Three neural network based sensor systems for environmental monitoring
Compact, portable systems capable of quickly identifying contaminants in the field are of great importance when monitoring the environment. One of the missions of the Pacific Northwest Laboratory is to examine and develop new technologies for environmental restoration and waste management at the Hanford Site. In this paper, three prototype sensing systems are discussed. These prototypes are composed of sensing elements, data acquisition system, computer, and neural network implemented in software, and are capable of automatically identifying contaminants. The first system employs an array of tin-oxide gas sensors and is used to identify chemical vapors. The second system employs an array of optical sensors and is used to identify the composition of chemical dyes in liquids. The third system contains a portable gamma-ray spectrometer and is used to identify radioactive isotopes. In these systems, the neural network is used to identify the composition of the sensed contaminant. With a neural network, the intense computation takes place during the training process. Once the network is trained, operation consists of propagating the data through the network. Since the computation involved during operation consists of vector-matrix multiplication and application of look-up tables unknown samples can be rapidly identified in the field.
- Research Organization:
- Pacific Northwest Lab., Richland, WA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC06-76RL01830; FG06-89ER75522
- OSTI ID:
- 10165746
- Report Number(s):
- PNL-SA--24175; CONF-9405197--1; ON: DE94014557; BR: 820201000/KE0103000
- Country of Publication:
- United States
- Language:
- English
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12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES
54 ENVIRONMENTAL SCIENCES
540220
540230
99 GENERAL AND MISCELLANEOUS
990200
CHEMICALS MONITORING AND TRANSPORT
CONTAMINATION
ENVIRONMENT
GAMMA SPECTROMETERS
GROUND WATER
HANFORD RESERVATION
HAZARDOUS MATERIALS
MATHEMATICS AND COMPUTERS
MONITORING
NEURAL NETWORKS
OPTICAL COMPUTERS
PERFORMANCE
RADIOACTIVE MATERIALS MONITORING AND TRANSPORT
RADIOACTIVE WASTE DISPOSAL
RADIOACTIVE WASTES
SOILS
WASTE DISPOSAL AND STORAGE