21573results about "Electrical apparatus" patented technology

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 a light control method and system based on AI model analysis, and the method comprises the steps: obtaining environment illumination data of a target scene and user interaction input, and carrying out the semantic demand analysis, and obtaining semantic description information; performing illumination demand analysis on the semantic description information through a pre-trained light driving model to obtain illumination demand parameters; performing light field demand analysis on the illumination demand parameters according to the environment illumination data and the user interaction input, and generating light field control information; and acquiring power load data, performing instruction construction on the light field control information, and generating a light control instruction. According to the invention, dynamic self-adaptive regulation and control of the light environment can be realized, and the limitation that the existing method only depends on static compensation and cannot adapt to complex scene changes is overcome.

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 smart lighting, in particular to a smart lighting decision optimization method based on big data, which comprises the following steps of: firstly, acquiring data of a lighting area in real time, performing spatial-temporal feature extraction on the data, the method comprises the steps of generating a region illumination demand feature vector based on a real-time feature vector, then generating a dynamic illumination optimization strategy based on a reinforcement learning model in combination with a historical illumination strategy library and the real-time feature vector, and finally adjusting brightness parameters and spectral distribution of each intelligent lamp in a region according to the dynamic illumination optimization strategy. According to the method, the data of the illumination area is collected in real time, the optimization strategy is dynamically generated in combination with the reinforcement learning model, illumination requirements of different time periods and different areas can be accurately matched, and therefore the problem that in the prior art, real-time optimization of the illumination strategy in the dynamic environment is insufficient is effectively solved.

The invention provides a scene adaptive projection vehicle lamp system based on deep reinforcement learning and a control method, and relates to the technical field of intelligent vehicle lamps and automatic driving perception systems. Comprising a multi-modal sensing module, a feature fusion module, a strategy generation module and an execution module. The multi-mode sensing module is used for collecting environment state data and performing primary processing to form an environment data information flow; the feature fusion module is used for generating a unified environment feature vector for the environment data information flow; the strategy generation module is used for receiving the environment feature vector and generating a vehicle lamp adjustment strategy through multi-layer neural network calculation; evaluating a result obtained by executing the vehicle lamp adjustment strategy based on the vehicle lamp, and optimizing strategy parameters of the strategy network based on a PPO algorithm; the execution module is used for controlling the vehicle lamp according to the vehicle lamp adjustment strategy output by the strategy network. The intelligent level of the vehicle lamp is remarkably improved, and the system is widely applied to night driving assistance, urban interaction prompt and low-visibility driving scenes.

The invention provides an intelligent control method for a floodlight illumination system, and the method comprises the steps: obtaining an environment surface roughness coefficient, spectral reflection distribution and spatial geometric change data, determining the wall surface material absorptivity and shielding region coordinates, and obtaining environment reflection characteristics and shielding distribution data; analyzing shielding boundary sharpness and shielding angle distribution according to the spatial geometric change and the coordinates of the shielding area, calculating a luminous flux distribution curve of a local dark area, and judging whether the influence range of the dark area exceeds a preset threshold range or not; calculating the illumination coverage integrity according to the updated light field distribution and polarization reflection characteristics, determining the boundary sharpness of a light beam, and obtaining a light field uniformity parameter; and according to the light field uniformity parameter and the shielding thermal radiation effect, calculating and optimizing light field parameters.

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 light source adjustment, in particular to an automatic light source adjustment method and system based on real-time environment change. The method comprises the following steps: collecting environment illumination monitoring parameters of an automatic light source, and carrying out real-time light path tracking and dynamic light environment perception modeling to construct a real-time light environment perception map; obtaining an automatic light source historical operation report, carrying out light source parameter preference mining, and carrying out adaptive light source adjustment according to a real-time light environment perception map so as to construct an initial light source regulation and control strategy; performing light source control execution according to the initial light source regulation and control strategy, performing space light source disturbance detection, and generating disturbance light source multi-dimensional features; and performing light source change situation evolution analysis on the multi-dimensional characteristics of the disturbed light source, performing intelligent light disturbance reverse compensation, and constructing an intelligent anti-interference light source regulation and control strategy. According to the invention, real-time light source compensation adjustment is carried out according to environment light source changes, and accurate and rapid user light source demand response is realized.

The invention discloses an LED street lamp multi-scene intelligent regulation and control method and system for road illumination. The method comprises the steps that environment sensing parameters and equipment state parameters are collected; constructing a dynamic light scattering model according to the environment perception parameters and the equipment state parameters, predicting effective illumination distribution from the LED light source to the road surface in the current environment, and generating an LED spectrum compensation strategy; the real value of effective illumination distribution from the LED light source to the road surface is monitored in real time, the deviation between the real value and a predicted value is analyzed, and if the deviation exceeds a preset threshold value, the light attenuation coefficient, the road surface equivalent reflectivity and the LED working temperature are calculated in a reverse iteration mode according to the deviation so as to update the LED spectrum compensation strategy; and generating a PWM (Pulse Width Modulation) driving signal according to the updated LED spectrum compensation strategy, controlling the duty ratio of each sub light source in the LED array, and dynamically adjusting the LED spectrum distribution. According to the method, the LED operation parameters are dynamically regulated and controlled through the deviation between the true value and the predicted value of the effective illumination distribution, the light attenuation is compensated in real time, the spectral efficiency is optimized, and the LED power consumption is reduced on the premise of ensuring the illumination quality.

The invention relates to the technical field of LED dimming control, in particular to an LED ceiling lamp control system based on dynamic light source adjustment, which comprises a brightness sensing module, a dimming decision module, a light source regulation and control module, an anomaly detection module and a brightness optimization module. According to the invention, the operation load of the lamp is dynamically measured and calculated by combining ambient light and thermal radiation data, the collaborative perception of illumination intensity and thermal energy distribution is realized, the response sensitivity to weak brightness change is improved by comparing the brightness demand with the real-time output deviation and accurately identifying the dimming trigger condition, and the response sensitivity to weak brightness change is improved by comparing the initial brightness with the feedback difference value. The brightness of a plurality of lamps can be adjusted coordinately, the spatial light environment is kept stable and consistent, overload and temperature rise abnormity can be checked and abnormal lamps can be identified by combining current fluctuation and temperature abrupt change analysis, an intervention record and reaction duration comparison mechanism is introduced into a regulation and control instruction, the response efficiency is improved, and the efficiency is improved. And brightness priority adjustment and overall illumination balance control of the key area are realized.

The invention discloses a lighting data management system and method for street lamp networking, relates to the field of lighting data management, and aims to solve the problem of waste of lighting resources. The technical scheme is characterized in that all street lamp nodes are networked according to physical positions, and a geographic information database is constructed; collecting motion data of a moving target and environment illumination intensity data; when the moving target is detected to be a pedestrian or a vehicle, switching the current street lamp node and the adjacent street lamp node to a normal mode; predicting the trajectory of the moving target, and calculating the number of street lamps needing to be turned on in advance according to the moving target speed and the safety response time; when the moving target approaches the intersection, the street lamp nodes of the intersection branches are converted from an energy-saving mode to a normal mode; and when the moving target leaves the detection range of the sensor, the street lamp nodes of the branch paths which are not actually passed are recovered to the energy-saving mode, so that on-demand illumination is achieved, and the effect of reducing the energy consumption of the street lamp is achieved.

The invention is suitable for the technical field of LED backlight driving, and provides a starting control circuit for LED backlight driving, a chip and a display device. The starting control circuit of the LED backlight drive comprises a detection selection module, an error amplification module, a first change-over switch module, a control module, a second change-over switch module, a logic drive module, a feedback module and a first switch module. When each first voltage is in a preset range, the first change-over switch module is used for conducting the first input end of the error amplification module and the output end of the error amplification module. And the second change-over switch module is used for transmitting the overcurrent protection signal to the logic driving module. When the detection voltage is larger than the first reference voltage, the first change-over switch module is used for conducting the first input end of the error amplifier and the detection selection module. And the second change-over switch module is used for conducting the control module and the logic driving module. Therefore, the Boost has more response time to respond to the rapid change of the LED.

The invention relates to a tunnel illumination control method considering visual adaptability of a driver, and belongs to the technical field of tunnel illumination control, and the method comprises the following steps: S1, employing a volume scattering point location method to obtain visual adaptability parameters of visual adaptation states of all segments in a tunnel; s2, dynamically constructing a predictive visual adaptation model of the driver group based on the visual adaptation parameters, and outputting expected visual states of the drivers according to the predictive visual adaptation model; s3, according to the expected visual state, a parameter control mechanism is adopted to control target illumination parameters of all the sections of the tunnel; s4, according to the target lighting parameters, the working state of lighting equipment in a corresponding section in the tunnel is regulated and controlled, so that the light environment in the tunnel is matched with the dynamic visual adaptability of a driver, and safe visual guidance is achieved; the method has the beneficial effects that the target illumination parameters of all the sections of the tunnel are controlled by adopting a parameter control mechanism according to the expected visual state according to the target illumination parameters.

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 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 a multichannel intelligent control method and system for UV LED light, and the method comprises the following steps: carrying out the spectrum scanning of a light irradiation region of a UV LED light source array, and obtaining a spectrum intensity distribution diagram; based on the spectral intensity distribution diagram, light wavelength segmentation division is carried out on a UV LED light source array, and a plurality of wavelength subintervals are obtained; performing dynamic power adjustment on the UV LED light source array according to the plurality of wavelength subintervals to obtain an optimal power configuration scheme; according to the optimal power configuration scheme, performing synchronous control on each channel of the UV LED light source array to obtain a control signal sequence of multi-channel cooperative work; and on the basis of the control signal sequence, real-time output of the UV LED light source array is adjusted, stable multi-channel UV LED light output is obtained, and the technical problems that due to the fact that spectrum output of the UV LED light source array has non-uniformity and temperature sensitivity, light intensity distribution is not uniform and wavelength drifts possibly occur under different working conditions are solved.

The invention provides a multi-scene-oriented intelligent light adaptive control method and system, and the method comprises the steps: recognizing the current behavior state of a user based on visual sensor data, predicting the behavior state of the user, and outputting a light control behavior tag; combining the behavior label with a scene type and ambient light intensity to generate a target illumination intention vector; according to the target illumination intention vector, in combination with an illumination control conflict situation, real-time lamp parameters and user space state data, calculating an illumination weight of each lamp to a user, distributing brightness and color temperature parameters, and in combination with the target dimming process duration, generating a lamp control parameter set; and converting the lamp control parameter set into a dimming instruction sequence, performing time synchronization and delay compensation, and issuing the dimming instruction sequence to each lamp for execution. According to the method, accurate mapping from behavior intention to physical illumination is realized, and the method has extremely high universality, deployability and engineering controllability.

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 field of intelligent control, and particularly discloses a shadowless lamp control method based on behavior recognition and prediction, which comprises the following steps: S1, establishing a three-dimensional rectangular coordinate system by taking an initial mounting position of a shadowless lamp as an original point, and determining coordinates as follows by adopting image data acquired by at least two groups of directional image acquisition equipment with different visual angles; s2, capturing the real-time position of the scalpel in real time through an image acquisition device, outputting coordinates, acquiring data of a plurality of continuous durations to form a historical trajectory data set, calling an operation scene template library preset with a plurality of types of typical operation trajectory features by the control terminal for the acquisition times, matching a trajectory feature template corresponding to the current operation type, and outputting the historical trajectory data set; performing feature alignment processing on the data and the input data by a fusion module to obtain adaptive trajectory data; according to the technical scheme, pre-judgment can be carried out in advance, the scene adaptability is high, and sterile fine adjustment is facilitated.

The invention discloses a tunnel entrance dynamic light and signal control system based on a visual algorithm, relates to the technical field of intelligent manufacturing control, and is used for solving the problem of poor light control when the visual field of a tunnel entrance suddenly changes. According to the method, a dynamic sensing mechanism based on visual feature understanding and multi-strategy linkage is constructed, continuous monitoring and intelligent control over the driving visual adaptation state of the tunnel portal are achieved, multi-dimensional visual features are extracted through image collection and preprocessing, visual risk scores are generated, visual field sudden change and traffic abnormity are recognized in combination with a sliding window, and the driving visual adaptation state of the tunnel portal is obtained. A risk response instruction is output, illumination adjustment and signal linkage control are driven, then vehicle behavior continuity, parking probability and blind area shielding factors are fused, speed limiting, guiding or warning signals are dynamically issued, and visual model fine adjustment and strategy updating are performed based on execution feedback. And finally, illumination and signal adaptive optimization under cross-time and multi-environment conditions is realized in combination with a control scene library, and the traffic safety and control intelligence level are improved.

The invention discloses an intelligent situation awareness vehicle-mounted atmosphere lamp control method and system and electronic equipment. The method comprises the following steps: step 1, scene state modeling of multi-source data fusion; step 2, coupling control of the dynamic spectrum and environmental parameters; step 3, generating an emotion-driven light sequence; step 4, dynamically adjusting the noise-coordinated lamplight; step 5, storing and calling personalized parameters; and step 6, optimizing a control strategy of feedback driving. Through multi-source data fusion modeling and comprehensive analysis of the driving scene, the user state and the environmental parameters, the state recognition accuracy is improved, misjudgment is avoided, dynamic spectrum and environmental parameter coupling, emotion driving and noise collaborative light adjustment are achieved, diversified requirements are met, a personalized atmosphere is created, fatigue is relieved, and safety is improved. User parameters can be stored and called, personalized services are enhanced, and more comfortable and convenient driving experience is brought.

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 provides a multi-source information fusion automobile light personalized interaction control system and method, and relates to the technical field of automobile intelligent light control. The system comprises a multi-source sensing module, a data preprocessing module, a data analysis processing module and a vehicle lamp driving module. The multi-source sensing module collects multi-source heterogeneous data, after the multi-source heterogeneous data is processed by the data preprocessing module, fusion analysis and intelligent decision are carried out by the data analysis processing module, a control instruction is generated, and finally, the instruction is executed by the vehicle lamp driving module and a state is fed back. According to the invention, the defects of the existing automobile light control technology in the aspects of intelligence, situational and individuation are overcome, the efficient, intelligent and individualized control of the automobile light is realized, and the driving safety, comfort and entertainment are improved.

The invention relates to an office intelligent control method and device based on multi-source data fusion and electronic equipment. The method comprises the steps that station use state data, environment illumination intensity data, personnel movement data and current lamp state data are acquired; based on the station use state data, the station use state is judged, and a corresponding illumination control strategy is generated; according to the illumination control strategy, the lamp brightness of the corresponding station is controlled; controlling to turn off the lamp in response to judging that no person is at the target station; calculating and outputting a target brightness value based on the environment illumination intensity data in response to the judgment that the current station is provided with the person; in the presence of a person, receiving a manual adjustment instruction sent by a user for the target brightness value, and performing adaptive optimization on the brightness calculation logic of the target brightness value; and in response to the lamp failure, controlling to lighten the lamps near the failed lamp and generating maintenance alarm information. According to the invention, the problems of high misjudgment rate, single control strategy, waste of energy consumption and poor user experience are solved.

The invention relates to the field of intelligent table lamps, and discloses an LED personalized eye protection lighting method based on AI learning, and the method comprises the steps: fusing the myopia degree manually input by a user, real-time ambient light intensity and desktop reflection characteristics, and generating an eye load adaptation matrix; performing cross-domain convolution recursion modeling on the eye load adaptation matrix, and constructing a user personalized visual tolerance tensor; based on the visual tolerance tensor, utilizing an adaptive threshold drift model to extract an illumination comfort trajectory, and identifying potential visual fatigue risk candidate points; mapping the potential asthenopia risk candidate points to an LED dimmable unit cluster, and performing iterative coupling optimization on brightness gradient, color temperature offset and an illumination incident angle to obtain light field adjustment solutions facing different myopia degrees; generating a non-uniform distributed control instruction among the brightness, the color temperature and the refresh frequency based on the light field adjustment solution; the method has the advantage of intelligently adjusting the light brightness and the color temperature by combining the myopia degree of the user and the ambient brightness.

A light emitting device includes a planar array of individually addressable first light sources configured to emit visible light into a plurality of angular bins toward an environment, one or more second light sources configured to emit ultraviolet light, an imager positioned to receive light reflected from the environment, a processor configured to analyze one or more images captured from the imager and identify a shadow region in the environment, wherein one or more light sources of the plurality of individually addressable first light sources is directed to increase a light flux output in one or more angular bins of the plurality of angular bins corresponding to the shadow region. The one or more second light sources and may be individually addressable and positioned in a planar array on a substrate.

The invention discloses a lamplight simulation test control system for landscape lighting, relates to the technical field of lamplight control, and is used for solving the problem of poor optimization of intelligent lamplight control. Structured time series data are constructed through holiday and festival identification functions, weather states, sunshine information and people flow density, nonlinear mapping is performed after unified sampling and sliding window alignment, and a tensor type input data set is generated; state recursion and context adjustment are carried out by combining a gating circulation unit with a space situation embedding vector, and illumination, color temperature and control level prediction sequences at multiple moments in the future are output; and constructing a control fragment path according to an illumination change trend and a color temperature sign function, collecting current illumination, flow density and an equipment response state to generate deviation information, executing a feedforward and feedback fusion strategy, outputting a control instruction set including the illumination, the color temperature, a lamp on-off state and a mode label, and realizing adaptive and dynamic light control.

A light emitting device includes a plurality of individually addressable light sources spatially separated on a substrate and configured to emit light into an environment, and one or more optical elements positioned to receive the light from each light source and redirect the light into a plurality of different angular bins. Each bin of the angular bins has light from at least one light source of the plurality of individually addressable light sources and a first group of the plurality of different angular bins has a first angular width in theta or phi coordinates less than 10 degrees. The first angular width may be less than 5 degrees.

A portable device includes a plurality of individually addressable light sources configured to emit light into a plurality of angular bins toward an environment, an imager positioned to receive light reflected from the environment, and a processor configured to analyze one or more images captured from the imager and identify a spatial region corresponding to eyes of an individual in the environment, wherein one or more light sources of the plurality of individually addressable light sources is directed to not emit light or reduce a light flux output in one or more angular bins of the plurality of angular bins corresponding to the spatial region. The portable device may be a phone.

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.