Tag Archives: Motion Metrics

SentianAI

Weir expands digital capability with acquisition of AI-focused SentianAI

Automation, Comminution of minerals, IoT, Mineral processing, Mining mergers and acquisitions, Mining software, Sustainable mining, , , , ,

Weir has acquired Sweden-based SentianAI in a move that, it says, will accelerate its technology roadmap and expand its digital capability to provide enhanced productivity and sustainability offerings to customers. SentianAI is a developer of artificial intelligence-based solutions that optimise performance in minerals processing. Founded in 2016, it is based in Malmö and has a team of software developers and data scientists.

The software that SentianAI develops uses advanced AI algorithms that continuously learn and adapt to the dynamic processes within a mine, providing continuous improvement and optimisation over time, Weir says. Jon Stanton, CEO of The Weir Group, said: “Digital technology has an important role in helping address the challenges of declining ore grades, production efficiency and CO2 emissions for our customers. SentianAI’s advanced software solutions complement and will bridge our Synertrex® and Motion Metrics™ technologies well. Together, these will enable us to provide holistic performance monitoring and optimisation for smart, efficient and sustainable mining.”

Earlier this year, SentianAI and Xore Analyzers formed a strategic cooperation to combine XORE’s XRF analysers, which provide real-time data on metal content, with SentianAI’s machine-learning technology, which adapts to variations in ore properties. The pact, SentianAI says, could allow mining operations to improve their recovery rates and overall efficiency.

IM interviewed SentianAI Founder and CEO Martin Rugfelt last year on its technology and approach. He said it already had a flotation project targeting increase of recovery rate but also the stabilisation of the circuit performance. It was also working on optimising a crushing and grinding circuit with the primary goal of an increase in throughput.

Martin Rugfelt, SentianAI Founder and CEO

When asked how its approach differed to other AI approaches in industry he commented: “A lot of the ‘traditional’ AI systems we see are actually AI toolkits/platforms that are sold on the basis that the customer can create AI logic that they need to solve specific problems without having to understand the detailed data science. Unfortunately, without knowledge of the underlying AI and data science, creating AI for complex systems eg control processes is very difficult. As a result, many ‘traditional’ AI systems are abandoned after purchase. Sentian has taken a different approach. Our SentianController is explicitly designed to optimise control of industrial processes, so when customers buy it, they already have the AI algorithms developed and tested for the complexity of control system optimisation. It is effectively a point solution that means you do not need a large data science team to build and run the AI solution.”

He added on the underlying technology: “SentianAI has worked for many years to select the best algorithms and refine how these algorithms work to deliver a unique AI system that has been designed to control and optimise industrial processes. This is very complex and requires some of the latest technologies in AI to be able to achieve the necessary control. We have also developed a system that can uniquely be applied in stages as data quality improves and operator confidence increases – going from making recommendations to fully autonomous control at the speed our customers want. This allows customers to build confidence before committing to fully autonomous control. We have chosen not to patent our solution as it would have exposed the technology, however, we would argue it is very unique.”

He said the system is also capable of self-adaptation, which can be achieved when you have both the right data and the right AI models. “The AI creates a dynamics model that is made from both historical and ‘live’ operational data. It can then choose the set of control parameters that deliver optimum performance towards a specific goal, eg maximum production for minimum energy usage. In comparison to traditional supervisory control systems it adapts to changes in the process. For example, if the process changes for some reason, leading to new data points, the AI incorporates these into its model, new predictions are made, and new control parameter settings are used. New goals can also be set, resulting in SentianController choosing the best control parameters to achieve those goals.”

Weir Group marks Minerals and ESCO progress in H1 results

Base metals, Comminution of minerals, Equipment maintenance, IoT, Mining equipment, Mining finance, Mining services, Mining software, Steel and iron ore, Sustainable mining, Water management, , , , , , , , , , , , , , , , , , ,

The Weir Group has issued its half-year results to June 30, 2023, noting some significant achievements across its Minerals and ESCO divisions.

Headline numbers for the six-month period included a 19% year-on-year jump in revenues to £1.3 billion ($1.67 billion) and a 26% rise in operating profit to £212 million.

Weir Minerals continued to execute on key strategic growth initiatives, and during the first half gained market share in its core mill circuit product categories, it said.

The company said: “We converted 100% of our competitive field trials for large mill circuit pumps, and also rolled-out our latest cyclone technology.”

One highlight in the period came at a large Brazilian iron ore mine, where Weir Minerals upgraded the cyclones to its latest Cavex® 2.0 solution. The new cyclones, which are Synertrex®-enabled, have improved separation and increased mineral recovery by more than 400,000 t/y, according to the company.

Cavex 2 cyclones were launched in 2020, introducing new geometric features to offer performance unmatched by any cyclone in operation at that point, the company claimed. The advanced LIG+ design (patent pending) enables the Cavex 2 hydrocyclones to classify up to 30% more feed slurry, while occupying the same footprint as competitor hydrocyclones, according to Weir.

Weir Minerals says it also made good strategic progress in sustainable solutions during the six-month period and delivered year-on-year growth in comminution. New orders included a pebble crushing plant for a large copper mine in South America and a crushing solution for a potash mine in Canada.

The company also said it saw “very encouraging interest” from customers for its Redefined Mill Circuit, securing orders from large copper mines in South America for coarse particle flotation (CPF) pilot circuits, in partnership with Eriez.

“Through this strategic alliance, we have integrated CPF technology with our latest generation Warman® mill circuit pumps and Cavex cyclones to provide significantly improved recoveries and process efficiencies for our customers,” it said. “Once operational in the September quarter, these plants will be important reference sites for the industry.”

Around a year ago, Weir Minerals and Eriez Flotation announced a cooperative agreement to design and develop CPF systems. This allows both companies to better connect the Eriez equipment with the slurry classification and conveying expertise of Weir Minerals, according to Ricardo Garib, Division President of Weir Minerals.

Weir Minerals also launched its new, proprietary digital intelli-solutions for pumps, cyclones and high pressure grinding rolls which, coupled with its Synertrex 2.0 platform, captures critical machine health data and enables remote condition monitoring.

It concluded: “We continued to invest in research and development of our core technologies including new materials and polymers, and upgrades and range expansions for our industry leading Warman slurry pumps.”

Weir ESCO, meanwhile, reported that the number of mines using Motion Metrics™ AI-enabled vision technology increased during the first six months of the year, with new orders including a package of five ShovelMetrics™ and five LoaderMetrics™ systems to be deployed across all large mining machines at an iron ore mine in Western Australia.

“The division made excellent progress in growing market share in mining attachments, with a 37% year-on-year increase in orders,” it said. “A particular highlight included converting four cable shovel buckets from competitor products to ESCO technology for a large North American copper miner.”

The division also provided an update on trials of its proprietary ore characterisation technology, which has been leveraging the BeltMetrics™ solution from Motion Metrics positioned above a conveyor directly after the crusher in the flowsheet at an unnamed mine. As well as using the rugged vision technology Motion Metrics has previously used, the company is also incorporating hyperspectral imaging into the mix for this trial.

It reported: “Field trials of our proprietary ore characterisation technology were successfully completed during the first half. Tests enabled critical data to be collected and validated the performance of the technology in a real-world environment.”

Development has now progressed to the next phase focused on exploring “novel illumination” technologies to enhance minerals characterisation, it added.

New Motion Metrics capabilities and functions were launched during the six-month period, including an upgraded lens cleaning solution that enhances machine vision capability and improves response times.

“Other technology investments included development of a new series of mining attachments that, once launched, will expand our addressable market,” it said.

Brownfield expansions and sustainable mining projects boost Weir Group Q1 orders

Base metals, Comminution of minerals, Environmental, Mining equipment, Mining finance, Mining services, Sustainable mining, Water management, , , , , , , , ,

Weir Group continued to benefit from relatively high commodity prices, tightness in physical inventories of metals and minerals, and strong end market demand for commodities in the March quarter, registering a 22% boost in original equipment order growth in the three-month period.

The company said brownfield activity and sustainability projects were behind this leap in orders.

“Customers are ordering Weir solutions to debottleneck, expand and improve the sustainability of existing mines, while also increasingly engaging on new sustainability driven technologies, such as our redefined mill circuit and the Motion Metrics digital offering,” the company said in its results.

Weir Group’s “redefined mill circuit” encompasses Weir Minerals’ Enduron® high pressure grinding rolls, along with the additions of technologies from Eriez and Swiss Tower Mills (STM) Minerals, which are part of specific partnerships. These solutions are enabling it to redefine the mining mill circuit so customers can use less energy, use water wisely and create less waste during minerals processing, it says.

Weir Minerals recently announced the completion of the STM Minerals AG vertical stirred mill commissioning at the Weir Technology Hub in the Netherland. Regarding Eriez, the combination of pumps, cyclones, classification equipment, and other mill circuit products supplied by Weir Minerals, along with Eriez’s HydroFloat, StackCell®, columns and sparging systems, allows owners to take advantage of well-matched equipment designed and tested as a system, Weir says. This makes Weir a natural fit for contributing to Coarse Particle Flotation flowsheets, it added.

In terms of the Weir’s outlook, it said in its March quarter results: “The business is executing well and conditions in our mining markets are positive. High levels of activity and demand for our aftermarket spares and brownfield original equipment solutions are driving order book growth. Our guidance for 2023 is reiterated and we expect to deliver growth in constant currency revenue, profit and operating margin. We are on track to deliver our target of 17% operating margin in 2023, supported by operational efficiencies and early benefits from Performance Excellence.

“Further out, the long-term fundamentals for mining and our business are highly attractive, underpinned by decarbonisation, GDP growth and the transition to sustainable mining. We have a clear strategy to grow ahead of our markets, with specific growth initiatives underpinning our ambition to deliver through-cycle mid-to-high single digit percentage revenue growth.”

MotionMetrics-BeltMetrics

Weir eyes game-changing energy intensity reductions with ore characterisation project

Base metals, Comminution of minerals, Environmental, IoT, Mineral processing, Mining equipment, Mining software, Sustainable mining, , , , , , , , , , , , , , , , , , ,

With an extensive footprint from the rock face all the way through to tailings, it was only a matter of time before the Weir Group decided to enter the ore sorting game.

In recent years, the company has re-focused as a pureplay mining and aggregates company that can provide value throughout the flowsheet.

The company ditched its oil & gas exposure and added to its process plant and tailings remit with the acquisition of ESCO, a front-end-focused mining technology company with leading market share in the ground engaging tool (GET) segment.

Having more recently incorporated Motion Metrics into the mix – now within the ESCO division – it is embarking on a project that could have positive ramifications throughout the wider Weir Group offering.

Motion Metrics is a developer of artificial intelligence (AI) and 3D rugged machine vision technology. Its smart, rugged cameras monitor and provide data on equipment performance, faults, payloads and rock fragmentation (read: particle size distribution (PSD)). This data is then analysed using embedded and cloud-based AI to provide real-time feedback to the mining operation.

Initially developed for GET applications, these technologies have recently been extended into a suite of products and solutions that can be applied from drill and blast through to primary processing. Motion Metrics has, in the process, built up an impressive customer base and income stream, performing well since the acquisition.

Weir has outlined a £500 million-plus ($604 million-plus) emerging digital market opportunity for the entity, with much of this hinged on rugged machine vision technology, its sophisticated digital platform and the ability to add ore sensing to its offering.

This became clear at the company’s recent Capital Markets Day during a presentation from Chris Carpenter, VP of Technology for Weir ESCO.

Sensing, not sorting

At this event, Carpenter said the company was combining Motion Metrics’ PSD capability with ore characterisation technology to explore high-value opportunities for its clients.

“Looking further out, we believe ore characterisation…has the potential to transform mining by moving less rock, using less energy and creating less waste,” he said during his presentation. “Ore characterisation technology, which is underpinned by sophisticated sensing systems, captures critical data on properties and composition of rock, including rock hardness and mineral and moisture content.”

“When coupled with Motion Metrics fragmentation analysis technology, it has the potential to be a game changer, giving miners a full picture of the size and characteristics of rocks.”

Weir has outlined a £500 million-plus emerging digital market opportunity for Motion Metrics, with much of this hinged on rugged machine vision technology, its sophisticated digital platform and the ability to add ore sensing to its offering

This concept is not new. Measuring the quality of ore has been spoken of for decades and, more recently, has become a reality with the likes of MineSense, NextOre, IMA Engineering, Scantech, Malvern Panalytical and Rados International, among others, all having trialled technology or deployed commercial solutions across multiple commodities and sites.

Metso Outotec, one of Weir Minerals’ big competitors in the plant and tailings arena, has also spoken of the potential for bulk ore sorting by using its existing portfolio of material handling modules, crushing stations, mobile crushing equipment and bulk material handling solutions as the basis, while incorporating sensors from other vendors.

Weir believes it is one step ahead of its OEM counterpart in its pursuit of ore sorting, even if Carpenter is only referring to the trials currently being conducted at an unnamed copper mine as “ore characterisation” studies.

“With the acquisition of Motion Metrics, what we essentially bought was the ruggedised vision systems used in both mobile and fixed applications,” he told IM in January. “While the ore sensing piece is by no means trivial, the integrated AI capabilities and digital infrastructure that allows the data to be transported via a variety of avenues is incredibly important.

“Being able to pick up the data is one thing but being able to transport that data to the right people in a secure, accurate and timely manner is something different altogether.”

With a portfolio that includes LoaderMetrics™, BeltMetrics™, TruckMetrics™ and CrusherMetrics™, Motion Metrics and the Weir ESCO R&D team had several potential applications to start its ore characterisation journey with.

The company has settled on a BeltMetrics installation for its first trial, with Carpenter confirming the sensing solution under the microscope is currently positioned above a conveyor that is directly after the crusher in the flowsheet.

“We feel we will learn quickest over a conveyor belt, so it is really an expansion of the existing BeltMetrics solution that we will start with,” he said.

The sensing options open to Motion Metrics for this trial were also vast, with the aforementioned ore sorting vendors using the likes of X-ray Fluorescence, magnetic resonance, prompt gamma neutron activation analysis, pulsed fast thermal neutron activation, and others within their solutions.

Motion Metrics has chosen to incorporate hyperspectral imaging into its PSD mix.

Carpenter explained: “When you think about ore characterisation, we are just moving from a visual spectrum base with Motion Metrics vision-based systems to the expanded light spectrum for gathering data and making decisions. This is all being built on the established digital platform the company has.”

The company is not alone in using this type of technology. MineSense has spoken of trials using multispectral sensing technologies, while Australia-based Plotlogic has been tapping hyperspectral imaging to provide precision orebody knowledge prior to mining.

Collaborating on energy intensity reductions

Safety, scalability and flexibility were three factors taken into account with the hyperspectral imaging decision, but Carpenter was also aware of the potential limitations in using such technology.

Mines will need to be willing to make some changes and invest in alternative infrastructure to leverage the most value out of the solution the company is putting forward.

“That is where productivity partnerships that we spoke about on the Capital Markets Day are going to be really important,” he said. “It is going to be essential to collaborate with customers.”

The initial collaboration with the trial mine site looks to be extensive, stretching from the back end of December throughout 2023.

The site is already equipped with a significant amount of Weir Minerals and ESCO equipment, so the collaboration appears to have started well before this trial.

“Throughout the year, we will have the opportunity to make enhancements; starting out with an initial system that is upgraded,” Carpenter said. “By the end of the year, we should have high confidence of having something ready to commercialise. It could also be that we have other trials running concurrently with this one to extend the learnings.”

The two primary key performance indicators for the trial surround accuracy and speed, with Carpenter saying the company is targeting to at least meet the metrics competing technologies have been promoting over recent years.

“In both cases, we are well equipped to measure both and – in the initial phase – we are performing well,” Carpenter said.

“Right now, when they (the mine site) carry out an assay, they have to stop the conveyor belt, take a sample off and send it to a lab. At best, the feedback takes hours, if not days. Motion Metrics has done a really good job of building the sensors, algorithms and platforms to process the data coming from above that belt very quickly.”

There are a team of very experienced, PhD-equipped personnel currently working on this trial, monitoring the real-time results from Motion Metrics’ base in Vancouver, however there is a Weir network across the globe watching and waiting for news.

A sensor above a conveyor belt able to provide ore characterisation data is step one. Step two will most likely involve leveraging this data to provide insights as well as initiate downstream actions.

Then, there is the potential to equip these sensors for the pit on an excavator or wheel loader – which introduces many additional challenges both Motion Metrics and ESCO are aware of. Understanding exactly what is in the bank or going in the bucket will be critical to improving operational efficiencies.

These are longer-term goals that Motion Metrics, ESCO, Weir Minerals and Carpenter are cognisant of – and excited about – that may provide the true value to customers throughout the flowsheet.

“What is exciting for us is that – as may be obvious – the further upstream you can make some good decisions, the more energy you can save downstream,” he said. “As you get into some of the other processing elements in the plant, there are sustainability benefits to be had – a more efficient use of reagents to liberate the elements, a more efficient grinding setup based on ore characteristics, a reduction in water use, etc.

“The driver for this has really been sustainability and energy reduction. It is all about reducing the energy intensity associated with ore.

“We feel we are well equipped and in a good position to deliver on this and provide the industry with the step change in sustainability that it requires.”

Weir preparing to trial proprietary ore sorting tech by the end of 2022

Automation, Comminution of minerals, Explosives and blasting, IoT, Mineral processing, Mining equipment, Mining services, Mining software, Sustainable mining, Water management, , , , , , , , , , , , , ,

In the Weir Group Capital Markets Event presentation last week, Chris Carpenter revealed that the company was collaborating within its divisions on trials of ore sorting technology in an effort to move less rock at mine sites and optimise processing within the plant.

Carpenter, Vice President of Technology at Weir ESCO, said the company was combining Motion Metrics’ particle size distribution (PSD) capability with ore characterisation technology to explore “in-pit sorting” opportunities for its clients.

“Looking further out, we believe ore characterisation and in-pit ore sorting has the potential to transform mining by moving less rock, using less energy and creating less waste,” he said during his presentation. “Ore characterisation technology, which is underpinned by sophisticated sensing systems, captures critical data on properties and composition of rock, including rock hardness and mineral and moisture content.

“When coupled with Motion Metrics fragmentation analysis technology, it has the potential to be a game changer, giving miners a full picture of the size and characteristics of rocks.”

Motion Metrics, a developer of artificial intelligence (AI) and 3D rugged machine vision technology, was acquired by Weir almost a year ago, with the business incorporated into the Weir ESCO division. Its smart, rugged cameras monitor and provide data on equipment performance, faults, payloads and rock fragmentation. This data is then analysed using embedded and cloud-based AI to provide real-time feedback to the mining operation.

These technologies were initially developed for ground engaging tool applications but have recently been extended into a suite of products and solutions that can be applied from drill and blast through to primary processing.

Carpenter said the added PSD capability from Motion Metrics was expanding the company’s value presence across the mine to the processing plant, where Weir Minerals operates.

“Results from early adoption of Motion Metrics PSD solutions have been extremely encouraging,” he said. “Feedback from customers is positive; data sharing and collaboration have increased.

“Given this early progress, we are really excited about the opportunity and expect fragmentation analysis to be a key growth driver for Motion Metrics in the years to come.”

On the in-pit sorting potential, Carpenter said Weir ESCO had laboratory-validated equipment and field trials of its proprietary solution that were due to start at customer sites before the end of the year tied to these developments.

“If successful, this technology opens the door to in-pit sorting, where miners complete the first stage of crushing in the pit and analyse the outputs to make real-time decisions about which rocks have sufficient mineral content to be moved,” he said. “This is a step change from the current process, where energy is expended in transporting and processing all of the rocks, regardless of mineral content, and with significant waste generated from zero- and low-grade material.”

He concluded: “Our vision is to move less rock, moving only the rocks with sufficient mineral content and using the data that is captured on size and hardness to optimise processing. The natural evolution thereafter will be towards real-time automation control of processing equipment, ensuring the right rocks are processed in the most efficient way, using less energy and creating less waste.”

TruckMetrics and the true costs of lost crusher production

Comminution of minerals, IoT, Mineral processing, Mining equipment, Mining services, Mining software, , , , , , , ,

The importance of optimising blast parameters to reduce the cost of comminution and cut back on energy use is often stressed across the industry, but effective blasting can also reduce the likelihood of crusher obstructions, Motion Metrics says.

Most unplanned plant downtime is crusher-related and primarily due to blockages caused by oversized feed. These events can cause mines to incur significant financial losses due to unplanned downtime, a decrease in throughput, or an increase in energy use, according to the company.

When boulders are larger than the opening of the primary jaw crusher, they can build up in – and eventually block or obstruct – the crusher. In this case, production must be temporarily stopped to break down or remove the boulder. But even boulders small enough to be processed by the primary jaw crusher can cause problems as breaking down large rocks requires a great deal of energy and can result in power spikes, slower production rates, and wear and tear of the crusher liner, Motion Metrics says.

Even brief crusher delays can have massive effects over time.

“For example, one of our customers is a large copper mine in Kazakhstan that experienced average crusher delays of approximately seven minutes per incident,” the company said. “Although these delays were short, they add up to an estimated total cost of $650,000 in lost production each year.”

Another Motion Metrics customer, a Peruvian mine that is one of the largest copper producers in the world, experiences an average loss of $5.73 million/y, Motion Metrics says, while, at an iron ore mine in Brazil, production interruptions cost roughly $3.65 million/y.

“Mines have traditionally taken a reactive approach to mitigating the problems associated with oversized material,” Motion Metrics says. “A boulder obstruction is typically identified by monitoring trends in crusher throughput – a falling trend indicates that material is not able to pass through the crusher. At this point, the blockage or obstruction has already occurred. Mine personnel must halt production to dig out the boulders, or use rock breakers to clear the obstruction, creating a bottleneck and further decreasing production.”

Motion Metrics says a common misconception is that a grizzly can eliminate the problem of oversized material.

“It is true that, with a grizzly in place, boulders are less likely to enter the primary crusher, however, a grizzly is still susceptible to blockages – mine personnel need to remove oversized material or schedule rock breaking,” it explained.

The best way to manage oversized material is to avoid the situation entirely but, failing that, mines should aim to mitigate problems caused by boulders as early in the process as possible.

Motion Metrics developed TruckMetrics to prevent oversized material from reaching the processing plant in the first place.

Mounted on a gantry above the mine road, TruckMetrics monitors each passing haul truck to detect boulders and analyse particle size in real time – without interrupting production. Using artificial intelligence and stereo imaging, the system automatically analyses the truck bed, segments each visible rock, and identifies any oversized material. If a boulder is detected, the system automatically alerts dispatch so that trucks can be diverted.

“TruckMetrics, therefore, provides a two-pronged approach to mitigating problems caused by oversized material,” Motion Metrics said. “First, it helps keep boulders out of the crusher by identifying trucks that contain oversized material and diverting them before they reach the plant. Secondly, the particle size data TruckMetrics captures can be used to optimise blasting parameters so that fewer boulders are produced in the first place.”

TruckMetrics is just one of several services within the Motion Metrics ecosystem that boost productivity and energy efficiency without compromising on safety, the company says.