An automatic monitoring system and control method for a secondary sewage treatment tank

Abstract

The present application relates to a kind of automatic monitoring system and control method of sewage treatment secondary sedimentation tank, the automatic monitoring system includes: image acquisition system, image model database, wisdom decision system, online instrument system, electrical control equipment system and operation and maintenance mobile terminal.The control method includes: using image acquisition system to obtain image information, image information is identified to obtain monitoring information by image model database;Using online instrument system to obtain operating parameter;Monitoring information and operating parameter are analyzed in wisdom decision system, the running state of secondary sedimentation tank is judged, and abnormal state is regulated.The automatic monitoring system and control method provided by the present application can monitor the running condition of secondary sedimentation tank in real time, realize the function of unattended automatic monitoring and regulation, greatly improve the operation and maintenance efficiency of sewage plant, reduce the workload of artificial inspection, increase the reliability of system automatic operation, reduce the manpower demand of sewage plant.

Description

Technical Field

[0001] This invention relates to the field of environmental protection technology, specifically to an automated monitoring system and control method for a secondary sedimentation tank in wastewater treatment. Background Technology

[0002] With the rapid development of information and internet technologies, sewage treatment plants and pipe networks are moving towards intelligent management, tending towards fully automated and unattended operation. This means that regular monitoring and periodic inspections are conducted, and intelligent management methods can enable sewage treatment plants to operate "lights out".

[0003] Secondary sedimentation tanks are an important component of traditional municipal wastewater treatment plants. Their main principle is to achieve sludge thickening and sludge-water separation through gravity sedimentation, continuously providing return sludge for the activated sludge system. They are a key unit in ensuring that the effluent from municipal wastewater treatment plants meets standards. Currently, the operational status of secondary sedimentation tanks mainly relies on visual observation by inspection personnel to assess sludge-water separation, effluent conditions, and the state of floating sludge on the tank surface, as well as the use of limited instruments and inefficient testing methods. This approach suffers from problems such as being simplistic, inefficient, and prone to delays, and unattended operation is not yet feasible.

[0004] CN104090488A discloses a method for automatic real-time control of dissolved oxygen, sludge load, and sludge age in a wastewater treatment plant, comprising the following steps: a data setting step, setting parameters for dissolved oxygen in the aerobic tank, specific oxygen consumption rate in the aerobic tank, sludge age, and sludge level in the secondary sedimentation tank; a data acquisition step, collecting system parameters through instruments installed at various locations within the system; a data processing step, calculating the actual values ​​of dissolved oxygen in the aerobic tank, specific oxygen consumption rate, sludge age, and sludge level in the secondary sedimentation tank based on the collected system parameters; and a system adjustment step, comparing the processed actual values ​​with the set parameter values, and automatically adjusting the system based on the comparison results. However, this method fails to provide a method for real-time monitoring of any abnormal behavior in the secondary sedimentation tank.

[0005] CN112807759A discloses a uniform sludge discharge system and its control method for secondary sedimentation tanks in wastewater treatment plants. The sludge discharge system includes a sludge return tank and at least two secondary sedimentation tanks. Each secondary sedimentation tank and the sludge return tank are connected by a sludge discharge pipe. A return pump is installed in the sludge return tank. The sludge discharge pipe includes a main sludge discharge pipe and at least two sets of branch sludge discharge pipes connected to the main sludge discharge pipe. Flow limiting valves and control valves are installed on the branch sludge discharge pipes. This method mainly ensures that the flow rate from different secondary sedimentation tanks into the sludge return tank through the sludge discharge pipes is the same by setting flow limiting valves; however, it cannot achieve real-time monitoring of the operating status of the secondary sedimentation tanks.

[0006] CN113788540A discloses an immersion-type active infrared self-cleaning sludge layer sensing device and method for secondary sedimentation tanks. The device includes an upper sleeve and a lower sleeve connected vertically to form a connected inner cavity; a set of infrared transmitters and receivers located on the inner wall of the upper sleeve and arranged opposite to each other; a transparent rigid ring attached to the front of the infrared transmitters and receivers; and a push rod assembly that can move up and down within the inner cavity for cleaning the transparent rigid ring. While this method addresses sludge level control in the secondary sedimentation tank, it does not mention how to monitor and control the surface of the secondary sedimentation tank in real time.

[0007] Therefore, it is of great significance to provide an automated monitoring system and control method for secondary sedimentation tanks in wastewater treatment. Summary of the Invention

[0008] To address the above problems, the present invention aims to provide an automated monitoring system and control method for secondary sedimentation tanks in wastewater treatment. Compared with the prior art, the automated monitoring system and control method provided by the present invention can monitor abnormal conditions of the liquid level in the secondary sedimentation tank in real time, replace manual inspection, and fill the gap in real-time monitoring technology for secondary sedimentation tanks.

[0009] To achieve this objective, the present invention adopts the following technical solution:

[0010] In a first aspect, the present invention provides an automated monitoring system for a secondary sedimentation tank in wastewater treatment, the automated monitoring system comprising: an image acquisition system, an image model database, an intelligent decision-making system, an online instrument system, an electrical control equipment system, and an operation and maintenance mobile terminal;

[0011] The output of the image acquisition system is connected to the image model database;

[0012] The output of the image model database is connected to the intelligent decision-making system;

[0013] The output of the online instrument system is connected to the intelligent decision-making system.

[0014] The output of the intelligent decision-making system is connected to the electrical control equipment system and the operation and maintenance mobile terminal, respectively.

[0015] The automated monitoring system provided by this invention acquires image information through an image acquisition system. The acquired image information is then processed by an image model database to obtain monitoring information. An online instrumentation system collects the operating parameters of the secondary sedimentation tank. The monitoring information and operating parameters are output to an intelligent decision-making system. The output of the intelligent decision-making system is connected to both an electrical control equipment system and a mobile maintenance terminal. This automated monitoring system, through the coordinated operation of the image acquisition system, image model database, intelligent decision-making system, online instrumentation system, electrical control equipment system, and mobile maintenance terminal, can monitor abnormal conditions of the secondary sedimentation tank liquid level in real time, replacing manual inspections and effectively solving the drawbacks of traditional methods.

[0016] In this invention, the intelligent decision-making system includes a database containing all data from the wastewater treatment plant, including operating parameters of each water treatment unit, influent and effluent flow rates, water quality and status data, as well as control data for each piece of equipment and valves. Operating parameters or image information obtained from the online instrumentation system and image acquisition system can be compared with set values ​​in the database within the intelligent decision-making system. The operating parameters obtained from the online instrumentation system and the image information acquired by the image acquisition system are coupled and used to determine the operating status of the secondary sedimentation tank. If an anomaly is detected, the anomaly level is determined, and the corresponding equipment in the electrical control system is adjusted according to the cause of the incident. If on-site operation is required, the control information is sent to the maintenance personnel's mobile terminal, which can be a mobile phone, tablet, or other terminal device.

[0017] Preferably, the image acquisition system includes a camera.

[0018] Preferably, the camera is positioned above the secondary sedimentation tank.

[0019] In this invention, the camera is located on an automatically movable sliding rail to capture real-time images of the clear water area of ​​the secondary sedimentation tank.

[0020] Preferably, the online instrumentation system includes any one or a combination of at least two of a flow meter, a sludge level meter, an online turbidity meter, or a sludge concentration meter, wherein a typical but non-limiting combination includes a combination of a flow meter, a sludge level meter, an online turbidity meter, and a sludge concentration meter. By setting up the above-mentioned online instrumentation system, the present invention can collect operating parameters such as sludge level, flow rate, and effluent suspended solids (SS).

[0021] In this invention, mud level gauges are installed at multiple points within the secondary sedimentation tank.

[0022] Preferably, the flow meter is installed in the inlet channel of the secondary sedimentation tank.

[0023] Preferably, the sludge level gauge is installed inside the secondary sedimentation tank or inside the sludge hopper of the secondary sedimentation tank.

[0024] Preferably, the online turbidity meter is installed in the effluent channel of the secondary sedimentation tank.

[0025] Preferably, the sludge concentration meter is installed inside the sludge return pipe of the secondary sedimentation tank.

[0026] Preferably, the electrical control equipment system includes any one or a combination of at least two of the following: pump, fan, valve, sludge scraper, scum scraper, or sprinkler. Typical but non-limiting combinations include the combination of pump, fan, valve, sludge scraper, scum scraper, and sprinkler.

[0027] Preferably, the valve includes any one or a combination of at least two of the following: an inlet valve, an outlet valve, or a drain valve, wherein a typical but non-limiting combination includes a combination of an inlet valve, an outlet valve, and a drain valve.

[0028] Preferably, the automated monitoring system further includes a regional monitoring and display center.

[0029] Preferably, the output of the intelligent decision-making system is connected to the regional monitoring and display center.

[0030] In this invention, the intelligent decision-making system can display the operating status, alarms, and anomaly handling progress in real time at the regional monitoring and display center.

[0031] Preferably, the maintenance mobile terminal includes a maintenance mobile phone.

[0032] In a second aspect, the present invention provides a control method for a secondary sedimentation tank in wastewater treatment. The control method employs the automated monitoring system described in the first aspect of the present invention, and includes the following steps:

[0033] (1) An image acquisition system is used to acquire images of the secondary sedimentation tank to obtain image information of the secondary sedimentation tank. The image information is output to the image model database and AI automatic recognition technology is used for recognition to obtain monitoring information. The monitoring information is then transmitted to the intelligent decision-making system.

[0034] (2) The operating parameters of the secondary sedimentation tank are collected by an online instrumentation system, and the operating parameters of the secondary sedimentation tank are transmitted to the intelligent decision-making system.

[0035] (3) Analyze the monitoring information obtained in step (1) and the operating parameters obtained in step (2) in the intelligent decision-making system to determine the operating status of the secondary sedimentation tank;

[0036] If the secondary sedimentation tank is in normal operating condition, monitoring will continue through the control methods in steps (1) to (3). If the secondary sedimentation tank is in an abnormal state, the intelligent decision-making system will adjust the system. The adjustment methods include:

[0037] If the monitoring information is abnormal, the image information described in step (1) is retrieved. If the image information is not abnormal, the problem is determined by calculation, an alarm is triggered, and the intelligent decision-making system is used for regulation.

[0038] If the monitoring information is abnormal, the operating parameters are retrieved. If the operating parameters are abnormal, the problem is determined by calculation, an alarm is triggered, and the intelligent decision-making system is used for control.

[0039] If the operating parameters are abnormal but the monitoring information is normal, the problem will be determined by calculation, an alarm will be triggered, and the intelligent decision-making system will be used for control.

[0040] The control method provided by this invention can monitor the operation of the secondary sedimentation tank in real time, realize the function of unattended automatic monitoring and control, greatly improve the operation and maintenance efficiency of the sewage treatment plant, reduce the workload of manual inspection, increase the reliability of automatic system operation, and reduce the manpower requirements of the sewage treatment plant.

[0041] Preferably, the image acquisition system in step (1) uses a camera to acquire images of the secondary sedimentation tank.

[0042] Preferably, the AI ​​automatic recognition technology adopts a convolutional neural network structure.

[0043] In this invention, a convolutional neural network (CNN) structure is preferably used because the neurons in each layer of a CNN are arranged in three dimensions (width, height, and depth). Each layer of a CNN transforms the 3D input data into 3D activation data of neurons and outputs it. Convolutional layers use fewer weights and biases and possess translation invariance. Compared to ordinary neural networks that use fully connected layers between the input and hidden layers for feature extraction, the CNN structure used in this invention significantly improves processing speed.

[0044] Preferably, the training method for the convolutional neural network structure includes positive and negative reinforcement training.

[0045] In this invention, the positive and negative reinforcement training learning method refers to providing positive and negative photos during the deep learning process. For example, a photo of floating sludge in the secondary sedimentation tank is provided and labeled as a true label, while a photo of feces similar to the floating sludge is provided and labeled as a false label. Through positive and negative learning, the accuracy of learning is improved, thereby training a model with high recognition accuracy to achieve AI intelligent recognition of abnormal conditions in the secondary sedimentation tank.

[0046] Preferably, when the abnormal state described in step (3) is sludge floating, the method for the intelligent decision-making system to regulate includes: calculating the sludge age of the AAO process in the secondary sedimentation tank and recording it as θ. The normal range of θ is generally 10-22 days.

[0047] In this invention, the method for calculating the sludge age in the AAO process includes:

[0048]

[0049] ΔX=YQ(S0-S e )-K d VX v +fQ[(SS)0-(SS) e ];

[0050] Where ΔX represents the sludge inflow rate to the secondary sedimentation tank; V represents the volume of the secondary sedimentation tank; and X represents the suspended solids concentration of the mixed liquor (kg / m³). 3 Y represents the sludge production coefficient (0.3-0.8 at 20°); Q represents the wastewater flow rate (m³ / s). 3 / d); S0 represents the influent BOD concentration (mg / L); S e The effluent BOD concentration is expressed as mg / L; Kd represents the attenuation coefficient; f represents the SS sludge conversion rate (0.5-0.7); X v This indicates the concentration of volatile suspended solids in the sludge.

[0051] If θ > 22 days, it can be determined that the sludge age is too long. In this case, the intelligent decision-making system will send the control instructions to the sludge scraper of the electrical control equipment system to clean the bottom of the secondary sedimentation tank and discharge sludge, adjust the sludge age in the biological system, and prevent the sludge from floating up again.

[0052] If 10≤θ≤22 days, and if the sludge level parameter in the operating parameters is greater than the set value, it is determined that the sludge discharge from the secondary sedimentation tank is not smooth or complete, and the sludge has been at the bottom for too long, causing the sludge to float. In this case, the intelligent decision-making system will send the control command to the sludge scraper of the electrical control equipment system to clean the bottom of the secondary sedimentation tank and discharge sludge, increasing the sludge discharge volume until the sludge level parameter of the secondary sedimentation tank reaches below the set value.

[0053] If 10 ≤ θ ≤ 22 days, and the sludge level parameter in the operating parameters is ≤ set value, the aeration rate of the biological treatment tank is calculated by retrieving the parameters of the aeration blower in the biological treatment tank. It is then determined whether the sludge floats due to excessive aeration. If the aeration rate of the biological treatment tank is > 1.5 times the set value, the intelligent decision-making system will send the control command to the blower in the electrical control equipment system to reduce the air supply of the blower until the sludge level parameter in the secondary sedimentation tank reaches below the set value.

[0054] The method for calculating the aeration rate of the biological treatment tank includes:

[0055] R = 0.001aQ(S0-S e )-cΔX V +b[0.001Q(N K -N Ke)-0.12ΔXv]-0.62b[0.001Q(N t -N ke -N oe -0.12ΔX V ;

[0056] R0 = 1.33 - 1.61R

[0057] Where R represents the oxygen demand of the biological reactor; a represents the oxygen equivalent of carbon, which is taken as 1.47 when the carbon content is expressed as BOD5; Q represents the influent flow rate of the biological reactor (m³ / s). 3 / d); S o This indicates the five-day biochemical oxygen demand (BOD) concentration (mg / L) of the influent to the biological reactor; S e ΔX represents the five-day biochemical oxygen demand (BOD) concentration in the effluent from the bioreactor (mg / L); c represents the oxygen equivalent of bacterial cells, taken as 1.42; ΔX v b represents the amount of microorganisms discharged from the bioreactor system (kg / d); b represents the amount of ammonia nitrogen oxidized per kilogram; N k This indicates the total Kjeldahl nitrogen concentration (mg / L) in the influent to the biological reactor; N ke The total Kjeldahl nitrogen concentration in the effluent from the biological reactor is expressed as (mg / L); Nt represents the total nitrogen in the influent to the biological reactor (mg / L); Noe represents the nitrate nitrogen concentration in the effluent from the biological reactor (mg / L); R0 represents the total oxygen content transferred to the aerated biological reactor mixture under standard conditions (kg / h); GS represents the air supply rate (m³ / h). 3 / h); EA represents the oxygen transfer efficiency of the air diffusion device (subtract the value before the % sign).

[0058] The data used in the above calculations are the average of the data from the past 5 days when the abnormal state occurred.

[0059] If 10≤θ≤22 days, and the sludge level parameter in the operating parameters is ≤ set value, and the aeration rate of the biological treatment tank is ≤ 1.5 times the set value, then the intelligent decision-making system will send the control instructions to the operation and maintenance mobile terminal to notify the operation and maintenance personnel to conduct troubleshooting.

[0060] Preferably, when the abnormal state described in step (3) is increased foam, the method for the intelligent decision-making system to regulate includes: calculating the percentage of the foam coverage area in the secondary sedimentation tank to the liquid surface area of ​​the secondary sedimentation tank and recording it as A; if A > 30%, the intelligent decision-making system will send the regulation command to the sprinkler of the electrical control equipment system to spray, and break the foam floating on the water surface by spraying water flow or water droplets.

[0061] If the calculated value of A after spraying is ≤30%, then spraying should be stopped; if the calculated value of A after spraying is >30%, it indicates that the spraying cannot achieve a good defoaming effect, and the intelligent decision-making system will issue an alarm, suggesting that it may be due to filamentous bacteria expansion, and will send the control information to the operation and maintenance mobile terminal to take the sludge for SVI value testing, and decide whether to add bactericide based on the result.

[0062] Preferably, when the abnormal state described in step (3) is an abnormal floating object, the method for the intelligent decision-making system to make adjustments includes: judging based on monitoring information; if the abnormal floating object is a known floating object, the intelligent decision-making system will send the adjustment command to the scum machine and / or sludge scraper of the electrical control equipment system to remove the floating object; if the abnormal floating object is an unknown floating object, the intelligent decision-making system will send the adjustment information to the operation and maintenance mobile terminal, and the operation and maintenance personnel will decide whether to take special measures.

[0063] In this invention, the known floating objects include gloves, branches, leaves, small animals (fish, birds, mice), or plastic bags, etc.

[0064] Preferably, when the abnormal state described in step (3) is an increase in algae, the method for the intelligent decision-making system to regulate includes: calculating the NH3-N value of the influent to the secondary sedimentation tank; if the NH3-N value is greater than twice the set value, it is determined that the NH3-N nitrification of the effluent from the secondary sedimentation tank is incomplete, and the aeration rate of the aerobic section needs to be increased to the required range. The intelligent decision-making system alarms to indicate that the aeration of the biological section needs to be strengthened to ensure the completion of nitrification. After the personnel review and agree, the regulation instruction is sent to the blower of the electrical control equipment system to increase the air supply of the blower in the biological tank. At the same time, the regulation information that the secondary sedimentation tank needs to clean algae is sent to the operation and maintenance mobile terminal to realize the allocation of operation and maintenance personnel.

[0065] Preferably, when the abnormal state described in step (3) is overflow, the method for the intelligent decision-making system to regulate includes: if the liquid level parameter of the secondary sedimentation tank in the operating parameters is greater than the set value (generally referring to the highest liquid level), the intelligent decision-making system will send the regulation command to the inlet valve and outlet valve of the electrical control equipment system, adjust the opening of the inlet valve to decrease by 30% and the outlet valve to be fully open until the liquid level returns to normal; if the liquid level cannot return to normal, it can be determined that the outlet pipe of the secondary sedimentation tank is blocked, then the intelligent decision-making system will alarm and send the regulation command to the drain valve of the electrical control equipment system, open the drain valve and send the regulation information to the operation and maintenance mobile terminal.

[0066] Preferably, when the abnormal state described in step (3) is the water head above the weir, the method for the intelligent decision-making system to regulate includes: determining the positional relationship between the liquid level and the outlet weir through monitoring information, identifying the water head above the weir, calculating the liquid surface load and solid load of a single secondary sedimentation tank, denoted as q and Q respectively; if q > 4.5 m / h and / or Q > 150 m / h, the intelligent decision-making system will send the regulation command to the inlet valve of the electrical control equipment system to adjust the water volume between multiple secondary sedimentation tanks until the liquid surface load and solid load of a single secondary sedimentation tank are equal, thus avoiding the occurrence of an excessively high state in a single tank.

[0067] In this invention, the calculation methods for the liquid surface load and solid load of a single secondary sedimentation tank include:

[0068] Single pool liquid level load:

[0069] Single-pool solid load:

[0070] Where F represents the area of ​​a single secondary sedimentation tank (m²) 2 G represents solid load (kg / m³). 2 ·d); X represents the suspended sludge concentration (kg / m³) 3 ); R 回流 The return sludge ratio is indicated; n represents the number of secondary sedimentation tanks; the set value of q is 1.5-4.5 m / h; the set value of Q is ≤150 m / h.

[0071] As a preferred embodiment of the present invention, the control method includes the following steps:

[0072] (1) The image of the secondary sedimentation tank is acquired by a camera in the image acquisition system to obtain image information of the secondary sedimentation tank. The image information is output to the image model database and AI automatic recognition technology is used for recognition to obtain monitoring information. The monitoring information is then sent to the intelligent decision-making system. The AI ​​automatic recognition technology adopts a convolutional neural network structure. The training method of the convolutional neural network structure includes positive and negative reinforcement training learning method.

[0073] (2) The operating parameters of the secondary sedimentation tank are collected by an online instrumentation system, and the operating parameters of the secondary sedimentation tank are transmitted to the intelligent decision-making system.

[0074] (3) Analyze the monitoring information obtained in step (1) and the operating parameters obtained in step (2) in the intelligent decision-making system to determine the operating status of the secondary sedimentation tank;

[0075] If the secondary sedimentation tank is in normal operation, it continues to be monitored using the control methods in steps (1) to (3). If the secondary sedimentation tank is in an abnormal state, the intelligent decision-making system will regulate it. The regulation method includes: if the monitoring information is abnormal, the image information in step (1) will be retrieved; if the image information is normal, the problem will be determined by calculation, an alarm will be triggered, and the intelligent decision-making system will be used for regulation; if the monitoring information is abnormal, the operating parameters will be retrieved; if the operating parameters are abnormal, the problem will be determined by calculation, an alarm will be triggered, and the intelligent decision-making system will be used for regulation; if the operating parameters are abnormal but the monitoring information is normal, the problem will be determined by calculation, an alarm will be triggered, and the intelligent decision-making system will be used for regulation.

[0076] When the abnormal state is sludge floating, the intelligent decision-making system adjusts the system as follows: Calculate the sludge age (θ) in the secondary sedimentation tank using the AAO method; if θ > 22 days, it is determined that the sludge age is too long, and the intelligent decision-making system sends an adjustment command to the scraper in the electrical control system to increase the sludge discharge rate; if 10 ≤ θ ≤ 22 days, and the sludge level parameter in the operating parameters is greater than the set value, it is determined that the sludge floating is caused by nitrification at the bottom due to untimely sludge discharge, and the intelligent decision-making system sends an adjustment command to the scraper in the electrical control system to clean the bottom of the secondary sedimentation tank and discharge sludge until the sludge level in the secondary sedimentation tank is cleared. If the sludge level parameter reaches below the set value; if 10≤θ≤22 days, and the sludge level parameter in the operating parameters is ≤ set value, the aeration rate of the biological treatment tank is calculated by retrieving the parameters of the aeration blower in the biological treatment tank. If the aeration rate of the biological treatment tank is > 1.5 times the set value, the intelligent decision-making system will send the control command to the blower in the electrical control equipment system to reduce the air supply of the blower until the sludge level parameter in the secondary sedimentation tank reaches below the set value. If 10≤θ≤22 days, and the sludge level parameter in the operating parameters is ≤ set value, and the aeration rate of the biological treatment tank is ≤ 1.5 times the set value, the intelligent decision-making system will send the control command to the operation and maintenance mobile terminal.

[0077] When the abnormal state is characterized by increased foam, the intelligent decision-making system adjusts the system as follows: It calculates the percentage of foam coverage area in the secondary sedimentation tank relative to the liquid surface area of ​​the secondary sedimentation tank and records this percentage as A; if A > 30%, the intelligent decision-making system sends an adjustment command to the sprinkler in the electrical control equipment system for spraying; if A is calculated after spraying and A ≤ 30%, spraying is stopped; if A is calculated after spraying and A > 30%, the intelligent decision-making system issues an alarm and sends the adjustment information to the maintenance mobile terminal.

[0078] When the abnormal state is abnormal floating objects, the method for the intelligent decision-making system to make adjustments includes: judging based on monitoring information; if the abnormal floating objects are known floating objects, the intelligent decision-making system will send adjustment instructions to the scum machine and / or sludge scraper of the electrical control equipment system to remove the floating objects; if the abnormal floating objects are unknown floating objects, the intelligent decision-making system will send adjustment information to the operation and maintenance mobile terminal.

[0079] When the abnormal state is an increase in algae, the method for the intelligent decision-making system to regulate includes: calculating the NH3-N value of the influent to the secondary sedimentation tank; if the NH3-N value is greater than twice the set value, the intelligent decision-making system will issue an alarm and send the regulation command to the fan of the electrical control equipment system to increase the air supply of the fan in the biological treatment tank, and send the regulation information to the operation and maintenance mobile terminal.

[0080] When the abnormal state is overflow, the method for the intelligent decision-making system to regulate includes: if the liquid level parameter of the secondary sedimentation tank in the operating parameters is greater than the set value, the intelligent decision-making system sends the regulation command to the inlet valve and outlet valve of the electrical control equipment system, adjusts the opening of the inlet valve to decrease by 30% and the outlet valve to be fully open, until the liquid level returns to normal; if the liquid level cannot return to normal, the intelligent decision-making system alarms and sends the regulation command to the drain valve of the electrical control equipment system, opens the drain valve and sends the regulation information to the operation and maintenance mobile terminal;

[0081] When the abnormal state is the water head above the weir, the method for the intelligent decision-making system to regulate includes: determining the positional relationship between the liquid level and the outlet weir through monitoring information, identifying the water head above the weir, and calculating the liquid surface load and solid load of a single secondary sedimentation tank, denoted as q and Q respectively; if q > 4.5 m / h and / or Q > 150 m / h, the intelligent decision-making system will send the regulation command to the inlet valve of the electrical control equipment system to adjust the water volume among multiple secondary sedimentation tanks until the liquid surface load and solid load of each secondary sedimentation tank are equal.

[0082] Compared with the prior art, the present invention has the following beneficial effects:

[0083] The automated monitoring system and control method provided by this invention can monitor the operation of the secondary sedimentation tank in real time, realize the function of unattended automatic monitoring and regulation, greatly improve the operation and maintenance efficiency of the sewage treatment plant, reduce the workload of manual inspection, increase the reliability of the automatic operation of the system, and reduce the manpower requirements of the sewage treatment plant. Attached Figure Description

[0084] Figure 1 This is a schematic diagram of the structure of the automated monitoring system described in Embodiment 1 of the present invention;

[0085] Among them, 1-Image acquisition system; 2-Image model database; 3-Online instrument system; 4-Intelligent decision-making system; 5-Electrical control equipment system; 6-Maintenance mobile phone; 7-Regional monitoring and display center;

[0086] Figure 2 This is a flowchart illustrating the control method described in Embodiment 1 of the present invention. Detailed Implementation

[0087] The technical solution of the present invention will be further illustrated below through specific embodiments. Those skilled in the art should understand that the embodiments described are merely illustrative of the present invention and should not be construed as limiting the invention.

[0088] Example 1

[0089] This embodiment provides an automated monitoring system for a secondary sedimentation tank in wastewater treatment, such as... Figure 1 As shown, the automated monitoring system includes: an image acquisition system 1, an image model database 2, an intelligent decision-making system 4, an online instrument system 3, an electrical control equipment system 5, and a maintenance mobile phone 6. The output of the image acquisition system 1 is connected to the image model database 2, the output of the image model database 2 is connected to the intelligent decision-making system 4, the output of the online instrument system 3 is connected to the intelligent decision-making system 4, and the output of the intelligent decision-making system 4 is connected to both the electrical control equipment system 5 and the maintenance mobile phone 6. The automated monitoring system also includes a regional monitoring and display center 7, and the output of the intelligent decision-making system 4 is connected to the regional monitoring and display center 7.

[0090] The image acquisition system 1 includes a camera, which is positioned above the secondary sedimentation tank. The online instrumentation system 3 includes a flow meter, a sludge level meter, an online turbidity meter, and a sludge concentration meter. The electrical control equipment system 5 includes a pump, a blower, valves, a sludge scraper, a scum remover, and a sprinkler.

[0091] This embodiment also provides a control method for a secondary sedimentation tank in wastewater treatment. The control method employs the aforementioned automated monitoring system. Taking an abnormal state of sludge floating as an example, the control method is as follows: Figure 2 As shown, it includes the following steps:

[0092] (1) The image acquisition system 1 is used to acquire images of the secondary sedimentation tank to obtain image information of the secondary sedimentation tank. The image information is output to the image model database 2 and AI automatic recognition technology is used for recognition to obtain monitoring information. The monitoring information includes increased turbidity in the clear water area and floating blocky sludge on the liquid surface. The monitoring information is transmitted to the intelligent decision-making system 4.

[0093] (2) The operating parameters of the secondary sedimentation tank are collected by the online instrument system 3, and the operating parameters of the secondary sedimentation tank are obtained and transmitted to the intelligent decision-making system 4.

[0094] (3) The monitoring information obtained in step (1) and the operating parameters obtained in step (2) are analyzed in the intelligent decision-making system 4 to determine that the operating status of the secondary sedimentation tank is abnormal, and the abnormal status is sludge floating. An alarm is triggered and the intelligent decision-making system 4 is used for regulation. At the same time, the intelligent decision-making system 4 will also display the problem and the processing progress in the regional monitoring display center 7. The regulation method is as follows:

[0095] Calculate the sludge age of the AAO process in the secondary sedimentation tank and record it as θ. If θ > 22 days, it can be determined that the sludge age is too long. Then the intelligent decision system 4 will send the control command to the sludge scraper of the electrical control equipment system 5 to clean the bottom of the secondary sedimentation tank and discharge sludge, increase the amount of sludge discharged, and adjust the sludge age.

[0096] If 10≤θ≤22 days, the sludge level parameter in the operating parameters will be retrieved simultaneously. If the sludge level parameter is greater than the set value (i.e., the highest line of the buffer zone), it is determined that the sludge is not discharged in time and nitrification occurs at the bottom, causing the sludge to float. The intelligent decision system 4 will send the control command to the sludge scraper of the electrical control equipment system 5 to clean the bottom of the secondary sedimentation tank and discharge sludge, increase the amount of sludge discharged, and adjust the sludge age until the sludge level parameter of the secondary sedimentation tank reaches below the highest line of the buffer zone.

[0097] If 10≤θ≤22 days, and the sludge level parameter in the operating parameters is ≤ set value, the aeration rate of the biological treatment tank is calculated by retrieving the parameters of the aeration blower in the biological treatment tank. It is then determined whether the sludge floats due to excessive aeration. If the aeration rate of the biological treatment tank is > 1.5 times the set value, the intelligent decision-making system 4 will send the control command to the blower of the electrical control equipment system 5 to reduce the air supply of the blower and adjust the aeration rate until the sludge level parameter of the secondary sedimentation tank reaches below the highest line of the buffer zone.

[0098] If 10≤θ≤22 days, and the sludge level parameter in the operating parameters is ≤ set value, and the aeration rate of the biological treatment tank is ≤ 1.5 times the set value, then the intelligent decision-making system 4 will send the control instructions to the maintenance mobile phone 6 for maintenance personnel to investigate.

[0099] The applicant declares that the above description is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Those skilled in the art should understand that any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention fall within the protection and disclosure scope of the present invention.

Claims

1. A method for controlling a secondary sedimentation tank in wastewater treatment, characterized in that, The control method employs an automated monitoring system, which includes: an image acquisition system, an image model database, an intelligent decision-making system, an online instrument system, an electrical control equipment system, and a mobile maintenance terminal. The output of the image acquisition system is connected to an image model database; the image acquisition system includes a camera. The output of the image model database is connected to the intelligent decision-making system; The output of the online instrumentation system is connected to the intelligent decision-making system; the online instrumentation system includes any one or a combination of at least two of the following: flow meter, sludge level meter, online turbidity meter, or sludge concentration meter. The output of the intelligent decision-making system is connected to the electrical control equipment system and the operation and maintenance mobile terminal, respectively; the electrical control equipment system includes any one or a combination of at least two of the following: pump, fan, valve, sludge scraper, scum machine, or sprinkler. The control method includes the following steps: (1) An image acquisition system is used to acquire images of the secondary sedimentation tank to obtain image information of the secondary sedimentation tank. The image information is output to an image model database and AI automatic recognition technology is used for recognition to obtain monitoring information. The monitoring information is then transmitted to an intelligent decision-making system. The image acquisition system uses a camera to acquire images of the secondary sedimentation tank. The AI ​​automatic recognition technology uses a convolutional neural network structure. The training method of the convolutional neural network structure includes positive and negative reinforcement training learning method. (2) The operating parameters of the secondary sedimentation tank are collected using an online instrumentation system, and the operating parameters of the secondary sedimentation tank are transmitted to the intelligent decision-making system. (3) Analyze the monitoring information obtained in step (1) and the operating parameters obtained in step (2) in the intelligent decision-making system to determine the operating status of the secondary sedimentation tank; If the secondary sedimentation tank is in normal operating condition, monitoring will continue through the control methods in steps (1) to (3). If the secondary sedimentation tank is in an abnormal state, the intelligent decision-making system will adjust the system. The adjustment methods include: If the monitoring information is abnormal, the image information described in step (1) is retrieved. If the image information is not abnormal, the problem is determined by calculation, an alarm is triggered, and the intelligent decision-making system is used for regulation. If the monitoring information is abnormal, the operating parameters are retrieved. If the operating parameters are abnormal, the problem is determined by calculation, an alarm is triggered, and the intelligent decision-making system is used for control. If the operating parameters are abnormal but the monitoring information is normal, the problem will be determined by calculation, an alarm will be triggered, and the intelligent decision-making system will be used for control. When the abnormal state is characterized by increased foam, the intelligent decision-making system adjusts the system as follows: Calculate the percentage of foam coverage area in the secondary sedimentation tank relative to the liquid surface area of ​​the secondary sedimentation tank, and record this percentage as A; if A > 30%, the intelligent decision-making system sends an adjustment command to the sprinkler in the electrical control equipment system for spraying; if A is calculated after spraying and A ≤ 30%, spraying is stopped; if A is calculated after spraying and A > 30%, the intelligent decision-making system issues an alarm and sends the adjustment information to the maintenance mobile terminal. When the abnormal state is abnormal floating objects, the method for the intelligent decision-making system to make adjustments includes: judging based on monitoring information; if the abnormal floating objects are known floating objects, the intelligent decision-making system will send adjustment instructions to the scum machine and / or sludge scraper of the electrical control equipment system to remove the floating objects; if the abnormal floating objects are unknown floating objects, the intelligent decision-making system will send adjustment information to the operation and maintenance mobile terminal. When the abnormal state is an increase in algae, the method for the intelligent decision-making system to regulate includes: calculating the NH3-N value of the influent to the secondary sedimentation tank; if the NH3-N value is greater than twice the set value, the intelligent decision-making system will issue an alarm and send the regulation command to the fan of the electrical control equipment system to increase the air supply of the fan in the biological treatment tank, and send the regulation information to the operation and maintenance mobile terminal.

2. The control method according to claim 1, characterized in that, The camera is positioned above the secondary sedimentation tank.

3. The control method according to claim 1, characterized in that, The flow meter is installed in the inlet channel of the secondary sedimentation tank.

4. The control method according to claim 1, characterized in that, The sludge level gauge is installed inside the secondary sedimentation tank or in the sludge hopper of the secondary sedimentation tank.

5. The control method according to claim 1, characterized in that, The online turbidity meter is installed in the effluent channel of the secondary sedimentation tank.

6. The control method according to claim 1, characterized in that, The sludge concentration meter is installed inside the sludge return pipe of the secondary sedimentation tank.

7. The control method according to claim 1, characterized in that, The valve includes any one or a combination of at least two of the following: an inlet valve, an outlet valve, or a drain valve.

8. The control method according to claim 1, characterized in that, The automated monitoring system also includes a regional monitoring and display center.

9. The control method according to claim 8, characterized in that, The output of the intelligent decision-making system is connected to the regional monitoring and display center.

10. The control method according to claim 1, characterized in that, The mobile terminal for operation and maintenance includes an operation and maintenance mobile phone.

11. The control method according to claim 1, characterized in that, When the abnormal state described in step (3) is sludge floating, the method for the intelligent decision-making system to regulate includes: calculating the sludge age of the AAO method in the secondary sedimentation tank and recording it as... ; like If the time exceeds 22 days, the intelligent decision-making system will send control instructions to the sludge scraper of the electrical control equipment system to clean the bottom of the secondary sedimentation tank and discharge sludge. If 10≤ If the sludge level parameter in the operating parameters is greater than the set value, the intelligent decision-making system will send the control command to the sludge scraper of the electrical control equipment system to clean the bottom of the secondary sedimentation tank and discharge sludge until the sludge level parameter in the secondary sedimentation tank reaches below the set value. If 10≤ If the sludge level parameter in the operating parameters is less than or equal to the set value, the aeration rate of the biological treatment tank is calculated by retrieving the parameters of the aeration blower in the biological treatment tank. If the aeration rate of the biological treatment tank is greater than 1.5 times the set value, the intelligent decision-making system will send the control command to the blower in the electrical control equipment system to reduce the air supply of the blower until the sludge level parameter in the secondary sedimentation tank reaches below the set value. If 10≤ If the time is ≤22 days, and the sludge level parameter in the operating parameters is ≤ the set value, and the aeration rate of the biological treatment tank is ≤1.5 times the set value, then the intelligent decision-making system will send the control instructions to the operation and maintenance mobile terminal.

12. The control method according to claim 1, characterized in that, When the abnormal state described in step (3) is overflow, the method by which the intelligent decision-making system performs regulation includes: If the liquid level parameter of the secondary sedimentation tank in the operating parameters is greater than the set value, the intelligent decision-making system will send the control command to the inlet valve and outlet valve of the electrical control equipment system, adjust the opening of the inlet valve to decrease by 30% and the outlet valve to be fully open until the liquid level returns to normal. If the liquid level cannot be restored to normal, the intelligent decision-making system will issue an alarm and send control instructions to the vent valve of the electrical control equipment system. The vent valve will then be opened, and the control information will be sent to the operation and maintenance mobile terminal.

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