A multi-channel partition synchronous titration-based drug administration simulation system and method

Abstract

The application relates to the technical field of sewage testing, in particular to a dosing simulation system based on multi-channel partition synchronous titration, which is characterized in that a plurality of non-overlapping subintervals are divided from a total interval of a medicament dosing amount in advance, so as to support parallel titration of a plurality of titration simulation modules and avoid data aliasing or interference caused by titration interval overlap; then, the same batch of submitted wastewater is synchronously distributed to the titration simulation modules by using a real-time wastewater shunting module to perform simulation titration, so as to realize high-time-efficiency parallel titration simulation; after the titration is completed, the discrete data pairs are returned; then, consistency checking is performed on the discrete data pairs to eliminate abnormal data; finally, global response data with a wider guiding dosing range are obtained through data splicing. Compared with the prior art, the method has higher time efficiency, a wider guiding dosing range and higher accuracy.

Description

Technical Field

[0001] This invention relates to the field of wastewater testing technology. More specifically, this invention relates to a dosing simulation system and method based on multi-channel partitioned synchronous titration. Background Technology

[0002] In the industrial wastewater testing and analysis process, the precise control of the dosage in a single dosing unit directly determines the heavy metal removal rate and operating costs. To ensure industrial wastewater discharge meets standards, testing and analysis units typically need to assist wastewater treatment plants in determining appropriate dosages. Currently, technical personnel mainly use the following methods to determine these dosages:

[0003] The first approach is a single-channel serial titration test. Specifically, the operator uses a single-channel titrator to gradually increase the dosage of chemicals in the same batch of wastewater. After each titration point, a sample is taken to test the concentration of remaining heavy metals, obtaining a discrete data pair. This process is repeated until the entire dosage range is covered. Although this method is simple in principle, it is extremely time-consuming for a single complete scan in scenarios where industrial wastewater quality fluctuates frequently. Often, by the time the optimization is completed, the influent water quality has changed, rendering the optimization results invalid.

[0004] The second approach involves multi-channel, multi-zone, synchronous titration devices. Taking Chinese patents such as CN220473457U and CN223205370U as examples, these disclose multi-channel titration equipment capable of simultaneous titration in multiple titration cups to improve batch testing efficiency. However, these devices typically use identical parameter configurations for multiple titration channels, aiming to improve detection accuracy and efficiency through repeated control experiments. They do not divide the dosing interval into different sub-intervals for parallel scanning in each channel, thus failing to solve the problem of rapidly covering large-span dosing intervals.

[0005] The third approach is model-based intelligent dosing prediction, as illustrated by Chinese patents with announcement numbers CN120409831B and CN214795714U. This type of solution relies on real-time sensor data or prediction models to directly output the dosing amount. Its drawbacks are: on the one hand, the accuracy of model prediction is highly dependent on the quality of historical data and control stability, and the model is prone to inaccuracy when the process conditions change abruptly; on the other hand, some solutions (such as CN119750750B) skip the determination step of the remaining heavy metal concentration in order to simplify the process and directly control the dosing amount through alternative parameters such as turbidity, which cannot provide a high-quality data foundation for the optimal process parameter system.

[0006] Therefore, existing technologies for guiding the application of chemicals in wastewater treatment mainly suffer from poor timeliness, a narrow scope of guidance, and insufficient accuracy. Summary of the Invention

[0007] To address the technical problems of poor timeliness, narrow guidance range for drug administration, and insufficient accuracy in the existing technologies, this invention discloses a drug administration simulation system and method based on multi-channel partitioned synchronous titration.

[0008] In a first aspect, the present invention discloses a dosing simulation system based on multi-channel partitioned synchronous titration, including a central control module, a wastewater real-time diversion module, multiple titration simulation modules and a data verification module; The central control module is used to divide the total range of drug dosage to be detected into multiple non-overlapping sub-ranges. The wastewater real-time diversion module is used to simultaneously distribute the same batch of wastewater to multiple titration simulation modules; Multiple titration simulation modules are used to load the dosage within their respective configured sub-intervals, so as to synchronously simulate the addition process of the same agent in different sub-intervals within the same time window, and send the water samples after the titration reaction is completed to test separately, returning discrete data pairs containing the titration solution volume, pH value and residual metal concentration; The data verification module is used to perform consistency verification on discrete data pairs in ascending order of drug dosage. The central control module is also used to stitch together the verified discrete data pairs into global response data and output it to the preset optimal process parameter system.

[0009] Beneficial effects: The system of this invention pre-divides the total dosage range of the drug into multiple non-overlapping sub-ranges to support parallel titration by multiple titration simulation modules and avoid data aliasing or interference caused by overlapping titration ranges. Then, the wastewater real-time diversion module synchronously distributes the wastewater samples from the same batch to the titration simulation module for simulated titration, achieving highly timely parallel titration simulation. After titration, discrete data pairs are returned for testing. Next, consistency checks are performed on the discrete data pairs to remove abnormal data. Finally, global response data with a wider guidance range for drug dosage is obtained through data splicing. Compared with existing technologies, the method of this invention has stronger timeliness, a wider guidance range for drug dosage, and higher accuracy.

[0010] Preferably, the data verification module is also configured as follows: If any discrete data pair shows a different trend relationship with the discrete data pairs in the adjacent sub-intervals, and the deviation of the adjacent data across the intervals exceeds the preset tolerance threshold, the corresponding titration simulation module is determined to be an experimental anomaly, and the corresponding abnormal sub-interval is triggered to repeat the experiment.

[0011] Preferably, the repeated trial process includes: The titration simulation module that caused the test failure can be driven to re-execute the titration simulation test within the failure sub-interval; or, the titration simulation module that caused the test failure can be deactivated, and an idle titration simulation module can be driven to execute the titration simulation test within the failure sub-interval.

[0012] Preferably, each titration simulation module is independently equipped with a metering pump, reaction vessel, stirring device and pH / ORP detection probe; the dosing start time of each titration simulation module is uniformly triggered by the central control module.

[0013] Preferably, the apparatus for dispersing the water sample after the reaction includes one or more of an ion-selective electrode, a spectrophotometer, or an X-ray fluorescence detector.

[0014] Preferably, the central control module encapsulates the spliced ​​global response data into standard data; the standard data includes timestamp, batch number, dosage of each channel, reaction time, pH value, residual heavy metal concentration, water temperature, and unique identifier of each channel.

[0015] Secondly, this invention discloses a drug dosing simulation method based on multi-channel partitioned synchronous titration, employing the drug dosing simulation system based on multi-channel partitioned synchronous titration described in the first aspect. The method of this invention includes: Based on the total range of the dosage of the drug to be tested, the total range of the dosage of the drug is divided into multiple non-overlapping sub-ranges; The wastewater samples from the same batch were simultaneously distributed to multiple titration simulation modules; Load the pre-configured dosage of each titration simulation module in the sub-interval to synchronously simulate the addition process of the same agent in different sub-intervals within the same time window. After the titration reaction is completed, send the water samples after the reaction separately for testing and return discrete data pairs containing the titration solution volume, pH value and residual metal concentration. Consistency checks were performed on discrete data pairs in ascending order of drug dosage. The verified discrete data pairs are spliced ​​together to form global response data, which is then output to the preset optimal process parameter system.

[0016] Preferably, before simultaneously distributing the same batch of wastewater samples to multiple titration simulation modules, this method further includes: An ultrasonic generator or a bottom jet device is used to homogenize and premix the temporary storage tank containing the wastewater to be tested.

[0017] Preferably, if the discrete data output by a certain titration simulation module fails the consistency check, this method further includes: Record the abnormal sub-intervals that failed the consistency check; Determine if there is an idle titration simulation module; If so, for the abnormal sub-interval, use the idle titration simulation module to perform a re-titering simulation and send it for testing; If not, for abnormal sub-intervals, wait for the current batch of titration simulation module to return the data and clean it before scheduling any titration simulation module to perform re-titering simulation and resubmission.

[0018] Preferably, the division of the total dosage range includes one or more combinations of equal division, logarithmic division, or non-uniform division based on prior knowledge.

[0019] The advantages of this invention, which differ from existing technologies, are as follows: Firstly, the system of the present invention loads non-overlapping drug dosing sub-intervals in each channel to scan the drug dosing intervals in parallel. Then, the time spent on interval titration and optimization is distributed to multiple channels, which greatly improves the overall efficiency and effectively avoids the problem of inaccurate test results caused by changes in the properties of the sampled water due to excessive waiting time.

[0020] Secondly, the method of this invention uses physical synchronous titration experiments to generate data, does not rely on historical data for modeling, and can still output reliable data through real-time physical simulation when operating conditions change abruptly.

[0021] Third, the system of this invention is particularly suitable for use in wastewater testing institutions or laboratories, improving the quality of wastewater testing services. Attached Figure Description

[0022] The above and other objects, features, and advantages of exemplary embodiments of the present invention will become readily apparent upon reading the following detailed description with reference to the accompanying drawings. In the drawings, several embodiments of the invention are illustrated by way of example and not limitation, and like or corresponding reference numerals denote like or corresponding parts, wherein: Figure 1 This is a schematic diagram of the drug dosing simulation system based on multi-channel partitioned synchronous titration in Embodiment 1 of the present invention; Figure 2 This is a flowchart of the drug dosing simulation method based on multi-channel partitioned synchronous titration in Embodiment 2 of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0025] Example 1 like Figure 1 As shown, this invention discloses a dosing simulation system based on multi-channel partitioned synchronous titration, including a central control module, a wastewater real-time diversion module, multiple titration simulation modules, and a data verification module.

[0026] The central control module is used to divide the total range of drug dosage to be detected into multiple non-overlapping sub-ranges.

[0027] Specifically, the system in this embodiment can first obtain the initial heavy metal concentration, pH value and other a priori water quality parameters of the current raw water, and then, in combination with historical process data or theoretical chemical reaction equivalents, determine a total range sufficient to cover the complete dosage of the reagent or the target pH from "underdosing" to "overdosing".

[0028] Furthermore, considering the complexity of water quality fluctuations at the testing sites, three partitioning modes can be flexibly invoked in the central control module: equal partitioning, logarithmic partitioning, and non-uniform partitioning based on prior knowledge. Equal partitioning is suitable for blind testing phases where water quality is completely unknown, dividing the total dosage range into N equal parts. Logarithmic partitioning is suitable for scenarios requiring coverage of extremely high concentration ranges, such as dealing with sudden, extremely high concentration influent. Non-uniform partitioning based on prior knowledge allocates denser sub-intervals (i.e., assigns more channel resources) near historical compliance thresholds (i.e., near the most likely optimal dosing point), while allocating broader sub-intervals to obviously ineffective extremely low or extremely high dosage ranges, thereby improving the scanning resolution of critical areas. In this embodiment, the number of sub-intervals is at least three, covering at least the initial stage of the titration reaction, the middle stage of the violent reaction, and the later stage of the titration steady state.

[0029] The above technical solutions can not only effectively expand the scope of drug dosing guidance, but also improve the timeliness of simulated titration.

[0030] Among them, the wastewater real-time diversion module is used to simultaneously distribute the wastewater from the same batch to multiple titration simulation modules.

[0031] Furthermore, before extracting and diverting the wastewater for testing, the system in this embodiment initiates an anti-sedimentation homogenization process. The raw water storage tank is pre-mixed for at least 3 minutes using a built-in ultrasonic generator or bottom jet device to prevent suspended heavy metals (SS) from settling, thereby ensuring a high degree of initial concentration consistency for the water samples distributed to the N modules.

[0032] In addition, before the formal distribution of wastewater for testing, the system in this embodiment can first take an equal amount of deionized water as a blank sample and divert it to each channel to perform a baseline scan without reagents, thereby eliminating the interference of heavy metal background values ​​that may be introduced by pipeline residues or reagents themselves.

[0033] More specifically, the aforementioned wastewater real-time diversion module utilizes a high-precision multi-way distribution valve or an array-type micro-peristaltic pump to pump equal volumes of homogenized wastewater into N independent modules simultaneously.

[0034] Among them, multiple titration simulation modules are used to load the dosage in their respective configured sub-intervals, so as to synchronously simulate the addition process of the same agent in different sub-intervals within the same time window, and send the water samples after the titration reaction is completed to test them separately, returning discrete data pairs containing the titration solution volume, pH value and residual metal concentration.

[0035] In this embodiment, each titration simulation module is independently equipped with a metering pump, a reaction vessel, a stirring device, and a pH / ORP detection probe. The dosing start time of each titration simulation module is uniformly triggered by the central control module. Furthermore, the device used to disperse and test the water sample after the reaction includes one or more of the following: an ion-selective electrode, a spectrophotometer, or an X-ray fluorescence detector.

[0036] Specifically, before the dosing begins, the system in this embodiment automatically drives pure water to clean the raw water detection tanks and sensor probes of each channel, and calls standard buffer solutions (pH 4.00 / 6.86 / 9.18 standard solutions) to perform multi-point calibration of the independently configured pH / ORP sensors in each channel, ensuring that the drift error is controlled within ±0.05. Since each titration simulation module is equipped with an independent micro-metering pump, reaction vessel, and stirring device, after the central control module issues a unified trigger command, the metering pumps of each module synchronously inject the reagent according to the dosage of the sub-interval, which can be the median or endpoint value of the sub-interval. Simultaneously, each titration simulation module performs a proportionally scaled simulation of the hydraulic conditions, such as stirring speed and reaction residence time, based on the engineering parameters of a single dosing unit in the actual process, such as a coagulation reaction tank or sedimentation tank.

[0037] The above technical solution enhances the independent working capability of the titration simulation module, ensuring that the titration simulation modules do not interfere with each other, and directly avoids the experimental errors caused by single-channel serial titration experiments.

[0038] Furthermore, after each titration simulation module reaches the preset reaction time, the system in this embodiment automatically extracts the supernatant through the filter membrane assembly to simulate precipitation separation; then, rapid concentration determination is performed using independent ion-selective electrodes, spectrophotometers, or X-ray fluorescence detectors for each channel.

[0039] After the test is completed, the system in this embodiment forcibly executes the waste liquid treatment process, adding hydrogen peroxide or sodium hypochlorite to the temporary storage tank to oxidize the residual sulfur ions or break down the complexes, and adjusting the final pH to 6-9.

[0040] This embodiment of the system also introduces an interlocking mechanism, specifically: Once the toxic gas sensor in the waste liquid tank reads 0 and the pH meets the standard, the forced discharge lock is released, and the waste liquid is collected separately and temporarily stored safely in accordance with laboratory hazardous waste disposal regulations.

[0041] The data verification module is used to perform consistency verification on discrete data pairs in ascending order of drug dosage.

[0042] Specifically, under normal circumstances, in N titration simulation modules, the system in this embodiment can randomly select two adjacent modules and set the same parameters to perform parallel two-sample titration. If the detected relative deviation (RD) of heavy metal concentration is greater than the set threshold (e.g., 10%), it is determined that the batch is unevenly split or the reaction is incomplete, and the data of this round is automatically discarded and a retest is started.

[0043] Furthermore, the aforementioned data verification module is also configured as follows: If any discrete data pair shows a different trend relationship with the discrete data pairs in the adjacent sub-intervals, and the deviation of the adjacent data across the intervals exceeds the preset tolerance threshold, the corresponding titration simulation module is determined to be an experimental anomaly, and the corresponding abnormal sub-interval is triggered to repeat the experiment.

[0044] It should be explained that if any discrete data pair and its adjacent sub-interval discrete data pair show a decreasing or unchanged trend in heavy metal concentration with increasing titration volume, then they belong to the same trend relationship. Conversely, they are not of the same trend relationship. Based on the premise of the same trend, the inter-interval adjacent data (generally the sub-interval boundary concentration values) should not exceed a preset tolerance threshold (e.g., 10%). If neither of the above two conditions is met, the corresponding titration simulation module is determined to be an experimental anomaly, and the corresponding abnormal sub-interval is triggered for repeated testing.

[0045] In this embodiment, the process of repeating experiments is specifically as follows: The titration simulation module that caused the test failure can be driven to re-execute the titration simulation test within the failure sub-interval; or, the titration simulation module that caused the test failure can be deactivated, and an idle titration simulation module can be driven to execute the titration simulation test within the failure sub-interval.

[0046] The above technical solution can effectively avoid the situation where the concentration detection is inaccurate due to the failure of some data verification modules or drug residue, thus effectively improving the reliability and accuracy of the system in this embodiment.

[0047] After all the above modules have been executed, the central control module is also used to stitch together the qualified discrete data pairs into global response data and output it to the preset optimal process parameter system.

[0048] The central control module further encapsulates the spliced ​​global response data into standard data. This standard data includes timestamps, batch numbers, dosage for each channel, reaction time, pH value, residual heavy metal concentration, water temperature, and a unique identifier for each channel. For data from sub-intervals that have experienced abnormal retesting, an abnormal retest tag can be assigned to facilitate data traceability.

[0049] It should be further explained that after receiving the standard data, the optimal process parameter system, considering the complex phenomena such as the dissociation of polynuclear complexes in chemical precipitation that can easily lead to abrupt changes in the curve, introduces the CubicSpline (cubic spline interpolation) algorithm in this embodiment to ensure the continuity of the heavy metal fitting curve on the first and second derivatives. Specifically, the above-mentioned heavy metal fitting curve uses the titration volume as the x-axis and the heavy metal concentration as the y-axis. Then, a large number of virtual dosing points are smoothly interpolated among N finite physical data points to realistically reconstruct the kinetic trajectory of heavy metal precipitation.

[0050] In the actual optimization process, the system in this embodiment mainly adopts a dual-objective optimization locking strategy to find the most economical and safe critical inflection point.

[0051] Specifically, in this embodiment, the system differentiates the fitted curve, using the tangent slope (marginal benefit, i.e., the concentration reduction achieved by adding 1 mL of drug) as the core evaluation criterion. The dual-objective optimization locking strategy traverses to the right within the set satisfying the safety threshold. When the absolute value of the tangent slope is less than the dynamic threshold, it is determined to have entered the ineffective drug consumption zone. At this point, the system performs forced truncation, locking the point that just before triggering the dynamic threshold and precisely meets the minimum value of the safety threshold as the optimal input volume.

[0052] Finally, a large language model can be integrated to perform semantic analysis and report generation on the above-mentioned optimal input volume and its related contextual data, resulting in the "Over-injection Risk Assessment Report".

[0053] The report, based on a pre-set template, states: "If X liters of reagent are added excessively using the traditional method, the heavy metal concentration will only decrease by Y%, but it will increase the cost by Z yuan and increase the risk of secondary pollution residue at the W concentration." This provides a precise basis for preventing excessive addition in actual production.

[0054] Example 2 like Figure 2 As shown, this invention discloses a drug dosing simulation method based on multi-channel partitioned synchronous titration, using the drug dosing simulation system based on multi-channel partitioned synchronous titration described in Example 1. Specifically, the method in this embodiment includes: S10: Based on the total range of the dosage of the drug to be detected, divide the total range of the dosage of the drug into multiple non-overlapping sub-ranges.

[0055] In this embodiment, the total range of the above-mentioned reagent dosage is obtained using the built-in script of the system described in Example 1, which acquires prior water quality parameters such as the initial heavy metal concentration and pH value of the current raw water. Then, the data records of the testing unit are retrieved, and its process history data or theoretical chemical reaction equivalent is extracted to determine a total range covering the complete reagent dosage or target pH from "underdosing" to "overdosing" and this range is used as the total reagent dosage range. The division method of the total reagent dosage range includes one or more combinations of equal division, logarithmic division, or non-uniform division based on prior knowledge, and the specific details have been explained in Example 1 and will not be repeated here.

[0056] During the data processing in step S10, at the device execution level, an ultrasonic generator or a bottom jet device can be used simultaneously to homogenize and premix the temporary storage tank containing the wastewater to be tested. On the one hand, this can prevent heavy metal suspended matter from settling to the bottom, which would cause the initial concentration of the water samples distributed to multiple titration simulation modules to be inconsistent. On the other hand, it can save the time spent on testing and effectively improve the efficiency of industrial wastewater testing.

[0057] S20: Simultaneously distribute the wastewater samples from the same batch to multiple titration simulation modules.

[0058] It should be noted that the selected titration simulation modules can be all the titration simulation modules in the system described in Example 1, or several titration simulation modules can be left empty for future use. When a certain consistency check fails, the titration simulation module is selected as a candidate to support retesting.

[0059] S30: Load the pre-configured dosage of each titration simulation module in the sub-interval to synchronously simulate the addition process of the same agent in different sub-intervals within the same time window, and send the water sample after the titration reaction is completed to return discrete data pairs containing the titration solution volume, pH value and residual metal concentration.

[0060] In this embodiment, the residual metal concentration of the water sample after the above reaction is mainly detected by one or more of the following: ion-selective electrode, spectrophotometer, or X-ray fluorescence detector; the titration volume can be obtained from a metering pump; and the pH value depends on the pH / ORP detection probe.

[0061] S40: Perform consistency checks on discrete data pairs in ascending order of drug dosage.

[0062] The consistency verification mechanism is configured in the system of Implementation Example 1. Its specific mechanism has been clearly explained and will not be repeated here.

[0063] Furthermore, if the discrete data output by a certain titration simulation module fails the consistency check, the method in this embodiment also includes: First, record the abnormal sub-intervals that fail the consistency check; then determine if there is an idle titration simulation module; if so, for the abnormal sub-interval, use an idle titration simulation module to perform re-titering simulation and submit for testing; if not, for the abnormal sub-interval, wait for the current batch of titration simulation modules to submit for testing and return data, and after cleaning, schedule any titration simulation module to perform re-titering simulation and submit for testing.

[0064] The above technical solution effectively avoids the impact of a titration simulation module with consistency verification anomalies on the global titration simulation, thereby improving the detection accuracy and reliability of the method in this embodiment.

[0065] It should be noted that, in order to ensure that the simulation experimental data strictly comply with the relevant laboratory water quality testing standards of the Ministry of Ecology and Environment of China, such as the HJ91.1-2019 Technical Specification for Wastewater Monitoring, the following standardized laboratory operating procedures can be performed before or after the titration simulation in this embodiment: First, calibrate automated instruments and use blank controls.

[0066] Second, before extracting the wastewater for testing, the system automatically flushes all testing instruments and containers, the inner walls of multiple synchronous titration modules, and sensor probes with pure water. Subsequently, standard buffer solution is used to calibrate the pH sensor at multiple points to ensure that the drift error is within ±0.05.

[0067] Third, before distributing the actual wastewater, take an equal amount of deionized water as a blank sample and perform a baseline scan without reagents to eliminate interference from heavy metal background values ​​that may be introduced by pipeline residues or the reagents themselves. S50: The verified discrete data pairs are spliced ​​together into global response data and output to the preset optimal process parameter system.

[0068] It is important to clarify that in heavy metal chemical precipitation processes, the relationship between reagent dosage and heavy metal removal rate exhibits a typical highly nonlinear and gradual distribution, displaying an "L"-shaped decay curve. Traditional manual experience often leads to an overdosing strategy—preferring more rather than less—to ensure effluent meets standards. This not only causes a surge in reagent costs but also triggers serious secondary pollution. For example, excessive sodium sulfide can lead to increased COD in the effluent and the generation of foul-smelling toxic gases. This is particularly dangerous when operating indoors, and long-term operation can directly harm the health of personnel involved.

[0069] This embodiment incorporates an optimization algorithm within the optimal process parameter system. This algorithm primarily achieves a dual balance between economy and safety by fitting the drop volume-residual heavy metal concentration curve. Its specific logic is as follows: First, local oscillations are eliminated using cubic spline interpolation: Due to the complex phenomena such as dissociation of polynuclear complexes and coprecipitation in chemical reactions, the actual measured discrete points will show abrupt changes in the line when directly connected. Therefore, the cubic spline interpolation algorithm used in this embodiment ensures the continuity of the first derivative (concentration change rate) and second derivative (acceleration) of the curve at each data point. This allows the system to smoothly and accurately interpolate hundreds or thousands of virtual dosing points across N finite physical titration gradients, thereby reconstructing the true chemical precipitation kinetic trajectory.

[0070] Then, the most economical / safe critical inflection point is identified through dual-objective optimization: In traditional technologies, because the concentration of heavy metals decreases extremely slowly at the end of the process, if only the dosage range that just meets the emission standards is found, then in order to reduce the concentration of heavy metals from 0.4 mg / L to 0.3 mg / L, it may be necessary to add an additional 50% of the dosage.

[0071] Therefore, in this embodiment, the method primarily uses the slope of the tangent line obtained by differentiation to represent the marginal benefit of the reagent, i.e., how much the concentration is reduced by adding 1 mL of reagent. During this locking process, the algorithm iterates to the right within the set that meets the safety compliance threshold (e.g., 90% of the national emission standard, i.e., leaving a safety margin). When the absolute value of the slope is found to be less than the ineffective reagent consumption value, it is determined that the chemical reaction has entered the ineffective reagent consumption zone. The aforementioned specific value is dynamically set based on the reagent unit price and pollution discharge penalty standards.

[0072] During the output phase, a forced truncation is performed, and the minimum point where the absolute value of the slope is less than the ineffective drug consumption value and just meets the emission standards is extracted as the optimal input volume.

[0073] Finally, when sending the relevant guidelines for actual drug dosage to the submitting unit via the communicator, not only is the final dosage output, but also an "Overdosing Risk Assessment Report" is generated based on a curve algorithm. While this report can be polished with current popular artificial intelligence models, the accurate meaning of the original output data must not be altered. The report will visually demonstrate that "if X liters of reagent are overdosed using traditional methods, the heavy metal concentration will only decrease by Y%, but it will increase the reagent cost by Z yuan and increase the risk of sulfur ion residue at a concentration of W." This provides effective data support for the refined operation of wastewater treatment plants.

[0074] Based on the above technical discussion, compared with the following existing technologies, this method has at least the following technical advantages: Firstly, the present invention loads non-overlapping drug delivery sub-intervals in each channel, with the aim of scanning the drug delivery intervals in parallel, which can distribute the time spent on interval optimization to each channel, thereby improving the overall efficiency by N times.

[0075] Secondly, the present invention uses physical synchronous titration experiments to generate data, does not rely on historical data for modeling, and can still output reliable data through real-time physical simulation when operating conditions change abruptly.

[0076] Thirdly, this invention links the titration simulation module with heavy metal detection to output discrete numerical pairs, providing a basis for constructing accurate response curves for the optimal process parameter system.

[0077] Fourthly, this invention does not directly output dosing instructions, but exists as a front-end data generation subsystem, forming a parent-child collaboration with the downstream optimal process parameter system and the dosing drive system.

[0078] In the description of this specification, "multiple" means at least two, such as two, three or more, etc., unless otherwise expressly and specifically defined.

[0079] While this specification has shown and described numerous embodiments of the invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Many modifications, alterations, and alternatives will occur to those skilled in the art without departing from the spirit and essence of the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in the practice of this invention.

Claims

1. A drug dosing simulation system based on multi-channel partitioned synchronous titration, characterized in that, It includes a central control module, a real-time wastewater diversion module, multiple titration simulation modules, and a data verification module; The central control module is used to divide the total range of drug dosage to be detected into multiple non-overlapping sub-ranges. The wastewater real-time diversion module is used to simultaneously distribute the same batch of wastewater to multiple titration simulation modules; Multiple titration simulation modules are used to load the dosage within their respective configured sub-intervals, so as to synchronously simulate the addition process of the same agent in different sub-intervals within the same time window, and send the water samples after the titration reaction is completed to test separately, returning discrete data pairs containing the titration solution volume, pH value and residual metal concentration; The data verification module is used to perform consistency verification on the discrete data pairs in order of increasing dosage. The central control module is also used to stitch together the verified discrete data pairs into global response data and output it to the preset optimal process parameter system.

2. The drug dosing simulation system based on multi-channel partitioned synchronous titration according to claim 1, characterized in that, The data verification module is also configured to: If any discrete data pair shows a different trend relationship with the discrete data pairs in the adjacent sub-intervals, and the deviation of the adjacent data across the intervals exceeds the preset tolerance threshold, the corresponding titration simulation module is determined to be an experimental anomaly, and the corresponding abnormal sub-interval is triggered to repeat the experiment.

3. The drug dosing simulation system based on multi-channel partitioned synchronous titration according to claim 2, characterized in that, The repeated trial process includes: The titration simulation module that caused the test failure can be driven to re-execute the titration simulation test within the abnormal sub-interval; or, the titration simulation module that caused the test failure can be deactivated, and an idle titration simulation module can be driven to execute the titration simulation test within the abnormal sub-interval.

4. The drug dosing simulation system based on multi-channel partitioned synchronous titration according to claim 1, characterized in that, Each titration simulation module is independently equipped with a metering pump, reaction vessel, stirring device, and pH / ORP detection probe; the dosing start time of each titration simulation module is uniformly triggered by the central control module.

5. The drug dosing simulation system based on multi-channel partitioned synchronous titration according to claim 1, characterized in that, Devices used to disperse water samples after the reaction include one or more of an ion-selective electrode, a spectrophotometer, or an X-ray fluorescence detector.

6. The drug dosing simulation system based on multi-channel partitioned synchronous titration according to claim 1, characterized in that, The central control module encapsulates the spliced ​​global response data into standard data; the standard data includes timestamp, batch number, dosage of each channel, reaction time, pH value, residual heavy metal concentration, water temperature, and unique identifier of each channel.

7. A drug dosing simulation method based on multi-channel partitioned synchronous titration, characterized in that, The method of using the drug dosing simulation system based on multi-channel partitioned synchronous titration as described in any one of claims 1-6 includes: Based on the total range of drug dosage to be detected, the total range of drug dosage is divided into multiple non-overlapping sub-ranges; The wastewater samples from the same batch were simultaneously distributed to multiple titration simulation modules; Load the pre-configured dosage of each titration simulation module in the sub-interval to synchronously simulate the addition process of the same agent in different sub-intervals within the same time window. After the titration reaction is completed, send the water samples after the reaction separately for testing and return discrete data pairs containing the titration solution volume, pH value and residual metal concentration. The discrete data pairs are subjected to consistency verification in order of increasing dosage. The verified discrete data pairs are spliced ​​together to form global response data, which is then output to the preset optimal process parameter system.

8. The drug dosing simulation method based on multi-channel partitioned synchronous titration according to claim 7, characterized in that, Before simultaneously distributing the same batch of wastewater samples to multiple titration simulation modules, the method further includes: An ultrasonic generator or a bottom jet device is used to homogenize and premix the temporary storage tank containing the wastewater to be tested.

9. The drug dosing simulation method based on multi-channel partitioned synchronous titration according to claim 7, characterized in that, If the discrete data output by a titration simulation module fails the consistency check, the method further includes: Record the abnormal sub-intervals that failed the consistency check; Determine if there is an idle titration simulation module; If so, for the abnormal sub-interval, use an idle titration simulation module to perform a re-titering simulation and send it for testing; If not, for the abnormal sub-interval, after the current batch titration simulation module has sent and cleaned the returned data, any titration simulation module will be scheduled to perform re-titration simulation and send the data for testing.

10. The drug dosing simulation method based on multi-channel partitioned synchronous titration according to claim 7, characterized in that, The method of dividing the total range of drug dosage includes one or more combinations of equal division, logarithmic division, or non-uniform division based on prior knowledge.

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