12 results about "Ceilometer" patented technology

The invention provides a FY-4 offshore cloud bottom height correction method considering a buoy ceilometer, and belongs to the technical field of offshore cloud bottom height correction.According to the method, the cloud bottom height data of a buoy ceilometer and a FY-4 satellite are collected, sea surface reflection pollution correction is carried out on the satellite data, and a cloud layer structure is identified by using K-means clustering; extracting multi-scale fractal dimension features of buoy and satellite data and calculating a difference parameter, organizing correction data into a four-dimensional correction tensor, decomposing and extracting a low-rank structure by adopting CANDECOMP, and inputting a decomposition result and the fractal dimension difference parameter into a cloud base height bidirectional optimization model; dynamic balance between precision improvement and space-time stability maintenance is realized through a game mechanism of a precision optimization sub-model and a stability optimization sub-model in the model, and the technical problem that the marine cloud bottom height precision and the space-time stability of satellite inversion are difficult to consider at the same time is solved.

The utility model discloses a multi-angle rotary type laser ceilometer, which comprises a working table, a rotating mechanism is arranged on the working table, a turnover mechanism is arranged on the rotating mechanism, a laser ceilometer body is arranged on the turnover mechanism, and through the arrangement of the working table, the rotating mechanism, the turnover mechanism and the laser ceilometer body, when the multi-angle rotary type laser ceilometer is in use, the laser ceilometer can be conveniently turned over. According to the laser ceilometer, the rotating mechanism and the turnover mechanism can be fixedly installed through the workbench, then the laser ceilometer body is fixed to the turnover mechanism, the laser ceilometer body can observe clouds in different directions through cooperative use of the rotating mechanism and the turnover mechanism, and when the rotating mechanism is used, the laser ceilometer body can rotate around the rotating mechanism. According to the laser ceilometer, firstly, the rotating ring is rotationally arranged on the workbench, when the observation direction of the laser ceilometer body needs to be changed, only the connecting rod needs to be driven to rotate through the handle, then the connecting rod drives the driving wheel to rotate, the rotating ring can be made to rotate, and then the observation direction of the laser ceilometer body is changed.

1. The name of the design product: handheld laser ceilometer. 2. The use of the design product: intelligent handheld sensor for measuring cloud height. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. Name of the product in this design: Cloud Gauge. 2. Purpose of this design: This design is used to measure data such as cloud base height, cloud thickness, and number of cloud layers. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The utility model discloses a kind of inclination adjusting device for millimeter wave cloud detector, it is related to meteorological radar testing and calibration technical field, and it includes: base, base includes fixed base and rotating base, one side of rotating base is rotatably connected with fixed base, and rotating base is used for the bottom of detachably installed millimeter wave cloud detector;Base slot, base slot is horizontally fixed in the side of fixed base, and a column of slot mouths is distributed with interval on base slot;First support, the upper end of first support is rotatably connected with one side of rotating base, and the lower end of first support is equipped with the first plug-in part that can be matched with each slot mouth and clamped;Second support, the lower end of second support is equipped with the second plug-in part that can be matched with each slot mouth and clamped, and the upper end of second support is used for with millimeter wave cloud detector detachably supported connection.The utility model avoids the interference of unmanned aerial vehicle itself echo to test result, greatly reduce the influence of environmental wind on the stability of metal ball.

The invention provides an accurate ceilometer comparison and measurement method, and belongs to the technical field of ceilometers, the method comprises the steps: building an aerosol scattering feature discrimination matrix, removing an aerosol layer, reserving a real cloud layer signal, employing a cloud layer boundary Bayesian inference algorithm based on maximum likelihood estimation to obtain the posterior probability distribution of cloud base height, and carrying out the comparison and measurement of the cloud base height. Constructing a double-layer game optimization model to improve the cloud layer recognition precision and minimize the data registration error, calculating the cloud layer movement speed by adopting a cloud layer motion vector estimation algorithm, carrying out space-time interpolation correction, and calculating a correlation coefficient and a linear regression slope to judge the comparison qualification. And increment deviation analysis is carried out on all maximum cloud height values to judge full-scale performance, so that the technical problem that the comparison accuracy is reduced due to space-time mismatching of observation data of a reference instrument and a tested instrument caused by dynamic movement of the cloud layer is solved.

The application provides a laser ceilometer system error compensation method based on regression analysis, and belongs to the technical field of laser ceilometers.The application divides a measurement range into four height intervals by constructing a layered height interval step regression equation set and establishing independent nonlinear regression equations, designs a double-layer game optimization framework to realize collaborative optimization of global error minimization and local fitting accuracy maximization, performs historical data preprocessing and data set division, implements a double-layer game model collaborative optimization algorithm to determine regression equation coefficients and neural network parameters, constructs an adaptive cloud height error correction model based on a Transformer architecture to realize real-time error compensation, and maintains optimal model performance through sliding time window monitoring and automatic retraining, thereby solving the technical problem that the measurement accuracy of a laser ceilometer is significantly affected by system errors caused by changes in atmospheric environmental parameters and device parameters.

This invention provides an accurate cloud height comparison method, belonging to the field of cloud height technology. The invention establishes an aerosol scattering feature discrimination matrix to eliminate the aerosol layer and retain the true cloud signal. It employs a maximum likelihood estimation-based Bayesian inference algorithm for cloud boundaries to obtain the posterior probability distribution of cloud base height. A two-layer game optimization model is constructed to improve cloud identification accuracy and minimize data registration errors. A cloud motion vector estimation algorithm is used to calculate cloud movement speed and perform spatiotemporal interpolation correction. Correlation coefficients and linear regression slopes are calculated to determine the pass / failability of the comparison. Incremental deviation analysis is performed on all maximum cloud height values ​​to determine full-range performance. This invention solves the technical problem of decreased comparison accuracy caused by spatiotemporal mismatch between the observation data of the reference instrument and the tested instrument due to dynamic cloud movement.

1. The name of the design product: laser ceilometer. 2. The use of the design product: the design product is used for automatically and continuously monitoring cloud base height, cloud layer thickness, statistical cloud amount, and vertical visibility. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view.

The application provides a FY-4 sea cloud base height correction method considering a buoy cloud height instrument, and belongs to the technical field of sea cloud base height correction. The application collects the buoy cloud height instrument and FY-4 satellite cloud base height data, performs sea surface reflection pollution correction on the satellite data, identifies the cloud layer structure by using K-means clustering, extracts the multi-scale fractal dimension features of the buoy and satellite data and calculates the difference parameters, organizes the correction data into a four-dimensional correction tensor, extracts the low-rank structure by using CANDECOMP decomposition, inputs the decomposition result and the fractal dimension difference parameters into a cloud base height bidirectional optimization model, and realizes the dynamic balance between the accuracy improvement and the spatiotemporal stability maintenance in the model by the game mechanism of the accuracy optimization sub-model and the stability optimization sub-model, so that the technical problem that the sea cloud base height precision and the spatiotemporal stability of the satellite inversion are difficult to be considered is solved.

1. The name of the design product: laser ceilometer. 2. The use of the design product: the design product is used for measuring cloud base height. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The invention discloses a millimeter wave ceilometer data quality control method based on an XGBoost model, and relates to the technical field of millimeter wave ceilometer data quality control, comprising the following steps: S1, inputting ceilometer data; s2, multi-dimensional feature extraction: performing multi-dimensional feature extraction on the data input in the step S1 by calculating a time domain variable coefficient and extracting multivariable texture features and echo energy distribution skewness; s3, performing preliminary quality control treatment; s4, performing secondary inspection based on the power spectrum data; and S5, outputting a result after filtering. According to the method, exclusive features of two types of interference echoes are extracted through multi-dimensional feature time domain variable coefficients, texture features and energy distribution skewness, interference rules in different scenes are learned in a self-adaptive mode through a model, and synchronous recognition and filtering of the two types of interference are achieved; meanwhile, power spectrum recognition is introduced, the filtering accuracy is further improved, the method does not need to separately design processing logic, and the filtering accuracy and scene adaptability are improved while the process is simplified.