The article studies the methods for improving the accuracy and reliability of online monitoring technology for power plant flue 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 plant flue gas online monitoring systems.
online monitoring of flue gasaccuracy improvementreliabilitytechnical parameter optimizationadaptive filtering
NETL
NSTL
万方数据
