796 results about "Led array" patented technology

The invention discloses an LED street lamp multi-scene intelligent regulation and control method and system for road illumination. The method comprises the steps that environment sensing parameters and equipment state parameters are collected; constructing a dynamic light scattering model according to the environment perception parameters and the equipment state parameters, predicting effective illumination distribution from the LED light source to the road surface in the current environment, and generating an LED spectrum compensation strategy; the real value of effective illumination distribution from the LED light source to the road surface is monitored in real time, the deviation between the real value and a predicted value is analyzed, and if the deviation exceeds a preset threshold value, the light attenuation coefficient, the road surface equivalent reflectivity and the LED working temperature are calculated in a reverse iteration mode according to the deviation so as to update the LED spectrum compensation strategy; and generating a PWM (Pulse Width Modulation) driving signal according to the updated LED spectrum compensation strategy, controlling the duty ratio of each sub light source in the LED array, and dynamically adjusting the LED spectrum distribution. According to the method, the LED operation parameters are dynamically regulated and controlled through the deviation between the true value and the predicted value of the effective illumination distribution, the light attenuation is compensated in real time, the spectral efficiency is optimized, and the LED power consumption is reduced on the premise of ensuring the illumination quality.

The invention relates to the technical field of intelligent spectrum tuning, in particular to an intelligent spectrum tuning code scanning auxiliary lighting method, system and device and a medium. The method comprises the following steps: firstly, monitoring environment illumination intensity, color temperature and a light incident angle in real time through an illumination sensor, and meanwhile, detecting a spatial position relationship between a two-dimensional code and equipment by utilizing a distance sensor; the system performs intelligent analysis according to the real-time parameters, determines an optimal light supplementing strategy, and controls the RGBW LED array to output a corresponding spectrum combination; the system continuously monitors the scanning effect after light supplementation, and dynamically adjusts light supplementation parameters by evaluating the definition and contrast of the two-dimensional code until the optimal scanning state is reached; the environment illumination parameters and the spatial position parameters are combined for comprehensive analysis, and the RGBW LED array is adopted to realize adjustable spectrum output, so that the influence of the outdoor complex illumination environment on two-dimensional code scanning can be effectively overcome, and the payment efficiency is remarkably improved.

The invention provides a cylindrical battery pole piece coating uniformity detection method based on machine vision, and relates to the technical field of machine vision, and the method comprises the steps: obtaining a multi-angle image, and carrying out the cylindrical surface expansion; carrying out polar coordinate gradient continuity analysis on the annular expanded image, extracting continuity characteristics of a seam, and adaptively adjusting light emitting parameters of the LED array to obtain an optimized image; coating edge contours, surface texture directivity and density distribution characteristics are extracted in a polar coordinate domain and a Cartesian coordinate domain, and a coating uniformity evaluation standard is established; and constructing a hierarchical feature fusion network comprising a polar coordinate attention module and a space attention module, carrying out adaptive weighted fusion on the annular features and the axial features, comparing a fusion result with theoretical coating uniformity distribution calculated based on coating process parameters, and outputting a detection result. According to the method, the accuracy and interpretability of coating uniformity detection of the cylindrical battery pole piece are improved, and a theoretical basis is provided for process optimization.

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 UHPC decorative plate pressing quality detection method based on vision, and relates to the field of material detection, and the method comprises the steps: carrying out the internal reference calibration of a multispectral camera through a Zhang Zhengyou calibration method, improving the angular point coordinate precision of a calibration plate, and generating a detection pixel coordinate; the detection pixel coordinates of the ultraviolet band and the near-infrared band are aligned to the detection pixel coordinates of the visible light band through affine transformation, and the internal reference calibration comprises the step of detecting the angular point coordinates of a calibration plate; the illumination uniformity is judged, and the inclination angle and the exposure time of the LED array are adjusted; collecting a multispectral image, wherein the multispectral image comprises a visible light image, a near-infrared image and an ultraviolet image; calculating normalized reflectivity according to the detection pixel coordinates, screening out candidate defect areas, and generating a fused multispectral image based on the normalized reflectivity; through the calculation of the affine transformation matrix, the problem of large cross-band geometric deviation of the multispectral image is solved.

The invention discloses an intelligent identification system for puffed corn, and relates to the technical field of computer vision and image processing, and the system comprises an image collection module which integrates multispectral imaging and a near-infrared sensor and is used for obtaining surface morphology, internal structure and moisture content data of puffed corn; an environment light intensity sensor and an LED array are arranged in the self-adaptive optical compensation module, the wavelength and illumination intensity of a light source are adjusted in a closed-loop feedback mode, and color feature deviation caused by workshop environment light changes is compensated; the image processing module is used for deploying a lightweight hybrid neural network model and is used for adhesive particle segmentation and defect detection; the real-time sorting control module is used for driving a three-axis mechanical arm and a pneumatic spray valve according to an identification result so as to realize defective product rejection and grade subpackaging; and the digital twinning optimization platform is used for outputting a process adjustment suggestion to the production line PLC. According to the invention, through the holographic sensing network, the hybrid intelligent decision and the cross-domain cooperative control, the problems of inaccurate reading, unquick judgment and inaccurate control in puffed corn identification are solved.

A horticultural lighting device includes an LED array with multiple LED channels of different wavelengths, each having one or more LEDs. A voltage regulator supplies at least one LED channel with a constant voltage. A processor produces a PWM signal for a driving circuit coupled with the LED channels. In some cases the processor operates a tuning circuit to adjust the constant voltage thereby adjusting an intensity of the one or more LEDs of the one or more LED channels. A lighting system has multiple lamps, each with a zero cross detector that generates a timing signal based on an AC input signal. The PWM signal of each lamp has a frequency that is a multiple of the AC frequency. A method for lighting a facility includes generating a light recipe based on sensor data with an AI engine with one or more neural networks.

The invention discloses a dual-light registration and infrared camera calibration method, which comprises the following steps of: synchronously acquiring a visible light image and an infrared image, and acquiring multiple groups of dual-light image pairs under different distances within a preset object distance range; cross-modal feature key points are extracted, a matching corresponding relation is established, registration parameters under object distances are generated, and a dynamic compensation database is constructed; lead arrays are embedded in a plurality of horizontal edges and a plurality of vertical edges of a traditional checkerboard calibration plate, and leads are driven to generate uniform heat radiation; checkerboard corner coordinates are accurately extracted based on developed heating side lines in the infrared image, a real-time target detection model software deep learning model is utilized to construct a multi-scale feature fusion network, and combined geometric fitting is carried out on checkerboards in the bimodal image; and carrying out adaptive region segmentation on the fitted checkerboard, and reconstructing a black and white alternate state of the visible light checkerboard. The technical problem of registration failure in a complex environment can be solved, and the stability and repeatability of calibration are improved.

The invention discloses a multipath effect suppression method for indoor visible light positioning, relates to the technical field of indoor visible light communication and positioning, and aims to solve the problems in the prior art, the method comprises the following steps: constructing a fractional order chaotic signal generator and starting to generate a chaotic sequence signal; the chaotic sequence signals are modulated and loaded to an LED array and a driving circuit thereof, and optical signals carrying fractional order chaotic characteristics are generated and transmitted; after being propagated indoors, the optical signal is acquired by a photoelectric detector, is preprocessed and then is transmitted to a field FPGA (Field Programmable Gate Array); in the FPGA, based on a compressed sensing theory, modeling the received signal and constructing an adaptive sensing matrix to obtain a compressed observation signal; iteratively recovering sparse channel response from the compressed observation signal by adopting a path focusing guide orthogonal matching pursuit algorithm; and the FPGA extracts main path information from the reconstructed sparse channel response, and calculates a final positioning coordinate in combination with an arrival time positioning model. And in indoor visible light positioning, the method has a good capability of resisting a multipath effect.

The invention relates to the technical field of dust concentration detection, in particular to an online detection method and system based on limited space dust concentration, and the method comprises the following steps: based on each detection area, analyzing scattered light signals, classifying the scattered light signals into different particle size categories according to angles and coordinates, and performing signal compensation in combination with real-time humidity; adjusting the irradiation direction of the LED array to optimize illumination distribution, comparing light intensity differences, dynamically scheduling uniform illumination areas, subdividing detection points, analyzing layering signals, and obtaining particle size layering concentration data. According to the invention, distribution mapping with distinct particle size category difference is realized by using a spatial multi-dimensional layered structure, signal adaptability is improved by fusing a humidity dynamic response mechanism, particle size, humidity and illumination multi-source data are dynamically fused, local environment interference is eliminated through layering and compensation linkage, and the accuracy of the system is improved. The continuity of data expression and the response speed of concentration monitoring are improved, and continuous dynamic tracking of the dust state in a limited space complex environment is supported.

The invention discloses a display screen fault detection and repair method based on a Mini LED array, and the method comprises the steps: carrying out the real-time fault detection: carrying out the optical detection of each pixel of a Mini LED array display screen through a high-resolution multispectral sensor and a deep learning algorithm, obtaining the brightness, color temperature, color difference and spectrum information of the display screen in real time, carrying out the comprehensive fault monitoring of the display screen, and carrying out the real-time fault detection. Comprising defects of bright spots, dead points, uneven brightness and the like, and deep learning fault analysis: carrying out automatic processing on pixel data collected in real time by adopting deep learning algorithms such as a convolutional neural network (CNN) and the like. According to the display screen fault detection and repair method based on the Mini LED array, through adoption of a high-resolution multispectral sensor, sub-nanometer level detection can be realized, any tiny defect in the Mini LED array can be accurately captured, and the sensitivity and the accuracy of fault detection are remarkably improved. Through the assistance of the deep learning algorithm, the fault pixel type can be intelligently identified, the identification accuracy is improved, and false alarm and missing report are reduced.

The invention relates to the field of fan control, in particular to a fan wired integrated control system. The control panel is provided with a plurality of cooling fans, the independent control box is electrically connected with the control panel through a cable, the control box comprises a multi-path RD signal processing module, a dial switch array, a state indication module, a fault output interface, a programmable speed regulation module and the like, and the control box is further provided with an RS485 communication interface and the like. A physical switch of the dial switch array correspondingly controls the state monitoring function of the cooling fan, the double-color LED array indicates the running state of the fan, and a fault output interface is uploaded to an upper computer through an interface circuit when the fan breaks down. Effective control and state monitoring of the fan are achieved, the state of the fan can be adjusted according to actual requirements, the effects of electrical isolation, rapid fault response and the like are achieved, meanwhile, the communication rate is adjustable, and the system adapts to different application scenes.

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

The invention discloses a three-magnification double-telecentric light path object detection system and method. A detection part is arranged between a light source module and an object space telecentric light path module; the light source module comprises a white light annular LED array light source set and an adjustable grating arranged on one side, and a light uniformizing piece is arranged in the white light annular LED array light source set. Light emitted by the array light source group is homogenized by the built-in light homogenizing sheet and then forms uniform light beams through the adjustable diaphragm, and the uniform light beams are projected to the surface of a detection part; a light path switching mechanism is arranged on one side of the object space telecentric light path module, and the object space telecentric light path module comprises a low-magnification object space light path, a medium-magnification object space light path and a high-magnification object space light path; the light path switching mechanism is used for switching any one of a low-magnification object space light path, a medium-magnification object space light path and a high-magnification object space light path to enable light rays to be projected to the beam splitter prism, ambient light is removed through the beam splitter prism, and the transmitted light rays are transmitted towards an image space telecentric light path to enable the light rays to be projected to the industrial camera for imaging.

The invention provides an LED instrument navigation information synchronization and display method and system based on Bluetooth interconnection and a medium, and belongs to the technical field of intelligent vehicle-mounted electronics. The method comprises the following steps: generating a structured navigation data set through a navigation application, establishing multi-channel connection based on a Bluetooth 5.0 protocol, and transmitting data by adopting a time division multiplexing mechanism; after the vehicle-mounted terminal receives the data, integrity verification is carried out, a vector graph is restored according to a geographic information frame, and display content is dynamically screened in combination with vehicle real-time state parameters; and fusing the navigation information and the road feature layer by using a hardware acceleration rendering engine to generate a signal for driving the LED array display device. According to the invention, through the technologies of dynamic traffic data access, adaptive frequency modulation, priority data scheduling and the like, efficient synchronization and accurate display of navigation information are realized, and the real-time performance, the reliability and the user experience of the vehicle-mounted navigation system are improved.

The invention discloses an indoor positioning method based on optical AOA and ultrasonic auxiliary wave distance measurement, a plurality of groups of acousto-optic combined positioning systems are deployed in each indoor direction, each positioning system comprises an ultrasonic transmitter, an ultrasonic receiver, an LED array, a detector array and a microcontroller, and each microcontroller is connected to a terminal; the LED array performs frequency modulation on the optical signals, the ultrasonic transmitter performs pulse modulation on the ultrasonic signals, and the detector array receives the optical signals from the LED array, records the arrival angle when the optical signals arrive and corrects the arrival angle; the ultrasonic receiver receives the ultrasonic signal, and the distance R between the target point location and the ultrasonic receiver is determined by measuring and calculating the time difference of signal propagation; and the position of the target point location in the three-dimensional space is determined according to the corrected arrival angle and the distance R, a self-adaptive dynamic weighting hybrid filtering algorithm is operated, the space coordinate point location of the target point location is obtained, and indoor positioning of the target point location is achieved.

The invention relates to the technical field of corrugated board detection, and particularly discloses a corrugated board stacking defect detection method and system based on machine vision, and the method comprises the steps: carrying out the time-sharing triggering of a side annular LED array light source and a top vertical diffusion light source of a stacking transmission line, and enabling an industrial CCD camera to synchronously obtain reflected light, transmission light and visible light channel images; fusing image features to generate a defect response map; eliminating corrugated texture interference through adaptive Gaussian filtering; dynamically adjusting high and low thresholds based on the maximum value proportion of the defect response map in combination with illumination; segmenting and merging candidate defect areas and calculating initial stacking defect indexes; and eliminating illumination artifacts in combination with the structural similarity index to finally obtain a real defect index. According to the method, the stacking defect detection accuracy is effectively improved, the missed and false alarm rate is reduced, the detection requirements of illumination fluctuation and bent edge washboard defects can be met, and the production quality control requirements of corrugated boards are met.

The invention discloses a smoke alarm device and an alarm control method, and particularly relates to the technical field of fire-fighting alarm devices.The device comprises a shell, and a multi-mode sensor module is arranged in the shell and used for collecting parameters in the environment in real time and generating detection signals; the data processing unit is electrically connected with the multi-mode sensor module through an I2C bus and is used for performing multi-dimensional analysis on the detection signal and generating an alarm decision instruction; the grading alarm module is used for receiving the alarm decision instruction through a GPIO (General Purpose Input / Output) interface; wherein the grading alarm module comprises a visible light warning assembly which comprises an RGBLED array and a laser projector and is used for generating a visual alarm and escape guidance; the sound wave generating device is used for transmitting a directional frequency-adjustable sound wave signal; the wireless communication module is electrically connected with the data processing unit; the invention aims to solve the problem that a smoke alarm device in the prior art can only play a role in warning and cannot effectively guide evacuation of users.

The invention discloses a self-adaptive underwater single-pixel imaging technology based on Fourier modulation, belongs to the technical field of computational optical imaging, is used for ocean detection and improvement of ocean surveillance and defense efficiency, and adopts a self-designed LED array to replace an expensive DMD and a four-quadrant detector composed of common photodiodes to replace an expensive barrel detector. And high-speed illumination and parallel acceptance are realized while the cost is greatly reduced. The technical route comprises a high-speed underwater single-pixel imaging device, a high-speed Fourier single-pixel imaging algorithm and an adaptive sampling strategy based on Fourier single-pixel imaging. The high-speed single-pixel imaging device comprises a self-designed LED array light modulation module, a converging lens module and a receiving module. The high-speed Fourier single-pixel imaging algorithm comprises a binarization algorithm based on error diffusion and an algorithm based on adaptive compressed sensing. According to the innovative self-adaptive sampling strategy based on Fourier single-pixel imaging, a specific sampling path is generated by fusing circular sampling and random sampling according to the characteristics of an image in a Fourier spectrum, so that Fourier coefficients which have great influence on image quality are acquired as much as possible under water with low sampling rate and high turbidity, and the image quality is improved. Therefore, the high-efficiency imaging of the underwater target object is realized, and the imaging speed and quality are both considered.

The invention provides an automatic illumination adjusting method and system based on seed and seedling cultivation, and relates to the technical field of illumination control and intelligent agriculture, the method comprises the following steps: firstly, collecting seedling chlorophyll fluorescence parameters to construct a light stress index, and accurately identifying a light inhibition risk; then calculating a physiologically permissible light intensity threshold adaptive to the dark response capability of the plant by combining the environment temperature and the CO2 concentration; positioning a shielded weak light area by using three-dimensional point cloud voxelization and a ray tracing technology, and calculating a shadow compensation gain coefficient; and finally, generating a control matrix in combination with a dynamic left-rotation light strategy, and driving an independent addressing LED array and a variable-angle lens to execute local precise light supplement and light vector adjustment. Through physiological feedback and spatial light field reconstruction, the problem that traditional illumination control neglects individual tolerance difference and canopy shielding is solved, photooxidation damage is effectively prevented, and the growth uniformity and the light energy utilization rate of seedling groups are remarkably improved.

The invention discloses a bridge underwater safety detection method based on opto-acoustic dual modes, and relates to the technical field of underwater engineering detection, and the method comprises the following steps: obtaining water area particle size distribution and concentration data by using a multi-frequency acoustic suspended sediment concentration profiler, establishing an environmental parameter database, configuring a shipborne detection device according to the initial environmental parameter database, and detecting the underwater safety of a bridge according to the shipborne detection device. The method comprises the following steps: setting a three-axis stabilized platform carrying a polarization imaging camera and a multispectral LED array, deploying a multi-beam detection module and ADCP equipment, and establishing a unified coordinate system; multi-angle original intensity images are collected through a polarized optical imaging module, and multi-exposure fusion is carried out after processing is carried out through a mutual information minimization algorithm. An optical image and an acoustic point cloud are deeply fused by adopting a graph neural network, the detection precision is improved through dynamic weight optimization of an attention mechanism and a space-time registration algorithm, a multi-index fusion model is constructed based on fuzzy logic and a D-S evidence theory for adaptive early warning decision, upgrading from single-parameter alarm to multi-dimensional decision is realized, and the false alarm rate is reduced.

Provided is a vehicle lamp capable of illuminating a desired region with a desired brightness without a complicated optical system even when a light source includes one multi-divided LED array. The vehicle lamp includes a light source (multi-divided LED array) (3) configured such that a large number of light emitting elements (micro LEDs (31)) are arranged, the light source (3) selecting a light emitting element to emit light of a desired pattern, a main optical system (2) that projects the light emitted from the light source to form a main light distribution pattern, and an auxiliary optical system (4) that causes the light which has been emitted from the light source (3) and does not directly enter the main optical system (2) to enter the main optical system (2). The light incident from the auxiliary optical system (4) (downward reflecting mirror (41)) to the main optical system (2) forms an auxiliary light distribution pattern in an external region adjacent to the main light distribution pattern.

A modular and easily serviced area light is provided. Area lights described herein use a modular fixture design to facilitate in-field serviceability and upgradeability of power, lighting, sensor, and other components. In particular, light fixtures include a housing with an integrated hinge to provide access to sub-assemblies and electrical components without removal of doors, access panels, or other large fixture parts. In this manner, various components can be easily serviced or upgraded, including power circuitry (e.g., light-emitting diode (LED) drivers and / or power converters) and a light engine (e.g., to provide a larger LED array). At least some components may be accessed for service without need for specialty or any tools. In addition, sub-components, such as a power outlet (e.g., a NEMA-rated outdoor receptacle), a sensor, etc., can be installed in-field without needing to replace main fixture components.

The utility model relates to the field of Micro-LED display, in particular to a vertically stacked three-color full-color Micro-LED structure, which is characterized in that the vertically stacked three-color full-color Micro-LED structure comprises a driving circuit, a first chip, a second chip and a third chip are sequentially arranged on one side of the length direction of the driving circuit from top to bottom, and the first chip, the second chip and the third chip are arranged on the other side of the length direction of the driving circuit. The length of the first chip is larger than that of the second chip, and the length of the second chip is larger than that of the third chip, (1) the space occupation caused by transverse tiling in the Micro-LED array is reduced, the pixel density of a display screen is remarkably improved, the area of full-color pixels is reduced, the overall size of the screen is reduced, and the size of the display screen is reduced; according to the invention, the structure is simple, the structure is compact, the structure is simple, the structure is especially suitable for high-precision, high-resolution and miniaturized display equipment, the influence of high-energy photons of blue light or green light on the red light chip is effectively reduced, each chip pole can be directly and vertically connected to the driving circuit at the bottom, the occupied space is reduced, and the problems of complicated pole extension and connection in a traditional stacked structure are avoided.

A light emitting device is provided including a wavelength conversion structure configured to convert electromagnetic radiation of a first wavelength in to an electromagnetic radiation of a second wavelength; a plurality of light sources, wherein at least one light source is configured to emit an electromagnetic radiation of the first wavelength, wherein the plurality of light sources are arranged on or above the wavelength conversion structure; and an optical metastructure configured as optical cavity comprising a resonance frequency at about the second wavelength.

The invention relates to the technical field of optical imaging calculation, and particularly discloses a method for correcting intensity diffraction tomography image surface intensity. Under the condition of LED array illumination, an edge variance value is calculated by using image edge light and shade transition features, and images influenced by the vignetting effect are screened and removed in combination with a threshold condition. And performing AND operation on the position of the lamp bead of which the recorded image is the bright field image and the position of the lamp bead of which the image is influenced by the vignetting effect to obtain the position of the lamp bead of which the exposure time needs to be corrected. According to a linear relation between image plane intensity and camera exposure time, intensity linear coefficient items and constant items at different lamp bead positions are obtained by recording images of two different exposure times under illumination of each lamp bead, and then the exposure time of lamp beads at other positions is calculated according to the image plane intensity and the exposure time during illumination of a central lamp bead. Finally, image plane intensity correction under illumination of different lamp beads is realized, and the reconstruction quality of intensity diffraction tomography is effectively improved.

The invention is suitable for the technical field of display, and provides a display module and a control chip. The display module comprises at least one control chip, an LED array and a plurality of driving chips, the control chip is correspondingly and electrically connected with the driving chips and the LED array, and each driving chip is correspondingly and electrically connected with the LED array. The control chip receives an image signal, processes the image signal, outputs a corresponding control signal and a corresponding data signal to the plurality of driving chips, and outputs a line scanning signal to the LED array; the driving chip outputs a column driving signal to the LED array according to the control signal and the data signal; and the LED array displays an image according to all the row scanning signals and all the column driving signals. According to the invention, only the control chip and the driving chip are included in hardware, related circuits of the decoding chip are reduced, driving signals related to the decoding chip are reduced during application, and the problem of excessive layout of signal lines and the problem of supporting a driving time sequence are solved.

The present invention provides an iterative reconstruction method based on adaptive moment estimation FPM, including S1: Under a low-magnification objective lens, using an LED array as a light source, illuminating the sample by sequentially lighting the LED units in the LED array, and collecting a series of low-resolution intensity images of the sample corresponding to the LED positions; S2: Using each low-resolution intensity image to iteratively update the sub-aperture spectrum information corresponding to the LED positions in the support constraint domain in the matching frequency domain, and completing the high-resolution image restoration based on the adaptive moment estimation-based ptychographic reconstruction framework. The present invention realizes faster and more stable image iterative reconstruction of high-quality adaptive FP in a noise environment by using adaptive moment estimation.

An apparatus includes a light-emitting diode (LED) driver circuit, one or more LEDs of an LED array, and an electronic switching circuit. The LED driver circuit is configured to generate an electric current. The one or more LEDs are electrically connected to the LED driver circuit. The electronic switching circuit is electrically connected to the one or more LEDs and configured to be placed in one of multiple switching configurations. The electronic switching circuit is further configured to direct a portion of the electric current away from the one or more LEDs, such that a remaining portion of the electric current drives the one or more LEDs. The portion of the electric current corresponds to the one of the multiple switching configurations.

The invention belongs to the technical field of wastewater treatment, and particularly relates to a device and a method for quickly removing refractory organic pollutants by utilizing photoelectric synergy and modified foam zero-valent iron to synchronously catalyze ozone. According to the technical scheme, the device comprises a shell, the interior of the shell is divided into an anode chamber and a cathode chamber through a proton exchange membrane, the shell is provided with a water inlet communicated with the anode chamber and a water outlet communicated with the cathode chamber, and the water inlet is communicated with the anode chamber and the water outlet is communicated with the cathode chamber. An anode material and an LED array are arranged in the anode chamber, a cathode material is arranged in the cathode chamber, and the cathode chamber is further filled with a modified foam zero-valent iron catalyst. The invention provides a device and a method for rapidly removing refractory organic pollutants by utilizing photoelectric synergy and modified foam zero-valent iron to synchronously catalyze ozone.