Quick-response accurate evaluation model for stability of wastewater biochemical system as well as construction method and application of quick-response accurate evaluation model

Abstract

The invention relates to the technical field of wastewater treatment, in particular to a method for constructing a quick-response accurate evaluation model for the stability of a wastewater biochemical system. The method comprises the following steps: acquiring an activated sludge image sample at the tail end of an aeration tank and effluent quality information of a sedimentation tank; generating microorganism composition information in the aeration tank activated sludge according to the aeration tank activated sludge image sample; generating biochemical system rating information matched with the activated sludge composition information according to the effluent quality information of the sedimentation tank, the microorganism composition information in the activated sludge of the aeration tank and a preset water quality evaluation system; and repeatedly acquiring the active sludge composition information and the biochemical system rating information, and storing the active sludge composition information and the biochemical system rating information generated each time to generate the rapid response wastewater biochemical system stability accurate evaluation model. The invention provides an evaluation model which can be quickly obtained, is high in timeliness, is not interfered by human factors, and is high in accuracy and reliability for the field of wastewater treatment.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment, and particularly relates to a rapid-response precise evaluation model for the stability of a wastewater biochemical system, a construction method thereof, and an application thereof. Background Art

[0002] Biochemical treatment refers to a method of purifying water quality by using microorganisms to absorb and degrade organic matter and toxic substances. Due to its low cost, high efficiency and other characteristics, it is widely used in municipal and industrial wastewater treatment, and the corresponding treatment units (aeration tank, sedimentation tank) are collectively referred to as the biochemical system. In the case of continuous fluctuations in the influent load, it is crucial to adjust parameters such as aeration intensity and sludge return ratio in a timely manner to ensure the normal operation of the biochemical system for wastewater treatment to meet the standards.

[0003] At present, the adjustment of the operating parameters of the biochemical system is based on the evaluation results of system stability. The common methods can be divided into three categories: one is to directly evaluate macroscopically according to the effluent water quality. It is convenient and simple to operate, but when the indicators are abnormal, it means that the system has tended to or is already in an unbalanced state, with serious hysteresis and unbalance risks; the second is to indirectly evaluate by detecting the physicochemical indicators of the mixed liquor of the biochemical system. It is widely used, but multiple indicators (MLSS, SV, etc.) need to be investigated, the steps are long and time-consuming, and it is not easy to obtain a clear conclusion. The third is to evaluate by observing the biological phase based on the operating principle of the biochemical system. The accuracy is high, but the evaluation results are greatly affected by personal factors of the observer and are difficult to be popularized and used.

[0004] Therefore, it is necessary to construct a rapid-response precise evaluation model for the stability of the wastewater biochemical system to accurately guide the adjustment of the parameters of the wastewater treatment biochemical system. Summary of the Invention

[0005] To solve the above deficiencies in the prior art, the present invention provides a rapid-response precise evaluation model for the stability of a wastewater biochemical system, a construction method thereof, and an application thereof.

[0006] The first aspect of the present invention provides a method for constructing a rapid-response precise evaluation model for the stability of a wastewater biochemical system, including:

[0007] Obtaining an activated sludge image sample at the end of the aeration tank and the effluent water quality information of the sedimentation tank after a preset time from the obtained activated sludge image sample of the aeration tank;

[0008] Generating information on the composition of microorganisms in the activated sludge of the aeration tank based on the obtained activated sludge image sample of the aeration tank;

[0009] Generating biochemical system rating information matching the activated sludge composition information based on the effluent water quality information of the sedimentation tank, the information on the composition of microorganisms in the activated sludge of the aeration tank, and a preset water quality evaluation system;

[0010] Repeatedly obtain the activated sludge composition information and the biochemical system rating information, store the activated sludge composition information and the biochemical system rating information generated each time, and generate a precise evaluation model for the stability of the wastewater biochemical system with rapid response.

[0011] In one embodiment, the method for obtaining the activated sludge image sample of the aeration tank includes:

[0012] Collect the activated sludge sample at the end of the aeration tank;

[0013] Collect the image of the activated sludge sample;

[0014] Perform an easy-to-recognize process on the collected image to obtain the activated sludge image sample of the aeration tank.

[0015] In one embodiment, the method for collecting the image of the activated sludge sample includes:

[0016] Use a microscope to take a first image of the activated sludge sample;

[0017] Adjust the image magnification of the microscope and re-take the image of the activated sludge sample to obtain a second image;

[0018] Integrate the first image and the second image to form the image of the activated sludge sample.

[0019] In one embodiment, perform pretreatment on the collected activated sludge sample of the aeration tank;

[0020] The pretreatment includes homogenization treatment.

[0021] In one embodiment, the homogenization treatment includes placing the obtained activated sludge sample in a collection container and mixing the collection container in a 45° oblique rotation manner centered to obtain a uniformly mixed and morphologically stable activated sludge sample.

[0022] In one embodiment, the easy-to-recognize process includes at least one of gray-scale correction, denoising, sharpening, edge enhancement, or contrast enhancement.

[0023] In one embodiment, the method for generating the microorganism composition information in the activated sludge of the aeration tank includes:

[0024] Obtain the image sample of the activated sludge in the aeration tank;

[0025] Extract the image of the effective area with microorganism morphology characteristics on the image sample;

[0026] Identify the types and quantities of microorganisms in the sample according to the characteristics of the microorganisms on the effective area image.

[0027] In one embodiment, the preset time is the time for the water quality to flow from the end of the aeration tank to the water quality detection point in the sedimentation tank.

[0028] The second aspect of the present invention provides a precise evaluation model for the stability of a rapid-response wastewater biochemical system, and the precise evaluation model for the stability of the rapid-response wastewater biochemical system is constructed by the method as described above.

[0029] The third aspect of the present invention provides an application of the precise evaluation model for the stability of the rapid-response wastewater biochemical system as described above in the process control method of the activated sludge process.

[0030] Based on the above, compared with the prior art, the present invention provides an evaluation model in the field of wastewater treatment that can be quickly obtained, has strong timeliness, is not interfered by human factors, and has high precision and high credibility.

[0031] Other features and beneficial effects of the present invention will be described in the subsequent specification, and part of them will be obvious from the specification or understood by implementing the present invention. The objectives and other beneficial effects of the present invention can be achieved and obtained through the structures specifically pointed out in the specification, claims, and drawings. Description of the Drawings

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts; in the positional relationships described in the following drawings, unless otherwise specified, the directions of the components shown in the drawings are used as the reference.

[0033] Figure 1 It is a flowchart of the method for constructing the activity standard database of biochemical sludge provided by the first embodiment of the present invention. Detailed Embodiments

[0034] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention; the technical features designed in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other; based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0035] In the description of the present invention, it should be noted that all terms used in the present invention (including technical terms and scientific terms) have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention pertains, and should not be construed as a limitation on the present invention; it should be further understood that the terms used in the present invention should be understood as having a meaning consistent with their meaning in the context of this specification and the relevant art, and should not be understood in an idealized or overly formal sense, unless explicitly defined as such in the present invention.

[0036] Reference Figure 1 , a method for constructing a precise evaluation model for the stability of a rapid-response wastewater biochemical system according to a first embodiment of the present invention includes the following steps:

[0037] Step 1: Obtain an activated sludge image sample at the end of the aeration tank and the effluent water quality information of the sedimentation tank after a preset time from the obtained activated sludge image sample of the aeration tank;

[0038] In this embodiment, the method for obtaining an activated sludge image sample of the aeration tank includes:

[0039] Collect an activated sludge sample at the end of the aeration tank;

[0040] Collect an image of the activated sludge sample;

[0041] Perform an easy-to-identify process on the collected image to obtain an activated sludge image sample of the aeration tank.

[0042] In some embodiments, the execution subject (for example, a computing device) of the method for constructing a precise evaluation model for the stability of a rapid-response wastewater biochemical system can obtain the above-mentioned sludge particle image sequence by means of wired connection or wireless connection. Among them, the image of the activated sludge sample can be an image corresponding to the activated sludge in the aeration tank collected by a high-speed camera.

[0043] It should be noted that the above-mentioned wireless connection methods can include, but are not limited to, 3G / 4G / 5G connections, WiFi connections, Bluetooth connections, WiMAX connections, Zigbee connections, UWB (ultrawideband) connections, and other currently known or future-developed wireless connection methods.

[0044] It should be noted that the above computing device can be hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster composed of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is embodied as software, it can be installed in the above-listed hardware devices. It can be implemented as, for example, multiple software or software modules for providing distributed services, or as a single software or software module. No specific limitation is made here. It should be understood that the number of computing devices can be arbitrary according to implementation needs.

[0045] In this embodiment, the method for collecting an image of the activated sludge sample includes:

[0046] Taking a first image of the activated sludge sample using a microscope;

[0047] Adjusting the image magnification of the microscope and re-taking an image of the activated sludge sample to obtain a second image;

[0048] Integrating the first image and the second image to form an image of the activated sludge sample;

[0049] Preferably, the magnification is 50 - 200 times.

[0050] The method for collecting an image of an activated sludge sample provided by an embodiment of the present invention brings various beneficial effects by combining the use of a microscope to take images at different magnifications and integrating these images. For example: This method can comprehensively display the microscopic features of the activated sludge sample. Among them, taking the first image as the image at a low magnification as the standard, it can provide an overall overview of the sample, while the second image reveals key details such as the microbial structure and morphology in the sludge by adjusting to a higher magnification. Secondly, integrating images at different magnifications helps to analyze the sludge sample more deeply, so that in the same image, both global information and local details can be seen, thereby more accurately evaluating the activity, health status, and potential treatment effect of the sludge. Finally, this method also improves the richness and readability of image information, making the analysis and reporting of the activated sludge sample more intuitive and accurate, and contributing to enhancing the scientificity and practicality of related research and applications.

[0051] In this embodiment, the preset time is the time for the water quality to flow from the sampling point in the aeration tank to the water quality sampling point in the sedimentation tank; preferably, the sampling point in the aeration tank is at the end of the aeration tank; it should be noted that obtaining the water quality information of the effluent from the sedimentation tank after the preset time for the obtained image sample of the activated sludge in the aeration tank is to make the water quality information extracted after the treatment of the activated sludge sample extracted at the end of the aeration tank match the water body currently being treated by the activated sludge sample; thus, by the detection result of the water quality, it is judged whether the microbial composition of the current water body corresponding to the activated sludge sample can achieve and complete the treatment of the water body, so that the water quality discharged into the sedimentation tank is qualified.

[0052] In one embodiment, a sampler is arranged at the end of the aeration tank to regularly extract activated sludge samples; preferably, the collected activated sludge samples from the aeration tank are pretreated.

[0053] The pretreatment includes homogenization treatment; specifically, the homogenization treatment includes placing the obtained activated sludge sample in a collection container and mixing the collection container in a 45° oblique rotation manner centered to obtain a uniformly mixed and morphologically stable activated sludge sample; in the embodiment of the present invention, by placing the obtained activated sludge sample in a collection container and mixing it in a 45° oblique rotation manner centered, this homogenization treatment process greatly improves the representativeness of the sample. Through rotational mixing, the uneven distribution and agglomeration phenomena in the sludge are eliminated, ensuring the uniformity and stability of the sample. This not only provides a more reliable basis for subsequent analysis, but also improves the accuracy and repeatability of the analysis, providing strong support for the optimization and monitoring of the wastewater treatment system.

[0054] Moreover, on the basis of the homogenization treatment, a first image of the activated sludge sample is taken by a microscope, and a second image is obtained by adjusting the image magnification. This process significantly enhances the comprehensiveness and in-depthness of the analysis. The first image provides an overall overview of the sample, while the second image reveals the microscopic structure and detailed features. Integrating the two forms an all-round and multi-level understanding of the activated sludge sample, providing more accurate information and basis for the optimization of the wastewater treatment process and fault diagnosis.

[0055] In this embodiment, the easy-to-identify treatment includes gray correction, (filtering) denoising, sharpening, edge enhancement, or contrast enhancement, etc. for the obtained image. Of course, one or more of these treatments can be selectively used. For example, after GRAY treatment and denoising, an image easy for data analysis is obtained.

[0056] Step 2: Generate information on the microbial composition in the activated sludge of the aeration tank according to the image sample of the activated sludge in the aeration tank.

[0057] In this embodiment, the method for generating the microbial composition information of the activated sludge in the aeration tank includes:

[0058] Obtain an image sample of the activated sludge in the aeration tank;

[0059] Extract the image of the effective area with the morphological characteristics of microorganisms on the image sample;

[0060] Identify the types and quantities of microorganisms in the sample according to the characteristics of the microorganisms on the effective area image.

[0061] In some embodiments, sample the sludge at the bottom of the end of the aeration tank to make a sample, collect images at a magnification of 100-400 times, and obtain images that are easy to observe after easy recognition processing; based on these images that are easy to observe, extract color characteristics, texture characteristics, and shape characteristics and compare them with the single composition standard samples of various representative microorganisms to confirm the microbial composition in the sample;

[0062] The color characteristic extraction includes a histogram; statistically analyze the color histogram of the pixel values in each segmented area to obtain the distribution information of different color channels (such as RGB or HSV). Specifically, the sample sent into the optical microscope can be used to take the image in the eyepiece with an RGB camera as the detection object, and the RGB image can be converted into an HSV image for subsequent analysis;

[0063] The texture characteristic extraction includes: GLCM features; calculate the Gray-Level Co-occurrence Matrix features of each area, including energy, contrast, uniformity, etc., for describing texture information.

[0064] The shape characteristic extraction includes: contour features; extract the contour characteristics of each segmented area, such as size, shape, and biological structures such as spores, capsules, and flagella, so as to extract the morphological characteristics of microorganisms in the image.

[0065] Furthermore, various microorganisms can be classified and counted based on the SVM and decision tree models to obtain the microbial composition information of the activated sludge in the aeration tank.

[0066] Specifically, in this embodiment, single-component standard samples of various representative microorganisms are collected, and initial samples of activated sludge images in the aeration tank are collected at a magnification of 100-400. Through grayscale conversion, filtering and denoising, contrast and sharpness enhancement, an activated sludge image sample in the aeration tank that is easy to observe is obtained. Further, morphological characteristics of microorganisms in the image are extracted based on size, shape, and biological structures such as spores, capsules, and flagella. Texture characteristics and color characteristics are extracted through GLCM and histograms, etc. Further, at a magnification of 100-400, an image of the activated sludge sample at the end of the aeration tank is collected and recognized, and various microorganisms are classified and counted through SVM and decision tree models. Finally, the microbial composition information in the activated sludge of the aeration tank is obtained;

[0067] In a preferred embodiment, the activated sludge image sample in the aeration tank can be multiple frames of continuously collected activated sludge images, so as to perform motion analysis on each frame of the image, etc., so as to better obtain the motion characteristics of microorganisms in the activated sludge, so as to generate more accurate microbial composition information in the activated sludge of the aeration tank.

[0068] It should be noted that a large number of studies have confirmed that the diversity and abundance of microbial species in activated sludge in sewage treatment are important parameters for controlling sewage treatment. These parameters can be used to evaluate the operating status of sewage treatment plants and the purification degree of sewage, especially the primary microorganisms, metazoans, bacteria, and algae in the activated sludge. By observing the types and quantities of microorganisms that appear under different operating states according to the basic law between the types and quantities of activated sludge microorganisms and the adapted hydrobiochemical environment, the operating status of the aeration tank in the sewage treatment plant is judged. The microorganisms are active microorganisms, such as filamentous bacteria, spherical bacteria, Vorticella, Epistylis, amoeba, rotifer, nematode, and oligochaete.

[0069] Step 3: Generate biochemical system rating information that matches the activated sludge composition information according to the sedimentation tank effluent water quality information, the microbial composition information in the activated sludge of the aeration tank, and a preset water quality evaluation system;

[0070] In this embodiment, the water quality information of the effluent from the sedimentation tank is combined with a preset water quality evaluation system to judge and grade the current effluent water quality, and then a one-to-one correspondence is formed between the grade of the water quality information and the microbial composition information in the activated sludge of the current aeration tank. For example, the effluent water quality information from the sedimentation tank is classified, and further, the above water quality rating rules are matched with the activated sludge composition information to form a rating of the composition and survival of the microorganisms in the activated sludge, and the result is equivalent to the biochemical system rating information. For example, an evaluation of "excellent" indicates that the biochemical system has excellent stability, an evaluation of "good" indicates that there is a risk of instability in the biochemical system, and the hydraulic load of the incoming water needs to be closely monitored. An evaluation of "medium" indicates that the biochemical system has been initially unstable, and it is necessary to consider reducing the hydraulic load of the incoming water or adjusting the system operation parameters. An evaluation of "poor" indicates that the biochemical system has been severely unbalanced, and it is necessary to simultaneously reduce the hydraulic load of the incoming water and adjust the system operation parameters; thus, the current operation state of the activated sludge process system can be monitored and fed back in real time to avoid the mechanical operation method of using a fixed microbial composition system standard for determination, which may lead to difficulties in timely detecting problems in case of emergencies.

[0071] The water quality evaluation system should be determined by comprehensively considering the types of wastewater inflow and discharge standards. For example, the Discharge Standard of Water Pollutants for the Iron and Steel Industry GB 13456—2012, the Discharge Standard of Pollutants for Municipal Wastewater Treatment Plants GB 18918-2002, the Discharge Standard of Water Pollutants for the Pesticide Industry GB 21523—2024, the Emission Control Standard for Water Pollutants from Ships GB 3552-2018, etc.; for municipal sewage, COD, SS, total nitrogen, ammonia nitrogen, total phosphorus, chromaticity, and PH can be selected.

[0072] Step 4: Repeatedly obtain the activated sludge composition information and the biochemical system rating information, store the activated sludge composition information and the biochemical system rating information generated each time, and generate a precise evaluation model for the stability of the rapid-response wastewater biochemical system.

[0073] By obtaining a large amount of activated sludge composition information and biochemical system rating information to enrich the precise evaluation model for the stability of the rapid-response wastewater biochemical system, a more targeted, time-effective, and better data-matched precise evaluation model for the stability of the rapid-response wastewater biochemical system can be obtained, which can effectively respond to different sewage situations.

[0074] It should be noted that regardless of whether the activated sludge property evaluation information is qualified or not, it should be stored in the accurate evaluation model for the stability of the rapid-response wastewater biochemical system. For unqualified activated sludge property evaluation information, it can be negatively feedback optimized through manual operation after acquisition to make the subsequent obtained evaluation information meet the qualified standard. A computer learning model can also be established simultaneously. For different activated sludge property evaluation information and negative feedback optimization, it can deeply learn and establish a control model, so that after obtaining unqualified activated sludge property evaluation information, it can perform adaptive adjustment according to the learned negative feedback optimization operation, thereby realizing the full-automatic operation control of the process.

[0075] The method for constructing an accurate evaluation model for the stability of a rapid-response wastewater biochemical system provided by the present invention integrates activated sludge image samples and sedimentation tank effluent water quality information to construct an accurate evaluation model for the stability of the rapid-response wastewater biochemical system, showing significant beneficial effects as follows:

[0076] First of all, this method realizes the real-time monitoring and evaluation of the state of the wastewater biochemical system. By obtaining the activated sludge image samples at the end of the aeration tank, it can intuitively reflect the composition and activity state of microorganisms in the system. Combining with the sedimentation tank effluent water quality information, the operation status of the system can be comprehensively grasped. This real-time monitoring method helps to promptly discover and deal with potential unstable factors in the system, ensuring the continuity and high efficiency of wastewater treatment.

[0077] Secondly, this method improves the accuracy of evaluation. Through the preset water quality evaluation system, by matching and analyzing the activated sludge composition information and the effluent water quality information, more accurate biochemical system rating information can be generated. This not only helps to accurately judge the operation status of the system, but also provides a scientific basis for optimization and adjustment, further improving the wastewater treatment effect.

[0078] In addition, this method also has the ability of rapid response. By repeatedly obtaining and storing the activated sludge composition information and the biochemical system rating information, a perfect evaluation model can be gradually constructed. This model can realize the rapid prediction and evaluation of the system stability, providing strong support for emergency treatment and ensuring that the wastewater biochemical system can quickly return to stability in the face of emergencies.

[0079] In summary, this method shows multiple advantages such as real-time monitoring, accurate evaluation and rapid response in the evaluation of the stability of the wastewater biochemical system, which is of great significance for improving the efficiency and quality of wastewater treatment.

[0080] In addition, those skilled in the art should understand that although there are many problems in the prior art, each embodiment or technical solution of the present invention can be improved in only one or several aspects, and it is not necessary to solve all the technical problems listed in the prior art or the background art at the same time. Those skilled in the art should understand that the content not mentioned in a claim should not be regarded as a limitation to that claim.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a rapid response wastewater biochemical system stability accurate evaluation model, comprising: Obtaining activated sludge image samples at the end of the aeration tank and water quality information of effluent from the sedimentation tank after a preset time from the activated sludge image samples of the aeration tank; Generating microbial composition information in the aeration tank activated sludge according to the aeration tank activated sludge image sample; Generate biochemical system rating information that matches the activated sludge composition information based on the sedimentation tank effluent quality information, the microbial composition information in the aeration tank activated sludge, and a preset water quality evaluation system; The activated sludge composition information and the biochemical system rating information are repeatedly obtained, and the activated sludge composition information and the biochemical system rating information generated each time are stored to generate a rapid response wastewater biochemical system stability accurate evaluation model.

2. The method for constructing a rapid response wastewater biochemical system stability accurate evaluation model according to claim 1, characterized in that: Methods for obtaining image samples of activated sludge in aeration tanks include: Collect activated sludge samples at the end of the aeration tank; capturing an image of the activated sludge sample; The collected images are processed for easy identification to obtain the activated sludge image samples of the aeration tank.

3. The method for constructing a rapid response wastewater biochemical system stability accurate evaluation model according to claim 2, characterized in that: The method of collecting the image of the activated sludge sample comprises: The first images of activated sludge samples were taken using a microscope; adjusting the image magnification of the microscope, and retaking the image of the activated sludge sample to obtain a second image; The first image and the second image are integrated to form an image of the activated sludge sample.

4. The method for constructing a rapid response wastewater biochemical system stability accurate evaluation model according to claim 2, characterized in that: Pre-treat the activated sludge samples collected from the aeration tank; The pretreatment includes a homogenization treatment.

5. The method for constructing a rapid response wastewater biochemical system stability accurate evaluation model according to claim 4, characterized in that: The homogenization treatment includes placing the obtained activated sludge sample in a collection container, and mixing the collection container in a 45° oblique central rotation manner to obtain an activated sludge sample that is evenly mixed and has a stable shape.

6. The method for constructing a rapid response wastewater biochemical system stability accurate evaluation model according to claim 2, characterized in that: The easy-to-identify processing includes at least one of grayscale correction, denoising, sharpening, edge enhancement, or contrast enhancement.

7. The method for constructing a rapid response wastewater biochemical system stability accurate evaluation model according to claim 1, characterized in that: Methods for generating information on the microbial composition of activated sludge in aeration tanks include: Obtain image samples of activated sludge in aeration tanks; Extracting an effective area image with microbial morphological features on the image sample; The types and quantities of the microorganisms in the sample are identified according to the characteristics of the microorganisms on the effective area image.

8. The method for constructing a rapid response wastewater biochemical system stability accurate evaluation model according to claim 1, characterized in that: The preset time is the time it takes for the water to flow from the end of the aeration tank to the water quality detection point in the sedimentation tank.

9. A rapid response wastewater biochemical system stability accurate evaluation model, characterized in that: The rapid response wastewater biochemical system stability accurate evaluation model is constructed by the method described in any one of claims 1-8.

10. An application of the rapid response wastewater biochemical system stability accurate evaluation model as claimed in claim 9 in an activated sludge process control method.

Images