57 results about "Spectral conversion" patented technology

The invention provides a spectrograph, a spectrum reconstruction method and device and electronic equipment, and relates to the field of spectrum analysis. The spectrograph comprises a chip and a peripheral circuit, the chip comprises a photoelectric response layer, a gate layer and an electrode lead-out layer, and a target semiconductor is arranged in the photoelectric response layer; the photoelectric response layer is used for converting an incident spectrum into a photocurrent signal; the gate layer is used for changing the photoelectric response characteristic of the target semiconductor and covers the upper and lower surfaces of the photoelectric response layer; the electrode lead-out layer is used for outputting the photocurrent signal to external equipment, and the external equipment is used for reconstructing an incident spectrum according to the photocurrent signal and the photoelectric response characteristic of the target semiconductor; the peripheral circuit is used for maintaining the chip to work. According to the invention, the semiconductor with adjustable photoelectric response characteristics is used as the core of the photoelectric response layer, so that the spectrometer has the spectral analysis capability from infrared to terahertz wave bands, does not need to depend on a huge optical assembly and a precise mechanical displacement assembly, and can effectively solve the problems in the prior art.

The invention relates to the technical field of near infrared spectrum analysis, in particular to a method and device for directly predicting the property of a reforming raw material from crude oil, electronic equipment and a storage medium, and the method comprises the following steps: collecting a first near infrared spectrum corresponding to the crude oil, and inputting the first near infrared spectrum into a pre-constructed spectrum conversion model; and outputting a second near infrared spectrum corresponding to a reforming raw material fraction cut from the crude oil, inputting the second near infrared spectrum into a pre-constructed reforming raw material property detection model, and outputting property information of the reforming raw material fraction. According to the method, the spectrum of the reforming raw material fraction can be obtained only by collecting the spectrum of the crude oil once through the pre-constructed spectrum conversion model between the crude oil and the reforming raw material fraction subjected to actual boiling point cutting and the reforming raw material property detection model, and then the property of the reforming raw material fraction is obtained through analysis. The raw material property detection process of the reforming device can be advanced before crude oil processing, the reforming raw material fraction property after crude oil processing can be quickly predicted, and a huge optimization and improvement space is provided for operation of the reforming device.

The invention discloses a nondestructive testing method and device for the aging degree of insulating oil, a medium and a product, and relates to the field of insulating oil quality evaluation. The method comprises the following steps: firstly, carrying out in-situ windowing on the oil-immersed transformer, and carrying out a terahertz test on insulating oil flowing through a window to obtain a terahertz time-domain spectrum; then, Fourier transform is adopted to convert the terahertz time-domain spectrum into a terahertz frequency-domain spectrum, and a terahertz absorption coefficient is calculated; calculating a terahertz absorption coefficient integral value according to the terahertz absorption coefficient; substituting the terahertz absorption coefficient integral value into a power frequency dielectric loss model, and calculating the current power frequency dielectric loss; and the aging degree of the insulating oil is determined according to the current power frequency dielectric loss, so that efficient, convenient, non-contact and nondestructive detection of the aging degree of the insulating oil can be realized.

The invention belongs to the technical field of structural vibration testing, and particularly relates to an actual measurement spectrum conversion method and system for a vibration acceleration power spectrum, which considers system response caused by the vibration acceleration power spectrum as excitation for conversion of the vibration acceleration power spectrum, is beneficial to make up for the defects of the existing conversion method, and improves the reliability of the vibration acceleration power spectrum. According to the method, the vibration acceleration power spectrum of the typical part in the flight process of the turboprop aircraft can be reasonably and effectively converted into the actual measurement spectrum, so that the vibration environment test is carried out on the airborne equipment, a result conforming to the reality can be obtained, and the design and improvement of the airborne equipment can be effectively guided.

The invention provides a method and system for identifying sorghum varieties based on spectrum reconstruction and a storage medium, and belongs to the technical field of sorghum variety identification. The method comprises the following steps: acquiring hyperspectral data of a sorghum grain sample and a corresponding pseudo RGB image through a hyperspectral image acquisition system; a mapping relation between pseudo RGB and hyperspectral data is established by using an ASTEM-MST + + model, a spectrum reconstruction model is established, and the ASTEM-MST + + model integrates an adaptive feature enhancement module into a multi-stage spectrum converter network, so that the sorghum spectrum reconstruction quality is improved. A real RGB image of a sample collected by an industrial camera replaces a pseudo RGB image to be input into a reconstruction model, corresponding hyperspectral data is reconstructed, then a region of interest is obtained, spectral data is extracted, variety labels are calibrated and then input into an SSA-RF model for training, a variety identification model is constructed, and the sorghum variety is identified.

The application discloses a kind of gas isotopic ratio measurement system and method, it relates to gas isotopic measurement technical field, in the system, double-layer sealed panning gauge is used to obtain the mixed gas to be measured, after energization, make the mixed gas to be measured occur panning discharge, produce the light signal containing each isotopic characteristic spectrum;Double-layer sealed panning gauge includes gauge tube, coaxially arranged inner layer sealing structure and outer layer sealing structure;Lens group is used to collect and focus light signal;Optical fiber is used for remote transmission light signal collected by lens group;Spectrometer is used for the light signal transmitted by optical fiber is spectrally resolved, forms the spectrum according to wavelength development;Photoelectric detector is used to convert spectrum into electrical signal;Computer is used to determine the proportion of each isotopes in the mixed gas to be measured according to electrical signal.The application realizes redundancy protection by double-layer sealing structure, ensures that discharge condition is stable under harsh environment, prevents gas leakage, realizes high-precision and safe measurement of gas isotopic ratio under high-risk scene.

The invention discloses a pulsed light hair removal system based on spectrum conversion and a control method thereof. The system comprises a pump light source module, a spectrum conversion module, an image acquisition module and a processor. The system provided by the invention has a pixel-level accurate control capability, the accuracy is greatly improved compared with the traditional IPL, and pixel-level energy self-adaption is realized, so that personalized treatment is supported. The system also supports sliding continuous irradiation, can greatly shorten the treatment time, has the advantages of high energy efficiency ratio, small invalid irradiation area, low pain feeling and the like, and can effectively reduce unnecessary thermal stimulation.

The invention discloses a method and system for compressing the spectral data volume of an aircraft, and the method comprises the steps: receiving incident spectral data; performing spectral conversion on the incident spectral data to obtain a spectral response value; establishing a mapping relation between the spectral response value and the incident spectral data; according to the mapping relation between the spectral response value and the incident spectral data, the corresponding incident spectral data are solved according to the spectral response value obtained through actual detection. According to the invention, the problem that the spectral data demand on the aircraft is not matched with the data channel capacity in the prior art is solved.

The invention discloses a frequency spectrum thin film for helping plant growth and development and improving disease resistance, and particularly relates to the technical field of thin films, the frequency spectrum thin film comprises a temperature-sensitive polymer matrix, photosensitive nanoparticles and a frequency spectrum conversion material, is of a three-layer composite structure, can dynamically adjust the transmittance of 400-700nm wave bands according to environment temperature and illumination intensity, optimizes plant photosynthesis spectrums, and improves the disease resistance of plants. Meanwhile, the advantages of waste infrared light utilization, hydrophobicity, pollution resistance, disease resistance enhancement, biodegradability, accurate spectrum management and the like are achieved, and the processing method can guarantee uniform material dispersion, uniform film light transmission and high microbial inoculum survival rate. The defects of a traditional film in plant planting application are effectively overcome, and the film has important significance in promoting plant growth, improving crop quality and reducing environmental pollution.

The application discloses a kind of fast real-time detection light conversion agent method, suitable for sunlight greenhouse and photovoltaic cell field.Light conversion agent absorbs specific waveband light under sunlight and emits another waveband light, but existing technology cannot reflect its spectral conversion effect in real time, intuitively, and is prone to cause ultraviolet visible diffuse reflectance spectrum distortion due to emission light being too strong, with more than 100% abnormal phenomenon.The method uses ground object spectrometer, first tests standard whiteboard reflectance spectrum and normalizes processing, secondly uses standard spectral sample to calibrate, then tests light conversion agent sample, obtains the superposition figure of reflected spectrum and emission spectrum, and intuitively presents spectral conversion effect.Through dynamic adjustment of measurement parameter, adapt to different light conditions, ensure measurement accuracy.The application has the characteristics of fast, intuitive, strong environmental adaptability, can effectively avoid reflectance spectrum distortion, and provides efficient detection means for light conversion agent research and application.

The invention belongs to the technical field of near-infrared spectrum calibration transfer, and particularly relates to a CycleGAN-based non-standard near-infrared spectrum calibration transfer method and a CycleGAN-based non-standard near-infrared spectrum calibration transfer system. Obtaining a non-standard spectrum of a near-infrared spectrometer serving as source equipment, naming the non-standard spectrum as a source domain spectrum, inputting the source domain spectrum into the trained calibration transfer model, and converting the source domain spectrum into a spectrum with target domain spectrum distribution characteristics; the calibration transfer model is constructed based on the CycleGAN, and the identity mapping loss used by a generator in the CycleGAN is optimized for representing the difference between the source domain spectrum and the output of the source domain spectrum input to the generator mapping the target domain spectrum to the source domain. And the difference between the target domain spectrum and the output of the target domain spectrum input to a generator mapping the source domain spectrum to the target domain, and the weight corresponding to the identity mapping loss is a positive number at the initial stage of training and is set to be 0 after the initial stage of training. According to the invention, unnecessary distortion of the spectrum shape structure in the calibration transfer process can be effectively inhibited.

The present invention discloses a graph convolution fusion network for hyperspectral image classification, comprising: image data preprocessing, mainly comprising utilizing methods such as block partitioning, linear discriminant analysis and simple linear iterative clustering to divide segmentation and block data of different scales, and constructing a pixel-level graph structure based on the segmentation and block data; constructing a classification network, comprising a spectral conversion module, a block data graph convolution branch, a block data convolution branch, a segmentation data graph convolution branch, a block data graph convolution feature processing module, a segmentation data feature processing module and a feature fusion module; the block data graph convolution feature processing module improves pixel-level feature expression and enhances classification accuracy by combining a large convolution kernel convolution layer with neighborhood aggregation; the segmentation data feature processing module improves pixel-level feature expression and enhances classification accuracy by utilizing feature similarity weight aggregation; the feature fusion module learns the intrinsic connection between features through void convolution, improves feature fusion effect and enhances classification accuracy. The present invention designs a new convolution and graph convolution fusion neural network to perform hyperspectral image classification. First, block partitioning, linear discriminant analysis and simple linear iterative clustering are used to divide the segmentation and block data of different scales, and a pixel-level graph structure is constructed based on the segmentation and block data. Then, the spectral features of the segmentation and block data are extracted and their spectral dimensions are reduced through the spectral conversion module. Then, convolution and graph convolution are used to extract the spatial features of the segmentation and block data. Then, the block data graph convolution feature processing module is used to process the block data graph convolution features, and the segmentation data feature processing module is used to process the segmentation data features. Finally, the feature fusion module is used to adaptively fuse the features, and the fused features are finally classified.

The invention discloses a method for rapidly detecting a light conversion agent in real time, which is suitable for the field of sunlight greenhouses and photovoltaic cells. A light conversion agent absorbs light of a specific wave band under sunlight and emits light of another wave band, however, in the prior art, the spectrum conversion effect of the light conversion agent cannot be directly reflected in real time, ultraviolet-visible diffuse reflection spectrum distortion is easily caused by too strong emitted light, and the abnormal phenomenon exceeding 100% occurs. According to the method, a ground object spectrometer is adopted, a standard white board reflection spectrum is tested and normalized, a standard spectrum sample is used for calibration, a light conversion agent sample is tested, a superposition graph of the reflection spectrum and an emission spectrum is obtained, and the spectrum conversion effect is visually presented. And by dynamically adjusting measurement parameters, different illumination conditions are adapted, and the measurement accuracy is ensured. The method has the characteristics of rapidness, intuition and strong environmental adaptability, can effectively avoid the distortion of the reflection spectrum, and provides an efficient detection means for the research and application of the light conversion agent.

The invention belongs to the technical field of spectrum technology and deep learning, and provides an aluminum alloy mark recognition method based on a lightweight spectrum attention network, which is used for improving the accuracy and robustness of aluminum alloy mark recognition. The method comprises the following steps: firstly, converting a one-dimensional XRF spectrum into a two-dimensional spectrogram through Grubby field transformation so as to enrich spatial information and amplify spectrum detail differences; then, a lightweight spectrum attention module is provided, and the module reduces the calculation amount through simple adaptive calculation, pays attention to important information of a spectrogram and inhibits redundant information; and finally, on the basis of a lightweight spatial attention module, a ShuffleNet structure is combined to design a lightweight spatial self-attention network, accurate recognition of the aluminum alloy mark is realized, and the accuracy and robustness of aluminum alloy mark recognition are effectively improved. Moreover, the aluminum alloy mark identification method is used as an end-to-end deep learning model, and the mark of the alloy can be accurately identified without complex preprocessing of a sample.

A pre-existing solar panel(100) is modified by adding a body comprising quantum dots(202). The quantum dots(202) are positioned on an optical path, when the modified solar panel is in use, solar electromagnetic radiation passes towards a photovoltaic region of the solar panel in which one or more photovoltaic elements generate an electrical voltage from the electromagnetic radiation. Upon the quantum dots(202) absorbing solar radiation (light) having a first wavelength, they emit light having a second wavelength which is higher than the first wavelength. The first wavelength is one for which the photovoltaic elements have a first conversion efficiency value. The second wavelength is one for which the photovoltaic elements have a higher conversion efficiency value.

The invention discloses an integrated circuit multilayer structure defect nondestructive testing method based on terahertz time-domain spectroscopy, and relates to the technical field of integrated circuit defect detection, and the method comprises the following steps: testing the terahertz time-domain spectroscopy of an integrated circuit, and converting the terahertz time-domain spectroscopy into an intensity reflection spectrum; performing feature extraction on waves in the intensity reflectance spectrum to obtain waveform features of the intensity reflectance spectrum; preparing a test sample of the integrated circuit, and acquiring waveform characteristics of the test sample to obtain normal characteristics; carrying out deep learning on the normal features, and analyzing to obtain a judgment standard of the normal features; performing nondestructive testing on the defects of the integrated circuit based on the judgment standard; the method is used for solving the problem that the defects of the integrated circuit cannot be accurately recognized due to the fact that the existing integrated circuit defect detection technology is insufficient in applicability and incomplete in defect recognition of the integrated circuit.

The invention discloses a membrane floating support device for microalgae culture, which is used for expanding and flattening a composite membrane, and comprises a support structure, the support structure comprises a frame body, the outer surface of the frame body is fixedly provided with a connecting ring and a barrier strip respectively, the bottom surface of the frame body is fixedly provided with a connecting piece, the frame body is fixedly connected with a floating cylinder through the connecting piece, and the floating cylinder is fixedly connected with the supporting structure. According to the membrane floating supporting device for microalgae culture, the floating barrels are integrated on the frame body to form a supporting structure, and when a composite membrane is supported through the supporting structure, buoyancy of the floating barrels can be self-adaptive to water level fluctuation, keep the membrane surface horizontal, cover the membrane surface flatness and light distribution uniformity, avoid local shadows, and improve the membrane surface floating effect. Meanwhile, the composite membrane is formed by compounding the base material layer, the spectrum conversion layer and the anti-ultraviolet coating, and the composite membrane can solve the problems that the growth of microalgae is inhibited by ultraviolet light in sunlight and the energy of infrared light is wasted by utilizing the performance of a multi-layer material.

This invention discloses a detection system and protein analyzer based on a filtering amplification module. The processing module simultaneously provides the same pulse modulation signal to both the light source module and the filtering amplification module. The light source module provides a first wavelength spectrum under a first level signal and is turned off under a second level signal. The photoelectric conversion module converts the second wavelength spectrum into a level signal when the light source module is off. The filtering amplification module is turned off under the first level signal and turned on under the second level signal. Thus, when the light source module is working, the photoelectric conversion module receives both the first and second wavelength spectra. At this time, the filtering amplification module is not turned on. After the light source module is turned off, the second wavelength spectrum is maintained for a certain period, at which point the filtering amplification module turns on. This means that by turning off the light source module, the first wavelength spectrum is filtered out, improving the accuracy of the detection.

The invention relates to a near infrared spectrum conversion method for gasoline, which comprises the following steps of: respectively collecting spectrums on two spectrometers by using a hydrocarbon pure compound as a standard substance sample, and obtaining a fitting coefficient vector of a standard substance spectrum matrix on a first spectrometer and a typical gasoline sample spectrum by using a fitting algorithm; and carrying out mathematical transformation on a gasoline fitting spectrum matrix obtained by multiplying the fitting coefficient vector by standard substance spectrum matrixes obtained by the two spectrometers, so as to obtain gasoline near infrared spectrum conversion coefficients of the first spectrograph and the second spectrograph. The method can eliminate tiny spectrum difference generated between near infrared spectrums of gasoline samples measured by different spectrometers, gasoline standard samples do not need to be collected in the actual application process, manpower and material resources are saved, meanwhile, the accuracy of spectrum conversion is improved, and the method is suitable for rapid analysis of composition, physical properties and the like of the gasoline samples.

The invention discloses light-conversion transparent conductive glass as well as a preparation method and application thereof. The glass comprises a glass substrate, a spectrum conversion material and a transparent conductive layer, wherein the spectrum conversion material is used for converting the wavelength of light and is combined with the glass substrate in an internal doping and / or external coating mode, one surface of the glass substrate is externally coated with the spectrum conversion material, and then a light conversion layer is formed; the transparent conductive layer is arranged on the light conversion layer in a stacked mode or directly arranged on one surface of the glass substrate in a stacked mode. The spectrum conversion material is of a core-shell structure and comprises a light conversion material serving as an inner core, and a first protective layer and a second protective layer which sequentially cover the outer side of the light conversion material, the first protective layer is formed by a light stabilizer, and the second protective layer is formed by an organic and / or inorganic material.

The application provides a distributed acoustic wave sensing system and a demodulation method thereof. The distributed acoustic wave sensing system comprises a laser, an optical modulation device, an optical fiber, an unbalanced interference device, a balanced photodetector and a signal processor. The optical modulation device is used for receiving laser light, modulating the laser light into chirp frequency pulse light and amplifying and outputting the chirp frequency pulse light. The optical fiber comprises a plurality of scattering enhancement points, which are used for receiving the amplified chirp frequency pulse light and outputting reflected light of the scattering enhancement points. The unbalanced interference device comprises two interference elements with an arm length difference, and interference spectra of the two scattering enhancement points are formed by using the time delay of the two interference elements. The balanced photodetector is used for converting the interference spectra of the two scattering enhancement points formed by the reflected light of the two scattering enhancement points into corresponding electrical signals. The signal processor is used for collecting the electrical signals and analyzing and demodulating the electrical signals to output acoustic wave information. The acoustic wave sensing with a large dynamic range is realized.

A photovoltaic generation assembly is disclosed, comprising a plurality of vertically oriented solar tubes, each aligned with a corresponding Fresnel lens mounted on a movable Fresnel lens holder. The system includes a height adjustment assembly that controls the vertical position of the Fresnel lenses to optimize light focus based on solar movement. The adjustment mechanism may include a stepper motor driving a gear-based shaft assembly, or alternatively, a solenoid-based system that magnetically elevates or lowers the lens holder. Each solar tube incorporates a down-conversion assembly to shift high-energy photons, an up-conversion assembly to convert low-energy infrared photons into usable light, and a reflective base for photon recycling. An optional thermoelectric layer recovers heat energy. The arrangement increases photon absorption via internal reflections, improving solar conversion efficiency and enabling multiband energy harvesting from a compact, modular solar architecture.

This invention discloses a rare-earth element-doped tellurate scintillation glass thin film, its preparation method, and its applications. It belongs to the field of materials science and technology, using tellurate glass as a substrate and uniformly co-doping with Eu. 3+ Ions and Yb 3+ Ions; the tellurate scintillation glass film has a thickness of approximately 80 nm to 200 nm. The tellurate scintillation glass film obtained by this invention has a uniform thickness and is defect-free, exhibiting high efficiency in Eu scintillation. 3+ →Yb 3+ Its energy down-conversion properties enable it to be used as a near-infrared luminescent or down-conversion material, and it has superior performance potential in areas such as serving as a spectral conversion layer to improve the light response of silicon-based solar cells or as a near-infrared micro scintillator.

A method for text-image integration is provided. The method may include receiving a question related to pairable data comprising text data and image data. Embeddings are generated from the text tokens and image encodings. Embeddings are generated from the text tokens and image encodings. The embeddings include text embeddings and image embeddings. A spectral conversion of the text embeddings and the image embeddings is performed to generate spectral data. The spectral data is processed to extract text-image features. The text-image features are processed to generate inferred answers to the question.

The present invention provides an FDR defect location method based on k-means clustering and fractional Fourier transform, which can be applied to the field of high voltage technology. The method includes: according to the same sampling method, different sweep frequency signals are passed through the cable to be detected to obtain an initial reflection coefficient spectrum set; the initial reflection coefficient spectrum set is clustered to obtain multiple reflection coefficient spectrum clustering clusters; multiple reflection coefficient spectra obtained based on multiple reflection coefficient spectrum clustering clusters are pre-processed to reduce spectrum leakage to obtain multiple target reflection coefficient spectra; multiple target reflection coefficient spectra are respectively subjected to fractional Fourier transform to obtain multiple two-dimensional time-frequency spectrum graphs; multiple two-dimensional time-frequency spectrum graphs are respectively subjected to spectrum conversion to obtain multiple positioning curve graphs for defect detection; and based on multiple positioning curve graphs, defect detection results of the cable to be detected are obtained.

The invention discloses a flexible transparent electrode with a light conversion function and a preparation method and application thereof, and the preparation method comprises the following steps: mixing a cesium tribromoplumbate quantum dot colloidal solution, polymethyl methacrylate, dimethylformamide and toluene to obtain a light conversion solution; spin-coating the silver nanowire solution on glass, performing thermal annealing treatment, spin-coating polydimethylsiloxane, and performing curing treatment to obtain a transparent electrode; and spin-coating the transparent electrode with a light conversion solution, carrying out drying treatment, spin-coating polydimethylsiloxane, carrying out curing treatment, and stripping the glass to obtain the flexible transparent electrode with the light conversion function. The problem that an existing transparent electrode only has a single charge transmission function when applied to a photoelectric device is solved, the spectrum conversion capacity is given to a traditional transparent electrode through the composite light conversion layer, and the photoelectric conversion efficiency of the device can be effectively improved on the basis that the original structure of the device is not changed when the transparent electrode is applied to the photoelectric device such as a solar cell.

The invention discloses an online detection method based on a quantum dot tracer for oil fields, which relates to the technical field of oil field tracer detection, and comprises the following steps: S1, adding a quantum dot tracer to the construction fluid injected into each section of the formation for tracing; S2, using an online detection device to detect the quantum dot signal in the return fluid, and collecting the fluid properties of the return fluid; S3, establishing a spectrum conversion model, converting the quantum dot signal into spectral data illumination, judging the type of the quantum dot tracer, and thus determining which section of the formation the return fluid comes from; S4, establishing an illumination conversion model, converting the spectral illumination into quantum dot signal intensity, and using a quantum dot return volume calculation model to calculate the return volume of the quantum dot, thereby determining the return volume of the fracturing fluid in each section of the formation. The invention can present the tracer results in real time and quickly, which is helpful for implementing decision-making and quickly responding to formation changes, reducing the test cycle, and reducing the overall construction interpretation cost of the tracer quantum dots.

Composite comprises polymer and lanthanide complex Au+[Ln(L1)w(L2)x(L3)y(L4)z)]-u. A is a metal cation, preferably potassium. Ln is a lanthanide, preferably Europium. L1, L2, L3, L4 are dibenzoylm

Methods of manufacturing polyoxotitanates, polymer-polyoxotitanate composite materials and novel polyoxotitanates are provided. The invention enables spectral conversion of sunlight towards longer wavelengths, which is beneficial for increasing 5 available photons for photosynthesis.

A diaryloxybenzoxadiazole compound having the general formula (Ia) and disubstituted with a thiophene group, wherein: -Z represents a sulfur atom, an oxygen atom, or a selenium atom; or an NR5 group, wherein R5 is selected from straight-chain or branched C1-C groups. 20 Preferably C1-C8 alkyl, or selected from optionally substituted aryl groups; -R1, R2, and R3, which may be the same or different from each other, representing hydrogen atoms; or selected from straight-chain or branched C1-C groups optionally containing heteroatoms. 20 Preferably C1-C8 alkyl, optionally substituted cycloalkyl, optionally substituted aryl, optionally substituted straight-chain or branched C1-C 20 Preferably, it contains C1-C8 alkoxy groups and -COOR6 groups, wherein R6 is selected from straight-chain or branched C1-C6 groups. 20 The preferred alkyl group is C1-C8, or cyano; R1 and R2 may optionally be combined to form a saturated, unsaturated, or aromatic cyclic or polycyclic system containing 3 to 14 carbon atoms, preferably 4 to 6 carbon atoms, together with the carbon atoms to which they are bonded, which optionally contains one or more heteroatoms, such as, for example, oxygen, sulfur, nitrogen, silicon, phosphorus, selenium; R4 may be the same as or different from each other, selected from optionally substituted aryl groups. The diaryloxybenzoxadiazole compound having the general formula (Ia) and disubstituted with a thienophene group can be advantageously used as a spectral converter in a light-emitting solar concentrator (LSC), which in turn can improve the performance of a photovoltaic device (or solar device) on a rigid or flexible support, for example, a selection between photovoltaic cells (or solar cells) and photovoltaic modules (or solar modules). More specifically, the photovoltaic device (or solar device) can be advantageously used to construct a greenhouse.