Identification algorithm of diagonal branches in mine ventilation systems for higher safety in operation

Authors: Ushakov V. K.

Operating safety in mining is achieved through efficient and reliable performance of mine ventilation systems (MVS). The early-stage enhancement of efficient and reliable performance of MVS involves rehabilitation of the system without its re-design. When developing the procedure of choice of activities to ensure a rational current emergency maintenance tactics, it is necessary to formulate prestrategic rules. The source information in this case is the list of fault codes and a matrix of diagonal branches in the system of air consumers based on the simulation modeling of reference MVS performance to analyze its efficiency and reliability. The identification algorithm is developed to determine unsafe prohibited sequential ventilation (i.e. pollution) of air consumers and to select diagonal branches and air leakage points. The algorithm uses dynamic hierarchical segmentation of MVS with respect to fresh air flow and return ventilation current. The algorithm allows construction of a matrix of diagonal branches and leakage points. In view of dynamic nature of MVS, identification of diagonal branches and leakage points is performed in a real time in the form of air distribution calculation at the moment of a fault. This enables a real-time and optimized air distribution control when selecting efficient MVS rehabilitation tactics. Enhanced recoverability of MVS improves safety of mining by ventilation criterion and provides comfortable operation conditions for mine personnel.

Keywords: mine ventilation system, efficiency, reliability, rational rehabilitation tactics, prohibited sequential ventilation of air consumers, diagonal branches, air leakage points.
For citation:

Ushakov V. K. Identification algorithm of diagonal branches in mine ventilation systems for higher safety in operation. MIAB. Mining Inf. Anal. Bull. 2020;(12):147-155. [In Russ]. DOI: 10.25018/0236-1493-2020-12-0-147-155.

Acknowledgements:
Issue number: 12
Year: 2020
Page number: 147-155
ISBN: 0236-1493
UDK: 622.4:622.019.3
DOI: 10.25018/0236-1493-2020-12-0-147-155
Article receipt date: 03.08.2020
Date of review receipt: 01.10.2020
Date of the editorial board′s decision on the article′s publishing: 10.11.2020
About authors:

V.K. Ushakov, Dr. Sci. (Eng.), Professor, e-mail: vk.ushakov@misis.ru, National University of Science and Technology «MISiS», Moscow, Russia.

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