2777 results about "Light equipment" patented technology

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 livestock and poultry health state intelligent evaluation method based on multi-sensor fusion and an AI prediction model, and belongs to the technical field of livestock breeding, and the method comprises the following steps: setting multiple types of sensors in a livestock and poultry breeding area, collecting multi-source data such as temperature, humidity, carbon dioxide concentration, ammonia gas concentration, illumination intensity, weight and current, and carrying out the analysis of the data; wherein the weight data is obtained through the weighing platform, and the current data is used for sensing the operation state of drinking, ingestion, ventilation or lighting equipment; various types of sensors such as temperature and humidity sensors, carbon dioxide sensors, ammonia gas sensors, illumination sensors, weight sensors and current sensors are deployed in livestock and poultry breeding areas, all-directional data acquisition of environments and behavior states is realized, and dynamic modeling and feature extraction of key behavior nodes are realized by introducing a deep neural network structure of a gating circulation unit and an attention mechanism.

The invention provides a wind and light equipment predictive maintenance system and method based on big data and hierarchical weight. The system comprises a data acquisition and edge processing layer, a data management and storage layer, a hierarchical weight analysis and model construction layer and a fault prediction and intelligent decision-making layer. Multi-source data are collected by deploying various sensors, and the multi-source data are transmitted to a cloud for deep cleaning and storage after being preprocessed by edge computing. The index weight of each level is determined by using an improved algorithm, and a fault prediction model is constructed by fusing a plurality of intelligent algorithms. The model combines real-time data and hierarchical weights, predicts the fault probability, type and remaining service life of equipment components, and gives an alarm when a threshold value is exceeded. Meanwhile, a multi-objective optimization model is constructed according to a fault prediction result to formulate a maintenance strategy, and the maintenance strategy is executed after digital twinborn rehearsal, so that the operation and maintenance efficiency is improved. According to the method, multi-source data fusion, accurate fault prediction and intelligent maintenance decision making are realized, the operation and maintenance cost can be effectively reduced, and the equipment reliability and the power generation efficiency are improved.

A lighting device, a controller for the lighting device, and a method for using the lighting are disclosed. The lighting device comprises one or more light sources. The lighting device is configured to operate in a predefined first operation mode wherein the lighting device is configured to emit greenish white light. The greenish white light is white light as defined by ANSI C78.377-2017. The greenish white light has a relative M-cone-opic irradiance of at least 0.393, wherein the relative M-cone-opic irradiance is defined as a ratio between an M-cone-opic irradiance and a sum of an L-cone-opic irradiance, the M-cone-opic irradiance, and an S-cone-opic irradiance as defined in publication CIE S 026 / E:2018.

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

The invention discloses a shaft control red light gain red light golden yellow light single control eye protection lamp, and belongs to the field of lighting equipment. An intelligent control assembly and a power supply assembly are arranged in the base, a folding structure is arranged on the rear portion, a lamp body is arranged at the end of the folding structure, and a light source module is arranged in the lamp body. The intelligent control assembly comprises a main control chip STM32F103C8T6 and is used for controlling the light source module; the power supply assembly comprises a storage battery and a Type-C charging port, and the charging port is connected with the storage battery through a TP4056 charging management chip. The folding structure is hinged to the first supporting plate and the lamp body through any stop rotation damping rotating shafts. The light source module comprises 630-650 nm axis control red light, 610-630 nm gain red light and 3000-3500 K golden yellow light units which are distributed in an array mode. The base is provided with a control touch key and an anti-skid pad, and the lamp body is provided with a frosted acrylic lampshade. The device is scientific in spectrum, convenient to adjust and good in eye protection effect.

A lighting device (10) is provided. The lighting device (10) comprises: a light emitting element (11), and a translucent envelope (20) enclosing the light emitting element (11) and having a surface area at least three times bigger than the light emitting area of the light emitting element (11), wherein the envelope (20) is coated with a layer (22) of phosphor with a thickness of 0.05-1.0 mm and the layer (22) of phosphor is configured to block less than 30% of the visible light emitted by the light emitting element (11).

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

A method for reducing or eliminating shadows and spreading light around a work area or throughout multiple rooms and spaces, without the need to frequently readjust, the system comprised of at least one or more lighting devices, coupled with a set of attachment mechanisms to link or detach additional light sources, a set of electrical connections for power and data transmission, at least one mounting feature, at least one battery and a controller comprising program instructions executed by a processor to cause the lighting device to change modes, brightness and to send the command wirelessly or through connections to additional lighting devices, charge at least one battery and transfer power to additional connected lighting devices.

The invention relates to an illumination equipment anomaly detection and diagnosis method based on artificial intelligence and machine learning, and the method specifically comprises the following steps: deploying a multi-sensor array to collect multi-dimensional physical quantity data in the operation process of illumination equipment in real time, forming time sequence samples, and manually labeling a state label for each sample; through a dynamic mutual information entropy weighting mechanism, calculation is carried out based on the collected data features and fault categories, and a weighting feature matrix is generated; constructing a machine learning-based lighting equipment anomaly detection and fault diagnosis model, inputting the weighted feature matrix into the model, outputting a detection result, then calculating a loss function of the model, carrying out iterative training on the model, and outputting the trained model; and inputting newly collected data into the trained model, carrying out anomaly detection, and outputting a specific fault type. According to the method, the multi-sensor features are fused, the key fault features are strengthened, and the complex fault detection sensitivity and the fault recognition capability can be improved.

The invention discloses a lighting equipment data analysis system and method based on artificial intelligence, and relates to the technical field of data processing and analys.The method comprises the steps that an initial physical structure of a lamp is constructed, and optical parameters of lamp beads are defined; setting the position and size of a detection surface, establishing a light intensity space distribution model, and defining a light intensity uniformity evaluation function; based on Matlab programming, a detection surface is processed through gridding, and light intensity contribution of a single lamp bead to each grid is calculated and superposed; the calculation complexity is reduced by adopting a grouping and row-dividing strategy, an optimal arrangement scheme is solved through an exhaustion method, and uniformity indexes before and after optimization are compared; establishing a light source model by using Traepro, and setting light tracing parameters; and comparing the light intensity and illumination distribution nephograms before and after optimization, quantifying the uniformity improvement effect, and verifying the effectiveness of the algorithm. The method can effectively improve the situation that effective application is difficult due to the fact that the calculation amount is too large when a total exhaustion method is adopted in the prior art.

The invention discloses a building optical intelligent lighting and lighting optimization management system, and relates to the technical field of building energy saving and intelligent control, and the system comprises the following components: a data collection module, a data processing and storage module, an illumination demand prediction module, a control decision module and an equipment execution module. By integrating the data acquisition module, the data processing and storage module, the illumination demand prediction module, the control decision module and the equipment execution module, accurate prediction and optimal management of the indoor illumination demand of the building are realized, and the system constructs an illumination demand prediction model by using a machine learning algorithm. According to the model, multi-dimensional factors such as time, weather conditions, building energy consumption historical data and personnel behavior habit data are comprehensively considered, accurate prediction of indoor illumination requirements in different time periods and under different weather conditions is achieved, and based on the prediction result, the control decision module makes an optimal control strategy and adjusts lighting and lighting equipment.

The invention relates to the technical field of intelligent indoor illumination, and discloses a sunshade and illumination linkage intelligent adjustment method based on environment self-learning, and the method comprises the following steps: constructing an environment feature model representing external light environment features based on collected environment illumination data; based on the intervention behavior of the user, learning to obtain a user preference model reflecting the comfort preference of the user; in combination with the environment feature model and the user preference model, determining a linkage control strategy for the sunshade equipment and the lighting equipment; and according to the linkage control strategy, the sunshade equipment and the lighting equipment are controlled. By adopting a reverse modeling strategy, an environment characteristic model is reversely deduced from actually acquired illumination data, adaptive learning of an external light environment is realized, the implementation threshold and cost of the system are remarkably reduced, and the system can automatically adapt to long-term or temporary changes of a surrounding environment of a building, so that the system is more intelligent and more convenient to use. And the environmental adaptability and robustness of the system are improved.

A variable frost system (100) includes a first arm assembly (102) that includes a first arm structure (114), a first frost component (116), and a second frost component (118), where the first frost component (116) and the second frost component (118) are attached to the first arm structure (114). The variable frost system (100) includes further a second arm assembly (104) that includes a second arm structure (120), a third frost component (122), and a fourth frost component (124), where the third frost component (122) and the fourth frost component (124) are attached to the second arm structure (120). The first arm assembly (102) and the second arm assembly (104) are movable such that one or both of the first frost component (116) and the second frost component (118) and one or both of the third frost component (122) and the fourth frost component (124) are positioned to provide an overall frost lighting effect to a light beam (206).

A lighting device assembly includes an optic assembly having a light source, a housing having a cavity in which the at least a portion of the optic assembly is received, the housing is configured to secure the lighting device assembly to a wall, a ceiling, or a surface, and a heat sink configured to couple the optic assembly to an opening of the housing that defines the cavity. The heat sink includes a hinged aiming mechanism configured to movably couple the optic assembly to the housing to allow the light source to move relative to the housing.

A solid-state lighting fixture assembly having a lighting fixture with a socket configured to receive a plug associated with one or more accessories to allow for easy in-field mounting of accessories, e.g., controls, onto installed lighting fixtures. The socket may be internally electrically connected to an auxiliary power output of a driver and / or to a battery power pack within the lighting fixture assembly, thereby providing direct-current voltage power for the accessory and, also, allowing for signal transmission to and from the accessory. Each accessory includes one or more sensors and communication components to provide the connected lighting fixture assembly with specific capabilities including, but not limited to, motion detection, ambient light level detection, ambient temperature measurement and wireless communications. The wireless communication can also be used to control one or a group of lighting fixtures and transmit sensor data associated with, for example, monitoring space utilization and asset tracking.

For example, a lighting device capable of FOV switching is provided.The lighting device change a projection range of first light and a projection range of second light by causing a light-emitting unit and an optical member disposed on the optical path of the first light and the second light to act differently on the first light and the second light, the light-emitting unit including a first light-emitting element that emits the first light and a second light-emitting element that emits the second light.

The invention discloses an industrial lighting method based on an HPLC broadband power line carrier, and the method comprises the following steps: S1, obtaining all scene information of a factory production line, the scene information comprising lighting demands corresponding to different processes and different time periods of the production line; s2, formulating an illumination strategy according to a corresponding illumination demand, and storing the illumination strategy in the control platform; s3, acquiring data information in the scene through an acquisition module, transmitting the data information to a control platform through an HPLC (High Performance Liquid Chromatography) broadband power line carrier communication module, analyzing the data information through the control platform, calling a proper lighting strategy, sending a corresponding instruction through the PLC broadband power line carrier communication module, and lighting the current scene; in conclusion, the defects in the prior art are overcome, remote control, debugging and maintenance of the lighting equipment can be achieved through the HPLC broadband power line carrier technology, the flexibility and response speed of the lighting system are greatly improved, and the high social use value and application prospects are achieved.

A lighting apparatus includes a plastic cover, a trumpet housing and a light source plate. The plastic cover has an edge portion, a light passing cover and a connection column. The trumpet housing has a widened section and a neck portion. A top end of the neck portion is coupled to a bottom end of the widened section. A diameter of the widened section increases through a tapered transition from the bottom end of the widened section to a top end of the widened section. A light source plate is mounted with a LED module on a front surface. The light source plate is fixed to an inner structure of trumpet housing. The connection column engages the front surface of the light source plate. The edge portion of the plastic engages the top end of the widen section of the trumpet housing.

To provide a power supply device capable of securing an insulation distance from a terminal of a connector to which an external wiring is electrically connected, and a lighting fixture equipped with the same.SOLUTION: The power supply device 1 includes a connector 2, a power supply unit 3, a circuit board 4, a case 5, and a connector cover 6. The connector 2 has terminals 21 to which external wirings L1 electrically connected to the light sources are detachably attached, and which are electrically connected to the external wirings L1 in a state where the external wirings L1 are attached. The power supply unit 3 supplies power to the light sources via the connector 2 and the external wire L1. The connector cover 6 is attached to the inner peripheral edge 531 of the opening 53 of the case 5 and covers at least the terminals 21.SELECTED DRAWING: Figure 1

The invention relates to a collaborative operation and maintenance method and device for port equipment, and relates to the technical field of computer technology, and the method comprises the steps: carrying out the evaluation of the operation risk of the illumination equipment in a future time period through comprehensively obtaining the operation parameters of the illumination equipment, the environment information of a storage yard area, and the division related data of an operation area, and obtaining the operation risk of the illumination equipment; and on this basis, the maintenance emergency degree of each lighting device is comprehensively judged in combination with associated abnormal conditions possibly existing between the devices and the operation arrangement of the areas where the devices are located, so that device maintenance tasks with response priority differentiation are formed and orderly distributed. By adopting the method, the matching degree between the maintenance response and the actual operation arrangement can be improved, the influence of the lighting fault on the storage yard operation can be reduced, and the overall reliability and the operation and maintenance efficiency of the port lighting system in a complex operation environment can be improved.

A low-profile addressable egress lighting luminaire configured to illuminate a plurality of contiguous paths of egress that merge below the luminaire by using a plurality of horizontally positioned laterally rotational light sources, each emitting a directional elongated linear light beam onto a section of an egress path on the surface below.

A lighting apparatus includes a driver housing, and first and second light wings each coupled to two sides of the driver housing. Each light wing includes a lens plate, an LED module for emitting light through the lens plate and out a light opening, a lens entrance for receiving the lens into the light wing, and a lens cover for concealing the lens entrance. The first and second light wings are adjustable with respect to the driver housing.

The invention relates to the technical field of lighting equipment, and provides an intelligent fault diagnosis method and system for LED lighting equipment, for each LED street lamp, extracting multi-dimensional data information of the LED street lamp in a first preset time period from a multi-dimensional state matrix, and determining whether the LED street lamp has a potential fault based on the multi-dimensional data information. If the potential fault exists, generating a pre-selected fault set of the LED street lamp based on the multi-dimensional data information; for each pre-selected fault in the pre-selected fault set, performing extension calendar analysis on the pre-selected fault based on extension structure information of the LED street lamp network to obtain fault influence node information corresponding to the pre-selected fault, and based on the state information of each fault influence node in the fault influence node information in a second preset time period, judging whether the pre-selected fault exists, and if so, determining that the pre-selected fault is a target fault corresponding to the LED street lamp. The method improves the accuracy of fault detection.

The invention relates to the technical field of property intelligent management, and provides a collaborative optimization intelligent lighting system dynamic energy scheduling method, which comprises the following steps: constructing an energy concentrator network of an intelligent lighting system, abstracting lighting equipment of a plurality of projects into an energy concentrator model, wherein each energy concentrator describes a conversion relation between electric energy and luminous flux through a coupling matrix; a multi-objective optimization function with maximization of the electric energy utilization rate as the core is established, the multi-objective optimization function integrates comfort, equipment and power grid constraints, and dynamic configuration is carried out based on operation parameters of the energy hub network; solving the multi-objective optimization function by adopting a two-stage optimization process, generating a reference operation plan and performing rolling correction; and issuing a dynamic dimming control signal to each lighting terminal through an energy concentrator network based on the optimized scheduling instruction obtained by solving so as to cooperatively schedule the electric energy of the intelligent lighting system. Therefore, the cross-region and multi-project intelligent lighting system is optimized in a collaborative manner, and the energy utilization rate is improved.

The invention discloses a supermarket energy-saving lighting lamp with a splicing expansion function, which relates to the technical field of supermarket lighting equipment and comprises a mounting guide rail, mounting fulcrums symmetrically distributed are arranged at the top of the mounting guide rail, an H-shaped partition plate is fixedly connected in the mounting guide rail, and a controller is arranged in the middle of the top wall of the mounting guide rail. Symmetrically-distributed connecting wires are arranged in the controller, symmetrically-distributed wire outlets are formed in the H-shaped partition plate, and symmetrically-distributed interface bases are connected into the mounting guide rails in a sliding mode. Through the design of the standardized clamping connectors and the telescopic electric connecting wires, rapid splicing and space self-adaptive adjustment of the lamp are achieved, and the layout flexibility and the installation efficiency are remarkably improved; the stable clamping type electric connection effectively avoids the risks of resistance fluctuation, sparks and power failure caused by traditional sliding contact, the reliability and safety of the lighting system are improved, and the dynamic lighting requirements of supermarkets and supermarkets are perfectly met.

The arrangements disclosed herein relate to a lighting device assembly includes an optic assembly including a light source, a housing including a cavity in which the at least a portion of the optic assembly is received, a collar coupled to an opening of the housing that defines the cavity. The housing is configured to secure the lighting device assembly to a wall, a ceiling, or a surface. The optic assembly is coupled to the collar. The collar includes an adjustment member configured to adjust, relative to the housing, at least one of a position of the collar, a position of the optic assembly, or a position of the light source.

A portable lighting device control module configured to intuitively adjust lighting operations of a portable lighting device by interpreting real-time user gestures and external conditions of the portable lighting device to modify lighting operations in response thereto. The control module installed within a portable lighting device may be configured to permit automatic dimming of front-end LEDs, enable a low power standby mode in absence of motion being detected, automatic mode adjustments in response to low battery determination, adjustment to lantern mode when a bump gesture is detected, continuous alternation between modes within lantern mode by detecting subsequent bump gestures, exiting lantern mode by detecting orientation, locking the lighting operation to a specific mode by determining orienting as either upwards or downwards, switching between modes by performing twist and return gestures, switching between modes by performing whip gestures, instantaneously dimming the light intensity by twisting the portable lighting device.

The invention discloses an LED lamp energy consumption optimization control method and system adopting an ant colony algorithm, and particularly relates to the field of LED lamp energy consumption optimization control, and the method comprises the steps: constructing a path network model of a multi-node illumination region, obtaining the movement track information of a user in the illumination region in real time through a collection module of LED illumination equipment, and generating path use frequency data; and performing pheromone optimization enhancement processing on the path use frequency based on an ant colony algorithm, and driving an existing illumination control module to select an LED lamp corresponding to the current high-frequency path area to perform activation response. By introducing pheromone attenuation control, a negative pheromone suppression mechanism and a virtual individual tentative activation strategy into a path frequency atlas, outdated paths are identified and suppressed, and new user behavior paths are detected and enhanced, so that time sequence sensitive scheduling of lighting resources and real-time optimal updating of energy consumption configuration are realized, and the optimal scheduling efficiency is improved. And the response capability and the energy-saving efficiency of the system to behavior transition are improved.

A brain control interface system is disclosed. The brain control interface comprises: a brain control interface configured to detect brain signals indicative of brain activity of a user in an environment, an input configured to obtain data indicative of a current light scene of one or more lighting devices in the environment, a lighting controller configured to control the one or more lighting devices, and one or more processors configured to analyze the brain signals to identify a level of noise in the brain signals when the current light scene is active, and, if the level of noise exceeds a threshold, adjust the light scene while monitoring the level of noise until a target level of noise in the brain signals has been established.