Nitrogen preparation and storage oxygen content automatic control system

Abstract

The invention relates to the technical field of tobacco curing, in particular to a nitrogen preparation and storage oxygen content automatic control system which comprises a purity and pressure joint control module, a humidity regulation and optimization module, an oxygen content dynamic regulation and control module, a moisture response regulation module and a multi-parameter coupling linkage module. According to the system, intelligent dynamic adjustment is achieved through multi-parameter real-time collection and linkage feedback, synchronous judgment and optimal adjustment path formation between the nitrogen outlet purity and the pressure of each compression section, and matching of the airflow temperature, the wet film area and the nitrogen humidity, it is guaranteed that humidification is uniform and controllable in combination with automatic comparison of the outlet humidity and the storage target standard, and the system is suitable for large-scale popularization and application. The nitrogen injection flow rate and the outlet humidity directly participate in the active response process of oxygen content change, self-adaptive balance of the storage oxygen environment is achieved, moisture monitoring penetrates through the surface layer and the interior, temperature setting and the wet film area are finely adjusted along with the moisture state, and the nitrogen humidity state is finely matched with the tobacco leaf requirement.

Description

Technical Field

[0001] The present invention relates to the technical field of tobacco leaf maintenance, and particularly to an automatic control system for nitrogen preparation and oxygen content in storage. Background Art

[0002] The field of tobacco leaf maintenance mainly focuses on solving the problems of quality maintenance and safety protection of tobacco leaves during storage and maintenance, with key aspects including insect and mold control, moisture management, environmental gas regulation, etc. The existing technology mainly adopts the gas conditioning method of filling nitrogen to reduce oxygen content, which can effectively inhibit the occurrence of tobacco leaf pests and mildew. However, in practical applications, dry nitrogen will cause the loss of surface moisture of tobacco leaves, affecting their quality. To solve this problem, the industry has tried to introduce a humidification process, but traditional humidification methods have technical difficulties such as difficult purity guarantee, oxygen content increase caused by air leakage, uneven moisture distribution, etc., which are prone to cause tobacco leaf mildew, etc.

[0003] Among them, the automatic control system for nitrogen preparation and oxygen content in storage is a system designed specifically for insect and mold control and quality protection during the storage and maintenance of tobacco leaves. The system includes nitrogen preparation, nitrogen transportation, and an automatic monitoring and regulation unit for the oxygen content in the storage environment. Its main purpose is to achieve the automated management of the tobacco leaf storage environment through the continuous supply of nitrogen and the dynamic regulation of oxygen content, and to provide technical support for links such as tobacco leaf insect and mold control, moisture retention, and quality maintenance.

[0004] The existing technology lacks parameter collaborative feedback and an automatic closed-loop mechanism. Common regulation mainly relies on single gas injection or passive humidification. There is a lack of linkage cooperation between technological links, insufficient matching of nitrogen humidity and temperature, resulting in delayed and uneven humidity regulation. The regulation of outlet purity and pressure fails to correspond to the actual storage requirements in real time. The coverage range of moisture monitoring points is limited and difficult to cover the multi-layer structure of tobacco leaves. Moisture management measures are lagging, prone to local abnormalities. The change in oxygen content can only be detected through intermittent sampling, with an untimely automatic dynamic balance response and being prone to getting out of control after being disturbed. The integration of multi-parameter data acquisition and regulation commands is lacking, with low feedback efficiency, prone to frequent problems of local environmental imbalance, resulting in obvious shortcomings in tobacco leaf quality guarantee and insect and mold protection. Summary of the Invention

[0005] To solve the technical problems existing in the prior art, an embodiment of the present invention provides an automatic control system for nitrogen preparation and oxygen content in storage.

[0006] On the one hand, an automatic control system for nitrogen preparation and oxygen content in storage is provided, including: The purity-pressure joint control module analyzes the deviation between the nitrogen outlet purity and the maintenance standard based on the associated data of tobacco leaf storage, compares the pressure and purity data of each compression section, judges and optimizes the pressure setting of the deviation section, adjusts the pressure to the allowable upper limit, and obtains the purity-pressure regulation state; Based on the purity and pressure regulation status, the humidity adjustment optimization module compares the nitrogen humidity with the storage humidity standard, analyzes the humidity deviation situation, determines the air flow temperature and the demand for the wet film area, optimizes the temperature setting, adjusts the wet film area, and obtains the outlet humidity control parameters; The oxygen content dynamic regulation module calls the outlet humidity control parameters, analyzes the relationship between the oxygen content and the safe range, compares the influence of the nitrogen injection flow rate and the outlet humidity on the oxygen content, determines the flow rate adjustment when exceeding the range, monitors the change of the oxygen content, and obtains the oxygen concentration change trend; The moisture response regulation module, based on the oxygen concentration change trend, determines the difference between the moisture on the surface and inside of the tobacco leaves and the maintenance target, analyzes the demand for temperature regulation due to the moisture state, adjusts the nitrogen outlet temperature, optimizes the wet film coverage, and obtains the moisture control correction amplitude.

[0007] On the other hand, the purity and pressure regulation status includes the pressure setting status, the purity matching status, and the compression section optimization status. The outlet humidity control parameters include the humidity setting parameters, the temperature regulation parameters, and the wet film area parameters. The oxygen concentration change trend includes the oxygen content change rate, the flow rate adjustment characteristics, and the oxygen dynamic characteristics. The moisture control correction amplitude includes the surface moisture regulation parameters, the internal moisture regulation parameters, and the humidification consistency parameters.

[0008] On the other hand, the purity and pressure joint control module includes: Based on the associated data of tobacco leaf storage, the compression section deviation identification sub-module analyzes the actual difference between the nitrogen outlet purity and the tobacco leaf maintenance standard range, compares the pressure monitoring data and the nitrogen purity detection data of each compression section, determines which compression section causes the purity to deviate from the maintenance standard, screens the compression sections that need to be adjusted, and obtains the purity deviation signal group; Based on the purity deviation signal group, the pressure upper limit adjustment sub-module determines the adjustment requirement between the current pressure setting and the limit upper limit of the specified compression section, optimizes the pressure regulation parameters of this compression section, adjusts the upper limit of the pressure allowable range, and obtains the pressure control range parameters; Based on the pressure control range parameters, the purity re-calibration sub-module collects the current detection result of the nitrogen outlet purity, compares the difference between the outlet purity and the maintenance standard range, determines whether the outlet purity returns to the standard, and obtains the purity and pressure regulation status.

[0009] On the other hand, the humidity adjustment optimization module includes: Based on the purity and pressure regulation status, the humidity deviation analysis sub-module detects the nitrogen humidity and the tobacco leaf storage humidity standard, analyzes the difference between the nitrogen humidity and the storage humidity standard, screens the data of the humidity deviation situation, and generates a humidity difference signal; The temperature control judgment sub-module analyzes the correlation between the air flow temperature data and the humidity deviation according to the humidity difference signal, judges the temperature setting adjustment requirements of the temperature control equipment, optimizes the air flow temperature parameters, and generates air flow temperature control parameters. The outlet humidity correction sub-module calls the air flow temperature control parameters, collects the real-time data after the adjustment of the nitrogen outlet humidity, compares the matching situation between the outlet humidity and the tobacco leaf storage humidity standard, judges the current humidity state, and obtains the outlet humidity control parameters.

[0010] On the other hand, when comparing the matching situation between the outlet humidity and the tobacco leaf storage humidity standard, the formula is used: ; Calculate the outlet humidity matching parameter , judge the current humidity state, and obtain the outlet humidity control parameters, where represents the real-time measured value of the nitrogen outlet humidity at the current moment, represents the tobacco leaf storage humidity standard value corresponding to this moment, represents the current pressure value of the outlet nitrogen, represents the current outlet nitrogen flow rate, represents the set nitrogen flow rate adjustment target value, represents the outlet nitrogen flow rate standard value.

[0011] On the other hand, the oxygen content dynamic control module includes: The oxygen concentration deviation identification sub-module calls the outlet humidity control parameters, collects the oxygen content monitoring data, compares it with the safety control interval, judges the actual deviation situation between the oxygen content and the interval, identifies the oxygen content deviation point, determines the deviation direction, and generates the oxygen content distribution characteristics. The flow rate adjustment configuration sub-module compares the nitrogen injection flow rate data with the influence of the outlet humidity change on the oxygen content according to the oxygen content distribution characteristics, judges the relationship between the existing flow rate setting and the oxygen content deviation, adjusts the nitrogen injection flow rate configuration, and obtains the flow rate adjustment parameters. The oxygen concentration change monitoring sub-module calls the flow rate adjustment parameters, collects the continuous change data of the adjusted oxygen content, compares the trend relationship between the change data and the deviation distribution characteristics, and monitors the dynamic characteristics of the oxygen content changing with the flow rate, and obtains the oxygen concentration change trend.

[0012] On the other hand, when comparing the trend relationship between the change data and the deviation distribution characteristics, the formula is used: ; Calculate the oxygen concentration change deviation trend characteristics, monitor the dynamic characteristics of the oxygen content changing with the flow rate, and obtain the oxygen concentration change trend, where represents the oxygen concentration change deviation trend characteristics under the th flow rate adjustment Represents the number of data points collected under the th flow rate adjustment, represents the oxygen content measurement value at the th moment under the th flow rate adjustment, represents the average oxygen content of all collection moments under the th flow rate adjustment, represents the flow rate variation coefficient under the th flow rate adjustment, represents the

[0013] On the other hand, the moisture response adjustment module includes: The moisture difference judgment sub-module analyzes the real-time monitoring data of the moisture on the surface and inside of the tobacco leaves according to the oxygen concentration change trend, judges the deviation direction between the two moisture states and the maintenance target interval, screens the moisture states with deviations, and obtains the moisture state distribution; The temperature setting adjustment sub-module analyzes the corresponding relationship between the current nitrogen outlet temperature setting and the moisture state according to the moisture state distribution, judges whether there is a regulation requirement covering the deviation trend, adjusts the outlet temperature setting, and optimizes the wet film covering area to obtain a temperature control adjustment signal; The humidity matching verification sub-module detects the humidity data of the nitrogen after humidification based on the temperature control adjustment signal, compares the correspondence between this data and the tobacco leaf maintenance humidity standard, judges the consistency between the current humidity distribution and the tobacco leaf maintenance requirements, and obtains the moisture control correction amplitude.

[0014] On the other hand, the system further includes: The multi-parameter coupling linkage module integrates the purity detection, pressure, humidity adjustment, oxygen concentration reduction and moisture monitoring data based on the moisture control correction amplitude, analyzes the deviation between the parameters and the target, screens the parameters with fast response, optimizes the linkage instruction, and obtains the parameter linkage control index; The parameter linkage control index includes the response priority parameter, the linkage adjustment parameter, and the feedback control parameter.

[0015] On the other hand, the multi-parameter coupling linkage module includes: The deviation feature recognition sub-module collects the nitrogen outlet purity, compression section pressure, humidity adjustment output, oxygen concentration reduction rate and tobacco leaf moisture monitoring data based on the moisture control correction amplitude, analyzes the deviation direction and change trend of each data from the maintenance target interval, and obtains the parameter coupling coefficient; The feedback priority screening sub-module determines the response time and change rate of each parameter according to the parameter coupling coefficient, compares the change trends of the parameters in the same period, and screens the indicators with short feedback periods and concentrated offset amplitudes to obtain a group of fast response parameters; The instruction parameter optimization sub-module calls the group of fast response parameters, compares the linkage adjustment sequence and control direction between each parameter, and optimizes the distribution method and control path of the control instruction among the parameters to obtain parameter linkage control indicators.

[0016] The beneficial effects brought by the technical solution provided in the embodiment of the present invention at least include: Through real-time multi-parameter acquisition and linkage feedback, a synchronous discrimination and optimization adjustment path is formed between the purity of the nitrogen outlet and the pressure of each compression section. The matching of the gas flow temperature, wet film area and nitrogen humidity realizes intelligent dynamic adjustment. Combined with the automatic comparison of the outlet humidity and the storage target standard, it is ensured that the humidification is uniform and controllable. The nitrogen injection flow rate and the outlet humidity directly participate in the active response process of the oxygen content change, realizing the adaptive balance of the storage oxygen environment. The moisture monitoring penetrates the surface and the interior, the temperature setting and the wet film area are finely adjusted according to the moisture state, the nitrogen humidity state is finely adapted to the tobacco leaf requirements, and multiple process parameters are efficiently coordinated and linked according to the feedback response cycle, forming an integrated control link. Through multi-level data collaboration and operation closed-loop, the storage humidity, atmosphere and tobacco leaf moisture are always in a dynamically controllable range, and the interference of quality fluctuations and environmental abnormalities is significantly reduced, ensuring that the whole process of tobacco leaf storage and maintenance is safer and more stable. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a system schematic diagram of the present invention; Figure 2 It is a system framework schematic diagram of the present invention; Figure 3 It is a flowchart of the purity-pressure joint control module of the present invention; Figure 4 It is a flowchart of the humidity adjustment and optimization module of the present invention; Figure 5 It is a flowchart of the oxygen content dynamic control module of the present invention; Figure 6 It is a flowchart of the moisture response adjustment module of the present invention; Figure 7 It is a flowchart of the multi-parameter coupling and linkage module of the present invention. Detailed implementation manners

[0019] The technical solutions in the present invention will be described below with reference to the accompanying drawings.

[0020] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as an "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two can be selected.

[0021] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same. "(of)", "corresponding", and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference is not emphasized, the meanings they express are the same.

[0022] In the embodiments of the present invention, sometimes subscripts such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meanings they express are the same.

[0023] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0024] The embodiments of the present invention provide an automatic control system for the oxygen content in nitrogen preparation and storage, as Figure 1 shown. The system includes: The purity-pressure joint control module analyzes the difference between the purity of the nitrogen outlet and the maintenance standard range based on the associated data of tobacco leaf storage, compares the pressures of each compression stage with the nitrogen purity detection data, determines the compression stage deviating from the standard, optimizes the pressure regulation configuration of this stage, adjusts the upper limit of the pressure allowable range, and compares the outlet purity with the standard range again to obtain the purity-pressure regulation state; The humidity regulation optimization module compares the nitrogen humidity with the tobacco leaf storage humidity standard based on the purity-pressure regulation state, analyzes the current humidity deviation situation, determines the regulation requirements for the air flow temperature and the wet film area, optimizes the temperature setting of the temperature control equipment, adjusts the area distribution of the air flow passing through the wet film, and analyzes the matching situation between the adjusted outlet humidity and the humidity standard to obtain the outlet humidity regulation parameters; The oxygen content dynamic regulation module calls the outlet humidity regulation parameters, analyzes the relationship between the oxygen content and the safety control range, compares the effects of the nitrogen injection flow rate and the outlet humidity change on the oxygen content, determines the flow rate adjustment configuration when the oxygen content exceeds the control range, optimizes the nitrogen injection flow rate setting, and monitors the change trend of the oxygen content with the injection adjustment to obtain the oxygen concentration change trend; The moisture response regulation module determines the differences between the surface moisture and internal moisture of the tobacco leaves and the maintenance target range based on the oxygen concentration change trend, analyzes the actual requirements for temperature regulation under the current moisture state, adjusts the nitrogen outlet temperature setting, optimizes the wet film area coverage, and compares the consistency between the humidity of the humidified nitrogen and the tobacco leaf maintenance requirements to obtain the moisture regulation correction range; The multi-parameter coupling and linkage module integrates the nitrogen outlet purity detection, the pressure of each compression section, the humidity regulation output, the oxygen concentration reduction rate, and the tobacco leaf moisture monitoring data based on the moisture regulation correction range, analyzes the deviation of each parameter from the maintenance target range, screens the parameters with a short feedback response period, and optimizes the linkage regulation instructions for each parameter to obtain the parameter linkage regulation index.

[0025] The purity and pressure regulation status includes the pressure setting status, the purity matching status, and the compression section optimization status. The outlet humidity regulation parameters include the humidity setting parameters, the temperature regulation parameters, and the wet film area parameters. The oxygen concentration change trend includes the oxygen content change rate, the flow rate adjustment characteristics, and the oxygen dynamic characteristics. The moisture regulation correction range includes the surface moisture regulation parameters, the internal moisture regulation parameters, and the humidification consistency parameters. The parameter linkage regulation index includes the response priority parameters, the linkage adjustment parameters, and the feedback control parameters.

[0026] The associated data of tobacco leaf storage refers to the real-time or historical data reflecting the storage environment and state of tobacco leaves, including comprehensive information such as tobacco leaf type, storage temperature and humidity, oxygen level, storage batch, storage time, etc., providing a basic basis for nitrogen preparation and regulation; the nitrogen outlet purity refers to the purity detection result of nitrogen at the outlet of the nitrogen generation device or preparation system, reflecting the proportion of nitrogen molecules in the nitrogen product, which is directly related to the quality standard of the storage protection atmosphere; the compression section pressure refers to the actual pressure data generated by each stage of compressor or gas separation unit in the nitrogen preparation system at different stages. The adjustment of the pressure in each section affects the subsequent nitrogen purity and supply stability; the upper limit of the pressure allowable range refers to the upper limit value of the allowable pressure range set for a certain compression section in the system according to the equipment or process specifications, which is the parameter limit standard for safety and process optimization. The nitrogen humidity refers to the water content or relative humidity level in the nitrogen flow after preparation, which affects the maintenance and regulation of the tobacco leaf moisture in the storage environment; the tobacco leaf storage humidity standard refers to the humidity range required to be maintained during the storage of tobacco leaves, which is a key process parameter for tobacco leaf maintenance, quality preservation, and mold and pest control; the air flow temperature refers to the temperature of the nitrogen air flow during humidification, mixing, or transportation, which is an important parameter affecting the nitrogen humidity adjustment and the balance of the tobacco leaf environment; the wet film area refers to the actual working area of the wet film used to increase the nitrogen humidity in the humidification equipment, and the contact efficiency between the air flow and water is affected by adjusting the area. The flow rate adjustment configuration refers to the adjustment strategy or setting method for the nitrogen injection speed (flow rate) when the current oxygen content deviates from the target. It usually involves the adjustment of valves and flow meters to ensure that the oxygen content dynamically tends to the set range. The nitrogen outlet temperature setting refers to the setting of the actual temperature parameter of nitrogen after humidification or before injection into the storage, which affects the humidity and moisture regulation in the tobacco leaf storage; the humidity of nitrogen after humidification refers to the actual humidity state of nitrogen before entering the storage area after passing through the humidification process link, which is directly related to the effectiveness of tobacco leaf moisture management and environmental regulation. A short feedback response cycle refers to the response time characteristic that parameters can complete the regulation action in a short time after monitoring and analysis, which is the basis for realizing multi-parameter linkage and rapid adaptive adjustment of the system; the linkage regulation instruction refers to the combined adjustment command for multiple key parameters issued by the system central control unit, covering links such as nitrogen purity, pressure, humidity, and oxygen content, to achieve multi-objective collaborative control of the system.

[0027] As Figure 2 and Figure 3 shown, the purity-pressure linkage control module includes: The compression section deviation identification sub-module analyzes the actual difference between the nitrogen outlet purity and the tobacco leaf maintenance standard range based on the associated data of tobacco leaf storage, compares the pressure monitoring data of each compression section with the nitrogen purity detection data, determines which compression section causes the purity deviation from the maintenance standard, screens the compression sections that need to be adjusted, and obtains a purity deviation signal group; Call the maintenance record of the current storage batch, extract the standard maintenance purity range of the tobacco leaves in this batch as 98.3% to 99.8%. Subsequently, obtain the current outlet purity detection value of 97.9% from the nitrogen purity sensor. After calculating the purity deviation, it is determined that the current purity is lower than the standard lower limit and marked as a negative deviation. Then, retrieve the real-time pressure monitoring values of the fifth-stage compression section set in the nitrogen preparation system, which are 2.5, 2.4, 2.8, 2.1, and 2.6 MPa respectively. At the same time, retrieve the reference standard pressure values of each section, which are 2.6, 2.5, 2.8, 2.4, and 2.7 MPa respectively. Compare the difference between the actual pressure and the standard pressure of each section. It is found that the pressure in the fourth section is 0.3 MPa lower than the standard. Set the judgment threshold that the section with a deviation exceeding 0.2 MPa is regarded as an abnormal section. Initially screen out the fourth section as the main influencing section. Then, call the historical outlet purity data and compare it with the pressure record of the fourth section for time trend comparison. It is found that both of them have decreased synchronously in the past 30 minutes. Further check that the temperature and flow rate data of the fourth section are within the normal range. After excluding other potential abnormalities, confirm that the fourth section is the main cause of the nitrogen purity deviation, and record the section number and its deviation amount.

[0028] The pressure upper limit adjustment sub-module judges the adjustment requirement between the current pressure setting and the limit upper limit of the specified compression section based on the purity deviation signal group, optimizes the pressure adjustment parameters of this compression section, and adjusts the upper limit of the pressure allowable range to obtain the pressure control range parameters. According to the compression section number in the purity deviation signal group, read the current set pressure value of the fourth section as 2.1 MPa, retrieve the maximum allowable pressure upper limit value of this section as 2.6 MPa, and then compare the recommended operating reference pressure as 2.4 MPa. It is found that the current set pressure is 0.3 MPa lower than the recommended value. Set the single allowable adjustment amplitude as 0.1 MPa, and three rounds of adjustment are required to reach the target pressure. Subsequently, evaluate the feedback cycle and execution response ability of the control. Confirm that the feedback stabilization time after each round of adjustment is 5 minutes. Plan to gradually increase the pressure from 2.1 MPa to 2.4 MPa. The control unit synchronously updates the pressure set value and the allowable upper limit value of this section, and adjusts the new allowable upper limit to 2.42 MPa to ensure that the set pressure can be normally maintained after adjustment and there is an error buffer space.

[0029] The purity recalibration sub-module collects the current detection result of the nitrogen outlet purity based on the pressure control range parameters, compares the difference between the outlet purity and the maintenance standard range, and judges whether the outlet purity returns to the standard to obtain the purity pressure adjustment state. Within ten minutes after the pressure parameter adjustment, the average value of the nitrogen outlet purity was recollected, and the sampling result was recorded as 98.6%. After calculating the average value through continuous sampling at one-minute intervals for ten times, the standard purity range of the tobacco leaves was retrieved as 98.3% to 99.8%. The comparative tolerance deviation was set at 0.2%. Comparing the collected value with the standard lower limit of 98.3%, the difference was 0.3%, exceeding the preset judgment limit, indicating that the current purity had returned to the standard range. Further, the injection flow rate data was retrieved as 0.75 cubic meters per minute, and the fluctuation range was within the allowed ±0.05 cubic meters per minute. It was confirmed that the current operation was stable. Then, the current outlet purity was compared with the value of 97.9% before adjustment, and the purity improvement rate was calculated as 0.7%. Thus, it was determined that the system after the adjustment of the compression section had returned to the maintenance standard requirements, and the current state was marked as the purity pressure adjustment state.

[0030] As Figure 2 and Figure 4 shown, the humidity adjustment optimization module includes: The humidity deviation analysis sub-module, based on the purity pressure adjustment state, detects the nitrogen humidity and the tobacco leaf storage humidity standard, analyzes the difference between the nitrogen humidity and the storage humidity standard, screens the data of the humidity deviation situation, and generates a humidity difference signal; Read the standard humidity range of the tobacco leaf storage corresponding to the currently set maintenance batch from the database. This range is 58% to 65% relative humidity. Then, call the real-time monitoring data of the nitrogen outlet humidity. The current collected value is 52%. Directly compare the current nitrogen humidity with the standard lower limit value of the tobacco leaf storage humidity, and calculate the humidity difference as 6%. Then, determine the interval of the difference size. When the humidity deviation amount exceeds 5%, it is marked as a serious deviation. The deviation judgment threshold set in the system is ±3%. Since the current difference exceeds the judgment threshold, it is judged as a significant deviation state. Subsequently, enter the data screening process. Call 30 groups of humidity data recorded every minute in the past 30 minutes. Calculate the difference between each group of humidity and the standard lower limit value in turn, screen out all the humidity values lower than the standard, and count the number of low-value occurrences as 24 times, accounting for 80%. It is confirmed that the humidity deviation is not an instantaneous fluctuation but a continuous trend. Further, associate the time period of the purity pressure adjustment state. It is found that the time point when the nitrogen outlet purity returns to stability is 09:30, and the time point when the humidity anomaly starts is 09:25. Verify that there is a time overlap relationship between the humidity deviation and the purity recovery. Combine the humidity deviation level label set in the system. If the difference is less than 3%, it is marked as a slight deviation. If the difference is between 3% and 5%, it is a medium deviation. If it exceeds 5%, it is a serious deviation. The sampling result of this time is classified as a serious deviation. Combine this judgment state with the humidity difference data to generate a humidity difference signal.

[0031] The temperature control judgment sub-module analyzes the correlation between the air flow temperature data and the humidity deviation according to the humidity difference signal, judges the temperature setting adjustment requirements of the temperature control equipment, optimizes the air flow temperature parameters, and generates the air flow temperature control parameters. Call the real-time sampling value of the air flow temperature in the current nitrogen pipeline. The current value is 24 °C. Then retrieve the historical temperature trend data of the previous 30 minutes, and conduct a parallel comparison in combination with the humidity data to analyze the fluctuation relationship between the temperature range change and the humidity deviation value. It is found that the humidity stability is poor when the temperature is in the range of 22 °C to 24 °C, while the humidity fluctuation decreases when the temperature is above 26 °C. Subsequently, pair and record the air flow temperature and the outlet humidity, extract the data groups within the same time period, perform a difference comparison, select 5 representative data groups to construct a trend chart, and judge from the analysis that there is a positive correlation between the air flow temperature and the humidity. When the temperature rises by 2 °C, the humidity increases by about 4% on average. Calculate the required temperature adjustment range as 3 °C based on the actual gap that the current humidity is 6% lower than the standard. The target temperature needs to be raised to 27 °C. Then, in combination with the adjustment range of the temperature control equipment, set the temperature control adjustment step size to 1 °C. It is expected that the adjustment will be completed in three rounds. Subsequently, evaluate that the adjustment interval time of the existing equipment is 5 minutes per round. The control unit updates the current target temperature setting to 27 °C, marks it as the current target setting temperature, generates the air flow temperature control parameters and writes them into the control instruction queue.

[0032] The outlet humidity correction sub-module calls the air flow temperature control parameters, collects the real-time data after the adjustment of the nitrogen outlet humidity, compares the matching situation between the outlet humidity and the tobacco leaf storage humidity standard, judges the current humidity state, and obtains the outlet humidity control parameters. Compare the matching situation between the outlet humidity and the tobacco leaf storage humidity standard, using the formula: ; Calculate the outlet humidity matching parameter to quantitatively represent the matching degree between the current nitrogen outlet humidity and the tobacco leaf storage humidity standard. The smaller the value, the smaller the deviation between the current outlet humidity and the standard humidity, and the closer it is to the matching state. The larger the value, the larger the deviation and the lower the matching degree. Judge the current humidity state to obtain the outlet humidity control parameters, where represents the real-time measured value of the nitrogen outlet humidity at the current moment, represents the tobacco leaf storage humidity standard value corresponding to this moment, represents the current pressure value of the outlet nitrogen, represents the current outlet nitrogen flow rate, represents the set nitrogen flow rate adjustment target value, represents the outlet nitrogen flow rate standard value; The relative humidity of the nitrogen outlet is monitored in real time by the outlet humidity sensor, sampled once per second by the data acquisition terminal and averaged. The value before normalization is After interval normalization, the value is ; Retrieve the humidity standard value of the corresponding process section from the database. The value before normalization is , and the value after normalization is ; Measure the nitrogen outlet pressure by a pressure transmitter, access and read it in the automatic control system. The value before normalization is , and the value after interval normalization is ; Collect the current instantaneous volume flow rate of the nitrogen pipeline by the real-time flow monitoring system. The value before normalization is , and the value after normalization is ; Provided by the control strategy setting target value, and adjusted feedback for the humidity deviation of the previous cycle. The value before normalization is , and the value after normalization is ; is the standard nitrogen outlet flow rate. The value before normalization is , and the value after normalization is .

[0033] Substitute into the calculation process as follows: Calculate the humidity deviation term ; Calculate the flow deviation term ; Calculate the outlet humidity matching parameter ; The result shows that there is a certain high phenomenon in the current nitrogen outlet humidity compared with the tobacco leaf storage standard humidity, and at the same time, there is an obvious difference between the nitrogen flow rate and the adjustment target. The numerical result is used to judge the matching degree between the current humidity state and the standard humidity. The system will further execute the outlet humidity regulation operation based on this matching parameter and adjust the flow rate and pressure parameters.

[0034] As Figure 2 and Figure 5 shown, the oxygen content dynamic regulation module includes: The oxygen concentration deviation identification sub-module calls the outlet humidity regulation parameters, collects the oxygen content monitoring data, compares it with the safety control interval, judges the actual deviation situation of the oxygen content from the interval, identifies the oxygen content deviation point, determines the deviation direction, and generates the oxygen content distribution characteristics; Extract the currently set humidity adjustment parameters from the outlet humidity control module, including the current air flow humidification area, humidification time, and target humidity value of 61%. Subsequently, continuously read the real-time oxygen content detection data for the past 30 minutes from the oxygen content monitoring device, collect a total of 30 sets of sample data, and record the oxygen concentration value range from 1.8% to 2.6%. Then, retrieve the upper and lower limit values of the set oxygen content safety control interval, which are 1.5% to 2.0% respectively. Compare the oxygen concentration value at each sampling point with the control upper limit of 2.0%. It is determined that there are 12 sets of samples exceeding the upper limit, accounting for 40%. Further analyze the time distribution of the deviated samples and find that they are concentrated within 15 minutes after the adjustment of the humidity control parameters and coincide with the nitrogen humidity curve. At the 5th minute after the start of humidity control, the oxygen content rapidly rises from 1.9% to 2.3% and then continues to fluctuate. It is determined that the humidity adjustment causes the oxygen concentration to rise. Next, identify the maximum deviation point during the period when the oxygen concentration exceeds the set upper limit as 2.6%, and the deviation direction is determined as a positive deviation, that is, the oxygen content is higher than the upper limit value of the control interval. Subsequently, count the humidity control parameter configuration corresponding to the deviation point as a 20% expansion of the wet film area and a 3°C increase in the air flow temperature. Combine the data change trend to identify the coupling effect of humidity control on oxygen concentration as enhancing the oxygen penetration rate. Record the deviation point concentration value, corresponding time point, deviation direction, and the resulting humidity control parameters, and integrate them to generate the oxygen content distribution characteristics.

[0035] The flow rate adjustment configuration sub-module compares the influence of the nitrogen injection flow rate data and the outlet humidity change on the oxygen content according to the oxygen content distribution characteristics, judges the relationship between the existing flow rate setting and the oxygen content deviation, and adjusts the nitrogen injection flow rate configuration to obtain the flow rate adjustment parameters; Retrieve the nitrogen injection flow rate record data within the identified oxygen concentration offset time period. The average injection flow rate during this time period is 0.65 cubic meters per minute. Subsequently, compare this flow rate with the oxygen content offset value point by point. During the period of rising oxygen content, the nitrogen flow rate is stably maintained within the range of 0.65 to 0.7 cubic meters per minute. Combining with the humidity change data, it is monitored that the humidity rises from 59% to 64% in the same time period, which is consistent with the oxygen concentration change trend. It is judged that the change in system airtightness caused by humidity regulation fails to effectively suppress the increase in oxygen concentration. It is necessary to further confirm whether the reaction lag is caused by insufficient flow rate configuration. Call the flow rate-oxygen concentration response sample data under standard conditions, where for every 0.1 cubic meter per minute increase in flow rate in the same volume storage space, the oxygen content can be reduced by 0.3%. Combining the difference of 0.6% between the current maximum offset value of 2.6% and the control upper limit of 2.0%, the required adjusted flow rate is inversely deduced to be approximately 0.2 cubic meters per minute. Set the target flow rate to 0.85 cubic meters per minute. Subsequently, evaluate that the single adjustment step of flow rate adjustment is set to 0.05 cubic meters per minute. It is estimated that 4 rounds of adjustment need to be executed, with an interval of 5 minutes between each round. Record the corresponding oxygen concentration feedback values before and after the flow rate adjustment for monitoring, output the updated target flow rate, adjustment step, execution period, and historical offset point comparison table, and generate flow rate adjustment parameters.

[0036] The oxygen concentration change monitoring sub-module calls the flow rate adjustment parameters, collects the continuous change data of the oxygen content after adjustment, compares the trend relationship between the change data and the offset distribution characteristics, and monitors the dynamic characteristics of the oxygen content changing with the flow rate to obtain the oxygen concentration change trend; Compare the trend relationship between the change data and the offset distribution characteristics, using the formula: ; Calculate the oxygen concentration change offset trend characteristics, monitor the dynamic characteristics of the oxygen content changing with the flow rate, and obtain the oxygen concentration change trend. Among them, represents the oxygen concentration change offset trend characteristics under the th flow rate adjustment. The oxygen concentration change offset trend characteristics refer to the degree of deviation of the oxygen concentration from the ideal change trend during the process of flow rate adjustment or other condition changes. By monitoring the change of oxygen concentration with the flow rate or other influencing factors over a period of time, the relationship between the oxygen concentration and factors such as the flow rate can be calculated, and whether the trend of oxygen concentration change meets the expectation can be evaluated. represents the number of data points collected under the th flow rate adjustment, represents the th flow rate adjustment, and the th moment's oxygen content measurement value, represents the average oxygen content of all collected moments under the th flow rate adjustment, represents the Flow rate change coefficient under the secondary flow rate adjustment represents the flow rate value at the th moment under the secondary flow rate adjustment, and represents the average flow rate of all acquisition moments under the secondary flow rate adjustment; Oxygen content measurement value is collected once every 10 seconds by a dissolved oxygen analyzer, and the flow rate value is obtained synchronously by a flow meter. The number of acquisition groups under this secondary flow rate adjustment is . The average oxygen content is obtained by arithmetic averaging of all oxygen content measurement values: ; The average flow rate is obtained by arithmetic averaging of all flow rate values: ; The flow rate change coefficient is obtained through regression analysis of previous data and fluctuates in the range of 0.05 to 0.3. The correlation coefficient between the current flow rate and the oxygen content is 0.7. Set , and the following monitoring data is collected. All values are obtained in real time by equipment detection: , ; , ; , ; , ; Calculate the average oxygen content: ; Calculate the average flow rate: ; Substitute the parameters into the main formula, : ; Calculate item by item: ; ; ; ; Sum up each item: ; Result of the main formula ; This result indicates that under the current flow rate adjustment, the comprehensive offset trend value of the oxygen concentration change and the flow rate change is zero, indicating that the dynamic change of the oxygen content with the flow rate adjustment remains stable. This numerical result directly characterizes the trend of the oxygen concentration change and can be used as a basis for quantitative judgment of the trend characteristics in the evaluation of the oxygen concentration fluctuation characteristics and subsequent analysis; As Figure 2 and Figure 6 shown, the moisture response adjustment module includes: The moisture difference judgment sub-module analyzes the real-time monitoring data of the surface moisture and internal moisture of the tobacco leaves based on the oxygen concentration change trend, judges the offset direction between the two moisture states and the maintenance target interval, screens the moisture states with offsets, and obtains the moisture state distribution; Call the moisture monitoring point data of the current batch of tobacco leaves from the database, which are divided into two categories: surface moisture and internal moisture. Among them, the current surface moisture monitoring value is 14.2%, and the internal moisture value is 17.9%. Subsequently, retrieve the maintenance target interval set for the corresponding tobacco leaf variety. The surface moisture target interval is 13% to 14.5%, and the internal moisture target interval is 16% to 18%. Compare the current detection value with the upper and lower limits of the target interval. It is judged that the current surface moisture is near the standard upper limit and is in a critical qualified state. The internal moisture is lower than the target upper limit but higher than the lower limit, belonging to the normal state interval. Next, according to the set judgment rule, judge the offset direction. If the moisture is higher than the upper limit, it is regarded as a positive offset, and if it is lower than the lower limit, it is a negative offset. In the current state, the surface moisture is close to the upper limit boundary and needs to be marked as a positive critical offset point. Subsequently, screen the historical moisture records of the past 1 hour to find continuous abnormal change trends. According to the definition, if the moisture exceeds any interval boundary within 5 consecutive sampling periods, it is marked as an offset state. In this batch, the surface moisture exceeded 14.5% 4 times in the recent 5 cycles, and it is judged that the actual offset is established. Record this offset point and label the offset type as "positive offset of surface moisture". At the same time, there is no abnormal record of the internal moisture and it is judged to be normal. Integrate the state values, offset judgment results, and offset directions of the two types of moisture to form the moisture state distribution.

[0037] The temperature setting adjustment sub-module analyzes the corresponding relationship between the current nitrogen outlet temperature setting and the moisture state according to the moisture state distribution, judges whether there is a need for adjustment to cover the offset trend, adjusts the outlet temperature setting, and optimizes the wet film coverage area to obtain a temperature control adjustment signal; The current nitrogen outlet temperature setting value is read as 26°C. This setting value comes from the adjustment result of the last humidity control stage. Then, the current surface moisture offset state is compared. Combined with the recorded temperature-moisture control relationship table, the historical control records under the same type of tobacco leaves and humidity settings are extracted to find out that when the surface moisture is higher than the standard, the outlet temperature needs to be appropriately lowered to reduce the surface moisture absorption trend. Analysis shows that when the temperature is reduced by 1°C, the surface moisture can be reduced by 0.3%. The current surface moisture offset is 0.2%. It is estimated that the required temperature adjustment range is within 1°C. The lower limit of the minimum temperature is set to 24°C. It is determined that the current set temperature still has room for downward adjustment, so the new temperature setting value is then lowered to 25℃ and entered into the control system. The current wet film working status data is then called, and the wet film coverage area is currently 60%. The humidification efficiency is re-evaluated based on the adjusted air flow temperature, and the temperature-humidity ratio adjustment curve is set to increase the wet film coverage area by 5% for every 1℃ decrease in temperature. This time, the temperature is lowered by 1℃ and the wet film coverage area is adjusted to 65%. Finally, the current temperature control adjustment signal content is generated, including the temperature setting value of 25℃, the wet film area of 65%, the adjustment time point and the adjustment reason label, which constitute an integrated control instruction.

[0038] The humidity matching verification submodule detects the nitrogen humidity data after humidification based on the temperature control adjustment signal, compares the correspondence between the data and the tobacco leaf curing humidity standard, determines the consistency between the current humidity distribution and the tobacco leaf curing requirements, and obtains the moisture control correction amplitude; The humidity detection value at the nitrogen outlet after humidification is collected, and the detection result is 62.1%. Then, the set tobacco leaf curing humidity standard range is called as 58% to 65%. The comparison operation is performed to determine whether the current humidity value after humidification is within the range, and the median of the standard range of 61.5% is used as the matching reference value. The difference between the current humidity and the reference value is calculated, and the difference is 0.6%. The humidity matching threshold is set to ±1%. The current difference is less than the threshold, and it is determined that the humidity after humidification meets the matching requirements. The humidity distribution trend is further analyzed. The humidity recording points in the past 10 minutes are analyzed, and it is found that the fluctuation range is within ±0.5%, which is generally stable. Combined with the real-time monitoring data of tobacco leaves, the surface moisture content drops from 14.2% to 13.8%, and the internal moisture content is maintained at 17.9%, indicating that the regulation is effective. The correction amplitude of the current humidity control is calculated as a 1°C decrease in temperature, a 5% increase in wet film area, and a 1.2% increase in nitrogen humidity. The correction amplitude data is written into the system control feedback path and output as the moisture control correction amplitude.

[0039] like Figure 2 and Figure 7 As shown, the multi-parameter coupling linkage module includes: Based on the moisture regulation correction amplitude, the deviation feature recognition sub-module collects the nitrogen outlet purity, compression section pressure, humidity regulation output, oxygen concentration reduction rate, and tobacco leaf moisture monitoring data, analyzes the deviation direction and change trend of each data item from the maintenance target range, and obtains the parameter coupling coefficient; Call the adjustment parameter values recorded in the moisture correction feedback, that is, the temperature setting is lowered from 26°C to 25°C, the wet film coverage area is increased from 60% to 65%, and the nitrogen humidity is increased from 60.8% to 62.1%. Subsequently, within 5 minutes after the adjustment, the nitrogen outlet purity value of 98.5% is synchronously collected, the five-stage pressure values of the compression section are 2.5, 2.6, 2.8, 2.4, and 2.6 MPa respectively, the humidity regulation output value is 62.1%, the oxygen concentration reduction rate is reduced from the original 2.5% to 1.9%, the surface moisture of the tobacco leaf is reduced from 14.2% to 13.8%, and the internal moisture is maintained at 17.9%. Then, each data item is compared item by item with the corresponding maintenance target range. For example, the target range of the outlet purity is 98.3% to 99.8%, and the current value falling within the range is judged to be qualified. The target of the surface moisture is 13% to 14.5%, and the current value of 13.8% is also within the range but is a relatively high value at the upper end. According to the system settings, if the parameter is within 10% of the target range edge, it is marked as critical, and if it exceeds the upper and lower limits, it is an offset. According to this rule, the offset direction of each parameter is marked. Among them, the offset direction of the oxygen concentration reduction rate is a positive decline, the purity change is stable, and the moisture shows a slightly negative offset trend. Subsequently, a data relationship table is established for all offset parameters, and the set parameter change trend recognition logic is called. The change amount of each parameter within 10 minutes is calculated with the central value of the corresponding target range to obtain the change rate. For example, the change rate of the surface moisture is -0.4% / 10 minutes, and the change rate of the oxygen concentration is -0.6% / 10 minutes. After normalizing all parameter change rates, the coupling degree analysis between parameter pairs is carried out, and the coupling degree coefficient between parameters is calculated according to the consistency of the offset direction and the similarity of the change rates. For example, the coefficient between oxygen concentration and moisture is 0.78, and the coefficient between humidity and outlet purity is 0.44. The coupling coefficients of all five parameters are screened out.

[0040] Based on the parameter coupling coefficient, the feedback priority screening sub-module judges the response time and change rate of each parameter, compares the change trends of the parameters within the same period, and screens out the indicators with short feedback periods and concentrated offset amplitudes to obtain a group of fast-response parameters; First, extract the change rate values of five parameters output by the previous module, and record them as oxygen concentration -0.6%, moisture -0.4%, humidity +1.3%, outlet purity +0.1%, and the change in compression section pressure is less than 0.05%. Subsequently, retrieve the feedback response time records of each parameter. In the current configuration, the response period of the oxygen concentration monitoring device is 30 seconds, the moisture monitoring period is 60 seconds, the humidity is 20 seconds, the purity is 90 seconds, and the pressure is 120 seconds. Set the judgment basis for the feedback period priority as that the parameters with a period less than 60 seconds and a change amplitude exceeding 0.3% are fast response items. According to this rule, three parameters, namely oxygen concentration, humidity, and moisture, meet the conditions. Then, draw the change curves of the three selected parameters on the same time axis to observe whether their change directions are consistent. Among them, the oxygen concentration and moisture both decrease synchronously, and the humidity increases, showing a negative-negative-positive characteristic in the offset direction. Set that if any two directions are consistent, they are marked as a coupling group. Currently, the oxygen concentration and moisture can form a group, and the humidity forms an independent group. Subsequently, compare whether the average offsets of the parameters within each group are concentrated within three consecutive time periods. The average offset of the oxygen concentration and moisture fluctuates less than ±0.2%, and the humidity fluctuates by ±0.5%, meeting the requirement of the set concentrated fluctuation range of ±0.3%. Confirm that the oxygen concentration and moisture group is the stable offset feedback priority item and form a fast response parameter group with them.

[0041] The instruction parameter optimization sub-module calls the fast response parameter group, compares the linkage adjustment sequence and control direction between each parameter, optimizes the distribution method and control path of the control instructions among the parameters, and obtains the parameter linkage control index; Read the historical data of the last five rounds of regulation of the two parameters of oxygen concentration and moisture, analyze their respective first response times and the adjustment sequence records of the corresponding control items. The historical data shows that the first response time of the oxygen concentration to the flow rate regulation is 90 seconds, and the first response time of the moisture to the temperature regulation is 120 seconds. In the first two rounds of the control sequence, the flow rate is adjusted first and then the temperature. Set that if the response time difference is less than 60 seconds, it is judged as a parameter that can be linked. The current difference is 30 seconds, meeting the linkage standard. Subsequently, analyze whether the offset change directions of the two are consistent within the same regulation period. The oxygen concentration and moisture both show a downward trend in the 2nd and 3rd rounds of regulation, and they are classified as having the same direction. Then, establish a weight table for the distribution of instructions between the parameters. Set the basic weight as the reciprocal normalization value of the response speed. The weight of the oxygen concentration is 0.55, and the weight of the moisture is 0.45. Combining the historical instruction execution success rates of 96% and 89% respectively, the final weights of the oxygen concentration and moisture are obtained as 0.57 and 0.43 after introducing the success rate weighted correction. According to this weight, the control instructions are distributed. The flow rate instruction is mainly distributed to the oxygen concentration control chain, and the temperature instruction is distributed to the moisture control chain. The optimized control path is the sequence of flow rate - oxygen concentration - temperature - moisture. Finally, write this instruction chain, distribution weight, and trigger priority into the control system, and output it as the parameter linkage control index.

[0042] It should be understood that the term "and / or" in this text is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. Additionally, the character " / " in this text generally represents an "or" relationship between the preceding and following associated objects, but it may also represent an "and / or" relationship, which can be specifically understood by referring to the context before and after.

[0043] In the present invention, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or its similar expressions refer to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0044] It should be understood that in various embodiments of the present invention, the magnitudes of the sequence numbers of the above processes do not imply the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0045] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0046] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the devices, apparatuses, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0047] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other forms.

[0048] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0049] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0050] If the above function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0051] As described above, the above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. An automatic control system for oxygen content in nitrogen preparation and storage, characterized in that, The system includes: The purity-pressure joint control module analyzes the deviation between the purity of the nitrogen outlet and the curing standard based on the associated data of tobacco leaf storage, compares the pressure and purity data of each compression section, judges and optimizes the pressure setting of the deviation section, adjusts the pressure to the allowable upper limit, and obtains the purity-pressure adjustment state; The humidity adjustment and optimization module compares the nitrogen humidity with the storage humidity standard based on the purity-pressure adjustment state, analyzes the humidity deviation situation, judges the airflow temperature and the demand for the wet film area, optimizes the temperature setting, adjusts the wet film area, and obtains the outlet humidity control parameters; The oxygen content dynamic control module calls the outlet humidity control parameters, analyzes the relationship between the oxygen content and the safe range, compares the influence of the nitrogen injection flow rate and the outlet humidity on the oxygen content, judges the flow rate adjustment when exceeding the range, monitors the change of the oxygen content, and obtains the oxygen concentration change trend; The moisture response adjustment module judges the difference between the moisture on the surface and inside of the tobacco leaf and the curing target based on the oxygen concentration change trend, analyzes the demand for temperature adjustment due to the moisture state, adjusts the nitrogen outlet temperature, optimizes the wet film coverage, and obtains the moisture control correction amplitude.

2. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 1, wherein The purity-pressure adjustment state includes the pressure setting state, the purity matching state, and the compression section optimization state. The outlet humidity control parameters include the humidity setting parameter, the temperature control parameter, and the wet film area parameter. The oxygen concentration change trend includes the oxygen content change rate, the flow rate adjustment characteristic, and the oxygen dynamic characteristic. The moisture control correction amplitude includes the surface moisture adjustment parameter, the internal moisture adjustment parameter, and the humidification consistency parameter.

3. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 1, characterized in that, The purity-pressure joint control module includes: The compression section deviation identification sub-module analyzes the actual difference between the purity of the nitrogen outlet and the tobacco leaf curing standard range based on the associated data of tobacco leaf storage, compares the pressure monitoring data of each compression section with the nitrogen purity detection data, judges which compression section causes the purity deviation from the curing standard, screens the compression sections that need to be adjusted, and obtains the purity deviation signal group; The pressure upper limit adjustment sub-module judges the adjustment demand between the current pressure setting of the specified compression section and the limit upper limit based on the purity deviation signal group, optimizes the pressure adjustment parameters of this compression section, adjusts the upper limit of the pressure allowable range, and obtains the pressure control range parameters; The purity recalibration sub-module collects the current detection result of the nitrogen outlet purity based on the pressure control range parameters, compares the difference between the outlet purity and the curing standard range, judges whether the outlet purity returns to the standard, and obtains the purity-pressure adjustment state.

4. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 1, characterized in that, The humidity adjustment and optimization module includes: The humidity deviation analysis sub-module detects the nitrogen humidity and the tobacco leaf storage humidity standard based on the purity-pressure adjustment state, analyzes the difference between the nitrogen humidity and the storage humidity standard, screens the data of the humidity deviation situation, and generates a humidity difference signal; The temperature control judgment sub-module analyzes the correlation between the airflow temperature data and the humidity deviation according to the humidity difference signal, judges the adjustment demand for the temperature setting of the temperature control equipment, optimizes the airflow temperature parameters, and generates the airflow temperature control parameters; The outlet humidity correction sub-module calls the airflow temperature control parameters, collects the real-time data after the adjustment of the nitrogen outlet humidity, compares the matching situation between the outlet humidity and the tobacco storage humidity standard, judges the current humidity state, and obtains the outlet humidity control parameters.

5. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 4, characterized in that, The comparison of the matching situation between the outlet humidity and the tobacco storage humidity standard adopts the formula: ； Calculate the outlet humidity matching parameter , determine the current humidity status, and obtain the outlet humidity control parameter, where represents the real-time measured value of the nitrogen outlet humidity at the current moment, represents the standard value of the tobacco leaf storage humidity corresponding to this moment, represents the current pressure value of the outlet nitrogen, represents the current outlet nitrogen flow rate, represents the set target value for nitrogen flow rate adjustment, represents the standard value of the outlet nitrogen flow rate.

6. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 1, characterized in that, The oxygen content dynamic regulation module includes: The oxygen concentration deviation identification sub-module calls the outlet humidity control parameters, collects the oxygen content monitoring data, compares it with the safety control interval, judges the actual deviation situation between the oxygen content and the interval, identifies the oxygen content deviation point, determines the deviation direction, and generates the oxygen content distribution characteristics. The flow rate adjustment configuration sub-module compares the nitrogen injection flow rate data with the influence of the outlet humidity change on the oxygen content according to the oxygen content distribution characteristics, judges the relationship between the existing flow rate setting and the oxygen content deviation, adjusts the nitrogen injection flow rate configuration, and obtains the flow rate adjustment parameters. The oxygen concentration change monitoring sub-module calls the flow rate adjustment parameters, collects the continuous change data of the adjusted oxygen content, compares the trend relationship between the change data and the deviation distribution characteristics, and monitors the dynamic characteristics of the oxygen content changing with the flow rate, and obtains the oxygen concentration change trend.

7. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 6, characterized in that The comparison of the trend relationship between the change data and the deviation distribution characteristics adopts the formula: ； Calculate the oxygen concentration change deviation trend feature, monitor the dynamic feature of the oxygen content changing with the flow rate, and obtain the oxygen concentration change trend. Among them, represents the oxygen concentration change deviation trend feature under the -th flow rate adjustment, represents the number of data points collected under the -th flow rate adjustment, represents the oxygen content measurement value at the -th moment under the -th flow rate adjustment, represents the average value of the oxygen content at all collection moments under the -th flow rate adjustment, represents the flow rate change coefficient under the -th flow rate adjustment, represents the flow rate value at the -th moment under the -th flow rate adjustment, represents the average flow rate at all collection moments under the -th flow rate adjustment.

8. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 1, wherein The moisture response adjustment module includes: The moisture difference judgment sub-module analyzes the real-time monitoring data of the surface moisture and the internal moisture of the tobacco leaves according to the oxygen concentration change trend, judges the deviation direction between the two moisture states and the maintenance target interval, screens the moisture states with deviations, and obtains the moisture state distribution. The temperature setting adjustment sub-module analyzes the corresponding relationship between the current nitrogen outlet temperature setting and the moisture state according to the moisture state distribution, judges whether there is a regulation requirement covering the deviation trend, adjusts the outlet temperature setting, and optimizes the wet film covering area to obtain the temperature control adjustment signal. The humidity matching verification sub-module detects the humidified nitrogen humidity data based on the temperature control adjustment signal, compares the corresponding degree between this data and the tobacco leaf maintenance humidity standard, judges the consistency between the current humidity distribution and the tobacco leaf maintenance requirements, and obtains the moisture control correction range.

9. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 1, characterized in that, The system further includes: The multi-parameter coupling linkage module integrates the purity detection, pressure, humidity adjustment, oxygen concentration reduction and moisture monitoring data based on the moisture control correction range, analyzes the deviation between the parameters and the target, screens the parameters with fast response, optimizes the linkage instruction, and obtains the parameter linkage control index. The parameter linkage control index includes the response priority parameter, the linkage adjustment parameter, and the feedback control parameter.

10. The automatic control system for oxygen content in nitrogen preparation and storage according to claim 9, characterized in that, The multi-parameter coupling linkage module includes: The deviation feature identification sub-module collects the nitrogen outlet purity, compression section pressure, humidity adjustment output, oxygen concentration reduction rate and tobacco leaf moisture monitoring data based on the moisture control correction range, analyzes the deviation direction and change trend of each data from the maintenance target interval, and obtains the parameter coupling coefficient. The feedback priority screening sub-module judges the response time and change rate of each parameter according to the parameter coupling coefficient, compares the change trend of the parameters in the same period, and screens the indexes with short feedback period and concentrated deviation amplitude to obtain the fast response parameter group. The instruction parameter optimization sub-module calls the quick response parameter group, compares the linkage adjustment order and control direction between each parameter, optimizes the distribution method and control path of the control instruction among the parameters, and obtains the parameter linkage control index.

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