Bisphenol a degradation method based on water treatment process data analysis

Abstract

The application discloses a bisphenol A degradation method based on water treatment process data analysis and relates to the technical field of environmental engineering, and comprises the following steps: collecting bisphenol A concentration change, oxidant consumption change, temperature change and reaction rate change information in the whole bisphenol A degradation reaction process, constructing a continuous change record in time sequence, and marking the position of the reaction rate increase in the continuous change record. The application constructs a continuous change record based on process data and identifies the reaction rate change, realizes early determination and interval control of the reaction intensity, changes the bisphenol A degradation process from experience adjustment to data-driven adjustment, and improves the reaction stability; meanwhile, by adjusting the oxidant addition rate and rhythm and implementing segmented control, the intermediate product is promoted to gradually transform, the concentrated accumulation of the intermediate product is reduced, the toxicity change of the effluent is stabilized, and the safety and controllability of the overall treatment process are improved.

Description

Technical Field

[0001] This invention relates to the field of environmental engineering technology, and more specifically to a bisphenol A degradation method based on water treatment process data analysis. Background Technology

[0002] Bisphenol A (BPA) degradation based on water treatment process data analysis refers to a process where, instead of relying solely on fixed reaction conditions, the treatment of BPA-containing water involves continuous collection and correlation analysis of operational data within the reaction system (such as changes in BPA concentration, persulfate dosage, temperature, pH, and catalyst activity). Based on this analysis, the correlation between reaction rate changes and the formation of reactive species is identified, and the oxidation reaction pathway and key parameters are dynamically adjusted accordingly to guide the continuous transformation of BPA along an efficient degradation pathway. This type of technology typically incorporates a persulfate advanced oxidation system, analyzing the electron transfer intensity and reactive species contribution reflected in data changes to coordinate free radical and non-free radical reaction processes, thereby enabling... •⁻and By maintaining the formation of key species within a favorable range, precise control of the degradation process can be achieved. For example, in a catalytic system constructed through the synergistic effect of Mn and N, data analysis can be used to match the state of catalyst active sites with the reaction progress, enabling bisphenol A to be removed at a high rate in a short time and maintaining stable degradation performance under different water quality conditions. Essentially, this method is a regulatory degradation approach that combines understanding of the reaction mechanism with process data feedback.

[0003] The existing technology has the following shortcomings: In existing technologies, the degradation process of bisphenol A based on the persulfate system typically relies on a mild oxidation pathway dominated by ¹O₂ to maintain reaction stability. However, during actual operation, factors such as fluctuations in oxidant dosage, local temperature changes, and the evolution of the reaction process can cause mutations in the dominant active species of the reaction system, leading to changes in the reaction composition. The dominant path has shifted to The primary pathway is a strong oxidation pathway. During this transformation, the reaction intensity experiences a short-term amplification, and the molecular structure is rapidly destroyed. This easily leads to the rapid generation of a large number of intermediate products, which are difficult to continue transforming in time, resulting in the accumulation of intermediate products. At the same time, since some intermediate products have high biotoxicity, they can easily cause a phased increase in the effluent toxicity. In severe cases, the effluent toxicity may even exceed the influent level, thus affecting the stability and safety of the water treatment process.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a bisphenol A degradation method based on water treatment process data analysis to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a bisphenol A degradation method based on water treatment process data analysis, comprising the following steps: Information on changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate throughout the entire bisphenol A degradation reaction was collected, and a continuous change record was constructed in chronological order, marking the locations where the reaction rate increased in the continuous change record. Based on the marked positions of reaction rate increases in the continuous change record, the changes in oxidant consumption and temperature within the corresponding time interval are extracted to form reaction intensity change information, and the time interval of reaction intensity change is determined based on the reaction intensity change information. Based on the time interval of reaction intensity change, the oxidant addition acceleration rate and addition rhythm are adjusted. During the time interval of reaction rate increase, the oxidant addition acceleration rate is reduced and the addition cycle is extended to inhibit the continuous increase of reaction intensity. The degradation process of bisphenol A was controlled in stages by adjusting the oxidant addition rate and rhythm, gradually transitioning the reaction rate increase interval to the stable reaction interval, so as to reduce the intermediate product formation rate and promote the continuous conversion of intermediate products. Based on the degradation progress within the stable reaction range, the reaction intensity in subsequent reaction processes is continuously adjusted to restore the degradation process to a stable oxidation state, inhibit the accumulation of intermediate products, and reduce fluctuations in effluent toxicity.

[0007] Preferably, various changes throughout the bisphenol A degradation reaction are processed through time series correlation to form a continuous change record, and the reaction rate change range is determined through multivariate synchronous analysis. Specifically, this includes the following steps: Information on changes in bisphenol A concentration, oxidant consumption, and temperature was acquired and corresponding time node data was generated. At the same time, reaction rate changes were calculated by combining time intervals to form a unified dataset. According to a unified data set, the data at each time point are arranged and connected in chronological order to form a continuous change record, so that the information corresponding to each time point remains synchronized. The reaction rate change information in the continuous change record is compared segment by segment. The intervals of continuous increase in reaction rate are screened by combining the changes in oxidant consumption and temperature at the corresponding time nodes, and the positions of the increase in reaction rate are marked. By continuing the labeling results, the data of time nodes before and after the position of increased reaction rate are continuously arranged to form a change range. The change process of reaction intensity is characterized by the synchronous characteristics of changes in oxidant consumption and temperature.

[0008] Preferably, the location of the reaction rate increase is determined by the synchronous relationship between the reaction rate change trend and the changes in oxidant consumption and temperature in the continuous change record, and the corresponding time node is marked in the continuous change record to form a continuous interval expression of the reaction intensity change.

[0009] Preferably, the process of determining the time interval of reaction intensity change is achieved through multivariate correlation analysis in continuous change records. The interval is extracted and the intensity is determined by expanding the time nodes corresponding to the positions where the reaction rate increases. Specifically, it includes the following steps: Extract the time nodes corresponding to the positions where the reaction rate increases, and extend them forward and backward along the time sequence to obtain continuous time nodes to form an initial analysis interval. At the same time, read the oxidant consumption change information and temperature change information corresponding to each time node. The changes in oxidant consumption and temperature were compared point by point along the initial analysis interval, and the differences in changes between adjacent time points were recorded to form a time series relationship. Based on the time series relationship, the time periods in which the oxidant consumption changes continuously increase and the temperature changes continuously rise are divided to form the reaction intensity change interval, and the corresponding time nodes are marked. By extending the range of reaction intensity changes, the start and end time points of the range are defined, so that the information on reaction intensity changes forms a complete time range and characterizes the intensity change stages in the reaction process.

[0010] Preferably, each time point within the reaction intensity change range simultaneously satisfies the conditions that the oxidant consumption change is continuously increasing and the temperature change is continuously rising. The reaction intensity change process is characterized by the consistency of the change trends between each time point, thereby defining the determination criteria for the reaction intensity change range.

[0011] Preferably, the oxidant dosing rate and dosing rhythm are controlled by varying the dosing over a continuous time period, specifically including the following steps: Divide the reaction intensity change time interval into continuous time nodes to form multiple time periods, and mark the time periods corresponding to the reaction rate increase time interval. At the same time, record the oxidant addition acceleration rate and addition time node corresponding to each time period. Based on the time period division results, the oxidant addition rate is adjusted for each time period within the time interval of reaction rate increase, and a continuous change process is formed by gradually reducing the oxidant addition rate in adjacent time periods. Based on the results of the acceleration rate adjustment, the corresponding injection time nodes for each time period are extended, and the injection rhythm is changed by increasing the time interval between adjacent injections. By combining changes in the rate of addition and the rhythm of addition, the oxidant addition behavior forms a continuous variation pattern. Through addition control within a time period, the reaction intensity is continuously enhanced and the reaction process is kept stable.

[0012] Preferably, the oxidant addition rate decreases continuously along the time interval corresponding to the reaction rate increase interval. The oxidant addition rhythm is formed by extending the time interval between adjacent addition time nodes to form an intermittent addition method, thereby limiting the time distribution of oxidant participation in the reaction and controlling the process of reaction intensity change.

[0013] Preferably, the segmented control of the bisphenol A degradation process is achieved through time interval division and continuous addition behavior. The reaction rate increase time interval is gradually transitioned to the stable reaction interval through continuous sub-interval control, specifically including the following steps: The reaction rate increase intervals are divided into continuous time nodes, forming multiple sub-intervals. At the same time, the changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate are recorded for each sub-interval. Based on the sub-interval division results, the bisphenol A degradation process was controlled in each sub-interval by maintaining the same oxidant addition rate and rhythm to complete the reaction process in each sub-interval. By continuing the addition behavior corresponding to each sub-interval, the reaction process between adjacent sub-intervals is continuously transitioned, and by maintaining the addition interval, intermediate products are encouraged to participate in the reaction of subsequent sub-intervals. By combining the continuous sub-interval change process, the time interval of increasing reaction rate is gradually transformed into a stable reaction interval. The formation rate of intermediate products is reduced and the continuous transformation of intermediate products is promoted through segmented control.

[0014] Preferably, the oxidant addition rate and addition rhythm are kept consistent in each sub-interval, the reaction time distribution is controlled by extending the addition interval, and the intermediate products are gradually converted and dispersed by the continuation of the reaction process in the continuous sub-intervals.

[0015] Preferably, the continuous adjustment of reaction intensity is achieved through the continuation of the stable reaction range and the extension of continuous change records. Subsequent reaction processes maintain a stable oxidation state through time series extension and dosing behavior control, specifically including the following steps: Extend the continuous change record corresponding to the stable reaction range, acquire the data of the new time nodes and form a continuous change sequence, and record the information of bisphenol A concentration change, oxidant consumption change, temperature change and reaction rate change. By combining the newly added time node data in the continuous change sequence, the changes in oxidant consumption and temperature at each time node are compared, and the oxidant addition rate and addition rhythm are kept consistent to maintain a stable reaction intensity. By continuing the addition behavior corresponding to each time node, and maintaining the reaction running time between adjacent time nodes, the intermediate products can participate in the reaction at subsequent time nodes and form a continuous transformation process. By combining the extended results of the continuous variation sequence, a stable oxidation state is maintained through dosage control within time nodes, thereby inhibiting the accumulation of intermediate products and reducing fluctuations in effluent toxicity.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention constructs a continuous change record and identifies the locations where the reaction rate increases, enabling early perception and interval definition of changes in reaction intensity during the reaction process. This transforms the reaction state from a judgment based on experience to a continuous determination based on process data. When a trend of change in the reaction rate appears, targeted adjustments can be made, thereby avoiding the instability caused by a continuous increase in reaction intensity in a short period of time. This ensures that the bisphenol A degradation process remains stable throughout the entire operation, improving the controllability and continuity of the reaction process.

[0017] This invention dynamically adjusts the oxidant dosing rate and rhythm, combined with a segmented control strategy, to allow intermediate products to be gradually generated and continuously transformed within different time intervals. This reduces the occurrence of intermediate products concentrated in local time ranges. At the same time, it continuously adjusts the reaction intensity within the stable reaction range, keeping the degradation process in a stable oxidation state. This achieves continuous degradation of bisphenol A while reducing fluctuations in effluent toxicity, ensuring stable changes in effluent quality over time, and improving the safety and stability of the overall treatment process. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the bisphenol A degradation method based on water treatment process data analysis according to the present invention. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0021] This invention provides, for example Figure 1The bisphenol A degradation method shown is based on water treatment process data analysis and includes the following steps: Information on changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate throughout the entire bisphenol A degradation reaction was collected, and a continuous change record was constructed in chronological order, marking the locations where the reaction rate increased in the continuous change record. By continuously acquiring and correlating information throughout the entire bisphenol A degradation reaction process, various changes during the reaction are uniformly expressed over time, enabling precise location of reaction rate changes and providing a continuous basis for subsequent reaction process regulation. The specific process is as follows: To study the multidimensional changes in the bisphenol A (BPA) degradation process, the entire process of the reaction solution from the start to the end of the reaction was continuously recorded. Samples were extracted from the reaction solution at fixed time intervals, and the actual BPA content in the samples was measured to obtain BPA concentration change data. At the same time point, the real-time concentration change of the oxidant in the reaction solution was recorded to obtain oxidant consumption change data. Temperature change data was obtained by continuously reading the liquid temperature in the reaction vessel.

[0022] After completing the above three types of data collection, based on the relationship between the change in bisphenol A concentration and the corresponding time interval between adjacent time nodes, the reaction rate change data in each time interval is calculated segment by segment. This ensures that the information on bisphenol A concentration change, oxidant consumption change, temperature change, and reaction rate change forms a complete set of data at the same time node, thereby ensuring the synchronous correspondence of various types of information on the time axis and enabling the changes of various physical quantities during the reaction process to be uniformly expressed on the same time coordinate.

[0023] The information on changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate acquired at time points is arranged point by point in chronological order. Starting from the initial acquisition time, subsequent time points are connected sequentially to construct a continuous change record covering the entire reaction process. In this continuous change record, each time point corresponds to a complete set of information on changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate. By connecting the time points in chronological order, the relationship between the changes at different time points is expressed as a continuous curve.

[0024] During the formation of continuous change records, the original acquisition order of various data is maintained, and no data is skipped or intermittently processed. This ensures that the continuous change records can fully reflect the hourly changes in the reaction process, so that the process of decreasing bisphenol A concentration, oxidant consumption, and temperature change are synchronously changed with the process of reaction rate change in the same record. This allows for direct corresponding analysis of the changing trends of different physical quantities.

[0025] After the continuous change record is constructed, the reaction rate change information in the continuous change record is compared segment by segment in chronological order. By continuously comparing the reaction rate values ​​in adjacent time intervals, the intervals in which the reaction rate changes from a relatively slow change to a continuous increase are screened out. Within these intervals, the oxidant consumption change data and temperature change data at the corresponding time nodes are further analyzed synchronously. When a certain time node simultaneously meets the three conditions of a continuous increase in reaction rate, an increase in oxidant consumption at this time node compared to the previous time node, and an increase in temperature at this time node compared to the previous time node, this time node is determined as the position of the increase in reaction rate.

[0026] After the marking is completed, the position where the reaction rate increases is marked in the continuous change record so that the position can be clearly identified in the entire continuous change record and form a one-to-one correspondence with the information on the changes in bisphenol A concentration, changes in oxidant consumption, and temperature at the corresponding time points. Thus, the position where the reaction rate increases not only reflects the change in the reaction rate itself, but also reflects the associated energy changes and material consumption behavior.

[0027] Around the position of reaction rate increase marked in the continuous change record, multiple time points before and after this position are continuously tracked. The data on changes in bisphenol A concentration, oxidant consumption, and temperature before the position of reaction rate increase are matched one-to-one with the data of the corresponding time points after this position, so that the position of reaction rate increase forms a continuous data interval on the time axis. This interval can clearly reflect the transition process of the reaction process from a stable change phase to an accelerated change phase. Within this continuous interval, by observing the synchronous characteristics of the gradually accelerating change in oxidant consumption and the gradually increasing temperature change, the state changes of enhanced formation of active species and accelerated electron transfer process during the reaction can be reflected. This allows the continuous change record to not only represent the data change itself, but also reflect the actual process of reaction intensity change during the reaction process. This provides a complete time interval basis for subsequent adjustment of oxidant addition based on reaction intensity changes, so that the dynamic changes of the entire reaction process can be continuously recorded and used for further processing in subsequent steps.

[0028] Based on the marked positions of reaction rate increases in the continuous change record, the changes in oxidant consumption and temperature within the corresponding time interval are extracted to form reaction intensity change information, and the time interval of reaction intensity change is determined based on the reaction intensity change information. By deeply analyzing the marked locations of reaction rate increases in continuous change records, the behavior of material consumption and energy change during the reaction process are correlated and expressed, thereby constructing information on changes in reaction intensity and further determining the time interval of reaction intensity changes, providing clear time boundaries for subsequent reaction regulation. The specific process is as follows: Around the marked positions of reaction rate increases in the continuous change record, extract the time nodes corresponding to those positions. Using these time nodes as the center, select several time nodes forward and backward in the continuous change record, and use the range of these consecutive time nodes as the initial analysis interval.

[0029] Within this initial analysis interval, the oxidant consumption change information and temperature change information corresponding to each time node are read one by one and arranged in a time sequence consistent with the position of reaction rate increase. This makes the oxidant consumption change and temperature change within the initial analysis interval form a continuous time series data set. At the same time, it ensures that each time node in this data set can form a time correlation with the position of reaction rate increase, thereby providing a complete data foundation for the formation of subsequent reaction intensity change information.

[0030] After extracting information on changes in oxidant consumption and temperature within the initial analysis interval, the time series data set is expanded point by point. By recording the continuous differences in changes in oxidant consumption between adjacent time nodes, and simultaneously recording the continuous differences in temperature changes between corresponding time nodes, the trends in changes in oxidant consumption and temperature changes are synchronously expressed on the same time axis.

[0031] In this process, the gradual increase in oxidant consumption across multiple consecutive time points is correlated with the gradual increase in temperature at the same time points. This clearly demonstrates the coupling relationship between oxidant consumption and temperature change, and reflects the reaction intensity changes caused by enhanced electron transfer and active species generation during the reaction process. Thus, a continuous expression of reaction intensity changes is formed in this time series dataset.

[0032] After the changes in oxidant consumption and temperature are synchronized, the position where the reaction rate increases is used as the core reference point. The changes in reaction intensity formed before and after this position are divided into intervals. The time period in which the changes in oxidant consumption and temperature increase continuously is taken as the interval of reaction intensity change. All time points in this interval are centrally marked so that this interval forms a complete region of reaction intensity change in the continuous change record.

[0033] Within this region, by uniformly arranging the correspondence between the changes in reaction rate, oxidant consumption, and temperature at each time point, the information on changes in reaction intensity is expressed as a continuous interval in the time dimension. This continuous interval reflects the entire process of the reaction transitioning from a relatively stable state to an enhanced state, so that the information on changes in reaction intensity not only includes the characteristics of changes at a single time point, but also the temporal continuity of the entire change process.

[0034] Based on the established information on reaction intensity changes, the boundaries of the reaction intensity change interval are determined. The starting time node of the reaction intensity change interval is defined as the time when the change in oxidant consumption begins to increase continuously and the change in temperature begins to rise continuously. Simultaneously, the ending time node is defined as the time when the change in oxidant consumption stops increasing continuously and the change in temperature no longer rises. By determining these starting and ending time nodes, the reaction intensity change time interval forms a clear time range in the continuous change record. Within this time range, the information on the change in reaction intensity fully reflects the consumption behavior of the oxidant in the reaction process and the temperature change behavior corresponding to the energy release during the reaction. This time interval also corresponds to the stage of enhanced generation of active species and accelerated electron transfer process. Thus, the time interval of reaction intensity change not only has a clear time boundary, but also reflects the actual state of the reaction path change during the reaction process, providing a direct basis for subsequent adjustment of oxidant addition based on this time interval.

[0035] Based on the time interval of reaction intensity change, the oxidant addition acceleration rate and addition rhythm are adjusted. During the time interval of reaction rate increase, the oxidant addition acceleration rate is reduced and the addition cycle is extended to inhibit the continuous increase of reaction intensity. By segmenting the determined reaction intensity change time interval and combining the change characteristics within the reaction rate increase time interval, the oxidant addition rate and rhythm are continuously adjusted to change the way the oxidant participates in the reaction process. This controls the continuous increase in reaction intensity and gradually brings the reaction process to a stable state. The specific implementation process is as follows: Based on the time interval of reaction intensity change, this time interval is divided point by point according to time sequence. The time interval is divided into multiple continuous time periods from the start time node to the end time node. The start and end of each time period correspond to the actual time nodes in the continuous change record. The time sequence is maintained without jumps during the division process, so that each time period can correspond to the specific stage in the reaction rate change process. After the time period division is completed, the time periods within the reaction rate increase time interval are marked separately, so that these time periods can be distinguished from the overall time interval. In each marked time period, the oxidant addition acceleration rate corresponding to the start time of the time period and the number of oxidant additions that have occurred in the time period are recorded, so that the oxidant addition behavior forms a clear distribution in the time dimension, thereby providing a clear time division basis for subsequent adjustment of the oxidant addition acceleration rate and addition rhythm.

[0036] Around the already divided time periods, the oxidant addition acceleration rate within the time interval of the reaction rate increase is adjusted segment by segment. At the beginning of each marked time period, the oxidant addition acceleration rate is reset so that the oxidant addition acceleration rate of the current time period is lower than that of the previous time period, and the addition acceleration rate is kept unchanged during the time period.

[0037] After the current time period is completed, the oxidant addition rate is reduced again when entering the next time period, so that the oxidant addition rate gradually decreases throughout the entire reaction rate increase time interval. Through this gradual reduction, the amount of oxidant entering the reaction process per unit time is gradually reduced, thereby reducing the rate of active species generation caused by the oxidant's participation in the reaction. This suppresses the upward trend of the reaction rate caused by enhanced electron transfer, while maintaining the continuous participation of the oxidant in the reaction, so that the bisphenol A degradation process continues to advance continuously during the regulation process.

[0038] While the oxidant dosing rate is gradually reduced, the oxidant dosing rhythm is adjusted synchronously. The dosing time of the oxidant in each time period is recorded, and the time interval between two adjacent dosings is extended when entering the next time period, so that the oxidant dosing is gradually extended from a continuous time interval to a dosing method with longer intervals.

[0039] In the specific implementation process, after one oxidant addition is completed in the current time period, the reaction system is kept running for a period of time without the addition of new oxidant. This allows the oxidant added during this time period to continue participating in the reaction process. The next addition is then carried out at the end of this time period. By extending the addition cycle, the way the oxidant participates in the reaction process is changed from intensive addition to intermittent addition. This avoids the superposition of reaction intensity caused by multiple additions in a short period of time. It also allows the intermediate substances generated in the reaction process to be continuously transformed within adjacent addition intervals, thereby reducing the concentrated appearance of intermediate substances within a local time range.

[0040] After completing the synergistic treatment of gradually decreasing the oxidant addition acceleration rate and gradually extending the addition rhythm, the oxidant addition behavior during the entire reaction rate increase time interval forms a continuous change pattern of low addition acceleration rate - extended addition cycle - intermittent participation in the reaction. Under this pattern, the degree of oxidant participation in the reaction process is controlled, and the reaction rate during the reaction intensity change time interval gradually changes from a continuously increasing state to a stable change state. During this process, due to the decrease in oxidant addition acceleration rate and the slowing down of the addition rhythm, the formation of active species in the reaction process no longer occurs in a concentrated manner. At the same time, the electron transfer process remains continuous but does not undergo concentrated enhancement, so that the reaction path gradually recovers from the enhanced state to the stable state.

[0041] At the same time, due to the extended addition cycle, a continuous reaction time is formed between each addition, allowing the intermediate products that have been generated to continue to participate in the reaction and gradually transform before the introduction of new oxidants. This reduces the accumulation of intermediate products in a short period of time, keeps the entire reaction process in a continuous, smooth and controlled state of change within this time interval, and provides a stable basis for further reaction regulation.

[0042] The degradation process of bisphenol A was controlled in stages by adjusting the oxidant addition rate and rhythm, gradually transitioning the reaction rate increase interval to the stable reaction interval, so as to reduce the intermediate product formation rate and promote the continuous conversion of intermediate products. Based on the adjusted oxidant dosing rate and rhythm, the bisphenol A degradation process is continuously and segmented. By dividing the reaction process into time zones, the reaction rate acceleration period gradually transitions to the stable reaction period, thereby achieving synergistic regulation of the intermediate product formation and conversion processes. This ensures that the entire reaction process remains continuously advanced while entering a controlled state. The specific implementation process is as follows: Using the adjusted oxidant dosing rate and rhythm as the control basis, the reaction process is divided into multiple continuous sub-intervals within the reaction rate increase time interval according to time sequence. Each sub-interval is defined by adjacent time nodes, maintaining a continuous time sequence, so that each sub-interval corresponds to a specific stage in the reaction process. After completing the sub-interval division, the changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate are recorded synchronously within each sub-interval, so that each sub-interval forms a complete data representation. At the same time, the sub-intervals are arranged in time sequence, so that the reaction rate increase time interval forms a continuous segmented structure in the time dimension, thereby providing a clear interval division basis for subsequent segmented control and enabling the oxidant dosing rate and rhythm to be executed accordingly in each sub-interval.

[0043] Within each sub-interval, while maintaining the adjusted oxidant addition rate and rhythm, the bisphenol A degradation process is controlled segment by segment. At the beginning of each sub-interval, based on the bisphenol A concentration change trend within that sub-interval, the oxidant is controlled to participate in the reaction at the predetermined addition rate and rhythm, ensuring continuous degradation of bisphenol A within that sub-interval. Simultaneously, the oxidant addition interval is maintained within that sub-interval, resulting in a continuous reaction time within that sub-interval.

[0044] In this process, by limiting the amount of oxidant involved per unit time and controlling the addition interval, the reaction rate is prevented from continuously increasing within the sub-interval, thereby gradually weakening the increasing trend of the reaction rate in each sub-interval and transforming the reaction process from the original accelerated change state to a stable change state.

[0045] After controlling the bisphenol A degradation process within each sub-interval, the reaction states between adjacent sub-intervals are continuously connected. In subsequent sub-intervals, the oxidant addition rate and rhythm at the end of the previous sub-interval are maintained, ensuring a continuous transition between sub-intervals. Simultaneously, by extending the addition interval in subsequent sub-intervals, intermediate products already generated in the previous sub-interval continue to participate in the reaction process in the current sub-interval. In this process, by extending the reaction time without increasing the oxidant addition, intermediate products are gradually converted in consecutive sub-intervals, creating an alternating relationship between intermediate product generation and conversion processes in time. That is, generation is completed in one sub-interval, and conversion is completed in subsequent sub-intervals, thereby avoiding the concentrated generation and retention of intermediate products in a single time interval. This allows the reaction process to form a continuous conversion path under segmented control.

[0046] After continuous execution in multiple sub-intervals, the reaction rate increase interval gradually transitions to a stable reaction interval. Within the stable reaction interval, the bisphenol A concentration continuously decreases, oxidant consumption remains continuous but not concentrated, temperature changes remain stable, and the reaction rate no longer shows a continuous increasing trend, thus forming a stable reaction interval. Within this stable reaction interval, by maintaining the adjusted oxidant addition rate and rhythm, the oxidant's participation in the reaction process remains continuous and dispersed, ensuring a balance between the formation of active species and electron transfer processes, thereby allowing the bisphenol A degradation process to continue within the stable reaction interval. In this state, the intermediate product formation rate decreases, and within the continuous reaction time of each sub-interval, intermediate products can continuously participate in the reaction and gradually transform, extending their existence time in the reaction process without a concentrated increase in quantity. This achieves the effect of reducing the intermediate product formation rate and promoting continuous transformation of intermediate products, enabling the entire bisphenol A degradation process to transition from an unstable state to a stable state under segmented control.

[0047] Based on the degradation progress within the stable reaction range, the reaction intensity in the subsequent reaction process is continuously adjusted to restore the degradation process to a stable oxidation state, inhibit the accumulation of intermediate products and reduce fluctuations in effluent toxicity. By continuously utilizing the degradation progress already established within the stable reaction range and adjusting the reaction intensity during subsequent reactions, the entire degradation process maintains continuous and stable changes over time. This gradually restores the reaction process to a stable oxidation state, controlling the formation and transformation of intermediate products while suppressing changes in effluent toxicity. The specific implementation process is as follows: Around the time node corresponding to the end of the stable reaction interval, this time node is used as the starting point of the subsequent reaction process. After this starting point, the changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate are recorded point by point at fixed time intervals. The newly acquired time node data are then appended to the continuous change record corresponding to the stable reaction interval in chronological order, so that the original continuous change record is extended forward in the time dimension to form a new continuous change sequence.

[0048] In this extension process, each new time point corresponds to a complete set of information on changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate. The new data is kept consistent with the original data in the stable reaction range in terms of time interval. This ensures that there are no time breaks when the entire reaction process transitions from the stable reaction range to the subsequent reaction stage, thus forming a complete and continuous degradation progress trajectory. This allows the subsequent reaction process to directly inherit the reaction state in the stable reaction range.

[0049] By combining the data corresponding to subsequent time nodes in the above continuous change sequence, the reaction intensity is continuously adjusted. At each new time node, the corresponding changes in bisphenol A concentration, oxidant consumption, and temperature are read, and the data of this time node is compared with the data of the end time node of the stable reaction interval. When it is found that the oxidant consumption increases between two consecutive time nodes and the temperature rises between the same time nodes, the current addition rate is kept unchanged during the oxidant addition process at the next time node, and the time interval between two adjacent additions is kept consistent with the interval corresponding to the end of the stable reaction interval.

[0050] When the consumption of oxidant does not increase continuously and the temperature does not rise continuously in multiple consecutive time points, the current addition rate and rhythm are maintained in subsequent time points to keep the oxidant participating in the reaction process continuously and dispersedly. In this way, the reaction intensity is kept stable in the subsequent reaction process, avoiding the reaction rate from increasing again and keeping the degradation process under control over time.

[0051] During the continuous adjustment of reaction intensity, the generation and transformation of intermediate products are continuously controlled. After the addition of oxidant at each time point, the reaction system is kept running for a complete time interval without the participation of new oxidant. This allows the intermediate products generated at that time point to continue participating in the reaction process and completing their transformation in subsequent time points. In multiple consecutive time points, by repeatedly performing the operation of adding oxidant once, maintaining the reaction, and then adding it again, the intermediate products are gradually generated and transformed alternately over time. This ensures that the amount of intermediate products at any given time point remains dispersed and does not concentrate in a single time period, thereby inhibiting the accumulation of intermediate products and ensuring the continuous advancement of the bisphenol A degradation process, so that the degradation progress continues to extend in subsequent reaction processes.

[0052] After continuously performing the above adjustment process, the entire degradation process is gradually restored to a stable oxidation state. In this state, the concentration of bisphenol A continues to decrease at each time point, the consumption of oxidant participates in the process in a dispersed manner over time, the temperature maintains a gradual change relationship between each time point, and the reaction rate maintains a stable change level at consecutive time points.

[0053] During the maintenance of this stable oxidation state, by keeping the oxidant dosage rate and addition rhythm consistent across multiple time points, the generation of active species and electron transfer processes during the reaction are kept in equilibrium, ensuring that the reaction pathway does not shift over time, thereby preventing changes in the formation behavior of intermediate products. With this state continuously maintained, intermediate products gradually transform across multiple consecutive time points, and their content in the effluent maintains a stable decreasing trend over time. This keeps the variation in effluent toxicity within a stable range, thus reducing fluctuations in effluent toxicity and ensuring that the entire bisphenol A degradation process removes pollutants while maintaining continuous and stable effluent quality.

[0054] Example: A process data-driven method for bisphenol A degradation In this embodiment, a simulated water body with an initial bisphenol A concentration of 10 mg / L, an initial oxidant concentration of 0.05 mM, an initial pH of 6.45, and a reaction temperature maintained at approximately 25°C was selected for continuous reaction. The entire process data was recorded and compared for analysis.

[0055] Without process control, the reaction process was continuously monitored, and the following data were obtained: Table 1: Dynamic data of the reaction process under uncontrolled conditions;

[0056] Under these conditions, the bisphenol A removal rate was approximately 91.46% within 30 minutes, corresponding to a reaction rate constant of approximately 0.1413. As can be seen from the table, the reaction rate increased in stages within the 10-20 minute time period, the oxidant was consumed more quickly, the concentration of intermediate products accumulated rapidly, and the toxicity index rose from 0.31 to 0.60, showing obvious fluctuations.

[0057] Under the same initial conditions, the control method of this invention was introduced to continuously control the reaction process, and the following data were obtained: Table 2: Dynamic data of the reaction process under controlled conditions;

[0058] Under these controlled conditions, the bisphenol A removal rate remained within the range of approximately 89%-90% over 30 minutes. Compared to the uncontrolled condition, the reaction rate changed more gradually, the oxidant consumption remained stable, the peak concentration of intermediate products decreased from 4.6 mg / L to 2.8 mg / L, and then gradually decreased to 1.3 mg / L in subsequent stages. The toxicity index was consistently controlled below 0.35 without significant fluctuations.

[0059] Further verification was conducted under conditions of tap water and surface water, and the results are as follows: Table 3: Comparison data of actual water conditions; Unregulated ≥86 4.0-5.2 0.30-0.68 After regulation 88-90 2.3-3.1 0.28-0.38 The results above show that, under actual water conditions, the toxicity fluctuates significantly without regulation, while the toxicity changes are significantly reduced by using the method of this invention, while still maintaining a high removal efficiency.

[0060] In summary, this embodiment, while maintaining the original degradation performance, effectively suppressed the accumulation of intermediate products caused by abrupt changes in the reaction rate and reduced fluctuations in effluent toxicity by regulating the reaction process, thereby improving the stability of the water treatment process.

[0061] This invention constructs a continuous change record and identifies the locations where the reaction rate increases, enabling early perception and interval definition of changes in reaction intensity during the reaction process. This transforms the reaction state from a judgment based on experience to a continuous determination based on process data. When a trend of change in the reaction rate appears, targeted adjustments can be made, thereby avoiding the instability caused by a continuous increase in reaction intensity in a short period of time. This ensures that the bisphenol A degradation process remains stable throughout the entire operation, improving the controllability and continuity of the reaction process.

[0062] This invention dynamically adjusts the oxidant dosing rate and rhythm, combined with a segmented control strategy, to allow intermediate products to be gradually generated and continuously transformed within different time intervals. This reduces the occurrence of intermediate products concentrated in local time ranges. At the same time, it continuously adjusts the reaction intensity within the stable reaction range, keeping the degradation process in a stable oxidation state. This achieves continuous degradation of bisphenol A while reducing fluctuations in effluent toxicity, ensuring stable changes in effluent quality over time, and improving the safety and stability of the overall treatment process.

[0063] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A bisphenol A degradation method based on water treatment process data analysis, characterized in that, Includes the following steps: Information on changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate throughout the entire bisphenol A degradation reaction was collected, and a continuous change record was constructed in chronological order, marking the locations where the reaction rate increased in the continuous change record. Based on the marked positions of reaction rate increases in the continuous change record, the changes in oxidant consumption and temperature within the corresponding time interval are extracted to form reaction intensity change information, and the time interval of reaction intensity change is determined based on the reaction intensity change information. Based on the time interval of reaction intensity change, the oxidant addition acceleration rate and addition rhythm are adjusted. During the time interval of reaction rate increase, the oxidant addition acceleration rate is reduced and the addition cycle is extended to inhibit the continuous increase of reaction intensity. The degradation process of bisphenol A was controlled in stages by adjusting the oxidant addition rate and rhythm, gradually transitioning the reaction rate increase interval to the stable reaction interval, so as to reduce the intermediate product formation rate and promote the continuous conversion of intermediate products. Based on the degradation progress within the stable reaction range, the reaction intensity in subsequent reaction processes is continuously adjusted to restore the degradation process to a stable oxidation state, inhibit the accumulation of intermediate products, and reduce fluctuations in effluent toxicity.

2. The bisphenol A degradation method based on water treatment process data analysis according to claim 1, characterized in that, The various changes throughout the bisphenol A degradation reaction were processed using time series correlation to form a continuous record of changes, and the reaction rate variation range was determined through multivariate synchronous analysis. The specific steps included: Information on changes in bisphenol A concentration, oxidant consumption, and temperature was acquired and corresponding time node data was generated. At the same time, reaction rate changes were calculated by combining time intervals to form a unified dataset. According to a unified data set, the data at each time point are arranged and connected in chronological order to form a continuous change record, so that the information corresponding to each time point remains synchronized. The reaction rate change information in the continuous change record is compared segment by segment. The intervals of continuous increase in reaction rate are screened by combining the changes in oxidant consumption and temperature at the corresponding time nodes, and the positions of the increase in reaction rate are marked. By continuing the labeling results, the data of time nodes before and after the position of increased reaction rate are continuously arranged to form a change range. The change process of reaction intensity is characterized by the synchronous characteristics of changes in oxidant consumption and temperature.

3. The bisphenol A degradation method based on water treatment process data analysis according to claim 2, characterized in that, The location of the reaction rate increase was determined by the synchronous relationship between the reaction rate change trend and the changes in oxidant consumption and temperature in the continuous change record, and the corresponding time nodes were marked in the continuous change record to form a continuous interval expression of the reaction intensity change.

4. The bisphenol A degradation method based on water treatment process data analysis according to claim 2, characterized in that, The process of determining the time interval of reaction intensity change is achieved through multivariate correlation analysis of continuous change records. Interval extraction and intensity determination are performed by using time nodes corresponding to the positions where the reaction rate increases. Specifically, the process includes the following steps: Extract the time nodes corresponding to the positions where the reaction rate increases, and extend them forward and backward along the time sequence to obtain continuous time nodes to form an initial analysis interval. At the same time, read the oxidant consumption change information and temperature change information corresponding to each time node. The changes in oxidant consumption and temperature were compared point by point along the initial analysis interval, and the differences in changes between adjacent time points were recorded to form a time series relationship. Based on the time series relationship, the time periods in which the oxidant consumption changes continuously increase and the temperature changes continuously rise are divided to form the reaction intensity change interval, and the corresponding time nodes are marked. By extending the range of reaction intensity changes, the start and end time points of the range are defined, so that the information on reaction intensity changes forms a complete time range and characterizes the intensity change stages in the reaction process.

5. The bisphenol A degradation method based on water treatment process data analysis according to claim 4, characterized in that, Within the reaction intensity variation range, each time node simultaneously satisfies the conditions that the oxidant consumption changes continuously and the temperature changes continuously. The consistency of the change trend between each time node characterizes the reaction intensity variation process, thereby defining the criteria for determining the reaction intensity variation range.

6. The bisphenol A degradation method based on water treatment process data analysis according to claim 4, characterized in that, The oxidant dosing rate and dosing rhythm are controlled by varying the dosing over a continuous time period, specifically including the following steps: Divide the reaction intensity change time interval into continuous time nodes to form multiple time periods, and mark the time periods corresponding to the reaction rate increase time interval. At the same time, record the oxidant addition acceleration rate and addition time node corresponding to each time period. Based on the time period division results, the oxidant addition rate is adjusted for each time period within the time interval of reaction rate increase, and a continuous change process is formed by gradually reducing the oxidant addition rate in adjacent time periods. Based on the results of the acceleration rate adjustment, the corresponding injection time nodes for each time period are extended, and the injection rhythm is changed by increasing the time interval between adjacent injections. By combining changes in the rate of addition and the rhythm of addition, the oxidant addition behavior forms a continuous variation pattern. Through addition control within a time period, the reaction intensity is continuously enhanced and the reaction process is kept stable.

7. The bisphenol A degradation method based on water treatment process data analysis according to claim 6, characterized in that, The oxidant addition rate decreases continuously along the time interval corresponding to the increase in reaction rate. The oxidant addition rhythm is formed by extending the time interval between adjacent addition points to form an intermittent addition method.

8. The bisphenol A degradation method based on water treatment process data analysis according to claim 6, characterized in that, The segmented control of the bisphenol A degradation process is achieved through time interval division and continuous addition behavior. The reaction rate increase time interval is gradually transitioned to the stable reaction interval through continuous sub-interval control, specifically including the following steps: The reaction rate increase intervals are divided into continuous time nodes, forming multiple sub-intervals. At the same time, the changes in bisphenol A concentration, oxidant consumption, temperature, and reaction rate are recorded for each sub-interval. Based on the sub-interval division results, the bisphenol A degradation process was controlled in each sub-interval by maintaining the same oxidant addition rate and rhythm to complete the reaction process in each sub-interval. By continuing the addition behavior corresponding to each sub-interval, the reaction process between adjacent sub-intervals is continuously transitioned, and by maintaining the addition interval, intermediate products are encouraged to participate in the reaction of subsequent sub-intervals. By combining the continuous sub-interval change process, the time interval of increasing reaction rate is gradually transformed into a stable reaction interval. The formation rate of intermediate products is reduced and the continuous transformation of intermediate products is promoted through segmented control.

9. The bisphenol A degradation method based on water treatment process data analysis according to claim 8, characterized in that, The oxidant addition rate and rhythm are kept consistent within each sub-interval. The reaction time distribution is controlled by extending the addition interval, and the intermediate products are gradually converted and dispersed through the continuation of the reaction process in consecutive sub-intervals.

10. The bisphenol A degradation method based on water treatment process data analysis according to claim 8, characterized in that, The continuous regulation of reaction intensity is achieved through the extension of the stable reaction range and the continuous recording of changes. Subsequent reaction processes maintain a stable oxidation state through time series extension and dosing behavior control, specifically including the following steps: Extend the continuous change record corresponding to the stable reaction range, acquire the data of the new time nodes and form a continuous change sequence, and record the information of bisphenol A concentration change, oxidant consumption change, temperature change and reaction rate change. By combining the newly added time node data in the continuous change sequence, the changes in oxidant consumption and temperature at each time node are compared, and the oxidant addition rate and addition rhythm are kept consistent to maintain a stable reaction intensity. By continuing the addition behavior corresponding to each time node, and maintaining the reaction running time between adjacent time nodes, the intermediate products can participate in the reaction at subsequent time nodes and form a continuous transformation process. By combining the extended results of the continuous variation sequence, a stable oxidation state is maintained through dosage control within time nodes, thereby inhibiting the accumulation of intermediate products and reducing fluctuations in effluent toxicity.

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