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Research on dredging operation and management

Research on dredging operation and management

(OP)
INTRODUCTION
The e-Construction Group at the University of Maryland (UMD), Department of Civil and Environmental Engineering, is developing a proof of concept for a Web-based management system for dredging projects. The Maryland Technology Enterprise Institute (MTECH), the UMD Office of Technology Commercialization (OTC) and the National Science Foundation (NSF) are supporting the project and assessing the system proof of concept.
PROJECT DESCRIPTION
The system is a web-based operations decision support system to improve dredging operations and management processes. The core objective of the system is to capture live dredge operating and programmatic data, transmit, archive, process it for analysis and reporting, and redistribute it to stakeholders in real-time for management and decision making. The data is captured, archived, analyzed, and reported using a combination of desktop, web-based technology, relational databases, and transmission Internet protocols.
The system introduces several brand-new functionalities that enhance dramatically the management efficiency of dredging projects: 1) Real-time interaction between the dredge cutter head and the bottom surface; 2) Acquisition and recording of all dredging operating parameters; 3) Real-time volume calculation during operation; 4) 2D and 3D real-time rendering on computer screens locally and over the internet so that Stakeholders can see, supervise, and validate the work at any time and from any location on the globe; 5) multidimensional views of the dredge, depth, and waterbed surface; 6) Improves business strategic intelligence processes by allowing seamless connectivity between the dredge and management using modern communication devices; 7) Permanent connectivity to the Internet even in remote areas.
The system components can be used independently or simultaneously depending on the user needs.
BENEFITS
The objectives of the system is to reduce the operational and managerial uncertainties due to construction errors –excavating outside of the design section, lack of information sharing, incomplete information, lack of understanding of site conditions, lack of quality information –during QC/QA processes. This is achieved because the system captures and shares information over different geographic locations in real-time for decision making, and preserves data integrity for future analysis and forecasting. Reducing the uncertainty will reduce the probability of having claims, change orders, scope creep, rework, schedule delays, and cost increase. Figures 1 to 4 show system components interfaces.

These functions can be achieved seamlessly under one single user environment. The system can complement and be integrated to other existing dredging project management systems facilitating sharing, sustainability, and resilience of the data management.

If you are interested in participating in the conversation please contact: gvecino@dredgehead.com or go to www.facebook.com/dredgehead

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