Complex Geometry Pavement Milling
Abstract
Disclosed is a method and apparatus for digital control of a milling machine drum to minimize road material milled using complex geometry. A digital representation of a surface and/or subsurface of a road is loaded into a controller. Road defects are identified based on the digital surface, by comparing defect digital characteristics with the digital surface. A minimum removal map can be generated using the defect digital characteristics. A milling tool path can then be generated to minimize material removal, based on the minimum removal map. The mill depth and movement of a mill drum can then be controlled based on the milling tool path.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method for digital control of a mill drum of a milling machine to minimize milled road material during pavement repair, the method comprising:
loading a digital surface of the road into a controller; analyzing the digital surface by the controller to identify road defects comprising road surface defects and/or subsurface defects; generating a minimum removal map comprising one or more removal volumes, based at least in part upon defect digital characteristics; generating a milling tool path based on the minimum removal map and a mill cutting profile, for removal of the one or more removal volumes; and controlling a milling depth and movement of a mill drum based on the milling tool path.
2 . The method of claim 1 , wherein generating a minimum removal map comprises determining a minimum material removal volume for a road defect based at least in part upon a minimum horizontal clearance from a defect boundary, and a minimum vertical clearance from the defect boundary.
3 . The method of claim 2 , wherein generating a minimum removal map further comprises combining said minimum material removal volume for each of a plurality of road defects.
4 . The method of claim 3 , wherein controlling a milling depth and movement of a mill drum based on the minimum removal map comprises using the mill drum to remove at least the minimum material removal volume.
5 . The method of claim 2 , wherein generating a minimum removal map comprises:
calculating a horizontal defect boundary by vertically projecting the road defect to a virtual calculation plane.
6 . The method of claim 5 , wherein the virtual calculation plane is a horizontal plane.
7 . The method of claim 6 , wherein the virtual calculation plane is aligned with an average height of a road surface.
8 . The method of claim 5 , wherein calculating a horizontal defect boundary further comprises defining a loop enclosing the road defect.
9 . The method of claim 5 , wherein generating a minimum removal map further comprises identifying an expanded horizontal defect boundary by expanding the horizontal defect boundary outward by a minimum horizontal clearance.
10 . The method of claim 9 , wherein generating a minimum removal map further comprises sweeping the expanded horizontal defect boundary vertically to create a removal volume associated with the road defect.
11 . The method of claim 1 , wherein:
analyzing the road surface to identify road defects comprises comparing the digital surface with defect digital characteristics within a digital library of defect digital characteristics to a type associated with the road defect; and the removal volumes are determined based at least in part upon the road defect type.
12 . The method of claim 1 , wherein analyzing the digital surface of the road to identify road defects comprises feeding the digital surface to a trained machine learning model.
13 . The method of claim 1 , wherein generating a minimum removal map comprises:
identifying, within the digital surface, a road defect center point; and defining an enclosed loop for the road defect by connecting points measured radially from the road defect center point to an outermost defect edge.
14 . The method of claim 13 , wherein the points measured radially from the road defect center point to an outermost defect edge are measured in radial increments of 3 degrees or less, measured on a virtual calculation plane.
15 . The method of claim 10 , wherein sweeping the expanded horizontal defect boundary vertically comprises sweeping the expanded horizontal defect boundary to a predetermined depth.
16 . The method of claim 10 , wherein sweeping the expanded horizontal defect boundary vertically comprises sweeping the expanded horizontal defect boundary to a depth based at least in part upon a detected depth of a subsurface defect.
17 . The method of claim 1 , wherein generating a milling tool path further comprises generating a milling tool path to minimize removal of material outside the minimum removal map and minimize mill vertical movement.
18 . The method of claim 1 , wherein the mill drum is configured for lateral movement, and wherein generating a milling tool path further comprises generating a milling tool path configured to minimize lateral translation of the mill drum.
19 . The method of claim 1 , wherein:
the milling machine comprises multiple mill drums; and portions of the milling tool path are followed by each of the multiple mill drums.
20 . The method of claim 1 , wherein loading a digital surface of the road into a controller comprises capturing the digital surface of the road via one or more sensors installed on the milling machine.
21 . The method of claim 20 , wherein capturing the digital surface of the road via one or more sensors installed on the milling machine is performed continuously as the milling machine moves in a direction of travel while milling.
22 . The method of claim 1 , further comprising a preceding step of capturing the digital surface of the road via a sensor machine separate from the milling machine; and loading a digital surface of the road into a controller comprises transmitting data corresponding to the digital surface of the road to the milling machine.Join the waitlist — get patent alerts
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