Abstract
The actionable data provided by the sensor arrays located throughout a plant provide a holistic online indication of reactor operation. Thus, these data greatly benefit the safe and effective generation of terrestrial nuclear power. This array includes sensors for monitoring coolant flow and pressure, temperature and heat transfer, radiation levels, structure health monitoring, and other critical parameters for reactor operation. Although sensors that measure these parameters have been developed, the electronics used in the pre-amplification and analog-to-digital conversion of the small signals they produce are extremely sensitive and susceptible to damage from the high temperatures and radiation environments present within nuclear reactors when power is being generated. The small signals from sensors in nuclear power plants are transmitted over long cable runs, which introduce dispersion artifacts into the signals of interest and electromagnetic interference (EMI) from lighting fixtures, pumps, mains electricity, and other e quipment. To overcome these challenges, a front-end digitization (FREND) system was developed that uses radiation-tolerant electronics to multiplex, amplify, and optically encode signals from an array of sensors for transmission over an optical fiber to mitigate dispersion and EMI artifacts from long runs of electrical cabling. To recover the optically transmitted data, this paper describes a signal processing scheme based on 1D template matching to an indexing channel, which is demonstrated to have an effective bit depth of 9.2 bits (1%). This scheme was validated in proof-of-concept nonnuclear testing, and preliminary experimental results show good agreement between the measured optical output and sensor input signals. While results of irradiation testing is not discussed in this work, it will be presented and analyzed in subsequent publication. The FREND system represents a low-loss data link between sensors in nuclear environments and data acquisition hardware aimed at improving the signal-to-noise ratio of data acquired from these sensors to provide better information to operators and researchers.
| Original language | English |
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| Title of host publication | Proceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023 |
| Publisher | American Nuclear Society |
| Pages | 1642-1650 |
| Number of pages | 9 |
| ISBN (Electronic) | 9780894487910 |
| DOIs | |
| State | Published - 2023 |
| Event | 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023 - Knoxville, United States Duration: Jul 15 2023 → Jul 20 2023 |
Publication series
| Name | Proceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023 |
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Conference
| Conference | 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023 |
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| Country/Territory | United States |
| City | Knoxville |
| Period | 07/15/23 → 07/20/23 |
Funding
*[email protected] This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan) This research was sponsored by the Advanced Sensors and Instrumentation Program of the US Department of Energy’s Office of Nuclear Energy. The authors would like to thank Brett Witherspoon for his invaluable insights and advice on embedded electronics and communication.
Keywords
- analog electronics
- communication
- optical fibers
- sensor array
- signal processing