3381 results about "Lighting system" patented technology

A display system of an aircraft includes a display device defining a display area, a vision system for generating an image of an operating environment of the aircraft on the display area, data processors operatively coupled to the display device and the vision system, and non-transitory machine-readable memory operatively coupled to the one or more data processors and storing instructions executable by the one or more processors and configured to cause the one or more processors to, when a condition of the aircraft is met, cause an alteration of a display of flight information on the display area to declutter a cutout region in the image generated by the vision system, the cutout region devoid of imaging generated by the vision system and displaying an Approach Lighting System (ALS) of a runway of intended landing for the aircraft.

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

The invention provides a 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 a fire-fighting early warning system and method based on artificial intelligence, and relates to the technical field of intelligent fire-fighting early warning, and the system comprises an environment sensing module which comprises a multispectral sensor, a temperature sensor, a smoke sensor and a high-definition camera, and is used for collecting fire characteristic spectral data and transmitting the data to a data analysis module; the data analysis module comprises an edge calculation unit and a data fusion unit, and is used for performing feature extraction and anomaly detection on the fire feature spectrum data through a deep learning model to generate a fire risk assessment result; the early warning decision module comprises a risk assessment unit, an early warning grading unit and a communication unit, and is used for determining an early warning grade according to a fire risk assessment result and triggering equipment of the execution feedback module; and the execution feedback module comprises a spraying system, an emergency lighting system and an alarm and is used for executing fire emergency measures according to the instruction of the early warning decision module. According to the invention, comprehensive improvement of fire prevention and control efficiency is realized through cooperative work of multiple modules.

The invention discloses a matrix layout illumination state detection method, device and equipment, and the method comprises the steps: collecting and analyzing a power supply bus current waveform and a single lamp feedback signal, and generating a node feature cluster; extracting a power consumption difference value of adjacent lamps, identifying an abnormal observation point and constructing a fault diffusion chain; marking a timestamp for the fault diffusion chain, determining a fault source, and marking current by injecting characteristics to delimit an influence domain; deploying monitoring anchor points at the boundary of the influence domain, collecting the light color parameter variation and predicting the residual life; extracting the oscillation envelope of the starting current peak, evaluating the health degree of the driver and generating a maintenance density field; and a three-dimensional detection field is constructed by fusing multi-dimensional detection data, singular points are searched, and coordinates of a fault lamp are accurately analyzed through fault positioning pulses. According to the invention, three-dimensional monitoring from electrical characteristics and optical performance to driver states is realized, a single lamp fault can be accurately positioned, a life trend can be predicted, fault propagation can be tracked, and technical support is provided for intelligent operation and maintenance of a large-scale illumination system.

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 an intelligent lighting energy-saving method and system based on multi-modal data fusion. The method comprises the following steps: periodically obtaining a decision trajectory data set; combining the experience pool of the previous period with the decision trajectory data set newly collected in the current period according to a set proportion, and screening according to priority weight; training to obtain candidate strategies; evaluating the candidate strategies in a test scene set; adding the strategy comprehensive score into a strategy library when the strategy comprehensive score meets an access condition; when the strategy capacity in the strategy library reaches a preset value, eliminating the strategy with the lowest comprehensive strategy score based on the Pareto frontier; constructing a fitness function of the strategy and establishing a feedback-weight mapping model used for obtaining a prediction score; and based on the feedback-weight mapping model, establishing a loss function gradient, and based on the loss function gradient, performing iterated weight calculation to obtain iterated weights after the iterated calculation. According to the invention, the long-term energy-saving efficiency and the user experience of the lighting system are improved.

The invention discloses a classroom environment intelligent supervision method and system based on data analysis, and the method comprises the steps: obtaining multi-source heterogeneous data in a classroom environment, eliminating the sensor noise of the multi-source heterogeneous data through employing an improved Kalman filtering algorithm, carrying out the time-space alignment of the data after noise elimination, and obtaining the aligned multi-source heterogeneous data; establishing a CRNN three-layer convolutional recurrent neural network model, and inputting the aligned multi-source heterogeneous data into the CRNN three-layer convolutional recurrent neural network model for recognition to obtain a classroom teaching environment state; and carrying out classroom risk early warning and self-adaptive classroom environment regulation and control according to the classroom teaching environment state. The classroom emergency risk can be actively prevented, automatic adjustment can be achieved through an intelligent air conditioner and an illumination system, a safe and comfortable teaching environment is created, and classroom efficiency improvement and teacher and student health guarantee are facilitated.

The invention relates to the technical field of vehicle lamp systems, in particular to an intelligent vehicle lamp system based on DLP projection, a control method and a vehicle. The intelligent vehicle lamp system based on DLP projection comprises an optical system, an intelligent control system, an execution module and a power management system, the system collects environment data in real time through a sensor, a central processing unit fuses multi-source information and generates a control instruction through an AI algorithm, and the light source brightness, the irradiation angle and the road surface projection content are dynamically adjusted; meanwhile, voice interaction and remote control are supported, and the self-adaptive lighting and safety warning functions are achieved. Through the intelligent control and DLP projection technology, the vehicle lamp performance is improved, the lighting effect is optimized, and the night driving safety is enhanced; self-adaptive adjustment is realized, and the driving experience is improved; the energy consumption is reduced by more than 30%; the battery life is prolonged; v2X communication is supported, and intelligent early warning is realized; a voice control function is provided, and operation is more convenient and safer; a road surface projection function is added, navigation arrows and warning marks can be displayed, and visual driving assistance is provided.

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 relates to the technical field of illumination design, and discloses a transformer substation indoor illumination design method, system and device and a storage medium, and the method comprises the steps: obtaining real-time data, spatial feature data and meteorological data of a transformer substation, inputting the data into an illumination prediction model, and obtaining the illumination demand value of each region of the transformer substation; inputting the illumination demand value and the environmental parameters into a lamp selection model to obtain a lamp layout initial scheme; establishing a three-dimensional simulation model of the transformer substation according to the transformer substation design drawing and the lamp layout initial scheme, and performing iterative simulation to obtain a lamp layout optimization scheme; performing clustering analysis on the lamp layout optimization scheme by adopting a clustering algorithm to obtain a plurality of lamp groups, and setting an independent power distribution loop for each lamp group; and generating a control strategy corresponding to each lamp group according to the illumination demand value. According to the invention, the design precision, the energy efficiency level and the operation and maintenance convenience of the lighting system are remarkably improved by fusing dynamic prediction, multi-objective optimization and intelligent control technologies.

A system for automatically adjusting the lighting parameters of a space is disclosed herein. The control module sets the target lighting parameters in the space and drive the smart lamp groups to illuminate by using the preset light recipe and to control the smart lamp groups to perform the illumination. The control module compares an ambient light detection value in the actual environment with the target value. When the ambient light detection value is not the same as the target value, the control module drives the ambient light sensor module performs a dimming procedure to the smart lamp groups. Wherein, the dimming procedure includes the step of adjusting an illuminance uniformity of the space according to the actual illuminance detected by the ambient light sensor module. After the calculation of the illuminance uniformity formula, the illuminance uniformity is adjusted to be the same as a target illuminance uniformity.

The invention provides an energy-saving optimization method and device for intelligent city lighting and energy management. The method comprises the following steps: acquiring multi-source fusion data acquired by a multi-mode sensor configured at a lighting node in real time; carrying out coupling analysis on junction temperature fluctuation characteristics of the lighting equipment and a harmonic spectrum of a power supply system according to the multi-source fusion data, and determining dynamic characteristic parameters of the lighting equipment; constructing a multi-objective optimization function according to the dynamic characteristic parameters; and processing the multi-objective optimization function to generate a multi-domain collaborative optimization control strategy. Through implementation of the scheme of the invention, the finally output multi-domain cooperative control strategy can dynamically adjust illumination output and power supply deployment in real time according to the sensing data, and the overall energy consumption of the illumination system is effectively reduced.

The invention provides a whole-house health intervention lighting system and a lighting method thereof, and the system comprises a distributed multi-mode sensing layer which is used for non-inductively collecting the physiological, behavior and environment information of a user through a sensor module integrated in a lighting lamp; the edge calculation and model analysis layer is used for carrying out preprocessing and feature extraction on the data acquired by the distributed multi-mode perception layer and providing a model self-interpretation function; the decentralized federated artificial intelligence decision-making layer is used for constructing a personalized health model based on a federated learning framework, performing health state prediction and generating an intervention instruction; the cooperative multi-target intervention planning layer is used for converting the intervention instruction into a whole-house cooperative illumination control strategy; and the system health and fault-tolerant reconstruction layer is used for monitoring the state of the system and realizing function reconstruction when a fault occurs, and the organic cooperation among the layers realizes the capabilities of non-inductive monitoring, privacy protection, continuous learning and active intervention of the lighting system.

The invention discloses a highway tunnel vehicle-mounted lighting system for intelligently measuring and calculating lamp lightening time based on an interval, and relates to the technical field of highway tunnel lighting energy saving. The invention discloses a highway tunnel vehicle-mounted lighting system for intelligently measuring and calculating lamp lightening time based on an interval. The highway tunnel vehicle-mounted lighting system comprises an interval division module, a lighting analysis module and a lighting control module. According to the method, the highway tunnel is subjected to refined interval division, vehicle shielding features, identification information and timestamps are combined, vehicle passing key features are dynamically obtained, the illumination path of each vehicle can be accurately predicted, and vehicle-mounted response and on-demand illumination are achieved; and front and back external environment illumination change information is fused, sunlight reflection illumination features are extracted, interference of strong sunlight reflection, entrance and exit light difference and the like on illumination control is eliminated from the source, and the environment adaptability and recognition accuracy of an illumination system are remarkably improved.

An illumination system includes one or more angularly varying light emitting devices, an imager, and one or more time of flight sensors, wherein light output from the angularly varying light emitting device is based at least in part on images of the environment and information from the one or more time of flight sensors.

The invention relates to the technical field of intelligent lighting control, and discloses an LED lighting energy-saving control system based on data judgment, which comprises a data sensing module, a scene recognition module, a strategy storage module and a driving control module, the data sensing module is used for collecting personnel dynamic behavior information and environment illumination intensity information in an illumination area; the scene recognition module outputs a corresponding scene recognition signal by receiving, fusing and analyzing the sensing data; a mapping relation table is stored in the strategy storage module; and the driving control module queries the mapping relation table through the scene identification signal to obtain the illumination control parameter of the target, and converts the illumination control parameter into an instruction signal for driving the LED lamp. According to the invention, through multi-dimensional data fusion and scene adaptive control, refined energy saving of the lighting system is realized on the premise of ensuring comfort.

The invention relates to the technical field of music and light synchronization, and particularly discloses a multi-dimensional input and output music rhythm method and device and a light system.The method comprises the following steps that S1, a user selects music rhythm scenes, S2, music features are extracted through an audio analysis algorithm, S3, a rhythm mode light effect library is started, and S4, a light driving circuit is started; music feature extraction is performed on a music signal through an audio analysis algorithm, music feature information is converted into a light control instruction based on the extracted music features and according to a preset intelligent mapping rule, and a light driving circuit of an atmosphere lamp drives a light emitting unit of an atmosphere lamp circuit based on the light control instruction, so that the atmosphere lamp is controlled to emit light. According to the method, an audio analysis algorithm is introduced, seven key audio track elements can be accurately recognized, the capture range and accuracy of music information are greatly expanded, and deep matching of lamplight rhythm and music emotion expression is achieved.

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

The invention relates to a method and device for realizing virtual and real light effect alignment in virtual shooting, equipment, a medium and a program product, and the method comprises the steps: obtaining a target color value of a specified virtual material in a virtual scene displayed on a physical screen in a virtual shooting process, the target color value comprises a color value presented by a virtual material under current lighting of virtual light in a virtual scene; according to a target color value of a virtual material specified in the virtual scene, light control parameters for lighting an actual material in a real shooting environment to the target color value are determined, and the actual material and the virtual material are materials of the same object; and sending the light control parameter to a physical light system, so that an actual material in the real shooting environment presents a target color value consistent with a virtual material in a virtual scene displayed on a physical screen under the lighting of the physical light system. Therefore, the lighting efficiency can be improved, and a more accurate virtual-real alignment effect can be obtained.

The invention provides a light generating system (1000) configured to generate system light (1001) having a spectral power distribution with spectral intensity at a plurality of wavelengths within the wavelength range of 380-780 nm, wherein relative to a total radiant flux of the system light (1001) in the 380-780 nm wavelength range, 15-40% of the total radiant flux is within the 385-440 nm wavelength range, and 60-85% of the total radiant flux is within the 440-780 nm wavelength range, and wherein the system light (1001) has an R9 value of at maximum 85, and a color rendering index selected from the range of 55-85.

The utility model provides a photography lamp assembly and a photography lighting system. The photography lamp assembly comprises a lampshade body and a shading unit. The inner wall of the lampshade body is a reflecting surface, the reflecting surface is in a gradually-expanding parabola shape, and light emitted by the light source is reflected by the reflecting surface to form parallel light perpendicular to the plane where the light outlet is located; a reflecting area is further formed in the lampshade body, the shading units are arranged in the reflecting area, and the peripheral edges of the shading units are tangent to set intersecting lines of the reflecting area so that the shading units can absorb light rays which are emitted by the light source and not reflected by the reflecting face. Therefore, the number of non-parallel light contained in the light emitted from the lampshade body is effectively reduced, the uniformity of the whole illumination surface is improved, the imaging effect of shooting is effectively improved, and the shooting requirement of a user is efficiently met.

The invention provides an emergency lighting control chip and an emergency lighting system, the emergency lighting control chip is connected with an energy storage battery, an emergency lighting unit and a first node, the first node is used for receiving input current, both the energy storage battery and the emergency lighting unit are provided with positive ends and negative ends, and the emergency lighting control chip comprises a switch module. By setting the switching time sequence of the switch module, the functions of constant-current charging, full charge protection, overvoltage protection and emergency discharging can be realized in the emergency lighting control chip, an additional LED lamp does not need to be specially arranged, and the cost of manual wiring is lower.

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 relates to the technical field of image sensors, and discloses an illumination imaging method and device for mark recognition, and the device comprises an image sensor array which is used for carrying out the line-by-line exposure collection of target region marks, enabling each line of pixel points to be in an exposure state, and forming a target mark image; the imaging lens system is used for guiding reflected light of the target mark image to be transmitted to the image sensor array and reducing interference of other stray light received by the image sensor array except for illumination of an illumination system of the imaging device; the one or more groups of illumination systems are used for providing specific illumination for the target mark image in a specific window period, so that the exposure intensity of image pixel points in the window period is higher than that in a non-window period; a set of control and computing subsystems; a group of power supply systems; and a group of substrates. According to the invention, the problem of jelly effect of the rolling shutter image sensor is effectively solved, and further application of the rolling shutter image sensor in the field of mark identification is greatly expanded.

The invention relates to the technical field of industrial lighting control, in particular to a dynamic optimization regulation and control method and system for an industrial intelligent lighting lamp based on multi-mode environment perception and computer equipment. An environment feature matrix and a lamp portrait matrix are constructed by deploying a sensor network integrating illumination intensity, thermal distribution and production process light demand labels and combining lamps embedded with unique two-dimensional code labels and digital portraits of the lamps. A 0-1 continuous value priority matrix is generated based on cooperation of a multi-layer perceptron and FLC, and a control threshold is dynamically adjusted in combination with QoS parameters of an edge gateway. Under the abnormal working condition, a two-dimensional code maintenance work order is triggered, an adjacent lamp is activated to compensate illumination, meanwhile, a safety redundancy coefficient is fed back through a compensation effect, a dynamic demand model is driven to be iteratively upgraded, and a self-evolution system of'perception-decision-regulation-optimization 'is formed. According to the scheme, the environmental adaptability, the energy efficiency utilization rate and the operation and maintenance intelligent level of the industrial lighting system are remarkably improved, and real-time response and low-carbon energy conservation are both considered.

An enhanced lighting control system is provided that utilizes updated communications technology to provide a cost and resource efficient lighting control system that allows for a retrofit installation into existing lighting systems. The lighting control system utilizes single pair ethernet connection protocols, as well as a pulsed power source, to enable the efficiencies.

A modular track lighting system, such as but not limited to an overhead lighting system, includes one or more hubs and one or more tracks. Each of the one or more hubs includes at least one opening. At least one track may connect with the hub within the at least one opening to join the at least one track with the at least one hub.