A soft sensor for the sulphur dioxide converter in an industrial smelter
Bibliographic record
Abstract
In metal productions from sulphide ores, sulphur dioxide (SO2) is generated when the ore concentrate is smelted. To minimize emission of SO2 to the atmosphere, sulphuric acid plants are used to convert SO2 gas into sulphuric acid product in smelters. A SO2 to sulphur dioxide (SO3) converter, where SO2 is oxidized to SO3 with the help of catalyst, is the key unit in a sulphuric acid plant. For monitoring the converter, temperature of the reactor is extensively measured at various locations, but the concentration of SO2 is barely measured or only measured at very limited points due to the difficulty and costs involved. In this paper, a soft sensor is developed to estimate the conversion ratio and concentration of SO2. The soft sensor is derived based on the steady state mass balance model of the converter and dynamic data analysis. From the proposed soft sensor, conversion ratio and concentration of SO2 can be estimated from available industrial real‐time measurement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".