Submit an Article
Become a reviewer
Aleksei V. Boikov
Scientific Director of the Educational Research Center for Digital Technologies, Ph.D.
Saint-Petersburg Mining University
Personal or department link
Scientific Director of the Educational Research Center for Digital Technologies, Ph.D.
Personal or department link
Saint-Petersburg Mining University
Санкт-Петербург
Russia
389
Total cited
12
Hirsch index

Articles

Metallurgy and concentration
  • Date submitted
    2020-06-23
  • Date accepted
    2021-03-02
  • Date published
    2021-04-21

Automated digitization of radial charts

Article preview

Radial charts were commonly used in the industry to allow retrospective assessment of technological parameters. Today it is relevant to digitize the obtained data in order to simplify the automation of technological processes. Digitization of radial charts by means of standard methods is carried out with the help of human labor at significant time costs. The article proposes an automated method for digitizing radial charts using software, developed in the LabVIEW programming environment. The results of processing radial charts are displayed on the screen in numerical and graphical form, and can also be exported to a file (for example, to Notepad or MS Excel). The presented technique can be applied to images obtained on a color or black-and-white scanner, which minimizes geometric distortions, associated with the conversion of a paper document into electronic form, and ensures recognition quality of the clear plot line with an average relative error of up to 3 %. In case of ink fading or perspective photos of the diagram, the value of relative error can reach 8 %, as a result of which additional manual correction of the data will be required.

How to cite: Vasilyeva N.V., Boikov A.V., Erokhina O.O., Trifonov A.Y. Automated digitization of radial charts // Journal of Mining Institute. 2021. Vol. 247. p. 82-87. DOI: 10.31897/PMI.2021.1.9
Without section
  • Date submitted
    2012-09-05
  • Date accepted
    2012-11-06
  • Date published
    2013-03-01

Assessment of the fractional composition of rock chips

Article preview

The enrichment is an integral part of the production process at the moment. This article evaluates the fractional composition of crushed rock as a result of the vibrating screen. The research is based on the use of visual screening process analysis and computer processing.

How to cite: Ivanov P.V., Boikov A.V. Assessment of the fractional composition of rock chips // Journal of Mining Institute. 2013. Vol. 202. p. 269.
Automation of technological processes аnd manufactures in mining and processing industries
  • Date submitted
    2010-10-19
  • Date accepted
    2010-12-25
  • Date published
    2011-04-01

Spheres of using technical vision

Article preview

Influence of computer technology in all spheres of activity currently tremendously. Introduction of innovative ideas to simplify the manufacturing process, will protect and increase economic benefits. One of these locomotives is a system of technical vision: «smart camera» capable of performing its task, whose spectrum is diverse.

How to cite: Ivanov P.V., Boikov A.V. Spheres of using technical vision // Journal of Mining Institute. 2011. Vol. 192. p. 190.
Automation of technological processes аnd manufactures in mining and processing industries
  • Date submitted
    2010-10-21
  • Date accepted
    2010-12-29
  • Date published
    2011-04-01

Advantages of application of program complex LabView to creation of visual systems

Article preview

Automatization in manufacturing process is a very urgent question at present time: it's based on complexity and health hazard of work at metallurgical factories. Tehnical vision may become an innovative decision for this problem. In the article main backgrounds and topics are described. Also methods for their realisaton with using of LabView software of «National Instruments» Company are offered.

How to cite: Ivanov P.V., Boikov A.V. Advantages of application of program complex LabView to creation of visual systems // Journal of Mining Institute. 2011. Vol. 192. p. 216.