IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20–22, 2017, Proceedings

Research Article

A Study on Online Corrosion Risk Perception Technology for Process Industry Safety IoTs Based on Demands of Assets Integrity Management

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  • @INPROCEEDINGS{10.1007/978-3-030-00410-1_19,
        author={Liang Xiong and Guanglei Lv and Guangpei Cong and Fengqi He and Shi He and Yunjiang Sun},
        title={A Study on Online Corrosion Risk Perception Technology for Process Industry Safety IoTs Based on Demands of Assets Integrity Management},
        proceedings={IoT as a Service. Third International Conference, IoTaaS 2017, Taichung, Taiwan, September 20--22, 2017, Proceedings},
        proceedings_a={IOTAAS},
        year={2018},
        month={10},
        keywords={Process industry Automatic monitoring system Gamma ray sensor},
        doi={10.1007/978-3-030-00410-1_19}
    }
    
  • Liang Xiong
    Guanglei Lv
    Guangpei Cong
    Fengqi He
    Shi He
    Yunjiang Sun
    Year: 2018
    A Study on Online Corrosion Risk Perception Technology for Process Industry Safety IoTs Based on Demands of Assets Integrity Management
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-00410-1_19
Liang Xiong1, Guanglei Lv2, Guangpei Cong3,*, Fengqi He4, Shi He5, Yunjiang Sun2
  • 1: China University of Geosciences
  • 2: CNOOC Safety Environmental Protection Engineering Technology Research Institute
  • 3: Guangdong University of Petrochemical Technology
  • 4: Nuclear Power Institute of China
  • 5: Nuclear Industry Management Cadre Institute
*Contact email: 125414712@qq.com

Abstract

Combining developing demand on process industry safety management, an safety risk perception system for the process industry safety IoTs was proposed to a corrosion loop in a process unit. A low-dose tangential wall thickness measurement sensor based on gamma ray was adopted by this system. In addition, basic principle for realizing boundary layer recognition of the sensor was presented together with a precision measurement algorithm. In addition to merits such as without destroying insulation constructions and high-precision wall thickness measurement, the sensor of this system could be installed or dismantled online with a low cost, etc. With the system, the safety condition of a corrosion loop can be directly real-time soft measured quantitatively which is the foundation to establish the process industry safety IoTs.