19 results about "Spectral line" patented technology

This invention relates to a method for assembling and adjusting a holographic concave grating monochromator, belonging to the field of optical instrument assembly and adjustment technology. It solves the problems of existing monochromator assembly and adjustment methods being cumbersome, time-consuming, labor-intensive, or having high theoretical requirements and low efficiency. The method involves leveling the holographic concave grating monochromator and laser; recording the initial spot height of the laser; directing the laser perpendicularly to the entrance slit of the monochromator to the center of the grating; measuring and recording the heights of the 0th and ±1st order diffraction spots; plotting the trajectories of the multi-order spectral spots; adjusting the pitch and / or tilt angle of the grating according to the trajectory until the center of each diffraction spot is collinear with the initial spot height; rotating the grating to allow the 0th order light to exit from the exit slit; using a right-angle fixture to adjust the grating shaft lever to be perpendicular to the drive screw and locking it; placing an external light source at the entrance slit; observing the clarity of the spectral lines at the exit slit using a microscope; and adjusting the thickness of the shim at the exit slit to achieve precise conjugate matching between the entrance and exit slits. This invention is simple to operate, quick to assemble and adjust, and highly accurate.

This invention discloses a quantitative analysis system and method for overlapping gas components, belonging to the field of gas analysis and vacuum diagnostics technology. The system comprises: a vacuum chamber to be tested, a first valve connection, and a differential device connected in sequence; the differential device is connected to a mass spectrometry detection unit, a spectral detection unit, and a vacuum pump unit; the mass spectrometry detection unit is used to acquire ion current signals of the analyte gas in multiple mass-to-charge ratio channels; the spectral detection unit is used to acquire characteristic spectral signals of the analyte gas in multiple wavelength channels; a data processing and calculation unit is communicatively connected to the mass spectrometry detection unit and the spectral detection unit, respectively, to obtain and output the partial pressure or concentration of each candidate gas component. Overlapping gas components are those gas components that are difficult to accurately distinguish in mass spectrometry detection due to overlapping mass-to-charge ratio channel responses or overlapping or intersecting characteristic spectral lines in spectral detection. This invention improves the identification capability and quantitative accuracy of overlapping components.

The application relates to the technical field of spectral calibration, in particular to a spectral calibration method and device of a single-lens imaging spectral system. Step 100: according to the focal length of the single lens, the distance between the single lens and the detector is adjusted, the monochromator is controlled to be turned on, and the wavelength is initialized; step 102: the two-dimensional displacement platform is controlled to move according to a preset distance, so as to record each acquisition position of the detector and the corresponding number; step 104: the gray-scale map data collected by the detector is fitted, so that the maximum value position of the spectral line and the corresponding number are obtained; step 106: the initialized wavelength is adjusted according to a preset increment; step 108: steps 100 to 106 are circularly executed, so that the position number of the maximum value of the spectral line under different wavelength conditions is obtained; and step 110: the spectral calibration position is determined based on the position number of the maximum value of the spectral line under different wavelength conditions. In this way, the calibration of the spectral center wavelength can be accurately and efficiently completed.

The application provides a small sample number underwater target recognition method based on deep learning, comprising the following steps: S1, modeling underwater target radiation noise, giving an underwater target radiation noise DEMON spectrum processing method, and pre-processing the DEMON spectrum; S2, processing the radiation noise, simulating different working states and motion states of the target, and extracting sample combinations to generate sample pairs for training, verification and testing of a neural network model; S3, designing a one-dimensional convolutional neural network-based twin network model, training parameters of the convolutional neural network, evaluating network performance by using a verification set containing different Doppler frequency offsets, different signal-to-noise ratios and different spectral line numbers, obtaining a convolutional neural network model, and using the model to calculate the "similarity" of two underwater target radiation noise samples, and further judging whether the two samples are the same target or not. The application has the beneficial effect that the small sample number underwater target recognition problem can be solved.

The application discloses a titanium alloy component determination method and system based on a spectrometer, and comprises the following steps: focusing a first laser pulse on the surface of a titanium alloy sample to be measured to generate an initial excitation area; after a preset delay time after the action of the first laser pulse, a second laser pulse is applied to the initial excitation area; during the action of the second laser pulse, the spectrum signal emitted by the initial excitation area is collected in at least two different preset polarization analysis directions to obtain polarization-resolved spectrum data; a characteristic analysis signal of a target element is obtained; and the component content of each element in the titanium alloy sample to be measured is calculated according to the characteristic analysis signals of the target elements. The spectrum signal is collected in at least two different preset polarization analysis directions to obtain polarization-resolved spectrum data, and the response signal under a specific polarization direction combination is calculated to obtain a characteristic analysis signal, so that the isotropic background radiation and the spectral line interference of non-target elements are effectively suppressed from the physical principle.

The application relates to the technical field of SCGD-OES online detection, and specifically provides a multi-element online quantitative method, system, equipment and medium of a high-salt matrix solution, which comprises the following steps: synchronously collecting multi-modal data; constructing a state vector according to the multi-modal data; calculating a stability index through robust principal component analysis and Mahalanobis distance; combining with working condition parameters to distinguish the working condition and the stability state; and adaptively selecting a quantitative analysis mode; under the working condition constraint, inputting spectral line characteristics into a segmented weighted least square regression model which is fused with monotonicity constraint, multi-spectral line consistency and self-absorption / quenching penalty term, compensating for the matrix effect and calculating the concentration; and finally, fusing the stability index, spectral line consistency deviation and model residual error to calculate the comprehensive confidence, and outputting the concentration and the confidence. The application improves the accuracy, robustness and result reliability of multi-element online analysis under high-salt, dynamic and nonlinear complex working conditions.

The application discloses a kind of traceable pressure sensor dynamic response calibration method based on absorption spectrum reference pressure input, in shock tube is driven section tail end wall position arrangement to be calibrated pressure sensor, and set optical measurement window in reflected shock action area, synchronous acquisition pressure sensor output signal and absorption spectrum signal;Absorption spectrum signal is preprocessed and spectral line fitting, calculate the gas temperature and collision broadening coefficient after reflected shock wave, and reference pressure amplitude P5 after reflected shock wave is obtained accordingly;Pressure amplitude P1 before incident shock wave is measured using pressure gauge after metrological calibration;According to P1, P5 and pressure mutation time t0 Reference pressure step input signal based on Heaviside step function is constructed;Reference pressure step input signal and pressure sensor output signal are processed, and the ratio of the spectral amplitude of the two is used as the sensitivity of the pressure sensor at the corresponding frequency;Error source in the process of calculating reference pressure amplitude, pressure mutation time and sensitivity is evaluated and calculated, and the sensitivity calibration result of pressure sensor is obtained.The application can obtain the sensitivity characteristics and its uncertainty of pressure sensor.

The application discloses a water body dissolved carbon dioxide wide-range in-situ online monitoring method and system, and relates to the technical field of water environment monitoring. The method comprises the following steps: transferring the water body dissolved carbon dioxide to a gas phase channel through a membrane degassing unit; making the gas enter a ring-down cavity and performing cavity pressure closed-loop stable control; providing a first laser and a second laser corresponding to different absorption spectral lines of carbon dioxide, which are coupled into the ring-down cavity through a polarization division multiplexer; separating the output light signal into first and second wavelength channels after wavelength division demultiplexing and independently detecting, and inversely obtaining first and second concentration results; determining the range according to the first concentration result, and selecting the optimal result output or performing weighted fusion output from the first and second concentration results according to the channel quality parameters in the overlapping range. The application aims to solve the problem that low concentration and high resolution and high concentration and wide range are difficult to be considered at the same time, and improves the measurement response speed and stability under dynamic working conditions.

The application provides a gas concentration detection method and device, terminal equipment and medium, comprising controlling a laser to output a laser signal covering a characteristic absorption spectral line of a to-be-detected gas, and converting the laser signal into an original electric signal after passing through the to-be-detected gas via a standard-free light path; demodulating the original electric signal to extract first-order and second-order harmonic signals, and calculating a multi-dimensional harmonic characteristic ratio; obtaining temperature and pressure, introducing a spectral line broadening correction coefficient to construct a physical temperature and pressure model, and correcting the multi-dimensional harmonic characteristic ratio; extracting a waveform feature of a non-absorption reference region, performing nonlinear waveform distortion self-calibration on the corrected harmonic characteristic ratio, and obtaining a final harmonic characteristic ratio; establishing a theoretical mapping relationship between the final harmonic characteristic ratio and a to-be-detected gas concentration based on the Lambert-Beer law, and substituting the final harmonic characteristic into the to-be-detected gas to obtain a gas concentration detection result of the to-be-detected gas. The application can improve the accuracy and robustness of gas concentration detection.

This invention discloses an intelligent identification and sorting method for recycled metals based on LIBS spectroscopy and multimodal sensing, relating to the fields of visual inspection and recycled metal sorting technology. It generates multimodal registration data by acquiring 3D point clouds and RGB images of materials on a conveyor belt, searches for extreme values ​​of surface flatness and color variance, and obtains the optimal excitation target point. A dual-pulse laser is controlled for cleaning and excitation to obtain a pure spectrum. Chemical characteristic spectral lines and physical morphological features are extracted and input into a deep learning model containing a cross-modal attention mechanism, dynamically assigning feature weights and outputting the alloy grade. Based on the grade matching standard density, the real-time mass of the material is calculated using 3D volume, and the dynamic aerodynamic impulse is calculated according to the momentum theorem to control the air valve array for precise blowing. This method solves the problems of ineffective spectra, easy misjudgment of single components, and missorting under fixed air pressure caused by traditional LIBS blind testing, achieving high-speed and high-purity recycling of waste metals.

This invention provides a method for inverting temperature and emissivity from ground-based long-wave thermal infrared hyperspectral imagery, belonging to the field of long-wave thermal infrared hyperspectral remote sensing and radiation inversion technology. It achieves the inversion of target surface temperature and emissivity. The method includes: acquiring long-wave thermal infrared hyperspectral imagery containing sky and ground features; estimating environmental radiation based on sky region pixels; constructing a coupled equation containing target temperature and emissivity; correcting the observed radiance using environmental radiation; solving the coupled equation using a temperature-emissivity separation algorithm to obtain the target surface temperature and initial emissivity spectrum; and post-processing the initial emissivity spectrum to suppress the influence of residual spectral line absorption, outputting the temperature and emissivity results. This invention uses ground-based long-wave thermal infrared hyperspectral imagery as input and can obtain target surface temperature distribution and emissivity products in near-field open scenarios without relying on external auxiliary measurements.

This disclosure belongs to the field of laser-induced breakdown spectroscopy technology, specifically relating to a laser-induced breakdown spectral correction method and system based on energy level radiation attenuation. The method includes: acquiring the temporal resolution spectrum of a calibration sample; determining a correction spectral line of the calibration sample based on the acquired temporal resolution spectrum; calculating the energy level radiation attenuation coefficient of the selected correction spectral line based on its temporal resolution spectral line intensity; and correcting the spectral line intensity of the acquired temporal resolution spectrum of the calibration sample based on the obtained energy level radiation attenuation coefficient of the calibration sample's correction spectral line, thereby completing the laser-induced breakdown spectral correction. This embodiment calculates the energy level radiation attenuation rate, correcting the repeatability problems caused by the uncertainty of the energy level radiation attenuation rate within the laser-induced plasma and the uncertainty of radiation attenuation within the integration time, thus improving measurement accuracy.

This application relates to a method, apparatus, device, storage medium, and program product for detecting the pollution level of insulators. The method includes: acquiring full-band spectral data of the insulator; using a pre-trained pollution level identification model to perform linear projection processing and segmentation processing on the full-band spectral data to obtain multiple sets of spectral features, and performing self-attention operations to determine the degree of influence between the multiple sets of spectral features; and performing detection based on the multiple sets of spectral features and the degree of influence to obtain a pollution level detection result; wherein the pollution level detection result includes at least one of the salt content and ash content of the insulator. By employing self-attention operations to determine the degree of influence between spectral features, multi-dimensional representation of a single feature in the spectral data is achieved, and prediction is performed by combining multiple sets of spectral features, enhancing the model's ability to extract spectral line data and improving the accuracy of pollution level prediction results.

The application relates to the technical field of intelligent fire fighting, in particular to an emergency fire fighting event identification method and system for industrial enterprises. The application proposes the following scheme: visible light, thermal infrared and gas spectrum multi-modal sensing modules are used to collect field sensing data, brightness change, temperature gradient and spectral line intensity features are extracted under a unified space-time reference frame, a multi-modal feature map is constructed and a fire suspicion area is extracted. For the suspected area, a thermal plume field model is constructed based on thermal convection and smoke plume dynamics mechanism, multi-modal prediction trajectories are generated under the assumption of real fire, the prediction trajectories are spatially and temporally registered with the actual observation data, a cross-modal consistency score is calculated to determine the authenticity of the fire. The application can integrate multi-source physical information, realize anti-fact disambiguation of pseudo fire such as welding flash, steam and hot exhaust air, and significantly improve the accuracy and response time of fire identification in complex industrial environments.

The application provides a wide-frequency acoustic sensing method and system based on a mixed Q-value microcavity array and a double optical comb demodulation, which comprises the following steps: forming a sensing array by integrating echo wall mode optical microcavities with high Q values and low Q values on the same substrate, and arranging hollow films with different sizes below the microcavities to respectively enhance the mechanical response to low-frequency and high-frequency acoustic waves; generating a signal light frequency comb, coupling each comb tooth to each microcavity and locking it to a resonant spectral line preset working point; the measured acoustic wave drives the film to vibrate and modulates the microcavity resonant wavelength, the high-Q microcavity generates a high-sensitivity light intensity change signal, and the low-Q microcavity generates a wide dynamic range light intensity change signal; the signal light frequency comb carrying acoustic modulation information is coherently heterodyne detected with the local light frequency comb, a plurality of radio frequency beat signals are generated, and after frequency domain separation and demodulation, the acoustic sensing signals of each channel are recovered in parallel and fused and output. The application can simultaneously realize high-sensitivity, wide-frequency response and large dynamic range acoustic detection.

A method is provided to determine the chemical composition (CC) of used refractory material specimen (M) to allow sorting and recycling of refractory material specimens (M) to achieve a low or zero-waste concept. The method is characterized by a breakdown step during which a pulsed laser beam (L) is irradiated by a laser source (2) onto an examination section (E) of the used refractory material specimen (M) to form a plasma in said examination section (E), by a recording step during which a detection unit (3) records spectral emission(S) of said examination section (E) and by an evaluation step during which an evaluation unit (4) determines the chemical composition in the examination section (E) using spectral lines of the recorded spectral emission (S), wherein a spectral line at a wavelength of about 193 nm is used to determine the carbon content in the examination section (E), and the chemical composition (CC) of the used refractory material specimen (M) is determined by using said chemical composition in the examination section (E).

The present invention provides a high-precision and high-temporal-resolution terahertz band τ-radiation measurement device, comprising an antenna module, a calibration assembly, a local oscillator signal source module, a refrigeration module, a superconducting receiver module, a data acquisition module, and a system control module. Measurement of atmospheric opacity and calibration of atmospheric radiation temperature at any site orientation are realized by means of the antenna module and the calibration assembly. The superconducting receiver module uses a superconducting SIS mixer, achieving an order-of-magnitude improvement in detection sensitivity compared with room-temperature Schottky mixer receivers. On the basis of the characteristics of narrow-band frequency gating and fast real-time spectral data readout of a high-spectral-resolution real-time FFT spectrometer of the data acquisition module, high-precision and high-temporal-resolution atmospheric opacity measurement can be realized. Additionally, by utilizing the high-frequency-resolution spectral processing capability of the real-time FFT spectrometer of the data acquisition module of the device, the device can function as a high-sensitivity and high-spectral-resolution spectral line receiver, thereby realizing high-spectral-resolution terahertz astronomical molecular spectral line observation.