Internet of Things in Smart Sewer and Drainage Systems: Theory and Applications

ISBN-13: 9783031481086 / Angielski

Abdul Salam

Spis treści

Introduction to Sewer and Drainage Systems.- Applications of Digital Technologies in Sewer System Management.- Attenuation Properties of Gravel and Other Layered Mediums.- IoT for Sewer Conditions Assessment.- Path Loss in Sewer Mains, Manholes, and Surface Facilities.- Medium Access Control in Surface Facilities.- IoT and Preventive Maintenance of Sanitary Sewers.- Sensors and Antennas in Drainage Systems.- Impulse Response Measurements to Prevent Combined Sewer Overflows.-  Attenuation Measurements in Different Sewer Environments.- Sensor-free Resonant Frequency Sensing in Storm Drains and Sanitary Sewers Testbeds.- Real-time Data Collection and Decision Making in Sanitary Systems.- Case Studies: Cities Using IoT for CSO.- A Survey of Existing Sensors Systems in Collection Systems Management.

O autorze

Dr. Abdul Salam is an Assistant Professor in the Department of Computer and Information Technology at Purdue University, where he is also the Director of the Environmental Networking Technology Laboratory. He has also taught at the Bahauddin Zakariya University, Multan, and Islamia University, Bahawalpur. Dr. Salam served in the Pakistan Army for nine years in several command, staff, and field roles and held the principal position at the Army Public School and College, Thal Cantonment. He has won several awards, including the International Conference on Computer Communication and Networks (ICCCN) 2016 Best Student Paper Award, the Robert B. Daugherty Water for Food Institute Fellowship, the Gold Medal MS (CS) on securing the first position in order of merit, and the 2016–2017 Outstanding Graduate Student Research Award from the University of Nebraska–Lincoln. He is the author of the books Internet of Things for Sustainable Community Development (Springer, 2020) and Signals in the Soil (Springer, 2020). Dr. Salam has published over 50 research articles in major journals and international conferences. His recent research focuses on underground soil sensing, wireless communications, the Internet of Underground Things in digital agriculture, sensor-guided irrigation systems, and vehicular communications. He served as an Associate Editor for the IEEE GRSS Remote Sensing Code Library from 2016 to 2018 and is an Associate Editor of the journals Advanced Electromagnetics and Array. Dr. Salam received his B.Sc. and M.S. degrees in computer science from Bahauddin Zakariya University, Multan, Pakistan, in 2001 and 2004, respectively, the M.S. degree in computer engineering from UET, Taxila, Pakistan, in 2012, and the Ph.D. degree in computer engineering from the Cyber-Physical Networking Laboratory, Department of Computer Science and Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA.

 

 

 

Blurb

This multidisciplinary book provides insights into the applications of the Internet of Things (IoT) to combined sewer overflows (CSO) and stormwater management (SWM) systems. It explores technical challenges and presents recent results to improve sewer and drainage system management using wireless underground communications and sensing in IoT. The book addresses both existing sensing network technologies and those currently in development in three major areas of CSO: combined sewer overflow management, subsurface sensing, and antennas in the layered medium. It explores new applications of IoT in sewer systems to improve public health, foster economic growth, and enhance environmental quality and responsibility for the community.

Internet of Things in Smart Sewer and Drainage Systems: Theory and Applications will be a valuable reference for graduate students and academic researchers, as well as a hands-on guide for wastewater technicians, sanitary engineers, environmental specialists, and related industry practitioners.

Explains fundamental applications in easy-to-understand language;

• Provides a complete reference on all aspects of sewer and drainage systems;
• Includes MATLAB programs for models and analysis.