Intelligent control method for suspended solids concentration of msbr effluent based on multi-parameter optimization

Abstract

The present application relates to sewage treatment technical field, the present application provides a kind of based on multi-parameter optimization's MSBR effluent suspended solids concentration intelligent regulation and control method, comprising: collecting the sample index parameter information of MSBR batch tank in historical period in sewage treatment plant;Calculate sample index characteristic representation value;Based on the comparison result of sample index characteristic representation value and predetermined threshold value determine whether process meets stability risk standard;When meeting stability risk standard, the process index parameter information of MSBR batch tank in historical period in sewage treatment plant is collected, and process index characteristic representation value is calculated;Based on the difference result of process index characteristic representation value and predetermined process index characteristic representation threshold value determine whether process operation meets standard;If process operation does not meet standard, then determine corresponding processing strategy.The present application improves the effluent quality of sewage treatment plant MSBR biochemical system and the efficiency of water quality regulation and control.

Description

Technical Field

[0001] This application relates to the field of wastewater treatment technology, and in particular to an intelligent control method for suspended solids concentration in MSBR effluent based on multi-parameter optimization. Background Technology

[0002] Modified sequential batch reactor (MSBR) is a widely used technology in modern wastewater treatment. It combines the advantages of AAO and SBR processes to achieve efficient removal of pollutants such as organic matter, nitrogen, and phosphorus. In actual operation, the stability of suspended solids (SS) concentration in MSBR effluent is one of the key indicators for measuring the effectiveness of the process. If the effluent SS concentration exceeds the design value, it will not only lead to an increase in the concentration of other pollutants in the effluent, but also increase the operating cost of the advanced wastewater treatment process. Currently, MSBR process control mainly relies on a combination of fixed-sequence automated control and operator experience-based judgment. It lacks real-time, interconnected analysis of key process parameters and cannot dynamically respond to instantaneous fluctuations in MSBR influent load, changes in sludge concentration, sludge layer thickness during sedimentation, and changes in the sludge volume index, which characterizes sludge settling performance. When process parameters change significantly, the system cannot make predictive adjustments before problems occur; manual intervention is only possible after a significant increase in effluent suspended solids concentration or turbidity, resulting in a significant time lag. To ensure MSBR effluent quality, blindly extending sludge discharge time or increasing sludge return flow and aeration intensity not only fails to fundamentally stabilize effluent suspended solids concentration but also significantly increases energy consumption in aeration and sludge return processes, leading to increased operating costs and failing to ensure stable operation of the MSBR biological system.

[0003] Chinese Patent Publication No. CN120172535A discloses a method, system, and electronic equipment for controlling an activated sludge process. The method includes: acquiring activated sludge property evaluation information; matching the activated sludge property evaluation information with data in a biochemical sludge activity standard database; and implementing negative feedback optimization of the activated sludge system operating conditions for activated sludge property evaluation information that does not match the biochemical sludge activity standard database. The method for controlling the activated sludge process provided by this invention achieves stable and reliable operation of the activated sludge process based on a constructed biochemical sludge activity standard database. The system control logic and signal strength parameters have been calibrated with extensive data and adaptive control is achieved based on real-time monitoring results, resulting in greater timeliness. This allows the actual operating conditions to continuously approach the ideal operating point, significantly reducing the risk of system imbalance and substantially reducing labor costs.

[0004] Chinese Patent Publication No. CN113845213A discloses a method for controlling a sequencing batch reactor (SBR) aerobic activated sludge process, belonging to the field of biological wastewater treatment. In the aerobic treatment system, by combining the addition of exogenous chemicals with periodic aeration control, free nitrite is used to inhibit nitrite-oxidizing bacteria, ensuring that ammonia-oxidizing bacteria are dominant and rapidly achieving ammonia oxidation, thereby maintaining the stable accumulation of nitrite nitrogen in the SBR effluent. This method of rapid and stable domestication of ammonia-oxidizing microorganisms results in a short start-up time, high efficiency, and no need for strict control of low dissolved oxygen environments during operation. It yields highly active aerobic activated sludge rich in ammonia-oxidizing microorganisms. When applied to the treatment of high-concentration ammonia nitrogen wastewater, it can increase the volumetric loading of the reactor, thereby reducing equipment size and floor space.

[0005] Therefore, it is evident that the existing technology has the following problems:

[0006] Existing technologies cannot dynamically respond to fluctuations in influent load, changes in sludge concentration, thickness of settled sludge layer, and sludge volume index. They require manual intervention to regulate influent flow and replenish sludge return flow and timing. The inability to accurately determine sludge status in real time leads to continuous fluctuations in effluent suspended solids concentration, which fails to meet quality standards and increases energy consumption in sludge discharge, aeration, and return processes. Summary of the Invention

[0007] To address this, the present invention provides an intelligent control method for suspended solids concentration in MSBR effluent based on multi-parameter optimization. This method overcomes the problems in existing technologies that fail to consider multi-parameter fusion sensing and real-time monitoring and status diagnosis of influent load, sludge concentration, sedimentation layer thickness, and sludge volume index, resulting in lagging control, substandard effluent suspended solids concentration quality leading to increased energy consumption and low system control efficiency.

[0008] To achieve the above objectives, this invention provides a method for intelligent control of suspended solids concentration in MSBR effluent based on multi-parameter optimization, comprising:

[0009] Collect sample index parameter information from the historical cycle of the sequencing batch reactor in the wastewater treatment plant;

[0010] Calculate the characteristic representation value of the sample index based on the sample index parameter information;

[0011] Based on the comparison results of the sample index feature characterization values ​​with the predetermined first feature characterization threshold and the comparison results of the sample index feature characterization values ​​with the predetermined second feature characterization threshold, it is determined whether the process meets the stability risk standard.

[0012] When the stability risk standard is met, process index parameter information of the sequencing batch tank of the wastewater treatment plant is collected within the historical period, and the process index characteristic value is calculated based on the process index parameter information.

[0013] Whether the process operation meets the standard is determined based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold.

[0014] If the process operation does not meet the standard, the corresponding processing strategy is determined based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold.

[0015] The sample index parameters include: influent load, sludge thickness, sludge concentration, and sludge volume index.

[0016] The process parameters include: sludge discharge time and effluent turbidity change rate.

[0017] Furthermore, the process of calculating the sample indicator feature representation value from the sample indicator parameter information includes:

[0018] Collect influent load, sludge thickness, sludge concentration, and sludge volume index of the sequencing batch tank of the wastewater treatment plant during historical cycles.

[0019] The ratio of the calculated influent load to the predetermined influent load threshold is determined as the first characteristic limiting characterization parameter;

[0020] The ratio of the sludge thickness to a predetermined sludge thickness threshold is determined as the second characteristic limiting characterization parameter;

[0021] The ratio of the predetermined sludge concentration threshold to the sludge concentration is determined as the third characteristic limiting characterization parameter.

[0022] The ratio of the calculated sludge volume index to the predetermined sludge volume index threshold is determined as the fourth characteristic limiting characterization parameter;

[0023] The summation of the first feature-limited representation parameter, the second feature-limited representation parameter, the third feature-limited representation parameter, and the fourth feature-limited representation parameter is determined as the sample index feature representation value.

[0024] Furthermore, the process of determining whether the process meets the stability risk standard by comparing the sample index feature values ​​with a predetermined first feature threshold and the sample index feature values ​​with a predetermined second feature threshold includes:

[0025] If the sample index characteristic value is less than or equal to the predetermined first characteristic threshold, then the process is determined to meet the stability risk standard.

[0026] If the sample index characteristic value is greater than the predetermined first characteristic value threshold and less than the predetermined second characteristic value threshold, then the process is determined to be in the critical safety window.

[0027] If the sample index characteristic value is greater than or equal to the predetermined second characteristic characteristic threshold, the process is determined to be non-compliant with the stability risk standard.

[0028] Furthermore, the process by which wastewater treatment plants take measures when the process is at a critical safety window includes:

[0029] If the process is in a critical safety window, the sample is determined to have stability risks, and sludge recirculation is initiated based on the thickness and density of the settled sludge layer.

[0030] Furthermore, the process by which wastewater treatment plants take corresponding treatment strategies when processes fail to meet stability risk standards includes:

[0031] If the process does not meet the stability risk standard, it is determined that the sludge settling performance deteriorates in the early stage of the effluent stage, and the sludge return sequence is optimized.

[0032] Furthermore, when the stability risk criteria are met, the process of collecting process indicator parameter information from the historical cycle of the sequencing batch reactor in the wastewater treatment plant, and calculating the characteristic values ​​of the process indicators based on the process indicator parameter information, includes:

[0033] Collect data on sludge discharge duration and effluent turbidity variation rate during the historical cycle of the sequencing batch tank in the wastewater treatment plant.

[0034] The ratio of the calculated sludge discharge time to the predetermined sludge discharge time threshold is determined as the first process-limited characterization parameter;

[0035] The ratio of the effluent turbidity change rate to the predetermined effluent turbidity change rate threshold is determined as the second process-defined characterization parameter.

[0036] The summation of the first process-limited characterization parameter and the second process-limited characterization parameter is determined as the characteristic value of the process index.

[0037] Furthermore, the process of determining whether the process operation meets the standard by comparing the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold includes:

[0038] Calculate the difference between the process indicator feature value and the predetermined process indicator feature threshold;

[0039] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is less than the predetermined first difference threshold, then the process operation is determined to meet the standard.

[0040] Furthermore, the process of determining whether the process operation does not meet the standard by the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold includes:

[0041] Calculate the difference between the process indicator feature value and the predetermined process indicator feature threshold;

[0042] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than or equal to the predetermined first difference threshold, then the process operation is determined to be non-compliant with the standard.

[0043] Furthermore, when the process operation does not meet the standard, the process of determining the corresponding processing strategy based on the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator includes:

[0044] Calculate the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator;

[0045] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than the predetermined first difference threshold and less than the predetermined second difference threshold, then it is determined that the sludge discharge operation time exceeds the safety value, and a treatment strategy for adjusting the sludge discharge pump time of the sequencing batch tank is determined, that is, reducing the sludge discharge time of the sludge discharge pump.

[0046] Furthermore, when the process operation does not meet the standard, the process of determining the corresponding processing strategy based on the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator includes:

[0047] Calculate the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator;

[0048] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than or equal to the predetermined second difference threshold, then it is determined that the effluent turbidity has a sudden change trend, and a micro-regulating valve treatment strategy for the effluent stage of the regulating sequence batch tank is determined, and the micro-regulating valve is adjusted to apply low-intensity turbulent airflow.

[0049] Compared with existing technologies, the beneficial effects of this invention are that it provides an intelligent control method for MSBR effluent suspended solids concentration based on multi-parameter optimization. By performing multi-parameter fusion analysis and stability risk assessment and classification of influent load, sludge concentration, sludge layer thickness, and sludge volume index, early diagnosis and warning of sludge status are achieved, overcoming the lag of traditional manual judgment. Furthermore, through linkage analysis and deviation judgment of process indicators, process problems such as abnormal sludge discharge time and sudden changes in effluent turbidity can be accurately identified, and targeted control strategies can be automatically triggered. The intelligent closed-loop control mechanism fundamentally ensures the stable compliance of effluent suspended solids concentration, while effectively avoiding energy waste caused by over-control or untimely control, significantly improving the operational stability, treatment efficiency, and economic benefits of the MSBR process.

[0050] In particular, this invention constructs a multi-dimensional control system by selecting influent load, sludge concentration, sludge thickness, and sludge volume index, and combining them with process parameters such as sludge discharge time and effluent turbidity change rate. Furthermore, through ratio calculation, eigenvalue fusion, and threshold comparison and difference analysis, complex operating conditions are transformed into quantifiable risk levels and process deviations, achieving early and accurate diagnosis of sludge status and intelligent identification of process operation deviations. Based on the intelligent control mechanism of multi-parameter fusion and closed-loop feedback, the invention successfully overcomes the lag and inefficiency of traditional manual control, ultimately ensuring stable compliance of effluent suspended solids concentration while significantly reducing energy consumption in aeration and recirculation processes, comprehensively improving the stability, shock resistance, and economic benefits of process operation.

[0051] In particular, by collecting sample parameters in real time and calculating the characteristic values ​​of sample data, the system can accurately determine the stability risk status of the process. When the characteristic value of sample data exceeds a predetermined first characteristic threshold, sludge recirculation is initiated or the recirculation sequence is adjusted, avoiding continuous or fixed-mode recirculation operations in traditional systems, reducing the operating time of recirculation pumps and related equipment, thereby significantly reducing energy consumption. When the process is in a critical safety window, the system dynamically adjusts the recirculation intensity based on the thickness and density of the settled sludge layer, instead of using a fixed flow rate, ensuring that the recirculation operation operates at the optimal intensity only under the most needed conditions, avoiding energy waste caused by excessive recirculation. When there is a risk of sludge instability, the system adjusts the sludge recirculation operation to be performed at the end of the effluent stage, which helps to balance the operating load and avoid high-intensity recirculation during peak periods, thereby reducing overall energy consumption. Optimized timing may reduce the pump start-up and shutdown frequency, extend equipment life, and indirectly reduce maintenance energy consumption.

[0052] In particular, this invention achieves precise diagnosis and graded control of process anomalies by setting different levels of difference thresholds: when the difference is greater than the first difference threshold and less than the second difference threshold, the system can accurately identify that the sludge discharge time is too long and trigger targeted adjustments to avoid sludge loss or accumulation caused by improper sludge discharge operation; when the difference is greater than or equal to the predetermined second difference threshold, it can quickly determine that a sudden change has occurred in the effluent turbidity and adjust the turbulent airflow in a timely manner to stabilize the effluent water quality. The graded response mechanism significantly improves the accuracy and timeliness of control, avoiding the limitations of a single control strategy and effectively preventing excessive energy consumption, thus achieving a balance between treatment effect and operational economy. Attached Figure Description

[0053] Figure 1 This is a flowchart illustrating the steps of the intelligent control method for suspended solids concentration in MSBR effluent based on multi-parameter optimization, as described in this embodiment of the invention.

[0054] Figure 2 This is a flowchart illustrating the steps for calculating the characteristic values ​​of sample indicators in an embodiment of the present invention.

[0055] Figure 3 This is a logic diagram for determining whether a process meets the stability risk criteria in an embodiment of the present invention.

[0056] Figure 4 This is a logic diagram for determining whether the process operation conforms to the standard in an embodiment of the present invention. Detailed Implementation

[0057] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0058] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0059] Please see Figure 1 The diagram shows a flowchart of the steps in an intelligent control method for suspended solids concentration in MSBR effluent based on multi-parameter optimization, according to an embodiment of the present invention. The present invention provides an intelligent control method for suspended solids concentration in MSBR effluent based on multi-parameter optimization, comprising:

[0060] Step S1: Collect sample index parameter information from the historical cycle of the sequencing batch reactor of the wastewater treatment plant, including influent load, sludge thickness, sludge concentration, and sludge volume index.

[0061] Step S2: Calculate the sample indicator feature representation value based on the sample indicator parameter information;

[0062] Step S3: Determine whether the process meets the stability risk standard based on the comparison results of the sample index feature characterization value with the predetermined first feature characterization threshold and the comparison results of the sample index feature characterization value with the predetermined second feature characterization threshold.

[0063] Step S4: When the stability risk standard is met, process index parameter information of the sequencing batch reactor in the wastewater treatment plant during the historical period is collected, and process index characteristic value is calculated based on the process index parameter information.

[0064] Step S5: Determine whether the process operation meets the standard based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold.

[0065] Step S6: If the process operation does not meet the standard, a corresponding processing strategy is determined based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold.

[0066] In this embodiment, the complete MSBR process includes: after pretreatment, the wastewater enters the anaerobic zone to complete the phosphorus release process of polyphosphate-accumulating bacteria, then enters the anoxic zone to mix with the internal return nitrification liquid for denitrification, and then enters the aerobic zone to realize the degradation of organic matter, nitrification reaction and the super uptake of phosphorus by polyphosphate-accumulating bacteria; the treated mixed liquid alternately enters the sequencing batch reactors on both sides, one of which serves as the reaction zone for continued biochemical treatment, and the other serves as the sedimentation zone for sludge-water separation and discharge of qualified supernatant. The two sequencing batch reactors are switched at timed intervals to achieve continuous influent and effluent of the system, while most of the settled sludge is returned to the anaerobic zone, and part of it is discharged from the system as phosphorus-containing excess sludge, thus achieving efficient and stable synchronous removal of pollutants.

[0067] In this embodiment, a sludge interface monitoring device, a sludge concentration meter, and an effluent turbidity meter are installed in the sequencing batch reactor to track the thickness of settled sludge, the concentration of sludge mixed liquor, and the concentration of suspended solids in the effluent in real time. Subsequently, the collected data on the change trend of sludge thickness, fluctuation of sludge concentration, change of influent flow rate, and change trend of effluent suspended solids concentration are input into the sludge state dynamic prediction model, thereby effectively controlling the effluent suspended solids concentration of the MSBR process to be lower than the design value.

[0068] In this embodiment, by performing multi-parameter fusion analysis and stability risk assessment and classification of influent load, sludge concentration, sludge layer thickness and sludge volume index, early diagnosis and warning of sludge status are achieved, overcoming the lag of traditional manual judgment. Furthermore, through linkage analysis and deviation judgment of process indicators, process problems such as abnormal sludge discharge time and sudden changes in effluent turbidity can be accurately identified, and targeted control strategies can be automatically triggered. The intelligent closed-loop control mechanism fundamentally ensures that the effluent suspended solids concentration is stably up to standard, while effectively avoiding energy waste caused by over-control or untimely control, significantly improving the operational stability, treatment efficiency and economic benefits of the MSBR process.

[0069] Please see Figure 2 The diagram shows a flowchart illustrating the steps for calculating the characteristic values ​​of sample indicators according to an embodiment of the present invention. The process for calculating the characteristic values ​​of sample indicators according to the present invention includes:

[0070] Step S21: Collect the influent load, sludge thickness, sludge concentration, and sludge volume index of the sequencing batch tank of the wastewater treatment plant during historical cycles.

[0071] Step S22: Calculate the ratio of influent load to a predetermined influent load threshold and determine it as the first characteristic limiting characterization parameter; calculate the ratio of sludge thickness to a predetermined sludge thickness threshold and determine it as the second characteristic limiting characterization parameter; calculate the ratio of a predetermined sludge concentration threshold to sludge concentration and determine it as the third characteristic limiting characterization parameter; calculate the ratio of sludge volume index to a predetermined sludge volume index threshold and determine it as the fourth characteristic limiting characterization parameter.

[0072] Step S23: The first feature-limited characterization parameter, the second feature-limited characterization parameter, the third feature-limited characterization parameter, and the fourth feature-limited characterization parameter are summed to determine the sample index feature characterization value.

[0073] In this embodiment, the influent load, sludge thickness, sludge concentration, and sludge volume index are monitored automatically. The influent load is calculated in real time by a flow meter on the influent pipeline and an online water quality analyzer. The sludge thickness is detected in real time during the sedimentation stage by a sludge interface monitoring device installed in the reaction tank. The sludge concentration is monitored in real time by an online sludge concentration analyzer. The sludge volume index is estimated in real time by combining the data from the online sludge concentration analyzer and the sludge interface monitoring device through a model. The multi-source data acquisition system provides a real-time and reliable data foundation for subsequent intelligent diagnosis and control.

[0074] In this embodiment, the formula for calculating the sludge volume index is:

[0075] SVI (mL / g) = [SV 30 (mL / L) / MLSS(g / L)]

[0076] SVI refers to the sludge volume index; SV 30 MLSS refers to the 30-minute sludge settling ratio; MLSS refers to the mixed liquor suspended solids concentration.

[0077] In this embodiment, the predetermined influent load threshold is obtained in advance by collecting the influent load of the sewage treatment plant's sequencing batch tank during a stable 3-month operation period and calculating its average value as the predetermined influent load threshold; the predetermined sludge thickness threshold is obtained in advance by collecting the sludge thickness of the sewage treatment plant's sequencing batch tank during a stable 3-month operation period and calculating its average value as the predetermined sludge thickness threshold; the predetermined sludge concentration threshold is obtained in advance by collecting the sludge concentration of the sewage treatment plant's sequencing batch tank during a stable 3-month operation period and calculating its average value as the predetermined sludge concentration threshold; the predetermined sludge volume index threshold is obtained in advance by collecting the sludge volume index of the sewage treatment plant's sequencing batch tank during a stable 3-month operation period and calculating its average value as the predetermined sludge volume index threshold.

[0078] In this embodiment, a multi-dimensional control system was constructed by selecting influent load, sludge concentration, sludge thickness, and sludge volume index. Through ratio calculation, feature value fusion, threshold comparison, and difference analysis, complex operating conditions were transformed into quantifiable risk levels and process deviations, enabling early and accurate diagnosis of sludge status and intelligent identification of process operation deviations. Based on the intelligent control mechanism of multi-parameter fusion and closed-loop feedback, the lag and crudeness of traditional manual control were successfully overcome. Ultimately, while ensuring that the effluent suspended solids concentration remained stable and met the standards, the energy consumption of aeration and recirculation was significantly reduced, comprehensively improving the stability, shock resistance, and economic benefits of process operation.

[0079] Please see Figure 3 As shown, this is a logic diagram for determining whether a process meets the stability risk standard according to an embodiment of the present invention. The process of determining whether a process meets the stability risk standard based on the comparison results of the sample indicator feature values ​​with a predetermined first feature threshold and the comparison results of the sample indicator feature values ​​with a predetermined second feature threshold includes:

[0080] If the sample index characteristic value is less than or equal to the predetermined first characteristic threshold, then the process is determined to meet the stability risk standard.

[0081] If the sample index characteristic value is greater than the predetermined first characteristic value threshold and less than the predetermined second characteristic value threshold, then the process is determined to be in the critical safety window.

[0082] If the sample index characteristic value is greater than or equal to the predetermined second characteristic characteristic threshold, the process is determined to be non-compliant with the stability risk standard.

[0083] In this embodiment, the predetermined first feature characterization threshold and the predetermined second feature characterization threshold are both obtained in advance. The sample index feature characterization values ​​within a 3-month stable operation cycle of the sewage treatment plant's sequencing batch tank are calculated, and their average values ​​are calculated. The predetermined first feature characterization threshold is selected within the range of [3.65, 3.75], and preferably 3.70 in this embodiment. The predetermined second feature characterization threshold is selected within the range of [4.10, 4.25], and preferably 4.20 in this embodiment.

[0084] In this embodiment, by setting dual thresholds to accurately classify the sludge state into three levels, a refined early warning and graded response for sludge stability is achieved. This enables the capture of early risk signals before sludge performance deteriorates significantly, shifting the control point from post-remediation to pre-prevention. At the same time, the activation of differentiated control strategies based on different risk levels avoids energy waste caused by over-control and ensures the stability of the treatment effect. Ultimately, precise control of operating energy consumption is achieved while ensuring the quality of effluent.

[0085] Specifically, the process by which the wastewater treatment plant takes measures when the process is at a critical safety window includes:

[0086] If the process is in a critical safety window, the sample is determined to have stability risks, and sludge recirculation is initiated based on the thickness and density of the settled sludge layer.

[0087] In this embodiment, when the process is in the critical safety window, the system dynamically adjusts the recirculation intensity based on the thickness and density of the settled sludge layer, instead of using a fixed flow rate. This ensures that the recirculation operation runs at the optimal intensity only under the most needed conditions, avoiding energy waste caused by excessive recirculation.

[0088] Specifically, the process by which a wastewater treatment plant takes measures when a process fails to meet stability risk standards includes:

[0089] If the process does not meet the stability risk standard, it is determined that the sludge settling performance deteriorates in the early stage of the effluent stage, and the sludge return sequence is optimized.

[0090] In this embodiment, when there is a risk of process instability, the system adjusts the later part or all of the supplementary sludge return operation set in the effluent stage of the sequencing batch reactor to be executed at the end of the effluent stage. This is to avoid the risk-sensitive period when the effluent suspended solids concentration exceeds the design concentration due to the water load impact caused by the supplementary sludge return, thereby effectively controlling the effluent suspended solids concentration of the MSBR process to be lower than the design value. This helps to balance the operating load, avoid high-intensity return during peak periods, thereby reducing overall energy consumption. Optimizing the timing may reduce the pump start-up and shutdown frequency, extend equipment life, and indirectly reduce maintenance energy consumption.

[0091] Specifically, when the stability risk criteria are met, process parameter information of the sequencing batch reactor in the wastewater treatment plant is collected over a historical period. The process of calculating the characteristic values ​​of the process parameters includes:

[0092] Collect data on sludge discharge duration and effluent turbidity variation rate during the historical cycle of the sequencing batch tank in the wastewater treatment plant.

[0093] The ratio of the calculated sludge discharge time to the predetermined sludge discharge time threshold is determined as the first process-limited characterization parameter;

[0094] The ratio of the effluent turbidity change rate to the predetermined effluent turbidity change rate threshold is determined as the second process-defined characterization parameter.

[0095] The summation of the first process-limited characterization parameter and the second process-limited characterization parameter is determined as the characteristic value of the process index.

[0096] In this embodiment, the predetermined sludge discharge time threshold and the predetermined effluent turbidity change rate are both obtained in advance. The sludge discharge time and effluent turbidity value are collected during the stable operation of the sequencing batch reactor of the wastewater treatment plant within a 3-month cycle, and their average values ​​are calculated to determine the predetermined sludge discharge time threshold and the predetermined effluent turbidity change rate. The predetermined sludge discharge time is selected within the range of [9.50 min, 10.25 min], and the preferred value in this embodiment is 10.05 min.

[0097] In this embodiment, the formula for calculating the rate of change in effluent turbidity is:

[0098] Effluent turbidity change rate = (Current measured turbidity value minus the turbidity value measured in the previous period) divided by the turbidity value measured in the previous period × 100%

[0099] The turbidity value of the effluent is obtained through real-time monitoring using an online turbidity meter.

[0100] Please see Figure 4 As shown, this is a logic diagram for determining whether a process operation meets the standard according to an embodiment of the present invention. The process of determining whether the process operation meets the standard by the difference between the process indicator feature value and the predetermined process indicator feature threshold includes:

[0101] Calculate the difference between the process indicator feature value and the predetermined process indicator feature threshold;

[0102] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is less than the predetermined first difference threshold, then the process operation is determined to meet the standard.

[0103] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than or equal to the predetermined first difference threshold, then the process operation is determined to be non-compliant with the standard.

[0104] In this embodiment, the predetermined process index characteristic characterization threshold is obtained in advance, and the predetermined process index characteristic characterization threshold is selected within the range of [2.05, 2.15], with 2.10 being the preferred value in this embodiment.

[0105] In this embodiment, the predetermined first difference threshold is obtained in advance. The difference between the characteristic value of the process index of the sewage treatment plant's sequencing batch tank during a stable operation period of 3 months and the predetermined characteristic threshold of the process index is calculated, and the average value is calculated. The predetermined first difference threshold is selected in the range of [0.05, 0.15], and is preferably 0.10 in this embodiment.

[0106] In this embodiment, a precise and efficient process operation status judgment mechanism was constructed, realizing the objectification and quantitative evaluation of the process operation status and completely eliminating the reliance on human experience. The system can complete the diagnosis instantly, and once the difference exceeds the safety tolerance, it is immediately judged as abnormal, thereby realizing the seamless switching from normal to abnormal state, fundamentally avoiding the fluctuation of effluent water quality and energy waste caused by slow response.

[0107] Specifically, when the process operation does not meet the standards, the process of determining the corresponding handling strategy based on the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator includes:

[0108] Calculate the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator;

[0109] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than the predetermined first difference threshold and less than the predetermined second difference threshold, then it is determined that the sludge discharge operation time exceeds the safety value, and a treatment strategy for adjusting the sludge discharge pump time of the sequencing batch tank is determined, that is, reducing the sludge discharge time of the sludge discharge pump.

[0110] In this embodiment, the predetermined second difference threshold is obtained in advance. The difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator during the sludge discharge operation period exceeding the safe value for one month is calculated, and the average value is calculated as the predetermined second difference threshold. The predetermined second difference threshold is selected in the range of [0.25, 0.35], and is preferably 0.30 in this embodiment.

[0111] In this embodiment, in response to the impact of the sludge discharge time of the sludge discharge pump on sludge stability, the system further sets a safe operating time for the sludge discharge pump to ensure that the critical operation is completed before the sludge layer is fully turned up to the effluent area, thereby minimizing the possibility of suspended solids concentration exceeding the standard.

[0112] Specifically, when the process operation does not meet the standards, the process of determining the corresponding handling strategy based on the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator includes:

[0113] Calculate the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator;

[0114] If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than or equal to the predetermined second difference threshold, then it is determined that the effluent turbidity has a sudden change trend, and a micro-regulating valve treatment strategy for the effluent stage of the regulating sequence batch tank is determined, and the micro-regulating valve is adjusted to apply low-intensity turbulent airflow.

[0115] In this embodiment, the predetermined second difference threshold is obtained in advance. The difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator during the sludge discharge operation period exceeding the safe value for one month is calculated, and the average value is calculated as the predetermined second difference threshold. The predetermined second difference threshold is selected in the range of [0.25, 0.35], and is preferably 0.30 in this embodiment.

[0116] In the embodiment, when the effluent turbidity shows a sudden change trend, a low-intensity turbulent airflow is applied by adjusting the micro regulating valve to disrupt the sludge floating conditions, further weakening the hydraulic impact and achieving stable control of the effluent suspended solids concentration.

[0117] In this embodiment, by setting different levels of difference thresholds, precise diagnosis and graded control of process anomalies are achieved: when the difference is greater than the first difference threshold and less than the second difference threshold, the system can accurately identify that the sludge discharge time is too long and trigger targeted adjustments to avoid sludge loss or accumulation caused by improper sludge discharge operation; when the difference is greater than or equal to the predetermined second difference threshold, it can quickly determine that a sudden change has occurred in the effluent turbidity and adjust the amplitude of the disturbance airflow and return flow in a timely manner to stabilize the effluent water quality. The graded response mechanism significantly improves the accuracy and timeliness of control, avoids the limitations of a single control strategy, and effectively prevents excessive energy consumption, achieving a balance between treatment effect and operational economy.

[0118] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A multi-parameter optimization-based intelligent regulation method for effluent suspended solids concentration of MSBR, characterized in that, include: Collect sample index parameter information from the historical cycle of the sequencing batch reactor in the wastewater treatment plant; Calculate the characteristic representation value of the sample index based on the sample index parameter information; Based on the comparison results of the sample index feature values ​​with a predetermined first feature threshold and the comparison results of the sample index feature values ​​with a predetermined second feature threshold, it is determined whether the process meets the stability risk standard. The process includes: If the sample index characteristic value is less than or equal to the predetermined first characteristic threshold, then the process is determined to meet the stability risk standard. If the sample index characteristic value is greater than the predetermined first characteristic value threshold and less than the predetermined second characteristic value threshold, then the process is determined to be in the critical safety window. If the sample index characteristic value is greater than or equal to the predetermined second characteristic threshold, the process is determined to be non-compliant with the stability risk standard. The process by which wastewater treatment plants take measures when the process is in a critical safety window includes: If the process is in the critical safety window, the sample is determined to have stability risks, and sludge recirculation is initiated based on the thickness and density of the settled sludge layer. The process by which a wastewater treatment plant takes measures when its processes fail to meet stability risk standards includes: If the process does not meet the stability risk standard, it is determined that the sludge settling performance deteriorates in the early stage of the effluent stage, and the sludge return sequence is optimized. When the stability risk standard is met, process index parameter information of the sequencing batch tank of the wastewater treatment plant is collected within the historical period, and the process index characteristic value is calculated based on the process index parameter information. Whether the process operation meets the standard is determined based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold. If the process operation does not meet the standard, the corresponding processing strategy is determined based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold. The sample index parameters include: influent load, sludge thickness, sludge concentration, and sludge volume index. The process parameters include: sludge discharge time and effluent turbidity change rate.

2. The multi-parameter optimization based MSBR effluent suspended solids concentration intelligent regulation method according to claim 1, characterized in that, The process of calculating the feature representation value of the sample index based on the sample index parameter information includes: Collect influent load, sludge thickness, sludge concentration, and sludge volume index of the sequencing batch tank of the wastewater treatment plant during historical cycles. The ratio of the calculated influent load to the predetermined influent load threshold is determined as the first characteristic limiting characterization parameter; The ratio of the sludge thickness to a predetermined sludge thickness threshold is determined as the second characteristic limiting characterization parameter; The ratio of the predetermined sludge concentration threshold to the sludge concentration is determined as the third characteristic limiting characterization parameter. The ratio of the sludge volume index to the predetermined sludge volume index threshold is determined as the fourth characteristic limiting characterization parameter; The summation of the first feature-limited representation parameter, the second feature-limited representation parameter, the third feature-limited representation parameter, and the fourth feature-limited representation parameter is determined as the sample index feature representation value.

3. The multi-parameter optimization based MSBR effluent suspended solids concentration intelligent regulation method according to claim 2, characterized in that, When stability risk criteria are met, the process of collecting process parameter information from the historical cycle of the sequencing batch reactor in a wastewater treatment plant, and calculating the characteristic values ​​of the process indicators based on the process parameter information, includes the following: Collect data on sludge discharge duration and effluent turbidity variation rate during the historical cycle of the sequencing batch tank in the wastewater treatment plant. The ratio of the calculated sludge discharge time to the predetermined sludge discharge time threshold is determined as the first process-limited characterization parameter; The ratio of the effluent turbidity change rate to the predetermined effluent turbidity change rate threshold is determined as the second process-defined characterization parameter. The summation of the first process-limited characterization parameter and the second process-limited characterization parameter is determined as the characteristic value of the process index.

4. The multi-parameter optimization based MSBR effluent suspended solids concentration intelligent regulation method according to claim 3, characterized in that, The process of determining whether the process operation meets the standard based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold includes: Calculate the difference between the process indicator feature value and the predetermined process indicator feature threshold; If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is less than the predetermined first difference threshold, then the process operation is determined to meet the standard.

5. The multi-parameter optimization-based MSBR effluent suspended solids concentration intelligent regulation method according to claim 4, characterized in that, The process of determining whether a process operation does not meet the standard based on the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold includes: Calculate the difference between the process indicator feature value and the predetermined process indicator feature threshold; If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than or equal to the predetermined first difference threshold, then the process operation is determined to be non-compliant with the standard.

6. The multi-parameter optimization based MSBR effluent suspended solids concentration intelligent regulation method according to claim 5, characterized in that, When the process operation does not meet the standards, the process of determining the corresponding handling strategy based on the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator includes: Calculate the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator; If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than the predetermined first difference threshold and less than the predetermined second difference threshold, then a processing strategy for adjusting the sludge discharge pump duration in the sequencing batch tank is determined, and the sludge discharge pump duration is reduced.

7. The multi-parameter optimization-based MSBR effluent suspended solids concentration intelligent regulation method according to claim 6, characterized in that, When the process operation does not meet the standards, the process of determining the corresponding handling strategy based on the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator includes: Calculate the difference between the characteristic value of the process indicator and the predetermined characteristic threshold of the process indicator; If the difference between the process indicator characteristic value and the predetermined process indicator characteristic threshold is greater than or equal to the predetermined second difference threshold, then a micro-regulating valve treatment strategy for the regulating sequence batch tank effluent stage is determined, and the micro-regulating valve is adjusted down to apply a low-intensity turbulent airflow.

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