A Vision-Based System for Internal Pipeline Inspection

Piciarelli, Claudio; Avola, Danilo; Pannone, Daniele; Foresti, Gian Luca

doi:10.1109/tii.2018.2873237

Cited by 73 publications

(34 citation statements)

References 30 publications

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“…Omnidirectional vision sensors allow for a full view of the internal surface of the pipe. The full view is either produced by a catadioptric camera system [ 23 , 44 , 50 , 55 , 58 ] or by the use of fish-eye lenses [ 9 , 25 , 28 , 29 , 32 , 53 ]. Omnidirectional vision sensors provide a view of the entirety of the pipe with just a single sensor and are used in combination with laser profilometry [ 9 , 23 , 44 , 50 , 55 ] or stereo matching [ 25 , 29 , 32 , 53 , 58 ] approaches.…”

Section: Related Workmentioning

confidence: 99%

3D Sensors for Sewer Inspection: A Quantitative Review and Analysis

Bahnsen

Johansen

Philipsen

et al. 2021

Sensors

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Automating inspection of critical infrastructure such as sewer systems will help utilities optimize maintenance and replacement schedules. The current inspection process consists of manual reviews of video as an operator controls a sewer inspection vehicle remotely. The process is slow, labor-intensive, and expensive and presents a huge potential for automation. With this work, we address a central component of the next generation of robotic inspection of sewers, namely the choice of 3D sensing technology. We investigate three prominent techniques for 3D vision: passive stereo, active stereo, and time-of-flight (ToF). The Realsense D435 camera is chosen as the representative of the first two techniques wheres the PMD CamBoard pico flexx represents ToF. The 3D reconstruction performance of the sensors is assessed in both a laboratory setup and in an outdoor above-ground setup. The acquired point clouds from the sensors are compared with reference 3D models using the cloud-to-mesh metric. The reconstruction performance of the sensors is tested with respect to different illuminance levels and different levels of water in the pipes. The results of the tests show that the ToF-based point cloud from the pico flexx is superior to the output of the active and passive stereo cameras.

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Section: Related Workmentioning

confidence: 99%

3D Sensors for Sewer Inspection: A Quantitative Review and Analysis

Bahnsen

Johansen

Philipsen

et al. 2021

Sensors

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“…Visual computing technologies play an important role in several manufacturing tasks. Particularly nowadays, their role is crucial due to the new Industry 4.0 applications including manufacturing inspection [1], quality control [2], reverse engineering [3], digital twin [4] as well as autonomous repair operations. While the use of this new type of applications will expand, the number of the digital 3D models will be also increased, resulting in the interest for more accurate 3D model processing.…”

Section: Introductionmentioning

confidence: 99%

Robust and Fast 3-D Saliency Mapping for Industrial Modeling Applications

Arvanitis

Lalos

Μουστάκας

2021

IEEE Trans. Ind. Inf.

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New generation 3D scanning technologies are expected to create a revolution at the Industry 4.0, facilitating a large number of virtual manufacturing tools and systems. Such applications require the accurate representation of physical objects and/or systems achieved through saliency estimation mechanisms that identify certain areas of the 3D model, leading to a meaningful and easier to analyze representation of a 3D object. 3D saliency mapping is, therefore, guiding the selection of feature locations and is adopted in a large number of low-level 3D processing applications including denoising, compression, simplification and registration. In this work, we propose a robust and fast method for creating 3D saliency maps that accurately identifies sharp and small scale geometric features in various industrial 3D models. An extensive experimental study using a large number of 3D scanned and CAD models, verifies the effectiveness of the proposed method as compared to other recent and relevant approaches despite the constraints posed by complex geometry patterns or the presence of noise. Index Terms-3D Mesh saliency mapping, industrial modeling & applications, spectral & geometric analysis for vertex saliency.

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“…To monitor the conditions of the inlet and outlet pipes of the CSO, several pipe inspection methods have had either destructive or non-destructive testing approaches proposed and implemented in the literature [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Currently, closed circuit television (CCTV) methods [ 16 , 17 ] are one of the most common ways to survey the pipe. Several fast and efficient alternative methods to analyse the condition of a sewer pipe wall objectively were proposed [ 8 , 10 , 18 , 19 , 20 , 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

An Acoustic Sensor for Combined Sewer Overflow (CSO) Screen Condition Monitoring in a Drainage Infrastructure

See

Horoshenkov

Ali

et al. 2021

Sensors

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Combined sewer overflow structures (CSO) play an important role in sewer networks. When the local capacity of a sewer system is exceeded during intense rainfall events, they act as a “safety valve” and discharge excess rainfall run-off and wastewater directly to a natural receiving water body, thus preventing widespread urban flooding. There is a regulatory requirement that solids in CSO spills must be small and their amount strictly controlled. Therefore, a vast majority of CSOs in the UK contain screens. This paper presents the results of a feasibility study of using low-cost, low-energy acoustic sensors to remotely assess the condition of CSO screens to move to cost-effective reactive maintenance visits. In situ trials were carried out in several CSOs to evaluate the performance of the acoustic sensor under realistic screen and flow conditions. The results demonstrate that the system is robust within ±2.5% to work successfully in a live CSO environment. The observed changes in the screen condition resulted in 8–39% changes in the values of the coefficient in the proposed acoustic model. These changes are detectable and consistent with observed screen and hydraulic data. This study suggested that acoustic-based sensing can effectively monitor the CSO screen blockage conditions and hence reduce the risk of non-compliant CSO spills.

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A Vision-Based System for Internal Pipeline Inspection

Cited by 73 publications

References 30 publications

3D Sensors for Sewer Inspection: A Quantitative Review and Analysis

3D Sensors for Sewer Inspection: A Quantitative Review and Analysis

Robust and Fast 3-D Saliency Mapping for Industrial Modeling Applications

An Acoustic Sensor for Combined Sewer Overflow (CSO) Screen Condition Monitoring in a Drainage Infrastructure

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