System and method for preparing high-purity hydrogen sulfide gas

Abstract

The invention relates to the technical field of hydrogen sulfide, in particular to a system and method for preparing high-purity hydrogen sulfide gas, and the system comprises a hydrogen sulfide concentration analysis module, a purification regulation control module, a processing parameter optimization module, an anomaly detection correction module and a leakage monitoring positioning module. According to the invention, through real-time multi-point monitoring and comprehensive data analysis, the accuracy and dynamic regulation capability of the hydrogen sulfide purification process are improved, rapid response to tiny change of hydrogen sulfide concentration is allowed, the high-purity standard is continuously maintained in a changing industrial environment, and the purification efficiency is improved through the accurate recognition and regulation mechanism of concentration fluctuation; meanwhile, environment and safety risks caused by misoperation are reduced, the safety monitoring capacity of the system is enhanced through the real-time anomaly detection and leakage positioning technology, the continuity and safety of the production process are guaranteed by preventing potential leakage and responding to abnormal conditions, and the production efficiency is improved while the quality of hydrogen sulfide is guaranteed. And the risks of environmental pollution and production accidents are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrogen sulfide, and particularly to a system and method for preparing high-purity hydrogen sulfide gas. Background Art

[0002] Hydrogen sulfide is a colorless and extremely flammable gas with a strong rotten egg smell. It is commonly found in natural gas, petroleum refining processes, and certain industrial wastewater treatments. Technologies in this field usually focus on how to effectively extract and purify hydrogen sulfide for its use in chemical synthesis, environmental governance, and as a raw material for sulfur and other chemicals. The preparation technology of high-purity hydrogen sulfide is particularly important as it directly relates to the quality and safety of products, as well as reducing potential hazards to the environment and operators.

[0003] Among them, the system for preparing high-purity hydrogen sulfide gas efficiently and safely extracts and purifies hydrogen sulfide gas from various sources to a high-purity level. The system usually includes multiple modules such as gas capture, purification, monitoring, and control to ensure that the output of hydrogen sulfide not only meets the purity requirements of specific industrial standards but also complies with environmental protection and safety regulations. The preparation of high-purity hydrogen sulfide gas is mainly used in fields such as fine chemicals, semiconductor manufacturing, environmental monitoring, and experimental research, where extremely high requirements are placed on the gas purity and quality. The development of such a system can improve industrial efficiency and reduce production safety risks.

[0004] In the prior art, during the purification and monitoring processes of hydrogen sulfide, there is a lack of sufficient flexibility and real-time response capabilities, which easily leads to poor treatment effects and an increase in safety risks in a changing industrial production environment. The monitoring of hydrogen sulfide concentration and pressure in the prior art is mostly intermittent or delayed feedback, resulting in the system being difficult to adjust to the optimal working state in a timely manner, thus affecting the overall treatment efficiency and safety. The lack of an effective real-time monitoring and dynamic adjustment mechanism means that when encountering a sudden change in concentration, the system cannot react quickly, and the handling of abnormal states lags, unable to effectively predict and prevent potential environmental risks and safety accidents, increasing the uncertainty in the production process and potential environmental pollution. Summary of the Invention

[0005] The purpose of the present invention is to solve the drawbacks existing in the prior art and propose a system and method for preparing high-purity hydrogen sulfide gas.

[0006] To achieve the above purpose, the present invention adopts the following technical solution: A system for preparing high-purity hydrogen sulfide gas, the system includes: The hydrogen sulfide concentration analysis module monitors the hydrogen sulfide concentration in each area based on hydrogen sulfide concentration, pressure, and flow rate data, analyzes the time variation law of the hydrogen sulfide concentration in each area, identifies the concentration fluctuations within the interval, and determines the concentration fluctuation characteristic area; Based on the concentration fluctuation characteristic region, the purification adjustment control module evaluates the adjustment requirements of the adsorbent flow rate and the reaction chamber pressure, calculates the matching flow rate and pressure adjustment values, analyzes whether the reaction chamber pressure meets the adsorbent flow rate requirements, synchronizes the change amounts of the flow rate and the pressure, and obtains the purification parameter adjustment index; The processing parameter optimization module calls the purification parameter adjustment index, collects the change data of the adsorbent flow rate and the reaction chamber pressure, analyzes the fluctuation characteristics of the influence of each variable on the hydrogen sulfide concentration, identifies the key adjustment variables, and calculates the optimal target adjustment range of the key variables to generate the optimized configuration of the control parameters; The anomaly detection and correction module, according to the optimized configuration of the control parameters, monitors the state parameters of each monitoring point in real time, compares with the established purification operation standard, identifies and analyzes the abnormal deviation data outside the standard, predicts the potential instability interval, and obtains the abnormal deviation identification index.

[0007] The improvement of the present invention is that the concentration fluctuation characteristic region includes measurement data, measurement interval, and trend change information, the purification parameter adjustment index includes flow rate adjustment information, pressure adjustment information, and adjustment response time, the optimized configuration of the control parameters includes optimization frequency, adjustment sensitivity, and control accuracy, and the abnormal deviation identification index includes deviation type, deviation degree, and deviation response speed.

[0008] The improvement of the present invention is that the hydrogen sulfide concentration analysis module includes: The concentration data monitoring sub-module, based on the hydrogen sulfide concentration, pressure, and flow rate data, collects the time series data of each region through the sensor nodes, eliminates the outliers and performs data interpolation, and verifies the data integrity to obtain the complete concentration monitoring sequence; The concentration fluctuation analysis sub-module, based on the complete concentration monitoring sequence, analyzes the change of the hydrogen sulfide concentration at each time point, and uses the formula: ; Calculate the concentration fluctuation rate , and obtain the concentration fluctuation interval, where represents the time when the hydrogen sulfide concentration is represents the time when the hydrogen sulfide concentration is and are respectively the hydrogen sulfide pressure and flow rate at time ; The fluctuation characteristic region identification sub-module, based on the concentration fluctuation interval, analyzes the duration and concentration change amplitude of each interval, calculates the maximum and minimum concentration differences of the interval, identifies the interval with key characteristics, and determines the concentration fluctuation characteristic region.

[0009] The improvement of the present invention is that the purification adjustment control module includes: Based on the concentration fluctuation characteristic region, the flow rate and pressure evaluation sub-module monitors the real-time changes of the adsorbent flow rate and the reaction chamber pressure, evaluates the adjustment requirements of the flow rate and pressure, and obtains purification adjustment requirement data; Based on the purification adjustment requirement data, the parameter matching calculation sub-module uses the formula: ; Calculate the required flow rate adjustment amount , and analyze whether the reaction chamber pressure meets the adsorbent flow rate requirement, and obtain the flow rate-pressure matching parameter. Among them, is the current flow rate, represents the current reaction chamber pressure, is the target pressure, represents the concentration change amount, represents the sensitivity coefficient of the pressure adjustment to the flow rate; According to the flow rate-pressure matching parameter, the synchronous adjustment and optimization sub-module synchronizes the pressure of the reaction chamber and the adsorbent flow rate, adjusts the change ratio of the flow rate and pressure, optimizes the purification process of hydrogen sulfide, and obtains the purification parameter adjustment index.

[0010] The improvement of the present invention is that the processing parameter optimization module includes: The variable fluctuation analysis sub-module calls the purification parameter adjustment index, collects the change data of the adsorbent flow rate and the reaction chamber pressure, calculates the change amplitude of each variable at different times, evaluates the correlation between the variable and the hydrogen sulfide concentration, determines the influence degree on the hydrogen sulfide concentration, and obtains the variable influence characteristics; Based on the variable influence characteristics, the key variable identification sub-module screens the variables that are key to the influence of hydrogen sulfide concentration, and obtains the key adjustment variables by analyzing and judging the stability interval of the variables and the influence changes under different conditions; The target adjustment calculation sub-module calls the key adjustment variables and uses the formula: ; Calculate the optimal target adjustment amplitude , and obtain the optimized configuration of the control parameters. Among them, represents the target concentration of hydrogen sulfide, represents the hydrogen sulfide concentration measured under the current multi-variable setting, represents the variable the sensitivity of the influence on the hydrogen sulfide concentration, is the adjustment coefficient, is the total number of variables.

[0011] The improvement of the present invention is that the abnormal detection and correction module includes: The status monitoring sub-module optimizes the configuration according to the regulation parameters, and monitors the status parameters of each monitoring point in real time, including the reaction chamber temperature, pressure, adsorbent flow rate, and hydrogen sulfide concentration, records the values of the parameters at different time points, evaluates the parameter fluctuation trend, and obtains the dynamic characteristics of the status parameters; The anomaly identification sub-module, based on the dynamic characteristics of the status parameters, compares the established purification operation standards, analyzes the deviation of the parameters of each monitoring point from the standard values, predicts the change direction of the parameters at future moments, and obtains the abnormal deviation data; The deviation correction sub-module, based on the abnormal deviation data, according to the predicted future change and the current deviation, uses the formula: ; Adjusts the parameters to the normal operation range to obtain the abnormal deviation identification index, where is the parameter adjustment value, represents the established purification operation standard parameter value, is the parameter value of the current monitoring point, is the correction coefficient, is a positive number, is the number of monitoring points.

[0012] The improvement of the present invention is that the system further includes: The leakage monitoring and positioning module, based on the abnormal deviation identification index, optimizes the hydrogen sulfide concentration monitoring process in the sensor deployment area, analyzes the concentration change rate of each area, identifies the area with abnormal hydrogen sulfide concentration rate, and establishes a leakage path based on the concentration change direction to determine the location of the hydrogen sulfide leakage source, and obtains the hydrogen sulfide preparation monitoring configuration; The hydrogen sulfide preparation monitoring configuration includes the monitoring range, monitoring accuracy, and monitoring response speed.

[0013] The improvement of the present invention is that the leakage monitoring and positioning module includes: The concentration monitoring sub-module, based on the abnormal deviation identification index, optimizes the hydrogen sulfide concentration monitoring process in the sensor deployment area, sets the sensor measurement points, monitors the hydrogen sulfide concentration in real time, and analyzes its change trend to obtain the hydrogen sulfide concentration change rate; The leakage identification sub-module uses the hydrogen sulfide concentration change rate to compare the distribution characteristics of the concentration change rates of each area, screens the areas with abnormally increased rates, determines whether they exceed the rate standard, marks the areas with abnormal rates, and establishes a hydrogen sulfide leakage path; The leakage positioning sub-module, according to the hydrogen sulfide leakage path, through the concentration gradient and distance change, uses the formula: ; Determines the location of the hydrogen sulfide leakage source to obtain the hydrogen sulfide preparation monitoring configuration, where Indicates the leakage source location index, is the hydrogen sulfide concentration at the th measurement point on the path, is the distance from the th measurement point to the nearest measurement point, is the weight according to the concentration change, is the number of measurement points on the path.

[0014] A method for preparing high-purity hydrogen sulfide gas, which is based on the above-mentioned system for preparing high-purity hydrogen sulfide gas and includes the following steps: S1: Based on the hydrogen sulfide concentration, pressure and flow rate data, monitor the hydrogen sulfide concentration in each area through multiple sensor nodes, analyze the time variation law of the hydrogen sulfide concentration in each area, identify the concentration fluctuations within the interval, and determine the concentration fluctuation characteristic area; S2: Based on the concentration fluctuation characteristic area, evaluate the adjustment requirements of the adsorbent flow rate and the reaction chamber pressure, analyze whether the reaction chamber pressure meets the adsorbent flow rate requirements, synchronize the change amounts of the flow rate and the pressure, optimize the purification process of hydrogen sulfide, and obtain the purification parameter adjustment index; S3: Invoke the purification parameter adjustment index, collect the change data of the adsorbent flow rate and the reaction chamber pressure, analyze the fluctuation characteristics of the influence of each variable on the hydrogen sulfide concentration, and calculate the optimal target adjustment range of the key variable to generate the optimized configuration of the control parameter; S4: According to the optimized configuration of the control parameter, monitor the state parameters of each monitoring point in real time, compare with the established purification operation standard, identify and analyze the abnormal deviation data outside the standard, predict the potential instability interval, and obtain the abnormal deviation identification index; S5: Based on the abnormal deviation identification index, optimize the hydrogen sulfide concentration monitoring process in the sensor deployment area, analyze the concentration change rate in each area, identify the area with abnormal hydrogen sulfide concentration rate, determine the hydrogen sulfide leakage source location, and obtain the hydrogen sulfide preparation monitoring configuration.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In the present invention, through real-time multi-point monitoring and comprehensive data analysis, the accuracy and dynamic adjustment ability of the hydrogen sulfide purification process are improved, allowing for a rapid response to small changes in the hydrogen sulfide concentration, ensuring the continuous maintenance of high-purity standards in a changing industrial environment. The precise identification and adjustment mechanism of concentration fluctuations improves the purification efficiency, while reducing environmental and safety risks caused by improper operation. The real-time anomaly detection and leakage location technology enhances the safety monitoring ability of the system, and by preventing potential leaks and responding to abnormal situations, it guarantees the continuity and safety of the production process, reduces the risk of environmental pollution and production accidents while ensuring the quality of hydrogen sulfide. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This invention provides a system module diagram for preparing high-purity hydrogen sulfide gas; Figure 2 This is the flowchart of the hydrogen sulfide concentration analysis module in this invention; Figure 3 This is the flowchart of the purification and regulation control module in this invention; Figure 4 This is the flowchart of the processing parameter optimization module in this invention; Figure 5 This is the flowchart of the anomaly detection and correction module in this invention; Figure 6 This is the flowchart of the leakage monitoring and positioning module in this invention. Detailed implementation manners

[0017] In order to make the objectives, technical solutions and advantages of this invention clearer, the following further elaborates on this invention in conjunction with the attached drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this invention and not to limit this invention.

[0018] In the description of this invention, it should be understood that the orientation or positional relationships indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the attached drawings. These are only for the convenience of describing this invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and thus should not be construed as a limitation of this invention. In addition, in the description of this invention, "a plurality of" means two or more unless otherwise specifically defined.

[0019] Embodiment Please refer to Figure 1 , this invention provides a technical solution: A system for preparing high-purity hydrogen sulfide gas includes: Based on the hydrogen sulfide concentration, pressure and flow rate data, the hydrogen sulfide concentration analysis module monitors the hydrogen sulfide concentration in each area through multiple sensor nodes, analyzes the time variation law of the hydrogen sulfide concentration in each area according to the hydrogen sulfide concentration and its change trend, identifies the concentration fluctuations within the interval, and determines the concentration fluctuation characteristic area; Based on the concentration fluctuation characteristic area, the purification and regulation control module evaluates the adjustment requirements of the adsorbent flow rate and the reaction chamber pressure, calculates the matching flow rate and pressure adjustment values, analyzes whether the reaction chamber pressure meets the adsorbent flow rate requirements, synchronizes the change amounts of the flow rate and the pressure, optimizes the purification process of hydrogen sulfide, and obtains the purification parameter adjustment index; The processing parameter optimization module calls the purification parameter adjustment index, collects the change data of the adsorbent flow rate and the reaction chamber pressure, analyzes the fluctuation characteristics of the influence of each variable on the hydrogen sulfide concentration, identifies the key adjustment variables, and calculates the optimal target adjustment range of the key variables to generate the optimized configuration of the control parameters; The anomaly detection and correction module, according to the optimized configuration of the control parameters, monitors the status parameters of each monitoring point in real time, compares with the established purification operation standards, identifies and analyzes the abnormal deviation data outside the standards, predicts the potential instability interval, and then adjusts it to the normal operation range to obtain the abnormal deviation identification index; The leakage monitoring and positioning module, based on the abnormal deviation identification index, optimizes the hydrogen sulfide concentration monitoring process in the sensor deployment area, analyzes the concentration change rate of each area, identifies the area with abnormal hydrogen sulfide concentration rate, and establishes the leakage path according to the concentration change direction to determine the location of the hydrogen sulfide leakage source, obtaining the hydrogen sulfide preparation monitoring configuration.

[0020] The concentration fluctuation characteristic area includes measurement data, measurement interval, and trend change information. The purification parameter adjustment index includes flow rate adjustment information, pressure adjustment information, and adjustment response time. The optimized configuration of the control parameters includes optimization frequency, adjustment sensitivity, and control accuracy. The abnormal deviation identification index includes deviation type, deviation degree, and deviation response speed. The hydrogen sulfide preparation monitoring configuration includes monitoring range, monitoring accuracy, and monitoring response speed.

[0021] Please refer to Figure 2 , the hydrogen sulfide concentration analysis module includes: The concentration data monitoring sub-module, based on the hydrogen sulfide concentration, pressure, and flow rate data, collects the time series data of each area through the sensor nodes, eliminates the outliers and performs data interpolation, and verifies the data integrity to obtain the complete concentration monitoring sequence; The hydrogen sulfide concentration, pressure, and flow rate data need to be collected in real time on the sensor nodes in different areas. To ensure the accuracy of the data, the system needs to screen the original data at each time point. First, align the data in time and eliminate the records with abnormal timestamps. For example, if the data appears lagging or leading at a certain time point, the data is considered abnormal and deleted. Then, perform a range check on the values returned by the sensors. For example, the hydrogen sulfide concentration is generally in the range of , the pressure is usually in the range of , and the flow rate is generally between . If the data exceeds this range, it is regarded as abnormal data and eliminated. After eliminating the abnormal data, perform interpolation to fill in the missing data. Use the linear interpolation method, that is, calculate the intermediate missing points according to the values at two adjacent time points. For example, at the concentration is , at the moment the concentration is , then The concentration interpolation of is as follows: Similarly, the pressure and flow rate data are also interpolated and complemented in this way. Then, the system performs a consistency verification on all the data, that is, checks whether there is an abnormal correlation among the three data at the same time point. For example, if the concentration changes abruptly but the pressure and flow rate do not change significantly, it is data anomaly caused by sensor failure or environmental interference. Through the above processing, complete time series data is obtained, that is, a complete concentration monitoring sequence.

[0022] Based on the complete concentration monitoring sequence, the concentration fluctuation analysis sub-module analyzes the change of hydrogen sulfide concentration at each time point, using the formula: ; Calculate the concentration fluctuation rate , and obtain the concentration fluctuation range, where represents the time when the hydrogen sulfide concentration is represents the time when the hydrogen sulfide concentration is and are respectively the hydrogen sulfide pressure and flow rate at time ; Calculate the change rate of hydrogen sulfide concentration at each time point to identify the fluctuation of the concentration. During a certain time period, , , , , then: ; The calculated concentration fluctuation rate sequence can be used to judge the fluctuation situation. When exceeds the threshold, it is considered that a significant fluctuation occurs at this time point. When setting the threshold, the fluctuation range of historical data needs to be considered. For example, if the historical data shows that the normal fluctuation range is , then the threshold can be set as . When at a certain time point , it is marked as a fluctuation range, and all time ranges exceeding the threshold are extracted, that is, the concentration fluctuation range.

[0023] Based on the concentration fluctuation range, the fluctuation characteristic area identification sub-module analyzes the duration and concentration change amplitude of each range, calculates the maximum and minimum concentration differences of the range, identifies the range containing key characteristics, and determines the concentration fluctuation characteristic area; First, calculate the start time and end time of each fluctuation range. The duration is obtained by subtracting the two. For example, if a fluctuation range starts from and ends at , then the duration of this fluctuation range is , then, calculate the maximum and minimum concentration differences within this fluctuation range, that is, find the maximum and minimum concentration values within this range and calculate their difference. For example, if the highest concentration within a certain range is , and the lowest concentration is , then the concentration change range is . Then, analyze the concentration change trend within this fluctuation range. If the concentration value increases or decreases monotonically throughout the range, it is marked as a trend fluctuation; otherwise, it is marked as a random fluctuation. Finally, classify all ranges according to characteristics such as the concentration change range and duration. If the concentration change range is greater than and the duration exceeds , then it is considered that this range has significant characteristics and is classified into the concentration fluctuation characteristic area.

[0024] Please refer to Figure 3 , the purification adjustment control module includes: The flow rate and pressure evaluation sub-module monitors the real-time changes in the adsorbent flow rate and the reaction chamber pressure based on the concentration fluctuation characteristic area, evaluates the adjustment requirements for the flow rate and pressure, and obtains the purification adjustment requirement data; It is necessary to monitor the flow rate of the adsorbent and the pressure of the reaction chamber in real time to determine their change trends and adjustment requirements. First, obtain the flow rate of the adsorbent and the pressure data of the reaction chamber through a flow sensor and a pressure sensor respectively, and record the values at each time point within the monitoring period. For example, at , the flow rate is , and the pressure is . At , the flow rate is , and the pressure is , and so on. Subsequently, calculate the change rate for each time interval. The calculation method for the flow rate change rate is: , where and are the flow rates at the current and the previous moments respectively, is the time interval. For example: . The pressure change rate is calculated in the same way. If the change rate of the flow rate or pressure exceeds the set reference interval, such as the flow rate change rate should be between , and the pressure change rate should be between , then it is considered that this parameter needs to be adjusted, and the purification adjustment requirement data is obtained.

[0025] The parameter matching calculation sub-module, based on the purification adjustment requirement data, uses the formula: ; Calculate the required flow rate adjustment amount , and analyze whether the reaction chamber pressure meets the adsorbent flow rate requirement to obtain the flow rate and pressure matching parameters. Among them, is the current flow rate, which is the actually measured flow rate value of the current adsorbent in the reaction chamber. represents the current reaction chamber pressure, which is the actually measured pressure value in the current reaction chamber. is the target pressure, which is the ideal reaction chamber pressure value set according to the hydrogen sulfide purification requirement. represents the concentration change amount, which refers to the concentration change value of hydrogen sulfide within the measurement period. represents the sensitivity coefficient of pressure adjustment to the flow rate; Based on the purification adjustment requirement data, it is necessary to calculate the matching flow rate adjustment amount and determine whether the reaction chamber pressure meets the adsorbent flow rate requirement. At a certain moment, the parameters are as follows. , , , , , then substitute into the formula for calculation: ; The calculated represents the flow rate change value that needs to be adjusted. If its absolute value is greater than a certain threshold, such as , then it is considered that adjustment is needed and recorded as the flow rate - pressure matching parameter. Among them, The value of can be determined according to the system historical data. For example, the optimal

[0026] The synchronous adjustment and optimization sub - module synchronizes the pressure of the reaction chamber and the adsorbent flow rate according to the flow rate - pressure matching parameter, adjusts the variation ratio of the flow rate and the pressure, optimizes the hydrogen sulfide purification process, and obtains the purification parameter adjustment index. Synchronously adjust the pressure of the reaction chamber and the adsorbent flow rate. During the adjustment process, step - by - step control is adopted, that is, the adjustment amplitude each time is determined by the calculated matching parameter. For example, if , then the flow rate adjustment is carried out in stages according to the step size. First, adjust to , then adjust to until the target value is reached. At the same time, the pressure adjustment is carried out synchronously to ensure that the pressure and flow rate in the reaction chamber change stably during the adjustment process. Finally, the system calculates the variation ratio of the flow rate and the pressure and takes the adjusted parameters as the output to obtain the purification parameter adjustment index.

[0027] Please refer to Figure 4 , the processing parameter optimization module includes: The variable fluctuation analysis sub-module calls the purification parameter adjustment index, collects the change data of the adsorbent flow rate and the reaction chamber pressure, calculates the change amplitude of each variable at different times, evaluates the correlation between the variables and the hydrogen sulfide concentration, determines the degree of influence on the hydrogen sulfide concentration, and obtains the variable influence characteristics. Collect the change data of the adsorbent flow rate and the reaction chamber pressure, set a time step to record the flow rate and pressure values at each moment, and form a time series data set. For example, the flow rate values collected at 0s, 10s, 20s, and 30s are 2.5m / s, 2.7m / s, 3.0m / s, and 3.2m / s respectively, and the pressure values are 95kPa, 96kPa, 98kPa, and 99kPa respectively. By calculating the change rate of adjacent moment data, obtain the change amplitude of the flow rate and pressure. For example, the flow rate change rate at 20s is calculated as (3.0 - 2.7) / (20 - 10) = 0.03m / s², and the pressure change rate is calculated as (98 - 96) / (20 - 10) = 0.2kPa / s. Calculate the change rate at all moments in this way, and obtain the change trend of the flow rate and pressure. Evaluate the correlation between the variables and the hydrogen sulfide concentration through statistical methods, calculate its correlation coefficient, judge the degree of influence of the variables on the hydrogen sulfide concentration, and obtain the variable influence characteristics.

[0028] The key variable identification sub-module screens the variables that are crucial for the hydrogen sulfide concentration based on the variable influence characteristics, and obtains the key adjustment variables by analyzing and judging the stability interval of the variables and their influence changes under different conditions. Screen the variables that are crucial for the hydrogen sulfide concentration, set an influence degree threshold, and calculate the influence contribution degree of the variables. If the contribution degree of a variable exceeds the threshold, it is identified as a key variable. For example, assume that the correlation coefficients of the flow rate, pressure, and temperature variables are 0.75, 0.4, and 0.2 respectively, and the total contribution degree is calculated as 0.75 + 0.4 + 0.2 = 1.35. Calculate the contribution ratio of each variable. For example, the contribution degree of the flow rate is 0.75 / 1.35 = 0.56, the contribution degree of the pressure is 0.4 / 1.35 = 0.3, and the contribution degree of the temperature is 0.2 / 1.35 = 0.15. Set the contribution degree threshold to 0.35, screen out the flow rate and pressure as key variables, analyze the stability interval, and judge their influence differences on the hydrogen sulfide concentration under different working conditions to obtain the key adjustment variables.

[0029] The target adjustment calculation sub-module calls the key adjustment variables and uses the formula: ; Calculate the optimal target adjustment amplitude , and obtain the optimized configuration of the control parameters. Among them, represents the target concentration of hydrogen sulfide, which is an ideal concentration value preset according to the purification requirements and safety standards. represents the hydrogen sulfide concentration measured under the current multi-variable settings, represents the variable sensitivity to the impact on hydrogen sulfide concentration, is the adjustment coefficient used to balance the impacts of adjustments of various variables, is the total number of variables; If the currently measured hydrogen sulfide concentrations are respectively and , the sensitivities of the key variables are respectively set as and , and the adjustment coefficients are respectively and , substitute the values into the formula for calculation: ; ; The calculation results show that the adjustment range of the key variable needs to be reduced by 1.67 ppm to optimize the hydrogen sulfide concentration and obtain the optimized configuration of the control parameters.

[0030] Please refer to Figure 5 , the anomaly detection and correction module includes: The status monitoring sub-module, according to the optimized configuration of the control parameters, monitors the status parameters of each monitoring point in real time, including the reaction chamber temperature, pressure, adsorbent flow rate, and hydrogen sulfide concentration, records the values of the parameters at different time points, and evaluates the parameter fluctuation trend to obtain the dynamic characteristics of the status parameters; Call the optimized configuration of the control parameters, monitor the status parameters of each monitoring point in real time, including the reaction chamber temperature, pressure, adsorbent flow rate, and hydrogen sulfide concentration. To ensure the integrity of the monitoring data, sensors need to be set at each monitoring point, and a fixed time interval is set to record data, for example, record once every 10 s. The collected data includes time , temperature , pressure , adsorbent flow rate and hydrogen sulfide concentration to form a time series data set. The record of each data point is . For example, at , record the temperature , pressure , adsorbent flow rate , hydrogen sulfide concentration . Subsequent data is collected accordingly. After obtaining the parameter time series data, calculate the fluctuation trend of each parameter, use the moving average method to smooth the data, reduce the interference of instantaneous fluctuations, and calculate the change rate of each parameter at time . The temperature change rate is calculated as follows: , Similarly, calculate the change rates of pressure, adsorbent flow rate, and hydrogen sulfide concentration, and record the change trends. For example, set a threshold value. If the change rate of a certain parameter exceeds a certain range, it is determined that the parameter fluctuates significantly. For example, if the temperature change rate is above or below 0.5 K / s, it is considered that the temperature fluctuates greatly, and finally the dynamic characteristics of the state parameters are obtained.

[0031] Based on the dynamic characteristics of the state parameters, compare with the established purification operation standards, analyze the deviation of the parameters at each monitoring point from the standard values, predict the change direction of the parameters at future moments, and obtain the abnormal deviation data; Based on the dynamic characteristics of the state parameters, compare with the established purification operation standards, and set the standard parameter values , calculate the current parameter values at each monitoring point and the deviation from the standard value, and use the absolute deviation calculation method: , set the deviation threshold , if exceeds the threshold, it is determined as an abnormal parameter. For example, if the purification operation standard stipulates that the temperature should be 300 K, the deviation threshold is 2 K, and the temperature at the monitoring point is 304 K, then calculate the deviation: , because 4 K exceeds the threshold of 2 K, it is determined that this temperature value is abnormal data. After screening all abnormal data, predict the future parameter change direction, and use the linear regression method to fit the parameter change trend. Assume the fitting equation is , where is obtained by fitting historical data, such as , then at predict the temperature: , if the predicted value still exceeds the standard range, further mark this monitoring point as an abnormal point and obtain the abnormal deviation data.

[0032] Based on the abnormal deviation data, the deviation correction sub-module adjusts the parameters to the normal operating range according to the predicted future changes and the current deviation, using the formula: ; Obtain the abnormal deviation identification index. Among them, is the parameter adjustment value, which is used to correct the parameters at each monitoring point to the standard operation range, represents the established purification operation standard parameter value, which is the parameter value of the ideal working state that the system should reach, is the parameter value of the current monitoring point, is the correction coefficient, which is used to adjust the influence weight of each parameter, is a positive number to prevent the denominator from being zero, is the number of monitoring points; Purification operation standard parameters Set to 100 kPa, the current parameter value of a monitoring point is 105 kPa, and the parameter value of another monitoring point is 110 kPa. The correction factors are respectively , , set , , then substitute into the formula for calculation: ; ; ; The result shows that the parameter value of the monitoring point needs to be reduced by 10.48 kPa to restore it to the standard operating range, and an abnormal deviation identification index is obtained.

[0033] Please refer to Figure 6 , the leakage monitoring and positioning module includes: The concentration monitoring sub-module optimizes the hydrogen sulfide concentration monitoring process in the sensor deployment area based on the abnormal deviation identification index, sets sensor measurement points, monitors the hydrogen sulfide concentration in real time, analyzes its change trend, and obtains the hydrogen sulfide concentration change rate; Optimize the hydrogen sulfide concentration monitoring process in the sensor deployment area. To ensure monitoring accuracy, set multiple fixed measurement points. The sensor spacing is adjusted according to the hydrogen sulfide diffusion characteristics. For example, set the measurement point spacing to 2 m to 5 m according to ventilation conditions, air flow velocity, and pipeline layout. Install sensors at each measurement point and set the data acquisition frequency to record the hydrogen sulfide concentration data every 10 s , recording time and the measurement point coordinates to form a concentration distribution map, calculate the concentration change rate, and calculate using the finite difference method: , if increases from 10 ppm to 25 ppm within 30 s, then the rate is calculated as follows: , use a threshold to judge whether the rate is within the normal range. For example, set the concentration rate standard range ppm / s. If the rate exceeds 0.3 ppm / s, mark this measurement point as a concentration sudden increase point and analyze its change trend. If the rate exceeds the standard at multiple adjacent measurement points, mark it as the hydrogen sulfide concentration change rate.

[0034] The leakage identification sub-module uses the hydrogen sulfide concentration change rate to compare the distribution characteristics of the concentration change rate in each area, screens the areas with abnormally high rates, judges whether it exceeds the rate standard, marks the areas with abnormal rates, and establishes the hydrogen sulfide leakage path; Analyze the rate distribution characteristics of each measurement point using the change rate of hydrogen sulfide concentration, compare the concentration rates of each region, determine the region with a sudden increase in rate, screen the measurement points with rates exceeding the standard, and calculate the regional rate using the weighted average method: , where is the concentration rate of the measurement point, is the weight of the measurement point. If the rates of n = 3 measurement points are 0.6 ppm / s, 0.7 ppm / s, and 0.8 ppm / s respectively, and the weights are 1, 0.8, and 0.9, calculate: ; If exceeds the set standard of 0.3 ppm / s, then determine that this region is a rate abnormal region, mark it and establish a concentration change path, and form a hydrogen sulfide leakage path by connecting continuous rate abnormal regions.

[0035] The leakage location sub-module, based on the hydrogen sulfide leakage path, through the concentration gradient and distance change, uses the formula: ; Determine the location of the hydrogen sulfide leakage source and obtain the hydrogen sulfide preparation monitoring configuration. Among them, represents the leakage source location index, which is used to locate the potential location of hydrogen sulfide leakage, is the hydrogen sulfide concentration at the th measurement point on the path, which is used to calculate the influence of the leakage intensity at this point, is the distance from the th measurement point to the nearest measurement point, which is used to calculate the influence of the concentration change on the distance, is the weight according to the concentration change, is the number of measurement points on the path; According to the hydrogen sulfide leakage path, calculate the most leakage source through the concentration gradient and the distance between measurement points. Suppose there are = 3 measurement points on the leakage path, and the measured hydrogen sulfide concentrations are , and respectively, the distances between measurement points are , and , the weights are , and respectively, and substitute them into the formula for calculation: ; The result shows that is 41.8, which reflects the potential location intensity of the hydrogen sulfide leakage source. If the leakage determination standard is 30, then the result exceeds this value, indicating that both the concentration gradient and distance factors at the leakage source location meet the leakage source determination conditions, further confirming that this region is the hydrogen sulfide leakage point and obtaining the hydrogen sulfide preparation monitoring configuration.

[0036] A method for preparing high-purity hydrogen sulfide gas, comprising the following steps: S1: Based on the hydrogen sulfide concentration, pressure and flow rate data, monitor the hydrogen sulfide concentration in each area through multiple sensor nodes, analyze the time variation law of the hydrogen sulfide concentration in each area, identify the concentration fluctuations within the interval, and determine the concentration fluctuation characteristic area; S2: Based on the concentration fluctuation characteristic area, evaluate the adjustment requirements of the adsorbent flow rate and the reaction chamber pressure, analyze whether the reaction chamber pressure meets the adsorbent flow rate requirements, synchronize the change amounts of the flow rate and the pressure, optimize the purification process of hydrogen sulfide, and obtain the purification parameter adjustment index; S3: Invoke the purification parameter adjustment index, collect the change data of the adsorbent flow rate and the reaction chamber pressure, analyze the fluctuation characteristics of the influence of each variable on the hydrogen sulfide concentration, and calculate the optimal target adjustment amplitude of the key variable to generate an optimized configuration of the control parameters; S4: According to the optimized configuration of the control parameters, monitor the state parameters of each monitoring point in real time, compare with the established purification operation standards, identify and analyze the abnormal deviation data outside the standards, predict the potential instability interval, and obtain the abnormal deviation identification index; S5: Based on the abnormal deviation identification index, optimize the hydrogen sulfide concentration monitoring process in the sensor deployment area, analyze the concentration change rate in each area, identify the areas with abnormal hydrogen sulfide concentration rates, determine the location of the hydrogen sulfide leakage source, and obtain the hydrogen sulfide preparation monitoring configuration.

[0037] The above is only a preferred embodiment of the present invention, and does not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A system for preparing high-purity hydrogen sulfide gas, characterized in that: The system comprises: The hydrogen sulfide concentration analysis module monitors the hydrogen sulfide concentration in each area based on the hydrogen sulfide concentration, pressure and flow rate data, analyzes the time variation pattern of the hydrogen sulfide concentration in each area, identifies the concentration fluctuation within the interval, and determines the concentration fluctuation characteristic area; The purification adjustment control module evaluates the adjustment requirements of the adsorbent flow rate and the reaction chamber pressure based on the concentration fluctuation characteristic area, calculates the matching flow rate and pressure adjustment values, analyzes whether the reaction chamber pressure meets the adsorbent flow rate requirements, synchronizes the changes in flow rate and pressure, and obtains the purification parameter adjustment index; The processing parameter optimization module calls the purification parameter adjustment index, collects the change data of the adsorbent flow rate and the reaction chamber pressure, analyzes the fluctuation characteristics of each variable on the hydrogen sulfide concentration, identifies the key adjustment variables, and calculates the optimal target adjustment range of the key variables, and generates the control parameter optimization configuration; The abnormal detection and correction module optimizes the configuration according to the control parameters, monitors the state parameters of each monitoring point in real time, compares the established purification operation standards, identifies and analyzes abnormal deviation data outside the standards, predicts potential instability intervals, and obtains abnormal deviation identification indicators.

2. The system for preparing high-purity hydrogen sulfide gas according to claim 1, characterized in that: The concentration fluctuation characteristic area includes measurement data, measurement interval, and trend change information; the purification parameter adjustment indicators include flow rate adjustment information, pressure adjustment information, and adjustment response time; the control parameter optimization configuration includes optimization frequency, adjustment sensitivity, and control accuracy; the abnormal deviation identification indicators include deviation type, deviation degree, and deviation response speed.

3. The system for preparing high-purity hydrogen sulfide gas according to claim 1, characterized in that: The hydrogen sulfide concentration analysis module comprises: The concentration data monitoring submodule collects the time series data of each area through sensor nodes based on the hydrogen sulfide concentration, pressure and flow rate data, removes outliers and performs data interpolation, and verifies the data integrity to obtain a complete concentration monitoring sequence; The concentration fluctuation analysis submodule analyzes the change in hydrogen sulfide concentration at each time point based on the complete concentration monitoring sequence, using the formula: ； Calculate the concentration fluctuation rate , and the concentration fluctuation range is obtained, where Representative time The concentration of hydrogen sulfide at Representative time The concentration of hydrogen sulfide at and The time The hydrogen sulfide pressure and flow rate at The fluctuation characteristic area identification submodule analyzes the duration and concentration variation of each interval based on the concentration fluctuation interval, calculates the maximum and minimum concentration differences of the interval, identifies the interval containing key features, and determines the concentration fluctuation characteristic area.

4. The system for preparing high-purity hydrogen sulfide gas according to claim 1, characterized in that: The purification adjustment control module includes: The flow rate and pressure evaluation submodule monitors the real-time changes of the adsorbent flow rate and the reaction chamber pressure based on the concentration fluctuation characteristic area, evaluates the adjustment requirements of the flow rate and pressure, and obtains purification adjustment requirement data; The parameter matching calculation submodule adopts the formula based on the purification adjustment demand data: ； Calculate the required flow rate adjustment , and analyze whether the reaction chamber pressure meets the adsorbent flow rate requirements, and obtain the flow rate and pressure matching parameters, where: is the current flow rate, Indicates the current reaction chamber pressure, is the target pressure, represents the concentration change, Indicates the sensitivity coefficient of pressure adjustment to flow rate; The synchronous regulation and optimization submodule synchronizes the pressure of the reaction chamber and the adsorbent flow rate according to the flow rate and pressure matching parameters, adjusts the change ratio of the flow rate and the pressure, optimizes the purification process of hydrogen sulfide, and obtains the purification parameter adjustment index.

5. The system for preparing high-purity hydrogen sulfide gas according to claim 1, characterized in that: The processing parameter optimization module includes: The variable fluctuation analysis submodule calls the purification parameter adjustment index, collects the change data of the adsorbent flow rate and the reaction chamber pressure, calculates the change amplitude of each variable at the difference time, and evaluates the correlation between the variable and the hydrogen sulfide concentration, determines the degree of influence on the hydrogen sulfide concentration, and obtains the variable influence characteristics; The key variable identification submodule screens the variables that have a key impact on the hydrogen sulfide concentration based on the variable impact characteristics, and obtains the key adjustment variables by analyzing and judging the stability interval of the variables and the impact changes under different conditions; The target adjustment calculation submodule calls the key adjustment variable and adopts the formula: ； Calculate the optimal target adjustment , and obtain the optimal configuration of control parameters, where represents the target concentration of hydrogen sulfide, represents the hydrogen sulfide concentration measured under the current multivariate settings, Representation variables Sensitivity to the effect of hydrogen sulfide concentration, is the adjustment factor, is the total number of variables.

6. The system for preparing high-purity hydrogen sulfide gas according to claim 1, characterized in that: The anomaly detection and correction module comprises: The state monitoring submodule is configured according to the optimization of the control parameters, and monitors the state parameters of each monitoring point in real time, including the reaction chamber temperature, pressure, adsorbent flow rate and hydrogen sulfide concentration, records the values ​​of the parameters at different time points, and evaluates the parameter fluctuation trend to obtain the dynamic characteristics of the state parameters; The abnormality identification submodule compares the established purification operation standard based on the dynamic characteristics of the state parameters, analyzes the deviation of the parameters of each monitoring point relative to the standard value, predicts the change direction of the parameters at future moments, and obtains abnormal deviation data; The deviation correction submodule adopts the formula based on the abnormal deviation data, the predicted future changes and the current deviation: ； Adjust the parameters to the normal operating range and obtain the abnormal deviation identification index, where: is the parameter adjustment value, Indicates the established standard parameter value for purification operation. is the parameter value of the current monitoring point, is the correction factor, is a positive number, is the number of monitoring points.

7. The system for preparing high-purity hydrogen sulfide gas according to claim 1, characterized in that: The system further comprises: The leakage monitoring and positioning module optimizes the hydrogen sulfide concentration monitoring process in the sensor deployment area based on the abnormal deviation identification index, analyzes the concentration change rate of each area, identifies the area with abnormal hydrogen sulfide concentration rate, and establishes the leakage path according to the concentration change direction, determines the location of the hydrogen sulfide leakage source, and obtains the hydrogen sulfide preparation monitoring configuration; The hydrogen sulfide production monitoring configuration includes monitoring range, monitoring accuracy, and monitoring response speed.

8. The system for preparing high-purity hydrogen sulfide gas according to claim 7, characterized in that: The leakage monitoring and positioning module comprises: The concentration monitoring submodule optimizes the hydrogen sulfide concentration monitoring process in the sensor deployment area based on the abnormal deviation identification index, sets sensor measurement points, monitors the hydrogen sulfide concentration in real time, analyzes its change trend, and obtains the hydrogen sulfide concentration change rate; The leakage identification submodule uses the hydrogen sulfide concentration change rate to compare the distribution characteristics of the concentration change rate in each area, screens the area with abnormally increased rate, determines whether it exceeds the rate standard, marks the abnormal rate area, and establishes the hydrogen sulfide leakage path; The leakage locating submodule adopts the formula according to the hydrogen sulfide leakage path, concentration gradient and distance change: ； Determine the location of the hydrogen sulfide leakage source and obtain the hydrogen sulfide production monitoring configuration, where: Indicates the leak source location indicator, It is the first The hydrogen sulfide concentration at each measuring point is It is The distance from a measuring point to the nearest measuring point, is the weight according to the change in concentration, is the number of measurement points on the path.

9. A method for preparing high-purity hydrogen sulfide gas, characterized in that: The system for preparing high-purity hydrogen sulfide gas according to any one of claims 1 to 8 comprises the following steps: S1: Based on the hydrogen sulfide concentration, pressure and flow rate data, the hydrogen sulfide concentration in each area is monitored through multiple sensor nodes, the time variation law of the hydrogen sulfide concentration in each area is analyzed, the concentration fluctuation within the interval is identified, and the concentration fluctuation characteristic area is determined; S2: Based on the concentration fluctuation characteristic area, evaluate the adjustment requirements of the adsorbent flow rate and the reaction chamber pressure, analyze whether the reaction chamber pressure meets the adsorbent flow rate requirements, synchronize the changes in flow rate and pressure, optimize the purification process of hydrogen sulfide, and obtain purification parameter adjustment indicators; S3: calling the purification parameter adjustment index, collecting the change data of the adsorbent flow rate and the reaction chamber pressure, analyzing the fluctuation characteristics of each variable on the hydrogen sulfide concentration, and calculating the optimal target adjustment range of the key variables, and generating the optimization configuration of the control parameters; S4: According to the control parameter optimization configuration, the state parameters of each monitoring point are monitored in real time, compared with the established purification operation standard, the abnormal deviation data outside the standard is identified and analyzed, the potential instability interval is predicted, and the abnormal deviation identification index is obtained; S5: Based on the abnormal deviation identification index, the hydrogen sulfide concentration monitoring process in the sensor deployment area is optimized, the concentration change rate of each area is analyzed, the area with abnormal hydrogen sulfide concentration rate is identified, the location of the hydrogen sulfide leakage source is determined, and the hydrogen sulfide preparation monitoring configuration is obtained.

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