Abstract: A method, related system and related computer program product are provided for monitoring wear of teeth of a drum of a double roll crusher. A processor receives a digital video capturing rotation of the drum and the teeth. For each frame of the digital video, the processor segments the frame into groups of contiguous pixels, wherein each group is representative of one of the teeth. The processor determines parameter indicative of a geometry of at least one of the teeth based on segmented groups of contiguous pixels in at least one of the frames of the digital video. The processor generates a human-readable report based on the parameter indicative of the geometry of the at least one of the teeth.

Abstract: A method, system and computer program product are provided for monitoring a transverse position of a conveyor belt or its material load. A processor receives a digital video or digital images capturing movement of the conveyor belt and the material load. The processor segments the images or frames into a group of contiguous pixels representative of the conveyor belt, and the material load, such as by moving object detection, using background segmentation and threshold processing, pixel intensity-based segmentation or image texture-based segmentation. The processor determines a pixel coordinate of the group of contiguous pixels, which is indicative of the transverse position of the conveyor belt or the material load. The processor generates an alarm or report or a data signal, which depends, directly or indirectly, on the determined pixel coordinates.

Abstract: A method, related system and related computer program product are provided for monitoring wear of teeth of a drum of a double roll crusher. A processor receives a digital video capturing rotation of the drum and the teeth. For each frame of the digital video, the processor segments the frame into groups of contiguous pixels, wherein each group is representative of one of the teeth. The processor determines parameter indicative of a geometry of at least one of the teeth based on segmented groups of contiguous pixels in at least one of the frames of the digital video. The processor generates a human-readable report based on the parameter indicative of the geometry of the at least one of the teeth.

Abstract: A method, system and computer program product are provided for monitoring a transverse position of a conveyor belt or its material load. A processor receives a digital video or digital images capturing movement of the conveyor belt and the material load. The processor segments the images or frames into a group of contiguous pixels representative of the conveyor belt, and the material load, such as by moving object detection, using background segmentation and threshold processing, pixel intensity-based segmentation or image texture-based segmentation. The processor determines a pixel coordinate of the group of contiguous pixels, which is indicative of the transverse position of the conveyor belt or the material load. The processor generates an alarm or report or a data signal, which depends, directly or indirectly, on the determined pixel coordinates.

Abstract: A system for correcting transverse misalignment of a conveyor belt relative to a supporting pulley, includes a frame is pivotally attached to a stationary member. A guide surface engages the frame to guide pivoting of the frame about the pivot point simultaneously about a vertical axis and a longitudinally aligned axis. Idler rollers rotatably mounted on the frame define a rolling contact surface for the conveyor belt, which is concavely-shaped in a transversely-extending vertical plane. The pivoting of the frame causes the surface to impart a combined transverse pushing effect, torsional steering effect, and torsional tiling effect on the conveyor belt. An actuator applies a force to pivot the frame about the axis. A computer determines an amount of the misalignment based on a signal from a sensor, and automatically controls the actuator to pivot the frame, depending on the determined amount of the misalignment.

Abstract: A system for correcting transverse misalignment of a conveyor belt relative to a supporting pulley, includes a frame is pivotally attached to a stationary member. A guide surface engages the frame to guide pivoting of the frame about the pivot point simultaneously about a vertical axis and a longitudinally aligned axis. Idler rollers rotatably mounted on the frame define a rolling contact surface for the conveyor belt, which is concavely-shaped in a transversely-extending vertical plane. The pivoting of the frame causes the surface to impart a combined transverse pushing effect, torsional steering effect, and torsional tiling effect on the conveyor belt. An actuator applies a force to pivot the frame about the axis. A computer determines an amount of the misalignment based on a signal from a sensor, and automatically controls the actuator to pivot the frame, depending on the determined amount of the misalignment.

Abstract: A system for characterizing a slurry in a slurry process includes a flow tube, a camera, and a computer. The system is suitable for use with an oil sands extraction slurry processed or treated by an oil sands extraction slurry process. The slurry is diverted from the slurry process into the flow tube. The camera images the slurry as it flows through a transparent portion of the flow tube to produce a digital image of the slurry. The computer analyzes the digital image to determine a slurry characteristic. Based on the determined slurry characteristic, the computer may predict a performance metric of the slurry process and adjust an operating parameter of the slurry process to optimize the slurry process towards a target performance metric. Multiple systems may be used to continuously monitor slurry characteristics at upstream and downstream steps of the slurry process, and determine correlations between those characteristics.

Abstract: A system for characterizing a slurry in a slurry process includes a flow tube, a camera, and a computer. The system is suitable for use with an oil sands extraction slurry processed or treated by an oil sands extraction slurry process. The slurry is diverted from the slurry process into the flow tube. The camera images the slurry as it flows through a transparent portion of the flow tube to produce a digital image of the slurry. The computer analyzes the digital image to determine a slurry characteristic. Based on the determined slurry characteristic, the computer may predict a performance metric of the slurry process and adjust an operating parameter of the slurry process to optimize the slurry process towards a target performance metric. Multiple systems may be used to continuously monitor slurry characteristics at upstream and downstream steps of the slurry process, and determine correlations between those characteristics.