Impregnation waste liquid intelligent detection system

Abstract

The invention discloses an impregnation waste liquid intelligent detection system, relates to the technical field of waste liquid detection, is used for solving the problem of low target active ion extraction efficiency, and is used for generating a cyclic recovery state by collecting the liquid level of an impregnation waste liquid storage tank, setting process verification time in a stable recovery state, and collecting conductivity and pH value to generate verification stable characteristics. Accessing a configuration database to obtain ion information, calling a detection device to obtain a target ion response value, determining detection effectiveness in combination with verification characteristics, obtaining a target pH value interval, generating a predicted pH value based on an ion structure coefficient and analyzing a classification quality score so as to judge whether an extraction judgment stage is entered or not; the temperature of the waste liquid and the height of a foam layer are collected, a heat matching index is set, an extraction alarm is generated or extraction is executed in combination with the foam height, and reasonable decision-making of impregnation waste liquid treatment opportunities and modes is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of waste liquid detection, more particularly, to an impregnated waste liquid intelligent detection system. BACKGROUND

[0002] Selective catalytic reduction (SCR) technology is widely used in flue gas denitrification scenes such as coal-fired power plants and industrial boilers. Its core denitrification performance depends on the active metal components in the catalyst and the stability of its ion structure. As the service cycle of the catalyst extends, the active components in the waste catalyst gradually decay, and they need to be recovered and activated by a regeneration process.

[0003] The prior art has the following disadvantages: Currently, the prior art mainly relies on a single physical and chemical parameter or an artificial experience threshold to determine the state of impregnated waste liquid, lacks a comprehensive evaluation mechanism for the effectiveness of ion composition evolution detection results under the recycling condition, and is prone to prematurely entering extraction processing when the ion structure is not yet stable, resulting in low extraction efficiency of target active ions, increased risk of impurity ion co-extraction, and affecting the recovery effect of active components and process operation stability in the regeneration process of SCR waste catalysts. Therefore, an impregnated waste liquid intelligent detection system is proposed.

[0004] The above information disclosed in the background section is only intended to strengthen the understanding of the background of the present disclosure, and therefore it can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide an impregnated waste liquid intelligent detection system, which solves the problems raised in the above background technology by using recycling state monitoring, verification stability feature evaluation, ion structure coefficient analysis and multi-parameter collaborative determination.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical scheme, an impregnated waste liquid intelligent detection system, comprising a verification trigger module, an ion analysis module, a classification determination module and an extraction evaluation module, the functions of each module are as follows: The verification trigger module is used to collect the storage tank liquid level data of the impregnated waste liquid and generate a recycling state. When the recycling state is a stable recycling state, a process verification time is set. When the process verification time is set, the conductivity data and the pH data of the impregnated waste liquid are detected, and the verification stability feature is evaluated according to the detection results; The ion analysis module is used to access the configuration database to retrieve ion configuration information, classify the ion types of the impregnated waste liquid in combination with the verification stability feature, detect the ion distribution information of different ion types and calculate the ion structure coefficient; The classification determination module is configured to obtain a target pH range of the impregnation waste liquid, generate a predicted pH combined with an ion structure coefficient, and analyze a classification quality score of an ion type classification result, and determine whether to enter an extraction determination stage based on the classification quality score. The extraction evaluation module is configured to collect a waste liquid temperature and a foam layer height of the impregnation waste liquid when entering the extraction determination stage, set a thermal matching index according to the waste liquid temperature, and select to generate an extraction warning prompt or perform extraction processing combined with the foam layer height.

[0007] In a preferred embodiment, in the verification trigger module, a preset verification window is set, a waste liquid level height of the impregnation waste liquid is collected by the liquid level collection unit and used as the storage tank liquid level data. The storage tank liquid level data are sorted in chronological order, the adjacent storage tank liquid level data are subtracted to obtain a liquid level change amount, and the maximum and minimum values of the liquid level change amount are subtracted to obtain a liquid level fluctuation amplitude. If the liquid level fluctuation amplitude is greater than a preset liquid level fluctuation threshold, it is determined that the recycling state is a non-stable recycling state. Conversely, it is determined that the recycling state is a stable recycling state.

[0008] In a preferred embodiment, in the verification trigger module, a process verification time is set when the recycling state is a stable recycling state, the conductivity data of the impregnation waste liquid are detected by the conductivity sensor, and the pH data of the impregnation waste liquid are detected by the pH sensor. The conductivity data refer to a conductivity measurement value sequence formed by continuous collection, and the pH data refer to a pH measurement value sequence formed by continuous collection. For the conductivity measurement value sequence, the adjacent conductivity measurement values are subtracted to obtain a conductivity difference value. For the pH measurement value sequence, the adjacent pH measurement values are subtracted to obtain a pH difference value. For the conductivity difference value and the pH difference value at the same time, if the sign directions of the conductivity difference value and the pH difference value are inconsistent, it is determined as a one-time parameter decoupling event. Conversely, it is not a parameter decoupling event. The verification stability feature is calculated according to the number of parameter decoupling events within the process verification time.

[0009] In a preferred embodiment, in the ion analysis module, the ion configuration information is accessed from the configuration database, including each target ion and a target ion type identifier. If the verification stability feature is greater than a preset verification stability threshold, the ion type of the impregnation waste liquid is classified. Conversely, the ion type of the impregnation waste liquid is not classified. The target ions in the impregnation waste liquid are classified into the valuable ion type and the impurity ion type by the target ion type identifier when classifying the ion types of the impregnation waste liquid.

[0010] In a preferred embodiment, in the ion analysis module, an ion chromatography detection device is called to perform ion detection on the impregnation waste liquid, and peak area values of the target ions are obtained as ion distribution information; The peak area values of different ion types are summed to obtain type result occupancy, and the type result occupancies of the valuable ion type and the impurity ion type are summed to obtain total ion structure occupancy; The ratio of the type result occupancy of the valuable ion type to the total ion structure occupancy is taken as an ion structure coefficient.

[0011] In a preferred embodiment, in the classification determination module, a target pH value interval of the impregnation waste liquid is obtained, which is a pH value allowable range determined in advance to ensure the stability of active components when the SCR waste catalyst regeneration impregnation waste liquid performs extraction treatment or impurity removal treatment; The theoretical pH value level corresponding to the ion structure condition of the current impregnation waste liquid is calculated to obtain a predicted pH value through a mapping model previously established between the ion structure coefficient and the pH value; The mapping model is a functional relationship model for describing the corresponding relationship between the ion structure coefficient and the pH value of the impregnation waste liquid; The center position of the target pH value interval is taken as a reference benchmark, the offset degree of the predicted pH value relative to the center position is calculated, and normalization processing is performed in combination with the width of the target pH value interval, so as to obtain a pH value matching degree.

[0012] In a preferred embodiment, in the classification determination module, a weighted sum method is adopted to weight and fuse the ion structure coefficient and the pH value matching degree based on a preset weighting coefficient, so as to generate a classification quality score; When the classification quality score is greater than or equal to a preset classification quality threshold, it is determined that the ion structure state of the impregnation waste liquid meets the condition for entering the extraction determination stage; When the classification quality score is less than the preset classification quality threshold, it is determined that the subsequent extraction evaluation process is not triggered.

[0013] In a preferred embodiment, in the extraction evaluation module, after the classification determination module determines that the impregnation waste liquid enters the extraction determination stage, a waste liquid temperature of the impregnation waste liquid is collected in real time by a temperature detection device arranged in the extraction front buffer container; A target extraction temperature corresponding to the current extraction process and a temperature deviation range are called; The current collected waste liquid temperature is subtracted from the target extraction temperature to obtain a waste liquid temperature deviation, and the waste liquid temperature deviation is divided by the interval width of the temperature deviation range to obtain a heat matching index; The height of the foam layer of the impregnated waste liquid is obtained by the foam detection device arranged on the top of the storage tank.

[0014] In a preferred embodiment, in the extraction evaluation module, when the heat matching index reaches or exceeds the preset heat matching threshold, and the height of the foam layer is lower than the preset foam safety threshold, it is determined that the extraction evaluation module outputs an extraction execution instruction to control the extraction device to perform extraction processing on the impregnated waste liquid. On the contrary, when the heat matching index is lower than the preset heat matching threshold, or the height of the foam layer reaches or exceeds the preset foam safety threshold, it is determined that the extraction evaluation module generates an extraction alarm prompt.

[0015] The technical effects and advantages of the present application are as follows: The present application collects the storage tank liquid level data of the impregnated waste liquid and generates a recycling state, sets a process verification time when the recycling state is stable, collects the conductivity and pH data and generates a verification stable feature, accesses the ion configuration information from the configuration database, calls the detection response value of the target ion from the ion detection device, and combines the verification stable feature to confirm the effectiveness of the ion detection result, obtains the target pH range of the impregnated waste liquid, generates a predicted pH based on the ion structure coefficient and analyzes the classification quality score of the ion type classification result, so as to determine whether to enter the extraction determination stage; When entering the extraction determination stage, the extraction evaluation module collects the waste liquid temperature and the height of the foam layer of the impregnated waste liquid, sets the heat matching index according to the waste liquid temperature, and generates an extraction alarm prompt or performs extraction processing in combination with the height of the foam layer, so as to make a reasonable decision on the processing time and method of the impregnated waste liquid. BRIEF DESCRIPTION OF DRAWINGS

[0016] Fig. 1 The implementation flowchart of the impregnated waste liquid intelligent detection system of the present application.

[0017] Fig. 2 The module framework diagram of the impregnated waste liquid intelligent detection system of the present application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0019] This invention collects tank level data of impregnating waste liquid and generates a recycling status. When the recycling status is stable, a process verification time is set, conductivity and pH data are collected and verification stability features are generated, ion configuration information is obtained from the configuration database, the detection response value of the target ion is obtained by calling the ion detection device, and the validity of the ion detection results is confirmed by combining the verification stability features. The target pH range of the impregnating waste liquid is obtained, and a predicted pH is generated based on the ion structure coefficient. The classification quality score of the ion type classification results is analyzed to determine whether to enter the extraction judgment stage. When entering the extraction judgment stage, the extraction evaluation module collects the waste liquid temperature and foam layer height, sets the thermal matching index according to the waste liquid temperature, and selects to generate an extraction alarm prompt or perform extraction treatment based on the foam layer height.

[0020] Example 1, such as Figs. 1-2 As shown, the intelligent detection system for impregnation waste liquid includes a calibration trigger module, an ion analysis module, a classification and determination module, and an extraction evaluation module. These modules are connected via electrical signals, and the functions of each module are as follows: The verification trigger module is used to collect the tank level data of the impregnating waste liquid and generate the circulation recovery status. When the circulation recovery status is a stable recovery status, the process verification time is set. When the process verification time is set, the conductivity data and pH data of the impregnating waste liquid are detected, and the verification stability characteristics are evaluated based on the detection results. The ion analysis module is used to access the configuration database to retrieve ion configuration information, classify the ion types of the impregnation waste liquid by combining the verification stability characteristics, detect the ion distribution information of different ion types, and calculate the ion structure coefficient. The classification and determination module is used to obtain the target pH range of the impregnation waste liquid, combine the ion structure coefficient to generate a predicted pH and analyze the classification quality score of the ion type classification results, and determine whether to enter the extraction determination stage based on the classification quality score. When entering the extraction judgment stage, the extraction evaluation module collects the temperature of the impregnating waste liquid and the height of the foam layer. Based on the waste liquid temperature, it sets the heat matching index and, combined with the foam layer height, selects to generate an extraction alarm or perform extraction treatment.

[0021] The specific implementation is as follows: In the verification trigger module, for the impregnation waste liquid generated during the regeneration and impregnation process of SCR spent catalyst, in order to avoid the disturbance of the recycling process from affecting the subsequent ion analysis, a verification window is preset. Within the preset verification window, the liquid level height of the impregnation waste liquid is collected by the liquid level acquisition unit and used as the liquid level data of the storage tank. The tank level data are sorted in chronological order. The difference between adjacent tank level data is used to obtain the level change. The difference between the maximum and minimum level change is used to obtain the level fluctuation range. The liquid level fluctuation amplitude is compared with the preset liquid level fluctuation threshold to generate a recycling state of the immersion waste liquid: If the liquid level fluctuation amplitude is greater than the preset liquid level fluctuation threshold, it is determined that the recycling state is a non-stable recycling state; On the contrary, it is determined that the recycling state is a stable recycling state; When the recycling state is a non-stable recycling state, it indicates that the immersion waste liquid is in a recycling disturbance phase within the preset verification window and does not have a stable basis as an ion structure analysis and process determination basis. When the recycling state is a stable recycling state, it indicates that the recycling process of the immersion waste liquid has entered a relatively stable phase within the preset verification window, and further conductivity and pH value detection can be performed to evaluate the verification stability characteristics; The process verification time is set when the recycling state is a stable recycling state. Within the process verification time, the conductivity data of the immersion waste liquid is detected by the conductivity sensor. The conductivity data refers to a conductivity measurement value sequence continuously collected within the process verification time, reflecting the stability of the ion system in the immersion waste liquid over time; The pH value data of the immersion waste liquid is detected by the pH value sensor. The pH value data refers to a pH value measurement value sequence continuously collected within the process verification time, reflecting the chemical environmental stability of the immersion waste liquid in the current recycling phase; For the conductivity measurement value sequence, the difference between adjacent conductivity measurement values is obtained to obtain a conductivity difference value; For the pH value measurement value sequence, the difference between adjacent pH value measurement values is obtained to obtain a pH value difference value; For the conductivity difference value and the pH value difference value at the same time, if the sign direction of the conductivity difference value and the pH value difference value is inconsistent, it is determined as a first-order parameter decoupling event; otherwise, it is not considered as a parameter decoupling event; For example, in the case where the conductivity difference value is positive and the pH value difference value is negative, or in the case where the conductivity difference value is negative and the pH value difference value is positive, it is determined that there is a first-order parameter decoupling event. In the case where the conductivity difference value and the pH value difference value are both positive or both negative, it is determined that there is no parameter decoupling event.

[0022] The parameter decoupling event refers to the fact that the conductivity change trend and the pH value change trend do not show synchronous and same-direction evolution, reflecting the relative independent change of the ion migration behavior and the hydrogen ion equilibrium state of the immersion waste liquid within the current time scale, and the recycling disturbance effect is weakened and gradually tends to be stable; The number of parameter decoupling events within the process verification time is counted as the number of parameter decoupling events; The ratio of the number of parameter decoupling events to the total number of adjacent differences within the process verification time is taken as the verification stability characteristics; The greater the check stability feature is, the weaker the influence of the recycling disturbance on the synchronization of the detection parameters is, and the more stable the working condition of the impregnation waste liquid is.

[0023] It needs to be explained that the preset check window can be set according to the typical cycle length of the impregnation waste liquid recycling process and the average residence time of the waste liquid in the storage tank; the liquid level acquisition unit is a liquid level detection device arranged on the impregnation waste liquid storage tank, which is used for continuously acquiring the liquid level height of the waste liquid in the storage tank; the preset liquid level fluctuation threshold value can be set according to the statistical results of the liquid level fluctuation in the historical stable recycling state; the process check time can be set according to the average time required for the impregnation waste liquid to reach mixing uniformity under the stable recycling state; the conductivity sensor is an online detection device for detecting the solution conductivity; the pH sensor is a detection device for detecting the solution pH state.

[0024] By identifying the recycling disturbance stage through the storage tank liquid level fluctuation, triggering detection under unstable recycling conditions is avoided. Further, under the stable recycling state, the influence of the recycling disturbance on the ion analysis result is reduced through the conductivity and pH change trend evaluation, and the reliability of the impregnation waste liquid treatment decision is improved.

[0025] In the ion analysis module, the ion configuration information is accessed from the configuration database to perform attribute matching processing on various ions in the impregnation waste liquid. The ion configuration information refers to an ion classification configuration table that is established in advance according to the SCR waste catalyst regeneration impregnation process characteristics, and is used for attribute division of ions in the impregnation waste liquid, including target ions and target ion type identifiers; Among them, the target ion refers to an ion associated with the active component recovery effect and the extraction process in the SCR waste catalyst regeneration impregnation and recycling process, which is determined in advance by process requirements and historical operation data and stored in the configuration database; the target ion type identifier refers to an identifier for marking the attribute category of each target ion in the impregnation process system, including valuable ion identifier and impurity ion identifier; The check stability feature is compared with the preset check stability threshold to determine whether to classify the ion types of the impregnation waste liquid: If the check stability feature is greater than the preset check stability threshold, the ion types of the impregnation waste liquid are classified; On the contrary, the ion types of the impregnation waste liquid are not classified; When the check stability feature is high, the target ions are classified based on the target ion type identifier, and the target ions are classified as valuable ions or impurity ions; When the check stability feature is low, the ion type confirmation processing of the target ions is not performed to avoid calculating the ion structure coefficient under unstable conditions; The target ions in the impregnation waste liquid are classified into the valuable ion type and the impurity ion type through the target ion type identification when classifying the ion types of the impregnation waste liquid; Further, the ion chromatography detection device is called to detect the ions in the impregnation waste liquid, and peak area values of the target ions are obtained, which are taken as ion distribution information, wherein the peak area value refers to the integral area corresponding to the characteristic peak of the target ion in the chromatogram; The peak area values of different ion types are summed to obtain type result occupancy, and the type result occupancies of the valuable ion type and the impurity ion type are summed to obtain total ion structure occupancy; The ratio of the type result occupancy of the valuable ion type to the total ion structure occupancy is taken as an ion structure coefficient; The larger the ion structure coefficient is, the higher the structural proportion of the valuable ion type in the ion system of the impregnation waste liquid is, the relatively lower the impurity ion accumulation degree is, and the state of the ion structure of the current impregnation waste liquid is beneficial to extraction treatment; It should be explained that the configuration database is a data storage database for storing parameter configuration information related to the SCR waste catalyst regeneration impregnation process; the preset verification stability threshold value can be set according to the historical verification stability characteristic statistical results of the impregnation waste liquid in the stable recovery stage; the ion chromatography detection device is an analysis equipment for separating and detecting the target ions in the impregnation waste liquid, and an electric signal is output for the separated ions.

[0026] In the classification and determination module, a target pH range of the impregnation waste liquid is obtained, which is a pH range determined in advance to ensure the stability of active components when the SCR waste catalyst regeneration impregnation waste liquid is subjected to extraction treatment.

[0027] The target pH range is determined by process design parameters, extraction agent application conditions and historical stable operation condition data, and is stored in the system configuration parameters in the form of an interval, the lower limit and the upper limit of which are denoted as a target pH lower limit and a target pH upper limit, respectively, for representing the chemical environment constraint condition that the impregnation waste liquid should meet before entering the extraction process.

[0028] After obtaining the target pH range, the classification and determination module calls the ion structure coefficient output by the ion analysis module, which is a quantitative index describing the internal structure state of the ion system, and its value change is related to the actual pH environment of the impregnation waste liquid.

[0029] Based on the correlation, the classification and determination module generates a predicted pH according to the ion structure coefficient.

[0030] The predicted pH value refers to a result of calculating a theoretical pH level of the current immersion waste liquid under the ion structure condition through a pre-established mapping model between the ion structure coefficient and the pH value.

[0031] It should be noted that the mapping model is a function relationship model for describing the corresponding relationship between the ion structure coefficient and the pH value of the immersion waste liquid, and is used to calculate the theoretical pH level of the immersion waste liquid when the ion structure coefficient is determined. The construction process of the mapping model is completed based on the detection data in the historical stable operation stage, specifically: in multiple historical working conditions with weak recovery disturbance and reliable ion detection results, the ion structure coefficient and the actual pH value corresponding to each working condition are synchronously collected to form an ion structure coefficient-pH value sample data set; then the sample data set is analyzed for correlation, and a function relationship model between the ion structure coefficient and the pH value is established by using a regression fitting method, so that the model output result can reflect the change trend of the pH value of the immersion waste liquid under the given ion structure coefficient condition.

[0032] After obtaining the predicted pH value, the classification determination module performs matching analysis on the predicted pH value and the target pH value interval. If the predicted pH value is located within the target pH value interval or has a small deviation from the target pH value interval, it indicates that the ion type classification result reflected by the current ion structure coefficient is consistent with the required chemical environment of the extraction process; if the predicted pH value deviates from the target pH value interval significantly, it indicates that the current ion structure coefficient may be affected by factors such as detection disturbance, abnormal ion distribution or insufficient classification, and the corresponding ion type classification result has low reliability.

[0033] On this basis, the classification determination module generates a classification quality score of the ion type classification result in combination with the matching results of the ion structure coefficient and the predicted pH value. Specifically, the center position of the target pH value interval is taken as a reference benchmark, the deviation degree of the predicted pH value relative to the center position is calculated, and the width of the target pH value interval is normalized to obtain the pH value matching degree, so as to reflect the coincidence degree between the predicted pH value and the target pH value interval. When the predicted pH value is closer to the center of the target pH value interval, the matching degree is higher; when the predicted pH value approaches the interval boundary or exceeds the interval range, the matching degree correspondingly decreases until it fails.

[0034] On this basis, the classification determination module uses a weighted summation method to weight and fuse the ion structure coefficient and the pH value matching degree based on a pre-set weighting coefficient to generate the classification quality score.

[0035] The classification quality score is used to comprehensively reflect the reliability of the ion type classification result, which is derived from the numerical value of the ion structure coefficient and the matching degree between the predicted pH value and the target pH value interval, and is used to measure whether the ion structure of the current impregnation waste liquid has formed a stable state that can be used as the basis for process decision. The higher the classification quality score, the higher the degree of conformity between the ion type classification result and the target process condition.

[0036] Subsequently, the classification quality score is compared with a preset classification quality threshold value, and based on the comparison result, it is judged whether to enter the extraction determination stage.

[0037] The preset classification quality threshold value is a threshold parameter determined according to the statistical results of the classification quality score under the historical extraction success working conditions, which is used to distinguish between effective working conditions that can perform extraction determination and non-effective working conditions that need to continue recycling or delayed processing. The specific setting method is to take the sum of the mean and standard deviation of the classification quality score statistical results as the preset classification quality threshold value.

[0038] When the classification quality score is greater than or equal to the preset classification quality threshold value, it is determined that the ion type classification result of the current impregnation waste liquid has sufficient reliability, and the ion structure state of the impregnation waste liquid meets the conditions for entering the extraction determination stage; when the classification quality score is less than the preset classification quality threshold value, it is determined that the current impregnation waste liquid does not have a reliable basis for entering the extraction determination stage, and the system maintains the existing recycling state without triggering the subsequent extraction evaluation process.

[0039] Through the above processing flow, the classification determination module introduces the target pH value interval constraint and the predicted pH value verification mechanism based on the ion structure coefficient, realizes the quantitative evaluation of the quality of the ion type classification result, avoids entering the extraction determination stage when the ion structure is not stable or the classification result is not reliable, and thus improves the objectivity and accuracy of the judgment of the processing opportunity of the impregnation waste liquid.

[0040] In the extraction evaluation module, after the classification determination module determines that the impregnation waste liquid enters the extraction determination stage, further evaluation of the extraction working condition adaptability of the impregnation waste liquid is triggered to determine whether the process conditions for immediately performing extraction treatment are met.

[0041] The extraction evaluation module first collects the waste liquid temperature of the impregnation waste liquid, which is collected by a temperature detection device arranged in the pre-extraction buffer container in real time, and is used to reflect the thermal state of the current impregnation waste liquid. The temperature detection device is an online temperature collection unit arranged in the pre-extraction buffer container or the container wall surface, which is used to continuously detect the actual temperature of the impregnation waste liquid in the buffer container.

[0042] The waste liquid temperature is an important process parameter that affects the extraction kinetics, the stability of the extraction agent and the mass transfer efficiency, and the numerical value change is directly related to the reaction rate and phase separation effect of the extraction process.

[0043] After obtaining the temperature of the raffinate, the extraction evaluation module calls the target extraction temperature corresponding to the current extraction process and the temperature deviation range.

[0044] It should be noted that the target extraction temperature refers to the temperature setting value that can guarantee the extraction efficiency, phase separation effect and equipment safety under the historical stable running condition, and the temperature deviation range is a temperature allowable interval set around the target extraction temperature, the upper and lower limits of which are used to limit the acceptable temperature fluctuation amplitude.

[0045] The extraction evaluation module calculates the deviation of the current collected raffinate temperature from the target extraction temperature, and compares the deviation of the raffinate temperature with the temperature deviation range, i.e. divides the deviation of the raffinate temperature by the interval width of the temperature deviation range, so as to convert the deviation degree of the raffinate temperature relative to the target extraction temperature into a normalized thermal matching index.

[0046] The thermal matching index is an evaluation parameter for quantifying the matching degree between the current raffinate temperature and the extraction process temperature requirement, and its value is determined by the proximity of the raffinate temperature to the target extraction temperature. When the raffinate temperature is near the target extraction temperature, the thermal matching index takes a higher value, indicating that the current thermal condition is conducive to the stable operation of the extraction operation; when the raffinate temperature deviates from the target extraction temperature, the thermal matching index decreases accordingly, indicating that the extraction under the current thermal condition may lead to a decrease in extraction efficiency or an increase in process fluctuation risk.

[0047] After completing the raffinate temperature evaluation, the extraction evaluation module further collects the foam layer height of the impregnated raffinate. The foam layer height is obtained by the foam detection device arranged at the top of the storage tank, which reflects the gas-liquid interface state of the impregnated raffinate under the current condition, and characterizes the content of surface active substances, agitation state and gas entrainment in the raffinate. The higher the value is, the more likely it is to adversely affect the phase separation in the extraction process, the safety of equipment operation and the accuracy of material metering.

[0048] It should be noted that the foam detection device is an online foam detection unit arranged at the top of the impregnated raffinate storage tank, which is used for real-time detection of the foam layer height formed above the liquid surface of the impregnated raffinate in the storage tank.

[0049] The extraction evaluation module compares the thermal matching index with the preset thermal matching threshold value, and compares the collected foam layer height with the preset foam safety threshold value; It should be noted that the thermal matching threshold is a quantitative determination parameter determined based on historical operation data of the SCR waste catalyst regeneration impregnated waste liquid extraction process. A plurality of historical working condition samples that have completed extraction treatment under stable operation conditions are selected, the thermal matching indexes corresponding to each working condition are extracted, the working condition samples with extraction effect reaching the preset qualified standard are taken as an effective sample set, the thermal matching indexes corresponding to the effective sample set are counted, and the minimum value of the thermal matching indexes in the effective sample set is taken as the thermal matching threshold. The preset foam safety threshold is a threshold parameter determined according to the structural characteristics of the extraction equipment, historical operation data and safety operation requirements, and is used to limit the maximum foam layer height allowed in the extraction operation process. When the foam layer height exceeds the preset foam safety threshold, it is determined that the current impregnated waste liquid has obvious foam risk and is not suitable for immediate extraction operation.

[0050] The extraction decision logic is executed by comprehensively considering the thermal matching index and the foam layer height.

[0051] When the thermal matching index reaches or exceeds the preset thermal matching threshold and the foam layer height is lower than the preset foam safety threshold, it is determined that the current impregnated waste liquid meets the requirements of the extraction process in terms of both thermal conditions and physical state, and the extraction evaluation module outputs an extraction execution instruction to control the extraction device to extract and treat the impregnated waste liquid. On the contrary, when the thermal matching index is lower than the preset thermal matching threshold or the foam layer height reaches or exceeds the preset foam safety threshold, it is determined that the current working condition has a risk that is not conducive to the stable implementation of extraction, and the extraction evaluation module generates an extraction alarm prompt to prompt that the extraction operation is not suitable at present, and can delay extraction, adjust temperature or take foam suppression measures in cooperation with the control system.

[0052] Through the above evaluation process, the extraction evaluation module further quantitatively judges the extraction feasibility from two dimensions of thermal condition and physical operation state on the premise that the ion structure and acid-base environment have met the requirements, so as to avoid blindly executing extraction operation in the case of mismatched temperature conditions or high foam risk, thereby improving the safety, stability and process controllability of the SCR waste catalyst regeneration impregnated waste liquid extraction process.

[0053] Finally, it should be noted that in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between the entities or operations.

[0054] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0055] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0056] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0057] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent detection system for impregnation waste liquid, characterized in that: It includes a verification trigger module, an ion analysis module, a classification and determination module, and an extraction evaluation module. The functions of each module are as follows: The verification trigger module is used to collect the tank level data of the impregnating waste liquid and generate the circulation recovery status. When the circulation recovery status is a stable recovery status, the process verification time is set. When the process verification time is set, the conductivity data and pH data of the impregnating waste liquid are detected, and the verification stability characteristics are evaluated based on the detection results. The ion analysis module is used to access the configuration database to retrieve ion configuration information, classify the ion types of the impregnation waste liquid by combining the verification stability characteristics, detect the ion distribution information of different ion types, and calculate the ion structure coefficient. The classification and determination module is used to obtain the target pH range of the impregnation waste liquid, combine the ion structure coefficient to generate a predicted pH and analyze the classification quality score of the ion type classification results, and determine whether to enter the extraction determination stage based on the classification quality score. When entering the extraction judgment stage, the extraction evaluation module collects the temperature of the impregnating waste liquid and the height of the foam layer. Based on the waste liquid temperature, it sets the heat matching index and, combined with the foam layer height, selects to generate an extraction alarm or perform extraction treatment.

2. The intelligent detection system for impregnation waste liquid according to claim 1, characterized in that: In the verification trigger module, a verification window is preset, and the liquid level height of the impregnated waste liquid is collected by the liquid level acquisition unit and used as the liquid level data of the storage tank. The tank level data are sorted in chronological order. The difference between adjacent tank level data is used to obtain the level change. The difference between the maximum and minimum level change is used to obtain the level fluctuation range. If the liquid level fluctuation exceeds the preset liquid level fluctuation threshold, the recycling state is determined to be an unstable recycling state. Conversely, if the cyclic recycling state is not found, it is determined to be a stable recycling state.

3. The intelligent detection system for impregnation waste liquid according to claim 1, characterized in that: In the verification trigger module, when the cyclic recycling state is a stable recycling state, the process verification time is set, the conductivity data of the impregnation waste liquid is detected by the conductivity sensor, and the pH data of the impregnation waste liquid is detected by the pH sensor. Among them, conductivity data refers to the sequence of conductivity measurements formed by continuous collection, and pH data refers to the sequence of pH measurements formed by continuous collection. For a sequence of conductivity measurements, the conductivity difference value is obtained by subtracting adjacent conductivity measurements. For a sequence of pH measurements, the pH difference is obtained by subtracting adjacent pH measurements. If the conductivity difference and pH difference values ​​at the same time do not have the same sign direction, it is judged as a parameter decoupling event. Conversely, it is not used as a parameter for decoupling events; The verification stability characteristics are calculated based on the number of parameter decoupling events within the process verification time.

4. The intelligent detection system for impregnation waste liquid according to claim 1, characterized in that: In the ion analysis module, the configuration database is accessed to retrieve ion configuration information, including each target ion and the target ion type identifier. If the verification stability feature is greater than the preset verification stability threshold, then the ion type of the impregnating waste liquid is classified. Conversely, the ion types of the impregnation waste liquid are not classified. When classifying the ion types of impregnation waste liquid, the target ions in the impregnation waste liquid are classified into valence ion types and impurity ion types by using the target ion type identifier.

5. The intelligent detection system for impregnation waste liquid according to claim 4, characterized in that: In the ion analysis module, the ion chromatography detection device is called to perform ion detection on the impregnation waste liquid, obtain the peak area value of each target ion, and use the peak area value as ion distribution information. The peak area values ​​of different ion types are summed to obtain the type result occupancy. The type result occupancy of valent ion types and impurity ion types is summed to obtain the total ion structure occupancy. The ratio of the occupancy of valent ion types to the total occupancy of ion structures is used as the ion structure coefficient.

6. The intelligent detection system for impregnation waste liquid according to claim 1, characterized in that: In the classification and determination module, the target pH range of the impregnation waste liquid is obtained. The target pH range refers to the pH range that is predetermined to ensure the stability of the active components when the SCR waste catalyst regeneration impregnation waste liquid is subjected to extraction or impurity removal treatment. By using a pre-established mapping model between ionic structure coefficients and pH, the theoretical pH level of the current impregnation waste liquid under ionic structure conditions is calculated to obtain the predicted pH. The mapping model is a functional relationship model used to describe the correspondence between ionic structure coefficients and the pH of impregnation waste liquid; Using the center position of the target pH range as a reference, the degree of deviation of the predicted pH relative to the center position is calculated, and normalized by combining it with the width of the target pH range, so as to obtain the degree of pH matching.

7. The intelligent detection system for impregnation waste liquid according to claim 6, characterized in that: In the classification and determination module, a weighted summation method is used to weight and fuse the ion structure coefficients and the degree of acid-base matching based on preset weighting coefficients to generate a classification quality score. When the classification quality score is greater than or equal to the preset classification quality threshold, the ionic structure state of the impregnation waste liquid is determined to meet the conditions for entering the extraction determination stage. If the classification quality score is less than the preset classification quality threshold, the subsequent extraction and evaluation process will not be triggered.

8. The intelligent detection system for impregnation waste liquid according to claim 1, characterized in that: In the extraction evaluation module, after the classification and judgment module determines that the impregnation waste liquid has entered the extraction judgment stage, the temperature detection device set in the pre-extraction buffer container collects the temperature of the impregnation waste liquid in real time. Retrieve the target extraction temperature and temperature deviation range corresponding to the current extraction process; The difference between the currently collected waste liquid temperature and the target extraction temperature is calculated to obtain the waste liquid temperature deviation. The waste liquid temperature deviation is divided by the interval width of the temperature deviation range to obtain the thermal matching index. The height of the foam layer in the impregnated waste liquid is obtained by a foam detection device installed on the top of the storage tank.

9. The intelligent detection system for impregnation waste liquid according to claim 8, characterized in that: In the extraction evaluation module, when the heat matching index reaches or exceeds the preset heat matching threshold and the foam layer height is lower than the preset foam safety threshold, the extraction evaluation module outputs an extraction execution command to control the extraction device to extract the impregnating waste liquid. Conversely, when the thermal matching index is lower than the preset thermal matching threshold, or when the foam layer height reaches or exceeds the preset foam safety threshold, the extraction evaluation module will generate an extraction alarm.

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