CN-122010252-A - Circulation coupling processing system that industrial park water treatment station was used

CN122010252ACN 122010252 ACN122010252 ACN 122010252ACN-122010252-A

Abstract

The invention relates to the technical field of industrial wastewater treatment, in particular to a circulating coupling treatment system for an industrial park water treatment station, which comprises a reaction monitoring module, a dominant analysis module, a feedback analysis module and a feedback adjustment module, wherein the reaction monitoring module, the dominant analysis module, the feedback analysis module and the feedback adjustment module are used for determining sliding windows of corresponding monitoring data according to change rule characteristics corresponding to each monitoring data respectively through collecting the monitoring data, constructing a ternary array as a treatment path array, calculating dominant coefficients at any moment by using change trends and amplitude levels of data points in the sliding window corresponding to the monitoring data at any moment, taking the dominant coefficients as the dominant coefficients of each treatment path in the treatment path array, carrying out weighted fusion on all the dominant coefficients in the treatment path array, thereby determining feedback coefficients at any moment, and adjusting current density by using the feedback coefficients at the current moment. The invention improves the treatment efficiency of the organic wastewater.

Inventors

GUI AIGUO
GUI WENMING

Assignees

湖南省煜城环保科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260109

Claims (10)

1. A cyclic coupling treatment system for an industrial park water treatment station, the system comprising the following modules: the reaction monitoring module is used for monitoring the wastewater treatment tank through a sensor and collecting monitoring data; The system comprises a dominant analysis module, a processing path array and a processing module, wherein the dominant analysis module is used for determining sliding windows of corresponding monitoring data according to change rule characteristics corresponding to the monitoring data respectively; The feedback analysis module is used for carrying out weighted fusion on all dominant coefficients in the processing path array so as to determine the feedback coefficient at any moment; And the feedback adjustment module is used for adjusting the current density by utilizing the feedback coefficient at the current moment.
2. The cyclic coupling processing system for industrial park water treatment station according to claim 1, wherein the method for determining the sliding window of the corresponding monitoring data according to the change rule features corresponding to the monitoring data comprises the following specific steps: performing time sequence decomposition on the monitoring data, and determining the length of a basic window according to the periodic characteristics of all the monitoring data in the time sequence decomposition result; calculating the length coefficient of the monitoring data by utilizing the data change condition of the time sequence decomposition result of any monitoring data in the length of a basic window; and adjusting the length of the basic window by using the length coefficient to obtain the final window length of the monitoring data.
3. The cyclic coupling processing system for industrial park water treatment station according to claim 2, wherein the time sequence decomposition is performed on the monitored data, and the basic window length is determined according to the cycle characteristics of all the monitored data in the time sequence decomposition result, comprising the following specific methods: And respectively carrying out decomposition processing on each monitoring data by using an STL time sequence decomposition algorithm to obtain a trend item, a season item and a residual error item of each monitoring data, carrying out curve fitting on the season item of any monitoring data by using a least square method and combining a trigonometric function, taking a curve fitting result as a season function of the corresponding monitoring data, acquiring a period value in the season function of the monitoring data as a period parameter of the monitoring data, and acquiring the reciprocal of the average period parameter of all the monitoring data as a basic window length.
4. The cyclic coupling processing system for industrial park water treatment station according to claim 2, wherein the calculating the length coefficient of the monitoring data by utilizing the data change condition of the time sequence decomposition result of any monitoring data in the length of the basic window comprises the following specific steps: The method comprises the steps of recording any monitoring data as target monitoring data, constructing a sliding window with window length as a basic window length, taking any moment in the target monitoring data as a data point on the rightmost side of the basic window, enabling the basic window to be used as the basic window of the moment, recording trend items, seasonal items and data sections of residual items of the target monitoring data in the basic window as trend sections, seasonal sections and residual sections at the moment respectively, acquiring a sequence formed by residual errors between each data point in the quaternary section of the target monitoring data and a corresponding seasonal function as a seasonal residual section, and calculating the length coefficient of the target monitoring data at the moment according to the change trend of the trend section of the target monitoring data at the moment and the data discrete conditions of the seasonal residual sections and the residual sections.
5. The cyclic coupling processing system for industrial park water treatment station according to claim 4, wherein the calculating the length coefficient of the target monitoring data at the moment according to the change trend of the trend segment of the target monitoring data at the moment and the data discrete condition of the seasonal residual segment and residual segment comprises the following specific methods: The method comprises the steps of respectively obtaining the seasonal residual error section of target monitoring data at the moment and variation coefficients of all data points in the residual error section as the seasonal variation value and the decomposition variation value of the target monitoring data at the moment, obtaining slopes corresponding to fitting straight lines of all the data points in the trend section of the target monitoring data at the moment through a least square method, taking absolute values of the slopes as trend values of the target monitoring data at the moment, and calculating length coefficients of the target monitoring data at the moment according to the seasonal variation value, the decomposition variation value and the trend values of the target monitoring data.
6. The cyclic coupling processing system for industrial park water treatment station according to claim 1, wherein the construction of the ternary array as the processing path array uses the change trend and amplitude level of the data points in the sliding window corresponding to the monitoring data at any moment to calculate the dominant coefficient at the moment as the dominant coefficient of each processing path in the processing path array, and the specific method comprises: setting an electrochemical oxidation path, an electric flocculation path and an electric flotation path, and collectively called a treatment path, and constructing a ternary array, wherein each element is a leading coefficient of a corresponding treatment path, so as to obtain the treatment path array; Respectively calculating dominant factors of an electrochemical oxidation path, an electric flocculation path and an electric flotation path at any moment by utilizing the change trend and amplitude level of data points in a sliding window of the final window length corresponding to the monitoring data at any moment; And carrying out maximum and minimum normalization on the dominant factors of all the processing paths at the moment to obtain the dominant factors of all the processing paths at the moment.
7. The recycling coupling treatment system for industrial park water treatment stations of claim 6, wherein the monitoring data comprises ORP time series data, turbidity time series data, hydrogen concentration time series data.
8. The cyclic coupling treatment system for industrial park water treatment station according to claim 7, wherein the method for calculating the dominant factors of the electrochemical oxidation path, the electric flocculation path and the electric flotation path at any moment by using the change trend and the amplitude level of the data points in the sliding window of the final window length corresponding to the monitoring data at any moment comprises the following specific steps: The method comprises the steps of taking the average slope of all data points of any monitoring data in a final window as a local slope of the final window at a corresponding moment, taking the average value of all data points of any monitoring data in the final window as a local level value of a movie lesson, taking the product of the local slope of the monitoring data at the moment and the local level value as a degree value of the corresponding moment, taking the degree value of ORP time sequence data at the moment as a leading factor of an electrochemical oxidation path, taking the degree value of turbidity time sequence data at the moment as a leading factor of an electric flocculation path and taking hydrogen concentration time sequence data as a leading factor of the electric flotation path.
9. The cyclic coupling processing system for industrial park water treatment station according to claim 1, wherein the method for determining the feedback coefficient at any time by weighting and fusing all dominant coefficients in the processing path array comprises the following specific steps: Setting path weight coefficients, carrying out weighted fusion by combining dominant coefficients of all processing paths at any moment, and calculating a cooperative demand index at the moment; Presetting adjustment parameters, and calculating feedback coefficients at the moment according to the cooperative demand indexes at the moment.
10. The cyclic coupling treatment system for industrial park water treatment station according to claim 9, wherein the specific method for setting path weight coefficients, combining dominant coefficients of all treatment paths at any moment to perform weighted fusion, and calculating the cooperative demand index at the moment comprises the following specific steps: setting a path weight coefficient of each processing path, taking the product of the path weight coefficient of any processing path and the dominant coefficient of the processing path as a cooperative parameter of the processing path at any moment, and taking the accumulated value of the cooperative parameters of all processing paths as a cooperative demand index at the moment.

Description

Circulation coupling processing system that industrial park water treatment station was used Technical Field The invention relates to the technical field of industrial wastewater treatment, in particular to a circulating coupling treatment system for an industrial park water treatment station. Background The industrial park wastewater has complex components and high toxicity, and is rich in refractory organic matters (such as phenol and dye), ammonia nitrogen and heavy metal ions. Although the traditional biological treatment technology (such as an activated sludge method) can reduce part of BOD 5 and COD, the mineralization rate of refractory pollutants is low and the refractory pollutants are easy to be impacted by water quality fluctuation, so that the effluent is difficult to reach the standard stably. Particularly under the 'double carbon' target, enterprises are in need of high-efficiency and low-carbon treatment schemes so as to realize resource recovery and zero emission. Currently, electrochemical methods are a research hot spot due to a multi-path synergistic mechanism, and the technology integrates three core processes of electrochemical oxidation, electric flocculation and electric flotation, so that the wastewater treatment efficiency is improved. However, the electrochemical process is highly sensitive to the pH value of the wastewater, the pH value in the actual wastewater can dynamically fluctuate, the existing system depends on external acid and alkali to carry out pH adjustment, so that the manual intervention is delayed, the oxidization is incomplete or flocculation is ineffective when the pH is out of control, secondary pollution such as sulfate is generated in the dosing process, the sludge disposal cost is increased, and therefore, the directional conversion regulation and control (such as partial oxidization or complete mineralization) cannot be effectively carried out, and the characteristics of different wastewater are difficult to match. These problems are remarkable in that the traditional electrochemical system has the rigidity of parameter adjustment, and the traditional electrochemical system cannot dynamically respond to water quality changes, so that the multi-path synergistic effect is restricted. Disclosure of Invention The invention provides a circulating coupling treatment system for an industrial park water treatment station, which aims to solve the existing problems. The invention relates to a circulating coupling treatment system for an industrial park water treatment station, which adopts the following technical scheme: one embodiment of the invention provides a cyclic coupling treatment system for an industrial park water treatment station, which comprises the following modules: the reaction monitoring module is used for monitoring the wastewater treatment tank through a sensor and collecting monitoring data; The system comprises a dominant analysis module, a processing path array and a processing module, wherein the dominant analysis module is used for determining sliding windows of corresponding monitoring data according to change rule characteristics corresponding to the monitoring data respectively; The feedback analysis module is used for carrying out weighted fusion on all dominant coefficients in the processing path array so as to determine the feedback coefficient at any moment; And the feedback adjustment module is used for adjusting the current density by utilizing the feedback coefficient at the current moment. Optionally, the determining the sliding window of the corresponding monitoring data according to the change rule features corresponding to each monitoring data respectively includes the following specific methods: performing time sequence decomposition on the monitoring data, and determining the length of a basic window according to the periodic characteristics of all the monitoring data in the time sequence decomposition result; calculating the length coefficient of the monitoring data by utilizing the data change condition of the time sequence decomposition result of any monitoring data in the length of a basic window; and adjusting the length of the basic window by using the length coefficient to obtain the final window length of the monitoring data. Optionally, the time sequence decomposition is performed on the monitoring data, and the length of the basic window is determined according to the cycle characteristics of all the monitoring data in the time sequence decomposition result, including the following specific methods: And respectively carrying out decomposition processing on each monitoring data by using an STL time sequence decomposition algorithm to obtain a trend item, a season item and a residual error item of each monitoring data, carrying out curve fitting on the season item of any monitoring data by using a least square method and combining a trigonometric function, taking a curve fitting result as a season function of the correspo