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Title: Eyes On the Ground: Path Forward Analysis.

Abstract

A previous report assesses our progress to date on the Eyes On the Ground project, and reviews lessons learned. In this report, we address the implications of those lessons in defining the most productive path forward for the remainder of the project. We propose two main concepts: Interactive Diagnosis and Model-Driven Assistance. Among these, the Model-Driven Assistance concept appears the most promising. The Model-Driven Assistance concept is based on an approximate but useful model of a facility, which provides a unified representation for storing, viewing, and analyzing data that is known about the facility. This representation provides value to both inspectors and IAEA headquarters, and facilitates communication between the two. The concept further includes a lightweight, portable field tool to aid the inspector in executing a variety of inspection tasks, including capture of images and 3-d scan data. We develop a detailed description of this concept, including its system components, functionality, and example use cases. The envisioned tool would provide value by reducing inspector cognitive load, streamlining inspection tasks, and facilitating communication between the inspector and teams at IAEA headquarters. We conclude by enumerating the top implementation priorities to pursue in the remaining limited time of the project. Approved formore » public release; further dissemination unlimited.« less

Authors:
 [1];  [1];  [1];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1431237
Report Number(s):
SAND2018-3210
661793
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Brost, Randolph, Little, Charles Q., Peter-Stein, Natacha, and Wade, James Rokwel. Eyes On the Ground: Path Forward Analysis.. United States: N. p., 2018. Web. doi:10.2172/1431237.
Brost, Randolph, Little, Charles Q., Peter-Stein, Natacha, & Wade, James Rokwel. Eyes On the Ground: Path Forward Analysis.. United States. doi:10.2172/1431237.
Brost, Randolph, Little, Charles Q., Peter-Stein, Natacha, and Wade, James Rokwel. Thu . "Eyes On the Ground: Path Forward Analysis.". United States. doi:10.2172/1431237. https://www.osti.gov/servlets/purl/1431237.
@article{osti_1431237,
title = {Eyes On the Ground: Path Forward Analysis.},
author = {Brost, Randolph and Little, Charles Q. and Peter-Stein, Natacha and Wade, James Rokwel},
abstractNote = {A previous report assesses our progress to date on the Eyes On the Ground project, and reviews lessons learned. In this report, we address the implications of those lessons in defining the most productive path forward for the remainder of the project. We propose two main concepts: Interactive Diagnosis and Model-Driven Assistance. Among these, the Model-Driven Assistance concept appears the most promising. The Model-Driven Assistance concept is based on an approximate but useful model of a facility, which provides a unified representation for storing, viewing, and analyzing data that is known about the facility. This representation provides value to both inspectors and IAEA headquarters, and facilitates communication between the two. The concept further includes a lightweight, portable field tool to aid the inspector in executing a variety of inspection tasks, including capture of images and 3-d scan data. We develop a detailed description of this concept, including its system components, functionality, and example use cases. The envisioned tool would provide value by reducing inspector cognitive load, streamlining inspection tasks, and facilitating communication between the inspector and teams at IAEA headquarters. We conclude by enumerating the top implementation priorities to pursue in the remaining limited time of the project. Approved for public release; further dissemination unlimited.},
doi = {10.2172/1431237},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

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