期刊文献+

虚实结合闭环测试在核电仪控改造上的研究

Research on Virtual-Physical Integration Closed-Loop Test in Nuclear Power Instrumentation and Control Renovation
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摘要 在役核电机组仪控系统改造面临接口复杂、改造窗口短、质量要求高等挑战,因而有必要对现有的测试验证手段进行创新,以保障改造后机组一次投运成功。研究了一种虚实结合全范围闭环测试方法。通过高精度仿真模型与改造后仪控系统闭环测试,提前在设备制造阶段开展调试和运维试验。以给水流量控制系统为例,该方法可提前发现全生命周期潜在的信号延迟、接口不匹配等缺陷。试验结果表明,该方法将传统调试周期缩短42%、缺陷检出率达87%,并有效降低非计划停堆风险。该方法能提前验证系统可靠性、大幅降低改造风险,为在役核电机组仪控升级提供高效、可靠的解决方案。 The renovation of instrumentation and control systems in operating nuclear power units faces challenges such as complex interfaces,short renovation windows,and high-quality requirements,etc.,so it is necessary to innovate existing testing and verification methods to ensure the successful first-time startup of the renovated units.A virtual-physical integration full-range closed-loop testing method is researched.By using high-precision simulation models and closed-loop test of the renovated instrumentation and control systems,commissioning and maintenance tests are conducted in advance during the equipment manufacturing stage.Taking the feedwater flow control system as an example,the method can identify potential defects such as signal delays and interface mismatches,etc.,across the entire lifecycle in advance.Test results show that this method reduces the traditional commissioning cycle by 42%,achieves a defect detection rate of 87%,and effectively lowers the risk of unplanned shutdowns.This method can verify system reliability in advance,significantly reduce renovation risks,and provide an efficient and reliable solution for instrumentation and control upgrades in operating nuclear power units.
作者 李绍栋 武方杰 左浩 王凤清 张东旭 崔吉叶 蔡彬 赵小鹏 邱文骋 杨广振 LI Shaodong;WU Fangjie;ZUO Hao;WANG Fengqing;ZHANG Dongxu;CUI Jiye;CAI Bin;ZHAO Xiaopeng;QIU Wencheng;YANG Guangzhen(China Techenergy Co.,Ltd.,Beijing 100094,China)
出处 《自动化仪表》 2025年第9期138-143,共6页 Process Automation Instrumentation
关键词 核电仪控系统 虚实结合 闭环测试 改造升级 缺陷检测 风险控制 Nuclear power instrumentation and control system Virtual-physical integration Closed-loop test Renovation and upgrade Defect detection Risk control
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