520 results about "Intelligent lighting" patented technology

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 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 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 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 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.

The invention discloses a lighting system for industrial robot navigation, a control unit and a method, and relates to the field of intelligent robots. The problems that a traditional robot is single in illumination, insufficient in environment perception and low in data interaction and processing efficiency are solved. The system comprises an intelligent lighting module, an ambient light detection module, a positioning module, a data processing module, a navigation control module and a central control module. According to the system, through linkage of multi-thread data processing, dynamic path planning and an intelligent lighting strategy, closed-loop control of ambient light perception-navigation planning-lighting adjustment is realized; through cooperation of multiple modules, deep fusion of intelligent illumination and precise navigation is realized, and the environmental adaptability and operation reliability of the robot in a complex environment are remarkably improved.

The invention relates to the technical field of intelligent lighting, in particular to an intelligent scene lighting precise optimization method and system based on deep learning, and the method comprises the steps: building a scene lighting database which covers the basic parameters, scene features, design schemes, and user experience feedback and energy consumption data after operation of a lighting system; evaluating a lighting demand load based on user activity and ambient light parameters; constructing an illumination optimization simulation space, and carrying out dynamic operation simulation on the design scheme; and loading a required load, setting dynamic simulation acceleration time, simulating a full-scene period in stages, and obtaining a precise optimization scheme through a simulation result. According to the scheme, through multi-dimensional data fusion and deep learning, precise evaluation and dynamic adaptation of illumination requirements are realized; through virtual simulation acceleration verification, design defects are exposed in advance, parameters are optimized, and the actual deployment cost is reduced; and based on a data-driven adaptive optimization mechanism, the energy efficiency improvement of the full life cycle of the lighting system and the dynamic adjustment and optimization of the user experience are supported.

A method for implementing emotion navigation by using an intelligent human centric lighting system for implementing emotion navigation includes the following steps. Step 1 is to confirm an initial emotion of a user. Step 2 is to set a target emotion. Step 3 is to select a relay emotion to set an emotion navigation path. Step 4 is to edit a multispectral recipe corresponding to the relay emotion and the target emotion according to the multispectral recipe. Step 5 is to perform a lighting program of the multispectral recipe of the relay emotion and the target emotion. If the determination is not reaching the target emotion of Step 6, then go to obtain the user's personal physiological data to find out the multispectral recipe of the corresponding emotion that can adjust to the target emotion.

The invention relates to the technical field of intelligent illumination control, and discloses a self-adaptive illumination intensity adjusting method and system based on environmental perception. The self-adaptive illumination intensity adjusting method is applied to illumination adjusting equipment and specifically comprises the following steps that S101, multi-dimensional environment parameters of a target area are obtained in real time, and the environment parameters at least comprise environment illumination intensity, human body activity characteristics and time information; s102, performing fusion processing on the environmental parameters through a dynamic analysis module, and generating an illumination adjustment strategy matched with the current scene; and S103, generating a pulse width modulation signal according to the illumination adjustment strategy, and driving a light source module to output illumination intensity meeting a preset comfort threshold. According to the multi-dimensional environment perception fusion mechanism, multi-modal data such as illumination intensity, human body movement tracks, time rhythms and sound pressure characteristics are subjected to joint analysis, the traditional single perception mode which only depends on an illumination sensor is broken through, and more accurate environment understanding is realized.

The invention discloses an LED lamp group control method and system based on the Internet of Things, and belongs to the field of intelligent illumination control and Internet of Things application. The system comprises a centralized management platform module, a state monitoring and control module, an intelligent linkage module and a communication network module. The centralized management platform module is used for lighting strategy configuration, operation state monitoring and data analysis display; the state monitoring and control module collects lamp operation parameters and executes a control instruction; the intelligent linkage module automatically triggers a preset lighting scene according to the environment sensing data and the system signal; the communication network module constructs a stable data transmission channel and connects all parts of the system. Through modular design and an intelligent linkage mechanism, accuracy and adaptivity of illumination control are achieved, and the management efficiency of the system is improved in combination with data analysis. The system has the characteristics of flexible deployment, high expansibility and intelligent operation and maintenance, and is suitable for large-scale illumination control scenes such as smart cities, commercial complexes and industrial factory buildings.

The invention provides an intelligent lighting and energy consumption management system of a rail transit vehicle. The intelligent lighting and energy consumption management system comprises a vehicle working condition-space environment fusion sensing module; a passenger flow space-time distribution accurate analysis module; an illumination load-whole vehicle energy consumption coupling calculation module; an energy storage-network voltage cooperative load regulation module; a hierarchical dynamic illumination driving module; and an energy consumption closed-loop feedback and strategy self-optimization module. The design limitation of a traditional lighting system is broken through, lighting load precise adaptation, power supply source optimal distribution, energy consumption collaborative optimization and system strategy self-iteration are achieved, lighting experience, driving safety, power supply stability and whole vehicle energy consumption rationality are considered, and all-working-condition and all-scene operation requirements can be met without manual intervention.

The invention relates to the technical field of intelligent lighting, in particular to an intelligent lighting control method and system based on 5G communication, and the method comprises the steps: determining a real-time core view region through obtaining the three-dimensional position coordinate and the view direction vector of an inspector and combining a thermal power plant environment three-dimensional model; selecting a main lighting device according to the real-time core view area and calculating an expected shadow area; selecting auxiliary lighting equipment according to the geometrical characteristics of the expected shadow area, and determining a main lighting brightness value and an auxiliary lighting brightness value in the real-time core view area according to the depth characteristics of the expected shadow area; sending a first brightness adjustment instruction and a second brightness adjustment instruction through a 5G communication network; and generating comprehensive illuminance distribution in the real-time core view area according to the first brightness adjustment instruction and the second brightness adjustment instruction. The lighting equipment can be quickly and accurately adjusted, and safety accidents caused by visual blind areas of inspection personnel are avoided.

The invention provides a railway tunnel lighting control system and method based on double-link communication, and belongs to the technical field of tunnel lighting control, and the system comprises a central manager, a data concentration manager, a scene controller and an intelligent lighting node. The central manager is used for issuing a dimming instruction and storing feedback node state data; the data concentration manager is used for executing active inspection, fault diagnosis, instruction priority arbitration and link adaptive switching tasks, the data concentration manager and the scene controller perform double-link communication through a first double-link, and meanwhile, the data concentration manager and the scene controller perform double-link communication through a second double-link, so that double-link combined communication of tunnel lighting control is realized. Meanwhile, the centralized data manager actively initiates state query to the intelligent lighting nodes in the jurisdiction range according to a first preset period, node state data is obtained, and active inspection of the intelligent lighting nodes is achieved. According to the invention, the communication fault probability is reduced, and the real-time performance and reliability of railway tunnel illumination control are improved.

The invention discloses an LED scene adaptive intelligent control system based on Internet of Things multi-sensor fusion, and relates to the technical field of electric illumination light source systems. According to the LED scene adaptive intelligent control system based on Internet of Things multi-sensor fusion, tasks are received in real time for business grading and space partitioning, and the tasks are automatically shunted into different queues according to priorities and space regions; by integrating load operation state indexes, the load state is dynamically judged according to the indexes, and elastic scheduling and resource allocation are automatically driven. And finally, the scheduling sorting and issuing execution module performs comprehensive priority sorting according to grading and partitioning, intelligently allocates resources, and sets a fault-tolerant mode, thereby realizing service continuity of intelligent lighting, and effectively solving the problems that a system in the prior art is difficult to adapt to variable loads, high-concurrency tasks and sudden abnormal scenes, and is insufficient in overall elasticity and service continuity.

The invention provides a lamp cluster regulation and control method, an intelligent lighting system and electronic equipment. The method comprises the following steps: acquiring light demand information input by a user; performing cross-modal semantic understanding and fusion on the light demand information based on a generative artificial intelligence model, and generating a scene description vector including scene semantics, emotional tendency, rhythm and spatial distribution characteristics; under a preset hard constraint condition, based on a differentiable spectrum compiling layer configured in a light compiler, carrying out joint coding on the scene description vector, a pre-constructed light field graph and a corresponding equipment capability vector, and carrying out optimization solution to generate a light regulation and control instruction sequence including spectrum, phase and time sequence parameters; and performing light regulation and control on the target lamp cluster based on the light regulation and control instruction sequence. According to the method, key performance dimensions such as group coordination consistency, color rendition precision, visual continuity and system response speed are remarkably improved, and effective enhancement is realized in the aspect of health and safety protection.

The utility model relates to a kind of vegetable hydroponic device with LED intelligent lighting system, relate to a kind of indoor planting vegetable hydroponic device, to solve the problem that light source in existing vegetable hydroponic device is difficult to realize dynamic spectrum regulation and poor light supplement stability.The growth box, seedling box and nutrient solution tank of the new type are sequentially arranged from top to bottom;Seedling box is used to cultivate seedling;Growth box is used to hold transplanted seedling;Nutrient solution tank is used to store nutrient solution;Illumination sensor is used to obtain the illumination of seedling, preset illumination threshold in main control unit, illumination sensing signal is compared with illumination threshold, and illumination instruction is generated according to comparison result;The illumination instruction output end of main control unit is connected with the illumination instruction input end of three-dimensional light supplement LED light source;Three-dimensional light supplement LED light source emits light according to illumination instruction, and irradiates growth box.Affirmative effect is to improve the light energy utilization rate when high crown layer vegetable is planted and improve the stability of light supplement.

The application discloses an explosion-proof intelligent lighting remote monitoring method and system based on an Internet of Things, and relates to the technical field of lighting monitoring.The method comprises the following steps: obtaining real-time sensor information through dynamic monitoring of a sensor network; activating an edge controller to analyze the real-time sensor information and obtaining real-time lighting decisions; transmitting the real-time lighting decisions and the real-time sensor information to a remote monitoring center through a ZigBee wireless radio frequency device, and analyzing the real-time lighting decisions and the real-time sensor information by the remote monitoring center to obtain a predicted heat index; if the predicted heat index reaches a predetermined limit value, a remote heat dissipation instruction is sent, and the explosion-proof intelligent lighting equipment is subjected to remote heat dissipation based on the remote heat dissipation instruction.The technical problems of untimely monitoring of the running state of the explosion-proof lighting equipment and slow response of heat dissipation control in the prior art are solved, the remote monitoring of the explosion-proof intelligent lighting equipment is realized through the Internet of Things technology, and the technical effects of improving the heat dissipation response speed and ensuring stable operation of the equipment are achieved.

The invention discloses an intelligent construction method for multi-lamp cooperative angle adjustment of intelligent illumination engineering, and the method comprises the steps: 1, constructing a three-dimensional point cloud model of a construction region, extracting the coordinate data of an obstacle, and generating a light distribution map; 2, constructing an on-site three-dimensional model by adopting three-dimensional modeling software; 3, determining the installation coordinates of each lamp through simulation calculation by using illumination simulation software according to the constructed on-site three-dimensional model, and 4, dividing a construction area into different illumination intensity areas according to a light distribution map, setting different lamp inclination angles in different areas, and determining the installation coordinates of each lamp according to the different lamp inclination angles. 5, sending a cooperative angle adjustment instruction to the target partition lamp through the light control system, and 6, starting a self-learning control algorithm based on the data accumulated in the step 5; the beneficial effects of the invention are that through the self-learning control algorithm, the self-adaptive adjustment of the illumination system is realized, and the intelligent level and user experience of the illumination system are improved.