Clarification tank sewage treatment control method and system based on mechanical acceleration

Abstract

The invention discloses a clarification tank sewage treatment control method and system based on mechanical acceleration. The clarification tank sewage treatment control method comprises the following steps: acquiring and preprocessing historical mechanical operation data of a clarification tank and turbidity change data of corresponding sewage; analyzing the preprocessed data, and determining mechanical operation parameters influencing the turbidity change of the sewage in historical mechanical operation data; building a turbidity change prediction model based on the mechanical operation parameters and a preset neural network model, and performing prediction to obtain turbidity change prediction data; obtaining a turbidity change requirement, and analyzing difference characteristics between the turbidity change prediction data and the turbidity change prediction data; evaluating the sewage treatment performance of the clarification tank according to the difference characteristics to obtain a sewage treatment performance evaluation value; and determining an adjustment coefficient according to the sewage treatment performance evaluation value, and adjusting and controlling the real-time mechanical operation parameters. According to the invention, monitoring, prediction and regulation control of clarification tank sewage treatment can be realized, the sewage treatment efficiency is improved, and the operation cost and energy consumption are reduced at the same time.

Description

Technical Field

[0001] The invention relates to the technical field of floating wind power generation, and in particular to a clarifier sewage treatment control method and system based on mechanical acceleration. Background Art

[0002] With the continuous advancement of urbanization, sewage treatment has become an important part of urban environmental management. As a key facility in the sewage treatment system, the clarifier plays a vital role in the purification and treatment of sewage. In order to improve the sewage treatment efficiency and performance of the clarifier, a sewage treatment control method for the clarifier based on mechanical acceleration came into being.

[0003] However, traditional sewage treatment methods in clarifiers usually rely on gravity sedimentation and natural sedimentation, which has problems such as low treatment efficiency, large footprint, and sensitivity to water quality changes. In order to overcome these problems, a control method based on mechanical acceleration has emerged, which accelerates the sedimentation and removal of suspended matter and impurities in sewage through mechanical action, thereby improving sewage treatment efficiency and purifying water quality. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a clarifier sewage treatment control method and system based on mechanical acceleration, comprising:

[0005] Obtain the historical mechanical operation data of the clarifier and the turbidity change data of the corresponding sewage, and pre-process the historical mechanical operation data and turbidity change data;

[0006] Analyze the historical mechanical operation data and turbidity change data after pretreatment to determine the mechanical operation parameters that affect the turbidity change of sewage in the historical mechanical operation data;

[0007] A sewage turbidity change prediction model is constructed based on the mechanical operation parameters and the preset neural network model, and the real-time mechanical operation parameters of the clarifier are obtained, and the sewage turbidity change prediction data is predicted according to the turbidity change prediction model;

[0008] Obtain turbidity change requirements, and analyze the difference characteristics between the turbidity change prediction data of sewage and the turbidity change requirements;

[0009] Analyze and evaluate the sewage treatment performance of the clarifier according to the difference characteristics, and obtain the sewage treatment performance evaluation value of the clarifier;

[0010] The adjustment coefficient is determined according to the sewage treatment performance evaluation value of the clarifier, and the real-time mechanical operation parameters of the clarifier are adjusted and controlled according to the adjustment coefficient.

[0011] Furthermore, the preprocessing of the historical mechanical operation data and turbidity change data includes:

[0012] The historical mechanical operation data and turbidity change data are preprocessed, which includes removing erroneous data points and duplicate data points, filling in missing data points, and standardizing the data.

[0013] Furthermore, the analysis of the historical mechanical operation data and turbidity change data after pretreatment to determine the mechanical operation parameters in the historical mechanical operation data that affect the turbidity change of the sewage includes:

[0014] The pre-processed historical mechanical operation data are divided into several mechanical operation parameter data groups according to parameter types, and the correlation coefficient between each mechanical operation parameter data group and the turbidity change data is calculated respectively;

[0015] Several correlation coefficients between the mechanical operation parameter data set and the turbidity change data are sorted in descending order, and the mechanical operation parameter data in the first three of the sequence are determined as the mechanical operation parameters in the historical mechanical operation data that affect the turbidity change of the sewage.

[0016] Furthermore, the turbidity change prediction model of the sewage is constructed based on the mechanical operation parameters and the preset neural network model, and the real-time mechanical operation parameters of the clarifier are obtained, and the turbidity change prediction data of the sewage is predicted according to the turbidity change prediction model, including:

[0017] A data set is constructed based on the mechanical operating parameters and the turbidity change data corresponding to the mechanical operating parameters, and the data set is input into a preset neural network model to construct an initial model for predicting turbidity changes in sewage;

[0018] The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the initial model for predicting the turbidity change of sewage;

[0019] The initial model for predicting the turbidity change of sewage is trained and tested until the initial model for predicting the turbidity change of sewage meets a preset convergence condition, thereby obtaining a model for predicting the turbidity change of sewage;

[0020] The real-time mechanical operating parameters of the clarifier are obtained, and the real-time mechanical operating parameters are input into the sewage turbidity change prediction model for prediction, so as to obtain the turbidity change prediction data of the sewage in the clarifier.

[0021] Furthermore, the obtaining of turbidity change requirements and analyzing the difference characteristics between the sewage turbidity change prediction data and the turbidity change requirements include:

[0022] Obtaining a turbidity change requirement, and extracting a turbidity change requirement value from the turbidity change requirement;

[0023] Subtract each data in the sewage turbidity change prediction data from the turbidity change requirement value to obtain the sewage turbidity change deviation data;

[0024] The turbidity change deviation data of the sewage is plotted into a turbidity change deviation curve, and the turbidity change deviation curve is divided into a plurality of curve segments according to a preset sliding time window;

[0025] Calculate the average value of the turbidity change deviation curve and each curve segment respectively, and select the curve segment whose average value exceeds the average value of the turbidity change deviation curve as the candidate curve segment;

[0026] The maximum slope value and the minimum slope value at a certain point in each candidate curve segment are calculated respectively, and the maximum slope value and the minimum slope value corresponding to each candidate curve segment are used as the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirements.

[0027] Furthermore, the sewage treatment performance of the clarifier is analyzed and evaluated according to the difference characteristics to obtain the sewage treatment performance evaluation value of the clarifier, including:

[0028] Obtain the maximum slope value and the minimum slope value corresponding to each candidate curve segment, and pre-set the standard efficiency value;

[0029] Calculate the difference between the maximum slope value and the minimum slope value to obtain a first difference, and respectively calculate the absolute value of the difference between the maximum slope value and the minimum slope value and the standard efficiency value to obtain a second difference and a third difference;

[0030] Calculate the ratios of the second difference and the third difference to the first difference respectively to obtain the first ratio and the second ratio, and evaluate the first ratio and the second ratio respectively to obtain evaluation values ​​corresponding to the first ratio and the second ratio;

[0031] The evaluation value corresponding to the first ratio and the second ratio of each curve segment is calculated by weighted addition with the preset weights to obtain the evaluation value of each curve segment;

[0032] The evaluation values ​​of each curve segment are added together to obtain the sewage treatment performance evaluation value of the clarifier.

[0033] Furthermore, the step of determining the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjusting and controlling the real-time mechanical operation parameters of the clarifier according to the adjustment coefficient includes:

[0034] The corresponding relationship between the adjustment coefficient and the sewage treatment performance evaluation value interval is preset, and the corresponding relationship between the adjustment coefficient and the sewage treatment performance evaluation value interval is associated with a corresponding adjustment coefficient for each sewage treatment performance evaluation value interval;

[0035] Obtaining the sewage treatment performance evaluation value, and based on the mapping relationship between the sewage treatment performance evaluation value interval to which the difference belongs and the adjustment coefficient-sewage treatment performance evaluation value interval correspondence relationship, selecting the adjustment coefficient corresponding to the sewage treatment performance evaluation value interval;

[0036] Each parameter of the real-time mechanical operation parameter of the clarifier is multiplied according to the adjustment coefficient to complete the adjustment control of the real-time mechanical operation parameter of the clarifier.

[0037] The present invention also provides a clarifier sewage treatment control system based on mechanical acceleration, comprising:

[0038] An acquisition module is used to acquire the historical mechanical operation data of the clarifier and the turbidity change data of the corresponding sewage, and to pre-process the historical mechanical operation data and the turbidity change data;

[0039] A determination module is used to analyze the historical mechanical operation data and turbidity change data after pretreatment, and determine the mechanical operation parameters that affect the turbidity change of the sewage in the historical mechanical operation data;

[0040] A prediction module is used to construct a sewage turbidity change prediction model based on mechanical operation parameters and a preset neural network model, obtain real-time mechanical operation parameters of the clarifier, and predict sewage turbidity change prediction data according to the turbidity change prediction model;

[0041] An analysis module, used for obtaining turbidity change requirements and analyzing difference characteristics between turbidity change prediction data of sewage and turbidity change requirements;

[0042] An evaluation module is used to analyze and evaluate the sewage treatment performance of the clarifier according to the difference characteristics, and obtain an evaluation value of the sewage treatment performance of the clarifier;

[0043] The control module is used to determine the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjust and control the real-time mechanical operation parameters of the clarifier according to the adjustment coefficient.

[0044] Compared with the prior art, the control method and system for clarifier sewage treatment based on mechanical acceleration in the embodiment of the present invention have the following beneficial effects:

[0045] The present invention obtains the historical mechanical operation data of the clarifier and the corresponding sewage turbidity change data, and performs appropriate preprocessing on them to ensure the quality and availability of the data;

[0046] The present invention determines the mechanical operation parameters that have a greater impact on the change in sewage turbidity by analyzing historical mechanical operation data and turbidity change data, providing a basis for subsequent modeling and prediction;

[0047] The present invention establishes a prediction model for sewage turbidity changes based on determined mechanical operating parameters, so that sewage turbidity changes can be predicted based on real-time mechanical operating parameters;

[0048] The present invention compares the predicted data with the actual turbidity change requirements, analyzes the difference characteristics between the two, and provides a basis for the evaluation of sewage treatment performance;

[0049] The present invention analyzes and evaluates the sewage treatment performance of the clarifier based on the difference characteristics, obtains the sewage treatment performance evaluation value of the clarifier, and provides a basis for subsequent regulation and control;

[0050] The present invention determines the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjusts and controls the real-time mechanical operation parameters of the clarifier to optimize the sewage treatment performance, improve the sewage treatment efficiency and water purification effect, and reduce the operation cost and energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the flow structure of a clarifier sewage treatment control method based on mechanical acceleration in an embodiment of the present invention;

[0052] Figure 2 It is a schematic diagram of the composition of a clarifier sewage treatment control system based on mechanical acceleration in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0054] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0055] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying a relative degree of importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "multiple" means two or more.

[0056] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technical personnel in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0057] like Figure 1 As shown, in an embodiment of the present application, a clarifier sewage treatment control method based on mechanical acceleration is provided, including: S100: obtaining historical mechanical operation data of the clarifier and turbidity change data of the corresponding sewage, and pre-processing the historical mechanical operation data and turbidity change data; S200: analyzing the pre-processed historical mechanical operation data and turbidity change data, and determining the mechanical operation parameters that affect the turbidity change of the sewage in the historical mechanical operation data; S300: constructing a sewage turbidity change prediction model based on the mechanical operation parameters and a preset neural network model, and obtaining the real-time mechanical operation parameters of the clarifier, and predicting the turbidity change prediction data of the sewage according to the turbidity change prediction model; S400: obtaining the turbidity change requirement, and analyzing the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirement; S500: analyzing and evaluating the sewage treatment performance of the clarifier according to the difference characteristics, and obtaining the sewage treatment performance evaluation value of the clarifier; S600: determining the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjusting and controlling the real-time mechanical operation parameters of the clarifier according to the adjustment coefficient.

[0058] Furthermore, the present invention obtains historical mechanical operation data of the clarifier and corresponding sewage turbidity change data, and performs appropriate preprocessing on the data to ensure the quality and availability of the data; the present invention determines the mechanical operation parameters that have a greater impact on the sewage turbidity change by analyzing the historical mechanical operation data and the turbidity change data, and provides a basis for subsequent modeling and prediction; the present invention establishes a prediction model for sewage turbidity change based on the determined mechanical operation parameters, so that the sewage turbidity change can be predicted according to the real-time mechanical operation parameters; the present invention compares the predicted data with the actual turbidity change requirements, analyzes the difference characteristics between the two, and provides a basis for the evaluation of sewage treatment performance; the present invention analyzes and evaluates the sewage treatment performance of the clarifier based on the difference characteristics, obtains the sewage treatment performance evaluation value of the clarifier, and provides a basis for subsequent adjustment and control; the present invention determines the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjusts and controls the real-time mechanical operation parameters of the clarifier to optimize the sewage treatment performance, improve the efficiency of sewage treatment and the water purification effect, and reduce the operating cost and energy consumption.

[0059] In an embodiment of the present application, a clarifier sewage treatment control method based on mechanical acceleration is provided, wherein the preprocessing of historical mechanical operation data and turbidity change data comprises: preprocessing the historical mechanical operation data and turbidity change data, the preprocessing comprises removing erroneous data points and duplicate data points, and filling in missing data points, and standardizing the data.

[0060] Specifically, remove erroneous data points and duplicate data points. Erroneous data points include outliers beyond a reasonable range, which can be identified and removed by setting thresholds. Duplicate data points can be found and removed by comparing timestamps. Fill in missing data points. For missing data points, you can choose a suitable interpolation method to fill them, such as linear interpolation, mean interpolation, or time series-based interpolation methods. Data standardization. Standardization can make data with different characteristics have similar scales and distributions. Z-score standardization or minimum-maximum standardization methods are usually used. Implement the above steps to gradually pre-process the historical machinery operation data and turbidity change data to ensure the quality and availability of the data, help ensure the accuracy and consistency of the historical machinery operation data and turbidity change data, and provide a reliable data basis for subsequent analysis and modeling.

[0061] In an embodiment of the present application, a clarifier sewage treatment control method based on mechanical acceleration is provided, wherein the historical mechanical operation data and turbidity change data after pretreatment are analyzed to determine the mechanical operation parameters in the historical mechanical operation data that affect the turbidity change of the sewage, including: dividing the historical mechanical operation data after pretreatment into several groups of mechanical operation parameter data groups according to parameter type, and calculating the correlation coefficient between each group of mechanical operation parameter data groups and the turbidity change data respectively; sorting several correlation coefficients between the mechanical operation parameter data groups and the turbidity change data in order from large to small, and determining the mechanical operation parameter data in the top three of the sequence as the mechanical operation parameters in the historical mechanical operation data that affect the turbidity change of the sewage.

[0062] Specifically, according to the type of mechanical operation parameters, the historical mechanical operation data are divided into different parameter groups, such as different parameter types such as liquid level, stirring speed, and water inlet flow rate; for each mechanical operation parameter data group, the correlation coefficient between it and the turbidity change data is calculated, and the correlation is calculated by using methods such as the Pearson correlation coefficient or the Spearman correlation coefficient; the correlation coefficient between each mechanical operation parameter data group and the turbidity change data is sorted from large to small to obtain the correlation coefficient ranking of each parameter group, and the top three mechanical operation parameter data groups are selected from the sorted correlation coefficients. These parameter groups are determined as the key mechanical operation parameters that affect the turbidity change of sewage in the historical mechanical operation data. Through the above steps, the mechanical operation parameters that have the greatest impact on the turbidity change of sewage in the historical mechanical operation data can be determined, thereby providing an important reference basis for subsequent modeling and prediction.

[0063] In an embodiment of the present application, a clarifier sewage treatment control method based on mechanical acceleration is provided, wherein a sewage turbidity change prediction model is constructed based on mechanical operating parameters and a preset neural network model, and real-time mechanical operating parameters of the clarifier are obtained, and turbidity change prediction data of the sewage are predicted according to the turbidity change prediction model, including: constructing a data set based on the mechanical operating parameters and the turbidity change data corresponding to the mechanical operating parameters, and inputting the data set into the preset neural network model to construct an initial model for predicting turbidity changes of sewage; dividing the data set into a training set and a test set according to a certain ratio, and inputting the training set and the test set into the initial model for predicting turbidity changes of sewage; training and testing the initial model for predicting turbidity changes of sewage until the initial model for predicting turbidity changes of sewage meets the preset convergence conditions to obtain the turbidity change prediction model for sewage; obtaining the real-time mechanical operating parameters of the clarifier, and inputting the real-time mechanical operating parameters into the sewage turbidity change prediction model for prediction to obtain turbidity change prediction data of sewage in the clarifier.

[0064] Specifically, the mechanical operating parameters and the corresponding turbidity change data are constructed into a data set to ensure that the format and structure of the data meet the input requirements of the neural network model; an appropriate neural network model is designed and constructed in advance, and the data set is input into the preset neural network model to construct an initial model for predicting the turbidity change of sewage; the constructed data set is divided into a training set and a test set according to a certain ratio to facilitate subsequent training and evaluation of the model, and the training set and the test set are input into the neural network model to train and test the model. During the training process, the model is iteratively trained according to the preset convergence conditions until the conditions are met; when the model meets the preset convergence conditions, a sewage turbidity change prediction model is obtained, which can be used to predict the turbidity change of sewage in the clarifier; the real-time mechanical operating parameters of the clarifier are obtained, and these parameters are input into the sewage turbidity change prediction model for prediction to obtain turbidity change prediction data of sewage in the clarifier.

[0065] In an embodiment of the present application, a clarifier sewage treatment control method based on mechanical acceleration is provided, wherein the turbidity change requirement is obtained and the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirement are analyzed, including: obtaining the turbidity change requirement and extracting the turbidity change requirement value from the turbidity change requirement; performing a difference calculation between each data in the turbidity change prediction data of the sewage and the turbidity change requirement value to obtain the turbidity change deviation data of the sewage; plotting the turbidity change deviation data of the sewage into a turbidity change deviation curve, and dividing the turbidity change deviation curve into a plurality of curve segments according to a preset sliding time window; respectively calculating the average value of the turbidity change deviation curve and each curve segment, and selecting the curve segment whose average value exceeds the average value of the turbidity change deviation curve as a candidate curve segment; respectively calculating the maximum slope value and the minimum slope value at a certain point in each candidate curve segment, and using the maximum slope value and the minimum slope value corresponding to each candidate curve segment as the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirement.

[0066] Specifically, the turbidity change requirement is obtained, and the value of the turbidity change requirement is extracted; each data in the turbidity change prediction data of the sewage is calculated by difference with the turbidity change requirement value to obtain the turbidity change deviation data of the sewage, and the turbidity change deviation data is plotted into a turbidity change deviation curve; according to the preset sliding time window, the turbidity change deviation curve is divided into several curve segments; the average values ​​of the turbidity change deviation curve and each curve segment are calculated respectively; the curve segments whose average values ​​exceed the average value of the turbidity change deviation curve are selected as candidate curve segments; for each candidate curve segment, the maximum slope value and the minimum slope value at a certain point in it are calculated, and these values ​​are used as the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirement. Through the above steps, the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirement can be obtained, which can help determine the difference between the prediction data and the actual requirements, and provide a basis for further analysis and optimization.

[0067] In an embodiment of the present application, a clarifier sewage treatment control method based on mechanical acceleration is provided, wherein the sewage treatment performance of the clarifier is analyzed and evaluated according to the difference characteristics to obtain the sewage treatment performance evaluation value of the clarifier, including: obtaining the maximum slope value and the minimum slope value corresponding to each candidate curve segment, and presetting the standard efficiency value; calculating the difference between the maximum slope value and the minimum slope value to obtain a first difference, and respectively calculating the absolute value of the difference between the maximum slope value and the minimum slope value and the standard efficiency value to obtain a second difference and a third difference; respectively calculating the ratio of the second difference and the third difference to the first difference to obtain a first ratio and a second ratio, and respectively evaluating and taking values ​​for the first ratio and the second ratio to obtain evaluation values ​​corresponding to the first ratio and the second ratio; performing weighted addition calculation based on the evaluation values ​​corresponding to the first ratio and the second ratio of each curve segment and preset weights to obtain an evaluation value of each curve segment; and adding the evaluation values ​​of each curve segment to obtain the sewage treatment performance evaluation value of the clarifier.

[0068] Specifically, the maximum slope value and the minimum slope value are obtained, and for each candidate curve segment, the corresponding maximum slope value and minimum slope value are calculated, and the standard efficiency value is set, which is set according to previous experience or professional knowledge; the difference between the maximum slope value and the minimum slope value is calculated to obtain the first difference, and then the absolute value of the difference between the maximum slope value and the minimum slope value and the standard efficiency value is calculated to obtain the second difference and the third difference; the ratio of the second difference and the third difference to the first difference is calculated to obtain the first ratio and the second ratio; the first ratio and the second ratio can be evaluated and valued according to the set evaluation criteria; the evaluation values ​​corresponding to the first ratio and the second ratio of each curve segment are weighted and added with the preset weights to obtain the evaluation value of each curve segment; the evaluation values ​​of each curve segment are added to obtain the sewage treatment performance evaluation value of the clarifier. Through the above steps, the sewage treatment performance evaluation value of the clarifier can be obtained, which quantitatively evaluates the sewage treatment process, finds performance differences, and provides a basis for further optimization and improvement.

[0069] In an embodiment of the present application, a method for controlling sewage treatment in a clarifier based on mechanical acceleration is provided, wherein an adjustment coefficient is determined according to a sewage treatment performance evaluation value of the clarifier, and real-time mechanical operating parameters of the clarifier are adjusted and controlled according to the adjustment coefficient, including: presetting an adjustment coefficient-sewage treatment performance evaluation value interval correspondence relationship, wherein the adjustment coefficient-sewage treatment performance evaluation value interval correspondence relationship is associated with a corresponding adjustment coefficient for each sewage treatment performance evaluation value interval; obtaining the sewage treatment performance evaluation value, and selecting an adjustment coefficient corresponding to the sewage treatment performance evaluation value interval based on a mapping relationship between the sewage treatment performance evaluation value interval to which the difference belongs within the adjustment coefficient-sewage treatment performance evaluation value interval correspondence relationship; and multiplying each parameter in the real-time mechanical operating parameters of the clarifier according to the adjustment coefficient to complete the adjustment control of the real-time mechanical operating parameters of the clarifier.

[0070] Specifically, a mapping relationship is set to associate the sewage treatment performance evaluation value interval with the corresponding adjustment coefficient; the sewage treatment performance evaluation value of the clarifier is obtained from the previous step, and the corresponding adjustment coefficient is found in the adjustment coefficient-sewage treatment performance evaluation value interval correspondence relationship based on the sewage treatment performance evaluation value interval to which the difference belongs; according to the adjustment coefficient, each parameter in the real-time mechanical operation parameters of the clarifier is multiplied and calculated to complete the adjustment and control of the real-time mechanical operation parameters of the clarifier. Through the above steps, the real-time mechanical operation parameters of the clarifier can be dynamically adjusted according to the sewage treatment performance evaluation value, thereby realizing real-time optimization and control of the sewage treatment process. This automated adjustment method can improve the efficiency and performance of sewage treatment.

[0071] like Figure 2As shown, in an embodiment of the present application, a clarifier sewage treatment control system based on mechanical acceleration is provided, including: an acquisition module, used to acquire historical mechanical operation data of the clarifier and turbidity change data of the corresponding sewage, and pre-process the historical mechanical operation data and turbidity change data; a determination module, used to analyze the pre-processed historical mechanical operation data and turbidity change data, and determine the mechanical operation parameters that affect the turbidity change of the sewage in the historical mechanical operation data; a prediction module, used to construct a turbidity change prediction model for sewage based on the mechanical operation parameters and a preset neural network model, and acquire the real-time mechanical operation parameters of the clarifier, and predict the turbidity change prediction data of the sewage according to the turbidity change prediction model; an analysis module, used to acquire turbidity change requirements, and analyze the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirements; an evaluation module, used to analyze and evaluate the sewage treatment performance of the clarifier according to the difference characteristics, and obtain the sewage treatment performance evaluation value of the clarifier; a control module, used to determine the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjust and control the real-time mechanical operation parameters of the clarifier according to the adjustment coefficient.

[0072] In summary, the embodiment of the present invention provides a clarifier sewage treatment control method and system based on mechanical acceleration, which includes: obtaining and pre-processing the historical mechanical operation data of the clarifier and the turbidity change data of the corresponding sewage; analyzing the pre-treated data to determine the mechanical operation parameters that affect the turbidity change of the sewage in the historical mechanical operation data; constructing a turbidity change prediction model based on the mechanical operation parameters and a preset neural network model, and predicting to obtain turbidity change prediction data; obtaining turbidity change requirements, and analyzing the difference characteristics between the turbidity change prediction data and the turbidity change prediction data; evaluating the sewage treatment performance of the clarifier based on the difference characteristics to obtain a sewage treatment performance evaluation value; determining the adjustment coefficient based on the sewage treatment performance evaluation value, and adjusting and controlling the real-time mechanical operation parameters. The present invention can realize the monitoring, prediction and adjustment control of the sewage treatment of the clarifier, improve the efficiency of sewage treatment, and reduce the operating cost and energy consumption at the same time.

[0073] Finally, it should be noted that: Obviously, a person skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, the present invention is also intended to include these modifications and variations.

[0074] The above is only an example of implementation of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the scope of protection of the present invention and being restricted. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0075] The term "comprises" or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that includes a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0076] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it is easy for a person skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, a person 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 fall within the protection scope of the present invention.

[0077] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A clarifier sewage treatment control method based on mechanical acceleration, characterized in that: include: Obtain the historical mechanical operation data of the clarifier and the turbidity change data of the corresponding sewage, and pre-process the historical mechanical operation data and turbidity change data; Analyze the historical mechanical operation data and turbidity change data after pretreatment to determine the mechanical operation parameters that affect the turbidity change of sewage in the historical mechanical operation data; A sewage turbidity change prediction model is constructed based on the mechanical operation parameters and the preset neural network model, and the real-time mechanical operation parameters of the clarifier are obtained, and the sewage turbidity change prediction data is predicted according to the turbidity change prediction model; Obtain turbidity change requirements, and analyze the difference characteristics between the turbidity change prediction data of sewage and the turbidity change requirements; Analyze and evaluate the sewage treatment performance of the clarifier according to the difference characteristics, and obtain the sewage treatment performance evaluation value of the clarifier; The adjustment coefficient is determined according to the sewage treatment performance evaluation value of the clarifier, and the real-time mechanical operation parameters of the clarifier are adjusted and controlled according to the adjustment coefficient.

2. A method for controlling sewage treatment in a clarifier based on mechanical acceleration according to claim 1, characterized in that: The preprocessing of the historical mechanical operation data and turbidity change data includes: The historical mechanical operation data and turbidity change data are preprocessed, which includes removing erroneous data points and duplicate data points, filling in missing data points, and standardizing the data.

3. A method for controlling sewage treatment in a clarifier based on mechanical acceleration according to claim 2, characterized in that: The analysis of the historical mechanical operation data and turbidity change data after pretreatment to determine the mechanical operation parameters in the historical mechanical operation data that affect the turbidity change of the sewage includes: The pre-processed historical mechanical operation data are divided into several mechanical operation parameter data groups according to parameter types, and the correlation coefficient between each mechanical operation parameter data group and the turbidity change data is calculated respectively; Several correlation coefficients between the mechanical operation parameter data set and the turbidity change data are sorted in descending order, and the mechanical operation parameter data in the first three of the sequence are determined as the mechanical operation parameters in the historical mechanical operation data that affect the turbidity change of the sewage.

4. A method for controlling sewage treatment in a clarifier based on mechanical acceleration according to claim 3, characterized in that: The method of constructing a sewage turbidity change prediction model based on the mechanical operation parameters and the preset neural network model, obtaining the real-time mechanical operation parameters of the clarifier, and predicting the sewage turbidity change prediction data according to the turbidity change prediction model includes: A data set is constructed based on the mechanical operating parameters and the turbidity change data corresponding to the mechanical operating parameters, and the data set is input into a preset neural network model to construct an initial model for predicting turbidity changes in sewage; The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the initial model for predicting the turbidity change of sewage; The initial model for predicting the turbidity change of sewage is trained and tested until the initial model for predicting the turbidity change of sewage meets a preset convergence condition, thereby obtaining a model for predicting the turbidity change of sewage; The real-time mechanical operating parameters of the clarifier are obtained, and the real-time mechanical operating parameters are input into the sewage turbidity change prediction model for prediction, so as to obtain the turbidity change prediction data of the sewage in the clarifier.

5. A method for controlling sewage treatment in a clarifier based on mechanical acceleration according to claim 4, characterized in that: The obtaining of turbidity change requirements and analyzing the difference characteristics between the sewage turbidity change prediction data and the turbidity change requirements include: obtaining a turbidity change requirement, and extracting a turbidity change requirement value from the turbidity change requirement; Subtract each data in the sewage turbidity change prediction data from the turbidity change requirement value to obtain the sewage turbidity change deviation data; The turbidity change deviation data of the sewage is plotted into a turbidity change deviation curve, and the turbidity change deviation curve is divided into a plurality of curve segments according to a preset sliding time window; Calculate the average value of the turbidity change deviation curve and each curve segment respectively, and select the curve segment whose average value exceeds the average value of the turbidity change deviation curve as the candidate curve segment; The maximum slope value and the minimum slope value at a certain point in each candidate curve segment are calculated respectively, and the maximum slope value and the minimum slope value corresponding to each candidate curve segment are used as the difference characteristics between the turbidity change prediction data of the sewage and the turbidity change requirements.

6. A method for controlling sewage treatment in a clarifier based on mechanical acceleration according to claim 5, characterized in that: The sewage treatment performance of the clarifier is analyzed and evaluated according to the difference characteristics to obtain the sewage treatment performance evaluation value of the clarifier, including: Obtain the maximum slope value and the minimum slope value corresponding to each candidate curve segment, and pre-set the standard efficiency value; Calculate the difference between the maximum slope value and the minimum slope value to obtain a first difference, and respectively calculate the absolute value of the difference between the maximum slope value and the minimum slope value and the standard efficiency value to obtain a second difference and a third difference; Calculate the ratios of the second difference and the third difference to the first difference respectively to obtain the first ratio and the second ratio, and evaluate the first ratio and the second ratio respectively to obtain evaluation values ​​corresponding to the first ratio and the second ratio; The evaluation value corresponding to the first ratio and the second ratio of each curve segment is calculated by weighted addition with the preset weights to obtain the evaluation value of each curve segment; The evaluation values ​​of each curve segment are added together to obtain the sewage treatment performance evaluation value of the clarifier.

7. A method for controlling sewage treatment in a clarifier based on mechanical acceleration according to claim 7, characterized in that: The method of determining the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjusting and controlling the real-time mechanical operation parameters of the clarifier according to the adjustment coefficient, includes: The corresponding relationship between the adjustment coefficient and the sewage treatment performance evaluation value interval is preset, and the corresponding relationship between the adjustment coefficient and the sewage treatment performance evaluation value interval is associated with a corresponding adjustment coefficient for each sewage treatment performance evaluation value interval; Obtaining the sewage treatment performance evaluation value, and based on the mapping relationship between the sewage treatment performance evaluation value interval to which the difference belongs and the adjustment coefficient-sewage treatment performance evaluation value interval correspondence relationship, selecting the adjustment coefficient corresponding to the sewage treatment performance evaluation value interval; Each parameter of the real-time mechanical operation parameter of the clarifier is multiplied according to the adjustment coefficient to complete the adjustment control of the real-time mechanical operation parameter of the clarifier.

8. A clarifier sewage treatment control system based on mechanical acceleration, characterized in that: include: An acquisition module is used to acquire the historical mechanical operation data of the clarifier and the turbidity change data of the corresponding sewage, and to pre-process the historical mechanical operation data and the turbidity change data; A determination module is used to analyze the historical mechanical operation data and turbidity change data after pretreatment, and determine the mechanical operation parameters that affect the turbidity change of the sewage in the historical mechanical operation data; A prediction module is used to construct a sewage turbidity change prediction model based on mechanical operation parameters and a preset neural network model, obtain real-time mechanical operation parameters of the clarifier, and predict sewage turbidity change prediction data according to the turbidity change prediction model; An analysis module, used for obtaining turbidity change requirements and analyzing difference characteristics between turbidity change prediction data of sewage and turbidity change requirements; An evaluation module is used to analyze and evaluate the sewage treatment performance of the clarifier according to the difference characteristics, and obtain an evaluation value of the sewage treatment performance of the clarifier; The control module is used to determine the adjustment coefficient according to the sewage treatment performance evaluation value of the clarifier, and adjust and control the real-time mechanical operation parameters of the clarifier according to the adjustment coefficient.

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