This paper describes the development of an in-pipe inspection robot system designed for large-diameter water pipes. The robot is equipped with a Magnetic Flux Leakage (MFL) sensor module. The robot system is intended for pipes with diameters ranging from 900 mm to 1200 mm. The structure of the in-pipe inspection robot consists of the front and rear driving parts, with the inspection module located centrally. The robot is powered by 22 motors, including eight wheels with motors positioned at both the bottom and the top for propulsion. To ensure that the robot's center aligns with that of the pipeline during operation, lifting units have been incorporated. The robot is equipped with cameras and LiDAR sensors at the front and rear to monitor the internal environment of the pipeline. Pipeline inspection is conducted using the MFL inspection modules, and the robot's driving mechanism is designed to execute spiral maneuvers while maintaining contact with the pipeline surface during rotation. The in-pipe inspection robot is configured with wireless communication modules and batteries, allowing for wireless operation. Following its development, the inspection robot underwent driving experiments in actual pipelines to validate its performance. The field test bed used for these experiments is approximately 1 km in length. Results from the driving experiments on the field test bed confirmed the robot's ability to navigate various curvatures and obstacles within the pipeline. It is posited that the use of the developed in-pipe inspection robot can reduce economic costs and enhance the safety of inspectors when examining aging pipes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11174578 | PMC |
http://dx.doi.org/10.3390/s24113470 | DOI Listing |
Tech Coloproctol
December 2024
Colorectal Surgery, Champalimaud Foundation, Av. Brasilia, 1400-038, Lisbon, Portugal.
Aim: The use of robotic surgery is increasing significantly. Specific training is fundamental to achieve high quality and better oncological outcomes. This work defines key exposure techniques in robotic total mesorectal excision (TME).
View Article and Find Full Text PDFFront Comput Neurosci
December 2024
School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient health. Addressing the issues of incomplete and inconsistent adverse event records, we employed a deep learning model that combines BERT and BiLSTM to predict whether adverse event reports resulted in patient harm. We developed the Bert-BiLSTM-Att_dropout model specifically for text classification tasks with small datasets, optimizing the model's generalization ability and key information capture through the integration of dropout and attention mechanisms.
View Article and Find Full Text PDFSci Rep
December 2024
Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
The fourth industrial revolution witnessed significant advancements in automating numerous aircraft inspection tasks. Still, certain critical procedures continue to rely on manual execution, including the aero-engine blade weighing process. This task is of paramount importance for blade mass inspection and engine dynamic balancing.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
High-voltage overhead power lines serve as the carrier of power transmission and are crucial to the stable operation of the power system. Therefore, it is particularly important to detect and remove foreign objects attached to transmission lines, as soon as possible. In this context, the widespread promotion and application of smart robots in the power industry can help address the increasingly complex challenges faced by the industry and ensure the efficient, economical, and safe operation of the power grid system.
View Article and Find Full Text PDFCureus
November 2024
Hellenic Minimally Invasive and Robotic Surgery (MIRS) Study Group, Medical School, National and Kapodistrian University of Athens, Athens, GRC.
Robotic surgery is increasingly used in otolaryngology (ENT), particularly for complex head and neck procedures. It offers various advantages, including limited postoperative pain, excellent aesthetic results, better visualization in the surgical field, enhanced dexterity due to movement adjustment by the robotic system, and minimal complications and hospital stay. However, robotic systems' higher cost and limited availability are a burden for clinical applications.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!