Water and Wastewater Pipeline Assessment Technologies : Classification Systems, Sensors, and Results Interpretation book cover
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Water and Wastewater Pipeline Assessment Technologies
Classification Systems, Sensors, and Results Interpretation




ISBN 9780367188450
Published June 1, 2021 by CRC Press
288 Pages 102 B/W Illustrations

 
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Book Description

Water and wastewater infrastructure are a somewhat invisible, yet critical, part of modern life. Incredibly, many buried assets have been in service for 50-100 years and are still in good condition. Conversely, other systems fail well before their predicted design lives, causing property damage, injury, and even loss of life. In many cases, early detection could have prevented catastrophic failure, and understanding the state of underground infrastructure has become a key priority for many municipalities. Industry has responded with a number of new and innovative technologies for condition assessment, however, understanding these tools can be difficult, as many vendors treat their proprietary systems as trade secrets.

 

Water and Wastewater Pipeline Assessment Technologies: Classification Systems, Sensors, and Results Interpretation provides a thorough guide to the technical workings of some of the most popular water and wastewater assessment technologies available, including CCTV crawlers, acoustic listening devices, laser sensors, 360˚ video cameras, pipe penetrating radar, and more.

 

Features:

  • Presents an overview of current technologies in CCTV inspection, including next generation video formats, high-definition resolution, and fisheye/sidescan technology.
  • Provides helpful tips and tricks to cut through technical jargon and identify the technological specifications to compare between multiple vendors.
  • Examines the pros and cons of competing technologies including laser and lidar, and provides an overview of unique approaches such as Pipe Penetrating Radar, Focused Electrode Leak Location, and more.
  • Highlights the importance of coding standards, data management, and software tools that can be leveraged to create a successful asset management program.

 

Water and Wastewater Pipeline Assessment Technologies: Classification Systems, Sensors, and Results Interpretation provides a mixture of theory and real-world, practical considerations ranging from deployment tips and data exchange formats to the technical limitations of different technologies. The book is a valuable resource for municipal employees, project engineers, and others involved in designing and implementing major inspection programs.

Table of Contents

Infrastructure and the Need for Condition Assessment. Visual Inspection Technology and Data Coding Systems. Classifying and Analyzing Visual Inspection Data. Quantifying Condition Above and Below the Flow: An Overview of Sonar and Laser Technologies. Methods for Detecting Hydrogen Sulfide Gas. Leak Detection Introduction – Static Sensors and Acoustic Inspections. Other Leak Detection Technologies: Focused Electrodes, Gas Tracers, and Infrared Imaging. Condition Assessment in Water Lines. Manholes, Laterals and Ancillary Structures. Software Packages & Asset Management. Future Trends in Condition Assessment. The Importance of Condition Assessment. Appendix A. Index.

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Author(s)

Biography

Justin Starr is an avid roboticist and entrepreneur. He has worked on different facets of robotic systems since 2007, including several defense programs for QinetiQ North America’s Technology Solutions Group. He was also Chief Technology Officer of RedZone Robotics, Inc., a developer of multi-sensor inspection devices. Dr. Starr currently holds 5 U.S. Patents for innovative infrastructure inspection devices and is an Assistant Professor of Engineering Technologies at the Community College of Allegheny County, where he teaches multiple courses on mechatronics, microcontrollers, telecommunications and industrial robotics. He is also a Senior Technical Advisor at PreScouter, Inc., advising corporate clients on advances and developments in robotic systems, and is a co-founder of Janus Robotics, Inc., a startup applying AI to disaster relief and recovery operations. Dr. Starr earned his PhD and MS in Materials Science & Engineering from the University of Florida and his BS in Engineering Science from the University of Virginia. When he isn’t working, Justin enjoys collecting older Volvo cars, homebrewing, and aquaponic gardening.