6 results about "Spectroradiometer" patented technology

A spectral sensing device and associated methods for enhanced diagnostic capabilities across medical fields are disclosed. The device incorporates multispectral, hyperspectral, and photoplethysmography technologies to analyze biological features including tongue, oral cavity, saliva, teeth, and other tissues. The system transforms any standard RGB camera into a multispectral imaging device by training machine learning models to associate RGB values with spectral values inside and outside the visible spectrum using measurements from a single pixel detector spectroradiometer. A multimodal neural network with separate processing branches analyzes spectral images, non-spectral images, and tabular data to predict microbiome composition. The system generates health risk assessments by comparing predicted microbial abundances to thresholds associated with various medical conditions. Near-infrared sensing enables blood flow monitoring, subcutaneous imaging, and assessment of physiological parameters. Convolutional neural networks enable spectral reconstruction without requiring the physical device, while supporting continuous monitoring in various form factors.

The invention discloses a photovoltaic power generation forecasting method based on spectrum forecasting, and aims at solving the problem that errors are large due to the fact that only temperature and total irradiance are considered in an existing photovoltaic power generation forecasting method. The method comprises the following steps: downloading global forecast data and carrying out lattice point coding conversion; then carrying out dynamic downscaling and calculating future key meteorological variables; calculating the spectral optical thickness of each atmospheric component by using the spectral absorption and scattering coefficients of different gas components in the HITRAN database, and obtaining direct and scattered spectral irradiance according to the spectral optical thickness; carrying out calculation result verification and artificial intelligence correction by utilizing a solar spectrum radiometer; calculating generated power of different wavelengths; and calculating the final generation power through integral calculation in combination with the loss of other parts of the photovoltaic module. And forecasting a radiation spectrum at a future moment according to different forecasted meteorological variables, and converting radiation into power generation power according to the spectrum, thereby realizing refined conversion of optical power.

This invention discloses a converging optical path for a solar spectroradiometer and its coaxial adjustment method, relating to the field of atmospheric measurement devices. The converging optical path includes a tracking optical tube and a measuring optical tube. The tracking optical tube consists of a pinhole, an adjustment mechanism, a four-quadrant detector, and an amplification and acquisition circuit. The measuring optical tube consists of a window, an aperture diaphragm, an off-axis parabolic mirror, a field-of-view diaphragm, a stray beam diaphragm, a meniscus lens, a neutral density filter, and a spectrometer. The method constructs a normalized evaluation index by acquiring a weighted integral sum of continuous spectral intensity from four quadrant signals and multiple preset reference bands (2–6 micrometers). A local five-point cross scan is performed centered on the current lock point to determine the optimal coaxial point and obtain target locking characteristics. Coaxial adjustment is triggered again upon power-on or when the evaluation index decreases. This invention improves the consistency between the measuring and tracking optical paths and the stability of direct-light measurements.

The application provides a multi-light-source-based spectral radiometer calibration method, system and device, and belongs to the technical field of optical measurement. The method comprises the following steps: collecting spectral response functions of two light sources by using a target spectral radiometer; fusing the spectral response functions of the two light sources based on coinciding wavebands of the spectral response functions, to obtain a full spectral response function; then performing absolute calibration by using a third standard light source to obtain a third spectral response function; and obtaining a final calibrated full spectral response function based on the third spectral response function and the full spectral response function. The method uses a combination of two light sources to complete relative calibration for a wide-band spectral radiometer, successfully expanding the calibration waveband. On this basis, a high-stability standard light source is used to perform absolute calibration of radiation quantity, simplifying the calibration process of the wide-spectrum light source and ensuring the reliability of the calibration result.

The present invention discloses a method for determining the extent of rodent-damaged Chinese pine trees based on hyperspectral and physiological and biochemical parameters. The method comprises the following steps: determining a target area for rodent-damaged Chinese pine trees based on rodent-damaged characteristics, partitioning the target area, and collecting Chinese pine needles in the target area; obtaining spectral reflectance data of the Chinese pine needles using a spectroradiometer, and obtaining the chlorophyll content and moisture content of the Chinese pine needles; processing the spectral reflectance data using a convolution smoothing method and removing outliers in the chlorophyll content and moisture content; performing first-order derivative processing on the smoothed spectral reflectance data using a spectral differential technique; determining a target vegetation index and a target red edge parameter; training a random forest model to obtain a Chinese pine damage extent estimation model; and outputting the chlorophyll content and moisture content of the Chinese pine needles to be tested using the Chinese pine damage extent estimation model to determine the extent of damage to the Chinese pine needles to be tested. The present invention can improve the accuracy of rodent-damage assessment for Chinese pine trees.

Photon analyzer device, installation for the development of a living organism comprising such a device and method for controlling such an installation. The invention relates to a photon analyzer device (17), comprising a spectroradiometer (21) for capturing light radiation and measuring a surface power density as a function of an emission wavelength between 350nm and 800nm, said radiation being emitted by a lighting system.According to the invention, the device comprises a housing (19) containing said spectroradiometer and an electronic board on which said spectroradiometer is integrated and comprising a computing unit (27) programmed to: - acquire, in real time, a measurement of surface power density from said spectroradiometer as a function of at least one emission wavelength, - convert, in real time, said measurement of surface power density into at least one value of the received photon flux density as a function of said emission wavelength. Figure 2.