Format normalization processing method for turbine adjustment system parameter actual measurement original data

Abstract

The invention discloses a format normalization processing method for turbine adjustment system parameter actual measurement original data. The format normalization processing method comprises the following steps of: (1) searching a parameter name row; (2) extracting each parameter name character string; (3) acquiring a parameter actual name variable; (4) abandoning the next row of the parameter name row; (5) extracting and distributing parameter actual measurement data; and (6) calculating a data acquisition period. By the method, information and data which are not useful for parameter identification can be conveniently and quickly deleted according to features of various turbine adjustment system parameter actual measurement original data files of the conventional formats, and available data are arranged into regular and fixed formats, so that a mistake of the conventional processing mode is avoided; the working efficiency and the identification precision of parameter identification are greatly improved; and stability analysis and calculation of a power grid are facilitated.

Description

technical field [0001] The invention belongs to the technical field of steam turbine modeling, and in particular relates to a method for standardizing the original data format of actual measured parameters of a steam turbine regulating system. Background technique [0002] Since the original data format of the actual measurement of the parameters of the steam turbine regulation system is relatively complex, different data acquisition instruments, different units, and different parameter name definitions will lead to different formats of the original data. Format normalization is still dominated by traditional processing methods. That is to delete the information and data that are useless for parameter identification in the raw data files of each steam turbine regulation system parameter measurement one by one through manual judgment, and manually modify the parameter name and arrangement order of the original data according to the original records made during the measurement...

AI Technical Summary

Problems solved by technology

However, due to the large amount of original data measured by the parameters of the steam turbine regulation system, the operation is very cumbersome, the staff is labor-intensive and error-prone, which greatly reduces the efficiency and accuracy of parameter identification, which is extremely unfavorable to the calculation, analysis and judgment of power grid stability.