Coal gasifier data setting method and system based on carbon balance

Through the data tuning method based on carbon equilibrium, the problem of inaccurate data during the production process of the coal gasification device is solved, and the accurate calibration of the simulation data of the coal gasification furnace process is achieved, providing better guidance for actual production.

CN119724393APending Publication Date: 2025-03-28SHENGTAI ZHIKE (SHANGHAI) SOFTWARE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411894021.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

In the prior art, the data inaccurate due to measurement methods or instrument errors during the production process of the coal gasification device affects the accuracy of the simulation input data of the coal gasification furnace process.

Method used

The carbon equilibrium-based data tuning method is adopted, and the data is cleaned by obtaining the data to be processed, and the carbon equilibrium formula is used to determine the carbon element mass equilibrium error, adjust the correction coefficient to minimize the error value of the objective function, and finally correct the data.

Benefits of technology

The effect of data tuning based on the carbon balance of the coal gasification process is achieved based on the measurement value of the production data, providing relatively accurate simulation data for the process simulation of the coal gasification furnace, thereby better providing guidance for actual production.

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Abstract

The embodiment of the invention provides a coal gasifier data setting method and system based on carbon balance, and the method comprises the steps: obtaining to-be-processed data which comprises coal quality analysis data, feeding temperature, feeding pressure, feeding flow, feeding composition, synthesis gas flow and synthesis gas composition; performing data cleaning on the to-be-processed data, and deleting invalid data to obtain preprocessed to-be-processed data; based on the preprocessed to-be-processed data, determining a carbon element mass balance error in a preset time period through a carbon balance formula; on the basis of the carbon element mass balance errors in the plurality of preset time periods, adjusting a to-be-corrected coefficient to enable the error value of the target function to be minimum, and obtaining a correction parameter; and correcting the to-be-processed data based on the correction parameter.
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