Tag Archives: GNSS

U&M and Hexagon ready to deploy AHS solution at Brazil mine

Automation, Communications in mining, IoT, Mine operation news, Mining equipment, Mining safety, Mining services, Mining software, Precious metals, Sustainable mining, , , , , , , , , , , , , , , , ,

U&M Mineração e Construção S/A, as the largest native open-pit mining contractor in the Americas and one increasingly focused on sustainability, is about to embark on a major autonomous haulage project that could prove transformational for all sizes of mine sites across the globe.

The company has been busily working on an in-house Autonomous Haulage System (AHS) for several years, enlisting the help of Hexagon’s Mining division back in 2020 to ensure what it delivered to the market was a commercial proposition with widescale applicability, IM discovered this week at HxGN LIVE Global 2023 in Las Vegas.

Now the companies are ready to deploy their combined OEM-agnostic AHS solution at a mine in Brazil, starting next month, as part of a plan to bring two AHS-enabled retrofitted Caterpillar 777 trucks to the operation.

The collaboration is seeing U&M carry out all mechanical changes to the 100-ton-class payload trucks to make them automation-ready without disturbing the OEM system. The contractor is also in charge of the navigation system and software that the trucks will run on – the ‘autonomous driver’ as it could be termed.

Hexagon, for its part, provides the HxGN Autonomous Mining Mission Manager Solution to optimise the movement of autonomous and non-autonomous vehicles, and mine production activities through one interface; the World Perception solution to enable object detection, operator vehicle-to-vehicle and vehicle-to-person awareness; and some additional on-board infrastructure – such as sensors and an antenna.

This, according to the companies, makes for an autonomous contractor solution that can be rolled out anywhere in the world.

“What we are creating is a scalable platform that can be used on any truck,” Mauricio Casara of U&M says

“The first project may involve Cat 777s, but what we are creating is a scalable platform that can be used on any truck,” Mauricio Casara, Commercial Director at U&M, told IM. “We are looking to improve on the legacy AHS solutions by making automation available to any size of mine with any type of trucks.”

As part of the company’s R&D work to this point, it has also retrofitted an autonomous solution on a Komatsu 730E, with that truck running at its proving grounds in Brazil.

Interestingly for this proof of concept involving the two Cat 777s, the plan is to enable the trucks to interact with both autonomous and manned vehicles in the haulage cycle from the off: an interaction that the traditional AHS providers have only just started to work on after more than a decade of industry deployments.

This is just one of the hurdles the solution will overcome, according to Andrew Crose, Vice President, Autonomous Mining, Hexagon’s Mining division.

“The world perception sensor stack that we have on board these machines will allow us to distinguish between trucks, light vehicles, berms, people and many other objects,” he said. “By leveraging this, we can ensure the trucks operate as safely as possible while being as productive as possible. That is key to achieving buy-in from all stakeholders involved.”

While the official partnership for this project was not signed until 2020, U&M has been utilising the GNSS positioning smarts of Hexagon – through the NovAtel business it acquired – for many more years.

This same GNSS solution is being leveraged in the two-strong autonomous truck trial along with V2X, 4D Radars,  ultra-wideband time-of-flight systems and more.

Crose added: “It’s worth mentioning that around 60% of the autonomous machines running in the field have some Hexagon solution on them. We are sometimes providing the positioning, world perception, fleet and mission management, onboard autonomy and by-wire, all part of our interoperable strategy.”

While this initiative is inevitably going to pique the interest of those companies in charge of running these autonomous trucks, U&M has no plans to compete with the likes of Caterpillar and Komatsu when it comes to manufacturing automation-ready trucks.

“There are so many existing trucks out in the field that our clients are running; all of which can be retrofitted with the solution we are working on,” Casara said. “The whole industry talks about sustainability and how to mine sustainably, but the sustainable solution to achieving autonomous operations is not to build brand new trucks and equip them for automation; it is to retrofit the smarts onto them to enable that automation.

“This is the sustainable way to roll out the automation needed across the sector to achieve mining companies’ productivity and decarbonisation goals.”

Hyperspectral imaging technology tested at Western Australia gold, iron ore mines

Automation, IoT, Mine surveying, Mining equipment, Mining services, Mining software, Precious metals, Steel and iron ore, , , , , , , , , , , ,

The University of Queensland and research partners Plotlogic Pty Ltd have developed new automated mining technology that, they say, will facilitate automation of the mining process while improving operating efficiency.

The research has shown how artificial intelligence can use scans of the mine face to almost instantly identify valuable minerals and waste rock, allowing each stage of the mining process to be planned more effectively in advance, UQ said.

Professor Ross McAree, Head of School of Mechanical and Mining Engineering from UQ, said the new technology used visible and infrared light to automatically classify materials.

“Each mineral has its own characteristic response to different wavelengths of light, so by scanning the mine face with our system we can map out the minerals present in the rock and their concentration (ore grade) almost instantaneously,” Professor McAree said.

This real-time mapping allows the mining process to be planned out before digging even starts, according to the researchers.

“Beyond this immediate efficiency gain, the enhanced ability to recognise ore grade could also underpin future autonomous mine systems,” Professor McAree said. “Machines equipped with this imaging system would be able to recognise ore grade as they were excavating it. Linked to artificial intelligence, this could allow automated machinery to operate in the mine environment, removing workers from hazardous parts of the mining process.”

Real-time ore grade classification at the mine face could also enhance mine scheduling and improve resource recovery and minimise processing waste, the researchers claim.

The project was supported by the Minerals Research Institute of Western Australia (MRIWA), with MRIWA CEO, Nicole Roocke, saying investment into research like this helped position Australia’s minerals industry at the leading edge of technology development.

“This imaging approach could prove particularly valuable where rapid extraction and consistency of ore grades could provide a competitive advantage to those leading the way,” Roocke said.

The project, which was conducted in 2018-2019, had a total grant value of A$850,850 ($653,322). In addition to MRIWA, UQ and Plotlogic, CITIC Pacific Mining and AngloGold Ashanti were also involved, hosting trials at the Sino iron ore and Tropicana gold mines, in Western Australia, respectively.

It was based off the OreSense® prototype system, developed to meet the needs of the research project, as well as offering a commercial pathway for early industry adoption of the technology.

“The prototype delivers a system capable of acquiring, processing and classifying hyperspectral data in the field and in real time, mapped to terrain and geo-referenced for integration with mine maps,” the project partners said. “In order to be the most general and applicable to all minerals, the hyperspectral imaging capabilities cover the visible to short wave infrared spectrum (400-2,500 nm).

“The surveying capabilities of the system rotate in more than one axis to perform face scans and build a 3D data-cube from two individual line-scanning hyperspectral sensors. The system spatially and spectrally fuses the data cubes from the two sensors to provide a single data-cube for an entire scene. The system also performs on-board corrections and post-processing of the hyperspectral data to support real-time ore grade classification.”

The prototype used on site during the trials consisted of a sensor head with LiDAR and hyperspectral cameras, a pan-tilt unit and a GNSS receiver among other elements (see photo above).

SUEK-Kuzbass takes to the skies for surveying and land management surveys

Coal technology, Communications in mining, IoT, Mine operation news, Mine surveying, Mining equipment, Mining services, Steel and iron ore, , , , , , , , , ,

SUEK says it has purchased six unmanned aerial vehicles (UAVs) with various modifications intended for aerial photography during surveying operations of its Kuzbass facilities, in the Kemerovo region of Russia.

The decision to develop the company’s fleet of UAVs was made after a test of aerial photography at SUEK’s open-pit mines in the Krasnoyarsk region and Buryatia, the company said. “After analysing the accuracy and detail of 3D terrain models obtained using UAVs, SUEK concluded that this technology could be used for surveying and land management in mining,” it said.

In August 2018, the Aerial Surveying Office was established as part of the technical directorate in Kuzbass. Today, the office is equipped with two Russia-made UAVs capable of making aerial photographs at a height up to 1 km, with a flight duration of two-and-a-half and four hours, respectively.

SUEK’s fleet also includes four compact DJI drones and a GNSS receiver that makes it possible to receive and process signals from all navigation satellite systems that exist today, it says. This latter device enables surveyors to locate UAVs during aerial photography.

Simultaneously with the procurement of equipment and staff training, the Aerial Surveying Office has made efforts to satisfy the requirements of the mandatory registration of UAVs with the Federal Air Transport Agency, to ensure compliance with legislation governing the use of Russian airspace, the process of aerial photography and the operation of UAVs, SUEK said.

The technology is helping the company solve a whole range of issues related to open-pit mining, such as evaluating the size of coal storage facilities, monitoring hazardous situations, updating topographic plans of work areas and surrounding territories, and monitoring the use of company land. The latter includes actual use of allotted land, the intended purpose of the land, reclamation, demolition control in buffer zones and property stock taking, the company said.

Anatoly Meshkov, Technical Director of SUEK-Kuzbass, said: “First of all, UAVs improve the efficiency and safety of surveying measurements and the accuracy of necessary calculations. We can now remotely control mining operations at almost any point and build digital enterprise models.

“Essentially, this is another step towards creating a ‘digital underground mine’ and a ‘digital open-pit mine’ to obtain the maximum amount of data for highly efficient management of coal production processes.”