8082 results about "Light equipment" patented technology

The invention discloses a remote regulation and control LED lighting system based on the Internet of Things, and relates to the technical field of LED lighting systems, comprising an LED lighting equipment module which comprises an efficient lamp, a microcontroller, an Internet of Things communication module, a remote control terminal module supporting multi-protocol and encryption, having Mesh networking, a multi-terminal control, having multiple functions and innovation formulas, and a sensor module; the intelligent LED lighting control system has the advantages that environment information is collected, the data management and analysis module stores and analyzes data, energy-saving management and the like are achieved, all the modules work cooperatively, and the functions of remote intelligent regulation and control, fault self-inspection, butt joint with other systems and the like of LED lighting are achieved. Through collaborative innovation of multiple modules, remote intelligent regulation and control of LED lighting are realized, the lighting quality and user experience are improved, energy is saved, consumption is reduced, the system has the functions of fault self-checking and alarming and the like, the reliability and compatibility of the system are improved, and the diversified requirements of modern lighting systems are met.

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

The invention provides a highway tunnel intelligent illumination control method and system, and the method comprises the steps: collecting a real-time perception data set of a plurality of monitoring nodes in a target tunnel, covering a light source operation parameter, an illumination intensity parameter and an environment state parameter sequence, carrying out the feature extraction of the real-time perception data set, and carrying out the feature extraction of the real-time perception data set; generating a global feature set including light source operation stability, regional illumination coordination and environmental coupling influence features, and then inputting the global feature set into a preset dynamic decision model for strategy decision to obtain a multi-stage illumination regulation and control strategy set covering different regions, including target brightness, dimming time sequence and equipment cooperation parameters; and finally, generating an executable instruction set according to the multi-stage illumination regulation strategy set, issuing the executable instruction set to each partition illumination control terminal, and triggering adaptive dimming of the illumination equipment, thereby realizing intelligent management and control of tunnel illumination, improving an energy-saving effect and illumination quality, and ensuring driving safety.

The invention relates to a light control method and system based on a holographic interactive projection technology, and the method comprises the steps: projection region recognition, user interaction detection, light parameter calculation and light real-time regulation and control, the projection region recognition, scanning of a target region through a holographic projection device and a depth induction sensor, and generation of a three-dimensional space model of an environment; a motion capture device and a deep learning algorithm are used for carrying out real-time recognition on gestures or motions of a user, interaction intentions and priority ranking are generated, a holographic projection device is used for generating a three-dimensional environment model, the motion capture device recognizes the intentions of the user, and an illumination optimization model is used for calculating regulation and control parameters; and the output of the light equipment is dynamically adjusted, so that high-precision and intelligent light control is realized, and the problems that a traditional light control method is insufficient in environment perception capability, lacks a user interaction mode, is limited in flexibility and adaptability of light regulation and control, and lacks a multi-module cooperative working mechanism are solved.

The invention discloses a tunnel traffic control method and system for multi-mode traffic variable analysis, and relates to the field of general control or regulation systems, and the method comprises the steps: obtaining vehicle operation state information and pollutant concentration distribution data, determining a pollutant generation region based on a vehicle state, and calculating a concentration gradient value and a diffusion rate value. And analyzing the concentration change trend according to the spatial-temporal distribution relationship, and dividing a vertical control region. And setting initial operation parameters of the jet fan in a preset adjustment range and a step length according to the pollutant distribution characteristics of each area. And monitoring area concentration distribution in real time, when a target area exceeds the standard, dynamically adjusting fan parameters of the area and an adjacent area to preset values, and setting illumination parameters of illumination equipment in the vertical control area according to pollutant concentration distribution characteristics. By implementing the method, the accuracy of tunnel partition environment parameter adjustment can be improved.

The invention relates to the technical field of automatic induction, and discloses an automatic induction lamplight angle adjustment control method and device and lighting equipment. The method comprises the following steps: acquiring ambient light parameters in real time to obtain ambient light sensing data; performing multi-scale space division and feature fusion on the ambient light sensing data to obtain a three-dimensional ambient light distribution diagram; inputting the three-dimensional ambient light distribution diagram into a light angle calculation network for light change characteristic analysis to obtain a light optimal angle parameter group; performing smooth transition light sequence calculation according to the light optimal angle parameter group and the current light configuration state to obtain a sectional light adjustment control instruction; and performing motion path planning on the end effector of the lamp based on the sectional light adjustment control instruction to obtain an effector motion instruction set. According to the invention, light change characteristics of different spatial scales can be captured at the same time, and the adjustment accuracy and adaptability of the actuator are improved.

Apparatus and methods for lighting. The apparatus may include a retention body. The retention body may be retained in a housing. The apparatus may include a rotatable body. The rotatable body along with the retention body may define a central axis. The rotatable body may rotate relative to the retention body. The apparatus may include an articulating body. The articulating body may include a light emitting diode (“LED”) light source. The articulating body may tilt relative to the rotatable body. In operation the LED light source may generate heat. The housing, the retention body, the rotatable body and the articulating body may dissipate the heat. The housing, the retention body, the rotatable body and the articulating body may dissipate the heat so that the housing has a surface temperature that does not a predetermined maximum surface temperature.

A system (11) for controlling a set of one or more lighting devices (31-32) based on an analysis of audio and / or video content and / or based on a light script associated with the audio and / or video content is configured to receive an audio and / or video signal from a source (43-45), determine an identifier of the source, and select the set of one or more lighting devices from a plurality of lighting devices (31-34) by selecting a set of one or more lighting devices associated with the identifier of the source. The audio and / or video signal comprises the audio and / or video content. The system is further configured to determine light effects based on the analysis of the audio and / or video content and / or based on the light script associated with the audio and / or video content and control the selected set of one or more lighting devices to render the light effects.

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

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

The invention relates to the technical field of environment automatic control, in particular to an environment regulation and control method and system for automatic control of a breeding house, and the method comprises the following steps: setting the operation parameters of a temperature and humidity controller and lighting equipment in the breeding house, adjusting the equipment to an initial state, checking that the parameters meet the standard during starting, and generating a baseline environment configuration. According to the invention, through environment monitoring and dynamic adjustment strategies, accurate and automatic breeding house environment control, management efficiency and animal welfare are improved, operation parameters are set and verified to be in a standard range during starting, errors are reduced, an optimal environment is maintained, key parameters such as temperature and humidity are continuously tracked, future changes are reflected and predicted in time, and the system is suitable for large-scale popularization and application. The control strategy is adjusted in advance, potential hazards to animals are avoided, equipment is adjusted according to the change trend, resource use is optimized, energy consumption is reduced, the environment needed by the animals is guaranteed, diseases are reduced, higher flexibility and accuracy are achieved for coping with sudden changes, and breeding efficiency and animal welfare improvement are guaranteed.

The invention relates to the field of illumination control, and discloses a regional illumination control method and system, and the method comprises the steps: obtaining the equipment state information, illumination intensity and personnel image information of each sub-region of a target region; the sub-regions are determined based on the building layout and function purpose division of the target region; identifying a personnel activity type and a personnel position based on the personnel image data; obtaining a static illumination demand of each sub-region of the target region; the static illumination demand comprises a brightness value and a color temperature; inputting the personnel position, the personnel activity type, the illumination intensity and the static illumination demand of each sub-region into an illumination demand prediction model; the illumination demand prediction model outputs an expected illumination demand of each sub-region; and generating a lighting control strategy for an optimization target based on the expected lighting demand of each sub-region in combination with the lighting comfort and the service life of the lighting equipment. The method has the following effect that the light requirements of people in different activity scenes are met.

A lighting apparatus includes a back cover, an annular structure and a light module. The annular structure has surrounding wall. The surrounding wall defines a top opening. The back cover conceals the top opening. The annular structure has a bottom rim extended outwardly from a bottom border of the surrounding wall. The annular structure and the back cover are fixed as a unit to conceal the installation opening. The annular structure and the back cover are made of a fireproof material. The back cover and the annular structure defines a container space. The light module is stored within the container space. The surface rim conceals the installation opening. The bottom ring is between the surface rim and an edge border of the installation opening.

The invention relates to the technical field of self-adaptive control, in particular to an operation period building energy-saving low-carbon control method and system based on artificial intelligence, and the method comprises the following steps: collecting and analyzing the room use condition and illumination intensity, and obtaining an activity type recognition result; according to the invention, based on real-time analysis of room use conditions and illumination intensity, use modes of different areas are identified, and in combination with natural light changes and indoor activity requirements, required illumination intensity and color temperature adjustment parameters are dynamically calculated, so that accurate matching of illumination environments is realized. A dynamic feedback mechanism is established by monitoring the adjustment state of the lighting equipment in real time in combination with the change of the room use mode, the lighting deviation is adaptively corrected, and energy waste is avoided. By introducing reinforcement learning, the ventilation strategy can be continuously optimized through historical data and real-time feedback, personalized air quality management is achieved, and single adjustment is not executed based on a fixed threshold value.

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

A work light includes a housing having a first housing portion and a second housing portion, a lighting unit coupled to the first housing portion and configured to move, and a clamp mechanism. A battery receptacle is coupled to the housing and is configured to receive a battery that provides power to the lighting unit for illuminating a work area. The clamp mechanism is configured to secure the work light in a location on or adjacent to the work area. The clamp mechanism includes a first jaw formed on the first housing portion, a second jaw formed on the second housing portion, and a hinge that biases the first housing portion relative to the second housing portion. A handle extending from the first housing portion is graspable to move the first housing portion relative to the second housing portion against a bias of the hinge to open the clamp mechanism.

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 discloses a dynamic resource allocation system and method for smart travel. The system comprises a multi-source data acquisition module, a data fusion module, a prediction module, a framework construction module, an algorithm optimization module, a feedback module and a resource allocation module. According to the method, environment data, energy consumption data, renewable energy supply data and tourist flow data in a plurality of sub-regions of the tourist attraction are collected, and fusion and deep learning prediction are carried out on the data, so that future energy consumption, energy supply and flow data are obtained. And a reinforcement learning scheduling framework is constructed, and intelligent scheduling of the charging pile, the electric sightseeing vehicle, the lighting equipment and the monitoring equipment is realized. And carrying out global optimization on the resource scheduling scheme by adopting a speed pause particle swarm optimization algorithm so as to output a resource allocation scheme with optimal energy consumption. The scheduling scheme is further optimized based on user feedback data, and the dynamic adaptability of resource configuration is ensured. According to the invention, the energy utilization efficiency in the smart travel scene is improved, and the operation cost is reduced.

The invention is suitable for the technical field of lighting equipment, and provides a miner lamp dynamic lighting control method and system, a storage medium and a miner lamp, and the method comprises the steps: collecting the current image data of the current environment, and extracting the actual illumination intensity distribution in the current image data; performing image decomposition on the collected current image data to obtain a reflection component and an illumination component, performing reflection enhancement on the reflection component, and performing illumination adjustment on the illumination component; re-synthesizing the reflection component after reflection enhancement and the illumination component after illumination adjustment to obtain target image data, and extracting target illumination intensity distribution in the target image data; and according to the actual illumination intensity distribution in the current image data and the target illumination intensity distribution in the target image data, dynamically adjusting the illumination brightness of each group of light sources in the mine lamp. According to the invention, the problem that the illumination quality and the image acquisition quality are poor under the existing low-illumination condition is solved.

The invention relates to the technical field of illumination control, in particular to an LED illumination efficiency optimization method and system, and the method comprises the following steps: recognizing an illumination use mode and a change trend of an environment condition based on real-time external environment data and historical LED illumination operation data, and obtaining an environment and operation data analysis result. According to the invention, prediction analysis is carried out on the LED illumination demand through the Gaussian process regression model, accurate prediction of the illumination demand under differentiated environmental conditions and time periods is realized, the responsiveness and adaptability of the illumination equipment are improved, the illumination control decision process is optimized by comprehensively considering the real-time external environment data and the historical illumination operation data, and the accuracy of the illumination control decision process is improved. The introduction of the hybrid dynamic Bayesian network enhances the real-time evaluation capability of the energy efficiency state of the LED lighting equipment, so that the energy efficiency management is more precise and efficient, and the use of a multi-objective optimization strategy provides a more comprehensive solution for balancing the energy efficiency, the illumination quality and the user comfort.

The invention discloses a smart city energy management system based on energy conservation and emission reduction, and relates to the technical field of smart city energy management. By using an intelligent sensor group, illumination related data of illumination equipment is obtained, an illumination related data set R is constructed, and a light attenuation factor Gs, a convective heat transfer index DL and a use intensity factor Qd are extracted; the method comprises the following steps: dynamically evaluating the thermal load intensity of an urban area, scientifically dividing thermal risk grades, combining performance brightness prediction and control strategy matching to realize subarea and lamp-divided refined dimming control, using a feedback self-evaluation and optimization regulation and control mechanism, carrying out power reestimation and strategy alternation on an area with a substandard control effect, and carrying out power control on the area with the substandard control effect. Redundant energy consumption is effectively reduced, heat accumulation is restrained, and the lighting efficiency and the environment comfort degree are improved.

The invention discloses an excavation part surrounding rock image-based blasting parameter real-time adjustment technology, which comprises the following working steps of: S1, equipment selection and arrangement: selecting photographic equipment with a frame rate of 100,000 frames per second and a resolution ratio of 4K or more, arranging a plurality of cameras to shoot a blasting process from different angles, and then configuring strong lighting equipment, and a strain sensor, a vibration sensor, a pressure sensor and a sonic sensor are installed, and blasting data are collected in real time. By improving the performance of the high-speed photographic equipment and applying technical means such as a three-dimensional reconstruction technology, a real-time feedback control system, AI auxiliary analysis, sensor fusion, numerical simulation, unmanned operation and the like, the precision and efficiency of researching the expansion rule of the blasting crack can be further improved. According to the improved technology, more accurate and dynamic support is provided for blasting design, blasting damage control is optimized, and the safety and efficiency of engineering application are improved.

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.

Various embodiments of dual-powered lighting devices are described. In some examples, the device includes a light source, a first power source, a second power source, and one or more switching devices. The switching device switches between the first power source and the second power source to power the light source.

The invention provides a load balancing method for intelligent lighting collaborative management and related equipment, and the method comprises the steps: collecting the environment parameters of each lighting region in real time, and carrying out the preprocessing of the environment parameters; inputting the preprocessed environment parameters into a preset deep neural network model, and determining a load prediction sequence of each illumination area; judging the load state of each lighting area according to the load prediction sequence; based on the load state and the real-time environment data, generating a multi-region collaborative dimming rate set through a region layering collaborative strategy; and performing illumination control on the illumination equipment in the target illumination area according to the multi-area cooperative dimming rate set. Through the implementation of the scheme of the invention, intelligent dimming control under cross-region, dynamic perception and prediction driving is realized, and the dynamic adaptive capacity and the load control precision of the illumination system are improved.

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

The present invention relates to a home appliance comprising: a cabinet having a storage space; and a door configured by a door body for opening or closing the cabinet and a panel assembly detachably mounted to the door body, wherein the panel assembly includes: a panel forming the front surface of the door; and a lighting device provided behind the panel, and the door body is provided with a grounding member for inducing static electricity generated in the panel assembly to the door body.

A lighting fixture, a lighting device, a light source component, a lampshade, and a fixing base are provided. The lampshade is disposed around an exterior of the light source component, the lampshade includes a first lampshade body and a second lampshade body, the first lampshade body is detachably connected to the second lampshade body. The fixing base is detachably connected to the first lampshade body and the second lampshade body, and is configured to fix the first lampshade body and the second lampshade body. The lighting fixture and the lighting device are capable of reducing space required for transportation and storage and further improving logistics efficiency.

The invention discloses an intelligent lighting equipment maintenance management system based on data analysis, and belongs to the technical field of equipment maintenance management, and the system comprises a data obtaining module which obtains associated data related to lighting equipment from a plurality of data sources; the transmission module is used for transmitting the acquired associated data to the central management platform; the central management platform carries out unified preprocessing on the associated data and then carries out analysis according to the associated data so as to judge whether the lighting equipment is abnormal or not, and the central management platform comprises a real-time judgment unit, an early warning analysis unit and a power consumption detection unit; and the maintenance adjustment module executes a corresponding strategy according to a judgment result. The power consumption condition of each lighting device can be judged, when the power consumption is abnormal, the power of the lighting device can be dynamically adjusted according to the intensity of natural light of the environment, and resources can be greatly saved under the condition that normal use of the lighting device is guaranteed.

The invention discloses an intelligent courtyard ecological collaborative management system and method. The system comprises a sensing layer, a control layer and an execution layer. The sensing layer is provided with a multi-mode sensor array, comprises an environment monitoring module, an equipment state monitoring module and a biological recognition module, can collect multi-mode data such as illumination, temperature and humidity, equipment operation parameters and plant growth states, and transmits the multi-mode data to the control layer through wireless communication. The control layer adopts a federated learning framework to fuse multi-modal data, extracts features through a deep residual network, generates an environment state matrix by using an attention mechanism, and operates a Markov decision model to output a decision control command and a response level. And the execution layer adjusts the on-off state and operation parameters of the regulation and control equipment according to the output, so that intelligent cooperative control of the irrigation system, the lighting equipment and the like is realized. According to the system, through multi-modal data acquisition and deep fusion analysis, comprehensive perception and accurate regulation and control of the ecological environment of the courtyard are realized, and the management efficiency and the resource utilization rate are improved.