A method, apparatus, medium, and product for analyzing the oxidation degree of desulfurization slurry.

Abstract

A method, apparatus, medium, and product for analyzing the oxidation degree of desulfurization slurry are disclosed, relating to the field of flue gas desulfurization technology. The method involves obtaining detection index values ​​of the desulfurization slurry; calculating the rate of change and fluctuation amplitude of each detection index value within a preset time window, and combining the rate of change and fluctuation amplitude into a condition feature vector; if the current desulfurization system is determined to be in a quasi-steady-state operating cycle, the original oxidation index is compensated and corrected using interference parameter values ​​to obtain a corrected oxidation index; if the current desulfurization system is determined to be in a dynamic disturbance cycle, a correction model for the index value corresponding to the dynamic disturbance cycle is determined, and the original oxidation index is input into the correction model to obtain the corrected oxidation index; based on the corrected oxidation index, the oxidation degree of the desulfurization slurry is determined, and the frequency converter frequency or inlet guide vane opening of the oxidation fan is adjusted based on the oxidation degree. Implementing this application improves the accuracy of analyzing the oxidation degree of desulfurization slurry.

Description

Technical Field

[0001] This application relates to the field of flue gas desulfurization, specifically to a method, apparatus, medium, and product for analyzing the oxidation degree of desulfurization slurry. Background Technology

[0002] With the rapid development of the thermal power industry and increasingly stringent environmental protection requirements, by the end of 2024, the total installed capacity of thermal power in China had reached 1.444 billion kilowatts, of which ultra-low emission coal-fired power units had exceeded 1 billion kilowatts. Limestone-gypsum wet desulfurization technology accounted for as much as 92% of the desulfurization units already in operation, becoming the mainstream desulfurization technology. In wet desulfurization systems, slurry oxidation is a key link, directly affecting gypsum quality, desulfurization efficiency, and system operational stability. The desulfurization industry has now entered a stage of refined and efficient operation and maintenance, placing higher demands on the precise control of slurry oxidation levels. However, existing technologies still have significant shortcomings in the analysis and control of slurry oxidation levels.

[0003] Existing methods for controlling the oxidation of desulfurization slurry suffer from significant analytical lag. Typically, oxidation levels are assessed only when the desulfurization system malfunctions, through offline sampling and laboratory analysis of the slurry. However, the entire process—from sampling to transportation and laboratory analysis—is lengthy. Furthermore, sulfites are prone to secondary oxidation during transport, leading to analytical results that are lower than actual values ​​and fail to accurately reflect the slurry's oxidation state. This, in turn, affects the control accuracy of the oxidation blower. Moreover, this method continues to employ the same analytical approach during transitional phases such as unit start-up and shutdown. In these situations, the instantaneous data collected by sensors exhibits large fluctuations and lacks representativeness, failing to accurately reflect the actual oxidation state of the slurry and resulting in low accuracy in analyzing the oxidation level of the desulfurization slurry. Summary of the Invention

[0004] This application provides a method, apparatus, medium, and product for analyzing the oxidation degree of desulfurization slurry, which improves the accuracy of analyzing the oxidation degree of desulfurization slurry.

[0005] The first aspect of this application provides a method for analyzing the oxidation degree of desulfurization slurry. The method is applied to a slurry sampling and measuring device, which includes a sampling pipeline, a filter assembly, an automatic flushing assembly, a reflux pipeline, and a temperature insulation assembly. The inlet end of the sampling pipeline is connected to a spare slurry tank outlet of the desulfurization absorption tower or the outlet pipeline of the slurry circulation pump. The desulfurization slurry flows along the sampling pipeline to the filter assembly and enters a constant-temperature measuring chamber enclosed by the temperature insulation assembly. The constant-temperature measuring chamber includes integrated sensors, including a platinum electrode sensor for measuring oxidation-reduction potential, a fluorescence dissolved oxygen sensor for measuring dissolved oxygen concentration, a corrosion-resistant glass electrode for measuring pH value, and a sulfite ion-selective electrode for measuring sulfite concentration. The method includes: acquiring detection index values ​​of the desulfurization slurry, the detection index values ​​including original oxidation index and interference parameter values, the original oxidation index including sulfite concentration, oxidation-reduction potential, and interference parameter values. The original potential and dissolved oxygen concentration are considered, and the interference parameters include temperature, pH value, and density. The rate of change and fluctuation amplitude of each detection index value within a preset time window are calculated, and the rate of change and fluctuation amplitude are combined into a working condition feature vector. Based on the working condition feature vector, it is determined whether the current desulfurization system is in a quasi-steady-state operation cycle or a dynamic disturbance cycle. If the current desulfurization system is determined to be in a quasi-steady-state operation cycle, the original oxidation index is compensated and corrected using the interference parameter values ​​to obtain a corrected oxidation index. If the current desulfurization system is determined to be in a dynamic disturbance cycle, the index value correction model corresponding to the dynamic disturbance cycle is determined, and the original oxidation index is input into the index value correction model to obtain a corrected oxidation index. Based on the corrected oxidation index, the oxidation degree of the desulfurization slurry is determined, and the frequency converter frequency or inlet guide vane opening of the oxidation fan connected to the desulfurization absorption tower is adjusted based on the oxidation degree to adjust the oxidation air volume supplied to the desulfurization absorption tower.

[0006] By employing the above technical solution, detection index values ​​of the desulfurization slurry are obtained from the standby pipe of the slurry pool or the outlet pipe of the slurry circulation pump in the desulfurization absorption tower through a slurry sampling and measurement device. These detection index values ​​include original oxidation index values ​​and interference parameter values, enabling comprehensive collection of multi-dimensional parameter information reflecting the oxidation state of the desulfurization slurry. By calculating the rate of change and fluctuation amplitude of each detection index value within a preset time window and combining them into an operating condition feature vector, the dynamic operating characteristics of the desulfurization system can be quantitatively characterized. Based on the operating condition feature vector, it can be determined whether the current desulfurization system is in a quasi-steady-state operating cycle or a dynamic disturbance cycle, accurately identifying the actual operating state of the desulfurization system. For the quasi-steady-state operating cycle, the original oxidation index is compensated and corrected using interference parameter values, eliminating the influence of interference factors such as temperature, pH value, and density on the measurement results. For the dynamic disturbance cycle, an index value correction model is used to correct the original oxidation index, compensating for errors caused by sensor measurement response lag under dynamic operating conditions. Based on the corrected oxidation index, the oxidation degree of the desulfurization slurry is determined, improving the accuracy and reliability of the oxidation degree determination results. The desulfurization slurry oxidation degree analysis method provided in this application achieves real-time online detection of key indicators such as sulfite concentration, redox potential, dissolved oxygen concentration, and pH value through integrated sensors. It compensates and corrects the original oxidation indicators by combining interference parameter values, which greatly improves the accuracy and reliability of oxidation degree analysis. At the same time, by calculating the rate of change and fluctuation amplitude of the detected indicators to construct the operating condition feature vector, the system operating status can be accurately determined. Furthermore, a dynamic lag compensation is performed by using an indicator correction model for dynamic disturbance cycles, which solves the problem of low analysis accuracy in existing technologies.

[0007] Optionally, obtaining the detection index values ​​of the desulfurization slurry specifically includes: extracting desulfurization slurry from the spare port of the slurry pool of the desulfurization absorption tower or the outlet pipe of the slurry circulation pump through the sampling pipeline; conveying the desulfurization slurry to the filtration assembly for solid-liquid separation pretreatment, and using a filter screen with a pore size not larger than a preset filtration threshold to trap solid impurities in the desulfurization slurry; introducing the filtered slurry sample into a constant temperature measurement chamber covered by the temperature insulation assembly, and using the temperature insulation assembly to perform constant temperature regulation treatment on the slurry sample to stabilize the temperature of the slurry sample within a preset reference temperature range; and measuring the desulfurization slurry using an integrated sensor in the constant temperature measurement chamber to obtain the detection index value corresponding to the integrated sensor.

[0008] By employing the above technical solution, desulfurization slurry can be extracted from the backup pipe of the slurry pool in the desulfurization absorption tower or from the outlet pipe of the slurry circulation pump through sampling pipelines, thus obtaining representative slurry samples. Solid impurities in the desulfurization slurry are trapped by a filter screen in the filtration assembly with a pore size no larger than a preset filtration threshold, preventing solid particles from clogging the pipeline and damaging the integrated sensor. The slurry sample is kept at a constant temperature by a temperature insulation assembly, stabilizing its temperature within a preset reference temperature range, eliminating the impact of temperature fluctuations on the sensor's measurement accuracy. The integrated sensor within the constant-temperature measurement chamber measures the desulfurization slurry to obtain detection index values, enabling accurate acquisition of original oxidation index and interference parameter values ​​under a stable measurement environment.

[0009] Optionally, the step of calculating the rate of change and fluctuation amplitude of each of the detection index values ​​within a preset time window, and combining the rate of change and the fluctuation amplitude into a working condition feature vector, specifically includes: continuously collecting data on each of the detection index values ​​at a preset sampling interval to obtain a time-series data sequence of each of the detection index values ​​within the preset time window; performing a first-order difference operation on each of the time-series data sequences to calculate the index change between adjacent sampling times, and dividing each index change by the sampling interval duration to obtain an instantaneous rate of change sequence of each of the detection index values; calculating the mean of each instantaneous rate of change sequence, and using the mean as the rate of change of each of the detection index values ​​within the preset time window; extracting the maximum and minimum values ​​from each of the time-series data sequences, calculating the difference between the maximum and minimum values, and using the difference as the fluctuation amplitude of each of the detection index values; and arranging and combining the rate of change and fluctuation amplitude corresponding to each of the detection index values ​​in a preset order to form the working condition feature vector.

[0010] By employing the above technical solution, continuous acquisition of time-series data sequences of various detection index values ​​at preset sampling intervals can capture complete dynamic information about the changes in detection index values ​​over time. Performing first-order difference operations on each time-series data sequence and dividing the index change by the sampling interval yields an instantaneous rate of change sequence, accurately characterizing the instantaneous rate of change of the detection index values. Calculating the mean of each instantaneous rate of change sequence as the rate of change reflects the overall trend of the detection index values ​​within a preset time window. Extracting the difference between the maximum and minimum values ​​of each time-series data sequence as the fluctuation amplitude quantifies the degree of fluctuation in the detection index values. Arranging and combining the rate of change and fluctuation amplitude corresponding to each detection index value in a preset order constitutes a working condition feature vector, forming a unified data format for subsequent working condition determination.

[0011] Optionally, determining the index value correction model corresponding to the dynamic disturbance cycle and inputting the original oxidation index into the index value correction model to obtain the corrected oxidation index specifically includes: identifying the disturbance type of the dynamic disturbance cycle based on the operating condition feature vector, wherein the disturbance type includes load increase disturbance, load decrease disturbance, slurry replenishment disturbance, and oxidation air volume adjustment disturbance; retrieving an index value correction model matching the disturbance type from a preset dynamic correction model library according to the disturbance type, wherein the index value correction model is a time-varying parameter regression model trained based on historical dynamic disturbance operating condition data; extracting the change rate of each original oxidation index from the operating condition feature vector as an auxiliary input feature of the index value correction model, and inputting the change rate and the current measured value of the original oxidation index into the index value correction model; calculating the dynamic lag compensation amount based on the current measured value of the original oxidation index and the change rate through the index value correction model, and superimposing the dynamic lag compensation amount onto the current measured value of the original oxidation index to obtain the corrected oxidation index.

[0012] By adopting the above technical solution, the disturbance type of the dynamic disturbance cycle can be identified based on the operating condition feature vector, distinguishing different disturbance scenarios such as load increase disturbance, load decrease disturbance, slurry replenishment disturbance, and oxidation air volume adjustment disturbance. Based on the disturbance type, a matching index value correction model is retrieved from a pre-set dynamic correction model library, enabling correction using a specially trained time-varying parameter regression model for different disturbance types. The rate of change of each original oxidation index is extracted from the operating condition feature vector as an auxiliary input feature, providing dynamic change information of the current disturbance state to the index value correction model. The dynamic hysteresis compensation is calculated by the index value correction model and superimposed on the current measurement value of the original oxidation index to obtain the corrected oxidation index, compensating for measurement deviations caused by sensor measurement response lag during dynamic disturbances.

[0013] Optionally, determining whether the current desulfurization system is in a quasi-steady-state operating cycle or a dynamic disturbance cycle based on the operating condition feature vector specifically includes: extracting the rate of change corresponding to each of the original oxidation indicators from the operating condition feature vector and calculating the weighted change index of the rate of change; extracting the fluctuation amplitude corresponding to each of the original oxidation indicators from the operating condition feature vector and calculating the normalized fluctuation intensity index of the fluctuation amplitude; weighting and fusing the weighted change index and the normalized fluctuation intensity index to obtain an operating state determination index; if the operating state determination index is less than a preset steady-state threshold, then the current desulfurization system is determined to be in the quasi-steady-state operating cycle; if the operating state determination index is greater than or equal to the preset steady-state threshold, then the current desulfurization system is determined to be in the dynamic disturbance cycle.

[0014] By employing the above technical solutions, the rate of change corresponding to each original oxidation index is extracted from the operating condition feature vector, and a weighted change index is calculated, which comprehensively quantifies the rate of change of each original oxidation index. Extracting the fluctuation amplitude corresponding to each original oxidation index from the operating condition feature vector and calculating a normalized fluctuation intensity index eliminates the influence of differences in the dimensions of different original oxidation indices. Weighting and fusing the weighted change index and the normalized fluctuation intensity index yields an operating state determination index, forming a unified basis for determining the operating state. By comparing the operating state determination index with a preset steady-state threshold, it is determined whether the current desulfurization system is in a quasi-steady-state operating cycle or a dynamic disturbance cycle, accurately distinguishing different operating states of the desulfurization system and selecting appropriate correction strategies.

[0015] Optionally, determining the oxidation degree of the desulfurization slurry based on the modified oxidation index specifically includes: constructing a three-dimensional oxidation state space using the modified sulfite concentration as the primary determination index and the modified redox potential and modified dissolved oxygen concentration as auxiliary determination indices; establishing a partition boundary surface for the oxidation degree in the three-dimensional oxidation state space, which divides the three-dimensional oxidation state space into an insufficient oxidation region, a normal oxidation region, and an excessive oxidation region; mapping the modified oxidation index to corresponding coordinate points in the three-dimensional oxidation state space; if the coordinate point is located in the insufficient oxidation region, the oxidation degree of the desulfurization slurry is determined to be insufficient; if the coordinate point is located in the normal oxidation region, the oxidation degree of the desulfurization slurry is determined to be normal; if the coordinate point is located in the excessive oxidation region, the oxidation degree of the desulfurization slurry is determined to be excessive; if the coordinate point is located within a preset neighborhood of the partition boundary surface of an adjacent region, the desulfurization slurry is determined to be in a critical oxidation state.

[0016] By adopting the above technical solution, a three-dimensional oxidation state space is constructed using the corrected sulfite concentration as the primary criterion and the corrected redox potential and corrected dissolved oxygen concentration as auxiliary criterions. This allows for the establishment of a multi-dimensional analytical framework for comprehensively determining the degree of oxidation. By establishing partition boundary surfaces within the three-dimensional oxidation state space, the space is divided into insufficient oxidation regions, normal oxidation regions, and excessive oxidation regions, thus forming clear classification standards for the degree of oxidation. Mapping the corrected oxidation indicators to corresponding coordinate points in the three-dimensional oxidation state space allows for a direct determination of the current oxidation state of the desulfurization slurry. The oxidation degree of the desulfurization slurry is determined based on the region where the coordinate point is located, classifying it as insufficient, normal, or excessive oxidation, and a clear oxidation degree determination result is output. When the coordinate point is within a preset neighborhood of the partition boundary surface, the desulfurization slurry is determined to be in a critical oxidation state, providing early warnings for boundary conditions.

[0017] Optionally, the method further includes: injecting a flushing medium into the sampling pipeline and the constant temperature measurement chamber through the automatic flushing assembly to flush and clean the inner wall of the pipeline and the surface of the sensor; guiding the measured slurry sample and flushing waste liquid into a ditch through the return pipeline; monitoring the response characteristic parameters of the integrated sensor, and increasing the flushing frequency or extending the flushing time when the response characteristic parameters deviate from the preset standard response range to restore the measurement accuracy of the integrated sensor.

[0018] By employing the above technical solution, an automatic flushing assembly injects flushing medium into the sampling pipeline and the constant-temperature measurement chamber to clean the inner walls of the pipeline and the surface of the sensor, effectively removing slurry residues and scale adhering to these surfaces. The measured slurry sample and flushing wastewater are then directed to a drainage ditch via a return pipeline, ensuring the orderly discharge of both. Monitoring the response characteristics of the integrated sensor and increasing the flushing frequency or duration when these parameters deviate from the preset standard response range allows for timely restoration of the integrated sensor's measurement accuracy, thereby ensuring the accuracy of the detected values.

[0019] In a second aspect, embodiments of this application provide a desulfurization slurry oxidation degree analysis device, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, the computer program code including computer instructions, and the one or more processors call the computer instructions to cause the desulfurization slurry oxidation degree analysis device to perform the method as described in the first aspect and any possible implementation thereof.

[0020] Thirdly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on a desulfurization slurry oxidation degree analysis device, cause the desulfurization slurry oxidation degree analysis device to perform the method described in the first aspect and any possible implementation thereof.

[0021] Fourthly, embodiments of this application provide a computer program product containing instructions that, when the computer program product is run on a desulfurization slurry oxidation degree analysis device, cause the desulfurization slurry oxidation degree analysis device to perform the method described in the first aspect and any possible implementation thereof.

[0022] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages: 1. By integrating real-time online detection sensors and combining them with the constant temperature measurement chamber and filter components in the slurry sampling and measurement device, real-time and accurate detection of slurry oxidation indicators is achieved. This avoids the analysis lag caused by secondary oxidation during sampling and transportation, thus accurately reflecting the oxidation state of the slurry and effectively improving the accuracy of oxidation fan control.

[0023] 2. By calculating the rate of change and fluctuation amplitude of oxidation index and disturbance parameters, a working condition feature vector is constructed to accurately identify the quasi-steady-state operation cycle or dynamic disturbance cycle of the desulfurization system. Under the dynamic disturbance cycle, an index correction model is used for dynamic lag compensation, which significantly improves the reliability of oxidation degree analysis, solves the problem of large data fluctuations in the working condition transition stage that make it impossible to accurately judge the oxidation state, and ensures the efficient and stable operation of the desulfurization system.

[0024] 3. By constructing a three-dimensional oxidation state space based on modified oxidation indices, the oxidation state of the slurry (including insufficient oxidation, normal oxidation, excessive oxidation, and critical oxidation state) can be accurately determined. Combined with automatic flushing components to clean and maintain the pipeline and sensor surfaces, the measurement accuracy and reliability of the equipment during long-term operation are ensured, providing a strong guarantee for the refined operation and maintenance of the desulfurization system. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of a scenario for analyzing the oxidation degree of desulfurization slurry disclosed in an embodiment of this application; Figure 2 This is a schematic flowchart of a desulfurization slurry oxidation degree analysis method disclosed in an embodiment of this application; Figure 3 This is another schematic flowchart of a method for analyzing the oxidation degree of desulfurization slurry disclosed in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a device provided in an embodiment of this application.

[0026] Explanation of reference numerals in the attached drawings: 401, Central Processing Unit; 402, Read-Only Memory; 403, Random Access Memory; 404, Bus; 405, Input / Output Interface; 406, Input Section; 407, Output Section; 408, Storage Section; 409, Communication Section; 310, Driver; 311, Removable Media. Detailed Implementation

[0027] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0028] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0029] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple system devices refer to two or more system devices, and multiple screen terminals refer to two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0030] To better understand the desulfurization slurry oxidation degree analysis method proposed in this invention, the slurry sampling and measurement device used in this method will first be described in detail. This device provides a stable and reliable data acquisition foundation for the implementation of the method of this invention and is the key physical carrier for achieving accurate and real-time analysis of the slurry oxidation degree.

[0031] Reference Figure 1 The method of this invention is applied to a standalone slurry sampling and measurement device designed to automatically and continuously acquire representative slurry samples from the main process of a desulfurization system, and to perform standardized preprocessing and simultaneous multi-parameter measurement. The device mainly includes sampling pipelines, a filtration assembly, an automatic flushing assembly, a return pipeline, and a temperature insulation assembly. These functional components work together to ensure the accuracy and real-time nature of the raw data required for subsequent analytical methods.

[0032] Specifically, the collaborative relationships between the components are as follows: Sampling and Transportation: The inlet of the sampling pipeline is directly connected to the spare port of the slurry pool in the desulfurization absorption tower or the outlet pipeline of the slurry circulation pump, thereby extracting real-time, representative desulfurization slurry. Under the action of system differential pressure or auxiliary pump, the slurry flows along the sampling pipeline, initiating the entire measurement process.

[0033] Sample pretreatment: Before entering the measurement stage, the desulfurization slurry first flows through a filtration assembly. This filtration assembly is equipped with a high-precision filter screen, which can effectively trap solid impurities and large suspended particles in the slurry. This not only prevents clogging and wear of the subsequent sensor probes, but also ensures that the slurry sample flowing into the measurement chamber has good fluidity and uniformity, creating the necessary conditions for accurate measurement.

[0034] Construction of the isothermal measurement environment: The filtered slurry sample is then placed into an isothermal measurement chamber enclosed by a temperature-insulating component. The core function of the temperature-insulating component is to actively regulate and maintain the temperature within the isothermal measurement chamber within a preset stable range (e.g., 25±2℃). By eliminating the interference of ambient temperature fluctuations on the measurement signal, a unified benchmark is provided for temperature compensation correction in subsequent analysis methods.

[0035] Multi-parameter synchronous detection: Inside the isothermal measurement chamber, a core detection unit—an integrated sensor—is deployed. This integrated sensor modularly integrates multiple electrochemical and optical sensors, including a platinum electrode sensor for measuring redox potential, a fluorescence dissolved oxygen sensor for measuring dissolved oxygen concentration, a corrosion-resistant glass electrode for measuring pH, and a sulfite ion-selective electrode for measuring sulfite concentration. As the slurry sample flows through the chamber, these sensors simultaneously perform real-time measurements, instantly acquiring multi-dimensional data including raw oxidation indicators (such as sulfite concentration, redox potential, and dissolved oxygen concentration) and interfering parameters (such as pH).

[0036] Cleaning and Maintenance: The automatic flushing component plays a crucial role in ensuring the long-term stable operation and measurement accuracy of the device. Under the control of a preset program, this component injects process water and other flushing media into the sampling pipeline and the constant temperature measurement chamber at regular intervals or as needed, powerfully flushing the inner walls of the pipeline and the surface of the sensor, effectively removing slurry residue and attached scale, and ensuring the cleanliness of the measurement system.

[0037] Waste liquid discharge: The slurry samples after measurement and the waste liquid generated by automatic rinsing are guided through the return pipeline and discharged into the ditch or other designated treatment facilities, realizing the closed loop of the measurement process and the cleanliness of the site environment.

[0038] This application provides a method for analyzing the oxidation degree of desulfurization slurry, referring to... Figure 2 , Figure 2 This is a flowchart illustrating a method for analyzing the oxidation degree of desulfurization slurry according to an embodiment of this application. The method is applied to a slurry sampling and measuring device, which can execute a desulfurization slurry oxidation degree analysis procedure. The method includes steps S201 to S207, as follows: Step S201: Obtain the detection index values ​​of the desulfurization slurry. The detection index values ​​include the original oxidation index and the interference parameter values. The original oxidation index includes sulfite concentration, redox potential and dissolved oxygen concentration. The interference parameter values ​​include temperature, pH value and density.

[0039] In step S201, the detection index values ​​refer to the set of raw data obtained directly by sensors to characterize the physicochemical properties of the desulfurization slurry. The raw oxidation indexes are a set of key parameters that directly reflect the oxidation-reduction reaction state of the slurry. Among these, sulfite concentration represents the content of sulfite ions in the slurry, oxidation-reduction potential represents the overall oxidation or reduction intensity of the slurry, and dissolved oxygen concentration refers to the content of oxygen molecules dissolved in the slurry. Interference parameter values ​​are a set of environmental and physical property parameters that can affect the accuracy of the raw oxidation index measurements or the true interpretation of the results. Among these, temperature represents the thermodynamic state of the slurry, pH value represents the acidity or alkalinity of the slurry, and density represents the solid content or consistency of the slurry.

[0040] Specifically, after the slurry sampling inlet valve is opened, the desulfurization slurry is drawn from the standby pipe of the slurry pool in the desulfurization absorption tower or the outlet pipe of the slurry circulation pump into the sampling pipeline, and flows through the filter assembly to remove solid impurities. The treated slurry sample enters a constant-temperature measurement chamber maintained within a preset reference temperature range by a temperature insulation component. The integrated sensors in the chamber begin to operate, including an ion-selective electrode to measure sulfite concentration, a platinum electrode sensor to measure redox potential, a fluorescence dissolved oxygen sensor to measure dissolved oxygen concentration, a corrosion-resistant glass electrode to measure pH value, a PT200 platinum resistance sensor to measure temperature, and a differential pressure density sensor to measure density. Each sensor converts physical or chemical quantities into electrical signals, which, after signal conditioning and analog-to-digital conversion, form digital detection index values. These values ​​are recorded and stored by the slurry sampling and measurement device with a preset timestamp, completing one full data acquisition cycle.

[0041] In one possible implementation, obtaining the detection index value of the desulfurization slurry specifically includes: extracting desulfurization slurry from the spare port of the slurry pool of the desulfurization absorption tower or the outlet pipe of the slurry circulation pump through a sampling pipeline; transporting the desulfurization slurry to a filter assembly for solid-liquid separation pretreatment, and using a filter screen with a pore size not larger than a preset filtration threshold to trap solid impurities in the desulfurization slurry; introducing the filtered slurry sample into a constant temperature measurement chamber covered by a temperature insulation component, and using the temperature insulation component to perform constant temperature regulation treatment on the slurry sample to stabilize the temperature of the slurry sample within a preset reference temperature range; and measuring the desulfurization slurry using an integrated sensor in the constant temperature measurement chamber to obtain the detection index value corresponding to the integrated sensor.

[0042] Specifically, the sampling pipe of the slurry sampling and measuring device is connected to the slurry pool of the desulfurization tower or the outlet pipe of the slurry circulation pump. Relying on the liquid level pressure of the desulfurization tower slurry pool or the outlet pressure of the slurry circulation pump, the desulfurization slurry overcomes the flow resistance of the sampling pipe, filter components, and subsequent processes, thus achieving gravity-flow transport of the desulfurization slurry without the need for an additional sampling pump. The sampling pipe is made of corrosion-resistant material to resist the chemical erosion of the desulfurization slurry, and the pipe diameter is determined according to the required sampling flow rate and slurry flow characteristics.

[0043] The slurry sampling and measuring device delivers the desulfurization slurry to a filter assembly for solid-liquid separation pretreatment. The filter assembly is located downstream of the sampling pipeline. The desulfurization slurry flows along the sampling pipeline to the filter assembly and then enters the filter assembly. The filter assembly contains a filter screen with a pore size no larger than a preset filtration threshold. This preset filtration threshold is determined based on the measurement requirements of the integrated sensor and the particle size distribution characteristics of the solid particles in the desulfurization slurry. As the desulfurization slurry flows through the filter screen, the screen traps solid impurities, including incompletely reacted limestone particles, generated gypsum crystals, and fly ash carried in the flue gas. The filter screen allows liquid components and dissolved substances in the desulfurization slurry to pass through, achieving solid-liquid separation pretreatment. This solid-liquid separation pretreatment removes solid impurities from the desulfurization slurry that may clog the pipeline or interfere with sensor measurements, improving the accuracy and stability of subsequent measurements. The filter assembly also works in conjunction with the automatic flushing assembly. When the solid impurities accumulated on the filter screen reach a certain level, the slurry sampling and measuring device injects flushing medium into the filter assembly through the automatic flushing assembly to perform reverse flushing of the filter screen, flushing the trapped solid impurities away from the surface of the filter screen and guiding them back to the desulfurization absorption tower through the return pipeline, thereby restoring the filter screen's filtration capacity.

[0044] The slurry sampling and measurement device introduces the filtered slurry sample into the measurement chamber. To prevent the slurry sample from excessively cooling or freezing due to ambient temperature during transport and measurement, a temperature insulation component is installed on the outside of the measurement chamber and the sampling pipeline connected to it. The temperature insulation component aims to maintain the temperature of the slurry sample inside the chamber through insulation and, if necessary, heat tracing. Specifically, this component may include passive insulation layers such as insulation cotton or an outer insulation panel wrapped around the chamber and pipeline to reduce heat loss. In operating conditions where low ambient temperatures may cause the slurry to freeze, the temperature insulation component may also include an active heat tracing device, such as electric heating tape or parallel steam heating pipes wrapped around the pipeline and chamber. This temperature insulation component ensures that the temperature of the slurry sample is always maintained above its freezing point, avoiding pipeline blockage or sensor damage caused by freezing. Simultaneously, the insulation measures effectively mitigate drastic fluctuations in slurry temperature caused by environmental factors, thereby providing a relatively stable measurement environment for the integrated sensor and contributing to improved reliability of the detection index values.

[0045] The slurry sampling and measurement device measures the desulfurization slurry to obtain detection index values ​​through integrated sensors within a constant-temperature measurement chamber. The integrated sensors are installed inside the chamber and are in direct contact with the slurry sample. These sensors include a platinum electrode sensor for measuring redox potential, a fluorescence-based dissolved oxygen sensor for measuring dissolved oxygen concentration, a corrosion-resistant glass electrode for measuring pH, and a sulfite ion-selective electrode for measuring sulfite concentration. The platinum electrode sensor is immersed in the slurry sample. Oxidizing and reducing substances in the slurry sample exchange electrons on the platinum electrode surface, and the sensor converts the resulting potential signal into a redox potential value. The fluorescence-based dissolved oxygen sensor probe is in contact with the slurry sample. The sensor emits excitation light of a specific wavelength to illuminate the fluorescent material on the probe surface. The interaction between dissolved oxygen in the slurry sample and the fluorescent material causes a change in fluorescence intensity, which the sensor then calculates based on this change in fluorescence intensity. A corrosion-resistant glass electrode is immersed in the slurry sample. Hydrogen ions in the slurry sample undergo ion exchange with the sensitive glass membrane on the surface of the corrosion-resistant glass electrode. The corrosion-resistant glass electrode converts the potential signal generated by the ion exchange into a pH value. A sulfite ion-selective electrode responds to sulfite ions in the slurry sample and outputs a corresponding potential signal. The device calculates the sulfite concentration based on the calibration relationship between this potential signal and the sulfite concentration. The isothermal measurement chamber also contains a temperature sensor and a density sensor. The temperature sensor measures the real-time temperature of the slurry sample, and the density sensor measures the real-time density of the slurry sample. The slurry sampling and measurement device also measures the sulfite concentration in the slurry sample using an ion-selective electrode. The ion-selective electrode responds to sulfite ions in the slurry sample and outputs a corresponding potential signal. The slurry sampling and measurement device calculates the sulfite concentration based on the calibration relationship between the potential signal and the sulfite concentration. The slurry sampling and measurement device uses sulfite concentration, redox potential, and dissolved oxygen concentration as primary oxidation indicators, and temperature, pH value, and density as interference parameters. The primary oxidation indicators and interference parameters together constitute the detection index value.

[0046] Step S202: Calculate the rate of change and fluctuation amplitude of each detection index value within a preset time window, and combine the rate of change and fluctuation amplitude into a working condition feature vector.

[0047] In step S202, the preset time window refers to a fixed duration, such as 5 minutes, set for dynamic feature analysis. The rate of change refers to the speed at which the detected index value changes over time, used to quantify the severity of the index change. The fluctuation amplitude refers to the difference between the maximum and minimum values ​​reached by the detected index value within the preset time window, used to quantify the range of index change. The operating condition feature vector is a multi-dimensional vector composed of the rates of change and fluctuation amplitudes of all detected index values ​​arranged in a predetermined order, used to comprehensively characterize the operating status characteristics of the desulfurization system within the preset time window.

[0048] Specifically, the slurry sampling and measuring device retrieves time-series data sequences of various detection index values ​​continuously collected within a preset time window. For each detection index value's time-series data sequence, the slurry sampling and measuring device first calculates the difference between adjacent sampling points using first-order difference, then divides this difference by the sampling interval to obtain the instantaneous rate of change sequence, and finally calculates the average value of this sequence, using this average value as the rate of change of the detection index value within the preset time window. Simultaneously, the slurry sampling and measuring device traverses the time-series data sequence, finds the maximum and minimum values, and calculates the difference between them, using this difference as the fluctuation amplitude of the detection index value. Finally, the slurry sampling and measuring device combines the calculated rates of change and fluctuation amplitudes of sulfite concentration, redox potential, dissolved oxygen concentration, temperature, pH, and density, according to a preset fixed order, into a one-dimensional array containing twelve elements; this array is the operating condition feature vector.

[0049] In one possible implementation, the rate of change and fluctuation amplitude of each detection index value within a preset time window are calculated, and the rate of change and fluctuation amplitude are combined into a working condition feature vector, specifically including steps S2021-S2025, as follows: Step S2021: Continuously collect the values ​​of each detection index at a preset sampling interval to obtain the time series data sequence of each detection index value within a preset time window.

[0050] In step S2021, the preset sampling interval refers to the time interval between two consecutive data collections of the detection index values ​​by the slurry sampling and measuring device. The preset sampling interval is determined based on the dynamic response characteristics and measurement accuracy requirements of the desulfurization system. The preset time window refers to a fixed time interval used by the slurry sampling and measuring device to statistically analyze the dynamic changes of each detection index value. The length of the preset time window is determined based on the control cycle and operating condition change frequency of the desulfurization system. The time-series data sequence refers to the numerical sequence formed by arranging each detection index value in the order of collection time. The time-series data sequence records the continuous change process of each detection index value within the preset time window.

[0051] Specifically, the slurry sampling and measuring device periodically collects values ​​of various detection indicators according to a preset sampling interval. At each sampling moment, the device simultaneously reads the current measured values ​​of sulfite concentration, redox potential, dissolved oxygen concentration, temperature, pH value, and density. The device adds a corresponding timestamp to each collected detection indicator value and stores it in the data buffer area. The device continues to perform the acquisition operation within the preset time window until the preset time window ends. The slurry sampling and measuring device reads the detection index values ​​of all sampling times within a preset time window from the data buffer area. The slurry sampling and measuring device arranges the sulfite concentration in the order of timestamps to form a sulfite concentration time series data sequence, arranges the oxidation-reduction potential in the order of timestamps to form an oxidation-reduction potential time series data sequence, arranges the dissolved oxygen concentration in the order of timestamps to form a dissolved oxygen concentration time series data sequence, arranges the temperature in the order of timestamps to form a temperature time series data sequence, arranges the pH value in the order of timestamps to form a pH value time series data sequence, and arranges the density in the order of timestamps to form a density time series data sequence, thus obtaining the time series data sequence of each detection index value within the preset time window.

[0052] Step S2022: Perform first-order difference operation on each time series data sequence to calculate the index change between adjacent sampling times, and divide each index change by the sampling interval to obtain the instantaneous change rate sequence of each detected index value.

[0053] In step S2022, the first-order difference operation refers to the mathematical operation method by which the slurry sampling and measuring device calculates the difference between the values ​​of two adjacent sampling points in the time-series data sequence. The index change refers to the magnitude of the change in the value of the detected index between two adjacent sampling times. The sampling interval duration refers to the time length corresponding to the preset sampling interval. The instantaneous rate of change sequence refers to the numerical sequence formed by arranging the rates of change of each detected index value between adjacent sampling times within a preset time window in chronological order.

[0054] Specifically, the slurry sampling and measuring device performs a first-order difference operation on each time-series data sequence. The device sequentially extracts the detection index values ​​at two adjacent sampling times from the time-series data sequence. It subtracts the detection index value at the previous sampling time from the value at the later sampling time to obtain the index change between adjacent sampling times. The device divides each index change by the sampling interval to obtain the instantaneous rate of change between adjacent sampling times. Finally, the device arranges all instantaneous rates of change in chronological order to form an instantaneous rate of change sequence. The slurry sampling and measuring device performs a first-order difference operation on the time-series data of sulfite concentration to obtain the instantaneous change rate sequence of sulfite concentration, a first-order difference operation on the time-series data of redox potential to obtain the instantaneous change rate sequence of redox potential, a first-order difference operation on the time-series data of dissolved oxygen concentration to obtain the instantaneous change rate sequence of dissolved oxygen concentration, a first-order difference operation on the time-series data of temperature to obtain the instantaneous change rate sequence of temperature, a first-order difference operation on the time-series data of pH value to obtain the instantaneous change rate sequence of pH value, and a first-order difference operation on the time-series data of density to obtain the instantaneous change rate sequence of density, thus obtaining the instantaneous change rate sequence of each detection index value.

[0055] Step S2023: Calculate the mean value for each instantaneous rate of change sequence, and use the mean value as the rate of change of each detection index value within a preset time window.

[0056] In step S2023, the mean refers to the arithmetic mean of all instantaneous rate of change values ​​in the instantaneous rate of change sequence. The rate of change refers to the average speed at which each detection index value changes over time within a preset time window. The sign of the rate of change indicates the increasing or decreasing trend of the detection index value, and the magnitude of the absolute value of the rate of change indicates the drastic degree of change in the detection index value.

[0057] Specifically, the slurry sampling and measuring device calculates the arithmetic mean for each instantaneous rate of change sequence. The device sums all the instantaneous rate of change values ​​in the sequence to obtain a total sum, and then divides this sum by the number of values ​​in the sequence to obtain the mean. This mean is used as the rate of change of the corresponding detection index value within a preset time window. For example, the device calculates the mean for the sulfite concentration instantaneous rate of change sequence, the redox potential instantaneous rate of change sequence, the dissolved oxygen concentration instantaneous rate of change sequence, the temperature instantaneous rate of change sequence, the pH value instantaneous rate of change sequence, and the density instantaneous rate of change sequence, using the mean as the rate of change of each detection index value within the preset time window.

[0058] Step S2024: Extract the maximum and minimum values ​​for each time series data sequence, calculate the difference between the maximum and minimum values, and use the difference as the fluctuation amplitude of each detection index value.

[0059] In step S2024, the maximum value refers to the sample point value with the largest numerical value in the time series data sequence. The minimum value refers to the sample point value with the smallest numerical value in the time series data sequence. The fluctuation amplitude refers to the difference between the maximum and minimum values ​​of each detection index value within a preset time window. The fluctuation amplitude reflects the dispersion and stability of the detection index values.

[0060] Specifically, the slurry sampling and measuring device performs extreme value extraction and difference calculation operations on each time series data sequence. The device iterates through all sampling point values ​​in the time series data sequence, identifying the sampling point with the largest value as the maximum value and the sampling point with the smallest value as the minimum value. The device then subtracts the minimum value from the maximum value to obtain the difference, which is used as the fluctuation amplitude of the corresponding detection index value. The slurry sampling and measuring device extracts the maximum and minimum values ​​of sulfite concentration from the time-series data and calculates the difference to obtain the sulfite concentration fluctuation amplitude; extracts the maximum and minimum values ​​of redox potential from the time-series data and calculates the difference to obtain the redox potential fluctuation amplitude; extracts the maximum and minimum values ​​of dissolved oxygen concentration from the time-series data and calculates the difference to obtain the dissolved oxygen concentration fluctuation amplitude; extracts the maximum and minimum values ​​of temperature from the time-series data and calculates the difference to obtain the temperature fluctuation amplitude; extracts the maximum and minimum values ​​of pH value from the time-series data and calculates the difference to obtain the pH value fluctuation amplitude; and extracts the maximum and minimum values ​​of density from the time-series data and calculates the difference to obtain the density fluctuation amplitude. The difference is used as the fluctuation amplitude of each detection index value.

[0061] Step S2025: Arrange and combine the change rate and fluctuation amplitude corresponding to each detection index value in a preset order to form a working condition feature vector.

[0062] In step S2025, the preset order refers to the arrangement of the various rates of change and fluctuation amplitudes in the operating condition feature vector, which is pre-set by the slurry sampling and measuring device. The operating condition feature vector is a multi-dimensional numerical vector formed by arranging and combining the rates of change and fluctuation amplitudes of various detection index values ​​in a preset order. The operating condition feature vector is used to characterize the current operating status of the desulfurization system.

[0063] Specifically, the slurry sampling and measuring device arranges the change rates and fluctuation amplitudes corresponding to each detection index value in a preset order. The device sequentially reads the sulfite concentration change rate, sulfite concentration fluctuation amplitude, redox potential change rate, redox potential fluctuation amplitude, dissolved oxygen concentration change rate, dissolved oxygen concentration fluctuation amplitude, temperature change rate, temperature fluctuation amplitude, pH value change rate, pH value fluctuation amplitude, density change rate, and density fluctuation amplitude. The device then arranges these twelve values ​​in the reading order to form a twelve-dimensional operating condition feature vector. This operating condition feature vector is stored in a data cache area for subsequent reading and analysis, thus constituting the operating condition feature vector.

[0064] Step S203: Based on the operating condition feature vector, determine whether the current desulfurization system is in a quasi-steady-state operating cycle or a dynamic disturbance cycle.

[0065] In step S203, the quasi-steady-state operating cycle refers to a state in which the various operating parameters of the desulfurization system change gradually within a preset time window, and the system is in a relatively stable operating state. The dynamic disturbance cycle refers to a state in which the operating parameters of the desulfurization system change significantly and rapidly due to load adjustments, material replenishment, etc., and the system is in an unstable transition state.

[0066] Specifically, the slurry sampling and measuring device first extracts the change rates and fluctuation amplitudes of the original oxidation indicators—sulfite concentration, redox potential, and dissolved oxygen concentration—from the operating condition feature vector generated in step S202. The device then weights and sums the change rates of these three original oxidation indicators according to preset weighting coefficients to obtain a comprehensive weighted change index. Simultaneously, the device normalizes the fluctuation amplitudes of these three original oxidation indicators and calculates their average value to obtain a normalized fluctuation intensity index. Next, the device weights and fuses the weighted change index and the normalized fluctuation intensity index again to calculate an operating state determination index that comprehensively reflects system stability. Finally, the device compares this operating state determination index with a preset steady-state threshold. If the operating state determination index is less than the steady-state threshold, the device determines that the current desulfurization system is in a quasi-steady-state operating cycle; if the operating state determination index is greater than or equal to the steady-state threshold, the device determines that the current desulfurization system is in a dynamic disturbance cycle.

[0067] In one possible implementation, based on the operating condition feature vector, it is determined whether the current desulfurization system is in a quasi-steady-state operating cycle or a dynamic disturbance cycle, specifically including steps S2031-S2035, as follows: Step S2031: Extract the rate of change corresponding to each original oxidation index from the working condition feature vector, and calculate the weighted change index of the rate of change.

[0068] In step S2031, the weighted change index is a comprehensive index obtained by weighting and summing the change rates of each original oxidation index according to their weight in reflecting the stability of the system. It is used to quantify the overall trend and severity of the system change.

[0069] Specifically, the slurry sampling and measuring device first accesses the generated operating condition feature vector and locates and extracts the change rate values ​​corresponding to the three original oxidation indicators: sulfite concentration, redox potential, and dissolved oxygen concentration. The device then performs a weighted sum of the absolute values ​​of these three change rates based on pre-set weighting coefficients. These weighting coefficients are set according to the differences in the sensitivity of different indicators to changes in operating conditions; for example, the weight of redox potential may be set relatively high. The calculation formula is: Weighted Change Index = Weighting Coefficient 1 × |Sulfite Concentration Change Rate| + Weighting Coefficient 2 × |Redox Potential Change Rate| + Weighting Coefficient 3 × |Dissolved Oxygen Concentration Change Rate|. The calculated result is the weighted change index.

[0070] Step S2032: Extract the fluctuation amplitude corresponding to each original oxidation index from the working condition feature vector, and calculate the normalized fluctuation intensity index of the fluctuation amplitude.

[0071] In step S2032, the normalized fluctuation intensity index is an index obtained by dimensionlessly processing and comprehensively calculating the fluctuation amplitude of each original oxidation index. It is used to characterize the overall fluctuation amplitude of the system within a preset time window, eliminating the influence of the difference in dimensions of different indices.

[0072] Specifically, the slurry sampling and measuring device extracts the fluctuation amplitudes corresponding to sulfite concentration, redox potential, and dissolved oxygen concentration from the operating condition characteristic vector. Since these three fluctuation amplitudes have different units and numerical ranges, the slurry sampling and measuring device first normalizes each fluctuation amplitude, for example, using a maximum-minimum normalization method to scale each fluctuation amplitude to the range of 0 to 1. The normalization formula is: Normalized value = (Current fluctuation amplitude - Historical minimum fluctuation amplitude) ÷ (Historical maximum fluctuation amplitude - Historical minimum fluctuation amplitude). Then, the slurry sampling and measuring device calculates the arithmetic mean of these three normalized values, and the result is the normalized fluctuation intensity index.

[0073] Step S2033: The weighted change index and the normalized fluctuation intensity index are weighted and fused to obtain the operating status judgment index.

[0074] In step S2033, the operating status judgment index refers to the final evaluation score that integrates the system change rate and fluctuation range, and is used to uniquely and comprehensively characterize the stability of the current desulfurization system.

[0075] Specifically, the slurry sampling and measuring device performs a second weighted summation of the weighted change index calculated in step S2031 and the normalized fluctuation intensity index calculated in step S2032. This weighting coefficient reflects the relative importance of the rate of change and fluctuation amplitude in determining the system's operating condition. For example, the system may be more sensitive to rapid but small changes than to slow but large changes. The calculation formula is: Operating Condition Determination Index = Fusion Weight A × Weighted Change Index + Fusion Weight B × Normalized Fluctuation Intensity Index. The final calculated value is the Operating Condition Determination Index.

[0076] Step S2034: If the operating status judgment index is less than the preset steady-state threshold, the current desulfurization system is determined to be in a quasi-steady-state operating cycle.

[0077] In step S2034, the preset steady-state threshold is a pre-set critical value used to distinguish whether the system is in a steady state or a disturbed state.

[0078] Specifically, the slurry sampling and measuring device compares the operating status judgment index calculated in step S2033 with a fixed value stored in the slurry sampling and measuring device, which is set through analysis of a large amount of historical data or expert experience, i.e., a preset steady-state threshold. If the value of the operating status judgment index is less than the preset steady-state threshold, the slurry sampling and measuring device makes a judgment that the current desulfurization system is operating smoothly and is in a quasi-steady-state operating cycle, and records this result in the internal status flag.

[0079] Step S2035: If the operating status judgment index is greater than or equal to the preset steady-state threshold, then the current desulfurization system is determined to be in a dynamic disturbance cycle.

[0080] Specifically, the slurry sampling and measuring device compares the operating state determination index calculated in step S2033 with a preset steady-state threshold. If the value of the operating state determination index is greater than or equal to the preset steady-state threshold, the slurry sampling and measuring device determines that the current desulfurization system is experiencing significant operating condition fluctuations and is in a dynamic disturbance cycle. The slurry sampling and measuring device then updates its internal status flag to the dynamic disturbance state and triggers the subsequent dynamic disturbance type identification and correction process.

[0081] Step S204: If it is determined that the current desulfurization system is in a quasi-steady-state operation cycle, the original oxidation index is compensated and corrected using the interference parameter value to obtain the corrected oxidation index.

[0082] In step S204, compensation correction refers to the process of correcting the measurement deviation of the original oxidation index using mathematical models or empirical formulas based on the real-time measured interference parameter values. The corrected oxidation index refers to the index value that, after compensation correction, can more accurately reflect the true oxidation state of the slurry.

[0083] Specifically, when the slurry sampling and measuring device determines that the system is in a quasi-steady-state operating cycle, it initiates a steady-state correction procedure. The device retrieves the current disturbance parameter values—temperature, pH, and density—as well as the original oxidation index values ​​at the same time. These values ​​are then substituted into a pre-stored static compensation correction equation based on mechanistic analysis and historical data regression. For example, the device might use a multivariate nonlinear regression equation, with the original sulfite concentration, temperature, and pH as inputs and the compensated sulfite concentration as the output. Similarly, the device performs similar operations on the redox potential and dissolved oxygen concentration, calculating the corrected redox potential and dissolved oxygen concentration using their respective compensation correction equations and related disturbance parameter values. These three corrected indices together constitute the corrected oxidation index.

[0084] Step S205: If it is determined that the current desulfurization system is in a dynamic disturbance cycle, then determine the index value correction model corresponding to the dynamic disturbance cycle, and input the original oxidation index into the index value correction model to obtain the corrected oxidation index.

[0085] In step S205, the index value correction model refers to an algorithm model specifically designed to correct data under dynamic disturbance conditions. This model is usually time-varying or capable of handling time-series characteristics.

[0086] Specifically, when the slurry sampling and measuring device determines that the system is in a dynamic disturbance cycle, it initiates a dynamic correction procedure. First, based on the feature combinations in the operating condition feature vector, the slurry sampling and measuring device uses a pre-set classifier, such as a decision tree or support vector machine, to identify the specific disturbance type of the current dynamic disturbance cycle, for example, load increase disturbance, load decrease disturbance, slurry replenishment disturbance, or oxidation airflow adjustment disturbance. According to the identified disturbance type, the slurry sampling and measuring device retrieves and calls a matching index value correction model from a pre-set dynamic correction model library. This model is a time-varying parameter regression model, such as a BP neural network or recurrent neural network model, trained based on a large amount of historical data on similar disturbance conditions. Subsequently, the slurry sampling and measuring device uses the original oxidation index value measured at the current moment as the main input to the model, and simultaneously extracts the rate of change of the original oxidation index from the operating condition feature vector as an auxiliary input feature of the model. After receiving the input, the model calculates a dynamic hysteresis compensation amount, which is used to offset the measurement deviation caused by the system's dynamic response delay. Finally, the slurry sampling and measuring device superimposes the calculated dynamic hysteresis compensation onto the current measured value of the original oxidation index to obtain the corrected oxidation index.

[0087] In one possible implementation, a correction model for the index value corresponding to the dynamic disturbance period is determined, and the original oxidation index is input into the correction model to obtain the corrected oxidation index. This specifically includes steps S2051-S2054, as follows: Step S2051: Based on the operating condition feature vector, identify the disturbance type of the dynamic disturbance cycle. The disturbance types include load increase disturbance, load decrease disturbance, slurry replenishment disturbance, and oxidation air volume adjustment disturbance.

[0088] In step S2051, the disturbance type refers to the qualitative classification of the specific reasons that cause the desulfurization system to enter a dynamic disturbance cycle, which is used to identify the specific unsteady state that the system is currently experiencing.

[0089] Specifically, when the slurry sampling and measurement device determines that the system has entered a dynamic disturbance cycle, it inputs the generated operating condition feature vector into a pre-trained operating condition classifier, such as a support vector machine classifier or a decision tree classifier. This classifier learns the unique patterns exhibited by the operating condition feature vectors under different disturbance types based on a large amount of historical data. For example, load increase disturbances are typically characterized by a significantly negative pH change rate and a significantly positive sulfite concentration change rate; while slurry replenishment disturbances may manifest as positive step changes in both density and pH. The operating condition classifier analyzes the magnitude and sign relationship of each element in the current operating condition feature vector, matches it with the learned patterns, and finally outputs the most matching disturbance type label, such as identifying the current disturbance as a load increase disturbance.

[0090] Step S2052: Based on the disturbance type, retrieve the index value correction model that matches the disturbance type from the preset dynamic correction model library. The index value correction model is a time-varying parameter regression model trained based on historical dynamic disturbance working condition data.

[0091] In step S2052, the preset dynamic correction model library refers to a collection that stores multiple correction algorithms independently trained for different types of disturbances. The index value correction model refers to a specific mathematical model selected from the preset dynamic correction model library, specifically designed to handle the currently identified disturbance type. The time-varying parameter regression model refers to a complex regression model that can adjust its parameters according to the dynamic changes in the input data to adapt to the time-varying behavior of the system, such as a BP neural network or a recurrent neural network.

[0092] Specifically, the slurry sampling and measurement device uses the disturbance type identified in step S2051, such as a load increase disturbance, as a search keyword. The device accesses a pre-stored dynamic correction model library, which contains one or more corresponding index value correction models for each predefined disturbance type. Through keyword matching, the device locates and loads the specific index value correction model associated with the load increase disturbance from the library. This loaded index value correction model was previously trained offline using a large amount of historical sensor data and laboratory calibration data under load increase conditions, and already possesses the ability to fit the measurement deviation under this specific disturbance scenario.

[0093] Step S2053: Extract the rate of change of each original oxidation index from the working condition feature vector as an auxiliary input feature of the index value correction model, and input the rate of change and the current measured value of the original oxidation index into the index value correction model.

[0094] In step S2053, auxiliary input features refer to additional input data that can provide the model with more information about the dynamic process of the system, in addition to the current sensor readings. Here, it specifically refers to the rate of change of the original oxidation index.

[0095] Specifically, the slurry sampling and measuring device first acquires the current measured values ​​of the original oxidation indicators, namely, the instantaneous readings of sulfite concentration, redox potential, and dissolved oxygen concentration. Simultaneously, the slurry sampling and measuring device accurately extracts the rate of change values ​​corresponding to these three original oxidation indicators from the previously calculated operating condition feature vector. Then, the slurry sampling and measuring device uses the current measured values ​​of the original oxidation indicators as the main input and the corresponding rate of change as the auxiliary input feature. Following the input format preset by the indicator value correction model, the device combines these two sets of data into an input vector and completely transmits this input vector to the indicator value correction model loaded in step S2052 to initiate the correction calculation.

[0096] Step S2054: Calculate the dynamic lag compensation amount based on the current measured value and rate of change of the original oxidation index using the index value correction model, and then add the dynamic lag compensation amount to the current measured value of the original oxidation index to obtain the corrected oxidation index.

[0097] In step S2054, the dynamic hysteresis compensation amount refers to a correction value calculated by the index value correction model, which is used to compensate for the deviation between the measured value and the true value caused by the sensor response delay or the hysteresis of the system's physical and chemical reaction during the dynamic disturbance process.

[0098] Specifically, the invoked index correction model, such as a BP neural network model, receives an input vector containing the current measurement value and rate of change of the original oxidation index. The neural network within the model then begins forward propagation calculations. Using weights and bias parameters learned through training on historical data, the model performs a series of nonlinear transformations on the input data, comprehensively considering the current level and trend of the index, and ultimately calculates a dynamic hysteresis compensation. This dynamic hysteresis compensation can be positive or negative, and its magnitude and sign depend on the severity and direction of the disturbance. Finally, the slurry sampling and measurement device adds the dynamic hysteresis compensation output by the model to the current measurement value of the original oxidation index. The resulting sum is the corrected oxidation index that more accurately reflects the true state of the system.

[0099] Step S206: Determine the degree of oxidation of the desulfurization slurry based on the modified oxidation index.

[0100] In step S206, the degree of oxidation refers to the qualitative or grading evaluation result of the current oxidation state of the desulfurization slurry.

[0101] Specifically, the slurry sampling and measuring device uses the corrected oxidation indices obtained in step S204 or S205—namely, the corrected sulfite concentration, the corrected redox potential, and the corrected dissolved oxygen concentration—as a three-dimensional coordinate point. The device maps this coordinate point to a pre-constructed three-dimensional oxidation state space. This space is divided into insufficient oxidation regions, normal oxidation regions, and excessive oxidation regions by multiple partition boundary surfaces. The device determines the region where the coordinate point falls. If the coordinate point is in the insufficient oxidation region, the device determines the oxidation level of the desulfurization slurry to be insufficient. If the coordinate point is in the normal oxidation region, the device determines the oxidation level of the desulfurization slurry to be normal. If the coordinate point is in the excessive oxidation region, it is determined to be excessively oxidized. Furthermore, if the coordinate point falls within a preset neighborhood near any partition boundary surface, the device determines the desulfurization slurry is in a critical oxidation state. The final determination result, such as normal oxidation, will be displayed as the basis for system control.

[0102] In one possible implementation, the degree of oxidation of the desulfurization slurry is determined based on a modified oxidation index, specifically including steps S2061-S2067, as follows: Step S2061: Construct a three-dimensional oxidation state space, using the corrected sulfite concentration as the main criterion and the corrected redox potential and corrected dissolved oxygen concentration as auxiliary criterions.

[0103] In step S2061, the primary judgment index refers to the core index that plays a decisive role in determining the degree of oxidation. The auxiliary judgment index refers to secondary indexes used to supplement and correct the judgment results of the primary judgment index. The three-dimensional oxidation state space refers to a mathematical model space constructed using three corrected oxidation indices as coordinate axes, used to intuitively represent and analyze the comprehensive oxidation state of the desulfurization slurry.

[0104] Specifically, the slurry sampling and measuring device defines three interrelated indicators—corrected sulfite concentration, corrected redox potential, and corrected dissolved oxygen concentration—as the X, Y, and Z axes of a three-dimensional Cartesian coordinate system, respectively. In this way, the slurry sampling and measuring device logically constructs a three-dimensional oxidation state space. Within this space, any specific set of corrected oxidation indicator values ​​uniquely corresponds to a point within the space, and the coordinates of that point are the values ​​of the three indicators.

[0105] Step S2062: In the three-dimensional oxidation state space, establish a partition boundary surface for the degree of oxidation. The partition boundary surface divides the three-dimensional oxidation state space into an under-oxidized region, a normally oxidized region, and an over-oxidized region.

[0106] In step S2062, the partition boundary surface refers to the mathematical function surface used to separate regions with different oxidation degrees in the three-dimensional oxidation state space. The under-oxidized region, the normally oxidized region, and the over-oxidized region refer to the subspaces in the three-dimensional oxidation state space that represent three typical oxidation degrees, respectively, based on a large amount of historical data and process mechanisms.

[0107] Specifically, the slurry sampling and measurement device pre-stores mathematical equations defining the boundary surfaces of different zones. These equations, obtained through cluster analysis or machine learning modeling of historical operating data, accurately describe the transition boundaries between different oxidation states. For example, the boundary between insufficient oxidation and normal oxidation might be a complex surface equation that integrates states where sulfite concentration is above a certain threshold while redox potential and dissolved oxygen concentration are below corresponding thresholds. Using these pre-defined equations, the slurry sampling and measurement device logically divides the entire three-dimensional oxidation state space into three non-overlapping core regions.

[0108] Step S2063: Map the modified oxidation index to the corresponding coordinate point in the three-dimensional oxidation state space.

[0109] Specifically, the slurry sampling and measuring device acquires the currently calculated corrected sulfite concentration, corrected redox potential, and corrected dissolved oxygen concentration. The slurry sampling and measuring device combines these three values ​​as an ordered number, for example, (corrected sulfite concentration, corrected redox potential, corrected dissolved oxygen concentration), and this combination represents the coordinates of the current slurry state in the three-dimensional oxidation state space.

[0110] Step S2064: If the coordinate point is located in the insufficient oxidation region, the oxidation degree of the desulfurization slurry is determined to be insufficient.

[0111] Specifically, the slurry sampling and measuring device substitutes the coordinate point obtained in step S2063 into the mathematical equation that defines the boundary of the insufficient oxidation region for verification. If the verification result shows that the coordinate point is located inside the insufficient oxidation region surrounded by the partition boundary surface, the slurry sampling and measuring device determines the current oxidation level as insufficient oxidation and outputs the determination result.

[0112] Step S2065: If the coordinate point is located in the normal oxidation area, the oxidation degree of the desulfurization slurry is determined to be normal.

[0113] Specifically, the slurry sampling and measuring device substitutes the coordinate point into the mathematical equation that defines the boundary of the normal oxidation region for verification. If the verification result shows that the coordinate point is located inside the normal oxidation region defined by the partition boundary surface, the slurry sampling and measuring device determines the current oxidation level as normal and outputs the determination result.

[0114] Step S2066: If the coordinate point is located in the over-oxidation region, the oxidation degree of the desulfurization slurry is determined to be over-oxidation.

[0115] Specifically, the slurry sampling and measuring device substitutes the coordinate point into the mathematical equation that defines the boundary of the over-oxidation region for verification. If the verification result shows that the coordinate point is located inside the over-oxidation region defined by the partition boundary surface, the slurry sampling and measuring device determines the current oxidation level as over-oxidation and outputs the determination result.

[0116] Step S2067: If the coordinate point is located within the preset neighborhood of the partition boundary surface of the adjacent region, the desulfurization slurry is determined to be in the critical oxidation state.

[0117] In step S2067, the preset neighborhood range refers to a very small buffer space surrounding the boundary surface of the partition, the thickness of which is defined by a preset distance value. The oxidation critical state refers to the state where the oxidation degree of the desulfurization slurry is on the verge of transitioning from one state to another, and the state is unstable.

[0118] Specifically, after determining the region, the slurry sampling and measuring device additionally calculates the vertical distance from the coordinate point to the nearest zone boundary surface. The device compares this calculated distance to a pre-set, very small distance threshold. If the calculated distance is less than this threshold, it means the coordinate point is very close to the boundary between two regions. In this case, the device overturns the previous single-region determination and instead classifies the current oxidation level as a critical oxidation state. For example, if the coordinate point is located in a normally oxidized region but is very close to the boundary of a poorly oxidized region, the system classifies it as a critical state of normal oxidation.

[0119] Step S207: Adjust the frequency of the frequency converter or the opening of the inlet guide vane of the oxidation fan connected to the desulfurization absorption tower based on the oxidation degree, so as to adjust the oxidation air volume supplied to the desulfurization absorption tower.

[0120] In step S207, the oxidation blower refers to the power equipment used to force the supply of oxidizing air into the desulfurization absorption tower to promote the oxidation of sulfites. The frequency converter frequency refers to the electrical parameter that controls the speed of the oxidation blower motor. The speed of the oxidation blower can be directly changed by adjusting the frequency converter frequency. The inlet guide vane opening refers to the mechanical parameter that adjusts the angle of the guide vanes at the inlet of the oxidation blower. The air volume is adjusted by changing the angle at which the airflow enters the impeller. The oxidation air volume represents the volumetric flow rate of air supplied to the desulfurization absorption tower for forced oxidation of the slurry per unit time.

[0121] Specifically, the slurry sampling and measuring device compares the real-time oxidation level obtained in the aforementioned steps with the system's preset oxidation target range to determine whether the current oxidation airflow is appropriate. If the slurry sampling and measuring device determines that the current oxidation level is below the lower limit of the oxidation target range, it indicates a risk of insufficient oxidation in the desulfurization slurry, which may lead to excessive sulfite content and system scaling. In this case, the slurry sampling and measuring device will generate an airflow increase command. This airflow increase command is sent to the distributed control system (DCS) associated with the oxidation blower to increase the oxidation airflow supplied to the desulfurization absorption tower. The method for increasing the oxidation airflow is as follows: for oxidation blowers equipped with frequency converters, the slurry sampling and measuring device instructs the frequency converter to increase the output frequency, thereby increasing the rotational speed of the oxidation blower; for oxidation blowers equipped with inlet guide vanes, the slurry sampling and measuring device instructs the actuator to increase the opening of the inlet guide vanes. Conversely, if the slurry sampling and measuring device determines that the current oxidation level is higher than the upper limit of the oxidation target range, it indicates the presence of over-oxidation, which will cause unnecessary energy waste in the oxidation blower and may increase the difficulty of treating desulfurization wastewater. The slurry sampling and measuring device will then generate a reduction command. This reduction command is used to decrease the oxidation air volume supplied to the desulfurization absorption tower. Specifically, it instructs the frequency converter to reduce its output frequency or instructs the actuator to reduce the opening of the inlet guide vanes. If the current oxidation level is within the oxidation target range, it indicates a good oxidation reaction, and the slurry sampling and measuring device maintains the current operating parameters of the oxidation blower unchanged.

[0122] like Figure 3 As shown, in one possible implementation, the method further includes steps S301-S303, which are as follows: Step S301: Inject flushing medium into the sampling pipeline and the constant temperature measurement chamber through the automatic flushing assembly to flush and clean the inner wall of the pipeline and the surface of the sensor.

[0123] In step S301, the rinsing medium refers to the fluid used for cleaning, typically industrial water or a specific weakly acidic cleaning solution.

[0124] Specifically, the slurry sampling and measuring device automatically sends a start command to the automatic flushing component according to a preset timing program or after each measurement cycle. Upon receiving the command, the solenoid valve in the automatic flushing component opens, the water pump starts, and the flushing medium is pressurized and pumped out from the storage tank or water source. The flushing medium is first injected into the sampling pipeline and flows through the entire pipeline at a certain flow rate, using the impact force of the water flow to peel off the gypsum scale and residual slurry adhering to the inner wall of the pipeline. Subsequently, the flushing medium carrying impurities enters the constant temperature measuring chamber, thoroughly flushing the inner wall of the chamber and the surface of the sensitive probe of the integrated sensor, dissolving and removing the contaminant layer that may affect the sensor response, thereby completing the physical and chemical cleaning of the entire measuring flow path.

[0125] Step S302: The measured slurry sample and rinsing waste liquid are introduced into the ditch through the return pipeline.

[0126] In step S302, the return pipeline refers to the dedicated pipeline connecting the outlet of the constant temperature measurement chamber to the sewage system. The slurry sample refers to the portion of desulfurization slurry that remains in the constant temperature measurement chamber after measurement. The flushing waste liquid refers to the used flushing medium mixed with residual slurry, gypsum scale, and other contaminants. The drain refers to the designated discharge channel within the factory used for collecting and treating industrial wastewater.

[0127] Specifically, after the measurement task is completed or the rinsing process is finished, the slurry sampling and measuring device sends a command to open the drain valve located at the bottom of the constant-temperature measuring chamber. Under the action of gravity and subsequent fluid pressure, the measured slurry sample or rinsing waste liquid in the chamber flows smoothly into the return pipeline. The return pipeline is designed with a suitable slope to ensure that the waste liquid can flow smoothly by gravity and eventually be discharged into a designated ditch for subsequent centralized treatment, thereby avoiding pollution of the measurement environment by the waste liquid and preparing for the next sampling measurement.

[0128] Step S303: Monitor the response characteristic parameters of the integrated sensor. When the response characteristic parameters deviate from the preset standard response range, increase the rinsing frequency or extend the rinsing time to restore the measurement accuracy of the integrated sensor.

[0129] In step S303, the response characteristic parameters refer to a set of key indicators used to evaluate the performance status of the sensor, such as response time, zero-point drift rate, and slope. The preset standard response range refers to the normal range of values ​​that the response characteristic parameters should fall within when the sensor is in a clean and calibrated state.

[0130] Specifically, the slurry sampling and measuring device continuously monitors the response characteristics of the integrated sensor before and after each measurement or during a dedicated diagnostic cycle. For example, the device records the time required for the sensor reading to change from one stable value to another as the response time. The device continuously compares the real-time monitored response characteristics with a pre-stored preset standard response range. If the device detects a significantly longer response time or a noticeable drift in the sensor's zero-point reading, exceeding the preset standard response range, it determines that contamination or scaling exists on the sensor surface, affecting its measurement performance. In this case, the device automatically adjusts its flushing strategy, for example, increasing the flushing frequency from once every 4 hours to once every 2 hours, or extending the flushing duration from 3 minutes to 5 minutes. By implementing this enhanced flushing strategy, more frequent or longer flushing can more effectively remove stubborn dirt, thereby bringing the sensor's response characteristics back to the preset standard response range and restoring its proper measurement accuracy.

[0131] The following describes a desulfurization slurry oxidation degree analysis device from the perspective of hardware processing in an embodiment of this invention. Please refer to [link / reference]. Figure 4 This is a schematic diagram of a desulfurization slurry oxidation degree analysis device in an embodiment of this application.

[0132] It should be noted that, Figure 4 The structure of the desulfurization slurry oxidation degree analysis device shown is merely an example and should not impose any limitation on the function and scope of use of the embodiments of the present invention.

[0133] like Figure 4 As shown, a desulfurization slurry oxidation degree analysis device includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage section 408 into a random access memory (RAM) 403, such as performing the methods described in the above embodiments. The RAM 403 also stores various programs and data required for device operation. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0134] The following components are connected to I / O interface 405: input section 406 including audio input devices, push-button switches, etc.; output section 407 including a liquid crystal display (LCD) and audio output devices, indicator lights, etc.; storage section 408 including a hard disk, etc.; and communication section 409 including a network interface card such as a LAN (Local Area Network) card, modem, etc. Communication section 409 performs communication processing via a network such as the Internet. Drive 310 is also connected to I / O interface 405 as needed. Removable media 311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 408 as needed.

[0135] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 401, it performs the various functions defined in the present invention.

[0136] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0137] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those shown in the drawings.

[0138] Specifically, the desulfurization slurry oxidation degree analysis device of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, it implements the desulfurization slurry oxidation degree analysis method provided in the above embodiment.

[0139] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the desulfurization slurry oxidation degree analysis device described in the above embodiments; or it may exist independently and not assembled into the desulfurization slurry oxidation degree analysis device. The storage medium carries one or more computer programs, which, when executed by a processor of the desulfurization slurry oxidation degree analysis device, cause the desulfurization slurry oxidation degree analysis device to implement the desulfurization slurry oxidation degree analysis method based on IoT data encrypted transmission provided in the above embodiments.

Claims

1. A method for analyzing the degree of oxidation of desulfurization slurry, characterized in that, The method is applied to a slurry sampling and measuring device, which includes a sampling pipeline, a filter assembly, an automatic flushing assembly, a reflux pipeline, and a temperature insulation assembly. The inlet end of the sampling pipeline is connected to the spare port of the slurry pool in the desulfurization absorption tower or the outlet pipeline of the slurry circulation pump. The desulfurization slurry flows along the sampling pipeline to the filter assembly and enters the constant temperature measuring chamber enclosed by the temperature insulation assembly. The constant temperature measuring chamber includes integrated sensors, including a platinum electrode sensor for measuring redox potential, a fluorescence dissolved oxygen sensor for measuring dissolved oxygen concentration, a corrosion-resistant glass electrode for measuring pH value, and a sulfite ion selective electrode for measuring sulfite concentration. The method includes: The detection index values ​​of the desulfurization slurry are obtained. The detection index values ​​include the original oxidation index and the interference parameter values. The original oxidation index includes sulfite concentration, redox potential and dissolved oxygen concentration. The interference parameter values ​​include temperature, pH value and density. Calculate the rate of change and fluctuation amplitude of each of the detection index values ​​within a preset time window, and combine the rate of change and the fluctuation amplitude into a working condition feature vector; Based on the operating condition feature vector, it is determined whether the current desulfurization system is in a quasi-steady-state operating cycle or a dynamic disturbance cycle. If it is determined that the current desulfurization system is in a quasi-steady-state operation cycle, the original oxidation index is compensated and corrected using the interference parameter value to obtain the corrected oxidation index; If it is determined that the current desulfurization system is in a dynamic disturbance cycle, then the index value correction model corresponding to the dynamic disturbance cycle is determined, and the original oxidation index is input into the index value correction model to obtain the corrected oxidation index; The degree of oxidation of the desulfurization slurry is determined based on the modified oxidation index. The frequency of the frequency converter or the opening of the inlet guide vanes of the oxidation fan connected to the desulfurization absorption tower are adjusted based on the degree of oxidation to adjust the amount of oxidation air supplied to the desulfurization absorption tower.

2. The method according to claim 1, characterized in that, The acquisition of the detection index values ​​of the desulfurization slurry specifically includes: Desulfurization slurry is extracted from the spare port of the slurry pool or the outlet pipe of the slurry circulation pump of the desulfurization absorption tower through the sampling pipeline. The desulfurization slurry is transported to the filter assembly for solid-liquid separation pretreatment, and solid impurities in the desulfurization slurry are intercepted by the filter screen in the filter assembly with a pore size not greater than a preset filtration threshold. The filtered slurry sample is introduced into the constant temperature measurement chamber covered by the temperature insulation component. The temperature insulation component is used to perform constant temperature regulation on the slurry sample to stabilize the temperature of the slurry sample within a preset reference temperature range. The desulfurization slurry is measured by an integrated sensor inside the constant temperature measurement chamber, and the corresponding detection index value of the integrated sensor is obtained.

3. The method according to claim 1, characterized in that, The calculation of the rate of change and fluctuation amplitude of each of the detected index values ​​within a preset time window, and the combination of the rate of change and the fluctuation amplitude into a working condition feature vector, specifically includes: The values ​​of each detection index are continuously collected at a preset sampling interval to obtain the time-series data sequence of each detection index value within the preset time window; Perform a first-order difference operation on each of the time-series data sequences to calculate the index change between adjacent sampling times, and divide each index change by the sampling interval duration to obtain the instantaneous change rate sequence of each of the detection index values. Calculate the mean value for each instantaneous rate of change sequence, and use the mean value as the rate of change of each detection index value within the preset time window; The maximum and minimum values ​​are extracted from each of the time-series data sequences, the difference between the maximum and minimum values ​​is calculated, and the difference is used as the fluctuation amplitude of each of the detection index values. The change rate and fluctuation amplitude corresponding to each of the detection index values ​​are arranged and combined in a preset order to form the working condition feature vector.

4. The method according to claim 1, characterized in that, The step of determining the index value correction model corresponding to the dynamic disturbance period and inputting the original oxidation index into the index value correction model to obtain the corrected oxidation index specifically includes: Based on the operating condition feature vector, the disturbance type of the dynamic disturbance cycle is identified, and the disturbance type includes load increase disturbance, load decrease disturbance, slurry replenishment disturbance and oxidation air volume adjustment disturbance. According to the disturbance type, an index value correction model matching the disturbance type is retrieved from a preset dynamic correction model library. The index value correction model is a time-varying parameter regression model trained based on historical dynamic disturbance working condition data. The rate of change of each of the original oxidation indicators is extracted from the working condition feature vector and used as an auxiliary input feature of the indicator value correction model. The rate of change and the current measured value of the original oxidation indicator are then input into the indicator value correction model. The corrected oxidation index is obtained by calculating the dynamic lag compensation based on the current measured value of the original oxidation index and the rate of change using the index value correction model, and then adding the dynamic lag compensation to the current measured value of the original oxidation index.

5. The method according to claim 1, characterized in that, The determination of whether the current desulfurization system is in a quasi-steady-state operating cycle or a dynamic disturbance cycle based on the operating condition feature vector specifically includes: Extract the rate of change corresponding to each of the original oxidation indicators from the operating condition feature vector, and calculate the weighted change index of the rate of change; Extract the fluctuation amplitude corresponding to each of the original oxidation indices from the operating condition feature vector, and calculate the normalized fluctuation intensity index of the fluctuation amplitude; The weighted change index and the normalized fluctuation intensity index are weighted and fused together to obtain the operating status determination index; If the operating status determination index is less than the preset steady-state threshold, then the current desulfurization system is determined to be in the quasi-steady-state operating cycle. If the operating status determination index is greater than or equal to the preset steady-state threshold, then the current desulfurization system is determined to be in the dynamic disturbance cycle.

6. The method according to claim 1, characterized in that, The determination of the oxidation degree of the desulfurization slurry based on the modified oxidation index specifically includes: A three-dimensional oxidation state space is constructed using the corrected sulfite concentration as the primary criterion and the corrected redox potential and the corrected dissolved oxygen concentration as secondary criterions. In the three-dimensional oxidation state space, a partition boundary surface for the degree of oxidation is established, which divides the three-dimensional oxidation state space into an under-oxidized region, a normally oxidized region, and an over-oxidized region. The modified oxidation index is mapped to the corresponding coordinate point in the three-dimensional oxidation state space; If the coordinate point is located in the insufficient oxidation region, the oxidation degree of the desulfurization slurry is determined to be insufficient. If the coordinate point is located in the normal oxidation region, then the oxidation degree of the desulfurization slurry is determined to be normal. If the coordinate point is located in the excessive oxidation region, the oxidation degree of the desulfurization slurry is determined to be excessive oxidation; If the coordinate point is located within a preset neighborhood of the boundary surface of the adjacent region, the desulfurization slurry is determined to be in a critical oxidation state.

7. The method according to claim 1, characterized in that, The method further includes: The automatic flushing assembly injects flushing medium into the sampling pipeline and the constant temperature measurement chamber to flush and clean the inner wall of the pipeline and the surface of the sensor. The measured slurry sample and rinsing waste liquid are introduced into the ditch through the return pipeline; Monitor the response characteristic parameters of the integrated sensor. When the response characteristic parameters deviate from the preset standard response range, increase the rinsing frequency or extend the rinsing time to restore the measurement accuracy of the integrated sensor.

8. A device for analyzing the oxidation degree of desulfurization slurry, characterized in that, The desulfurization slurry oxidation degree analysis device includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the desulfurization slurry oxidation degree analysis device to perform the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that, When the instruction is executed on the desulfurization slurry oxidation degree analysis device, the desulfurization slurry oxidation degree analysis device performs the method as described in any one of claims 1-7.

10. A computer program product, characterized in that, When the computer program product is run on the desulfurization slurry oxidation degree analysis device, the desulfurization slurry oxidation degree analysis device performs the method as described in any one of claims 1-7.

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