The US Congress has passed legislation dictating that all government agencies establish a plan and process for
improving energy efficiencies at their sites. In response to this legislation, Oak Ridge National Laboratory (ORNL) has
recently conducted a pilot study to explore the deployment of a wireless sensor system for a real-time measurement-based
energy efficiency optimization framework within the steam distribution system within the ORNL campus. We
make assessments on the real-time status of the distribution system by observing the state measurements of acoustic
sensors mounted on the steam pipes/traps/valves. In this paper, we describe a spectral-based energy signature scheme
that interprets acoustic vibration sensor data to estimate steam flow rates and assess steam traps health status.
Experimental results show that the energy signature scheme has the potential to identify different steam trap health status
and it has sufficient sensitivity to estimate steam flow rate. Moreover, results indicate a nearly quadratic relationship
over the test region between the overall energy signature factor and flow rate in the pipe. The analysis based on
estimated steam flow and steam trap status helps generate alerts that enable operators and maintenance personnel to take
remedial action. The goal is to achieve significant energy-saving in steam lines by monitoring and acting on leaking
steam pipes/traps/valves.
The Extreme Measurement Communications Center at Oak Ridge National Laboratory (ORNL) explores the deployment
of a wireless sensor system with a real-time measurement-based energy efficiency optimization framework in the ORNL
campus. With particular focus on the 12-mile long steam distribution network in our campus, we propose an integrated
system-level approach to optimize the energy delivery within the steam distribution system. We address the goal of
achieving significant energy-saving in steam lines by monitoring and acting on leaking steam valves/traps. Our approach
leverages an integrated wireless sensor and real-time monitoring capabilities. We make assessments on the real-time
status of the distribution system by mounting acoustic sensors on the steam pipes/traps/valves and observe the state
measurements of these sensors. Our assessments are based on analysis of the wireless sensor measurements. We describe
Fourier-spectrum based algorithms that interpret acoustic vibration sensor data to characterize flows and classify the
steam system status. We are able to present the sensor readings, steam flow, steam trap status and the assessed alerts as
an interactive overlay within a web-based Google Earth geographic platform that enables decision makers to take
remedial action. We believe our demonstration serves as an instantiation of a platform that extends implementation to
include newer modalities to manage water flow, sewage and energy consumption.
KEYWORDS: Telecommunications, Performance modeling, Systems modeling, Visualization, Molybdenum, Visual analytics, Visual process modeling, Sensors, Computational complexity theory, Communication theory
Combat resiliency is the ability of a commander to prosecute, control, and consolidate his/her's sphere of influence
in adverse and changing conditions. To support this, an infrastructure must exist that allows the commander to view the
world in varying degrees of granularity with sufficient levels of detail to permit confidence estimates to be levied against
decisions and course of actions. An infrastructure such as this will include the ability to effectively communicate
context and relevance within and across the battle space. To achieve this will require careful thought, planning, and
understanding of a network and its capacity limitations in post-event command and control. Relevance and impact on
any existing infrastructure must be fully understood prior to deployment to exploit the system's full capacity and
capabilities. In this view, the combat communication network is considered an integral part of or National
communication network and infrastructure. This paper will describe an analytical tool set developed at ORNL and RNI
incorporating complexity theory, advanced communications modeling, simulation, and visualization technologies that
could be used as a pre-planning tool or post event reasoning application to support response and containment.
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