气固两相流动参数测量对其动力学机理研究以及相关工业生产过程控制具有重要意义。针对颗粒水分动态变化导致气固两相流动参数测量极为不准确问题，本项申请提出电容与微波融合测量方法，通过电容和微波双模态信息获取与融合，实现变水分气固两相流颗粒浓度、速度、流量等参数的准确测量。项目将在水分变化对颗粒的等效介电特性及其对电容和微波信号影响规律研究的基础上，构建电容和微波双模态传感器模型，实现同一时间、空间区域内的电容和微波双模态信息获取；进而研究电容和微波双模态信息融合方法，以准确计算气固两相流动参数；最后，开展双模态传感器系统集成优化与性能评价实验研究。该项目研究有望建立气固两相流动参数电容与微波融合测量新方法，解决颗粒水分动态变化影响气固两相流动参数测量的问题，为开发新型气固两相流动参数测量仪表提供理论依据和技术基础。

Parameter measurement of gas-solid two-phase flow is significant for its dynamic mechanism study and the related industrial process control. However, the measurement results are extremely inaccurate due to the dynamically varying moisture content in particles. This project proposes a fusion measurement method for gas-solid two-phase flow based on capacitance and microwave sensing techniques. The particle concentration, velocity, and flow rate, where the moisture content in particles dynamically varies, will be derived by acquiring and fusing the capacitance and microwave information. The influence of the varying moisture content on the particle equivalent permittivity, as well as on the capacitance and microwave signals, will be first investigated. Then, a dual-mode sensor model will be built to simultaneously obtain the capacitance and microwave information within the same sensitive area. Further, the information fusion approach will be investigated to accurately calculate the flow parameters. Eventually, an integrated measurement system will be developed and experimentally evaluated to optimize and improve the proposed fusion measurement method. This project is expected to establish a novel fusion measurement method based on the capacitance and microwave sensors. It can eliminate the influence of the varying moisture content in particles on the gas-solid two-phase flow measurement and provide a theoretical and technical basis for developing applicable measurement instruments in practice.