研究目的
To propose a novel external corrosion risk online perception method for industrial safety IoTs using infrared thermal wave as direct sensors.
研究成果
The proposed three-layer model effectively quantifies external corrosion risk using infrared thermal wave technology, enabling optimal monitoring cycles and scopes to enhance industrial safety.
研究不足
The study's application is primarily focused on petrochemical equipment, and the accuracy of infrared thermal wave measurements may be affected by environmental conditions and material properties.
1：Experimental Design and Method Selection:
The study employs a three-layer model for external corrosion risk perception, utilizing infrared thermal wave technology for direct variable measurement.
2：Sample Selection and Data Sources:
The research focuses on petrochemical equipment, particularly in offshore and inshore environments, using infrared thermal wave imaging for data collection.
3：List of Experimental Equipment and Materials:
Infrared thermal wave imaging instruments are used for measuring cladding defects, thickness, and overlapping corrosion defects.
4：Experimental Procedures and Operational Workflow:
The process involves measuring direct variables with infrared thermal wave, analyzing cladding conditions, and determining risk monitoring cycles and scopes.
5：Data Analysis Methods:
The study uses a cladding-condition-based risk matrix and decision-making tree for risk assessment and monitoring cycle determination.
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