Pressure transformer with trend extracting function

Abstract

The invention discloses a pressure transformer with a trend extracting function. The pressure transformer comprises a signal conditioning unit, a casing and a display module, wherein the signal conditioning unit is connected and packed in the casing, and the display module is arranged on the outer side of the casing, further connected with the signal conditioning unit and used for displaying parameters. The signal conditioning unit comprises an information storing module and a trend extracting module, wherein the information storing module is used for storing signals and system parameters, the trend extracting module is respectively connected with the information storing module and the display module, the trend extracting module can extract pressure information stored in the information storing module, the trend extracting module can acquire trend pressure signals in a set time quantum through operation, and the display module can display the extracted trend signals. The pressure transformer uses the trend extracting module to extract and operate pressure signals in a period in the information storing module, so that data change trend in the period can be extracted, and analysis on pressure signals is facilitated.

Description

Technical field [0001] The invention relates to a pressure transmitter, in particular to a pressure transmitter with a trend extraction function. Background technique [0002] Pressure transmitters are widely used in petroleum, coking, steel mills, and power plants. With the progress of oilfield digitization and the improvement of automation in coking plants, steel plants, etc., higher requirements are put forward for the reliability, accuracy and intelligent characteristics of pressure transmitters. In some special occasions, it is necessary to record the test data in the field for a long time, and extract the trend of the data over a period of time, which is more conducive to the analysis of the pressure signal. [0003] The empirical mode decomposition method is a new low-frequency signal extraction method. The essence of the method is to use the characteristic time scale of the signal to obtain the inherent wave mode, so as to achieve the purpose of decomposing the data. Comp...

AI Technical Summary

Problems solved by technology

Compared with the traditional low-frequency signal extraction method, such as low-pass filtering method, this method has the advantage that the extracted low-frequency signal is more real and reliable, especially the edge part of the signal, and will not cause low-frequency distortion due to the algorithm , in the empirical mode decomposition method currently used, its algorithm is complicated, the calculation amount is large, and the operation efficiency is low, and the extracted edge signal is not real enough, so it is not suitable for the requirements of the embedded system

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