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