18 results about "Synthetic spectrum" patented technology

The invention relates to the technical field of gas detection, and provides a doped gas concentration detection method and system based on a gas analyzer. The method comprises the following steps: constructing a standard spectrum database under the same pressure and temperature as a to-be-measured site; the method comprises the following steps: introducing sample gas into an optical absorption cell, carrying out wavelength scanning through a tunable diode laser in a plurality of adjacent absorption spectral line intervals containing target gas and interference gas, superposing a high-frequency sinusoidal modulation signal on a driving current, and synchronously detecting a second harmonic component of transmission laser to generate an actual measurement spectrum; fitting the actually measured spectrum with a synthetic spectrum generated on the basis of a standard spectrum database, and outputting a target gas concentration ratio as a detection result when a residual error meets a threshold value, so as to solve the technical problem that the detection precision is reduced due to spectrum overlapping caused by interference gas, and achieve the purpose that the detection precision is reduced by constructing the standard spectrum database and second harmonic spectrum fitting analysis. And the accuracy and the anti-interference capability of gas detection are improved.

A method of Raman spectroscopy for determining concentrations of at least one target component included in a medium including a given combination of multiple components includes: for each component of the medium, providing a reference spectrum of the component; based on Raman peaks included in the reference spectra, identifying Raman peaks that occur within less than a predetermined minimum spectral distance from each other as disturbing peaks; for each component, determining a component spectrum by eliminating each Raman peak included in the reference spectrum of the respective component identified as a disturbing peak; based on the component spectra, determining synthetic spectra of samples of the medium including different concentrations of the components; and based on the synthetic spectra, determining and providing a model for determining concentrations of each target component based on measured spectra of samples of the medium.

The invention relates to a spectrometric measurement method and an analyzer for evaluating variability presented by a measurement spectrum. A spectrometric measurement method includes: presenting, with a plurality of calibration light sources, a known emission spectrum that performs calibration of a plurality of spectrometers; evaluating variability exhibited by the measurement spectrum determined by the calibration spectrometer based on calibration data obtained by these calibrations; determining a reference spectrum of a reference sample presenting a known reference value of the at least one measured object; determining, based on the reference spectrum and the previously evaluated variability, a synthetic spectrum of the reference sample exhibiting the previously evaluated variability; and determining and providing a model for determining a measurement result of the at least one measured object based on the measurement reference spectrum, the synthetic spectrum and the corresponding reference value. An analyzer for evaluating variability presented by a measurement spectrum determined by a calibration spectrometer is configured to perform analog calibration.

The application discloses a handheld spectral sensor signal fidelity method and a related device, and relates to the technical field of spectral detection. The method comprises the following steps: acquiring a measured spectral signal measured by a handheld spectral sensor; identifying a deviation prediction signal based on the measured spectral signal and a deviation signal identification model; and determining a spectral signal after removing the deviation prediction signal based on the measured spectral signal and the deviation prediction signal, wherein the deviation signal identification model is obtained by training a machine learning model based on a sensor deviation feature training set; the sensor deviation feature training set comprises m*n information pairs, each information pair comprises synthetic spectral information and label information; the synthetic spectral information is obtained by synthesizing one unbiased reference information in a set of unbiased reference information and one deviation information in a set of deviation information; the deviation information comprises deviation information generated under the influence of an environment and hardware; and the application can improve the signal fidelity precision of the handheld spectral sensor.

This invention discloses a method and apparatus for soil salinity inversion based on a hybrid generative adversarial network (GAN). The method includes: constructing dual-band and tri-band features for each soil sample, and calculating a second spectral index for each dual-band and a third spectral index for each tri-band; selecting dual-band features based on a first Pearson correlation coefficient and a preset threshold, and selecting tri-band features based on a second Pearson correlation coefficient and a preset threshold; training the hybrid GAN using single-band features, a first coordinate, and a first spectral index; and generating multiple first synthetic spectral samples and second coordinates based on the selected dual-band features, second spectral index, first coordinate, selected tri-band features, and third spectral index. This invention improves the quality, diversity, and quantity of the second synthetic spectral samples, solves the problem of weak generalization ability of the best-performing soil salinity prediction model, and improves the accuracy of soil salinity prediction by the best-performing model.

This application relates to the field of lighting technology, and discloses a spectral control method, device, computer equipment, and storage medium, including receiving a brightness adjustment command, the brightness adjustment command carrying target brightness level information; searching for the driving parameters of each light-emitting channel from a preset driving parameter table according to the target brightness level information, or calculating the driving parameters of each light-emitting channel according to a preset algorithm; outputting the driving parameters to a multi-channel LED driving circuit, so that the driving circuit adjusts the driving current or driving duty cycle of each channel, controlling the multi-channel LED to output a composite spectrum that matches the target brightness level and has high color recognition; the composite spectrum has a preset target spectral structure at the target brightness level, so as to solve the technical problem that the color rendering effect and brightness perception of existing 2700k–3500k warm white LED light sources deteriorate in low-illuminance environments.

The invention relates to the technical field of coal strategies, and discloses a coal industrial element measurement precision improvement method based on NIRSLIBS, and the method comprises the steps: extracting actual measurement spectral data of a part of collection angles from a full-angle coal reference database, and generating physical prediction spectral data; training a virtual wave field reconstruction model by using a neural radiation field technology; generating a full-angle synthetic spectrum and an information gain ranking based on the virtual wave field reconstruction model and the full-angle coal reference database, and screening a student sampling strategy parameter set; carrying out limited angle spectrum acquisition on coal by using a student sampling strategy, and generating an industrial field full-angle synthetic spectrum in combination with a prediction spectrum of an unacquired angle output by the virtual wave field reconstruction model; and inputting the industrial field full-angle synthetic spectrum into the element content prediction model to obtain a coal element content prediction result, and combining with the correction scheme to obtain a coal industrial element measurement result. According to the invention, high precision and long-term stability of coal industrial element measurement are realized.

This application discloses a spectral synthesis method applied to broiler farming. It generates a synthesized spectrum by combining red and green LEDs, with a green to red light ratio of 2:1 and a color temperature range of 7000K ± 500K. Furthermore, this application also discloses a spectral synthesis device and a broiler farming method. By combining red and green LEDs and adjusting the ratio of green to red light in the spectrum to achieve a 2:1 ratio, this method irradiates the broilers with the synthesized spectrum throughout their entire farming cycle. This stimulates the poultry, maximizing their growth potential, improving immunity, reducing antibiotic use during growth, increasing weight, and lowering the feed conversion ratio, thereby achieving optimal economic benefits.

The invention relates to the technical field of copper bar machining, and discloses a material utilization rate optimized layout and order merging method in the copper bar machining process, and the method comprises the steps: obtaining a machining order set and cutting equipment state parameters, performing feature preprocessing on the part to calculate an effective occupied length; mapping the length to a discrete interval to generate an effective virtual filling degree spectrum, and screening orders by using a comprehensive utility function and a seed adsorption strategy to construct a to-be-processed pool; extracting topological characteristics of a synthetic spectrum of a to-be-treated pond, and adaptively matching a layout solver according to the topological characteristics; and a cutting scheme is generated through a solver, and a machining instruction is generated after pre-execution verification is passed. According to the method, the order combination structure is optimized through the spectrum complementation strategy, and the utilization rate of the copper bar material is remarkably improved while the feasibility of the cutting scheme is ensured in combination with the self-adaptive solution and the physical constraint pre-mapping.

A computer-implemented method for synthesizing spectral data includes the following steps: acquiring a set of spectral data each associating a spectrum with a sample having a given chemical composition, using a spectroscopy method, determining a theoretical model of the distribution of the intensities of the spectrum for each wavelength channel of the spectrum, generating a set of synthetic spectral data by generating, for each wavelength channel of the spectrum, a randomly drawn intensity according to the probability distribution of the theoretical model.

A method for one or more modules of one or more processors of a spectral sensor system begins by receiving a plurality of synthetic spectra, where a synthetic spectrum of the plurality of synthetic spectra includes one or more known deviations from a reference spectrum. The method continues by generating a spectral output for each synthetic spectrum of the plurality of synthetic spectra and then training an artificial intelligence engine, using the combined spectral output to generate a trained neural network. The method then continues by calibrating, based on the trained neural network, a spectral response generated by another spectral sensor.

A computer-implemented method for synthesizing spectral data, comprising the steps of: Acquiring (110) a set of spectral data, each associating a spectrum with a sample having a given chemical composition, by a spectroscopic method; Determining (130) a theoretical model of the intensity distribution of the spectrum for each wavelength channel of the spectrum; Generating (140) a set of synthetic spectral data (150) by generating, for each wavelength channel of the spectrum, an intensity randomly drawn according to the probability distribution of the theoretical model. Figure 1

An embodiment according to the present invention includes an audio decoder configured to decode a quantized spectrum and an envelope representation based on linear prediction coefficients from a data stream for a predetermined frame of consecutive frames. Further, the decoder is configured to locate a zero-quantized portion and a non-zero quantized portion in the quantized spectrum and derive the quantized spectrum by filling the quantized spectrum in the zero-quantized portion of the quantized spectrum with synthetic spectrum data modified in accordance with an envelope representation based on linear prediction coefficients in a first manner, and modifying the quantized spectrum in the non-zero quantized spectrum portion in a second manner in accordance with an envelope representation based on linear prediction parameters. Further, a decoder is configured to reconstruct a predetermined frame using the dequantized spectrum. The audio decoder is configured such that, for the predetermined portion, the modification according to the first manner and the modification according to the second manner are such that the spectrally quantized noise shaping comprises different smoothness characteristics. In addition, a corresponding encoder and method are also disclosed.

The embodiment of the invention provides a spectrum programmable lighting control method and system based on a multi-channel narrow-band light source. The spectrum programmable lighting control method based on the multi-channel narrow-band light source comprises the following steps: acquiring input data for a target expected spectrum input by a client; determining a spectrum coverage range of the target expected spectrum based on the input data, and selecting a plurality of target light sources of which the wavelengths are within the spectrum coverage range from a plurality of narrow-band light sources of the target lamp; corresponding target mixing coefficients are distributed to all the target light sources, the target mixing coefficients are used for adjusting the output proportion of all the target light sources, and the difference between the synthetic spectrum of the multiple target light sources and the target expected spectrum is smaller than a preset range; and controlling the corresponding target light sources to emit light based on the target mixing coefficients. Therefore, the spectrum of the lamp can be flexibly changed according to requirements.

A preparation method for preparing spectrometric determinations of a measurand in a target application using a spectrometer is provided. On the basis of reference data recorded in the target application, a normalized measurand master spectrum with a spectral distribution characteristic of the measurand is determined. On the basis of the measurand master spectrum, synthetic spectra are generated which cover a value range greater than or equal to a value range covered by the reference values. On the basis of the synthetic spectra, information for carrying out the spectrometric determinations, including information comprising a property, a wavelength range, and / or a path length range for an optical path length suitable for carrying out the spectrometric determinations, and / or comprising a calculation rule, with which, on the basis of measurement spectra in the target application, measured values of the measurand are determined.