Patents Assigned to INTELLISENSE.IO LTD
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Patent number: 11873238Abstract: A mineral recovery system for use in a mining operation is described. The mineral recovery system a thickener includes a process water input, an underflow output having an underflow controller configured to adjust outflow of thickened slurry from the thickener, an overflow output configured to dispense clarified water from the thickener; and a flocculant input and a flocculant dilution input, a thickener controller configured to control an operation of the thickener; and a processor executing a mining operations generated model to issue commands to the thickener controller, based on inputs of sensed conditions, wherein the mining operations model incorporates a thickener sub-model and a material sub-model, wherein the mining operations model is employed to predict a future state of a thickener based on inputs of sensed conditions in the thickener and predictions made by the thickener sub-model and the material sub-model in real time.Type: GrantFiled: November 12, 2021Date of Patent: January 16, 2024Assignee: Intellisense.Io LtdInventors: Sam Bose, Denis Rubtsov, Hugh Mcnamara, Boris Wolter, Mark De Geus
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Publication number: 20230342509Abstract: Disclosed is a method for dynamically constructing and updating a model of 3-dimensional topography of a stock-pile of granular material is provided. The method includes dumping the granular material to a maximum slope in a column in the stock-pile, wherein the maximum slope is determined by analyzing digital scans of the stock-pile; reducing the maximum slope to a smaller value of the maximum slope, dynamically increasing the maximum slope linearly until it reaches the original value of the maximum slope to obtain a uniformly expanding plateau; defining an adjustable shape comprising a first distance and a second distance, wherein the adjustable shape is flat till the first distance and the second distance beyond which the adjustable shape varies with the maximum slope; and reclaiming the granular material that flows downhill from a center depth to update the model of the 3D topography of the stock-pile.Type: ApplicationFiled: August 25, 2021Publication date: October 26, 2023Applicant: INTELLISENSE.IO LTDInventors: Mario Leon GATICA, Chris HALLSON, Cecilia LABORDE, Mark de GEUS, Hugh MCNAMARA, Niel KNOBLAUCH, Grant KOPEC, Éamonn MURRAY
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Publication number: 20230264204Abstract: Disclosed is a method for optimizing a mineral recovery process from ore material using a flotation chamber. The method comprises implementing a machine learning model to determine operational parameters of the flotation chamber, for the mineral recovery process based on a geometry of the flotation chamber and properties of the ore material. The method further comprises simulating the mineral recovery process using ranges of the determined operational parameters to determine a factor representative of a relationship between a gas hold-up value and a bubble diameter value. The method further comprises calculating the gas hold-up value and the bubble diameter value based on determined the operational parameters and the determined factor.Type: ApplicationFiled: August 11, 2021Publication date: August 24, 2023Applicant: INTELLISENSE.IO LTDInventors: Hugh MCNAMARA, Mario Leon GATICA, Balazs HORNUNG, Cecilia LABORDE
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Publication number: 20220073386Abstract: A mineral recovery system for use in a mining operation is described. The mineral recovery system a thickener includes a process water input, an underflow output having an underflow controller configured to adjust outflow of thickened slurry from the thickener, an overflow output configured to dispense clarified water from the thickener; and a flocculant input and a flocculant dilution input, a thickener controller configured to control an operation of the thickener; and a processor executing a mining operations generated model to issue commands to the thickener controller, based on inputs of sensed conditions, wherein the mining operations model incorporates a thickener sub-model and a material sub-model, wherein the mining operations model is employed to predict a future state of a thickener based on inputs of sensed conditions in the thickener and predictions made by the thickener sub-model and the material sub-model in real time.Type: ApplicationFiled: November 12, 2021Publication date: March 10, 2022Applicant: Intellisense.Io LtdInventors: Sam Bose, Denis Rubtsov, Hugh Mcnamara, Boris Wolter, Mark De Geus
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Patent number: 11202974Abstract: A mineral recovery system for use in a mining operation is described. The mineral recovery system includes a mining operations model generated based on inputs of sensed conditions, wherein the mining operations model incorporates a thickener sub-model and a material sub-model. The mineral recovery system includes a thickener controller to issue commands based on the mining operations model. The mineral recovery system includes a thickener having a process water. The thickener also includes an underflow output provided with an underflow controller to adjust outflow of thickened slurry from the thickener based on issued commands. The thickener further includes an overflow output to dispense clarified water from the thickener.Type: GrantFiled: January 30, 2018Date of Patent: December 21, 2021Assignee: INTELLISENSE.IO LTDInventors: Sam Bose, Denis Rubtsov, Hugh McNamara, Boris Wolter, Mark de Geus