Aeration control method based on a biological aerated filter

Abstract

The application discloses an aeration regulation method based on an aeration biological filter, relates to the technical field of aeration biological filter regulation, and mainly has the following scheme: dissolved oxygen concentrations obtained continuously and multiple times at different monitoring heights are analyzed to obtain reference dissolved oxygen concentrations corresponding to the different monitoring heights in the filter material layer; a dissolved oxygen concentration change curve is drawn according to the reference dissolved oxygen concentrations corresponding to the different monitoring heights in the filter material layer; when the dissolved oxygen concentration change curve is determined as a non-smooth transition curve, the non-smooth transition curve is analyzed layer by layer to determine the oxygen consumption state of the filter material layer, and the air flow of aeration equipment at different levels is adjusted according to the oxygen consumption state of the filter material layer; the aeration amount is increased step by step, excessive adjustment is avoided at one time, stable operation of the system is ensured, and after two rounds of adjustment, if the problem is not solved, a fault signal is automatically generated, work personnel are reminded to check the equipment, and long-term stable operation of the filter is ensured.

Description

Technical Field

[0001] This invention belongs to the field of aerated biological filter control technology, specifically an aeration control method based on aerated biological filters. Background Technology

[0002] Aerated biological filters, commonly used biochemical devices in urban sewage and industrial wastewater treatment, offer advantages such as compact structure, low energy consumption, and high treatment efficiency. Aeration refers to the artificial introduction of air into the aeration tank through appropriate equipment to achieve the desired effect. Aeration not only brings oxygen into the tank by contacting the liquid with air, but also accelerates the transfer of oxygen from the air to the liquid due to liquid agitation, thus achieving the purpose of oxygenation. In addition, aeration also prevents suspended matter from settling and enhances the contact between organic matter and microorganisms with dissolved oxygen, thereby ensuring that microorganisms in the tank can oxidize and decompose organic matter in sewage under conditions of sufficient dissolved oxygen. In actual operation, the distribution of dissolved oxygen in the filter media directly affects the metabolic intensity and distribution structure of microorganisms, thus determining the treatment efficiency and stability of the entire filter system. In existing technologies, the complex and variable water flow conditions and uneven distribution of microorganisms within the filter media layer lead to significant differences in dissolved oxygen consumption rates at different depths. Aeration systems employing fixed aeration volumes or coarsely partitioned oxygen supply methods lack dynamic response analysis to changes in oxygen demand at different depths within the filter media layer. This can easily result in excessively high or low dissolved oxygen concentrations in localized areas. In the upper layers, excessive oxygen supply can occur due to influent impact or airflow interference, leading to energy waste and even inhibiting the growth of certain facultative / anaerobic microorganisms. Conversely, in the lower layers, insufficient oxygen can create oxygen-deficient dead zones, causing decreased treatment efficiency and even sludge bulking. Furthermore, when oxygen consumption rates differ significantly at different depths, relying solely on analyzing the total influent volume or the overall average dissolved oxygen level often fails to accurately identify the oxygen consumption status, resulting in delayed or even erroneous control responses. Therefore, an aeration control method based on an aerated biological filter is proposed. Summary of the Invention

[0003] The purpose of this invention is to provide an aeration control method based on an aerated biological filter to solve the problems mentioned in the background art.

[0004] An aeration control method based on an aerated biological filter includes: Step 1: Continuously acquire and record the dissolved oxygen concentration at different monitoring heights within the filter media layer multiple times; Step 2: Analyze the dissolved oxygen concentrations obtained from multiple consecutive monitoring heights at different heights to obtain the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer; Step 3: Plot the dissolved oxygen concentration change curves based on the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer. Analyze the dissolved oxygen concentration change curves and determine whether they are smooth transition curves or non-smooth transition curves based on the analysis results. Step 4: When the dissolved oxygen concentration change curve is determined to be a non-smooth transition curve, the filter media layer is stratified to obtain different layers. The oxygen consumption status of the filter media layer is determined by stratification analysis of the non-smooth transition curve. Oxygen consumption status includes excessively rapid oxygen consumption at the front end, excessively rapid oxygen consumption at the back end, and uneven oxygen consumption. Step 5: Adjust the air flow rate of the aeration equipment at different levels according to the oxygen consumption status of the filter media layer.

[0005] As a further aspect of the present invention, the specific method for obtaining the baseline dissolved oxygen concentration at different monitoring heights within the filter media layer is as follows: For a single monitoring height, the average dissolved oxygen concentration obtained from multiple consecutive measurements is calculated. The number e of each dissolved oxygen concentration that satisfies the condition that the absolute value between the average and the mean is less than a preset threshold Y1 is recorded. The number e is then compared with the preset threshold Y2 to obtain the baseline dissolved oxygen concentration R1 corresponding to this monitoring height. The same method is used to analyze the remaining monitoring heights to obtain the baseline dissolved oxygen concentration Rj corresponding to different monitoring heights, where j represents different monitoring heights and is used as the height number corresponding to each monitoring height, j=1, 2, ..., c, where c represents the total number of monitoring heights, and c is a positive integer greater than or equal to 3 and takes values ​​that are multiples of 3.

[0006] As a further aspect of the present invention: the specific method for obtaining the baseline dissolved oxygen concentration R1 corresponding to this monitoring height by comparing and analyzing the numerical quantity e with the preset threshold Y2 is as follows: When the number of values ​​e is greater than the preset threshold Y2, the average value of the dissolved oxygen concentration obtained from multiple consecutive monitoring heights is defined as the baseline dissolved oxygen concentration R1 at a single monitoring height; when the number of values ​​e is less than or equal to the preset threshold Y2, the average value of the maximum and minimum values ​​of the dissolved oxygen concentration obtained from multiple consecutive monitoring heights is defined as the baseline dissolved oxygen concentration R1 at a single monitoring height.

[0007] As a further aspect of the present invention: the specific method for plotting dissolved oxygen concentration variation curves based on the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer is as follows: Using different monitoring heights j as the abscissa and the corresponding baseline dissolved oxygen concentration Rj at different monitoring heights as the ordinate, the data points Fj(j, Rj) corresponding to the baseline dissolved oxygen concentration at different monitoring heights are obtained. The data points are then connected sequentially to obtain the dissolved oxygen concentration change curve.

[0008] As a further aspect of the present invention, the specific method for determining whether the dissolved oxygen concentration change curve is a smooth transition curve or a non-smooth transition curve is as follows: The line connecting each two adjacent data points on the dissolved oxygen concentration change curve is marked as a stage transition line. Based on the coordinates of the two data points that make up each stage transition line, the slope Kq corresponding to each stage transition line is obtained. The absolute value Bf of the difference between the slopes Kq corresponding to each two adjacent stage transition lines on the dissolved oxygen concentration change curve is obtained. The number n of values ​​greater than the threshold Y3 among the multiple absolute values ​​Bf is obtained. When the ratio between the number n and (a-1) is greater than 2 / 5, the dissolved oxygen concentration change curve is determined to be a non-smooth transition curve; otherwise, it is determined to be a smooth transition curve. q represents different stage transition lines, q = 1, 2, ..., a, where a represents the total number of stage transition lines, a is a positive integer, and a is equal to the total number of monitoring heights c minus 1.

[0009] As a further aspect of the present invention: the specific method for obtaining different layers of the filter media by performing a layering process is as follows: The filter media layer is divided into three layers from top to bottom at multiple monitoring heights, thus obtaining different layers of the filter media layer. The three different layers are labeled as upper, middle and lower layers from top to bottom.

[0010] As a further aspect of the present invention: when the dissolved oxygen concentration change curve is determined to be a non-smooth transition curve, the specific method for determining the oxygen consumption state of the filter layer is as follows: The mean slope of the multiple stage transformation lines corresponding to the three different layers is obtained, and then the average slope V corresponding to the three different layers is obtained. 上 V 中 and V 下 When V 上 >V 中 And V 上 >V 下 When V is high, the oxygen consumption state of the filter media is determined to be that the oxygen consumption at the front end is too fast; when V 下 >V 上 And V 下 >V 中 When V is high, the oxygen consumption state of the filter media is determined to be that the downstream oxygen consumption is too fast; when V 上 =V 中 =V 下 If the oxygen consumption of the filter media layer is balanced, then the oxygen consumption status of the filter media layer is determined to be balanced; otherwise, the oxygen consumption status of the filter media layer is determined to be unbalanced.

[0011] As a further aspect of the present invention: the specific method for adjusting the airflow of aeration equipment at different levels according to the oxygen consumption state of the filter media layer is as follows: When the oxygen consumption status of the filter media layer is determined to be that the oxygen consumption at the front end is too fast, the air flow rate is increased by 20% to 50% through the upper aeration equipment. When the oxygen consumption status of the filter media layer is determined to be that the oxygen consumption at the rear end is too fast, the air flow rate is increased by 20% to 50% through the lower aeration equipment. When the oxygen consumption status of the filter media layer is determined to be that the oxygen consumption is uneven, the air flow rate is increased by 20% to 50% through the middle aeration equipment.

[0012] As a further aspect of the present invention: the specific methods for increasing the air flow rate by 20% to 50% through the aeration equipment are as follows: initially increase the air flow rate by 20% through the aeration equipment; after the air flow rate has increased for a preset time T, re-acquire and analyze the average value of the slope of the multiple stage transformation lines corresponding to the three different layers; if the oxygen consumption state of the filter layer is determined to be oxygen consumption equilibrium, no processing is performed; if the oxygen consumption state of the filter layer is not determined to be oxygen consumption equilibrium, then further increase the air flow rate by 50% through the aeration equipment. After the aeration equipment increases the air flow rate by 50% and passes for a preset time T, the average slope of the transformation lines corresponding to multiple stages in the three different layers is re-acquired and analyzed. If the oxygen consumption status of the filter layer is determined to be oxygen-balanced, no processing is performed. If the oxygen consumption status of the filter layer is not determined to be oxygen-balanced, a fault signal is generated and sent to the display terminal.

[0013] Compared with the prior art, the beneficial effects of the present invention are: (1) In this invention, a curve is plotted with the monitoring height as the abscissa and the baseline dissolved oxygen concentration as the ordinate, and the points are connected to form a dissolved oxygen concentration change curve. By calculating the slope of the line connecting adjacent monitoring heights and the absolute value of the difference, the smoothness of the curve is analyzed. If the proportion of the absolute value of the difference between adjacent slopes exceeding the threshold Y3 exceeds 2 / 5, it is determined to be a non-smooth transition curve; otherwise, it is a smooth transition curve. The complex spatial distribution is transformed into an intuitive curve feature, and the abnormal oxygen consumption area is quantitatively identified by the proportion of the slope difference. (2) In this invention, the filter media layer is evenly divided into three layers of upper, middle and lower according to height; the average value of all adjacent slopes in each layer is calculated; the oxygen consumption status is judged by comparing the average values ​​of the three layers, the global oxygen consumption problem is decomposed into layered local anomalies, the problem area is accurately located, and the oxygen consumption status of different areas of the filter can be accurately identified through layered analysis. (3) In this invention, the air flow rate of the aeration equipment at different levels is adjusted according to the oxygen consumption status of the filter media layer. The air flow rate is initially increased by 20%. After observing for 15 minutes, the oxygen consumption status of the filter media layer is re-evaluated. When the oxygen consumption status of the filter media layer is determined to be balanced, no further treatment is required. When the oxygen consumption status of the filter media layer is not determined to be balanced, it is further adjusted to 50% to ensure oxygen supply balance. The air flow rate of the aeration equipment is adjusted. By increasing the aeration volume step by step, excessive adjustment at one time is avoided, ensuring stable operation of the system and providing a dynamic feedback mechanism to ensure that the oxygen demand of each level is effectively met, avoiding excessive oxygen supply and energy waste. After two rounds of adjustment, if the problem is not resolved, the system automatically generates a fault signal to remind the staff to check the equipment and ensure the long-term stable operation of the filter. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the system framework structure of the present invention. Detailed Implementation

[0015] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Example 1: Please refer to Figure 1 This application provides an aeration control method based on an aerated biological filter, comprising the following steps: Step 1: Set up multiple monitoring heights in the filter media layer of the aerated biological filter, and install sensors at each monitoring height in the filter media layer to continuously acquire and record the dissolved oxygen concentration at each monitoring height. Multiple monitoring heights are set within the filter media layer, with sensors installed at each height to continuously collect and record dissolved oxygen concentration data. This multi-point, multi-time-series monitoring covers the entire height range of the filter media layer from the inlet to the outlet, capturing the spatial heterogeneity of dissolved oxygen distribution. This overcomes the limitations of traditional single-point or limited-point monitoring, obtaining a global data foundation reflecting the true oxygen demand of the filter media layer. Continuous multiple acquisitions reduce the random errors of single measurements, providing reliable samples for subsequent calibration of representative benchmark concentrations.

[0017] Step 2: Analyze the dissolved oxygen concentrations obtained from multiple consecutive monitoring heights at different heights to obtain the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer; First, the dissolved oxygen concentrations obtained from multiple consecutive measurements at a single monitoring height are analyzed to obtain the average of multiple dissolved oxygen concentrations. The number of values ​​e in which the absolute value between each dissolved oxygen concentration and its average is less than the preset threshold Y1 is recorded. That is, by |D1i-D1p|<Y1, the number of values ​​e in which the absolute value between each dissolved oxygen concentration and its average is less than the preset threshold Y1 is obtained. Here, i refers to different consecutive measurements, i=1, 2, ..., b, b refers to the total number of dissolved oxygen concentration values ​​D1i, and D1p is the average of the dissolved oxygen concentrations obtained from multiple consecutive measurements at a single monitoring height. The numerical quantity e is compared with the preset threshold Y2. When the numerical quantity e is greater than the preset threshold Y2, it means that there are many values ​​in the dissolved oxygen concentration D1i obtained from multiple consecutive measurements at a single monitoring height that satisfy the condition |D1i-D1p| < Y1. The mean value D1p of D1i is representative. Therefore, the mean value D1p of D1i is defined as the baseline dissolved oxygen concentration R1 corresponding to a single monitoring height. When the numerical quantity e is less than or equal to the preset threshold Y2, there are few values ​​in the dissolved oxygen concentration D1i obtained from multiple consecutive measurements at a single monitoring height that satisfy the condition |D1i-D1p| < Y1. The mean value D1p of D1i is not representative. Therefore, the mean value of the maximum and minimum values ​​in D1i is defined as the baseline dissolved oxygen concentration R1 corresponding to a single monitoring height, i.e., R1 = (D1min + D1max) / 2, where D1max and D1min are the maximum and minimum values ​​in D1i, respectively. The preset thresholds Y1 and Y2 are both preset values, and the specific values ​​of Y1 and Y2 are determined by relevant personnel according to actual needs. The dissolved oxygen concentrations obtained at various monitoring heights were analyzed repeatedly in the same manner to obtain the baseline dissolved oxygen concentrations Rj corresponding to different monitoring heights. Here, j represents different monitoring heights and is used as the height number corresponding to each monitoring height. j = 1, 2, ..., c, where c represents the total number of monitoring heights. c is a positive integer that is greater than or equal to 3 and takes a value that is a multiple of 3. By statistically analyzing multiple dissolved oxygen concentration data at each monitoring altitude, the mean was first calculated. Then, the number of data points (e) whose absolute difference from the mean was less than a preset threshold Y1 was counted. If e exceeded the threshold Y2, it indicated that most data were stable and the mean was highly representative; in this case, the mean was directly used as the baseline dissolved oxygen concentration for that altitude. If e did not exceed the threshold Y2, it indicated that the data fluctuated greatly and the mean was unreliable; in this case, the average of the maximum and minimum values ​​at that altitude was taken as the baseline dissolved oxygen concentration. Finally, the baseline concentrations for all monitoring altitudes were obtained. To address the potential for outlier interference when directly using the mean, stability screening was performed to ensure that the baseline concentration at each altitude accurately reflected the normal oxygen demand of the area. The baseline concentration serves as a reference for subsequent analysis, providing a quantitative basis for judging local oxygen consumption anomalies.

[0018] Step 3: Plot the dissolved oxygen concentration change curves based on the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer. Analyze the dissolved oxygen concentration change curves and determine whether they are smooth transition curves or non-smooth transition curves based on the analysis results. Using different monitoring heights j as the abscissa and the corresponding baseline dissolved oxygen concentration Rj at different monitoring heights as the ordinate, the data points Fj(j, Rj) corresponding to the baseline dissolved oxygen concentration at different monitoring heights are obtained. The data points are connected sequentially to obtain the dissolved oxygen concentration change curve. The line connecting each two adjacent data points on the dissolved oxygen concentration change curve is marked as a stage transformation line. The slope Kq corresponding to each stage transformation line is obtained according to the coordinates of the two data points that make up each stage transformation line, where q is a different stage transformation line, q=1, 2, ..., a, where a represents the total number of stage transformation lines, a is a positive integer and a is equal to the total number of monitoring heights c minus 1, i.e. a=c-1; The specific method for obtaining the slope Kq corresponding to each stage of the transformation line is as follows: The ratio of the absolute value of the difference between the ordinate of the next data point and the ordinate of the previous data point on each stage transformation line to the absolute value of the difference between its corresponding abscissa, i.e., the monitoring height, is taken as the slope Kq of each stage transformation line. It should be noted that the first endpoint of the stage transformation line refers to the data point closer to the origin among the two data points that make up the stage transformation line, while the second endpoint refers to the data point located at the right endpoint of the stage transformation line. Obtain the absolute value Bf of the difference between the slopes Kq of each two adjacent stage transition lines on the dissolved oxygen concentration change curve. Obtain the number n of the values ​​n greater than the threshold Y3 among the multiple absolute values ​​Bf. When the ratio between the number of values ​​n and (a-1) is greater than 2 / 5, the dissolved oxygen concentration change curve is determined to be a non-smooth transition curve. Otherwise, the dissolved oxygen concentration change curve is determined to be a smooth transition curve. The threshold Y3 is the average of the sum of the maximum and minimum values ​​among the multiple absolute values ​​Bf. f refers to different absolute values ​​of difference. The number of absolute values ​​of difference is the total number of stage transition lines a-1. When the proportion of adjacent slope differences exceeding the threshold Y3 exceeds 2 / 5, it indicates that the curve changes drastically and fluctuates greatly, failing to transition smoothly, and is therefore classified as a non-smooth transition curve. This usually means that the change in oxygen supply or demand is too abrupt, possibly due to some fault or abnormal situation. If the proportion of adjacent slope differences exceeding the threshold Y3 is less than or equal to 2 / 5, it indicates that the curve changes relatively smoothly, and the changes in oxygen supply and demand are relatively uniform, and is therefore classified as a smooth transition curve. This usually means that the oxygen distribution in the filter is relatively balanced, the system is operating relatively stably, and it is possible to accurately determine whether the dissolved oxygen concentration change curve transitions smoothly, which is helpful in determining whether the filter system is in normal operating condition.

[0019] A curve is plotted with monitoring height on the x-axis and baseline dissolved oxygen concentration on the y-axis, connecting the points to form a dissolved oxygen concentration variation curve. The smoothness of the curve is analyzed by calculating the slope of the line connecting adjacent monitoring heights and the absolute value of the difference. If the proportion of adjacent slope differences exceeding a threshold Y3 exceeds 2 / 5, it is determined to be a non-smooth transition curve; otherwise, it is a smooth transition curve. This transforms the complex spatial distribution into intuitive curve features, quantitatively identifying areas of abnormal oxygen consumption through the proportion of slope differences. For example, a sharp increase in slope at the beginning of the curve indicates excessive oxygen consumption in the upper layers, while a sharp drop in slope at the end indicates excessive oxygen supply in the lower layers. Compared to traditional methods relying on human experience, this method achieves objective and standardized diagnosis of local oxygen imbalance, avoiding subjective misjudgments.

[0020] Example 2: As Example 2 of the present invention, in specific implementation, compared with Example 1, the technical solution of this example differs from that of Example 1 only in that, in this example, step four: when the dissolved oxygen concentration change curve is determined to be a non-smooth transition curve, the filter layer is subjected to stratification to obtain different layers corresponding to the filter layer. Based on the different layers corresponding to the filter layer, the non-smooth transition curve is subjected to corresponding stratification analysis to determine the oxygen consumption state of the filter layer. The oxygen consumption state includes excessively fast oxygen consumption at the front end, excessively fast oxygen consumption at the back end, and uneven oxygen consumption. The filter media layer is divided into three layers from top to bottom at multiple monitoring heights, thus obtaining different layers of the filter media layer. The three different layers are labeled as upper, middle and lower layers from top to bottom. The upper layer is the monitoring area closest to the water inlet, the middle layer is the transition area, and the lower layer is the area close to the water outlet. Since the total number of monitoring heights is greater than or equal to 3 and is a multiple of 3, the monitoring heights covered by the three different layers are all complete monitoring height ranges, and each layer covers c / 3 complete monitoring height ranges. For example, assuming the height of the monitoring point is c=9, the filter media layer can be divided into three regions, and each region contains three complete monitoring height ranges. The mean slope of the multiple stage transformation lines corresponding to the three different layers is obtained, and then the average slope V corresponding to the three different layers is obtained.上 V 中 and V 下 V 上 V 中 and V 下 These represent the average slopes corresponding to the upper, middle, and lower layers, respectively. When V 上 >V 中 And V 上 >V 下 When V is high, the oxygen consumption state of the filter media is determined to be that the oxygen consumption at the front end is too fast; when V 下 >V 上 And V 下 >V 中 When V is high, the oxygen consumption state of the filter media is determined to be that the downstream oxygen consumption is too fast; when V 上 =V 中 =V 下 When the oxygen consumption of the filter media layer is balanced, the oxygen consumption of the filter media layer is determined to be balanced; otherwise, the oxygen consumption of the filter media layer is determined to be unbalanced. By dividing the filter media layer into three uniform layers (upper, middle, and lower) according to height, and calculating the average slope of all adjacent slopes in each layer, the oxygen consumption status is determined by comparing the average values ​​of the three layers. This decomposes the global oxygen consumption problem into stratified local anomalies, accurately locating the problem area. Compared with the traditional overall control mode, this stratified analysis can accurately identify the oxygen consumption status of different areas of the filter bed and make targeted adjustments according to the needs of different layers. It can accurately identify the problem of uneven oxygen consumption in the filter media layer and make timely adjustments to the upper or lower layer to avoid situations of excess or deficiency of oxygen.

[0021] Step 5: Adjust the airflow rate of the aeration equipment at different levels according to the oxygen consumption status of the filter media layer. Initially increase the airflow rate by 20%, observe for 15 minutes, and then reassess the oxygen consumption status of the filter media layer. If the oxygen consumption status of the filter media layer is determined to be balanced, no further action is taken. If the oxygen consumption status of the filter media layer is not determined to be balanced, further adjust to 50% to ensure oxygen supply balance, and adjust the airflow rate of the aeration equipment accordingly. When the oxygen consumption status of the filter media layer is determined to be too fast at the front end, the air flow rate is increased by 20% to 50% through the upper aeration equipment to enhance the aeration intensity of the upper layer and improve the oxygen supply capacity of the upper layer, so as to meet the needs of the rapid oxygen consumption of the upper layer and ensure that more oxygen can be supplied to the upper layer.

[0022] When the oxygen consumption status of the filter media layer is determined to be that the oxygen consumption at the downstream end is too fast, the air flow rate is increased by 20% to 50% through the lower aeration equipment to enhance the aeration intensity of the lower layer and improve the oxygen supply capacity of the lower layer to meet the demand of rapid oxygen consumption in the lower layer. When the oxygen consumption status of the filter media layer is determined to be uneven, that is, neither the front end nor the back end of the filter media layer consumes oxygen too fast, the air flow rate is increased by 20% to 50% by the middle layer aeration equipment to enhance the aeration intensity of the middle layer, improve the oxygen supply capacity of the middle layer, and ensure that the oxygen in the middle layer can be evenly distributed in each layer, so that the oxygen supply is balanced between different layers. The specific methods for increasing the airflow by 20% to 50% using aeration equipment are as follows: First, increase the airflow by 20% using aeration equipment. After the airflow has increased for a preset time T, re-acquire and analyze the average slope of the multiple stage transformation lines corresponding to the three different layers. If the oxygen consumption status of the filter layer is determined to be oxygen-balanced, no further processing is required. If the oxygen consumption status of the filter layer is not determined to be oxygen-balanced, then further increase the airflow by 50% using aeration equipment. The preset time T is 15 minutes to avoid excessive adjustment at one time, which could lead to system instability or energy waste. When the aeration equipment increases the airflow by 50% and after a preset time T, the average slope of the transformation lines corresponding to multiple stages in the three different layers is re-acquired and analyzed. If the oxygen consumption state of the filter media layer is determined to be oxygen-balanced, no action is taken. If the oxygen consumption state of the filter media layer is not determined to be oxygen-balanced, a fault signal is generated and sent to the display terminal to remind relevant personnel to perform corresponding inspection operations. If the system still does not reach the target state after two rounds of airflow adjustment, issuing a fault signal is essential. This can remind personnel to further inspect the equipment or system, avoid prolonged system abnormalities, and facilitate personnel to take appropriate countermeasures according to different situations. The airflow rate of the aeration equipment at different levels is adjusted according to the oxygen consumption status of the filter media layer. Initially, the airflow rate is increased by 20%. After observing for 15 minutes, the oxygen consumption status of the filter media layer is reassessed. If the oxygen consumption status of the filter media layer is determined to be balanced, no further action is taken. If the oxygen consumption status of the filter media layer is not determined to be balanced, the airflow rate is further adjusted to 50% to ensure oxygen supply balance. The airflow rate of the aeration equipment is adjusted step by step to avoid excessive adjustment at one time, ensuring stable system operation and providing a dynamic feedback mechanism to ensure that the oxygen demand of each level is effectively met, avoiding excessive oxygen supply and energy waste. If the problem is not resolved after two rounds of adjustment, the system automatically generates a fault signal to remind the staff to check the equipment, ensuring the long-term stable operation of the filter.

[0023] By monitoring dissolved oxygen concentrations at different heights within the aerated biological filter in real time, and dynamically adjusting the aeration airflow at different levels based on the oxygen consumption status of the filter media, the following steps are taken: First, multiple sensors are installed at different heights of the filter media to collect dissolved oxygen concentration data in real time. The data is analyzed to calculate the average value at each monitoring point, and the stability of the data is determined by comparing it with a preset threshold. If the data is stable and the average value is representative, the average value is used as the baseline dissolved oxygen concentration for that height; otherwise, the average of the maximum and minimum values ​​at that height is used as the baseline concentration. Then, the oxygen distribution is analyzed based on the curve and slope of the dissolved oxygen concentration variation to determine if the oxygen distribution is balanced. Based on the oxygen consumption status of different areas of the filter media, the airflow of the aeration equipment at different levels is adjusted to meet the oxygen demand of each area, ensuring a balanced overall oxygen supply. By dynamically adjusting the airflow of the aeration equipment based on the oxygen consumption status of the filter media layer, the oxygen supply is precisely matched to the needs of each layer, avoiding localized issues of excessive or insufficient oxygen, thereby optimizing the system's treatment efficiency. Unlike traditional fixed aeration methods, this solution uses real-time monitoring and data analysis to precisely adjust the oxygen supply, improving the system's flexibility and responsiveness. Gradual adjustment of the airflow, rather than a one-time large increase, reduces system instability and energy waste. Furthermore, when the system fails to automatically adjust to the ideal state, it automatically generates a fault signal to remind staff to conduct timely inspections and maintenance, ensuring the long-term stable operation of the filter system and achieving efficient and sustainable treatment results.

[0024] Example 3: As Example 3 of the present invention, in specific implementation, compared with Example 1 and Example 2, the technical solution of this example is to combine the solutions of Example 1 and Example 2.

[0025] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0026] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for aeration control based on an aerated biological filter, characterized in that, include: Step 1: Continuously acquire and record the dissolved oxygen concentration at different monitoring heights within the filter media layer multiple times; Step 2: Analyze the dissolved oxygen concentrations obtained from multiple consecutive monitoring heights at different heights to obtain the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer; Step 3: Plot the dissolved oxygen concentration change curves based on the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer. Analyze the dissolved oxygen concentration change curves and determine whether they are smooth transition curves or non-smooth transition curves based on the analysis results. Step 4: When the dissolved oxygen concentration change curve is determined to be a non-smooth transition curve, the filter media layer is stratified to obtain different layers. The oxygen consumption status of the filter media layer is determined by stratification analysis of the non-smooth transition curve. Oxygen consumption status includes excessively rapid oxygen consumption at the front end, excessively rapid oxygen consumption at the back end, and uneven oxygen consumption. Step 5: Adjust the air flow rate of the aeration equipment at different levels according to the oxygen consumption status of the filter media layer.

2. The aeration control method based on an aerated biological filter according to claim 1, characterized in that, The specific method for plotting dissolved oxygen concentration variation curves based on the baseline dissolved oxygen concentrations at different monitoring heights within the filter media layer is as follows: Using different monitoring heights j as the abscissa and the corresponding baseline dissolved oxygen concentration Rj at different monitoring heights as the ordinate, the data points Fj(j, Rj) corresponding to the baseline dissolved oxygen concentration at different monitoring heights are obtained. The data points are then connected sequentially to obtain the dissolved oxygen concentration change curve.

3. The aeration control method based on an aerated biological filter according to claim 2, characterized in that, The specific method for obtaining different layers of the filter media by performing a layering process is as follows: The filter media layer is divided into three layers from top to bottom at multiple monitoring heights, thus obtaining different layers of the filter media layer. The three different layers are labeled as upper, middle and lower layers from top to bottom.

4. The aeration control method based on an aerated biological filter according to claim 3, characterized in that, When the dissolved oxygen concentration change curve is determined to be a non-smooth transition curve, the specific method for determining the oxygen consumption state of the filter media is as follows: The mean slope of the multiple stage transformation lines corresponding to the three different layers is obtained, and then the average slope V corresponding to the three different layers is obtained. 上 V 中 and V 下 When V 上 >V 中 And V 上 >V 下 When V is high, the oxygen consumption state of the filter media is determined to be that the oxygen consumption at the front end is too fast; when V 下 >V 上 And V 下 >V 中 When V is high, the oxygen consumption state of the filter media is determined to be that the downstream oxygen consumption is too fast; when V 上 =V 中 =V 下 If the oxygen consumption of the filter media layer is balanced, then the oxygen consumption of the filter media layer is determined to be balanced; otherwise, the oxygen consumption of the filter media layer is determined to be unbalanced. The specific method for obtaining the slope of the stage change line is as follows: mark the line connecting each two adjacent data points on the dissolved oxygen concentration change curve as the stage change line, and obtain the slope corresponding to each stage change line based on the coordinates of the two data points that make up each stage change line.

5. The aeration control method based on an aerated biological filter according to claim 4, characterized in that, The specific method for adjusting the airflow of different levels of aeration equipment according to the oxygen consumption status of the filter media layer is as follows: When the oxygen consumption status of the filter media layer is determined to be that the oxygen consumption at the front end is too fast, the air flow rate is increased by 20% to 50% through the upper aeration equipment. When the oxygen consumption status of the filter media layer is determined to be that the oxygen consumption at the rear end is too fast, the air flow rate is increased by 20% to 50% through the lower aeration equipment. When the oxygen consumption status of the filter media layer is determined to be that the oxygen consumption is uneven, the air flow rate is increased by 20% to 50% through the middle aeration equipment.

6. The aeration control method based on an aerated biological filter according to claim 5, characterized in that, The specific method for increasing the airflow by 20% to 50% through aeration equipment is as follows: initially increase the airflow by 20% through aeration equipment. After the increased airflow has passed for a preset time T, re-acquire and analyze the average slope of the multiple stage transformation lines corresponding to the three different layers. If the oxygen consumption state of the filter layer is determined to be oxygen-balanced, no treatment is performed. If the oxygen consumption state of the filter layer is not determined to be oxygen-balanced, further increase the airflow by 50% through aeration equipment for T=15min.

7. The aeration control method based on an aerated biological filter according to claim 6, characterized in that, When the aeration equipment increases the air flow rate by 50% and after a preset time T, the average slope of the transformation lines corresponding to multiple stages in the three different layers is re-acquired and analyzed. If the oxygen consumption state of the filter layer is determined to be oxygen-balanced, no processing is performed. If the oxygen consumption state of the filter layer is not determined to be oxygen-balanced, a fault signal is generated and sent to the display terminal.

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