7 results about "Spectral energy distribution" patented technology

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 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.

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.

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.

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.

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.