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Record W3155069932 · doi:10.1109/mias.2021.3063089

Industrial Petrochemical Applications: Analysis of Progrmmable Logic Controllers and Distributed Control Systems

2021· article· en· W3155069932 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

VenueIEEE Industry Applications Magazine · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsRockwell Automation (Canada)
Fundersnot available
KeywordsProgrammable logic controllerIndustrial control systemDistributed control systemControl engineeringProcess controlControl systemPetrochemicalProcess (computing)Bridge (graph theory)EngineeringControl logicAdvanced process controlControl (management)Instrumentation and control engineeringComputer scienceSystems engineeringElectrical engineeringComputer hardwareArtificial intelligence

Abstract

fetched live from OpenAlex

Within industry today, advancements in process and control technologies have given way to differing control systems in the form of programmable logic controllers (PLCs) and distributed control systems (DCSs). Over the past decade, PLCs have become able to bridge certain gaps within process and control systems that were previously typically found only within DCS environments. This article will provide an overview of various control system strategies and design considerations with regard to both PLC and DCS schemes within petrochemical applications.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.236
Teacher spread0.222 · 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