Furnace State Estimation via Mass and Heat Balance Error Minimization
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Solution Overview
Problem
Existing methods struggle to accurately estimate furnace state, particularly in models where mass balance and heat balance interact complexly, leading to reduced accuracy in component concentration estimation for molten metal and slag.
Innovation Solution
A furnace state estimation device and method that determines model parameters using past track record information and conditions of refining treatment, incorporating an evaluation function that minimizes mass balance and heat balance errors, allowing for continuous and accurate estimation of component concentrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mass balance and heat balance calculations are performed using measurement information including exhaust gas data, then real-time estimation accuracy is improved, but model parameter accuracy deteriorates due to environmental changes and wear
Solution Approach 1:
The system performs preliminary determination of model parameters using track record information from past refining treatments before actual estimation occurs. By pre-calculating and storing optimal parameters in a database, the system prepares accurate models in advance, avoiding the need to re-estimate parameters during each refining treatment and maintaining consistent accuracy despite environmental changes.
Solution Approach 2:
The system uses feedback from track record information of past refining treatments to determine and optimize model parameters. By comparing actual measurement results with calculated values from past data, the system continuously refines and updates model parameters, ensuring they remain accurate despite changes in refractory material wear, raw material composition, or measurement device performance.
2Measurement precision
If complex interaction between mass balance and heat balance is modeled, then estimation comprehensive accuracy is improved, but calculation complexity increases
Solution Approach 1:
The system segments the complex mass balance and heat balance calculations into separate, manageable components. By determining model parameters independently from track record information and storing them in a database, the system divides the complex estimation process into parameter determination (offline) and parameter application (online) stages, reducing real-time calculation complexity while maintaining comprehensive accuracy.
Data Source
AI summary
A furnace state estimation device (1) including: an input unit (11) configured to receive track record information and conditions of refining treatment; a model determination unit (14) configured to determine model parameters using past model parameters; a furnace state calculation unit (15) configured to calculate state quantities, including temperature and component concentration of molten metal and component concentration of slag, in a furnace, using the determined model parameters; and a model parameter calculation unit (13) configured to calculate model parameters in the refining treatment of the target charge, based on an evaluation function that includes terms representing a mass balance error and a heat balance error in the furnace from beginning to end of a particular period of time in the refining treatment, using track record information including results of the refining treatment of the target charge.


