Vortex flowmeter has many advantages such as small pressure loss, wide measuring range, high precision, simple and firm structure, convenient maintenance, low installation cost, long service life, wide application range, etc., and is widely used in industrial production. However, the existing vortex flowmeter still has some problems, which affects its further promotion and application. For example, the vortex flowmeter has a lower limit range, poor resistance to mechanical vibration interference, and inconvenient modification of online parameters. Therefore, solving the problem of small flow measurement and anti-interference of vortex flowmeter is of great significance for improving the measurement accuracy and reliability of the existing vortex flowmeter.
With the development of science and technology, digital vortex flowmeter emerged to address the shortcomings of traditional DIP vortex flow to some extent. So where is the highlight of Digital Vortex? What technical principles are there?
Gas compensation algorithm
The converter software supports up to seven gas compensation algorithms, namely the working volume flow algorithm, the working mass flow algorithm, the standard gas volume flow algorithm, the standard gas mass flow algorithm, the saturated steam temperature compensation algorithm, and the saturated steam pressure compensation. Algorithm, superheated steam temperature and pressure compensation algorithm, support sensor acquisition compensation or set value compensation mode, the display will display the algorithm type in real time, and support 14 kinds of instantaneous calculation, 7 kinds of cumulant calculation.
Digital algorithm
FFT is an efficient algorithm of DFT, called fast Fourier transform. It is based on the odd, even, imaginary and real properties of discrete Fourier transform, and the algorithm of discrete Fourier transform is improved. The FFT operation can transform the vortex signal from the time domain to the frequency domain. It is difficult to distinguish the flow signal and the interference signal and the pipeline vibration signal in the time domain, because they are all superimposed and after FFT transform to the frequency domain, It is easy to see how many different frequency values ​​are included in the original signal, as well as the phase of each frequency value, signal strength and many other useful information, which lays a solid foundation for the next signal processing, ensuring the correctness and accuracy of the flow signal. Sexuality, which is critical to improving the vortex flowmeter measurement range (especially the lower flow limit), resistance to continuous periodic vibrations, and continuous periodic disturbance performance.
Software filtering
Software filtering is divided into the following aspects:
1. Non-periodic instantaneous interference or pipeline vibration can be effectively removed by software intelligent analysis of data.
Second, continuous cycle interference or pipeline vibration, through the software self-learning function, to achieve data removal on the two-dimensional plane, without affecting the accurate identification of the normal flow signal, which is more intelligent and practical than the traditional frequency cut.
Third, for the phenomenon that the data hopping is large for each update under normal traffic, the software damping method is used to complete, and the user can set any time within 0-99 seconds to ensure the stability of the instantaneous amount or small range fluctuation.
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