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.

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.

scholarly journals Using a wavelet medium for computer-aided controlling the movement of unmanned vehicles along quarry routes

2021 ◽  
Vol 1 ◽  
pp. 103-112
Author(s):  
Ivan V. Chicherin ◽  
◽  
Boris A. Fedosenkov ◽  
Ilia S. Syrkin ◽  
Vladimir Iu. Sadovets ◽  
...  
Keyword(s):  
Wavelet Transforms ◽  
Wigner Distribution ◽  
Matching Pursuit ◽  
Unmanned Vehicles ◽  
Gabor Wavelet ◽  
Open Pit ◽  
Open Pit Mining ◽  
Frequency Distributions ◽  
Time Frequency ◽  
Opencast Mine

Introduction. It is established that the most effective tool for monitoring and controlling the dynamics of current trajectories (CT) of unmanned vehicles (UMV) when moving along opencast mine routes in open pit mining is the wavelet transforms technique. Methodology. A detailed analysis of the procedures related to the technology of converting 1D-current trajectory signals (CT-signals) into a multidimensional medium of time-frequency distributions (TFD) is carried out. The Wigner distribution is selected as a working distribution for processing CT-signals. This distribution is considered from the point of view of its ability to represent one-dimensional CT-signals of UMV in an information-intensive and functionally transparent format of specific TFDs. Research results and analysis. On the example of curved routes, the nature of the so-called forward and reverse transients of CT-signals of UMV, formed in the subsystems of external and autonomous control (ECSS and ACSS) of unmanned vehicles, is considered. Mathematical tools are described for wavelet transformations: Gabor wavelet functions, the wavelet matching pursuit algorithm (MP-algorithm), and Cohen’s class time-frequency wavelet distributions. Conclusion. The procedures of processing the trajectory signals with using the means mentioned above make it possible to implement effectively the functions of controlling the UMV movement along current trajectories formed by the system on opencast mine routes.

scholarly journals Dynamic modal control of unmanned vehicle movement in open pit mining

2021 ◽  
Vol 44 (3) ◽  
pp. 271-284
Author(s):  
I. V. Chicherin ◽  
B. A. Fedosenkov
Keyword(s):  
Wavelet Transforms ◽  
Open Pit ◽  
Open Pit Mining ◽  
Modal Control ◽  
Frequency Distributions ◽  
Unmanned Vehicle ◽  
Time Frequency ◽  
Cohen's Class ◽  
Computer Aided ◽  
Modal Controller

The purpose of this study is to present a number of aspects in the modern concept of computer-aided dynamic modal control of unmanned quarry vehicles in open pit mining. In particular, the software and hardware module that is a part of the “Smart Quarry” global structure deals with the conditions of matching a form of specific current trajectories (their deviation to the left or right of the nominal axial trajectory) to information “trajectory” chirp signals. The study employs the methods of wavelet transforms to convert one-dimensional signals that generate unmanned vehicle current trajectories into the time-frequency distributions of Cohen’s class. The formation of unmanned vehicle current trajectories under their deviation to the left / right from the nominal axial trajectory on straight and curved routes is considered schematically. It is noted that the tracking of unmanned current trajectories on quarry routes is carried out taking into account the nature of trajectory signals. The difference between the introduced dynamic modal control of the unmanned vehicle and the static one is formulated. Some fragments displaying 1D-signals in a wavelet medium are introduced into the autonomous and external control subsystems. The computer-aided control system uses such elements of the wavelet transforms technique as Gabor wavelet functions, the wavelet matching pursuit algorithm, and Cohen’s class time-frequency distributions. The research results in formulating the criteria for forming the unmanned vehicle current trajectories by the control system in the form of its reactions to sporadic disturbances caused by the occurrence of static or dynamic obstacles on a route. The algorithm of dynamic modal control of current trajectories has been developed. The concept of forward and reverse transient processes of signals of unmanned vehicle trajectory deviation has been introduced. The estimation procedure of modal controller parameters has been described. The algorithm has been developed for modal controller matrix recalculation, which has the form of the chain of sequentially implemented matrix procedures. It should be noted in conclusion that a computer-aided system for modal control of current trajectory deviation has been developed on the basis of the performed research. It enables to implement the functions of controlling the dynamics of technological and safe movement of unmanned vehicles along the quarry routes in a conflict environment of open pit mining.

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 Developing the concept of autonomous control of the quarry vehicles movement

2021 ◽  
Vol 315 ◽  
pp. 03023
Author(s):  
Ivan Chicherin ◽  
Boris Fedosenkov ◽  
Dmitriy Dubinkin ◽  
Wang Zhenbo
Keyword(s):  
Wavelet Transforms ◽  
Unmanned Vehicles ◽  
Autonomous Control ◽  
Open Pit ◽  
Wavelet Representations ◽  
Dump Trucks ◽  
Opencast Mines ◽  
Analytical Tools ◽  
Effective Conditions ◽  
A Current

Introduction. The article presents the results of studies related to the description of the synthesis and further analysis of the dynamic behavior of unmanned vehicles (UMVs) operating at coal opencast mines and other mining enterprises. The relevance of the research topic is dictated by the need to create safe and effective conditions for overburden / mining and mining transportation operations. This is ensured, among other things, by the operation of unmanned heavy-duty dump trucks. Purpose of the work: in the course of the research, a concept was developed for the formation of route parameters and models of the dynamics of movement of UMVs along technological routes. Methodology. The paper describes the technology for generating and processing signals in control subsystems as part of an automated dispatching system and an on-board subsystem for autonomous control of the UMV. Research methods include the study of the shapes and characteristics of current trajectories (CT) in relation to a nominal axial trajectory (NAT). In this case, a current trajectory of the UMV is considered within the framework of the so-called S-frames, which are formed as geolocations on a certain working UMV route from a bench face to the place of unloading and vice versa. As a variable characterizing the UMV behavior on a current trajectory, a 1D-signal with a time dependent frequency is adopted, the nature of the change of which is determined by the CT dynamic shape relative to the NAT. Results. Such chirp signals – together with the wavelet transforms technique introduced into consideration – allow us in a semantically transparent and information-rich videographic form to display and subject to further processing signals characterizing the current behavior of a UMV on a route. The resulting parameters of such secondary wavelet representations of the current UMV dynamics (wavelet maps) are further planned to be used in the subsystem of dynamic modal control of the UMV movement in the open pit. Conclusions. The results of the studies carried out make it possible to form current routes of UMV movement according to the models generated based on the analytical tools accompanying the dynamics of the UMVs, proposed in the work.

scholarly journals MONITORING OF THE DYNAMIC STATE OF AUTONOMOUS HEAVY PLATFORMS ON THE QUARRY ROUTES OF MINING ENTERPRISES

2020 ◽  
Vol 12 (4) ◽  
pp. 600-608
Author(s):  
Svetlana KOSTYUK ◽  
◽  
Ivan CHICHERIN ◽  
Boris FEDOSENKOV ◽  
Dmitry DUBINKIN ◽  
...  
Keyword(s):  
Matching Pursuit ◽  
Open Pit ◽  
Dynamic State ◽  
External Control ◽  
Time Frequency ◽  
Chirp Signals ◽  
Computer Aided ◽  
Matching Pursuit Algorithm ◽  
The Right ◽  
Current Monitoring

Purpose of work. The article presents the results of theoretical research and developments obtained at the Kuzbass state technical university on the implementation of current monitoring and bringing about signal processing procedures for the dynamic state of autonomous heavy platforms (AHP) on open pit mine routes. In order to obtain information about the generated current trajectories (CT) of unmanned mining dump trucks, in the software and hardware complexes of the computer-aided dispatching system (in the external control subsystem – ECSS and the autonomous control subsystem – ACSS) installed on-board of an AHP, one-dimensional (scalar) continuous signals (hereinafter converted into discrete digital ones) with a time-dependent instantaneous frequency, the so-called chirp signals, are put in accordance with the current trajectories of the AHP. Research methods. This approach makes it possible to continuously monitor and manage the dynamics of current ATP trajectories with a high degree of efficiency. Note that for the purpose of information-rich and semantically transparent representation of information about the current state of the AHP CT, the chirp signals of the CT are converted into multidimensional Cohen’s class time-frequency wavelet distributions. The Wigner-Ville distribution (hereinafter referred to as the Wigner distribution) is selected as a working tool for performing computational procedures in the hardware / software module. This distribution is based on the Gabor basis wavelet functions and the wavelet matching pursuit algorithm. The choice of Gabor wavelets as the main ones is explained by their sinusoidal-like shape, since they are sinusoidal signals modulated by the Gauss window. On the other hand, the analyzed 1D-signals indicating the current position of the AHP on the route are also sinusoidal-like. This makes it possible to approximate current signals with high accuracy based on their comparison with the wavelet functions selected from the redundant wavelet dictionary. This approximation is adaptive, since it is performed on separate local fragments of the signal analyzed depending on approximating wavelets. This is the essence of the wavelet matching pursuit algorithm. The resulting wavelet series is then transformed into the Wigner time-frequency distribution, which is used to form a corresponding CT. Research results. As an example, reconstructions of time-frequency distributions (TFD) are given, corresponding to the deviation of a certain CT to the left (the trajectory signal decreases exponentially) and to the right (the CT-signal increases) from the nominal axial trajectory (NAT). The calculated scalar signal and its TFD for the AHP CT deviating to the left from NAT are also presented. In addition, on the basis of theoretical explanations the calculated linear-increasing TFD is demonstrated, corresponding to the CT-deviation to the right from NAT, and the time invariant stationary TFD characterizing the movement of AHP along the NAT line. Сonclusion. Based on the results obtained, it is concluded that the most appropriate ways to monitor the current trajectories of AHP movement and procedures for processing the corresponding signals are the operations implemented in computer-aided subsystems of external and autonomous control and based on such concepts as the Cohen’s class wavelet distributions, Gabor redundant dictionary of wavelet functions, the wavelet matching pursuit algorithm, and the representation of technological chirp-signals, as well as frequency-stationary signals about the current AHP trajectories represented in the wavelet medium. In this connection, the authors concluded that the procedures realizing the current monitoring of AHP movement on open pit mine routes and implementing the process of analyzing a relevant dynamic change in current trajectories, described in the article and embedded in software and hardware autonomous and external control subsystems of "Smart opencast mine” are adequate for performing required functions. The introduction of the principles of computer-aided controlling the unmanned mining vehicles allows you to optimize labor costs for the operation of mining equipment, reduce the cost of current work, and attract highly qualified specialists for the development and operation of innovative transport equipment. The implementation of such prospects in mountainous regions (of a country) makes it possible to diversify the range of labor resources and, in general, contribute to the sustainable social and economic development of mountain territories.

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 On possible changes in the calculation of parameters of transport technology of open pit mining with the use of autonomous heavy platforms

2021 ◽  
Vol 315 ◽  
pp. 03015
Author(s):  
Dmitry Stenin
Keyword(s):  
Positive Impact ◽  
Open Pit ◽  
Open Pit Mining ◽  
General Study ◽  
Open Pit Mines ◽  
Calculation Of Parameters ◽  
Transport Component ◽  
Urgent Task ◽  
Transport Cycle ◽  
Dump Trucks

Reducing the costs of the transport component, reaching up to 50% or more of the total cost of the mined coal, is an urgent task that does not require additional confirmation. Since the development of measures to improve the purely technical indicators of motor transport at open-pit mines is beyond the scope of the general study, we will limit ourselves to the search for technological solutions that can have a positive impact on the overall cost of production. This may include, for example, the search for solutions to reduce the duration of the transport cycle and optimization of its components. It is also necessary to study the possible changes in the indicators of the transport technology of open-pit mining when using classic open-pit dump trucks and autonomous heavy platforms (unmanned open-pit haul trucks). The article presents an analysis of existing technical and technological solutions and research on the use of unmanned transport technologies. It is established that the parameters of transport technology will change to some extent with the introduction of unmanned heavy platforms, which will inevitably lead both to the correction of the existing regulatory documentation, and a possible revision of the classical postulates of open-pit mining.

Changes in the Atmospheric Pressure as an Unfavorable Factor of Work in the Deep Open Pits

2021 ◽  
pp. 35-38
Author(s):  
O.N. Dragunskiy ◽  
◽  
M. Rivkin ◽  
Keyword(s):  
Blood Pressure ◽  
Atmospheric Pressure ◽  
Dead Sea ◽  
Open Pit ◽  
Open Pit Mining ◽  
Sharp Change ◽  
Normative Documents ◽  
Dump Trucks ◽  
The Dead

The need in considering changes (including sharp) of the atmospheric pressure during the operation of deep open pits as one of the unfavorable factors is substantiated. It is believed that the atmospheric pressure in a particular region varies slightly-within 30–40 mm Hg per year. But at the present time, when only in Russia there are five open pits with a depth of 500 m and more, it is impossible to ignore changes in the atmospheric pressure in relation to workers moving, for example, by motor transport, from the surface to the bottom of the open pit and back. In this case, it can change by 50 or more mm Hg in half an hour. To solve the related problems, it is required to find out how atmospheric pressure affects the blood pressure of the open pit workers. The experience of the Dead Sea Clinic located in Israel at the Dead Sea at a depth of more than 400 m below the sea level is taken as a basis. Long-term measurements of the blood pressure in patients of the clinic revealed a tendency to decrease it by an average of 10–20 mm Hg. To prevent the adverse effect of a sharp change in the atmospheric pressure on people working in deep open pits, it is required to provide for appropriate measures of a different nature: technological (provide for changes in the characteristics of the open pit roads to ensure smoother descents and ascents of the dump trucks); technical (use of the conveyor and combined transport); organizational (including changes in the work and rest regimes of the working employees); regulatory (amendments to the relevant safety rules and other normative documents). To apply the results obtained in the open pit mining, it is necessary to conduct appropriate research in the operating deep open pits.

scholarly journals The Results of Mining and Geometric Analysis in Open Pit Mining of Promising Kuzbass Coal Deposits with Block System

2020 ◽  
Vol 174 ◽  
pp. 01020
Author(s):  
Alexei Selyukov ◽  
Andrey Gerasimov ◽  
Valery Grishin
Keyword(s):  
Geometric Analysis ◽  
Open Pit ◽  
Open Pit Mining ◽  
Overburden Rock ◽  
Mining Method ◽  
Resource Saving ◽  
Development Costs ◽  
Coal Deposits ◽  
Dump Trucks ◽  
Mining Procedure

Currently, in developing the most inclined and steep coal deposits in the Central and Northern Kuzbass (Western Siberia, Russia), the deeping longitudinal open pit mining method is used with overburden rock moved to external dumps using transport technology. One of the ways to reduce the rate of land withdrawal while reducing development costs by shortening the distance of overburden movement is to use block lateral mining method with overburden storage in the worked out space. The paper emphasizes that well-known technological solutions consider quarry fields untouched by mining, or in the process of exploitation, so the block mining procedure is using fragmentally along with moving overburden by dump trucks. Internal dumping, as an element of land preservation, has not been generally considered to date. This is a deterrent to the implementation of resource-saving mining technologies, both in design and mining practice.

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