The BROOM system.
Abstract
The Building Restoration Operations Optimization Model (BROOM) is a software product developed to assist in the restoration of major transport facilities in the event of an attack involving chemical or biological materials. As shown in Figure 3-1, the objective of this work is to replace a manual, paper-based data entry and tracking system with an electronic system that should be much less error-prone. It will also manage the sampling data efficiently and produce contamination maps in a more timely manner.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1024461
- Report Number(s):
- SAND2010-6061C
TRN: US201119%%394
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proposed for presentation at the IBRD Capstone Meeting held September 21-23, 2010 in Seattle, WA.
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; BIOLOGICAL MATERIALS; CONTAMINATION; OPTIMIZATION; SAMPLING; TRANSPORT
Citation Formats
Knowlton, Robert G, and Melton, Brad Joseph. The BROOM system.. United States: N. p., 2010.
Web.
Knowlton, Robert G, & Melton, Brad Joseph. The BROOM system.. United States.
Knowlton, Robert G, and Melton, Brad Joseph. 2010.
"The BROOM system.". United States.
@article{osti_1024461,
title = {The BROOM system.},
author = {Knowlton, Robert G and Melton, Brad Joseph},
abstractNote = {The Building Restoration Operations Optimization Model (BROOM) is a software product developed to assist in the restoration of major transport facilities in the event of an attack involving chemical or biological materials. As shown in Figure 3-1, the objective of this work is to replace a manual, paper-based data entry and tracking system with an electronic system that should be much less error-prone. It will also manage the sampling data efficiently and produce contamination maps in a more timely manner.},
doi = {},
url = {https://www.osti.gov/biblio/1024461},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Sep 01 00:00:00 EDT 2010},
month = {Wed Sep 01 00:00:00 EDT 2010}
}
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