846 results about "Intelligent lighting" patented technology

The invention discloses a green building intelligent lighting and energy collaborative optimization system based on multi-source data fusion. According to the system, firstly, multi-source information such as indoor and outdoor illumination, weather, personnel occupation and electricity price is subjected to weighted fusion through dynamic confidence, and an accurate real-time environment state is constructed; then, model predictive control is combined with a multi-objective optimization strategy, and a sunshade device, intelligent lighting and a heating ventilation air conditioner are cooperatively adjusted, so that the comprehensive energy consumption or operation cost is minimized on the premise that the indoor illumination and temperature comfort requirements are met; besides, the self-adaptive module continuously learns and adjusts the thermal characteristics and the use mode of the building through online model parameter correction and occupancy probability prediction, and it is ensured that the energy-saving effect is stable for a long time; the system drives each execution device through a standard building self-control interface, is easy to integrate in a newly built or reformed project, and can significantly improve the energy utilization efficiency and the indoor environment quality.

The invention belongs to the technical field of intelligent lighting, and discloses an intelligent adjustment method and system for the spectrum of a quantum dot light-emitting lamp. The objective of the invention is to solve the problem that an existing lighting system cannot meet personalized healthy lighting requirements. The method comprises the following steps: firstly, acquiring user biological rhythm, environment spectrum, use scene, user preference and physiological health data through multi-dimensional data acquisition, and constructing a feature data set; then human factor optical feature extraction and cross-situation demand analysis are carried out, and a spectral response model is established; carrying out quantum dot material photoelectric characteristic mapping and spectrum synthesis modeling based on the model, and determining a luminescence parameter space; constructing a spectrum optimization model, performing multi-objective optimization by comprehensively considering visual comfort, energy efficiency and health influence, and generating a dynamic spectrum regulation and control strategy; closed-loop verification and adaptive optimization are carried out based on real-time physiological feedback, and an intelligent spectrum adjustment scheme is formed. According to the invention, the advantage of spectrum adjustability of the quantum dot material is fully exerted, and real personalized intelligent illumination is realized.

The invention provides a highway tunnel intelligent illumination control method and system, and the method comprises the steps: collecting a real-time perception data set of a plurality of monitoring nodes in a target tunnel, covering a light source operation parameter, an illumination intensity parameter and an environment state parameter sequence, carrying out the feature extraction of the real-time perception data set, and carrying out the feature extraction of the real-time perception data set; generating a global feature set including light source operation stability, regional illumination coordination and environmental coupling influence features, and then inputting the global feature set into a preset dynamic decision model for strategy decision to obtain a multi-stage illumination regulation and control strategy set covering different regions, including target brightness, dimming time sequence and equipment cooperation parameters; and finally, generating an executable instruction set according to the multi-stage illumination regulation strategy set, issuing the executable instruction set to each partition illumination control terminal, and triggering adaptive dimming of the illumination equipment, thereby realizing intelligent management and control of tunnel illumination, improving an energy-saving effect and illumination quality, and ensuring driving safety.

The invention discloses an intelligent lighting management system and method based on multi-source data, and relates to the technical field of intelligent lighting management, and the system comprises a multi-source data collection module, an environment feature anchoring module, a dynamic error modeling and calibration module, an edge-cloud collaborative decision module and a lighting strategy execution module. The multi-source data acquisition module fuses environment sensor, visual perception and laser radar data to construct a'sensor original data + environment characteristic data 'dual-input system; the environment feature anchoring module extracts stable features from the visual / laser radar data to serve as a calibration reference; the dynamic error modeling and calibration module quantifies the error in real time based on the reference and generates calibration parameters; the edge-cloud collaborative decision-making module and cloud long-term optimization form a hierarchical collaborative architecture through edge node real-time control; and the lighting strategy execution module dynamically adjusts lighting parameters according to the calibration data and feeds back an effect to form a closed loop.

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 the field of intelligent illumination, in particular to a brightness AI adaptive adjustment method and system for an illumination system, and the method comprises the steps: obtaining the light environment parameters of an illumination region in real time; determining an interference parameter of the reflection light source to the target area based on the spatial distribution characteristics and the intensity of the reflection light source, and generating a compensation trigger signal when the interference parameter exceeds a preset interference threshold value; in response to the compensation trigger signal, acquiring environment data of the illumination area; calculating a reflection interference compensation amount according to the environment data, wherein the environment data comprises a mobile object reflection characteristic, a high reflection object position and an environment light fluctuation trend; generating an illumination adjustment strategy according to the reflection interference compensation amount, wherein the strategy comprises a cooperative control parameter for the target area illumination unit; and dynamically adjusting the brightness output of the target area illumination unit based on the illumination adjustment strategy. And the reflection interference compensation amount is dynamically calculated, so that a targeted illumination adjustment strategy is generated, and cooperative control of the illumination unit is realized.

The invention relates to the technical field of underground pipe gallery distributed intelligent control, and discloses an underground pipe gallery intelligent illumination and energy consumption optimization system, which comprises a dynamic credibility evaluation module for analyzing multi-modal environment sensing data in real time and generating a dynamic credibility score; the edge-cloud collaborative optimization module is used for realizing distributed collaborative learning through local model fine tuning and global knowledge distillation; and the event-driven resource allocation module dynamically optimizes a lighting strategy and a communication priority based on credibility scores and emergency information, and through multi-modal data cross validation and adaptive weight adjustment, the robustness of anomaly detection is significantly improved, and misjudgment caused by sensor failure or environmental interference is effectively suppressed; the dynamic planning algorithm is used for synchronously optimizing energy consumption and equipment service life, efficient balance of safety and energy efficiency is achieved, the system is particularly suitable for complex underground environments and can automatically adapt to sudden anomalies, and the intelligent level and the energy utilization efficiency of pipe gallery illumination are remarkably improved.

The invention discloses a lamp strip module atmosphere creating method based on scene induction control, and relates to the technical field of intelligent illumination control, and the method comprises the following steps: S1, collecting an original audio signal of a target space, extracting amplitude fluctuation, a spectrum structure and energy mutation features, recording the starting time and duration of a sound event, and constructing a sound source time sequence; according to the invention, through sound source time sequence modeling, abnormal behavior identification and environment trend analysis, in combination with a multi-dimensional consistency judgment mechanism, accurate response to an abnormal sound source is realized, safe transition is carried out through neutral color temperature lighting effect, and then light effect smooth regression is realized through dynamic recovery evaluation and a slow changing algorithm, so that the accuracy of the abnormal sound source is improved. An intelligent light control system with real-time perception, context understanding and closed-loop regulation and control capabilities is constructed, immersion experience and safety are improved, and the intelligent light control system has remarkable practical value and technical innovation.

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.

The invention relates to the technical field of intelligent illumination, and discloses an intelligent illumination explosion-proof single lamp controller optimization scheduling method and system, and the method comprises the steps: firstly obtaining the deployment position of a controller, determining a target illumination region, collecting ambient light data to construct an illumination distribution diagram, and recognizing a distribution control link; monitoring real-time energy consumption of a link, analyzing load characteristics and calculating an optimal dimming coefficient; acquiring a signal response frequency band based on the dimming coefficient, fitting to generate a dimming response curve, identifying a defect response section and calculating a harmonic distortion rate; illumination compensation is carried out according to the harmonic distortion rate, scheduling grouping is carried out after a compensation threshold value is determined, high-load nodes are identified, and power is corrected; and finally, acquiring the temperature change gradient of the lamp according to the load correction parameter, generating a regulation and control instruction, and formulating an optimal scheduling strategy. According to the invention, the scheduling optimization of the explosion-proof single lamp can be improved.

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 provides a load balancing method for intelligent lighting collaborative management and related equipment, and the method comprises the steps: collecting the environment parameters of each lighting region in real time, and carrying out the preprocessing of the environment parameters; inputting the preprocessed environment parameters into a preset deep neural network model, and determining a load prediction sequence of each illumination area; judging the load state of each lighting area according to the load prediction sequence; based on the load state and the real-time environment data, generating a multi-region collaborative dimming rate set through a region layering collaborative strategy; and performing illumination control on the illumination equipment in the target illumination area according to the multi-area cooperative dimming rate set. Through the implementation of the scheme of the invention, intelligent dimming control under cross-region, dynamic perception and prediction driving is realized, and the dynamic adaptive capacity and the load control precision of the illumination system are improved.

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 a light color shift control method and system, and the method comprises the following steps: S1, receiving target color data and shift parameters through a user interaction interface; s2, acquiring an environment color temperature Tamb by using an environment light sensor, and monitoring an LED module junction temperature Tled through a PT1000 type temperature sensor; s3, calculating a color compensation parameter based on the offset parameter in the step S1 and the sensor data in the step S2; and S4, generating a PWM driving signal through an improved HSV-RGB bidirectional conversion model. By receiving the target color data and the offset parameters and collecting the environmental color temperature and the LED module junction temperature data, basic input and real-time state information are provided for color compensation calculation, so that the system can dynamically adjust the color parameters in combination with user requirements and environmental equipment states, and the pertinence and environmental adaptability of color control are improved.

The invention relates to the technical field of intelligent illumination control, in particular to a remote cluster intelligent management method for a plant light supplement lamp group, which comprises the following steps of: acquiring illumination and lamp state data and processing to generate a monitoring graph layer, analyzing an illumination and power relation to identify abnormity, extracting features to screen proper lamps and marking positions; and tracking an illumination change path, and outputting an illumination behavior linkage response instruction set. According to the method, accurate screening of illumination abnormal intervals and power deviation lamps is achieved by recognizing the relation between illumination states and lamp operation characteristics, illumination space distribution is matched and optimized in combination with plant requirements, an offset path and a key area section are extracted by superimposing a time change track, the illumination dynamic evolution process is effectively tracked, and the accuracy of the illumination dynamic evolution process is improved. The light turning behavior is identified by fusing the time cooperation characteristics of the power and the efficiency, the illumination linkage response is realized, the timeliness and the space adaptability of the control are improved, the precise light supplement requirement of the plant is met, the resource utilization rate is improved, and the energy consumption redundancy of a non-target area is reduced.

The invention relates to the technical field of intelligent lighting control, in particular to a multi-user sharing-oriented self-adaptive lighting intelligent identification control method, which comprises the following steps of: identifying user identities through a multi-user feature identification system, acquiring historical use habit data, generating personalized lighting parameters based on the data and current environment data, the group preference learning system constructs similar user clusters to optimize shared space illumination; the conflict adjustment system identifies and processes multi-user demand conflicts; the priority distribution system dynamically adjusts user control authority; the feedback learning system obtains user feedback, calculates satisfaction, updates a preference model and continuously optimizes an illumination control strategy; intelligent lighting control based on user features and group preferences is achieved, conflict processing and continuous learning capabilities are achieved, rapid and accurate recognition of users is achieved through a face recognition technology, lighting parameters are automatically adjusted in combination with historical use habit data, and personalized lighting experience is provided; dynamic changes of user demands are captured, and the accuracy of illumination scene recommendation is improved.

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 relates to the technical field of intelligent lighting control, in particular to an LED lamp energy-saving control method and system, and the method comprises the steps: obtaining environment data and user data; constructing a scene knowledge graph, and pre-storing illumination parameters of different scenes; performing standardization processing on the environment data and the user data, and obtaining a state vector in combination with the scene knowledge graph; inputting the state vector into a three-dimensional comfort level model to calculate a comprehensive comfort level score; if the comprehensive comfort level score is lower than a target threshold value, an illumination adjustment strategy is output through a dual-network illumination adjustment agent, the LED lamp is adjusted according to the illumination adjustment strategy, and the illumination adjustment strategy comprises light intensity adjustment, color temperature adjustment and light beam angle adjustment; and if the comprehensive comfort level score is higher than a target threshold value, lightweight light intensity gradient optimization is carried out, and the light intensity of the LED lamp is dynamically adjusted according to the position of the person. Therefore, the problems of insufficient environmental adaptability, lack of comfort consideration and the like in the prior art are solved.

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 control, and discloses an intelligent lighting management control system and method based on the Internet of Things. Comprising an illumination data capturing module, a personnel activity monitoring module, an illumination equipment parameter module, an illumination environment recording module, a scene mode presetting module, a multi-dimensional data preprocessing module, a multi-dimensional data analysis module, an auxiliary management module, an illumination management module, an illumination control module and a user interaction module which cooperate with one another, the illumination data capturing module and the personnel activity monitoring module sense environment and personnel dynamic information in real time, the multi-dimensional data preprocessing module and the multi-dimensional data analysis module deeply process and analyze the information, and the illumination management module and the illumination control module accurately control illumination equipment according to an analysis result. Finally, the intelligent, energy-saving and scene-based control of the lighting system is realized, the energy utilization efficiency is improved, and the diversified lighting requirements of users are met.

The invention discloses an intelligent lighting control system based on the Internet of Things and AI prediction, and relates to the technical field of intelligent lighting, and the system comprises a data collection module which is connected with an ambient light sensor, a motion sensor and an electric quantity sensor through an intelligent lamp, collects the state data of intelligent lighting in real time, and sends the state data to a server; by integrating the ambient light sensor, the motion sensor and the electric quantity sensor, the system can sense environment changes and user behaviors in real time, self-adaptive adjustment of lamplight is achieved, user operation is simplified, a user does not need to frequently and manually adjust lamplight, the indoor illumination brightness can be automatically adjusted according to the ambient light intensity, and the user experience is improved. Meanwhile, through application of the AI prediction module, through deep analysis of user behavior modes and environment data, the illumination requirements of the user in different scenes can be accurately predicted, the lamplight state is adjusted in advance, and the user experience is further improved.

The invention belongs to the technical field of intelligent control, and discloses a scene self-adaptive intelligent lighting dimming and color modulation control method and system, and the method comprises the steps: S1, carrying out the data collection operation, and obtaining the multi-mode data, such as CSI physiological features, ambient light, user interaction, and the like; s2, feature extraction operation: extracting features of a user cognitive state, ambient light and a user behavior intention; s3, performing model reasoning operation, inputting the features into the fusion model, and reasoning a scene state vector; s4, performing parameter generation operation, and dynamically generating illumination control parameters according to the scene state vector; and S5, in order to execute the control operation, sending parameters, so that the illumination equipment adaptively adjusts the brightness and the color temperature. According to the method, accurate understanding of deep states such as fatigue and concentration of the user is realized through non-intrusive multi-mode perception, non-sensitive and personalized light environment adjustment is provided while the privacy of the user is protected, and the user experience, the working efficiency and the visual health are remarkably improved.

The invention relates to the technical field of light control, and discloses an intelligent lighting control method, device and equipment based on gesture mapping and a medium, and the method comprises the steps: detecting a gesture dragging operation of a user on a light control panel of an intelligent terminal for light equipment, and generating a continuous coordinate track; converting the coordinate track into an optical parameter based on a nonlinear mapping model, and executing a multi-mode feedback operation on the light control panel according to the optical parameter; and generating a corresponding control instruction sequence by using the optical parameters, and sending the control instruction sequence to the corresponding light equipment, so that the light equipment executes dynamic switching operation of the light effect based on the control instruction sequence. According to the invention, the problems of single interaction dimension, low multi-device control efficiency, lack of operation feedback and non-traceable state of the existing intelligent illumination system are solved.

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 provides an intelligent self-adaptive lighting system based on environmental perception and behavior recognition, relates to the technical field of self-adaptive lighting control, and aims to determine an illumination perception rule during adaptive adjustment of the brightness of a lighting source in a target area according to a lighting adjacent path and dynamic atmosphere information, perform layered compensation on the illumination perception rule, and improve the brightness of the lighting source in the target area. Obtaining an adaptive compensation strategy when the illumination angle of the illumination light source is adjusted; according to the posture activity index and the behavior response index, determining a state partition constraint when the illumination light source in the target area carries out illumination partition decision making along with the user motion trail, and determining a light color rheological characteristic when the illumination light source carries out color temperature switching according to the state partition constraint; and carrying out self-correction matching on the illumination demand mode in the illumination environment of the target area according to the adaptive compensation strategy and the light color rheological characteristics. According to the invention, linkage self-correction control can be carried out on the illumination mechanism of the illumination light source, so that the real-time response capability of the intelligent illumination system under the driving of complex space behaviors is improved.

The invention discloses a camera linkage illumination control method and system based on wireless networking, and relates to the technical field of intelligent illumination, an exhibition area is divided into a plurality of illumination areas, a camera wireless communication network is constructed, continuous frame images of all the illumination areas are obtained in real time, and the illumination information of all the illumination areas is obtained; the method comprises the following steps: acquiring a human body target pixel point total number Nbody and an edge disturbance amplitude Rd through further calculation, constructing a crowd disturbance response index Dpop so as to evaluate a crowd active situation of an illumination area, and collecting illumination Lbase and color temperature Tbase of the illumination area when the illumination area is evaluated as a third active level area so as to calculate and acquire target illumination Ltarget and target color temperature Tcolor, according to the lighting control system, the lighting area is subjected to slow change control, and the lighting control effect is evaluated after lighting control, so that the lighting control system has obvious real-time performance, intelligence, comfort and maintainability, and the service life of equipment is effectively prolonged.

The invention discloses an urban intelligent lighting wireless monitoring method and system, and relates to the technical field of intelligent lighting. The method comprises the following steps: acquiring data of lighting equipment and a multi-dimensional sensor, setting the lighting equipment as nodes, setting a dynamic coupling coefficient between the nodes as an edge weight, and constructing a lighting topology model; performing quantum state feature mapping on the multi-dimensional sensor data, constructing a topological manifold tensor, calculating a topological invariant through manifold decomposition, and generating an abnormal alarm when the topological invariant is greater than a set threshold value; and when an abnormal alarm is detected, obtaining all adjacent lighting devices of an abnormal node, constructing a target function, solving to obtain power and lighting brightness of the adjacent lighting devices, and performing adjustment. Through combination of quantum state feature mapping, topological flow decomposition and dynamic coupling coefficients, multi-dimensional sensor data are precisely processed, high-precision monitoring, energy management optimization and dynamic dimming are realized, and meanwhile, stable operation of the system is ensured through global optimization and an intelligent repair mechanism.

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 dynamic self-adaption cabin lighting method, device and equipment and a storage medium, and relates to the technical field of automobile control, and the method comprises the steps that automobile interior and exterior environment information and passenger information are obtained, the automobile interior and exterior environment information comprises automobile exterior light intensity and automobile interior environment light intensity, and the passenger information is obtained; the passenger information comprises the number of passengers, seat positions, position coordinates, head attitude angles and activity types; according to the vehicle interior and exterior environment information and the passenger information, a target lighting mode is determined, and the target lighting mode comprises a focusing mode, an atmosphere mode and a tracking mode; based on the target illumination mode, the position, the light beam direction angle and optical parameters of the lamp are determined, and the optical parameters comprise the brightness and the focusing radius; and according to the position of the lamp, the direction angle of the light beam and the optical parameters, the lamp is controlled to execute the illumination action, so that intelligent illumination control in the cabin is realized, and better lamplight experience is provided for the cabin.