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; TRN: 94:014590
- Resource Relation:
- Conference: Electro @/94 international conference,Boston, MA (United States),10-12 May 1994; Other Information: PBD: May 1994
- Country of Publication:
- United States
- Language:
- English
Similar Records
Electronic noses and their applications in environmental monitoring
Transmission of olfactory information for tele-medicine
Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES
ENVIRONMENT
MONITORING
SOILS
CONTAMINATION
GROUND WATER
RADIOACTIVE WASTES
RADIOACTIVE WASTE DISPOSAL
NEURAL NETWORKS
PERFORMANCE
OPTICAL COMPUTERS
GAMMA SPECTROMETERS
HANFORD RESERVATION
HAZARDOUS MATERIALS
540230
540220
990200
052002
RADIOACTIVE MATERIALS MONITORING AND TRANSPORT
CHEMICALS MONITORING AND TRANSPORT
MATHEMATICS AND COMPUTERS
WASTE DISPOSAL AND STORAGE