Multifunctional sludge treatment system for sewage treatment plant

Abstract

The invention discloses a multifunctional sludge treatment system for a sewage treatment plant, and belongs to the technical field of sewage treatment. The sludge treatment recycling unit is connected with the sewage treatment tank and is used for carrying out recycling treatment on the residual sludge of the sewage treatment tank; the sensing unit comprises a plurality of sensors arranged in the sewage treatment tank and is used for acquiring sludge characteristic data in the sewage treatment tank in real time; and the prediction control unit is connected with the sensing unit and the sludge treatment recycling unit, and the prediction control unit predicts the degradation trend of the sludge property according to the real-time data and the historical operation data acquired by the sensing unit and controls the sludge treatment recycling unit to trigger or switch different operation modes. Sludge characteristic data are collected in real time through the sensing unit, the degradation trend of the sludge property can be accurately predicted based on real-time data and historical operation data, and conversion from passive response to active pre-judgment is achieved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of sewage treatment, more particularly to a multifunctional sludge treatment system for sewage treatment plants. BACKGROUND

[0002] At present, the common sludge treatment methods for sewage treatment plants include anaerobic digestion, dewatering landfill, incineration, composting, etc., among which the resource disposal technologies such as biogas production, sludge carbonization and phosphorus recovery gradually become the industry development trend because they can realize the synergistic reduction, harmlessness and resource of sludge.

[0003] The existing sludge treatment system generally has problems such as single function, low intelligentization, poor adaptability of treatment process to sludge properties, etc. The control of the existing sludge treatment system mostly depends on manual experience or simple feedback control, and it is difficult to realize the collaborative optimization of the whole sludge treatment process. For example, in the sludge discharge link, a unified sludge discharge mode is usually adopted, which cannot selectively discharge sludge according to the differences in sludge population activity and settling performance, resulting in a decrease in sludge activity and a decrease in treatment efficiency; in the medicament dosing and sludge reflux links, it is also impossible to adjust in advance in combination with the changes in sludge properties, and only passive adjustment can be made after problems occur, which has a lag response and poor treatment effect. At the same time, the sewage treatment and sludge resource disposal units in the existing system are usually independent of each other, lacking effective data intercommunication and collaborative control mechanism, resulting in poor overall performance of the whole treatment process and difficulty in realizing efficient balance of pollutant removal and resource recovery. SUMMARY

[0004] In order to solve the above problems, the present application adopts the following technical scheme: A multifunctional sludge treatment system for a sewage treatment plant, comprising: a sewage treatment tank for biological treatment of sewage and separation of sludge and water; a sludge treatment and resource disposal unit, which is connected with the sewage treatment tank to dispose of the residual sludge in the sewage treatment tank; a sensing unit, which comprises a plurality of sensors arranged in the sewage treatment tank to collect real-time sludge property data in the sewage treatment tank; a predictive control unit, which is connected with the sensing unit and the sludge treatment and resource disposal unit, and predicts the deterioration trend of sludge properties according to the real-time data and historical operation data collected by the sensing unit, and controls the sludge treatment and resource disposal unit to trigger or switch different operation modes.

[0005] Further, the sludge property data at least includes sludge concentration, sludge layer thickness, sludge settling ratio SVI, sludge floc image and ratio of mixed liquor volatile suspended solid concentration to mixed liquor suspended solid concentration.

[0006] Furthermore, the prediction control unit includes: The prediction module has a built-in trained machine learning model, which predicts the deterioration trend of sludge properties based on real-time data and historical operating data collected by multiple sensors. The control module is connected to the prediction module and the sludge treatment and resource utilization unit. The control module sends control signals to the sludge treatment and resource utilization unit according to the prediction results of the prediction module and the preset strategy to trigger or switch different operating modes.

[0007] Furthermore, the sludge treatment and resource recovery unit includes at least an anaerobic digestion module and at least one other resource recovery module.

[0008] Furthermore, the sludge treatment and resource utilization unit also includes a path selection module, which is connected to the control module; wherein, the path selection module automatically selects and initiates the optimal resource utilization disposal path based on the received residual sludge characteristic analysis results.

[0009] Furthermore, the path includes: The biogas is produced through the anaerobic digestion module. Alternatively, at least one of the following can be used for sludge carbonization, phosphorus recovery, or building material disposal through the other resource utilization modules:

[0010] Furthermore, the operating modes of the sludge treatment and resource utilization unit include at least: Unified collection and return mode: used for normal stable operation; Selective sludge discharge optimization mode: Based on the predicted changes in sludge settling properties, selectively discharge the edge sludge with the worst settling properties or the central sludge with the worst activity to optimize the sludge population within the system. Resource-based pretreatment mode: Based on the prediction and analysis of the properties of the remaining sludge, the operating parameters of the integrated treatment unit are adjusted, and raw sludge with more suitable properties is provided.

[0011] Furthermore, the wastewater treatment tank is equipped with a biochemical flocculation zone, a sedimentation zone, a sludge return zone, and a sludge residue zone for biological treatment and sludge-water separation of wastewater, and the zones are connected by controlled valves.

[0012] Furthermore, it also includes a dosing module, which is connected to the prediction module and adds one of the flocculants or microbial growth promoters to the biochemical flocculation zone or sludge return zone according to the instructions output by the prediction module.

[0013] Compared with the prior art, the present invention has the following beneficial effects: This invention collects sludge characteristic data in real time through a sensing unit, and the predictive control unit can accurately predict the deterioration trend of sludge properties based on real-time data and historical operating data, realizing the transformation from "passive response" to "proactive prediction".

[0014] The predictive control unit can trigger control measures in advance, such as adjusting the operation mode of the sludge treatment and resource utilization unit through the control module, effectively avoiding problems such as sludge expansion and deterioration of settling performance, ensuring the stable operation of the sewage treatment pond and the sludge treatment and resource utilization unit, and reducing the system failure rate. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the structure of the multifunctional sludge treatment system for wastewater treatment plants provided by the present invention; The system includes: 1. Wastewater treatment tank; 11. Biochemical flocculation zone; 12. Sedimentation zone; 13. Sludge return zone; 14. Sludge residue zone; 15. Controlled valve; 2. Sensing unit; 3. Predictive control unit; 31. Prediction module; 32. Control module; 4. Training module; 5. Dosing module; 6. Path selection module; 7. Sludge treatment resource utilization unit; 71. Anaerobic digestion module; 72. Other resource utilization modules. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0018] Example 1

[0019] refer to Figure 1 A multi-functional sludge treatment system for a wastewater treatment plant, comprising: Wastewater treatment pond 1, which performs biological treatment and sludge-water separation of wastewater; The sludge treatment and resource utilization unit 7 is connected to the sewage treatment pond 1 to carry out resource utilization treatment of the remaining sludge in the sewage treatment pond 1. Sensing unit 2 includes multiple sensors installed in wastewater treatment tank 1 to collect sludge characteristic data in wastewater treatment tank 1 in real time. The predictive control unit 3 is connected to the sensing unit 2 and the sludge treatment and resource utilization unit 7. Based on the real-time data and historical operating data collected by the sensing unit 2, the predictive control unit 3 predicts the deterioration trend of sludge properties and controls the sludge treatment and resource utilization unit 7 to trigger or switch different operating modes.

[0020] In this embodiment, the sludge characteristic data includes at least sludge concentration, sludge layer thickness, sludge settling ratio (SVI), sludge floc image, and the ratio of volatile suspended solids concentration to suspended solids concentration in the mixed liquor.

[0021] Specifically, the array of multiple sensors includes an online sludge concentration meter, a sludge level gauge, a laser particle size analyzer, an image acquisition camera, and an online MLVSS analyzer.

[0022] In this embodiment, the prediction control unit 3 includes: The prediction module 31 has a built-in trained machine learning model. The machine learning model predicts the deterioration trend of sludge properties based on real-time data and historical operating data collected by multiple sensors. The control module 32 is connected to the prediction module 31 and the sludge treatment and resource utilization unit 7. The control module 32 sends control signals to the sludge treatment and resource utilization unit 7 according to the prediction results of the prediction module 31 and the preset strategy to trigger or switch different operating modes.

[0023] Specifically, the machine learning model is based on a convolutional neural network and processes and analyzes sludge characteristic data.

[0024] For example, machine learning models analyze real-time images of sludge flocs to determine whether the floc structure is loose; simultaneously, they analyze recent SVI time-series data to predict the SVI change curve for the next 6 hours. If the prediction shows that the SVI will rise rapidly and exceed a set threshold (e.g., 150 mL / g), then a risk of sludge bulking is determined.

[0025] In this embodiment, the convolutional neural network includes an input layer, convolutional layers, and pooling layers. The number of convolutional layers is 16, and the kernel size is 3. A convolutional layer of 3 and a max-pooling layer of 5.

[0026] The multifunctional sludge treatment system for wastewater treatment plants provided in this embodiment also includes a training module 4, which is connected to the prediction module 31 and is used to train the prediction module 31. The training module 4 is equipped with training samples, which include 80% training samples and 20% test training samples.

[0027] In this embodiment, the sludge treatment and resource utilization unit 7 includes at least an anaerobic digestion module 71 and at least one other resource utilization module 72.

[0028] In this embodiment, the sludge treatment and resource utilization unit further includes a path selection module 6, which is connected to the control module 32. The path selection module 6 automatically selects and initiates the optimal resource utilization disposal path based on the received residual sludge characteristic analysis results.

[0029] In this embodiment, the path includes: Biogas is produced through anaerobic digestion module 71; Alternatively, at least one of the following can be disposed of through other resource utilization modules 72: sludge carbonization, phosphorus recovery, or building material processing.

[0030] In this embodiment, the operating modes of the sludge treatment and resource utilization unit 7 include at least: Unified collection and return mode: used for normal stable operation; Selective sludge discharge optimization mode: Based on the predicted changes in sludge settling properties, selectively discharge the edge sludge with the worst settling properties or the central sludge with the worst activity to optimize the sludge population within the system. Resource-based pretreatment mode: Based on the prediction and analysis of the properties of the remaining sludge, the operating parameters of the integrated treatment unit are adjusted, and raw sludge with more suitable properties is provided.

[0031] In this embodiment, the sewage treatment tank 1 is equipped with a biochemical flocculation zone 11, a sedimentation zone 12, a sludge return zone 13, and a sludge residue zone 14 for biological treatment and sludge-water separation of sewage. The zones are connected by a controlled valve 15.

[0032] The multifunctional sludge treatment system for wastewater treatment plants provided in this embodiment also includes a dosing module 5, which is connected to the prediction module 31 and adds one of flocculants or microbial growth promoters to the biochemical flocculation zone 11 or the sludge return zone 13 according to the instructions output by the prediction module 31.

[0033] Specifically, the control module 32 automatically triggers different operating modes based on the prediction results of the prediction module 31.

[0034] For example, when it is predicted that the sludge settling properties will deteriorate, the "selective discharge of edge sludge" mode will be activated in advance; when it is predicted that the sludge activity (MLVSS / MLSS) will decrease, the "selective discharge of center sludge" mode will be activated in advance or the intelligent dosing module 5 will be linked to add growth promoters.

[0035] The prediction module 31 provides a report on the characteristics of the remaining sludge (such as organic matter content, calorific value, heavy metal content, and phosphorus content). Through the built-in multi-objective decision-making model, it automatically selects and initiates the optimal resource utilization path, such as biogas production, biochar preparation, phosphorus recovery, or building material preparation.

[0036] The multi-functional sludge treatment system for wastewater treatment plants provided in this embodiment realizes flexible switching of multiple resource recovery paths, improving resource recovery efficiency and economy. The sludge treatment resource recovery unit 7 integrates the anaerobic digestion module 71 and at least one other resource recovery module 72 (such as sludge carbonization, phosphorus recovery, and building material modules), and works in coordination with the control module 32 through the path selection module 6. It can automatically select the optimal resource recovery disposal path based on the sludge property analysis results output by the predictive control unit 3.

[0037] For example, when a high level of volatile organic compounds (VOCs) is predicted in the sludge, the anaerobic digestion module 71 is activated first to produce biogas, achieving energy recovery. When the phosphorus content in the sludge is high, the system switches to the phosphorus recovery module to enhance resource recovery value. When the sludge properties are not suitable for direct resource utilization, the operating parameters are adjusted through a resource utilization pathway pretreatment mode to optimize the properties of the raw sludge. This multi-path flexible switching design maximizes the exploitation of the resource potential in the sludge, avoids the limitations of a single resource utilization pathway, and improves the overall economic efficiency and sustainability of the system.

[0038] The technical solutions of the present invention have been fully described above. It should be noted that the specific embodiments of the present invention are not limited to the above description. All technical solutions formed by those skilled in the art based on the spirit and essence of the present invention by adopting equivalent transformations or equivalent transformations in terms of structure, method or function fall within the protection scope of the present invention.

Claims

1. A multifunctional sludge treatment system for a wastewater treatment plant, characterized in that, include: Wastewater treatment ponds that perform biological treatment and sludge-water separation of wastewater; A sludge treatment and resource utilization unit is connected to the sewage treatment pond to perform resource utilization treatment on the remaining sludge in the sewage treatment pond. The sensing unit includes multiple sensors installed in the wastewater treatment tank to collect sludge characteristic data in the wastewater treatment tank in real time. The predictive control unit is connected to the sensing unit and the sludge treatment and resource recovery unit. Based on the real-time data and historical operating data collected by the sensing unit, the predictive control unit predicts the deterioration trend of sludge properties and controls the sludge treatment and resource recovery unit to trigger or switch different operating modes.

2. The multifunctional sludge treatment system for wastewater treatment plants according to claim 1, characterized in that, The sludge characteristic data includes at least sludge concentration, sludge layer thickness, sludge settling ratio (SVI), sludge floc images, and the ratio of volatile suspended solids concentration in the mixed liquor to the total suspended solids concentration in the mixed liquor.

3. The multifunctional sludge treatment system for wastewater treatment plants according to claim 1, characterized in that, The prediction control unit includes: The prediction module has a built-in trained machine learning model, which predicts the deterioration trend of sludge properties based on real-time data and historical operating data collected by multiple sensors. The control module is connected to the prediction module and the sludge treatment and resource utilization unit. The control module sends control signals to the sludge treatment and resource utilization unit according to the prediction results of the prediction module and the preset strategy to trigger or switch different operating modes.

4. The multifunctional sludge treatment system for wastewater treatment plants according to claim 3, characterized in that, The sludge treatment and resource recovery unit includes at least an anaerobic digestion module and at least one other resource recovery module.

5. The multifunctional sludge treatment system for wastewater treatment plants according to claim 4, characterized in that, The sludge treatment and resource utilization unit further includes a path selection module, which is connected to the control module; wherein, the path selection module automatically selects and initiates the optimal resource utilization disposal path based on the received residual sludge characteristic analysis results.

6. The multifunctional sludge treatment system for wastewater treatment plants according to claim 5, characterized in that, The path includes: The biogas is produced through the anaerobic digestion module. Alternatively, at least one of the following can be used for sludge carbonization, phosphorus recovery, or building material disposal through the other resource utilization modules:

7. The multifunctional sludge treatment system for wastewater treatment plants according to claim 6, characterized in that, The operating modes of the sludge treatment and resource utilization unit include at least: Unified collection and return mode: used for normal stable operation; Selective sludge discharge optimization mode: Based on the predicted changes in sludge settling properties, selectively discharge the edge sludge with the worst settling properties or the central sludge with the worst activity to optimize the sludge population within the system. Resource-based pretreatment mode: Based on the prediction and analysis of the properties of the remaining sludge, the operating parameters of the integrated treatment unit are adjusted, and raw sludge with more suitable properties is provided.

8. The multifunctional sludge treatment system for wastewater treatment plants according to claim 3, characterized in that, The wastewater treatment tank is equipped with a biochemical flocculation zone, a sedimentation zone, a sludge return zone, and a sludge residue zone for biological treatment and sludge-water separation of wastewater. The zones are connected by controlled valves.

9. The multifunctional sludge treatment system for wastewater treatment plants according to claim 8, characterized in that, It also includes a dosing module, which is connected to the prediction module and adds one of the flocculants or microbial growth promoters to the biochemical flocculation zone or sludge return zone according to the instructions output by the prediction module.

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