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The Early Warning System of Nuclear Power Station Oriented to Human Reliability

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration (ICSEE 2017, LSMS 2017)

Abstract

In order to improve the reliability of nuclear power plant operators in the face of the abnormal operation of nuclear island, this paper studies the early-warning system of nuclear power plant through the abnormal operation parameters of nuclear island. In this paper, the object studied about is the fault of the passive equipment of the reactor. After the reaction shutdown, operators can take the emergency measures in an accurate and timely manner. The early warning system will show how the fault is expected in the operational measures, so that operators can do respond to prepare. The early warning system studied in this paper is applied to nuclear power simulation system. Through the research on abnormal operation simulated by nuclear power simulation system, the results show that the early-warning system can improve human reliability of nuclear power plant in the face of abnormal operation.

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Acknowledgements

This work was partially supported by National Natural Science Foundation of China, Grant No. 61503237; Shanghai Natural Science Foundation (No. 15ZR1418300); Shanghai Key Laboratory of Power Station Automation Technology (No. 13DZ2273800).

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Correspondence to Shuai Ren .

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Ren, S., Qian, H. (2017). The Early Warning System of Nuclear Power Station Oriented to Human Reliability. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_21

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  • DOI: https://doi.org/10.1007/978-981-10-6364-0_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6363-3

  • Online ISBN: 978-981-10-6364-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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