A service-oriented architecture for coupling simulation and control of industrial systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It is now commonplace for industrial systems to be automatically controlled by computers. Furthermore, it is becoming more common for industrial systems to use Model Predictive Control (MPC) software to optimise the behaviour of a physical process through manipulation of control variables. It has been shown that MPC control can be improved through coupling with Computer Aided Engineering (CAE) simulations. We propose a grid architecture, GridMPC, to provide MPC coupled with CAE simulations for the real-time control of industrial systems. GridMPC bridges the gap between powerful simulation tools and actual physical processes. A Job Management Service makes computing resources available to the grid for CAE simulations and a repository service stores the simulation results to avoid identical queries and provide immediately the data to the process controller. GridMPC has been built using web services, taking security in consideration. The overhead of the grid architecture is found to be acceptably small.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it