APPLICATION OF MULTI-SENSOR'S DATA FUSION TECHNOLOGY IN THE TURBINE EXHAUST STEAM WETNESS MONITORING SYSTEM

PANG Zhi1; ZHANG Yang2; YANG Shan-rang1; HU Yan-ping11.Energy-saving and Measuring Control Technology Research Centre

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APPLICATION OF MULTI-SENSOR'S DATA FUSION TECHNOLOGY IN THE TURBINE EXHAUST STEAM WETNESS MONITORING SYSTEM

更新时间：2025-09-28

- APPLICATION OF MULTI-SENSOR'S DATA FUSION TECHNOLOGY IN THE TURBINE EXHAUST STEAM WETNESS MONITORING SYSTEM
- Thermal Power Generation Vol. 38, Issue 9, Pages: 80-82(2009)
- 作者机构：
  
  1. 东北电力大学节能与测控技术研究中心
  2. 北京电力公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK31
- Published：2009
- 稿件说明：
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PANG Zhi1, ZHANG Yang2, YANG Shan-rang1, et al. APPLICATION OF MULTI-SENSOR'S DATA FUSION TECHNOLOGY IN THE TURBINE EXHAUST STEAM WETNESS MONITORING SYSTEM[J]. Thermal power generation, 2009, 38(9): 80-82.
DOI：

PANG Zhi1, ZHANG Yang2, YANG Shan-rang1, et al. APPLICATION OF MULTI-SENSOR'S DATA FUSION TECHNOLOGY IN THE TURBINE EXHAUST STEAM WETNESS MONITORING SYSTEM[J]. Thermal power generation, 2009, 38(9): 80-82. DOI：

摘要

采用双区加热法在线监测汽轮机排汽湿度

由于各温度、压力传感器受位置、自身差异、环境等不可测因素的影响

使得其测量数据不能完全反映汽轮机的排汽湿度的真实状态。为此

利用改进的硬件和软件测量相结合的多传感器数据融合算法对测得数据进行处理

解决了过多的不确定因素导致的湿度测量精度不准问题。试验表明

该方法有效、可行。

Abstract

Adopting dual-region heating method for on-line monitoring of steam turbine's exhaust steam wetness

because influence of the non-predictable factors

such as different locations of temperature and pressure sensors

difference of sensor's proper

and different environments etc.

the temperature and pressure sensors can't reflect real information of steam turbine's exhaust steam wetness.For this

using the improved multi-sensor's data fusion algorithm

which combined hardware with software

to carry out processing of the measured data

solving the problem of wetness-measuring procision resulted

from many uncertain factors.Test shows that the said method is effective and feasible.

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