Zhicheng Liu¹, Long Zhao^1,*, Guanru Wen¹, Peng Yuan², Qiu Jin¹

Structural Durability & Health Monitoring, Vol.17, No.6, pp. 541-555, 2023, DOI:10.32604/sdhm.2023.029760

Abstract The displacement of transmission tower feet can seriously affect the safe operation of the tower, and the accuracy of structural health monitoring methods is limited at the present stage. The application of deep learning method provides new ideas for structural health monitoring of towers, but the current amount of tower vibration fault data is restricted to provide adequate training data for Deep Learning (DL). In this paper, we propose a DT-DL based tower foot displacement monitoring method, which firstly simulates the wind-induced vibration response data of the tower under each fault condition by finite element method. Then the vibration signal… More > Graphic Abstract

Dongli Wu¹, Yunping Liu^2,3,*, Ze Xu^2,3, Weiyan Shang⁴

Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1123-1138, 2020, DOI:10.32604/iasc.2020.012757

Abstract In view of the paucity of hydrometeorological data, inefficiency and high cost of manual detection, a design scheme of meteorological monitoring unmanned surface vehicle (USV) based on STM32 MCU (Microcontroller Unit, which is also known as Single Chip Microcomputer) is proposed in this paper. The path planning is designed by combining the image data acquired by camera with improved RRT-path algorithm (rapidly-exploring random tree algorithm based on auxiliary path), and then motors are controlled so as to realize autonomous cruise control of USV using the incremental PID algorithm. In addition, the design can also realize real-time monitoring of meteorological data… More >