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Record W4407805106 · doi:10.52363/2524-0226-2024-40-8

Оptimization of the composition of neutral gases for fire extinguishing in museum reservoirs

2024· article· en· W4407805106 on OpenAlex
Kostiantyn Ostapov, Oleksii Chaplyhin, Андрій Лісняк, Ihor Hrytsyna, Serhii Shevchenko, Yevhen Kryvoruchko

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProblems of Emergency Situations · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Industrial Safety
Canadian institutionsnot available
Fundersnot available
KeywordsComposition (language)Environmental scienceGas compositionAstrobiologyChemistryArtPhysicsThermodynamicsLiterature

Abstract

fetched live from OpenAlex

An effective fire extinguishing system has been created for extinguishing fires in museum warehouses with a mixture of neutral gases that do not distort museum artistic values and are able to compete with the best foreign examples of volumetric gas fire extinguishing systems. The proportion of the gas mixture consisting of argon, nitrogen and carbon dioxide has been optimized for fire extinguishing of museum art treasures. Taking into account the requirements of the Montreal Protocol on substances that deplete the ozone layer, an analysis of the state of the issue and the specifics of the solution to the problem of gas extinguishing fires in art museums and their fund storages was carried out. The direction of improvement of the existing automatic volumetric fire extinguishing installations with neutral gases has been determined. An effective and relatively inexpensive composition of a mixture of neutral gases has been developed for use in volume extinguishing of possible fires in fund repositories and museums, which ensures the preservation of material and artistic-aesthetic values without their distortion. Volume fractions of two mixtures of neutral gases № 14 (CO2=50 %, N2=40 %, Ar=10 %) and № 15 (СО2= 40 %, N2=50 %, Ar=10 %) were determined, which are close by its composition and have the best fire-extinguishing efficiency indicators in terms of extinguishing time of the model fire 4.6 s and 4.8 s. A test laboratory stand was created, as an analogue of a volumetric gas fire extinguishing installation with a mixer of the components of the proposed working mixture of neutral gases, on which the indicators of the effectiveness of extinguishing model fires were worked out when extinguishing samples of various fragments of artistic underdrawings on parts of line and Whatman. The technical parameters of the working chamber of the laboratory stand are substantiated, and the rational ratio of pressures filling the stand mixer with components of a mixture of neutral gases is recognized based on its mathematical model, which makes it possible to improve existing industrial installations of various sizes. The price reduction of the proposed neutral gas is justified.

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 score0.431
Threshold uncertainty score0.557

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)0.0010.000

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 head0.039
GPT teacher head0.271
Teacher spread0.233 · 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