Tobacco leaf aging quality control method, system, medium and electronic equipment

Abstract

The invention provides a tobacco leaf aging quality control method, system, medium and electronic equipment; the method comprises the following steps: matching a target storage strategy for incoming tobacco leaf raw materials to maintain the incoming tobacco leaf raw materials according to the target storage strategy; obtaining maintenance data of the incoming tobacco leaf raw materials during the maintenance process; evaluating the aging quality of the incoming tobacco leaf raw materials based on the maintenance data; and issuing an early warning when the aging quality meets the early warning condition to achieve control of the aging quality of the incoming tobacco leaf raw materials; the invention is based on the support of automatic data acquisition technology, and through automatic data acquisition, data analysis, early warning push, auxiliary decision-making, execution control, etc., realizes tobacco leaf maintenance quality evaluation and risk prevention and control; ensures the whole process control of tobacco leaf raw materials in warehouse maintenance, realizes the transformation of tobacco leaf maintenance process from risk remediation to risk early warning, can effectively reduce the quality risk of tobacco leaves in warehouse, reduce the tangible loss of tobacco leaf raw materials in warehouse, grasp the aging process of tobacco leaf raw materials, and improve the aging quality of tobacco leaves.

Description

Technical Field

[0001] The invention belongs to the field of tobacco leaf aging quality control, and in particular relates to a tobacco leaf aging quality control method, system, medium and electronic equipment. Background Art

[0002] Existing technologies or processes mainly use human subjective judgment to evaluate the quality of tobacco leaves during the aging and curing process. During the aging and curing process of tobacco leaves, quality control mainly relies on manual identification of indicators such as time, environmental temperature and humidity, tobacco leaf color changes, smell, and taste. It has a heavy empirical component and a coarse granularity of quality standards. It can guide the curing process to a certain extent, but it has a large subjective component and it is difficult to form an evaluation quantitative system. Whenever there is a lot of human intervention in technical work, it is difficult to reach a consensus on its differences. For example, in terms of storage time, raw material category, variety grade, aging time, and temperature control, while maintaining a unified standard, the smell and taste of tobacco leaves are obviously different in different environments and workers. This is because, although there are standard requirements in the main links, everyone has subtle differences in the way they control different external factors. At the same time, the detailed differences involved in the regulation and control of tobacco leaves in storage are difficult to discover and refine manually. Summary of the invention

[0003] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a tobacco aging quality control method, system, medium and electronic equipment to solve the problem that the existing manual tobacco quality control technology has differences for different environments and workers.

[0004] To achieve the above-mentioned purpose and other related purposes, the present invention provides a tobacco leaf aging quality control method, comprising the following steps: matching a target storage strategy for incoming tobacco leaf raw materials, so as to maintain the incoming tobacco leaf raw materials according to the target storage strategy; obtaining the maintenance data of the incoming tobacco leaf raw materials during the maintenance process; evaluating the aging quality of the incoming tobacco leaf raw materials based on the maintenance data; and issuing an early warning when the aging quality meets the early warning condition, so as to control the aging quality of the incoming tobacco leaf raw materials.

[0005] In one embodiment of the present invention, before the step of matching the target storage strategy for the incoming tobacco raw materials, the method further includes the following steps: constructing a tobacco aging strategy library to match the target storage strategy for the incoming tobacco raw materials from the tobacco aging strategy library; wherein, constructing the tobacco aging strategy library includes the following steps: obtaining the quantitative influence degree corresponding to each warehouse; the influence degree refers to the influence degree of the warehouse on the tobacco aging quality; obtaining the quantitative storage characteristics corresponding to each type of tobacco raw materials; constructing the tobacco aging strategy library based on the influence degree and the storage characteristics; the content of the tobacco aging strategy library includes at least any one of the following: storage time, census cycle, self-inspection cycle, pest control plan, insect inspection and accumulated temperature and humidity treatment method.

[0006] In one embodiment of the present invention, the maintenance data includes at least any one of the following: first data collected by a collection device and second data collected manually; wherein, the first data includes at least any one of the following: temperature data, humidity data, oxygen data and phosphine data; the second data includes at least any one of the following: sensory data, moisture data, chemical composition analysis data and absorption evaluation data.

[0007] In one embodiment of the present invention, the step of evaluating the aging quality of the incoming tobacco raw materials based on the maintenance data comprises the following steps: determining the type of quality anomaly corresponding to the incoming tobacco raw materials based on the maintenance data; evaluating the aging quality according to the type of quality anomaly; the evaluation formula of the aging quality is:

[0008]

[0009] Wherein, Z represents the alcoholization mass; a i b represents the scoring coefficient of the i-th type of quality anomaly; i It represents the weight of the impact of the i-th quality anomaly on the quality of tobacco raw materials; the value of i ranges from 1 to n; and n represents the total number of types of quality anomalies corresponding to the incoming tobacco raw materials.

[0010] In one embodiment of the present invention, when the alcoholization quality meets the warning condition, the warning includes the following steps: when the alcoholization quality meets the warning condition, according to the alcoholization quality, a warning scheme is selected from the warning rules for warning; the warning rules include at least one warning scheme.

[0011] The present invention provides a tobacco leaf aging quality control system, comprising: a matching module, an acquisition module, an evaluation module and an early warning module; the matching module is used to match a target storage strategy for incoming tobacco leaf raw materials, so as to maintain the incoming tobacco leaf raw materials according to the target storage strategy; the acquisition module is used to obtain the maintenance data of the incoming tobacco leaf raw materials during the maintenance process; the evaluation module is used to evaluate the aging quality of the incoming tobacco leaf raw materials based on the maintenance data; the early warning module is used to issue an early warning when the aging quality meets the early warning condition, so as to realize the control of the aging quality of the incoming tobacco leaf raw materials.

[0012] The present invention provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned tobacco leaf aging quality control method is implemented.

[0013] The present invention provides an electronic device, comprising: a processor and a memory; the memory is used to store a computer program; the processor is used to execute the computer program stored in the memory, so that the electronic device executes the above-mentioned tobacco alcoholization quality control method.

[0014] The present invention provides a tobacco aging quality control system, comprising: a collection device and / or a user terminal, and the above-mentioned electronic device; the collection device is connected to the electronic device, used to collect first data, and upload the first data to the electronic device; and / or the user terminal is connected to the electronic device, used to enter manually collected second data into the electronic device; the maintenance data includes at least any one of the following: the first data and the second data.

[0015] In one embodiment of the present invention, the user terminal is also used to access the electronic device so that the user can understand the tobacco aging status.

[0016] As described above, the tobacco aging quality control method, system, medium and electronic device of the present invention have the following beneficial effects:

[0017] (1) Compared with the prior art, the present invention provides an automated tobacco aging quality control method, which does not require excessive human involvement in the entire tobacco aging quality control process, and effectively solves the problem that the existing manual tobacco quality control technology has differences for different environments and workers.

[0018] (2) The present invention is based on the support of automatic data acquisition technology. Through automatic data acquisition, data analysis, early warning push, auxiliary decision-making, execution control, etc., it realizes the evaluation of tobacco leaf maintenance quality and risk prevention and control; it ensures the whole process control of tobacco leaf raw material maintenance in warehouse, and realizes the transformation of tobacco leaf maintenance process from risk remediation to risk early warning, which can effectively reduce the quality risk of tobacco leaves in warehouse, reduce the tangible loss of tobacco leaf raw materials in warehouse, grasp the aging process of tobacco leaf raw materials, and improve the aging quality of tobacco leaves. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Shown is a schematic structural diagram of a terminal in one embodiment of the present invention.

[0020] Figure 2 Shown is a flow chart of a tobacco leaf aging quality control method in one embodiment of the present invention.

[0021] Figure 3 Shown is a flow chart of constructing a tobacco leaf aging strategy library in one embodiment of the present invention.

[0022] Figure 4 Shown is a schematic structural diagram of an embodiment of the present invention for evaluating the aging quality of incoming tobacco leaf raw materials based on curing data.

[0023] Figure 5 Shown is a block diagram of the working principle of the tobacco leaf aging quality control method in one embodiment of the present invention.

[0024] Figure 6 Shown is a schematic diagram of the operating principle of the temperature and humidity management of the present invention in one embodiment.

[0025] Figure 7 Shown is a diagram showing the operating principle of the pest control system of the present invention in one embodiment.

[0026] Figure 8 Shown is a schematic diagram of the operation principle of the quality inspection of the present invention in one embodiment.

[0027] Fig. 9 The diagram shows the operating principle of the alcoholization control in one embodiment of the present invention.

[0028] Fig.10 Shown is a diagram of the operating principles of the security management of the present invention in one embodiment.

[0029] Fig.11 Shown is a workflow diagram of task management in one embodiment of the present invention.

[0030] Fig.12 The diagram shows a bar graph of evaluation coefficients corresponding to various quality anomalies of the present invention in one embodiment.

[0031] Fig.13Shown is a line chart comparing the total quality assessment score and the total quality risk assessment score of the present invention in one embodiment.

[0032] Fig.14 Shown is a schematic structural diagram of a tobacco aging quality control system according to an embodiment of the present invention.

[0033] Fig.15 Shown is a schematic structural diagram of a tobacco aging quality control system of the present invention in another embodiment. DETAILED DESCRIPTION

[0034] The following describes the embodiments of the present invention through specific embodiments, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0035] It should be noted that the illustrations provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic manner, and thus the illustrations only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0036] Compared with the prior art, the tobacco aging quality control method, system, medium and electronic equipment of the present invention provide an automated tobacco aging quality control method. In the entire tobacco aging quality control process, there is no need for excessive human participation, which effectively solves the problem that the existing manual tobacco quality control technology has differentiation for different environments and workers. The present invention is based on the support of automatic data acquisition technology, and through automatic data acquisition, data analysis, early warning push, auxiliary decision-making, execution control, etc., it realizes tobacco maintenance quality evaluation and risk prevention and control; ensures the whole process control of tobacco raw materials in warehouse, realizes the transformation of tobacco maintenance process from risk remediation to risk early warning, can effectively reduce the quality risk of tobacco in warehouse, reduce the tangible loss of tobacco raw materials in warehouse, grasp the aging process of tobacco raw materials, and improve the quality of tobacco aging.

[0037] The storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the following tobacco leaf aging quality control method is implemented. The storage medium includes: a read-only memory (ROM), a random access memory (RAM), a disk, a USB flash drive, a memory card or an optical disk, and other media that can store program codes.

[0038] Any combination of one or more storage media may be used. The storage medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a RAM, a ROM, an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0039] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0040] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0041] Computer program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, Smalltalk, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0042] The present invention will be described below with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each box of the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device, thereby producing a machine so that these computer program instructions, when executed by the processor of the computer or other programmable data processing device, produce a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0043] These computer program instructions may also be stored in a computer-readable medium, which enables a computer, other programmable data processing apparatus, or other device to operate in a specific manner, so that the instructions stored in the computer-readable medium produce an article of manufacture including instructions for implementing the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0044] Computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide a process for implementing the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0045] The electronic device of the present invention includes a processor and a memory.

[0046] The memory is used to store computer programs; preferably, the memory includes: ROM, RAM, disk, USB flash drive, memory card or CD, etc., which can store program codes.

[0047] The processor is connected to the memory and is used to execute the computer program stored in the memory so that the electronic device executes the following tobacco aging quality control method.

[0048] Preferably, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0049] In one embodiment, the electronic device includes a terminal and / or a server.

[0050] Figure 1 A block diagram of an exemplary terminal 1 suitable for implementing embodiments of the present invention is shown.

[0051] Figure 1 The terminal 1 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0052] like Figure 1 As shown, the terminal 1 is in the form of a general-purpose computing device. The components of the terminal 1 may include, but are not limited to: one or more processors or processing units 11, a memory 12, and a bus 13 connecting different system components (including the memory 12 and the processing unit 11).

[0053] The bus 13 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

[0054] The terminal 1 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the terminal 1, including volatile and non-volatile media, removable and non-removable media.

[0055] The memory 12 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 121 and / or cache memory 122. The terminal 1 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 123 may be used to read and write non-removable, non-volatile magnetic media ( Figure 1 not shown, usually called a "hard drive"). Although Figure 1 Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 13 via one or more data medium interfaces. The memory 12 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0056] A program / utility 124 having a set (at least one) of program modules 1241 may be stored, for example, in the memory 12, such program modules 1241 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination thereof may include an implementation of a network environment. The program modules 1241 generally perform the functions and / or methods of the embodiments described herein.

[0057] The terminal 1 may also communicate with one or more external devices 2 (e.g., keyboard, pointing device, display 3, etc.), one or more devices that enable a user to interact with the terminal 1, and / or any device that enables the terminal 1 to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed via an input / output (I / O) interface 14. Furthermore, the terminal 1 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 15. Figure 1 As shown, the network adapter 15 communicates with other modules of the terminal 1 via the bus 13. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the terminal 1, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0058] like Figure 2 As shown, in one embodiment, the tobacco leaf aging quality control method of the present invention comprises the following steps:

[0059] Step S1, matching a target storage strategy for incoming tobacco leaf raw materials, so as to maintain the incoming tobacco leaf raw materials according to the target storage strategy.

[0060] In one embodiment, before the step of matching the target storage strategy for the incoming tobacco raw materials, the method further includes the following steps: constructing a tobacco aging strategy library to match the target storage strategy for the incoming tobacco raw materials from the tobacco aging strategy library.

[0061] It should be noted that the tobacco aging and curing production process requires matching the storage environment with the tobacco characteristics. Therefore, it is necessary to build a warehouse model and a tobacco aging strategy library to select the corresponding storage strategy from the tobacco aging strategy library based on the situation of the tobacco raw materials entering the warehouse.

[0062] like Figure 3 As shown, in one embodiment, the construction of the tobacco leaf aging strategy library includes the following steps:

[0063] Step S01: Obtain the quantitative impact degree corresponding to each warehouse.

[0064] It should be noted that the degree of influence refers to the degree of influence of the warehouse on the aging quality of tobacco leaves.

[0065] It should be noted that the geographical location, warehouse orientation, floor location, equipment configuration, etc. of the tobacco warehouse will significantly affect the storage environment between warehouses. In the construction of the warehouse model, the geographical location, warehouse orientation, floor location, and equipment configuration are used as classification conditions of the warehouse model.

[0066] Furthermore, through data analysis, we analyzed the average temperature and humidity, accumulated temperature and other data of various warehouses, conducted a quantitative analysis of the storage environment of various warehouses, and summarized the degree of influence of various warehouses on the aging of tobacco leaves, which formed part of the warehouse model.

[0067] Step S02: Obtain the quantitative storage characteristics corresponding to each type of tobacco leaf raw material.

[0068] It should be noted that the grade, part, year, etc. of tobacco raw materials are characteristics of tobacco raw materials, and they are adapted to different storage environments. In the construction of the warehouse model, tobacco raw materials are classified according to their grade, part, year and other characteristics, and the aging conditions required for the aging of tobacco raw materials are formed according to the characteristics of tobacco raw materials and historical data, including storage accumulated temperature, humidity, duration, etc., to form quantified storage characteristics of tobacco raw materials, which constitute part of the warehouse model.

[0069] Step S03: constructing the tobacco leaf aging strategy library based on the impact degree and the storage characteristics.

[0070] Specifically, according to the two parts of the above warehouse model, a tobacco aging strategy library is constructed.

[0071] It should be noted that the content of the tobacco aging strategy library includes at least but is not limited to any one of the following: storage time (two years, three years...), census cycle (once or twice a year), self-inspection cycle (once or twice a month), insecticide plan (once or twice a year), insect inspection (once or twice a month) and accumulated temperature and humidity disposal method (how much accumulated temperature and humidity in a year, two years...).

[0072] Step S2, obtaining the curing data of the tobacco leaf raw materials entering the warehouse during the curing process.

[0073] Specifically, a tobacco leaf aging and curing big data center will be established to obtain the curing data of the incoming tobacco leaf raw materials during the curing process.

[0074] In one embodiment, the tobacco leaf aging and curing big data center includes:

[0075] (1) Terminal perception and control layer: Data on the tobacco stacking environment is collected through corresponding automated data collection equipment, and the equipment is automatically operated through corresponding operating parameters, or controlled according to platform instructions.

[0076] (2) Network transmission layer: The collected data is transmitted to the IoT management and control cloud platform through wired and / or wireless networks, and the platform control instructions are transmitted back to the terminal.

[0077] (3) Platform control layer: data storage, conversion, processing, analysis and control on the cloud platform.

[0078] (4) Application service layer: Implement specific application functions according to needs, realize real-time monitoring of the maintenance process, and unified management of warehouse data.

[0079] Furthermore, the tobacco leaf aging and maintenance big data center also includes a user layer: users can access the system at any time through user terminals, such as mobile phones, PADs, computers and other terminals to understand the maintenance and storage site conditions, and enter the corresponding data that cannot be automatically collected.

[0080] It should be noted that the above-mentioned supporting hardware, network, server and supporting systems constitute a tobacco leaf maintenance data center. For all data in the tobacco leaf maintenance process, a combination of manual collection and system automatic collection is adopted to report data.

[0081] In one embodiment, the maintenance data includes at least any one of the following: first data collected by a collection device and second data collected manually; wherein, the first data includes at least but is not limited to any one of the following: temperature data, humidity data, oxygen data and phosphine data; the second data includes at least but is not limited to any one of the following: sensory data, moisture data, chemical composition analysis data and absorption evaluation data.

[0082] Specifically, the sensory data include color, oil pressing, mildew, insect infestation, condensation, moisture, odor, etc., which are used to conduct a preliminary inspection of the aging state of the tobacco leaves through intuitive feeling; the moisture data is obtained by unpacking and weighing, and the final algorithm is (weight before baking - weight after baking) / (weight before baking - box weight) * 100%; the chemical composition analysis data includes the values ​​of pH value, total sugar, potassium ion, reducing sugar, total alkaloids, chloride ion, total nitrogen, and starch; the smoking evaluation data includes the scores of aroma quality, aroma quantity, concentration, stimulation, miscellaneous smell, strength, aftertaste, and combustibility.

[0083] In one embodiment, the collection frequency of the collection device is every 2 to 3 hours; specifically, the automatic collection is to collect and report the temperature, humidity, oxygen, phosphine and other data of the entire tobacco warehouse and stack through the collection device at a regular interval.

[0084] Furthermore, the original data collected by the hardware every day contains relevant information such as the device unique code, power value, signal value, accessory number, collected data value, etc. The original data obtained by each data transmission will be associated with the configured device components in the system through the device unique code to obtain the corresponding associated stack position, building warehouse and other related information, and the collected data will be associated with the stack position and archived for subsequent data statistical analysis.

[0085] Step S3: evaluating the aging quality of the incoming tobacco raw materials based on the curing data.

[0086] like Figure 4 As shown, in one embodiment, the step of evaluating the aging quality of the incoming tobacco leaf raw material based on the curing data includes the following steps:

[0087] Step S31, determining the type of quality abnormality corresponding to the incoming tobacco leaf raw materials based on the maintenance data.

[0088] It should be noted that, during the aging and curing process of tobacco leaves, the types of quality abnormalities that occur are pre-defined, that is, there are several types of quality abnormalities, and what kind of curing data each quality abnormality corresponds to, etc.; specifically, step S31 determines the type of quality abnormality corresponding to the incoming tobacco leaf raw materials based on the curing data obtained in step S2 (if the incoming tobacco leaf raw materials do not show any quality abnormality during the aging and curing process, the corresponding type of quality abnormality is zero, which means that there is no problem with the aging and curing of the incoming tobacco leaf raw materials).

[0089] Step S32: Evaluate the alcoholization quality according to the type of the quality abnormality.

[0090] In one embodiment, the tobacco leaf aging and curing quality system and risk level evaluation system adopts a scoring method to quantify the quality risk of tobacco leaf raw materials; specifically, firstly, the weights of the impact of various quality abnormalities on the quality of tobacco leaf raw materials are constructed through a judgment matrix; then, a quality abnormality evaluation level is established, the severity of the quality abnormalities is graded, and points are assigned to quality abnormalities of different severities.

[0091] In one embodiment, the quality abnormality scoring standard is shown in the following table.

[0092]

[0093] In one embodiment, the evaluation formula for the alcoholization quality is:

[0094]

[0095] Wherein, Z represents the alcoholization mass; a i b represents the scoring coefficient of the i-th type of quality anomaly; i It represents the weight of the impact of the i-th quality anomaly on the quality of tobacco raw materials; the value of i ranges from 1 to n; and n represents the total number of types of quality anomalies corresponding to the incoming tobacco raw materials.

[0096] It should be noted that when the score of the above-mentioned alcoholization quality Z reaches a certain threshold, it means that the quality abnormalities have accumulated to a certain extent, and an early warning is issued according to different thresholds.

[0097] Step S4: when the aging quality meets the early warning condition, an early warning is issued to control the aging quality of the incoming tobacco raw materials.

[0098] In one embodiment, when the alcoholization quality meets the warning condition, issuing a warning includes the following steps: when the alcoholization quality meets the warning condition, selecting a warning scheme from the warning rules according to the alcoholization quality to issue a warning; the warning rules include at least one warning scheme.

[0099] It should be noted that corresponding warning plans and contents are formulated for each level of warning, warning rules are formed, customized configurations are made, and a monitoring and alarm system is formed for the collected and reported maintenance data, so as to quickly discover problems arising in the tobacco leaf aging and maintenance process and solve them in a timely manner; at the same time, corresponding processing measures and work assignment objects, as well as task effectiveness settings are established. After the relevant alarm occurs, a complete set of task work orders can be quickly established and assigned to the corresponding operators for processing, and the task process can be effectively controlled and supervised, and finally feedback on the task results can be obtained, forming a complete set of monitoring alarms and disposal measures.

[0100] like Figures 5 to 11 As shown, in one embodiment, the tobacco aging quality control method of the present invention involves temperature and humidity management (such as Figure 6 as shown), pest control (such as Figure 7 as shown), quality inspection (such as Figure 8 As shown), alcoholization control (as shown Fig. 9 as shown), security management (as shown Fig.10 as shown) and task management (as shown Fig.11 These aspects are shown).

[0101] It should be noted that during the aging and curing process of tobacco leaves, it is necessary to collect aging and curing process data through temperature and humidity management, pest control, quality inspection, aging control, and safety management. At the same time, the aging process situation is judged through the early warning model (corresponding to the above-mentioned evaluation formula), and responses are taken according to the judgment results. Corresponding tasks are assigned to corresponding personnel to complete the aging process management of tobacco leaf raw materials (corresponding task management).

[0102] It should be noted that the present invention collects all data in the process of tobacco leaf aging and curing (temperature and humidity changes in the environment outside the warehouse, temperature and humidity changes in the environment inside the warehouse, oxygen changes between warehouses, floors and floor heights, temperature and humidity changes in cigarette packs, moisture changes in tobacco leaves, tobacco leaf placement, cigarette stack size, oxygen changes in cigarette stacks, color changes, smell, sensory evaluation, accumulated temperature and humidity, average temperature and humidity and average oxygen concentration, operation plan, production plan, procurement plan, aging quality standard benchmark value, etc.); realizes full process monitoring of the in-warehouse curing stage in the three links of raw material warehousing, in-warehouse curing, and out-of-warehouse, and adopts the index baseline deviation method to locate the aging and curing of tobacco leaves to the cigarette box level. , for each tobacco box's temperature, humidity, oxygen, odor, color, oil pressing, insect infestation, mildew and other maintenance data, combined with the surrounding environment, storage location, warehousing time, storage time and daily control data for warehouses and stacks, a comprehensive score is given according to the weighted algorithm and factor proportion. At the same time, a full data analysis is conducted to find the differences and commonalities in the key indicators of tobacco leaves during the maintenance process, and these values ​​are recorded. Combined with the final tobacco leaf quality assessment results, the key factors are mined to achieve refined maintenance guidance for tobacco leaves in storage, improve the controllable level of tobacco leaf maintenance in storage, guide the outbound plan, and provide a reference for production plans and procurement plans.

[0103] It should be noted that the protection scope of the tobacco leaf aging quality control method described in the present invention is not limited to the execution order of the steps listed in this embodiment, and all solutions achieved by adding, reducing or replacing steps in the prior art based on the principles of the present invention are included in the protection scope of the present invention.

[0104] The tobacco leaf alcoholization quality control method of the present invention is further explained below through specific examples.

[0105] 1. Simulation calculation based on some maintenance data in 2018

[0106] 1) Sample selection

[0107]

[0108] 2) Quality abnormality evaluation

[0109] A. Insect Pest Scoring

[0110] The risk of insect infection is determined based on the total insect population in 2018 and combined with the fumigation situation in 2019.

[0111]

[0112] B. Mildew

[0113] According to the historical census and self-inspection records, the moldy condition of tobacco leaves is judged and points are assigned.

[0114]

[0115]

[0116] C. Color

[0117] At present, the color of sample tobacco leaves is mainly checked on site by visual inspection. If dark color is found, samples are taken, and the leaves with obvious dark color are picked out and weighed to calculate the ratio.

[0118]

[0119] D. Oil pressure

[0120] By randomly sampling on site, we picked out the obvious oil-pressed flakes and weighed them to calculate the proportion:

[0121]

[0122] E. Alcoholization

[0123] Physical and chemical indexes are tested when tobacco raw materials are put into storage and in storage. Based on the changes in physical and chemical indexes, the aging status of tobacco raw materials can be preliminarily judged.

[0124] a) Sample 1

[0125] Nicotine Total Sugar Reducing sugar Total Nitrogen Total Potassium Total Chlorine pH Warehouse 2.65 20.5 17.79 26.4 1.24 2.33 4.94 In Library 2.4 16.89 16.12 2.12 1.5 2.43 4.76 Rate of change -9.4％-17.6％ -9.4％ -19.7％ 21.0％ 4.3％ -3.6％

[0126] b) Sample 2

[0127] Nicotine Total Sugar Reducing sugar Total Nitrogen Total Potassium Total Chlorine pH Warehouse 2.65 20.5 17.79 2.64 1.24 2.33 4.94 In Library 2.43 16.83 16.1 2.1 1.39 2.44 4.81 Rate of change -8.3％ -17.9％ -9.5％ -20.5％ 12.1％ 4.7％ -2.6％

[0128] c) Sample 3

[0129] Nicotine Total Sugar Reducing sugar Total Nitrogen Total Potassium Total Chlorine pH Warehouse 2.8 25.55 25.47 2.33 3.24 0.61 5.15 In Library 2.55 21.25 21.68 1.95 3.69 0.38 4.98 Rate of change -8.9％ -16.8％ -14.9％ -16.3％ 13.9％ -37.7％ -3.3％

[0130] d) Sample 4

[0131] Nicotine Total Sugar Reducing sugar Total Nitrogen Total Potassium Total Chlorine pH Warehouse 2.8 25.55 25.47 2.33 3.24 0.61 5.15 In Library 2.79 20.6 20.5 2.14 3.5 0.54 4.93 Rate of change -0.4％ -19.4％ -19.5％ -8.2％ 8.0％ -11.5％ -4.3％

[0132] e) Sample 5

[0133] Nicotine Total Sugar Reducing sugar Total Nitrogen Total Potassium Total Chlorine pH Warehouse 1.57 25.36 21.72 1.53 2.71 0.27 5.5 In Library 1.72 23.88 22.82 1.83 2.14 0.14 5.33 Rate of change 9.6％ -5.8％ 5.1％ 19.6％ -21.0％ -48.1％ -3.1％

[0134] f) Sample 6

[0135] Nicotine Total Sugar Reducing sugar Total Nitrogen Total Potassium Total Chlorine pH Warehouse 2.58 26.18 23.65 2.3 1.93 0.66 5.31 In Library 2.4 27.15 23.75 2.33 1.47 1.13 5.16 Rate of change -7.0％ 3.7％ 0.4％ 1.3％ -23.8％ 71.2％ -2.8％

[0136] g) Sample 7

[0137] Nicotine Total Sugar Reducing sugar Total Nitrogen Total Potassium Total Chlorine pH Warehouse 2.38 25.21 22.11 2.02 2.42 0.53 5.33 In Library 2.23 26.01 24.78 2.16 1.66 0.37 5.29 Rate of change -6.3％ 3.2％ 12.1％ 6.9％ -31.4％ -30.2％ -0.8％

[0138] The physical and chemical indicators that most obviously affect the sensory quality of tobacco raw materials are nicotine, total sugar, reducing sugar, total nitrogen, and pH value. From the above statistics, it can be seen that total potassium and total chlorine fluctuate violently, so they are not counted; further statistics are conducted on whether each cargo pile has undergone low-oxygen inhibition of alcoholization.

[0139]

[0140] 1) Summary of quality evaluation scores

[0141] The summary of insect status evaluation, mildew evaluation, color score, oil pressure score, and physical and chemical index change score is as follows:

[0142]

[0143] Since different quality abnormalities have different influences on quality evaluation, evaluation coefficients are designed to form an average total quality score (refer to the following table and Fig.12 ):

[0144]

[0145]

[0146] 2) Sample quality evaluation and scoring analysis

[0147] The total quality evaluation score of Sample 1 reached 24 points, mainly because the color depth reached level three, accompanied by changes in physical and chemical indicators and oil pressure. Therefore, it should be used as soon as possible. If it cannot be used as soon as possible, it should be transferred to a warehouse with lower temperature for storage to reduce the color depth score in the second year.

[0148] The total quality evaluation score of sample 2 is 10 points. It is stored in the top layer of the cloud library. The overall condition is good. The main problems occur in color depth and changes in physical and chemical indicators.

[0149] The total quality evaluation score of sample 3 is 8 points. Due to the long storage time of the 2015 tobacco leaves, there are slight oil compression and changes in physical and chemical indicators. Nitrogen filling should be carried out in time.

[0150] The total quality evaluation score of Sample 4 is 12 points. Due to the long inventory time of the 2015 tobacco leaves, the proportion of pressed oil sheets is high, and the physical and chemical indicators have certain changes. Since it is an experimental pile, it will continue to be observed.

[0151] The total quality evaluation score of Sample 5 is 14 points. Insect infestation was discovered during storage and fumigation was carried out, so the insect infestation score was low. Due to the high temperature in the top-floor warehouse, there were certain changes in oil pressure and physical and chemical indicators.

[0152] The total quality evaluation score of Sample 6 is 14 points. Insect infestation was discovered during storage and fumigation was carried out, so the insect infestation score was relatively low. Due to the high temperature in the top warehouse, there was a certain amount of oil compression and color depth, but the physical and chemical indicators did not change much.

[0153] The total quality evaluation score of Sample 7 is 16 points. There is a certain degree of mold. The high total quality evaluation score is caused by the high mold evaluation coefficient. Therefore, it should be sorted out in time to lower the total quality evaluation score.

[0154] According to the scores of Sample 1 and Sample 2, the total quality evaluation score of the tobacco raw materials stored in the Yunling West Road warehouse at the same time was much lower than that in the Caolian Road warehouse. On the one hand, its quality abnormalities were relatively minor, and on the other hand, some of the scores were reduced by inhibiting aging through controlled atmosphere.

[0155] Samples 3 and 4 stored in the Yunling West Road warehouse have similar scores. On the one hand, their storage years are shorter, and on the other hand, the storage environment of the Yunling West Road warehouse is better.

[0156] During the storage process, insects occurred in the warehouses of samples 5 and 6, but no insects were found in the stacks. However, the situation was relatively minor. The quality abnormalities were mainly concentrated in the oil pressing, which may be because both samples were in the top warehouse, so the oil pressing was more obvious.

[0157] 2. Predict tobacco leaf raw material quality based on storage environment data

[0158] The factors that affect the quality of tobacco raw materials in the warehouse environment are mainly the following three indirect manifestations:

[0159] Cigarette box temperature - affects color, oil pressure, and physical and chemical index evaluation

[0160] Humidity in the warehouse: affecting the mildew and oil pressing of tobacco raw materials

[0161] Pest status between warehouses - affecting the evaluation of pest status

[0162] The relevant data in 2018 are summarized as follows, and the total score of quality risk assessment is set based on history:

[0163]

[0164] According to the warehouse where the samples are located and the quality risk assessment table, the following summary table is obtained:

[0165]

[0166]

[0167] Combination Fig.13As shown in the table, the total quality evaluation score (corresponding to the above-mentioned "mellowing quality") and the total quality risk assessment score are statistically analyzed for the warehouses where samples 1-7 are located. It can be seen from the table that the total quality evaluation score and the total quality risk assessment score show a certain correlation.

[0168] In one embodiment, the tobacco leaf aging quality control method of the present invention is applied to construct a tobacco leaf in-warehouse maintenance quality information management system.

[0169] Specifically, the tobacco leaf aging quality control is achieved through the tobacco leaf in-warehouse maintenance quality information management system.

[0170] like Fig.14 As shown, in one embodiment, the tobacco aging quality control system of the present invention (corresponding to the above-mentioned “tobacco in-warehouse maintenance quality information management system”) includes a matching module 141, an acquisition module 142, an evaluation module 143 and an early warning module 144.

[0171] The matching module 141 is used to match the target storage strategy for the incoming tobacco leaf raw materials so as to maintain the incoming tobacco leaf raw materials according to the target storage strategy.

[0172] The acquisition module 142 is used to obtain the curing data of the incoming tobacco leaf raw materials during the curing process.

[0173] The evaluation module 143 is used to evaluate the aging quality of the incoming tobacco leaf raw materials based on the maintenance data.

[0174] The early warning module 144 is used to issue an early warning when the alcoholization quality meets the early warning condition, so as to control the alcoholization quality of the incoming tobacco raw materials.

[0175] It should be noted that the structures and principles of the matching module 141, the acquisition module 142, the evaluation module 143 and the early warning module 144 correspond one-to-one to the steps (steps S1 to S4) in the above-mentioned tobacco alcoholization quality control method, so they are not repeated here.

[0176] It should be noted that it should be understood that the division of the various modules of the above system is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the x module can be a separately established processing element, or it can be integrated in a certain chip of the above system for implementation. In addition, it can also be stored in the memory of the above system in the form of program code, and called and executed by a certain processing element of the above system. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element described here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0177] For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processors that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0178] like Fig.15 As shown, in one embodiment, the tobacco aging quality control system of the present invention includes a collection device 151 and / or a user terminal 152, and the above-mentioned electronic device 153.

[0179] Specifically, the collection device 151 is connected to the electronic device 153 for collecting first data and uploading the first data to the electronic device 153; and / or the user terminal 152 is connected to the electronic device 153 for entering manually collected second data into the electronic device 153.

[0180] It should be noted that the maintenance data includes at least any one of the following: the first data and the second data.

[0181] In one embodiment, the user terminal 152 is also used to access the electronic device 153 so that the user can understand the tobacco aging status.

[0182] It should be noted that the working principle of the tobacco leaf aging quality control system is the same as the working principle of the above-mentioned tobacco leaf aging quality control method, so it will not be described in detail here.

[0183] It should be noted that the tobacco aging quality control system of the present invention can implement the tobacco aging quality control method of the present invention, but the implementation device of the tobacco aging quality control method of the present invention includes but is not limited to the structure of the tobacco aging quality control system listed in this embodiment, and all structural deformations and replacements of the prior art made according to the principles of the present invention are included in the protection scope of the present invention.

[0184] To sum up, compared with the prior art, the tobacco aging quality control method, system, medium and electronic equipment of the present invention provide an automated tobacco aging quality control method. In the entire tobacco aging quality control process, there is no need for excessive human participation, which effectively solves the problem that the existing manual tobacco quality control technology has differentiation for different environments and workers; the present invention is based on the support of automatic data acquisition technology, through automatic data acquisition, data analysis, early warning push, auxiliary decision-making, execution control, etc., to achieve tobacco maintenance quality evaluation and risk prevention and control; ensure the whole process control of tobacco raw materials in warehouse maintenance, realize the transformation of tobacco maintenance process from risk remediation to risk early warning, can effectively reduce the quality risk of tobacco in warehouse, reduce the tangible loss of tobacco raw materials in warehouse, grasp the aging process of tobacco raw materials, and improve the quality of tobacco aging; therefore, the present invention effectively overcomes the various shortcomings of the prior art and has a high industrial utilization value.

[0185] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A tobacco leaf aging quality control method, characterized in that: The following steps are involved: Matching a target storage strategy for incoming tobacco raw materials, so as to maintain the incoming tobacco raw materials according to the target storage strategy; before the step of matching the target storage strategy for incoming tobacco raw materials, building a tobacco aging strategy library, so as to match the target storage strategy for the incoming tobacco raw materials from the tobacco aging strategy library; Obtaining the curing data of the incoming tobacco raw materials during the curing process; Evaluate the aging quality of the incoming tobacco raw materials based on the curing data; When the alcoholization quality meets the early warning condition, an early warning is issued to control the alcoholization quality of the incoming tobacco raw materials; Wherein, the construction of the tobacco leaf aging strategy library comprises the following steps: Obtaining the quantitative influence degree corresponding to each warehouse; the influence degree refers to the influence degree of the warehouse on the aging quality of tobacco leaves; Obtain the quantitative storage characteristics corresponding to each type of tobacco raw material; Based on the impact degree and the storage characteristics, construct the tobacco leaf aging strategy library; The step of evaluating the aging quality of the incoming tobacco raw materials based on the curing data comprises the following steps: Determine the type of quality abnormality corresponding to the incoming tobacco leaf raw material based on the maintenance data; The alcoholization quality is evaluated according to the type of the quality abnormality; the evaluation formula of the alcoholization quality is: Wherein, Z represents the alcoholization mass; a i b represents the scoring coefficient of the i-th type of quality anomaly; i It represents the weight of the impact of the i-th quality anomaly on the quality of tobacco raw materials; the value of i ranges from 1 to n; and n represents the total number of types of quality anomalies corresponding to the incoming tobacco raw materials.

2. The tobacco leaf aging quality control method according to claim 1, characterized in that: The content of the tobacco leaf aging strategy library includes at least any one of the following: storage time, census cycle, self-inspection cycle, pest control plan, insect inspection and accumulated temperature and moisture disposal method.

3. The tobacco aging quality control method according to claim 1, characterized in that: The maintenance data includes at least any one of the following: first data collected by collection equipment and second data collected manually; wherein, the first data includes at least any one of the following: temperature data, humidity data, oxygen data and phosphine data; the second data includes at least any one of the following: sensory data, moisture data, chemical composition analysis data and absorption evaluation data.

4. The tobacco leaf aging quality control method according to claim 1, characterized in that: When the alcoholization quality meets the warning condition, issuing an early warning includes the following steps: when the alcoholization quality meets the early warning condition, according to the alcoholization quality, selecting an early warning scheme from the early warning rules for early warning; the early warning rules include at least one early warning scheme.

5. A tobacco aging quality control system, characterized in that: include: Matching module, acquisition module, evaluation module and warning module; The matching module is used to match the target storage strategy for the incoming tobacco raw materials, so as to maintain the incoming tobacco raw materials according to the target storage strategy; before the step of matching the target storage strategy for the incoming tobacco raw materials, a tobacco aging strategy library is constructed, so as to match the target storage strategy for the incoming tobacco raw materials from the tobacco aging strategy library; Wherein, the construction of the tobacco leaf aging strategy library comprises the following steps: Obtaining the quantitative influence degree corresponding to each warehouse; the influence degree refers to the influence degree of the warehouse on the aging quality of tobacco leaves; Obtain the quantitative storage characteristics corresponding to each type of tobacco raw material; Based on the impact degree and the storage characteristics, the tobacco leaf aging strategy library is constructed; the acquisition module is used to obtain the curing data of the tobacco leaf raw materials entering the warehouse during the curing process; The evaluation module is used to evaluate the alcoholization quality of the incoming tobacco raw materials based on the maintenance data; the evaluation of the alcoholization quality of the incoming tobacco raw materials based on the maintenance data includes the following steps: Determine the type of quality abnormality corresponding to the incoming tobacco leaf raw material based on the maintenance data; The alcoholization quality is evaluated according to the type of the quality abnormality; the evaluation formula of the alcoholization quality is: Wherein, Z represents the alcoholization mass; a i b represents the scoring coefficient of the i-th type of quality anomaly; i represents the weight of the impact of the i-th quality anomaly on the quality of tobacco raw materials; the value of i ranges from 1 to n; n represents the total number of types of quality anomalies corresponding to the incoming tobacco raw materials; The early warning module is used to issue an early warning when the alcoholization quality meets the early warning condition, so as to control the alcoholization quality of the incoming tobacco raw materials.

6. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the tobacco aging quality control method according to any one of claims 1 to 4 is implemented.

7. An electronic device, characterized in that: include: Processor and memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory so that the electronic device executes the tobacco aging quality control method according to any one of claims 1 to 4.

8. A tobacco leaf aging quality control system, characterized in that: include: A collection device and / or a user terminal, and the electronic device described in claim 7; The acquisition device is connected to the electronic device and is used to acquire first data and upload the first data to the electronic device; and / or The user terminal is connected to the electronic device and is used to input the manually collected second data into the electronic device; The maintenance data includes at least any one of the following: the first data and the second data.

9. The tobacco aging quality control system according to claim 8, characterized in that: The user terminal is also used to access the electronic device so that the user can understand the tobacco aging status.

Images