Research On Vortex Signal Processing Method Based On Multi-sensor Information Fusion

The vortex flowmeter is a hydrodynamic instability flowmeter and is widely used in light industry, chemical industry, electric power, metallurgy, city-owned utility due to its non-mobile components, insensitivity to media, high precision in operating, However, because of disturbances on the worksite, the vortex flowmeter is seriously influenced by the vibration noise interference from the outside on flow velocity measurement. This article has done a research on the vortex flowmeter’s anti-vibration ability in the condition of cyclically strong vibration noise interference. The following researches have been done in this article.1) The research on vortex signal detection scheme of anti-vibration ability in the condition of cyclically strong vibration noise interference. In view of vortex sensor signal’s poor anti-vibration ability, one differential pressure detection method has been put forward, which simples pressure in the bluff body’s positive face and after the bluff body. The vortex signal detection scheme is put forward due to the sensor combination application, which integrates the advantage of high precision and anti-vibration ability of differential pressure signal and vortex signal.2)The research on the processing of vortex signal. In the measuring system of this article, the average differential pressure and the frequency of vortex signal are fused by means of Unscented Kalman Filter(UKF), which effectively improved the locking precision of the digital band-pass filter. In view of the vortex signal detection scheme in this article, a vortex signal processing method based on multi-sensor information fusion is put forward, which can extract the useful vortex signal from the vortex sensor signal which contains strong cyclical vibration noise interference. The processing of vortex signal in this article has been proved by the simulation verification.At last, in the condition of strong cyclical vibration noise interference on the gas experiment platform, four flow points of 80Hz,120Hz,180Hz,300Hz is selected to comparatively analyze the result between traditional method and the method in this article. The experiment has proved the feasibility of multi-sensor information fusion in this article. Experiments shows that this processing method can effectively restrain the impact of cyclically strong vibration noise interference from the outside on flow velocity measurement. The measurement accuracy could achieve 1%.