Evidence map›Paper›PMID 35270881›Full record

ArticleSensors (Basel, Switzerland)2022

Fiber-Optic System for Monitoring Pressure Changes on Mine Support Elements.

Vyacheslav Yugay, Ali Mekhtiyev, Perizat Madi, Yelena Neshina, Aliya Alkina, Farit Gazizov, Olga Afanaseva, Svetlana Ilyashenko

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

8 authors at 4 institutions in 2 countries.

Vyacheslav YugayFaculty of Power Engineering, Automation and Telecommunications, Karaganda Technical University, Karaganda 100027, Kazakhstan.
Ali MekhtiyevEnergy Department, S. Seifullin Kazakh Agro Technical University, Nur-Sultan 010011, Kazakhstan.
Perizat MadiFaculty of Power Engineering, Automation and Telecommunications, Karaganda Technical University, Karaganda 100027, Kazakhstan.ORCID 0000-0001-5930-8112
Yelena NeshinaFaculty of Power Engineering, Automation and Telecommunications, Karaganda Technical University, Karaganda 100027, Kazakhstan.ORCID 0000-0002-8973-2958
Aliya AlkinaFaculty of Power Engineering, Automation and Telecommunications, Karaganda Technical University, Karaganda 100027, Kazakhstan.
Farit GazizovDepartment of Economics and Organization of Production, Kazan State Power Engineering University, 420066 Kazan, Russia.
Olga AfanasevaInstitute of Energy, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.ORCID 0000-0002-6614-2728
Svetlana IlyashenkoBasic Department of Trade Policy, Russian University of Economics, 115093 Moscow, Russia.
Abylkas Saginov Karaganda Technical University · KZNational Research Tomsk State University · RUKazan State Power Engineering University · RUPeter the Great St. Petersburg Polytechnic University · RU

Funding

Scientific research was carried out using the laboratories of Kazakh Agro-technical University n.a. S. Seifullin. laboratories of Kazakh Agro-technical University n.a. S. SeifullinThe publication is based on the results of scientific research carried out at the expense of the project IRN No. AP09562222 "Information-measuring system of a new generation based on fiber-optic sensors". contract 254/12-2 of 15/07/21This research was done by Peter the Great St. Petersburg Polytechnic University and supported under the strategic academic leadership program 'Priority 2030' of the Russian Federation. Agreement 075-15-2021-1333 dated 30.09.2021
6 · The paper itself

Abstract

The paper presents the developed fiber-optic sensors for monitoring pressure measurement on the elements of mine supports. The sudden destruction of the support leads to the collapse of the mine workings and poses a serious threat to the life and safety of underground workers. A fiber-optic system for monitoring changes in pressures on the elements of mine supports will increase the share of mining automation and reduce the share of manual labor, as well as eliminate measurement errors associated with the human factor. Systematic monitoring of the state of the working elements of the support will allow timely tracking of their deformations caused by an increase in rock pressure on them. Implementation of the system at mining enterprises will expand the use of digital technologies in mining. Timely warning of a mine collapse threat will significantly increase the level of safe mining operations, as well as reduce the cost of supporting mine workings, since elimination of the consequences of destruction is associated with significant material costs. This work presents a developed laboratory testbench that simulates a mine working and elements of an arch support on which are installed the fiber-optic sensors connected to an automated measuring system. The developed hardware and software complex provides the processing of a light spot falling on the surface of a television matrix that is installed at the exit from the optical fiber. The results of visual processing are converted into numerical values, which are used to make a decision about the state of the considered object. In addition to automatic monitoring of the structural integrity condition of the considered object, the system is equipped with a function of a visual display for monitoring results, which makes it possible to track sharp fluctuations and bursts of pressure parameters, based on which the prediction of pre-emergency and emergency situations is performed.

Indexed as

Fiber Optic TechnologyMiningHumansOptical Fibersaccident preventionfiber-optic systemmine supportmining

Identifiers

PMID35270881
PMCPMC8914675
OpenAlexW4213426594

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.