Input and output data processing method and system in engineering application field

Abstract

The invention discloses an input and output data processing method and system in the field of engineering application, and the method comprises the following steps: constructing a relation curve coordinate system of input and output data, enabling a horizontal axis to be normalized input data, enabling a longitudinal axis to be normalized output data, and enabling the scales of the input and output data to be consistent; constructing the load curve coordinate system of the input and output data, taking the horizontal axis as time, and taking the longitudinal axis as normalized input and outputdata, wherein input and output data scales are consistent; and establishing a mathematical model or a machine learning model based on the relation curve coordinate system and the load curve coordinate system, and processing input and output data in the engineering application field. a mathematical model or a machine learning model is established in a unified load curve coordinate system and an input-output relation curve coordinate system, and data with the same input-output characteristics but different characteristic values such as rated input and rated output are processed in the same model, so that the calculation efficiency is greatly improved, and iteration and innovation of big data and an artificial intelligence technology are realized.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to an input and output data processing method and system in the engineering application field. Background technique [0002] The traditional input-output relationship curve coordinate system based on input-output data uses the input as the abscissa, the output as the ordinate, and the respective units as the scale to reflect the relationship between input and output. [0003] The traditional input-output relationship curve coordinate system generally has the following characteristics: [0004] 1. Take the input as the abscissa, the output as the ordinate, and take the respective units as the scale. [0005] 2. The abscissa marks the input data and its characteristic values, and the input data can meet the engineering requirements and Any value that has the characteristics of a lead-in, a nominal run-in, and a cut-out run-in. Its characteristic values ​​mainly incl...

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Problems solved by technology

[0009] 1. Since the units and values ​​of the rated input and rated output of the system are different, in order to intuitively reflect the relationship between input and output, the scale of the coordinates needs to be adjusted according to the actual situation, which will cause the coordinate system of the input-output relationship curve to be unstable

[0010] 2. It is impossible to draw input-output relationship curves in the same coordinate system for systems with the same input-output characteristics but different rated input and rated output values, which is not conducive to comparison and data sharing between systems with the same input-output characteristics

[0011] 3. Not conducive to the application of big data and artificial intelligence technology

[0019] 4.1. Since the units and values ​​of the rated input and rated output of the system are different, in order to intuitively reflect the relationship between input and output, it is necessary to adjust the scale of the ordinate according to the actual situation, which will cause the load curve coordinate system to be unstable

[0020] 4.2. It is impossible to draw load curves in the same coordinate system for systems with the same input-output characteristics but different rated input and rated output values

It is not conducive to comparison and data sharing between systems with the same input-output characteristics

[0021] 4.3. Engineering practice is not conducive to the application of big data and artificial intelligence technology

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