Automation of drilling and blasting passport formation with intelligent algorithms

    Industry 4.0, Vol. 6 (2021), Issue 1, pg(s) 14-17

    This article is devoted to the problem of a passport for drilling and blasting operations formation, taking into account the main
    characteristics. At most mining enterprises, this process is a manual calculation that leads to errors due to human factor and increases the
    time it takes to generate drilling and blasting passport, and, as a consequence, the time for drilling and blasting.
    The proposed solution is an automated complex that bases its calculations on the data of the cross-section mines shape, the dimensions of
    the height and width of the mine and the cross-sectional area in the tunnel, the fortress on the scale of prof. M.M. Protodyakonov and the
    thickness of the host rocks. All geometrical parameters of tunnel face are obtained automatically based on laser scanning. For further
    calculations, intelligent algorithms are used, implemented using deep learning neural networks (with python tensorflow library). It is worth
    noting that the final decision on the acceptance of the drilling and blasting passport is made by the person in charge. The result of using the
    proposed system is automatically generated passport of drilling and blasting operations, including its alternative variations (due to the
    passport chosen by the person in charge, the system will receive feedback to further improvement of the system algorithm).



    Industry 4.0, Vol. 1 (2016), Issue 2, pg(s) 97-98

    This paper introduces the mechatronic system – a mining locomotive for underground transport. It is presented as a mechatronic system that makes it possible to implement an integrated approach to integration of heterogeneous elements. Discussed are the electrical drive, measuring subsystem, control subsystem, transmission of data concerning the locomotive state. A system for reading the location of each locomotive is proposed that is essential for preventing accidents. Due to severe operating conditions it is necessary to receive updated information about the state and the location of the locomotive. The information system allows for keeping statistical data of all accident and emergency situations. The aim is to extend the service life of the locomotive, to reduce emergency repairs and avoid accidents.