Evidence map›Paper›PMID 42129452›Full record

ArticleScientific reports2026

Digital twin- enabled intelligent HMI for real-time industrial automation systems.

Galina Samigulina, Zarina Samigulina, Daulet Bekeshev, Timur Samigulin

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Galina SamigulinaInstitute of Information and Computing Technologies, Lab. «Intellectual Control Systems and Forecasting», Almaty city, 050010, Kazakhstan.
Zarina SamigulinaInstitute of Information and Computing Technologies, Lab. «Intellectual Control Systems and Forecasting», Almaty city, 050010, Kazakhstan. samigulinaresearch@gmail.com.
Daulet Bekeshev *Institute of Information and Computing Technologies, Lab. «Intellectual Control Systems and Forecasting», Almaty city, 050010, Kazakhstan.
Timur Samigulin *School of Information Technologies and Engineering, Kazakh-British Technical University, Almaty city, 050000, Kazakhstan.

Funding

This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic Kazakhstan (Grant No. AP23486386). AP23486386
6 · The paper itself

Abstract

The research is devoted to solving the urgent problem of industrial production intellectualization based on the creation of an intelligent HMI display using a unified artificial immune system (UAIS) with neuro-endocrine interaction technologies for the control of complex objects and equipment diagnostics in the oil and gas industry. The developed intelligent adaptive display with a predictive alarm system based on a digital twin of the technological process allows reducing the internal and external load on the operator during the operation of high-tech equipment at oil and gas processing plants. Control of the alarm system is of key importance for ensuring safety and maintaining the efficient operation of the production process, i.e. homeostasis. Of extreme importance is the problem of adequate reaction to decision-making by the operator in case of possible failures in the technological process and equipment operation. This issue is especially acute in the automation of large-scale complex production. The control of the alarm system is dynamic and can change depending on many factors. To process multidimensional information about the state of a complex object and predict the behavior of the system, a unified artificial immune system is used in interaction with an artificial neural network to identify informative features when working with historical data, as well as endocrine regulation of homeostasis in the system. With the help of an intelligent HMI display built on these principles, the internal load on the operator is reduced, which allows for effective decision-making on process management. The results of experiments and modeling using the proposed technology and the developed intelligent HMI display on Honeywell Experion PKS equipment in the Honeywell laboratory of the School of Information Technology and Engineering, Kazakh-British Technical University in Almaty, Republic of Kazakhstan are presented. This UAIS technology can be used with industrial equipment from other vendors for SCADA (Supervisory Control and Data Acquisition) and DCS (Distributed Control System) systems with support for web technologies HTML (HyperText Markup Language) and CSS (Cascading Style Sheets) in the development of displays for workstations and operator panels.

Indexed as

digital twinhomeostasisIndustrial artificial intelligenceintelligent HMI displayneuro-endocrine interactionneuroimmune interactionpredictive alarm systemunified artificial immune system

Identifiers

PMID42129452
PMCPMC13365563

What Socratic holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.