All posts by Tiffany Dawson

AI helping underground mines

AI Myths in Mining

AI in Mining: Myths and Facts

AI helping underground mines

Can Artificial Intelligence be applied in the underground mining sector? Or is it a myth?

Maybe because it’s so new, and for so long has been in the realm of science-fiction, but Artificial Intelligence is surrounded by a number of myths. So too is Machine Learning, AI’s little sibling.  

But it shouldn’t be the realm of myth. AI may seem intimidating, but it won’t take over your mine. In the contrary, efficiency is what AI and ML target so that operations are optimized.

To help bust some of those myths, we’ve put together a guide to address some of what you may have heard about Artificial Intelligence and Machine Learning, and where reality truly exists. 

Myth: Machine Learning and Artificial Intelligence require huge investments only big corporations can make.

Fact: In underground hard rock mines, it’s easy to pick up quick wins on small projects. AI can do things as simple as sifting through the maintenance data you already have to help predict when haulage trucks will break down. 

Myth: AI and ML will replace all the people in your operation with algorithms

Fact: The technology doesn’t replace people at all. What it does is enhance workers’ ability to do their jobs with better information. Read our blog about ML algorithms do just that! 

AI improving Underground Hard Rock Mining operations

Myth: Working with AI is like working with a sentient person.

Fact: AI and ML algorithms are far, far away from human-like consciousness. There are ways in which algorithms are able to mimic some particular, narrow functions of the human brain. For example, they can play and learn to excel at games like chess or GO. But an algorithm designed for chess is never going to be able to have a conversation with you, and a conversational robot isn’t going to play chess. AI-driven technologies are designed to perform specialized tasks. And even if they can sound human, and can learn certain human thinking patterns, they aren’t nearly at the stage of full blown sentience.  

Myth: Machine Learning can work with any quality of data without problems.

Fact: While ML algorithms can work well with data that includes a lot of noise, there is a limit. If data is of poor quality, no matter how sophisticated the algorithm, it can’t be used. You can have mountains of data that is missing key information. Consider a mountain of data from a fleet of trucks, but the data is missing a timestamp—so the algorithm doesn’t know what day or time the data is from. Or maybe the data doesn’t identify what sensor it’s from—is it transmission temperature, or tire pressure? Automatically collected data by machines also tends to be more reliable than data manually entered by humans, particularly if it’s been over a long period. 

Myth: Artificial Intelligence and Machine Learning are dangerous.

Fact: Like any other piece of technology, AI is fallible. When using AI—or any technology—you should do so with a healthy skepticism. It’s important to counter-verify anything output from an AI or ML system. Like with any other new technology, you should make sure there is a person in the loop of the system. Not only will you prevent errors, but you will enhance that person’s ability to do their job. It has the added benefit of removing the repetitive, perhaps boring, tasks from many jobs, leaving the more interesting, in-depth analytical tasks for the user. 

Myth: Machine Learning is perfectly objective.

Fact: There are many ways bias can find its way into Machine Learning. Classic ML techniques rely on the engineering that created them. And the biases of the people that built those algorithms can shape and bias the system’s output. On the Deep Learning side of ML, data is given to the algorithm in the rawest possible form. In that case, the system can only be as objective as the data it is given. Any information given to an ML system by a person is subject to the biases of that person. The algorithms learn from what they are given. 

CIM addressed the power and pitfalls of predictive algorithms applied to mining last year through this article – an interesting read for more perspective.

Artificial Intelligence and Machine Learning Help Underground Mines Improve

Artificial Intelligence is the Next Frontier of Improving Underground Mining Operations

Artificial Intelligence is the Next Frontier of Improving Underground Mining Operations

Artificial Intelligence and Machine Learning Help Underground Mines Improve

What is Artificial Intelligence to Mining?

Artificial intelligence IS the next frontier of improving underground mining operations. But, we’re not talking about turning your mine into a hive of drones. This isn’t about upending your operations. Machine learning (ML) algorithms pull out patterns in data collected around your mine and fleet to predict problems before they occur. This vastly improves the efficiency of your mine.

"What machine learning algorithms do is pull out patterns in data collected... to help predict problems before they occur..."

At Agnico Eagle’s Goldex Mine near Val d’Or, Que., they’re saving on maintenance costs for the engines of their haulage trucks. This is thanks to the predictive analysis made using their historical data collected by Newtrax and applied to ML algorithms.

The maintenance team at Goldex discovered that their truck engines were sometimes failing, a lot earlier than expected. The team had suspicions on what was causing the problem and were alerted by the Newtrax Mobile Equipment Telemetry (MET) system. This provided them with a good indication. However, by using ML, we were able to sift through the data collected from the truck’s engine sensors far more quickly. We were able to pick out the patterns of what was happening with confidence resulting in faster time to action.

“[Newtrax] developed a system that enables us to predict issues at least two weeks in advance, even before the alarms, so we can intervene before we incur problems that break our engines,” Agnico's Daniel Pinard says.

Rather than spending $100,000 to replace an engine, they only had to spend about a quarter of that to make the necessary repairs. And at the same time were able to leave the truck in production, where it moves about 500 tonnes of material a shift.

This is what AI is all about. Finding small, manageable solutions that save costs and optimize processes.. Newtrax combined its in-house advanced ML expertise with the client’s data to achieve quick wins.

Read our previous article on how AI also improves Safety, Productivity and Profitability.

Machine Learning Intern explains ML algorithm in meeting on whiteboard for Underground mining

Newtrax AI Intern Léo Boisvert explains an algorithm to team members.

"It's not just engine failures that machine learning algorithms can predict in advance, it can see failure in smaller components, too."

It’s not just engine failures that machine learning algorithms can predict in advance! ML can see failure patterns in smaller components, too. Take batteries, as an example. Typically during normal usage, a battery puts out a precise voltage that holds steady for its entire life. But as a battery ages, and approaches failure, subtle variations start to appear.

Newtrax engineer Louis-Pierre Campeau saw the algorithm was picking up a change in the output. When he looked at it, and said, “Well, it’s 26.7 Volts, and it was 26.7 before so it’s okay.” But the algorithm was saying there was a problem.

“Then looking deeper, the average was 26.752, and afterward it was 26.716,” Campeau says. “It’s a very small change you just couldn’t pick up by looking at it.”

"This is the REAL power of machine learning. A single person isn't able to look at all the data... but an algorithm can..."

This is what he says is the real power of machine learning. A single person isn’t able to look at all the data for the different measurements given off by a fleet of vehicles. But an algorithm can, and it’s able to draw connections of things a person isn’t likely to even see as related.

“Sometimes there are too many factors put together that you can’t really look at as a whole,” Campeau says. “If one measure goes up while another goes down, at this average and the temperature is going down. There’s a certain limit of information you can process out simultaneously.”

"Newtrax has a large collection of anonymized data..."

What Newtrax brings is a focus on underground mining. You won’t be a client with a company that’s adapting their algorithms for the train yard to fit the underground environment. Newtrax has a large collection of anonymized data from our client base of underground mining companies. We’re able to draw on right from the start, Campeau says.

“Each mine is part of the large pool of clients we have, and can use all of these insights we get from our previous experience to apply it right away,” he says. “Rather than having to figure out everything from scratch.”

"You may not have seen your LHD's in every possible situation, but there's a good chance we have, and can pull patterns from it right when we start."

We’re able to draw on a large database collected from a number of different mines, that gives us a huge wealth of real-world data to train our algorithms. You may not have seen your LHD’s in every possible situation, but there’s a good chance we have, and can pull patterns from it right when we start.

We recommend reading ‘Live to learn – The Future of Mining Innovation’ by Mining Magazine to further explore the value of AI and Machine Learning.

For more information on Newtrax successes at Goldex, you can read this case study:

Newtrax Joins Sandvik Group in Strategic Acquisition

Newtrax Joins Sandvik Group in Strategic Acquisition

MontrealQuebec – June 17 2019 — Newtrax Technologies Inc. (‘Newtrax’) – the leading provider of safety and productivity systems for underground hard rock mines – has been acquired by Sandvik to be run as an independent business unit within the Rock Drills and Technologies division of the Sandvik Mining and Rock Technology business area.  

Newtrax is headquartered in Montreal, Canada, where the company generated revenues of approximately 26 million CAD with 120 employees in 2018 

The combined expertise of Sandvik and Newtrax will create the most powerful, streamlined digital solution to improve safety and efficiency for underground hard rock mines with: 

  • Newtrax’s leading technology in wireless IoT connectivity 
  • Sandvik’s leading suite of digital tools for analyzing and optimizing mining production and processes, including OptiMine® and My Sandvik. 

“By including Newtrax into the Sandvik family, we further strengthen our leading position in areas related to automation and digitalization,” says Henrik Ager, President of Sandvik Mining and Rock Technology. 

Founded in 2009, Newtrax started as a university project led by Alexandre Cervinka, Founder and CEO, with Co-Founder Vincent Kassis. In 2014, Newtrax received a major investment from Jolimont Global Mining System, an Australian private equity investor in high growth mining equipment, technology and services. 

Since acquiring the mining division of ISAAC Instruments in Q4 of 2016, Newtrax has reinforced its position as the world leader in vehicle telemetry systems for underground hard rock mines.  

Newtrax will operate as an independent business unit committed to having an open architecture and will continue to interface with other vendors in the mining digital ecosystem. 

“By joining Sandvik Group, we can now confidently say that we have the world’s leading digitalization solution for underground mining customers,” said Alexandre Cervinka, President of Newtrax. 

Newtrax is very happy to announce that sandvik intends to acquire Newtrax Technologies in Q2.

Newtrax Joins Sandvik in Strategic Acquisition to Offer Most Comprehensive Digital Solutions for Underground Mining

Newtrax Joins Sandvik in Strategic Acquisition to Offer Most Comprehensive Digital Solutions for Underground Mining

Newtrax is very happy to announce that sandvik intends to acquire Newtrax Technologies in Q2.

We are very excited to announce that Sandvik intends to acquire Newtrax , the global leading supplier of equipment and tools for the mining industry.

The combined expertise of Sandvik and Newtrax will create the most powerful, streamlined digital solution to improve safety and efficiency for underground hard rock mines with:

  • Newtrax’s leading technology in wireless IoT connectivity
  • Sandvik’s leading suite of digital tools for analyzing and optimizing mining production and processes including OptiMine® and My Sandvik.

“Together, Newtrax and Sandvik provide a seamless offering that is OEM and network independent,” said Alexandre Cervinka, President of Newtrax. “With Newtrax as the “nervous system” and Sandvik OptiMine® as the “brain” of the mine,” this is the most comprehensive digital offering for underground mining.

“With Newtrax joining us, we have a world-leading solution for our underground mining customers,” said Patrick Murphy, President of Sandvik Rock Drills & Technologies Division.

The combined offering of Newtrax and Sandvik OptiMine® will include:

  • Telemetry for all equipment brands
  • Personnel tracking and safety
  • Environmental monitoring and control

Newtrax will be joining Sandvik as a Standalone Business Unit (BU) within Sandvik Mining and Rock Technology’s Rock Drills & Technologies division and will continue to operate as it does today.

Newtrax will operate as an independent business unit that is committed to having an open architecture and will continue to interface with other vendors in the mining digital ecosystem.

The transaction is expected to close Q2 2019.

Improving Overall Equipment Effectiveness in Underground Mines with Newtrax

Improving Overall Equipment Effectiveness in Underground Mines with Newtrax

“Based on our benchmarking, we observe a global average overall equipment effectiveness (OEE) performance of 27 percent for underground mining, 39 percent for open-pit mining… compared with 92 percent for oil refining”

-McKinsey Global Institute 2016

The term “Overall Equipment Effectiveness (OEE)” draws its origin from the manufacturing industry, and its significance to the underground mining industry is easily transferable.

Measuring Overall Equipment Efficiency for underground mining equipment is becoming best practice in benchmarking progress, identifying losses, and improving the productivity of a fleet.

Most underground mines in the process of digitalizing their operation face similar challenges:

  •     Having a multi-OEM mix of mobile equipment; producing  unstandardized data
  •     The inability to collect real-time data from all the faces, including development faces
  •     Having data, but not knowing how to transform the information into actionable solutions

Newtrax has developed an array of OEE solutions to address these challenges.

The following highlight some of Newtrax OEE successes:

OEE Overall Equipment Effectiveness

Improved Hauling Efficiency: Case Study

A mining operation with a mixed fleet of mobile trucks, including CAT AD30s and Atlas MT436s, was looking for a solution to establish standardized payload monitoring systems.

Newtrax installed its Mobile Equipment Telemetry (MET) system, which interfaced with the original equipment manufacturer (OEM)’s existing sensor network. Newtrax also installed an availability switch, onboard payload scales, and an external/internal payload scoreboard. The payload information was retrofitted to display on the OEM’s load cells.

Four trucks were monitored closely for an eight week period with the approach to Measure, Manage, and Improve using the traditional OEE calculation.

OEE = Availability(A)% x Utilization(U)% x Haulage Efficiency(Q)%

After the eight week period of data collection and observation, it was reported that Availability Time (A) was 93% and the Utilization Time (U) was 52% of the mine’s standard production time calendar. Analysis of the equipment’s payload data over the same time period showed a Haulage Efficiency (Q) of 64% with 19.4 tons out of 30 tons capacity.

These passively measured data points showed the operations OEE being 31%.

Using the information collected, the haulage efficiency data point became a key area of focus in improving efficiencies within the workflow.

SOLUTION:

To improve truck effectiveness, Newtrax proposed an increase to the dumper bed wall height to accommodate extra buckets, as well as digital scoreboards on the trucks’ cab for LHD, and an alarm system on each truck to initiate an overloading situation warning.

Conclusion

  • You can’t improve what you can’t measure
  • Technology is available to overcome stumbling blocks, and enable the management of mixed equipment fleets, through the use of timely data from active areas
  • Offering actionable insight to both mine managers and operators will deliver significant value in a short period of time
  • Improved haulage efficiency will ensure UG mining effectiveness is increased above 27%
INDABA, Newtrax, Cape Town, Mining

Join Newtrax at the Mining INDABA in Cape Town February 4-7

Join Newtrax at the Mining INDABA in Cape Town February 4-7

INDABA, Newtrax, Cape Town, Mining

Newtrax is attending the 25th Anniversary Mining INDABA in Cape Town from Monday, February 4th to Thursday, February 7th, 2019.

With the world’s largest gathering of the most influential stakeholders in African mining, we are looking forward to talking about the future of digitalization with our peers. Newtrax’s Luke Clements (VP Africa) and Trent Jackson (APAC Sales Manager) will be in attendance and welcome the opportunity to meet with customers and prospects.

If you’re interested in how Newtrax can help in your mines digitalization, please contact lclements@newtrax.com to schedule a meeting.

Data collection mining

How Data Collection and AI Will Change The Future of Mine Safety and Profitability

How Data Collection and AI Will Change The Future of Mine Safety and Profitability

Data collection mining

1.  Safety in Mines

Data collection and analysis, especially with the availability of AI algorithms, makes it easier to foresee possible risks that can arise in underground mines, and prevent them.  Predictive maintenance would be the best example of this. According to the Occupational Safety and Health Administration, companies with a 9% reactive maintenance rate had a recordable incident rate of .1%, while those with a 64% reactive maintenance had a recordable incident rate of 4.3%.

These statistics highlight how having reliable equipment is safer.  Interpreting real-time data on your equipment and how they interact in the mining environment keeps everyone safer in the mine.  These algorithms are preparing today for the future needs of safety compliance in safety and prevention.

2.   Mining Productivity and Profitability

Productivity in mines is lower than in other industries, and working underground creates a gap of knowledge transfer between supervisors of different areas of the mine in real-time.  Decisions are made while there are still variables which are unknown. Data collection and analysis however, makes it possible to have a global view of situations for better decision making. There are serious cost savings when you can make important decisions with a full and clear picture in mind.

— Download the Slide Deck to Learn How Use AI on Mining Data To Create Value In Less Than 3 Months —

Download the AI Slide Deck To Learn More

This AI Slide Deck prepared by Newtrax VP of Artificial Intelligence, Michel Dubois, shows how to create value with data collected in underground mines using Artificial Intelligence algorithms.

3. Data collection for Mining

Mines have started digitalizing their fleets and collecting data.  This is where data contextualization comes in. Through the fleet and network agnostic systems at Newtrax for example, the data collected can be connected and contextualized.  Being able to have the full context of any piece of data will bring more possibilities and using trends and algorithms trained by multiple mines can help predict events in any given mine.

Mining will be much more calculated in the next 5 – 10 years, this means knowing exactly what is going on under the surface from to make the mine safer, more profitable and understanding how all of these elements interact with each other to have the most productive operation possible.

Newtrax Technology Enabled, IoT AI

How to Calculate ROI for IoT and AI Solutions in Underground Mining

How to Calculate ROI for IoT and AI Solutions in Underground Mining

Newtrax Technology Enabled, IoT AI

What value can a mine expect to receive from the costs associated with IoT and AI solutions? How does a company like Newtrax calculate this ROI prior to adding a thorough analysis of current data streams from the mine?

To help answer this question, we turn to Guy Gosselin, Subject Matter Expert (SME) at Newtrax to help describe his approach to ROI.

“You need to have a really good understanding of the mining process and how it functions underground. It’s important to fully understand the mine planning because everything is related.” says Gosselin.

Any company will see a return on investment all throughout their mine when digitizing their fleet and incorporating safety technology.  Some of the main areas that Newtrax can calculate tangible ROI are through:

1) Improved Processes

2) Improved Safety delivers production

3) Improved Maintenance Practices

Newtrax Technology Enabled, IoT, AI

Improving Processes Deliver large ROI

Gosselin provides a great example of an ROI calculation that was related to production drilling. ‘’We demonstrated that by getting just 10 more minutes of active drilling per shift per drill could increase net revenue by more than 1.2 million dollars a year” reflected Gosselin. These ten minutes can be easily added to each drill site by minimizing the need to access and leave the work site at the beginning and end of each shift, or by optimizing drill patterns which reduce the set up time.

Another example of ROI was calculated on the haulage process. By cutting off 60 seconds per trip for each truck (only 2 trucks were used in this calculation) there is also a potential savings of over 1 million dollars per year. An example of opportunity for cost-saving on-site is where an access loading point was cut at 90 degrees and each truck was taking 20-30 seconds on arrival and departure, wasting 1 minute per cycle per truck. Improving this represents a huge ROI over the span of a year. Many truck drivers may say their load appears full, but if there is an opportunity to improve that load with more weight within the truck’s full capacity, this will continue to add value to the investment.   

Improved Safety delivers production ROI

ROI from Newtrax proximity detection solutions, despite being a bit less obvious, can also be effectively established. The main priority of proximity detection is improving safety for both workers and equipment. This same system designed for improved safety adds production value in its inclusion of a right-of-way prioritization for ore loaded equipment.

By improving the number of loaded trips each truck makes throughout the day, in correlation with its optimized payload of ore, the ROI of Newtrax proximity detection systems can also be established.

Most importantly, by mitigating any downtime and improving safety standards with proximity detection solutions from Newtrax, costs associated with mine operations stoppage can also be lessened, leading to more efficient shifts.

Graph representing the monitoring of the Caterpillar AD45 engine condition
Graph representing the monitoring of the Caterpillar AD45 engine condition

ROI for improved maintenance Practices

IoT and AI solutions provide the most easily quantifiable ROI with countless cases demonstrating clear cost savings with preventative maintenance practices.

Louis-Pierre Campeau, Research Engineer in machine learning presented a case where Newtrax sensors detected a shift in a Caterpillar AD45 truck engine condition allowing us to notify the mine that something was wrong. They found a faulty bearing, probably from manufacturing which is hard to predict and could have gone without notice otherwise. Catching the issue in the engine ended up costing only a few hours of the mechanics time and $5,000 for the bearing instead of what could have represented over $100,000 for the engine as well as a far greater loss in production time.

Every mining operation is different, therefore calculating ROI needs to be determined case by case. Even two mines utilizing the same mining method would have different variables to calculate what their ROI would be.  A competitive strength of Newtrax is having a company filled with personnel from both product engineering and mine engineering, people like Guy who are very familiar with mining operations and know how to study the mine to find opportunities for improvement and relay those to the Newtrax product teams.

Guy Gosselin was able to estimate costs associated with a truck engine fail in the middle of a shift for a specific mine. It turns out that with conservative estimates, depending on where the equipment breaks, it can cost an average of 50 000$ dollars in production loss and as much as 82 000$ in the worst case scenario. A real case study performed by Guy showed a truck experiencing a major failure in the only access road of an underground unloading point. This resulted in all of the other trucks having to go to the surface to unload, which increased wasted time threefold (x3). The mine lost ⅔ of the planned production during the period of time needed to clear the access.  

When wondering what adding IoT and AI services to your mine’s digital roadmap will offer, consider the benefits of being able to track and maintain performance, keeping your mine safe and having the ability to anticipate and handle machine failures. The added value can extend to shift plan optimization and using the collected data for targeted strategies. Contact a Newtrax expert to find out how we can work with you to achieve your goals.  

Sandvik partner with Newtrax

Sandvik and Newtrax partner to provide the most comprehensive digital offerings for the underground metal mining industry

Sandvik and Newtrax partner to provide the most comprehensive digital offerings for the underground metal mining industry

Sandvik partner with Newtrax

Sandvik is proud to announce it has partnered with Newtrax, the global leader in wireless IoT for the underground metal mining industry, to deliver world-class mining safety, efficiency, and productivity to underground metal mines through digitalization.

Sandvik’s OEM-independent OptiMine® digital platform will seamlessly integrate with Newtrax’s system of wireless IoT to provide all relevant data into one source, delivering both real-time and predictive insights to improve operations.

“We are eager to see our partnership with Sandvik OptiMine® help our customers more rapidly and effectively realize their crucial mine digitization objectives. Sandvik shares our core values, and this partnership ultimately will deliver more value to our joint customers faster, and at a lower cost,” said Alexandre Cervinka, CEO of Newtrax.

“Together, I truly believe we truly have the best solution for our customers. With Sandvik OptiMine® software as the ‘brain,’ and the Newtrax IoT system as the ‘nervous system’ monitoring machines, people, and the environment, our customers will have all they need to leverage the power of machine learning, and more effectively realize the value of their digital investments,” said Patrick Murphy, President, Rock Drills & Technologies, Sandvik Mining and Rock Technology.

The integrated system will be deployed at select mines and showcased in the SANDVIK test mine in Tampere, Finland in early 2019. Hindustan Zinc’s Sindesar Khurd (SK) is the first mine to implement integrated Newtrax and OptiMine® solutions to drive their digital transformation.

Tampere, 27 November 2018

For more information contact:

Patrick Murphy, President, Rock Drills and Technologies, Sandvik Mining and Rock Technology, tel: +358406765007, e-mail: patrick.murphy@sandvik.com

or Conny Rask, Corporate Communications Manager, Sandvik Mining and Rock Technology

+46 8 456 1368 conny.rask@sandvik.com

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Sandvik Group

Sandvik is a high-tech and global engineering group offering products and services that enhance customer productivity, profitability and safety. We hold world-leading positions in selected areas – tools and tooling systems for metal cutting; equipment and tools, service and technical solutions for the mining and construction industries; products in advanced stainless steels and special alloys as well as products for industrial heating. In 2017, the Group had approximately 43,000 employees and sales of 91 billion SEK in more than 150 countries within continuing operations.

Sandvik Mining and Rock Technology

Sandvik Mining and Rock Technology is a business area within the Sandvik Group and a global leading supplier of equipment and tools, service and technical solutions for the mining and construction industries. Application areas include rock drilling, rock cutting, crushing and screening, loading and hauling, tunneling, quarrying and breaking and demolition. In 2017, sales were approximately 37 billion SEK with about 15,000 employees in continuing operations.

Newtrax Technologies Inc.

Newtrax Technologies Inc. is the global leader in wireless IoT, safety, and productivity solutions for the global underground hard rock mining industry. Newtrax customers are the largest producers of metals in the world and their underground hard rock mechanized mines rely on Newtrax systems to save lives, reduce costs and increase production with unprecedented levels of real-time data from machines, people and the environment.

[Video] Newtrax Helps Casa Berardi Mine Exceed Production Objectives by 4% in 2018

VIDEO: Newtrax Helps Casa Berardi Mine Exceed Production Objectives by 4% in 2018

Hecla Casa Berardi, an underground gold mine in western Quebec, has engaged Newtrax to integrate its OEM-agnostic mobile equipment telemetry system (MET), delivering some major results through the data.

The gold mine has focused its digital transformation on a few key areas, including autonomous vehicles and mobile equipment telemetry, to better manage machine downtime and operator abuse. Some key improvements to the mine include:

1) Increased operating times

2) Reduced maintenance costs

Increased operating times

Since implementing the Newtrax MET system, the Casa Berardi mine has been able to quantify an increase of an hour per day of operations, meaning as much as 30 minutes per shift.  Prior to their telemetry project with Newtrax which started in 2017, they would have to wait days before addressing intermittent equipment issues.  With real-time equipment diagnostics, the technicians in the control room can connect directly to the computer of the machine and can complete an immediate diagnosis by comparing it to other machines in operation.

Reduced maintenance costs

“One of the types of data we were looking at was transmission abuse, and we started seeing that some operators did not know why they were causing these alarms,” said Sonny Melancon, Control Room Operator at Hecla Casa Berardi, “The operators were trained and the change in practices have resulted in hardly having any transmission abuse at all. There has been a decrease of 50%.” After 9 months the mine is saving 7.8% in maintenance costs per ton of material hauled.

Mobile Equipment Telemetry is just one aspect of what can be a full and complete digital integration. Contact us to find out how we can work with your KPIs to plan your custom integration.