A method for precise blending of tobacco in flat warehouses

Abstract

This invention relates to a precise blending method for tobacco in flat warehouses, belonging to the field of tobacco warehouse logistics technology. The method includes the following steps: Step 1: Manual grading; Step 2: Three-dimensional sampling; Step 3: Inputting basic tobacco leaf information, weighing, and printing primary labels; Step 4: Determining the nicotine grade range; Step 5: Online near-infrared chemical composition detection; Step 6: Transferring to warehouse and generating outbound details; Step 7: Sensory evaluation; Step 8: Determining module formulations; Step 9: Generating module blending stacking tables; Step 10: On-site precise blending; Step 11: Refining the nicotine content of the entire frame and secondary correction of individual frames; Step 12: Module assembly. This invention improves the tobacco leaf warehousing process by refining the nicotine content of the entire frame and secondary correction of individual frames based on the daily blending grade nicotine value, achieving precise blending of single grades and improving the accuracy of tobacco leaf blending modules.

Description

Technical Field

[0001] This invention belongs to the field of tobacco warehouse logistics technology, specifically relating to a method for precise proportioning of tobacco in flat warehouses. Background Technology

[0002] A cigarette product is composed of a dozen or even twenty different grades of tobacco leaves, each with a strict proportion. Currently, there are many varieties and grades of cigarette raw materials, and the purchase volume of each variety and grade of tobacco leaves is relatively large. The quality of tobacco leaves purchased at different times varies, and even tobacco leaves purchased at the same time can vary due to differences in climate, region, and planting methods. Currently, the tobacco leaf blending and production scheduling mainly involves randomly dispatching raw tobacco from the raw tobacco warehouse and processing it using a first-in, first-out (FIFO) method. This involves blending the tobacco leaves through three combinations: blending on the production line's leaf-laying platform, blending in the pre-lubrication storage cabinet, and blending in the post-threshing storage cabinet. This method does not take into account the differences in the inherent indicators of raw materials between batches; it simply randomly selects different batches for leaf-laying production, resulting in poor batch-to-batch formula accuracy and indirectly affecting the overall uniformity of the blended leaf production.

[0003] Therefore, this invention proposes a precise tobacco blending method for flat storage, and constructs a novel method for tobacco leaf blending. Summary of the Invention

[0004] The purpose of this invention is to provide a method for precise blending of tobacco leaves in a flat warehouse. This invention uses a near-infrared online analysis system in conjunction with a warehouse management system to manage tobacco materials through information technology. It also uses RFID fixed readers to automatically scan and statistically monitor tobacco leaf data. The tobacco leaves are graded and stored according to their nicotine information. Based on the daily blending ratio and nicotine value, the whole frame of nicotine is refined and the zero frame is corrected again, so as to achieve precise blending of single grades, improve the accuracy of the tobacco leaf blending module, and make the produced cigarettes taste more similar.

[0005] A precise blending method for tobacco warehouse management includes the following steps:

[0006] Step 1: Manual grading is carried out based on grading standards and actual tobacco leaf samples;

[0007] Step 2: Before chopping and coding, perform 3D sampling of a single frame of tobacco leaves.

[0008] Step 3: Enter the basic information of the tobacco leaves into the raw tobacco system client in advance, weigh them, supplement and improve the weight information, and print the primary label;

[0009] Step 4: Online near-infrared chemical composition pre-detection; based on the pre-detection results, determine the nicotine grade range for this level.

[0010] Step 5: Perform online near-infrared chemical composition detection on the sample;

[0011] Step 6: Scan the RFID tag of the cigarette frame to verify the cigarette information, click "Transfer Out of Warehouse" to generate outbound details;

[0012] Step 7: After a certain quantity of graded tobacco leaves of the same type has been stored, conduct a sensory quality assessment of the grade upon entry into the warehouse.

[0013] Step 8: Determine the module formulation based on the absorption evaluation results;

[0014] Step 9: Determine the batch ratio for each batch based on the processing capacity and process requirements of the leaf re-drying equipment, and break it down into a modular ratio stacking table.

[0015] Step 10: Based on the module ratio stacking table and the daily output, return the temporarily stored tobacco leaves from the warehouse to the production site for precise ratioing and read the tobacco leaf identification information;

[0016] Step 11: Compile and summarize the tobacco leaf grade information of the day's blend, and refine the whole frame nicotine content and make secondary corrections for the zero frame based on the nicotine value of each grade.

[0017] Step 12, module assembly.

[0018] Preferably, the specific process of the three-dimensional sampling in step 2 is as follows: when the frame flows to the feeding port for loading and weighing, the OPC server of the industrial control system starts to read the tobacco frame number. Before stacking the tobacco leaves and during the stacking of graded tobacco leaves, samples are taken from each layer of qualified graded tobacco leaves. During sampling, samples are taken from three sampling points on the left, middle and right. 3-5 leaves are sampled from each sampling point, and no less than 10 leaves are sampled from each layer of qualified tobacco leaves. The sampled tobacco leaves are placed in the sampling bag, and the tobacco leaves in the bag are kept consistent. During the sampling process, the progress of tobacco leaf feeding and stacking is kept consistent with the sampling progress.

[0019] 2. The method for precise blending of tobacco in a flat warehouse according to claim 1, characterized in that: the process in step 4 is to detect 200-300 nicotine data points in advance, and determine the high, medium and low nicotine grade ranges of this grade according to the normal distribution.

[0020] Preferably, the detection step in step 5 is as follows:

[0021] S1. Scan the electronic tags and generate a queue information table;

[0022] S2. Perform online near-infrared chemical composition detection according to the queue order. Spread the tobacco leaf samples to be tested evenly on the conveyor belt and perform detection under the near-infrared online analysis system (Brook MATRIX-E). Quickly determine the chemical composition of tobacco leaves, including nicotine, total sugar, reducing sugar, potassium oxide, chlorine, total nitrogen, and moisture, and record the results.

[0023] S3. Determine the nicotine grade based on the test results and the nicotine grade range;

[0024] S4. After the nicotine grade information is generated, the nicotine information labeling system is automatically triggered to print the secondary label.

[0025] Preferably, the specific process of step 6 is as follows: after the raw tobacco system confirms the start of the transfer, the RFID fixed reader is triggered to continuously scan the RFID electronic tags of the tobacco frames. The scanned tobacco frame information is automatically submitted to the raw tobacco system for data verification using the parity check method to verify whether the tobacco frame number is valid and whether the tobacco frame has undergone chemical testing and grading and weighing. After the verification is passed, the tobacco frame number and the corresponding tobacco leaf information are temporarily stored to generate a data list and outbound details.

[0026] Preferably, the evaluation process in step 7 involves sampling graded tobacco leaves of the same grading mode, variety, and origin, cutting and rolling single-material tobacco into shreds, conducting multiple rounds of sensory quality evaluation, and generating different modules based on the evaluation results.

[0027] Preferably, the module formulation in step 8 includes tobacco variety, origin, grade, nicotine grade, and single grade ratio.

[0028] Preferably, step 9, based on the module formula and combined with the processing capacity and process requirements of the leaf re-drying equipment, determines the batch ratio. The batch ratio for each grade is determined by using the weight of a single frame during graded production as the unit, and is decomposed into a ratio stacking form of whole frames plus individual frames. The specific steps are: calculating the batch ratio for each grade; calculating the ratio of a whole frame and the ratio of individual frames in units of a single frame; distinguishing the frame tobacco code by single grade for the whole frame, and combining individual frames according to the specific module, with appropriate weight reduction for multiple grades; finally, obtaining the quantity of whole frames and individual frames, and decomposing it into a module ratio stacking table.

[0029] Preferably, the specific process of step 10 is as follows: according to the issued tobacco supply plan, the tobacco in the warehouse temporary storage frame is read by the gantry and then returned to the production site for precise blending. X batches are produced on the same day. The amount of tobacco supplied for each grade = the blending amount per batch * X batches. The number of tobacco frames supplied for each grade = the amount of tobacco supplied for each grade / the weight of a single frame. The tobacco supply grade reads the tobacco leaf identity information by the gantry and automatically summarizes and synchronizes it to the OPC server.

[0030] Preferably, in step 11, based on the information of the tobacco leaves and nicotine data after sorting, the nicotine content of the single-grade tobacco leaves in the formula is refined for whole-frame nicotine and secondary correction for zero-frame nicotine. The grade is X batches of tobacco with N frames (rounded), and the weight of x whole frames and zero frames is calculated for each batch. The nicotine range of the grade is read (without a lower limit). The lowest nicotine value of N frames read by the OPC server is used to determine the nicotine range (a large range will affect the nicotine stability between batches, resulting in a large nicotine variation coefficient). In this way, the nicotine content of x whole frames in a single batch is refined, and those with lower nicotine content are assigned to zero-frame blends to reduce batch fluctuations caused by large differences in nicotine content per frame.

[0031] Preferably, the module assembly in step 12 is divided into two parts: whole frame ratio and zero frame ratio. The whole frame ratio is re-identified with nicotine grade and frame tobacco code according to the refined range, and arranged by batch and frame tobacco code. The zero frame ratio is to clarify the single frame ratio grade and ratio quantity, weigh and identify the frame tobacco code according to the ratio quantity, weigh the heavier one in batch order, print the label, and arrange it together with the whole frame ratio part according to batch and frame tobacco code.

[0032] The beneficial effects of this invention are:

[0033] This invention utilizes a near-infrared online analysis system in conjunction with a warehouse management system to manage tobacco materials through information technology. It also employs an RFID fixed reader to automatically scan and statistically monitor tobacco leaf data. The tobacco leaves are graded and stored according to their nicotine information. Based on the daily blending ratio and nicotine value, the whole-frame nicotine ratio is refined and the zero-frame ratio is corrected again, achieving precise blending of single grades. This improves the accuracy of the tobacco leaf blending module and makes the produced cigarettes taste more similar to the original. Attached Figure Description

[0034] Figure 1 Flowchart for establishing hierarchical identity information in this invention;

[0035] Figure 2 This is a flowchart illustrating the design and precise proportioning process of the formulation sheet for this invention.

[0036] Figure 3 This is a schematic diagram of the dynamic hierarchical mode of the present invention;

[0037] Figure 4 This is a normal distribution diagram of nicotine grades in this invention;

[0038] Figure 5 Example diagram of module recipe;

[0039] Figure 6 A stacking table for the Yunyan 116 VCO3S module. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of the invention clearer, the technical solutions of the invention will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0041] like Figures 1 to 5 As shown, a method for precise blending of tobacco in a flat warehouse includes the following steps:

[0042] Step 1: Manual grading is carried out based on grading standards and actual tobacco leaf samples.

[0043] In steps two and three, during preparation, operators pre-enter information such as the production line, variety, origin after sorting, grade after sorting, planting method, testing status, material description, material number, and curing season for the next batch of tobacco leaves into the original tobacco system client. After the empty frame's weight value from the first weighbridge stabilizes for three seconds, the tare weight is confirmed. When the frame moves to the discharge port, the dynamic grading mode is activated, and the OPC server of the industrial control system begins to read the frame number via an RFID fixed reader for temporary storage. Before stacking the tobacco leaves, the special sampling bags are checked for sturdiness and undamagedness. Qualified sampling bags are hung on the frames of the grade to be sampled. During stacking of graded tobacco leaves, samples are taken from each layer of qualified graded tobacco leaves. Sampling involves evenly spreading the tobacco leaves into the frame and taking samples from three sampling points: left, center, and right. Take 3-5 leaves at each sampling point, and at least 10 leaves from each layer of qualified tobacco leaves. The sampling quantity accounts for about 2% of the total quantity. Ensure the uniformity and accuracy of the sampling. Place the sampled tobacco leaves into the sampling bag, keeping the tobacco leaves in the bag consistent in length. After the tobacco leaves fill the frame, the operator presses the re-weighing confirmation button to confirm that the weight information of the frame has been generated. The raw tobacco system client obtains the tobacco frame weight information from the OPC server of the industrial control system in the workshop. The weight information is entered into the raw tobacco system client according to the tobacco frame number, and a primary label is printed and affixed to the tobacco frame. The primary label reserves a 60*30 mm space for nicotine-related information label.

[0044] Step 4: Select 2-3 tobacco leaves from 200-300 tobacco frames and use a near-infrared online analysis system (Brook MATRIX-E) to pre-detect chemical components, detect 200-300 nicotine data in advance, determine the high, medium and low nicotine levels based on the normal distribution of the nicotine data, and maintain the nicotine level information in the "Nicotinic Aspect Ratio Management" function.

[0045] Step 5: The data list obtains a data dictionary through interaction with the server. Clicking the RFID reader button starts scanning the electronic tags of the tobacco frames in sequence, loading the scanned RFID tags into the RFID list (multiple tags can be scanned). Long-pressing the RFID list allows modification and deletion. After scanning, the scanned list data is submitted to the server for data verification. The tobacco frame number must be within the system's management scope; otherwise, the user will be prompted with "XXX tobacco frame number does not exist, please verify and submit again!". Verification of whether the tobacco frame belongs to the batch awaiting chemical testing: The verification standard is that the tobacco frame must have completed the previous production process "grading and weighing"; otherwise, the user will be prompted with "XXX tobacco frame number has not been graded and weighed, please weigh it and submit again!". Verification of duplicate scanning: Verify whether the tobacco frame exists in the inspected / pending inspection queue. If it already exists, the user will be prompted with "XXX tobacco frame number already exists in the tobacco frame queue, please do not submit again!". All tobacco frame numbers submitted must pass verification for the submission to be considered successful. After successful verification, a queue information list of tobacco frames to be inspected is generated. The server associates the tobacco frame numbers with the tobacco leaf information established earlier on the mobile terminal. After the queue information table is generated, the samples are tested using a near-infrared online analysis system (Brook MATRIX-E). The tobacco leaf samples to be tested are taken out of the sampling bags by the bundling personnel and evenly spread onto the conveyor belt. The thickness of the tobacco leaves is uniform and moderate, avoiding gaps and centering the position to avoid abnormal test values. Each test takes about 40-50 seconds to quickly determine the chemical composition of tobacco leaves, including nicotine, total sugar, reducing sugar, potassium oxide, chlorine, total nitrogen, and moisture. The testing order of a single frame of tobacco leaves corresponds one-to-one with the tobacco frame queue information list, and the near-infrared online analysis system records the results.

[0046] The raw tobacco system management terminal connects to the near-infrared online analysis system via a chemical information interface after manual grading and a raw tobacco information feedback interface. The raw tobacco system management terminal calls the near-infrared online analysis system to obtain chemical information from the tobacco leaves detected after manual grading through the chemical information interface. After receiving and processing the chemical information, the raw tobacco system matches the chemical information with the tobacco frame information in the queue to be inspected according to the first-in, first-out (FIFO) principle. Based on the nicotine data, it determines the nicotine grade from the information maintained in the "Nicotinic Amount Management" function managed by the raw tobacco system, generating nicotine grade information. The tobacco frame information corresponding to the chemical information is then fed back to the near-infrared online analysis system through the raw tobacco information feedback interface for data management. In the early stages of new tobacco production, situations may arise where nicotine content has been detected but no corresponding nicotine grade is available. In such cases, the system will temporarily fill the nicotine grade with an empty string. The grade determination can be made based on the actual situation in the subsequent "Mobile Terminal - Grading Transfer and Outbound" function.

[0047] To meet the requirement of full coverage of paper labels after matching tobacco leaf information and nicotine information in the frame, the raw tobacco system client establishes a local WebService application to communicate with the raw tobacco system management terminal to obtain tobacco leaf information and nicotine grade information. This information is pushed to the nicotine information labeling system on the desktop client via the WebService application. Upon receiving the information, the raw tobacco system client automatically triggers the nicotine information labeling system to print labels. Each time the raw tobacco system client receives frame data from the raw tobacco system management terminal and executes printing, it adds a data entry to the data list on the interface. The list data is displayed in reverse chronological order of printing time. If no corresponding nicotine grade range is found in the system, the system cannot determine the nicotine grade, and the nicotine grade information will be printed as blank. The WebService local application can cache historical data list information locally for easy retrieval of historical information.

[0048] Step Six: Begin the handover. In the original tobacco system management interface, select the handover function to trigger the RFID fixed reader to continuously scan the RFID tags on the tobacco frames to achieve automatic warehousing verification. During the entire handover and warehousing process, the default control three-color yellow light will illuminate to alert on-site personnel that the current warehousing device is in the warehousing operation state. The scanned tobacco frame information is automatically submitted to the raw tobacco system management terminal for data verification: verifying the validity of the tobacco frame number and whether the tobacco frame has undergone chemical testing / grading and weighing. Upon successful verification, the raw tobacco system management terminal returns the tobacco leaf information corresponding to the tobacco frame number, generating a data list and outbound details. The data list includes serial number, submission time, RFID, nicotine content, nicotine grade, variety, post-grading origin, post-grading grade, planting method, net weight, and reason for any anomalies. The list data is displayed in reverse chronological order of submission time. Data that passes verification is displayed in black font, while abnormal data is highlighted in red. Upon successful verification, the three-color indicator light illuminates green for five seconds and then automatically turns off, indicating to on-site personnel that the current tobacco frame has been scanned and verified successfully. Verification failure... If an anomaly is triggered, the red light of the three-color indicator will illuminate and a buzzer will sound for an audible and visual alarm. A data entry will be added to the data list on the client interface, with the cause of the anomaly highlighted in red. If the cigarette box is within the reading range of the RFID fixed reader but the three-color indicator does not illuminate, it means that the RFID tag for the cigarette box has not been scanned. To avoid data omissions or affecting outbound operations, on-site operators can manually enter the cigarette box number and submit the data for that cigarette box. After completing the inbound plan, clicking the "Complete Plan" button will automatically redirect to the plan details interface, where users can view the differences between the plan and the actual outbound data. Data that has passed the verification and is outbound normally is displayed in black font, while batches with abnormal data that are stuck in the warehouse are highlighted in red font. Operators can then investigate and resolve the anomaly by identifying the cause.

[0049] Step 7: Professional evaluators sample graded tobacco leaves of the same type, variety, and origin, cut and roll single-material tobacco, and conduct multiple rounds of sensory quality evaluation. The evaluation results are used to generate upper, middle, lower, high-end, first-class, second-class, third-class, and final modules.

[0050] Step 8: Determine the specific module formula based on the smoking evaluation results and cigarette formula, such as... Figure 5 As shown, the module formula includes: variety, origin, grade, nicotine grade, and proportion of single grades.

[0051] Step Nine: Based on the module blending notification issued by the technical center according to the module formula, the client determines the batch blending quantity according to the processing capacity and process requirements of the leaf re-drying equipment, and decomposes it into a module blending stacking table. Assuming: considering the processing capacity and process requirements of the leaf re-drying equipment, the batch blending quantity is determined to be 8000kg, and the single-grade blending quantity is based on 440kg / frame (the single-frame stacking weight is 440kg during graded production), decomposed into a whole frame + individual frames blending stacking format. Specific steps are: 1. Calculate the batch blending quantity for each grade (grade ratio * 8000kg); 2. Calculate the whole frame blending quantity and individual frame blending quantity based on 440kg / frame; 3. The whole frame is distinguished by single-grade tobacco code (K1 to K4), and the individual frames (showing specific modules) are combined by grade with 300-400kg, with the weight appropriately reduced for multiple grades; 4. The final total is 20 frames (whole frames + individual frames).

[0052] Step 10: Based on the module blending and stacking table and the daily output, a tobacco delivery plan is issued. Temporarily stored tobacco leaves in the warehouse are returned to the production site for precise blending after their identification information is read via a gantry crane. Taking the example from Step 9 as an example: 100 batches are produced daily; the amount of tobacco delivered for each grade = blending amount per batch × 100 batches; the number of frames for each grade delivered = amount of tobacco delivered for each grade / 440kg (440kg per frame stack). The tobacco leaf identification information for each grade is read via the gantry crane and automatically summarized and synchronized to the OPC server.

[0053] Step 11: Compile and summarize the tobacco leaf grade information (variety, origin, grade, nicotine grade, nicotine value) for the day, and refine the whole frame nicotine content and make secondary corrections for the individual frames of tobacco leaves for each grade. Taking Zhaotong Zhaoyang CO3-Low (frame tobacco code: K4), which has the largest tobacco import volume, as an example: 100 batches of this grade of tobacco imports total 664 frames (rounded), with a single batch ratio of 6 whole frames + 279.3 kg of individual frames. The nicotine content for this grade is <2.5% (no lower limit). The lowest nicotine value among the 664 frames read by the OPC server was 1.49%, with a nicotine range of nearly 1.1% (a large range will affect the stability of nicotine between batches, resulting in a large coefficient of variation). Therefore, nicotine content was refined for the 6 whole frames per batch (600 whole frames in 100 batches). Meanwhile, frames with lower nicotine content were assigned to zero frames (63.5 whole frames in 100 batches, with the remaining 0.5 frames reserved for blending the next day) to reduce batch fluctuations caused by large differences in nicotine content per frame. The nicotine values ​​of the 664 frames were summarized, and the sample size for different intervals (to reduce the nicotine range, the maximum interval division unit was 0.2%) was calculated. The 6 whole frames for blending in a single batch were divided into 1, 2, 1, 2 (based on the summarized nicotine value distribution interval), corresponding to nicotine ranges D-1, D-2, D-3, and D-4, respectively. Because there are many critical values ​​within the interval, there may be a mismatch between the number of samples and the number of matching frames, requiring fine-tuning. For example, the initial interval for D-2 is [2.08, 2.24], totaling 208 frames, but only 200 frames for D-2 are needed for 100 batches. Therefore, fine-tuning is required: adjust 5 frames with an upper limit of 2.24 to D-3, and adjust 3 frames with a lower limit of 2.08 to D-1. The original interval for D-3 had 95 frames, and adding 5 frames brings it to 100 frames; the original interval for D-1 had 98 frames, and adding 3 frames brings it to 101 frames. The extra frame is further adjusted: adjust the lower limit of 1 frame to 1.98 to frame zero. The original interval for frame zero had 63 frames, and adding 1 frame brings it to 64 frames.

[0054] Step 12: Module assembly is divided into two parts: whole frame ratio and single frame ratio. The whole frame ratio is re-identified with nicotine grade and frame tobacco code according to the refined range, and arranged by batch and frame tobacco code. The single frame ratio is to clarify the single frame ratio grade and ratio quantity. The frame tobacco code is marked by weighing according to the ratio quantity. The heavier part is weighed in batch order, the label is printed, and it is placed together with the whole frame ratio part by batch and frame tobacco code. After the module assembly is completed, the leaves are pounded, re-dried and fed according to the assembly module.

[0055] The above detailed description is a further detailed explanation of the invention's purpose and technical solution. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and not to limit it. Although the present case has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications can still be made to the specific implementation of the present case or equivalent substitutions can be made to some technical features without departing from the spirit of the technical solution of the present case, and all such modifications and substitutions should be covered within the scope of the technical solution claimed in the present case.

Claims

1. A method for precise blending of tobacco in a flat warehouse, characterized in that, The precise proportioning method includes the following steps: Step 1: Manual grading is carried out based on grading standards and actual tobacco leaf samples; Step 2: Perform 3D pattern sampling of single-frame tobacco leaves before stacking; Step 3: Enter the basic information of the tobacco leaves into the raw tobacco system client in advance, weigh them, supplement and improve the weight information, and print the primary label; Step 4: Online near-infrared chemical composition pre-detection. Based on the pre-detection results, determine the nicotine grade range for this level. Specifically, detect 200-300 nicotine data points in advance and determine the high, medium, and low nicotine grade ranges for this level based on the normal distribution. Step 5: Perform online near-infrared chemical composition detection on the sample; Step 6: Scan the RFID tag of the cigarette frame to verify the cigarette information, click "Transfer to Warehouse" to generate warehouse details; Step 7: After a certain quantity of graded tobacco leaves of the same type has been stored, conduct a sensory quality assessment of the grade upon entry into the warehouse. Step 8: Determine the module formulation based on the absorption evaluation results; Step 9: Based on the processing capacity and technological requirements of the leaf-pounding and re-drying equipment, determine the batch ratio for each grade and decompose it into a modular ratio stacking table. Specifically, based on the modular formula and combined with the processing capacity and technological requirements of the leaf-pounding and re-drying equipment, determine the batch ratio for each grade. The ratio for each grade is based on the weight of a single frame during graded production, and is decomposed into a ratio stacking form of whole frames plus individual frames. This includes: calculating the batch ratio for each grade; calculating the ratio for a whole frame and the ratio for individual frames based on a single frame; differentiating the frame tobacco code by grade for the whole frame; combining individual frames by grade according to the specific module, with appropriate weight reduction for frames with multiple grades; and finally obtaining the quantity of whole frames and individual frames, decomposing it into a modular ratio stacking table. Step 10: Based on the module ratio stacking table and the daily output, return the temporarily stored tobacco leaves from the warehouse to the production site for precise ratioing and read the tobacco leaf identification information. Specifically, according to the issued tobacco delivery plan, the temporarily stored boxed tobacco leaves in the warehouse are read for tobacco leaf identification information through the gantry and then returned to the production site for precise ratioing. The daily production is X batches, the amount of tobacco delivered for each grade = the single batch ratio * X batches, the number of boxes delivered for each grade = the amount of tobacco delivered for each grade / the weight of a single box, and the tobacco leaf identification information for each grade is read through the gantry and automatically summarized and synchronized to the OPC server. Step 11: Summarize the tobacco grade information of the daily blend and refine the whole-frame nicotine content and make secondary corrections for the zero-frame content based on the nicotine value of each grade. Specifically, based on the tobacco leaf information and nicotine data after the batch is divided, refine the whole-frame nicotine content and make secondary corrections for the zero-frame content of each grade within the blend. The tobacco grade information includes the batch X of tobacco delivered on the day, the number of tobacco frames N delivered, the number of whole frames x in the blend of a single batch, and the weight of the zero frames. Read the nicotine range of that grade. The lowest nicotine value of N frames read by the OPC server determines that a small nicotine range will affect the nicotine stability between batches, resulting in a large nicotine variation coefficient. Therefore, refine the nicotine content of x whole frames in a single batch, and classify the lower nicotine content into zero-frame blends to reduce batch fluctuations caused by large differences in nicotine content in a single frame. Step 12, module assembly, is divided into two parts: whole frame ratio and zero frame ratio. The whole frame ratio is re-identified with nicotine grade and frame tobacco code according to the refined range, and arranged by batch and frame tobacco code. The zero frame ratio is to clarify the single frame ratio grade and ratio quantity. The frame tobacco code is marked by weighing according to the ratio quantity. The heavier components are weighed in batch order, labels are printed, and the components are placed together with the whole frame ratio part by batch and frame tobacco code.

2. The method for precise proportioning of tobacco in flat warehouses according to claim 1, characterized in that: The specific process of three-dimensional sampling described in step 2 is as follows: When the tobacco frames are transferred to the loading port for loading and weighing, the OPC server of the industrial control system begins to read the tobacco frame number. Before and during the stacking of tobacco leaves after sorting by grade, samples are taken from each layer of qualified tobacco leaves after sorting by grade. During sampling, samples are taken from three sampling points on the left, middle and right of the stacked tobacco leaves. 3-5 leaves are sampled from each sampling point, and no less than 10 leaves are sampled from each layer of qualified tobacco leaves. The sampled tobacco leaves are placed in the sampling bag, and the tobacco leaves in the bag are kept consistent in terms of the ends. During the sampling process, the progress of tobacco leaf loading and stacking is kept consistent with the sampling progress.

3. The method for precise blending of tobacco in flat warehouses according to claim 1, characterized in that: The detection steps in step 5 are as follows: S1. Scan the electronic tag and generate a queue information table; S2. Conduct online near-infrared chemical composition detection according to the queue order. Spread the tobacco leaf samples to be tested evenly on the conveyor belt and conduct detection under the near-infrared online analysis system to quickly determine the chemical composition of tobacco leaves, including nicotine, total sugar, reducing sugar, potassium oxide, chlorine, total nitrogen, and moisture, and record the results. S3. Determine the nicotine grade based on the test results and the nicotine grade range; S4. After the nicotine grade information is generated, the nicotine information labeling system is automatically triggered to print the secondary label.

4. The method for precise proportioning of tobacco in flat warehouses according to claim 1, characterized in that: The specific process of step 6 is as follows: after the raw tobacco system confirms the start of the transfer, the RFID fixed reader is triggered to continuously scan the RFID electronic tags of the tobacco frames. The scanned tobacco frame information is automatically submitted to the raw tobacco system for data verification using the parity check method. This verifies whether the tobacco frame number is valid and whether the tobacco frame has undergone chemical testing and grading and weighing. After the verification is passed, the tobacco frame number and the corresponding tobacco leaf information are temporarily stored, and a data list and outbound details are generated.

5. The method for precise proportioning of tobacco in flat warehouses according to claim 1, characterized in that: The evaluation process in step 7 involves sampling graded tobacco leaves of the same grading mode, variety, and origin, cutting and rolling single-material tobacco into shreds, conducting multiple rounds of sensory quality evaluation, and generating different modules based on the evaluation results.

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