3results about How to "Avoid shock phenomenon" patented technology

This invention relates to the field of electrical digital data processing technology, specifically a TCR measurement method based on high and low temperature region data fusion using an improved particle swarm optimization algorithm. The method inputs the original time-series data from the high and low temperature regions, removes noise and outliers using isolated forest and Grubbs criterion, and maps the data to a unified temperature domain grid using piecewise Lagrange interpolation. An ergodic sequence is generated using Logistic chaotic mapping to initialize the particle swarm position vector, which is then transformed into node coordinate parameters in geometric space, and a cubic basis spline fitting curve is constructed. Particle fitness is evaluated using the sum of squared residuals and curvature smoothness as constraints. During iteration, the average Euclidean distance from the particle to the swarm centroid is calculated to generate a spatial dispersion factor. A multi-interval weighted decision maker based on the Mamdani framework is used to identify probe, development, convergence, and escape states, dynamically adjusting the inertia weights accordingly. This effectively solves the problems of data fragmentation and premature convergence, ultimately outputting a continuous and smooth resistance temperature coefficient distribution across the entire temperature domain.

The invention relates to an extinction coefficient inversion method, system and device and a storage medium, and relates to the field of software design. The method is based on an extinction coefficient inversion system comprising an RBF neural network, a micro-pulse laser radar and a high-energy Raman laser radar. The method comprises the steps that the micro-pulse laser radar and the high-energy Raman laser radar synchronously observe and collect training data; preprocessing the micro-pulse laser radar data to obtain a preprocessed echo signal; preprocessing the Raman laser radar data and obtaining extinction coefficient data by using a Raman laser radar inversion algorithm; training an RBF neural network by using the preprocessed echo signal and the extinction coefficient data to obtain an RBF neural network model; and when an actual echo signal collected by the micro-pulse laser radar is received, performing preprocessing to obtain a target echo signal, and performing prediction inversion on the target echo signal by using the trained RBF neural network model to obtain an extinction coefficient. The technical effect of the invention is to provide a more accurate extinction coefficient inversion result.

The present invention discloses an output voltage conversion and regulation control device based on a series multi-stage gain module, comprising a control module, a sampling module and a series multi-stage gain module, wherein the input end of the multi-stage gain module is configured as an input voltage, the output end thereof is configured as an output voltage, the sampling module is configured to sample the output voltage and send the sampling result to the control module; the multi-stage gain module comprises a plurality of series-connected gain units, each of which has a switchable first gain coefficient and a second gain coefficient; by pre-initializing parameters, the second gain coefficient and the voltage adjustment threshold range are determined, once the voltage sampling value is judged to be lower than the minimum value of the voltage adjustment threshold range, the control module controls the multi-stage gain module to increase a first-stage gain; and once the voltage sampling value is judged to be higher than the maximum value of the voltage adjustment threshold range, the control module controls to reduce a first-stage gain. The present invention effectively avoids the oscillation phenomenon caused by gain adjustment.