3 results about "Cloud height" patented technology

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.

The present application relates to a kind of solar field cloud shelter monitoring and control method, system based on multisensor data fusion.The method includes: the low-density scattered solar radiation sensor network and high-density overall solar radiation sensor network are cooperatively collected basic data in deployment, combined with adaptive filtering technique to filter noise interference, then based on the inverse deduction direct solar radiation intensity of radiation balance equation;While aiming at shelter area, non-shelter area uses differentiated interpolation and extrapolation method;Through convolutional neural network, cloud layer features are extracted, cloud movement trajectory and shelter range are predicted;Introduce geographic information system data, according to the projection length and shape of topographic relief correction cloud shadow;While fusing meteorological satellite data and cloud height data to construct cloud layer three-dimensional model;Based on direct solar radiation intensity distribution map and cloud shelter trajectory prediction result, the working state of heliostat in shelter area is dynamically adjusted, to avoid invalid operation and energy waste.

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.