Water quality standard exceeding early warning method for sewage treatment

Abstract

The invention discloses a water quality standard exceeding early warning method for sewage treatment, relates to the technical field of sewage treatment, solves the technical problem that optimization of treatment characteristics of a sewage treatment pool lacks quantitative basis, and aims to accurately match a flow limiting / flow rising strategy based on positive and negative sum values and dynamically lock the optimal water inflow in combination with a sewage residence time standard T1. The overall stability of the processing system is guaranteed and the parameter fluctuation amplitude is reduced while the standard exceeding risk is rapidly controlled; through trend comparison, variance analysis and mean value ratio calculation of a main verification curve and a to-be-verified curve, an incidence relation between treatment pond characteristics and discharge outlet water quality is accurately established, quantitative optimization of treatment parameters corresponding to a single index is realized, the water quality comprehensive purification effect is improved, process unbalance caused by blind debugging is avoided, and treatment efficiency and stability are considered.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment technology, specifically to a method for early warning of wastewater quality exceeding standards. Background Technology

[0002] With increasingly stringent environmental protection requirements, the wastewater treatment industry faces higher demands for the precision and efficiency of water quality control and discharge compliance. Currently, there is a disconnect between water quality monitoring and process regulation in wastewater treatment systems: on the one hand, traditional water quality exceedance warnings rely heavily on single indicator thresholds, lacking dynamic analysis of multi-parameter comprehensive characteristics, which easily leads to false alarms and missed alarms, and the warning timing is delayed, making it difficult to avoid exceedance risks in advance; on the other hand, when water quality is detected to be substandard, process parameter adjustments often rely on manual experience, resulting in untimely responses and poor targeting of adjustments—either directly adjusting core parameters such as aeration rate and chemical dosage, leading to excessive system fluctuations, or blindly implementing flow restriction / increase operations, failing to accurately match the wastewater treatment load and affecting overall treatment stability.

[0003] Meanwhile, existing technologies lack quantitative basis for optimizing the treatment characteristics of wastewater treatment ponds, often employing fixed-parameter operation or extensive commissioning, making it difficult to establish a precise correlation between treatment characteristics and changes in water quality indicators. Due to the transmission delay between wastewater in the treatment pond and the main discharge outlet, traditional commissioning methods cannot accurately correspond to the temporal relationship between process adjustments and water quality changes, resulting in poor optimization effects and difficulty in achieving continuous and stable water quality compliance. Furthermore, some early warning methods do not form a complete closed loop of "monitoring-judgment-adjustment-feedback." Even after initial adjustment, it is difficult to further optimize process parameters based on water quality feedback, and they cannot adapt to dynamic fluctuations in influent water quality and quantity.

[0004] Therefore, there is an urgent need for a water quality exceedance early warning method that can integrate multi-parameter comprehensive evaluation, accurately match flow restriction / flow increase strategies, and establish a quantitative correlation between treatment characteristics and water quality changes. This method would enable full-process linkage from early warning to process adjustment, improve the stability and compliance rate of wastewater treatment, and solve problems such as low early warning accuracy, large blindness in process adjustment, and poor system adaptability in existing technologies. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method for early warning of water quality exceeding standards in wastewater treatment. This method solves the problem that the optimization of wastewater treatment characteristics lacks quantitative basis, often relies on fixed parameter operation or extensive debugging, and makes it difficult to establish a precise correlation between treatment characteristics and changes in water quality indicators.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for early warning of excessive wastewater quality in wastewater treatment, comprising the following steps: Step 1: Conduct real-time monitoring of various water quality parameters at the main discharge outlet. Based on the different water quality parameters monitored at different times, generate parameter change curves for the corresponding water quality parameters. Then, based on the established reference standards, assess whether the water quality parameters meet the standards. The specific method is as follows: Based on the real-time water quality parameter monitoring process, a water quality parameter change curve associated with the corresponding water quality parameter index is generated. The horizontal axis of the curve is the time line, and the vertical axis is the water quality parameter. Based on different reference standards set for different water quality parameters, a reference standard line is constructed within the corresponding water quality parameter change curve; Within the corresponding water quality parameter change curve, determine the distance ratio of the water quality parameter from the reference standard line at the current moment: Based on the real-time monitored water quality parameters, determine the real-time points within the water quality parameter change curve, and construct the vertical distance L1 between the real-time points and the reference standard line. Then, simultaneously confirm the vertical distance L2 between the reference standard line and the X-axis. Use the following method: distance ratio = L1 ÷ L2 to determine the distance ratio associated with the corresponding water quality parameter index at the current moment. In the water quality parameter change curves associated with different water quality parameter indicators, determine the proportion of several sets of distances associated with the current moment, sum them up, and confirm the total proportion. If the total proportion is ≥0.4, a water quality parameter early warning signal is directly generated; otherwise, continuous monitoring is performed. Step 2: When water quality parameters do not meet the standards, determine the correlation characteristics between the upper and lower limits of each water quality parameter on different parameter change curves, thereby determining the flow restriction or flow increase characteristics. Based on the subsequent monitoring process, stop the flow restriction or flow increase process of sewage when all water quality parameters meet the standards. Step 3: After all water quality parameters meet the overall standards, determine the treatment tanks associated with each water quality parameter. By adjusting the treatment characteristics of different treatment tanks, confirm the changing state of the water quality parameters corresponding to the total discharge outlet. Based on the confirmation process, lock in the optimal treatment characteristics and execute them. The specific method is as follows: Identify the treatment tank associated with a single set of water quality parameters, determine the preset treatment characteristics of the treatment tank, record the current time as the initial time, and determine a set of treatment cycles, which are preset cycles. Execute the change process of the treatment characteristics within the treatment cycle, and then generate the change curve of the treatment characteristics within the treatment cycle, which is recorded as the main verification curve. Determine the time standard T set for the treatment tank and the total discharge outlet. k T k The default value is denoted by k, where k represents different processing pools, and the values ​​are determined based on the initial time and the associated time standard T. k Determine (initial time + T) kThe monitoring time associated with the monitoring time is determined, and a set of associated cycles is determined synchronously based on the total duration of the monitoring time and the processing cycle. The monitoring cycle is extended by 1 minute before and after to obtain a set of monitoring cycles. The water quality parameter change curves generated by a single set of water quality parameters within the monitoring cycle are confirmed and recorded as the curves to be verified. The main verification curve and the curve to be verified are subjected to feature verification. The changing trend of adjacent time points within the main verification curve is confirmed. The changing trend = the processing feature of the next time point - the processing feature of the previous time point. The changing trend of adjacent time points within the curve to be verified is also confirmed simultaneously. Several verification processes are executed, and the process features associated with each verification process are determined. From the identified set of process characteristics, select the minimum value, and record the verification process associated with the minimum value as the determined process. Then, perform mean processing on the set of trend ratios associated with the determined process to determine the mean ratio. The current value of the water quality parameter is denoted as ZB1. k The associated reference standard is denoted as BZ. k , using: (BZ) k -ZB1 k =DZ k Determine the value to be corrected, then use: (QD) k ÷DZ k = Ratio of means, calculate QD k According to QD k Adjust and optimize the processing characteristics of the specified processing pool.

[0007] Preferably, the process of constructing the reference standard line includes: determining the numerical point associated with the reference standard on the Y-axis, and constructing a horizontal line parallel to the X-axis and perpendicular to this numerical point, denoted as the reference standard line.

[0008] Preferably, in step two, the specific method for determining the current limiting or current increasing characteristics is as follows: By combining the different distance proportions associated with different water quality parameters at the current moment, within the corresponding water quality parameter change curve, confirm whether the real-time point is below the reference standard line. If so, mark the distance proportion as a negative value; otherwise, do not mark it. The processed distance percentages are summed to determine the total value. If the total value is negative, a current-increasing signal is generated; if the total value is positive, a current-limiting signal is generated.

[0009] Preferably, in step two, based on the upflow signal, the sewage inflow per unit time is increased at the sewage inlet and the upflow time is recorded. Then, based on the set time standard T1, where T1 is a preset value, at the associated time of (upflow time + T1), it is determined whether the water quality parameters of the total discharge outlet meet the standard. When the water quality parameters meet the standard, the time of meeting the standard is recorded. The interval between the time of meeting the standard and the associated time is simultaneously confirmed. Then, the corresponding time of (upflow time + interval time) is determined, the sewage inflow per unit time associated with the corresponding time is identified, and this sewage inflow is kept constant in the subsequent treatment process. Based on the flow restriction signal, the sewage inflow per unit time is reduced at the sewage inlet, and the same processing method as for the upflow signal is used to confirm the sewage inflow per unit time associated with the subsequent treatment process.

[0010] Preferably, the specific method for determining the process characteristics associated with the verification process is as follows: The initial time of both the main verification curve and the curve to be verified is recorded as time 0. The first verification process is executed, and the ratio of the change trends associated with the same time period in the two sets of curves is processed to confirm the trend ratio associated with the corresponding time. The variance of the confirmed trend ratios is processed and recorded as the process characteristics of the current verification process. If there is no change trend in the corresponding time period in a certain set of curves, then there is no need to perform the ratio processing process. The initial time of the main verification curve is shifted forward by one time unit, while the initial time of the curve to be verified is always recorded as 0. Another set of verification processes is executed, and the process characteristics are determined. The initial time of the main verification curve is gradually shifted forward until the end time of the main verification curve and the end time of the curve to be verified are the same. Each time a set of time units is shifted forward, a set of verification processes is executed, and the process characteristics are determined synchronously.

[0011] Preferably, the change process includes: The processing feature is first raised by 20%, then lowered back to its original value, and then lowered by 20% again to complete the first set of changes. Five sets of changes are completed within the processing cycle.

[0012] This invention provides a method for early warning of excessive water quality in wastewater treatment. Compared with existing technologies, it has the following advantages: This invention uses a method that combines parameter change curves with distance ratio summation to comprehensively assess water quality status based on the dynamic characteristics of multiple indicators, avoiding misjudgment based on a single indicator and identifying trends of exceeding standards in advance, thus reserving adjustment space for subsequent treatment. Based on the precise matching of positive and negative sum values ​​for flow restriction / increase strategies, combined with the wastewater retention time standard T1, the optimal influent volume is dynamically locked. This ensures the overall stability of the treatment system and reduces parameter fluctuations while rapidly controlling the risk of exceeding standards. By comparing the trends of the master verification curve and the curve to be verified, performing variance analysis and calculating the mean ratio, the correlation between the characteristics of the treatment tank and the water quality at the discharge outlet is accurately established. This enables quantitative optimization of the treatment parameters corresponding to a single indicator, which not only improves the overall water purification effect but also avoids process imbalance caused by blind debugging, thus balancing treatment efficiency and stability. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0014] 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 embodiments of the present invention, and not all embodiments. 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.

[0015] As a first embodiment of this application, please refer to Figure 1 This application provides a method for early warning of excessive wastewater quality in wastewater treatment, comprising the following steps: Step 1: Monitor various water quality parameters in real time at the main discharge outlet. Based on the different water quality parameters monitored at different times, generate parameter change curves for the corresponding water quality parameters. Based on the set reference standards, assess whether the water quality parameters meet the standards. Specifically, each group of different monitoring items has different monitoring indicators, and different monitoring indicators can be used as corresponding reference standards. When the corresponding water quality parameter deviates far from the corresponding reference standard, it is necessary to issue an early warning for water quality exceeding the standard and conduct a comprehensive assessment to ensure that the overall water quality is in compliance with the standards. Step 2: When water quality parameters do not meet the standards, determine the correlation characteristics between the upper and lower limits of each water quality parameter on different parameter change curves, thereby determining the flow restriction or flow increase characteristics. Based on the subsequent monitoring process, stop the flow restriction or flow increase process of sewage when all water quality parameters meet the standards. Specifically, firstly, the relevant aeration volume, dosage and other related characteristics set for each sewage treatment area are all set. In order to make the overall water quality indicators of sewage in the optimal state, flow restriction or flow increase treatment is given priority, so that the sewage is in an optimal state in the overall treatment, thereby achieving the best treatment effect. Step 3: After all water quality parameters meet the overall standards, determine the treatment tanks associated with each water quality parameter. By adjusting the treatment characteristics of different treatment tanks, confirm the changing state of the water quality parameters corresponding to the total discharge outlet. Based on the confirmation process, lock in the optimal treatment characteristics and execute them. Specifically, Step 3 is a further optimization process, targeting the actual optimization process of each different water quality parameter, so as to further improve the overall purification state of the wastewater and ensure the overall treatment effect of the water quality parameters.

[0016] As a further embodiment of Example 1, this mainly focuses on the assessment process of whether water quality parameters meet the standards, and the specific assessment methods include: Based on the real-time water quality parameter monitoring process, a water quality parameter change curve associated with the corresponding water quality parameter index is generated. The horizontal axis of the curve is the time line, and the vertical axis is the water quality parameter. Based on the different reference standards set for different water quality parameters, a reference standard line is constructed within the corresponding water quality parameter change curve. The numerical point associated with the reference standard is determined on the Y-axis, and a horizontal line parallel to the X-axis and perpendicular to this numerical point is constructed, which is denoted as the reference standard line. Within the corresponding water quality parameter change curve, determine the distance ratio of the water quality parameter from the reference standard line at the current moment: Based on the real-time monitored water quality parameters, determine the real-time points within the water quality parameter change curve, and construct the vertical distance L1 between the real-time points and the reference standard line. Then, simultaneously confirm the vertical distance L2 between the reference standard line and the X-axis. Use the following method: distance ratio = L1 ÷ L2 to determine the distance ratio associated with the corresponding water quality parameter index at the current moment. In the water quality parameter change curves associated with different water quality parameter indicators, determine the proportion of several sets of distances associated with the current moment, sum them up, and confirm the total proportion. If the total proportion is ≥0.4, a water quality parameter early warning signal is directly generated; otherwise, continuous monitoring is performed. Specifically, at each corresponding moment, there are different monitored parameters, and each parameter is associated with a different water quality parameter change curve. As the water quality parameter change curve changes, it changes sequentially with the time point. In the comprehensive evaluation process of water quality monitoring, the overall water quality should fluctuate within the set reference standard range without significant fluctuations. If the comprehensive characteristics associated with the corresponding water quality parameter fluctuate significantly, a corresponding water quality parameter warning signal will be generated. In order to achieve a better treatment effect for the wastewater, flow restriction treatment is prioritized, followed by adjustment of various parameter indicators to achieve the optimal treatment effect.

[0017] As a further embodiment of Embodiment 1, this embodiment mainly focuses on the treatment process with flow restriction or flow increase characteristics to ensure that the water quality parameters of the entire wastewater are in a state of comprehensive compliance. In step two, the specific method for determining the current limiting or current increasing characteristics is as follows: By combining the different distance proportions associated with different water quality parameters at the current moment, within the corresponding water quality parameter change curve, confirm whether the real-time point is below the reference standard line. If so, mark the distance proportion as a negative value (for example, if the distance proportion is 0.1 and it is below the corresponding reference standard, after negative value processing, it becomes -0.1). If not, do not mark it. The distance ratios of the processed groups are summed to confirm the total value. If the total value is negative, it means that the processing is excessive, and an upflow signal is generated. If the total value is positive, it means that the processing is insufficient. If the processing is insufficient, either the corresponding dosage of the agent or the aeration rate and other related parameters are increased, or the flow is limited, and a flow limit signal is generated. In step two, the specific method for assessing the overall compliance of various water quality parameters is as follows: Based on the upflow signal, the sewage inflow per unit time is increased at the sewage inlet, and the upflow time is recorded. Then, according to the set time standard T1, where T1 is a preset value determined in advance by the operator based on experience, the overall time for sewage to reach the total discharge outlet is evaluated based on the sewage treatment process. At the associated time of (upflow time + T1), it is determined whether the water quality parameters at the total discharge outlet meet the standards. When the water quality parameters meet the standards, the time of meeting the standards is recorded. The interval between the time of meeting the standards and the associated time is simultaneously confirmed. Then, the corresponding time of (upflow time + interval time) is determined, and the sewage inflow per unit time associated with the corresponding time is identified. This sewage inflow is kept constant in the subsequent treatment process. Based on the flow restriction signal, the sewage inflow per unit time is reduced at the sewage inlet, and the same processing method as for the upflow signal is used to confirm the sewage inflow per unit time associated with the subsequent processing. Specifically, maintaining an optimal sewage inflow rate can effectively ensure the overall sewage treatment, ensuring that the sewage is in an optimal state of comprehensive treatment and meets the standards. In subsequent characteristic adjustment processes, the overall range of characteristic adjustment can be minimized, and the deviation from the original set value will not be too large, so that the entire sewage treatment process can still maintain a relatively stable sewage treatment state.

[0018] As a further embodiment of Example 1, this embodiment, in its specific implementation, mainly focuses on the process of determining the optimal processing characteristics of different processing pools. The confirmation steps specifically include: Identify the treatment tank associated with a single set of water quality parameters (this is a preset feature that can be directly confirmed; for example, parameters related to organic matter involve the aeration tank, and parameters related to nutrients are associated with the dosing tank). Determine the preset treatment characteristics of the treatment tank (the treatment characteristics are the aeration volume or dosing volume associated with each unit of time, which can be directly confirmed based on the actual operation of the treatment tank). Record the current time as the initial time and determine a set of treatment cycles, which are preset cycles, generally 5 minutes. Within the treatment cycle, execute the change process of the treatment characteristics, causing the treatment characteristics to rise by 20% first, then fall back to the original value, and then fall by 20% again to complete the first set of change processes. Complete five sets of change processes within the treatment cycle and synchronously generate the treatment characteristic change curve within the treatment cycle, which is recorded as the main verification curve. Determine the time standard T set for the treatment tank and the total discharge outlet. k T k These are preset values, pre-determined based on experience. The overall time for wastewater to reach the total discharge outlet is assessed according to the wastewater treatment process, where k represents different treatment tanks, based on the initial time and the associated time standard T. k Determine (initial time + T) k The monitoring time associated with the monitoring time and the total duration of the processing cycle are used to determine a set of associated cycles (the overall duration is consistent with the processing cycle duration). The monitoring cycle is extended by 1 minute before and after to obtain a set of monitoring cycles. The water quality parameter change curves generated by a single set of water quality parameters within the monitoring cycle are confirmed and recorded as the curves to be verified. The main verification curve and the curve to be verified are subjected to feature verification. The changing trend of adjacent time points within the main verification curve is confirmed. The changing trend = the processing feature of the next time point - the processing feature of the previous time point. The changing trend of adjacent time points within the curve to be verified is also confirmed simultaneously. Several verification processes are executed: the initial time of both the main verification curve and the curve to be verified is recorded as time 0. The first set of verification processes is executed. The changing trends associated with the same time period within the two sets of curves are compared. The trend ratio associated with the corresponding time point is confirmed (the changing trend of the main verification curve is on top, and the changing trend of the curve to be verified is on the bottom). The variance of the confirmed trend ratios is processed and recorded as the process feature of the current verification process. If there is no changing trend within the corresponding time period within a certain set of curves, the ratio processing process is not required. The initial time of the main verification curve is shifted forward by one time unit (usually 1 second), while the initial time of the curve to be verified is always recorded as 0. Another set of verification processes is executed, and the process characteristics are determined. The initial time of the main verification curve is gradually shifted forward until the end time of the main verification curve and the end time of the curve to be verified are the same. Each time a set of time units is shifted forward, a set of verification processes is executed, and the process characteristics are determined synchronously. From the identified set of process characteristics, select the minimum value, and record the verification process associated with the minimum value as the determined process. Then, perform mean processing on the set of trend ratios associated with the determined process to determine the mean ratio. The current value of the water quality parameter is denoted as ZB1. k The associated reference standard is denoted as BZ. k , using: (BZ) k -ZB1 k =DZ k Determine the value to be corrected, then use: (QD) k ÷DZ k = Ratio of means, calculate QD k According to QD k Adjust and optimize the processing characteristics of the specified processing pool, if QD k If the value is negative, the processing feature needs to be downgraded. If QD k If the value is positive, the processing feature needs to be adjusted upwards.

[0019] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0020] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A sewage treatment water quality exceeds the standard early warning method, characterized in that, The method comprises the following steps: Step one, real-time monitoring of various water quality parameter indicators at the total discharge port, generating parameter change curves corresponding to the water quality parameter indicators according to different water quality parameter indicators monitored at different times, and evaluating whether the water quality parameters meet the standards based on the set reference standards; Step two, when the water quality parameters do not meet the standards, determining the uplink and downlink characteristics of each water quality parameter on different parameter change curves to determine the flow limiting or flow increasing characteristics, and stopping the flow limiting or flow increasing process of the sewage when each water quality parameter meets the standards based on the subsequent monitoring process; Step three, after each water quality parameter meets the standards, determining the treatment tank associated with each water quality parameter, confirming the change state of the corresponding water quality parameters of the total discharge port by debugging the treatment characteristics of different treatment tanks, and locking the optimal treatment characteristics and executing them according to the confirmation process.

2. The sewage treatment water quality over-standard early warning method according to claim 1, characterized in that, In step one, the specific way to evaluate whether the water quality parameters meet the standards is: According to the real-time water quality parameter monitoring process, generate the water quality parameter change curve associated with the corresponding water quality parameter indicators, the horizontal coordinate axis of the curve is the time line, and the vertical coordinate axis is the water quality parameter; According to different reference standards set for different water quality parameters, a reference standard line is constructed in the corresponding water quality parameter change curve; In the corresponding water quality parameter change curve, determine the distance ratio of the current time water quality parameter to the reference standard line: based on the real-time monitored water quality parameter, determine the real-time point in the water quality parameter change curve, and construct the vertical distance L1 of the real-time point perpendicular to the reference standard line, then confirm the vertical distance L2 of the reference standard line and the X axis, and determine the distance ratio associated with the corresponding water quality parameter indicators at the current time by using: distance ratio = L1 ÷ L2; In different water quality parameter change curves associated with different water quality parameter indicators, determine the distance ratios associated with the current time, and perform summation processing to confirm the total ratio, if the total ratio is greater than or equal to 0.4, a water quality parameter warning signal is directly generated, otherwise, continuous monitoring is performed.

3. The sewage treatment water quality over-standard early warning method according to claim 2, characterized in that, The construction process of the reference standard line includes: determining the value point associated with the reference standard on the Y axis, and constructing a horizontal line parallel to the X axis and perpendicular to the value point, denoted as the reference standard line.

4. The sewage treatment water quality over-standard early warning method according to claim 1, characterized in that, In step two, the specific way to determine the flow limiting or flow increasing characteristics is: Combine the different distance ratios associated with different water quality parameters at the current time to confirm whether the real-time point is located below the reference standard line in the corresponding water quality parameter change curve, if yes, the distance ratio is marked as a negative value, if not, no marking is performed; Summation processing is performed on the processed distance ratios to confirm the total value, if the total value is negative, a flow increasing signal is generated, if the total value is positive, a flow limiting signal is generated.

5. The sewage treatment water quality over-standard early warning method according to claim 4, characterized in that, In the second step, according to the upflow signal, the sewage inflow amount per unit time at the sewage inlet is increased, and the increasing time is recorded. Then, according to the set time standard T1, where T1 is a preset value, the water quality parameters of the total discharge outlet at the associated time of (increasing time + T1) are determined. When the water quality parameters meet the standard, the meeting time is recorded, and the interval between the meeting time and the associated time is confirmed. Then, the corresponding time of (increasing time + interval) is determined, the sewage inflow amount per unit time associated with the corresponding time is identified, and this sewage inflow amount is kept unchanged in the subsequent processing process. According to the flow limiting signal, the sewage inflow amount per unit time at the sewage inlet is reduced, and the same processing method as the upflow signal is used to confirm the sewage inflow amount per unit time associated with the subsequent processing process.

6. The sewage treatment water quality over-standard early warning method according to claim 1, characterized in that, In the third step, the specific method for determining the optimal processing feature is as follows: Determine the processing pool associated with a single set of water quality parameter indicators, determine the preset processing feature of the processing pool, record the current time as the initial time, and determine a set of processing periods, with the processing period being a preset period. The change process of the processing feature is executed within the processing period, and a processing feature change curve within the processing period is generated, which is recorded as the main verification curve. Determination of time standard T set for treatment tank and total discharge port k , wherein T k is a preset value, and k represents different treatment tanks, determination of monitoring time associated with (initial time + T k ) according to initial time and associated time standard T k , and determination of a group of associated periods based on monitoring time and total length of treatment period, and extension of each of monitoring period by 1 min before and after, obtaining a group of monitoring periods, confirmation of water quality parameter change curve generated by single group of water quality parameter indexes within monitoring period, and recording as to-be-verified curve; Perform feature verification between the main verification curve and the to-be-verified curve, confirm the change trend of adjacent time points in the main verification curve, and simultaneously confirm the change trend of adjacent time points in the to-be-verified curve. Execute several verification processes and determine the process feature associated with each verification process. From the determined several sets of process features, select the minimum value, record the verification process associated with the minimum value as the determination process, and determine the mean value of the several sets of trend ratios associated with the determination process. The value of the water quality parameter index at the current time is denoted as ZB1 k , and the associated reference standard is denoted as BZ k , and the following is used: (BZ k -ZB1 k )=DZ k The value to be corrected is determined, and the following is used: (QD k ÷DZ k )=average ratio, to obtain QD k , and the processing characteristics of the designated processing pool are adjusted and optimized according to QD k .

7. The sewage treatment water quality over-standard early warning method according to claim 6, characterized in that, The specific method for determining the process feature associated with the verification process is as follows: Record the initial time of the main verification curve and the to-be-verified curve as 0 time, execute the first set of verification processes, and perform ratio processing on the change trends associated with the same period in the two curves. Confirm the trend ratio associated with the corresponding time, and perform variance processing on the several sets of trend ratios confirmed, which is recorded as the process feature of the current verification process. If there is no change trend in the corresponding period of a certain curve, ratio processing is not needed. Move the initial time of the main verification curve by a set of time units, and keep the initial time of the to-be-verified curve as 0 time. Execute another set of verification processes and determine the process feature. Move the initial time of the main verification curve step by step until the end time of the main verification curve and the end time of the to-be-verified curve are the same. Execute a set of verification processes every time the initial time is moved by a set of time units, and determine the process feature at the same time.

8. The sewage treatment water quality over-standard early warning method according to claim 6, characterized in that, The change process includes: First, make the processing feature preferentially float by 20%, then decrease to the original value, and then decrease by 20%. Complete the first set of change processes, and complete five sets of change processes within the processing period.

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