Pressure-driven rare earth process equipment operation safety management method and system
By separating the organic phase and the aqueous phase in a rare earth clarifier, and collecting and analyzing the separation process parameters of the rare earth process equipment in real time, and dynamically configuring the pressure threshold, the problems of false alarms and missed alarms of pressure anomalies in rare earth process equipment are solved. This enables accurate differentiation between pressure disturbance background and real faults, and improves the reliability and adaptability of the safety management system for rare earth process equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- MINXI VOCATIONAL & TECHN COLLEGE
- Filing Date
- 2026-02-25
- Publication Date
- 2026-05-12
AI Technical Summary
In the process of separating the organic and aqueous phases in existing rare earth process equipment, false alarms due to abnormal pressure and missed reports of real faults lead to inaccuracies in the safety management system, especially since it is difficult to distinguish the background pressure disturbance caused by unreasonable operating parameter settings.
By separating the organic phase and the aqueous phase in a rare earth clarifier, real-time acquisition of separation process parameters and stability parameters, fusion identification, dynamic configuration of pressure thresholds, and joint source tracing analysis based on pressure deviation characteristics, early warning commands are generated, enabling accurate differentiation between pressure disturbance background and actual faults.
It effectively distinguishes between pressure disturbance background and actual faults, reduces the probability of alarms being triggered by disturbances under normal operating conditions, improves the reliability and adaptability of pressure monitoring, avoids false alarms and missed alarms, and ensures the accuracy of the safety management system for rare earth process equipment.
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Figure CN121724610B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of data processing technology, and in particular to a method and system for safe operation management of rare earth process equipment based on pressure drive. Background Technology
[0002] Rare earth processes refer to a series of continuous technological operations implemented during the rare earth smelting and extraction separation production process, aiming at the enrichment, separation, and productization of rare earth components from rare earth-containing raw materials. These processes typically include multiple interconnected steps such as ore processing, material dissolution, rare earth extraction, and rare earth separation. Rare earth extraction, as a key step in rare earth processes, refers to the process of separating rare earth components from associated impurities and introducing them into the target phase within the aforementioned raw material or solution system through physical actions, chemical reactions, or a synergistic mechanism of both.
[0003] Existing rare earth process equipment operation safety management systems typically collect process data during rare earth production and input the relevant data into machine learning algorithm models for analysis, in order to achieve benefit assessment and operation optimization of rare earth extraction or recycling processes.
[0004] For example, the Chinese invention patent application CN120655281A discloses a monitoring system and method for the recycling process of rare earth waste based on industrial data processing. This includes: importing the compositional data and magnetic characteristic data of the rare earth waste during magnetic separation into a rare earth waste magnetic separation state analysis model to analyze the magnetic separation state of the rare earth waste during the magnetic separation process; importing the equipment status data of the recycling equipment into a recycling equipment processing state analysis model to analyze the equipment processing state of the recycling equipment during the rare earth waste magnetic separation process; evaluating the magnetic separation treatment efficiency of the rare earth waste based on the analysis results of the magnetic separation state of the rare earth waste and the equipment processing state analysis results of the recycling equipment; and optimizing and providing early warnings for the subsequent recycling process of the rare earth waste based on the evaluation results of the magnetic separation treatment efficiency of the rare earth waste.
[0005] The above-mentioned technology has at least the following technical problems:
[0006] Existing technologies primarily focus on evaluating process effects or treatment benefits, with insufficient attention paid to the intrinsic coupling relationships between key process variables in rare earth extraction and separation, especially lacking a systematic analysis of the pressure behavior characteristics caused by changes in operating conditions during the separation of the organic and aqueous phases.
[0007] In rare earth smelting and extraction separation processes, pressure is not only an important process parameter characterizing the operating status of reactors, clarifiers, and pipelines, but also a key safety parameter reflecting the safety boundary of process equipment. In actual operation, although the separation of the organic and aqueous phases is a normal target process, it is easily affected by factors such as mixing intensity, shear conditions, clarification residence time, flow distribution, and temperature fluctuations. This can easily lead to abnormal separation states such as intensified emulsification, unstable phase interfaces, or the formation of a third phase. These abnormalities will superimpose in the pressurized circulation loop to form a pressure disturbance background such as random fluctuations, quasi-periodic oscillations, or slow drifts. This makes it difficult for pressure monitoring based on fixed thresholds or a single time scale to effectively distinguish between controllable process disturbances and actual fault states, resulting in false alarms of pressure anomalies or key faults being overwhelmed by the disturbance background and missed. Summary of the Invention
[0008] To address the problem in existing technologies where unreasonable setting of operating parameters during the extraction and separation stages leads to abnormal two-phase separation and pressure disturbances, resulting in false alarms and missed reports of actual faults, this invention provides a pressure-driven method and system for safe operation management of rare earth process equipment. The technical solution is as follows:
[0009] On the one hand, a pressure-driven method for safe operation management of rare earth process equipment is provided. This method includes: performing separation of organic and aqueous phases in a rare earth clarifier, collecting separation process parameters and separation stability parameters during the separation process, analyzing the separation completion and separation stability determination states respectively, and then performing fusion identification to obtain the separation operation state category; executing the corresponding separation adjustment strategy and pressure threshold configuration strategy according to the separation operation state category to obtain the pressure threshold configuration state, and updating the separation operation state category in real time during the separation process until separation is completed; statistically analyzing the separation outlet pressure during the separation process in real time, and performing anomaly consistency analysis based on the pressure threshold configuration state to obtain pressure deviation characteristics; performing joint source tracing analysis based on the pressure deviation characteristics and the separation operation state category to obtain the pressure anomaly attribution type, thereby generating corresponding early warning instructions and sending them to the rare earth process equipment management center for safety management.
[0010] On the other hand, a pressure-driven rare earth process equipment operation safety management system is provided. This system includes: a separation operation status category module, a pressure threshold configuration module, a pressure deviation analysis module, and a pressure early warning module. The separation operation status category module is used to perform separation of the organic phase and aqueous phase in the rare earth clarifier. During the separation process, it collects separation process parameters and separation stability parameters, analyzes them to obtain the separation completion judgment status and separation stability judgment status, and then performs fusion identification to obtain the separation operation status category. The pressure threshold configuration module is used to execute the corresponding separation adjustment strategy and pressure threshold configuration strategy according to the separation operation status category to obtain the pressure threshold configuration status, and updates the separation operation status category in real time during the separation process until separation is completed. The pressure deviation analysis module is used to statistically analyze the separation outlet pressure in real time during the separation process and perform anomaly consistency analysis based on the pressure threshold configuration status to obtain pressure deviation characteristics. The pressure early warning module is used to perform joint source tracing analysis based on the pressure deviation characteristics and the separation operation status category to obtain the pressure anomaly attribution type, thereby generating corresponding early warning instructions and sending them to the rare earth process equipment management center for safety management.
[0011] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:
[0012] 1. The pressure-driven rare earth process equipment operation safety management method provided by this invention synchronously collects separation process parameters and separation stability parameters in the rare earth separation unit to obtain the separation completion judgment state and separation stability judgment state, respectively. The two are then fused and identified to obtain the separation operation state category. Thus, during the separation execution process, a separation adjustment strategy and pressure threshold configuration strategy matching the separation operation state category are introduced, thereby realizing the distinction between pressure disturbance background and actual pressure anomaly. This effectively solves the problem in the prior art where unreasonable setting of operating parameters in the extraction and separation stages leads to abnormal two-phase separation state forming a pressure disturbance background, resulting in false alarms of pressure anomalies and the submergence and underreporting of actual faults.
[0013] 2. This invention dynamically executes a differentiated pressure threshold configuration strategy based on the separation operation status category. When the separation operation status is stable or there are only controllable disturbances, the pressure threshold range is maintained. When the separation operation status is abnormal or the stability is insufficient, the pressure threshold range is expanded. This makes the pressure monitoring threshold compatible with the current separation operation condition, thereby reducing the probability of pressure alarms triggered by disturbances in normal operation conditions and improving the reliability and adaptability of pressure alarm and interlocking strategies in complex separation backgrounds.
[0014] 3. This invention introduces a hierarchical pressure characteristic analysis mechanism with a first time scale and a second time scale. It identifies transient disturbances and rapid anomalies at a short time scale and pressure drift, repeated boundary crossings, and trend anomalies at a long time scale. It also combines the separation of operating state categories for joint source tracing analysis, thereby achieving accurate determination of the pressure anomaly attribution type and avoiding misjudgment or omission caused by single time scale analysis. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 A flowchart illustrating a pressure-driven rare earth process equipment operation safety management method provided in this application embodiment;
[0017] Figure 2 The overall control flowchart of the pressure-driven rare earth process equipment operation safety management method provided in the embodiments of this application;
[0018] Figure 3 A detailed flowchart of the separation operation state-driven adjustment and pressure anomaly judgment of the pressure-driven rare earth process equipment operation safety management method provided in the embodiments of this application;
[0019] Figure 4 A schematic diagram of the structure of a pressure-driven rare earth process equipment operation safety management system provided in an embodiment of this application;
[0020] Figure 5 A schematic diagram of the two-dimensional index distribution and pressure threshold configuration strategy for the separation operation status category of the pressure-driven rare earth process equipment operation safety management method provided in the embodiments of this application;
[0021] Figure 6 A schematic diagram of the class separability of pressure characteristics in principal component space for the pressure-driven rare earth process equipment operation safety management method provided in the embodiments of this application;
[0022] Figure 7 A schematic diagram showing the comparison curves of true positive rate and false positive rate of the pressure anomaly determination implementation method of the pressure-driven rare earth process equipment operation safety management method provided in the embodiments of this application.
[0023] Figure 8This is a schematic diagram comparing the precision and recall rates of the pressure anomaly determination implementation method of the pressure-driven rare earth process equipment operation safety management method provided in the embodiments of this application. Detailed Implementation
[0024] The technical solution of the present invention will now be described with reference to the accompanying drawings.
[0025] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.
[0026] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.
[0027] like Figure 1 As shown, Figure 1 The flowchart of the pressure-driven rare earth process equipment operation safety management method provided in this application embodiment includes the following steps: performing separation of organic phase and aqueous phase in a rare earth clarifier, and collecting separation process parameters and separation stability parameters during the separation process, analyzing them to obtain the separation completion judgment state and separation stability judgment state, and then performing fusion identification to obtain the separation operation state category; executing the corresponding separation adjustment strategy and pressure threshold configuration strategy according to the separation operation state category to obtain the pressure threshold configuration state, and updating the separation operation state category in real time during the separation process until separation is completed; statistically analyzing the separation outlet pressure during the separation process in real time, and performing anomaly consistency analysis based on the pressure threshold configuration state to obtain pressure deviation characteristics; performing joint source tracing analysis based on the pressure deviation characteristics and the separation operation state category to obtain the pressure anomaly attribution type, thereby generating a corresponding early warning instruction and sending it to the rare earth process equipment management center for safety management.
[0028] In this embodiment, as Figure 2 As shown, Figure 2The overall control flowchart of the pressure-driven rare earth process equipment operation safety management method provided in this application embodiment is as follows: key pressure acquisition nodes in the rare earth extraction and separation process equipment are uniformly configured, and pressure signals in the extraction and separation stages are synchronously acquired; the acquired pressure data is time-aligned to form a continuous pressure change sequence; trend analysis is performed on the pressure change sequence to identify state characteristics; it is determined whether an anomaly analysis condition is entered based on the pressure change characteristics; when the anomaly analysis trigger condition is met, the subsequent fine judgment process is entered; if the anomaly analysis condition is not met, the continuous acquisition and status update processing of pressure data continues.
[0029] In actual rare earth extraction processes, the material being processed is often not a single stable material, but a complex solution system whose composition varies with batch, ore source, or recovery source. This solution simultaneously contains multiple rare earth ions, impurity metal ions, organic extractants, aqueous solvents, and their reaction byproducts. This complexity directly leads to significant dynamic changes in the physical properties during the extraction and separation stages. For example, solution viscosity, interfacial tension, density difference, and mass transfer rate all change with time and operating conditions. This makes the separation behavior of the organic and aqueous phases highly dependent on real-time operating conditions, thus requiring pressure monitoring.
[0030] It should be noted that the data included in the benchmark set in this solution are all historical sample data. The historical sample dataset is a set of separation stability parameters collected and stored when the separation process is determined to be in a stable operating state, under the premise that the equipment structure, process flow, and material system are consistent. The background management system filters the historical sample dataset, removing data under start-up, shutdown, abnormal intervention, and obvious disturbance conditions, and retaining only stable operating samples with clear separation interfaces, controlled outlet pressure fluctuations, and continuous liquid level changes. Based on this, statistical processing is performed on each separation stability parameter in the historical sample dataset to obtain the corresponding separation stability benchmark value. For example, the separation outlet pressure fluctuation intensity benchmark value in the separation stability benchmark set is the statistical representative value of the separation outlet pressure fluctuation intensity parameter in the historical stable samples; the clarifier liquid level height change trend coefficient benchmark value is the statistical representative value of the liquid level height change trend coefficient in the historical stable samples; and the disturbance time percentage benchmark value is the statistical representative value of the percentage of time the separation process is in an unstable state in the historical stable samples. The above benchmark values together constitute the separation stability benchmark set, which is used to compare and analyze the separation stability parameters in the current separation process to achieve a quantitative judgment on the degree of stability of the separation process.
[0031] Furthermore, the separation completion determination status is determined as follows: During the separation process, separation process parameters within a preset time period are acquired. These parameters include the separation stabilization time, the clarifier liquid level variance, and the separation outlet pressure intensity. A preset separation process benchmark set is acquired and proportionally processed with the separation process parameters to obtain the proportional processing values for each separation process. A separation process weight set is introduced, and the proportional processing values for each separation process are coupled based on the separation process weight set to obtain a separation quality value characterizing the degree of separation completion between the organic phase and the aqueous phase. The separation process benchmark set includes a separation stabilization time benchmark value, a clarifier liquid level variance benchmark value, and a separation outlet pressure intensity benchmark value. A preset separation quality threshold is acquired and compared with the separation quality value to determine the separation completion determination status. If the separation quality value is above the separation quality threshold, the separation completion determination status is "separation completed"; otherwise, the separation completion determination status is "separation not completed".
[0032] In this embodiment, it should be noted that the threshold values of the parameters are "critical identification values" used to characterize the boundary of qualitative changes in the process state. For example, the separation quality threshold refers to the critical boundary value used to determine whether the separation process has reached the "complete state" during the separation of the organic phase and the aqueous phase in the rare earth clarifier, serving as the critical point for identifying the state transition of the separation process. Other threshold values have the same meaning as the separation quality threshold, all representing critical identification values.
[0033] like Figure 3 As shown, Figure 3 This application provides a detailed flowchart for the separation operation state-driven adjustment and pressure anomaly judgment of a pressure-driven rare earth process equipment operation safety management method. After entering the anomaly analysis condition, the current pressure change characteristics are correlated with the corresponding operating condition stage to distinguish the pressure background of the extraction stage and the separation stage. Based on the pressure characteristics of different operating condition stages, the pressure disturbance amplitude, duration characteristics, and change rate are comprehensively judged. It is determined whether the current pressure anomaly is a background disturbance caused by changes in operating condition parameters or a real operating fault. When it is determined to be a background disturbance, the abnormal state is suppressed to avoid triggering false alarms. When it is determined to be a real fault, the corresponding anomaly judgment result is output to trigger subsequent safety management and alarm handling processes.
[0034] The separation stabilization time refers to the duration during which the organic and aqueous phases maintain a stable stratified state within the clarifier. During the separation process, the clarifier level signal and the separation outlet pressure signal are continuously collected. When both the level fluctuation amplitude and pressure fluctuation amplitude simultaneously meet the preset stability criteria (including the range of level fluctuation amplitude and pressure fluctuation amplitude), it is marked as entering a stable state. The duration of this stable state is then recorded to obtain the separation stabilization time. The clarifier level height variance refers to the variance of each sampled value of the clarifier level height within a preset time window. A clarifier level height sequence within the preset time window is collected using a level sensor, and the average level value of this sequence is calculated. Based on the deviation between each sampled level value and the average level value, the level height variance is calculated and used as the clarifier level height variance parameter. The separation outlet pressure intensity is obtained by collecting a pressure data sequence within a preset time window using a pressure sensor installed at the separation outlet pipeline. The pressure data sequence is statistically processed to obtain the average pressure value, which is then used as the separation outlet pressure intensity.
[0035] During the separation process, the variance of the clarifier liquid level directly affects the calculated separation settling time: when the liquid level variance remains within a small range, the system is more likely to meet the stability criteria, thus extending the stable interval and increasing the separation settling time; conversely, an increase in the liquid level variance will frequently interrupt the stable interval, leading to a shorter separation settling time. Simultaneously, the separation outlet pressure intensity and the liquid level variance are coupled through changes in material flow resistance. Increased liquid level fluctuations cause uneven flow, increasing the dispersion of pressure data and consequently affecting the pressure intensity statistics.
[0036] The separation quality value is calculated as follows: Divide the separation stabilization time by the baseline value to obtain the stabilization time processed value; divide the clarifier level height variance by the baseline value to obtain the clarifier level height variance processed value; calculate the difference between the separation outlet pressure intensity and the baseline value to obtain the separation outlet pressure intensity difference value; place this difference value at the baseline value to obtain the separation outlet pressure intensity processed value; and then multiply the separation stabilization time processed value, the clarifier level height variance processed value, and the separation outlet pressure intensity processed value into their respective separation process baseline sets (including separation stabilization time weight, clarifier level height variance weight, and separation outlet pressure intensity weight), and finally add them together to obtain the separation quality value. The separation outlet pressure intensity weight is negative, and the sum of all weight values in the separation stabilization weight set is 1.
[0037] In the historical separation batches, separation batches that have been confirmed to be completed and operating normally are selected as the sample set. The correlation strength between the separation stabilization time and the separation completion judgment result for each sample is statistically analyzed. Based on the influence of the separation stabilization time on the separation completion judgment status, the relative contribution ratio of the separation stabilization time in the sample set is calculated, and the relative contribution ratio is normalized to obtain the separation stabilization time weight. The weights of the clarifier liquid level height variance and the separation outlet pressure intensity are obtained in the same way as the weight of the separation stabilization time, which can be obtained by analyzing their contribution ratio in the historical samples.
[0038] Furthermore, the separation stability determination method is as follows: During the separation process, separation stability parameters within a preset time period are obtained. These parameters include the separation outlet pressure fluctuation intensity, the clarifier liquid level height change trend coefficient, and the disturbance time percentage. A preset separation stability benchmark set is obtained and compared with the separation stability parameters to obtain various separation stability processing values. A corresponding separation stability weight set is introduced, and the separation stability weight set is coupled with the separation stability parameters to obtain a separation stability determination value used to characterize the stability of the separation process. The separation stability benchmark set includes the separation outlet pressure fluctuation intensity benchmark value, the clarifier liquid level height change trend coefficient benchmark value, and the disturbance time percentage benchmark value. A preset separation stability determination threshold is obtained and compared with the separation stability determination value to obtain the separation stability determination state. If the separation stability determination value is above the separation stability determination threshold, the separation stability determination state is stable; otherwise, the separation stability determination state is unstable.
[0039] In this embodiment, the pressure fluctuation intensity at the separation outlet refers to the maximum difference between the pressure at the separation outlet and its mean value within a preset time period. This can be achieved by obtaining the pressure sequence at the separation outlet within the preset time period using a fixed sampling period, calculating the mean value of the pressure sequence, and then obtaining the deviation value based on the difference between the pressure sequence and the mean value. This deviation value is the pressure fluctuation intensity at the separation outlet. The clarifier liquid level height change trend coefficient refers to the overall trend of the clarifier liquid level height change over time within the preset time period, reflecting whether the liquid-liquid interface is in a state of continuous rise, continuous fall, or stabilization. This can be achieved by collecting the clarifier liquid level height within the preset time period to form a liquid level height time series. This time series is then fitted with time as the independent variable and liquid level height as the dependent variable, using a linear trend fitting process. The fitting model adopts a linear function form, i.e., a linear fitting relationship between the liquid level height and time. The coefficient of the linear term in the fitting result serves as the liquid level height change trend coefficient. Therefore, this parameter has positive and negative values; a positive value indicates an increase in liquid level height, and a negative value indicates a decrease in liquid level height. The disturbance time percentage refers to the proportion of time during which the separation process is in an unstable operating state (i.e., at least one key parameter exceeds the corresponding stable range, including pressure and liquid level) within a preset time period. This can be obtained by statistically analyzing pressure and liquid level data through the backend management system, summing the time spent in the out-of-limit state, and then dividing that sum by the total time period.
[0040] During the pressure-driven rare earth separation process, the increase in the intensity of pressure fluctuation at the separation outlet will directly cause changes in the flow state inside the clarifier, resulting in a continuous shift in the trend coefficient of the liquid level height change in the clarifier. When the liquid level trend deviates from the stable range for a long time, it will cause the system to enter the unsteady operating range, thereby significantly increasing the proportion of disturbance time. Conversely, the increase in the proportion of disturbance time means that abnormal operating conditions continue to exist, which will further amplify the cumulative effect of pressure fluctuation and liquid level trend shift.
[0041] The separation stability determination value is obtained by dividing the separation outlet pressure fluctuation intensity and disturbance time ratio by the corresponding separation outlet pressure fluctuation intensity benchmark value and disturbance time ratio benchmark value, respectively, to obtain the disturbance fluctuation processing value. The absolute value of the clarifier liquid level height change trend coefficient minus the clarifier liquid level height change trend coefficient is obtained. The absolute difference of liquid level height is obtained by dividing the absolute difference of liquid level height by the clarifier liquid level height change trend coefficient benchmark value. The liquid level height processing value is obtained by multiplying each disturbance fluctuation processing value and the liquid level height processing value by the separation stability weight set and then adding them together to obtain the separation stability determination value. The separation stability weight set includes the separation outlet pressure fluctuation intensity weight, the clarifier liquid level height change trend coefficient weight, and the disturbance time ratio weight. All weights in the separation stability weight set are negative and the sum of them is -1.
[0042] The weights for the separation outlet pressure fluctuation intensity, the clarifier liquid level height change trend coefficient, and the disturbance time proportion can be obtained using a unified historical data inversion calibration method. The specific process is as follows: In a rare earth separation process dataset with known historical operating results, multiple complete separation cycles are selected. For each cycle, the separation outlet pressure fluctuation intensity, the clarifier liquid level height change trend coefficient, and the disturbance time proportion are calculated, and the separation stability results obtained through manual judgment or long-term operation verification for that cycle are simultaneously labeled. Based on this, with "separation stability results" as the target constraint, the processed values of the above three parameters are subjected to inverse correlation fitting to obtain the negative influence coefficient of each parameter on stability. This negative influence coefficient is then normalized so that all three values are negative and the sum of their absolute values is 1, thus forming a separation stability weight set. The weights for the separation outlet pressure fluctuation intensity, the clarifier liquid level height change trend coefficient, and the disturbance time proportion are obtained in the same way, only requiring their respective historical parameter sequences to participate in the fitting calculation.
[0043] Furthermore, the separation operation status category is obtained by analyzing the separation completion determination status and the separation stability determination status. If the separation completion determination status is "separation completed" and the separation stability determination status is "separation stable", then the obtained separation operation status category is the first status category; if the separation completion determination status is "separation completed" and the separation stability determination status is "separation unstable", then the obtained separation operation status category is the second status category; if the separation completion determination status is "separation incomplete" and the separation stability determination status is "separation stable", then the obtained separation operation status category is the third status category; if the separation completion determination status is "separation incomplete" and the separation stability determination status is "separation unstable", then the obtained separation operation status category is the fourth status category.
[0044] In this embodiment, the separation operation status is divided into four categories based on the separation completion determination status and the separation stability determination status. The reason for this division is that, in the rare earth extraction and separation process, whether the separation is complete only reflects whether the phase interface evolution and material destination have achieved the process target, while whether the separation process is stable is directly related to pressure fluctuations, liquid level changes, and the persistence of disturbances. The two are not equivalent in their formation mechanism, and using either determination result alone may mask the risk or process information of another dimension. By combining the classification of "complete / incomplete" and "stable / unstable", the actual operation status can be subdivided into four clearly defined state sets, so that each state corresponds to a unique and definite combination of operating conditions. Its advantages are as follows: on the one hand, it can avoid mixing the situation of "separation completed but with significant pressure disturbance background" with the situation of "separation process completed smoothly", thereby improving the reliability of the separation operation status judgment results; on the other hand, it can provide clear status input for subsequent pressure-driven safety management logic, so that the judgment basis for pressure anomaly judgment and status identification is consistent, preventing false alarms or missed judgments caused by ambiguous status definitions, thereby enhancing the stability and interpretability of separation process status identification in the whole scheme.
[0045] Furthermore, based on the separation operation state category, corresponding separation adjustment strategies and pressure threshold configuration strategies are executed. Specifically: if the separation operation state category is the first or third state category, no separation adjustment strategy is executed, and the pressure threshold configuration strategy is to maintain the pressure threshold range; if the separation operation state category is the second state category, the first separation adjustment strategy is executed, and the pressure threshold configuration strategy is to expand the pressure threshold range; if the separation operation state category is the fourth state category, the second separation adjustment strategy is executed, and the pressure threshold configuration strategy is to expand the pressure threshold range. Based on the separation stability judgment value and the separation stability judgment threshold, deviation normalization calculation is performed under threshold constraints to obtain the difference degree. The first coefficient of degree of difference is mapped to obtain the first coefficient of separation regulation; the second coefficient of degree of difference is obtained by normalizing the deviation under the threshold constraint based on the separation quality value and the separation quality threshold, and the second coefficient of separation regulation is mapped to obtain the second coefficient of separation regulation. The first coefficient of separation regulation and the second coefficient of separation regulation are combined to obtain the separation regulation coefficient; if the first separation regulation strategy is executed, the separation outlet flow rate setpoint is reduced based on the separation regulation coefficient, and the corresponding circulating pump speed and shear intensity are reduced accordingly; if the second separation regulation strategy is executed, the circulating pump speed is reduced based on the separation regulation coefficient, and the corresponding shear intensity and separation outlet flow rate setpoint are reduced accordingly.
[0046] In this embodiment, if the first separation regulation strategy is executed, the separation outlet flow rate setpoint is reduced based on the separation regulation coefficient, and corresponding adjustments are made to reduce the circulating pump speed and shear strength. Specifically, the separation outlet flow rate setpoint is first reduced based on the separation regulation coefficient. The current separation outlet flow rate setpoint is multiplied by the separation regulation coefficient to obtain the separation regulation coefficient adjustment value. This adjustment value is compared with a preset separation regulation coefficient adjustment threshold. If the adjustment value is above the threshold, the separation regulation coefficient is reduced based on the threshold, and the threshold is subtracted from the adjustment value to obtain... Upon reaching the overflow value of the separation adjustment coefficient, a circulation pump speed adjustment value is obtained based on the overflow value of the separation adjustment coefficient. The circulation pump speed is then reduced based on the circulation pump speed adjustment value. After the adjustment is completed, the improvement value of the separation operation status category (specifically, the improvement value of the separation stability judgment value) is updated again. If the improvement value of the separation operation status category is above the corresponding preset improvement threshold, the first separation adjustment strategy is completed, and shear strength adjustment is not performed. If the improvement value of the separation operation status category is less than the corresponding preset improvement threshold, the shear strength is gradually reduced according to the preset shear strength adjustment ratio until the improvement value of the separation operation status category is above the corresponding preset improvement threshold, thus completing the first separation adjustment strategy.
[0047] If the second separation regulation strategy is implemented, the circulating pump speed is reduced based on the separation regulation coefficient, and the corresponding shear strength and separation outlet flow rate setpoints are adjusted accordingly. Specifically, the circulating pump speed is first reduced based on the separation regulation coefficient. The current circulating pump speed is multiplied by the separation regulation coefficient to obtain the circulating pump speed adjustment value. This value is then compared with a preset circulating pump speed adjustment threshold. If the adjustment value is above the threshold, the circulating pump speed is reduced based on the threshold, and the threshold is subtracted from the adjusted value to obtain the overflow value. Based on this overflow value... The shear strength adjustment value is obtained, and the shear strength is reduced based on the shear strength adjustment value. After the adjustment is completed, the improvement value of the separation operation status category (including the improvement value of the separation quality value and the improvement value of the separation stability judgment value) is updated again. If the improvement value of the separation operation status category is above the corresponding preset improvement threshold, the second separation adjustment strategy is completed and the shear strength adjustment is not performed. If any improvement value of the separation operation status category is less than the corresponding preset improvement threshold, the separation outlet flow rate setting value is gradually reduced according to the preset separation outlet flow rate adjustment ratio until the improvement value of the separation operation status category is above the corresponding preset improvement threshold, and the first separation adjustment strategy is completed.
[0048] The circulating pump speed adjustment value is obtained by matching the overflow value of the separation adjustment coefficient. The specific method is as follows: compare the current overflow value of the separation adjustment coefficient with the corresponding overflow interval of each separation adjustment coefficient. If the current overflow value of the separation adjustment coefficient is within a certain preset overflow interval of the separation adjustment coefficient, then obtain the circulating pump speed adjustment reference value corresponding to that interval as the circulating pump speed adjustment value.
[0049] The shear strength adjustment value is obtained by matching the overflow value of the circulating pump speed. The specific method is as follows: the current overflow value of the circulating pump speed is compared with the corresponding overflow range of each circulating pump speed. If the current overflow value of the circulating pump speed is within a certain preset overflow range of the circulating pump speed, the shear strength adjustment reference value corresponding to that range is obtained as the shear strength adjustment value.
[0050] The deviation normalization calculation under threshold constraint is performed based on the separation stability judgment value and the separation stability judgment threshold to obtain the first coefficient of difference. The specific method is as follows: compare the separation stability judgment value with the separation stability judgment threshold. If the separation stability judgment value is above the separation stability judgment threshold, the first coefficient of difference is zero. Otherwise, subtract the separation stability judgment value from the separation stability judgment threshold to obtain the separation stability judgment difference. Then divide the separation stability judgment difference by the separation stability judgment threshold to obtain the first coefficient of difference.
[0051] The deviation normalization calculation under threshold constraint based on the separation quality value and the separation quality threshold is used to obtain the second coefficient of difference. The specific method is as follows: compare the separation quality value with the separation quality threshold. If the separation quality value is above the separation quality threshold, the second coefficient of difference is zero. Otherwise, subtract the separation quality value from the separation quality threshold to obtain the separation quality judgment difference. Then divide the separation quality judgment difference by the separation quality threshold to obtain the second coefficient of difference.
[0052] The separation adjustment first coefficient is obtained based on the mapping of the first coefficient of difference degree. The specific method is as follows: obtain the preset interval of each first coefficient of difference degree and match it with the first coefficient of difference degree. If the first coefficient of difference degree is within a certain preset interval of the first coefficient of difference degree, then obtain the reference value of the separation adjustment first coefficient corresponding to that interval as the separation adjustment first coefficient.
[0053] The separation adjustment second coefficient is obtained based on the mapping of the second coefficient of difference degree. Specifically, the method involves: obtaining preset intervals for each second coefficient of difference degree and matching them with the second coefficient of difference degree. If the first coefficient of difference degree falls within a preset interval of the second coefficient of difference degree, the reference value of the separation adjustment second coefficient corresponding to that interval is obtained as the separation adjustment second coefficient. It should be noted that during the mapping and matching process, the intervals and their corresponding reference values can be obtained through historical data analysis. Specifically, this is based on pre-constructing and storing various mapping sets in the computer's backend database, such as the separation adjustment mapping set. The data in each mapping set originates from historical sample data. Taking the separation adjustment mapping set as an example, this historical separation operation sample data consists of a set of samples that, under different degrees of separation quality deviation, execute different separation adjustment amplitudes and record the corresponding separation effects. Based on the correspondence between the second coefficient of difference degree and the separation adjustment response results in the historical samples, the backend management system divides the second coefficient of difference degree into intervals and configures a matching reference value for the separation adjustment second coefficient for each interval, thus forming a one-to-one mapping relationship between the intervals of the second coefficient of difference degree and the separation adjustment second coefficient.
[0054] The pressure threshold is not a fixed safety boundary, but rather a criterion used to distinguish between "acceptable process disturbances" and "abnormal risks requiring intervention." Its rationality depends on the current separation operation status category. When the separation operation status category is the first or third status category, at least one of the separation completion judgment status and the separation stability judgment status is a positive result, indicating that the current pressure fluctuation mainly originates from normal operating condition changes or process behavior that is not yet completed but is in a stable evolution stage. In this case, maintaining the original pressure threshold range helps to maintain the consistency and continuity of alarm criteria and avoids weakening the traceability of pressure anomaly judgment due to frequent threshold adjustments. Conversely, when the separation operation status category is the second or fourth status category, separation stability is insufficient, and the pressure signal is superimposed with the background disturbance caused by the two-phase separation anomaly. If the original pressure threshold range is still used, the background disturbance is easily misjudged as a safety risk, triggering false alarms or false interlocks. Therefore, by expanding the pressure threshold range and simultaneously implementing targeted separation adjustment strategies, the pressure threshold is matched with the disturbance level of the current separation status, thereby maintaining the effectiveness and discriminativeness of pressure judgment during the stage before the disturbance is eliminated.
[0055] The first and second separation control strategies involve the same type of control parameters, including the separation outlet flow rate setpoint, circulating pump speed, and shear intensity. However, they employ different control sequences rather than identical execution paths. This is because the dominant sources of pressure disturbances differ under different separation operating conditions: When executing the first separation control strategy, separation is complete but stability is insufficient, and pressure anomalies are more often caused by transient suction or flow traction effects on the outlet side. Therefore, prioritizing the reduction of the separation outlet flow rate setpoint weakens the overall system differential pressure drive, followed by gradually reducing the circulating pump speed and shear intensity, helps suppress disturbance amplification without disrupting the existing separation results. Conversely, when executing the second separation control strategy, separation is incomplete and unstable, and pressure anomalies are mainly caused by emulsification and phase interface instability resulting from internal circulation and high shear. In this case, prioritizing the reduction of the circulating pump speed and shear intensity weakens the disturbance source first, and then reconstructing the separation conditions by adjusting the separation outlet flow rate. By employing control strategies with different sequences, each type of control action is matched to the disturbance mechanism in the corresponding state, thereby avoiding ineffective control or reverse amplification of pressure fluctuations and improving the synergy between separation control and pressure stability.
[0056] Furthermore, the pressure threshold configuration state is obtained as follows: If the pressure threshold configuration strategy is to expand the pressure threshold range, a first pressure regulation coefficient is obtained based on the first coefficient of difference, and a second pressure regulation coefficient is obtained based on the second coefficient of difference. The first and second pressure regulation coefficients are analyzed together to obtain the pressure regulation coefficient (specifically, the first pressure regulation coefficient is added to the second pressure regulation coefficient to obtain the pressure regulation coefficient). The preset pressure threshold range is linearly expanded based on the pressure regulation coefficient to obtain the pressure threshold expansion range, thus the pressure threshold configuration state is to expand the pressure threshold range; if the pressure threshold configuration strategy is to maintain the pressure threshold range, the pressure threshold configuration state is to maintain the pressure threshold range.
[0057] In this embodiment, linear amplification is performed. Specifically, the maximum value of the pressure threshold interval is multiplied by the pressure adjustment coefficient and then added together to obtain the maximum value of the pressure threshold interval after linear amplification. The minimum value of the pressure threshold interval is obtained by subtracting the product of the minimum value of the pressure threshold interval and the pressure adjustment coefficient from the minimum value of the pressure threshold interval.
[0058] The pressure regulation first coefficient is obtained based on the mapping of the first coefficient of difference degree. The specific method is as follows: obtain the preset intervals of each coefficient of difference degree and the reference value of the first coefficient of pressure regulation corresponding to each interval of difference degree, and compare them with the first coefficient of difference degree. If the first coefficient of difference degree is within a certain preset interval of difference degree, then obtain the reference value of the first coefficient of pressure regulation corresponding to that interval as the first coefficient of pressure regulation.
[0059] The pressure regulation second coefficient is obtained based on the mapping of the second coefficient of difference degree. The specific method is as follows: obtain the preset intervals of each coefficient of difference degree and the reference value of the pressure regulation second coefficient corresponding to each interval of the coefficient of difference degree, and compare them with the second coefficient of difference degree. If the second coefficient of difference degree is within a preset interval of the coefficient of difference degree, then obtain the reference value of the pressure regulation second coefficient corresponding to that interval as the pressure regulation second coefficient.
[0060] The fundamental reason for setting a pressure threshold configuration state and allowing dynamic inconsistencies in the pressure threshold range lies in the fact that different separation operation states result in fundamentally different disturbance attributes and safety indication meanings contained in the pressure signals. When the separation stability judgment state is "separation unstable," two-phase separation anomalies will create a continuous or superimposed pressure disturbance background. Such pressure fluctuations belong to process disturbances within the adjustable range of the separation process. If a fixed and tightened pressure threshold range is still used, controllable disturbances are easily misjudged as pressure anomalies, thereby reducing the reliability of pressure anomaly judgment and triggering unnecessary warnings or linkages. Therefore, by introducing a first coefficient and a second coefficient of difference, the deviation of the separation stability judgment value and the separation quality value from their respective thresholds is comprehensively characterized, thus obtaining a pressure adjustment coefficient. This linearly expands the preset pressure threshold range, matching the pressure threshold configuration state with the disturbance intensity under the current separation operation state category. Conversely, when the pressure threshold configuration strategy is to maintain the pressure threshold range, it indicates that the separation operation state is in a stable or controllable evolution stage, and the pressure fluctuations have a clear anomaly indication meaning. In this case, keeping the original pressure threshold range unchanged is beneficial for maintaining the consistency and sensitivity of pressure anomaly judgment, thereby achieving coordination and unity between pressure monitoring and separation regulation.
[0061] Furthermore, the pressure deviation characteristics are obtained. The specific method is as follows: Real-time statistical analysis of the separation outlet pressure during the separation execution process. If the separation operation status category is the first or third status category, the separation outlet pressure is compared with the pressure threshold interval. If the separation outlet pressure is within the pressure threshold, the pressure deviation characteristic is no deviation. If the separation outlet pressure is less than the minimum value of the pressure threshold interval, the pressure deviation characteristic is downward deviation. If the separation outlet pressure is greater than the maximum value of the pressure threshold interval, the pressure deviation characteristic is upward deviation. If the separation operation status category is the second or fourth status category, the separation outlet pressure is compared with the pressure threshold expansion interval. If the separation outlet pressure is within the pressure threshold expansion interval, the pressure deviation characteristic is no deviation. If the separation outlet pressure is less than the minimum value of the pressure threshold expansion interval, the pressure deviation characteristic is downward deviation. If the separation outlet pressure is greater than the maximum value of the pressure threshold expansion interval, the pressure deviation characteristic is upward deviation.
[0062] Furthermore, the pressure anomaly attribution type is obtained. Specifically, time series analysis is performed based on the pressure deviation characteristics of the separated operating state category at each preset time period. If the pressure deviation characteristic of the previous preset time period is downward or upward, then the abnormal state category of the previous preset time period is abnormal. This is then matched with the separated operating state category to obtain the pressure anomaly attribution type for that category. If the pressure deviation characteristic of the previous preset time period is no deviation, then the separation outlet pressure value of the separated operating state category is sequentially analyzed at each time scale to obtain the abnormal state of each separated operating state category at each time scale. Where a certain sub-category... When the abnormal state category of the previous time scale of the operating state category is normal, the abnormal state judgment of the next time scale of the separate operating state category is executed. When the abnormal state category of the previous time scale of the separate operating state category is abnormal, the pressure abnormality attribution type of the separate operating state category is matched and the abnormal state judgment of the next time scale is not executed, thus obtaining the pressure abnormality attribution type of each separate operating state category. When the abnormal state under each time scale is normal, the pressure abnormality attribution type is no abnormality and a false alarm warning is issued. The time scale includes the first time scale (short time scale) and the second time scale (long time scale).
[0063] In this embodiment, several pressure anomaly attribution types are stored in the computer's backend database. When different judgment conditions correspond to anomalies, different pressure anomaly attribution type warnings are issued. For example, when the separation operation status is classified as the third status category (separation incomplete, separation stable), the separation outlet pressure shows a slow upward trend in the first time scale, but without drastic fluctuations. The pressure deviation characteristic is an upward pressure deviation, and the trend drift coefficient exceeds the threshold in the second time scale. The pressure anomaly attribution type is determined to be a process-driven pressure accumulation anomaly. The warning message for this pressure anomaly attribution type is: The current pressure anomaly originates from material accumulation and increased load under the condition of incomplete separation, which is a process-stage pressure increase and not an equipment failure.
[0064] Furthermore, the abnormal states of each separation operation status category at each time scale are obtained. Specifically, during the separation execution process, pressure characteristic statistical windows corresponding to the first and second time scales are constructed for each separation operation status category. Within the first time scale, the first pressure characteristic parameters of the separation outlet pressure are extracted. These parameters include the pressure mean deviation rate, the cumulative amplitude of pressure fluctuations, and the proportion of sustained pressure deviation. A joint evaluation is performed based on these first pressure characteristic parameters. If any one of the first pressure characteristic parameters exceeds the corresponding abnormality judgment threshold, the abnormal state of the separation operation status category at the first time scale is determined to be abnormal; otherwise, it is determined to be normal. Within the second time scale, the second pressure characteristic parameters of the separation outlet pressure are extracted. These parameters include the trend drift coefficient, the threshold overshoot frequency density, and the consistency of deviation direction. A joint evaluation is performed based on these second pressure characteristic parameters. If any one of the second pressure characteristic parameters exceeds the corresponding abnormality judgment threshold, the abnormal state of the separation operation status category at the second time scale is determined to be abnormal; otherwise, it is determined to be normal.
[0065] In this embodiment, during the separation process, a first-timescale pressure characteristic statistical window covering a short-term continuous operating interval is constructed for the current separation operation state category. This statistical window is used to reflect the transient pressure behavior during the separation process. Within this first timescale, based on continuously collected separation outlet pressure data, the pressure mean offset rate, pressure fluctuation cumulative amplitude, and pressure deviation persistence ratio are calculated sequentially. The above-mentioned first pressure characteristic parameters are compared and analyzed with their corresponding anomaly judgment thresholds. When any first pressure characteristic parameter exceeds the corresponding anomaly judgment threshold, the abnormal state of the separation operation state category under the first timescale is determined to be abnormal; when none of the first pressure characteristic parameters exceed the corresponding anomaly judgment threshold, the abnormal state of the separation operation state category under the first timescale is determined to be normal, thereby realizing the identification of short-term pressure mutations, transient instability, and rapid disturbances.
[0066] During the separation process, for the same separation operation state category, a second time-scale pressure characteristic statistical window covering a longer continuous operation phase is constructed. This statistical window is used to reflect the long-term evolution characteristics of the separation outlet pressure. Within this second time scale, based on continuously collected and accumulated separation outlet pressure data, the trend drift coefficient, threshold overshoot frequency density, and deviation direction consistency are extracted sequentially. Each second pressure characteristic parameter is compared with its corresponding anomaly judgment threshold. When any second pressure characteristic parameter exceeds the corresponding anomaly judgment threshold, the abnormal state of the separation operation state category under the second time scale is determined to be abnormal; when all second pressure characteristic parameters are within the anomaly judgment threshold range, the abnormal state of the separation operation state category under the second time scale is determined to be normal, thereby achieving the identification of long-term pressure drift, continuous overshoot, and structural anomalies.
[0067] The mean deviation rate can be obtained by calculating the arithmetic mean of continuously collected outlet pressure values within the first time-scale statistical window, yielding the window pressure mean. The difference between this window pressure mean and the midpoint of the upper and lower limits of the pressure threshold interval is then processed, and this midpoint is used as the normalization benchmark to obtain the mean deviation rate. The cumulative fluctuation amplitude refers to the cumulative result of the instantaneous deviations of the outlet pressure around its window mean within the first time-scale pressure characteristic statistical window. It is used to characterize the overall intensity of pressure fluctuations over a short period. It can be obtained by calculating the absolute difference between the outlet pressure value at each moment within the first time-scale statistical window and the window pressure mean; summing the absolute differences across all moments within the window yields the cumulative fluctuation amplitude. The pressure deviation persistence ratio refers to the proportion of the duration during which the outlet pressure is outside the pressure threshold range within the first time-scale pressure characteristic statistical window, out of the total duration of that statistical window. It reflects the persistence of abnormal pressure states within a short period. This can be obtained by calculating the cumulative duration for which the outlet pressure is above the maximum value or below the minimum value of the pressure threshold range within the first time-scale statistical window, and then dividing this cumulative duration by the total duration of the first time-scale statistical window. The trend drift coefficient refers to the overall trend strength of the outlet pressure change over time within the second time-scale pressure characteristic statistical window. It reflects whether there is a long-term drift behavior of continuously increasing or decreasing pressure. This can be achieved by forming a pressure time series of the outlet pressure over time within the second time-scale statistical window, performing a linear fit on the pressure time series, extracting the slope of the fitted line, and using this slope as the trend drift coefficient. The larger the absolute value, the more obvious the long-term drift trend. Threshold exceedance frequency density refers to the frequency of occurrences of the separating outlet pressure exceeding the upper or lower limits of the pressure threshold interval within the second time-scale pressure characteristic statistical window, relative to the occurrence density per unit time. It is used to characterize the frequency of abnormal pressure events over a long time scale. It can be obtained by counting the number of events in the second time-scale statistical window where the separating outlet pressure jumps from within the threshold interval to outside the threshold interval, and then dividing this number by the total duration of the second time-scale statistical window. Deviation direction consistency refers to the consistency of the deviation direction over time when the separating outlet pressure exceeds the threshold within the second time-scale pressure characteristic statistical window. It is used to determine whether the pressure anomaly exhibits a unidirectional and continuous characteristic. It can be obtained by counting the number of times the separating outlet pressure deviates upward from the maximum value of the pressure threshold interval and the number of times it deviates downward from the minimum value of the pressure threshold interval within the second time-scale statistical window. The ratio of the higher-proportion deviation direction occurrence to the total number of deviations is used as the deviation direction consistency index. The closer the value is to 1, the more consistent the deviation direction.
[0068] like Figure 4 As shown, Figure 4 This is a schematic diagram of the structure of a pressure-driven rare earth process equipment operation safety management system provided in this application embodiment. The pressure-driven rare earth process equipment operation safety management system provided in this application embodiment includes: a separation operation status category module, a pressure threshold configuration module, a pressure deviation analysis module, and a pressure early warning module. The separation operation status category module is used to perform separation of the organic phase and aqueous phase in the rare earth clarifier, and collect separation process parameters and separation stability parameters during the separation process. These parameters are analyzed to obtain the separation completion judgment status and the separation stability judgment status, and then fused to identify the separation operation status category. The pressure threshold configuration module is used to execute the corresponding separation adjustment strategy and pressure threshold configuration strategy according to the separation operation status category to obtain the pressure threshold configuration status, and updates the separation operation status category in real time during the separation process until separation is completed. The pressure deviation analysis module is used to statistically analyze the separation outlet pressure during the separation process in real time, and perform anomaly consistency analysis based on the pressure threshold configuration status to obtain pressure deviation characteristics. The pressure early warning module is used to perform joint source tracing analysis based on the pressure deviation characteristics and the separation operation status category to obtain the pressure anomaly attribution type, thereby generating a corresponding early warning instruction and sending it to the rare earth process equipment management center for safety management.
[0069] like Figure 5 As shown, Figure 5This diagram illustrates the two-dimensional index distribution and pressure threshold configuration strategy for the separation operation status categories in the pressure-driven rare earth process equipment operation safety management method provided in this application embodiment. It demonstrates the process and result distribution during separation execution, where the system classifies operating conditions into "separation operation status categories" based on the fusion of "separation completion judgment status" and "separation stability judgment status." The horizontal axis represents the "separation quality value," reflecting the "degree of completion of the separation quality value relative to the separation quality threshold"; the vertical axis represents the "separation stability judgment value," reflecting the "stability of the separation stability judgment value relative to the separation stability judgment threshold." The diagram divides the sample points into four regions using two threshold dividing lines. Each region corresponds to a combination of the "separation completion judgment state" and the "separation stability judgment state" in the scheme, thus forming four "separation operation state categories". When the separation completion judgment state is "separation completed" and the separation stability judgment state is "separation stable", the separation operation state category corresponds to the first state category, and the pressure threshold configuration strategy is to maintain the pressure threshold range. When the separation completion judgment state is "separation incomplete" and the separation stability judgment state is "separation stable", the separation operation state category corresponds to the third state category, and the pressure threshold configuration strategy is also to maintain the pressure threshold range. When the separation completion judgment state is "separation completed" and the separation stability judgment state is "separation unstable", the separation operation state category corresponds to the second state category, and the pressure threshold configuration strategy is to expand the pressure threshold range and execute the first separation adjustment strategy. When the separation completion judgment state is "separation incomplete" and the separation stability judgment state is "separation unstable", the separation operation state category corresponds to the fourth state category, and the pressure threshold configuration strategy is to expand the pressure threshold range and execute the second separation adjustment strategy.
[0070] like Figure 6 As shown, Figure 6This diagram illustrates the class separability of pressure characteristics in principal component space for the pressure-driven rare earth process equipment operation safety management method provided in this application embodiment. When constructing a pressure characteristic statistical window based on a "first time scale" and a "second time scale" and extracting pressure characteristic parameters, the resulting pressure characteristic set can distinguish between "background disturbances" and "actual operational faults." The horizontal axis in the diagram is "PC1," and the vertical axis is "PC2," representing the first and second principal components obtained after principal component analysis of the pressure characteristic set, respectively, used to visualize the multidimensional pressure characteristics in a two-dimensional plane. The three types of scatter points in the diagram are labeled "normal," "disturbance background," and "actual fault," respectively. "Disturbance background" corresponds to the "background disturbance caused by changes in operating parameters" identified after comprehensive judgment of "pressure disturbance amplitude, duration characteristics, and rate of change" under abnormal analysis conditions in the scheme. Its processing logic is to suppress abnormal states to avoid triggering false alarms. "Actual fault" corresponds to the situation determined as "actual operational fault" in the scheme. Its processing logic is to output the abnormal judgment result to trigger subsequent safety management and alarm handling processes.
[0071] like Figure 7 As shown, Figure 7This diagram illustrates the comparison between the true positive rate and false positive rate of the pressure anomaly determination implementation method for the pressure-driven rare earth process equipment operation safety management method provided in this application embodiment. The horizontal axis, "FPR," represents the false positive rate, indicating the proportion of samples with no actual anomalies or belonging to background disturbances that are incorrectly identified as anomalies by the system and trigger warning commands. The vertical axis, "TPR," represents the true positive rate, indicating the proportion of samples with actual operational faults or those requiring anomaly handling that are correctly identified as anomalies by the system and trigger warning commands. The three curves in the figure correspond to three implementation methods: Method A is "fixed threshold plus single scale", which means that during the separation execution process, only a single time scale pressure feature statistical window is used to extract pressure feature parameters, and when comparing the separation outlet pressure, only a fixed pressure threshold range is used to determine the pressure deviation feature; Method B is "fixed threshold plus dual scale", which means that during the separation execution process, both the first and second time scale pressure feature statistical windows are used to extract the first and second pressure feature parameters, but when comparing the separation outlet pressure, only a fixed pressure threshold range is used; Method C is "state-driven plus dynamic threshold plus dual scale", which means that during the separation execution process, the separation completion judgment state and the separation stability judgment state are obtained based on the separation process parameters and separation stability parameters, respectively, and then the separation operation state category is obtained by fusion identification. Based on the separation operation state category, the pressure threshold configuration strategy is executed to obtain the pressure threshold configuration state, so that when comparing the separation outlet pressure, it can dynamically switch between the pressure threshold range and the pressure threshold expansion range, while continuing to use the first and second time scales to extract pressure feature parameters and determine abnormal states. The closer the curve is to the upper left region, the lower the false positive rate and the higher the true positive rate. The larger the area under the curve in the figure, the stronger the overall discrimination ability.
[0072] like Figure 8 As shown, Figure 8 This diagram illustrates the precision and recall rates of three implementation methods for pressure anomaly detection in a pressure-driven rare earth process equipment operation safety management method provided in this application embodiment. It compares the effectiveness of these three methods from two dimensions: early warning reliability and anomaly coverage. The horizontal axis represents "Recall," indicating the proportion of samples that should be judged as an anomaly and require an early warning command, in which the system successfully generates an early warning command. The vertical axis represents "Precision," indicating the proportion of all early warning commands generated by the system that truly correspond to actual operational faults or are judged as an abnormal state, used to assess the reliability of the early warning command. Figure 3The curves still correspond to Method A (fixed threshold plus single scale), Method B (fixed threshold plus dual scale), and Method C (state-driven plus dynamic threshold plus dual scale). In Method C, the "dynamic threshold" originates from mapping the first and second coefficients of difference to obtain the first and second coefficients of pressure regulation when expanding the pressure threshold range. This is then linearly expanded into a pressure threshold expansion range, ensuring that the judgment scale of pressure deviation features matches the perturbation level when the separation stability judgment state is in the stage of separation instability. This reduces false alarms caused by misjudging background perturbations as anomalies, while maintaining coverage of short-term mutations and long-term drifts under the joint evaluation of the first and second time scales. The closer the curve is to the upper right region, the higher the precision can be maintained even under high recall conditions.
[0073] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0074] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A pressure-driven method for safe operation management of rare earth process equipment, characterized in that, Includes the following steps: The organic phase and aqueous phase are separated in a rare earth clarifier. During the separation process, separation process parameters and separation stability parameters are collected. The separation completion determination state and separation stability determination state are analyzed respectively. Based on these, a fusion identification is performed to obtain the separation operation state category. Based on the separation operation status category, the corresponding separation adjustment strategy and pressure threshold configuration strategy are executed to obtain the pressure threshold configuration status. The separation operation status category is updated in real time during the separation execution process until the separation is completed. Real-time statistics are collected on the separation outlet pressure during the separation process, and anomaly consistency analysis is performed based on the pressure threshold configuration status to obtain pressure deviation characteristics; Based on the joint source tracing analysis of pressure deviation characteristics and separation operation status categories, the pressure anomaly attribution type is obtained, thereby generating corresponding early warning instructions and sending them to the rare earth process equipment management center for safety management. The specific method for obtaining the separation operation status category is as follows: Based on the analysis of the separation completion determination status and the separation stability determination status, the separation operation status category is obtained. If the separation completion determination status is separation completed and the separation stability determination status is separation stable, then the obtained separation operation status category is the first status category; if the separation completion determination status is separation completed and the separation stability determination status is separation unstable, then the obtained separation operation status category is the second status category; if the separation completion determination status is separation incomplete and the separation stability determination status is separation stable, then the obtained separation operation status category is the third status category; if the separation completion determination status is separation incomplete and the separation stability determination status is separation unstable, then the obtained separation operation status category is the fourth status category. The method for executing the corresponding separation adjustment strategy and pressure threshold configuration strategy based on the separation operation state category is as follows: if the separation operation state category is the first state category or the third state category, the separation adjustment strategy is not executed, and the pressure threshold configuration strategy is to maintain the pressure threshold range. If the separation operation status category is the second status category, then the separation adjustment first strategy is executed, and the pressure threshold configuration strategy is to expand the pressure threshold range; If the separation operation status category is the fourth status category, then the separation adjustment second strategy is executed, and the pressure threshold configuration strategy is to expand the pressure threshold range; Based on the separation stability judgment value and the separation stability judgment threshold, the deviation normalization calculation under the threshold constraint is performed to obtain the first coefficient of difference degree, and the separation adjustment first coefficient is obtained by mapping based on the first coefficient of difference degree. Based on the separation quality value and the separation quality threshold, the deviation normalization calculation under the threshold constraint is performed to obtain the second coefficient of difference. Based on the second coefficient of difference, the separation adjustment second coefficient is obtained. The separation adjustment first coefficient and the separation adjustment second coefficient are combined to obtain the separation adjustment coefficient. If the separation adjustment first strategy is executed, the separation outlet flow rate set value is reduced based on the separation adjustment coefficient, and the corresponding circulating pump speed and shear strength are reduced and adjusted accordingly. If the second separation regulation strategy is implemented, the circulating pump speed is reduced based on the separation regulation coefficient, and the corresponding shear strength and separation outlet flow rate setpoints are adjusted accordingly.
2. The pressure-driven rare earth process equipment operation safety management method as described in claim 1, characterized in that: The specific method for determining the separation completion status is as follows: During the separation process, separation process parameters within a preset time period are obtained, including separation stabilization time, clarifier liquid level variance, and separation outlet pressure intensity. A preset set of separation process benchmarks is obtained and proportionally processed with the separation process parameters to obtain the proportional processing values of each separation process. A set of separation process weights is introduced, and the proportional processing values of each separation process are coupled based on the set of separation process weights to obtain a separation quality value used to characterize the degree of separation between the organic phase and the aqueous phase. The separation process reference set includes the separation stabilization time reference value, the clarifier liquid level height variance reference value, and the separation outlet pressure intensity reference value; Obtain a preset separation quality threshold and compare it with the separation quality value to obtain the separation completion determination status. If the separation quality value is above the separation quality threshold, the separation completion determination status is separation complete; otherwise, the separation completion determination status is separation incomplete.
3. The pressure-driven rare earth process equipment operation safety management method as described in claim 1, characterized in that: The specific method for determining the separation stability state is as follows: During the separation process, separation stability parameters are acquired within a preset time period. These separation stability parameters include the separation outlet pressure fluctuation intensity, the clarifier liquid level height change trend coefficient, and the percentage of disturbance time. A preset separation stability benchmark set is obtained and compared with the separation stability parameters to obtain each separation stability processing value. The corresponding separation stability weight set is introduced, and the separation stability weight set and separation stability parameters are coupled to obtain the separation stability judgment value used to characterize the stability of the separation process. The separation stability benchmark set includes the benchmark value of the pressure fluctuation intensity at the separation outlet, the benchmark value of the trend coefficient of the liquid level change in the clarifier, and the benchmark value of the proportion of disturbance time. Obtain a preset separation stability judgment threshold and compare it with the separation stability judgment value to obtain the separation stability judgment state. If the separation stability judgment value is above the separation stability judgment threshold, the separation stability judgment state is separation stable; otherwise, the separation stability judgment state is separation unstable.
4. The pressure-driven rare earth process equipment operation safety management method as described in claim 1, characterized in that: The specific method for obtaining the pressure threshold configuration state is as follows: If the pressure threshold configuration strategy is to expand the pressure threshold range, then the first pressure regulation coefficient is obtained by mapping based on the first coefficient of difference, and the second pressure regulation coefficient is obtained by mapping based on the second coefficient of difference. By combining the first pressure regulation coefficient and the second pressure regulation coefficient, the pressure regulation coefficient is obtained. Based on the pressure regulation coefficient, the preset pressure threshold range is linearly expanded to obtain the pressure threshold expansion range, and thus the pressure threshold configuration state is to expand the pressure threshold range. If the pressure threshold configuration strategy is to maintain the pressure threshold range, then the pressure threshold configuration status is to maintain the pressure threshold range.
5. The pressure-driven rare earth process equipment operation safety management method as described in claim 1, characterized in that: The method for obtaining the pressure deviation characteristics is as follows: The separation outlet pressure during the separation execution process is statistically analyzed in real time. If the separation operation status category is the first status category or the third status category, the separation outlet pressure is compared with the pressure threshold range. If the separation outlet pressure is within the pressure threshold, the pressure deviation characteristic is that the pressure has not deviated. If the separation outlet pressure is less than the minimum value of the pressure threshold range, the pressure deviation characteristic is that the pressure deviates downward. If the separation outlet pressure is greater than the maximum value of the pressure threshold range, the pressure deviation characteristic is that the pressure deviates upward. If the separation operation status category is the second or fourth status category, the separation outlet pressure is compared with the pressure threshold amplification range. If the separation outlet pressure is within the pressure threshold amplification range, the pressure deviation characteristic is no deviation. If the separation outlet pressure is less than the minimum value of the pressure threshold amplification range, the pressure deviation characteristic is downward deviation. If the separation outlet pressure is greater than the maximum value of the pressure threshold amplification range, the pressure deviation characteristic is upward deviation.
6. The pressure-driven rare earth process equipment operation safety management method as described in claim 1, characterized in that: The specific method for obtaining the attribution type of pressure anomaly is as follows: Time series analysis is performed based on the pressure deviation characteristics of the separation operation status category under each preset time period. If the pressure deviation characteristic of the previous preset time period is downward pressure deviation or upward pressure deviation, then the abnormal status category of the previous preset time period is abnormal. The separation operation status category is matched to obtain the pressure abnormality attribution type of the separation operation status category. If the pressure deviation characteristic of the previous preset time period is no pressure deviation, the separation outlet pressure value of the separation operation status category is sequentially analyzed at each time scale to obtain the abnormal status of each separation operation status category at each time scale. When the abnormal status category of a certain separation operation status category is normal in the previous time scale, the abnormal status judgment of the next time scale of the separation operation status category is performed. When the abnormal status category of the previous time scale of the separation operation status category is abnormal, the pressure abnormality attribution type of the separation operation status category is matched and the abnormal status judgment of the next time scale is not performed, thus obtaining the pressure abnormality attribution type of each separation operation status category. When all abnormal states at each time scale are normal, the pressure anomaly attribution type is no anomaly, and a false alarm warning is issued. The time scale includes a first time scale and a second time scale.
7. The pressure-driven rare earth process equipment operation safety management method as described in claim 6, characterized in that: The specific method for obtaining the abnormal states of each separated operating state category at each time scale is as follows: During the separation execution process, for each separation operation status category, a statistical window of pressure characteristics corresponding to the first time scale and the second time scale is constructed respectively; Within the first time scale, the first pressure characteristic parameters of the separation outlet pressure are extracted. The first pressure characteristic parameters include the pressure mean deviation rate, the cumulative amplitude of pressure fluctuation, and the continuous proportion of pressure deviation. Based on the first pressure characteristic parameters, a joint evaluation is performed. When any one of the first pressure characteristic parameters exceeds the corresponding anomaly judgment threshold, the abnormal state of the separation operation status category under the first time scale is determined to be abnormal; otherwise, it is determined to be normal. Within the second time scale, the second pressure characteristic parameters of the separation outlet pressure are extracted. The second pressure characteristic parameters include the trend drift coefficient, the threshold overshoot frequency density, and the consistency of the deviation direction. Based on the second pressure characteristic parameters, a joint evaluation is performed. When any one of the second pressure characteristic parameters exceeds the corresponding anomaly judgment threshold, the abnormal state of the separation operation status category under the second time scale is determined to be abnormal; otherwise, it is determined to be normal.
8. A system applying the pressure-driven rare earth process equipment operation safety management method as described in any one of claims 1-7, characterized in that, include: The system separates the operating status category module, pressure threshold configuration module, pressure deviation analysis module, and pressure early warning module. The separation operation status category module is used to perform separation of organic phase and aqueous phase in rare earth clarifier, and to collect separation process parameters and separation stability parameters during the separation process, analyze them to obtain separation completion judgment status and separation stability judgment status, and then perform fusion identification to obtain separation operation status category; The pressure threshold configuration module is used to execute the corresponding separation adjustment strategy and pressure threshold configuration strategy according to the separation operation status category, obtain the pressure threshold configuration status, and update the separation operation status category in real time during the separation execution process until the separation is completed. The pressure deviation analysis module is used to statistically analyze the separation outlet pressure during the separation process in real time, and to perform anomaly consistency analysis based on the pressure threshold configuration status to obtain pressure deviation characteristics. The pressure early warning module is used to perform joint source tracing analysis based on pressure deviation characteristics and separation operation status category to obtain the pressure anomaly attribution type, thereby generating corresponding early warning instructions and sending them to the rare earth process equipment management center for safety management.