Control method and system for ventilation and deodorization of sewage treatment plant based on minimum pressure gradient

Abstract

The present application relates to the technical field of ventilation and deodorization control, and particularly relates to a sewage treatment plant ventilation and deodorization control method and system based on minimum pressure gradient. The method comprises the following steps: obtaining a sewage treatment plant space distribution map, wherein the sewage treatment plant space distribution map contains space position information of multiple process areas and their interfaces; deploying multiple types of sensors on the sewage treatment plant according to the sewage treatment plant space distribution map to obtain sensor network topology data; collecting air temperature, humidity content, carbon dioxide concentration, characteristic pollutant concentration and pressure values on both sides of any interface in real time based on the sensor network topology data to generate a sewage treatment plant environmental parameter flow; and calculating the minimum pressure gradient required for the corresponding interface to inhibit odor diffusion based on the sewage treatment plant environmental parameter flow and a preset mass transfer process theoretical model. The present application solves the problems of high energy consumption and low efficiency of the sewage treatment plant ventilation and odor treatment system.

Description

Technical Field

[0001] This invention relates to the field of ventilation and deodorization control technology, and in particular to a ventilation and deodorization control method and system for wastewater treatment plants based on minimum pressure gradient. Background Technology

[0002] Compared to conventional surface wastewater treatment facilities, wastewater treatment facilities are operated and maintained in enclosed spaces. Odor pollutants emitted during wastewater treatment are prone to accumulation and difficult to dilute. Therefore, it is necessary to set up targeted ventilation and odor control systems to ensure that the air quality inside the wastewater treatment facilities meets relevant regulations and is appropriately improved, so as to ensure that the exhaust gas emitted after treatment does not cause secondary pollution to the surrounding environment and residents.

[0003] In recent years, surface-mounted wastewater treatment plants have gradually become the inevitable choice for more and more towns and cities. Consequently, the investment and operating costs for odor control and ventilation systems are significantly higher compared to surface-mounted wastewater treatment plants. With the increasing adoption of wastewater treatment plants in megacities and super-large cities across China, the number has exceeded 100, with a total wastewater treatment capacity exceeding 700 cubic meters. 3 On a daily basis, the energy consumption of the ventilation and odor control system in wastewater treatment has increased significantly to 15% to 25% of the total energy consumption, and in some cases even as high as 40%. While ensuring that the internal and external environment of wastewater treatment plants meets the standards stipulated by the state, provinces and cities, how to optimize the ventilation and odor control system of wastewater treatment plants, reduce energy consumption and improve treatment efficiency has become a key issue that urgently needs to be addressed. Summary of the Invention

[0004] Therefore, the present invention needs to provide a ventilation and deodorization control method and system for sewage treatment plants based on minimum pressure gradient, in order to solve at least one of the above-mentioned technical problems.

[0005] To achieve the above objectives, a method for controlling ventilation and odor removal in wastewater treatment plants based on minimum pressure gradient includes the following steps:

[0006] Step S1: Obtain the spatial distribution map of the wastewater treatment plant. The spatial distribution map of the wastewater treatment plant includes the spatial location information of multiple process areas and their interfaces. The process areas include personnel operation areas and closed wastewater treatment tanks.

[0007] Step S2: Deploy multiple types of sensors at the wastewater treatment plant based on the spatial distribution map of the wastewater treatment plant to obtain sensor network topology data; Based on the sensor network topology data, collect air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure values ​​on both sides of any interface in real time to generate environmental parameter streams for the wastewater treatment plant;

[0008] Step S3: Calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface based on the environmental parameters of the treatment plant and the preset mass transfer process theoretical model;

[0009] Step S4: Determine the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume at the corresponding interface based on the minimum pressure gradient;

[0010] Step S5: Adjust the ion supply air system, exhaust air system and deodorization system according to the minimum total supply air volume, minimum total exhaust air volume and minimum total deodorization air volume respectively, and perform dynamic closed-loop feedback on each ion supply air system, exhaust air system and deodorization system to ensure that the pressure gradient on both sides of any interface gap is not less than the minimum pressure gradient required to suppress the diffusion of pollutants.

[0011] This invention addresses the problem of odor accumulation and difficulty in dilution within the enclosed spaces of wastewater treatment plants by employing a pressure gradient-based ventilation and deodorization control method. It utilizes a multi-type sensor network to collect real-time data on air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration, and pressure at both sides of the interface. Combined with a mass transfer process theoretical model, the minimum pressure gradient required to suppress odor diffusion is precisely calculated. Based on this, the airflow of the ion supply system, exhaust system, and deodorization system is dynamically adjusted to ensure that the pressure gradient on both sides of each interface gap remains within the minimum pressure gradient range. This effectively suppresses odor diffusion, significantly improves the air quality inside the wastewater treatment plant, and avoids secondary pollution to the surrounding environment. Simultaneously, through a dynamic closed-loop feedback mechanism, the fan frequency and valve opening are adjusted promptly based on real-time monitoring data to optimize the ventilation and deodorization process, reduce energy consumption of the ventilation and odor treatment system, and improve system operating efficiency, thus solving the problems of high energy consumption and low efficiency in wastewater treatment plant ventilation and odor treatment systems.

[0012] Preferably, step S1 includes the following steps:

[0013] Step S11: Obtain the building information model of the wastewater treatment plant;

[0014] Step S12: Perform process zoning analysis on the building information model of the wastewater treatment plant to obtain the topology data of the process area;

[0015] Step S13: Identify the interfaces between adjacent regions based on the process area topology data to obtain the set of interface location coordinates;

[0016] Step S14: Based on the interface location coordinate set and process area topology data, perform spatial topology modeling to obtain a wastewater treatment plant spatial distribution map, which includes the spatial location information of multiple process areas and their interfaces.

[0017] Preferably, step S2 includes the following steps:

[0018] Step S21: Based on the coordinate set of the interface positions in the spatial distribution map of the sewage treatment plant, spatially locate the sensor deployment points to obtain the coordinate set of the sensor deployment points;

[0019] Step S22: Based on the sensor deployment point coordinate set and the preset sensor type configuration table, deploy multiple types of sensor nodes on both sides of each interface to obtain the sensor node configuration table. The multiple types of sensors include temperature and humidity sensors, carbon dioxide concentration sensors, characteristic pollutant concentration sensors and pressure sensors.

[0020] Step S23: Construct communication links between sensor nodes according to the sensor node configuration table to obtain sensor network topology data;

[0021] Step S24: Based on the sensor network topology data, collect in real time the air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure value on both sides of any interface to generate the original wastewater treatment plant environmental parameter stream;

[0022] Step S25: Timestamp align the original wastewater treatment plant environmental parameter stream to obtain the wastewater treatment plant environmental parameter stream.

[0023] Preferably, step S3 includes the following steps:

[0024] Step S31: Calculate the air temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference on both sides of the interface based on the air temperature, humidity, carbon dioxide concentration, and characteristic pollutant concentration on both sides of the interface, respectively.

[0025] Step S32: Based on the preset mass transfer process theoretical model, calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface according to the air temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference. Specifically, the preset mass transfer process theoretical model is as follows:

[0026] ;

[0027] in, The difference in carbon dioxide concentration and the difference in characteristic pollutant concentration are represented by the two sides of the interface. The temperature difference of the air on both sides of the interface. The difference in air humidity on both sides of the interface. The odor mass transfer coefficient is... The mass transfer coefficient is the temperature mass transfer coefficient. Moisture content mass transfer coefficient.

[0028] Preferably, in step S4, the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume of the corresponding interface are determined based on the minimum pressure gradient. The specific calculation formulas are as follows:

[0029] ;

[0030] ;

[0031] ;

[0032] in, This is the minimum total air supply volume. This is the minimum total exhaust air volume. To minimize the total air volume required for deodorization, This is the weighting coefficient for the air supply system. This is the weighting coefficient for the exhaust system. This represents the weighting coefficient for the deodorization system.

[0033] Preferably, in step S5, the ion supply system, exhaust system, and deodorization system are adjusted according to the minimum total supply air volume, the minimum total exhaust air volume, and the minimum total deodorization air volume, respectively, including:

[0034] The minimum total supply air volume is allocated to different zones to obtain the target air volume allocation table for each air supply zone.

[0035] Based on the target air volume distribution table for each air supply area, the frequency of each variable frequency fan in the ion air supply system is adjusted to obtain the frequency adjustment parameters of the air supply fan.

[0036] The opening of each terminal valve in the ion air supply system is adjusted according to the frequency adjustment parameters of the air supply fan and the target air volume distribution table of each air supply area to obtain the air supply valve opening adjustment parameters.

[0037] The minimum total exhaust air volume is allocated to different zones to obtain the target air volume allocation table for each exhaust zone.

[0038] Based on the target air volume distribution table for each exhaust area, the frequency of each exhaust variable frequency fan in the exhaust system is adjusted to obtain the exhaust fan frequency adjustment parameters.

[0039] The opening of each terminal valve in the exhaust system is adjusted according to the exhaust fan frequency adjustment parameters and the target air volume distribution table for each exhaust area to obtain the exhaust valve opening adjustment parameters.

[0040] The minimum total deodorization air volume is allocated to different zones to obtain the target air volume allocation table for each deodorization zone.

[0041] Based on the target air volume allocation table for each deodorization zone, the frequency of each deodorization variable frequency fan in the deodorization system is adjusted to obtain the frequency adjustment parameters of the deodorization fan.

[0042] Based on the frequency adjustment parameters of the deodorizing fan and the target air volume distribution table for each deodorizing area, the opening degree of each terminal valve in the deodorizing system is adjusted to obtain the deodorizing valve opening degree adjustment parameters.

[0043] Preferably, it further includes:

[0044] Based on the frequency adjustment parameters of the air supply fan and the opening adjustment parameters of the air supply valve, a coordinated control command for the air supply system is generated. Based on the coordinated control command for the air supply system, closed-loop synchronous adjustment is performed on each variable frequency air supply fan and each terminal valve in the ion air supply system.

[0045] Based on the frequency adjustment parameters of the exhaust fan and the opening adjustment parameters of the exhaust valve, a coordinated control command for the exhaust system is generated. Based on the coordinated control command for the exhaust system, closed-loop synchronous adjustment is performed on each exhaust variable frequency fan and each terminal valve in the exhaust system.

[0046] Based on the frequency adjustment parameters of the deodorizing fan and the opening adjustment parameters of the deodorizing valve, a coordinated control command for the deodorizing system is generated. Based on the coordinated control command for the deodorizing system, closed-loop synchronous adjustment operations are performed on each deodorizing variable frequency fan and each terminal valve in the deodorizing system.

[0047] Preferably, step S5 involves dynamic closed-loop feedback of the ion supply system, exhaust system, and deodorization system to ensure that the pressure gradient on both sides of any interface gap is within the minimum pressure gradient, including:

[0048] The wastewater treatment plant environmental parameter flow is updated at preset time intervals, and the new minimum pressure gradient of the corresponding interface is calculated based on the updated wastewater treatment plant environmental parameter flow.

[0049] The actual pressure difference at the corresponding interface is calculated based on the updated environmental parameters of the wastewater treatment plant.

[0050] When the actual pressure gradient deviates from the new minimum pressure gradient by more than the preset threshold, the fan frequency is adjusted first, and then the valve opening is adjusted.

[0051] When the concentration of characteristic pollutants in the updated environmental parameters of the wastewater treatment plant exceeds the preset safe concentration value, the supply air volume, exhaust air volume, and deodorization air volume will be controlled in stages according to the preset safety response mechanism.

[0052] Preferably, the weighting coefficients of the air supply system, exhaust system, and deodorization system are updated, and predictions are made. The fluctuation trend can be used to adjust the wind turbine frequency in advance, including:

[0053] Acquire historical environmental parameter sets and historical control parameter sets. The historical environmental parameter set includes historical temperature difference, historical humidity difference, historical carbon dioxide concentration difference, historical characteristic pollutant concentration difference, and historical pressure gradient on both sides of the interface. The historical control parameter set includes historical fan frequency, historical valve opening degree, and historical air volume.

[0054] A pre-set long short-term memory network model is trained based on historical environmental parameter sets and historical control parameter sets to obtain a wind volume-pressure gradient collaborative prediction model.

[0055] The air volume-pressure gradient collaborative prediction model is used to predict the weight parameters of the real-time collected temperature difference, humidity difference, carbon dioxide concentration difference and characteristic pollutant concentration difference, and obtain the weight coefficients of the optimized air supply system, the optimized air exhaust system and the optimized deodorization system.

[0056] The real-time collected temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference are input into the airflow-pressure gradient co-prediction model to predict the future time window. Fluctuation sequence;

[0057] Based on the optimized weighting coefficients of the air supply system, the optimized weighting coefficients of the exhaust system, and the optimized weighting coefficients of the deodorization system The fluctuation sequence is used to calculate the pre-adjustment amount of the fan frequency, and the fan frequency adjustment command is obtained.

[0058] Adjust the operating frequency of the variable frequency fans in the air supply, exhaust and deodorization systems in advance according to the fan frequency adjustment command.

[0059] Preferably, the present invention also provides a wastewater treatment plant ventilation and deodorization control system based on minimum pressure gradient, for executing the wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient as described above, the wastewater treatment plant ventilation and deodorization control system based on minimum pressure gradient comprising:

[0060] The spatial modeling module is used to obtain a spatial distribution map of the wastewater treatment plant, which includes the spatial location information of multiple process areas and their interfaces.

[0061] The environmental sensing module is used to deploy multiple types of sensors on the wastewater treatment plant according to the spatial distribution map of the wastewater treatment plant to obtain sensor network topology data; based on the sensor network topology data, it collects air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure values ​​on both sides of any interface in real time to generate environmental parameter streams for the wastewater treatment plant.

[0062] The pressure gradient calculation module is used to calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface based on the environmental parameters of the wastewater treatment plant and the preset mass transfer process theoretical model.

[0063] The air volume optimization module is used to determine the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume of the corresponding interface based on the minimum pressure gradient.

[0064] The dynamic control module is used to adjust the ion supply air system, exhaust air system and deodorization system according to the minimum total supply air volume, minimum total exhaust air volume and minimum total deodorization air volume, and to provide dynamic closed-loop feedback for each ion supply air system, exhaust air system and deodorization system, so that the pressure gradient on both sides of any interface gap is not less than the minimum pressure gradient required to suppress the diffusion of pollutants.

[0065] This invention integrates multiple functional modules to achieve intelligent and precise control of the ventilation and deodorization process in wastewater treatment plants. The spatial modeling module provides precise spatial location information of the process area and interfaces, laying the foundation for subsequent sensor deployment and ventilation / deodorization control. The environmental sensing module utilizes a multi-type sensor network to collect environmental parameters in real time, ensuring data accuracy and timeliness, and providing a reliable basis for dynamic system regulation. The pressure gradient calculation module, based on a mass transfer process theoretical model, can accurately calculate the minimum pressure gradient required to suppress odor diffusion, thus providing scientific control parameters for ventilation and deodorization. The airflow optimization module dynamically determines the airflow requirements of each system based on the minimum pressure gradient, optimizing the resource allocation for ventilation and deodorization and improving system operating efficiency. The dynamic control module, through a closed-loop feedback mechanism, adjusts the operating parameters of the supply air, exhaust air, and deodorization systems in real time, ensuring that the interface pressure gradient is always in an optimal state, effectively suppressing odor diffusion while reducing system energy consumption. Through modular design and collaborative operation, the entire system achieves efficient and energy-saving operation of ventilation and deodorization in wastewater treatment plants, significantly improving the environmental management level of wastewater treatment plants and providing strong technical support for their sustainable development. Attached Figure Description

[0066] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings:

[0067] Figure 1 A flowchart illustrating the steps of a wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient is shown in one embodiment.

[0068] Figure 2 A detailed flowchart of step S2 of one embodiment is shown.

[0069] Figure 3 A detailed flowchart of step S3 of one embodiment is shown.

[0070] Figure 4A schematic diagram of the odor flow direction between different areas in a wastewater treatment plant according to an embodiment is shown.

[0071] Figure 5 A schematic diagram of the pressure gradient design state of a wastewater treatment plant according to an embodiment is shown. Detailed Implementation

[0072] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0073] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0074] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0075] The ion air supply system, exhaust system, and deodorization system listed in the specification, claims, and drawings of this invention, as well as the various sensors, variable frequency fans, electric valves, PLCs (Programmable Logic Controllers), DCSs (Distributed Control Systems), configuration software, data analysis platforms, communication protocols, and specific models, specifications, or manufacturers referenced, are merely illustrative descriptions to facilitate understanding and implementation of this invention by those skilled in the art, and do not constitute any limitation on the scope of protection of this invention. This invention does not limit the configuration, equipment brand, model, specifications, connection method, communication protocol, control strategy, or data acquisition, processing, storage, and analysis software or hardware used in the ion air supply system, exhaust system, and deodorization system. Any technical solution that can achieve the functions described in this invention and conforms to current national, industry, or enterprise standards can be used as an equivalent substitute or combination.

[0076] In this invention, please refer to Figure 4 In a wastewater treatment plant, the pressure gradient between different process zones always points from odorless areas to areas with high odor concentrations, forming a continuous gradient of "positive pressure → slightly positive pressure → negative pressure." Specifically, odorless areas such as equipment rooms and control rooms maintain positive pressure as a source of fresh air; low-odor areas such as the operating spaces of biological treatment tanks and membrane tanks maintain slightly positive pressure; and high-odor areas such as pretreatment tanks and sludge drying workshops maintain negative pressure. This gradient ensures that airflow always flows from clean areas to contaminated areas, effectively blocking odor escape while reducing fresh air consumption, achieving the dual goals of energy saving and efficient odor removal.

[0077] To achieve the above objectives, please refer to Figures 1 to 5 This invention provides a method for controlling ventilation and odor removal in wastewater treatment plants based on minimum pressure gradient, comprising the following steps:

[0078] Step S1: Obtain the spatial distribution map of the wastewater treatment plant, which includes the spatial location information of multiple process areas and their interfaces;

[0079] Step S2: Deploy multiple types of sensors at the wastewater treatment plant based on the spatial distribution map of the wastewater treatment plant to obtain sensor network topology data; Based on the sensor network topology data, collect air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure values ​​on both sides of any interface in real time to generate environmental parameter streams for the wastewater treatment plant;

[0080] Step S3: Calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface based on the environmental parameters of the wastewater treatment plant and the preset mass transfer process theoretical model;

[0081] Step S4: Determine the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume at the corresponding interface based on the minimum pressure gradient;

[0082] Step S5: Adjust the ion supply air system, exhaust air system and deodorization system according to the minimum total supply air volume, minimum total exhaust air volume and minimum total deodorization air volume respectively, and perform dynamic closed-loop feedback on each ion supply air system, exhaust air system and deodorization system to ensure that the pressure gradient on both sides of any interface gap is not less than the minimum pressure gradient required to suppress the diffusion of pollutants.

[0083] In this invention, one embodiment can be as follows: Open the wastewater treatment plant design BIM in Autodesk Revit and set the coordinate system to CGCS2000_3_Degree_GK_Zone_38. Use a section frame to cut out the first to third floors of the wastewater treatment plant, excluding the power distribution room and rest room, and then export the DWG file. Import the file into Bentley Open Buildings Designer and use the space manager to divide it into five enclosed volumes (height) of "pretreatment tank area, biological treatment tank area, MBR membrane area, sludge drying area, and auxiliary chemical dosing area". The process category and air change rate were entered into the attributes. Then, FME Desktop was used to extract the centroid coordinates of the shared surfaces of adjacent blocks, generating 42 interface records. A WWTP_Model geodatabase was created in ArcGIS Pro, and the interfaces were generated as 0.2m radius cylindrical buffers and merged with the IFC model into a polyhedral feature class to complete the spatial distribution map. Using a Trimble S7 total station, 96 measuring points (one on each side of each interface) were placed according to the exported .dc file. Temperature and humidity sensors were installed on-site. sensor, / Sensors and differential pressure sensors were used, networked via a Phoenix ContactRadio line 433 MHz star wireless network (gateway RAD-868-IFS, RSSI > -85dBm). Data acquisition was performed by a Beckhoff CX5140 polling at 1-second intervals, pushing data to Wonderware Historian via OPC UA, and outputting the wastewater treatment plant environmental parameter stream after 60-second timestamp alignment; the model was generated using a MATLAB Production Server built-in Simulink model (…). =0.15 Pa·s·m² / mg, =2.1Pa / ℃, =1.8 Pa·s·m² / g) for data from 2024-05-20 14:03:01 ( =2.8℃, =4.2g / kg, =380ppm, The minimum pressure gradient was calculated to be 0.07 mg / m³. =-9.4Pa; at Desigo CC In version 5.2, air volume is dynamically allocated based on the principle of minimum pressure gradient priority: First, the sludge drying zone with the maximum negative pressure (pressure gradient -10Pa) is identified, and the exhaust volume is calculated based on the minimum pressure gradient (-9.4Pa) at its interface with the walkway. Then, the calculation is expanded layer by layer: the pretreatment tank area (adjacent to the sludge drying zone) calculates the supply air volume based on the air volume of the sludge drying zone and the interface pressure gradient (-6.5Pa); the biological treatment tank area (adjacent to the pretreatment tank area) inherits the air volume of the pretreatment tank area and adds its own pressure gradient (-5.2Pa) at its interface with the operating space; the MBR membrane area (adjacent to the biological treatment tank area) calculates the deodorization air volume based on the air volume of the biological treatment tank area and the membrane tank-operating space pressure gradient (-8.0Pa); the auxiliary dosing area (terminal area) integrates the air volume requirements of adjacent areas and checks the quality balance (natural air intake + mechanical supply air = natural air outlet + mechanical exhaust air). The air volume table is dynamically generated through iterative calculation (the pressure gradient is re-verified after each adjustment), and the optimized air volume is finally output: total supply air volume. (Preprocessing area) Biochemical Zone MBR area sludge area Dosing area Total exhaust volume (sludge drying area) Pre-processing area MBR area Biochemical Zone Dosing area Total deodorization (sludge area) Pre-processing area MBR area Biochemical Zone The closed-loop control consists of a dual-loop system consisting of an ABB ACH580 variable frequency fan and a Belimo LRB24A-MP electric valve: the PLC sets the frequency via MODBUS-TCP and the opening degree via PROFINET, and the Desigo CC collects the actual value every second. If the deviation is greater than ±2%, the command is automatically resent.

[0084] In one embodiment of this invention, the following steps are taken: A FARO Focus Premium laser scanner is used to perform a 3D laser scan of the wastewater treatment plant with an accuracy of ±1mm; the point cloud is imported into a Revit-generated BIM and 38 interfaces caused by equipment relocation and inspection hole deformation are re-identified; a LoRa WAN network is quickly deployed on existing cable trays, adding 64 new units. The system includes 32 differential pressure sensors, and the gateway connects to the cloud via MQTT, completing full network access within 15 minutes. Wonderware Historian extracts the most recent 30 days of operational data, removes outliers, generates a historical environmental parameter set, and aligns it with the real-time stream of newly added sensors (timestamp error <200ms). A 15-dimensional input LSTM model deployed using TensorFlow Serving is used to analyze the interface between the "biological pool" and the "biological pool operation area" for the next 30 minutes. The forecast was made to reduce the pressure from -7.8Pa to -6.5Pa. Under the premise of ensuring process safety, Desigo CC automatically adjusted the supply air weight coefficient from 0.42 to 0.38, the exhaust air weight coefficient from 0.35 to 0.32, and the deodorization weight coefficient from 0.23 to 0.20. It also reduced the supply air fan frequency from 48Hz to 43Hz, the exhaust air fan frequency from 45Hz to 41Hz, and the deodorization fan frequency from 42Hz to 38Hz.

[0085] In one embodiment of this invention, when the maintenance door on the west side of the sludge drying workshop is not fully closed after maintenance personnel have left, a SICK IME18-05B proximity switch (detection distance 5mm, PNP normally open) issues a "door not closed" alarm signal at 10:42:03 on 2024-06-13, maintaining a high level for 5 seconds; simultaneously, a proximity switch with a range of 0–30mm and repeatability accuracy installed at both the top and bottom of the door gap... The Keyence IL-1000 laser displacement sensor synchronously measured a gap width of 8.5mm, exceeding the preset design limit of 6mm. This signal was connected to the Siemens S7-1200 PLC AI module via a 4–20mA loop. The PLC immediately wrote the anomaly location number "SL-03", the gap width of 8.5mm, and a timestamp into the Wonderware Historian real-time tag. The system background script changed the access door status from "normal" to "open" in Bentley Open Buildings Designer and called the built-in fluid dynamics permeation formula (…). The recalculated additional air leakage was 600. This immediately triggers the "Level-2 Emergency" script: The script is executed via MODBUS-TCP:

[0086] The frequency of the exhaust system was increased from 40Hz to 48Hz (to enhance the negative pressure in the polluted area and compensate for air leakage).

[0087] The frequency of the air supply system was reduced from 40Hz to 35Hz (to reduce the positive pressure in the clean area and prevent airflow from overflowing).

[0088] The deodorization system frequency was increased from 35Hz to 40Hz (to accelerate the treatment of escaping odors); simultaneously, the opening of the corresponding Belimo LRB24A-MP and NMU24A-MP electric valves was increased from 80% to 90% via BAC net / IP. All actions were completed within 25 seconds. During the fan speed-up process, the PLC read the actual frequency every 500ms, and immediately performed a second correction if the deviation exceeded ±1Hz. The WonderwareDashboard refreshed the interface pressure difference and pollutant concentration curves every 10 seconds, starting to display at 10:42:08. Depend on Rapidly declining, reaching a low of 10:47:03. , Synchronous decrease The pressure gradient remained stable at the set value of -8.0 ± 0.2 Pa (the sludge drying zone maintained negative pressure). During this period, the PLC transmitted data via the MQTT client, including information such as "inspection door not closed," "SL-03 position," "gap 8.5 mm," and "compensated airflow." The JSON alarm packet for "real-time frequency of the fan" was pushed to the preset monitoring platform. Within 2 seconds, the intelligent robot pushed voice and text messages to the mobile phone of the on-duty engineer. After receiving the prompt, the on-site personnel completed the door reset at 10:54:15. The laser displacement sensor remeasured the gap as 1.2mm. After the system detected the "door closed" high-level signal, it automatically executed the frequency reduction script, gradually reducing the frequencies of the supply air, exhaust air, and deodorizing fans to 41Hz, 39Hz, and 36Hz respectively, and the valve opening to 82%. The entire emergency linkage process was completed in a closed loop within 12 minutes, and finally, the system returned to normal operating conditions.

[0089] Preferably, step S1 includes the following steps:

[0090] Step S11: Obtain the building information model of the wastewater treatment plant;

[0091] Step S12: Perform process zoning analysis on the building information model of the wastewater treatment plant to obtain the topology data of the process area;

[0092] Step S13: Identify the interfaces between adjacent regions based on the process area topology data to obtain the set of interface location coordinates;

[0093] Step S14: Based on the interface location coordinate set and process area topology data, perform spatial topology modeling to obtain a wastewater treatment plant spatial distribution map, which includes the spatial location information of multiple process areas and their interfaces.

[0094] In this embodiment, the wastewater treatment plant BIM model file is opened using Revit. The file already contains three main types: architecture, structure, and MEP (Mechanical, Electrical, and Plumbing). In the Revit Management tab, Project Information is selected, and the coordinate system is confirmed to be CGCS2000_3_Degree_GK_Zone_38. A new overall 3D view is created under the View tab and named Master_3D. In this view, the "Section Frame" function is used to trim the model to only retain the area from the first to the third basement level, excluding non-process rooms (such as electrical rooms and rest rooms). Using the Export—CAD Format—DWG function, the trimmed 3D model is exported as an AutoCAD-readable .dwg file, keeping the coordinate system unchanged. The resulting .dwg file is imported into Bentley Open Buildings Designer, and the Space Manager workflow is enabled. Create a new space category "Process Zone" in the space panel, and based on the typical zoning of wastewater treatment plants in Appendix A of the "GB 50014-2021 Code for Design of Outdoor Drainage", manually select five enclosed zones in sequence using the multi-segment command: "Pretreatment Tank Zone", "Biological Tank Zone", "MBR Membrane Zone", "Sludge Drying Zone", and "Auxiliary Chemical Dosing Zone". The height of each enclosed zone should be set according to the actual elevation from the top to the bottom of the tank. For example, the height of the "Biological Tank Zone" should be set to... After delineation, fill in the process category, design temperature, and design air change rate fields for each volume in the spatial attributes. Use the Export—IFC4.0 command to output an .ifc file, which will give you the process area topology data containing spatial ID, geometric coordinates, and attribute information. Load the generated .ifc file into FME Desktop and use IFC Reader to read the spatial geometry. Add a NeighborFinder converter to the workspace canvas, setting the maximum proximity distance to 0.05m to capture shared surfaces or adjacent spaces with gaps less than 5cm; then add Geometry Extractor to export the shared surfaces as WKT strings. Use Vertex Creator to extract the centroid coordinates (X,Y,Z) of each shared surface and write the results to the "Interface Coordinates" field. For example, three shared surfaces were detected between the biochemical pool area and the pretreatment pool area, with centroid coordinates of (-12.34,8.76,-4.50), (-12.40,8.80,-4.50), and (-12.38,8.78,-5.20), respectively. Finally, outputting an .xlsx file using Excel Writer yields the complete coordinate set of the interface location. Create a new file geodatabase in ArcGIS Pro, and within it, create a feature dataset WWTP_Model, also set to the coordinate system CGCS2000_3_Degree_GK_Zone_38. Import the interface coordinates .xlsx file obtained in step S13 using the XY Table To Point tool, selecting elevation for the Z field, to generate a point feature class Interface_Points. Using the 3DAnalyst—Construct Sight Lines tool, generate 1m long line features centered on each Interface_Point and extending towards the center point of adjacent process areas; then, use the Buffer 3D tool to create a cylindrical buffer with a 0.20m radius for the line features, forming a visualized interface block model. Load the process area IFC model (using the Import 3D Files tool) and the interface block in the Scene view, and use the Layer 3D To Feature Class tool to merge the two into a new polyhedral feature class, thereby completing the spatial topology modeling and obtaining a spatial distribution map of the wastewater treatment plant containing spatial location information of all process areas and their interfaces.

[0095] Preferably, step S2 includes the following steps:

[0096] Step S21: Based on the coordinate set of the interface positions in the spatial distribution map of the sewage treatment plant, spatially locate the sensor deployment points to obtain the coordinate set of the sensor deployment points;

[0097] Step S22: Based on the sensor deployment point coordinate set and the preset sensor type configuration table, deploy multiple types of sensor nodes on both sides of each interface to obtain the sensor node configuration table. The multiple types of sensors include temperature and humidity sensors, carbon dioxide concentration sensors, characteristic pollutant concentration sensors and pressure sensors.

[0098] Step S23: Construct communication links between sensor nodes according to the sensor node configuration table to obtain sensor network topology data;

[0099] Step S24: Based on the sensor network topology data, collect in real time the air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure value on both sides of any interface to generate the original wastewater treatment plant environmental parameter stream;

[0100] Step S25: Timestamp align the original wastewater treatment plant environmental parameter stream to obtain the wastewater treatment plant environmental parameter stream.

[0101] In this embodiment, the polyhedral feature class generated in step S14 is loaded into Autodesk NavisworksmAnage, and a new directory Interface_Points is created using the Quantification module. In the Measure tool, the Point function is used to capture the coordinates of the geometric center of each interface block, with a capture tolerance of 1cm and Snap to Face checked. The Data Tools panel is opened, and the X, Y, and Z coordinates of each point are exported as CSV format. The CSV is imported into Trimble BusinessCenter, and the coordinate system is converted to Beijing 1954 / 3-degree Gauss-Kruger zone 38 using Coordinate System m Anager, generating a .dc file that can be directly imported into a total station. On-site personnel use a Trimble S7 total station to mark each sensor deployment point on the factory wall or pool roof with spray paint according to the three-dimensional coordinates in the .dc file, thereby obtaining the sensor deployment point coordinate set. Based on the obtained sensor deployment point coordinates, open the Instrumentation library of Honeywell UniSim Design R490 and select and generate a sensor node configuration table according to the following rules: The temperature and humidity sensor selected is Honeywell C7600B1007, with a range of -20~60℃ and 0~100%RH, and an output of 4-20mA; the carbon dioxide concentration sensor selected is E+E ELEKTRONIK EE894-Modbus, with a range of 0-5000ppm and an accuracy of ±50ppm; the characteristic pollutant (ammonia, hydrogen sulfide) concentration sensor selected is Aeroqual Series 930, with an ammonia range of 0-10 ppm and a hydrogen sulfide range of 0-1ppm, and an output of RS-485; the detection accuracy for ammonia is ≤±5% in the 0-2 ppm range and ≤±3% in the 2-10 ppm range; the detection accuracy for hydrogen sulfide is ≤±5% in the 0-0.2 ppm range and ≤±3% in the 0.2-1 ppm range. The detection accuracy within the ppm range is ≤ ±3%; the pressure sensor selected is Setra 267MR, with a range of ±50Pa and an accuracy of ±0.25%. In the Uni Sim DeviceAssignment interface, each of the above sensors is bound to the deployment point coordinates on both sides of each interface, and a unique tag is generated for each sensor (e.g., AH-01A / B). -01A / B), and finally export the sensor node configuration table. Import the sensor node configuration table into Phoenix Contact Radio line wireless IO configuration software, set the communication protocol to Modbus RTU, the air rate to 250kbps, and the frequency band to 433MHz; each sensor is connected to the Radio line I / O module RAD-RS485-IFS via RS-485, and the module is then connected to the Radio line wireless module TWM-433-B to form a star topology. The gateway is RAD-868-IFS, installed in the underground plant power distribution room, and connected to the host computer via Ethernet. Use the Netility network management tool to scan and automatically generate the network topology map, confirming that the RSSI of each node is greater than -85dBm; finally, export the sensor network topology data containing fields such as MAC address, parent node, and signal strength from Netility. Deploy a Beckhoff CX5140 embedded controller after the gateway, running Twin CAT 3.1 Build 4024; configure the Modbus RTU master function block in the controller, with a polling cycle of 1s. After data from each sensor reaches the gateway via the radio line network, it enters the CX5140 via a serial-to-USB cable. The Twin CAT TF6250 Modbus RTU function block converts the raw register values ​​to engineering units and writes them to the local variable table. Trend charts are created using Twin CAT Scope View Professional to monitor temperature, humidity, and other parameters in real time. , , The system has six channels for pressure. Scope View saves the raw data stream in .csv format at a frequency of 1Hz, generating a raw wastewater treatment plant environmental parameter stream containing timestamps, tags, and values. The raw .csv data stream generated in step S24 is imported into Wonderware In Touch's Historian Client. The LocalPC Clock is selected as the reference clock via the Time Synchronization wizard; the maximum allowable time deviation is set to 500ms, and the Back-fill option is enabled to compensate for occasional packet loss. The Historian Client uses linear interpolation to align all channels to a unified 1s timestamp, and the Export to CSV function is called to export the aligned data. The data format is fixed as: timestamp (yyyy-mm-dd hh:mm:ss), tag, value, and unit, with four columns and no header, thus obtaining the final wastewater treatment plant environmental parameter stream.

[0102] Preferably, step S3 includes the following steps:

[0103] Step S31: Calculate the air temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference on both sides of the interface based on the air temperature, humidity, carbon dioxide concentration, and characteristic pollutant concentration on both sides of the interface, respectively.

[0104] Step S32: Based on the preset mass transfer process theoretical model, calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface according to the air temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference. Specifically, the preset mass transfer process theoretical model is as follows:

[0105] ;

[0106] in, The difference in carbon dioxide concentration and the difference in characteristic pollutant concentration are represented by the two sides of the interface. The temperature difference of the air on both sides of the interface. The difference in air humidity on both sides of the interface. The odor mass transfer coefficient is... The mass transfer coefficient is the temperature mass transfer coefficient. Moisture content mass transfer coefficient.

[0107] In this embodiment, the environmental parameter stream from the wastewater treatment plant is imported into Excel and Power Query is enabled. The "Split Columns by Position" function in the Transform tab is used to split the Tag field into two columns, Position A and Position B. A merge query is used to align data from both sides at the same time point, generating a new data table. The difference is calculated using a built-in formula in the newly added column. , , , For example, at 14:03:01 on May 20, 2024, the following data were obtained at the interface between the membrane tank and the personnel operating space: a temperature difference of 2.8℃, a moisture content difference of 4.2 g / kg, a carbon dioxide concentration difference of 380 ppm, and an ammonia concentration difference. The results are automatically written to a new column in the same row, forming a complete difference dataset. The generated difference dataset is then imported into MATLAB's Simulink environment, and the Lookup Table module in the standard library is used to perform mass transfer model calculations. The odor mass transfer coefficient is set in the module parameters. for Temperature mass transfer coefficient for Moisture content mass transfer coefficient for The input ports are connected to the signal lines for temperature difference, humidity difference, carbon dioxide concentration difference, and ammonia concentration difference, respectively. After running a Normal mode simulation once, the module output is the minimum pressure gradient required for the interface to suppress odor diffusion. Taking the data from 2024-05-20 14:03:01 as an example, the simulation yielded... =9.4Pa, and the result is directly written to the workspace variable through Simulink's To Workspace module.

[0108] Preferably, in step S4, the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume of the corresponding interface are determined based on the minimum pressure gradient. The specific calculation formulas are as follows:

[0109] ;

[0110] ;

[0111] ;

[0112] in, This is the minimum total air supply volume. This is the minimum total exhaust air volume. To minimize the total air volume required for deodorization, This is the weighting coefficient for the air supply system. This is the weighting coefficient for the exhaust system. This represents the weighting coefficient for the deodorization system.

[0113] Preferably, in step S5, the ion supply system, exhaust system, and deodorization system are adjusted according to the minimum total supply air volume, the minimum total exhaust air volume, and the minimum total deodorization air volume, respectively, including:

[0114] The minimum total supply air volume is allocated to different zones to obtain the target air volume allocation table for each air supply zone.

[0115] Based on the target air volume distribution table for each air supply area, the frequency of each variable frequency fan in the ion air supply system is adjusted to obtain the frequency adjustment parameters of the air supply fan.

[0116] The opening of each terminal valve in the ion air supply system is adjusted according to the frequency adjustment parameters of the air supply fan and the target air volume distribution table of each air supply area to obtain the air supply valve opening adjustment parameters.

[0117] The minimum total exhaust air volume is allocated to different zones to obtain the target air volume allocation table for each exhaust zone.

[0118] Based on the target air volume distribution table for each exhaust area, the frequency of each exhaust variable frequency fan in the exhaust system is adjusted to obtain the exhaust fan frequency adjustment parameters.

[0119] The opening of each terminal valve in the exhaust system is adjusted according to the exhaust fan frequency adjustment parameters and the target air volume distribution table for each exhaust area to obtain the exhaust valve opening adjustment parameters.

[0120] The minimum total deodorization air volume is allocated to different zones to obtain the target air volume allocation table for each deodorization zone.

[0121] Based on the target air volume allocation table for each deodorization zone, the frequency of each deodorization variable frequency fan in the deodorization system is adjusted to obtain the frequency adjustment parameters of the deodorization fan.

[0122] Based on the frequency adjustment parameters of the deodorizing fan and the target air volume distribution table for each deodorizing area, the opening degree of each terminal valve in the deodorizing system is adjusted to obtain the deodorizing valve opening degree adjustment parameters.

[0123] In this embodiment, the minimum total supply air volume calculated in step S4 is imported into the air volume balancing module of Siemens Desigo CC V5.2. The software automatically lists six modeled air supply zones: pretreatment operation area, biological treatment tank corridor, MBR pipe gallery, sludge drying workshop, chemical dosing room, and control room. By entering 25%, 20%, 15%, 20%, 10%, and 10% sequentially in the zone weight column, the software calculates and generates the target air volume column for each zone in real time. For example, for the pretreatment operation area... Biochemical pool walkway The target air volume allocation table for each air supply area is generated sequentially, decreasing in the remaining areas, and automatically synchronized to the system database for subsequent use by fans and valves. Import the target air volume allocation table for each air supply area. The AC500-eCo PLC configurator links six ABBACH580-01-045A-4 inverter fans sequentially in the fan object panel. The system calculates the required fan speed based on the area's air volume; for example, the required air volume for the pretreatment area. Corresponding to rated air volume The PLC automatically sets the output frequency to 48Hz; similarly, the fan in the biological treatment tank corridor is set to 42Hz, and the remaining fans are set to 38Hz, 44Hz, 36Hz, and 36Hz respectively. All frequency values ​​are written to the corresponding strain gauge via MODBUS TCP and take effect immediately, forming the air supply fan frequency adjustment parameters. In the Siemens PXC22 controller, the valve positioning wizard is opened, and the generated fan frequency parameter table is imported. The system automatically calculates the required opening degree for each branch according to the air volume and pressure loss curves: the 1250mm circular electric valve (Belimo LRB24A-MP) in the pretreatment area is set to 87% opening, the 1000mm electric valve in the biological treatment tank corridor is set to 82%, and the remaining branches are set to 75%, 85%, 70%, and 70% respectively. In TIA Portal V17, the opening command is sent to each valve actuator via PROFINET. The actuator completes its stroke within 30 seconds and returns the actual opening signal, which is then summarized into the air supply valve opening adjustment parameters. Import the minimum total exhaust volume into the exhaust balance worksheet of Schneider Eco Struxure Building Operation. The system lists five exhaust zones: inside the pretreatment tank hood, inside the biological treatment tank hood, inside the MBR membrane tank hood, inside the sludge drying hood, and inside the chemical dosing hood. Based on the volume and odor load of each zone, input 30%, 25%, 20%, 15%, and 10% in the demand coefficient column. The software calculates the target exhaust volumes for each zone as 8000, 15000, 12000, and 9000 m³ / h, respectively. The system generates a target airflow allocation table for each exhaust zone. It imports the exhaust airflow table into Rockwell Studio, selecting controller model 5069-L320ER. In the fan control AOI, it binds five ABB ACH580-01-055A-4 exhaust inverter fans. The system calculates the required airflow within the pretreatment hood based on the airflow-speed curve. Corresponding to the rated The frequency was set to 47Hz; the remaining fans were set to 43Hz, 40Hz, 36Hz, and 33Hz respectively. All frequency values ​​were transmitted in real time via EtherNet / IP, and the fans completed speed-up within 20 seconds. The parameters were summarized as the exhaust fan frequency adjustment parameters. In the Johnson Controls Metasys UI, the valve control page was opened. After importing the frequency parameters from the previous step, the system automatically calculated the opening degree of each valve: the 1400mm electric valve (Belimo NMU24A-MP) of the pretreatment hood was set to 90%, the 1200mm electric valve of the biological treatment tank hood was set to 85%, and the rest were set to 80%, 75%, and 70% respectively. Clicking the "Send" button sent the Modbus RTU command to each valve actuator via the gateway. After 15 seconds, the actuator returned the actual opening degree and recorded it as the exhaust valve opening adjustment parameter. The minimum total deodorization airflow was imported into the Tridium Niagara deodorization airflow distribution component. The software lists four deodorization service areas: pretreatment area, biochemical area, MBR area, and sludge area. This is based on on-site testing. and With concentration weights set to 35%, 30%, 20%, and 15%, the system calculates deodorization air volumes for each zone to be 15750, 13500, 9000, and 6750, respectively. Generate a target airflow allocation table for each deodorization zone. Import the deodorization airflow table into Mitsubishi FR Configurator, corresponding to four Mitsubishi FR-F840-01800 inverter fans: 15750 is required for the pretreatment zone. Corresponding to a rated capacity of 18000 The frequency was set to 46Hz; the remaining fans were set to 42Hz, 38Hz, and 34Hz respectively. Frequency commands were sent via the CC-Link IE Field network, and the fans completed the adjustment within 25 seconds, which was recorded as the deodorizing fan frequency adjustment parameters. After opening the valve positioning interface on the platform and importing the fan frequency parameters, the system calculates the valve opening for each branch: the 1000mm electric valve (Belimo LRB24A-MP) in the pretreatment zone is set to 88%, the 900mm electric valve in the biochemical zone is set to 83%, and the rest are set to 78% and 73% respectively. The opening command is sent to each valve actuator via BAC net / IP. The actuator completes positioning and reports the actual opening within 20 seconds, which is then summarized into the deodorization valve opening adjustment parameters. It is important to note that the fan frequency has a lower limit; it must be maintained above the minimum air pressure required to overcome pipeline resistance. In practical engineering, the common lower limit for variable frequency fans is 30Hz, which is for equipment protection. Furthermore, the specific calculation process for the fan operating frequency is as follows:

[0124] (1) With the system piping unchanged (the length L of each section of the system piping, the cross-sectional dimensions -- cross-sectional area A and equivalent diameter d, and the absolute roughness correction factor) Unchanged, local drag coefficient (1) Under the condition that the terminal air volume demand changes, the air volume Q of each section of the system pipeline can be calculated based on the latest terminal air volume and the system pipeline; (2) Based on the cross-sectional area A of each section of the system pipeline and the air volume Q of each section of the system pipeline, the cross-sectional velocity of each section of the system pipeline can be calculated. (3) According to the formula Calculate the friction resistance of each section of the pipeline according to the formula. Calculate the local resistance of each section of the pipeline and add the two to obtain the total resistance of each section of the pipeline; (4) Based on the pipeline conditions of the system, determine the loop with the largest resistance in the entire system after the terminal air volume is adjusted, that is, the most unfavorable loop. The pipeline resistance of this loop is the minimum air pressure P required by the fan after the terminal air volume is adjusted; (5) According to the fan proportionality law, the air pressure provided by the fan is proportional to the frequency, that is ,in, This refers to the rated air pressure of the fan. The rated frequency of the fan is usually 50Hz; (6) When the frequency required by the fan is calculated to be less than 30Hz, in order to protect the operation of the equipment, the frequency of the fan should be controlled to be no less than 30Hz. According to the fan proportional law, the air volume provided by the fan is proportional to the frequency. At this time, the air volume and air pressure provided by the fan are both greater than the minimum required air volume and air pressure. The minimum air volume and air pressure provided by the fan should be used as the basis. Under the premise of ensuring pressure gradient control, the air volume at the end of the system should be redistributed, and the above (1)~(5) should be executed again to calculate the fan control frequency and ensure that the fan frequency is no less than 30Hz.

[0125] Preferably, it further includes:

[0126] Based on the frequency adjustment parameters of the air supply fan and the opening adjustment parameters of the air supply valve, a coordinated control command for the air supply system is generated. Based on the coordinated control command for the air supply system, closed-loop synchronous adjustment is performed on each variable frequency air supply fan and each terminal valve in the ion air supply system.

[0127] Based on the frequency adjustment parameters of the exhaust fan and the opening adjustment parameters of the exhaust valve, a coordinated control command for the exhaust system is generated. Based on the coordinated control command for the exhaust system, closed-loop synchronous adjustment is performed on each exhaust variable frequency fan and each terminal valve in the exhaust system.

[0128] Based on the frequency adjustment parameters of the deodorizing fan and the opening adjustment parameters of the deodorizing valve, a coordinated control command for the deodorizing system is generated. Based on the coordinated control command for the deodorizing system, closed-loop synchronous adjustment operations are performed on each deodorizing variable frequency fan and each terminal valve in the deodorizing system.

[0129] In this embodiment, within the joint control workflow of Siemens Desigo CC V5.2, the frequency adjustment parameters of the supply fan (e.g., 48Hz for the pretreatment zone and 42Hz for the biochemical zone) and the opening adjustment parameters of the supply valve (87% for the pretreatment zone and 2% for the biochemical zone) are first imported in batches into the Device Coupling wizard. The wizard automatically generates a JSON format instruction package containing 6 records. Each instruction package is simultaneously written to the Modbus register 40001 (frequency setting) of the corresponding ABB ACH580 fan and the BAC net object nalog_Output_1 (opening setting) of the corresponding BelimoLRB24A-MP electric valve. The system sends commands in parallel through BAC net / IP and Modbus TCP dual channels: the fan completes frequency adjustment within 2 seconds, and the valve completes its stroke within 15 seconds. Desigo CC collects the actual fan speed and valve feedback opening every 1 second. When the deviation between the two is less than the set tolerance ±2%, the closed loop synchronization is considered complete; otherwise, the command is automatically resent until the target is met, forming a continuous closed loop. Using the Script function of Schneider Eco Struxure Building Operation, a new exhaust synchronization control script is created. The script reads the exhaust fan frequency adjustment parameters (e.g., 47Hz for the pretreatment hood and 43Hz for the biochemical hood) and the exhaust valve opening adjustment parameters (90% for the pretreatment hood and 85% for the biochemical hood), and packages them into six sets of write commands: the frequency is written to the EtherNet / IP tag Freq_SP of the Rockwell 5069-L320ER PLC, and the valve opening is written to the AO_Position of the Johnson Controls VMA 1430 controller. After the script runs, the gateway simultaneously sends commands via EtherNet / IP and BACnet MS / TP dual buses. After execution, the fans and valves send back real-time speed and actual opening. The script has built-in comparison logic: if the fan speed error is >±1Hz or the valve opening error is >±2%, a secondary correction pulse is immediately triggered until both errors are within tolerance, achieving closed-loop synchronization. In the KitContro palette of TridiumNiagara, create a new Deodor-Sync program block. The program block reads the deodorizing fan frequency adjustment parameters (46Hz in the pretreatment zone and 42Hz in the biochemical zone) and the deodorizing valve opening adjustment parameters (88% in the pretreatment zone and 83% in the biochemical zone) at once. It calls the Niagara's built-in Write Property component to write the frequency value to the Modbus register 40002 of Mitsubishi FR-F840 and writes the valve opening to the BAC net object Analog_Output_2 of Belimo NMU24A-MP.Niagara sends data in parallel via two links: BAC net / IP and Modbus RTU. The program block simultaneously subscribes to the real-time frequency of the fan and the feedback opening of the valve, comparing them every 2 seconds. If the deviation of either exceeds ±3%, the program block automatically adds a fine-tuning command and records the event until the deviation converges to within ±1%, thereby achieving closed-loop synchronous adjustment of the deodorization system.

[0130] Preferably, step S5 involves dynamic closed-loop feedback of the ion supply system, exhaust system, and deodorization system to ensure that the pressure gradient on both sides of any interface gap is within the minimum pressure gradient, including:

[0131] The wastewater treatment plant environmental parameter flow is updated at preset time intervals, and the new minimum pressure gradient of the corresponding interface is calculated based on the updated wastewater treatment plant environmental parameter flow.

[0132] The actual pressure gradient at the corresponding interface is calculated based on the updated environmental parameters of the wastewater treatment plant.

[0133] When the actual pressure gradient deviates from the new minimum pressure gradient by more than the preset threshold, the fan frequency is adjusted first, and then the valve opening is adjusted.

[0134] When the concentration of characteristic pollutants in the updated environmental parameters of the wastewater treatment plant exceeds the preset safe concentration value, the supply air volume, exhaust air volume, and deodorization air volume will be controlled in stages according to the preset safety response mechanism.

[0135] In this embodiment, within the Wonderware System Platform, the Historian client of In Touch OMI is used to configure the real-time data table in the Beckhoff CX5140 controller to automatically poll every 60 seconds. The polling command triggers the CX5140's Data Logger function via Modbus TCP, which packages the temperature, humidity, carbon dioxide, ammonia, hydrogen sulfide, and pressure values ​​sampled within the past 60 seconds into a single data set, and then transmits it back to Historian via OPC UA. Historian appends the new data to the original table and automatically generates a timestamp, achieving an environmental parameter stream update every 60 seconds. The updated environmental parameter stream is pushed in real-time to the Simulink model instance of MATLAB Production Server R2024a via Wonderware's Calculation Engine. This instance has pre-stored the mass transfer model parameters from step S32. Each time the server receives new data, it calls Simulink's Simulation Input interface to convert the temperature difference... Moisture content difference 4.2g / kg, carbon dioxide difference 380ppm, ammonia difference Substituting the data into the model, a new minimum pressure difference of 9.4 Pa is returned after 2 seconds and sent back to Wonderware via JSON. Upon receiving the new data, Wonderware immediately performs a difference calculation using the pressure values ​​on both sides at the same time point: In the Wonderware System Platform, In Touch OMI is used to collect the pressure values ​​inside the membrane tank (contaminated area) and outside (clean area) in real time (per 1 second), strictly adhering to the negative pressure control principle: the inside of the membrane tank is maintained at a negative pressure (e.g., -6.5 Pa) to prevent odor leakage, while the outside of the membrane tank is maintained at a positive pressure (e.g., +3.2 Pa) to form a clean area barrier; the actual pressure gradient (direction from the clean area to the contaminated area) is obtained by calculating the difference between the external positive pressure and the internal negative pressure (3.2 Pa - (-6.5 Pa) = 9.7 Pa). The closed-loop control logic optimization includes: threshold setting correction—removing the ±1Pa bidirectional tolerance and replacing it with a unidirectional tolerance lower limit (actual pressure difference ≥ minimum pressure difference + 0.5Pa, safety redundancy), for example, when the minimum pressure difference is 9.4Pa, the actual pressure difference must be ≥9.9Pa; dynamic prediction mechanism—based on LSTM model analysis of historical 180-day data (temperature, aeration rate, production capacity, time cycle), predicting the minimum pressure difference sequence for the next 30 minutes (e.g., 9.4Pa→9.0Pa→9.2Pa) and writing it into the Predicted_MinΔP real-time tag; adjustment strategy—when the actual pressure difference of 9.7Pa is lower than the predicted value of 9.9Pa, priority is given to increasing the frequency to enhance the negative pressure (exhaust fan frequency increases from 43Hz to 45Hz), if it still does not meet the standard after 30 seconds, the valve opening is finely adjusted by +3%; emergency handling—if the concentration of characteristic pollutants exceeds the limit (e.g., This directly triggers a graded increase in air volume (frequency +10%, opening degree +5%), ignoring the pressure difference threshold limit.

[0136] Preferably, the weighting coefficients of the air supply system, exhaust system, and deodorization system are updated, and predictions are made. The fluctuation trend can be used to adjust the wind turbine frequency in advance, including:

[0137] Acquire historical environmental parameter sets and historical control parameter sets. The historical environmental parameter set includes historical temperature difference, historical humidity difference, historical carbon dioxide concentration difference, historical characteristic pollutant concentration difference, and historical pressure gradient on both sides of the interface. The historical control parameter set includes historical fan frequency, historical valve opening degree, and historical air volume.

[0138] A pre-set long short-term memory network model is trained based on historical environmental parameter sets and historical control parameter sets to obtain a wind volume-pressure gradient collaborative prediction model.

[0139] The air volume-pressure gradient collaborative prediction model is used to predict the weight parameters of the real-time collected temperature difference, humidity difference, carbon dioxide concentration difference and characteristic pollutant concentration difference to obtain the weight coefficients of the optimized air supply system, the optimized air exhaust system and the optimized deodorization system.

[0140] The real-time collected temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference are input into the airflow-pressure gradient collaborative prediction model to predict the future time window. Fluctuation sequence;

[0141] Based on the optimized weighting coefficients of the air supply system, the optimized weighting coefficients of the exhaust system, and the optimized weighting coefficients of the deodorization system The fluctuation sequence is used to calculate the pre-adjustment amount of the fan frequency, and the fan frequency adjustment command is obtained.

[0142] Adjust the operating frequency of the variable frequency fans in the air supply, exhaust and deodorization systems in advance according to the fan frequency adjustment command.

[0143] In this embodiment, a new query window is created in the Wonderware Historian client, with the time range set to the past 180 days, the sampling interval to 5 minutes, and the options for temperature difference and humidity difference on both sides of the interface checked. Concentration difference Concentration difference Select six labels: concentration difference, pressure gradient, etc., and then select nine labels: supply fan frequency, exhaust fan frequency, deodorizing fan frequency, supply valve opening, exhaust valve opening, deodorizing valve opening, supply air volume, exhaust air volume, and deodorizing air volume. Perform a batch export to generate a CSV file. Open the CSV file in Excel, use Power Query to delete missing rows, and standardize the units. , , , , , , , Finally, a historical environmental parameter set and a historical control parameter set containing approximately 50,000 records were obtained. The TensorFlow-GPU environment was started in Anaconda Navigator, using the built-in LSTM layer in Keras. The input size was set to 6 (environmental difference) + 9 (control amount), the output size to 3 (weight coefficients for air supply, exhaust, and deodorization), the batch size to 128, the training period to 100, the optimizer to Adam, and the learning rate to 0.001. The CSV from the previous step was split into training, validation, and test sets in an 8:1:1 ratio. The `fit()` function was run directly in JupyterLab. After training, the weights were saved using Model Checkpoint, resulting in the airflow-pressure difference co-prediction model. The model file was saved in standard HDF5 format. The TF6340 Python function block of Twin CAT 3.1 Build started the embedded Python runtime, calling the HDF5 model saved in the previous step; real-time difference data (temperature difference 2.8℃, moisture content difference 4.2g / kg, ...) were used. Difference of 380ppm Difference 0.07 The model is passed in via shared memory. After inference, the model outputs a supply air weight of 0.42, an exhaust air weight of 0.35, and a deodorization weight of 0.23. The results are written back to Twin CAT's GVL variables for direct use by the PLC, completing online optimization of the weight coefficients. In MATLAB Production Server, the above LSTM model is encapsulated into a RESTful service using SimulinkCompiler. The POST request body includes the current difference and the target time window of 30 minutes, with a sampling interval of 1 minute. The server returns 30 predicted differences, such as a temperature difference slowly increasing from 2.8℃ to 3.4℃. difference Rise to The JSON sequence is sent back to Wonderware via OPC UA for the next pre-adjustment calculation. Wonderware's Calculation Engine reads the optimization weights (0.42 / 0.35 / 0.23) and the 30-minute fluctuation sequence, and uses the built-in PID pre-adjustment unit: the supply air weight of 0.42 × the maximum expected difference increment of 0.6℃ corresponds to a frequency increment of 3Hz, the exhaust air weight of 0.35 × the increment corresponds to 2.5Hz, and the deodorization weight of 0.23 × the increment corresponds to 1.5Hz; the result is written to the pre-adjustment frequency tag, forming a fan frequency adjustment command. The pre-adjustment frequency tag is pushed to the RefFrequency register of the ABB ACH580 inverter via OPC UA, and the supply air fan frequency is increased from 48Hz to 51Hz in advance, the exhaust fan from 43Hz to 45.5Hz, and the deodorization fan from 42Hz to 43.5Hz; the inverter completes the speed increase within 5 seconds and sends the actual speed back to Wonderware in 1-second cycles, achieving dynamic frequency adjustment 30 minutes in advance.

[0144] Most importantly, before adjusting the ion supply system, exhaust system, and deodorization system according to the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume respectively, the following steps are also included:

[0145] Based on the spatial distribution map of the wastewater treatment plant, a corresponding interface pressure difference value is pre-set at any interface between different spatial areas of the wastewater treatment plant. ;

[0146] The initial pressure value of the interface is collected in real time by sensors on both sides of any interface.

[0147] according to The initial minimum total supply air volume, initial minimum total exhaust air volume, and initial minimum total deodorization air volume are determined based on the initial pressure value at the corresponding interface.

[0148] Control each ion supply system, exhaust system and deodorization system according to the initial minimum total supply air volume, the initial minimum total exhaust air volume and the initial minimum total deodorization air volume;

[0149] Based on the spatial distribution map of the wastewater treatment plant, target process parameters are collected at the interfaces of different spatial areas of the wastewater treatment plant to obtain the interface process state parameter set.

[0150] The exhaust adjustment judgment result is determined based on the interface process state parameter set and the preset process parameter compliance threshold table;

[0151] The deodorization system operation command is generated based on the exhaust adjustment judgment result, and the operation of the deodorization system is controlled according to the deodorization system operation command.

[0152] In this embodiment, the interface between the membrane tank and the personnel operating space in the wastewater treatment plant is selected as a demonstration to showcase the entire process of differential pressure setting, real-time monitoring, airflow calculation, and closed-loop control. The wastewater treatment plant spatial distribution map is opened in Bentley Open Buildings Designer, and the differential pressure is set according to the continuous gradient principle of "odorless zone → slightly odorous zone → highly odorous zone": Pretreatment zone personnel operating space - Biochemical zone personnel operating space interface - 6Pa (pretreatment zone operating area negative pressure -6Pa → biochemical zone positive pressure 0Pa), membrane tank personnel operating space - membrane tank interface +8Pa (operating area positive pressure +8Pa → membrane tank negative pressure 0Pa), sludge drying zone - walkway interface 10Pa (sludge drying zone negative pressure -10Pa → walkway positive pressure 0Pa). All pressure gradients and their three-dimensional coordinates are written into the IFC for PLC to call. One Setra267MR differential pressure transmitter (±50Pa, ±0.25%, 4-20mA) is installed on the ceiling of the membrane tank operating area and the inner ceiling of the membrane tank. These transmitters are connected to the Siemens S7-1200 PLC AI module every 1 second to read the real-time pressure gradient: +0.2Pa in the operating area and -8.1Pa in the membrane tank (+8.3Pa). This gradient meets the requirement of negative pressure gradient between the membrane tank and the operating area, and the value is written to the Interface_Press tag. The PLC then uses the Wonderware InTouch built-in calculator, inputting the set value of 8Pa, the measured value of 8.3Pa, and the established empirical formula (airflow = pressure difference × area / resistance coefficient). Initial air volume obtained: air supply Ventilation Deodorization Write Variables. The PLC sends the air volume to the ABB ACH580 frequency converter via Modbus-TCP: supply air 45Hz, exhaust air 41Hz, deodorization 37Hz. Simultaneously, the opening of the Belimo LRB24A-MP / NMU24A-MP electric valves is set to 80% / 78% / 75% via BAC net / IP, completing startup within 30 seconds, with the interface pressure difference stabilizing at 8.0±0.2Pa. During the verification phase, a Testo 400 is inserted into the membrane tank personnel operating space—the membrane tank gap—to measure the temperature in real time: 23.7℃, relative humidity: 68%. , Wind speed 0.3 m / s, data transmitted via Bluetooth and then compared against thresholds using Excel conditional formatting ( Exceeding the standard , (Normal) and generate a "need to increase exhaust volume" judgment. The Wonderware InTouchEvent script immediately increases the exhaust fan frequency from 41Hz to 46Hz and the deodorizing fan frequency from 37Hz to 42Hz, and the valve opening is synchronously increased by 5%; the command is sent to the FR-F840 frequency converter and Belimo actuator via BAC net / IP, and 2 minutes later... Down to The system records "Adjustment complete", and the pressure differential remains unchanged. The closed-loop verification is complete.

[0153] Of particular importance is that the wastewater treatment plant includes separate ventilation and deodorization systems for personnel operating spaces, equipment enclosures, and wastewater treatment tanks. The wastewater treatment tanks also include:

[0154] Determine the space inside the wastewater treatment tank that requires aeration, wherein the space inside the wastewater treatment tank that requires aeration includes the aeration system;

[0155] During the preset aeration sampling cycle, monitor the changes in aeration flow rate in the wastewater treatment tank that requires aeration, the natural air intake flow rate through the openings between the tank that requires aeration and the personnel operation space, and the natural air intake flow rate through the gaps.

[0156] Based on the changes in aeration flow rate, the natural air intake flux through holes, and the natural air intake flux through gaps, the corresponding ventilation and deodorization system is adjusted to compensate for the aeration flow rate.

[0157] In this embodiment, the wastewater treatment plant BIM model is opened in Bentley Open Buildings Design. All aeration tank components are selected using the attribute filter. The system automatically lists corridors 1-4 of the biological treatment tanks, totaling 8 aeration branch pipes. In the attribute column of each branch pipe, the "Aeration Method" field is manually confirmed to be "Microporous Disc Aeration," and the standard airflow rate is entered. The space for the aeration system was determined. An Endress+Hauser Proline t-mass 65I thermal mass flow meter was installed in the main aeration pipe of corridor 1 of the biological treatment tank, with a flow range of [missing information]. A 4-20mA output is connected to a Siemens S7-1200 PLC; simultaneously, TSI 8475 wind speed probes with a range of 0-50m / s are installed at the inspection hole and the gap between the tank top and the cover plate, collecting wind speed data once per second; the PLC calculates the aeration flow rate change, the air inlet flux through the holes, and the air inlet flux through the gaps at a 5-minute cycle, and stores the data in Wonderware Historian. When the aeration flow rate of the No. 1 corridor of the biological treatment tank is monitored to be... Sudden drop Airflow through the opening Airflow through gaps While maintaining the same frequency, Wonder wareInTouch uses a built-in script to reduce the exhaust fan frequency from 40Hz to 37Hz and the deodorizing fan frequency from 35Hz to 32Hz, correspondingly reducing the electric valve opening from 80% to 75%, ensuring the negative pressure inside the tank is maintained at -8Pa, thus completing the aeration synchronization airflow compensation adjustment. Furthermore, in this embodiment, in the enclosed space exhaust system, the gap area (S, unit: ) and make-up air volume (Q, unit: The mathematical relationship between / s and negative pressure (p, unit: Pa) follows the fluid dynamics permeation formula:

[0158] ;

[0159] in, The flow coefficient is typically taken as 0.6~0.7 (experimental measured value). air density (unit: At room temperature and pressure, we can approximate it as 1.2. This refers to the pressure difference between the inside and outside of a confined space (i.e., the absolute value of the negative pressure). >0.

[0160] The method for calculating the gap area is as follows:

[0161] ;

[0162] in, Let the length of each gap be (unit: m). The gap width is expressed in meters (m).

[0163] Of particular importance, the aforementioned wastewater treatment plant ventilation and odor control method based on minimum pressure gradient also includes:

[0164] Monitor the sealing parameters of the gaps at the interface between the negative pressure space and the adjacent space in the wastewater treatment plant;

[0165] When the gap sealing status parameters are outside the preset allowable range, the ventilation and deodorization system will adjust the airflow for sealing compensation according to the sealing status, and generate sealing abnormality prompt data based on the gap sealing status parameters, and upload the sealing abnormality prompt data to the preset monitoring platform.

[0166] In this embodiment, Keyence IL-1000 laser displacement sensors (range) are used at the edges of eight inspection holes around the top cover of the biochemical tank and between the personnel operating space. Repeatability Align vertically with the lower edge of the cover plate and measure the gap width between the cover plate and the pool wall in real time; simultaneously install Sick IME18 inductive proximity switches (detection distance) on the two maintenance doors of the sludge drying room. (PNP output) to monitor whether the door is fully closed; all sensors input 4-20mA signals to the Siemens S7-1200 PLC in 2s cycles. The PLC marks the gap width value and proximity switch status as gap sealing status parameters and writes them into Wonderware Historian. When Wonderware In Touch HMI determines that the IL-1000 reading is 8.5mm (allowable upper limit 6mm) and the proximity switch indicates the door is not closed, the system automatically triggers the sealing anomaly script: the script increases the frequency of the exhaust fan in the corresponding area from 40Hz to 45Hz, the frequency of the supply fan from 38Hz to 42Hz, and the frequency of the deodorizing fan from 35Hz to 38Hz to compensate for additional air leakage; at the same time, the script uses OPC UA to record the abnormal location, biological tank hole 3, gap width 8.5mm, and current air volume compensation value 600. The data is packaged into a JSON string and pushed to the preset monitoring platform via MQTT. The robot on the mobile phone of the on-site staff immediately receives a "sealing abnormality prompt" with text and numerical values, reminding them to reset the cover or close the door as soon as possible.

[0167] Preferably, the present invention also provides a wastewater treatment plant ventilation and deodorization control system based on minimum pressure gradient, for executing the wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient as described above, the wastewater treatment plant ventilation and deodorization control system based on minimum pressure gradient comprising:

[0168] The spatial modeling module is used to obtain a spatial distribution map of the wastewater treatment plant, which includes the spatial location information of multiple process areas and their interfaces.

[0169] The environmental sensing module is used to deploy multiple types of sensors on the wastewater treatment plant according to the spatial distribution map of the wastewater treatment plant to obtain sensor network topology data; based on the sensor network topology data, it collects air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure values ​​on both sides of any interface in real time to generate environmental parameter streams for the wastewater treatment plant.

[0170] The pressure gradient calculation module is used to calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface based on the environmental parameters of the wastewater treatment plant and the preset mass transfer process theoretical model.

[0171] The air volume optimization module is used to determine the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume of the corresponding interface based on the minimum pressure gradient.

[0172] The dynamic control module is used to adjust the ion supply air system, exhaust air system and deodorization system according to the minimum total supply air volume, minimum total exhaust air volume and minimum total deodorization air volume, and to provide dynamic closed-loop feedback for each ion supply air system, exhaust air system and deodorization system, so that the pressure gradient on both sides of any interface gap is not less than the minimum pressure gradient required to suppress the diffusion of pollutants.

[0173] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0174] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for controlling ventilation and odor removal in wastewater treatment plants based on minimum pressure gradient, characterized in that, Includes the following steps: Step S1: Obtain the spatial distribution map of the wastewater treatment plant, which includes the spatial location information of multiple process areas and their interfaces; Step S2: Deploy multiple types of sensors at the wastewater treatment plant based on the spatial distribution map of the wastewater treatment plant to obtain sensor network topology data; Based on the sensor network topology data, collect air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure values ​​on both sides of any interface in real time to generate environmental parameter streams for the wastewater treatment plant; Step S3: Calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface based on the environmental parameter flow of the wastewater treatment plant and the preset mass transfer process theoretical model; wherein, step S3 includes the following steps: Step S31: Calculate the air temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference on both sides of the interface based on the air temperature, humidity, carbon dioxide concentration, and characteristic pollutant concentration on both sides of the interface, respectively. Step S32: Based on the preset mass transfer process theoretical model, calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface according to the air temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference. Specifically, the preset mass transfer process theoretical model is as follows: ； in, The difference in carbon dioxide concentration and the difference in characteristic pollutant concentration are represented by the two sides of the interface. The temperature difference of the air on both sides of the interface. The difference in air humidity on both sides of the interface. The odor mass transfer coefficient is... The mass transfer coefficient is the temperature mass transfer coefficient. Moisture content mass transfer coefficient; Step S4: Determine the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume at the corresponding interface based on the minimum pressure gradient; Step S5: Adjust the ion supply air system, exhaust air system and deodorization system according to the minimum total supply air volume, minimum total exhaust air volume and minimum total deodorization air volume respectively, and perform dynamic closed-loop feedback on each ion supply air system, exhaust air system and deodorization system to ensure that the pressure gradient on both sides of any interface gap is not less than the minimum pressure gradient required to suppress the diffusion of pollutants.

2. The wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient according to claim 1, characterized in that, Step S1 includes the following steps: Step S11: Obtain the building information model of the wastewater treatment plant; Step S12: Perform process zoning analysis on the building information model of the wastewater treatment plant to obtain the topology data of the process area; Step S13: Identify the interfaces between adjacent regions based on the process area topology data to obtain the set of interface location coordinates; Step S14: Based on the interface location coordinate set and process area topology data, perform spatial topology modeling to obtain a wastewater treatment plant spatial distribution map, which includes the spatial location information of multiple process areas and their interfaces.

3. The wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Based on the coordinate set of the interface positions in the spatial distribution map of the sewage treatment plant, spatially locate the sensor deployment points to obtain the coordinate set of the sensor deployment points; Step S22: Based on the sensor deployment point coordinate set and the preset sensor type configuration table, deploy multiple types of sensor nodes on both sides of each interface to obtain the sensor node configuration table. The multiple types of sensors include temperature and humidity sensors, carbon dioxide concentration sensors, characteristic pollutant concentration sensors and pressure sensors. Step S23: Construct communication links between sensor nodes according to the sensor node configuration table to obtain sensor network topology data; Step S24: Based on the sensor network topology data, collect in real time the air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure value on both sides of any interface to generate the original wastewater treatment plant environmental parameter stream; Step S25: Timestamp align the original wastewater treatment plant environmental parameter stream to obtain the wastewater treatment plant environmental parameter stream.

4. The wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient according to claim 1, characterized in that, In step S4, the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume of the corresponding interface are determined based on the minimum pressure gradient. The specific calculation formulas are as follows: ； ； ； in, This is the minimum total air supply volume. This is the minimum total exhaust air volume. To minimize the total air volume required for deodorization, This is the weighting coefficient for the air supply system. This is the weighting coefficient for the exhaust system. This represents the weighting coefficient for the deodorization system.

5. The wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient according to claim 1, characterized in that, Step S5 involves adjusting the ion supply system, exhaust system, and deodorization system based on the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume, respectively, including: The minimum total supply air volume is allocated to different zones to obtain the target air volume allocation table for each air supply zone. Based on the target air volume distribution table for each air supply area, the frequency of each variable frequency fan in the ion air supply system is adjusted to obtain the frequency adjustment parameters of the air supply fan. The opening of each terminal valve in the ion air supply system is adjusted according to the frequency adjustment parameters of the air supply fan and the target air volume distribution table of each air supply area to obtain the air supply valve opening adjustment parameters. The minimum total exhaust air volume is allocated to different zones to obtain the target air volume allocation table for each exhaust zone. Based on the target air volume distribution table for each exhaust area, the frequency of each exhaust variable frequency fan in the exhaust system is adjusted to obtain the exhaust fan frequency adjustment parameters. The opening of each terminal valve in the exhaust system is adjusted according to the exhaust fan frequency adjustment parameters and the target air volume distribution table for each exhaust area to obtain the exhaust valve opening adjustment parameters. The minimum total deodorization air volume is allocated to different zones to obtain the target air volume allocation table for each deodorization zone. Based on the target air volume allocation table for each deodorization zone, the frequency of each deodorization variable frequency fan in the deodorization system is adjusted to obtain the frequency adjustment parameters of the deodorization fan. Based on the frequency adjustment parameters of the deodorizing fan and the target air volume distribution table for each deodorizing area, the opening degree of each terminal valve in the deodorizing system is adjusted to obtain the deodorizing valve opening degree adjustment parameters.

6. The wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient according to claim 5, characterized in that, Also includes: Based on the frequency adjustment parameters of the air supply fan and the opening adjustment parameters of the air supply valve, a coordinated control command for the air supply system is generated. Based on the coordinated control command for the air supply system, closed-loop synchronous adjustment is performed on each variable frequency air supply fan and each terminal valve in the ion air supply system. Based on the frequency adjustment parameters of the exhaust fan and the opening adjustment parameters of the exhaust valve, a coordinated control command for the exhaust system is generated. Based on the coordinated control command for the exhaust system, closed-loop synchronous adjustment is performed on each exhaust variable frequency fan and each terminal valve in the exhaust system. Based on the frequency adjustment parameters of the deodorizing fan and the opening adjustment parameters of the deodorizing valve, a coordinated control command for the deodorizing system is generated. Based on the coordinated control command for the deodorizing system, closed-loop synchronous adjustment operations are performed on each deodorizing variable frequency fan and each terminal valve in the deodorizing system.

7. The wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient according to claim 1, characterized in that, Step S5 involves dynamic closed-loop feedback of the ion supply system, exhaust system, and deodorization system to ensure that the pressure gradient on both sides of any interface gap is within the minimum pressure gradient, including: The wastewater treatment plant environmental parameter flow is updated at preset time intervals, and the new minimum pressure gradient at the corresponding interface is calculated based on the updated treatment plant environmental parameter flow. The actual pressure gradient at the corresponding interface is calculated based on the updated treatment plant environmental parameters. When the actual pressure gradient deviates from the new minimum pressure difference by more than the preset threshold, the fan frequency is adjusted first, and then the valve opening is adjusted. When the concentration of characteristic pollutants in the updated environmental parameters of the wastewater treatment plant exceeds the preset safe concentration value, the supply air volume, exhaust air volume, and deodorization air volume will be controlled in stages according to the preset safety response mechanism.

8. The wastewater treatment plant ventilation and deodorization control method based on minimum pressure gradient according to claim 4, characterized in that, Update the weighting coefficients for the air supply system, exhaust system, and deodorization system, and predict their effects. The fluctuation trend can be used to adjust the wind turbine frequency in advance, including: Acquire historical environmental parameter sets and historical control parameter sets. The historical environmental parameter set includes historical temperature difference, historical humidity difference, historical carbon dioxide concentration difference, historical characteristic pollutant concentration difference, and historical pressure difference on both sides of the interface. The historical control parameter set includes historical fan frequency, historical valve opening degree, and historical air volume. A pre-set long short-term memory network model is trained based on historical environmental parameter sets and historical control parameter sets to obtain a wind volume-pressure gradient collaborative prediction model. The air volume-pressure gradient collaborative prediction model is used to predict the weight parameters of the real-time collected temperature difference, humidity difference, carbon dioxide concentration difference and characteristic pollutant concentration difference, and obtain the weight coefficients of the optimized air supply system, the optimized air exhaust system and the optimized deodorization system. The real-time collected temperature difference, humidity difference, carbon dioxide concentration difference, and characteristic pollutant concentration difference are input into the airflow-pressure gradient co-prediction model to predict the future time window. Fluctuation sequence; Based on the optimized weighting coefficients of the air supply system, the optimized weighting coefficients of the exhaust system, and the optimized weighting coefficients of the deodorization system The fluctuation sequence is used to calculate the pre-adjustment amount of the fan frequency, and the fan frequency adjustment command is obtained. Adjust the operating frequency of the variable frequency fans in the air supply, exhaust and deodorization systems in advance according to the fan frequency adjustment command.

9. A ventilation and deodorization control system for wastewater treatment plants based on pressure gradients, characterized in that, For implementing the wastewater treatment plant ventilation and odor control method based on minimum pressure gradient as described in claim 1, the wastewater treatment plant ventilation and odor control system based on minimum pressure gradient includes: The spatial modeling module is used to obtain a spatial distribution map of the wastewater treatment plant, which includes the spatial location information of multiple process areas and their interfaces. The environmental sensing module is used to deploy multiple types of sensors on the wastewater treatment plant according to the spatial distribution map of the wastewater treatment plant to obtain sensor network topology data; based on the sensor network topology data, it collects air temperature, humidity, carbon dioxide concentration, characteristic pollutant concentration and pressure values ​​on both sides of any interface in real time to generate environmental parameter streams for the wastewater treatment plant. The pressure gradient calculation module is used to calculate the minimum pressure gradient required to suppress odor diffusion at the corresponding interface based on the environmental parameters of the wastewater treatment plant and the preset mass transfer process theoretical model. The air volume optimization module is used to determine the minimum total supply air volume, minimum total exhaust air volume, and minimum total deodorization air volume of the corresponding interface based on the minimum pressure gradient. The dynamic control module is used to adjust the ion supply air system, exhaust air system and deodorization system according to the minimum total supply air volume, minimum total exhaust air volume and minimum total deodorization air volume, and to provide dynamic closed-loop feedback for each ion supply air system, exhaust air system and deodorization system, so that the pressure gradient on both sides of any interface gap is not less than the minimum pressure gradient required to suppress the diffusion of pollutants.

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