CN111406967B - Method for measuring real-time execution rate of tobacco leaf baking process - Google Patents

Method for measuring real-time execution rate of tobacco leaf baking process Download PDF

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CN111406967B
CN111406967B CN202010332017.2A CN202010332017A CN111406967B CN 111406967 B CN111406967 B CN 111406967B CN 202010332017 A CN202010332017 A CN 202010332017A CN 111406967 B CN111406967 B CN 111406967B
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yellowing
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late
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CN111406967A (en
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刘加红
高华锋
解燕
张瑞勤
查文菊
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Qujing Filiale Of Yunnan Province Tobacco Corp
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Qujing Filiale Of Yunnan Province Tobacco Corp
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    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
    • A24B3/00—Preparing tobacco in the factory
    • A24B3/10—Roasting or cooling tobacco
    • A—HUMAN NECESSITIES
    • A24—TOBACCO; CIGARS; CIGARETTES; SIMULATED SMOKING DEVICES; SMOKERS' REQUISITES
    • A24B—MANUFACTURE OR PREPARATION OF TOBACCO FOR SMOKING OR CHEWING; TOBACCO; SNUFF
    • A24B9/00—Control of the moisture content of tobacco products, e.g. cigars, cigarettes, pipe tobacco
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423—Input/output

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  • Manufacture Of Tobacco Products (AREA)

Abstract

The application discloses a method for measuring the real-time execution rate of a tobacco leaf baking process, which comprises the following steps: step S100: acquiring execution parameters and key point data in the tobacco leaf baking process in real time; step S200: acquiring a difference value between the execution parameter and the standard parameter, comparing the obtained difference value with a tolerance range, and performing step S300: and calculating the execution rate. By acquiring execution parameters and key point data in the flue-cured tobacco process in real time and respectively giving weights according to the quality influence on the flue-cured tobacco, the flue-cured tobacco process execution rate is obtained, the flue-cured tobacco process is quantitatively inspected, and the interference of artificial subjective factors and the occurrence of inaccurate manual measurement are avoided.

Description

Method for measuring real-time execution rate of tobacco leaf baking process
Technical Field
The application relates to a method for measuring the real-time execution rate of a tobacco leaf baking process, belonging to the field of tobacco leaf baking.
Background
The baking is an important link in the tobacco production process and is one of bottlenecks which restrict the production development of the flue-cured tobacco and improve the quality of the tobacco. The implementation situation of the baking process determines the baking quality of the tobacco leaves, so that the baking management personnel can comprehensively master the implementation situation of the baking process, and the baking management personnel play an important role in improving the quality of the tobacco leaves.
The evaluation method of the execution rate of the existing baking process comprises the following steps: after the temperature and humidity are recorded manually, the baking experts evaluate and score, and the following problems exist in the process:
firstly, the existing baking process needs to be continuously carried out for 7 days and 24 hours every day, the real-time baking data is difficult to accurately record in a high-frequency mode by depending on manpower, particularly, the phenomenon of temperature drop in a short time in the process is often difficult to record manually, and the actual baking curve and parameters are difficult to obtain.
Secondly, the baking data is recorded and the process is evaluated manually, so that the method has certain subjectivity and the phenomenon of insufficient authenticity is inevitable. Resulting in incomplete and non-objective evaluation of the baking process.
Disclosure of Invention
The application provides a method for measuring the real-time execution rate of a tobacco leaf curing process, which is used for solving the problem that the process parameters in the tobacco leaf curing process are only manually collected and recorded in the prior art, and the accuracy is low; each tobacco leaf baking process can only be evaluated by experts, the subjective influence is large, and the objectivity is poor; the technical problem of short-time temperature drop can not be recorded.
The application provides a method for measuring the real-time execution rate of a tobacco leaf baking process, which comprises the following steps:
step S100: acquiring execution parameters and key point data in the tobacco leaf baking process in real time;
step S200: obtaining the difference value between the execution parameter and the standard parameter, comparing the obtained difference value with the tolerance range, and obtaining a parameter score X when the difference value is within the tolerance rangeiIs 1 minute;
when the difference is outside the tolerance range, obtaining a parameter score XiIs 0 min;
step S300: the parameter execution score is calculated as follows:
Figure BDA0002465281700000021
wherein Q isiWeighting the execution parameters of the baking process;
the key point scores were calculated as follows:
Figure BDA0002465281700000022
wherein, YjFor the key point data, P, obtained during the execution of the baking processjIs the key point weight of the baking process;
the execution rate is calculated as follows:
execution rate-execution score-key point deduction.
Preferably, the execution parameters are: ignition to early yellowing stage temperature stabilization point time A1, early yellowing stage dry bulb temperature A2, early yellowing stage wet bulb temperature A3, early yellowing stage temperature stabilization time A4, early yellowing stage temperature stabilization end to middle yellowing stage temperature stabilization point temperature rise time A5, middle yellowing stage dry bulb temperature A6, middle yellowing stage wet bulb temperature A7, middle yellowing stage temperature stabilization time A8, middle yellowing stage temperature stabilization end to middle yellowing stage temperature stabilization point temperature rise time A9, late yellowing stage dry bulb temperature A10, late yellowing stage wet bulb temperature A11, late yellowing stage temperature stabilization time A12, early yellowing stage temperature stabilization end to fixed color temperature stabilization point temperature rise time A13, early color fixing dry bulb temperature A14, early color fixing wet bulb temperature A15, early color fixing temperature stabilization time A16, early color fixing temperature stabilization end to fixed color temperature stabilization point temperature rise time A17, late color fixing dry bulb temperature A18, late color fixing dry bulb temperature A3528, late color fixing dry bulb temperature A19, late color fixing dry bulb temperature A20, late color fixing temperature stabilization point temperature A21, late color fixing dry bulb temperature stabilization point temperature A3645, and late color fixing dry bulb temperature stabilization point temperature A367, Dry-bulb temperature A22 in dry-tendon period, wet-bulb temperature A23 in dry-tendon period and temperature-stabilizing time A24 in dry-tendon period.
Preferably, the standard parameters are set according to a standard: ignition to early yellowing temperature stabilization point time B1, early yellowing dry bulb temperature B2, early yellowing wet bulb temperature B3, early yellowing temperature stabilization time B4, early yellowing temperature stabilization end to middle yellowing temperature stabilization point temperature rise time B5, middle yellowing dry bulb temperature B6, middle yellowing wet bulb temperature B7, middle yellowing temperature stabilization time B8, middle yellowing temperature stabilization end to late yellowing temperature stabilization point temperature rise time B9, late yellowing dry bulb temperature B10, late yellowing wet bulb temperature B11, late yellowing temperature stabilization time B12, early yellowing temperature stabilization end to fixed color temperature stabilization point temperature rise time B13, early fixed color dry bulb temperature B14, early fixed color wet bulb temperature B15, early fixed color temperature stabilization time B16, early fixed color temperature stabilization end to fixed color temperature stabilization point temperature B17, late fixed color dry bulb temperature B18, late fixed color dry bulb temperature B4642, late fixed color dry bulb temperature B21, late fixed color temperature B21, Dry-bulb temperature B22 in dry-tendon period, wet-bulb temperature B23 in dry-tendon period and temperature-stabilizing time B24 in dry-tendon period.
Preferably, the key point data is: the times A25 that the temperature fluctuation of the dry bulb is more than 2 ℃ in the baking process and the times A26 that the kettle of the dry-wet bulb thermometer lacks water in the baking process.
Preferably, the acquisition frequency of the execution parameters is acquired every 30S in real time.
Preferably, the execution parameters are acquired by a temperature and humidity sensor installed in the tobacco flue-curing house.
Preferably, the method further comprises the following steps: and the real-time data processing module is used for executing the real-time steps S200-S300.
Preferably, the method further comprises the following steps: the temperature and humidity wireless data acquisition module is used for transmitting execution parameters acquired by the temperature and humidity sensor.
Preferably, the system further comprises a display, wherein the real-time display is electrically connected with the data processing module and is used for displaying the calculated execution rate.
The beneficial effects that this application can produce include:
1) according to the method for measuring the real-time execution rate of the tobacco leaf curing process, the temperature and the humidity in the tobacco leaf curing process are collected in real time through the temperature and humidity wireless collection equipment, the real-time key parameter points and the standard key parameter points are compared, the execution rate of the tobacco leaf curing process is obtained, the tobacco leaf curing process is quantized, and the monitoring of the production process is facilitated. The baking process can be quantitatively inspected more accurately and objectively, the baking management and management force and the working efficiency are effectively improved, and the time cost and the related operation cost of an enterprise are reduced.
2) According to the method for measuring the real-time execution rate of the tobacco leaf curing process, the execution parameters and the key point data in the tobacco curing process are obtained in real time, weights are given to the quality influence of the cured tobacco respectively, the execution rate of the tobacco leaf curing process is obtained, the tobacco leaf curing process is examined quantitatively, and the interference of artificial subjective factors and the occurrence of inaccurate manual measurement are avoided.
Drawings
FIG. 1 is a schematic flow chart of a method for determining the real-time execution rate of a tobacco flue-curing process provided by the present application;
FIG. 2 is a schematic structural diagram of a real-time execution rate measuring device for a tobacco leaf flue-curing process provided by the present application;
Detailed Description
The present application will be described in detail with reference to examples, but the present application is not limited to these examples.
Referring to fig. 1, the method for determining the real-time execution rate of the tobacco flue-curing process provided by the application comprises the following steps:
step S100: acquiring execution parameters and key point data in the tobacco leaf baking process in real time;
step S200: obtaining the difference value between the execution parameter and the standard parameter, comparing the obtained difference value with the tolerance range, and obtaining a parameter score X when the difference value is within the tolerance rangeiIs 1 minute;
when the difference is outside the tolerance range, obtaining a parameter score XiIs 0 min;
step S300: the parameter execution score is calculated as follows:
Figure BDA0002465281700000041
wherein Q isiWeighting the execution parameters of the baking process; wherein i is a natural number of 1-24.
And determining the weight of the execution parameters of the baking process according to the influence of real-time process parameter points on the quality of the flue-cured tobacco in actual production.
The key point scores were calculated as follows:
Figure BDA0002465281700000042
wherein, YjFor the key point data, P, obtained during the execution of the baking processjIs the key point weight of the baking process; wherein j is a natural number of 1-2.
And determining the key point weight of the baking process according to the influence of the key point data on the quality of the flue-cured tobacco in actual production.
The standard parameters can be determined by various production enterprises for realizing that the quality of the flue-cured tobacco meets the national standard requirements, and can also be determined according to the national standard GB/T23219-2008 (flue-cured tobacco baking technical regulation).
The execution rate is calculated as follows:
execution rate-execution score-key point deduction.
The flue-cured tobacco process execution rate is obtained by obtaining real-time execution parameters and key point data in the flue-cured tobacco process, the flue-cured tobacco process can be objectively and accurately reflected by the execution rate, and intervention of artificial subjective factors is reduced.
The execution parameters and the key point data are set according to the quality control points commonly used in the tobacco curing process.
Preferably, the execution parameters are: ignition to early yellowing stage temperature stabilization point time A1, early yellowing stage dry bulb temperature A2, early yellowing stage wet bulb temperature A3, early yellowing stage temperature stabilization time A4, early yellowing stage temperature stabilization end to middle yellowing stage temperature stabilization point temperature rise time A5, middle yellowing stage dry bulb temperature A6, middle yellowing stage wet bulb temperature A7, middle yellowing stage temperature stabilization time A8, middle yellowing stage temperature stabilization end to middle yellowing stage temperature stabilization point temperature rise time A9, late yellowing stage dry bulb temperature A10, late yellowing stage wet bulb temperature A11, late yellowing stage temperature stabilization time A12, early yellowing stage temperature stabilization end to fixed color temperature stabilization point temperature rise time A13, early color fixing dry bulb temperature A14, early color fixing wet bulb temperature A15, early color fixing temperature stabilization time A16, early color fixing temperature stabilization end to fixed color temperature stabilization point temperature rise time A17, late color fixing dry bulb temperature A18, late color fixing dry bulb temperature A3528, late color fixing dry bulb temperature A19, late color fixing dry bulb temperature A20, late color fixing temperature stabilization point temperature A21, late color fixing dry bulb temperature stabilization point temperature A3645, and late color fixing dry bulb temperature stabilization point temperature A367, Dry-bulb temperature A22 in dry-tendon period, wet-bulb temperature A23 in dry-tendon period and temperature-stabilizing time A24 in dry-tendon period.
The A1-A24 execution parameters are obtained, the method can accurately reflect the property changes of the flue-cured tobacco in all aspects caused by the process, and the quality of the flue-cured tobacco (such as the total amount change of aroma substances, the change of different aroma substances and the change of the bottom intrinsic aroma of the tobacco leaves) is related, so that the process effect of the flue-cured tobacco is quantitatively, comprehensively and accurately reflected in real time, and the condition of artificial omission is reduced.
Preferably, the standard parameters are set according to a standard: ignition to early yellowing temperature stabilization point time B1, early yellowing dry bulb temperature B2, early yellowing wet bulb temperature B3, early yellowing temperature stabilization time B4, early yellowing temperature stabilization end to middle yellowing temperature stabilization point temperature rise time B5, middle yellowing dry bulb temperature B6, middle yellowing wet bulb temperature B7, middle yellowing temperature stabilization time B8, middle yellowing temperature stabilization end to late yellowing temperature stabilization point temperature rise time B9, late yellowing dry bulb temperature B10, late yellowing wet bulb temperature B11, late yellowing temperature stabilization time B12, early yellowing temperature stabilization end to fixed color temperature stabilization point temperature rise time B13, early fixed color dry bulb temperature B14, early fixed color wet bulb temperature B15, early fixed color temperature stabilization time B16, early fixed color temperature stabilization end to fixed color temperature stabilization point temperature B17, late fixed color dry bulb temperature B18, late fixed color dry bulb temperature B4642, late fixed color dry bulb temperature B21, late fixed color temperature B21, Dry-bulb temperature B22 in dry-tendon period, wet-bulb temperature B23 in dry-tendon period and temperature-stabilizing time B24 in dry-tendon period.
The standard parameter can be the parameter B1-B24 in the flue-cured tobacco process, or the parameter B1-B24 determined according to the national standard.
Preferably, the key point data is: the frequency A25 of the fluctuation of the dry bulb temperature by more than 2 ℃ (2 ℃ is not included) in the baking process and the frequency A26 of the water shortage (the dry bulb temperature is basically the same as the wet bulb temperature) of the dry bulb thermometer kettle in the baking process. The dry bulb temperature and the wet bulb temperature are the same in the baking process, which indicates that the kettle is lack of water.
The dry bulb temperature is the same as or basically consistent with the wet bulb temperature from the yellowing later stage to the dry gluten stage in the baking process.
Preferably, the difference is obtained as follows:
difference is Al-Bl，
Wherein l is a natural number of 1-24; a. thelTo execute the parameters, BlAre standard parameters. l when taking 1, A is obtained1And B1After l is taken to be 2, A is obtained2And B2The difference of (c) and so on.
Preferably, the acquisition frequency of the execution parameters is acquired every 30S in real time. The parameters are obtained according to the frequency, so that the real-time conditions of each stage in the tobacco curing process can be comprehensively reflected, and the missing detection of short-time temperature drop is avoided.
Referring to fig. 2, the method provided by the present application is specifically implemented by using the device connection mode shown in the figure. Preferably, the execution parameters are acquired by a temperature and humidity sensor installed in the tobacco flue-curing house, and are used for executing step S100.
Preferably, the method further comprises the following steps: and the temperature and humidity wireless data acquisition module is electrically connected with the temperature and humidity sensor and used for sending and transmitting data after the temperature and humidity sensor acquires the data.
Preferably, the system further comprises a data processing module, wherein the temperature and humidity wireless data acquisition module is electrically connected with the data processing module, and the data processing module is used for executing the steps S200-S300.
Preferably, the device further comprises a display, wherein the display is electrically connected with the data processing module and is used for displaying the calculated execution rate. And the result can be monitored and displayed in real time conveniently.
Specifically, the wet and dry bulb temperature sensor includes a four-way DS18B20 signal; the temperature and humidity wireless data acquisition module adopts SIM800C as a GPRS module, and the SIM800C module is communicated with the UART of the singlechip.
The data processing module comprises: the main control circuit: a C8051F340 series single chip microcomputer is adopted, and a peripheral circuit comprises a crystal oscillator, a download interface, an indicator light and an onboard temperature sensor. The onboard temperature sensor is used for testing the ambient temperature, and the indicating lamp is used for indicating the working state of the module, such as standby, sensor information acquisition, GPRS data sending, fault state and the like.
Referring to fig. 2, still including the power, power module gets the electricity from the sensor interface of roast room controller, and power chip XC6206P331MR converts +5V into +3.3V, for master control circuit power supply, and power chip TP4056 converts +5V into +4.2V, for the power supply of GPRS module, adopts the heavy current needs when super capacitor energy storage is in order to guarantee GPRS module sending data.
Examples
The method comprises the following steps:
the method comprises the following steps: a baking room temperature and humidity wireless data acquisition module (hereinafter referred to as a digital acquisition module) is connected in series between a baking room temperature and humidity sensor and a baking room controller, four paths of DS18B20 signals of a wet and dry bulb thermometer are firstly input into the digital acquisition module, and after data distribution of a GPRS module, the signals are synchronously output to the baking room controller. The data acquisition module hardware circuit consists of a power supply circuit, a GPRS circuit and a main control circuit
A power supply circuit: the module gets the electricity from the sensor interface of roast room controller, and power chip XC6206P331MR converts +5V into +3.3V, for master control circuit power supply, and power chip TP4056 converts +5V into +4.2V, for the power supply of GPRS module, adopts the heavy current needs when super capacitor energy storage is in order to guarantee GPRS module transmission data.
GPRS circuit: the GPRS module adopts SIM800C, and the SIM800C module communicates with the single chip UART.
The main control circuit: a C8051F340 series single chip microcomputer is adopted, and a peripheral circuit comprises a crystal oscillator, a download interface, an indicator light and an onboard temperature sensor. The onboard temperature sensor is used for testing the ambient temperature, and the indicating lamp is used for indicating the working state of the module, such as standby, sensor information acquisition, GPRS data sending, fault state and the like.
Step two: the temperature and humidity wireless acquisition module extracts dry bulb temperature and wet bulb temperature of tobacco leaf baking process in real time every 30S, and transmits data to the data processing module, and extracts A1 ignition time to a yellowing early stage temperature stabilization point, A2 yellowing early stage dry bulb temperature, A3 yellowing early stage wet bulb temperature, A4 yellowing early stage temperature stabilization time, A5 yellowing early stage temperature stabilization end to yellowing middle stage temperature stabilization point heating time, A6 yellowing middle stage dry bulb temperature, A7 yellowing middle stage wet bulb temperature, A8 yellowing middle stage temperature stabilization time, A9 yellowing middle stage temperature stabilization end to yellowing late stage temperature stabilization point heating time, A10 yellowing late stage dry bulb temperature, A11 yellowing late stage wet bulb temperature, A12 yellowing late stage temperature stabilization time, A13 yellowing late stage temperature end to fixed color early stage temperature stabilization point heating time, A14 fixed color early stage dry bulb temperature, A15 fixed color early stage wet bulb temperature, A16 fixed color early stage temperature stabilization end to color early stage temperature stabilization point heating time, A17 color temperature stabilization point heating time, 24 actual baking process execution parameters including A18 color fixing later-stage dry bulb temperature, A19 color fixing later-stage wet bulb temperature, A20 color fixing later-stage temperature stabilization time, heating time from the end of A21 color fixing later-stage temperature stabilization to a dry gluten phase temperature stabilization point, A22 dry gluten phase dry bulb temperature, A23 dry gluten phase wet bulb temperature and A24 dry gluten phase temperature stabilization time; and simultaneously extracting 2 times of fluctuation of the A25 dry bulb temperature by more than 2 ℃ (2 ℃ is not contained) and times of water shortage of a kettle of the A26 dry-wet bulb thermometer (the dry bulb temperature is the same as or basically consistent with the wet bulb temperature from the yellowing later stage to the dry-rib stage) for executing key evaluation points of the baking process.
Step three: inputting standard baking process parameters and tolerance in a data processing module, wherein the standard baking process parameters comprise B1 ignition to a yellowing early-stage temperature-stabilizing point time, B2 yellowing early-stage dry bulb temperature, B3 yellowing early-stage wet bulb temperature, B4 yellowing early-stage temperature-stabilizing time, B5 yellowing early-stage temperature-stabilizing end to yellowing middle-stage temperature-stabilizing point temperature-rising time, B6 yellowing middle-stage dry bulb temperature, B7 yellowing middle-stage wet bulb temperature, B8 yellowing middle-stage temperature-stabilizing time, B9 yellowing middle-stage temperature-stabilizing end to yellowing later-stage temperature-stabilizing point temperature-rising time, B10 yellowing later-stage dry bulb temperature, B11 yellowing later-stage wet bulb temperature, B12 yellowing later-stage temperature-stabilizing time, B13 yellowing later-stage temperature-stabilizing end to fixed color early-stage temperature-stabilizing point temperature-rising time, B14 fixed color early-stage dry bulb temperature, B15 fixed color early-stage wet bulb temperature, B638 fixed color early-stage temperature-stabilizing time, B17 fixed color earlier-stabilizing end to fixed color later-stabilizing point temperature-stabilizing time, B18 fixed color later-stabilizing point temperature, B638 fixed color temperature-stabilizing point temperature, and B638 fixed color temperature-stabilizing point temperature, 24 parameter points of B20 color fixation later-stage temperature stabilization time, B21 color fixation later-stage temperature stabilization end-to-dry muscle phase temperature stabilization point temperature rise time, B22 dry muscle phase dry muscle temperature, B23 dry muscle phase wet muscle temperature and B4 dry muscle phase temperature stabilization time.
Step four: 24 baking process execution parameter weights, namely Q1, Q2, Q3 and Q4 … … Q24 are input into the data processing module according to the percentage.
Step five: the key evaluation points of the baking process execution are input in the data processing module, namely the deduction weight of Q25 dry bulb temperature fluctuation is more than 2 ℃ (2 ℃) and the kettle of the Q26 dry-wet bulb thermometer is lack of water.
Step six: and calculating the difference between the 24 standard baking process execution parameters (B1 and B2 … … B24) and the actual baking process execution parameters (A1 and A2 … … A24), comparing the difference with the tolerance of each parameter, and counting 1 point within the tolerance range and 0 point outside the tolerance range to obtain 24 parameter scores, namely X1, X2 and X3 … … X24.
Step seven: 24 baking process parameter execution scores are calculated.
Baking process parameter execution score of X1 & Q1+ X2 & Q2+ X3 & Q3+ … … X24 & Q24
Step eight: and calculating the deduction score of the baking process execution key evaluation data according to the baking process execution key evaluation data and the weight.
Step nine: and calculating the execution rate of the baking process.
Baking process execution rate-baking process parameter execution score-baking process execution key evaluation data deduction
Step ten: and displaying the baking process execution rate score, and then ending.
Reference throughout this specification to "one embodiment," "another embodiment," "an embodiment," "a preferred embodiment," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment described generally in this application. The appearances of the same phrase in various places in the specification are not necessarily all referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with any embodiment, it is submitted that it is within the scope of the disclosure to effect such feature, structure, or characteristic in connection with other embodiments.
Although the present application has been described herein with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More specifically, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, other uses will also be apparent to those skilled in the art.

Claims (7)

1. A method for measuring the real-time execution rate of a tobacco leaf baking process is characterized by comprising the following steps:
step S100: acquiring execution parameters and key point data in the tobacco leaf baking process in real time;
step S200: obtaining the difference value between the execution parameter and the standard parameter, comparing the obtained difference value with the tolerance range, and obtaining a parameter score X when the difference value is within the tolerance rangeiIs 1 minute;
when the difference is outside the tolerance range, obtaining a parameter score XiIs 0 min;
step S300: the parameter execution score is calculated as follows:
Figure FDA0003420296120000011
wherein Q isiWeighting the execution parameters of the baking process;
the key point scores were calculated as follows:
Figure FDA0003420296120000012
wherein, YjFor the key point data, P, obtained during the execution of the baking processjIs the key point weight of the baking process;
the execution rate is calculated as follows:
executing score-key point deduction;
the execution parameters are as follows: ignition to early yellowing stage temperature stabilization point time A1, early yellowing stage dry bulb temperature A2, early yellowing stage wet bulb temperature A3, early yellowing stage temperature stabilization time A4, early yellowing stage temperature stabilization end to middle yellowing stage temperature stabilization point temperature rise time A5, middle yellowing stage dry bulb temperature A6, middle yellowing stage wet bulb temperature A7, middle yellowing stage temperature stabilization time A8, middle yellowing stage temperature stabilization end to middle yellowing stage temperature stabilization point temperature rise time A9, late yellowing stage dry bulb temperature A10, late yellowing stage wet bulb temperature A11, late yellowing stage temperature stabilization time A12, early yellowing stage temperature stabilization end to fixed color temperature stabilization point temperature rise time A13, early color fixing dry bulb temperature A14, early color fixing wet bulb temperature A15, early color fixing temperature stabilization time A16, early color fixing temperature stabilization end to fixed color temperature stabilization point temperature rise time A17, late color fixing dry bulb temperature A18, late color fixing dry bulb temperature A3528, late color fixing dry bulb temperature A19, late color fixing dry bulb temperature A20, late color fixing temperature stabilization point temperature A21, late color fixing dry bulb temperature stabilization point temperature A3645, and late color fixing dry bulb temperature stabilization point temperature A367, A dry bulb temperature A22 in a dry tendon period, a wet bulb temperature A23 in the dry tendon period and a temperature stabilization time A24 in the dry tendon period;
the standard parameters are set according to the standard: ignition to early yellowing temperature stabilization point time B1, early yellowing dry bulb temperature B2, early yellowing wet bulb temperature B3, early yellowing temperature stabilization time B4, early yellowing temperature stabilization end to middle yellowing temperature stabilization point temperature rise time B5, middle yellowing dry bulb temperature B6, middle yellowing wet bulb temperature B7, middle yellowing temperature stabilization time B8, middle yellowing temperature stabilization end to late yellowing temperature stabilization point temperature rise time B9, late yellowing dry bulb temperature B10, late yellowing wet bulb temperature B11, late yellowing temperature stabilization time B12, early yellowing temperature stabilization end to fixed color temperature stabilization point temperature rise time B13, early fixed color dry bulb temperature B14, early fixed color wet bulb temperature B15, early fixed color temperature stabilization time B16, early fixed color temperature stabilization end to fixed color temperature stabilization point temperature B17, late fixed color dry bulb temperature B18, late fixed color dry bulb temperature B4642, late fixed color dry bulb temperature B21, late fixed color temperature B21, Dry-bulb temperature B22 in dry-tendon period, wet-bulb temperature B23 in dry-tendon period and temperature-stabilizing time B24 in dry-tendon period.
2. The method for determining the real-time execution rate of the tobacco flue-curing process according to claim 1, wherein the key point data is: the times A25 that the temperature fluctuation of the dry bulb is more than 2 ℃ in the baking process and the times A26 that the kettle of the dry-wet bulb thermometer lacks water in the baking process.
3. The method for determining the real-time execution rate of the tobacco flue-curing process according to claim 1, wherein the execution parameters are acquired every 30S in real time.
4. The method for measuring the real-time execution rate of the tobacco flue-curing process according to claim 1, wherein the execution parameters are obtained by a temperature and humidity sensor installed in a tobacco flue-curing house.
5. The method for determining the real-time execution rate of the tobacco flue-curing process according to claim 4, further comprising: and the real-time data processing module is used for executing the real-time steps S200-S300.
6. The method for determining the real-time execution rate of the tobacco flue-curing process according to claim 5, further comprising: the temperature and humidity wireless data acquisition module is used for transmitting execution parameters acquired by the temperature and humidity sensor.
7. The method for measuring the real-time execution rate of the tobacco flue-curing process according to claim 5, further comprising a display electrically connected with the data processing module for displaying the calculated execution rate.
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