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Record W2555112769 · doi:10.1016/j.ifacol.2016.10.097

Real-Time Simulation and Control of a SAG Mill

2016· article· en· W2555112769 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIFAC-PapersOnLine · 2016
Typearticle
Languageen
FieldEngineering
TopicIndustrial Automation and Control Systems
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsToolboxMillProgrammable logic controllerControl engineeringControl (management)Industrial control systemControl systemComputer scienceControl logicSystems engineeringEmbedded systemEngineeringOperating systemComputer hardware

Abstract

fetched live from OpenAlex

Real-time simulation plays an important role not only in the design and commissioning of new control strategies, but also in training the operators before the actual system is installed. There are in the market several simulation environments for carrying out these tasks. However, there is still a need of having more flexible environments that can be easily integrated with other systems and tools such as real-time optimization and advanced data analysis. In this work, several standard tools such as Simulink®/Simulink®, OPC toolbox, RSLogix 5000, and FactoryTalk® are integrated to simulate a control strategy for a SAG mill designed to keep the mill operating in the stable region by manipulating the fresh ore feed. The implementation of this strategy is based on standard control blocks available in the ControlLogix Programmable Logic Controllers (PLCs). Experimental results show the effectiveness of the proposed approach to integrate standard tools, and open new possibilities for further developments in the design of advanced monitoring and control strategies for industrial processes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.215
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it