Connected fleets and the smart mine
In a data-rich industry, IoT sensors are the logical next step for mining truck fleet management, says Jamie Milne at World Wide Technology.
Big Data projects take place at the intersection of business, science and technology. For miners, who have long weathered tough environments in both business and nature, staying abreast of the latest connected technology can often provide the key to greater efficiency and better margins.
Miners have been collecting data and looking for an edge since the moment the sector became industrialised. However, identifying new opportunities can present a challenge, especially when trying to re-imagine facets of the mine operation that have not been overhauled in a long time.
When trying to deploy new technologies, outcomes must be at the forefront of any project manager’s list of priorities. When implementing a Big Data project, the primary source of value comes from the distillation of vast quantities of data into previously unknowable intelligence, so it is extremely important to know how each element, from hardware deployment to data analysis to business outcome, forms part of a larger whole.
Avoiding unscheduled downtime plays a major role in the smooth running of a mine truck fleet. A broken-down truck on a well-used road can cause massive headaches, as operations are forced to a halt. Fortunately, it has been possible to make progress in our ability to keep trucks on the road via the deployment of connected sensors and complementary Big Data analytics.
Engines, transmission, torque converters and differentials are all examples of haul truck components that can be linked to a data logger via a sensor array. It is true that trucks have been running for decades without this kind of technology, without collecting all of these forms of data. However, in neglecting these potentially insightful data points, it is not possible to obtain the clearest picture of what is happening to crucial equipment.
In order to enact change within a maintenance regime it is essential to gather a cache of data which can be projected into the future. A cache of recent data gathered from the quotidian activity of a mine truck can be used to forecast potential points of failure in the near-future. Oil changes, part changes and other maintenance actions can be carried out before a costly breakdown takes place. Broader insights, from the efficiency of specific truck models to how changes in operations effect model performance, are available through deeper analysis of gathered data.
Turning other data into action and ensuring an outcome
Beyond the maintenance of individual units, there is the potential to gain fleet-wide insights related to haul cycles as GPS data is captured. For example, problems with site roads, reported via sensors attached to the haul trucks, can be identified and swiftly dealt with before delays are caused.
Truck operators too can benefit from insights related to the most efficient paths through a site and the correct gear choice in any given location. Readings from these sensors are fed back and interpreted by data scientists who can advise crews on more efficient operational practices.
It really is a case of untapped opportunities at the moment in the mining world, as data is both plentiful and applicable to range of business-critical processes.
The problem that miners often face is that bringing projects from inception to business outcome is a path laden with obstacles. The infrastructure that is needed to process various disparate data flows is rarely present in a conventional mining setting.
Therefore, it is essential to understand what will be required to move each step of the project towards the goal of achieving quantifiable business outcomes. Technology partners who can offer testing and compute services alongside the large-scale deployment of connected technologies greatly multiply the odds of success.
Axora: driving safety, sustainability and efficiency
“Axora was conceived to bring collaboration and industrial digital innovation to the next level,” pledges CEO Ritz Steytler. “We spoke with the heads of innovation and the operations leaders of oil & gas and metals & mining organisations. We understand the intense pressure they face to modernise their operations. We’re focused on offering solutions to support mining companies with the three biggest challenges they face: safety, sustainability and efficiency."
Safety, Sustainability & Efficiency
"We can help with everything from discovering the right solutions to solve specific problems, to evaluating physical innovation and then supporting the end to end process for actually getting that technology to deliver business value," continues Steytler. That’s realised through our support of the procurement cycle and helping companies with the deployment and maintenance of their chosen solutions to ensure they continue to deliver value where it’s needed most.”
Axora hosts over 150 innovative solutions from sector leaders to start-ups, universities, and consultancies. Examples include machine vision technology that identifies mineral ore contaminants three times faster than the human eye, and predictive modelling for oil rigs which uses built-in sensors and AI to maximise production. Axora's proven digital solutions help to reduce wasted investment, avoid duplication and accelerate business growth.
The World Economic Forum estimates digitalisation can create value to the tune of $400bn across the coming decade. However, the emergence of ‘digital mines’ isn’t just about the numbers. Digitalisation can transform mining into a far more sustainable enterprise by mitigating some of the big risks the industry faces. A digital mine can optimise operations, unleashing the power of data to understand and implement changes in the business.
With the right solutions it’s possible to effect radical changes in a process that is understood better. Solutions that have been road-tested across the oil and gas industry can deliver real benefits for mining companies, including early adopters like Glencore, explains Axora’s Mining Innovation Director Joe Carr: “Opex Group are using Machine Learning with an AI algorithm to pull in all the available sensor data to monitor a processing plant. Its solutions analyse output and look across all the pumps and motors to offer exact data on where to tweak them down. It’s cloud-based and can monitor, reduce and control operational emissions, optimise energy use and minimise environmental impact. It’s currently being used in the oil and gas industry and it's been shown to save up to 10% of power, but the driver of it was actually Co2.
“If you're running an oil platform, your power is essentially free because you're pumping it out of the ground. But in a mine the biggest power user, outside of the trucks and shovels, is the process plant. It uses around 21 kilowatt hours per tonne of processing power to run, right? Obviously, that's dependent on the plant, but it's a power-hungry situation. Diesel is not cheap, especially in remote locations. Being able to save five to 10% of your power usage for no issue in terms of production could be a big win for mining.”
Carr highlights there is also the real opportunity to significantly reduce Scope 1, Scope 2 and even into Scope 3 emissions where Opex Group’s solutions could be used in a smelter to go for the “low hanging fruit” and cut Co2 emissions. “It's a win-win all around, and yet it's a technology which the mining industry doesn't use today, but it exists in a parallel industry.”
To further reduce emissions, Axora is offering solutions which are involved in the scheduling and optimisation of haul truck fleets. “If your fleet is idling for even 10 minutes a cycle, that is wasted fuel,” notes Carr. “It just goes into the atmosphere. And very rarely do the drivers turn the trucks off because they don't want to be stopping and starting those big engines. The mine may be in an extreme climate so even something as basic as saving idling can contribute towards a company’s net zero targets.” The Axora platform also features a system to manage shipping and logistics. “Are you moving your material in the most effective way in terms of routing for fuel usage and speed?” asks Carr.
“Being able to program those variables in terms of Co2 tonnage produced offers new capabilities. We’re able to help our customers understand what they want to achieve. Scope 1 emissions might be the easiest to impact with the haul fleet. Scope 2 focuses on the processing plant and the downstream movement. Understanding what a mining company’s customers are using its materials for makes Scope 3 more difficult to impact – for iron ore it would be a steel melt…”
To that end, Axora offers a predictive maintenance system for aluminum smelting which Carr notes can reduce downtime by up to 20%. “Aluminum smelting tends to come from hydro which can be very clean – it’s energy intensive,” he explains. “But the same system could easily be applied to steel or copper processes where you don't want to be turning them on and off. You don't want to be running your autoclave in a gold mine with a varying sulfide input because the heat goes up and down and it messes with your recovery and you're using a lot more power to heat and cool your autoclave.”
The Axora Platform
“Challenge us and we will find it for you,” asserts Steytler when explaining how he envisages the Axora platform developing. “We aim to match a technology provider to a particular business buyer, somebody that has a real problem that needs to get solved. They can then collaborate to deploy that technology successfully.” Steytler is positioning Axora beyond the sales and procurement process. “There’s no such thing as on time and on budget with a digital transformation effort, right? It’s a difficult thing to achieve, we’re not talking about shrink-wrapped software. That’s why partnerships are extremely important and we can help facilitate those to deliver the value required.”
Reacting to Trends
Against the backdrop of record years for many mining companies – with copper and gold production and prices on the rise – what trends are the team at Axora seeing across the industry that will necessitate a response from its multi-solution platform? “Despite the uncertainties of the global pandemic, mining companies have taken a practical approach,” notes Carr. “What we’ve seen during the pandemic is that miners have realised they need to embrace the digitisation journey. The past year has proved to be a gateway with younger guys coming through the system ready for change.”
Carr highlights that with Covid, engineers couldn’t simply fly to West Africa or Chile so the door to digitsation opened. Where has he seen the biggest push? “How do we get the data we want and then what do we do with it?” he counters. “Miners have so much data that it's in Excel sheets, and it's got macros, and it's historically stored on a server somewhere that nobody's looked at for five years since it was sent out. Our clients' demands today are more around how do we do something with that data? Because we know the benefits are there. The sensor data around predictive maintenance and all these things exist, but they're having such a struggle to deal with it and deliver meaningful insights.”
However, Carr concedes it's a cyclical business. “If it comes down to buying another truck or buying a data server, what's going to get more tonnes out of the ground? But with the right data we can see what will actually benefit operations in the long term… That push towards digital has seen what we thought would take the next five years actually happen in one year because remote capabilities and enhancement to operations centres have advanced to meet demand. At Axora, we’re seeing mining companies assess solutions to improve health and safety on their sites by reducing members of the workforce exposed to risk and in harm’s way and keen to discover how they can drive efficiencies to make more tonnes for less. Ultimately, it’s part of our job to make it simple in terms of a value calculation.”
“Axora is here to accelerate digital transformation in the mining industry,” asserts Steytler. “We can simplify that process. And with investment in that transformation expected to reach $6.8trn between 2020 and 2023 as the world economy digitizes, there’s never been a better time to realise the benefits.”