State machine analysis of sensor data from dynamic processes
Abstract
A state machine model analyzes sensor data from dynamic processes at a facility to identify the actual processes that were performed at the facility during a period of interest for the purpose of remote facility inspection. An inspector can further input the expected operations into the state machine model and compare the expected, or declared, processes to the actual processes to identify undeclared processes at the facility. The state machine analysis enables the generation of knowledge about the state of the facility at all levels, from location of physical objects to complex operational concepts. Therefore, the state machine method and apparatus may benefit any agency or business with sensored facilities that stores or manipulates expensive, dangerous, or controlled materials or information.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1174647
- Patent Number(s):
- 6668203
- Application Number:
- 09/844,028
- Assignee:
- Sandia Corporation (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING
Citation Formats
Cook, William R., Brabson, John M., and Deland, Sharon M. State machine analysis of sensor data from dynamic processes. United States: N. p., 2003.
Web.
Cook, William R., Brabson, John M., & Deland, Sharon M. State machine analysis of sensor data from dynamic processes. United States.
Cook, William R., Brabson, John M., and Deland, Sharon M. Tue .
"State machine analysis of sensor data from dynamic processes". United States. https://www.osti.gov/servlets/purl/1174647.
@article{osti_1174647,
title = {State machine analysis of sensor data from dynamic processes},
author = {Cook, William R. and Brabson, John M. and Deland, Sharon M.},
abstractNote = {A state machine model analyzes sensor data from dynamic processes at a facility to identify the actual processes that were performed at the facility during a period of interest for the purpose of remote facility inspection. An inspector can further input the expected operations into the state machine model and compare the expected, or declared, processes to the actual processes to identify undeclared processes at the facility. The state machine analysis enables the generation of knowledge about the state of the facility at all levels, from location of physical objects to complex operational concepts. Therefore, the state machine method and apparatus may benefit any agency or business with sensored facilities that stores or manipulates expensive, dangerous, or controlled materials or information.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2003},
month = {12}
}