622 results about "Intelligent lighting" patented technology

The invention relates to the technical field of intelligent traffic and energy-saving illumination, in particular to an intelligent management and control method and system for energy-saving illumination of a highway tunnel and a computer program, and is suitable for an intelligent illumination control system for improving tunnel driving safety and energy efficiency of an illumination system. Dynamic response and fine energy consumption adjustment of tunnel lighting are realized through out-of-tunnel brightness multi-source fusion prediction, entrance section feedforward, closed-loop dimming control, a segmented intelligent lighting strategy based on vehicle detection and an in-tunnel brightness closed-loop and stepless dimming mechanism. The system has a multi-sensor redundancy mechanism and can automatically return to a safety mode when equipment fails, so that the continuity and the safety of illumination are guaranteed; and meanwhile, data summarization and energy-saving statistics are combined, control parameters are optimized in cooperation with a digital twinning or self-learning algorithm, the energy-saving effect and the operation and maintenance efficiency are further improved, and the purposes of traffic safety and low-carbon operation are considered.

The invention relates to an LED intelligent lighting control method and device based on the Internet of Things, and the method can collect the environment perception data of a plurality of intelligent LED lamps, and carries out the dimming calculation, and obtains an initial dimming parameter. Performing instruction construction on the initial dimming parameters in combination with historical energy consumption records and environmental perception data of the intelligent LED lamp, and generating a target dimming instruction; controlling the intelligent LED lamp through an edge gateway based on the target dimming instruction, and obtaining lamp response data; and continuously judging the intelligent LED lamp according to the lamp response data to obtain fault judgment information, and triggering an operation and maintenance control instruction. According to the invention, the operation state of the intelligent LED lamp can be accurately judged, potential faults can be found in time, and automatic operation and maintenance can be triggered. According to the invention, the operation state of the intelligent LED lamp can be accurately judged, potential faults can be found in time, and automatic operation and maintenance can be triggered.

A low-delay multi-protocol intelligent lighting synchronization system based on a unified abstraction layer comprises the steps that an instruction from a multi-protocol bridging module is received, and network round-trip time data of terminal equipment is acquired through an active detection mechanism; based on the network round-trip time data, adopting a Kalman filtering algorithm to construct a delay prediction model so as to predict the future network delay of the terminal equipment; inputting the instruction into a third-stage buffer area for processing, and dynamically adjusting the trigger frequency of the active detection mechanism according to the load state of the third-stage annular buffer area; calculating queue delay of the buffer area according to the received load state of the buffer area, and obtaining final sending time of the instruction in combination with future network delay of the terminal equipment; and at the final sending time, sending the instruction from the sending buffer area to the corresponding terminal equipment. According to the system, low-delay and high-stability synchronization of cross-protocol equipment in the field of intelligent illumination is realized.

The invention discloses an AI-based illumination control system self-adaptive dimming method, which comprises the following steps of: acquiring a two-dimensional coordinate, a motion track curve and voice communication data of a personnel position, and identifying social interaction scene categories of different time slices; determining a social interaction strength score according to the voice communication data, and predicting the most adaptive spectrum configuration data in the current social interaction scene in combination with the social influence factor matrix and the social interaction scene type; according to a historical dimming log and an energy consumption metering curve, identifying a short-term high-frequency dimming segment, and adjusting a real-time response strategy and a disturbance classification processing mechanism of the spectrum configuration data; and adjusting the illumination power distribution values of the high-frequency use area and the low-frequency use area according to the occupation raster data generated by the millimeter-wave radar and the infrared array in combination with the lamp area mapping relation and the power budget constraint. Through multi-source data fusion and a self-adaptive regulation and control mechanism, unification of real-time performance, pertinence and energy-saving performance of spectrum regulation is realized, and the dynamic response capability and the user perception experience of the intelligent illumination system are improved.

The invention provides a lamp layout method and a lamp, and relates to the technical field of intelligent lighting. Personnel activity data are generated by acquiring real-time signal data acquired by a sensor in a target space and performing clustering analysis and behavior recognition. And generating target illumination and color temperature data of each region through biological rhythm correlation modeling and time sequence prediction based on personnel activity data and historical rule data. And performing multi-target weight dynamic optimization and improved genetic algorithm solution by adopting the generated data and personnel movement characteristics to obtain a lamp control strategy. And performing priority division and differential driving adjustment in combination with the real-time distribution of the personnel and the aging state of the lamp, and generating illumination feedback data. And iteratively executing adjustment based on the feedback data, the target illuminance, the color temperature data and the adjacent lamp collaborative error optimization control parameters. Illumination distribution is optimized by dynamically adapting to personnel activity rules, real-time illumination requirements can be accurately matched to reduce energy consumption and improve utilization efficiency, and scene adaptability can be considered.

The invention relates to the technical field of intelligent lighting control, and discloses an LED lighting energy-saving control system based on data judgment, which comprises a data sensing module, a scene recognition module, a strategy storage module and a driving control module, the data sensing module is used for collecting personnel dynamic behavior information and environment illumination intensity information in an illumination area; the scene recognition module outputs a corresponding scene recognition signal by receiving, fusing and analyzing the sensing data; a mapping relation table is stored in the strategy storage module; and the driving control module queries the mapping relation table through the scene identification signal to obtain the illumination control parameter of the target, and converts the illumination control parameter into an instruction signal for driving the LED lamp. According to the invention, through multi-dimensional data fusion and scene adaptive control, refined energy saving of the lighting system is realized on the premise of ensuring comfort.

The invention discloses a high-end space light illumination control system with scene adaptability, and relates to the technical field of intelligent light control, and the high-end space light illumination control system is characterized in that spatial structure geometric information and surface material distribution are acquired, and an illumination path simulation model is constructed; in combination with a preset illumination demand template, identifying a position with illumination deviation; performing illumination coverage simulation on each position point based on the lamp type and the light emitting angle, calculating an illumination coverage contribution value, and constructing a reference matrix; according to a matrix result, lamp model selection and angle adjustment are carried out, partition control operation is executed, and dynamic optimization adjustment of the brightness, the angle and the color temperature is achieved; closed-loop correction is completed through illumination feedback; according to the invention, the adaptive ability of illumination control to a complex space structure and a dynamic scene is improved, higher control precision and energy efficiency are achieved, and the method is suitable for intelligent illumination systems in scenes such as exhibition display, commercial retail and high-end residence.

The invention relates to the technical field of intelligent scheduling of energy-saving lamps, in particular to an intelligent lighting prediction and scheduling system based on big data, which comprises a lighting behavior extraction module, a lighting feature division module, a regional lighting partition module, a traffic illumination linkage module and a scheduling execution integration module. The method comprises the following steps: extracting an activation frequency and path approaching relation, constructing a state sequence and a rhythm index, dividing feature fragments to generate a distribution diagram, sorting combined fragments to generate a response queue, and adjusting an illumination sequence to generate a scheduling list. According to the method, a rhythm index is constructed by collecting an activation frequency and path approaching relationship, illumination fragments are divided based on a feature deviation degree, a region linkage sequence is sorted in combination with time coverage and space continuity, the priority of lagging fragments is adjusted, and scheduling entries containing traffic trigger intensity and response advance rate are output. The adaptive response of the lighting rhythm to the path change is realized, the coordination precision and the control consistency are improved, and the energy consumption and the sensing error are reduced.

The invention relates to the technical field of industrial lighting control, in particular to a dynamic optimization regulation and control method and system for an industrial intelligent lighting lamp based on multi-mode environment perception and computer equipment. An environment feature matrix and a lamp portrait matrix are constructed by deploying a sensor network integrating illumination intensity, thermal distribution and production process light demand labels and combining lamps embedded with unique two-dimensional code labels and digital portraits of the lamps. A 0-1 continuous value priority matrix is generated based on cooperation of a multi-layer perceptron and FLC, and a control threshold is dynamically adjusted in combination with QoS parameters of an edge gateway. Under the abnormal working condition, a two-dimensional code maintenance work order is triggered, an adjacent lamp is activated to compensate illumination, meanwhile, a safety redundancy coefficient is fed back through a compensation effect, a dynamic demand model is driven to be iteratively upgraded, and a self-evolution system of'perception-decision-regulation-optimization 'is formed. According to the scheme, the environmental adaptability, the energy efficiency utilization rate and the operation and maintenance intelligent level of the industrial lighting system are remarkably improved, and real-time response and low-carbon energy conservation are both considered.

The invention discloses a DALI (Digital Addressable Lighting Interface) data frame decoding method for Manchester encoding, which solves the problems of poor universality and high bit error rate caused by a fixed clock in the traditional method. The method comprises the following steps: receiving a DALI frame containing a start bit, a data bit and a stop bit; identifying a start bit, measuring the low level length of the start bit for multiple times, taking extreme values Tmax and Tmin, and checking the ratio (1lt; tmax / Tminlt, Tmax / Tminlt; 1 + n) and then T = (Tmax + Tmin) / 2 is calculated; setting two judgment intervals [T-nT, T + nT) and [2T-nT, 2T + nT) (0lt; nlt; 0.5) judging that the duration of the adjacent jump edge is T or 2T; counting edge overturning times in a 2T window from the middle moment of a data bit, keeping a logic value unchanged in two times, and performing negation in one time; and a stop position is detected through 4T in a non-jump manner. Through dynamic time sequence calibration and adaptive decoding, the decoding reliability in a complex environment is improved, the bit error rate is reduced, and the stability and universality of data transmission of the intelligent lighting system are enhanced.

The invention discloses an energy-saving amount calculation method based on a lighting system after building lighting energy-saving transformation, which relates to the technical field of intelligent lighting, and comprises the following steps: integrating preprocessed environment monitoring data and lighting quality image parameters by using a multi-modal data fusion mechanism, constructing an initial energy consumption reference value model to carry out regression analysis on comprehensive feature data, and calculating the energy-saving amount of the lighting system after building lighting energy-saving transformation; updating the initial energy consumption reference value model to generate a final energy consumption reference value model; and the remote energy consumption detection and diagnosis center carries out comparative analysis on the energy consumption reference value of the initial energy consumption reference value model and the energy consumption reference value of the final energy consumption reference value model, and outputs an energy saving amount calculation result in combination with a dynamic energy saving amount correction mechanism. According to the method, the preprocessed environment monitoring data and the illumination quality image parameters are integrated by using a multi-modal data fusion mechanism to generate the comprehensive feature data, and unified modeling of multiple factors influencing energy consumption is realized.

The invention discloses a building optical intelligent lighting and lighting optimization management system, and relates to the technical field of building energy saving and intelligent control, and the system comprises the following components: a data collection module, a data processing and storage module, an illumination demand prediction module, a control decision module and an equipment execution module. By integrating the data acquisition module, the data processing and storage module, the illumination demand prediction module, the control decision module and the equipment execution module, accurate prediction and optimal management of the indoor illumination demand of the building are realized, and the system constructs an illumination demand prediction model by using a machine learning algorithm. According to the model, multi-dimensional factors such as time, weather conditions, building energy consumption historical data and personnel behavior habit data are comprehensively considered, accurate prediction of indoor illumination requirements in different time periods and under different weather conditions is achieved, and based on the prediction result, the control decision module makes an optimal control strategy and adjusts lighting and lighting equipment.

The invention provides an intelligent illumination adaptive control method and system based on power line carrier and a storage medium, and the method comprises the steps: firstly building reliable connection with all illumination terminals and sensors through power line carrier communication, and then collecting the environment light intensity and human body state information through the sensors; secondly, judging whether a person exists in the lighting area or not according to the human body state, if not, triggering an energy-saving unmanned mode, and if yes, comparing the ambient light intensity with a target threshold value; if natural light is sufficient, illumination is maintained or turned down, if natural light is insufficient, human body motion features are extracted, the motion state is recognized through a preset model, brightness is increased for severe activities, duration is accumulated for a static state, and brightness or color temperature is adjusted in a self-adaptive mode according to a scene; and finally generating an instruction and issuing and executing through a power line. According to the invention, reliable communication and control are realized by power line carriers, serial threshold judgment and intelligent decision are carried out by fusing multi-dimensional environment information, and the intelligent level, the energy-saving effect and the user experience of a lighting system are improved.

The invention relates to the technical field of intelligent illumination control, and discloses an intelligent enhancement method and system for the brightness of an LED light-emitting module, and the method comprises the steps: collecting environment illumination data and LED module operation state data, and carrying out the preprocessing; acquiring cultural relic material information, performing exhibit change detection, determining an illumination constraint threshold, calculating effective illumination and tracking accumulated exposure; determining an illumination safety boundary and dynamically modulating an LED spectrum; performing hierarchical coordination by adopting a three-layer game decision framework; a three-dimensional light field representation framework is constructed through audience behavior perception and visual attention prediction, and space illumination optimization is carried out; environment sudden changes and audience behaviors are detected, and quick response adjustment is executed; analyzing lighting space-time distribution characteristics, performing dynamic power distribution and generating an intelligent dimming curve; according to the invention, environmental perception, cultural relic protection constraint, light attenuation compensation, multi-module cooperation and intelligent decision can be comprehensively considered.

The invention belongs to the technical field of unmanned aerial vehicles and intelligent lighting, and particularly relates to an unmanned aerial vehicle intelligent dimming and lighting system self-adaptive to ambient light, which comprises an unmanned aerial vehicle platform, a lighting module, an environment sensing module, a flight state sensing module and an intelligent control and decision module. The intelligent control and decision module fuses environment illumination and unmanned aerial vehicle flight data, and outputs optimal illumination parameters based on a deep reinforcement learning algorithm; and the illumination driving and regulating module accurately controls the brightness and color temperature of the LED light source array of the illumination module and the beam angle of the optical lens group. The environment illumination, the flight state and the task requirement are sensed in real time, and the output brightness, the color temperature and the beam angle of the LED light source array are intelligently adjusted based on the deep reinforcement learning algorithm, so that energy waste caused by fixed-intensity illumination is avoided.

The invention belongs to the technical field of tunnel lighting, and provides a tunnel intelligent lighting system based on self-luminous paint, which comprises an LED lamp fixed in a tunnel, the self-luminous paint, an environment monitoring module and a control terminal, the self-luminous paint is coated on the inner wall of the entrance of the tunnel, the environment monitoring module is fixed at the entrance of the tunnel, and the control terminal is connected with the LED lamp. And the control terminal is used for detecting the illumination intensity outside the tunnel, the meteorological data, the speed of the vehicle and the brightness of the self-luminous coating, is in communication connection with the environment detection module and the LED lamp, and adjusts the brightness of the LED lamp according to the meteorological data, the speed of the vehicle and the brightness of the self-luminous coating. The self-luminous coating and active LED lighting can be cooperatively controlled, the problems that a traditional system is poor in visual adaptation, high in energy consumption and low in reliability are solved, the LED light supplementing amount is dynamically adjusted according to environment illumination, meteorological conditions, the vehicle speed and the actual brightness of the coating, active and passive light source complementation and accurate dimming are achieved, and the black and white hole effect is effectively relieved.

The invention provides an urban lighting intelligent management and comprehensive evaluation method and system, and relates to the technical field of urban intelligent lighting and energy-saving control, and the method comprises the steps: collecting a basic lighting parameter set of a road of an urban lighting system, and calculating basic lighting calculation data; collecting calibration parameters of the lighting system after the lighting loop enters a stable working state; acquiring an illumination data set and an electric power parameter set of the illumination loop and outputting a real-time illumination data set; calculating an urban comprehensive lighting rate, an urban weighted average illumination value, a theoretical illumination power density coefficient, an actual illumination output coefficient and an illumination system comprehensive energy efficiency ratio, taking the urban comprehensive lighting rate as an urban lighting rate statistical result, and taking other calculation results as a multi-dimensional energy efficiency index system; and establishing a lighting rate-energy efficiency index correlation model, identifying abnormal and low-efficiency lighting scenes, and generating personalized urban lighting optimization suggestions, thereby realizing double accurate control of the lighting state and lighting energy efficiency of the urban lighting system.

The invention is suitable for the field of intelligent illumination control and energy-saving management, and provides an illumination state monitoring management method and system for energy-saving operation of a subway station, and the method comprises the steps: continuously collecting the electrical characteristics, optical performance parameters, equipment basic attributes and historical operation records of illumination nodes, and carrying out the fusion to form analysis basic data; identifying potential fault risk nodes based on the data; simulating a fault influence by using a digital twin model and comparing the fault influence with a safety standard; and starting preventive optical compensation or compensation-combined graded early warning according to a comparison result. The system correspondingly comprises a parameter acquisition module, a risk analysis module, an influence analysis module and an optical compensation and early warning module. According to the invention, fault advanced pre-judgment, accurate compensation and efficient operation and maintenance are realized, the energy-saving and safe operation requirements are balanced, and the intelligent management level of the illumination system is improved.

The application provides a kind of explosion-proof lamp control method, device, equipment and storage medium, it is related to intelligent lighting control technical field, method includes: obtaining the environmental information of target explosion-proof lamp in mine and the area type of the area to which target explosion-proof lamp belongs, mine includes multiple areas, and multiple explosion-proof lamps exist in each area;Determine the initial brightness of target explosion-proof lamp in combination with environmental information and area type;Acquire personnel behavior state in the illumination range of target explosion-proof lamp, adjust initial brightness according to personnel behavior state, obtain target brightness of target explosion-proof lamp;Obtain the brightness of explosion-proof lamp adjacent to target explosion-proof lamp, adjust target brightness according to the brightness of adjacent explosion-proof lamp, determine the final brightness of target explosion-proof lamp;The brightness of target explosion-proof lamp is adjusted to final brightness.The application has the technical effect that the brightness of explosion-proof lamp matches the illumination demand inside mine.

The invention discloses a distributed intelligent wireless control system for port lighting, which relates to the technical field of intelligent lighting and control and comprises a central management platform, a plurality of regional intelligent controllers and a plurality of lighting terminal nodes, according to the system, the terminal nodes are endowed with the capability of autonomously deciding and arbitrating based on local sensor data, a set of multi-source decision and instruction arbitration logic is operated by the built-in first processing unit of each lighting terminal node, so that the intelligent decision is physically close to an event occurrence point, the response delay is greatly shortened, and the efficiency is improved. And a collaborative algorithm module in the regional intelligent controller accurately predicts a path in a short time in the future based on real-time data reported by a moving object, calculates an illumination coverage range, dynamically determines a lamp set needing to be activated and turned off, generates a personalized control instruction for each lamp in the set, and controls the lamp to be activated and turned off. Therefore, smooth attenuation transition of illumination intensity in space is realized.

The invention relates to the technical field of intelligent illumination control, in particular to an illumination control system based on voice recognition and magnetic control, which comprises a voice trigger module, a magnetic disturbance path construction module, a behavior orientation recognition module, a voice and magnetic action joint recognition module and an illumination state control module. According to the invention, through frame segment division and sound wave feature extraction of the continuous audio stream, effective voice instructions can be accurately identified in a complex voice environment, and magnetic induction signals form a disturbance path map through magnetic flux direction mapping of a time sequence, so that careful tracking of space magnetic field changes is realized; according to the method, non-contact space operation has high direction sensitivity, the movement trend of a user in the space is effectively described aiming at angle change analysis of a magnetic flux disturbance path, the accuracy of behavior recognition is improved, the accuracy and safety of equipment operation are ensured on the premise that the space behavior intention of the user is met, and the user experience is improved. And the man-machine interaction efficiency and the use experience under multiple scenes are greatly improved.

The invention discloses an intelligent lighting control method and system based on the Internet of Things, and the method comprises the steps: deploying a lightweight edge computing node at an Internet of Things terminal, and carrying out the real-time collection to obtain preprocessing data; transmitting the preprocessed data to a cloud platform, analyzing a user historical behavior sequence based on an LSTM (Long Short-Term Memory) network, modeling a spatial dependency relationship between environment parameters and user behaviors through a GCN graph convolutional network, and constructing a hybrid model; dynamically adjusting parameters of the hybrid model through a dual time difference optimization algorithm in combination with a multi-target reward function to obtain a target hybrid model; and inputting the preprocessed data into a target hybrid model for training, outputting a control strategy, and transmitting the control strategy to an Internet of Things terminal for real-time control. On-demand lighting can be achieved, energy waste of public areas and unmanned areas is avoided, and the energy-saving effect is improved.

The invention relates to the technical field of property intelligent management, and provides a collaborative optimization intelligent lighting system dynamic energy scheduling method, which comprises the following steps: constructing an energy concentrator network of an intelligent lighting system, abstracting lighting equipment of a plurality of projects into an energy concentrator model, wherein each energy concentrator describes a conversion relation between electric energy and luminous flux through a coupling matrix; a multi-objective optimization function with maximization of the electric energy utilization rate as the core is established, the multi-objective optimization function integrates comfort, equipment and power grid constraints, and dynamic configuration is carried out based on operation parameters of the energy hub network; solving the multi-objective optimization function by adopting a two-stage optimization process, generating a reference operation plan and performing rolling correction; and issuing a dynamic dimming control signal to each lighting terminal through an energy concentrator network based on the optimized scheduling instruction obtained by solving so as to cooperatively schedule the electric energy of the intelligent lighting system. Therefore, the cross-region and multi-project intelligent lighting system is optimized in a collaborative manner, and the energy utilization rate is improved.

The invention discloses an intelligent frameless full-projection down lamp system based on an adjustable light emitting angle, and relates to the technical field of light adjustment of projection down lamps, the intelligent frameless full-projection down lamp system comprises a lamp shell, a reflection cup cover, a lamp panel assembly and spring buckles, the reflection cup cover is slidably connected in the lamp shell, the lamp panel assembly is arranged in a through hole in the inner side of the reflection cup cover, and the spring buckles are symmetrically installed on the back side of the lamp shell; the lamp panel assembly comprises an integrated LED lamp panel and a lantern ring arranged on the back side of the integrated LED lamp panel. The deflection column and the loop bar mechanism are innovatively combined and linked with the reflection cup cover, precise control over the projection direction and flexible adjustment of the light coverage range are achieved, the system is cooperatively controlled through multiple driving assemblies, multi-dimensional optical adjustment is achieved under the constraint of a frameless structure, and the system is suitable for large-scale popularization and application. And meanwhile, the heat dissipation problem in a compact space is solved through the integrated heat dissipation fin sleeve, and a brand new solution is provided for an intelligent illumination and projection system.

The invention relates to the technical field of intelligent lighting and voice interaction, in particular to a lamplight rhythm control system and method based on voice interaction, and the method comprises the steps: carrying out the analysis and feature extraction of a collected voice signal, and constructing a dynamic model which depicts the vortex core strength and position evolution of a sound field; an acoustic vortex sequence extracted based on the model is converted into an acoustic pattern sequence with space ductility through a pre-trained generative adversarial network. And carrying out space-time folding transformation on the pattern sequence to generate a high-dimensional acoustic instruction code so as to drive a lamplight array to present complex space rhythms associated with the dynamic depth of the voice. According to the method, the limitation of direct mapping of traditional audio visualization is broken through, intelligent generation and nonlinear mapping from a voice dynamic structure to light space art are realized, and the expressive force and immersion of acousto-optic interaction are improved.

The invention discloses an underground parking lot intelligent illumination control system based on multi-target real-time optimization, relates to the technical field of intelligent illumination control, and aims at the limitation of a traditional illumination scheme. Millisecond-level illumination response is realized through neighborhood negotiation and an event triggering mechanism; the edge optimization layer runs at the partition control nodes and is used for constructing a comprehensive optimization objective function, solving through a sub-module optimization algorithm and a convex approximation method and then outputting the optimal illumination intensity and power distribution parameters of each lamp node; and the global learning layer is used for realizing multi-target weight dynamic optimization and strategy lightweight based on the partition operation data of the edge optimization layer in combination with distributed reinforcement learning and federated learning technologies, and then issuing the multi-target weight dynamic optimization and strategy lightweight to each partition control node to support long-term adaptive optimization and stable operation of the lighting control system. The method is oriented to underground parking lots.

The invention provides an aging-suitable health lighting method and system, an intelligent lighting terminal and a storage medium, and the method comprises the steps: carrying out the rule matching of the motion features of a human body target in a monitoring space based on a predefined fall behavior discrimination rule, marking the human body target meeting the fall behavior discrimination rule as a candidate fall instance, and carrying out the recognition of the candidate fall instance. Generating a corresponding rule matching degree score; inputting the motion features corresponding to the candidate tumble instances into a pre-trained tumble identification classification model, and outputting a tumble confidence score; performing weighted decision fusion on the rule matching degree score and the fall confidence score to obtain a fall judgment comprehensive score; and dynamically selecting an aging-suitable illumination strategy from a preset strategy library for lamp illumination based on the fall judgment comprehensive score. According to the invention, a cooperative linkage mechanism between fall monitoring and illumination control is constructed, illumination intervention can be automatically triggered at the critical moment when the fall risk occurs, and safe and accurate illumination support is provided in time.

The invention relates to the technical field of visible light communication, and discloses an intelligent lamp data transmission system based on visible light communication. The system comprises an optical signal processing module, a transmission management module and a terminal control module. The optical signal processing module collects and processes the visible light signal and outputs a light intensity space coding signal; after the transmission management module receives the signal, the signal is decoded by the signal analysis unit to obtain an original data stream signal and a channel interference characteristic signal, the channel optimization unit processes the original data stream signal and the channel interference characteristic signal to obtain an optimal modulation parameter signal, and the transmission strategy unit outputs a dynamic bandwidth allocation signal; in the terminal control module, an adaptive modulation execution unit adjusts the driving parameters of the light emitter according to the optimal modulation parameter signal, a lamp array control unit adjusts the working state of a lamp light-emitting unit and collects a real-time link state signal, and a link monitoring module outputs a communication quality index. The system is suitable for an intelligent illumination and data transmission fusion scene.

The invention relates to the technical field of city intelligent management, and discloses a city fine management system and method based on artificial intelligence. The method comprises the steps that voltage fluctuation data, brightness adjustment records and energy consumption curves of urban global intelligent lighting equipment are collected, and a multi-dimensional monitoring data set is formed; extracting cooperative operation characteristics of the equipment group through space-time alignment processing, and dividing illumination control partitions through adaptive clustering; establishing a dynamic dimming model for each partition and generating a partition brightness reference value by combining a historical traffic flow and a pedestrian density thermodynamic diagram; detecting the deviation degree between the parameter and the reference value, and triggering an adaptive compensation mechanism to generate a dimming instruction set when the deviation degree exceeds a dynamic threshold value; constructing a fault propagation map based on equipment topology, positioning a fault source and marking associated equipment to form a maintenance decision tree; and integrating the dimming instruction set and the maintenance decision tree to generate a control instruction queue, and distributing the control instruction queue to an edge computing node for execution according to a preset priority.

The invention relates to the technical field of intelligent control network application programming, and discloses an application programming method based on an ArtNet module, which is applied to an intelligent control network. The method comprises the steps that an ArtNet module storage medium is partitioned, firmware is received and verification information is stored, the validity of the firmware is judged, the firmware is transmitted to a main controller according to a preset upgrading protocol, the main controller distributes updates, and the ArtNet module clears temporarily stored data. According to the application, the intelligent control network master controller is an internal communication bus master device, the function nodes maintain the original access logic, only an ArtNet module is newly added as a slave device to access the internal bus, an independent communication link is established through a universal interface and the master controller, the Ethernet and the external control bus are externally connected, original hardware and an IAP protocol do not need to be changed, and the communication efficiency is improved. Equipment transformation and code rewriting cost caused by module expansion are avoided; based on the programming process, original IAP logic is not interfered, repeated burning caused by data residue is avoided, and the method is suitable for firmware upgrading of intelligent control networks such as moving head lamps, stage lighting and intelligent lighting.