4586 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 provides a building energy-saving control system based on centralized control of the Internet of Things, and relates to the technical field of data processing, and the system comprises a data collection module which is used for collecting personnel activity data, environment parameter data and equipment state data in a building in real time; the data preprocessing module is used for carrying out cleaning, denoising and time sequence alignment processing; the area use mode recognition module is used for analyzing the use conditions of equipment in different areas in the building according to a multi-layer classification rule; the energy-saving control strategy generation module is used for analyzing equipment in the building and generating a region-level energy-saving control instruction set; the execution control module is used for controlling an air conditioning system, a lighting system and an elevator system in the building in real time; the feedback regulation module is used for monitoring real-time feedback data of the equipment operation parameter set and feeding back to the energy-saving control strategy generation module in combination with environmental parameter data change; according to the invention, autonomy and accuracy of building energy-saving control are improved.

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 discloses a laser radar point cloud positioning method in a degraded environment based on feature point enhancement, and the method comprises the following steps: fusing a laser radar and an IMU sensor through employing a tight coupling method, and compensating the motion distortion of laser radar point cloud data; line and plane features of tunnel point clouds and local features in tunnels, such as signs and lighting systems, are extracted in a self-adaptive manner. Feature enhancement is carried out by predicting a virtual point. And carrying out feature matching registration by combining the feature points and fusing the pose matrix pre-integrated by the IUM. Coordinate conversion is carried out to convert the point cloud data from an absolute coordinate system of the laser radar to a world coordinate system by introducing a reference point; and a factor graph optimization algorithm is introduced at the rear end to improve the mapping and positioning precision. According to the method, the laser radar and the IMU sensor are fused, and adaptive feature extraction is adopted for feature matching, so that high-precision mapping and positioning can be completed in a long tunnel degradation environment.

The invention relates to the technical field of evaluation and management, in particular to a classroom learning dynamic evaluation and management system, which comprises a multi-source heterogeneous data acquisition module, an acoustic sensor array, an optical motion capture unit, an intelligent writing track acquisition device and a brain wave monitoring terminal, the data preprocessing and feature fusion module is used for eliminating environment interference signals and generating preprocessed data; the dynamic learning state evaluation module is used for extracting three-dimensional features and outputting a dynamic evaluation matrix; the group learning portrait generation module is used for generating a multi-dimensional learning portrait in combination with a preset knowledge graph topological structure; the self-adaptive management strategy generation module is used for dynamically generating a management strategy set; and the intelligent feedback execution module is used for driving the self-adaptive illumination system, the wearable vibration reminding device and the AR enhancement projection equipment to execute physical environment regulation and control. According to the invention, personalized strategy dynamic generation is realized, and adaptive regulation and control of the classroom environment and the teaching rhythm are realized in combination with the intelligent Internet of Things equipment, so that an intelligent collaborative feedback closed loop is formed.

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 discloses a real estate information verification method and system based on an image technology, and relates to the technical field of real estate information verification, and the method comprises the following steps: image collection: employing a collection device with multiple functions, and through the means of adjustable illumination, automatic paper flattening, multi-mode scanning, real-time quality monitoring, etc. Obtaining a high-quality and comprehensive paper house property certificate file image; acquiring a paper house property certificate file image by utilizing acquisition equipment which is provided with an adjustable lighting system and has an automatic paper flattening function; according to the method, comprehensive information is acquired through multi-mode scanning, the risk of information omission is effectively reduced, noise is accurately removed through image preprocessing, the contrast ratio is enhanced, information missing is repaired, a clear image is provided for follow-up processing, multiple kinds of accurate feature analysis are newly added in the feature extraction link, rich and accurate feature vectors are formed, and the image quality is improved. And the capability of judging the authenticity and integrity of the file is greatly enhanced, so that the accuracy and reliability of verification are remarkably improved.

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.

A smart lighting device, and a system including one or more smart lighting devices, that are well-suited for use in at-home setting. The devices may be configured as night lights, and can provide continuous monitoring of a person in the at-home setting and provide alerts to the person of potential fall risk areas in the home. Further, the devices may provide alerts to others (other designated persons / organizations), e.g., in the event of a fall or fall risk. Further, the devices may recognize unknown persons in the home, and provide alerts to others. The system may be configured to route these alerts to according to user preference and / or a severity of the detected situation / alert.

The invention provides a garage light energy-saving management system and device, and the method comprises the steps: obtaining the environment illuminance and traffic flow parameters of a garage based on a sensor network, and building a garage light energy-saving control model according to the environment illuminance and traffic flow parameters; obtaining a garage light energy-saving control strategy based on the garage light energy-saving control model parameters; generating an expected lighting strategy of the garage lighting system through a scene control and induction control algorithm, wherein the expected lighting strategy is dynamically adjusted along with the traffic flow parameters; constructing an intelligent control model of the garage lighting system; and receiving an illumination instruction of the central control system, updating the illumination instruction based on the intelligent control model, and performing illumination control based on the updated illumination instruction to realize optimal management of light brightness and energy consumption. Energy consumption can be reduced, and lighting efficiency can be 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 discloses a reflection-transmission mixed extreme ultraviolet collimation illumination system, and relates to the technical field of extreme ultraviolet optics. The system comprises a discharge plasma EUV light source, a multilayer film ellipsoid reflector and a collimating super lens. Wherein the discharge plasma EUV light source is used for generating radiation light in an extreme ultraviolet band; the multi-layer film ellipsoid reflector adopts an ellipsoid design, is plated with a high-reflectivity multi-layer film, is arranged on a transmission line of the discharge plasma EUV light source, and is used for focusing light beams of the light source; and the collimating super lens is arranged behind the focal position of the multi-layer film ellipsoid reflector and is used for collimating the focused light beams to form parallel light beams for Talbot photoetching illumination. The extreme ultraviolet illumination system is compact in structure, high in light beam energy and high in collimation, and the exposure quality in an application scene needing high-collimation extreme ultraviolet light beams is effectively improved.

A method for conditionally transmitting a prompt as input to a large language model, and for using an output of said large language model to control a lighting system. The method comprising the steps of: receiving a textual user input indicative of an intention to control one or more devices of the lighting system, analyzing said textual user input to determine at least one characteristic of said textual user input, determining a level of complexity of said textual user input based on said at least one characteristic, and only if said level of complexity is above a first complexity threshold, generating a prompt, said prompt comprising at least said textual user input, and transmitting said prompt to said large language model via an output interface, receiving the output of said large language model and controlling said lighting system according to said output.

The invention discloses a road tunnel lighting system and method based on traffic flow and external environment. Relates to the technical field of highway tunnel lighting. At present, a traditional road tunnel lighting system mode neglects factors such as tunnel external environment change and traffic flow density, so that energy waste and poor lighting effect are caused, especially under day and night alternation, weather change or special traffic conditions; according to the system, information such as traffic flow, environment illumination intensity and meteorological conditions inside and outside a tunnel is collected in real time through multiple sensors, and the illumination brightness inside the tunnel is dynamically adjusted by combining calculation and dimming strategies of a central control unit so as to cope with different traffic and weather conditions; according to the road tunnel lighting system and method, through dimming control, the energy utilization efficiency can be remarkably improved while traffic safety is guaranteed, and high economic benefits and social benefits are achieved.

A multimode lighting system is disclosed. Due to industry standards, manufacturers of lighting devices are incentivized to create high initial light outputs that drop off quickly. Portable lighting devices with multiple modes of operation that can maximize light output and runtime according to industry standards (e.g., FL-1) as well as other lighting modes with more consistent light output over the device runtime. Lighting modes may be adjusted automatically based on sensor input. In an extreme mode, light output may be adjusted based on the temperature of the lights. Automatic modes may be adjusted based on ambient lighting or distance to a target. Lifecycle adjustments may be made to output current levels to obtain consistent light output throughout the lifecycle of lights by adjusting lighting based on accumulated usage.

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.

System and method for controlling one or more light emitting diodes. For example, the system includes: a voltage detector configured to receive a rectified voltage associated with a TRIAC dimmer and generated by a rectifying bridge and generate a first sensing signal representing the rectified voltage; a distortion detector configured to receive the first sensing signal, determine whether the rectified voltage is distorted or not based at least in part on the first sensing signal, and generate a distortion detection signal indicating whether the rectified voltage is distorted or not; and a phase detector configured to receive the first sensing signal and generate a phase detection signal indicating a detected phase range within which the TRIAC dimmer is in a conduction state based at least in part on the first sensing signal.

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.

Systems, methods and apparatus of predictive maintenance of automotive lights. For example, a vehicle has: a vehicle light assembly; sensors configured on the vehicle to measure operating parameters of the vehicle light assembly; an artificial neural network configured to analyze the operating parameters of the vehicle light assembly as a function of time to generate a result; and at least one processor configured to generate a suggestion for a maintenance service of the vehicle light assembly based on the result from the artificial neural network analyzing the operating parameters of the vehicle light assembly. For example, the sensors can be configured to measure ambient light intensity, light intensity reflected by a surface illuminated by the light, current and / or voltage in the light, and / or light intensity at a location illuminated by both environment and the light.

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.

The light source module comprises a first light-emitting unit, a second light-emitting unit, a third light-emitting unit and a fourth light-emitting unit which are electrically independent from one another and have different light colors, and the light color of the single-color light-emitting unit is optimized by the light source module, so that the color temperature coverage range of white light obtained by light mixing is wide; compared with the prior art, the light source module has the advantages that the coverage range is from 1800 K to 20000 K, meanwhile, the light source module has good color rendering property, the color rendering index CRI is larger than 90 in the color temperature range of 1800-20000 K, the color rendering index CRI is larger than 95 in the color temperature interval range of 2100-20000 K, the light quality of the light source module is superior to that of an existing RGB, RGBW and other all-in-one light source, and the light source module is more suitable for the field of general indoor illumination. Meanwhile, color light can be compatible by controlling the multiple light emitting units, and a multi-color light mixing system capable of giving consideration to high-quality white light and color light atmosphere at the same time is formed.

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.

An aerial lighting system includes: two or more unmanned aerial vehicles (UAVs) each including a corresponding high-powered LED array arranged to illuminate an area beneath the UAVs when the UAVs are airborne; a base station configured to retain the UAVs when not airborne, wherein the base station includes a controller for controlling the UAVs; and a plurality of cables for transferring power and data, including: (i) a first cable detachably coupled between the base station and a first UAV, wherein the first UAV receives power from the base station and communicates with the controller via the first cable, and (ii) a second cable detachably coupled between the first UAV and a second UAV, wherein the second UAV receives power from the base station and communicates with the controller via the second cable.

The invention discloses a multifunctional indoor lighting system based on AI, and provides an intelligent and personalized lighting scheme. The system comprises a human body detection module, a light induction module, an emotion recognition module, a music rhythm module, a central control module, a user interaction module and a communication module. The human body detection module uses an infrared sensor, a camera or a radar to monitor personnel activities in real time and automatically control a light switch. The light sensing module dynamically adjusts the brightness through a photosensitive sensor to ensure optimal illumination; the emotion recognition module analyzes emotion in combination with a camera and an AI algorithm, and automatically adjusts the color and brightness of light; the music rhythm module captures music rhythms through a microphone, so that light changes along with the music rhythms, and atmosphere is created. The central control module integrates sensor data, and utilizes an AI algorithm to accurately adjust the light effect. A user can set a personalized scene through a smart phone APP, a voice assistant or a touch panel. And the communication module adopts a Wi-Fi or 2.4 G wireless technology to realize equipment interconnection and remote control. The system has the advantages of intelligent control, energy conservation, environmental protection, multifunctional integration and the like, is widely suitable for families, offices and entertainment venues, and improves the lighting experience.