scholarly journals Vehicles for Open-Pit Mining with Smart Scheduling System for Transportation Based on 5G

2021 ◽  
Vol 12 (5) ◽  
pp. 827-835
Author(s):  
Mohanad F Jwaid, Husam K Salih Juboori
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Vehicles ◽  
Open Pit Mine ◽  
Open Pit ◽  
Open Pit Mining ◽  
Transport Costs ◽  
Time Data ◽  
Nsga Ii ◽  
Scheduling System ◽  
Unmanned Vehicle

In the Recent times, various technological enhancements in the field of artificial intelligence and big data has been noticed. This advancements coupled with the evolution of the 5G communication and Internet of Things technologies, has helped in the development in the domain of smart mine construction. The development of unmanned vehicles with enhanced and smart scheduling system for open-pit mine transportation is one such much needed application. Traditional open-pit mining systems, which often cause vehicle delays and congestion, are controlled by human authority. The number of sensors has been used to operate unmanned cars in an open-pit mine. The sensors haves been used to prove the real-time data in large quantity. Using this data, we analyses and create an improved transportation scheduling mechanism so as to optimize the paths for the vehicles. Considering the huge amount the data received and aggregated through various sensors or sources like, the GPS data of the unmanned vehicle, the equipment information, an intelligent, and multi-target, open-pit mine unmanned vehicle schedules model was developed. It is also matched with real open-pit mine product to reduce transport costs, overall unmanned vehicle wait times and fluctuation in ore quality. To resolve the issue of scheduling the transportation, we prefer to use algorithms based on artificial intelligence. In addition to four other models we are proposing a decomposition-based restricted genetic dominance (DBCDP-NSGA-II) algorithm, which retains viable and non-facilitating solutions in small areas in order to improve the convergence, distribution and diversity of traditional high-dimensional multi-objective fast-dominated genetic sorting Algorithms (NSGA-II).

scholarly journals The wavelet transforms technique in the computer-aided system for controlling the quarry unmanned vehicles

2021 ◽  
Vol 315 ◽  
pp. 03022
Author(s):  
Ivan Chicherin ◽  
Boris Fedosenkov ◽  
Dmitriy Dubinkin ◽  
Wang Zhenbo
Keyword(s):  
Wavelet Transforms ◽  
Matching Pursuit ◽  
Effective Means ◽  
Unmanned Vehicles ◽  
Open Pit ◽  
Open Pit Mining ◽  
Frequency Distributions ◽  
One Dimensional ◽  
Time Frequency ◽  
Computer Aided

Introduction. Purpose of the work. Within the framework of the computer-aided system, a technology has been formed for the method of controlling the current trajectories (CTs) of unmanned vehicles (UMVs) when they move along routes in a quarry in open pit mining. The purpose of the presented studies is to analyze the application of a wavelet transforms technique to the problem of routing unmanned vehicles when they move along routes within open pit roads. Methodology. The results of modeling certain one-dimensional signals corresponding to the UMV current trajectories when they deviate to the left / right from a nominal axial trajectory (NAT), as well as their time-frequency representations in a wavelet medium are presented. An algorithm of the procedure for displaying scalar UMV CT control signals in a complex medium of time-frequency wavelet transforms has been developed and described. Such a transformation allows for a functionally transparent and information-capacious monitoring of the UMV movement and efficiently manage the processes of trajectory routing dump trucks in an open pit. Research results, analysis. The processes of modifying the UMV movement current trajectories under the control of the computer-aided system are generated using wavelet transforms methods. They are based on algorithms for projecting the trajectory signals with a time-dependent frequency (chirp signals) onto a set of wavelet functions as part of a wavelet thesaurus (wavelet dictionary), executing certain wavelet matching pursuit procedures, and displaying the CT scalar signals in a specific multidimensional medium of Cohen’s class time-frequency distributions. The simulation results in the form of the current trajectory (CT-) signals waveforms and their three-dimensional time-frequency representations as Wigner maps showing the UMV movement in a start-stop mode, as well as the signals of formed continuous deviation trajectories when they leave to the left and to the right from the NAT, are presented. An algorithm for the formation of 3D-representations of UMV current trajectory one-dimensional signals is presented. Conclusion. The conclusion is made that the mathematical technique of wavelet transforms is the most expedient and effective means for computer-aided monitoring and controlling the dynamics of UMV movement along routes within open pit roads.

Digital twins and modeling of the transporting-technological processes for on-line dispatch control in open pit mining

2020 ◽  
pp. 55-58
Author(s):  
I. O. Temkin ◽  
◽  
A. V. Myaskov ◽  
S. A. Deryabin ◽  
U. A. Rzazade ◽  
...  
Keyword(s):  
3D Models ◽  
Transport Processes ◽  
Open Pit Mine ◽  
Open Pit ◽  
Open Pit Mining ◽  
Russian Science ◽  
Digital Platform ◽  
Technological Processes ◽  
Digital Twins ◽  
On Line

This article discusses modern modeling technologies which open up new capabilities for creating a digital platform for open pit mining management. The specific details of the construction of an intelligent digital platform for the management of transport processes during mineral mining are discussed. A brief overview of the methods and tools for modeling technological processes in open pit mining is given. The stages to be overcome on the path of digital transformation of mines using dynamic 3D models are presented. It is proposed to use software environments of the gaming industry platforms and virtual reality systems as tools for the dynamic 3D modeling of objects. The classes of agents are introduced for the convenience of structuring the tasks to be solved. The basic functional and instrumental elements of the intelligent platform being developed at the present time are given, and also a simplified structure of the technological process control system in an open pit mine, including the prediction module, is presented. The principles of work are described, and the advantages of the specific tool for creating digital 3D models are also discussed. The results obtained in modeling a stage of a transport cycle in an open pit mine are reported. The research was supported by the Russian Science Foundation, Grant No. 19-17-00184.

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

2019 ◽  
Vol 29 (2) ◽  
pp. 571-591 ◽  
Author(s):  
Xuan-Nam Bui ◽  
Hoang Nguyen ◽  
Hai-An Le ◽  
Hoang-Bac Bui ◽  
Ngoc-Hoan Do
Keyword(s):  
Artificial Intelligence ◽  
Open Pit Mine ◽  
Open Pit ◽  
Artificial Intelligence Techniques

scholarly journals An Unmanned Intelligent Transportation Scheduling System for Open-Pit Mine Vehicles Based on 5G and Big Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 135524-135539 ◽  
Author(s):  
Sai Zhang ◽  
Caiwu Lu ◽  
Song Jiang ◽  
Lu Shan ◽  
Neal Naixue Xiong
Keyword(s):  
Big Data ◽  
Intelligent Transportation ◽  
Open Pit Mine ◽  
Open Pit ◽  
Scheduling System ◽  
Transportation Scheduling

Activities of Musan Mine observed by Sentinel-1 Coherence Imagery

2020 ◽  
Author(s):  
Jihyun Moon ◽  
Heejeong Seo ◽  
Hoonyol Lee
Keyword(s):  
Time Series ◽  
Satellite Images ◽  
European Space Agency ◽  
Open Pit Mine ◽  
Mining Activity ◽  
Open Pit ◽  
Open Pit Mining ◽  
Series Data ◽  
Mining Activities ◽  
Mining Site

<p>Musan mine in North Korea is the largest open-pit iron mine in Asia with the proved reserves of about 2.06 billion tons and more than 9 square kilometers. Open-pit mining is one of the surface mining technique extracting minerals from the surface. Vegetation is rarely distributed at the mining site because the topsoil is removed and the ore is mined directly from the surface. Therefore, it is effective to observe surface displacement at the mining site using Interferometric Synthetic Aperture Radar (InSAR) technology. InSAR coherence detects random surface change that measures the activity or stability of the interferometric phase of InSAR data. High coherence will be maintained on the surface where there is no movement and only surface scattering. On the other hand, the surface where there is a lot of movement and volumetric scattering has low coherence value. Therefore, using 12-days InSAR coherence images from Sentinel-1 satellites, for example, it is possible to analyze how active the open-pit mine is during the 12 days. Sentinel-1A satellite images were acquired from June 11, 2015 to May 24, 2016, followed by Sentine-1B satellite images from September 27, 2016 to April 21, 2019. A total of 102 SAR images were downloaded from European Space Agency (ESA) portal. There is a gap between May 24 and September 27, 2016 due to the transition of the data acquisition plan. Over 100 12-days coherence data were obtained by applying InSAR. Stable spots and target spots were selected through average and standard deviation of the entire coherence time series data. Coherence values include not only the mining activity but also the effects of perpendicular baseline, temporal baseline, and weather. Therefore, NDAI (Normalized Difference Activity Index) was newly defined to remove the noise and only the coherence value due to the influence of the mining activity was extracted. The degree of activities can be observed by the time series coherence and NDAI images. This study needs other references related to mining activities in order to analyze the mining activities in more detail. This method can be applied to other open-pit mine.</p>

scholarly journals Study on shaping slope stability of dump in eastern grassland open-pit mine

2020 ◽  
Vol 194 ◽  
pp. 04043
Author(s):  
Guo Xiaoli ◽  
Yan Jiancheng ◽  
Li Xueliang ◽  
Wen Xin ◽  
Li Xingli
Keyword(s):  
Slope Stability ◽  
Slope Angle ◽  
Mining Area ◽  
Open Pit Mine ◽  
Open Pit ◽  
Open Pit Mining ◽  
Dump Slope ◽  
The Stability ◽  
Step Type ◽  
Mine Dump

The dumps in the open-pit mining area in the eastern grassland are prone to landslides due to the fragile ecological environment, so it is inevitable to reshape the dump slopes. In order to explore a more scientific method for slope shaping of open-pit mine dump, slope stability analysis were used to compare effect of three types of slope-type (wave-shaped, slope-shaped and step-shaped slope shaping method)in outside dumping site of Baori Hiller open-pit mine. The results show that the slope stability is negatively correlated with the slope angle, and the stability of different shaping slopes is realized as wave-shaped slope (F=2.711)> Slope-shaped slope(F=2.513)>Step-shaped slope(F=1.047), in which the wave type and slope type are all within the safe range, but the step type slope is unstable; in consideration of cost, stability and erosion resistance, it is better to set the slope angle of the dump to 15°.The wave-shaped shaping method of the natural dumping of the excavation field outside the Baori Hiller open-pit mine has the best effect and is worth promoting.

scholarly journals FORMING SIGNALS OF CURRENT TRAJECTORIES IN COMPUTER-AIDED SYSTEM OF MODAL CONTROLLING UNMANNED VEHICLES IN OPEN PIT MINING

2021 ◽  
Vol 2021 (4) ◽  
pp. 35-44
Author(s):  
Ivan Vladimirovich Chicherin ◽  
Boris Andreevich Fedosenkov
Keyword(s):  
Control Object ◽  
Unmanned Vehicles ◽  
Open Pit ◽  
Open Pit Mining ◽  
Subject Field ◽  
Dynamic Type ◽  
Chirp Signals ◽  
Computer Aided ◽  
The Difference ◽  
And Control

The article defines the object of control in the form of signals of current trajectories (CT), along which unmanned vehicles (UMV) move. It describes the subject field of research – the principle and technology of forming the signals generated by the computer-aided system for modal controlling the UMVs during their movement along quarry routes. In order to develop procedures for identifying an upcoming trajectory of the UMV when bypassing some static or dynamic obsta-cles, conditions are included in the software and hardware complex for the formation of the UMV corresponding trajectory direction based on assigned sinusoidal-like frequency-time-dependent functions (chirp signals) responsible for redirecting the UMV along a particular trajectory. The cor-responding chirp signals for the left and right deviation trajectories of the UMV are fixed. The no-tion of sporadic disturbances and force-modal transient processes (TP) is introduced. There has been also reviewed a new description of TP, whose signal contains the variable frequency changing by a certain law depending on the direction and nature of a CT deviation and the environment of UMV. The essence and reasons for the effects of structural and parametric nonstationarity of the control object (CO) are explained. Analytical and graphical interpretations of the emerging non-stationarity caused by the introduction of additional stationary and dynamic-type poles into the CO are presented. It is noted that the stationary poles characterize the inertia of the aperiodic components of the trajectory chirp signals, and the dynamic ones determine the permanently varied frequency of transients (their chirp form). The properties of both sporadic and forced-modal TPs’ poles localized on the complex plane are characterized. Calibration characteristics are determined that establish a relationship between the instantaneous frequency of TP and the metric deviation of UMV CT relative to the nominal axial trajectory. The difference between the procedures of localization and re-localization of poles for modal upward and downward reverse TP, on which the efficiency and safety of UMV moving along the quarry routes, depends, is functionally identified and considered. All the procedures mentioned above make it possible to monitor online and control effectively the dynamics of operative and safe UMV trajectory moving along technological quarry routes in open pit mining

scholarly journals The technique of wavelet transforms in the computer-aided system for controlling the unmanned dump trucks movement

2021 ◽  
Vol 1 (3) ◽  
pp. 106-114
Author(s):  
Ivan V. Chicherin
Keyword(s):  
Wavelet Transforms ◽  
Matching Pursuit ◽  
Unmanned Vehicles ◽  
Open Pit ◽  
Open Pit Mining ◽  
Frequency Distributions ◽  
One Dimensional ◽  
Time Frequency ◽  
Computer Aided ◽  
Dump Trucks

Introduction, purpose of the work. Within the framework of the computer-aided system, the technology of a method is formed to control the current trajectories (CT) of unmanned vehicles (UMV) when they move along quarry routes in open-pit mining. The purpose of the presented research is to analyze the application of the wavelet transforms technique to the problem of routing unmanned vehicles when they move along quarry routes. Methodology. The results of modeling one-dimensional signals corresponding to the UMV current trajectories are presented, when the latters deviate to the left / right from the nominal axial trajectory (NAT), as well as their time-frequency distributions in the wavelet medium. The algorithm of the procedure for displaying scalar signals is developed and described to control UMV CT in a complex medium of time-frequency wavelet transforms. This transformation allows you to monitor the movement of UMV in a functionally transparent and informative way and effectively manage the processes of trajectory routing of dump trucks in the quarry. The analysis of research results. The processes of modifying the current trajectories of the UMV movement under the control of the computer-aided system are generated using the methods of wavelet transforms. They are based on algorithms for projecting trajectory signals with a time-dependent frequency (chirp signals) onto a set of wavelet functions within a wavelet thesaurus (wavelet dictionary), wavelet matching pursuit procedures, and representing scalar signals in a specific multidimensional medium of Cohen’s class time-frequency distributions. Simulation results in the form of waveform trajectory (CT-) signals and their three-dimensional Wigner time-frequency maps representing the movement of UMV in a start-stop mode, and the signals of formed continuous deviation trajectories while they deflect to the left and right of NAT. The algorithm for generating a 3D-image of a UMV current trajectory one-dimensional signal is presented. Conclusion. It is concluded that the mathematical technique of wavelet transforms is the most appropriate and effective one for computer-aided monitoring and controlling the dynamics of UMV moving along opencast mine routes.

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