Method for controlling content of each ion in penetrant production process

Abstract

The invention discloses a method for controlling the content of each ion in a penetrant production process, which belongs to the technical field of penetrant production and comprises the following steps: collecting chromatographic data of each ion in the penetrant production process; processing the chromatographic data of each ion in the penetrant production process, and determining the chromatographic characteristic data of each ion in the penetrant production process; analyzing the chromatographic characteristic data of each ion in the penetrant production process, and determining the content detection result of each ion in the penetrant production process; and the content of each ion in the penetrant production process is intelligently controlled, so that the content of each ion in the penetrant production process meets the requirements of the penetrant production process. The invention solves the problem that the content of each ion in the penetrant production process cannot be effectively detected and controlled in the prior art. According to the invention, the content of each ion in the penetrant production process can be effectively detected and controlled, the stability of the content of each ion in the penetrant can be effectively guaranteed, and the product quality and the penetrant production efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of penetrant production, in particular to a method for controlling the content of various ions in a penetrant production process. Background Art

[0002] Penetrants are widely used chemicals in industry, often used in printing and dyeing, emulsification, dispersion, and stabilization processes. Chlorine, fluorine, and sulfur ions are common impurities in penetrants. Excessive levels of these ions can directly impact the penetrant's effectiveness and the stability of subsequent processes. Therefore, strict control of these ions is crucial.

[0003] The Chinese patent application with publication number CN101285263A discloses an environmentally friendly strong alkali-resistant penetrant production process. The process comprises the following steps: placing isooctyl alcohol in a clean and dry reactor, stirring, heating to 50-70°C, uniformly adding a cosolvent under stirring, slowly heating and controlling the temperature between 100-130°C, and evenly adding a portion of sulfamic acid to the reactor after the cosolvent is completely dissolved. The addition is completed within 70-90 minutes, the reaction temperature is controlled at 100-130°C for 2 hours, the remaining sulfamic acid is added to the reactor, and the reaction is kept warm for 3-5 hours. The penetrant is sampled and tested for penetrability, requiring a 5g sample to have a penetrability of less than 6 seconds in a concentrated alkali solution of 320g / L NaOH. After passing the test, a certain amount of soft water is added, stirred, and then cooled to 60-80°C for discharging. The penetrant produced by this process can meet the process requirements of the one-step method of cotton pre-treatment, namely, descaling, boiling, and bleaching. The process has good alkali resistance, permeability, and thermal stability, and is biodegradable.

[0004] However, this patent has the following defects:

[0005] Existing technologies cannot effectively detect and control the content of various ions in the penetrant production process, and cannot effectively guarantee the stability of the content of various ions in the penetrant, resulting in low product quality and penetrant production efficiency. Summary of the Invention

[0006] The object of the present invention is to provide a method for controlling the content of various ions in the production process of penetrants, which can effectively detect and control the content of various ions in the production process of penetrants, effectively ensure the stability of the content of various ions in the penetrants, improve product quality and penetrant production efficiency, and solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] Methods for controlling the content of various ions in the penetrant production process include:

[0009] Based on ion chromatography, the content of chlorine, fluorine and sulfur ions in the penetrant production process is monitored in real time, and the ion chromatography data of each ion in the penetrant production process is collected;

[0010] Process the ion chromatographic data of each ion in the penetrant production process, extract the features useful for controlling the content of each ion in the penetrant production process, and determine the characteristic data of each ion chromatographic data in the penetrant production process;

[0011] Analyze the ion chromatographic characteristic data of each ion in the penetrant production process, detect the content of each ion in the penetrant production process, and determine the detection results of each ion content in the penetrant production process;

[0012] According to the test results of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process is intelligently controlled to ensure that the content of each ion in the penetrant production process meets the requirements of the penetrant production process.

[0013] Preferably, the characteristic data of each ion chromatography in the production process of the penetrant is analyzed, the content of each ion in the production process of the penetrant is detected, and the following operations are performed:

[0014] According to the control requirements of various ion contents in the penetrant production process, a trace detection model for various ion contents in the penetrant production process is established;

[0015] Deploy the trace detection model of each ion content in the penetrant production process, and deploy the trace detection model of each ion content in the penetrant production process in the actual trace detection environment of each ion content in the penetrant production process;

[0016] The ion chromatographic characteristic data of each ion in the penetrant production process are input into the trace detection model of each ion content in the penetrant production process. According to the trace detection model of each ion content in the penetrant production process, the ion chromatographic characteristic data of each ion in the penetrant production process are analyzed and identified, and the content of each ion in the penetrant production process is detected, so as to determine the detection results of each ion content in the penetrant production process.

[0017] Preferably, when intelligently controlling the content of each ion in the penetrant production process, the concentration of each ion in the penetrant production process is adjusted by changing the electrode potential;

[0018] Among them, when it is detected that the concentration of various ions in the penetrant production process is too high, the dosage of the ion exchanger is automatically increased or the excessive ions in the penetrant production process are removed through chemical reactions;

[0019] At the same time, the content of each ion in the penetrant production process after content control is monitored in real time, and the content of each ion in the penetrant production process is adjusted according to the monitoring feedback, forming a closed-loop control of the content of each ion in the penetrant production process.

[0020] Preferably, according to the detection results of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process is intelligently controlled, and the following operations are performed:

[0021] According to the control requirements of each ion content in the penetrant production process, the content standards of each ion in the penetrant production process are pre-set. According to the pre-set content standards of each ion in the penetrant production process, the test results of each ion content in the penetrant production process are analyzed to evaluate whether the content of each ion in the penetrant production process meets the requirements of the penetrant production process;

[0022] When the test results of the content of each ion in the penetrant production process are within the standard range of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process meets the requirements of the penetrant production process;

[0023] When the test results of the content of each ion in the penetrant production process are not within the standard range of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process does not meet the requirements of the penetrant production process. At this time, the concentration of each ion in the penetrant production process is adjusted by the ion electrode, thereby controlling the content of each ion in the penetrant production process until the content of each ion in the penetrant production process meets the requirements of the penetrant production process.

[0024] Preferably, a trace detection model for each ion content in the penetrant production process is established, and the following operations are performed:

[0025] Collect historical data on the content of various ions in the production process of the penetrant, divide the collected historical data on the content of various ions in the production process of the penetrant, and determine the training set and test set;

[0026] Based on deep learning technology, a training set is used to train the deep learning model, so that the deep learning model can autonomously learn the trace detection behavior of each ion content in the penetrant production process from the training set, and perform trace detection of each ion content in the penetrant production process, thereby determining the trace detection model of each ion content in the penetrant production process;

[0027] Based on the test set, the trace detection model of each ion content in the penetrant production process is tested to evaluate the trace detection performance of the trace detection model of each ion content in the penetrant production process, and to determine whether the trace detection model of each ion content in the penetrant production process can achieve the expected effect of trace detection of each ion content in the penetrant production process;

[0028] When the trace detection model of each ion content in the penetrant production process cannot achieve the expected effect of conducting trace detection of each ion content in the penetrant production process, the parameters of the trace detection model of each ion content in the penetrant production process are continuously adjusted, and the trace detection model of each ion content in the penetrant production process is continuously iteratively optimized until the trace detection model of each ion content in the penetrant production process can achieve the expected effect of conducting trace detection of each ion content in the penetrant production process, thereby determining the optimal trace detection model of each ion content in the penetrant production process.

[0029] Preferably, the ion chromatography data of each ion chromatography in the penetrant production process are collected, including:

[0030] Use high-purity water to prepare the eluent and regeneration solution. The eluent is filtered through a 0.45 μm pore size filter membrane and vacuum degassed to remove bubbles. Pre-treat the penetrant sample to ensure that the penetrant sample concentration is within the detection range. Use a clean sample bottle to store the pre-treated penetrant sample.

[0031] Open the main valve of the nitrogen cylinder of the ion chromatograph, adjust the pressure reducing valve to 0.2 MPa, and set the flow rate and column temperature parameters of the ion chromatograph. The flow rate is set to 1.0-1.2 mL / min and the column temperature is 30°C. Start the pump, flush the system with eluent, remove bubbles, and wait for the baseline to stabilize before analyzing the sample.

[0032] Place the penetrant solution in the automatic sampler, and avoid bubbles in the penetrant sample from entering the chromatographic column. Set the injection volume and start the automatic injection program. After the injection is completed, observe the chromatogram and collect the ion chromatographic data of each ion in the penetrant production process.

[0033] Preferably, the ion chromatography data in the permeation agent production process are processed to perform the following operations:

[0034] Clean the ion chromatography data in the penetrant production process to remove the noise data that is useless for controlling the content of each ion in the penetrant production process;

[0035] Check the ion chromatography data of each ion chromatography data in the penetrant production process, identify the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process, and evaluate the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process to determine whether the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process are useful for controlling the content of each ion in the penetrant production process;

[0036] If the abnormal value in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process, then the abnormal value in each ion chromatographic data in the penetrant production process is corrected;

[0037] If the abnormal values ​​in the ion chromatographic data in the penetrant production process are useless for controlling the content of each ion in the penetrant production process, the abnormal values ​​in the ion chromatographic data in the penetrant production process are removed.

[0038] Preferably, to determine whether the abnormal values ​​in the ion chromatographic data in the penetrant production process are useful for controlling the content of each ion in the penetrant production process, the following operations are performed:

[0039] Retrieve the normal data values ​​corresponding to each ion chromatographic data;

[0040] Obtaining the normal data median corresponding to each ion chromatogram data according to the normal data value corresponding to each ion chromatogram data;

[0041] Retrieving the process feasible data range corresponding to each ion chromatographic data, and obtaining the process feasible range width according to the boundary value of the process feasible data range;

[0042] Retrieve the target values ​​corresponding to each ion chromatography data in the penetrant production process requirements;

[0043] According to the data deviation between the abnormal value corresponding to each ion chromatogram data and the corresponding target value;

[0044] Obtaining a process feasibility index corresponding to an abnormal value in each ion chromatographic data according to a normal data median and a process feasible range width corresponding to each ion chromatographic data;

[0045] Retrieve the mass influence weight of the ion to which the abnormal value in each ion chromatogram data belongs;

[0046] The mass influence weight of the ion to which the outlier in each ion chromatographic data belongs and the data deviation between the outlier corresponding to each ion chromatographic data and its corresponding target value are combined with the process feasibility index to determine whether the outlier in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process.

[0047] Preferably, the mass influence weight of the ion to which the outlier in each ion chromatographic data belongs and the data deviation between the outlier corresponding to each ion chromatographic data and its corresponding target value are combined with the process feasibility index to determine whether the outlier in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process, and the following operations are performed:

[0048] Retrieving the process feasibility index corresponding to the abnormal value in each ion chromatographic data;

[0049] Retrieving the mass influence weight of the ion to which the abnormal value in each ion chromatogram data belongs and the data deviation between the abnormal value corresponding to each ion chromatogram data and its corresponding target value;

[0050] Obtaining a mass impact index corresponding to the abnormal value of each ion chromatogram data by using the mass impact weight of the ion to which the abnormal value in each ion chromatogram data belongs and the data deviation between the abnormal value corresponding to each ion chromatogram data and its corresponding target value;

[0051] Obtaining an outlier utility index corresponding to each outlier in the ion chromatogram data using a process feasibility index and a quality impact index corresponding to each outlier in the ion chromatogram data;

[0052] comparing the outlier utility index with a preset utility index threshold;

[0053] When the outlier utility index is not lower than a preset utility index threshold, it is determined that the outlier corresponding to the outlier utility index is useful for controlling the content of each ion in the penetrant production process.

[0054] Preferably, the ion chromatography data in the permeation agent production process are processed, and the following operations are further performed:

[0055] Normalizing the ion chromatography data of each ion chromatography in the penetrant production process to remove the dimension differences in the ion chromatography data of each ion chromatography in the penetrant production process to form standardized ion chromatography data of each ion chromatography in the penetrant production process;

[0056] Feature extraction is performed on the ion chromatographic data of each ion in the penetrant production process, and features useful for controlling the content of each ion in the penetrant production process are extracted from the ion chromatographic data of each ion in the penetrant production process. The characteristic data of each ion chromatographic data in the penetrant production process are determined, including peak area characteristics, retention time characteristics and ion concentration change trend characteristics.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] The present invention uses an ion chromatograph to monitor the contents of chlorine, fluorine and sulfur ions in a penetrant production process in real time, collects ion chromatographic data of each ion in the penetrant production process, processes the ion chromatographic data of each ion in the penetrant production process, extracts features useful for controlling the content of each ion in the penetrant production process, determines the characteristic data of each ion chromatogram in the penetrant production process, analyzes the characteristic data of each ion chromatogram in the penetrant production process, detects the content of each ion in the penetrant production process, determines the detection results of the content of each ion in the penetrant production process, and intelligently controls the content of each ion in the penetrant production process according to the detection results of the content of each ion in the penetrant production process, so that the content of each ion in the penetrant production process meets the requirements of the penetrant production process, can effectively detect and control the content of each ion in the penetrant production process, can effectively ensure the stability of the content of each ion in the penetrant, and can improve product quality and penetrant production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 The present invention is a flowchart of a method for controlling the content of various ions in the production process of a penetrant. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0061] In order to solve the existing problem of being unable to effectively detect and control the content of various ions in the penetrant production process, and being unable to effectively ensure the stability of the content of various ions in the penetrant, resulting in low product quality and penetrant production efficiency, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0062] Example 1

[0063] Methods for controlling the content of various ions in the penetrant production process include:

[0064] Based on the ion chromatograph, the content of chlorine, fluorine and sulfur ions in the penetrant production process is monitored in real time, and the ion chromatographic data of each penetrant production process is collected.

[0065] In this embodiment, the ion chromatography data of each osmotic agent production process is collected, including:

[0066] Use high-purity water to prepare the eluent and regeneration solution. The eluent is filtered through a 0.45 μm pore size filter membrane and vacuum degassed to remove bubbles. Pre-treat the penetrant sample to ensure that the penetrant sample concentration is within the detection range. Use a clean sample bottle to store the pre-treated penetrant sample.

[0067] Open the main valve of the nitrogen cylinder of the ion chromatograph, adjust the pressure reducing valve to 0.2 MPa, and set the flow rate and column temperature parameters of the ion chromatograph. The flow rate is set to 1.0-1.2 mL / min and the column temperature is 30°C. Start the pump, flush the system with eluent, remove bubbles, and wait for the baseline to stabilize before analyzing the sample.

[0068] Place the penetrant solution in the automatic sampler, and avoid bubbles in the penetrant sample from entering the chromatographic column. Set the injection volume and start the automatic injection program. After the injection is completed, observe the chromatogram and collect the ion chromatographic data of each ion in the penetrant production process.

[0069] It should be noted that the content of chlorine, fluorine and sulfur ions in the penetrant production process is monitored in real time by an ion chromatograph, thereby collecting the ion chromatographic data of each ion in the penetrant production process, which is convenient for real-time detection of the content of each ion in the penetrant production process.

[0070] The ion chromatographic data of each ion in the penetrant production process are processed, the features useful for controlling the content of each ion in the penetrant production process are extracted, and the characteristic data of each ion chromatographic data in the penetrant production process are determined.

[0071] In this embodiment, the ion chromatography data of each osmotic agent production process are processed, and the following operations are performed:

[0072] Clean the ion chromatography data in the penetrant production process to remove the noise data that is useless for controlling the content of each ion in the penetrant production process;

[0073] Check the ion chromatography data of each ion chromatography data in the penetrant production process, identify the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process, and evaluate the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process to determine whether the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process are useful for controlling the content of each ion in the penetrant production process;

[0074] If the abnormal value in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process, then the abnormal value in each ion chromatographic data in the penetrant production process is corrected;

[0075] If the abnormal values ​​in the ion chromatographic data in the penetrant production process are useless for controlling the content of each ion in the penetrant production process, the abnormal values ​​in the ion chromatographic data in the penetrant production process are removed.

[0076] It should be noted that by cleaning the ion chromatography data of each ion chromatography in the penetrant production process, the noise data can be removed, and the outliers in the ion chromatography data of each ion chromatography in the penetrant production process can be processed, so as to improve the data quality of the ion chromatography data of each ion chromatography in the penetrant production process.

[0077] Specifically, to determine whether the abnormal values ​​in the ion chromatographic data of each ion in the penetrant production process are useful for controlling the content of each ion in the penetrant production process, perform the following operations:

[0078] Retrieve the normal data values ​​corresponding to each ion chromatographic data;

[0079] Obtaining the normal data median corresponding to each ion chromatogram data according to the normal data value corresponding to each ion chromatogram data;

[0080] Retrieving the process feasible data range corresponding to each ion chromatographic data, and obtaining the process feasible range width according to the boundary value of the process feasible data range;

[0081] Retrieve the target values ​​corresponding to each ion chromatography data in the penetrant production process requirements;

[0082] According to the data deviation between the abnormal value corresponding to each ion chromatogram data and the corresponding target value;

[0083] Obtaining a process feasibility index corresponding to an abnormal value in each ion chromatographic data according to a normal data median and a process feasible range width corresponding to each ion chromatographic data;

[0084] Retrieve the mass influence weight of the ion to which the abnormal value in each ion chromatogram data belongs;

[0085] The mass influence weight of the ion to which the outlier in each ion chromatographic data belongs and the data deviation between the outlier corresponding to each ion chromatographic data and its corresponding target value are combined with the process feasibility index to determine whether the outlier in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process.

[0086] The technical effect of the above technical solution is: by retrieving multi-dimensional data such as normal data values, process feasible data ranges, target values, etc., the association between the abnormal values ​​of ion chromatography data and the production process control targets is established. The abnormal values ​​of ion chromatography data are analyzed under the overall requirements of the production process (such as ion content control targets, process feasibility constraints), breaking the limitations of single data abnormality judgment, and realizing the extension from data abnormality identification to production process correlation analysis, so that the abnormal value judgment is more in line with the actual needs of penetrant production. The process feasibility index is calculated based on the median of normal data and the width of the process feasible range, and the feasible constraints of the penetrant production process on ion content are converted into quantifiable indicators, so that the impact of abnormal values ​​on process feasibility can be accurately measured, and the significance of abnormal values ​​at the process execution level is clarified, providing a quantitative basis for the process dimension to determine whether it helps to control ion content. The mass influence weight of ions is introduced, and the degree of influence of ions themselves on the quality of penetrants is included in the abnormal value judgment logic. From the perspective of penetrant quality control, the association between abnormal values ​​and quality impact is established, so that abnormal value judgment not only focuses on process execution, but also extends to quality results, realizing the coordinated consideration of production process control and quality targets.

[0087] Compared with existing technologies, this method breaks through the limitation of traditional outlier determination based solely on statistical distribution. Data anomalies are no longer viewed in isolation, but rather ion chromatography data anomalies are deeply embedded in the entire "process-quality" chain of penetrant production. By integrating multi-dimensional information such as normal data values, process feasible data ranges, target values, and linking process feasibility constraints with quality control goals, a process feasibility index is constructed to quantify process adaptability, and quality impact weights are introduced to correlate quality control. This achieves a shift from simple data anomaly identification to value judgment that meets actual production needs. This solves the problem of data anomalies being out of touch with production value and the difficulty in distinguishing whether outliers are useful in existing technologies. This makes outlier determination more suitable for penetrant production scenarios, providing a more relevant and practical analytical basis for production process optimization and quality control.

[0088] Specifically, the mass influence weight of the ion to which the outlier in each ion chromatographic data belongs and the data deviation between the outlier corresponding to each ion chromatographic data and its corresponding target value are combined with the process feasibility index to determine whether the outlier in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process, and the following operations are performed:

[0089] Retrieving the process feasibility index corresponding to the abnormal value in each ion chromatographic data;

[0090] The process feasibility index corresponding to the abnormal value in each ion chromatographic data is obtained by the following formula:

[0091]

[0092] Wherein, PFI(x) represents the process feasibility index corresponding to the outlier in each ion chromatographic data; x represents the outlier in each ion chromatographic data; x p represents the median of normal data corresponding to each ion chromatographic data; σ p represents the width of the process feasible range; k represents the sensitivity adjustment factor, which ranges from 0.4 to 2.7; Θ(x) represents the boundary indicator function corresponding to the outliers in each ion chromatographic data. When the difference between the outliers in each ion chromatographic data and the boundary value of the process feasible data range closest to it is lower than the width of the process feasible range, Θ(x) = 1; when the difference between the outliers in each ion chromatographic data and the boundary value of the process feasible data range closest to it is not lower than the width of the process feasible range, Θ(x) = 0.7; specifically, |xx p | represents the abnormal value x and the normal data median x p The absolute deviation reflects the degree to which the ion chromatography data deviates from the “ideal center value” of the process; Divide by σ p , converting absolute deviation into a "normalized deviation coefficient" relative to process tolerance. Using the hyperbolic tangent function to match process realities, when ion fluctuations are small, the impact on feasibility increases approximately linearly with deviation. However, after fluctuations exceed a certain threshold (approaching the boundary of the process feasible range), feasibility decreases sharply and approaches the "infeasibility limit," preventing uncontrolled feasibility assessments from increasing indefinitely. Θ(x) indicates that when an outlier approaches the boundary of the process feasible range (difference < width of the process feasible range), the ion content is "on the verge of process out-of-control," requiring enhanced feasibility. If it is far from the boundary (difference ≥ width), the ion, despite being outlier, still has "adjustment buffer space," and feasibility can be relatively weakened. The above formula transforms ion data anomalies (deviations from the median), process constraints (width of the feasible range), and marginal risk (proximity to the boundary) into computable physical logic, upgrading "process feasibility" from an empirical judgment to a quantitative indicator based on the relationship between ion fluctuations and process constraints, accurately reflecting the impact of outliers on the continuity and stability of penetrant production.

[0093] Retrieving the mass influence weight of the ion to which the abnormal value in each ion chromatogram data belongs and the data deviation between the abnormal value corresponding to each ion chromatogram data and its corresponding target value;

[0094] Obtaining a mass impact index corresponding to the abnormal value of each ion chromatogram data by using the mass impact weight of the ion to which the abnormal value in each ion chromatogram data belongs and the data deviation between the abnormal value corresponding to each ion chromatogram data and its corresponding target value;

[0095] The quality impact index is obtained by the following formula:

[0096]

[0097] Where QII(x) represents the quality impact index corresponding to the outlier value of each ion chromatographic data; w represents the mass impact weight of the ion to which the outlier value corresponding to each ion chromatographic data belongs; Δx represents the data deviation between the outlier value corresponding to each ion chromatographic data and its corresponding target value; σ c Indicates the standard deviation of the control limits corresponding to the ion to which the outlier belongs; λ represents the nonlinear scaling factor, which ranges from 0.4 to 1.5; specifically, |Δx| represents the deviation between the outlier and the target value, reflecting the degree to which the ion content deviates from the quality target (the greater the deviation, the higher the quality risk). σ c Represents the process's "quality control accuracy" (σ c The smaller the value, the stricter the control); 1+σ c As the denominator, the absolute deviation is converted into the "normalized deviation coefficient" of relative control accuracy, which reflects that "under the same deviation, the higher the control accuracy (σ c The smaller the ion fluctuation, the more significant the impact on the quality. The exponential decay function is used to match the actual quality control. When the ion fluctuation is small, the impact on the quality increases exponentially with the deviation, thereby reducing The overall value causes the exponential term to approach 0, indicating a minimal impact on quality. When the outlier value x is far from the target value, the exponential term approaches 1, indicating a significant impact on quality. The exponential function exhibits high sensitivity to small deviations. Even slight deviations from the target ion content can result in a high quality impact index, highlighting the "warning value" of this outlier. It also exhibits high saturation for large deviations. The risk of extreme outliers has reached its upper limit, and further increases in deviation diminish the marginal impact on quality. However, the "usefulness" of outliers remains the highest, making its functional form highly compatible with the technical context of penetrant production.

[0098] Obtaining an outlier utility index corresponding to each outlier in the ion chromatogram data using a process feasibility index and a quality impact index corresponding to each outlier in the ion chromatogram data;

[0099] The outlier utility index is obtained by the following formula:

[0100] AUI=α*PFI(x)+β*QII(x)

[0101] Among them, AUI represents the outlier utility index corresponding to the outliers in each ion chromatographic data; α and β represent the dimension weight coefficients corresponding to the process feasibility index and quality impact index, respectively (which need to be determined by process verification and are equal weighted by default);

[0102] The outlier utility index is compared with a preset utility index threshold; wherein the

[0103] When the outlier utility index is not lower than a preset utility index threshold, it is determined that the outlier corresponding to the outlier utility index is useful for controlling the content of each ion in the penetrant production process.

[0104] The technical solution achieves the following: First, a quality impact index is calculated using quality impact weights and data deviations. This is then combined with the process feasibility index to derive the outlier utility index, thereby quantifying the dual value of outliers in terms of quality impact and process feasibility in a hierarchical manner. This deconstructs the complex influencing factors of outliers into calculable and comparable indices, enabling a refined assessment of outlier utility and improving the scientific nature of outlier identification. The usefulness of outliers is determined by comparing them against a preset utility index threshold, establishing clear and actionable decision criteria. This transforms the outlier utility analysis from a fuzzy one to a clear threshold, streamlining the decision-making process for outlier usefulness. This allows production process personnel to quickly and accurately identify outliers that are valuable for ion content control, thereby improving the efficiency of outlier application in production process control. By focusing on the calculation and determination of the outlier utility index, the value of outliers in ion content control in penetrant production is precisely explored. By focusing on the two key dimensions of quality impact and process feasibility, outliers with positive impacts on production control are screened, facilitating the extraction and utilization of effective data for production process optimization and providing a precise data foundation for subsequent outlier-based process adjustments and quality optimization.

[0105] Compared with existing technologies, it gets rid of the fuzzy decision-making model that relies on manual experience or simple thresholds to determine whether outliers are useful. By first calculating the quality impact index and then integrating the process feasibility index to obtain the outlier utility index, the complex outlier influencing factors are converted into clear indicators that can be calculated and compared in an indexed hierarchical evaluation manner, and a quantitative decision chain from multi-factor input to a single index output is constructed, and then a clear judgment is made with the help of a preset utility index threshold. The positive value of outliers in the control of ion content in penetrant production is accurately excavated to solve the problems of strong subjectivity in outlier judgment, fuzzy decision-making and insufficient value mining in existing technologies, simplify the decision-making process, and efficiently extract effective data for production process adjustment and quality optimization, so that outlier judgment is upgraded from experience-based decision-making to scientific and quantitative decision-making, which is more in line with the needs of penetrant production scenarios.

[0106] In this embodiment, the ion chromatography data of each osmotic agent production process are processed, and the following operations are also performed:

[0107] Normalizing the ion chromatography data of each ion chromatography in the penetrant production process to remove the dimension differences in the ion chromatography data of each ion chromatography in the penetrant production process to form standardized ion chromatography data of each ion chromatography in the penetrant production process;

[0108] Feature extraction is performed on the ion chromatographic data of each ion in the penetrant production process, and features useful for controlling the content of each ion in the penetrant production process are extracted from the ion chromatographic data of each ion in the penetrant production process. The characteristic data of each ion chromatographic data in the penetrant production process are determined, including peak area characteristics, retention time characteristics and ion concentration change trend characteristics.

[0109] It should be noted that by normalizing and extracting features of the ion chromatography data of each ion in the penetrant production process, the dimensional differences in the ion chromatography data of each ion in the penetrant production process can be removed, and features useful for controlling the content of each ion in the penetrant production process can be extracted, thereby determining the characteristic data of each ion chromatography in the penetrant production process, and providing data support for subsequent real-time detection of the content of each ion in the penetrant production process.

[0110] Analyze the chromatographic characteristic data of each ion in the penetrant production process, detect the content of each ion in the penetrant production process, and determine the detection results of the content of each ion in the penetrant production process.

[0111] According to the test results of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process is intelligently controlled to ensure that the content of each ion in the penetrant production process meets the requirements of the penetrant production process.

[0112] Example 2

[0113] In this embodiment, the characteristic data of each ion chromatogram in the penetrant production process are analyzed, and the content of each ion in the penetrant production process is detected. The following operations are performed:

[0114] According to the control requirements of various ion contents in the penetrant production process, a trace detection model for various ion contents in the penetrant production process is established;

[0115] Collect historical data on the content of various ions in the production process of the penetrant, divide the collected historical data on the content of various ions in the production process of the penetrant, and determine the training set and test set;

[0116] Based on deep learning technology, a training set is used to train the deep learning model, so that the deep learning model can autonomously learn the trace detection behavior of each ion content in the penetrant production process from the training set, and perform trace detection of each ion content in the penetrant production process, thereby determining the trace detection model of each ion content in the penetrant production process;

[0117] Based on the test set, the trace detection model of each ion content in the penetrant production process is tested to evaluate the trace detection performance of the trace detection model of each ion content in the penetrant production process, and to determine whether the trace detection model of each ion content in the penetrant production process can achieve the expected effect of trace detection of each ion content in the penetrant production process;

[0118] When the trace detection model of each ion content in the penetrant production process cannot achieve the expected effect of conducting trace detection of each ion content in the penetrant production process, the parameters of the trace detection model of each ion content in the penetrant production process are continuously adjusted, and the trace detection model of each ion content in the penetrant production process is continuously iteratively optimized until the trace detection model of each ion content in the penetrant production process can achieve the expected effect of conducting trace detection of each ion content in the penetrant production process, thereby determining the optimal trace detection model of each ion content in the penetrant production process;

[0119] Deploy the optimal detection model for the trace content of each ion in the penetrant production process, and deploy the model in the actual detection environment for the trace content of each ion in the penetrant production process;

[0120] The ion chromatographic characteristic data of each ion in the penetrant production process are input into the trace detection model of each ion content in the penetrant production process. According to the trace detection model of each ion content in the penetrant production process, the ion chromatographic characteristic data of each ion in the penetrant production process are analyzed and identified, and the content of each ion in the penetrant production process is detected, so as to determine the detection results of each ion content in the penetrant production process.

[0121] It should be noted that the trace detection model of each ion content in the penetrant production process is used to analyze and identify the chromatographic characteristic data of each ion in the penetrant production process, and the content of each ion in the penetrant production process is detected, so as to determine the detection results of each ion content in the penetrant production process, which is convenient for subsequent effective control of the content of each ion in the penetrant production process.

[0122] Example 3

[0123] In this embodiment, based on the detection results of the ion contents in the penetrant production process, the contents of the ions in the penetrant production process are intelligently controlled, and the following operations are performed:

[0124] According to the control requirements of each ion content in the penetrant production process, the content standards of each ion in the penetrant production process are pre-set. According to the pre-set content standards of each ion in the penetrant production process, the test results of each ion content in the penetrant production process are analyzed to evaluate whether the content of each ion in the penetrant production process meets the requirements of the penetrant production process;

[0125] When the test results of the content of each ion in the penetrant production process are within the standard range of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process meets the requirements of the penetrant production process;

[0126] When the test results of the content of each ion in the penetrant production process are not within the standard range of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process does not meet the requirements of the penetrant production process. At this time, the concentration of each ion in the penetrant production process is adjusted by the ion electrode, thereby controlling the content of each ion in the penetrant production process until the content of each ion in the penetrant production process meets the requirements of the penetrant production process.

[0127] In this embodiment, when the content of each ion in the penetrant production process is intelligently controlled, the concentration of each ion in the penetrant production process is adjusted by changing the electrode potential;

[0128] Among them, when it is detected that the concentration of various ions in the penetrant production process is too high, the dosage of the ion exchanger is automatically increased or the excessive ions in the penetrant production process are removed through chemical reactions;

[0129] At the same time, the content of each ion in the penetrant production process after content control is monitored in real time, and the content of each ion in the penetrant production process is adjusted according to the monitoring feedback, forming a closed-loop control of the content of each ion in the penetrant production process.

[0130] Specifically, according to the test results of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process is intelligently controlled. The control of the content of each ion in the penetrant production process is shown in Table 1:

[0131] Table 1: Control of ion content in penetrant production process

[0132]

[0133] Therefore, according to the test results of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process is intelligently controlled to ensure that the content of each ion in the penetrant production process meets the requirements of the penetrant production process, which can effectively ensure the stability of the content of each ion in the penetrant and improve product quality and penetrant production efficiency.

[0134] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0135] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling the content of various ions in a penetrant production process, characterized in that: include: Based on ion chromatography, the content of chlorine, fluorine and sulfur ions in the penetrant production process is monitored in real time, and the ion chromatography data of each ion in the penetrant production process is collected; Process the ion chromatographic data of each ion in the penetrant production process, extract the features useful for controlling the content of each ion in the penetrant production process, and determine the characteristic data of each ion chromatographic data in the penetrant production process; Analyze the ion chromatographic characteristic data of each ion in the penetrant production process, detect the content of each ion in the penetrant production process, and determine the detection results of each ion content in the penetrant production process; According to the test results of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process is intelligently controlled to ensure that the content of each ion in the penetrant production process meets the requirements of the penetrant production process.

2. The method for controlling the content of each ion in the penetrant production process according to claim 1, wherein: Analyze the characteristic data of each ion chromatographic process in the penetrant production process, detect the content of each ion in the penetrant production process, and perform the following operations: According to the control requirements of various ion contents in the penetrant production process, a trace detection model for various ion contents in the penetrant production process is established; Deploy the trace detection model of each ion content in the penetrant production process, and deploy the trace detection model of each ion content in the penetrant production process in the actual trace detection environment of each ion content in the penetrant production process; The ion chromatographic characteristic data of each ion in the penetrant production process are input into the trace detection model of each ion content in the penetrant production process. According to the trace detection model of each ion content in the penetrant production process, the ion chromatographic characteristic data of each ion in the penetrant production process are analyzed and identified, and the content of each ion in the penetrant production process is detected, so as to determine the detection results of each ion content in the penetrant production process.

3. The method for controlling the content of each ion in the penetrant production process according to claim 1, wherein: When intelligently controlling the content of each ion in the penetrant production process, the concentration of each ion in the penetrant production process is adjusted by changing the electrode potential; Among them, when it is detected that the concentration of various ions in the penetrant production process is too high, the dosage of the ion exchanger is automatically increased or the excessive ions in the penetrant production process are removed through chemical reactions; At the same time, the content of each ion in the penetrant production process after content control is monitored in real time, and the content of each ion in the penetrant production process is adjusted according to the monitoring feedback, forming a closed-loop control of the content of each ion in the penetrant production process.

4. The method for controlling the content of each ion in the penetrant production process according to claim 1, wherein: According to the test results of the ion content in the penetrant production process, the ion content in the penetrant production process is intelligently controlled and the following operations are performed: According to the control requirements of each ion content in the penetrant production process, the content standards of each ion in the penetrant production process are pre-set. According to the pre-set content standards of each ion in the penetrant production process, the test results of each ion content in the penetrant production process are analyzed to evaluate whether the content of each ion in the penetrant production process meets the requirements of the penetrant production process; When the test results of the content of each ion in the penetrant production process are within the standard range of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process meets the requirements of the penetrant production process; When the test results of the content of each ion in the penetrant production process are not within the standard range of the content of each ion in the penetrant production process, the content of each ion in the penetrant production process does not meet the requirements of the penetrant production process. At this time, the concentration of each ion in the penetrant production process is adjusted by the ion electrode, thereby controlling the content of each ion in the penetrant production process until the content of each ion in the penetrant production process meets the requirements of the penetrant production process.

5. The method for controlling the content of each ion in the penetrant production process according to claim 2, wherein: Establish a trace detection model for each ion content in the penetrant production process and perform the following operations: Collect historical data on the content of various ions in the production process of the penetrant, divide the collected historical data on the content of various ions in the production process of the penetrant, and determine the training set and test set; Based on deep learning technology, a training set is used to train the deep learning model, so that the deep learning model can autonomously learn the trace detection behavior of each ion content in the penetrant production process from the training set, and perform trace detection of each ion content in the penetrant production process, thereby determining the trace detection model of each ion content in the penetrant production process; Based on the test set, the trace detection model of each ion content in the penetrant production process is tested to evaluate the trace detection performance of the trace detection model of each ion content in the penetrant production process, and to determine whether the trace detection model of each ion content in the penetrant production process can achieve the expected effect of trace detection of each ion content in the penetrant production process; When the trace detection model of each ion content in the penetrant production process cannot achieve the expected effect of conducting trace detection of each ion content in the penetrant production process, the parameters of the trace detection model of each ion content in the penetrant production process are continuously adjusted, and the trace detection model of each ion content in the penetrant production process is continuously iteratively optimized until the trace detection model of each ion content in the penetrant production process can achieve the expected effect of conducting trace detection of each ion content in the penetrant production process, thereby determining the optimal trace detection model of each ion content in the penetrant production process.

6. The method for controlling the content of each ion in the penetrant production process according to claim 1, wherein: Collect ion chromatography data from the penetrant production process, including: Use high-purity water to prepare the eluent and regeneration solution. The eluent is filtered through a 0.45 μm pore size filter membrane and vacuum degassed to remove bubbles. Pre-treat the penetrant sample to ensure that the penetrant sample concentration is within the detection range. Use a clean sample bottle to store the pre-treated penetrant sample. Open the main valve of the nitrogen cylinder of the ion chromatograph, adjust the pressure reducing valve to 0.2 MPa, and set the flow rate and column temperature parameters of the ion chromatograph. The flow rate is set to 1.0-1.2 mL / min and the column temperature is 30°C. Start the pump, flush the system with eluent, remove bubbles, and wait for the baseline to stabilize before analyzing the sample. Place the penetrant solution in the automatic sampler, and avoid bubbles in the penetrant sample from entering the chromatographic column. Set the injection volume and start the automatic injection program. After the injection is completed, observe the chromatogram and collect the ion chromatographic data of each ion in the penetrant production process.

7. The method for controlling the content of each ion in the production process of a penetrant according to claim 1, wherein: Process the ion chromatography data of each product in the penetrant production process and perform the following operations: Clean the ion chromatography data in the penetrant production process to remove the noise data that is useless for controlling the content of each ion in the penetrant production process; Check the ion chromatography data of each ion chromatography data in the penetrant production process, identify the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process, and evaluate the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process to determine whether the abnormal values ​​in the ion chromatography data of each ion chromatography data in the penetrant production process are useful for controlling the content of each ion in the penetrant production process; If the abnormal value in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process, then the abnormal value in each ion chromatographic data in the penetrant production process is corrected; If the abnormal values ​​in the ion chromatographic data in the penetrant production process are useless for controlling the content of each ion in the penetrant production process, the abnormal values ​​in the ion chromatographic data in the penetrant production process are removed.

8. The method for controlling the content of each ion in the penetrant production process according to claim 7, wherein: To determine whether the abnormal values ​​in the ion chromatographic data of the penetrant production process are useful for controlling the content of each ion in the penetrant production process, perform the following operations: Retrieve the normal data values ​​corresponding to each ion chromatographic data; Obtaining the normal data median corresponding to each ion chromatogram data according to the normal data value corresponding to each ion chromatogram data; Retrieving the process feasible data range corresponding to each ion chromatographic data, and obtaining the process feasible range width according to the boundary value of the process feasible data range; Retrieve the target values ​​corresponding to each ion chromatography data in the penetrant production process requirements; According to the data deviation between the abnormal value corresponding to each ion chromatogram data and the corresponding target value; Obtaining a process feasibility index corresponding to an abnormal value in each ion chromatographic data according to a normal data median and a process feasible range width corresponding to each ion chromatographic data; Retrieve the mass influence weight of the ion to which the abnormal value in each ion chromatogram data belongs; The mass influence weight of the ion to which the outlier in each ion chromatographic data belongs and the data deviation between the outlier corresponding to each ion chromatographic data and its corresponding target value are combined with the process feasibility index to determine whether the outlier in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process.

9. The method for controlling the content of each ion in the penetrant production process according to claim 8, wherein: The mass influence weight of the ion to which the outlier in each ion chromatographic data belongs and the data deviation between the outlier corresponding to each ion chromatographic data and its corresponding target value are used in combination with the process feasibility index to determine whether the outlier in each ion chromatographic data in the penetrant production process is useful for controlling the content of each ion in the penetrant production process. The following operations are performed: Retrieving the process feasibility index corresponding to the abnormal value in each ion chromatographic data; Retrieving the mass influence weight of the ion to which the abnormal value in each ion chromatogram data belongs and the data deviation between the abnormal value corresponding to each ion chromatogram data and its corresponding target value; Obtaining a mass impact index corresponding to the abnormal value of each ion chromatogram data by using the mass impact weight of the ion to which the abnormal value in each ion chromatogram data belongs and the data deviation between the abnormal value corresponding to each ion chromatogram data and its corresponding target value; Obtaining an outlier utility index corresponding to each outlier in the ion chromatogram data using a process feasibility index and a quality impact index corresponding to each outlier in the ion chromatogram data; comparing the outlier utility index with a preset utility index threshold; When the outlier utility index is not lower than a preset utility index threshold, it is determined that the outlier corresponding to the outlier utility index is useful for controlling the content of each ion in the penetrant production process.

10. The method for controlling the content of various ions in the production process of a penetrant according to claim 7, wherein: The ion chromatographic data of each product in the penetrant production process are processed, and the following operations are performed: Normalizing the ion chromatography data of each ion chromatography in the penetrant production process to remove the dimension differences in the ion chromatography data of each ion chromatography in the penetrant production process to form standardized ion chromatography data of each ion chromatography in the penetrant production process; Feature extraction is performed on the ion chromatographic data of each ion in the penetrant production process, and features useful for controlling the content of each ion in the penetrant production process are extracted from the ion chromatographic data of each ion in the penetrant production process. The characteristic data of each ion chromatographic data in the penetrant production process are determined, including peak area characteristics, retention time characteristics and ion concentration change trend characteristics.

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