Demonstration of real-time tactical decision aid displays

Davis, William D.; Holmberg, David G.; Reneke, Paul A.; Brassell, Lori; Vettori, Robert L

doi:10.6028/nist.ir.7437

Cited by 3 publications

(11 citation statements)

References 2 publications

(2 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The discussion at several workshops [51,52] shows that a big concern is the amount of training a first responder would need to make use of this technology. As described in Davis and Evans [4] and Jones et al [20] first responders have a limited amount of time.…”

Section: Resultsmentioning

confidence: 99%

“…NIST also has worked with fire departments and others, especially the City of Wilson Fire Department, to develop methods to relay the information to personnel on scene so they can make informed decisions [51,52].…”

Section: Resultsmentioning

confidence: 99%

“…"New Approaches to the Interpretation of Signals from Fire Sensors," R. W. Bukowski, P. A. Reneke [30,31,32] "A Sensor-Driven Fire Model," W. D. Davis, G. P. Forney [35,36] "A Sensor-Driven Fire Model, Version 1.2," W. D. Davis [43] "Using Sensor Signals to Analyze Fires," W. D. Davis, T. G. Cleary, M. K. Donnelly, S. Hellerman [44] "Discriminating Between Smoldering and Flaming Fires Using Alarm Signals," W. D. Davis [45] "Alarm Information for Decision Support," W. D. Davis, S. Kerber, A. Barowy [46] "Modeling Smoldering Fires Using the Computer Model CONTAM," W. D. Davis [47] "Studying the Response of Building Systems to Fire Using a Virtual Cybernetic Building Test-Bed" W. D. Davis [49] [52] 9 References…”

Section: Evaluation Conditionsmentioning

confidence: 99%

See 2 more Smart Citations

Towards Smart Fire Panels

Reneke¹

2013

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Evaluation Conditionsmentioning

confidence: 99%

See 1 more Smart Citation

Towards Smart Fire Panels

Reneke¹

2013

View full text Add to dashboard Cite

“…In 2006 and 2007 [6], NIST expanded the scope of the work beyond standards for display of building information to include standard methods for accessing building information and moving the data over public safety networks to emergency dispatch and to responders en-route [7]. The 2007 proof-of-concept demonstration showed moving building information to responding apparatus en-route was possible, yet many significant challenges remain.…”

Section: Previous Workmentioning

confidence: 99%

Delivering Building Intelligence to First Responders

Holmberg¹,

Raymond²,

Averill³

2013

View full text Add to dashboard Cite

Presently, there is no integrated solution for delivering building systems data to emergency responders. A standard building data delivery solution will integrate the capacity of the building fire safety systems with the capabilities of the fire service, resulting in an improvement in firefighter safety and a reduction in commercial property losses due to fire. Remote access to these data would provide greatly improved situational awareness for emergency responders, reducing response times as well as time to size up and mitigate building fires. This paper reviews challenges of collecting, processing, and moving sensor data out of building systems, meshing with public safety networks and addressing network architecture and security issues. The paper then presents a summary of the current stateof-the-art, including a proposed data classification system. Finally, this paper presents a roadmap to address remaining challenges in enabling first responder access to critical building incident data.

show abstract

“…While underway, the gliders self-positioned using a kinematic model and intermittent A follow up paper, that took into account three different flight models of glider subsurface motion, found similar localization discrepancies from 600-900 m between those updated kinematic models and the acoustic derived position, using events that had at least three moored source contacts. 30 The estimates of post-processing error were constrained to 105 m; further refining of data errors reduced this to 85 m; and counterintuitively, neglecting doppler reduced this to 78 m. A key drawback of their approach is assuming a single temporally and spatially averaged SSP for all acoustic events from November 2010 to March 2011 (ostensibly, the glider itself could have collected more reasonable sound speed data).…”

Section: Known Sourcesmentioning

confidence: 99%

A Virtual Ocean framework for environmentally adaptive, embedded acoustic navigation on autonomous underwater vehicles

Bhatt¹

View full text Add to dashboard Cite

Autonomous underwater vehicles (AUVs) are an increasingly capable robotic platform, with embedded acoustic sensing to facilitate navigation, communication, and collaboration. The global positioning system (GPS), ubiquitous for air- and terrestrial-based drones, cannot position a submerged AUV. Current methods for acoustic underwater navigation employ a deterministic sound speed to convert recorded travel time into range. In acoustically complex propagation environments, however, accurate navigation is predicated on how the sound speed structure affects propagation. The Arctic’s Beaufort Gyre provides an excellent case study for this relationship via the Beaufort Lens, a recently observed influx of warm Pacific water that forms a widespread yet variable sound speed lens throughout the gyre. At short ranges, the lens intensifies multipath propagation and creates a dramatic shadow zone, deteriorating acoustic communication and navigation performance. The Arctic also poses the additional operational challenge of an ice-covered, GPSdenied environment. This dissertation demonstrates a framework for a physics-based, model-aided, real-time conversion of recorded travel time into range—the first of its kind—which was essential to the successful AUV deployment and recovery in the Beaufort Sea, in March 2020. There are three nominal steps. First, we investigate the spatio-temporal variability of the Beaufort Lens. Second, we design a human-in-the-loop graphical decision-making framework to encode desired sound speed profile information into a lightweight, digital acoustic message for onboard navigation and communication. Lastly, we embed a stochastic, ray-based prediction of the group velocity as a function of extrapolated source and receiver locations. This framework is further validated by transmissions among GPS-aided modem buoys and improved upon to rival GPS accuracy and surpass GPS precision. The Arctic is one of the most sensitive regions to climate change, and as warmer surface temperatures and shrinking sea ice extent continue to deviate from historical conditions, the region will become more accessible and navigable. Underwater robotic platforms to monitor these environmental changes, along with the inevitable rise in human traffic related to trade, fishing, tourism, and military activity, are paramount to coupling national security with international climate security.

show abstract

Demonstration of real-time tactical decision aid displays

Cited by 3 publications

References 2 publications

Towards Smart Fire Panels

Towards Smart Fire Panels

Delivering Building Intelligence to First Responders

A Virtual Ocean framework for environmentally adaptive, embedded acoustic navigation on autonomous underwater vehicles

Contact Info

Product

Resources

About