Spray Cool Wall RBS Data

Spray-cooled shells of electric arc furnaces (EAF) experience dynamic and intense thermal fluctuations that, if undetected, can lead to significant operational challenges, including structural damage and compromised safety. In this study, we demonstrate the use of fiber optic sensors (FOS) for real-time, distributed thermal monitoring of an EAF shell wall. The work herein leveraged on Rayleigh-based optical frequency domain reflectometry (OFDR), with high spatial resolution (up to 1.3 mm) and 1 Hz data acquisition in detecting and mapping thermal hot-spots across a section of the EAF’s spray shell wall. The instrumentation with Rayleigh FOS enables the early identification of hot-spots, providing operators with actionable insights to optimize spray cooling strategies, adjust burner orientations, and fine-tune electrical and chemical energy inputs (which may pose a danger to the integrity of the shell wall) dynamically in enhancing operational efficiency, extending the lifespan of the EAF shell wall, and bolstering safety in steel mills. The result herein, collected for a two-day period on a 165-ton DC EAF in operation, underscore the transformative potential of in-situ monitoring systems with FOS, and paves the way for smarter, safer, cost-effective and data-driven EAF operation.

电弧炉（electric arc furnace, EAF）喷淋冷却炉壳会经历动态且剧烈的热波动，若未被及时检出，将引发诸多重大运行难题，包括结构损坏与安全性受损。本研究验证了光纤传感器（fiber optic sensors, FOS）用于电弧炉炉壳壁实时分布式热监测的可行性。本工作采用基于瑞利散射的光频域反射仪（Rayleigh-based optical frequency domain reflectometry, OFDR），凭借最高可达1.3 mm的高空间分辨率与1 Hz的数据采集速率，实现了对电弧炉喷淋炉壳壁局部区域热热点的检测与分布成像。搭载瑞利型光纤传感器的监测系统可实现热热点的早期识别，为运维人员提供可操作的指导意见，以动态优化喷淋冷却策略、调整燃烧器朝向，并精准调控电能与化学能输入——此类输入若控制不当，可能危及炉壳壁的结构完整性，从而助力提升运行效率、延长电弧炉炉壳的使用寿命，并增强钢铁厂的生产安全性。本次研究于一台165吨直流电弧炉的运行过程中采集了为期两天的实验数据，该结果凸显了搭载光纤传感器的原位监测系统所具备的变革性应用潜力，为实现更智能、更安全、更经济且数据驱动的电弧炉运维开辟了全新路径。

搜集汇总

背景与挑战

背景概述

该数据集包含使用光纤传感器对电弧炉喷淋冷却壁进行实时热监测的数据，重点关注热点的检测和映射。数据以Excel格式提供，覆盖了两天的监测周期，旨在优化冷却策略和提高操作安全性。