighting control signal modulation coding information; Filtering the plurality of initial lighting control signal transmission power information, the plurality of initial lighting control signal time slot allocation information, and the plurality of initial lighting control signal modulation and coding information based on the lighting state association information to generate target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information; According to the target lighting control signal transmission power information, target lighting control signal time slot allocation information and target lighting control signal modulation coding information, the real-time acquired lighting adjustment signal is sent to the intelligent lighting device to perform real-time lighting control through the intelligent lighting device.

2. The intelligent lighting method according to claim 1, wherein: The step of interactively mapping and fusing the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting device state information to generate lighting state association information specifically includes: Extracting the lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting equipment status information, lighting environment time information, and lighting environment space information; According to the lighting environment time information and the lighting environment spatial information, performing spatiotemporal alignment, modal mapping, and normalization processing on the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting device state information to obtain lighting environment traffic flow matrix information, lighting environment light intensity matrix information, lighting control channel state matrix information, and lighting device state matrix information; Generate spatiotemporal correlation distribution representation information of a lighting device matrix based on the lighting environment time information, the lighting environment spatial information, the lighting environment traffic flow matrix information, the lighting environment light intensity matrix information, the lighting control channel state matrix information, the lighting device state matrix information, the preset lighting device association distance, and the preset lighting environment space mapping function; the spatiotemporal correlation distribution representation information of the lighting device matrix includes spatiotemporal correlation information of multiple lighting devices; According to the spatiotemporal correlation information of the plurality of lighting devices, the lighting environment traffic flow matrix information, the lighting environment light intensity matrix information, the lighting control channel state matrix information and the lighting device state matrix information are spliced ​​to obtain lighting spatiotemporal state aggregation information; Based on a plurality of preset spatiotemporal state mapping matrices of lighting devices, the spatiotemporal state aggregation information of lighting is mapped and fused to generate lighting state association information.

3. The intelligent lighting method according to claim 2, wherein: The plurality of preset lighting device spatiotemporal state mapping matrices include a preset lighting device spatiotemporal state representation mapping matrix, a preset lighting device spatiotemporal state matching mapping matrix, and a preset lighting device spatiotemporal state representation carrier mapping matrix; The step of mapping and fusing the lighting spatiotemporal state aggregate information based on a plurality of preset lighting device spatiotemporal state mapping matrices to generate lighting state association information specifically includes: Obtaining lighting device spatiotemporal state representation information, lighting device spatiotemporal state matching information, and lighting device spatiotemporal state representation carrier information according to the lighting spatiotemporal state aggregation information, the preset lighting device spatiotemporal state representation mapping matrix, the preset lighting device spatiotemporal state matching mapping matrix, and the preset lighting device spatiotemporal state representation carrier mapping matrix; Calculating a lighting device spatiotemporal state interaction mapping matrix based on the lighting device spatiotemporal state representation information and the lighting device spatiotemporal state matching information; Calculating a lighting device spatiotemporal state fusion matrix based on the lighting device spatiotemporal state interaction mapping matrix and the lighting device spatiotemporal state representation carrier information; Format conversion processing is performed on the lighting equipment spatiotemporal state fusion matrix to generate lighting state association information.

4. The intelligent lighting method according to claim 1, wherein: The step of screening and processing the plurality of initial lighting control signal transmission power information, the plurality of initial lighting control signal time slot allocation information, and the plurality of initial lighting control signal modulation and coding information based on the lighting state association information to generate target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information specifically includes: generating a plurality of initial lighting control signal control parameter sets according to the plurality of initial lighting control signal transmission power information, the plurality of initial lighting control signal time slot allocation information, and the plurality of initial lighting control signal modulation and coding information; Calculating a plurality of initial lighting control state optimization metric value information based on the plurality of initial lighting control signal control parameter sets, the lighting state association information, a preset lighting energy efficiency calculation function, a preset lighting control signal transmission stability representation calculation function, and a preset lighting state control quality representation calculation function; determining a maximum value among the plurality of initial lighting control state optimization metric value information as target lighting control state optimization metric value information; Determining whether the target lighting control state optimization metric value information is greater than a preset lighting control state optimization metric threshold; If yes, taking the initial lighting control signal control parameter set corresponding to the target lighting control state optimization metric value information as the target lighting control signal control parameter set; generating target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information according to the target lighting control signal regulation parameter set; If not, taking the initial lighting control signal control parameter set corresponding to the target lighting control state optimization metric value information as the reference lighting control signal control parameter set; generating a plurality of intermediate lighting control signal control parameter sets according to the plurality of initial lighting control signal control parameter sets, the reference lighting control signal control parameter set, a preset lighting control signal spatial trajectory adjustment coefficient, a preset lighting control signal state transfer coefficient, and a preset lighting control signal state disturbance coefficient; The multiple intermediate lighting control signal control parameter sets are used as multiple initial lighting control signal control parameter sets, and the process returns to the step of calculating multiple initial lighting control state optimization metric value information based on the multiple initial lighting control signal control parameter sets, lighting state association information, a preset lighting energy efficiency calculation function, a preset lighting control signal transmission stability representation calculation function, and a preset lighting state control quality representation calculation function.

5. The intelligent lighting method according to claim 4, wherein: The step of calculating and obtaining a plurality of initial lighting control state optimization metric value information based on the plurality of initial lighting control signal control parameter sets, the lighting state associated information, the preset lighting energy efficiency calculation function, the preset lighting control signal transmission stability representation calculation function, and the preset lighting state control quality representation calculation function specifically includes: Obtaining a plurality of lighting energy efficiency information according to the plurality of initial lighting control signal control parameter sets, the lighting state associated information, and a preset lighting energy efficiency calculation function; Obtaining a plurality of lighting control signal transmission stability representation degree information according to the plurality of initial lighting control signal control parameter sets, the lighting state association information, and a preset lighting control signal transmission stability representation degree calculation function; Obtaining a plurality of lighting state control quality representation degree information according to the plurality of initial lighting control signal control parameter sets, the lighting state associated information, and a preset lighting state control quality representation degree calculation function; Based on the plurality of lighting energy efficiency information, lighting control signal transmission stability representation information and lighting state regulation quality representation information, a plurality of initial lighting control state optimization metric value information is calculated and obtained.

6. The intelligent lighting method according to claim 4, wherein: The step of generating a plurality of intermediate lighting control signal control parameter sets based on the plurality of initial lighting control signal control parameter sets, the reference lighting control signal control parameter set, the preset lighting control signal spatial trajectory adjustment coefficient, the preset lighting control signal state transfer coefficient, and the preset lighting control signal state disturbance coefficient specifically includes: Obtaining a plurality of lighting control signal space trajectory optimization sets according to the plurality of initial lighting control signal control parameter sets and the preset lighting control signal space trajectory adjustment coefficients; Obtaining a plurality of lighting control signal state transfer optimization sets according to the plurality of initial lighting control signal control parameter sets, the reference lighting control signal control parameter set, and the preset lighting control signal state transfer coefficients; Obtaining a plurality of lighting control signal state disturbance optimization sets according to the reference lighting control signal regulation parameter set and the preset lighting control signal state disturbance coefficient; A plurality of intermediate lighting control signal regulation parameter sets are generated according to the plurality of lighting control signal space trajectory optimization sets, lighting control signal state transfer optimization sets, and lighting control signal state disturbance optimization sets.

7. The intelligent lighting method according to claim 1, wherein: After the step of transmitting the lighting adjustment signal acquired in real time to the intelligent lighting device according to the target lighting control signal transmission power information, the target lighting control signal time slot allocation information, and the target lighting control signal modulation and coding information, so as to perform real-time lighting control through the intelligent lighting device, the method further includes: Get lighting environment holiday information; In response to the acquisition of the lighting environment holiday information, generating holiday lighting control signal time slot allocation information; Generate a holiday lighting effect control signal according to the lighting environment holiday information and a preset holiday lighting effect library; According to the target lighting control signal transmission power information, the holiday lighting control signal time slot allocation information and the target lighting control signal modulation coding information, the holiday lighting effect control signal is sent to the smart lighting device to perform holiday lighting effect control through the smart lighting device.

8. The intelligent lighting method according to claim 1, wherein: After the step of transmitting the lighting adjustment signal acquired in real time to the intelligent lighting device according to the target lighting control signal transmission power information, the target lighting control signal time slot allocation information, and the target lighting control signal modulation and coding information, so as to perform real-time lighting control through the intelligent lighting device, the method further includes: Get lighting environment alarm information; generating alarm lighting control signal time slot allocation information and alarm lighting control signal modulation and coding information in response to acquisition of the lighting environment alarm information; generating an alarm lighting effect control signal according to the lighting environment alarm information and a preset alarm lighting effect library; According to the target lighting control signal transmission power information, the alarm lighting control signal time slot allocation information and the alarm lighting control signal modulation coding information, the alarm lighting effect control signal is sent to the intelligent lighting device to perform alarm lighting effect regulation through the intelligent lighting device.

9. An intelligent lighting system, characterized in that: include: An information acquisition module is used to obtain lighting environment traffic flow information, lighting environment light intensity information, lighting control channel status information, and lighting equipment status information; a lighting state association information generation module, configured to interactively map and fuse the lighting environment traffic flow information, the lighting environment light intensity information, the lighting control channel state information, and the lighting equipment state information to generate lighting state association information; An initial lighting control signal communication parameter generation module, configured to randomly generate a plurality of initial lighting control signal transmission power information, a plurality of initial lighting control signal time slot allocation information, and a plurality of initial lighting control signal modulation and coding information; a target lighting control signal communication parameter generation module, configured to filter and process the plurality of initial lighting control signal transmission power information, the plurality of initial lighting control signal time slot allocation information, and the plurality of initial lighting control signal modulation and coding information based on the lighting state association information, to generate target lighting control signal transmission power information, target lighting control signal time slot allocation information, and target lighting control signal modulation and coding information; The lighting adjustment signal sending module is used to send the lighting adjustment signal obtained in real time to the intelligent lighting device based on the target lighting control signal sending power information, target lighting control signal time slot allocation information and target lighting control signal modulation coding information, so as to perform real-time lighting control through the intelligent lighting device.

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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