iPosition serves as indurad’s comprehensive platform solution for enhancing safety, positioning accuracy, and automation in mobile continuous mining equipment, including in-pit crushing and conveying systems, leach pad automation systems, and more.
The solution is carefully designed to concurrently improve both safety and productivity, achieved through the integration of various sensor technologies, including 2D radar sensors, RTLS and GPS.
By fusing these three distinct technologies, a 2oo3 fail operation mode is achieved, boasting an impressive availability rate of 99.9%.
With successful installations across Mongolia, Brazil, Germany, and Chile, the system consistently demonstrates its effectiveness and reliability. Notably, certain systems in Germany have been in continuous operation for more than a decade.
indurad uses inhouse expertise in radar, GNSS and RTLS technology to provide probably the most advanced IPCC automation kit to the market.
indurad stands as the sole supplier providing both greenfield and brownfield automation solutions for IPCC equipment, utilizing an innovative combination of 2D radar, RTLS, and GNSSsystems.
This powerful blend of technologies ensures dependable and precise positioning, not only whenthe equipment is in close proximity but also during alignment or movement.
Moreover, the solution offers robust collision avoidance capabilities, enhancing safety and efficiency in the process.
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“We started with indurad´s 2D radar on the suspended hopper cars and based on the high availability of the manless-automation mode we have been rolling out the concept on the travelling hopper cars and on the spreader side where we replaced existing laser solutions providing now a better machine availability.
Finally, we reduced wear on the machinery as of reducing steering commands of about 20%”
IPCC user statement, Germany
The solution is capable of ensuring a dependable alignment of transfer points for large equipment in IPCC operations. This is achieved through the implementation of a sensor fusion concept by indurad, guaranteeing accuracy and reliability in the alignment process.
Reduce unscheduled downtime by automated transferpoint alignment of the machines
Prevent collisions between machines by automatic movement and alignment
By utilizing 2D radar technology, the beltwagon can be accurately aligned with the beltconveyor, enabling automated beltwagon movement and ensuring collision prevention.
Reduce unscheduled downtime by automated alignment
Prevent collisions between machines by automatic movement and alignment
Automated alignment and docking rely on both 3D and 2D radar sensors to precisely position the bucket wheel reclaimer to the leach pad bridge.
by reducing alinment time
increase crusher filling, to maintain choke feed
filling level
Implementing the sensor fusion concept for transfer point alignment among the Mobile Sizing Rig, mobile belt bridge, and hopper car.
precise and reliable positioning
maximizing uptime
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Safety & Efficiency
A dust suppression system impaires visitoin of the human operator unloading vessels at at Port of Quebec. Indurad “restores” the operator’s vision using it’s 3D radar technology.
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indurad is a leader in making mining and dry bulk handling or processing easier and more cost effective. Based on our radar technology we offer various solutions and also sensors with OEM interfaces such as ROS2.
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To improve port operations, EECV Rotterdam is using a combination of Indurad solutions.
Learn how the customer uses the solutions for individual benefits and how they are combined for a quantum leap in bulk terminal operations.
Steel plant Stockyard Homogenization
indurad has provided Posco Pohang in Korea with both a 3D Stockpile scanning, Stacker Automation and 4D Quality and blending model.
Automatic Block Cutting on Crawler Bucket Wheel Excavator: A multifunctional solution for the world’s largest bucket wheel excavator (240.000m³/day).
The indurad solution provides collision avoidance data and detects any object on either side of the bucket wheel.
At the same time, the system provides cutting depth control and thus increase the productivity of the machine.
indurad proved in a benchmarking field test – comparing indurad radar sensors against a leading industrial laser scanner – that, the standard deviation between radar and laser was only 0.03m, respectively. RWE considers the accuracy of indurad’s radars equal to that of laser sensors. RWE choose to install indurad because of the significantly higher availability offered by radar’s reliable performance under adverse conditions.
Successful implementation of a completely autonomous Stacker at ArcelorMittal in Quebec, Canada.
Conveyor belt flow & belt misalignment, condition monitoring & wear
Gyratory | Jaw | Crusher Vault
Tertiary
Apron & plate feeder 2D level and material volume
Screendeck performance and material yield measurement
Chute blockage detection and material flow monitoring
3D silo volume measurement + rathole detection monitoring
3D dome volume measurement, material tracking and feeder control
3D stockpile scanning, quality model and automation
Train loadout productivity increase by automation
Waggon unloader automation and material tracking
Stacker Automation, incl. 3D pile monitoring & material tracking
Material quality control and tracking, blending automation
Reclaimer automation and collision avoidance
Level9 collision avoidance for underground vehicles & personnel
IPCC automation and heavy machine positioning solutions
Shiploader collision avoidance, 3D hatch scan and full automation
Horizontal and vertical boom CAS, 3D hatch scan and automation
Vessel detection and ship guidance system for berthing operations
Monthly payments, subscription services
Project based implementation as capital expenditure
Diverse management team driving customer success.
Cross-industry partner network for sales and service - always close to the customer.
company success story and recent developments transforming mining.
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Learn about new developments and the shows and conferences we attend.
The core DNA of indurad. Learn more about the publicly funded RnD.
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