scholarly journals ERROR SOURCES IN PROCCESSING LIDAR BASED BRIDGE INSPECTION

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 455-459
Author(s):  
H. Bian ◽  
S. E. Chen ◽  
W. Liu
Keyword(s):  
Quality Management ◽  
Data Processing ◽  
Data Quality ◽  
Visual Inspection ◽  
Inspection System ◽  
Bridge Inspection ◽  
Error Sources ◽  
Scanning Angle ◽  
Management Framework ◽  
Inspection Data

Bridge inspection is a critical task in infrastructure management and is facing unprecedented challenges after a series of bridge failures. The prevailing visual inspection was insufficient in providing reliable and quantitative bridge information although a systematic quality management framework was built to ensure visual bridge inspection data quality to minimize errors during the inspection process. The LiDAR based remote sensing is recommended as an effective tool in overcoming some of the disadvantages of visual inspection. In order to evaluate the potential of applying this technology in bridge inspection, some of the error sources in LiDAR based bridge inspection are analysed. The scanning angle variance in field data collection and the different algorithm design in scanning data processing are the found factors that will introduce errors into inspection results. Besides studying the errors sources, advanced considerations should be placed on improving the inspection data quality, and statistical analysis might be employed to evaluate inspection operation process that contains a series of uncertain factors in the future. Overall, the development of a reliable bridge inspection system requires not only the improvement of data processing algorithms, but also systematic considerations to mitigate possible errors in the entire inspection workflow. If LiDAR or some other technology can be accepted as a supplement for visual inspection, the current quality management framework will be modified or redesigned, and this would be as urgent as the refine of inspection techniques.

Quality Assurance for Environmental Monitoring

1995 ◽  
Vol 30 (1) ◽  
pp. 1-8
Author(s):  
John Lawrence ◽  
Keijo I. Aspila
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Data Quality ◽  
Quality Assessment ◽  
Ecological Monitoring ◽  
Management Plan ◽  
Total Quality ◽  
Data Quality Management ◽  
Management Planning ◽  
Management Framework

Abstract A data quality management framework for ecological monitoring programs is described. A total quality management framework has three key elements: quality management planning, quality control, and quality assessment and audit. The quality management plan establishes the data quality objectives, the protocols and procedure documents to be followed, reporting schedules, training needs and the individuals to be held accountable. Quality control is the systematic set of procedures carried out by each operational unit involved in the measurement process. Quality assessment is the set of procedures designed to provide the overall check on data quality while verifying that the other components of the framework are adequate.

Integration of practical supplemental measurements into bridge condition visual inspection grading

2021 ◽  
Vol 16 (4) ◽  
pp. 139-153
Author(s):  
Nefize Shabana ◽  
Ozgur Avsar ◽  
Alp Caner
Keyword(s):  
Visual Inspection ◽  
Highway Bridges ◽  
Limited Information ◽  
End User ◽  
Visual Condition ◽  
Bridge Inspection ◽  
Concrete Degradation ◽  
The Difference ◽  
Inspection Data ◽  
Structural Engineers

The reliability of condition assessment of bridges obtained from analysis of visual inspection data is always a big concern among structural engineers. It has been known that the condition grading of a bridge is very subjective and can convey limited information to the end user. To finalize and verify the reported condition grading, inspectors and bridge owners have mainly been relying on images. It has been known that the image observation may not be sufficient to address all kinds of problems associated with visual condition grading. The integration of practical supplemental measurements into condition grading as proposed in this paper will contribute to minimize the errors in visual inspection. Measurement of vehicle induced vibrations through wireless accelerometers can be used to determine the natural frequencies of the bridge that can be reported at each inspection. The change in frequencies can be an indication of deterioration in stiffness of bridge over the years. Taking concrete samples by chipping at the inspection site and analyzing them under scanning electron microscope (SEM) at the laboratory can be used to identify the current problems with concrete degradation. In this scope, the regular bridge inspection procedure with the proposed enhancements has been performed on field inspection of highway bridges in Turkey to determine the practicality of the quick supplemental measurements and to analyze the difference in grading of the three different inspectors with different level of experiences.

scholarly journals Design and Analysis of Bridge Inspection System Based on Wireless Communication and Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Haidong Sun ◽  
Zhengtao Zhang ◽  
Peng Li
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Wireless Communication ◽  
The Internet ◽  
Inspection System ◽  
Bridge Inspection ◽  
Inspection Systems ◽  
Inspection Data ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The continuous development of information technology and various electronic devices has accelerated the process of informatization and digitization, enabling the development and application of the emerging technology of wireless communication and the Internet of Things. Since the continuous occurrence of vicious bridge collapse accidents in China in recent years, the problem of bridge inspection has become a hot topic among the people. At the same time, how to apply wireless communication and the Internet of Things technology to bridge inspection systems has also become a new research topic. This article mainly studies the design and analysis of bridge detection systems based on wireless communication and Internet of Things technology. In order to expand the field of bridge detection and standard management and improve the credibility and reliability of safety problem prediction and evaluation, the bridge detection system will integrate IoT sensing, internet, remote communication, digital signal analysis and processing, big data knowledge mining, big data prediction and other technologies, design and analysis of the main structure of roads and bridges, and other multifaceted knowledge fields and build a professional intelligent digital network based on bridge inspection data collection, monitoring, analysis, evaluation, and early warning. From design to use and maintenance of the bridge, a digital neural network spanning time and space throughout the life cycle is constructed to construct a digital brain with bridge sensing points as neurons. This paper uses high-power infrared sensor equipment, satellite positioning systems, sensor equipment, and other technical equipment to achieve the purpose of data communication and exchange and realize intelligent positioning, identification, supervision, tracking, and other functions, making the wireless communication and Internet of Things reliable transmission, comprehensive perception, intelligent processing, and other capabilities very effective in the field of bridge inspection. Through the research and analysis of this article, there are more and more bridge inspection systems developed by the Internet of Things and wireless communication technology in China, and the percentage of related equipment used can reach more than 90%. The functions of the bridge inspection system are becoming more and more complete, and the results of the inspection data are also increasing.

Bridge Inspection Quality Management

2005 ◽  
Vol 1933 (1) ◽  
pp. 2-8
Author(s):  
Jaakko I. Dietrich ◽  
Mikko A. Inkala ◽  
Vesa J. Männistö
Keyword(s):  
Quality Management ◽  
Quality Management System ◽  
Quality Level ◽  
Bridge Management ◽  
Bridge Inspection ◽  
Bridge Networks ◽  
Bridge Inspections ◽  
Inspection Data ◽  
Quality Measurements

Reliable data on the condition of bridge networks are critical for successful bridge management. However, little attention has been paid to the quality of the data gathered in bridge inspections. This paper reviews the most important areas of bridge inspection that cause variation in bridge condition data and presents possible misjudgments made as a result of poor inspection data quality. The main elements of the inspection quality management system adopted in the Finnish Road Administration are presented, and the development of the quality of inspection data in 2002 and 2003 is briefly summarized. The evidence shows that the quality of inspection data has improved considerably but that the current quality level is not yet sufficient. The quality control system could be improved by increasing inspector interaction during control inspections, using an independent consultant in inspection quality measurements and inspector training, increasing the number of quality measurements, and introducing quality targets.

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