热力发电Issue(11)：35-40,6.DOI:10.3969/j.issn.1002-3364.2014.11.035
发电厂风粉流体测量系统的数据校正
Data reconciliation for air and fuel flow measurements system in power plants
程新华 1张庆国 2刘富国2
作者信息
- 1. 国网技术学院综合培训部，山东 济南 250002
- 2. 山东电力科学研究院，山东 济南 250002
- 折叠
摘要
Abstract
Measurements of air and fuel system parameters are important for boiler monitoring and adj ust-ment.Due to restrains of the measurement conditions,parameters like air flow,coal flow,oxygen content and others usually fluctuate continually and are difficult to detect accurately.Sometimes different types of measurements are in conflict.Measurement errors of various parameters are taken into account to reconcile the data,on the basis of the maximum likelihood estimate in complicated air and fuel redundancy measure-ment network.The reconciled data perfectly fitted the basic theorems such as matter and energy balance, and calculation of coal chemistry.They are the statistical estimates for true value in the system,and reveal more likely states of the system than the primal measurements.The data reconciliation model can identify the abnormal measurements by detecting the imbalance of the system,and search the fault meters and transmitters intelligently.关键词
风粉流体/测量/测量冗余/最大似然估计/数据校正Key words
air and coal flow/measurement/redundancy measurement/maximum likelihood estimate/data reconciliation分类
能源科技引用本文复制引用
程新华,张庆国,刘富国..发电厂风粉流体测量系统的数据校正[J].热力发电,2014,(11):35-40,6.
