18 results about "Spectral energy distribution" patented technology

The invention relates to the technical field of signal analysis, and discloses a primary frequency modulation large disturbance signal peak value analysis method, which comprises the following steps: collecting a primary frequency modulation large disturbance signal and carrying out filtering processing of multi-band noise separation; performing multi-scale decomposition on the filtered disturbance signal, extracting a dynamic entropy of a multi-scale signal sequence, and performing dynamic entropy denoising on the disturbance signal to obtain a denoised disturbance signal; and calculating a potential peak position of the denoised disturbance signal, and carrying out multi-condition verification on the potential peak position to obtain peak information for frequency modulation disturbance analysis. Based on spectrum energy distribution, specific wavelet bases are selected for different noise frequency bands for noise reduction, the wavelet noise reduction performance is improved, the energy distribution complexity and the structure complexity of the disturbance signals on different scales are extracted, the dynamic characteristics of the disturbance signals are captured more comprehensively, the noise reduction precision is improved, and the noise reduction efficiency is improved. And the accuracy of wind power integration fault identification and equipment life monitoring in the peak value analysis process is improved.

The invention relates to the technical field of power management, in particular to a multi-source data fusion photovoltaic power scheduling control system, which comprises a sensing extraction module, a disturbance identification module, an offset trend analysis module, a path switching module and a frequency band suppression module. According to the method, a disturbance pre-judgment interval is identified by constructing a time derivative sequence and combining illumination and wind speed trend change in a continuous period, a disturbance time period is accurately discriminated, the disturbance interval is confirmed and disturbance characteristics are extracted through conjoint analysis of photovoltaic and energy storage current change trend and grid-connected point fluctuation amplitude, and the disturbance accuracy is improved. An offset trend curve is formed by calculating photovoltaic and energy storage current change differences, the energy supply offset degree is judged in real time to trigger scheduling conditions, dynamic suppression adjustment is performed on regulation and control signal parameters according to spectrum energy distribution, the accuracy and timeliness of disturbance recognition, energy supply offset judgment and frequency band regulation and control are improved from multiple levels, and the energy storage and energy supply efficiency is improved. And more stable and efficient optical storage combined scheduling control is realized.

The invention discloses a table data frequency domain anomaly detection method based on wavelet decoupling and adaptive reconstruction, and belongs to the technical field of anomaly detection. Aiming at the problems of insufficient utilization of data relevance and neglect of frequency domain mode difference in the prior art, spectrum decoupling is realized by constructing a Beta wavelet filter bank, and detection is performed in combination with an adaptive frequency selection module and a full-band reconstruction mechanism. The method specifically comprises the following steps: (1) constructing a table graph model based on a thermonuclear function, and quantifying node relevance; (2) realizing multi-scale frequency domain decomposition by adopting a compact support Beta wavelet, and separating a normal data core mode; (3) designing an alternating encoder-attention architecture, and dynamically screening key frequency components; and (4) constructing an anomaly scoring system through the reconstruction error. Through verification of 23 cross-domain reference data sets, the AUC-ROC and AUC-PR indexes of the method are averagely improved by 8.92%, and the method is remarkably superior to the prior art. The provided Rayleigh quotient purity index provides a quantification tool for spectrum energy distribution analysis, and reveals the strong correlation between frequency selection and spectrum energy.

The application provides a far-infrared-based polyester filament spectral reflectance detection method, and belongs to the technical field of polyester filament spectral reflectance detection. The method comprises the following steps: obtaining enhanced spectral data of a polyester filament sample; performing feature band extraction, calculating a correlation matrix, and obtaining a high-dimensional spectral feature vector; constructing a polyester filament spectral reflectance three-dimensional simulation model, and obtaining a spectral energy distribution diagram; performing matching degree verification, and obtaining a pre-judgment matching index; analyzing a spectral shift type, and obtaining a reflectance defect classification standard; constructing a reflection mode parameter data set, extracting a feature coincidence degree parameter, inputting the feature coincidence degree parameter into a random forest algorithm, and determining a reflectance anomaly grade; and generating a spectral reflectance detection report. The application positions an abnormal interval through three-dimensional simulation simulation, establishes a quantitative correlation between spectral anomalies and process parameters to realize tracing, generates a standardized defect classification and process optimization suggestion to form a closed-loop management and control, can be adapted to detection of multiple types of synthetic fibers, and effectively improves production quality management and control level.

The present invention discloses a method, apparatus, and storage medium for measuring the three-dimensional spectral intensity distribution of a target space. The measurement method includes: calibrating the measurement device; calibrating the radiation intensity of the imaging device; curve-fitting the function between the refocusing coefficient and the corresponding spatial depth; photographing a uniform white light source and recording the spectral light field white light source image; calculating the similarity between each sub-image in the white light source image and the central reference sub-image of the white light source image and the output correction coefficient of each sub-image; photographing and recording the spectral light field image of the target space, and correcting the spectral light field image of the target space; and calculating and forming the three-dimensional spectral intensity distribution field of the target space according to the corrected spectral light field image. The present invention obtains the spectral energy distribution at different focal depths in the target space, and then through all-focus calculation, obtains the spatial depth information and three-dimensional spectral energy distribution information of the object group in the target space, realizing the measurement of the three-dimensional multi-spectral intensity of the target space.

The invention relates to a color difference calculation method, device and system and a program product, and relates to the technical field of display and printing. The chromatic aberration calculation method comprises the following steps: acquiring one or more groups of color stimulants; for each observation view angle, adjusting the primary color proportion of each group of color stimulants until color matching is completed; determining a color difference value of the target color stimulant and the matched color stimulant in each group of color stimulants according to the spectral energy distribution of the target color stimulant, the spectral energy distribution of the matched color stimulant and a color matching function set corresponding to the observation view angle; determining a color difference average value of one or more groups of color stimulants according to the color difference value; dividing a plurality of observation view angles according to the color difference average value, and determining a target color matching function corresponding to each observation view angle interval; and determining a color difference value of the to-be-matched experimental color stimulant group according to the target color matching function, performing fitting according to the color difference value of the to-be-matched experimental color stimulant group, and performing color correction according to fitting parameters.

This invention provides a method and system for real-time identification and classification of partial discharge acoustic signatures based on FPGA, relating to the field of power equipment monitoring technology. The method includes: receiving raw acoustic signature signals from a high-frequency ultrasonic acoustic signature sensor array installed on the sidewalls of each air chamber in a GIS (Gas Grid Integrated Circuit); pre-conditioning the raw acoustic signature signals within the FPGA to obtain conditioned acoustic signature signals; performing adaptive noise reduction processing on the conditioned acoustic signature signals to obtain denoised acoustic signature signals; extracting time-domain envelope, spectral energy distribution, and pulse waveform parameters from the denoised acoustic signature signals to obtain an initial acoustic signature feature vector of partial discharge characteristics; and constructing a virtual spatial reference configuration of the GIS air chamber geometry and sound wave propagation path using a parametric modeling method based on spatial pose gradient projection, using the initial feature vector and combining the spatial coordinates of each sensor and the corresponding air chamber volume parameters. This invention improves the accuracy and real-time performance of GIS partial discharge monitoring.

The invention discloses a method and system for correcting a limited bandwidth depolarization effect in ellipsometry, and the method comprises the steps: measuring a to-be-measured sample through an ellipsometer, and obtaining measurement ellipsometry angle data; secondly, establishing a spectral energy distribution model for the limited bandwidth of the light source, dividing the bandwidth into a plurality of wavelength sections, and determining the energy ratio of each section; on the basis of the model, energy proportion weighted summation is carried out on reflection coefficients of all wavelength bands, and a Stokes vector corresponding to the limited bandwidth is obtained; establishing an ellipsometric angle model based on the Stokes vector, and calculating corresponding model ellipsometric angle data; and iteratively adjusting the optical parameters of the sample through a nonlinear fitting algorithm to minimize the difference between the model ellipsometric angle data and the measurement ellipsometric angle data, thereby extracting the optical parameters of the sample. According to the method, by establishing the physical model, the depolarization effect caused by the limited bandwidth of the light source can be effectively corrected, the extraction precision of the optical parameters of the sample is improved, and the modeling and calculation processes are simplified.

This invention provides a flight trajectory prediction method bridging the time and frequency domains. It constructs and preprocesses a flight trajectory dataset, dividing it into training, validation, and test sets. It captures local time-domain fluctuation features of the training set in the time domain to generate time-domain prediction results. Simultaneously, it generates frequency-domain prediction results by periodically learning the global dependencies of the flight trajectory in the training set under frequency-domain representation. Based on the spectral energy distribution, it calculates the energy proportion of dominant harmonic sequences, dynamically allocates the fusion weights of the time-domain and frequency-domain prediction results, and generates the final flight trajectory prediction result, constructing a preliminary flight trajectory prediction model. It constructs a loss function for the preliminary flight trajectory prediction model based on the training set and trains it. The model is then validated using a validation set, and parameters are fine-tuned according to evaluation metrics until the validation effect meets the requirements when using the test set, resulting in the final flight trajectory prediction model. This method not only reduces model complexity but also improves prediction accuracy.

The present invention provides a method, device, and electronic device for determining mine wastewater leakage channels, relating to the technical field of geological exploration. The method constructs a reflection wave objective function based on the instantaneous frequency smoothing constraint term, the spectral energy distribution constraint term, and the nuclear norm constraint term of all reflected wave sub-signals. By solving the reflection wave objective function, all reflected wave sub-signals can be accurately extracted, avoiding the signal aliasing problem. After obtaining the reflected wave sub-signals at each frequency, the reflected wave field data in the seismic shot data is then constructed. The reflected wave field data is removed from the seismic shot data to obtain the scattered wave field data. By performing offset imaging on the scattered wave field data, the mine wastewater leakage channel in the target mine wastewater treatment area can be obtained. This method can extract effective information about wastewater leakage channels from complex mine seismic wave fields, providing an efficient and accurate solution for the precise identification of mine wastewater leakage channels.

The invention belongs to the technical field of illumination, and discloses a full-spectrum healthy LED light source device with an eye health care function. The device comprises a circular positive light source irradiating downwards, a circular-ring-shaped backlight source irradiating upwards and a circular central light source which is located in the center of the circular-ring-shaped backlight source and irradiates upwards. The two kinds of white light lamp beads and the three kinds of red light lamp beads are installed on PCBs of the three kinds of light sources according to the number ratio calculated according to spectral energy distribution. Full-spectrum white light generated by the white light lamp beads is matched with red light which is generated by the red light lamp beads and has narrow half-wave width and easy-to-control spectral energy, and finally formed mixed light has the effect of preventing myopia under simultaneous illumination of the front light source and the back light source; the central light source is matched with the lens to irradiate light spots which continuously change and move on the light screen to drive eyeballs to do corresponding movement, so that the eyes and peripheral muscles are driven to move, and the effects of promoting blood circulation and playing a role in eye health care are achieved; the 1060 aluminum surface prepared through double-beam interference photoetching has a high-hydrophobicity self-cleaning function.

The application discloses a kind of offshore wind turbine gear box fault diagnosis methods based on image recognition, it is related to gear box fault diagnosis technical field, the reliability of offshore wind gear box crack diagnosis is significantly improved by the imaging optimization of the coupling of multiple physical fields and the innovation of deep learning architecture;The synergy of polarization filtering and dynamic frequency domain filtering effectively suppresses the optical artifact interference of salt crystallization layer;Double generator adversarial network realizes artifact feature decoupling, avoids crack information loss;Frequency domain branch captures crack spectral energy distribution, and spatial branch combines stress distribution priori to strengthen key area detection, solve the cross-scale identification problem of micro-point corrosion and macroscopic broken tooth;Adaptive frequency band selection and deformable convolution design enable the algorithm to cope with different salt mist concentration, complex working conditions of crystalline morphology, reduce the dependence on hardware modification.

The invention discloses a method and device for regulating and controlling sound pressure level spectrum energy distribution of an air gun seismic source, and relates to the field of air gun seismic sources. The problem that in the prior art, when an air gun source is used in a single gun, sound pressure level spectrum energy is difficult to change is solved. The method comprises the following steps that 1, the damping structure is assembled, and the damping structure is formed by assembling a disc structure and a sleeve structure; step 2, fixing the damping structure assembled in the step 1 at the air outlet of the air gun vibration source; and step 3, according to the sound pressure level spectrum energy distribution condition of the air gun source and the task demand of the target sea area, determining the number of the inner rings and reassembling the damping structure so as to realize regulation and control of the sound pressure level spectrum energy of the air gun source. The method is also suitable for the field of sound pressure level spectrum energy distribution regulation and control of the air gun seismic source.

This application provides a method for networked observation of lightning early warning, comprising: collecting trigger signal data from each observation station, extracting the trigger time and pulse waveform record of each station, identifying the combination of stations that trigger simultaneously within the theoretical arrival time difference tolerance window, and obtaining a preliminary set; based on the geometric landing point of each event in the preliminary set, and verifying whether the landing point is located within the effective coverage area of ​​the station network, eliminating invalid solutions, and obtaining a set of lightning strike candidate events; extracting the rise time and spectral energy distribution of each candidate event in the lightning strike candidate event set, and obtaining a subset of suspected interference events after pattern matching of the candidate events; querying the facility density value of the area where each suspected interference event is located from a pre-established industrial facility density map, identifying events with facility density values ​​higher than a preset threshold as high-risk interference events, and separating a preliminary set of real lightning strike events.

A method for controlling an artificial lighting device arranged to produce radiation which promotes the growth of a plant includes at least: sets of primary and secondary lighting units arranged to produce primary and secondary radiation in primary and secondary wavelength bands, respectively, the radiation produced resulting from the combination of the primary and secondary radiation. The method includes obtaining a spectral energy distribution of the radiation produced by the device and received by the plant; determining, over a wavelength band having at least primary and secondary wavelength bands, a spectral energy distribution of a total radiation; obtaining at least one target model of the spectral energy distribution of the total radiation; and determining at least one command intended for the device on the basis of the spectral energy distribution of the total radiation, the target model and the spectral energy distribution of the radiation produced by the device.

The invention discloses a light source, a light source device, a method and a lamp for reducing influence on melanopia protein and protecting sleep, relates to the technical field of light-emitting chips, and solves the technical problems that the prior art is not suitable for long-time use, and reading, writing and entertainment cannot be performed under the light source because the light is not pure white light. A light-emitting component capable of promoting sleep is arranged in the sleep device; the light-emitting assembly comprises light-emitting light sources of different wave bands, and the indexes of the spectral energy distribution lower limit and the spectral energy distribution upper limit of each wave band are different. The sleep device is particularly suitable for students, office workers and other crowds with large eye using amount, and meets the night activity requirement and sleep health.

The invention discloses a pulsar phase delay estimation method based on main mode energy fusion, and belongs to the technical field of pulsar navigation. The method comprises the following steps: firstly, carrying out Hankel embedding and singular value decomposition on a pulsar contour signal, extracting a main modal vector in a structured subspace, and effectively inhibiting observation noise and redundant components; secondly, cross-spectrum calculation is conducted on the standard contour and the folded contour in the main modal domain, the phase difference of frequency components of all orders is analyzed in combination with a phase ratio method, and sub-sampling-level phase delay estimation is achieved through frequency domain phase continuity; and finally, constructing a weight based on cross-spectrum energy distribution, and carrying out weighted fusion on the phase delay amount of each order, thereby further improving the estimation precision and stability. The method has the advantages of strong anti-noise capability, high estimation precision, capability of realizing sub-sampling level measurement and the like, and the X-ray pulsar navigation performance is remarkably improved.

The invention relates to the technical field of biomedical engineering, in particular to a blood sugar and blood fat noninvasive detection method and system based on infrared spectroscopy, and the method comprises the following steps: obtaining an infrared band light source, setting an incident phase, monitoring the position of a light wave interference peak, recording the phase offset of a transmission signal, calculating the spectral attenuation of a tissue level, and adjusting the intensity of the light source. And obtaining a light wave interference enhanced signal. According to the invention, by accurately setting the incident phase of the infrared light source and monitoring the position of the light wave interference peak, the collection efficiency of spectral data and the precision of signal analysis are remarkably improved, the light source intensity and spectral energy distribution are optimized, the sensitivity to blood sugar and blood fat is improved, the data accuracy is ensured, and the accuracy of data analysis is improved. By combining the pulse wave signal and the blood vessel diameter change data, the dynamic adjustment of the spectral data is realized, the influence of the blood vessel change on the measurement is effectively reduced, the stability and accuracy of the result are enhanced, and the reliability of non-invasive detection is improved.