Intelligent Judgment System for the State of Thin Plate Cut Tobacco Drying Equipment

Abstract

The present invention discloses an intelligent judgment system for the state of a thin-plate tobacco drying equipment, which includes a data acquisition module, a model construction module, a standard establishment module, and an abnormal analysis module. This system is mainly applied to the thin-plate tobacco drying process in tobacco leaf processing. By using the principle of material energy balance, through establishing a dynamic mass transfer process model of energy, setting the standards for the equipment state, it realizes the automatic determination and intelligent early warning of the state of the thin-plate tobacco drying equipment. In addition to being able to intelligently judge the abnormal state of the equipment, this system can also generate an abnormal analysis report, which is convenient for operators to quickly analyze and locate the abnormal factors.

Description

[0001] This application is a divisional application of the application with the application number 202210774614.X and the invention title of "Intelligent Judgment Method for the State of Thin Plate Tobacco Drying Equipment Based on Energy Balance". Technical Field

[0002] The present invention relates to the field of tobacco leaf processing, and specifically relates to an intelligent judgment system for the state of thin plate tobacco drying equipment based on energy balance. Background Art

[0003] Energy balance plays an important role in production industries such as chemical engineering and food. Process energy balance and consumption analysis research can fully understand the state of the production process, reflect the potential changes in the system state during the production process, and provide a theoretical basis for reducing energy consumption. The production process of tobacco from tobacco leaves to cut tobacco is accompanied by energy and mass transfer. This process requires heating and drying, and consumes a large amount of heat energy. Current research mainly focuses on the mass transfer process of tobacco humidification, while the energy transfer process and efficiency research are ignored.

[0004] The thin plate tobacco drying process is an important part of the entire production system. It can dry excess moisture to quickly form and improve cut tobacco indexes such as curl, filling value, and elasticity. Among the entire cut tobacco production process, the thin plate tobacco dryer is a process with high energy consumption. By constructing an energy transfer and change diagram through energy conservation analysis research, it can help achieve more intelligent and efficient production of cut tobacco.

[0005] Therefore, there is an urgent need for a system that can intelligently judge abnormal equipment states based on energy balance analysis. Summary of the Invention

[0006] To solve the above problems, the present application provides an intelligent judgment system for the state of thin plate tobacco drying equipment based on energy balance, which is applied to the thin plate tobacco drying process of tobacco leaf processing. This system uses the principle of material energy balance, establishes a dynamic mass transfer process model of energy, and sets standards for equipment states to achieve automatic determination and intelligent early warning of the state of thin plate tobacco drying equipment.

[0007] The technical solution adopted by the present invention to solve its technical problems is as follows:

[0008] An intelligent judgment system for the state of thin plate tobacco drying equipment based on energy balance includes a data acquisition module, a model construction module, a standard establishment module, and an abnormality analysis module;

[0009] The data acquisition module is used for automatic acquisition of modeling parameters, model operation data, etc.;

[0010] The model construction module is used to establish an energy balance model for the HT stage and an energy balance model for the thin plate tobacco drying stage based on material energy balance in stages;

[0011] A standard establishment module, which is used to determine the total energy consumption range value of each stage according to the corresponding stage of the model; determine the energy consumption standard interval of each stage, and determine the energy consumption range value of each energy consumption standard interval; determine the associated indicators of each energy consumption standard interval and their status standard ranges;

[0012] An abnormal analysis module, which is used to perform material energy balance calculation based on the data automatically collected by the data collection module and the energy balance model established by the model construction module, and compare the data processing results with the total energy consumption range value of each stage determined by the standard establishment module and the energy consumption range value of each energy consumption standard interval:

[0013] When the energy balance calculation data is abnormal, determine that the equipment status is abnormal and give an alarm;

[0014] Based on the associated indicators of each energy consumption standard interval and their status standard ranges determined by the standard establishment module, generate a status abnormal analysis report, show the associated indicators of the data abnormality, and quickly analyze and locate the abnormal equipment factors.

[0015] The object of the present invention also lies in providing an intelligent judgment method for the status of a thin plate tobacco drying equipment based on energy balance calculation, including

[0016] S1, data collection

[0017] The data collection range includes physical related parameters such as the inlet moisture, inlet flow rate, outlet moisture, exhaust port wind speed, humidity, steam pressure, and flow rate of the thin plate tobacco drying process; and energy related parameters such as the inlet temperature, outlet temperature, steam temperature, hot air temperature, and exhaust port temperature of the thin plate tobacco drying process;

[0018] The data collection method:

[0019] With the help of the information management system of the cigarette making workshop, the inlet temperature, inlet moisture, inlet flow rate, outlet temperature, outlet moisture, etc. of the thin plate tobacco drying process are collected in real time every 30 seconds; the steam temperature and flow rate in the HT stage and the thin plate tobacco drying stage, the thin plate hot air temperature, and the thin plate condensate temperature are collected in real time every 30 seconds using the cigarette making equipment management system; the exhaust port wind speed and temperature and humidity are measured manually on the exhaust duct using a multi-functional measuring instrument and a handheld temperature and humidity detector respectively. 3 groups of exhaust port wind speed data are measured, with a measurement interval of 20 minutes between groups, 10 data in each group, and a measurement interval of 30 seconds within each group, for a total of 30 data; 3 groups of exhaust port temperature and humidity data are measured, with a measurement interval of 20 minutes between groups, 10 data in each group, and a measurement interval of 30 seconds within each group, for a total of 30 data;

[0020] S2, model establishment

[0021] S2.1, energy balance model in the HT stage

[0022] The energy conservation equation is:

[0023]

[0024] Among them: Q1 is the heat absorbed by the cut tobacco during temperature rise (including the heat absorbed by the cut tobacco moisture during temperature rise + the heat absorbed by the cut tobacco dry matter):

[0025]

[0026] Q2 is the heat exchange energy of steam diffusion into cut tobacco for liquefaction (including the sensible heat of steam without phase change + the latent heat of steam phase change):

[0027]

[0028] Q3 is the heat released by steam during the process from steam to the moisture exhaust port:

[0029]

[0030] Model parameter description:

[0031] W s,in -- HT inlet material flow rate, kg / h;

[0032] H s,in -- HT inlet material moisture content, %;

[0033] W s,mid -- HT outlet material flow rate, kg / h;

[0034] W s,mid = W s,in + AH(T g,inHT ) × V g,inHT - AH(T g,outHT ) × V g,outHT × RH HT ;

[0035] H s,mid -- HT outlet material moisture content, %;

[0036]

[0037] V g,inHT -- HT main steam volume flow rate, m 3 / h;

[0038] V g,outHT -- HT moisture exhaust gas volume flow rate, m 3 / h;

[0039] P g,inHT -- HT main steam pressure, P;

[0040] RH HT--Relative humidity of the moisture exhaust gas of HT, %;

[0041] P g,inDHT --Steam pressure of the lower cover plate of HT, P;

[0042] V g,inDHT --Steam volume flow rate of the lower cover plate of HT, m 3 / h;

[0043] T s,in --Inlet temperature of HT, K;

[0044] T s,mid --Outlet temperature of HT, K;

[0045] T g,inHT --Main steam temperature of HT, K;

[0046] T g,outHT --Temperature of the moisture exhaust gas of HT, K;

[0047] AH(T) -- Absolute humidity under the saturated vapor pressure of the gas, %;

[0048]

[0049] C p,w --Thermal enthalpy value of water, J / kg / K;

[0050] C p,w = 1.459×10 -6 T 4 - 1.971×10 -3 T 3 + 1.005×T 2 - 228.7T + 23750;

[0051] ΔH w --Latent heat of moisture evaporation, J / kg;

[0052]

[0053] C p,t --Specific heat capacity of cut tobacco, J / kg / K;

[0054]

[0055] S2.2, Energy balance model for the cut tobacco drying stage

[0056] The energy conservation equation is:

[0057]

[0058] Among them: Q4 is the heat released by the hot air:

[0059]

[0060] Q5 is the heat transferred from steam through the thin plate to cut tobacco:

[0061]

[0062] Q6 is the heat dissipated by the cut tobacco itself during cooling (including the heat released by the cooling of cut tobacco moisture + the heat released by the cooling of cut tobacco dry matter):

[0063]

[0064] Q7 is the heat absorbed by the evaporated moisture during the drying process (including the sensible heat of moisture evaporation + the latent heat of phase change of moisture evaporation):

[0065]

[0066] Description of model parameters:

[0067] T g,inhot --Hot air temperature of the thin plate, K;

[0068] T g,outhot --Exhaust gas temperature of the thin plate, K;

[0069] T s,out --Outlet material temperature of the thin plate, K;

[0070] V g,inhot --Hot air volume flow rate of the thin plate, m 3 / h;

[0071] W s,out --Outlet material flow rate of the thin plate, kg / h;

[0072] T s,pan --Temperature of the thin plate, K;

[0073] K H,hot --Heat transfer coefficient of the thin plate;

[0074] K H,dry --Heat transfer coefficient of the material;

[0075] DES(T) -- Air density, kg / m 3 ;

[0076] C p,b --Thermal enthalpy value of air, J / kg / K;

[0077] COP -- Heat conversion efficiency coefficient of the thin plate heat transfer process:

[0078]

[0079] Q5′ is the heat released by the condensed steam of the heated thin plate:

[0080]

[0081] -- Sensible heat of heat loss of steam flow, J / kg;

[0082] V g,indry -- Volume flow rate of steam for heating the thin plate, m 3 / h;

[0083] T g,indry -- Temperature of steam for heating the thin plate, K;

[0084] T g,outdry -- Temperature of the return water of the thin plate, K;

[0085] ΔH′ w -- Latent heat of heat loss of steam flow, J / kg;

[0086] S3. Establish equipment status standards

[0087] S3.1. Determine the total energy consumption range value for each stage according to the corresponding stage of the model

[0088] Determine the total energy consumption range value for a certain stage from the start to the end of production, based on the production order time;

[0089] HT stage: The total energy consumption range value is 635 - 645 MJ / h;

[0090] Thin plate drying and roasting stage: The total energy consumption range value is 2900 - 3600 MJ / h;

[0091] S3.2. Determine the energy consumption standard interval for each stage, and determine the energy consumption range value for each energy consumption standard interval

[0092] The energy consumption standard intervals for the HT stage include:

[0093] Heat absorption Q1 interval for the temperature rise of cut tobacco: The energy consumption range value is 600 - 620 MJ / h;

[0094] Heat release Q2 interval for steam entering cut tobacco: The energy consumption range value is 518 - 530 MJ / h;

[0095] Heat transfer Q3 interval from steam to the moisture exhaust port: The energy consumption range value is 78 - 92 MJ / h;

[0096] The energy consumption standard intervals for the thin plate drying and roasting stage include:

[0097] Heat release Q4 interval of hot air: The energy consumption range value is 520 - 560 MJ / h;

[0098] The range of heat quantity Q5 transferred from steam to cut tobacco through the thin plate: the energy consumption range is 690 - 750 MJ / h;

[0099] The heat dissipation Q5' of the condensate water of the steam heating the thin plate: the energy consumption range is 1370 - 1400 MJ / h;

[0100] The heat dissipation Q6 of the cut tobacco itself during temperature reduction: the energy consumption range is 180 - 260 MJ / h;

[0101] The heat absorption Q7 for the evaporation and drying of cut tobacco: the energy consumption range is 1460 - 1520 MJ / h;

[0102] S3.3. Determine the associated indicators and their standard state ranges for each energy consumption standard interval

[0103] The associated indicators of the heat absorption Q1 for the temperature rise of cut tobacco include:

[0104] The material flow rate at the HT inlet, the moisture content of the material at the HT inlet, the temperature at the HT inlet, the temperature at the HT outlet;

[0105] The associated indicators of the heat release Q2 when steam enters the cut tobacco include:

[0106] The material flow rate at the HT inlet, the moisture content of the material at the HT inlet, the temperature at the HT outlet, the main steam temperature of the HT, the material flow rate at the HT outlet, the moisture content of the material at the HT outlet;

[0107] The associated indicators of the heat transfer Q3 from steam to the exhaust port include:

[0108] The volume flow rate of the main steam of the HT, the main steam temperature of the HT, the exhaust air velocity of the HT, the temperature of the exhaust gas of the HT, the main steam pressure of the HT, the steam pressure of the lower cover plate of the HT, the volume flow rate of the steam of the lower cover plate of the HT;

[0109] The associated indicators of the heat release Q4 of the hot air include:

[0110] The hot air temperature, the hot air velocity, the temperature of the exhaust gas;

[0111] The associated indicators of the heat quantity Q5 transferred from steam to cut tobacco through the thin plate include:

[0112] The material flow rate at the HT outlet, the temperature at the HT outlet, the temperature of the material at the thin plate outlet, the temperature of the thin plate;

[0113] The associated indicators of the heat dissipation Q5' of the condensate water of the steam heating the thin plate include:

[0114] The steam temperature of the thin plate, the volume flow rate of the steam of the thin plate, the temperature of the return water of the thin plate;

[0115] The associated indicators of the heat dissipation Q6 of the cut tobacco itself during temperature reduction include:

[0116] HT outlet material flow rate, HT outlet material moisture content, HT outlet temperature, thin plate outlet material temperature;

[0117] The associated indicators in the Q7 interval of the heat absorption Q7 for cut tobacco drying evaporation include:

[0118] HT outlet material flow rate, thin plate outlet material flow rate, exhaust gas temperature, HT outlet temperature;

[0119] S4, anomaly analysis

[0120] Based on the data automatically collected in S1 and the energy balance model established in stages in S2, perform material energy balance calculation, and compare the data processing results with the total energy consumption range values determined in each stage in S3 and the energy consumption range values in each energy consumption standard interval;

[0121] When there is an anomaly in the energy balance data, determine that the equipment status is abnormal and give an early warning;

[0122] Based on the associated indicators and their status standard ranges in each energy consumption standard interval determined in S3, generate an anomaly analysis report on the status, showing the associated indicators with abnormal data, and quickly analyze and locate the abnormal equipment factors.

[0123] The beneficial effects brought by the present invention are:

[0124] This application uses the principle of material balance to establish an energy dynamic mass transfer model for the thin plate cut tobacco drying equipment during the production process, sets the equipment status standards, collects data using information technology means, embeds the model into the production system. If there are abnormal phenomena during the production process, this application can intelligently judge the abnormal status of the equipment and generate an anomaly analysis report, which is convenient for operators to quickly analyze and locate the abnormal factors. Description of the Drawings

[0125] The following further describes the present invention in conjunction with the drawings and specific embodiments.

[0126] Figure 1 It is the system block diagram of the intelligent judgment method for the status of this thin plate cut tobacco drying equipment;

[0127] Figure 2 It is the flowchart of anomaly judgment and disposal for the intelligent judgment method for the status of this thin plate cut tobacco drying equipment. Detailed Embodiments

[0128] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0129] Example 1

[0130] An intelligent judgment method for the state of a thin-sheet tobacco drying equipment based on energy balance, including

[0131] S1, data acquisition

[0132] The data acquisition range includes physical-related parameters such as the inlet moisture, inlet flow rate, outlet moisture, exhaust port wind speed, humidity, steam pressure, and flow rate of the thin-sheet tobacco drying process; and energy-related parameters such as the inlet temperature, outlet temperature, steam temperature, hot air temperature, and exhaust port temperature of the thin-sheet tobacco drying process;

[0133] The data acquisition method:

[0134] With the help of the information management system of the cigarette making workshop, the inlet temperature, inlet moisture, inlet flow rate, outlet temperature, outlet moisture, etc. of the thin-sheet tobacco drying process are collected in real time every 30 seconds; the steam temperature, flow rate in the HT stage and the thin-sheet tobacco drying stage, the thin-sheet hot air temperature, and the thin-sheet condensate water temperature are collected in real time every 30 seconds using the cigarette making equipment management system; the exhaust port wind speed, temperature, and humidity are measured manually on the exhaust pipe using a multi-functional measuring instrument and a handheld temperature and humidity detector respectively. 3 groups of exhaust port wind speed data are measured, with a measurement interval of 20 minutes between groups, 10 data in each group, and a measurement interval of 30 seconds within each group, for a total of 30 data; 3 groups of exhaust port temperature and humidity data are measured, with a measurement interval of 20 minutes between groups, 10 data in each group, and a measurement interval of 30 seconds within each group, for a total of 30 data;

[0135] S2, model establishment

[0136] S2.1, energy balance model in the HT stage

[0137] The energy conservation equation is:

[0138]

[0139] Where: Q1 is the heat absorbed by the cut tobacco for temperature rise (including the heat absorption for the temperature rise of cut tobacco moisture + the heat absorption of cut tobacco dry matter):

[0140]

[0141] Q2 is the energy of liquefaction heat exchange when steam diffuses into the cut tobacco (including the sensible heat of steam without phase change + the latent heat of steam phase change):

[0142]

[0143] Q3 is the heat released by steam during the process from steam to the exhaust port:

[0144]

[0145] Model parameter description:

[0146] W s,in -- Feed rate of materials at the HT inlet, kg / h;

[0147] H s,in -- Moisture content of materials at the HT inlet, %;

[0148] W s,mid -- Flow rate of cut tobacco at the HT outlet, kg / h;

[0149] W s,mid = W s,in + AH(T g,inHT ) × V g,inHT - AH(T g,outHT ) × V g,outHT × RH HT ;

[0150] H s,mid -- Moisture content of materials at the HT outlet, %;

[0151]

[0152] V g,inHT -- Volume flow rate of main steam in HT, m 3 / h;

[0153] V g,outHT -- Volume flow rate of exhaust gas in HT, m 3 / h;

[0154] P g,inHT -- Main steam pressure in HT, P;

[0155] RH HT -- Relative humidity of exhaust gas in HT, %;

[0156] P g,inDHT -- Steam pressure of the lower cover plate in HT, P;

[0157] V g,inDHT -- Volume flow rate of steam of the lower cover plate in HT, m 3 / h;

[0158] T s,in -- Inlet temperature of HT, K;

[0159] T s,mid -- Outlet temperature of HT, K;

[0160] T g,inHT -- Main steam temperature in HT, K;

[0161] T g,outHT -- Exhaust gas temperature in HT, K;

[0162] AH(T) -- Absolute humidity under the saturated vapor pressure of the gas, %;

[0163]

[0164] C p,w -- Heat enthalpy value of water, J / kg / K;

[0165] C p,w = 1.459×10 -6 T 4 - 1.971×10 -3 T 3 + 1.005×T 2 - 228.7T + 23750;

[0166] ΔH w -- Latent heat of water evaporation, J / kg;

[0167]

[0168] C p,t -- Specific heat capacity of cut tobacco, J / kg / K;

[0169]

[0170] S2.2, Energy balance model for the thin-sheet cut tobacco drying stage

[0171] The energy conservation equation is:

[0172]

[0173] Among them: Q4 is the heat released by the hot air:

[0174]

[0175] Q5 is the heat transferred from the steam to the cut tobacco through the thin sheet:

[0176]

[0177] Q6 is the heat dissipated by the cut tobacco itself during cooling (including the heat released by the cut tobacco moisture during cooling + the heat released by the cut tobacco dry matter during cooling):

[0178] Q7 is the heat absorbed by the evaporated water during the drying process (including the sensible heat of water volatilization + the latent heat of water volatilization phase change):

[0179]

[0180] Model parameter description:

[0181] T g,inhot -- Temperature of the thin-sheet hot air, K;

[0182] T g,outhot -- Temperature of moisture exhaust gas from thin plate, K;

[0183] T s,out -- Temperature of material at the thin plate outlet, K;

[0184] T s,mid -- Temperature of cut tobacco at the HT outlet, K;

[0185] V g,inhot -- Volume flow rate of hot air for the thin plate, m 3 / h;

[0186] W s,mid -- Material flow rate at the HT outlet, kg / h;

[0187] H s,mid -- Moisture content of material at the HT outlet, %;

[0188] W s,out -- Material flow rate at the thin plate outlet, kg / h;

[0189] T s,pan -- Temperature of the thin plate, K;

[0190] K H,hot -- Heat transfer coefficient of the thin plate:

[0191] Fitted from actual measurement data: K H,hot = 0.00352 - 0.00373 MJ / (kg*K);

[0192] K H,dry -- Heat transfer coefficient of the material:

[0193] Fitted from actual measurement data: K H,dry = 0.001665 - 0.001832 MJ / (kg*K);

[0194] DES(T) -- Air density, kg / m 3 : DES(T) = 352T -0.9992 ;

[0195] C p,b -- Enthalpy value of air, J / kg / K;

[0196] COP -- Heat conversion efficiency coefficient in the thin plate heat transfer process:

[0197]

[0198] Q5′ is the heat released by the condensed steam for heating the thin plate temperature:

[0199]

[0200] -- Sensible heat of the heat loss of the steam flow, J / kg;

[0201] V g,indry -- Volume flow rate of the thin plate heating steam, m 3 / h;

[0202] T g,indry -- Temperature of the thin plate heating steam, K;

[0203] T g,outdry -- Temperature of the thin plate return water, K;

[0204] ΔH′ w -- Latent heat of the heat loss of the steam flow, J / kg;

[0205] S3. Establish equipment status standards

[0206] S3.1. Determine the total energy consumption range value for each stage according to the corresponding stage of the model;

[0207] S3.2. Determine the energy consumption standard interval for each stage and determine the energy consumption range value for each energy consumption standard interval;

[0208] S3.3. Determine the associated indicators for each energy consumption standard interval and their status standard ranges;

[0209] The established equipment status standards are shown in Table 1:

[0210] Table 1 Equipment status standards

[0211]

[0212] S4. Abnormality analysis

[0213] Based on the data automatically collected in S1 and the energy balance model established in stages in S2, perform material energy balance, and compare the data processing results with the total energy consumption range values for each stage determined in S3 and the energy consumption range values for each energy consumption standard interval;

[0214] Refer to Figure 2 , when abnormal energy balance data appears, determine that the equipment status is abnormal and give an early warning;

[0215] Based on the associated indicators for each energy consumption standard interval determined in S3 and their status standard ranges, generate an abnormal status analysis report, show the associated indicators of the data abnormality, and quickly analyze and locate the abnormal equipment factors.

[0216] Table 2 exemplarily presents a status anomaly analysis report. This analysis report indicates that there are anomalies in the production parameters of the thin plate temperature of the thin plate drying and roasting plate for tobacco, and timely maintenance is required.

[0217] Table 2 Anomaly Analysis Report

[0218]

[0219]

[0220] Example 2

[0221] Intelligent Judgment System for the Status of Thin Plate Drying and Roasting Equipment for Tobacco Based on Energy Balance

[0222] Refer to Figure 1 , including a data acquisition module, a model construction module, a standard establishment module, and an anomaly analysis module;

[0223] The data acquisition module is used for automatically acquiring modeling parameters, model operation data, etc.;

[0224] The model construction module is used to establish an energy balance model for the HT stage and an energy balance model for the thin plate drying and roasting stage based on the material energy balance in stages;

[0225] The standard establishment module is used to determine the total energy consumption range value for each stage according to the corresponding stage of the model; determine the energy consumption standard interval for each stage, and determine the energy consumption range value for each energy consumption standard interval; determine the associated indicators for each energy consumption standard interval and their status standard ranges;

[0226] The anomaly analysis module is used to perform material energy balance based on the data automatically acquired by the data acquisition module and the energy balance model established by the model construction module, and compare the data processing results with the total energy consumption range value for each stage and the energy consumption range value for each energy consumption standard interval determined by the standard establishment module:

[0227] Refer to Figure 2 , when there are anomalies in the energy balance data, determine that the equipment status is abnormal and give an early warning;

[0228] Based on the associated indicators for each energy consumption standard interval and their status standard ranges determined by the standard establishment module, generate a status anomaly analysis report, showing the associated indicators of the data anomaly, and quickly analyze and locate the abnormal equipment factors.

[0229] Example 3

[0230] Apply the intelligent judgment method for the state of the thin-sheet tobacco drying equipment based on energy balance in Embodiment 1 and the intelligent judgment system for the state of the thin-sheet tobacco drying equipment based on energy balance in Embodiment 2 to the thin-sheet tobacco drying process in the cigarette making workshop to automatically determine and give early warnings for the operating state of the thin-sheet tobacco drying equipment. The statistical results of the trial operation are shown in Table 3.

[0231] Summary of Abnormality Analysis Reports in Table 3

[0232]

[0233]

[0234] It should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. Intelligent judgment system for the state of thin-sheet tobacco drying equipment, characterized in that: It includes a data acquisition module, a model construction module, a standard establishment module, and an anomaly analysis module; The data acquisition module is used for automatically acquiring modeling parameters and model operation data; The model construction module is used for establishing an energy balance model for the HT stage and an energy balance model for the thin plate drying and roasting stage in stages based on material energy balance; The standard establishment module is used for determining the total energy consumption range value for each stage according to the corresponding stage of the model; determining the energy consumption standard interval for each stage, and determining the energy consumption range value for each energy consumption standard interval; determining the associated indicators and their status standard ranges for each energy consumption standard interval; The anomaly analysis module is used for performing material energy balance based on the data automatically acquired by the data acquisition module and the energy balance model established by the model construction module, and comparing the data processing results with the total energy consumption range value for each stage and the energy consumption range value for each energy consumption standard interval determined by the standard establishment module: When energy balance data anomalies occur, determine that the equipment status is abnormal and give an alarm; Based on the associated indicators and their status standard ranges for each energy consumption standard interval determined by the standard establishment module, generate a status anomaly analysis report, showing the associated indicators of data anomalies, and quickly analyzing and locating abnormal equipment factors.

2. The intelligent judgment system for the state of thin-sheet tobacco drying equipment according to claim 1, characterized in that: The data acquisition range of the data acquisition module includes physical parameters related to the inlet moisture, inlet flow rate, outlet moisture, exhaust port wind speed, humidity, steam pressure, and flow rate of the thin plate drying and roasting process; and energy-related parameters such as the inlet temperature, outlet temperature, steam temperature, hot air temperature, and exhaust port temperature of the thin plate drying and roasting process.

3. The intelligent judgment system for the state of thin-sheet tobacco drying equipment according to claim 2, characterized in that: The data acquisition method of the data acquisition module is as follows: With the help of the information management system of the silk-making workshop, the inlet temperature, inlet moisture, inlet flow rate, outlet temperature, and outlet moisture data of the thin plate drying and roasting process are collected in real time every 30 seconds; the steam temperature and flow rate in the HT stage and the thin plate drying and roasting stage, the thin plate hot air temperature, and the thin plate condensate temperature data are collected in real time every 30 seconds using the silk-making equipment management system; the exhaust port wind speed, temperature, and humidity are measured manually on the exhaust duct using a multi-functional measuring instrument and a handheld temperature and humidity detector. 3 groups of exhaust port wind speed data are measured, with a measurement interval of 20 minutes between groups, 10 data in each group, and a measurement interval of 30 seconds within each group, for a total of 30 data; 3 groups of exhaust port temperature and humidity data are measured, with a measurement interval of 20 minutes between groups, 10 data in each group, and a measurement interval of 30 seconds within each group, for a total of 30 data.

4. The intelligent judgment system for the state of thin-sheet tobacco drying equipment according to claim 1, characterized in that: The energy balance model for the HT stage The energy conservation equation is: ； Wherein: is the heat absorbed due to the increase in the temperature of cut tobacco, including the heat absorption for the temperature rise of cut tobacco moisture + the heat absorption of cut tobacco dry matter; For the steam to diffuse into the cut tobacco for liquefaction heat exchange energy, it includes the sensible heat of the steam without phase change + the latent heat of the steam phase change; Steam releases heat during the process from steam to the moisture exhaust port; The energy balance model for the thin plate drying and roasting stage The energy conservation equation is: ； Wherein: is the heat released by the hot air; The heat transferred from the steam through the thin plate to the cut tobacco; To cool the cut tobacco itself and dissipate heat, including the heat released by the cooling of the cut tobacco moisture + the heat released by the cooling of the cut tobacco dry matter; Absorb heat for evaporating water during the drying process, including sensible heat of water volatilization + latent heat of phase change of water volatilization.

5. The intelligent judgment system for the state of thin-sheet tobacco drying equipment according to claim 1, characterized in that: The energy consumption standard intervals determined by the standard establishment module include The energy consumption standard intervals for the HT stage include: Leaf cuttings temperature rise and heat absorption Interval, steam enters the leaf cuttings and releases heat Interval, heat transfer from steam to the moisture exhaust port Interval; The energy consumption standard intervals for the thin plate drying and roasting stage include: Hot air releases heat Interval, heat transferred from steam through the thin plate to cut tobacco Interval, heat dissipation from condensed water of steam heating the thin plate Interval, heat dissipation from the cut tobacco itself during cooling Interval, heat absorption by evaporation during cut tobacco drying Interval.

6. The intelligent judgment system for the state of thin-sheet tobacco drying equipment according to claim 1, characterized in that: The associated indicators for each energy consumption standard interval determined by the standard establishment module include Leaf cuttings heating and heat absorption The associated indicators of the interval include: HT inlet material flow rate, HT inlet material moisture, HT inlet temperature, HT outlet temperature; Steam enters the cut tobacco and releases heat The associated indicators of the interval include: HT inlet material flow rate, HT inlet material moisture, HT outlet temperature, HT main steam temperature, HT outlet material flow rate, HT outlet material moisture; Heat transfer from steam to the moisture exhaust port The associated indicators for the interval include: HT main steam volume flow rate, HT main steam temperature, HT exhaust air velocity, HT exhaust air temperature, HT main steam pressure, HT lower cover steam pressure, HT lower cover steam volume flow rate; The hot air releases heat The associated indicators of the interval include: Hot air temperature, hot air velocity, exhaust air temperature; Heat is transferred into cut tobacco through a thin plate by steam The associated indicators of the interval include: HT outlet material flow rate, HT outlet temperature, thin plate outlet material temperature, thin plate temperature; Heat dissipation of steam condensate from heated thin plates The associated indicators for the interval include: Thin plate steam temperature, thin plate steam volume flow rate, thin plate return water temperature; Self-cooling and heat dissipation of cut tobacco The associated indicators of the interval include: HT outlet material flow rate, HT outlet material moisture content, HT outlet temperature, thin plate outlet material temperature; Latent heat absorption during cut tobacco drying The associated indicators of the interval include: HT outlet material flow rate, thin plate outlet material flow rate, exhaust air temperature, HT outlet temperature.

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