目的 通过研发一套核燃料运输动态监测与风险管控平台,以解决当前核燃料运输过程中存在的监测数据单一、风险响应滞后、风险评估不完善、监测数据实时性不足等问题。方法 集成物联网感知能力与大数据分析技术,基于平台需求设计容器监测终端、数据分析终端及运输监测软件等架构,具体划分为货包状态监测、货包异常预警、货包风险预判和货包性能诊断四大功能模块。结果 试验验证,研发的平台能够实现运输全过程的可视化跟踪、风险预判和控制;运输途中数据传输稳定、存储信息完整准确、数据分析精准。结论 研发的平台达成了设计目标,不仅为核燃料运输安全提供了高可靠性解决方案,还为核燃料运输装备的智能化与高可靠性技术发展提供新思路。
Abstract
The work aims to develop a dynamic monitoring and risk management platform for nuclear fuel transportation to address existing issues such as limited monitoring data, delayed risk response, inadequate risk assessment methodologies, and insufficient real-time data availability. By integrating Internet of Things (IoT) and big data analysis, the platform architecture covering container monitoring terminals, data analysis terminals and transportation monitoring software was designed based on operational requirements. Functionally, the platform was divided into four core modules, including Package Status Monitoring, Package Anomaly Warning, Package Risk Prediction, and Package Performance Diagnosis. Tests demonstrated that the platform enabled visualized tracking of the entire transportation process, as well as preemptive identification and control of transportation risks. Furthermore, the platform ensured stable data transmission during transit, complete and accurate information storage, and precise data analysis. The developed platform successfully meets the intended objectives, providing a highly reliable solution for nuclear fuel transportation safety while also offering new insights into the intelligent and high-reliability technological development direction of nuclear fuel transportation equipment.
关键词
核燃料运输 /
动态监测 /
风险管控 /
物联网技术
Key words
nuclear fuel transportation /
dynamic monitoring /
risk management /
Internet of Things (IoT)
中图分类号：
TB48
TP274
TP277
TP315
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