The present disclosure relates to systems and methods for distributing residue of harvested agricultural products. More specifically, the present disclosure relates to a system that evaluates harvested agricultural product residue distribution during the harvesting process, and in response is configured to modify an aspect of a residue system to improve residue distribution.
In one aspect, the disclosure provides a residue vision system that includes a harvesting machine configured to traverse a field and harvest an agricultural material, a residue distribution system carried by the harvesting machine and configured to distribute a residue of the agricultural material onto a first harvested area of the field, at least one camera coupled to the harvesting machine and configured to acquire an image of a second harvested area of the field, and an electronic control unit in communication with the at least one camera and the residue distribution system. The electronic control unit is configured to analyze the image acquired by the at least one camera, and in response to the analysis adjust the residue distribution system to adjust distribution of the residue onto the first harvested area of the field.
Other aspects of the disclosure will become apparent by consideration of the detailed description and accompanying drawings.
Before embodiments of the disclosure are explained in detail, it is to be understood that the disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the accompanying drawings. The disclosure is capable of supporting other embodiments and of being practiced or of being carried out in various ways.
In addition, various embodiments of the systems and methods herein are disclosed as being applied on or used in conjunction with agricultural material that is processed by a harvester. Agricultural material can include, but is not limited to, hay, straw, silage, cotton, or any other suitable material, product, or crop that can be harvested, separated (or threshed), transported, and/or stored.
While the illustrated harvesting machine 10 is shown as a combine harvester 10. However, in other embodiments, the harvesting machine 10 can be any suitable machine or device that harvests agricultural material (e.g., corn, grain, soybeans, etc.), separates stalks, straw, and/or chaff from the grain/kernels/beans, collects the stalks, straw, and/or chaff as residue, then processes and/or distributes the residue onto a field.
A harvesting platform 26 (or harvesting head 26) is mounted to a feederhouse 30. The harvesting platform 26 harvests the agricultural product from a field (or other planted land), directing it to the feederhouse 30. The agricultural product is directed by the feederhouse 30 to a processing unit 34. The processing unit 34 threshes and separates the harvested agricultural product material. The processing unit 34 can be a rotary threshing and separating unit. However, in other embodiments, the processing unit 34 can be any apparatus suitable for threshing and separating grain (or kernels, beans, etc.) from the remaining agricultural material.
Separated grain (or kernels, beans, etc.) and chaff are discharged from the processing unit 34 and enter a cleaning assembly 38. The cleaning assembly 38 is configured to remove the chaff from the separated grain (or kernels, beans, etc.). The cleaning assembly 38 can remove the chaff by air (winnowing), grates, or any other suitable cleaning apparatus. The cleaning assembly 38 directs the cleaned grain (or kernels, beans, etc.) to a grain tank (not shown). The grain tank can be unloaded into a grain cart, a truck, or other grain storage or transportation vehicle separate from the harvester 10 by an unloading conveyor 42.
Residue, which can include stalks, stubble (or stems), straw, leaves, seed pods, husks, chaff, and other undesired portions of the harvested agricultural product, is discharged from the processing unit 34 and the cleaning assembly 38 to a residue distribution system 46. For example, stalks, stubble (or stems), straw, leaves, seed pods, and/or husks separated from the grain (or kernels, beans, etc.) and chaff by the processing unit 34 is discharged to the residue distribution system 46. In addition, chaff separated from the grain (or kernels, beans, etc.) by the cleaning assembly 38 is discharged to the residue distribution system 46.
The residue distribution system 46 includes a chopping assembly 50 and a spreading assembly 54. The chopping assembly 50 (or chopper) can include a plurality of blades (or a knife bank) (not shown) mounted to a rotor (not shown) that is positioned in a housing (not shown). The rotor can be driven by a motor (not shown). The blades are configured to rotate with the rotor to chop (or cut) the residue into smaller pieces. The motor can be a multi-speed motor to provide different rotational speeds of the rotor. Stated another way, the speed of the motor can be adjusted to responsively adjust rotor speed to change a chop quality (e.g., an increase in motor speed can increase a rotor speed to produce a fine chop, a decrease in motor speed can decrease a rotor speed to produce a coarse chop, etc.). An example of the chopping assembly 50 and associated operation is described as the residue chopping and distribution arrangement disclosed in U.S. Pat. No. 9,345,198, the contents of which is incorporated by reference in its entirety. In other embodiments, the chopping assembly 50 can include any suitable or desired cutting components to facilitate the cutting or chopping of residue into smaller pieces.
Downstream of the chopping assembly 50 is the spreading assembly 54. The spreading assembly 54 is configured to distribute the chopped (or cut) residue out of the spreading assembly 54, and the harvester 10, and onto a harvested field. The spreader assembly 54 can include a rotary or broadcast spreader 58 that can be driven by a motor (not shown). The motor can have multiple speeds in order to adjust the rotational speed of the spreader 58. The rotational speed of the spreader 58 can be adjusted to change the spread distance of the residue (e.g., increase speed to increase the spread distance, decrease speed to decrease the spread distance, etc.). An example of the spreader 58 and associated operation is described as the chaff spreader disclosed in U.S. Pat. No. 9,345,198, referenced above. In that embodiment, the spreader 58 can include a plurality of paddles that extend radially from a hub that is configured to engage a drive shaft. Rotation of the drive shaft in turn rotates the hub and associated paddles, facilitating spreading of the residue.
The spreader assembly 54 can additionally (or alternatively) include one or more guide vanes 62. The guide vanes 62 can be disposed relative to an outlet of the residue distribution system 46 and configured to direct a flow of the residue out of the spreading assembly 54 (and the harvester 10) and onto the harvested field. The guide vanes 62 can include a deflector, a vane, a fin, or any other suitable device for directing the flow of residue. The guide vanes 62 can also include one or more actuators 66 that are configured to respectively adjust an associated guide vane 62. The actuators 66 can be electronic, hydraulic, or any other suitable device for moving the guide vanes 62. The actuators 66 can be configured to adjust the guide vanes 62 to change an amount of residue being discharged onto a harvested field (e.g., increase flow volume, decrease flow volume, etc.), and/or to adjust a direction of guide vanes 62 to control (or alter) the direction of the flow of the residue being discharged onto a harvested field. In other embodiments, the spreader assembly 54 can include any suitable or desired components to facilitate the spreading and controlled distribution of residue onto a harvested field.
A residue vision system 70 is mounted to the harvester 10. The residue vision system 70 is configured to optically capture images of a portion of a harvested field. The images can then be analyzed to ascertain the quality of residue on the harvested field (e.g., residue coverage, residue size, etc.), and in response adjust the residue distribution system 46 to improve residue quality on the harvested field (e.g., adjust residue chop quality to produce a finer or coarser residue, adjust a residue distribution to increase or decrease spread distance, adjust a residue distribution to adjust a residue distribution direction, adjust a residue distribution to increase or decrease an amount of discharged residue, etc.).
The residue vision system 70 includes at least one camera 74, 78. In the illustrated embodiment, the residue vision system 70 includes a first camera 74 and a second camera 78. The first camera 74 is positioned on the harvesting platform 26, while the second camera 78 is positioned on the frame 14. As illustrated in
With reference to
With reference to
With reference back to
The harvester 10 can also include a weather station 102 that is configured to detect one or more ambient weather conditions. As illustrated in
With reference back to
It should be appreciated that the cameras 74, 78 and associated views F1, F2 illustrated in
The residue control system 200 can be an application or module that operates in a local environment. For example, the system 200 can be a module that is stored locally on the electronic control unit 82 (e.g., on the computer readable storage medium 90, etc.) associated with the harvester 10. In other embodiments, the system 200 can be a module that is stored on any other device or equipment in the vicinity of and in communication with the harvester 10 (e.g., a laptop computer, smartphone, etc.). In other embodiments, the residue control system 200 can be distributed (i.e. operates on a remote server or from a remote location) and is in communication with the electronic control unit 82. The communication can be through any suitable wireless connection, a web portal, a web site, a local area network, generally over the Internet, etc. The residue control system 200 includes a series of processing instructions or steps that are depicted in flow diagram form.
Referring to
Next at step 208, operation of the residue vision system 70 is initiated. For example, an operator (or user) of the harvester 10 actuates the switch 94 (see
At step 212, the residue vision system 70 acquires an image of a portion of the second harvested area 122b (or the previous pass of the harvester 10 through the field 114). At least one camera 74, 78 is configured to capture the image of the second harvested area 122b. As shown in
Next at step 216, the acquired image (or images) captured by the at least one camera 74, 78 (or cameras 74, 78) is analyzed to assess the distribution of residue in the second harvested area 122b. The image(s) of the second harvested area 122b are digital images that are communicated to the electronic control unit 82. The electronic control unit 82 can then analyze the image(s). In other embodiments, a computer system (or processing system) remote to the electronic control unit 82 but in communication with the electronic control unit 82 can perform the analysis of the image(s).
The analysis of the image(s) can include evaluating the image to distinguish between standing crop (if present), stubble, residue, and open areas (or uncovered ground) of the harvested area 122b of the field 114. For example, the system can detect if any standing crop is present in the image, and quantify an amount of standing crop (as standing crop is taller than the other material). The system can also detect any stubble, which is the stalk and/or stem material that remains in the harvested area 122 (e.g., in the ground, etc.) after the agricultural material is harvested. The stubble generally sticks up (or protrudes) from the harvested area 122, but is substantially shorter than standing crop. The system can also detect residue that has been distributed by the harvester 10 out of the spreading assembly 54. The residue is detected in relation to the stubble and any open areas (or areas that do not include stubble or residue). To detect standing crop, stubble, residue, and open areas, the system can look at an orientation of material in the image(s) (e.g., standing or sticking out of ground versus laying on the ground, etc.), color of the material in the image(s) (e.g., stubble and residue can have a different color than open areas/uncovered ground, etc.), shape of the material in the image(s) (e.g., stubble protrudes out of the ground, residue is cut up and randomly distributed over the ground, open areas do not include any shaped material, etc.), a height of the stubble (e.g., determine an estimated height of the stubble based on an image comparison between the captured image of stubble and a database of images of known stubble heights at different distances from the at least one camera 74, 78 detecting the image, etc.), and/or a texture of the material in the image(s) (e.g., residue has a texture that is different than open areas, etc.).
Once the material is detected in the image(s), the system analyzes the image(s) for a quality of residue distribution. For example, the image is analyzed to determine if residue is distributed such that it extends across a width of the second harvested area 122b. The width of the second harvested area 122b is defined as the distance between the edges 126, 130 of the prior pass of the harvester 10. If the residue does not extend entirely across the width of the second harvested area 122b, or is an incomplete spread, the system determines where the residue is not present (e.g., where an open area is detected). For example, the residue may be distributed over an incomplete distance between one (or both) of the edges 126, 130 of the second harvested area 122b, with a band (or bands) of open area positioned between the residue and one (or both) of the edges 126, 130. In another example, residue may be incompletely chopped (or clumping) in areas of the second harvested area 122b. This is detected by areas of residue and areas of open area in the second harvested area 122b. In these situations, where the residue is not evenly distributed across the second harvested area 122b, the residue distribution system 46 requires adjustment at step 220. In other situations, were the analysis determines the residue is distributed across the second harvested area 122b in an acceptable manner (or is a full spread), the residue distribution system 46 does not require an adjustment at step 220.
In response to the analysis of the image(s), the system determines whether to adjust an aspect of the residue distribution system 46 at step 220. If yes, the system determines that based on the analysis of the image(s) the residue distribution system 46 should be adjusted, the system proceeds to step 224 to adjust the residue distribution system 46. If no, the system determines that based on the analysis of the image(s) the residue distribution system 46 should not be adjusted, the process proceeds to step 228. The harvester 10 continues to operate and distribute residue in the first harvested area 122a.
At step 224 the residue distribution system 46 is adjusted. The adjustment can be associated with one or more components of the residue distribution system 46, including, but not limited to, the chopping assembly 50, the spreader 58, and/or the guide vanes 62. In addition, the adjustment can be responsive to address detected issues in chop quality of the residue, or to address detected issues in residue spread distribution and/or residue spread width that were detected during the image analysis and residue distribution assessment at step 216.
As a non-limiting example, if the system 200 determines a detected issue with chop quality of the residue, such as the residue is being incompletely chopped (or alternatively the residue is being overly chopped) at steps 216-220, the system 200 can responsively implement changes to adjust the residue chop quality at step 224. More specifically, the system 200 can implement an adjustment to the chopping assembly 50 at step 224. In situations where the residue is being incompletely chopped, the system can instruct the electronic control unit 82 to command the chopping assembly 50 to increase a motor speed to increase a speed of the plurality of blades (or knife bank) and/or adjust a depth of the plurality of blades (or the knife bank) within the chopping assembly 50 (e.g., increase the depth of the blades or knife bank within the chopping assembly 50) to adjust the chop quality (e.g., implement a finer chop, etc.). In situations where the residue is being overly chopped, the system 200 can instruct the electronic control unit 82 to command the chopping assembly 50 to decrease a motor speed to decrease the speed of the plurality of blades (or knife bank) and/or adjust a depth of the plurality of blades (or the knife bank) within the chopping assembly 50 (e.g., decrease the depth of the blades or knife bank within the chopping assembly 50) to adjust the chop quality (e.g., implement a coarser chop, etc.).
It should be appreciated that in addition to the image analysis and assessment at step 216, the system 200 can consider additional information when addressing detected issues in chop quality of the residue. For example, the system 200 can consider a global position of the harvester 10 (or position of the harvester 10 in the field 114) detected by the GPS receiver 98, a feed rate of agricultural product entering the harvesting head 26, a feed rate of residue entering the residue distribution system 46, a moisture level of material other than grain (or “MOG”), a speed of the chopping assembly 50, and/or a position of a knife bank within (or relative to) the chopping assembly 50. With regard to the moisture level of MOG, a moisture sensor (not illustrated) can be positioned at a sample location along a flow direction of the residue from the processing unit 34, to the cleaning assembly 38, to the residue distribution system 46. The moisture sensor can be inline and configured to detect a water level (or moisture level) of the MOG. With regard to the speed of the chopping assembly 50, any suitable speed sensor (not illustrated) can be used to measure a rotational speed of the rotor and/or knife bank of the chopping assembly 50. For example, a tachometer can be used to measure the rotational speed of the rotor or the knife bank. With regard to the position of the knife bank within (or relative to) the chopping assembly 50, any suitable position sensor (not illustrated) can be used to measure a position of the plurality of knives (or knife bank) relative to the chopping assembly 50 (or the housing of the chopping assembly 50). For example, one or more of a potentiometer, a position sensor associated with a hydraulic cylinder for inserting/withdrawing the knives and/or knife bank relative to the chopping assembly 50, and/or a proximity switch can be used to measure the position (or depth) of the knives and/or knife bank relative to the chopping assembly 50 (or housing of the chopping assembly 50).
As another non-limiting example, if the system 200 determines a detected issue with residue spread distribution, such as the residue is not being distributed in one (or more areas) of the second harvested area 122b at steps 216-220, the system 200 can responsively implement changes to the spreader assembly 54 to adjust a trajectory, a direction, and/or a spread distance of the residue discharge out of the harvester 10 at step 224 to improve the distribution of residue spread. More specifically, the system 200 can instruct the electronic control unit 82 to command the spreader assembly 54 to implement an adjustment to the guide vanes 62 to adjust the trajectory or the direction of residue discharge out of the harvester 10. In addition, or alternatively, the system 200 can implement an adjustment to the spreader 58. For example, the system 200 can instruct the electronic control unit 82 to command the spreader assembly 54 to implement an adjustment to a speed of the motor driving the spreader 58 to increase a spread distance (e.g., increase a rotational speed of the spreader by increasing the motor speed, etc.) or decrease a spread distance (e.g., decrease a rotational speed of the spreader by decreasing the motor speed, etc.). This in turn directs the residue to responsively address (or correct) the distribution of residue discharge out of the harvester 10 in the first harvested area 122a.
As another non-limiting example, if the system 200 determines a detected issue with residue spread width across the second harvested area 122b at steps 216-220, the system 200 can responsively implement changes to adjust the spreading assembly 54 at step 224 to adjust the spread of residue. More specifically, in situations where the residue is not being completely spread (or is an incomplete spread) across the second harvested area 122b, the system 200 can instruct the electronic control unit 82 to command the spreader 58 to increase the spread distance (e.g., increase a rotational speed of the spreader, etc.) of the residue and/or to adjust the guide vanes 62 to responsively change a direction of the spread residue to increase the spread distance to increase spread width and fill in any area that is not receiving residue. In situations where the residue is being spread too far, or is overthrowing residue (or over spreading residue), such that the residue extends beyond the edges 126, 130 of the second harvested area 122b, the system 200 can instruct the electronic control unit 82 to command the spreader 58 to decrease the spread distance (e.g., decrease a rotational speed of the spreader, etc.) of the residue and/or to adjust the guide vanes 62 to responsively change a direction of the spread residue to decrease the spread distance to decrease spread width. In addition, in some situations where it is detected that residue has not been completely spread in the second harvested area 122b, the system can instruct the electronic control unit 82 to command the spreader 58 to overthrow residue while in the first harvested area 122a in order to apply residue to the uncovered area. For example, if it is detected that residue has not been applied to an area from the cut edge 130 into the second harvested area 122b (or previous pass of the harvester 10), the system 200 can instruct the electronic control unit 82 to command the spreader 58 to increase the spread distance (e.g., increase a rotational speed of the spreader, etc.) of the residue and/or to adjust the guide vanes 62 to responsively overthrow residue while in the first harvested area 122a (or the current pass of the harvester 10) to fill in the area of the second harvested area 122b that is not covered by residue. Independent of the residue distribution system 46 adjustment being implemented, the system detects residue distribution performance in the second harvested area 106b and when necessary, attempts to resolve any detected residue distribution performance deficiency in the first harvested area 106a.
It should be appreciated that in addition to the image analysis and assessment at step 216, the system 200 can consider additional information when addressing detected issues in residue spread distribution and/or residue spread width. For example, the system 200 can consider a global position of the harvester 10 (or position of the harvester 10 in the field 114) detected by the GPS receiver 98, a feed rate of agricultural product entering the harvesting head 26, a feed rate of residue entering the residue distribution system 46, the moisture level of MOG, a wind speed, a wind direction, a rotational speed of the spreader 58, a position of the guide vanes 62, a slope of the harvester 10, and/or a speed of the harvester 10 as it travels through the field 114. With regard to the wind speed, the wind speed gauge 106 of the weather station 102 can be used to measure (or detect) the wind speed of the ambient weather surrounding the harvester 10. With regard to the wind direction, the wind direction gauge 110 of the weather station 102 can be used to measure (or detect) the wind direction of the ambient weather surrounding the harvester 10. The system 200 can responsively adjust residue spread distance and/or residue spread direction as discussed above based on the ambient wind speed and ambient wind direction to improve residue coverage in the harvested areas 122a, b. With regard to the rotational speed of the spreader 58, any suitable speed sensor (not illustrated) can be used to measure a rotational speed of the spreader 58. For example, a tachometer can be used to measure the rotational speed of the rotary spreader. With regard to the position of the guide vanes 62, any suitable position sensor (not illustrated) can be used to measure a position of the guide vane 62 relative to the spreading assembly 54 (or the housing of the spreading assembly 54). For example, one or more of a potentiometer, a position sensor associated with a hydraulic cylinder for moving each guide vane 62 relative to the spreading assembly 54 and/or a proximity switch can be used to measure the position of each guide vane 62. With regard to a slope of the harvester 10, any suitable sensor that is configured to detect an orientation of the harvester 10 based on the terrain of the field 114 can be used. For example, an inertial measurement unit can be positioned on the harvester 10 and can be configured to detect a change in (or measure a position and/or orientation of) the harvester 10 along three axes: an X-axis or roll, a Y-axis or yaw, and a Z-axis or pitch. With regard to the speed of the harvester 10, a speedometer or other suitable sensor configured to detect a speed (or velocity) of harvester 10 can be used to detect the speed of the harvester 10 as it travels through the field 114.
As another non-limiting example, if the system 200 determines a detected issue with stubble height, such as the stubble being taller than a target stubble height (or the stubble being shorter than a target stubble height) at steps 216-220, the system 200 can responsively adjust a position of the harvesting platform 26 (or harvesting head 26) at step 224 to modify the stubble height to be closer to the target stubble height. With some crops (e.g., corn, etc.) an aspect of residue is a target stubble height (or stalk stubble height). An operator of the harvesting machine 10 can set a target stubble height TSH during harvesting. The harvesting platform 26 will then responsively adjust its position relative to the harvesting machine 10 to pursue the target stubble height TSH during harvesting. If the system 200 determines at steps 216-220 that the detected actual stubble height ASH is greater than the target stubble height TSH (ASH>TSH), the system 200 can adjust the harvesting platform 26 to reduce the actual stubble height ASH at step 224. For example, the system 200 can lower the harvesting platform 26 relative to the harvesting machine 10, or the system 200 can lower the harvesting platform 26 to be closer to the ground. If the system 200 determines at steps 216-220 that the detected actual stubble height ASH is less than the target stubble height TSH (ASH<TSH), the system 200 can adjust the harvesting platform 26 to increase the actual stubble height ASH at step 224. For example, the system 200 can raise the harvesting platform 26 relative to the harvesting machine 10, or the system 200 can raise the harvesting platform 26 to be further away from the ground.
After completion of step 224, the process then proceeds to step 228. At step 228 the system detects whether operation of the residue vision system 70 has been terminated. Termination can occur by actuation of the switch 94 by the operator, or by powering down the harvester 10. If yes, operation of the residue vision system 70 has been terminated, the system proceeds to step 232, which ends operation of the system. If no, operation of the residue vision system 70 has not been terminated, the system returns to step 212 where the process repeats.
The residue vision system 70 and associated application 200 include certain advantages. The system provides for autonomous adjustment of residue distribution in a first harvested area 122a in response to a detected residue distribution performance in the second harvested area 122b. Stated another way, residue distribution performance detected in a prior harvesting path is evaluated and used to automatically adjust residue distribution in the current harvesting path. The system attempts to spread residue as evenly as possible across the width of the first harvested area 122a (as defined by the width of the harvesting platform 26 or the distance between the edges 126, 130 of the first harvested area 122a). By matching the width of the first harvested area 122a, the residue can improve nutrient content in the harvested area 122 of the field 114, which can improve crop yield the following year. The system limits under spreading of residue, which can negatively impact crop yield the following year due to lower nutrient content in the harvested area 122 of the field 114. The system also limits over spreading (or overthrowing) of residue, which can plug the harvesting platform 26 in the next pass of the harvester 10 through the field 114. These and other features and advantages of the disclosure are set forth herein.
Number | Name | Date | Kind |
---|---|---|---|
6406368 | Cruson et al. | Jun 2002 | B1 |
6750898 | Ishida | Jun 2004 | B1 |
6939221 | Redekop et al. | Sep 2005 | B1 |
7485035 | Yde | Feb 2009 | B1 |
9775290 | Schleusner et al. | Oct 2017 | B2 |
9807938 | Wilken et al. | Nov 2017 | B2 |
10255670 | Wu | Apr 2019 | B1 |
10259383 | Campbell | Apr 2019 | B1 |
10952374 | Posselius | Mar 2021 | B2 |
11224170 | Dighton | Jan 2022 | B2 |
20030141965 | Gunderson | Jul 2003 | A1 |
20030190939 | Bueermann | Oct 2003 | A1 |
20050059445 | Niermann et al. | Mar 2005 | A1 |
20050194473 | Pearson et al. | Sep 2005 | A1 |
20060183519 | Benes | Aug 2006 | A1 |
20070026912 | Anderson et al. | Feb 2007 | A1 |
20070111766 | Holmen | May 2007 | A1 |
20070275775 | Farley et al. | Nov 2007 | A1 |
20080268927 | Farley et al. | Oct 2008 | A1 |
20090005137 | Isaac et al. | Jan 2009 | A1 |
20090111548 | Landuyt | Apr 2009 | A1 |
20090253474 | Isaac | Oct 2009 | A1 |
20090287380 | Chervenka et al. | Nov 2009 | A1 |
20090325659 | Overschelde et al. | Dec 2009 | A1 |
20110045883 | Weichholdt et al. | Feb 2011 | A1 |
20110045884 | Weichholdt et al. | Feb 2011 | A1 |
20110093169 | Schroeder et al. | Apr 2011 | A1 |
20110130181 | Roberge et al. | Jun 2011 | A1 |
20110237316 | Isaac et al. | Sep 2011 | A1 |
20110270495 | Knapp | Nov 2011 | A1 |
20120004815 | Behnke | Jan 2012 | A1 |
20120178509 | Eggenhaus et al. | Jul 2012 | A1 |
20120270613 | Isaac et al. | Oct 2012 | A1 |
20130095899 | Knapp | Apr 2013 | A1 |
20130324199 | Roberge et al. | Dec 2013 | A1 |
20140031096 | Isaac et al. | Jan 2014 | A1 |
20140080555 | Wagner et al. | Mar 2014 | A1 |
20140171160 | Ricketts et al. | Jun 2014 | A1 |
20140302897 | Isaac et al. | Oct 2014 | A1 |
20150264864 | Branch et al. | Sep 2015 | A1 |
20150351321 | Shane | Dec 2015 | A1 |
20150373913 | Berry et al. | Dec 2015 | A1 |
20160069045 | Wei | Mar 2016 | A1 |
20160088794 | Baumgarten et al. | Mar 2016 | A1 |
20160134844 | Casper | May 2016 | A1 |
20160374267 | Reinecke et al. | Dec 2016 | A1 |
20170006759 | Adamchuk | Jan 2017 | A1 |
20170034997 | Mayerle | Feb 2017 | A1 |
20170071125 | Pfeiffer et al. | Mar 2017 | A1 |
20170086372 | Palla et al. | Mar 2017 | A1 |
20170086373 | Mahieu et al. | Mar 2017 | A1 |
20170112055 | Depreitere | Apr 2017 | A1 |
20170142900 | Mahieu et al. | May 2017 | A1 |
20170238463 | Van De et al. | Aug 2017 | A1 |
20180007831 | Ballegeer et al. | Jan 2018 | A1 |
20180084718 | Baumgarten et al. | Mar 2018 | A1 |
20180092301 | Vandike et al. | Apr 2018 | A1 |
20180092302 | Vandike et al. | Apr 2018 | A1 |
20180310474 | Posselius | Nov 2018 | A1 |
20180368318 | Isaac et al. | Dec 2018 | A1 |
20190104681 | Larson et al. | Apr 2019 | A1 |
20190150357 | Wu | May 2019 | A1 |
20190174674 | Diessner et al. | Jun 2019 | A1 |
20190269071 | Dilts | Sep 2019 | A1 |
20200060082 | Shinners et al. | Feb 2020 | A1 |
20200107502 | Mayerle et al. | Apr 2020 | A1 |
20200296896 | Mayerle | Sep 2020 | A1 |
20200323133 | Anderson et al. | Oct 2020 | A1 |
20200396904 | Faulkner et al. | Dec 2020 | A1 |
20210015039 | Vandike et al. | Jan 2021 | A1 |
20210034867 | Ferrari et al. | Feb 2021 | A1 |
20210282329 | Hall | Sep 2021 | A1 |
20210400870 | Sunil et al. | Dec 2021 | A1 |
20220110253 | Anderson et al. | Apr 2022 | A1 |
20220132742 | Faulkner et al. | May 2022 | A1 |
20220151139 | Dugas | May 2022 | A1 |
20220174873 | Topmöller et al. | Jun 2022 | A1 |
20220232768 | Craig | Jul 2022 | A1 |
20220346313 | Passchyn et al. | Nov 2022 | A1 |
20220354054 | Hermann | Nov 2022 | A1 |
20220361411 | Mayerle et al. | Nov 2022 | A1 |
20220361412 | Duquesne et al. | Nov 2022 | A1 |
20220369552 | Christiansen et al. | Nov 2022 | A1 |
20220369553 | Christiansen et al. | Nov 2022 | A1 |
20220369554 | Christiansen et al. | Nov 2022 | A1 |
20220375228 | Christiansen | Nov 2022 | A1 |
20220394921 | Missotten et al. | Dec 2022 | A1 |
20220394923 | Christiansen et al. | Dec 2022 | A1 |
20220394924 | Christiansen et al. | Dec 2022 | A1 |
20220394925 | Missotten et al. | Dec 2022 | A1 |
20220397417 | Christiansen et al. | Dec 2022 | A1 |
20220408642 | Mygind Bojsen | Dec 2022 | A1 |
20230026898 | Baes et al. | Jan 2023 | A1 |
20230028281 | Lorriette | Jan 2023 | A1 |
20230037095 | Mayerle | Feb 2023 | A1 |
Number | Date | Country |
---|---|---|
102021011709 | Dec 2022 | BR |
108093830 | Jun 2018 | CN |
102014005904 | Oct 2015 | DE |
102014014049 | Mar 2016 | DE |
0264764 | Apr 1988 | EP |
0685151 | Apr 1999 | EP |
1266553 | Jun 2006 | EP |
1790207 | Nov 2009 | EP |
1856966 | Nov 2009 | EP |
1964465 | Apr 2013 | EP |
2364587 | Dec 2013 | EP |
2936962 | Aug 2017 | EP |
2936961 | Aug 2018 | EP |
3172959 | Sep 2018 | EP |
3228174 | Mar 2019 | EP |
3000302 | Aug 2019 | EP |
3613272 | Feb 2020 | EP |
4000373 | May 2022 | EP |
4115723 | Jan 2023 | EP |
4129044 | Feb 2023 | EP |
2606740 | Nov 2022 | GB |
2606741 | Nov 2022 | GB |
202011006479 | Aug 2021 | IN |
2017075002 | May 2017 | NO |
2003005803 | Jan 2003 | WO |
2003039238 | May 2003 | WO |
2018076428 | May 2018 | WO |
2018162699 | Sep 2018 | WO |
2022043785 | Mar 2022 | WO |
2022043786 | Mar 2022 | WO |
Number | Date | Country | |
---|---|---|---|
20210084820 A1 | Mar 2021 | US |