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作 者:周志兴[1] ZHOU Zhixing
机构地区:[1]江苏方天电力技术有限公司,江苏丹阳212300
出 处:《电力系统装备》2024年第9期107-109,共3页Electric Power System Equipment
摘 要:文章研究了电厂烟气在线监测技术的精度与可靠性提升方法,旨在通过优化技术参数和应用先进算法提高监测系统的性能。并通过对比分析传统监测系统与优化后系统的数据,验证了新方法的有效性。优化后系统的监测精度提高了15%,数据传输可靠性提高了20%,且在不同环境条件下表现稳定。此外,应用自适应滤波算法有效减少了噪声干扰,使得监测数据的误差率降低了10%。研究表明,技术参数优化和算法应用是提升电厂烟气在线监测系统精度与可靠性的关键路径。The article studies the methods for improving the accuracy and reliability of online monitoring technology for power plantflue gas,aiming to improve the performance of the monitoring system by optimizing technical parameters and applying advanced algorithms.And by comparing and analyzing the data of traditional monitoring systems and optimized systems,the effectiveness of the new method was verified.After optimization,the monitoring accuracy of the system has increased by 15%,the reliability of data transmission has increased by 20%,and it performs stably under different environmental conditions.In addition,the application of adaptive filtering algorithm effectively reduces noise interference,resulting in a 10%reduction in the error rate of monitoring data.Research has shown that optimizing technical parameters and applying algorithms are key paths to improving the accuracy and reliability of power plantflue gas online monitoring systems.
关 键 词:烟气在线监测 精度提升 可靠性 技术参数优化 自适应滤波
分 类 号:TM621[电气工程—电力系统及自动化]
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