A method for tracing tobacco debris

Abstract

This invention provides a method for tracing tobacco leaf impurities, comprising: marking each tobacco bale with a sequence number; setting up a static scale between the unpacking and slicing processes to detect the weight of each bale; and setting up a belt scale between the slicing and rehydration processes to detect the weight of each slice; controlling the flow rate of tobacco leaves into the downstream rehydration and photoelectric impurity removal processes based on the weights of each bale and slice; constructing a stack queue based on the transit time of the tobacco leaves through the slicing, rehydration, intermediate, and photoelectric impurity removal processes; and determining the current bale sequence number in the photoelectric impurity removal process based on the stack queue information; and reporting the impurity information to a server based on the impurity removal results of the photoelectric impurity removal process and the current bale sequence number to form an impurity traceability record. This invention can enhance the source control of tobacco leaves and improve the quality of tobacco products.

Description

Technical Field

[0001] This invention relates to the technical field of tobacco leaf debris traceability, and more particularly to a method for tracing tobacco leaf debris. Background Technology

[0002] Tobacco impurity removal is a crucial step in cigarette manufacturing, primarily aimed at removing various foreign objects mixed in with the tobacco leaves to prevent them from affecting the smoking experience. Items such as feathers, plastics, and rubber produce irritating gases when burned, severely impacting tobacco quality and requiring photoelectric removal. Currently, after removal, these foreign objects are collected in recycling bins for centralized screening, making traceability and effective control difficult. Therefore, determining the origin of impurities based on their identification time is of significant importance, providing a reliable basis for upstream tobacco impurity control. Summary of the Invention

[0003] This invention provides a method for tracing tobacco leaf impurities, which solves the problem of difficulty in tracing and effectively controlling impurities after they have been removed from tobacco leaves in the existing cigarette production process. This method can enhance the source control of tobacco leaves and improve the quality of tobacco products.

[0004] To achieve the following objectives, the present invention provides the following technical solutions:

[0005] A method for tracing tobacco leaf debris includes:

[0006] Each tobacco pack is marked with a sequence number. A static scale is set up between the unpacking and slicing processes to detect the weight of each tobacco pack. A belt scale is set up between the slicing and rehydration processes to detect the weight of each slice.

[0007] Based on the weight of each tobacco bale and each slice, the tobacco leaves are conveyed into the downstream rehumidification process and photoelectric impurity removal process with a constant flow rate.

[0008] A stack queue is constructed based on the passage time of tobacco leaves through the slicing process, rehydration process, intermediate process, and photoelectric impurity removal process, and the current tobacco bale sequence number of the photoelectric impurity removal process is determined based on the stack queue information;

[0009] Based on the results of the photoelectric cleaning process, and combined with the current cigarette pack sequence number, the debris information is reported to the server to form a debris traceability record.

[0010] Preferably, determining the current cigarette pack sequence number in the photoelectric cleaning process based on the stack queue information includes: calculating the current cigarette pack sequence number n through the photoelectric cleaning process according to the following formula:

[0011]

[0012] In the formula, F is the tobacco leaf flow rate of the belt scale, T is the cumulative amount of tobacco leaves on the belt scale, and t is the total amount of tobacco leaves on the belt scale.i Let g be the time for the tobacco leaves to pass through in the i-th process. n Let be the net weight of the nth cigarette pack, and let photoelectric impurity removal be the jth process.

[0013] Preferably, determining the current cigarette pack sequence number for the photoelectric cleaning process based on the stack queue information further includes:

[0014] The probability of impurities appearing in the nth cigarette pack during the impurity removal process is calculated. If the probability of the impurity belonging to the nth cigarette pack is greater than a set threshold, then the nth cigarette pack is determined to contain impurities.

[0015] Preferably, determining the current cigarette pack sequence number for the photoelectric cleaning process based on the stack queue information further includes:

[0016] The probability calculation formula is as follows:

[0017]

[0018]

[0019]

[0020] P1 = P0 + P1;

[0021] In the formula, m j The position of the tobacco leaf in the flow stack as it passes through the rejection port, where m is the number of stacks occupied by the tobacco bale. n1 Let t be the starting position of the stack for the nth cigarette pack. c P is the sampling interval of the flow stack. n Let be the probability that the miscellaneous item belongs to the nth cigarette pack.

[0022] Preferably, the step of constructing a stack queue based on the transit time of tobacco leaves through the slicing process, the rehydration process, the intermediate process, and the photoelectric impurity removal process includes:

[0023] The photoelectric impurity removal process, intermediate process, rehydration process, and slicing process are respectively corresponding to the flow stacks of the nth, n+1th, n+2th, and n+3th tobacco packs, and the number of flow stacks constructed in each process is equal.

[0024] Preferably, the stack queue is in a first-in, first-out (FIFO) mode.

[0025] Preferred options also include:

[0026] An image acquisition system is set up at the photoelectric impurity removal process to acquire images of tobacco leaves on the conveyor belt, and to intelligently identify impurities based on the acquired tobacco leaf images.

[0027] The industrial control computer controls the pneumatic nozzles to blow away the debris based on the intelligent identification results of the debris, and stores the debris information and production data.

[0028] Preferably, the image acquisition system includes: a high-definition camera, a light source, a reflector, and an image processing device;

[0029] The image processing device is connected to the high-definition camera and is used to perform image processing and debris identification on the image of sliced ​​tobacco leaves captured by the high-definition camera on the conveyor belt.

[0030] The light source is set at a predetermined position on the conveyor belt, and the reflector is tilted above the light source so that the high-definition camera can capture images of the sliced ​​tobacco leaves on the conveyor belt through the reflector.

[0031] This invention provides a method for tracing tobacco leaf impurities. Each tobacco bale is marked with a sequence number. Tobacco leaf transport is controlled at a constant flow rate based on bale weight and slice weight. A stack queue of the tobacco leaf's transit time through each process is constructed. The sequence number of the tobacco bale corresponding to the impurity is determined based on the stack queue information, thus forming an impurity traceability record. This method solves the problem of difficulty in tracing and effectively controlling impurities after they have been removed from tobacco leaves in existing cigarette production processes. It enhances source control of tobacco leaves and improves the quality of tobacco products. Attached Figure Description

[0032] To more clearly illustrate the specific embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below.

[0033] Figure 1 This is a schematic diagram of a method for tracing tobacco debris provided by the present invention.

[0034] Figure 2 This is a schematic diagram of a stack queue structure provided in an embodiment of the present invention.

[0035] Figure 3 This is a schematic diagram of a tobacco leaf debris image recognition system provided in an embodiment of the present invention. Detailed Implementation

[0036] To enable those skilled in the art to better understand the embodiments of the present invention, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and implementation methods.

[0037] To address the current problem of lack of traceability and effective control over tobacco leaf debris, this invention provides a method for tracing tobacco leaf debris. This method solves the problem of difficulty in tracing and effectively controlling debris after it has been removed from tobacco leaves during the existing cigarette production process. It can enhance source control of tobacco leaves and improve the quality of tobacco products.

[0038] like Figure 1As shown, a method for tracing tobacco leaf debris includes:

[0039] S1: Mark each tobacco pack with a sequence number, set up a static scale between the unpacking process and the slicing process to detect the weight of each tobacco pack, and set up a belt scale between the slicing process and the re-moistening process to detect the weight of each slice;

[0040] S2: Based on the weight of each tobacco bale and each slice, the tobacco leaves are conveyed into the downstream rehumidification process and photoelectric impurity removal process at a constant flow rate.

[0041] S3: Construct a stack queue based on the transit time of tobacco leaves through the slicing process, rehydration process, intermediate process, and photoelectric impurity removal process, and determine the current tobacco bale sequence number of the photoelectric impurity removal process based on the stack queue information;

[0042] S4: Based on the impurity removal results of the photoelectric impurity removal process, and combined with the current cigarette pack sequence number, the impurity information is reported to the server to form an impurity traceability record.

[0043] In practical applications, the initial processes in a tobacco processing workshop mainly include unpacking, slicing, rehydration, and photoelectric impurity removal. During these initial processes, the tobacco leaves are distributed relatively evenly to the later stages according to the order in which the tobacco bales enter the production line. After the outer packaging of the complete tobacco bales is removed by a robotic arm, they are weighed on a static scale, then cut into several pieces by a slicing machine. After being weighed by a belt scale, they are sent to the later stages, such as rehydration, at a constant flow rate. Since the direction of tobacco leaf transport is unique, a stack queue can be formed based on the weight of the tobacco bales, the flow rate of the belt scale, and the transit time of the tobacco leaves in each process. In one embodiment, the stack queue is as follows: Figure 2 As shown, a stack model of tobacco leaf distribution is introduced. By using a static scale for unpacking and a belt scale for re-moistening, the distribution of tobacco leaf information on the production line is dynamically simulated. Combined with the debris information provided by the intelligent debris identification system, the source of debris can be traced after the debris is removed, providing a reliable basis for further strengthening source control.

[0044] Furthermore, determining the current cigarette pack sequence number in the photoelectric cleaning process based on the stack queue information includes: calculating the current cigarette pack sequence number n through the photoelectric cleaning process according to the following formula:

[0045]

[0046] In the formula, F is the tobacco leaf flow rate of the belt scale, T is the cumulative amount of tobacco leaves on the belt scale, and t is the total amount of tobacco leaves on the belt scale. i Let g be the time for the tobacco leaves to pass through in the i-th process. n Let be the net weight of the nth cigarette pack, and let photoelectric impurity removal be the jth process.

[0047] Since debris may also appear in the middle of the flow stack of two packs of cigarettes, it is very likely to be misclassified if it is always attributed to a certain pack.

[0048] Furthermore, determining the current cigarette pack sequence number for the photoelectric cleaning process based on the stack queue information also includes:

[0049] The probability of impurities appearing in the nth cigarette pack during the impurity removal process is calculated. If the probability of the impurity belonging to the nth cigarette pack is greater than a set threshold, then the nth cigarette pack is determined to contain impurities.

[0050] Furthermore, the step of determining the current cigarette pack sequence number for the photoelectric cleaning process based on the stack queue information also includes:

[0051] The probability calculation formula is as follows:

[0052]

[0053]

[0054]

[0055] P1 = P0 + P1;

[0056] In the formula, m j The position of the tobacco leaf in the flow stack as it passes through the rejection port, where m is the number of stacks occupied by the tobacco bale. n1 Let t be the starting position of the stack for the nth cigarette pack. c P is the sampling interval of the flow stack. n Let be the probability that the miscellaneous item belongs to the nth cigarette pack.

[0057] The method of constructing a stack queue based on the transit time of tobacco leaves through the slicing process, rehydration process, intermediate process, and photoelectric impurity removal process includes:

[0058] The photoelectric impurity removal process, intermediate process, rehydration process, and slicing process are respectively corresponding to the flow stacks of the nth, n+1th, n+2th, and n+3th tobacco packs, and the number of flow stacks constructed in each process is equal.

[0059] Furthermore, the stack queue operates in a first-in, first-out (FIFO) mode.

[0060] The method also includes: setting up an image acquisition system at the photoelectric impurity removal process to acquire images of the tobacco leaves on the conveyor belt, and performing intelligent impurity identification based on the acquired tobacco leaf images. The industrial control computer controls pneumatic nozzles to blow off the impurities based on the intelligent impurity identification results, and stores the impurity information and production data.

[0061] like Figure 3As shown, the image acquisition system includes: a high-definition camera 1, a light source 5, a reflector 2, and an image processing device 4. The image processing device is signal-connected to the high-definition camera 1 and is used to perform image processing and debris identification on the images of the sliced ​​tobacco leaves captured by the high-definition camera on the conveyor belt. The light source 5 is positioned at a predetermined location on the conveyor belt, and the reflector 2 is tilted above the light source, allowing the high-definition camera to capture images of the sliced ​​tobacco leaves on the conveyor belt through the reflector.

[0062] In practical applications, such as Figure 3 As shown, after the tobacco leaves enter the impurity removal machine, they are spread thin by the high-speed belt and pass through the camera relatively evenly. The high-definition camera 1 takes pictures of the impurities, and the image processing device 4 performs image processing and intelligent recognition. Then, the nozzle 3 is activated to knock off the impurities and sends the impurity information to the upper-level server. The impurities are then traced in combination with the production process data.

[0063] As can be seen, the present invention provides a method for tracing tobacco leaf debris, which marks each tobacco bale with a sequence number, controls the tobacco leaf transport at a constant flow rate based on the weight of the tobacco bale and the weight of the slices, constructs a stack queue of the passage time of the tobacco leaves through each process, and determines the sequence number of the tobacco bale corresponding to the debris based on the stack queue information, thereby forming a debris traceability record. It solves the problem of difficulty in tracing and effectively controlling debris after it has been removed from tobacco leaves in the existing cigarette production process, which can enhance the source control of tobacco leaves and improve the quality of tobacco leaf products.

[0064] The structure, features, and effects of the present invention have been described in detail above with reference to the embodiments shown in the figures. The above description is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the figures. Any changes made in accordance with the concept of the present invention, or equivalent embodiments modified to have equivalent changes, shall be within the protection scope of the present invention as long as they do not exceed the spirit covered by the specification and figures.

Claims

1. A method for tracing tobacco leaf debris, characterized in that, include: Each tobacco pack is marked with a sequence number. A static scale is set up between the unpacking and slicing processes to detect the weight of each tobacco pack. A belt scale is set up between the slicing and rehydration processes to detect the weight of each slice. Based on the weight of each tobacco bale and each slice, the tobacco leaves are conveyed into the downstream rehumidification process and photoelectric impurity removal process with a constant flow rate. A stack queue is constructed based on the passage time of tobacco leaves through the slicing process, rehydration process, intermediate process, and photoelectric impurity removal process, and the current tobacco bale sequence number of the photoelectric impurity removal process is determined based on the stack queue information; Based on the results of the photoelectric cleaning process, and combined with the current cigarette pack sequence number, the debris information is reported to the server to form a debris traceability record; The step of determining the current cigarette pack sequence number in the photoelectric cleaning process based on the stack queue information includes: calculating the current cigarette pack sequence number n in the photoelectric cleaning process according to the following formula: ； In the formula, F is the tobacco leaf flow rate of the belt scale, T is the cumulative amount of tobacco leaves on the belt scale, and t is the total amount of tobacco leaves on the belt scale. i Let g be the time for the tobacco leaves to pass through in the i-th process. n Let n be the net weight of the nth cigarette pack, and photoelectric impurity removal be the jth process. The step of determining the current cigarette pack sequence number for the photoelectric cleaning process based on the stack queue information also includes: The probability of impurities appearing in the nth cigarette pack after the impurity removal process is calculated. If the probability of the impurity belonging to the nth cigarette pack is greater than a set threshold, then it is determined that the nth cigarette pack contains impurities. The step of determining the current cigarette pack sequence number for the photoelectric cleaning process based on the stack queue information also includes: The probability calculation formula is as follows: ； ； ； ； In the formula, m j The position of the tobacco leaf in the flow stack as it passes through the rejection port, where m is the number of stacks occupied by the tobacco bale. n1 Let t be the starting position of the stack for the nth cigarette pack. c P is the sampling interval of the flow stack. n Let be the probability that the miscellaneous item belongs to the nth cigarette pack.

2. The method for tracing tobacco leaf debris according to claim 1, characterized in that, The method of constructing a stack queue based on the transit time of tobacco leaves through the slicing process, rehydration process, intermediate process, and photoelectric impurity removal process includes: The photoelectric impurity removal process, intermediate process, rehydration process, and slicing process are respectively corresponding to the flow stacks of the nth, n+1th, n+2th, and n+3th tobacco packs, and the number of flow stacks constructed in each process is equal.

3. The method for tracing tobacco leaf debris according to claim 2, characterized in that, The stack queue operates on a first-in, first-out (FIFO) model.

4. The method for tracing tobacco leaf debris according to claim 3, characterized in that, Also includes: An image acquisition system is set up at the photoelectric impurity removal process to acquire images of tobacco leaves on the conveyor belt, and to intelligently identify impurities based on the acquired tobacco leaf images. The industrial control computer controls the pneumatic nozzles to blow away the debris based on the intelligent identification results of the debris, and stores the debris information and production data.

5. The method for tracing tobacco leaf debris according to claim 4, characterized in that, The image acquisition system includes: a high-definition camera, a light source, a reflector, and an image processing device; The image processing device is connected to the high-definition camera and is used to perform image processing and debris identification on the image of sliced ​​tobacco leaves captured by the high-definition camera on the conveyor belt. The light source is set at a predetermined position on the conveyor belt, and the reflector is tilted above the light source so that the high-definition camera can capture images of the sliced ​​tobacco leaves on the conveyor belt through the reflector.

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