基于PCNN图像融合的ECT多相流测量系统设计
Design of ECT Multiphase Flow Measurement System Based on PCNN Image Fusion
李利品 1李垄 1盛哲 2白耀文 1胡跃鑫1
作者信息
- 1. 西安石油大学陕西省油气井测控技术重点实验室
- 2. 长庆油田分公司技术监测中心
- 折叠
摘要
针对ECT在多相流测量过程中存在的成像质量不高、精度低、稳定性差等问题,提出并实现了基于PCNN图像融合的ECT多相流测量系统.系统采用模块化设计,主要包括阵列电极传感器模块、电容采集电路模块、上位机成像软件模块.文中设计改进的网络模型,将Tikhonov和Landweber算法的成像结果作为输入进行双通道融合成像,改善了传统算法存在的伪影、模糊的现象.实验结果表明:应用尼龙棒模拟气固两相流对系统进行测试,系统对于微小电容的测量具有良好的稳定性和准确性,通过系统的成像结果可以准确地分辨管道内不同介质的位置,其中对于流型的预测成功率为100%,相含率的测量误差在1%以内.
Abstract
In order to solve the problems of low imaging quality,low accuracy and poor stability in the process of multiphase flow measurement of ECT,a ECT multiphase flow measurement system based on PCNN image fusion was proposed and implemen-ted.The system adopted modular design,mainly including array electrode sensor module,capacitance acquisition circuit module,and host computer imaging software module.In this paper,an improved network model was designed to use the imaging results of Tikhonov and Landweber algorithms as input for dual-channel fusion imaging,which improved the artifacts and ambiguity of traditional algorithms.The experimental results show that the system is tested by using nylon rod to simulate gas-solid two-phase flow,and the system has good stability and accuracy for the measurement of micro capacitance,and the position of different media in the pipeline can be accurately distinguished through the imaging results of the system,and the success rate of prediction for flow pattern is 100%,and the measurement error of phase content is within 1%.
关键词
ECT/多相流测量/图像融合/图像重建Key words
ECT/multiphase flow measurement/image fusion/image reconstruction引用本文复制引用
基金项目
国家自然科学基金(41874158)
国家自然科学基金(51974250)
陕西省自然科学基金(2023-JC-YB-343)
西安石油大学研究生创新与实践能力培养计划(YCS23114131)
出版年
2024
NETL
NSTL
维普
万方数据