Virtual stereoscopic vision aero-engine exhaust gas particle flow field monitoring method

Abstract

Disclosed is a virtual stereoscopic vision aero-engine exhaust gas particle flow field monitoring method. The method comprises the steps of building a virtual stereoscopic vision aero-engine exhaust gas particle flow field monitoring system; utilizing the system for obtaining static three-dimensional spatial coordinates of an aero-engine exhaust gas particle; utilizing the coordinates for obtaining a three-dimensional flow field distribution model of the exhaust gas particle; building the corresponding relation between the three-dimensional flow field distribution model of the exhaust gas particle and the aero-engine running state, and therefore obtaining relation information such as an aero-engine fuel combustion degree, engine aging and part faults. Three-dimensional flow field measurement of the exhaust gas particle can be achieved, the form, spatial distribution and particle speed of a soot particle in exhaust gas are monitored in real time, the corresponding relation between the information and the aero-engine fault type is built, the potential safety hazard of the aero-engine is predicted in advance, early warning information of faults is provided, air safety is ensured, and the engine maintenance cost is lowered.

Description

technical field [0001] The invention belongs to the technical field of aero-engine state monitoring and fault diagnosis, and in particular relates to a virtual stereo vision aero-engine exhaust particle flow field monitoring method. Background technique [0002] With the rapid development of my country's civil aviation transportation industry, more and more attention has been paid to the safety of aircraft navigation. According to relevant statistics, as the core components of aircraft, aero-engine failures account for a considerable proportion of aircraft flight failures. In the flight accidents in my country in the past ten years, the failures caused by aero-engines accounted for more than 60% of mechanical and maintenance failures . Therefore, strengthening the monitoring of the operating status of aero-engines, especially online monitoring during flight, plays a vital role in the safety of aircraft flight transportation, and can predict the safety hazards of aero-engines...

AI Technical Summary

Problems solved by technology

For example, the passive Fourier Transform Infrared Spectroscopy (FTIR) remote sensing technology can remotely sense the absolute spectral energy distribution and gas concentration of the radiation source, but it cannot realize real-time monitoring of the exhaust gas; the engine gas path electrostatic monitoring technology can be used to monitor foreign objects and Charged particles in the exhaust gas, the causes of charged particles in the gas path usually include wear, ablation, material peeling and fuel nozzle clogging, so it can provide early fault information for judging the abnormal performance or failure of the gas path, but this method requires The electrostatic induction probe is placed in the engine gas path, and the gas path pipe has a large diameter. The probe only collects the information of discrete points in the pipe, but cannot monitor the cross-sectional information of the pipe, so the measurement parameters are not comprehensive. ; The electrical capacitance tomography (ECT) technology that has emerged in recent years reconstructs the distribution of substances on the measurement section by measuring the boundary capacitance information of the object field. Due to the difference in the relative permittivity of particles and air in the gas path, theoretically, ECT can technology to image the distribution of internal substances and extract characteristic parameters, but it is still impossible to intuitively obtain the distribution and particle size of particles in engine exhaust; visual measurement methods are also often used in the detection of particle flow fields in engine exhaust. The vision system is mostly composed of two or more cameras. When measuring, the cameras need to be placed reasonably according to the relative orientation of the two cameras and the angle between the main optical axis. Not only the internal parameters of the two cameras need to be calibrated separately, but also the When collecting images of a moving target, a specific device is required to ensure that the two cameras are triggered strictly synchronously, which makes the system occupy a large space and makes it difficult to measure the exhaust flow field of an aero-engine online.

Images