CN113317548A - Threshing and redrying impurity removal device, method, equipment and medium - Google Patents
Threshing and redrying impurity removal device, method, equipment and medium Download PDFInfo
- Publication number
- CN113317548A CN113317548A CN202110651202.2A CN202110651202A CN113317548A CN 113317548 A CN113317548 A CN 113317548A CN 202110651202 A CN202110651202 A CN 202110651202A CN 113317548 A CN113317548 A CN 113317548A
- Authority
- CN
- China
- Prior art keywords
- tobacco leaves
- tobacco
- grabbing
- tobacco leaf
- detected
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
-
- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
- A24B3/00—Preparing tobacco in the factory
- A24B3/10—Roasting or cooling tobacco
-
- A—HUMAN NECESSITIES
- A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
- A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
- A24B3/00—Preparing tobacco in the factory
- A24B3/18—Other treatment of leaves, e.g. puffing, crimpling, cleaning
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application discloses threshing and redrying edulcoration device, method, equipment and medium, the device includes: the device comprises an acquisition device, a data processing unit and a tobacco leaf gripping device; the acquisition device is used for acquiring an image of the tobacco leaves to be detected on the conveyor belt and transmitting the image of the tobacco leaves to be detected to the data processing unit, and the position of the acquisition device relative to the conveyor belt is fixed; the data processing unit is used for identifying non-fundamental color tobacco leaves in the tobacco leaf image to be detected, identifying coordinates of the non-fundamental color tobacco leaves in the tobacco leaf image to be detected, calculating the grabbing time and grabbing direction of the tobacco leaf grabbing device according to the conveying speed and the coordinates of the conveying belt, and issuing grabbing instructions to the tobacco leaf grabbing device according to the grabbing time and the grabbing direction; the tobacco leaf grabbing device is used for grabbing tobacco leaves with non-basic colors according to the grabbing instructions. The tobacco leaf that this application can filter fast and get rid of on the conveyer belt non-primary color tobacco leaf for the tobacco leaf purity that arrives is higher.
Description
Technical Field
The application relates to the technical field of threshing and redrying, in particular to a threshing and redrying impurity removing device, method, equipment and medium.
Background
The existing threshing and redrying impurity removal is wind separation impurity removal and photoelectric impurity removal, and no method for removing impurities by using a mechanical arm exists. And aiming at tobacco leaves with non-basic colors, workers are arranged to select the tobacco leaves manually at present, and the manual selection effect is small due to the problem of visual fatigue.
The existing impurity removal mode can only remove non-tobacco substances, and no good impurity removal method exists at present for tobacco leaves with non-basic colors, such as mottled tobacco, steamed slices, ash hanging and the like in the tobacco leaves.
Disclosure of Invention
The application provides a threshing redrying edulcoration device, method, equipment and medium for can filter fast and get rid of the tobacco leaf of non-basic color on the conveyer belt, make the tobacco leaf purity that arrives higher.
In view of this, this application first aspect provides a threshing and redrying edulcoration device, the device includes: the device comprises an acquisition device, a data processing unit and a tobacco leaf gripping device;
the acquisition device is used for acquiring an image of tobacco leaves to be detected on the conveyor belt and transmitting the image of the tobacco leaves to be detected to the data processing unit, and the acquisition device is fixed relative to the conveyor belt;
the data processing unit is used for identifying non-fundamental color tobacco leaves in the tobacco leaf image to be detected, also used for identifying coordinates of the non-fundamental color tobacco leaves in the tobacco leaf image to be detected, calculating the grabbing time and grabbing direction of the tobacco leaf grabbing device according to the conveying speed of a conveying belt and the coordinates, and issuing grabbing instructions to the tobacco leaf grabbing device according to the grabbing time and the grabbing direction;
the tobacco leaf grabbing device is used for grabbing the tobacco leaves with the non-basic colors according to the grabbing instructions.
Optionally, the data processing unit is further configured to obtain shooting time of the image of the to-be-detected tobacco leaf including the non-base color tobacco leaf, and calculate the gripping time of the tobacco leaf gripping device according to the conveying speed of the conveying belt.
Optionally, the tobacco leaf gripping device is a mechanical arm, and the tobacco leaves with the non-basic color are gripped by a mechanical claw on the mechanical arm.
Optionally, the tobacco leaf gripping device is a suction device, so that when the suction device is close to the non-primary color tobacco leaves, the suction is activated, and when the non-primary color tobacco leaves are sucked, the suction is quickly cut off.
The second aspect of the application provides a threshing and redrying impurity removing method, which comprises the following steps:
acquiring images of tobacco leaves to be detected on a conveyor belt, wherein the positions of the conveyor belt in each image of the tobacco leaves to be detected are the same;
inputting the tobacco leaf image to be detected into a trained tobacco leaf detection model, and identifying tobacco leaves with non-basic colors;
calculating the coordinates of the tobacco leaves with the non-fundamental colors in the tobacco leaf image to be detected;
calculating the moving distance of the tobacco leaves containing the non-basic color according to the speed of the conveyor belt;
and grabbing the tobacco leaves with the non-basic colors according to the coordinates and the moving distance.
Optionally, the inputting the image of the tobacco leaf to be detected into a trained tobacco leaf detection model, and identifying a tobacco leaf with a non-basic color, before further comprising:
and acquiring a large number of images containing non-fundamental color tobacco leaves as training samples, and marking the non-fundamental color tobacco leaves for training the tobacco leaf detection model to obtain the trained tobacco leaf detection model.
Optionally, the calculating the coordinates of the non-base color tobacco leaves in the image of the tobacco leaves to be detected includes:
and calculating the coordinate of the non-primary color tobacco leaves in the image of the tobacco leaves to be detected relative to the conveyor belt according to the same position of the conveyor belt in each image of the tobacco leaves to be detected.
Optionally, the calculating the moving distance of the tobacco leaves containing the non-base color according to the speed of the conveyor belt includes:
and acquiring shooting time of the image of the tobacco leaves to be detected containing the non-primary color tobacco leaves, calculating the moving distance of the non-primary color tobacco leaves according to the speed of the conveyor belt, and determining the grabbing time.
The third aspect of the present application provides a threshing and redrying impurity removing device, the device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the steps of the threshing, redrying and impurity removing method according to the first aspect, according to instructions in the program code.
A fourth aspect of the present application provides a computer-readable storage medium for storing program code for performing the method of the first aspect.
According to the technical scheme, the method has the following advantages:
in this application, a threshing redrying edulcoration device is provided, include: the device comprises an acquisition device, a data processing unit and a tobacco leaf gripping device; the acquisition device is used for acquiring an image of the tobacco leaves to be detected on the conveyor belt and transmitting the image of the tobacco leaves to be detected to the data processing unit, and the position of the acquisition device relative to the conveyor belt is fixed; the data processing unit is used for identifying non-fundamental color tobacco leaves in the tobacco leaf image to be detected, identifying coordinates of the non-fundamental color tobacco leaves in the tobacco leaf image to be detected, calculating the grabbing time and grabbing direction of the tobacco leaf grabbing device according to the conveying speed and the coordinates of the conveying belt, and issuing grabbing instructions to the tobacco leaf grabbing device according to the grabbing time and the grabbing direction; the tobacco leaf grabbing device is used for grabbing tobacco leaves with non-basic colors according to the grabbing instructions.
According to the tobacco leaf picking device, tobacco leaf images containing fixed positions of the conveyor belt are collected, tobacco leaves with non-basic colors are recognized, the positions of the tobacco leaves with the non-basic colors relative to the conveyor belt are obtained, the picking time and the picking direction of the picking device are obtained by calculating the conveying distance of the tobacco leaves with the non-basic colors, the tobacco leaves with the non-basic colors in the tobacco leaves can be removed rapidly, and the tobacco leaves with higher purity are obtained.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a threshing, redrying and impurity removing device according to the present application;
FIG. 2 is a flow chart of an embodiment of a threshing, redrying, and cleaning method of the present application;
fig. 3 is a schematic structural diagram of an embodiment of a leaf redrying and impurity removing device according to the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a structural diagram of an embodiment of a threshing, redrying and impurity removing device according to the present application, as shown in fig. 1, fig. 1 includes:
the device comprises an acquisition device 1, a data processing unit 2 and a tobacco leaf gripping device 3;
the acquisition device 1 is used for acquiring an image of tobacco leaves to be detected on the conveyor belt and transmitting the image of the tobacco leaves to be detected to the data processing unit 2, and the position of the acquisition device relative to the conveyor belt is fixed;
it should be noted that the collecting device 1 may be a camera or other photographing equipment fixed in position relative to the conveyor belt 4, so that in each shot picture, the position and proportion of the conveyor belt are the same, and the coordinates of the tobacco leaves relative to the conveyor belt can be obtained according to the positions of the tobacco leaves in the picture. In addition, the photos acquired by the acquisition device 1 can be transmitted to the data processing unit 2, so that the data processing unit 2 can analyze and recognize the acquired photos.
The data processing unit 2 is used for identifying non-primary color tobacco leaves in the tobacco leaf image to be detected, identifying coordinates of the non-primary color tobacco leaves in the tobacco leaf image to be detected, calculating the grabbing time and grabbing direction of the tobacco leaf grabbing device according to the conveying speed and the coordinates of the conveying belt, and issuing grabbing instructions to the tobacco leaf grabbing device according to the grabbing time and the grabbing direction;
it should be noted that the data processing unit 2 may identify the non-fundamental color tobacco leaves in the tobacco leaf image to be detected, and specifically may identify the tobacco leaves through a trained tobacco leaf identification model. Wherein the tobacco leaf recognition model may be a common neural network model. And for the identified image of the tobacco leaves to be detected containing the tobacco leaves with the non-primary colors, calculating the coordinates of the tobacco leaves with the non-primary colors relative to the conveyor belt according to the positions of the tobacco leaves with the non-primary colors in the image of the tobacco leaves to be detected. In addition, the shooting time of the image of the tobacco leaves to be detected containing the tobacco leaves with non-basic colors and the conveying speed of the conveying belt can be obtained, and then the grabbing time can be calculated according to the distance from the tobacco leaves to the tobacco leaf grabbing device. Because there may be a delay in the process of acquiring the grasping instruction and the process of grasping the tobacco leaves, the grasping time can be corrected according to actual needs.
The tobacco leaf grabbing device 3 is used for grabbing tobacco leaves with non-basic colors according to the grabbing instructions.
It should be noted that the tobacco leaf grasping device 3 can grasp the tobacco leaves with non-primary colors according to the grasping instruction, the grasping instruction includes the grasping time and the coordinates of the tobacco leaves with non-primary colors relative to the conveyor belt, that is, the tobacco leaf grasping device can grasp the tobacco leaves with non-primary colors according to the grasping time and the coordinates of the tobacco leaves with non-primary colors relative to the conveyor belt.
According to the tobacco leaf picking device, tobacco leaf images containing fixed positions of the conveyor belt are collected, tobacco leaves with non-basic colors are recognized, the positions of the tobacco leaves with the non-basic colors relative to the conveyor belt are obtained, the picking time and the picking direction of the picking device are obtained by calculating the conveying distance of the tobacco leaves with the non-basic colors, the tobacco leaves with the non-basic colors in the tobacco leaves can be removed rapidly, and the tobacco leaves with higher purity are obtained.
In a specific embodiment, the tobacco gripping device is a mechanical arm, and the tobacco with the non-basic color is gripped by a mechanical claw on the mechanical arm.
The tobacco leaf grabbing device is a mechanical arm, the mechanical claw is arranged at the foremost end of the mechanical arm, and the mechanical claw is controlled to grab the position of the coordinate where the non-fundamental color tobacco leaves are located on the conveying belt through the obtained grabbing instruction, so that the non-fundamental color tobacco leaves are grabbed, and the grabbed non-fundamental color tobacco leaves can be quickly placed in the non-fundamental color tobacco leaf recycling bin outside the conveying belt.
In a particular embodiment, the tobacco leaf gripping means is a suction device such that when the suction device is adjacent to a non-keycolour tobacco leaf, the suction is activated and is rapidly switched off when the non-keycolour tobacco leaf is inhaled.
It should be noted that the tobacco leaf grabbing device may be a suction device, the tail end of the suction device is connected with the non-primary color tobacco leaf recovery warehouse, the front end of the suction device is a suction hole, when grabbing non-primary color tobacco leaves, the suction hole is firstly close to the tobacco leaves, when the grabbing time comes, the suction force is excited, the non-primary color tobacco leaves at the corresponding coordinates are sucked into the non-primary color tobacco leaf recovery warehouse, when the non-primary color tobacco leaves are sucked, the suction force is quickly cut off, and other primary color tobacco leaves are prevented from being sucked into the non-primary color tobacco leaf recovery warehouse.
The embodiment of this application threshing and redrying edulcoration device, this application still provide the embodiment of threshing and redrying edulcoration method, as shown in fig. 2, include in fig. 2:
201. acquiring images of tobacco leaves to be detected on a conveyor belt, wherein the positions of the conveyor belt in each image of the tobacco leaves to be detected are the same;
it should be noted that the image of the tobacco leaves to be detected with the position of the conveyor belt relatively fixed can be obtained, so that the position and the proportion of the conveyor belt are the same in the shot picture each time, and the coordinates of the tobacco leaves relative to the conveyor belt can be obtained according to the positions of the tobacco leaves in the picture.
202. Inputting the tobacco leaf image to be detected into a trained tobacco leaf detection model, and identifying tobacco leaves with non-basic colors;
it should be noted that the non-fundamental color tobacco leaves in the tobacco leaf image to be detected can be identified, and specifically, the non-fundamental color tobacco leaves can be identified through the trained tobacco leaf identification model. Wherein the tobacco leaf recognition model may be a common neural network model.
In a specific implementation mode, the method for identifying the non-base color tobacco leaves in the tobacco leaf detection model includes the following steps:
and acquiring a large number of images containing non-fundamental color tobacco leaves as training samples, and marking the non-fundamental color tobacco leaves for training the tobacco leaf detection model to obtain the trained tobacco leaf detection model.
The method includes the steps of obtaining a large number of image samples containing non-fundamental color tobacco leaves and normal fundamental color tobacco leaves, marking a marking square frame of the non-fundamental color tobacco leaves, dividing the marked samples into a training set and a testing set for training a constructed tobacco leaf detection model, and obtaining the trained tobacco leaf detection model.
203. Calculating the coordinates of tobacco leaves with non-fundamental colors in the tobacco leaf image to be detected;
it should be noted that, because the position of the conveyor belt of the obtained to-be-detected tobacco leaf image is relatively fixed, the position and the proportion of the conveyor belt are the same in each shot picture, and thus the coordinate of the tobacco leaf relative to the conveyor belt can be obtained according to the position of the tobacco leaf in the picture.
204. Calculating the moving distance of the tobacco leaves containing the non-basic color according to the speed of the conveyor belt;
it should be noted that the capturing time of the image of the tobacco leaves to be detected containing the tobacco leaves with non-primary colors and the conveying speed of the conveying belt can be obtained, and then the capturing time can be calculated according to the distance from the tobacco leaves to the tobacco leaf capturing device. Because there may be a delay in the process of acquiring the grasping instruction and the process of grasping the tobacco leaves, the grasping time can be corrected according to actual needs.
205. And grabbing the tobacco leaves with the non-basic colors according to the coordinates and the moving distance.
It should be noted that the non-keycolour tobacco leaves corresponding to the coordinates on the conveyor belt can be grabbed according to the coordinates of the non-keycolour tobacco leaves relative to the conveyor belt and the grabbing time obtained through calculation.
According to the tobacco leaf picking device, tobacco leaf images containing fixed positions of the conveyor belt are collected, tobacco leaves with non-basic colors are recognized, the positions of the tobacco leaves with the non-basic colors relative to the conveyor belt are obtained, the picking time and the picking direction of the picking device are obtained by calculating the conveying distance of the tobacco leaves with the non-basic colors, the tobacco leaves with the non-basic colors in the tobacco leaves can be removed rapidly, and the tobacco leaves with higher purity are obtained.
The application also provides threshing and redrying impurity removing equipment, as shown in fig. 3, the equipment comprises a processor and a memory: the memory is used for storing the program codes and transmitting the program codes to the processor; the processor is used for executing the embodiment of the threshing, redrying and impurity removing method according to the instructions in the program codes.
The application also provides a computer readable storage medium for storing program codes, and the program codes are used for executing the embodiment of the threshing, redrying and impurity removing method.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. The utility model provides a threshing redrying edulcoration device which characterized in that includes: the device comprises an acquisition device, a data processing unit and a tobacco leaf gripping device;
the acquisition device is used for acquiring an image of tobacco leaves to be detected on the conveyor belt and transmitting the image of the tobacco leaves to be detected to the data processing unit, and the acquisition device is fixed relative to the conveyor belt;
the data processing unit is used for identifying non-fundamental color tobacco leaves in the tobacco leaf image to be detected, also used for identifying coordinates of the non-fundamental color tobacco leaves in the tobacco leaf image to be detected, calculating the grabbing time and grabbing direction of the tobacco leaf grabbing device according to the conveying speed of a conveying belt and the coordinates, and issuing grabbing instructions to the tobacco leaf grabbing device according to the grabbing time and the grabbing direction;
the tobacco leaf grabbing device is used for grabbing the tobacco leaves with the non-basic colors according to the grabbing instructions.
2. The threshing, redrying and impurity removing device according to claim 1, wherein the data processing unit is further configured to obtain shooting time of the image of the tobacco leaf to be detected containing the non-primary color tobacco leaf, and calculate the grabbing time of the tobacco leaf grabbing device according to the conveying speed of the conveying belt.
3. The threshing, redrying and impurity removing device according to claim 1, wherein the tobacco leaf gripping device is a mechanical arm, and the tobacco leaves with non-primary color are gripped by a mechanical claw on the mechanical arm.
4. A threshing, redrying and edulcoration device according to claim 1 wherein the tobacco gripping means is a suction means such that suction is activated when the suction means is adjacent to the non-keycolour tobacco leaves and is rapidly switched off when the non-keycolour tobacco leaves are sucked.
5. A threshing and redrying impurity removing method is characterized by comprising the following steps:
acquiring images of tobacco leaves to be detected on a conveyor belt, wherein the positions of the conveyor belt in each image of the tobacco leaves to be detected are the same;
inputting the tobacco leaf image to be detected into a trained tobacco leaf detection model, and identifying tobacco leaves with non-basic colors;
calculating the coordinates of the tobacco leaves with the non-fundamental colors in the tobacco leaf image to be detected;
calculating the moving distance of the tobacco leaves containing the non-basic color according to the speed of the conveyor belt;
and grabbing the tobacco leaves with the non-basic colors according to the coordinates and the moving distance.
6. The threshing, redrying and impurity removing method according to claim 5, wherein the inputting the tobacco leaf image to be detected into a trained tobacco leaf detection model, and identifying tobacco leaves with non-basic color, before further comprising:
and acquiring a large number of images containing non-fundamental color tobacco leaves as training samples, and marking the non-fundamental color tobacco leaves for training the tobacco leaf detection model to obtain the trained tobacco leaf detection model.
7. The threshing, redrying and impurity removing method according to claim 5, wherein the calculating the coordinates of the non-primary color tobacco leaves in the image of the tobacco leaves to be detected comprises:
and calculating the coordinate of the non-primary color tobacco leaves in the image of the tobacco leaves to be detected relative to the conveyor belt according to the same position of the conveyor belt in each image of the tobacco leaves to be detected.
8. The threshing, redrying and impurity removing method according to claim 5, wherein the calculating the moving distance of the tobacco leaves containing the non-base color according to the speed of the conveyor comprises:
and acquiring shooting time of the image of the tobacco leaves to be detected containing the non-primary color tobacco leaves, calculating the moving distance of the non-primary color tobacco leaves according to the speed of the conveyor belt, and determining the grabbing time.
9. The utility model provides a threshing redrying edulcoration equipment which characterized in that, equipment includes treater and memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the threshing, redrying and impurity removing method of any one of claims 5 to 8 according to instructions in the program code.
10. A computer-readable storage medium for storing program code for performing the threshing and redrying dedust method of any one of claims 5-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110651202.2A CN113317548B (en) | 2021-06-10 | 2021-06-10 | Threshing and redrying impurity removal device, method, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110651202.2A CN113317548B (en) | 2021-06-10 | 2021-06-10 | Threshing and redrying impurity removal device, method, equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113317548A true CN113317548A (en) | 2021-08-31 |
| CN113317548B CN113317548B (en) | 2022-09-13 |
Family
ID=77420668
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110651202.2A Active CN113317548B (en) | 2021-06-10 | 2021-06-10 | Threshing and redrying impurity removal device, method, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113317548B (en) |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1990006819A1 (en) * | 1988-12-14 | 1990-06-28 | Gbe International Plc | Optical grading apparatus |
| RU2060017C1 (en) * | 1994-04-21 | 1996-05-20 | Кубанский государственный технологический университет | Apparatus for separating contaminants from leaf tobacco |
| US20030197126A1 (en) * | 1999-06-08 | 2003-10-23 | Japan Tobacco Inc. | Apparatus for detecting impurities in material and detecting method therefor |
| CN103084339A (en) * | 2012-12-28 | 2013-05-08 | 湖南中烟工业有限责任公司 | Free falling type tobacco leaf sorting device and tobacco leaf sorting method |
| CN203750849U (en) * | 2014-01-25 | 2014-08-06 | 湖南中烟工业有限责任公司 | Automated tobacco selection device for prime line |
| CN105817430A (en) * | 2016-03-29 | 2016-08-03 | 常熟理工学院 | Product detection method based on machine vision |
| CN106423908A (en) * | 2016-11-23 | 2017-02-22 | 合肥师范学院 | Rejecting control device for tobacco impurities |
| US20180100810A1 (en) * | 2016-10-10 | 2018-04-12 | Altria Client Services Llc | Method and system of detecting foreign materials within an agricultural product stream |
| CN107952696A (en) * | 2017-11-24 | 2018-04-24 | 中国科学院合肥物质科学研究院 | A kind of detection grading plant and detection method suitable for fresh tobacco leaf |
| CN109297969A (en) * | 2018-12-05 | 2019-02-01 | 上海庚葵贸易有限公司 | A kind of tobacco leaf assembly line method for detecting impurities and system |
| CN111838738A (en) * | 2020-08-13 | 2020-10-30 | 河南中烟工业有限责任公司 | Threshing and redrying impurity removal device and impurity removal method |
| CN111912850A (en) * | 2020-08-04 | 2020-11-10 | 南京文采工业智能研究院有限公司 | Slice cigarette debris detecting system based on artificial intelligence |
| CN111990677A (en) * | 2020-08-26 | 2020-11-27 | 中国烟草总公司郑州烟草研究院 | Threshing and redrying process based on automatic raw tobacco selection |
| CN112291547A (en) * | 2020-10-29 | 2021-01-29 | 浙江中烟工业有限责任公司 | Impurity removal system with image recognition function |
| CN112273704A (en) * | 2020-11-17 | 2021-01-29 | 云南中烟工业有限责任公司 | Recovered tobacco shred impurity removal device and method for removing impurities from recovered tobacco shreds |
| CN112577960A (en) * | 2020-12-07 | 2021-03-30 | 上海威士顿信息技术股份有限公司 | Method and system for detecting impurities in tobacco leaves and computer-readable storage medium |
-
2021
- 2021-06-10 CN CN202110651202.2A patent/CN113317548B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1990006819A1 (en) * | 1988-12-14 | 1990-06-28 | Gbe International Plc | Optical grading apparatus |
| RU2060017C1 (en) * | 1994-04-21 | 1996-05-20 | Кубанский государственный технологический университет | Apparatus for separating contaminants from leaf tobacco |
| US20030197126A1 (en) * | 1999-06-08 | 2003-10-23 | Japan Tobacco Inc. | Apparatus for detecting impurities in material and detecting method therefor |
| CN103084339A (en) * | 2012-12-28 | 2013-05-08 | 湖南中烟工业有限责任公司 | Free falling type tobacco leaf sorting device and tobacco leaf sorting method |
| CN203750849U (en) * | 2014-01-25 | 2014-08-06 | 湖南中烟工业有限责任公司 | Automated tobacco selection device for prime line |
| CN105817430A (en) * | 2016-03-29 | 2016-08-03 | 常熟理工学院 | Product detection method based on machine vision |
| US20180100810A1 (en) * | 2016-10-10 | 2018-04-12 | Altria Client Services Llc | Method and system of detecting foreign materials within an agricultural product stream |
| CN106423908A (en) * | 2016-11-23 | 2017-02-22 | 合肥师范学院 | Rejecting control device for tobacco impurities |
| CN107952696A (en) * | 2017-11-24 | 2018-04-24 | 中国科学院合肥物质科学研究院 | A kind of detection grading plant and detection method suitable for fresh tobacco leaf |
| CN109297969A (en) * | 2018-12-05 | 2019-02-01 | 上海庚葵贸易有限公司 | A kind of tobacco leaf assembly line method for detecting impurities and system |
| CN111912850A (en) * | 2020-08-04 | 2020-11-10 | 南京文采工业智能研究院有限公司 | Slice cigarette debris detecting system based on artificial intelligence |
| CN111838738A (en) * | 2020-08-13 | 2020-10-30 | 河南中烟工业有限责任公司 | Threshing and redrying impurity removal device and impurity removal method |
| CN111990677A (en) * | 2020-08-26 | 2020-11-27 | 中国烟草总公司郑州烟草研究院 | Threshing and redrying process based on automatic raw tobacco selection |
| CN112291547A (en) * | 2020-10-29 | 2021-01-29 | 浙江中烟工业有限责任公司 | Impurity removal system with image recognition function |
| CN112273704A (en) * | 2020-11-17 | 2021-01-29 | 云南中烟工业有限责任公司 | Recovered tobacco shred impurity removal device and method for removing impurities from recovered tobacco shreds |
| CN112577960A (en) * | 2020-12-07 | 2021-03-30 | 上海威士顿信息技术股份有限公司 | Method and system for detecting impurities in tobacco leaves and computer-readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113317548B (en) | 2022-09-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9789517B2 (en) | Selective sorting method | |
| US9789518B2 (en) | Fruits sorting apparatus and fruits sorting method | |
| CN105817422B (en) | Automatic collection based on robot puts courier packages' information system and its method at random | |
| CN104326301B (en) | Defective tag automatic removing device and system using automatic removing device | |
| US10755134B2 (en) | Generation of training data for object-sorting work based on a difference between feature amounts of captured object images | |
| CN109092696A (en) | Sorting system and method for sorting | |
| CN112893159B (en) | Coal gangue sorting method based on image recognition | |
| CN104256882B (en) | Based on reconstituted tobacco ratio measuring method in the pipe tobacco of computer vision | |
| CN108470255B (en) | Workload statistical method and device, storage medium and computing equipment | |
| CN104326125B (en) | Flaw label tracking and device | |
| US20170035069A1 (en) | Shrimp processing system and methods | |
| CN107944342A (en) | A kind of scrapper conveyor abnormal state detection system based on machine vision | |
| CN113317548B (en) | Threshing and redrying impurity removal device, method, equipment and medium | |
| CN114694064A (en) | Graph cutting method and system based on target identification | |
| CN206882193U (en) | A kind of fish sorting equipment | |
| CN114372991A (en) | Method and device for collecting and matching X-ray images of articles in security inspection process | |
| CN114402362A (en) | Fish counting system, fish counting method, and program | |
| CN204759438U (en) | Two -dimensional code printing product examine article machine | |
| CN207371892U (en) | A kind of carton detecting system | |
| CN102298695B (en) | Visual analyzing and processing method for detecting paper money bundle | |
| CN113560213A (en) | Sorting error alarm method and system for real-time monitoring of sorting machine | |
| CN208805156U (en) | A kind of battery on-line measuring device based on machine vision technique | |
| CN108230349A (en) | A kind of sorter's working specification detection method based on video analysis | |
| CN113317547B (en) | Steam impurity removal device, method and equipment in threshing and redrying processes | |
| CN110376194A (en) | Automatic trace explosive detection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |