1344 results about "Intelligent lighting" patented technology

The embodiment of the invention provides an intelligent illumination automatic adjustment method and device based on illumination intensity and personnel detection, and reliability evaluation and abnormity correction are carried out on data by synchronously collecting environment illumination intensity and personnel activity data. An illumination activity association model is innovatively constructed, and feature fusion is realized by using a fuzzy logic algorithm. The system establishes a complete evaluation index system including illumination uniformity, a color rendering index and a glare value, and performs constraint optimization based on an illumination scene adaptation model. Through introducing a dynamic compensation mechanism of a personnel detection probability value and a time period priority factor, accurate illumination adjustment control is realized. The method breaks through the limitation of dimming in a traditional fixed mode, and provides a comprehensive technical solution for an intelligent lighting system.

The invention discloses an intelligent illumination control system and method based on a multi-modal sensor, and particularly relates to the field of data analysis, and the system comprises a multi-modal data collection module, a feature calculation module, a space-time coupling analysis module, a multi-modal verification module, a biological rhythm compensation module and an intelligent decision control module. According to the invention, through cooperative acquisition of the multi-modal sensor and space-time coupling modeling, accurate environment perception is realized, and the photo-thermal interaction effect is quantified to eliminate control deviation; an innovative biological rhythm compensation mechanism is fused with the ultraviolet dose and the human body activity data, and a dynamic safety protection boundary is established; and an LSTM-Transform hybrid architecture is combined with a rolling time domain optimization strategy, so that 200ms-level quick response and complex scene self-adaptive control are realized, and the dynamic performance and the security of the system are remarkably improved.

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 discloses an environment adaptability illumination control system applied to a travel landscape, and relates to the technical field of intelligent illumination control. The system comprises a lighting point data acquisition module, a region division module, a use condition monitoring module, a tourist distribution monitoring module, a data analysis and prediction module, an intelligent control module, a user feedback collection module and an adaptive adjustment module. The lighting point data acquisition module is used for acquiring position and state information of all lighting points in a scenic area; identifying all lighting equipment in the scenic spot; by integrating advanced data acquisition, region division, use condition monitoring, tourist distribution monitoring and data analysis and prediction modules, the intelligent level of the lighting system is remarkably improved, the system can automatically perform real-time adjustment according to environmental changes and tourist behavior modes, optimal configuration and accurate control of lighting are realized, and the intelligent level of the lighting system is improved. Therefore, the lighting effect is highly matched with the actual demand of the tourism landscape.

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 relates to the technical field of intelligent lighting, and discloses a light emitting diode intelligent dimming system based on multispectral control, which comprises a multi-sensor data acquisition module, a data fusion processing unit, a user behavior prediction module, a dynamic spectrum adjustment module and the like. Environmental data are collected in real time through multiple sensors, user behaviors are predicted in combination with a machine learning algorithm, and personalized adjustment and dynamic response of illumination are achieved. The system can accurately adjust the color temperature, brightness and spectral distribution of the light source according to the changes of ambient light, temperature and humidity, human body activities and the like, and provides a more efficient and energy-saving illumination scheme. Meanwhile, through cooperative work of the Internet of Things technology and intelligent equipment, the comfort level of the whole environment is optimized. Particularly, the intelligent feedback and learning module of the system continuously optimizes the control strategy according to the use feedback of the user, the user experience and the adaptability of the system are further improved, and a comfortable and intelligent lighting environment is provided for the user.

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 relates to the technical field of intelligent control, and discloses a light control method and system, a controller and a storage medium, and the method comprises the steps: collecting ambient light, human traffic and user preference data through multi-sensor fusion; after normalization processing, inputting a reinforcement learning model to dynamically calculate target brightness and color temperature, and generating a control instruction to adjust a lamp; and optimizing model parameters in combination with user feedback. The system integrates a data acquisition module, an intelligent processing module, a regulation and control execution module and a feedback optimization module to form a closed-loop control chain. The controller supports PWM dimming and a DMX512 protocol, an emergency module is arranged in the controller, and illumination is maintained according to a historical mean value when communication is interrupted. Through high-precision environment perception calibration, a multi-target dynamic dimming strategy, an intelligent closed-loop learning mechanism and a distributed fault-tolerant control system, the long-standing core problems of light sensation drift, strategy adaptation stiffness, strong cold start dependence, poor cluster stability and the like in the field of intelligent illumination are systematically solved.

The invention relates to an intelligent lighting control system with environmental perception, and aims to enhance the visual expressive force of artworks and improve the interactive experience of audiences by accurately controlling the lighting condition in an exhibition hall. The system comprises a system environment data acquisition unit, an intelligent control unit, a self-adaptive illumination execution unit and an interactive illumination adjustment unit. The environmental data acquisition unit is used for comprehensively monitoring environmental conditions in the exhibition hall. The intelligent control unit generates an optimized lighting strategy according to the collected data and artwork protection and display requirements. The self-adaptive illumination execution unit comprises a plurality of LED lamp sources capable of being independently adjusted, and light intensity, color temperature and light beam angles are adjusted according to the strategy of the control unit. And the interactive illumination adjusting unit is used for further optimizing the illumination setting. According to the system, the modern sensing technology and intelligent control are comprehensively utilized, an innovative solution is provided for art museums and museums, human cultural heritage is protected and displayed through science and technology, and meanwhile the sense of participation and educational value of the public are enhanced.

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 discloses a context awareness voice control lighting relieving method and system, and relates to the technical field of intelligent lighting control, and the method comprises the steps: obtaining a user voice instruction and environment data; performing semantic analysis on the user voice instruction, and extracting a control intention and a parameter requirement from the user voice instruction; determining target lighting parameters according to the control intention, the parameter requirements and the environment data; obtaining a current lighting state, and calculating a transition path from the current lighting state to the target lighting parameters; the transition path comprises a gradual change sequence of illumination parameters; and controlling the lighting equipment to perform lighting adjustment according to the transition path. According to the method, through technologies of multi-dimensional environment data fusion, deep semantic analysis, smooth transition control and the like, precise matching of the illumination parameters and user requirements is realized, and the user comfort and the system intelligence level are greatly improved.

The invention discloses an intelligent lighting street lamp system and a control method thereof, and the method comprises the steps: obtaining an LED drive current and a dual-energy output parameter, and generating a PWM drive characteristic through frequency decomposition; performing pre-dimming compensation on the LED based on the human eye brightness sensitivity to obtain a luminous flux control feature and an energy prediction feature; obtaining LED junction temperature change data and carrying out thermal characteristic analysis to obtain LED driving compensation characteristics; dividing an illumination control time window and dynamically adjusting an LED driving current waveform to obtain a time sequence driving characteristic; and fluctuation analysis is carried out according to the real-time luminous flux data, and linkage adjustment is carried out on PWM driving characteristics, luminous flux control characteristics, LED driving compensation characteristics and time sequence driving characteristics. According to the invention, the rapid and accurate adjustment of the LED driving current can be realized, the influence of the dual-energy output fluctuation on the illumination quality is effectively inhibited, and the accurate matching problem of the energy supply and the illumination demand in a key time window is solved.

The invention discloses a lighting system energy consumption management method combined with user behavior analysis, and relates to the technical field of energy consumption management. The method comprises the following steps: obtaining a user behavior data set; mining is carried out, a plurality of user behavior modes are determined, data acquisition is carried out on the intelligent lighting equipment group, and a plurality of lighting modes are obtained; constructing a behavior-illumination mapping network; obtaining an illumination prediction scheme, simulating execution of the illumination prediction scheme to carry out energy consumption calculation, and generating illumination energy consumption simulation parameters; and feedback debugging is performed on the illumination prediction scheme according to the illumination energy consumption simulation parameters in combination with a behavior-illumination mapping network, an illumination optimization suggestion is generated, and intelligent energy consumption management is performed on the illumination system in the target illumination area. The technical problem that in the prior art, an illumination strategy cannot be adjusted in real time according to user behaviors, and consequently energy consumption is high is solved, intelligent management of the energy consumption of the illumination system is achieved by combining user behavior analysis, and the technical effects of improving the energy utilization efficiency and reducing the energy consumption cost are achieved.

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 relates to the technical field of intelligent lamp strips, solves the problem that the light of a fantasy color lamp cannot be finely controlled and managed in the prior art, and provides an intelligent control method and system for an LED fantasy color lamp. The method comprises the following steps: according to a preset contextual model and an initial lamp strip parameter, determining a target lamp strip parameter corresponding to the contextual model; according to the target lamp strip parameters, the lamp strip modules are cut or spliced, the processed lamp strip modules are divided into a plurality of lamp strip sets, and each lamp strip set can be controlled to be lightened by a control unit; and receiving a color control signal and a brightness control signal corresponding to each lamp strip set, and according to the color control signal and the brightness control signal, lightening each lamp strip set through the control unit and presenting the corresponding brightness and color. According to the invention, the problem that refined control and management of light of the fantasy colored lamp cannot be realized in the prior art is solved, and more flexible and more intelligent light control experience is provided.

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 provides an intelligent lighting control method and system, a program product and a storage medium, and relates to the technical field of lighting control. By periodically sending a clock calibration request and recording a plurality of time points, the network delay of each lighting controller can be accurately calculated. And when the network delay exceeds a threshold value, the system groups the controllers according to the physical distance, and selects the controller with the minimum delay as an intra-group clock source to realize intra-group accurate calibration. Meanwhile, the load of each controller can be balanced by calculating the load state index and dynamically adjusting the control range. The layered clock synchronization mechanism is combined with a load balancing strategy, so that the time sequence difference between the controllers is reduced, the response delay during cross-regional scene switching is reduced, and the problem of asynchronous illumination is solved.

The invention relates to the technical field of intelligent lighting, and discloses a high-luminous-efficiency LED lamp module lighting system which comprises a high-luminous-efficiency LED lamp module used for emitting a light source with preset brightness and color temperature. The constant illumination sensor is used for detecting ambient light in real time and automatically adjusting the brightness of the LED lamp module through a negative feedback algorithm; the existence induction sensor is used for detecting the existence of personnel and triggering the lighting state of the LED lamp module; and the dimming and color adjusting module is electrically connected with the high-luminous-efficiency LED lamp module and is used for adjusting the brightness and the color temperature of the light source according to the output signal of the constant illumination sensor. The purpose of saving energy is achieved through intelligent dimming, constant illumination and existence induction technologies, and energy consumption is remarkably reduced; high-quality lighting which is free of stroboflash, low in glare, healthy and capable of protecting eyes is provided, and the comfort level of a user is improved; the wireless ad hoc network technology is adopted, installation and maintenance are easy and convenient, high expansibility and stability are achieved, and remote management and upgrading are supported.

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 MCU mode control circuit and method, and relates to the technical field of intelligent lighting control, a target lighting area is divided into a plurality of sub-areas through a segmentation module, and each sub-area is provided with an independent MCU, an independent sensor and an independent lighting device. And the detection module comprises a first mode, a second mode and a third mode which are respectively used for predicting that a user enters the sub-regions, detecting the activities of the user in the sub-regions in real time and judging the requirements of merging or splitting the multiple sub-regions. The control module executes preloading, real-time adjustment and region merging / splitting operations of lighting parameters based on information generated by each mode. According to the application, user activities and environment changes are sensed cooperatively through multiple sensors, cooperative control among the sub-regions is realized in combination with a distributed decision algorithm, and the flexibility, energy efficiency and user experience of the system are improved. Through the method, a personalized, energy-saving and efficient illumination solution can be provided.

The invention relates to the technical field of coal conveying trestle lighting, in particular to an intelligent lighting system and a control method thereof. Comprising the steps that a plurality of equipment points are set according to equipment parameters of the coal conveying trestle, and each equipment point is provided with an illumination sub-module; setting a lighting strategy according to the working parameters of the coal conveying trestle, and obtaining the operating parameters of each lighting sub-module according to a preset time node; generating a fault risk value of each lighting sub-module, and judging whether a maintenance instruction is generated or not according to all the fault risk values; a plurality of equipment points are established based on equipment parameters of the coal conveying trestle, a first-level illumination plan is set according to a correlation model among all the equipment points, and each illumination sub-module is controlled to perform alternate illumination during unmanned inspection, so that the energy consumption of the illumination system is reduced on the premise of ensuring the monitoring efficiency, and the overall operation and maintenance cost is reduced; and when a person inspects, the working parameters of the corresponding lighting sub-module are adjusted according to the expected movement track, so that the inspection safety of the person is ensured.

The invention relates to the field of intelligent illumination, and provides a self-study room healthy illumination method based on illumination parameter dynamic adjustment, and the method comprises the steps: obtaining reservation information and human body induction information in a self-study room; according to the reservation duration information and the attention concentration time range, generating a self-study time planning table; acquiring learning behavior information of the learner within a preset time before the end of the self-study time period; obtaining an attention level according to the learning behavior information and the human body induction information; determining an illumination parameter change rate according to the attention level and a difference value between the light environment regulation and control parameter and the rest illumination parameter; and in the rest time period, according to the illumination parameter change rate, the light source is controlled to be switched from the light environment regulation and control parameter to the preset rest illumination parameter. According to the invention, the problem that a healthy and comfortable illumination light environment cannot be provided for a learner due to the fact that the light of the study room cannot be dynamically switched to a proper illumination mode is solved.

The invention relates to the technical field of LED light sources, in particular to an automatic color temperature adjusting method of an LED light source in different scenes, which comprises the following steps: S1, user situation detection: detecting user positions and behavior characteristics in a shared space in real time to form a situation data set; s2, multi-user situation identification: realizing regional identification of the multi-user situation; s3, environmental adaptability fine tuning: performing small-amplitude adjustment on the color temperature through an environmental adaptability fine tuning algorithm; s4, color temperature area distribution: dividing the shared space into a plurality of color temperature areas, and setting a corresponding color temperature value for each area; and S5, generating a color temperature regulation and control instruction: generating a regulation and control instruction for controlling each color temperature area. According to the invention, it is ensured that color temperature adjustment not only conforms to personal preference, but also can automatically adapt to environmental changes, so that visual comfort and space adaptability are effectively improved, and an intelligent lighting system is more intelligent and personalized.

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 multi-path street lamp data acquisition and analysis method based on a centralized controller, relates to the field of intelligent measurement, and realizes intelligent monitoring and fault detection of running states of street lamps through group control, centralized data acquisition and dynamic analysis of the street lamps. According to the method, grouping is carried out based on a distribution network connection relation of street lamps, switching operation of each street lamp group is controlled through a centralized controller, and operation data such as current, voltage and load are collected. And for the street lamp which operates abnormally, through multiple times of data acquisition and trend analysis, an accurate fault detection result is generated. The invention further provides a method for dynamically adjusting the grouping strategy and the delay time, and the accuracy and the detection efficiency of data acquisition are improved. According to the invention, comprehensive monitoring of the operation state of the street lamp in a complex environment can be realized under the condition that the hardware cost is limited, and the method is especially suitable for management and maintenance of an urban intelligent lighting system.