Dynamic regulation and control method and system for sewage treatment based on data analysis

Abstract

The invention discloses a dynamic regulation and control method and system for sewage treatment based on data analysis, and relates to the technical field of sewage treatment. According to the real-time water quality parameter curve after dilution and the standard water quality parameter curve, a water quality parameter deviation curve after dilution is obtained, and a water quality parameter deviation curve before dilution is obtained; analyzing the matching degree of the water quality parameter deviation curve before dilution and a water quality parameter curve of intermittent discharge of the industrial wastewater, determining an intermittent discharge mode of the industrial wastewater, obtaining a prediction result of a sewage water quality parameter curve, and adjusting treatment parameters in advance; the concentration of pollutants in the sewage may change due to factors such as discharge of industrial wastewater and rainfall, and the fluctuation of the sewage can be better coped with by adjusting treatment parameters in advance; through dynamic regulation and control, a sewage treatment plant can treat sewage more effectively, the treatment efficiency is improved, and meanwhile, the energy consumption of the sewage treatment plant is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and specifically to a sewage treatment dynamic regulation method and system based on data analysis. Background Art

[0002] Sewage treatment dynamic regulation refers to dynamically adjusting the sewage treatment process parameters according to the water quality, water volume of sewage and real-time data during the treatment process to achieve efficient, energy-saving and stable treatment effects. Sewage treatment is of great significance for environmental protection, ecological improvement, human health and sustainable development; in the continuous treatment mode, sewage treatment plants need to dynamically regulate according to the real-time state of sewage; the influent water quality and flow of urban sewage treatment plants are usually relatively stable. During the sewage treatment process, there is a situation of intermittent discharge of industrial wastewater. The discharge of industrial wastewater will have a significant impact on the water quality. The discharge of industrial wastewater causes fluctuations in water quality before and after discharge, changes in the concentration of water quality parameters, and brings difficulties to the analysis of sewage water quality parameters; how to predict the change trend of sewage and adjust the treatment parameters in advance to cope with the fluctuations of sewage has become an urgent problem to be solved. Summary of the Invention

[0003] The purpose of the present invention is to provide a sewage treatment dynamic regulation method and system based on data analysis to solve the problems proposed in the prior art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A sewage treatment dynamic regulation system based on data analysis, including a data storage module, a data acquisition module, a sewage treatment module and an analysis module; the output end of the data acquisition module is connected to the input ends of the data storage module and the analysis module, and is used to obtain the flow rate and water quality parameter data of sewage; the output end of the data storage module is connected to the input end of the analysis module, and is used to store the historical data of sewage water quality parameters and flow rate; the output end of the analysis module is connected to the input end of the sewage treatment module, and is used to analyze the real-time water quality parameter curve to obtain the water quality parameter deviation curve before dilution, determine the industrial wastewater intermittent discharge water quality parameter curve matching the current water quality parameters according to the water quality parameter deviation curve before dilution, and obtain the prediction result of the sewage water quality parameter curve according to the industrial wastewater intermittent discharge water quality parameter curve; the sewage treatment module adjusts the treatment parameters in advance according to the prediction result of the sewage water quality parameter curve to cope with the fluctuations of sewage.

[0005] The data acquisition module further includes a detection unit and a public information acquisition unit; the detection unit obtains the real-time water quality parameter curve and flow curve of the sewage through a detection instrument; the public information acquisition unit is used to obtain the publicly disclosed sewage discharge information of industrial enterprises. The analysis module further includes a standard curve generation unit, a deviation analysis unit, a conversion unit, a matching degree analysis and tracking unit, and an emission start point determination unit; the standard curve generation unit is used to generate a standard water quality parameter curve and a flow curve when there is no intermittent discharge of industrial wastewater; the deviation analysis unit is used to analyze the deviation between the diluted real-time water quality parameter curve and the standard water quality parameter curve to obtain a diluted water quality parameter deviation curve; the conversion unit is used to convert the diluted water quality parameter deviation curve into a water quality parameter deviation curve before dilution; the matching degree analysis and tracking unit is used to analyze the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent discharge of industrial wastewater to generate a prediction result of the sewage water quality parameter curve; the emission start point determination unit is used to determine the start time of intermittent discharge of industrial wastewater. The sewage treatment module further includes an automatic control unit, which dynamically adjusts various parameters in the sewage treatment process according to the prediction result of the sewage water quality parameter curve to cope with sewage fluctuations.

[0006] To achieve the above object, the present invention provides the following technical solution: A dynamic regulation method for sewage treatment based on data analysis, including the following steps: Obtain the historical data of sewage water quality parameters and flow from the data storage module, and generate a standard water quality parameter curve and a flow curve according to the obtained historical data; Obtain the real-time water quality parameter curve and flow curve through a detection instrument; obtain a flow deviation curve according to the real-time flow curve and the standard flow curve, and judge whether the flow deviation curve conforms to the characteristics of intermittent discharge of industrial wastewater. If it conforms, the real-time water quality parameter curve is the diluted real-time water quality parameter curve, obtain a diluted water quality parameter deviation curve according to the diluted real-time water quality parameter curve and the standard water quality parameter curve, and obtain a water quality parameter deviation curve before dilution based on the diluted water quality parameter deviation curve; if it does not conform, keep monitoring the flow deviation curve and dynamically regulate the sewage according to the standard water quality parameter curve; When industrial wastewater is intermittently discharged, it will cause fluctuations in the incoming water flow of the sewage treatment plant on the original basis. By capturing the fluctuations of the incoming water flow, it is judged whether there is industrial wastewater discharge.

[0007] Analyze the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent discharge of industrial wastewater to determine the mode of intermittent discharge of industrial wastewater; according to the mode of intermittent discharge of industrial wastewater and the standard water quality parameter curve, obtain a prediction result of the sewage water quality parameter curve, and adjust the treatment parameters in advance based on the prediction result of the sewage water quality parameter curve to cope with the fluctuations of the sewage.

[0008] Specifically, generating the standard water quality parameter curve and the flow curve based on the obtained historical data includes the following steps: Step 1: Obtain the historical data of the sewage water quality parameters and flow at the same time point on different dates, and establish a system of equations for solution: , where a and b represent different dates, and represent the wastewater flow data discharged from industrial enterprises on dates a and b, and represent the wastewater quality parameter data discharged from industrial enterprises on dates a and b, is the urban sewage flow data, is the water quality parameter data of urban sewage; and represent the water quality parameter data obtained by the detection instrument on dates a and b; Solve the system of equations to obtain and ; Step 2: Repeat Step 1 at different time points to obtain the time series of the water quality parameters and flow of urban sewage, and generate the standard water quality parameter curve and the flow curve.

[0009] Urban sewage has the characteristics of relatively stable water volume and water quality. According to the characteristics of urban sewage, a standard water quality parameter curve and a flow curve can be generated as a reference; Through the public discharge information of industrial enterprises, the wastewater quality parameter data and wastewater flow data discharged from industrial enterprises are obtained, and the information disclosure has a lag; Based on the publicly available wastewater quality parameter data and wastewater flow data discharged from industrial enterprises, the water volume and water quality of urban sewage are solved; The purpose of selecting the same time is to keep the water volume and water quality of urban sewage relatively stable. For the selection of dates, dates without industrial wastewater discharge and dates when there is no industrial wastewater discharge can be selected. When there is no industrial wastewater discharge, the water volume and water quality data of urban sewage can be directly obtained according to the data obtained by the detection instrument; When there is intermittent discharge of industrial wastewater, it cannot be directly obtained. There are two unknowns, and two parameters are solved through a system of binary linear equations; In order to eliminate contingency, the data at the same time point on multiple dates are selected for calculation and averaged; The method of obtaining the diluted water quality parameter deviation curve according to the diluted real-time water quality parameter curve and the standard water quality parameter curve further includes the following steps: Subtract the water quality parameters on the standard water quality parameter curve from the water quality parameters on the diluted real-time water quality parameter curve to obtain the diluted water quality parameter deviation curve; Obtain the standard flow curve and the real-time flow curve, and subtract the flow on the standard flow curve from the flow on the real-time flow curve to obtain the flow deviation curve; Multiply the water quality parameters on the diluted water quality parameter deviation curve by the flow on the real-time flow curve to obtain the water quality parameter change curve; Multiply the water quality parameters on the standard water quality parameter curve by the flow rate on the real-time flow rate curve to obtain the standard quantity curve of the water quality parameters. Add the standard quantity curve of the water quality parameters to the change quantity curve of the water quality parameters to obtain the water quality parameter quantity curve of the industrial wastewater. Divide the water quality parameter quantity curve of the industrial wastewater by the flow rate deviation curve to obtain the water quality parameter deviation curve before dilution. If the change quantity of the water quality parameters is not less than zero, the water quality parameters of the industrial wastewater discharged are greater than those of the urban sewage. If the change quantity of the water quality parameters is less than zero, the water quality parameters of the industrial wastewater discharged are less than those of the urban sewage. The change quantity of the water quality parameters itself has a positive or negative sign and does not require additional addition.

[0010] The discharge of industrial wastewater will have a dilution effect on urban sewage. If the pollutant concentration of industrial wastewater is significantly lower than that of urban domestic sewage, its discharge will dilute the concentration of the mixed sewage. If the pollutant concentration of industrial wastewater is higher than that of urban domestic sewage, it will increase the concentration of the mixed sewage. After determining the existence of industrial wastewater discharge, convert the deviation curve after dilution into the deviation curve before dilution. Since the deviation curve is generated by industrial wastewater discharge, the industrial wastewater discharge curve at the current moment can be analyzed. Specifically, the analysis of the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of the intermittent discharge of industrial wastewater further includes the following steps: Obtain the public water quality parameter data and wastewater flow rate data of industrial wastewater discharged from historical data to obtain the water quality parameter curve of the intermittent discharge of industrial wastewater. Let Li represent the water quality parameter curve of the i-th intermittent discharge of industrial wastewater. Calculate the root mean square error between the water quality parameter deviation curve before dilution from time t - T to time t and the water quality parameter curve Li of the i-th intermittent discharge of industrial wastewater, where the starting points of the water quality parameter deviation curve before dilution and the water quality parameter curve of the intermittent discharge of industrial wastewater at time t - T are aligned. T is the time window and t is the current time. Obtain the minimum value of the root mean square error between the water quality parameter before dilution from time t - T to time t and all the water quality parameter curves of the intermittent discharge of industrial wastewater. Let the water quality parameter curve of the intermittent discharge of industrial wastewater corresponding to the minimum value of the root mean square error be Lmin. Convert the minimum value of the root mean square error to obtain the matching degree. The matching degree is inversely correlated with the root mean square error. Determine the starting point t0 of the intermittent discharge of industrial wastewater on the real-time water quality parameter curve. Starting from time t0, superimpose the standard water quality parameter curve and the water quality parameter curve Lmin of the intermittent discharge of industrial wastewater to obtain the prediction result of the water quality parameter curve of the sewage after the current time t.

[0011] Specifically, determining the starting point of the intermittent discharge of industrial wastewater further includes the following steps: Obtain the water quality parameter curve of intermittent industrial wastewater discharge. Align the current time t with the starting point of the water quality parameter curve of intermittent industrial wastewater discharge. Calculate the root mean square error between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent industrial wastewater discharge within the time window T. Gradually translate the water quality parameter curve of intermittent industrial wastewater discharge forward in steps of T / K to obtain the root mean square error between the water quality parameter deviation curve before dilution after translation and the water quality parameter curve of intermittent industrial wastewater discharge. When the total translation step reaches T, complete the translation operation. Determine the translation step step corresponding to the minimum root mean square error, and subtract step from time t to obtain the starting point of intermittent industrial wastewater discharge. K is a positive integer.

[0012] Specifically, tracking the matching degree further includes the following steps: Take the prediction result of the sewage water quality parameter curve as the comparison parameter curve, and obtain the matching degree between the real-time water quality parameter curve and the comparison parameter curve. When the matching degree is not less than the set threshold, the comparison parameter curve is consistent with the real-time water quality parameter curve, and there is no need to perform re-matching. When the matching degree is less than the set threshold, determine whether the flow deviation curve conforms to the characteristics of intermittent industrial wastewater discharge. If it conforms, keep the starting time t0 of intermittent industrial wastewater discharge unchanged, calculate the root mean square error between the water quality parameter deviation curve before dilution within the time from t0 to the current time and the water quality parameter curve Li of the i-th intermittent industrial wastewater discharge, re-obtain the water quality parameter curve Lmin of intermittent industrial wastewater discharge corresponding to the minimum root mean square error, and superimpose the standard water quality parameter curve and the water quality parameter curve Lmin of intermittent industrial wastewater discharge to obtain the prediction result of the sewage water quality parameter curve after the current time. If it does not conform, there is no intermittent industrial wastewater discharge, and dynamically regulate the sewage according to the standard water quality parameter curve.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: The pollutant concentration in sewage may change due to factors such as industrial wastewater discharge and rainfall. By predicting the water quality change of sewage, the treatment parameters can be adjusted in advance, which can better cope with the fluctuations of sewage. Through dynamic regulation, the sewage treatment plant can treat sewage more effectively, improve the treatment efficiency, and at the same time reduce the energy consumption of the sewage treatment plant. Brief Description of the Drawings

[0014] Figure 1 It is a schematic structural diagram of a sewage treatment dynamic regulation system based on data analysis according to the present invention. Detailed Embodiment

[0015] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0016] Embodiment: As Figure 1 shown, the present invention provides a technical solution, a sewage treatment dynamic regulation system based on data analysis, including a data storage module, a data acquisition module, a sewage treatment module, and an analysis module; the output end of the data acquisition module is connected to the input ends of the data storage module and the analysis module, and is used to obtain the flow rate and water quality parameter data of sewage; the output end of the data storage module is connected to the input end of the analysis module, and is used to store the historical data of sewage water quality parameters and flow rate; the output end of the analysis module is connected to the input end of the sewage treatment module, and is used to analyze the real-time water quality parameter curve to obtain the water quality parameter deviation curve before dilution, determine the intermittent industrial wastewater discharge water quality parameter curve matching the current water quality parameters according to the water quality parameter deviation curve before dilution, and obtain the prediction result of the sewage water quality parameter curve according to the intermittent industrial wastewater discharge water quality parameter curve; the sewage treatment module adjusts the treatment parameters in advance according to the prediction result of the sewage water quality parameter curve to cope with the fluctuation of sewage.

[0017] The data acquisition module further includes a detection unit and a public information acquisition unit; the detection unit obtains the real-time water quality parameter curve and flow rate curve of sewage through detection instruments; the public information acquisition unit is used to obtain the publicly disclosed sewage discharge information of industrial enterprises. The analysis module further includes a standard curve generation unit, a deviation analysis unit, a conversion unit, a matching degree analysis and tracking unit, and an emission start point determination unit; the standard curve generation unit is used to generate a standard water quality parameter curve and a flow rate curve when there is no intermittent industrial wastewater discharge; the deviation analysis unit is used to analyze the deviation between the real-time water quality parameter curve after dilution and the standard water quality parameter curve to obtain the water quality parameter deviation curve after dilution; the conversion unit is used to convert the water quality parameter deviation curve after dilution into the water quality parameter deviation curve before dilution; the matching degree analysis and tracking unit is used to analyze the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent industrial wastewater discharge, and generate the prediction result of the sewage water quality parameter curve; the emission start point determination unit is used to determine the start time of intermittent industrial wastewater discharge. The sewage treatment module further includes an automatic control unit, which dynamically adjusts various parameters in the sewage treatment process according to the prediction result of the sewage water quality parameter curve to cope with the sewage fluctuation.

[0018] Embodiment: The present invention provides a technical solution, a dynamic regulation method for sewage treatment based on data analysis, including the following steps: Obtain historical data of sewage water quality parameters and flow rate from the data storage module, and generate a standard water quality parameter curve and a flow rate curve according to the obtained historical data: Including the following steps: Step 1, obtain historical data of sewage water quality parameters and flow rate at the same time point on different dates, and establish a system of equations for solution: , where a and b represent different dates, and represent the industrial wastewater flow rate data on dates a and b, and represent the industrial wastewater quality parameter data on dates a and b, is the urban sewage flow rate data, is the water quality parameter data of urban sewage; and represent the water quality parameter data obtained by the detection instrument on dates a and b; Solve the system of equations to obtain and ; Step 2, repeat Step 1 at different time points to obtain the time series of water quality parameters and flow rate of urban sewage, and generate a standard water quality parameter curve and a flow rate curve.

[0019] In the historical data, at the time point SJD on the x1th day, there is no industrial wastewater discharge, and the urban sewage volume and water quality data can be directly obtained according to the data obtained by the detection instrument. At the time point SJD on the x2th and x3th days, there is industrial wastewater discharge, then substitute the industrial wastewater discharge information into the system of equations to obtain the urban sewage volume and water quality data; In this way, 2 sets of urban sewage volume and water quality data are obtained; The number of the standard water quality parameter curve and the flow rate curve may not be one, but the two are in a one-to-one correspondence relationship; For example, there may be differences in the volume and water quality of urban sewage during weekdays and holidays. Through the clustering algorithm, similar data can be merged. When 2 sets of similar urban sewage volume and water quality data are obtained, such as data generated during weekdays, they can be merged to extract typical standard water quality parameter curves and flow rate curves; If the data are not similar, they are not merged, but two sets of standard water quality parameter curves and flow rate curves are generated.

[0020] Obtain the real-time water quality parameter curve and the flow rate curve through the detection instrument; Obtain the flow rate deviation curve according to the real-time flow rate curve and the standard flow rate curve: Judge whether the flow deviation curve conforms to the characteristics of intermittent industrial wastewater discharge. If it conforms, the real-time water quality parameter curve is the diluted real-time water quality parameter curve. Based on the diluted real-time water quality parameter curve and the standard water quality parameter curve, obtain the diluted water quality parameter deviation curve, and based on the diluted water quality parameter deviation curve, obtain the water quality parameter deviation curve before dilution; Subtract the water quality parameters on the standard water quality parameter curve from the water quality parameters on the diluted real-time water quality parameter curve to obtain the diluted water quality parameter deviation curve; Obtain the standard flow curve and the real-time flow curve, and subtract the flow on the standard flow curve from the flow on the real-time flow curve to obtain the flow deviation curve; Multiply the water quality parameters on the diluted water quality parameter deviation curve by the flow on the real-time flow curve to obtain the change curve of the water quality parameters; Multiply the water quality parameters on the standard water quality parameter curve by the flow on the real-time flow curve to obtain the standard quantity curve of the water quality parameters. Add the standard quantity curve of the water quality parameters to the change curve of the water quality parameters to obtain the water quality quantity curve of the industrial wastewater; Divide the water quality quantity curve of the industrial wastewater by the flow deviation curve to obtain the water quality parameter deviation curve before dilution; If the change in water quality parameters is not less than zero, the water quality parameters of the industrially discharged wastewater are greater than those of the urban sewage. If the change in water quality parameters is less than zero, the water quality parameters of the industrially discharged wastewater are less than those of the urban sewage. The change in water quality parameters itself has a positive or negative sign and does not require additional addition.

[0021] Determine the water quality parameter deviation curve before dilution by calculating the water quality quantity. For example, if the water quality parameter is COD, multiply the water quality parameters on the diluted water quality parameter deviation curve by the flow on the real-time flow curve, that is, multiply the concentration difference by the flow, then determine the change in the COD amount after the industrial wastewater is discharged. When the concentration difference is greater than zero, the industrial wastewater discharges additional COD based on the COD of the urban sewage, and vice versa.

[0022] If it does not conform, continue to monitor the flow deviation curve and dynamically regulate the sewage according to the standard water quality parameter curve.

[0023] Analyze the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent industrial wastewater discharge to determine the mode of intermittent industrial wastewater discharge; According to the mode of intermittent industrial wastewater discharge and the standard water quality parameter curve, obtain the prediction result of the sewage water quality parameter curve: Obtain the publicly available wastewater quality parameter data and wastewater flow data from historical data to obtain the water quality parameter curve of intermittent industrial wastewater discharge. Let Li represent the water quality parameter curve of the i-th intermittent industrial wastewater discharge. Calculate the root mean square error between the water quality parameter deviation curve before dilution from time t - T to time t and the water quality parameter curve Li of the i-th intermittent industrial wastewater discharge, where the starting point of the water quality parameter deviation curve before dilution at time t - T is aligned with the starting point of the water quality parameter curve of intermittent industrial wastewater discharge; T is the time window, and t is the current time. Obtain the minimum root mean square error between the water quality parameter before dilution from time t - T to time t and all the water quality parameter curves of intermittent industrial wastewater discharge. Let the water quality parameter curve of intermittent industrial wastewater discharge corresponding to the minimum root mean square error be Lmin. Convert the minimum root mean square error to obtain the matching degree, and the matching degree is inversely correlated with the root mean square error. Determine the starting point t0 of intermittent industrial wastewater discharge on the real-time water quality parameter curve. Starting from time t0, superimpose the standard water quality parameter curve and the water quality parameter curve Lmin of intermittent industrial wastewater discharge to obtain the prediction result of the sewage water quality parameter curve after the current time t. The superimposition method is determined with reference to the equation: , all items on the left are known items, and the right side is the predicted sewage water quality parameter.

[0024] Determining the starting point of intermittent industrial wastewater discharge further includes the following steps: Obtain the water quality parameter curve of intermittent industrial wastewater discharge, align the current time t with the starting point of the water quality parameter curve of intermittent industrial wastewater discharge, calculate the root mean square error between the water quality parameter deviation curve before dilution within the time window T and the water quality parameter curve of intermittent industrial wastewater discharge. Gradually translate the water quality parameter curve of intermittent industrial wastewater discharge forward in steps of T / K, obtain the root mean square error between the water quality parameter deviation curve before dilution after translation and the water quality parameter curve of intermittent industrial wastewater discharge. When the total translation step reaches T, complete the translation operation. Determine the translation step step corresponding to the minimum root mean square error, and subtract step from time t to obtain the starting point of intermittent industrial wastewater discharge. K is a positive integer. Adjust the treatment parameters in advance based on the prediction result of the sewage water quality parameter curve to cope with the fluctuations of the sewage.

[0025] Since the root mean square error is calculated according to the time window T, there will be such a situation at this time. Within a time window T, assuming that the start time of industrial wastewater discharge is T / 2 and the current time is T, if it is detected whether the flow deviation curve conforms to the characteristics of intermittent industrial wastewater discharge, then the water quality parameter curve Lmin corresponding to the minimum root mean square error within the time period [0, T] for intermittent industrial wastewater discharge is determined. After determining Lmin, within [0, T / 2], there is no intermittent industrial wastewater discharge, but it is calculated as if there is intermittent industrial wastewater discharge. When the starting point is within [0, T / 2), the error will increase; when the start time reaches T / 2, there is intermittent industrial wastewater discharge within [T / 2, 3T / 2], and it is calculated as if there is intermittent industrial wastewater discharge, so the error decreases; when the starting point is within (T / 2, T], there is a time difference between the water quality parameter curve of intermittent industrial wastewater discharge and the standard water quality parameter curve, and the error will also increase after superposition.

[0026] During the sewage treatment process, the tracking of the matching degree is maintained in real time, which specifically includes the following steps: Taking the prediction result of the sewage water quality parameter curve as the comparison parameter curve, obtaining the matching degree between the real-time water quality parameter curve and the comparison parameter curve. When the matching degree is not less than the set threshold, the comparison parameter curve conforms to the real-time water quality parameter curve, and there is no need to perform re-matching; When the matching degree is less than the set threshold, it is judged whether the flow deviation curve conforms to the characteristics of intermittent industrial wastewater discharge. If it conforms, the starting time t0 of intermittent industrial wastewater discharge remains unchanged, obtaining the root mean square error between the water quality parameter deviation curve before dilution and the water quality parameter curve Li of the i-th intermittent industrial wastewater discharge from t0 to the current time, and re-obtaining the water quality parameter curve Lmin corresponding to the minimum root mean square error of intermittent industrial wastewater discharge. Superposing the standard water quality parameter curve and the water quality parameter curve Lmin of intermittent industrial wastewater discharge to obtain the prediction result of the sewage water quality parameter curve after the current time; if it does not conform, there is no intermittent industrial wastewater discharge, and the sewage is dynamically regulated according to the standard water quality parameter curve.

[0027] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. A method for dynamic regulation of sewage treatment based on data analysis, characterized in that: The following steps are involved: Acquire historical data of sewage water quality parameters and flow rate from the data storage module, and generate standard water quality parameter curves and flow rate curves based on the acquired historical data; The real-time water quality parameter curve and flow curve are obtained by the detection instrument; the flow deviation curve is obtained according to the real-time flow curve and the standard flow curve, and it is judged whether the flow deviation curve is consistent with the characteristics of intermittent discharge of industrial wastewater. If it is consistent, the real-time water quality parameter curve is the real-time water quality parameter curve after dilution, and the diluted water quality parameter deviation curve is obtained according to the diluted real-time water quality parameter curve and the standard water quality parameter curve, and the water quality parameter deviation curve before dilution is obtained based on the diluted water quality parameter deviation curve; if it is not consistent, the flow deviation curve is monitored and the sewage is dynamically regulated according to the standard water quality parameter curve; Analyze the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent discharge of industrial wastewater to determine the pattern of intermittent discharge of industrial wastewater; obtain the prediction results of the sewage water quality parameter curve based on the pattern of intermittent discharge of industrial wastewater and the standard water quality parameter curve, and adjust the treatment parameters in advance based on the prediction results of the sewage water quality parameter curve to cope with the fluctuation of sewage.

2. A method for dynamic regulation of sewage treatment based on data analysis according to claim 1, characterized in that: Generating a standard water quality parameter curve and a flow curve according to the acquired historical data comprises the following steps: Step 1: Obtain historical data of sewage quality parameters and flow at the same time point on different dates, and establish a set of equations for solution: , where a and b represent different dates, and represents the wastewater flow data discharged by the industry on dates a and b, and It represents the water quality parameter data of industrial wastewater discharged on dates a and b. is the urban sewage flow data, Water quality parameter data for urban sewage; and It represents the water quality parameter data obtained by the detection instrument on dates a and b; solving the equations gives and ; Step 2: Repeat step 1 at different time points to obtain the water quality parameters and flow time series of urban sewage, and generate standard water quality parameter curves and flow curves.

3. A method for dynamic regulation of sewage treatment based on data analysis according to claim 2, characterized in that: The method of obtaining a diluted water quality parameter deviation curve according to the diluted real-time water quality parameter curve and the standard water quality parameter curve also includes the following steps: Subtract the water quality parameters on the standard water quality parameter curve from the water quality parameters on the diluted real-time water quality parameter curve to obtain a diluted water quality parameter deviation curve; obtain the standard flow curve and the real-time flow curve, and subtract the flow on the real-time flow curve from the flow on the standard flow curve to obtain a flow deviation curve; multiply the water quality parameters on the diluted water quality parameter deviation curve by the flow on the real-time flow curve to obtain a water quality parameter change curve; The water quality parameter on the standard water quality parameter curve is multiplied by the flow rate on the real-time flow rate curve to obtain the standard quantity curve of the water quality parameter; the standard quantity curve of the water quality parameter is added to the change quantity curve of the water quality parameter to obtain the water quality parameter quantity curve of the industrial wastewater; the water quality parameter quantity curve of the industrial wastewater is divided by the flow rate deviation curve to obtain the water quality parameter deviation curve before dilution; If the change in water quality parameters is not less than zero, the water quality parameters of industrial wastewater are greater than those of urban sewage. If the change in water quality parameters is less than zero, the water quality parameters of industrial wastewater are less than those of urban sewage. The change in water quality parameters itself has positive and negative signs and no additional addition is required.

4. A method for dynamic regulation of sewage treatment based on data analysis according to claim 3, characterized in that: The analysis of the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent discharge of industrial wastewater also includes the following steps: Obtain the public industrial wastewater quality parameter data and wastewater flow data from historical data, obtain the water quality parameter curve of intermittent industrial wastewater discharge, let Li represent the water quality parameter curve of the i-th industrial wastewater intermittent discharge, calculate the root mean square error between the water quality parameter deviation curve before dilution from time tT to time t and the water quality parameter curve Li of the i-th industrial wastewater intermittent discharge, where the water quality parameter deviation curve before dilution from time tT is aligned with the starting point of the water quality parameter curve of intermittent industrial wastewater discharge; T is the time window, t is the current time; obtain the dilution from time tT to time t The minimum root mean square error between the water quality parameters before release and the water quality parameter curves of all intermittent discharges of industrial wastewater is determined, and the water quality parameter curve of intermittent discharge of industrial wastewater corresponding to the minimum root mean square error is set as Lmin. The minimum root mean square error is converted to obtain the matching degree, and the matching degree is inversely correlated with the root mean square error. The starting point t0 of intermittent discharge of industrial wastewater is determined on the real-time water quality parameter curve. Starting from time t0, the standard water quality parameter curve and the water quality parameter curve Lmin of intermittent discharge of industrial wastewater are superimposed to obtain the prediction result of the sewage water quality parameter curve after the current time t.

5. A method for dynamic regulation of sewage treatment based on data analysis according to claim 4, characterized in that: Determining the starting point of intermittent discharge of industrial wastewater also includes the following steps: Obtain the water quality parameter curve of intermittent discharge of industrial wastewater, align the current time t with the starting point of the water quality parameter curve of intermittent discharge of industrial wastewater, calculate the root mean square error between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent discharge of industrial wastewater in the time window T, and gradually translate the water quality parameter curve of intermittent discharge of industrial wastewater forward according to the time step T / K to obtain the root mean square error between the water quality parameter deviation curve before dilution after translation and the water quality parameter curve of intermittent discharge of industrial wastewater. When the total step length of the translation reaches T, the translation operation is completed; determine the translation step length step corresponding to the minimum root mean square error, subtract step from time t to obtain the starting point of intermittent discharge of industrial wastewater, and K is a positive integer.

6. A method for dynamic regulation of sewage treatment based on data analysis according to claim 5, characterized in that: Tracking the matching degree also includes the following steps: The predicted result of the sewage water quality parameter curve is used as the comparison parameter curve to obtain the matching degree between the real-time water quality parameter curve and the comparison parameter curve. When the matching degree is not less than the set threshold, the comparison parameter curve is consistent with the real-time water quality parameter curve and no re-matching is required. When the matching degree is less than the set threshold, it is determined whether the flow deviation curve is consistent with the characteristics of intermittent discharge of industrial wastewater. If it is consistent, the starting time t0 of the intermittent discharge of industrial wastewater is kept unchanged, and the root mean square error between the water quality parameter deviation curve before dilution from t0 to the current time and the water quality parameter curve Li of the i-th industrial wastewater intermittent discharge is obtained, and the water quality parameter curve Lmin of the intermittent discharge of industrial wastewater corresponding to the minimum root mean square error is re-obtained, and the standard water quality parameter curve and the water quality parameter curve Lmin of the intermittent discharge of industrial wastewater are superimposed to obtain the prediction result of the sewage water quality parameter curve after the current time; if it does not match, there is no intermittent discharge of industrial wastewater, and the sewage is dynamically regulated according to the standard water quality parameter curve.

7. A sewage treatment dynamic control system based on data analysis, characterized in that: It includes a data storage module, a data acquisition module, a sewage treatment module and an analysis module; the output end of the data acquisition module is connected to the input end of the data storage module and the analysis module, and is used to obtain the flow and water quality parameter data of the sewage; the output end of the data storage module is connected to the input end of the analysis module, and is used to store the historical data of the sewage water quality parameters and flow; the output end of the analysis module is connected to the input end of the sewage treatment module, and is used to analyze the real-time water quality parameter curve to obtain the water quality parameter deviation curve before dilution, and determine the industrial wastewater intermittent discharge water quality parameter curve that matches the current water quality parameters according to the water quality parameter deviation curve before dilution, and obtain the prediction result of the sewage water quality parameter curve according to the industrial wastewater intermittent discharge water quality parameter curve; the sewage treatment module adjusts the treatment parameters in advance according to the prediction result of the sewage water quality parameter curve to cope with the fluctuation of sewage.

8. A sewage treatment dynamic control system based on data analysis according to claim 7, characterized in that: The data acquisition module also includes a detection unit and a public information acquisition unit; the detection unit obtains the real-time water quality parameter curve and flow curve of the sewage through the detection instrument; the public information acquisition unit is used to obtain the sewage discharge information disclosed by the industrial enterprises.

9. A sewage treatment dynamic control system based on data analysis according to claim 8, characterized in that: The analysis module also includes a standard curve generating unit, a deviation analyzing unit, a conversion unit, a matching degree analysis tracking unit and a discharge starting point determining unit; the standard curve generating unit is used to generate a standard water quality parameter curve and a flow curve when there is no intermittent discharge of industrial wastewater; the deviation analyzing unit is used to analyze the deviation between the real-time water quality parameter curve after dilution and the standard water quality parameter curve to obtain the water quality parameter deviation curve after dilution; the conversion unit is used to convert the water quality parameter deviation curve after dilution into the water quality parameter deviation curve before dilution; the matching degree analysis tracking unit is used to analyze the matching degree between the water quality parameter deviation curve before dilution and the water quality parameter curve of intermittent discharge of industrial wastewater to generate a prediction result of the wastewater water quality parameter curve; the discharge starting point determining unit is used to determine the starting time of intermittent discharge of industrial wastewater.

10. A sewage treatment dynamic control system based on data analysis according to claim 9, characterized in that: The sewage treatment module also includes an automatic control unit, which dynamically adjusts various parameters in the sewage treatment process according to the prediction results of the sewage water quality parameter curve to cope with sewage fluctuations.

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