Data correction method used for varying data of chemical engineering flow system

Abstract

The invention discloses a data correction method under the condition of variable load of a chemical flow system. The method comprises the following steps: firstly, acquiring measuring data of a measuring instrument within a period of time, and applying steady state detection technology for steady state determination according to key measuring bits among the measuring data; secondly, taking mean values of the measuring data in various steady states, performing steady state operating condition interval division on the mean values of the steady state data according to the load, and dividing the mean values into a plurality of different steady state operating condition intervals; and thirdly, performing data correction and remarkable error detection on multi-variable multi-group measuring data in each steady state operating condition interval, and obtaining remarkable error detection results and data correction results of various steady state operating condition intervals. The method has more reliable and more accurate correction results, simultaneously can select other steady state detection technology and data correction technology, and is flexible to apply and simple to realize.

Description

technical field [0001] The invention relates to the field of data correction of measuring instruments in a chemical process system and the field of online optimization method research, in particular to a data correction method for a chemical process system under variable load. Background technique [0002] Real-time optimization of the production process is one of the important technical means for the industry (especially the process industry) to reduce production costs and improve comprehensive economic benefits. Real-time optimization requires accurate process models and process data. However, there are not only random errors but also significant errors in obtaining process data through instrument measurement, which directly affects the accuracy of real-time optimization. Therefore, the use of data correction technology to adjust the measurement data, eliminate significant errors, reduce the impact of random errors, and improve the quality of measurement data is an import...

AI Technical Summary

Problems solved by technology

The chemical process system works under the condition of variable load. Due to the change of load, the chemical process system has multiple steady-state working condition intervals. Data correction in multiple steady-state working condition intervals is compared with a single steady-state working condition interval. data correction is more complex

When there is a significant error in the measuring instrument, the significant error may be different in each steady-state working condition interval, so it is difficult to accurately estimate the significant error in each steady-state working condition interval

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