A disc for use in a disc screen is disclosed. The disc includes a longitudinal disc axis and a hub extending a length along the longitudinal disc axis. The hub further includes a hub surface and a helical ridge structure extending away from the hub surface and twisting about the longitudinal axis at least 360 degrees. A cross-section of the hub taken perpendicularly to the longitudinal disc axis is non-circular.

An adjustable roll sizer for sorting objects of different sizes includes a first set of rollers mounted to a support structure and arranged in a first parallel array. A second set of rollers is mounted to the support structure in a second parallel array that is interleaveably alignable with the first parallel array. Means for automatic control are provided for misaligning the second parallel array from the first parallel array to vary gap width between adjacent rollers. Each roller in the second parallel array may also be tapered to vary gap width as a function of roller length. Rollers may include helical ridges for urging objects along the gaps.

The present disclosure provides methods and systems for autonomous data collection and system control of a material recovery facility (MRF). A control system receives data from set of sensors that reflect a status of the MRF. The control system determines an operating status of various MRF components (e.g., material handling units (MHUs), sensors, and/or other elements) and/or a composition of a waste stream being processed by the MRF. The control system controls MHU(s) based on the data to optimize the recovery and/or purity of recoverable materials from the waste stream. The control system may rearranging MHUs within the MRF and/or re-tasking individual MHUs to perform different handling functions. Machine learning (ML) and/or artificial intelligence (AI) mechanisms can be used to optimize the operation of the MRF in an autonomous fashion. Other aspects are also disclosed.

The present disclosure provides methods and systems for autonomous data collection and system control of a material recovery facility (MRF). A control system receives data from set of sensors that reflect a status of the MRF. The control system determines an operating status of various MRF components (e.g., material handling units (MHUs), sensors, and/or other elements) and/or a composition of a waste stream being processed by the MRF. The control system controls MHU(s) based on the data to optimize the recovery and/or purity of recoverable materials from the waste stream. The control system may rearranging MHUs within the MRF and/or re-tasking individual MHUs to perform different handling functions. Machine learning (ML) and/or artificial intelligence (AI) mechanisms can be used to optimize the operation of the MRF in an autonomous fashion. Other aspects are also disclosed.

A roller assembly for a screening device includes a shaft extending along a width direction, a pair of discs disposed on the shaft, and a spacing assembly disposed on the shaft between the pair of discs. The spacing assembly includes an inner spacer disposed around the shaft and an outer spacer disposed around the inner spacer. The outer spacer has a body defining an inner receiving space and a support element disposed in the inner receiving space. The body abuts against the discs and is formed of an elastically compressible material. The support element limits compression of the body along the width direction.

A dirt removal and piling machine is ideally suited for use in cleaning and piling individualized and non-uniformly shaped workpieces, preferably sugar beets but also potatoes, other tuber crops, and even with aggregate rocks for a tilting receiving station. A further aspect of the present machine includes a workpiece unloading or receiving station which can tip sideways after a dump truck unloads the workpieces and longitudinally drives therethrough. In another aspect, the machine also includes a cleaning station having rotatable rollers, an underlying dirt conveyor and a moveable dirt dumping conveyor, hopper or bucket adjacent an end of the dirt conveyor and external to the rollers. Furthermore, another aspect of the machine includes an automatic and/or robotic sampling arm which is operable to remove a tuber crop workpiece sample and automatically package the sample after the sample has moved through a cleaning station.

A dirt removal and piling machine is ideally suited for use in cleaning and piling individualized and non-uniformly shaped workpieces, preferably sugar beets but also potatoes, other tuber crops, and even with aggregate rocks for a tilting receiving station. A further aspect of the present machine includes a workpiece unloading or receiving station which can tip sideways after a dump truck unloads the workpieces and longitudinally drives therethrough. In another aspect, the machine also includes a cleaning station having rotatable rollers, an underlying dirt conveyor and a moveable dirt dumping conveyor, hopper or bucket adjacent an end of the dirt conveyor and external to the rollers. Furthermore, another aspect of the machine includes an automatic and/or robotic sampling arm which is operable to remove a tuber crop workpiece sample and automatically package the sample after the sample has moved through a cleaning station.

Disclosed embodiments include methods and systems for autonomous data collection and system control of a material recovery or recycling facility. In some embodiments, a central control system receives inputs in the form of at least one data stream from each of one or more environmental sensors that reflect the status of a material recovery facility (MRF). The inputs are used to determine the operating status of one or more components of the MRF, and/or composition of a waste stream being processed by the MRF. At least one material handling unit is controlled in response to the inputs to optimize the recovery and/or purity of recyclable or recoverable materials from the waste stream. A service unit or mechanism may also be controlled in response to the inputs indicating that a component of the MRF requires servicing.

Disclosed embodiments include methods and systems for autonomous data collection and system control of a material recovery or recycling facility. In some embodiments, a central control system receives inputs in the form of at least one data stream from each of one or more environmental sensors that reflect the status of a material recovery facility (MRF). The inputs are used to determine the operating status of one or more components of the MRF, and/or composition of a waste stream being processed by the MRF. At least one material handling unit is controlled in response to the inputs to optimize the recovery and/or purity of recyclable or recoverable materials from the waste stream. A service unit or mechanism may also be controlled in response to the inputs indicating that a component of the MRF requires servicing.

Disclosed embodiments include methods and systems for autonomous data collection and system control of a material recovery or recycling facility. In some embodiments, a central control system receives inputs in the form of at least one data stream from each of one or more environmental sensors that reflect the status of a material recovery facility (MRF). The inputs are used to determine the operating status of one or more components of the MRF, and/or composition of a waste stream being processed by the MRF. At least one material handling unit is controlled in response to the inputs to optimize the recovery and/or purity of recyclable or recoverable materials from the waste stream. A service unit or mechanism may also be controlled in response to the inputs indicating that a component of the MRF requires servicing.