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By S Mundell, J Armstrong, M Evans

"Automation is a common goal within the coal industry for reasons such as efficiency, reliability and sustainability. However, it requires standards and frameworks so business systems can communicate effectively. Automation of sample analysis processes has been difficult to establish due to a lack of direct business system communication between commercial laboratories and mining companies. This has resulted in manual procedures that have contributed to problems relating to analysis instructions, sample identification, results formats and visibility of status.These problems result in loss of data and confidence in data validity, loss of process efficiency and inability to react to issues. An Australian Coal Association Research Program project (Evans, Armstrong and Arboleda, 2014) has addressed these issues through the Coal Quality Data Exchange methodology for direct business system communication between coalminers and commercial laboratories to optimise the transfer of coal quality data.The benefits to the coalminer of the framework are:increased clarity and auditability of what is being sent to the laboratory and what was requestedreduced potential for error introduced through manual transcription tasksincreased speed of loading of analytical results to the customer Geoscientific Information Management Systemimproved turnaround time for analytical resultsincreased knowledge about what took place in the laboratory with respect to the determination of the analytical resultsincreased visibility of the status of a ‘work order’. The benefits to the technology companies and commercial laboratories is a common framework on which to build a sustainable solution that gets away from the multitude of formats catered for today and time consuming manual processes. The common framework significantly advances the future possibilities for the automation of sampling and analysis processes in a production environment.CITATION:Armstrong, J, Mundell, S and Evans, M, 2014. Automating communications between laboratories and mines – a case from the coal industry, in Proceedings Ninth International Mining Geology Conference 2014 , pp 351–360 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Aug 18, 2014

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 Egonk Arriagada, Brindel Barzola, Peter Leckie, Greg Zwolak, Gilmar Guzmán, Germán Chen

Newmont’s Yanacocha operation in Peru presented an especially challenging environment for reliable cyanide measurement and control, processing 3 semi-distinct complex ore types with feed Cu ranging from below 250ppm (as CuCN) to more than 5000ppm, and feed S ranging from low to 5%, resulting in cyanide consumption from as low as 1.5 kg/t to as high as 3.1 kg/t, and gold recovery ranging from approximately 57% to about 78 % (average plant performance based on the type of ore). A literature search by the authors to identify a method for accurate cyanide determination that was also suitable for automation settled on the work of Breuer et al (2011) as a basis. Early challenges in adapting the laboratory technique for the ‘real solutions’ and the range of variability experienced in the plant are discussed, as are other operational challenges due to the complex and changing solution chemistry.

Sep 30, 2022

By Shaun Booth

Automating Delay Reporting to Deliver Effective Maintenance Corporate Background: Technology Company: Matrikon Inc. Global software and service provider of Information Technology and Control Solutions that deliver Business Results. Case Study Facility: Bulga Coal Handling and Preparation Plant <CHPP> Australian site, part of Xstrata, an international Swiss natural resources group. Technology: ProcessMORe ? Missed Opportunity Reporting (Delay Reporting). Matrikon?s technology implemented at many facilities, to deliver effective maintenance Matrikon International Inc. Global software and service provider of Industrial Decision Support, maintenance and control solutions, with universal connectivity to existing systems and work processes. ? 1999 ? 100 employees ? 2003 ? 450 employees ? Our offices: 20 offices worldwide: ? Quebec, Toronto, Edmonton, Calgary, Ft.McMurray, Vancouver ? U.S. ? Australia (formerly Hunter Controls)

May 1, 2003

By B Delaney

For worker safety, mining companies are required to stop production and inspect hoist ropes. Visual inspection is generally done daily and EM inspection occurs every three to four months. During visual inspection, rope speed is generally reduced so an inspector can look for problems. In EM testing the LMA and LF traces are printed on a paper strip chart and a skilled operator interprets these traces. Mining companies only find large defects during visual inspection and are sometimes concerned about the content of EM trace information. This paper will present research outcomes that show how muck can be hoisted while performing a complete visual rope inspection at full speed. Other research results will show that digital signal processing can increase the amount of information available to the EM rope inspector. The research was funded by Inco, C-CORE, three AMIRA International sponsors and six sponsors from the Canadian Deep Mining Research Consortium (DMRC). The research will be commercialised in 2005.

Jan 1, 2005

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 Ken McClure, Alex Day

Located North of Williams Lake British Columbia, Gibraltar Mine is the fourth largest open pit Copper mine in North America. Gibraltar commenced Copper concentrate production in 1972 with a mill throughput rate of 30,000 tons per day. A series of expansion projects, including installation of a second SAG mill with variable speed drives in 2013, has increased mill throughput to 85,000 tons per day. Over the past 24 months, Gibraltar Mine in partnership with Spartan Controls has executed several advanced process control programming projects culminating in the implementation of a Continuous Speed Controller (CSC) for the most recently installed SAG mill. This paper covers development and results for the SAG mill speed controller. INTRODUCTION In January 2016, the price of Copper fell below $2.00 USD per pound, the lowest price in 7 years. Gibraltar Mine faced a significant challenge; how to maximize profit in an environment where capital spending was not an option. An opportunity was quickly identified to improve performance through increased automation and advanced control of the grinding processes. Beginning in March 2016, Gibraltar Mine partnered with Spartan Controls to introduce Advanced Process Control (APC) to the grinding circuits. The collaboration between metallurgical and process control engineering disciplines proved to be effective for achieving gains in throughput, reliability and productivity for the mill process. The Gibraltar milling facilities include 2 grinding-flotation plants for concentration of chalcopyrite ore with throughput rates of 58,000 tons per day (Concentrator 1) and 38,000 tons per day (Concentrator 2). Each of the two concentrators has a 34’ diameter SAG mill powered by 2 GE 4800 kW synchronous electric motors. For SAG 1 (in concentrator 1), power is transmitted through 2 Eaton Airflex clutches. For SAG 2 (in concentrator 2), the motors are driven by 2 TMEIC Variable Frequency Drives (VFDs). All programming is done using DeltaV, which Gibraltar uses as its Distributed Control System (DCS) and Human Machine Interface (HMI).

Jan 1, 2019

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 Smith P

The past 20 years have seen the replacement of hydraulic control of longwall mining systems by the neater. smaller and better controlled electronic units.Early problems of moisture and other effects on reliability were overcome to see electronically controlled supports chosen for Corrimal Colliery ten years ago. Lessons from Corrimal and elsewhere, with following improvements and sophistication led to wider use as exemplified by Meco and other electronically controlled supports used in more recent installations in New South Wales, Queensland, USA and Czechoslovakia of the total of over 80 electronically controlled support installations worldwide in the past decade. Present work is toward a fully "integrated face" of British Coal by 1993, incorporating the Meco automatic face straightening system already due for practical use in the UK later this year. However the manless face still appears to be some way off although the present minimum crews and close monitoring, including early warning, are promising stages.

Jan 1, 1991

By W. F. Heinz

The efficient and effective handling and logistics of materials for underground support is an important part of mine mechanization and automation. Support systems based on backfill material or grout slurries and pastes transported underground through pipelines (ranges) lend themselves to a large degree of mechanization. In contrast the installation of conventional support systems such as props, timber packs, brick packs etc., requires more handling and hence is labour intensive and more costly. RODIO/ROSOND has developed and improved significantly its high density slurry/low density paste conveyance system on surface and underground during recent years. The surface batching and pumping stations are computer controlled and operate with a minimum labour complement. The RODIO/ROSOND grout pack support system has some unique features such as the use of relay stations, which result in the following distinct advantages and benefits to mining operations: • No interference with shaft operations • No grout ranges under high pressure in shaft • Efficient reticulation from underground relay stations • Low capital cost • Better control of quality of materials (high density slurry/low density paste) placed • Proximity of the working place to the relay station facilitates control of installation. These specific characteristics of RODIO/ROSOND’s grout pack support system have resulted in more economical support for several mines in South Africa and Australia.

Sep 1, 2001

By E. J. Krokroskia

Fletcher Mill is located in the southern part of the New Lead Belt in Southeastern Missouri, in the northwestern part of Reynolds County. Shaft sinking began in July, 1964. The mill went on stream in February, 1967, and reached the designed rate of 5,000 tons per day in July, 1968. The ore occurs approximately 1,000 feet below the surface as disseminated deposits of galena, sphalerite and chalcopyrite. There is no oxidation within the ore body and dissemination is not fine enough to present liberation problems with a normal grind. Mining is by the room and pillar method with rubber-tired diesel- propelled drilling and loading equipment. The ore is dumped through a 27-inch square grizzly into a 5,000-ton pocket. The underground primary crusher is automatically fed by a vibrating feeder and discharges directly into skip measuring bins. Hoisting is automatic, in balance, with 8. 5-ton skips dumping into a 1,000-ton mill bin. MILL The concentrator is a 5, 000 tons-per-day single section plant equipped to produce lead, zinc and copper concentrates. Contained under 35, 347 square feet of roof, without fine ore storage or remote crushing, and with sufficient automation to be operated by one man, the plant is compact, unique, and efficient in operation. The design

Jan 1, 1970

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 I Sherrell, R Jain, P Jansson

With the depleting iron reserves and difficult market conditions, precision in separation efficiency is of utmost importance. Classical local control options are predominant in the industry, but their inability to adjust to resolve application problems of interest has furthered the need of developing and implementing continuous control methodologies.This paper highlights the recent development in control of Outotec SLon&#174; vertically pulsating high gradient magnetic separator (VPHGMS) including programmable logic controllers (PLC) coupled with distributed control system (DCS), on-site human–machine interface (HMI) control panel, advanced process control, continuous online sampling using Courier&#174; 8 and additional modernisation packages including level control and cooling monitoring. These modern control options result in improved efficiencies, promote safer operation and at the same time reduce operational manpower needs.CITATION:Jain, R, Sherrell, I and Jansson, P, 2017. Automation for efficient separation with the Outotec SLon&#174; vertically pulsating high gradient magnetic separator, in Proceedings Iron Ore 2017, pp 211–214 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Jul 24, 2017

By S. Bergquist

In this paper, it is investigated how different types of automation would affect the safety for workers in asphalt paving. The risk for the workers on road construction sites is consistently high in comparison to the average risk of the working population. Automation has been suggested as an alternative for improving the safety in roadside construction assuming that removing workers will inherently eliminate the risk of them being injured. In this paper, the potential for improving the safety using automation is analyzed in detail. By investigating accident statistics and understanding the type of accidents that appear, several different automated functions for increased safety are proposed and described. Based on available statistics, it is possible to estimate the safety benefit, as the reduction in fatalities, for several of the proposed functions. The highest safety benefit would be achieved by automating the road traffic driving through the work zones. This has the potential of reducing the total number of road worker fatalities with over 30 %. In addition, it would decrease the number of road traffic accidents in work zones. Automation of construction machinery and dump-trucks also has the potential to increase the safety.

Aug 1, 2013

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