公开(公告)号：US10976335B2

公开(公告)日：2021-04-13

申请号：US16451917

申请日：2019-06-25

Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA

Inventor： Wei Zhang ,  Yanjun Li ,  Zhenghua Gu ,  Yibing Shi ,  Fan Wang ,  Wenqing Zhang ,  Zhipeng Li ,  Jian Zhou ,  Zhipeng Zhan

IPC: G01P5/24 ,  G01F1/66 ,  G01P13/04 ,  G01S15/88

Abstract: The present invention provides a wind measurement apparatus based on 3D (three dimensional) non-orthogonal ultrasonic sensor array, the ultrasonic sensor array is composed of two group of ultrasonic sensors, which are centrosymmetrically located at opposite sides, and the angle formed by connecting any two ultrasonic sensors at a side to the symmetry point O is less than 90°, the arrangement of 3D non-orthogonal ultrasonic sensor array reduces the generation of turbulence, thus, the accurate wind speed and wind direction is obtained. In the mean time, the central channel is employed to obtain a reference wind speed vref. Comparing the speed component vcentral along central channel of the wind under measurement with the reference wind speed vref, if the difference is less than a present threshold, then computing module outputs the measurement results, or discards them, thus the wind measurement accuracy is further improved.

公开(公告)号：US20180080812A1

公开(公告)日：2018-03-22

申请号：US15812996

申请日：2017-11-14

Applicant: University of Electronic Science and Technology of China

Inventor： Huijuan Wu ,  Wei Zhang ,  Xiangrong Liu ,  Yunjiang Rao

IPC: G01H9/00 ,  G01V1/18 ,  G01V1/28

CPC classification number: G01H9/004 ,  G01V1/18 ,  G01V1/208 ,  G01V1/226 ,  G01V1/288 ,  G06F17/12 ,  G06N5/04 ,  G06N7/005 ,  H04B10/25

Abstract: A distributed optical fiber sensing signal processing method for safety monitoring of underground pipe network, which belongs to infrastructure safety monitoring field, which is aimed to improve the intelligent ability of detection and identification of the existing distributed optical fiber sound/vibration sensing system under complex application conditions. The present invention utilizes the distributed optical fiber sound/vibration sensing system to pick up the sound or vibration signal of the whole line along the detection cable; and the customized short time feature and long time feature are respectively extracted from the relative quantity of the sound or the vibration signal at each spatial point in the whole monitoring range. The Bayesian identification and classification network at each spatial point is constructed and trained based on the prior knowledge of the collected signal features and their different background noises.