电子科技2025，Vol.38Issue(9)：26-32,48,8.DOI:10.16180/j.cnki.issn1007-7820.2025.09.004
冷坩埚高放废液玻璃固化安全预警系统设计及验证
Design and Verification of Safety Warning System for Cold Crucible Glass Curing High Level Liquid Waste
摘要
Abstract
The glass solidification technology of cold crucible high-level radioactive waste can solidify high-level radioactive waste and isolate the biosphere.The characteristic of this technology is that the glass cold shell gen-erated on the inner wall of the crucible during equipment operation can prevent corrosion.If the glass cold shell pro-tection is lost,it is easy to reduce the service life of the cold crucible and the leakage of high level glass liquid.Due to the lack of detection means in high temperature,high radioactivity,strong magnetic and closed environment,it is difficult to measure and control the thickness of glass shell.To solve this problem,a cold crucible safety early warn-ing system is proposed,which includes a glass shell state prediction module and a glass shell state alarm module.The glass shell state prediction module is based on the simulation experimental data of the temperature field of the cold crucible,and iteratively trains the neural network using the operating state of the cold crucible and the glass shell state as learning samples.The glass shell state alarm module uses fuzzy evaluation to quantitatively evaluate the pre-dicted glass shell state and issue warnings,avoiding the occurrence of melting events of cold crucible glass shells.The results of twenty groups of simulation experiments are compared with the prediction results of the cold crucible glass shell early warning system.The results show that the qualified rate of the early warning system reaches 100％,which verifies the reliability of the early warning system,and provides a feasible scheme for the condition monitoring of the cold glass shell during the operation of the cold crucible project.关键词
安全预警/高放废液/冷坩埚/玻璃固化/玻璃冷壳/神经网络/模糊综合评价/温度仿真Key words
safety warning/high level radioactive waste/cold crucible/glass curing/glass cold shell/neural net-works/fuzzy comprehensive evaluation/temperature simulation分类
信息技术与安全科学引用本文复制引用
张安琪,王泽学,明玉周,龙浩骑,林如山..冷坩埚高放废液玻璃固化安全预警系统设计及验证[J].电子科技,2025,38(9):26-32,48,8.基金项目
国防科工局乏燃料后处理科研专项(FKY1683ZHG001SSJS-B01-001) （FKY1683ZHG001SSJS-B01-001）
