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A computer simulation of the automatic control of continuous mining machines has been prepared, similar to previous simulations of longwall mining systems and coal thickness sensors. The simulation allows for programmed variation of the horizon detection method, the azimuthal guidance system, the type and configuration of the miner, varying hardness in the unmined face material (leading to varying error in the machine heading), and the miner's cutting cycle. It simulates control of the miner in three axes. Use of the simulator makes it possible to anticipate problems arising from the complex character of underground mining, which include unpredictable multi-pass coupling and unpredictable variation in geological conditions.

Jan 1, 1993

By Michael G. Nelson

A computer simulation of the automatic control of continuous mining machines has been prepared, similar to previous simulations of longwall mining systems and coal thickness sensors. The simulation allows for programmed variation of the horizon detection method, the azimuthal guidance system, the type and configuration of the miner, varying hardness in the unmined face material (leading to varying error in the machine heading), and the miner's cutting cycle. It simulates control of the miner in three axes. Use of the simulator makes it possible to anticipate problems arising from the complex character of underground mining, which include unpredictable multi-pass coupling and unpredictable variation in geological conditions.

Jan 1, 1993

By Paul G. Mahoney

The original Radum aggregate plant, built by Henry Kaiser in 1931, is the oldest of the nearly 200 individual operations established by the Kaiser companies. Since that time it has been producing aggregate products primarily for the San Francisco Bay Area. Currently, and for many years, this plant has been listed as the Nation's No. One aggregate producer. Early this year a new $10,000,000 facility went on line replacing the old plant. Construction of the facilities was performed under the direction of Kaiser Engineers construction management teams. The existing plant continued to operate without interruption during the entire construction period.

Jan 1, 1970

By W. H. Schiffbauer

The U. S. Bureau of Mines has been investigating methods and technology that, when applied to existing continuous coal mining machines, may improve production and safety. Toward those goals, a microcomputer network has been designed that provides automated control and monitoring of all mining machine systems using a single twisted pair cable (two conductor stranded wire twisted together to provide a level of noise rejection). The network also provides -connections for intelligent sensors and systems for navigation and diagnostics. The flexibility of the network is demonstrated in that features can be added and removed without redesigning the whole system. A general description of the network's integration to a Joy' 16CM, Joy 14CM, Jeffrey 102, and a custom built auger machine is provided. The microcomputer networks for the Joy 16CM and the Jeffrey 102 have been installed onboard the mining machines and have been extensively tested at the Bureau of Mines test facility. The Jeffrey 102 system has also been tested in an actual highwall coal seam. Both systems have performed satisfactorily. The microcomputer networks for the Joy 14CM and the Auger Miner have been tested and await installation on the respective machines.

Jan 1, 1990

By S. Agarwal

The mining industry collects a significant amount of operational data. However, gleaning useful information from the terabytes of data is difficult, and not just because of the sheer volume of the data. Therefore, an automated tool was developed at the University of Alaska Fairbanks to go through data and apply very sophisticated statistical and neural network techniques, to identify the data streams that are important to a process. This paper presents results from the tool as applied to SAG mill data from a gold mine. The results were benched against commercial tool. Results indicate that there was little or no loss in performance by automating the very complicated process of neural network modeling. Therefore, the intent of the exercise, to examine if complicated modeling tasks can be automated, was realized.

Jan 1, 2011

By D. Papacharalampos

A combination of decision- theoretic and knowledge-based methods can be used to classify rock-types from satellite data both efficiently and accurately. An expert system utilizes knowledge-based rules, as a field geologist does, to produce results that make geological sense. Our expert system (GEMS), first processes background information from preexisting knowledge and develops a plan, then classifies individual pixels, and finally generalizes the results using geological rules and plots a map. The system is implemented on a microcomputer and is inexpensive enough to be a part of the standard equipment of any geologist who prepares reconnaissance maps.

Jan 1, 1986

By Lane White

This is a truly exciting time in surface mining technology. A revolution is coming - a revolution made possible by complete mine management systems working in concert with many devices currently available or in the prototype stage. By the turn of the century, the face of surface mining will indeed be different. Imagine . . . an operatorless drill moving around a blast pattern drilling off rounds in record times ... a satellite-based positioning system and drill data combining to report diggability to a shovel operator based on the position of his shovel in a blast ... a driverless truck warning central dispatch of an impending mechanical problem and being reassigned to the shop ... an infrared detector diagnosing the problem, for which the mine management system generates a maintenance work order and, once the problem is corrected, re-dispatches the truck to the optimum shovel.

Jan 1, 1994

By S. G. McDowell

Automation techniques are used during the design stage of continuous miners to decrease the time required and ensure the accuracy of the design. This is followed by automated manufacturing processes to reduce manufacturing time and improve the quality and consistency of parts. Combined, the result is a more reliable machine that can provide ongoing production capability. With the use of automation to enhance operator effectiveness and monitor machine condition, the productivity of machines is also improved. Productivity of continuous miners doubled over a 10-year span (Fig. 1). Although this article focuses on the continuous miner, it should be recognized that production increases of the continuous miner would not be realized without increased capabilities throughout the rest of the mining system. There are several aspects of automation that have played a role in providing increased continuous miner productivity. Though some are considered indirect, they still had significant influence on the overall result. Basically, productivity increases are obtained by cutting, loading and transporting the coal at a maximum rate. In addition, these tasks must be consistent, with minimal downtime. Therefore, the miner had to improve in operational capability and reliability. Automation techniques used during machine design, manufacturing and operation have all played significant roles in achieving higher productivity.

Jan 1, 1991

By C. L. Sarff

[Automation has become a word that means many things. To management it is the end of the rainbow; you push a button and all your problems are solved. To the working man it is a horrible monster that is taking his livelihood away. To the maintenance man it is a complex that overwhelms him when he thinks of trying to find the trouble when the machine is not operating, properly. Automation has been with us in the coal nines for many years. Long before my time you were using float switches on mine sumps to control the level of the water. That?s automation in the truest sense of the word, but we call it automatic and think nothing of it. If we use the word automatic instead of automation your mine electrician and mechanic will take hold of the problems in stride.]

Jan 1, 1962

By Steve Kral

Not too many years ago, mining was in one of its cyclic down-sides. This forced mining companies into some innovative thinking to bring down the costs of production. And they have. Mining equipment and processing plants have become more efficient, mostly due to technological advances. The mining industry is now in a boom period, one that some analysts believe can sustain itself. But even with higher commodity prices, sky-rocketing energy costs and the costs associated with environmental and reclamation regulations have not allowed all mines to reach their full profitability potential.

Jan 1, 2006

By M. Shriwas, F. Calizaya

"Recirculation is prohibited in many coal mining countries because of the fear that the re-use of return air would allow the build-up of air contaminants at the workings. The incorrect design and location of a booster fan in any ventilation network can create unsafe condition due to recirculation. The current approach to investigating recirculation using simulation software requires manual effort which becomes tedious in a complex and a large network. An algorithm-based C++ program was designed to detect the recirculation in a booster fan ventilation networks. This program needed an input file prepared from output file generated by any ventilation simulator. This program created an output file for recirculation. This program demonstrated the strong capability to detect the recirculation in a sample network and a coal mine ventilation network. The outcomes of this program were documented in this paper. INTRODUCTION The proper design and location of booster fans eliminate the safety hazards associated with high main fan pressure. Conversely, the incorrect design of booster fans in any ventilation network can create unsafe conditions due to uncontrolled recirculation. The proper utilization of a booster fan derives benefits to reduce the main fan pressure, leakage, and consequently ventilation cost especially with high resistance network due to deep and extensive working area in a mine. However installation of booster fan may create uncontrolled recirculation, if it is not sized and located properly with respect to main fan. Recirculation is prohibited in many coal mining countries because of the fear that the reuse of return air would allow the build-up of air contaminants at the workings. Therefore, it is imperative to check the recirculation while designing and operating booster fan for a ventilation network. This paper deals with an algorithm based C++ program to detect the recirculation in a booster fan ventilation networks. This program was implemented to detect the recirculation in a sample network and a coal mine network. STATEMENT OF PROBLEM The currently available ventilation simulation programs do not give much information about recirculation for the generated solution (fan pressures). The current approach to investigating recirculation using simulation software requires manual effort, i.e., traversing from node to node in the output network by the simulator while keeping tracks of all the nodes that form recirculation paths. This is an easy task in a simple ventilation network, but it becomes tedious and sometimes very confusing in a complex and large network. Moreover, the presence of multiple recirculation paths makes the manual effort more complex and difficult, especially in separating multiple loops that are connected together. Thus, there is a need for a more efficient program that will detect and quantify the recirculation efficiently, for the generated fan pressures. A program is developed to detect the recirculation(s) in a network."

Jan 1, 2015

By Stefan Mede

Automation in segment production doesn’t necessarily mean the use of robots. Several other aspects of automation in the process are available. Herrenknecht has collected many experiences in the automation process of carousel systems for segment production, implemented several robot systems and launched new artificial intelligence-based camera system supporting the production team in the quality control This paper is a follow up of the presentation on Automation in Segment Production held in 2021 at the RETC.

Dec 1, 2022

By Irwan Halim, Bhoshaga Mitrran Ravi Chandran, Kevin Huynh

Tunnel segmental lining design constitutes a significant iterative process where modeling and numerical analysis are factors in deciding the number of segments, their dimensions, gasket placements, as well as the locations of dowels and bolts. Consequently, these modifications lead to revisions in the final drawing details. However, the current tunnel engineering practices lack systematic solutions that effectively bridge the gap between the iterative design process and efficient visualization of completed drawings due to the time- consuming nature of redrawing. This paper presents a pioneering application of AI-driven solutions including using Autodesk's API, for the Northside Interceptor Tunnel (NSIT) Project. It showcases the automation of drawing design and the real-time visualization of modifications, thereby streamlining the drawing process.

Jun 23, 2024

By H. W. Rimmer

Automation in the aggregate industry is characterized by the increased use of purpose-built PLC systems put together by independent computer-control houses and/or equipment suppliers. These systems range in complexity from simple startup/shutdown sequencing systems through to complete centralized control/MIS systems that are increasingly concerned with providing timely information on overall plant and/or equipment performance. As such, they should be of considerable interest to the operator seeking low-cost solutions to the many problems associated with the effective operation of small-scale plants.

Jan 1, 1989

By Kritika Baxla, M. Mustafa Kahraman, Frank A. Drews, Yaxue Wang, Joel M. Haight, Kody Powell, Mohit Sobalkar, W. Pratt Rogers

In the opinion of these authors, technology alone can never give an organization an edge over competitors or provide an industry step change. However, history has shown that technology applied with correct logistics and strategy makes a significant difference. Never has the minerals industry faced such daunting challenges and been in such need of a step change. Application of autonomous systems has been steadily increasing in the minerals industry. Automation technology has changed the mining value chain from exploration to mineral processing and refining. The future state will only see additional in-roads of automation into more processes and the whole system design. To better understand the near-future potential of automation, it is useful to explore and review the current state of automation in minerals development. A review of the state of automation research is given. The review will consider three critical areas: automation technology, system’s engineering and management processes around automation, and the role of human factors engineering in automated and semi-automated systems. The review ends with a discussion on the social and political risks of automation in terms of shared value and sustainable development.

By Kritika Baxla, M. Mustafa Kahraman, Frank A. Drews, Yaxue Wang, Joel M. Haight, Kody Powell, Mohit Sobalkar, W. Pratt Rogers

In the opinion of these authors, technology alone can never give an organization an edge over competitors or provide an industry step change. However, history has shown that technology applied with correct logistics and strategy makes a significant difference. Never has the minerals industry faced such daunting challenges and been in such need of a step change. Application of autonomous systems has been steadily increasing in the minerals industry. Automation technology has changed the mining value chain from exploration to mineral processing and refining. The future state will only see additional in-roads of automation into more processes and the whole system design. To better understand the near-future potential of automation, it is useful to explore and review the current state of automation in minerals development. A review of the state of automation research is given. The review will consider three critical areas: automation technology, system’s engineering and management processes around automation, and the role of human factors engineering in automated and semi-automated systems. The review ends with a discussion on the social and political risks of automation in terms of shared value and sustainable development.

By W. B. Weston

To mining people who have experienced the tremendous expansion of existing operations and the development of new properties over the last several years we do not have to point out the difficulties in hiring skilled equipment operators. To those of you who have opened operations in some of the more remote places in the world this is not just a difficulty. It is an impossibility. Your only recourse has been to try and train whatever manpower has been available. Depending upon your success in training, the next problem has been to keep them. On todays modern equipment, the skill of the operator remains as the greatest single variable affecting the performance of the machine. On a blast hole drill, for example, a skilled operator will get good production footage, acceptable bit life and minimal machine downtime The unskilled operator will not only fail to get the acceptable production footage but all too frequently this failure is coupled with low bit life, high repair costs and excessive machine downtime. Even between experienced operators, on identical machines, in the same kind of material we find significant variations in performance. It is, therefore, the skill of the operator, not just his experience, which makes the difference. The problem, as presented to us by our customers, has been to find a way for the unskilled man, with minimal training, to match the performance of the most skilled and experienced operator. The obvious answer is automation.

Jan 1, 1970

By John Turner, David Carey

The Robbins Mobile Miner demonstrates the successful combination of hard rock excavation technology and the latest electronic control technology. The mobile miner, a partial face hard rock tunneling machine, features a fully integrated control system relying on a Programmable Logic Controller (PLC). This PLC controls all functions: tramming, steering, boom swing, cutting depth, conveyor operation, air scrubbers, hopper loading and unloading, etc. The machine is fully instrumented allowing the PLC to monitor the results of all commands on a continuous basis, to record data, to evaluate developing problems, or to shut the machine down if necessary. The paper describes the development of the Robbins - Pasminco automated mobile miner and early testing at Pasminco Mining's Broken Hill Southern Operations, New South Wales, Australia.

Jan 1, 1993

By Alan English

This paper reviews the process control systems used in early commercial pelletizing plants, traces the development of these systems into present day practice, and briefly outlines advanced automation concepts being considered for future installations. It deals specifically with controls for the balling circuit, pelletizing machines, and related material handling and combustion equipment. The importance of instruments for visual observation and data logging is discussed, and the potential use of computer control is evaluated.

Jan 1, 1965

By John R. Riede

Most modern crushing and grinding facilities are automated to some degree. Some, of course, have a very minimum of automatic control whereas others utilize very complex control equipment. However, with very few exceptions, the re has not been a new basic control philosophy applied in this field in the past seven years. The philosophy has been broadened in scope and applied to larger plants, some of them with data logging and so- called computer control, but almost always the same tried and proven basic control philosophy is the basis for the control system. New types of control devices to better implement the automatic control have been developed and are continuing to be developed. These devices and their application will be explained and the advantages and disadvantages of each will be discussed. Automatic lubrication of plant equipment is most essential, but this paper will not cover these systems. The use of data logging and computer analysis of the data obtained is fairly recent and it is hoped that by careful analysis of this information that new and better basic control philosophy will be forthcoming. This paper will describe the basic philosophy applied in its simplest form to several types of crushing and grinding equipment, and it will describe how it is being expanded to more complex systems. Some of the economics with regard to first cost, return on investment and maintenance will be covered.

Jan 1, 1965