A method for establishing a posteriori a match between a piece of wood and a log from which the piece of wood has been obtained, comprising the following operating steps of performing a tomographic scan of the wooden log, of calculating or selecting a log cutting pattern, of defining, starting with the tomographic information available, one or more virtual individualising characteristics which are linked to the distribution and/or size of physical characteristics of the log inside and/or on the surface of the self-same virtual piece of wood, of saving them in a database, together with information about the identity of the log, of dividing the log into real pieces of wood according to the cutting pattern, of acquiring real information about the distribution and/or size of physical characteristics of the log inside and/or on the surface of a real piece of wood and of defining corresponding real individualising characteristics to be compared with virtual individualising characteristics saved and of identifying an origin of the real piece of wood based on the information about the identity of the log which is saved together with the virtual individualising characteristics which match the real individualising characteristics.

Method and calculating unit for curve sawing of a block in a cutting direction with at least a first circular saw blade. The method comprises determining a radius of the curve sawing, by measuring the curvature of the block in the direction of cutting; calculating a vertical inclination angle of the first circular saw blade in a vertical plane relative to the cutting direction in the block, based on the determined radius of the curve sawing; inclining the first circular saw blade with the calculated vertical inclination angle; and sawing the block in the cutting direction with the inclined first circular saw blade along the determined radius of the curve sawing.

The present disclosure describes methods and systems for virtually calibrating geometric sensors with overlapping fields of view. In some embodiments, a geometric sensor may be virtually calibrated by applying a correction value to profile data obtained by the geometric sensor to generate adjusted profile data. The correction factor may be determined based at least in part on X-Y offsets and/or rotational offsets of prior profile data obtained by the geometric sensor relative to corresponding profile data obtained by a reference geometric sensor, and may be recalculated or updated as new sets of profile data are obtained. The adjusted profile data may be used in place of the original profile data in various data processing operations to functionally offset a positional error of the geometric sensor.

A system that includes a computer processor having a plurality of input data devices, a plurality of output data devices, and a plurality of sensors; and a mechanical assembly integrated with the computer processor to reposition a piece of wood lumber based on software code executing in the computer processor. In some embodiments, the system performs a method that includes eliciting and receiving into the computer processor data parameters from a first human user; obtaining incoming data points about the lumber from the plurality of sensors; processing and storing the data parameters; comparing the incoming data points to the data parameters to obtain comparison results; and, based on the comparison results, (1) rejecting the lumber to a preprogrammed position, (2) feeding the lumber into a saw assembly as positioned, or (3) repositioning the lumber to a more optimal position prior to feeding the lumber to the saw assembly.

When cutting the flat products (3) a set of the desired shapes and dimension of the products (3) is defined. Firstly at least one surface of the material (1) is scanned; scanning sets the boundaries of the available surface of the material (1). Optical scanning can be supplied by radiological scanning, preferably by a CT scanner (8). Defects (2) are identified in the scanned image and a position is assigned to them. A weight coefficient is assigned to each element from a set of the desired shapes and dimensions of the products (3). A cutting plan (4) is created; this plan (4) defines the boundaries of individual flat products (3), whereby the places with the identified defects (2) of the material (1). Optimalization of the distribution of the desired products (3) is realized with the goal of achieving the highest sum of the number of the products (3) multiplied by the weight coefficient of a given product (3) without the need to cut all the elements from a set of the desired products (3). Subsequently a cutting machine (6) is used to cut the products (3); this machine (6) cuts the material (1) without any limitation with regard to the mutual position of the cut lines of the neighboring products (3).

A method assists during execution of a sequence of cuttings in a tree, wherein, during a cutting sequence, a first cut in the tree is followed by a second cut in the tree At least a part of an ideal course of the second cut depends on at least a part of a course of the first cut. The method includes the steps of: identifying at least the part of the course of the first cut in the tree; precalculating at least the part of the ideal course of the second cut in the tree based on the identified part of the course of the first cut; and outputting cutting information for executing the second cut based on the precalculated part of the ideal course of the second cut.

Method (500) and calculating unit (620) for curve sawing of a block (100) in a cutting direction (S) with at least a first circular saw blade (110). The method (500) comprises determining (501) a radius (R) of the curve sawing, by measuring the curvature of the block (100) in the direction of cutting (S); calculating (502) a vertical inclination angle () of the first circular saw blade (110) in a vertical plane (V) relative to the cutting direction (S) in the block (100), based on the determined radius (R) of the curve sawing; inclining (503) the first circular saw blade (110) with the calculated (502) vertical inclination angle (); and sawing (508) the block (100) in the cutting direction (S) with the inclined (503) first circular saw blade (110) along the determined (501) radius (R) of the curve sawing.

Embodiments provide methods, apparatuses, and systems for cutting wood workpieces, such as logs and cants, into desired products. In various embodiments, after a log is chipped into a cant, the cant may be scanned and re-optimized based on the new scan data and information about the source log, such as simulated orientation parameters, a 3D model, and/or potential cut solutions. In other embodiments, data from multiple sensor types may be used in combination to detect splits in logs, cants, or both. Optionally, re-optimization and split detection techniques may be used in combination to improve wood volume recovery, value, and/or throughput speed.

In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.

In various embodiments, a scanner optimizer system may generate a virtual model of a predicted flitch based on a 3D model of a log/cant and a cut solution for the log/cant. The scanner optimizer system may compare a virtual model of an actual flitch to virtual models of predicted flitches by comparing data points at a fixed elevation relative to one or both faces of the models. Based on the comparisons, the scanner optimizer system may identify the source log from which the actual flitch was cut. In addition, the scanner optimizer system may identify the saw used to cut the actual flitch, and/or other relevant information, and use the additional information to monitor and adjust the saws and other equipment. Embodiments of corresponding apparatuses and methods are also described.