Method for controlling a labeling machine, labeling unit and container handling system
US-2017210502-A1 · Jul 27, 2017 · US
US12577016B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12577016-B2 |
| Application number | US-202318362330-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 31, 2023 |
| Priority date | Dec 15, 2022 |
| Publication date | Mar 17, 2026 |
| Grant date | Mar 17, 2026 |
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Disclosed are a pole piece labeling control method and device, electronic equipment, and a storage medium. The method includes: acquiring a pole piece image, including a pole piece mark hole image, of a target pole piece; determining a defect detection result according to the pole piece image; determining a first distance according to the pole piece mark hole image; determining a second distance according to the first distance; determining a labeling delay of the target pole piece according to the second distance; and controlling the labeling of the target pole piece according to the labeling delay and the defect detection result. The real-time position of the pole piece transferred on a compression roller is identified through the pole piece mark hole image, so that the accuracy of the labeling delay is improved, and the labeling position based on the labeling delay is more accurate.
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What is claimed is: 1 . A method for pole piece labeling control, comprising: acquiring pole piece images of a target pole piece moving at a constant speed, wherein the pole piece images include a pole piece mark hole image; detecting defects on the target pole piece according to the acquired pole piece images, and obtaining a defect detection result; when the defect detection result indicates that the target pole piece has a defect, determining a first distance according to the pole piece mark hole image, wherein the first distance is a distance from a mark hole in the pole piece mark hole image to an image edge, close to a labeling position, of the pole piece mark hole image; determining a second distance according to the first distance, wherein the second distance is a distance from the mark hole in the pole piece mark hole image to the labeling position; determining a labeling delay of the target pole piece, wherein the labeling delay is a delay time length; and labeling the target pole piece after the labeling delay; wherein determining the labeling delay of the target pole piece comprises: acquiring a camera frequency division parameter, a camera frequency multiplication parameter, and a visual detection precision; and determining the labeling delay of the target pole piece according to the second distance the camera frequency division parameter, the camera frequency multiplication parameter, and the visual detection precision. 2 . The method according to claim 1 , wherein determining the second distance according to the first distance comprises: acquiring a third distance between a first camera and the labeling position, wherein the first camera is a camera that shoots the pole piece image of the target pole piece; and determining the second distance according to the third distance and the first distance. 3 . The method according to claim 2 , wherein determining the second distance according to the third distance and the first distance comprises: acquiring a length of the pole piece image; and determining the second distance according to the third distance, the first distance, and the length of the pole piece image. 4 . The method according to claim 3 , wherein determining the second distance according to the third distance, the first distance, and the length of the pole piece image comprises: calculating the second distance L 2 according to a first formula, wherein the first formula is: L 2 = L 3 - 2 * L 0 + L 1 , wherein L 1 is the first distance, L 2 is the second distance, L 3 is the third distance, L 0 is a length distance of the pole piece image in a pole piece transporting direction, and the labeling delay is generated when the first camera completes collection of a next image of the pole piece mark hole image. 5 . The method according to claim 1 , wherein determining the labeling delay of the target pole piece according to the second distance, the camera frequency division parameter, the camera frequency multiplication parameter, and the visual detection precision comprises: calculating the labeling delay X according to a second formula, wherein the second formula is: X = ( L 2 * U ) / ( P * M ) , wherein L 2 is the second distance, U is the camera frequency division parameter, M is the camera frequency multiplication parameter, and P is the visual detection precision. 6 . The method according to claim 1 , wherein labeling the target pole piece according to the labeling delay comprises: controlling a labeling machine at the labeling position to label the target pole piece after the labeling delay, so that the target pole piece is cut according to the labeling in a winding stage of a cell. 7 . The method according to claim 1 , wherein detecting defects on the target pole piece according to the acquired pole piece images and obtaining the detection result comprises: determining whether a pole piece image showing a defect on the target pole piece is present among the acquired pole piece images; based on a determination that the pole piece image showing the defect on the target pole piece is present among the pole piece images, determining whether the pole piece image showing the defect on the target pole piece is the pole piece mark hole image; and based on a determination that the pole piece image showing the defect on the target pole piece is the pole piece mark hole image, generating the defect detection result according to a defect position of the defect in the pole piece mark hole image. 8 . The method according to claim 7 , wherein determining the defect detection result according to the defect position of the defect in the pole piece mark hole image comprises: determining whether a distance from the defect position to a first edge of the pole piece mark hole image is greater than a distance from the mark hole to the first edge, wherein the first edge is an image edge, close to a laser, of the pole piece mark hole image; based on a determination that the distance from the defect position to the first edge of the pole piece mark hole image is greater than the distance from the mark hole to the first edge, generating a defect detection result that the target pole piece has no defect and a previous pole piece of the target pole piece has a defect; and based on a determination that the distance from the defect position to the first edge of the pole piece mark hole image is not greater than the distance from the mark hole to the first edge, generating a defect detection result that the target pole piece has a defect. 9 . The method according to claim 7 , wherein after determining whether the pole piece image showing a defect on the target pole piece is present among the pole piece images, the method further comprises: based on a determination that the pole piece image showing a defect on the target polar piece is not present among the pole piece images, generating a defect detection result that the target pole piece has no defect. 10 . The method according to claim 7 , wherein after determining whether the pole piece image showing the defect on the target pole piece is the pole piece mark hole image, the method further comprises: based on a determination that the pole piece image shown the defect on the target pole piece is not the pole piece mark hole image, generating
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