978 results about "Electroluminescence" patented technology

The invention relates to the technical field of power supply or power distribution circuit systems, in particular to a photovoltaic module fault monitoring system and method, and the system comprises an acquisition module, a power supply dynamic compensation module, a control optimization module, a power supply module and a digital twin module. The acquisition module acquires multi-source data through the infrared thermal imaging sensor, the electroluminescent detection unit and the current and voltage characteristic curve acquisition module, the power supply dynamic compensation module dynamically adjusts wavelet basis function parameters based on an improved whale optimization algorithm, and the power supply module fuses hot spot distribution, current and voltage abnormity and aging trend data. And driving the dynamic adjustment of the protection threshold. And the digital twin module synchronizes real and virtual system data through transfer learning, rehearses a fault path to generate a maintenance instruction and feeds back the maintenance instruction to an optimization prediction model, so that a monitoring, protection and self-optimization closed-loop system is formed, and the fault diagnosis precision and the system reliability in a complex environment are improved.

The invention relates to the technical field of photovoltaic module detection, in particular to a hot spot detection system and method for a photovoltaic module. Comprises: a multispectral imaging module configured to synchronously collect image data of a photovoltaic module in a visible light band, a near-infrared band and a long-wave infrared band; the electroluminescence analysis module is in signal connection with the multispectral imaging module and is used for acquiring carrier recombination radiation data of the photovoltaic module in a reverse bias state; the dynamic threshold value processing module is configured to establish a dynamic correlation model of the environment parameters and the hot spot characteristic parameters; the three-dimensional reconstruction module is configured to perform spatial registration on the multispectral imaging data and the electroluminescence data and construct three-dimensional temperature field distribution of the photovoltaic module; the defect positioning module is configured to determine the accurate position of a hot spot according to temperature field distribution and carrier recombination characteristics; according to the scheme, a novel detection system architecture with multi-mode collaboration, high dynamic adaptability and three-dimensional analysis capability is constructed.

The invention provides a photovoltaic module maintenance method, medium and system, and belongs to the technical field of photovoltaic module maintenance, and the method comprises the steps: obtaining the multi-dimensional data of a module through infrared thermal image scanning, IV curve testing, electroluminescent imaging, PID attenuation measurement, mechanical load testing and other technologies, and predicting the performance attenuation trend through a deep learning degradation prediction model. The core innovation lies in that a PVDefectNet model is utilized to carry out automatic defect identification on an electroluminescent image, traditional manual interpretation is replaced, health indexes are calculated and health levels are divided through an MPEvalue multi-parameter comprehensive evaluation function, a differentiated overhaul scheme is made based on an objective evaluation result, a repair effect is verified through an MPPT algorithm, and the repair efficiency is improved. The technical problem that the accuracy is not high enough due to the fact that photovoltaic module defect detection often depends on artificial experience is solved.

The invention discloses an unmanned aerial vehicle inspection system and method for a super-large-scale photovoltaic power station, and relates to the technical field of substation inspection, and the system comprises a multi-rotor unmanned aerial vehicle group deployment module, a honeycomb scanning network construction and three-dimensional radiation thermograph generation module, an inspection path dynamic planning module, and a photovoltaic panel inclination angle optimization path optimization module. The fault probability analysis module is used for collecting data through electroluminescence and infrared thermal imaging and generating a fault distribution diagram by fusing a historical defect feature library, the hidden fault recognition module is used for dynamically recognizing fault types in combination with multi-source data and flight instructions, and the intelligent charging docking module is used for carrying out intelligent charging. And adjusting a return flight threshold according to the fault level and battery attenuation and triggering a charging mechanism. The technical problems that in the prior art, a large-scale photovoltaic power station is low in inspection efficiency, insufficient in fault detection precision and poor in environmental adaptability are solved, and the technical effects of improving the inspection efficiency, the fault detection precision and the environmental adaptability through cooperative inspection of the unmanned aerial vehicle group are achieved.

The embodiment of the invention provides an electroluminescent element integrated packaging method and system, and belongs to the field of electroluminescent element integrated packaging, and the method comprises the steps: obtaining integrated packaging demand data, and obtaining a parameterized initial integrated packaging frame model; selecting an electroluminescent primitive combination in combination with the macro model library and establishing an electroluminescent primitive group model; constructing an initial full-parameterization integrated packaging model and setting engineering constraint conditions; light spatial spectrum distribution data are output, light color performance analysis is carried out based on the light spatial spectrum distribution data, and a final full-parameterized integrated packaging model is generated through a collaborative optimization mechanism; and carrying out electroluminescent element integrated packaging according to the integrated packaging engineering package. Through combination of parametric modeling, multi-physics field coupling simulation and a collaborative optimization mechanism, quantitative evaluation and dynamic optimization of light and color performance are realized, and the problems of uneven light and color distribution and insufficient multi-physics field collaboration in the prior art are solved.

The invention discloses an LED (Light Emitting Diode) energy-saving street lamp system self-adaptive to an ambient light effect and an illumination adjusting method thereof, and belongs to the technical field of novel illumination control and green energy conservation. The system comprises a light environment sensing module, a traffic flow monitoring module, an LED driving power supply and an electroluminescent illumination module composed of a plurality of light emitting diodes. The main control module is configured to execute active lighting effect decoupling logic, namely, when the electroluminescent lighting module keeps steady-state lighting, the driving power supply is controlled to inject a micro-disturbance modulation signal which cannot be perceived by human vision into output current, and illuminance response data of the light environment perception module are synchronously collected; the road surface reflectivity coupling coefficient is obtained in real time by calculating the change ratio of the response data to the modulation signal, then the reflected light component excited by the street lamp itself is accurately removed from the total illumination value, and the pure environment background illumination is decoupled. The problems of misoperation and energy waste caused by self-luminous interference of a traditional light-operated street lamp are solved.

The present application relates to a display panel, an electronic device and a display panel manufacturing method. The display panel includes a planarization layer, a sub-anode layer, a pixel define layer, an electroluminescent layer and a cathode layer. The sub-anode layer is configured to control light emission conditions of sub-pixels, and is above the planarization layer. The sub-anode layer has a plurality of separate sub-anodes. The sub-anode has a via hole penetrating therethrough. In the above structure, water vapor can be evaporated outwards through via holes on the sub anodes, so as to avoid the water vapor from being blocked between the planarization layer and the sub anode layer, and further avoid the situation existing in the sub anode layer in which the water vapor rises upwards and forms a protrusion and / or an opening. With the above configuration, it is beneficial to ensure the display effect of the display panel.

The invention relates to a matrix light source having a plurality of elementary light sources with electroluminescent semiconductor elements, and a common substrate in contact with an integrated circuit. The integrated circuit is configured to delay the illumination of the elementary sources for a pre-determined duration following receipt of an illumination command.

The invention discloses a power distribution network insulation defect detection method and system based on an electroluminescent composite material, and relates to the technical field of electrical equipment insulation detection.The method comprises the steps that an electroluminescent gradient doping coating material is prepared and sprayed to the surface of a pretreated detected insulating part; acquiring an electroluminescent signal of the detected insulating part and real-time data of environment temperature and humidity, and performing preprocessing, inputting the preprocessed electroluminescent signal into a pre-constructed light-electric field nonlinear mapping model, performing basic electric field inversion, and performing local correction on a three-combination-point area through a weight factor; global environment compensation is carried out through a pre-trained BP neural network, and a corrected electric field inversion result is obtained; and on the basis of a preset dimensionless electric field index dynamic threshold value, labeling coordinates of an abnormal region in a corrected electric field inversion result in real time, evaluating a defect risk level in combination with weighted D-S evidence, and realizing remote display and early warning of a thermodynamic diagram through a cloud protocol.

The invention relates to the technical field of preparation of organic photoelectric materials, in particular to an organic light-emitting device and a display or lighting device comprising the organic light-emitting device. A hole transport layer compound of the device is obtained by taking a phenyl and alkyl fixed substituted fluorenyl structure as a core fragment and taking a benzo five-membered ring and a limited substituted benzene ring as two side chains of amido, and is matched with a limiting material of a light-emitting auxiliary layer to manufacture an OLED (Organic Light Emitting Diode) element; the light-emitting efficiency and the working life of the organic light-emitting device are effectively improved, and the application prospect is very good.

A user support for motor vehicles includes a flexible cover having a flexible light comprising electroluminescent material that emits light when electrical power is supplied to the electroluminescent material. The user support may include a resilient porous lattice matrix formed by an additive process and may include electroluminescent material disposed on links of the lattice matrix.

The invention discloses a method for testing short-circuit current of a solar cell. The method comprises the following steps: acquiring a first corresponding relation between the photoluminescence intensity of a standard cell under standard illumination intensity and the electroluminescence intensity of the standard cell under open-circuit voltage; providing a battery piece to be tested; irradiating partial areas of the first surface of the to-be-measured battery piece through a plurality of light sources with different wavelengths, and measuring to obtain bright area luminous intensity of a light receiving area and dark area luminous intensity of a non-light receiving area under the irradiation of the light sources with different wavelengths; according to the first corresponding relation and the luminous intensity of each bright area, obtaining basic electroluminescence intensity corresponding to the luminous intensity of each bright area; obtaining the equivalent external quantum efficiency under the irradiation of each wavelength light source according to the basic electroluminescence intensity and the dark space luminescence intensity corresponding to each wavelength light source; constructing a wavelength-equivalent external quantum efficiency curve; carrying out integral calculation on the wavelength-equivalent external quantum efficiency curve to obtain short-circuit current density, and calculating the short-circuit current of the battery piece to be measured according to the area of the first surface.

A vapor deposition system comprising an array of depositors in fluid communication with an ambient inert gas that are held in proximity to substrate carried on a heated conveyance such that the substrate and depositors move relative to each other during deposition. Here, each depositor has one or more delivery apertures that ejects a gas jet including a vapor precursor that chemically reacts with the substrate surface to form a single-molecule thick layer of electroluminescent compound on the substrate. Further, each depositor has one or more exhaust apertures that cumulatively withdraw a greater molar flow of gas than is cumulatively ejected by the delivery apertures in the same depositor.

The invention relates to the technical field of electroluminescent light sources, and provides a self-adaptive LED illumination regulation and control method based on multi-modal environment perception, which comprises the following steps: acquiring multi-modal environment perception data, user feedback data, blue light risk level and user physiological rhythm data; performing space-time alignment on the multi-modal environment sensing data and the user feedback data, performing data enhancement, and extracting a fusion feature vector in an enhanced data set; performing dynamic weighting on the fused feature vector, generating an initial illumination parameter in combination with the weighted feature vector and the user physiological rhythm data, and performing energy-saving optimization on the initial illumination parameter to obtain a target illumination parameter; mapping the target illumination parameter into a pulse width modulation parameter, and determining the phase delay of the micro-lens array according to the personnel distribution characteristics in the fusion characteristics; driving constant-current circuit data according to the pulse width modulation parameters, performing micro-lens beam deflection according to the phase delay of the micro-lens array, and adjusting the optical filter according to the blue light risk level.

The invention provides a high-flexibility stretchable transparent electrode and a preparation method and application thereof, and belongs to the technical field of flexible electrodes. The method comprises the following steps: spin-coating a metal nanowire dispersion liquid on the surface of a glass substrate to form a conductive film; spin-coating a polyrotaxane solution containing double bonds to form a PRA film; coating the elastomer precursor solution to form an elastic substrate; and after curing, stripping the elastic substrate from the glass substrate to prepare the high-flexibility stretchable transparent electrode. The method can be used for an electroluminescent device, a flexible touch screen and wearable flexible electronic equipment for detecting physiological electric signals of a human body. According to the invention, the metal nanowire is used as a conductive material, and isocyanate-modified polyrotaxane PRA is used as a cross-linking agent to be introduced into the nanowire and a transparent elastic substrate; when the electrode is stretched, cyclodextrin in the PRA can freely move on a polyethylene glycol long chain, and the stress concentration problem is effectively relieved, so that the fracture of the nanowire is reduced, the working range of the transparent electrode is widened, and the change rate of resistance is reduced.

The invention discloses a photovoltaic panel defect detection and classification method based on a thermal infrared image, and relates to the technical field of photovoltaic panel thermal infrared detection.The method comprises the steps that S1, a thermal infrared camera carried by an unmanned aerial vehicle is used for obtaining thermal infrared photos of a photovoltaic power station with the longitude, the latitude and the attitude angle; the unmanned aerial vehicle is used for carrying a thermal infrared camera to obtain pictures with longitude, latitude and attitude angle information, and photogrammetry software is combined to generate an image, so that the dependence of electroluminescence detection on special illumination and an external power supply is eliminated, detection work can be carried out in a conventional environment, a photovoltaic panel can be accurately positioned, and the detection efficiency is improved. The problem of difficult positioning caused by a large number of panels and repeated textures is solved, meanwhile, a deep learning algorithm is applied, multiple fault types can be accurately recognized, key information output of fault panels is integrated, detailed basis is provided for operation and maintenance personnel, maintenance work is effectively guided, the overall efficiency and accuracy of operation and maintenance of the photovoltaic power station are improved, and the working efficiency of the photovoltaic power station is improved. And safe and efficient operation of the photovoltaic power station is ensured.

A method for producing a semiconductor nanoparticle, a semiconductor nanoparticle, an electroluminescent device including the semiconductor nanoparticle, and a display device. In an embodiment, the method of an embodiment includes preparing a first semiconductor nanocrystal including zinc, tellurium, and selenium, wherein the preparing of the first semiconductor nanocrystal includes heating a first solution including a first zinc precursor, a first selenium precursor and a tellurium precursor in a first organic solvent at a reaction temperature to form a heated solution; and adding an additive to the heated first solution to produce the first semiconductor nanocrystal, wherein the additive includes a second selenium precursor and the additive does not include tellurium, and the semiconductor nanoparticle is configured to emit blue light.

The invention belongs to the technical field of computer vision detection, and discloses a light-weight and high-precision photovoltaic cell electroluminescent image defect detection model which is obtained through training by the following steps: accurately labeling photovoltaic cell electroluminescent defect images through labeling software to construct a high-quality data set; an RDS-YOLO detection model is constructed; and training an RDS-YOLO detection model by using sample data in the data set to obtain a detection model capable of accurately identifying defects according to the electroluminescent image of the photovoltaic cell. According to the method, the RECBConv module, the DySample module, the C2fCG module and the SCAMHead module are introduced, and the calculation complexity is remarkably reduced while high precision is ensured through the lightweight design, so that an efficient and reliable solution is provided for photovoltaic cell electroluminescent image defect detection.

The invention discloses a BC solar cell electroluminescence defect and power detection integrated system comprising a bearing mechanism used for fixing a BC solar cell; a PCB probe board on the probe module is electrically connected with a source meter, and the PCB probe board is used for being connected with a BC solar cell and forming a closed loop with the source meter; the system further comprises an infrared imaging unit, a lighting source and a central processing unit, and the central processing unit is used for switching an EL defect detection mode and an I-V detection mode and processing and analyzing EL images and I-V data. According to the BC solar cell electroluminescence defect and power detection integrated system, the multi-point elastic PCB probe board suitable for the BC solar cell is designed, and EL defect detection and I-V detection (test) functions are integrated on the same probe-source table hardware system, so that the two discrete functions are integrated into one system; the detection efficiency is improved; and the hardware cost is reduced.

This disclosure relates to magnetic microgel beads, and in particular to magnetic microgel beads for biofunctionalization and methods of making and uses thereof, for example, in biosensing assays. In an embodiment, a magnetic microparticle comprising a magnetic nanoparticle encapsulated by a polymer hydrogel. In another embodiment, an assay for detecting the presence of a target analyte in a sample comprising a) the magnetic microparticle disclosed herein, wherein the biorecognition agent further comprises a reporter moiety; b) an electrochemical chip comprising a working electrode, a counter electrode and a reference electrode; and c) a capture probe functionalized on the working electrode; wherein binding of the biorecognition agent to the target analyte results in production of an electrochemical, electroluminescent or photoelectrochemical signal.

The application belongs to the technical field of intelligent electronic devices, and particularly relates to a high-color-purity multi-color electroluminescent fiber and a preparation method and application thereof. The fiber is prepared by the following steps: preparing lead halide perovskite type nano quantum dots as light conversion particles by a hot injection method, a room temperature supersaturation recrystallization method and the like; grafting and modifying the lead halide perovskite type nano quantum dots on the surface of metal sulfide type electroluminescent particles through a surface ligand to obtain high-color-purity multi-color electroluminescent active material; compounding the light conversion particle modified electroluminescent active material and a transparent thermoplastic elastomer polymer to obtain active slurry, and coating the active slurry on the surface of a conductive fiber through a continuous limited coating process; loading an external electrode on the conductive fiber to obtain the high-color-purity multi-color electroluminescent fiber. The multi-color electroluminescent fiber prepared by the application has various colors and high color purity, and meets the color gamut range required by the luminescent fiber and display fabric.

The invention discloses a photovoltaic cell panel invisible defect detection device based on multispectral imaging. The photovoltaic cell panel invisible defect detection device comprises a photovoltaic cell panel to be detected; the excitation module is configured to enable the photovoltaic cell panel to be detected to generate a short-wave infrared band under the irradiation of an excitation light source; the excitation light source comprises a near-infrared light-induced excitation light source and / or an electroluminescent driving power supply; the spectrum acquisition module comprises a multispectral imaging system composed of a variable optical filter and an area-array camera, the variable optical filter adopts a wavelength programmable narrow-band filtering assembly, and the transmission wavelength of the variable optical filter covers a 1050-1250 nm characteristic spectrum band; and the image acquisition and processing system is configured to control switching of spectrum channels of the variable optical filter, control the area-array camera to shoot multispectral images in sequence and process the images. The device overcomes the adverse effect of the sunlight environment on photoluminescence imaging or electroluminescence imaging of the photovoltaic cell panel, so that the imaging level of invisible defects of the photovoltaic cell panel is improved.

A method 400 of capturing and processing electroluminescence (EL) images 1910 of a PV array 40 is disclosed herein. In a described embodiment, the method 400 includes controlling the aerial vehicle 20 to fly along a flight path to capture EL images 1910 of corresponding PV array subsections 512b of the PV array 40, deriving respective image quality parameters from at least some of the captured EL images, dynamically adjusting a flight speed of the aerial vehicle along the flight path, based on the respective image quality parameters for capturing the EL images 1910 of the PV array subsections 512b, extracting a plurality of frames 1500 of the PV array subsection 512b from the EL images 1910; determining a reference frame having a highest image quality of the PV array subsection 512b from among the extracted frames 2100; performing image alignment of the extracted frames 2100 to the reference frame to generate image aligned frames 2130, and processing the image aligned frames 2130 to produce an enhanced image 2140 of the PV array subsection 512b having a higher resolution than the reference frame. A system, image processing device, and aerial vehicle for the method thereof are also disclosed.

The invention provides a photovoltaic module electroluminescent image acquisition system and method, and a defect detection method, which can be used in the technical field of photovoltaic power generation. The system comprises a liquid crystal polarization modulator, an infrared camera and an image processing unit, the liquid crystal polarization modulator is arranged in front of a lens of the infrared camera and used for changing the polarization direction of incident light entering the lens of the infrared camera; the infrared camera is used for shooting the photovoltaic module to be detected so as to be used for collecting an infrared image set of the photovoltaic module; wherein the infrared image set comprises a first infrared image collected during the first polarization direction and a second infrared image collected during the second polarization direction under the same field of view; and the image processing unit is used for carrying out differential processing on the first infrared image and the second infrared image to obtain an electroluminescent image of the photovoltaic module. According to the invention, the electroluminescent signal of the photovoltaic module is extracted through a pure optical polarization modulation means, so that the collection efficiency of the electroluminescent image of the photovoltaic module is greatly improved.

The present application provides a compound containing hydroxyl triarylamine, which can be used as a light extraction material, and its structure is shown in formula (I). In formula (I), hydroxyl groups and benzoxazole or benzothiazole are introduced into the triarylamine main structure of the traditional light extraction layer material. The hydrogen atoms in the hydroxyl group can form intramolecular hydrogen bonds with the heteroatoms on benzoxazole or benzothiazole, thereby improving the planarity of the molecule and increasing the packing density between molecules. At the same time, this intramolecular hydrogen bond undergoes intramolecular proton transfer under light conditions to form a resonance structure. This process converts ultraviolet light energy into heat energy release instead of material deterioration caused by photochemical reactions, thereby reducing the damage caused by ultraviolet light to the device. In addition, the raw materials of the compound are easy to obtain, and it has higher economic value while ensuring good device protection function. The present application also provides an organic electroluminescent device and a display device. #imgabs0#

The invention provides a red light and infrared light-emitting compound based on a boron-nitrogen fused ring and application thereof. The invention provides a boron-nitrogen polycyclic aromatic hydrocarbon material of a fused naphthalene ring, and a specific strong electron withdrawing group is introduced to a boron atom para-position. Compared with a compound disclosed in the prior art, the compound provided by the invention introduces a strong electron withdrawing group to a boron atom para-position of boron-nitrogen polycyclic aromatic hydrocarbon of a fused naphthalene ring, so that the emission spectrum of the material can be subjected to significant red shift (red shift from a yellow light band to a red light band and even an infrared band), and red light and even infrared light emission with high luminous efficiency and a narrow band can be realized. An electroluminescent device prepared from the compound provided by the invention shows relatively high luminescent color purity and relatively excellent luminous efficiency, and can meet the requirements of current enterprise production on high-performance luminescent materials.

The invention relates to the technical field of photovoltaic product detection, and discloses an ERP data collaborative analysis method for photovoltaic product defect detection, and the method comprises the steps: obtaining the production process data of an ERP system and the defect detection data of a defect detection device; the two types of data are arranged in a time and dimension structured mode, multi-level feature data are obtained through time coding and grouping feature extraction, and production-defect collaborative feature vectors are generated after collaborative attention fusion, rule correction and feature enhancement; and based on the vector, a detection analysis result containing defect types and position coordinates is generated through classification prediction and spatial mapping. Wherein the production process data comprises raw material batches, lamination temperature and the like, and the defect detection data comprises an electroluminescent image gray value, hot spot coordinates and the like. According to the method, through multi-source data cross-domain association and deep fusion, accurate detection and positioning of photovoltaic product defects are realized, the accuracy and timeliness of defect analysis are improved, and a scientific basis is provided for production process optimization.

A light-emitting element includes an anode, a cathode, and an electroluminescent layer between the anode and the cathode. The electroluminescent layer includes an emission layer containing a host material and a first fluorescent material. A bandgap of the host material is equal to or greater than 3.0 eV and equal to or less than 3.4 eV. A difference in a level of a lowest unoccupied molecular orbital between the host material and the first fluorescent material is equal to or greater than 1.0 eV. A difference in a level of a highest occupied molecular orbital between the host material and the first fluorescent material is equal to or less than 0.3 eV

The invention relates to a photovoltaic module defect detection system and method based on multi-physical quantity fusion. The method comprises the following steps: acquiring dust layer optical data and dust weighing data of the photovoltaic module; calculating a cleanliness compensation coefficient of the photovoltaic module according to the ash layer optical data and the dust weighing data; according to the cleanliness compensation coefficient, performing data correction on the original electroluminescent image of the photovoltaic module to obtain a corrected electroluminescent image; inputting the corrected electroluminescent image into a defect cascade neural model of the photovoltaic module to obtain image defect analysis data; and according to the image defect analysis data and the physical constraint conditions, performing defect delimitation on the photovoltaic module to obtain a defect detection result of the photovoltaic module. By adopting the method, the requirements of efficient and accurate detection can be met.

The invention discloses a preparation method of a recyclable electric sensing coating for defect detection. The preparation method is characterized by comprising the following steps: S1, preparing an electroluminescent unit EL; s2, preparing field coupling microspheres FCM based on an electroluminescent unit EL; and S3, preparing the recoverable electric sensing coating based on the field coupling microsphere FCM. The method has the advantages that electric field sensing and an environmental protection concept are successfully combined, and a low-cost, high-sensitivity and lossless polymer interface defect detection method is created. By visualizing the distribution of the electric field around the defect, the REC not only solves the bottleneck of the traditional technology in the aspects of detection precision, economy and environmental protection (recycling), but also provides a new way for realizing the fine management and maintenance of the material state, and has far-reaching significance for promoting the stable operation in the fields of electrical equipment and electronic equipment.