Vision-based system for long-term remote monitoring of large civil engineering structures: design, testing, evaluation

Vasileva, Anna V.; Vasilev, Aleksandr S.; Konyakhin, Igor A.

doi:10.1088/1361-6501/aae234

Cited by 10 publications

(8 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e climatic, environmental, economic, and sociopolitical challenges within civil projects make it di cult in digitization within the construction industry. Since last decade, computer-based monitoring systems and simulations using image processing, AI, ML, and others have piqued the interest among civil engineering community as a cost-e ective and unobtrusive solution for image and video data collection and analysis in many construction organizations [1][2][3][4][5][6][7][8][9][10][11][12][13]. As a result, several applications were targeted by previous researchers in 3D imaging technologies for construction management, progress monitoring [9,10], safety [14], and quality control [15,16].…”

Section: Introductionmentioning

confidence: 99%

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

Salunkhe

Gobinath²,

Vinay³

et al. 2022

Advances in Civil Engineering

View full text Add to dashboard Cite

Technological advancements in electronic storage have been trending for cloud computing. The revolution of this computer technology with machine learning and artificial intelligence has created prodigious platforms to the various disciplines of science and technology. Civil engineering is the oldest discipline, and due to the never-ending demand of this domain, it is rapidly adapting to newer computer techniques like image processing, deep learning, big data analysis, neural networks, building information modeling (BIM), unmanned aerial vehicle (UAV) system, digital image correlation (DIC), and many more. In the current paper, we portrayed the primary research and achievements of AI and image processing applications in the civil domain. The paper is divided in two parts. The first part provides analysis of existing methods along with examples relevant to the civil domain where it is incorporated. The second part elaborates scientometric study constituting 605 documents (Science Direct database) published in the last two decades. The bibliometrics are further used for producing analytical frameworks based on publications, citations, top journals, top institutions, and funding sources. This study serves as a guide for readers to identify research gaps and use the review for potential future study.

show abstract

Section: Introductionmentioning

confidence: 99%

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

Salunkhe

Gobinath²,

Vinay³

et al. 2022

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…A measurement system consisting of a single objective lens and CMOS multimatrix has a strong anti-interference ability, and it is easier to install temperature control, humidity control, IR filters, and other devices inside the system to calibrate the impact of environmental changes on the measurement accuracy. Therefore, the accuracy of the system measurement in a complex environment such as a wide temperature range, rain, and snow climate is guaranteed [18]. The above characteristics provide the basic experimental support for the engineering design proposed in this study.…”

Section: Experimental Base Unit Setupmentioning

confidence: 75%

“…To improve the accuracy of the measurement, the FPGA needs to capture 30 frames from the CMOS multi-matrix and calculate the average value to determine the coordinates of the image. The information-processing algorithm and FPGA parameters of the measurement unit mentioned in this study can be found in [14], [18]. Then the frame grabber is used and the image coordinate information is transmitted to the data analysis computer through the CMOS multi-matrix interface RS-485.…”

Section: Base Unit Schemementioning

confidence: 99%

CMOS Multi-Matrix Optoelectronic System for High Speed Measurement of Main Mirror Deformation Large Diameter Radio Telescope

Qin

Konyakhin

et al. 2020

IEEE Access

View full text Add to dashboard Cite

A complementary metal-oxide semiconductor (CMOS) multi-matrix-based optoelectronic system is proposed and studied to measure the deformation of each connection point of a large full-rotatable radio telescope. The system is based on 18 multi-matrix base units. Theoretical investigations demonstrate that the system can provide real-time measurement of multi-point displacements quickly (within 21 seconds). Experimental investigations reveal that the actual measurement error of the photoelectric measurement unit designed in this paper is 0.024 mm. It is inferred that the measurement displacement error will not exceed 0.05 mm in an actual measurement of the full main mirror of the large diameter radio telescope, thus confirming the feasibility of the system. INDEX TERMS Measuring deformations, millimeter-range radio telescope, multi-matrix measurement system, optoelectronic system.

show abstract

“…In addition to the image total station, some related infrastructure-monitoring applications combine laser ranging and vision. Vasileva et al [ 98 ] proposed a monitoring system similar to the image total station, but different from the total station. The laser and camera of this system were not coaxial, and a heating device was added to monitor the infrastructure displacement at a low temperature.…”

Section: Vision–laser-based Infrastructure Monitoringmentioning

confidence: 99%

A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring

Zhou

Tang

et al. 2022

Sensors

View full text Add to dashboard Cite

Structural health and construction security are important problems in civil engineering. Regular infrastructure inspection and monitoring methods are mostly performed manually. Early automatic structural health monitoring techniques were mostly based on contact sensors, which usually are difficult to maintain in complex infrastructure environments. Therefore, non-contact infrastructure inspection and monitoring techniques received increasing interest in recent years, and they are widely used in all aspects of infrastructure life, owing to their convenience and non-destructive properties. This paper provides an overview of vision-based inspection and vision–laser-based monitoring techniques and applications. The inspection part includes image-processing algorithms, object detection, and semantic segmentation. In particular, infrastructure monitoring involves not only visual technologies but also different fusion methods of vision and lasers. Furthermore, the most important challenges for future automatic non-contact inspections and monitoring are discussed and the paper correspondingly concludes with state-of-the-art algorithms and applications to resolve these challenges.

show abstract

Vision-based system for long-term remote monitoring of large civil engineering structures: design, testing, evaluation

Cited by 10 publications

References 28 publications

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

CMOS Multi-Matrix Optoelectronic System for High Speed Measurement of Main Mirror Deformation Large Diameter Radio Telescope

A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring

Contact Info

Product

Resources

About