1277 results about "Color temperature" patented technology

The invention discloses a high-precision image processing method and system based on illumination adaptive compensation, and relates to the technical field of computer vision and image processing, and the method comprises the steps: inputting an original image, and dividing the image into a high-frequency edge layer, an intermediate-frequency texture layer and a low-frequency illumination layer through a multi-scale residual network; acquiring illumination intensity, color temperature and scene categories in real time by using an ambient light sensor and a scene semantic segmentation model, and generating dynamic compensation parameters; carrying out dynamic range expansion on a low-frequency illumination layer based on a physical illumination model, and adjusting the weight of highlight suppression and dark area enhancement through a self-adaptive S-shaped exposure curve; a double-branch generative adversarial network is adopted, noise suppression and super-resolution reconstruction are carried out on the high-frequency layer, and texture detail enhancement is carried out on the intermediate-frequency layer; aligning the data of the depth camera and the infrared sensor with the visible light image through a cross-modal fusion module; and performing tone mapping on the fused image based on human visual characteristics, and outputting an enhanced image with a high dynamic range and reserved details.

The invention discloses a BIM-based process simulation and consultation service support system and method, and relates to the technical field of three-dimensional modeling and visualization. The system comprises a BIM holographic data acquisition module, a process logic intelligent deconstruction module, a dynamic process simulation engine module, a physical field real-time monitoring module, an expert knowledge decision module and a visual scheme generation module. And multi-dimensional deviation early warning thresholds are set for different construction stages, the accuracy of conflict detection of various processes is ensured, meanwhile, environment illumination parameters collected by a sensor are linked with a BIM rendering engine in real time, the problem of light and shadow distortion in a digital twinning scene can be dynamically corrected, material texture misjudgment caused by illumination color temperature deviation is avoided, and the working efficiency of the digital twinning scene is improved. The accuracy of process conflict early warning is improved, and the construction safety risk and the resource scheduling error are reduced.

The invention relates to the technical field of display, and particularly discloses an intelligent self-adaptive eye protection display system which sequentially comprises a content analysis module, an ambient light detection module, an eye protection parameter calculation module, a display parameter adjustment module and a user feedback module. The system identifies the screen content type and the dynamic degree in real time, synchronously detects the ambient light intensity and the color temperature, obtains the optimal combination of the blue light proportion, the brightness, the contrast ratio, the color temperature and the sharpness through a multi-target optimization model, and smoothly adjusts the display through driving; a user can score, finely adjust and mark a scene, and feedback data enters a self-learning engine to iteratively update a parameter weight so as to form a content-environment-user closed loop. The system can significantly reduce blue light harm and improve visual comfort without external hardware.

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 the technical field of camera control, and discloses a megapixel camera control method based on multifunctional fusion. The method comprises the following steps: acquiring original image data of an image sensor, and preprocessing to generate an initial brightness distribution diagram; and calculating a scene dynamic range to determine a target exposure parameter set containing exposure time, a gain coefficient and an aperture value, synchronously analyzing color temperature information, matching a preset white balance model to output a correction coefficient, and combining the two to generate a first control instruction to be sent to the image sensor. Receiving a touch screen focusing signal, and extracting a focus area coordinate to adjust a stroke parameter of a focusing motor; ambient light intensity is monitored in real time, and when the ambient light intensity is lower than a preset threshold, a flash lamp compensation module is activated and a compensation light quantity value is calculated. In the photographing mode, the output power of the flash lamp is adjusted according to the compensation light quantity value, the target exposure parameter set is recalibrated based on the focus area coordinates, and the camera complex scene adaptation and imaging quality are improved.

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.

The invention discloses an underwater image enhancement method based on an improved MobileNetV4 (MobileNetV4). The method comprises the steps of firstly constructing a degraded underwater image data set and performing normalization preprocessing; a generator with MobileNetV4 as a trunk is provided, wavelet denoising (WD), color correction (CC), a multi-query attention mechanism (MQA) and a LayerScale layer are integrated, and high-frequency noise reduction, color temperature adjustment and feature stabilization are achieved; in cooperation with a multi-scale discriminator (MSD), Huber adversarial loss, Smooth L1 similarity loss and dual-channel content perception loss optimization training are adopted. Compared with a traditional method, the model is smaller in parameter quantity and calculation quantity, but better performance is achieved, the UIQM index is improved by more than 15%, the requirements for light weight and enhanced quality are remarkably balanced, and the method has practical value in the fields of ocean exploration, biological monitoring and the like.

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 belongs to the technical field of display equipment optimization, and discloses a display equipment brightness and color temperature control system based on ambient light adaptive adjustment, and the system comprises the steps: collecting multi-sensor data, constructing a polarization responsibility domain matrix, and generating a salt mist scattering field intensity graph; acquiring a solar altitude, and when the altitude meets an abnormal triggering condition, triggering low-angle light field reconstruction, generating an angle-region suppression mapping table, calculating a light compensation coefficient, and generating a suppression-compensation dual-channel instruction set; analyzing instruction conflicts, generating a driving instruction chain, and executing dynamic dimming; calculating a credibility index, freezing a partition voucher and activating a security mode when an abnormal state is triggered, and generating a verification report; and updating a polarization responsibility domain matrix, calibrating a salt mist scattering field intensity graph, optimizing an angle-region suppression mapping table, generating a new generation of control parameter set, and refreshing a final driving instruction chain.

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 screen display adjustment and visual health protection, and discloses a screen color temperature intelligent adjustment method and system, and the method comprises the steps: obtaining a user face image sequence and ambient light perception data; according to the face image sequence, eye features are extracted, a dynamic change trend is analyzed, blinking frequency and eyelid closing duration data are calculated, and a visual fatigue evaluation value is obtained; according to the ambient light sensing data and the visual fatigue evaluation value, correcting the fatigue degree and classifying fatigue stages to obtain color temperature and brightness adjustment parameters; and transmitting the adjustment parameter to a screen display driver for gradual change processing to obtain a final screen display configuration. According to the method, personalized accurate adjustment of the screen parameters is realized, visual fatigue is effectively relieved, and the use experience and the visual health protection effect are improved.

The invention relates to the technical field of illumination, in particular to a multi-color-temperature down lamp and an intelligent control method of the multi-color-temperature down lamp. The intelligent control method for the multi-color-temperature down lamp comprises the following steps: acquiring the target brightness of the down lamp; obtaining a color temperature demand of a user; determining the target brightness of each LED lamp bead in the down lamp according to the target brightness and the color temperature demand, wherein the color temperatures of at least two lamp beads are different; and controlling each LED lamp bead to emit light at the target brightness. According to the invention, high-precision matching of the brightness and the color temperature of the down lamp can be realized.

A device located within a user environment may be used to measure one or more environmental conditions within the user environment. For example, the sensor device may measure the temperature, humidity, light intensity, color temperature, and / or the like. The sensor device may periodically measure the environmental conditions, and may periodically transmit the values of the measured environmental conditions to a computing device. A mobile device associated with a user may receive the measured values from the sensor device when the mobile device is within range of the sensor device, and may present a survey to the user that includes one or more questions that prompt the user to report their comfort level with respect to the measured environmental conditions. The mobile device and / or another computing device may build a profile for the location and / or the user based on the values and the user's reported comfort levels.

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 color restoration method and device for a multi-color-temperature mixed light source scene, equipment and a medium, and the method comprises the steps: dividing a to-be-restored image into a plurality of image blocks, and calculating the white balance gain offset value of each image block; all the white balance gain offset values are corrected based on the scene change coefficient, and each target white balance gain offset value is obtained based on the proportionality coefficient and the corrected white balance gain offset values; calculating target CCM saturation based on the proportionality coefficient and the color temperature value of the white balance block in the image block, and determining a target CCM based on the target CCM saturation and the calibration CCM; correcting the corresponding image block based on each target white balance gain offset value; and performing color restoration on the corrected image block by using the target CCM. According to the method, the local white balance gain and the dynamic CCM are used for performing color rendition on the image blocks, color temperature areas do not need to be distinguished, meanwhile, the real-time performance and the effect of color rendition are guaranteed, and the user experience is improved.

The invention discloses an intelligent space light environment adaptive regulation and control system fusing multi-sensing data, relates to the field of intelligent buildings and light environment regulation and control, and solves the problems that a traditional light environment regulation and control system cannot accurately meet personnel requirements and is poor in energy-saving effect. The system comprises a multi-source heterogeneous sensing data acquisition module, a light environment demand prediction module based on deep reinforcement learning, a light environment regulation and control decision module, an intelligent execution module and a multi-mode interaction feedback module. Multi-source data such as illumination intensity, color temperature and personnel distribution are collected, a deep reinforcement learning model is utilized to predict light environment requirements, a regulation and control decision is generated in combination with spatial function attributes and energy-saving requirements, and finally, illumination equipment is regulated and controlled through an intelligent execution module. According to the scheme, precise regulation and control and energy-saving optimization of the light environment are achieved, the comfort level of personnel is improved, and the intelligent level and the energy-saving effect of light environment regulation and control are remarkably improved.

The invention discloses an automatic test method and device based on a camera and an electronic device, and the method comprises the steps: configuring a test environment which comprises an adjustable light source and a standard test graphic card; the brightness and color temperature of the adjustable light source and the focal length and exposure parameters of the to-be-detected camera are automatically adjusted through the control module; controlling the to-be-tested camera to acquire an image of the standard test graphic card, and transmitting the acquired image to an image processing module; the image is analyzed through an image processing module, and the resolution, the color rendition degree, the noise level and the distortion rate are calculated; and generating a test report according to an analysis result, and judging whether the to-be-tested camera is qualified or not. According to the scheme provided by the invention, the adjustable light is automatically controlled to test the camera, the cost of a test task is reduced, the test efficiency is improved, and in addition, the camera test precision is improved through various abundant test conditions.

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 relates to the technical field of illumination control, solves the problem that the prior art lacks an LED lamp strip control strategy for dynamic adjustment according to ambient light changes and user use habits in different time periods, and provides an illumination control strategy updating method and device on an LED lamp strip, equipment and a medium. The method comprises the following steps: acquiring historical ambient light illuminance and historical ambient light color temperature of an LED lamp strip in a first preset period; performing time period clustering on the historical illumination data set to obtain a time period cluster set; acquiring an intensity index according to the accumulated illumination duration of each time period cluster; obtaining a forgetting coefficient of each historical illumination data; weighting according to the forgetting coefficient and the strength index to obtain a weighted strength index; updating the illumination control strategy; and after a first preset period, performing illumination according to the updated illumination control strategy and the environment parameters. According to the invention, the control strategy of the LED lamp strip can be dynamically adjusted according to the ambient light change in different time periods and the use habit of a user.

The invention discloses a compressor rotor assembly defect detection method and system based on machine vision, and relates to the technical field of defect detection.During operation of the system, sensors are arranged on the periphery of a detection station, the real-time brightness of natural light and an artificial light source in a workshop is collected, a programmable LED lamp array is arranged above a rotor detection area, and the real-time brightness of the rotor detection area is detected; the method comprises the following steps: dynamically adjusting the brightness and color temperature of an LED, forming a controllable optical domain, shooting two paths of images, synchronously obtaining a visible light HDR image and a near-infrared image, outputting preliminary fusion data, caching a synchronous frame to an annular buffer area, and if the ambient light fluctuation is still severe, fusing, balancing and enhancing the multi-exposure visible light and near-infrared image through a rapid HDR fusion algorithm to obtain a high-definition image. The method comprises the steps that firstly, a high-robustness preprocessing graph is obtained, concentricity CEM, gap unevenness AGF and texture deviation TDM are extracted from the preprocessing graph, feature fusion output is carried out, according to an environment self-adaption threshold fusion index, a defect level is output, and correction or alarm is triggered.

An illumination device, system, and method are provided herein for emulating sunlight along a daytime or nighttime locus. Color temperature is determined using a first color temperature curve that includes data representative of a first color temperature as a function of a time of day. In response to a request to a change in brightness of one or more LED chains, a target color temperature output as a function of the current time of day is determined using a second color temperature curve based on the requested change in brightness. The second color temperature curve includes the target color temperature corresponding to the determined current time of day. The target color temperature output includes a lesser change in color temperature at solar noon than the change in color temperature at sunrise and sunset.

The invention provides a production equipment state real-time analysis method and system based on edge calculation, and relates to the technical field of information, and the method comprises the steps: analyzing the dynamic change trend of a light beam central axis according to the offset trajectory of the light beam central axis, and determining the spatial distribution characteristics of the light beam axis through the dynamic change trend of the light beam central axis in combination with an LED array arrangement SIC mode; if the adjustment angle in the lens calibration instruction set exceeds a preset angle threshold, dynamically adjusting the position of the optical axis of the lens according to the offset amplitude and direction of the optical axis, compensating the offset of the light beam axis in real time, and obtaining a calibrated optical axis parameter; according to the color temperature distribution uniformity, determining a target lens position through a lens position adjustment attribute; according to the calibrated optical axis parameters and color temperature distribution uniformity, stable light beam center axis distribution is determined, spectrum consistency is determined, and a performance evaluation data set is obtained through comprehensive evaluation.

The invention is suitable for the technical field of electronic paper, and provides a light source control method of electronic paper display equipment and the electronic paper display equipment, and the method comprises the steps: obtaining the current ambient light information of the electronic paper display equipment; detecting whether the current ambient light intensity is higher than a light intensity threshold; if it is detected that the current environment light intensity is higher than the light intensity threshold value, a closing instruction is generated; if it is detected that the current environment light intensity is lower than or equal to the light intensity threshold value, determining target light-emitting brightness and target light-emitting color temperature of the light-emitting device based on the current environment light intensity; and controlling the light-emitting device to output light according to the target light-emitting brightness and the target light-emitting color temperature. According to the method, the light-emitting device is controlled to be turned off when the current ambient light intensity is higher than the light intensity threshold, the reflective characteristic of the electronic paper can be returned, and the most appropriate reading experience is provided for a user; when the current ambient light intensity is low, light output can be accurately controlled, and the problem that an existing backlight scheme is not matched with the reflective characteristic of the electronic paper display equipment is solved.

The invention provides a packaging method for a double-color-temperature COB light source, and relates to the technical field of LED light source packaging. The packaging method of the double-color-temperature COB light source comprises the following steps of (1) substrate pretreatment, (2) chip die bonding, (3) lead bonding, (4) fluorescent powder layer preparation, (5) packaging glue filling and (6) curing treatment. The substrate is subjected to special pretreatment, so that the adhesive force between the substrate and the packaging material is improved, and the reliability of the light source is enhanced. Through high-precision chip die bonding and an optimized lead bonding process, the chip position precision and the electrical connection reliability are ensured, and the optical performance consistency of the light source is improved. Through precise fluorescent powder proportion regulation and control and an ink-jet printing coating technology, precise regulation and control of double color temperatures are achieved, and the lighting requirements of different scenes are met. Through precise fluorescent powder proportion regulation and control and an ink-jet printing coating technology, precise regulation and control of double color temperatures are achieved, and the lighting requirements of different scenes are met.

The invention discloses an indoor zero-blue-light healthy lighting system and method, and relates to the technical field of healthy lighting, and the method comprises the steps: firstly, determining lighting parameters and demands in combination with the vision of old people and a pension scene; zero blue light layered lighting hardware is constructed; integrating a plurality of sensors and a plurality of control functions to form an intelligent control module; then, self-adaptive illumination adjustment is achieved through multiple algorithms; and finally, applying the adjusted system to pension scene verification, and forming an adaptive scheme according to feedback fine tuning parameters. Through zero blue light layered lighting hardware and a multi-source perception fusion algorithm, the system adapts to the visual and behavior requirements of the elderly, adopts a pure LED light source to eliminate blue light hazards, achieves the cooperation of layered lighting and intelligent control, achieves the dynamic adjustment to meet precise lighting and reduce energy consumption, and also responds to the environment and behaviors in real time through various algorithms, maintains color temperature transition and zero blue light output, and achieves the intelligent control of the elderly. And the health value and experience are improved.

The invention discloses a color temperature adjustable lighting device and a control method thereof, and belongs to the technical field of intelligent lighting. The invention aims to solve the problems that the existing color temperature adjustable lighting device is difficult to adapt to complex ambient light change, the individual demand fusion of users is insufficient and the color temperature stability is poor. Ambient light and a user control instruction are collected through a perception interaction module, an execution decision module constructs an evaluation data set based on ambient light collection time, ambient light complexity is quantized through multi-dimensional feature extraction and deep evaluation is carried out, after initial target color temperature is obtained in combination with the user control instruction, a hierarchical control strategy is started according to the complexity level, and a target color temperature is obtained. Generating a color temperature gradient adjustment curve; and the intelligent control module performs dynamic calculation and deviation correction on the driving parameters, thereby realizing accurate regulation and control of the color temperature. According to the scheme, the adaptive matching capability and the long-term stability of the illumination color temperature, the environment and the user demand are improved through the environment light complexity evaluation and hierarchical control strategy.

The invention relates to the technical field of face recognition, and discloses a face recognition system and a detection method thereof, and the recognition system is composed of a face image acquisition module, an environment perception and preprocessing module, a face detection feature extraction module, a comprehensive analysis and comparison module and a data storage monitoring module. According to the method, environmental factors such as illumination intensity, light source type and color temperature are detected through a sensor, corresponding preprocessing is carried out on the image, the influence of the environmental factors on the recognition precision can be reduced by correcting illumination unevenness, denoising and enhancing contrast and sharpness, meanwhile, image compensation and denoising are carried out, illumination unevenness is compensated, and denoising processing is carried out, so that the recognition precision is improved. The beneficial effects of comprehensive analysis of age, health conditions and illumination condition environmental factors through face recognition and more stable recognition precision are achieved.

The invention discloses a brightness and chrominance consistency correction method and system for an LED spliced screen, and the method comprises the steps: firstly recognizing the batch features of a module, dividing the batch features into correction partitions, and respectively collecting the original brightness and chrominance data of a high-gray linear region and a low-gray nonlinear region; and then, calculating the geometric intersection of the original color gamuts of all the partitions to determine the maximum common target color gamut, and eliminating the metamerism phenomenon caused by multi-batch mixed use from the physical level. Then, constructing a non-linear dual-order correction model, and generating a correction coefficient set containing a main linear conversion matrix and a low-gray-scale non-linear offset item; when the control system runs, the linear matrix is dynamically called according to the input gray level, and bias compensation is superposed. According to the invention, the problems of cross-batch visual angle chromatic aberration and color temperature drift and pocking marks under low gray level of the spliced screen are effectively solved, and the high-fidelity display consistency of the full gray level is realized.

The invention discloses an LED lamp strip dynamic image quality intelligent optimization method and system based on deep learning driving, and relates to the technical field of LED intelligent control. The LED lamp strip dynamic image quality intelligent optimization method and system based on deep learning driving comprises the steps of S1, preprocessing real-time LED working condition data, memory reference data and historical fluctuation abnormal data; s2, adaptively dividing the LED lamp strip into different independent partitions according to spatial and physical attributes through multi-dimensional feature analysis and clustering; s3, based on a time sequence derivative sensitivity theory, judging thermal drift instability and color temperature abnormity, and entering a sudden change criterion process; s4, executing a sudden change criterion process according to a trend sudden change composite criterion result, and entering an offset compensation process; and S5, based on a criterion compensation theory, executing an offset compensation process. The problems of image quality degradation and color difference accumulation after long-term operation due to the fact that an existing LED lamp strip image quality intelligent optimization system is difficult to achieve real-time self-adaptive compensation of color temperature drifting and color cast phenomena caused by chip junction temperature rise are solved.

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