Online monitoring method for curing state of acetate fiber plate

Abstract

The invention is suitable for the technical field of cellulose acetate plate manufacturing, and particularly relates to a cellulose acetate plate curing state on-line monitoring method which comprises the following steps: monitoring a solvent concentration gas chromatography and a solvent residual frequency signal of a cellulose acetate plate in real time, so that the timeliness of information processing is improved; and determining the solvent concentration and the solvent residual quantity according to the solvent concentration gas chromatography and the solvent residual frequency signal so as to obtain the solvent residual rate of the acetate fiber board, calculating the solvent residual rate to obtain the process deviation, and finally determining the curing grade of the acetate fiber board. Therefore, different states of the cured acetate fiber board can be accurately distinguished. The problems that the solvent residual quantity, concentration and volatilization rate are influenced by multiple factors such as temperature, humidity and plate density, and traditional single-parameter monitoring only measures weight loss and cannot accurately reflect the curing degree can be solved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of acetic acid fiberboard manufacturing, and particularly relates to an acetic acid fiberboard curing state online monitoring method. BACKGROUND

[0002] The acetic acid fiberboard curing process is driven by solvent evaporation, and the solvent residual amount directly determines the mechanical properties, dimensional stability and optical properties of the board.

[0003] The traditional monitoring method of solvent residual amount, concentration and evaporation rate is affected by multiple factors such as temperature, humidity and board density. The traditional single parameter monitoring only measures weight loss and cannot accurately reflect the curing degree. SUMMARY

[0004] The acetic acid fiberboard curing state online monitoring method provided in the embodiments of the application can solve the problem that the solvent residual amount, concentration and evaporation rate are affected by multiple factors such as temperature, humidity and board density, and the traditional single parameter monitoring only measures weight loss and cannot accurately reflect the curing degree.

[0005] In a first aspect, the embodiments of the application provide an acetic acid fiberboard curing state online monitoring method, comprising: obtaining a solvent concentration gas chromatogram of the acetic acid fiberboard and a frequency signal of solvent residue; obtaining a solvent concentration and a solvent residual amount of the acetic acid fiberboard based on the solvent concentration gas chromatogram of the acetic acid fiberboard and the frequency signal of solvent residue; obtaining a solvent residual rate of the acetic acid fiberboard based on the solvent concentration and the solvent residual amount of the acetic acid fiberboard; wherein the solvent residual rate reflects the amount of solvent reduced in the curing process of the acetic acid fiberboard; determining a curing degree of the acetic acid fiberboard according to the solvent residual rate of the acetic acid fiberboard; wherein the curing degree reflects the completion degree of the curing of the acetic acid fiberboard; determining a curing grade of the acetic acid fiberboard based on the curing degree of the acetic acid fiberboard; wherein the curing grade is used to reflect the curing state of the acetic acid fiberboard.

[0006] The technical solution described above in the embodiments of the application has at least the following technical effects: The online monitoring method for the curing state of cellulose acetate sheets provided in this application first acquires the frequency signals of solvent concentration from gas chromatography and solvent residue from the cellulose acetate sheets; then, it obtains the solvent concentration and solvent residue amount of the cellulose acetate sheets; next, based on the solvent concentration and solvent residue amount, it obtains the solvent residue rate of the cellulose acetate sheets; it determines the degree of curing of the cellulose acetate sheets; and finally, it determines the curing grade of the cellulose acetate sheets. This method allows for real-time monitoring of the solvent concentration from gas chromatography and solvent residue from the cellulose acetate sheets, improving the timeliness of information processing. The solvent concentration and solvent residue amount are then determined based on the frequency signals, thus obtaining the solvent residue rate of the cellulose acetate sheets. The process deviation is calculated from the solvent residue rate, and finally, the curing grade of the cellulose acetate sheets is determined, thereby accurately distinguishing different states of the cured cellulose acetate sheets. This method solves the problem that traditional single-parameter monitoring, which only measures weight loss and cannot accurately reflect the degree of curing, is affected by multiple factors such as temperature, humidity, and sheet density in terms of solvent residue amount, concentration, and evaporation rate.

[0007] Secondly, embodiments of this application provide an online monitoring device for the curing state of cellulose acetate sheets, applied to electronic devices, for implementing the online monitoring method for the curing state of cellulose acetate sheets as described in any one of the first aspects above. The online monitoring device for the curing state of cellulose acetate sheets includes: The acquisition unit is used to acquire the frequency signals of solvent concentration gas chromatography and solvent residue of cellulose acetate sheets; A concentration unit is used to obtain the solvent concentration and solvent residue of the cellulose acetate sheet based on the frequency signals of the solvent concentration gas chromatography and the solvent residue of the cellulose acetate sheet. The residual unit is used to obtain the solvent residual rate of the cellulose acetate sheet based on the solvent concentration and the solvent residual amount of the cellulose acetate sheet; wherein the solvent residual rate reflects the amount of solvent reduced during the curing process of the cellulose acetate sheet; A curing unit is used to determine the degree of curing of the cellulose acetate sheet based on the solvent residue rate of the cellulose acetate sheet; wherein the degree of curing reflects the degree of completion of curing of the cellulose acetate sheet; A grade unit is used to determine the curing grade of the cellulose acetate sheet based on the degree of curing of the cellulose acetate sheet; wherein the curing grade is used to reflect the curing state of the cellulose acetate sheet.

[0008] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method as described in any of the foregoing aspects.

[0009] Fourthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to perform the method described in any one of the first aspects above.

[0010] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a schematic flowchart of an embodiment of the online monitoring method for the curing state of cellulose acetate sheets provided in this application; Figure 2 This is a schematic diagram of the operation of an online monitoring method for the curing state of cellulose acetate sheets provided in an embodiment of this application; Figure 3 This is a schematic diagram of the online monitoring device for the curing state of cellulose acetate sheets provided in this application embodiment; Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0013] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0014] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0015] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0016] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0017] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0018] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0019] In related technologies, the curing process of cellulose acetate sheets is driven by solvent evaporation, and the amount of residual solvent directly determines the mechanical properties, dimensional stability, and optical characteristics of the sheets.

[0020] Traditional monitoring methods for solvent residue, concentration, and evaporation rate are affected by multiple factors such as temperature, humidity, and board density. Traditional single-parameter monitoring only measures weight loss and cannot accurately reflect the degree of curing.

[0021] To address the aforementioned issues, this application provides an online monitoring method for the curing state of cellulose acetate sheets. This method first acquires the frequency signals of solvent concentration from gas chromatography and solvent residue from the cellulose acetate sheets; then, it obtains the solvent concentration and residual amount of the cellulose acetate sheets; next, based on the solvent concentration and residual amount, it obtains the solvent residue rate of the cellulose acetate sheets; it determines the degree of curing of the cellulose acetate sheets; and finally, it determines the curing grade of the cellulose acetate sheets. This method allows for real-time monitoring of the solvent concentration from gas chromatography and the frequency signals of solvent residue from the cellulose acetate sheets, improving the timeliness of information processing. The solvent concentration and residual amount are then determined based on the frequency signals, thus obtaining the solvent residue rate of the cellulose acetate sheets. The process deviation is calculated from the solvent residue rate, and finally, the curing grade of the cellulose acetate sheets is determined, thereby accurately distinguishing different states of the cured cellulose acetate sheets. This method solves the problem that solvent residue, concentration, and evaporation rate are affected by multiple factors such as temperature, humidity, and sheet density, and that traditional single-parameter monitoring, which only measures weight loss, cannot accurately reflect the degree of curing.

[0022] The online monitoring method for the curing state of cellulose acetate sheets provided in this application embodiment can be applied to electronic devices. In this case, the electronic device is the executing subject of the online monitoring method for the curing state of cellulose acetate sheets provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of electronic device.

[0023] For example, the electronic device could be an eyeglass injection molding machine, which includes a machine body, a micro-sampling probe, and a quartz crystal microbalance sensor. The micro-sampling probe is installed in the cooling section of the molded sheet to continuously draw in the solvent gas volatilized from the sheet for obtaining solvent concentration gas chromatography. The quartz crystal microbalance sensor is attached to the surface of the cellulose acetate sheet and senses the frequency signal of solvent residue through frequency changes. The eyeglass injection molding machine body includes a control system, a temperature sensor, and a humidity sensor. The control system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the methods described in any of the above aspects. When the eyeglass injection molding machine starts up the production line, the control system controls the micro-sampling probe and the quartz crystal microbalance sensor to obtain the solvent concentration gas chromatography and the frequency signal of solvent residue from the cellulose acetate sheet, obtaining the solvent residue rate. Then, environmental parameters are obtained through the temperature and humidity sensors to obtain the degree of curing. Based on the degree of curing, the curing level is obtained, thus providing real-time feedback on the curing status of the cellulose acetate sheet.

[0024] To better understand the online monitoring method for the curing state of cellulose acetate sheets provided in this application, the specific implementation process of the online monitoring method for the curing state of cellulose acetate sheets provided in this application will be described below by way of example.

[0025] Figure 1 A schematic flowchart of the online monitoring method for the curing state of cellulose acetate sheets provided in this application embodiment is shown. Figure 2 This is a schematic diagram illustrating the operation of an online monitoring method for the curing state of cellulose acetate sheets according to an embodiment of this application. The online monitoring method for the curing state of cellulose acetate sheets includes: S100, acquires the frequency signals of solvent concentration and solvent residue of cellulose acetate sheets via gas chromatography.

[0026] It is understandable that cellulose acetate sheets are made from cellulose acetate as the main raw material through processes such as dissolution, molding, and drying. They are widely used in packaging, electronic component carriers, medical devices, and other fields, such as transparent cellulose acetate sheets for food packaging or insulating cellulose acetate sheets for electronic equipment. Solvent concentration gas chromatography refers to the chromatographic data detected by gas chromatography technology that reflects the concentration of volatile solvents in cellulose acetate sheets. It includes characteristic peak information of different solvents, such as acetone, methyl ethyl ketone, and ethanol, commonly used solvents in sheet production. These solvents will show specific peaks in the gas chromatogram, which can be used to determine the concentration level. The frequency signal of solvent residue refers to the vibration frequency change signal captured by the quartz crystal microbalance sensor of the residual solvent that has not completely evaporated in the sheet. The more residual solvent, the more obvious the frequency change. For example, residual ethanol on the surface of the sheet will cause the sensor frequency to drop from the initial 5MHz to 4.9996MHz; this frequency change process is the frequency signal of solvent residue. The frequency signals of solvent concentration gas chromatography and solvent residue can be actively collected by a specific detection device, namely a micro sampling probe and a quartz crystal microbalance sensor, after the plate is formed.

[0027] As an optional embodiment of this application, S100, acquiring the frequency signals of solvent concentration and solvent residue of the cellulose acetate sheet by gas chromatography includes: S110 activates the micro-sampling probe and quartz crystal microbalance sensor after the acetate fiber sheet production line is started.

[0028] It is understandable that a miniature sampling probe is a small detection device that can be installed on the production line to collect volatile solvent gases around the sheet material. For example, a probe installed in the cooling section of the sheet material after molding can draw in solvent gases such as acetone and ethanol volatilized from the sheet material in real time. A quartz crystal microbalance sensor is a sensor that detects trace amounts of residual substances by utilizing the principle that the vibration frequency of a quartz crystal changes with the mass of the adsorbed substance. For example, it can be attached to the surface of the sheet material and sense residual solvent molecules through frequency changes. Activation refers to turning on the power and detection functions of both devices, putting them into working condition. For example, 5 minutes after the production line starts, the system automatically powers on the probe and sensor, the miniature sampling probe begins to draw in gas for sampling, and the quartz crystal microbalance sensor begins to monitor the vibration frequency.

[0029] The S120, based on a miniature sampling probe and a quartz crystal microbalance sensor, acquires the frequency signals of solvent concentration and solvent residue in the cellulose acetate sheet via gas chromatography and solvent chromatography, respectively.

[0030] Solvent concentration gas chromatography is understood to be a chromatogram generated after a micro-sampling probe performs gas chromatography analysis on the collected solvent gas. Peaks at different positions in the chromatogram correspond to different solvents, and the peak value reflects the concentration. For example, the peak with a retention time of 3 minutes corresponds to methanol; a higher peak value indicates a higher concentration of methanol volatilized from the substrate. The frequency signal of solvent residue is the real-time vibration frequency data generated by the quartz crystal microbalance sensor when it comes into contact with the substrate, due to the adsorption of residual solvent on the substrate surface. For example, the frequency is 5MHz when the sensor is not in contact with the substrate, but changes to 4.9998MHz after contact due to the adsorption of residual ethanol. This real-time changing frequency data is the frequency signal of solvent residue. Both types of data can be automatically collected and transmitted using a micro-sampling probe and a quartz crystal microbalance sensor. For example, the micro-sampling probe transmits the chromatogram data, and the quartz crystal microbalance sensor transmits the frequency data to the control system.

[0031] By employing steps S110 to S120, the problems of delayed equipment startup, low efficiency of manual sampling, and discontinuous data acquisition in traditional detection methods can be solved, enabling automatic synchronous activation and real-time data acquisition of the detection equipment. By automatically acquiring chromatographic and frequency signals, the equipment replaces manual sampling and analysis, reducing human error while ensuring the continuity of data acquisition.

[0032] S200, based on the frequency signals of the solvent concentration of the cellulose acetate sheet by gas chromatography and the solvent residue, obtains the solvent concentration and solvent residue of the cellulose acetate sheet.

[0033] Solvent concentration refers to the amount of solvent contained in a unit mass or volume of cellulose acetate sheet, expressed as a percentage. For example, if 100g of sheet contains 0.3g of ethanol, its ethanol concentration is 0.3%. Solvent residue refers to the total mass of solvent that has not completely evaporated and remains inside or on the surface of the cellulose acetate sheet. For example, a sheet with an area of ​​1㎡ and a thickness of 2mm might have a total residual solvent mass of 1.5g. Solvent concentration and solvent residue can be calculated and analyzed using the obtained gas chromatographic data of solvent concentration and the frequency signals of solvent residue. For example, solvent concentration can be calculated from chromatographic peak values, and solvent residue can be calculated from frequency changes, ultimately yielding two test results for the sheet.

[0034] As an optional embodiment of this application, S200, based on the frequency signals of the solvent concentration and solvent residue of the acetate fiber board by gas chromatography and solvent residue, obtains the solvent concentration and solvent residue amount of the acetate fiber board, including: S210, gas chromatographic analysis of the solvent concentration of cellulose acetate sheets, to obtain the peak area of ​​the solvent characteristic peak.

[0035] It's understandable that analysis refers to interpreting the obtained gas chromatogram of solvent concentration using gas chromatography analysis software. This includes identifying characteristic peaks corresponding to the solvent and calculating peak areas. For example, the software automatically identifies peaks at different retention times in the chromatogram, eliminates interfering peaks, and processes only the peaks of the target solvent. A solvent characteristic peak is a unique peak in a gas chromatogram representing a specific solvent. Due to the different physicochemical properties of different solvents, their appearance time and shape in the chromatogram vary. For example, in a certain detection scenario, the sharp peak at a retention time of 2.5 minutes is the characteristic peak of ethanol in cellulose acetate sheets; other solvents will not produce the same peak at the same time. Peak area refers to the area enclosed by the solvent characteristic peak and the chromatogram baseline. The peak area is positively correlated with the solvent concentration. For example, when the ethanol concentration in cellulose acetate sheets is 0.2%, its characteristic peak area is 400; when the concentration increases to 0.4%, the peak area also increases to 800.

[0036] S220: Based on the peak area of ​​the solvent characteristic peak, the solvent concentration of the cellulose acetate board is obtained by substituting it into the preset solvent concentration standard curve.

[0037] It is understandable that the preset solvent concentration standard curve is a curve plotted in advance through experiments, reflecting the relationship between the characteristic peak area of ​​the solvent and the known solvent concentration. The horizontal axis represents the peak area, and the vertical axis represents the solvent concentration. For example, before the experiment, ethanol standard solutions with concentrations of 0.1%, 0.2%, and 0.3% were used for detection, yielding corresponding peak areas of 200, 400, and 600. The ethanol concentration-peak area standard curve plotted based on this is the basis for subsequent calculations. The characteristic peak area of ​​the solvent obtained from actual detection can be mapped to the standard curve to find its corresponding concentration value. For example, if the characteristic peak area of ​​ethanol in the actual detection of acetate fiberboard is 300, substituting the characteristic peak area of ​​300 into the standard curve, the corresponding ethanol concentration can be directly read as 0.15%. By obtaining the correspondence through the standard curve, the actual solvent concentration of the acetate fiberboard can be determined.

[0038] S230 processes the frequency signal of solvent residue on cellulose acetate sheets to obtain the initial frequency and real-time monitoring frequency.

[0039] It can be understood that processing refers to filtering, noise reduction, and screening of the frequency signal of solvent residue output by the quartz crystal microbalance sensor. This removes interference noise from the signal and extracts the effective frequency data. For example, the sensor outputs a large number of real-time frequency values; processing removes abnormal values ​​caused by voltage fluctuations, retaining stable frequency data. The initial frequency refers to the inherent vibration frequency of the quartz crystal microbalance sensor when it is not in contact with any solvent residue. It is the reference value for detection. For example, if the sensor's vibration frequency is 5MHz in clean air and not near the substrate, this is the initial frequency for this detection. The real-time monitoring frequency refers to the real-time value after the sensor comes into contact with the surface of the cellulose acetate substrate, due to the adsorption of residual solvent molecules from the substrate, causing a change in vibration frequency. For example, after the sensor approaches the substrate, the frequency gradually decreases from 5MHz to 4.9997MHz. This continuously changing value of 4.9997MHz is the real-time monitoring frequency.

[0040] S240, based on the initial frequency and the real-time monitored frequency, obtains the frequency change.

[0041] This is understandable. Based on two benchmark data points—the initial frequency and the real-time monitoring frequency—the difference is calculated using a fixed formula. For example, using the initial frequency as a reference, subtracting the real-time monitoring frequency from the initial frequency yields the difference. The frequency change refers to the difference between the real-time monitoring frequency and the initial frequency. Because the frequency decreases after the sensor absorbs solvent, the change can be positive. For example, if the initial frequency is 5MHz and the real-time monitoring frequency is 4.9997MHz, the difference is 0.0003MHz, or 300Hz. This 300Hz is the frequency change, and the larger the change, the more solvent remains absorbed by the sensor. The specific frequency change value can be calculated using the formula: Initial Frequency - Real-time Monitoring Frequency = Frequency Change.

[0042] S250, based on the frequency change and the inherent parameters of the quartz crystal microbalance sensor, obtains the solvent residue of the cellulose acetate sheet. The inherent parameters refer to the parameters set at the factory for the quartz crystal microbalance sensor.

[0043] It is understandable that the inherent parameters of a quartz crystal microbalance sensor refer to fixed parameters related to the characteristics of the quartz crystal, calibrated by the manufacturer at the time of manufacture. These mainly include the crystal sensitivity coefficient, which is the mass of substance corresponding to a unit frequency change. For example, the inherent parameter of a certain model sensor is 0.01 μg of solvent mass corresponding to a 1 Hz frequency change. These inherent parameters are determined by the manufacturer through calibration during production and do not require modification by the user, ensuring consistent detection results. Combining the frequency change and the inherent parameters, the solvent residue can be calculated using a formula. For example, if the frequency change is known to be 300 Hz and the inherent parameter is 0.01 μg per Hz, multiplying the two gives the residual solvent mass. Using the formula: Frequency Change × Sensitivity Coefficient = Solvent Residue, the solvent residue of the cellulose acetate sheet can be calculated. For example, 300 Hz × 0.01 μg / Hz = 3 μg, meaning the solvent residue of the cellulose acetate sheet is 3 μg.

[0044] By employing steps S210 to S250 above, the problem of accurately quantifying solvent concentration and residual amount from the original detection signal can be solved. For chromatographic signals, characteristic peak identification and standard curve substitution avoid errors from manually reading peak areas, ensuring the accuracy of solvent concentration calculation; for frequency signals, filtering, frequency change calculation, and combination of sensor inherent parameters eliminate signal interference and accurately convert to solvent residual amount.

[0045] S300, based on the solvent concentration and residual amount of the cellulose acetate sheet, yields the solvent residue rate of the cellulose acetate sheet. The solvent residue rate reflects the amount of solvent reduced during the curing process of the cellulose acetate sheet.

[0046] Solvent residue rate refers to the proportion of remaining solvent to the initial total solvent after the cellulose acetate sheet has cured. A higher value indicates less solvent was reduced during curing, while a lower value indicates more solvent was reduced. For example, if the sheet contains 100g of solvent at the start of curing and 10g remains after curing, the solvent residue rate is 10%, reflecting a reduction of 90g of solvent during curing. The calculation is based on two fundamental data points: solvent concentration and solvent residue. For instance, the initial total solvent is determined by the concentration, and the remaining solvent at each point in time is determined by the residue. The final solvent residue rate is calculated using a specific formula, such as Solvent Residue Rate = Solvent Residue / Initial Total Amount × 100%.

[0047] As an optional embodiment of this application, S300, based on the solvent concentration and solvent residue of the acetate fiber board, the solvent residue rate of the acetate fiber board is obtained, including: S310, obtain solvent concentration and solvent residue at the same time interval, and determine solvent concentration curve and solvent residue curve.

[0048] It's understandable that "same time interval" means the duration between two tests remains consistent. For example, if solvent concentration and residue are tested every 5 minutes, this 5-minute interval is considered "same time interval," ensuring data comparability across time. The solvent concentration curve is plotted with the detection time on the x-axis and the solvent concentration at the corresponding time point on the y-axis. It visually reflects the trend of concentration change over curing time. For example, the concentration curve for a certain board might show a 5% concentration at 0 minutes, 3% at 5 minutes, and 1% at 10 minutes, showing a gradual decrease. The solvent residue curve is plotted with the detection time on the x-axis and the solvent residue at the corresponding time point on the y-axis, reflecting the change in residue over time. For example, a 50g residue at 0 minutes, 30g at 5 minutes, and 10g at 10 minutes, also showing a decrease. Solvent concentration and residue curves can be generated by continuously collecting concentration and residue data at fixed time intervals, such as the detection system automatically recording data every 5 minutes. "Definition" refers to mapping the collected time to solvent concentration and time to solvent residue to plot two curves.

[0049] S320, the solvent concentration curve and the solvent residue curve are fitted to obtain the solvent concentration fitting curve and the solvent residue fitting curve, respectively.

[0050] Understandingly, fitting refers to the process of smoothing the original solvent concentration curve and solvent residue curve using mathematical methods to eliminate fluctuations caused by detection errors, making the curves more closely resemble the actual changes. The mathematical method can be the least squares method. For example, if the original concentration curve shows a sudden increase at individual points due to equipment errors, fitting can correct it into a smooth curve with a continuous decrease. The fitted solvent concentration curve is the concentration curve after fitting, which more accurately reflects the overall trend of concentration change over time. For example, after fitting, the concentration shows an exponential decrease over time, rather than the sawtooth fluctuations of the original data. The fitted solvent residue curve is the residue curve after fitting; similarly, interference can be eliminated. For example, after fitting, the linear decreasing trend of residue over time is clearer. Fitting refers to applying a mathematical model to calculate and adjust the original curve, resulting in two more reliable smooth curves generated through the fitting operation.

[0051] S330, based on the solvent concentration fitting curve and the solvent residue fitting curve, the solvent residue rate curve of the acetate fiberboard is obtained. The solvent residue rate curve reflects the dynamic change of the solvent residue rate over time during the curing process.

[0052] The solvent residue rate curve is a curve plotted with time on the horizontal axis and the solvent residue rate at corresponding moments on the vertical axis. It dynamically displays the change in residue rate during the curing process. For example, the curve gradually decreases from 100% at 0 minutes to 5% at 60 minutes, intuitively reflecting the speed and extent of solvent reduction. It uses concentration fitting curves and residue fitting curves as data sources; for example, the initial concentration is taken from the concentration fitting curve, and the residue amount at each moment is taken from the residue fitting curve. This dynamically changing solvent residue rate curve can be generated by calculating the residue rate at each moment and plotting it. The dynamic change pattern refers to whether the residue rate decreases rapidly, slowly, or initially rapidly and then slowly over time. For example, the residue rate curve of a certain board decreases rapidly in the first 30 minutes, from 100% to 20%, and then decreases more gradually in the next 30 minutes, from 20% to 5%, indicating that the solvent evaporates quickly in the early stages of curing and tends to stabilize in the later stages.

[0053] In one possible implementation, S330, based on the solvent concentration fitting curve and the solvent residue fitting curve, a solvent residue rate curve for the acetate fiberboard is obtained, including: S331, based on the solvent concentration fitting curve, the initial solvent concentration is extracted to obtain the initial total solvent dose. The initial total dose is the solvent dose at the start of curing of the cellulose acetate sheet.

[0054] The initial solvent concentration refers to the solvent concentration at the start of curing of the cellulose acetate sheet. It serves as the benchmark for calculating the initial total dosage. For example, from the concentration fitting curve, the concentration corresponding to time 0 minutes is 5%, which is the initial concentration. The initial total solvent dosage is the total mass of solvent in the sheet at the start of curing. The calculation formula is: Initial total dosage = Total mass of sheet × Initial concentration. For example, if the total mass of a sheet is 1000g and the initial concentration is 5%, then the initial total dosage = 1000g × 5% = 50g. The initial concentration is extracted based on the solvent concentration fitting curve because the fitting curve eliminates errors and is more accurate than the original data. The concentration value corresponding to time 0 can be found through the fitting curve, and the initial total solvent dosage can be calculated by multiplying the concentration by the mass of the sheet, thus clarifying the solvent dosage at the start of curing.

[0055] S332, based on the initial total solvent dose and the solvent residue fitting curve, obtains the solvent residue rate at each time point.

[0056] Solvent residue rate at each time point refers to the proportion of remaining solvent relative to the initial total dose at each point in the curing process. The calculation formula is: Solvent residue rate = (Residual solvent amount / Initial total dose) × 100%. Based on the fitted curve of the initial total dose and solvent residue, for example, if the initial total dose is 50g and the residual amount at 10 minutes in the residual curve is 10g, then the solvent residue rate at 10 minutes = (10g / 50g) × 100% = 20%. The solvent residue rate at each time point can be calculated using the above formula, providing data points for plotting the residue rate curve.

[0057] S333, by linearly fitting the detection time as the x-axis and the solvent residue rate as the y-axis, the solvent residue rate curve of the acetate fiberboard is obtained.

[0058] Linear fitting, as we understand it, refers to connecting residual rate data points at various time points with a straight line or a curve approximating a straight line, making the curve more concisely reflect the overall trend of residual rate changes over time. Linear fitting is not a strictly mathematical straight line, but rather refers to fitting the data points to form a continuous curve. For example, fitting data points at 5 minutes (80% solvent residual rate), 10 minutes (60% solvent residual rate), and 15 minutes (40% solvent residual rate) yields a smooth curve from the upper left to the lower right. Using detection time as the x-axis and solvent residual rate as the y-axis (the axis representing the set curve): the x-axis indicates time (e.g., 0 minutes, 5 minutes, 10 minutes), and the y-axis indicates residual rate (e.g., 0%, 20%, 40%). Through coordinate setting and linear fitting, a complete solvent residual rate curve can be generated, visually displaying the dynamic changes in residual rate.

[0059] By employing steps S331 to S333, the problem of not being able to intuitively grasp the dynamic changes in solvent residual rate during the curing process is solved, enabling a visual representation of the residual rate change pattern. By extracting the initial total dosage, calculating the residual rate at each time point, and plotting the residual rate curve, the limitations of traditional single-point residual rate calculations are overcome. Users can clearly observe the pattern of rapid solvent evaporation in the early stage of curing and its tendency to stabilize in the later stage through the curve, or identify abnormal fluctuations, providing data for judging whether the curing process is normal and adjusting the curing process accordingly.

[0060] S340, the solvent residue rate curve of the cellulose acetate board was discretely analyzed to obtain the solvent residue rate.

[0061] Discrete analysis, as we understand it, involves dividing a continuous solvent residue curve into multiple discrete time points and extracting the residue rate values ​​at these points for analysis, rather than directly using the entire curve as the result. The aim is to improve the reliability of the results through calculations at multiple points. For example, a 60-minute continuous curve can be divided into six points at 10-minute intervals, and the residue rate at each point can be extracted and processed. Discrete analysis refers to performing this segmentation and extraction operation on the residue rate curve, obtaining the final solvent residue rate by analyzing the discrete point data. For instance, if the average residue rate of the six points is 5%, then this represents the solvent residue rate of the cellulose acetate sheet.

[0062] By employing steps S310 to S340, the problems of large fluctuations in the original test data and unstable residual rate calculation results can be solved, achieving high-precision calculation of solvent residual rate. Through the entire process, the influence of equipment errors, environmental interference, and other factors in the original data are eliminated layer by layer. Compared with directly using single-point data to calculate the residual rate, the residual rate obtained by the above steps is more stable and better reflects the overall level of the curing process.

[0063] In one possible implementation, S340, the solvent residue rate curve of the cellulose acetate sheet is discretely analyzed to obtain the solvent residue rate, including: S341, Set the time interval for discrete analysis, wherein the time interval is determined based on the dynamic change rate of the curing process of the cellulose acetate sheet and the online monitoring accuracy requirements.

[0064] It can be understood that the time interval for discrete analysis refers to the time difference between two adjacent points when extracting data points from the residual rate curve. For example, taking one point every 10 minutes, this 10-minute interval is the discrete analysis time interval. The dynamic rate of change refers to how quickly the solvent residual rate decreases during the curing process; for example, the residual rate decreases rapidly in the early stages and slowly in the later stages. Online monitoring accuracy requirements refer to the accuracy requirements of the test results in production; higher accuracy requirements necessitate shorter intervals. The time interval setting must balance both: if the change is rapid in the early stages of curing and high accuracy is required, a 5-minute interval can be set; if the change is slow in the later stages, the interval can be relaxed to 15 minutes. For example, if a board changes rapidly in the first 30 minutes of curing, a 5-minute interval is set; if the change is slow in the last 30 minutes, a 10-minute interval is set. The specific time interval value can be determined based on the above criteria.

[0065] S342, according to the time interval, extract the solvent residual rate values ​​corresponding to each discrete time point on the solvent residual rate curve to form a discrete data sequence.

[0066] Discrete time points refer to specific times selected on the curve at predetermined time intervals, such as 10 minutes, 20 minutes, and 30 minutes when the interval is 10 minutes. A discrete data sequence refers to a set of data formed by arranging the residual rate values ​​corresponding to each discrete time point in chronological order. For example, 10 minutes corresponds to 80%, 20 minutes to 60%, and 30 minutes to 40%, and this set (80%, 60%, 40%) is a discrete data sequence. Strictly adhering to the predetermined intervals when selecting time points ensures uniform data distribution. The residual rate value corresponding to each discrete time point can be read from the residual rate curve, forming an ordered data sequence by chronological order, preparing for subsequent testing and calculations.

[0067] S343, perform outlier detection on the discrete data sequence, remove outliers exceeding a preset threshold range, and obtain a corrected discrete data sequence. The preset threshold range is set based on the historical residual rate fluctuation range of similar cellulose acetate fiberboard curing processes.

[0068] Outlier detection, as understood, refers to identifying values ​​in a discrete data sequence that deviate from the normal range using statistical methods. This deviation is caused by detection errors or sudden interference. For example, a normal sequence might be 80%, 60%, and 40%; if a value reaches 120%, it is considered an outlier. Statistical methods could include the 3σ principle. The preset threshold range refers to the normal fluctuation range of residual rates set based on historical data. For instance, if the historical residual rate of similar boards is mostly between 30% and 90%, the threshold range would be set to 20%-100%. The corrected discrete data sequence refers to the more reliable data sequence remaining after removing outliers. For example, after removing 120%, the sequence would still be 80%, 60%, and 40%. Setting the threshold range based on the historical residual rate fluctuation range of similar acetate fiber boards refers to referencing past detection data of similar boards to ensure compliance with actual production patterns. By applying statistical methods to screen for outliers and remove values ​​exceeding the threshold, a corrected discrete data sequence can be generated.

[0069] S344, calculate the average residual rate value based on the corrected discrete data sequence, and use the average residual rate value as the solvent residual rate of the cellulose acetate board.

[0070] The average residual rate is understood to be the average of all residual rate values ​​in the corrected discrete data sequence, divided by the number of data points. For example, if the corrected sequence is 80%, 60%, and 40%, the average residual rate is (80% + 60% + 40%) ÷ 3 = 60%. This calculation uses the corrected discrete data sequence to ensure data reliability. The solvent residual rate can be obtained by summing and averaging, and the average residual rate can be determined as the final solvent residual rate because the average value comprehensively reflects the overall residual level of the curing process and is more representative than the value at a single time point. For example, the average value of 60% is the solvent residual rate of the cellulose acetate board.

[0071] By employing steps S341 to S344, the problems of residual rate calculation deviations caused by unreasonable discrete analysis parameter settings and failure to remove outliers are resolved, further improving the reliability of residual rate data. Short intervals are set during the early stages of curing when solvent evaporation is rapid, and longer intervals are set in the later stages, ensuring data density in critical stages while reducing redundant calculations. Outlier removal avoids individual erroneous data skewing the results, resulting in an average residual rate that more closely reflects the actual curing situation.

[0072] S400 determines the degree of curing of cellulose acetate sheets based on the solvent residue rate. The degree of curing reflects the completeness of the curing process of the cellulose acetate sheets.

[0073] As we understand it, the degree of curing refers to the percentage of completion of the curing process for cellulose acetate sheets, expressed as a percentage. A higher value indicates more complete curing, meaning more complete solvent evaporation. For example, a 100% degree of curing means the sheet is fully cured with the solvent residue reaching the target value, while a 60% degree of curing means only 60% of the curing process is complete. The degree of curing can be calculated using the solvent residue rate as the core criterion and the correlation between the two. For instance, if the solvent residue rate is known to be 20% and the initial residue rate is 100%, then the degree of curing = (1 - 20% / 100%) × 100% = 80%. The degree of curing directly reflects the progress of the sheet from its initial state to its final cured state. For example, an 80% degree of curing indicates that further solvent evaporation is needed to complete the curing process.

[0074] As an optional embodiment of this application, S400, determining the degree of curing of the cellulose acetate sheet based on the solvent residue rate of the cellulose acetate sheet includes: S410 sets the baseline parameters for calculating the degree of cure. These baseline parameters include the initial residual rate and the target residual rate.

[0075] It's understandable that benchmark parameters are fixed values ​​used as a reference when calculating the degree of cure, to standardize calculations and ensure comparable results. Initial residual rate is the solvent residue rate when the board begins to cure, i.e., the residue rate at time 0. It can be 100% because the solvent hasn't evaporated in the initial state. For example, if a board's initial residual rate is 100%, this is the initial residual rate benchmark. Target residual rate is the residual rate that the board should achieve when fully cured. For example, if the industry standard requires that the residual rate of cellulose acetate boards be ≤5% when fully cured, then the target residual rate is 5%. Benchmark parameters are predetermined based on production processes and quality standards. For example, a factory might set the initial residual rate to 100% and the target residual rate to 5% based on product requirements, using these as the benchmark for calculating the degree of cure.

[0076] S420 obtains the real-time degree of curing based on the mapping relationship between solvent residue rate and degree of curing and solvent residue rate.

[0077] The mapping relationship between cure degree and solvent residue rate can be understood as a mathematical correspondence between the two: the lower the residue rate, the higher the cure degree. For example, a preset formula could be: Real-time cure degree = (1 - Current residue rate / Initial residue rate) × 100%. Real-time cure degree refers to the cure degree value at a specific moment, reflecting the real-time curing progress. For example, if the current residue rate is detected to be 30% and the initial residue rate is 100%, then the real-time cure degree = (1 - 30% / 100%) × 100% = 70%. The real-time cure degree can be calculated by substituting the current solvent residue rate into the mapping formula.

[0078] S430 performs dynamic verification of the real-time cure degree to obtain the calibrated cure degree. The calibrated cure degree is a high-precision value obtained after dynamic deviation correction of the real-time cure degree.

[0079] Dynamic verification, as we understand it, refers to the process of continuously correcting for deviations based on real-time cure degree, taking into account factors such as environmental interference. For example, temperature fluctuations might cause the real-time cure degree calculation to be too high; verification corrects this to a more accurate value. Calibrated cure degree is a high-precision cure degree obtained after dynamic deviation correction, and it is closer to the actual situation than the real-time cure degree. For example, a real-time cure degree of 70% might become 68% after environmental correction; this 68% is the calibrated cure degree. Dynamic verification refers to continuously detecting and adjusting deviations in the real-time cure degree. Through verification operations, a final high-precision cure degree value can be generated, providing reliable data for determining the final cure degree.

[0080] In one possible implementation, S430 performs dynamic verification of the real-time cure degree to obtain a calibrated cure degree, including: S431 collects environmental parameters during the curing process and triggers an environmental impact correction signal when parameters exceed the specified range. These environmental parameters represent environmental factors that interfere with the curing process.

[0081] As we understand it, environmental parameters refer to environmental factors that affect the curing process of cellulose acetate sheets. Calibration includes temperature and humidity; for example, excessively high temperatures accelerate solvent evaporation, while high humidity slows it down. "Out of range" means that the environmental parameters deviate from the preset normal range. For example, the normal temperature range is 25-30℃; if it rises to 35℃, it is out of range. An environmental impact correction signal is an instruction automatically issued by the system to trigger curing degree correction when environmental parameters exceed the range. For example, if the temperature exceeds the range, the signal will prompt that temperature impact correction is needed for the real-time curing degree. Environmental parameters can be monitored in real time by sensors, such as temperature and humidity sensors that record data every minute. The trigger means that when a parameter exceeds the range, the system automatically generates and sends an environmental impact correction signal.

[0082] S432 calculates the correction value of environmental parameters to the real-time curing degree based on the preset environmental impact coefficient matrix and environmental impact correction signal.

[0083] It is understandable that the preset environmental impact coefficient matrix is ​​a table or matrix data containing the weights of different environmental parameters on the degree of curing. For example, in the matrix, for every 1°C increase in temperature, the curing degree correction coefficient is -0.02, indicating that a higher temperature will lead to an artificially high real-time curing degree, which needs to be reduced by 2%. The correction value of the real-time curing degree refers to the value that needs to be adjusted based on the deviation of environmental parameters. For example, if the temperature exceeds the normal range by 5°C, then the correction value of the real-time curing degree = 5°C × (-0.02) = -10%, that is, the real-time curing degree needs to be reduced by 10%. The influence weights and environmental impact correction signals can be determined by combining the environmental impact coefficient matrix, and the correction value of the real-time curing degree can be calculated by the formula: environmental impact coefficient matrix × environmental impact correction signal.

[0084] S433, based on the correction value of real-time curing degree, obtains the basic offset corrected curing degree.

[0085] It can be understood that the basic offset correction curing degree refers to the preliminary correction result obtained by subtracting the environmental parameter correction value from the real-time curing degree, used to eliminate systematic deviations caused by environmental factors. For example, if the real-time curing degree is 70%, the real-time curing degree correction value is -2%, and the real-time value is artificially inflated by 2% due to higher temperature, then the basic offset correction curing degree = 70% - 2% = 68%. The basic offset correction curing degree after eliminating environmental basic offset can be obtained by adding or subtracting the real-time curing degree and its correction value.

[0086] S434, smooths the curing degree of the base offset correction to obtain the calibrated curing degree.

[0087] As can be understood, smoothing correction refers to eliminating fluctuations in the base offset correction curing degree, removing random errors within a short period, such as numerical jumps caused by momentary equipment vibration, thus making the result more stable. For example, if the base offset correction curing degrees are 68%, 71%, and 67% respectively, exhibiting slight fluctuations, after smoothing correction, the average value is 68.7%, rounded to one decimal place as 69%. Through smoothing correction, a high-precision and stable curing degree value can be generated; for example, the aforementioned 69% is the calibrated curing degree.

[0088] By employing steps S431 to S434 above, the problem of inaccurate real-time cure degree calculation caused by environmental interference can be solved, achieving high-precision calibration of cure degree. This specifically eliminates the impact of environmental fluctuations on cure degree. The above steps can avoid cure degree deviations caused by environmental interference.

[0089] S440, determine the degree of curing of cellulose acetate sheets based on the calibration degree of curing.

[0090] It is understandable that the calibrated cure degree refers to the calibrated cure degree that has undergone dynamic verification and correction as the final basis, because it has eliminated environmental interference and random errors and is closest to the actual cure level. The determined cure degree refers to directly using the calibrated cure degree as the cure degree result of the cellulose acetate board. For example, if the calibrated cure degree is 69%, then the cure degree of the cellulose acetate board is determined to be 69%, reflecting its current degree of cure completion.

[0091] By employing steps S410 to S440, the lack of a unified standard and accuracy in curing degree calculations can be addressed, achieving standardized and high-precision calculation of curing degree. Compared to traditional empirical methods of estimating curing degree, the curing degree calculated using the above steps has clear standards, is traceable, and has high precision, accurately reflecting the degree of curing completion of the board and providing a quantitative basis for determining whether the board meets factory requirements.

[0092] S500 determines the curing grade of cellulose acetate sheets based on their degree of curing. The curing grade reflects the curing state of the cellulose acetate sheets.

[0093] It's understandable that a curing grade is a label used to visually reflect the curing state of a board, based on its degree of curing. Grades like A, B, and C correspond to different quality standards. For example, a curing degree ≥90% might be grade A, 70%-89% grade B, and <70% grade C. The curing degree of the board can be compared with the preset grade classification standard to determine its grade; for example, a curing degree of 69% corresponds to grade C. The grade reflects the curing state, directly indicating whether the board meets production requirements. For example, grade A indicates compliance with factory standards, while grade C requires rework.

[0094] As an optional embodiment of this application, S500, determining the curing level of the cellulose acetate sheet based on its degree of curing includes: S510 determines the current curing level by comparing the curing degree of the cellulose acetate board with the preset curing level standard.

[0095] It's understandable that the preset curing grade standards are pre-defined rules for corresponding curing degree and grade. For example, factory standards might be: Grade A (90%-100% curing degree), Grade B (70%-89%), and Grade C (<70%). The current curing grade refers to the grade corresponding to the curing degree at a specific moment. For example, when the curing degree is 69%, the current grade is Grade C. The real-time measured curing degree can be substituted into the grade standard to find the corresponding grade label, thus completing the conversion from curing degree to curing grade.

[0096] S520 verifies multiple consecutive current cure levels to confirm the cure level. Verification means that if multiple consecutive time points belong to the same cure level, the cure level is determined. If fluctuations exist, the level with the highest percentage is taken as the cure level.

[0097] It is understandable that multiple consecutive current cure levels refer to multiple levels of data collected at fixed intervals over a period of time during the curing process of cellulose acetate boards, such as recording once every 5 minutes, for a total of 5 levels. Verification refers to analyzing multiple consecutive levels to eliminate random fluctuations and confirm the stable cure level of the board, avoiding the randomness of data from a single point in time. Confirming the cure level means obtaining the final level that represents the true cure state of the board through verification. For example, if 5 consecutive levels are all grade B, then the confirmed level is grade B; if there are 3 grades B and 2 grades C among the 5 levels, then grade B with the highest percentage is the confirmed level. Statistical analysis can be performed on multiple consecutive levels to determine the cure level.

[0098] By employing steps S510 to S520, the instability in curing grade determination caused by fluctuations in curing grade at a single point in time can be resolved, enabling reliable confirmation of the curing grade. These steps ensure the stability of curing grade determination, meeting the requirements for batch-wide quality consistency in production and preventing the rework of qualified boards or the entry of substandard boards into the market due to incorrect grade determination.

[0099] In one possible implementation, S520 verifies multiple consecutive current cure levels to confirm the cure level, including: S521 collects multiple current solidification levels to form a level sequence.

[0100] As can be understood, a grade sequence refers to a set of data formed by arranging multiple continuously collected current fixed grades in chronological order. For example, if data is collected every 5 minutes, and the grades obtained within 15 minutes are B, B, and C, then the sequence is [B, B, C]. Collecting multiple current fixed grades means recording the current grade at fixed time intervals, and these grades can be arranged in chronological order to obtain a grade sequence.

[0101] S522, the frequency of occurrence of each current solidification level in the statistical level sequence.

[0102] As can be understood, frequency of occurrence refers to the number of times each solidification level appears in the level sequence. For example, in the sequence [B,B,C,B,B], B appears 4 times and C appears 1 time, meaning the frequency of B is 4 and the frequency of C is 1. The frequency of occurrence of each level in the sequence can be counted to determine the proportion of each level.

[0103] S523 If the frequency of occurrence of the current curing grade is continuous and without fluctuation, then the curing grade is directly confirmed.

[0104] It is understandable that "continuous and without fluctuations" means that all levels in the grade sequence are completely consistent, with no other levels appearing. For example, in the sequence [B,B,B,B], all levels are B, with no fluctuations. Directly confirming the solidified level means that when the sequence has no fluctuations, no further calculation is needed, and level B is directly taken as the solidified level. For example, the above sequence is directly confirmed as level B, because continuous and stable levels can reliably reflect the solidified state.

[0105] S524. If there is no single level frequency in the level sequence, the level with the highest frequency of occurrence shall be used as the fixed level.

[0106] It's understandable that "no single-level frequency" should actually mean "no single-level percentage." "No single-level frequency" means that multiple different levels exist in the level sequence. For example, in the sequence [B,B,C,B,C], both B and C appear. The highest-frequency level is the level that appears most frequently in the sequence. For example, in the above sequence, B appears 3 times and C appears 2 times; B is the highest-frequency level. A solidified level can be determined by taking the highest-frequency level when the sequence fluctuates, as it better represents the solidified state most of the time. For example, in the above sequence, the solidified level is confirmed to be level B.

[0107] By employing steps S521 to S524, the problem of chaotic grade determination under irregular and fluctuating conditions in continuous grade sequence processing can be solved, achieving standardized grade verification. These steps make the grade verification process replicable and traceable, improving the scientific rigor and accuracy of fixed grade determination and meeting the standardized requirements of production quality control.

[0108] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0109] Corresponding to the online monitoring method for the curing state of cellulose acetate sheets described in the above embodiments, this application also provides an online monitoring device for the curing state of cellulose acetate sheets. Each unit of the device can realize each step of the online monitoring method for the curing state of cellulose acetate sheets. Figure 3 This is a schematic diagram of the online monitoring device for the curing state of cellulose acetate sheets provided in this application embodiment. For ease of explanation, only the parts related to this application embodiment are shown.

[0110] Reference Figure 3 The device includes: The acquisition unit is used to acquire the frequency signals of solvent concentration in gas chromatography and solvent residue in cellulose acetate sheets.

[0111] The concentration unit is used to obtain the solvent concentration and solvent residue of the cellulose acetate sheet based on the frequency signals of the gas chromatography and solvent residue.

[0112] The residual unit is used to obtain the solvent residual rate of cellulose acetate sheets based on the solvent concentration and residual amount of the cellulose acetate sheets. The solvent residual rate reflects the amount of solvent reduced during the curing process of the cellulose acetate sheets.

[0113] The curing unit is used to determine the degree of curing of the cellulose acetate sheet based on the solvent residue rate. The degree of curing reflects the completeness of the curing process of the cellulose acetate sheet.

[0114] The grade unit is used to determine the curing grade of cellulose acetate sheets based on their degree of curing. The curing grade reflects the curing state of the cellulose acetate sheets.

[0115] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0116] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units is used as an example. In practical applications, the above functions can be assigned to different functional units as needed, that is, the internal structure of the device can be divided into different functional units to complete all or part of the functions described above. The functional units in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0117] This application also provides an electronic device. Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device 6 of this embodiment includes: at least one processor 60 ( Figure 4 Only one is shown in the image), at least one memory 61 ( Figure 4 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, wherein when the processor 60 executes the computer program 62, it causes the electronic device 6 to perform the steps in any of the above embodiments of the online monitoring method for the curing state of cellulose acetate sheets, or causes the electronic device 6 to perform the functions of the units in the above embodiments of the apparatus.

[0118] For example, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the electronic device 6.

[0119] The electronic device 6 can be an eyeglass injection molding machine, which includes a machine body, a micro-sampling probe, and a quartz crystal microbalance sensor. The micro-sampling probe is installed in the cooling section of the molded sheet to continuously draw in the solvent gas volatilized from the sheet for obtaining solvent concentration gas chromatography. The quartz crystal microbalance sensor is attached to the surface of the sheet and senses the frequency signal of solvent residue through frequency changes. The eyeglass injection molding machine body includes a control system, a temperature sensor, and a humidity sensor. The control system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in any of the above aspects. When the eyeglass injection molding machine starts the production line, the control system controls the micro-sampling probe and the quartz crystal microbalance sensor to obtain the solvent concentration gas chromatography and the frequency signal of solvent residue of the cellulose acetate sheet, obtaining the solvent residue rate. Then, environmental parameters are obtained through the temperature sensor and humidity sensor to obtain the degree of curing. Based on the degree of curing, the curing level is obtained. Thus, the curing status of the cellulose acetate sheet is fed back in real time. The electronic device 6 may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 4 This is merely an example of electronic device 6 and does not constitute a limitation on electronic device 6. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0120] The processor 60 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0121] In some embodiments, the memory 61 may be an internal storage unit of the electronic device 6, such as a hard disk or memory of the electronic device 6. In other embodiments, the memory 61 may be an external storage device of the electronic device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 6. Furthermore, the memory 61 may include both internal and external storage units of the electronic device 6. The memory 61 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0122] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0123] This application provides a computer program product that, when run on an electronic device, causes the electronic device to perform the steps in any of the above method embodiments.

[0124] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to an electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0125] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0126] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0127] In the embodiments provided in this application, it should be understood that the disclosed online monitoring method, device, and electronic equipment for the curing state of cellulose acetate sheets can be implemented in other ways. For example, the embodiments of the online monitoring device and electronic equipment for the curing state of cellulose acetate sheets described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units may be electrical, mechanical, or other forms.

[0128] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0129] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for online monitoring of the curing state of cellulose acetate sheets, characterized in that, include: The frequency signals of solvent concentration and solvent residue in cellulose acetate sheets were obtained by gas chromatography. Based on the solvent concentration gas chromatography and the frequency signal of the solvent residue of the cellulose acetate sheet, the solvent concentration and solvent residue of the cellulose acetate sheet are obtained. Based on the solvent concentration and the solvent residue of the cellulose acetate sheet, the solvent residue rate of the cellulose acetate sheet is obtained; wherein, the solvent residue rate reflects the amount of solvent reduced during the curing process of the cellulose acetate sheet; The degree of curing of the cellulose acetate sheet is determined based on the solvent residue rate of the cellulose acetate sheet; wherein the degree of curing reflects the degree of completion of curing of the cellulose acetate sheet. Based on the degree of curing of the cellulose acetate sheet, the curing grade of the cellulose acetate sheet is determined; wherein the curing grade is used to reflect the curing state of the cellulose acetate sheet.

2. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 1, characterized in that, The acquisition of frequency signals of solvent concentration and solvent residue in the cellulose acetate sheet via gas chromatography includes: After the acetate fiber sheet production line is started, the micro sampling probe and quartz crystal microbalance sensor are activated. Based on the aforementioned micro-sampling probe and quartz crystal microbalance sensor, the frequency signals of solvent concentration and solvent residue of the cellulose acetate sheet were acquired by gas chromatography and solvent chromatography, respectively.

3. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 2, characterized in that, The method of obtaining the solvent concentration and solvent residue of the cellulose acetate sheet based on the frequency signals of the gas chromatography of the solvent concentration and the solvent residue includes: Gas chromatographic analysis of the solvent concentration of the cellulose acetate sheet was performed to obtain the peak area of ​​the solvent characteristic peak; The solvent concentration of the cellulose acetate sheet is obtained by substituting the peak area of ​​the solvent characteristic peak into a preset solvent concentration standard curve. The frequency signal of the solvent residue on the cellulose acetate sheet is processed to obtain the initial frequency and the real-time monitoring frequency; The frequency change is obtained based on the initial frequency and the real-time monitoring frequency. Based on the frequency change and the inherent parameters of the quartz crystal microbalance sensor, the solvent residue of the cellulose acetate sheet is obtained; wherein, the inherent parameters represent the parameters set by the quartz crystal microbalance sensor at the time of manufacture.

4. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 1, characterized in that, The process of obtaining the solvent residue rate of the cellulose acetate sheet based on the solvent concentration and the solvent residue amount includes: Obtain the solvent concentration and solvent residue at the same time interval, and determine the solvent concentration curve and solvent residue curve; The solvent concentration curve and the solvent residue curve are fitted to obtain the solvent concentration fitting curve and the solvent residue fitting curve, respectively. Based on the solvent concentration fitting curve and the solvent residue fitting curve, the solvent residue rate curve of the acetate fiber board is obtained; wherein, the solvent residue rate curve reflects the dynamic change law of solvent residue rate over time during the curing process; The solvent residue rate was obtained by discrete analysis of the solvent residue rate curve of the cellulose acetate sheet.

5. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 4, characterized in that, The step of obtaining the solvent residue rate curve of the cellulose acetate sheet based on the solvent concentration fitting curve and the solvent residue fitting curve includes: Based on the solvent concentration fitting curve, the initial solvent concentration is extracted to obtain the initial total solvent dose; wherein, the initial total dose is the solvent dose when the cellulose acetate board begins to cure; Based on the initial total solvent dose and the solvent residue fitting curve, the solvent residue rate at each time point is obtained; By linearly fitting the detection time as the horizontal axis and the solvent residue rate as the vertical axis, the solvent residue rate curve of the cellulose acetate board is obtained.

6. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 4, characterized in that, The solvent residue rate is obtained by discrete analysis of the solvent residue rate curve of the cellulose acetate sheet, including: The time interval for discrete analysis is set, wherein the time interval is determined based on the dynamic change rate of the curing process of the cellulose acetate sheet and the online monitoring accuracy requirements; According to the time interval, extract the solvent residual rate values ​​corresponding to each discrete time point from the solvent residual rate curve to form a discrete data sequence; Anomaly detection is performed on the discrete data sequence to remove outliers that exceed a preset threshold range, resulting in a corrected discrete data sequence; wherein, the preset threshold range is set based on the historical residual rate fluctuation range of similar cellulose acetate board curing processes; The average residual rate is calculated based on the corrected discrete data sequence, and the average residual rate is used as the solvent residual rate of the cellulose acetate board.

7. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 1, characterized in that, Determining the degree of curing of the cellulose acetate sheet based on the solvent residue rate of the cellulose acetate sheet includes: Set the baseline parameters for calculating the degree of cure; wherein, the baseline parameters include the initial residual rate and the target residual rate; Based on the mapping relationship between the solvent residue rate and the degree of curing and the solvent residue rate, the real-time degree of curing is obtained; The real-time curing degree is dynamically verified to obtain the calibrated curing degree; wherein, the calibrated curing degree is a high-precision value after dynamic deviation correction of the real-time curing degree. The degree of curing of the cellulose acetate board is determined based on the calibrated degree of curing.

8. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 7, characterized in that, The dynamic verification of the real-time cure degree to obtain the calibrated cure degree includes: Environmental parameters during the curing process are collected, and an environmental impact correction signal is triggered when they exceed the range; wherein, the environmental parameters represent environmental factors that interfere with the curing process. Based on the preset environmental impact coefficient matrix and the environmental impact correction signal, the correction value of the environmental parameters to the real-time curing degree is calculated; Based on the correction value of the real-time curing degree, the basic offset corrected curing degree is obtained; The basic offset correction curing degree is smoothed to obtain the calibrated curing degree.

9. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 1, characterized in that, Determining the curing grade of the cellulose acetate sheet based on its degree of curing includes: The degree of curing of the cellulose acetate board is compared with a preset curing grade standard to determine the current curing grade; Verify multiple consecutive current curing levels to confirm the curing level; wherein, the verification means that if multiple consecutive time points belong to the same level, the curing level is obtained; if there are fluctuations, the level with the highest percentage is taken as the curing level.

10. The method for online monitoring of the curing state of cellulose acetate sheets according to claim 9, characterized in that, The step of verifying multiple consecutive current curing levels to confirm the curing level includes: Collect multiple current solidification levels to form a level sequence; Statistically analyze the frequency of occurrence of each current curing level in the aforementioned level sequence; If the grade sequence appears only once and continuously without fluctuation, the solidification grade is directly confirmed. If there is no single frequency in the grade sequence, the grade with the highest frequency of occurrence shall be used as the solidification grade.

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