Development of modularized in-pipe inspection robotic system: MRINSPECT VII+

Robotica ◽  
2021 ◽  
pp. 1-24
Author(s):  
Heesik Jang ◽  
Ho Moon Kim ◽  
Min Sub Lee ◽  
Yong Heon Song ◽  
Yoongeon Lee ◽  
...  

Abstract This paper presents a modularized autonomous pipeline inspection robot called MRINSPECT VII+, which we recently developed. MRINSPECT VII+ is aimed at inspect in-service urban gas pipelines with a diameter of 200 mm. The robot consists of five basic modules: driving, sensing, joint, and battery modules. For nondestructive testing (NDT), an NDT module can be added to the system. The driving module uses a multiaxial differential gear mechanism to provide traction forces to the robot. The sensor module recognizes the pipeline element using position-sensitive detector (PSD) sensors and a CCD camera. The control module contains a computing unit and manages the robot’s autonomous navigation. The battery module supplies power to the system. Each module is connected via backdrivable active joint modules, which provide flexibility while moving inside narrow pipelines. Additionally, the wireless communication module helps the system communicate with the ground station. We tested MRINSPECT VII+ in real pipeline environments and validated its feasibility successfully.

2019 ◽  
Vol 31 (6) ◽  
pp. 772-780
Author(s):  
Atsushi Kakogawa ◽  
◽  
Yuki Komurasaki ◽  
Shugen Ma

This paper presents a shadow-based operation assistant method for a pipeline-inspection robot using a variance value of the image histogram. By displacing the position of the head camera relative to that of the illuminator, a crescent-shaped shadow appears in the images captured in a bent pipe. The size, position, and orientation of the shadow depend on the robot’s orientation around the pipe axis. By applying the pathway direction of the bent pipe obtained from the image processing to the rolling movement, the robot can automatically adjust its roll-orientation. Experiments were conducted in four types of pipeline environments to verify the autonomous navigation. These include a complex winding pipeline, a long straight pipe, and pipelines with replicated dust and dirt.


2020 ◽  
Author(s):  
Prasanthi Ambati ◽  
K. M. Suman Raj ◽  
A. Joshuva

2020 ◽  
Vol 11 (1) ◽  
pp. 298
Author(s):  
Youchung Chung

In this paper, an inverted F type antenna (IFA) for ZigBee communication of a sensor board has been designed and optimized, and it replaces the chip antenna on an RF (Radio Frequency) module that is not performing well enough for the ZigBee communication. The sensor board detects cattle behavior and identifies the breeding (estrus) period and transmits the data to the main station by the RF (Radio Frequency) module and IFA antenna. The proposed and optimized TRx (transmitting/receiving) IFA antenna of the ZigBee communication module has a return loss of −19 dB and a gain of 1.6 dB at 2.45 GHz. The size is about 2.5 × 0.5 cm in width and vertical length, and the height is 0.55 cm. The strength of signals with the chip antenna and the IFA antenna have been measured and compared. There is about a 20 dB enhancement with the IFA antenna compared to the chip antenna. The antenna is designed and applied to the RF transmission and reception (TRx) module. This antenna and sensor module can be applied to livestock in general as well as cattle.


Author(s):  
Ravi Kant Jain ◽  
Abhijit Das ◽  
A. Mukherjee ◽  
Santosha Goudar ◽  
Ankita Mistri ◽  
...  

2014 ◽  
Vol 1065-1069 ◽  
pp. 3297-3300
Author(s):  
Yin Wang

Design using MSP430 microcontroller core, control GSM wireless communication module implements remote car alarm warning systems, from system components, as well as hardware and software design works done in detail, the system triggers an alarm through the sensor module, enter through the microcontroller to TC35i AT command so that it can promptly send a short message to alert the owner, breaking the traditional alarm distance limitations, with good market prospects.


2015 ◽  
Vol 762 ◽  
pp. 163-168 ◽  
Author(s):  
Mihai Olimpiu Tătar ◽  
Ioan Ardelean ◽  
Dan Mândru

Inspection and exploration represent a challenging domain in the field of robotics because of the hazardous and limited workspace to which the robots have to adapt and because of the reduced ability to monitor and acquire data about the inspected environment. A pipeline inspection robot must ensure sufficient traction force to pull its tether cable and other equipment while travelling inside a pipeline to complete inspection, maintenance, and repair tasks. This paper presents the design of three minirobots with adaptable structure for in pipe inspection and the experimental determination of their traction force. To measure the traction force of the minirobots, the Xplorer GLX digital measuring device was used.


Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 4041
Author(s):  
Francesco de Gioia ◽  
Gabriele Meoni ◽  
Gianluca Giuffrida ◽  
Massimiliano Donati ◽  
Luca Fanucci

Individual spacecraft manual navigation by human operators from ground station is expected to be an emerging problem as the number of spacecraft for space exploration increases. Hence, as an attempt to reduce the burden to control multiple spacecraft, future missions will employ smart spacecraft able to navigate and operate autonomously. Recently, image-based optical navigation systems have proved to be promising solutions for inexpensive autonomous navigation. In this paper, we propose a robust image processing pipeline for estimating the center and radius of planets and moons in an image taken by an on-board camera. Our custom image pre-processing pipeline is tailored for resource-constrained applications, as it features a computationally simple processing flow with a limited memory footprint. The core of the proposed pipeline is a best-fitting model based on the RANSAC algorithm that is able to handle images corrupted with Gaussian noise, image distortions, and frame drops. We report processing time, pixel-level error of estimated body center and radius and the effect of noise on estimated body parameters for a dataset of synthetic images.


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