Machine vision based sawmill audit system

US9827643B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9827643-B2
Application numberUS-201213413460-A
CountryUS
Kind codeB2
Filing dateMar 6, 2012
Priority dateMar 7, 2011
Publication dateNov 28, 2017
Grant dateNov 28, 2017

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Sawmill auditing and control apparatus and methods employ information from one or more scan zones and/or controllers (e.g., PLCs). Boards may be logically associated with mill equipment which produced the boards, allowing defects or imperfections to be tied to certain equipment. For example, boards may be associated with a primary breakdown machine or a gangsaw, or with a pair of cutters (e.g., saws, chip heads). Such allows auditing of mill operations to identify improperly functioning machinery or out of tolerance conditions, to correct such, and/or provide notification.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method of operation of a mill equipment audit system, the method comprising: receiving image information by a processor-based mill equipment audit processing system; receiving position related information from a machine controller that controls at least one piece of mill machinery, the information indicative at least of a position of at least one cutting element relative to a piece of wood being cut for each of a plurality of pieces of wood; characterizing each of a plurality of boards based on the received image information and the received position information by the processor-based mill equipment audit processing system; logically associating the respective board with a single pair of cutting devices which produced the respective board by the processor-based mill equipment audit processing system based on the characterization of at least the respective board; and for each of a number of sets of the boards: creating a virtual representation of a cant based at least in part of the image information; and determining a saw path through the virtual representation of the cant based at least in part on the information indicative of a sawing path of the gang saw with respect to a chipped cant from which the boards of the respective set of boards have been sawn. 2. The method of claim 1 wherein receiving position related information from a machine controller that controls at least one piece of mill machinery includes receiving information from a gangsaw controller indicative of a sawing path of the gang saw with respect to a cant. 3. The method of claim 1 , further comprising: based on image information indicative of an amount of wane appearing on at least some of the boards, creating a virtual representation of an original cant from which the chipped cant was produced. 4. The method of claim 3 , further comprising: based in the virtual representation of the original cant, determining whether the original cant has two chipped sides, a chip left side and sawed right side, a sawed left side and chipped right side, or two sawed sides. 5. The method of claim 1 wherein receiving position related information from a machine controller that controls at least one piece of mill machinery includes receiving information from a primary breakdown controller indicative of a position of at least one chip head with respect to a log segment. 6. The method of claim 1 , further comprising: storing to at least one nontransitory processor-readable medium information indicative of a relationship between curvature, speed and sawing accuracy. 7. The method of claim 1 wherein receiving image information by a processor-based mill equipment audit processing system includes receiving image information from a single planer laser scanner positioned at least proximate an infeed of an edger of the mill. 8. The method of claim 7 wherein receiving image information by a processor-based mill equipment audit processing system includes receiving image information from two point laser scanners positioned at least proximate an infeed of an edger of the mill. 9. The method of claim 7 wherein receiving image information by a processor-based mill equipment audit processing system includes receiving image information from at least one planer laser scanner positioned at least proximate an outfeed of an edger of the mill. 10. The method of claim 7 wherein receiving image information by a processor-based mill equipment audit processing system includes receiving image information from at least one laser scanner positioned at least proximate at least one of an infeed or an outfeed of a gangsaw of the mill. 11. A mill equipment audit system, comprising: a number of scanners positioned to provide image information from each of a number of pieces of mill equipment; and a processor-based mill equipment audit processing system communicatively coupled to the number of scanners, and which includes at least one processor and at least one non-transitory processor-readable medium communicatively coupled to the at least one processor and which stores at least one of processor executable instructions or data, which when executed by the processor causes the at least one processor to: receive image information by a processor-based mill equipment audit processing system; receive position related information from a machine controller that controls at least one piece of mill machinery, the information indicative at least of a position of at least one cutting element relative to a piece of wood being cut for each of a plurality of pieces of wood; characterize each of a plurality of boards based on the received image information and the received information by the processor-based mill equipment audit processing system; logically associate the respective board with a single pair of cutting devices which produced the respective board by the processor-based mill equipment audit processing system based on the characterization of at least the respective board; and for each of a number of sets of the boards: create a virtual representation of a cant based at least in part on the image information; and determine a saw path through the virtual representation of the cant based at least in part on the information indicative of a sawing path of a gang saw with respect to a chipped cant from which the boards of the respective set of boards have been sawn. 12. The mill equipment audit system of claim 11 wherein the at least one processor receives information from a gangsaw controller indicative of a sawing path of the gang saw with respect to a cant. 13. The mill equipment audit system of claim 11 wherein the at least one processor further: creates a virtual representation of an original cant from which the chipped cant was produced based on image information indicative of an amount of wane appearing on at least some of the boards. 14. The mill equipment audit system of claim 13 wherein the at least one processor further: determines whether the original cant has two chipped sides, a chip left side and sawed right side, a sawed left side and chipped right side, or two sawed sides based on the virtual representation of the original cant. 15. The mill equipment audit system of claim 11 wherein the at least one processor receives information from a primary breakdown controller indicative of a position of at least one chip head with respect to a log segment. 16. The mill equipment audit system of claim 11 wherein the at least one processor further: stores to the at least one nontransitory processor-readable medium information indicative of a relationship between curvature, speed and sawing accuracy. 17. The mill equipment audit system of claim 11 wherein the at least one processor receives the image information from a single planer laser scanner positioned at least proximate an infeed of an edger of the mill. 18. The mill equipment audit system of claim 11 wherein the at least one processor receives the image information from two point laser scanners positioned at least proximate an infeed of an edger of the mill. 19. The mill equipment audit system of claim 11 wherein the at least one processor receives the image information from at least one planer laser scanner positioned at least proximate an outfeed of an edger of the mill. 20. The mill equipment audit system of claim 11 wherein the at least one processor receives the image information from at least one laser scanner positioned at least proximate at least one of an infeed or an ou

Assignees

Inventors

Classifications

  • using optics {or electromagnetic waves} · CPC title

  • taking into account geometric properties of the trunks or logs to be sawn, e.g. curvature · CPC title

  • B23Q17/20Primary

    for indicating or measuring workpiece characteristics, e.g. contour, dimension, hardness · CPC title

  • Arrangements for conveying, loading, turning, adjusting, or discharging the log or timber, specially designed for saw mills or sawing machines (B27B29/00 takes precedence {; arrangements for raising or lowering the feed rollers of gang saw mills B27B3/14; driving mechanisms for the feed rollers of gang saw mills B27B3/16}) · CPC title

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What does patent US9827643B2 cover?
Sawmill auditing and control apparatus and methods employ information from one or more scan zones and/or controllers (e.g., PLCs). Boards may be logically associated with mill equipment which produced the boards, allowing defects or imperfections to be tied to certain equipment. For example, boards may be associated with a primary breakdown machine or a gangsaw, or with a pair of cutters (e.g.,…
Who is the assignee on this patent?
Barker Earl, Weyerhaeuser Nr Co
What technology area does this patent fall under?
Primary CPC classification B23Q17/20. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Nov 28 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).