High-Resolution Distributed Radiation Detector System Assisted by Intelligent Image Recognition
| Autor: | Zhixin Fu, Zhen Liu, Chenyue Wang, Hong Shao |
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| Rok vydání: | 2021 |
| Předmět: |
high resolution 高分辨率3
Physics::Instrumentation and Detectors Computer science QC1-999 Materials Science (miscellaneous) Reliability (computer networking) Biophysics Photodevice General Physics and Astronomy Interference (wave propagation) Particle detector Imaging Computer vision Physical and Theoretical Chemistry Mathematical Physics distributed radiation detector 分布式粒子探测器 Pixel business.industry Physics Detector Photovoltaic system radiation detector monitoring 粒子探测器监视器5 Spare part High Energy Physics::Experiment Artificial intelligence business Energy (signal processing) |
| Zdroj: | Frontiers in Physics, Vol 9 (2021) |
| ISSN: | 2296-424X |
| Popis: | With the development of machine learning and image recognition technology, the detector system tends to be standardized and intelligent. However, large numbers of distributed radiation detectors connected to the power grid will bring huge uncertainty to the operation of the power grid and even cause certain interference. The monitoring system of the distributed radiation detectors can control the running status of the distributed photoelectric detection system in real-time and guarantee the safe and stable operation of the detector system. This article proposes an improved genetic detector system to avoid “blind spots” in the radiation detector monitoring based on the characteristics of photovoltaic (PV) arrays, which are considered as individual pixels, and then the reliability of the monitoring is ensured by the monitoring coverage of these pixels by the detector nodes. The performance of the radiation detector monitoring is restored by activating those spare nodes with sufficient energy to replace those that fail, ensuring that the distributed detection system can be monitored in a timely and efficient manner at all times. The simulation results confirm the reasonable validity of the algorithm. |
| Databáze: | OpenAIRE |
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