scholarly journals Development of a 2 MHz Sonar Sensor for Inspection of Bridge Substructures

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1222 ◽  
Author(s):  
Chul Park ◽  
Youngseok Kim ◽  
Heungsu Lee ◽  
Sangsik Choi ◽  
Haewook Jung
Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1900
Author(s):  
Vitor Augusto Machado Jorge ◽  
Pedro Daniel de Cerqueira Gava ◽  
Juan Ramon Belchior de França Silva ◽  
Thais Mancilha ◽  
Waldir Vieira ◽  
...  

Hydroelectric power plants often make use of tunnels to redirect the flow of water to the plant power house. Such tunnels are often flooded and can span considerable distances. Periodical inspections of such tunnels are highly desirable since a tunnel collapse will be catastrophic, disrupting the power plant operation. In many cases, the use of Unmanned Underwater Vehicles (UUVs) equipped with mechanical profiling sonars is a suitable and affordable way to gather data to generate 3D mapping of flooded tunnels. In this paper, we study the resolution of 3D tunnel maps generated by one or more mechanical profiling sonars working in tandem, considering synchronization and occlusion problems. The article derives the analytical equations to estimate the sampling of the underwater tunnels using mechanical profiling sonars (scanning sonars). Experiments in a simulated environment using up to four sensors simultaneously are presented. We also report experimental results obtained by a UUV inside a large power plant tunnel, together with a first map of this environment using a single sonar sensor.


Structures ◽  
2021 ◽  
Vol 31 ◽  
pp. 419-427
Author(s):  
Muhamad Aziman Abdul Malek ◽  
Raizal S.M. Rashid ◽  
Ahmad Azim Shukri ◽  
Mohamed El-Zeadani

Author(s):  
Mohamad Farid Misnan ◽  
Nor Hashim Mohd Arshad ◽  
Ruhizan Liza Ahmad Shauri ◽  
Noorfadzli Abd Razak ◽  
Norashikin M. Thamrin ◽  
...  

Author(s):  
Hesham Ismail ◽  
Balakumar Balachandran

In carrying out simultaneous localization and mapping, a mobile vehicle is used to simultaneously estimate its position and build a map of the environment. The long-term goal of this work is to build an autonomous inspection mobile vehicle for oil storage tanks and pipelines. The harsh environmental conditions in storage tanks and pipelines limit the types of feature extraction sensors and vehicle pose estimation sensors that one can use. Here, a SOund Navigation And Ranging (SONAR) sensor will be used for feature extraction, and a gyroscope and an encoder will be used for vehicle pose estimation. The integration of these sensors (SONAR, encoder, and gyroscope) will be discussed in this paper, along with the use of a recently developed algorithm fusion for SONAR sensors. The integration of the sensors represents a step towards implementation of concurrent localization and mapping progress in harsh environments.


Author(s):  
Rong Yang ◽  
Gee Wah Ng ◽  
Ning Ma ◽  
Chin Swee Chia
Keyword(s):  

2012 ◽  
Vol 152-154 ◽  
pp. 1195-1201
Author(s):  
Kuan Meng Tan ◽  
Tien Fu Lu ◽  
Amir Anvar

One of the key aspects in designing an Autonomous Underwater Vehicle (AUV) simulation framework is sensor modeling. This paper presents specifically the underwater sonar sensor modeling structure used in the proposed AUV simulation framework. This sensor model covers the mathematical aspects from the field of acoustics which mimics real world sensors. Simplified sonar signal models are widely used however rarely discussed in the literature. Based on this designed simulation framework, simple scenario using different sonar configuration is shown and discussed. This paper shows the formulation of a typical side-scan sonar with emphasis on the assumptions which leads to the simplification of the sonar model. The sonar sensor model is built based on a developed AUV test-bed which was done previously in the University of Adelaide.


Sign in / Sign up

Export Citation Format

Share Document