Climate adaptive dynamic calibrated sewer network scheduling and in situ suppression coordinated low carbon operation system and method

Abstract

This application provides a climate-adaptive dynamic calibration system and method for coordinated low-carbon operation of drainage network scheduling and in-situ methane suppression, relating to the field of urban water management technology. It aims to achieve a multi-objective dynamic balance of safety, low carbon emissions, and high efficiency in urban drainage networks. The system includes: a climate-adaptive dynamic calibration module, which calibrates the rainstorm intensity formula based on real-time weather data when a rainstorm risk is identified; a network hydraulic model, based on the calibrated rainstorm intensity formula, simulates the flow process of rainwater in drainage pipes, outputting updated design drainage capacity thresholds, pump station start-up water level limits, and early warning capacity of storage facilities to achieve adaptive adjustment of the drainage network scheduling strategy; and a methane in-situ suppression module, which, when a rainstorm risk is identified and the fans and pipelines in the methane staged collection module are shut down, increases the dosage of chemicals in pre-determined high-methane-generation-potential areas of the drainage pipes to suppress methane generation through microbial metabolic pathways.

Description

Technical Field

[0001] This application relates to the field of urban water management technology, and more specifically, to a low-carbon operation system and method for coordinated drainage network scheduling and in-situ suppression with climate-adaptive dynamic calibration. Background Technology

[0002] Urban drainage networks face the dual challenges of extreme rainfall pressure and methane emissions and explosion safety. However, the two major control objectives (flood control and drainage, and methane emission reduction) have long been separated and lack coordinated solutions. As a result, urban drainage networks cannot achieve a dynamic balance of multiple objectives such as safety, low carbon emissions, and high efficiency when facing real and complex environments. Summary of the Invention

[0003] The present application provides a low-carbon operation system and method for coordinated scheduling and in-situ suppression of drainage pipe network with climate-adaptive dynamic calibration, which aims to overcome or at least partially solve the above problems.

[0004] The first aspect of this application provides a low-carbon operation system for coordinated drainage network scheduling and in-situ suppression with climate-adaptive dynamic calibration, comprising: The climate adaptability dynamic calibration module determines the risk of heavy rain based on real-time weather data. If a heavy rain risk is determined, the module calibrates the heavy rain intensity formula according to the real-time weather data. The pipeline hydraulic model simulates the flow of rainwater in the drainage pipes based on the calibrated heavy rain intensity formula, and outputs updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity. The updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity are sent to the urban drainage monitoring and data acquisition module to achieve adaptive adjustment of pump station start-up and shutdown logic, gate opening scheme, and storage tank pre-release capacity occupancy strategy. The methane in-situ suppression module maintains a low baseline dosage rate in areas with high methane production potential in the drainage pipes when the climate adaptability dynamic calibration module determines there is no risk of heavy rain; when the climate adaptability dynamic calibration module determines there is a risk of heavy rain and the fans and pipelines in the methane graded collection module are shut down, the dosage of the agent is increased in areas with high methane production potential in the drainage pipes to suppress methane production through microbial metabolic pathways.

[0005] In one alternative implementation, the system further includes: The pretreatment module, located at or upstream of the connection manhole between the septic tank and the drainage network, uses physical components to intercept suspended solids and biodegradable organic matter in the septic tank effluent, thereby reducing the methanogenic potential downstream of the drainage network. The physical components include one or more of the following: a high-efficiency solid-liquid separator, an anaerobic biological filter, or a submerged membrane bioreactor. The methane in-situ inhibition module has a micro-dosing point at the effluent weir or connecting pipe section of the pretreatment module. The micro-dosing point adds a reagent when the effluent quality is lower than the water quality threshold, so as to perform preliminary in-situ inhibition treatment on dissolved easily degradable organic matter that has not been completely intercepted.

[0006] In one alternative implementation, the system further includes: The methane graded collection module deploys a multi-parameter intelligent monitoring network at key locations in the drainage pipe network where methane is prone to accumulate. When the real-time monitored methane concentration is greater than or equal to the first threshold and less than the second threshold, a high-concentration methane gas is extracted from the drainage pipe by a blower and collected and transported to the urban sewage treatment plant for recycling using a dedicated gas collection pipeline. The first threshold is less than the second threshold. When the real-time monitored methane concentration is greater than or equal to the second threshold, the operating frequency of the blower is instantly adjusted to the highest level, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safe treatment pipeline is opened; the blower extracts high-concentration methane gas from the drainage pipe and guides it to the catalytic oxidation device deployed at the end of the pipeline network or the regional centralized treatment station for safe and harmless treatment of methane.

[0007] In one optional implementation, calibrating the rainstorm intensity formula based on real-time weather data includes: Based on weather data of rainfall events within a long calibration period, a statistical downscaling algorithm is used to globally optimize and update the core parameters of the rainfall intensity formula to obtain the first rainfall intensity formula. When there is a risk of heavy rain and the rainfall intensity is detected to deviate from the prediction range of the first heavy rain intensity formula in real time, the core parameters of the first heavy rain intensity formula are corrected based on the weather data of the heavy rain event within a short calibration period, with the prediction deviation of this heavy rain event as the learning target, to obtain a calibrated heavy rain intensity formula. The calibrated heavy rain intensity formula is used to guide the pipeline network scheduling in the current and short-term future.

[0008] In one optional embodiment, the methane in-situ suppression module includes: a dosing unit, a monitoring unit, and an intelligent control unit; The dosing unit includes a corrosion-resistant agent storage tank, a precision metering pump driven by a vector frequency converter, and multi-point dosing nozzles installed in the pipeline. The monitoring unit is installed at the full reaction distance downstream of the dosing point, determined by hydraulic calculation, and is equipped with an online multi-parameter water quality analyzer to monitor the concentration of dissolved methane, chemical oxygen demand, and residual nitrate in real time. The intelligent control unit has a feedforward channel that calculates the theoretical dosage based on the chemical oxygen demand concentration and pipeline flow rate, using the stoichiometric relationship of denitrification to quickly compensate for load fluctuations. The feedback channel of the controller dynamically adjusts the theoretical dosage based on the deviation between the dissolved methane concentration and the set control target value and its changing trend. When the downstream residual nitrate concentration is detected to reach the preset allowable upper limit to prevent secondary pollution, the increase in dosage is automatically limited.

[0009] In one optional implementation, the methane in-situ suppression module, Under normal operating conditions, a low baseline dosing rate is maintained in areas with high methane generation potential in pre-determined drainage pipelines as a conventional emission reduction measure and load-sharing mechanism for the methane staged collection module. The normal operating conditions refer to operating conditions without rainstorm events and without equipment maintenance of the methane staged collection module. During equipment maintenance of the methane staged collection module, increasing the dosage of reagents in the corresponding area is the main methane control measure.

[0010] The second aspect of this application provides a method for coordinated low-carbon operation of drainage network scheduling and in-situ suppression with climate-adaptive dynamic calibration, including: The system determines whether there is a risk of heavy rain based on real-time weather data. If a heavy rain risk is determined, the heavy rain intensity formula is calibrated based on the real-time weather data. The pipeline hydraulic model simulates the flow process of rainwater in the drainage pipes based on the calibrated heavy rain intensity formula, and outputs updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity. Based on the updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity, the system adaptively adjusts the pump station start-up and shutdown logic, gate opening scheme, and storage tank pre-release capacity easing strategy. If there is no risk of heavy rain, maintain a low baseline dosage rate in areas with high methane production potential in the pre-determined drainage pipes; if there is a risk of heavy rain and the fans and pipes in the drainage pipes are shut down, increase the dosage in areas with high methane production potential in the pre-determined drainage pipes to inhibit methane production through microbial metabolic pathways.

[0011] In the climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression collaborative low-carbon operation system provided in this application, the local rainfall intensity formula is dynamically calibrated through the climate-adaptive dynamic calibration module. This allows the network operation parameters to dynamically track the latest trends in climate change, thereby improving the drainage network's flood resistance under extreme rainfall and avoiding full-pipe pressure flow and waterlogging caused by parameter lag. The in-situ methane suppression module precisely adds agents to the network to inhibit methane production through microbial metabolic pathways. This ensures reliable network safety even during periods of temporary methane collection failure under extreme rainfall. Therefore, the collaboration between the in-situ methane suppression module and the climate-adaptive dynamic calibration module ensures that the drainage network can effectively prevent flooding and drain water under extreme rainfall, while simultaneously reducing methane emissions (suppressing methane production) and preventing methane explosions. Attached Figure Description

[0012] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a schematic diagram of the structure of a climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in one embodiment of this application; Figure 2 This is a schematic diagram of the working process of the climate adaptability dynamic calibration module of the drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in an embodiment of this application. Figure 3 This is a schematic diagram of the closed-loop control logic of the methane in-situ suppression module of a climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in an embodiment of this application. Figure 4 This is a schematic diagram of the graded response collection strategy of the methane graded collection module in a climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in an embodiment of this application. Figure 5 This is a schematic diagram of the multi-condition collaborative control strategy of the central control and data management module of the climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression collaborative low-carbon operation system proposed in an embodiment of this application. Figure 6 This is a schematic diagram of the overall architecture of a climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in one embodiment of this application. Detailed Implementation

[0014] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0015] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of a climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in one embodiment of this application. Figure 1 As shown, specifically, the system includes: a climate adaptability dynamic calibration module 110 and a methane in-situ suppression module 120. The climate adaptability dynamic calibration module 110 determines whether there is a risk of rainstorm based on real-time weather data. If a rainstorm risk is determined, the module calibrates the rainstorm intensity formula according to the real-time weather data. The pipeline hydraulic model simulates the flow process of rainwater in the drainage pipeline based on the calibrated rainstorm intensity formula, and outputs the updated design drainage capacity threshold, pump station start-up water level limit, and storage facility early warning capacity. The updated design drainage capacity threshold, pump station start-up water level limit, and storage facility early warning capacity are sent to the urban drainage monitoring and data acquisition module to achieve adaptive adjustment of pump station start-up and shutdown logic, gate opening scheme, and storage tank pre-release capacity vacating strategy.

[0016] In this embodiment, the climate adaptability dynamic calibration module can obtain real-time and historical weather data from the meteorological department through a standard application programming interface. The weather data includes: Doppler weather radar base data, meteorological satellite cloud image inversion products, and minute-level rainfall data from automatic ground rain gauges. The real-time and historical weather data are input into the rainstorm prediction model of the climate adaptability dynamic calibration module, which outputs the probability of rainstorm occurrence. If the probability of rainstorm occurrence is greater than or equal to the risk threshold, a rainstorm risk is identified, i.e., a rainstorm event exists. At this time, based on the real-time weather data, the local rainstorm intensity formula is calibrated to obtain a calibrated rainstorm intensity formula. The calibrated rainstorm intensity formula is converted into an IDF (Intensity-Duration-Frequency) curve, and the IDF curve is input into the pipeline hydraulic model of the climate adaptability dynamic calibration module for simulation calculations. This yields updated design drainage capacity thresholds, pump station start-up water level limits, and early warning capacity of storage facilities for each key pipe section and node of the drainage network. These updated parameters are written to the real-time database of the urban drainage monitoring and data acquisition module in real time via standard industrial data communication protocols, dynamically overwriting the original static parameters. This enables adaptive adjustments to pump station start-up and shutdown logic, gate opening schemes, and pre-release capacity strategies for regulating reservoirs, ensuring that the pipeline network operation always matches the latest climate risk status. The climate adaptability dynamic calibration module dynamically calibrates the local rainfall intensity formula, allowing pipeline network operating parameters to dynamically track the latest trends in climate change. This enhances the flood resistance of the drainage network under extreme rainfall, preventing full-pipe pressure flow and waterlogging caused by parameter lag.

[0017] In one optional implementation, the climate adaptability dynamic calibration module 110's "calibration of the rainstorm intensity formula based on real-time weather data" may specifically include the following steps: Based on weather data of rainfall events within a long calibration period, a statistical downscaling algorithm is used to globally optimize and update the core parameters of the rainfall intensity formula to obtain the first rainfall intensity formula. When there is a risk of heavy rain and the rainfall intensity is detected to deviate from the prediction range of the first heavy rain intensity formula in real time, the core parameters of the first heavy rain intensity formula are corrected based on the weather data of the heavy rain event within a short calibration period, with the prediction deviation of this heavy rain event as the learning target, to obtain a calibrated heavy rain intensity formula. The calibrated heavy rain intensity formula is used to guide the pipeline network scheduling in the current and short-term future.

[0018] In this embodiment, the climate adaptability dynamic calibration module employs a multi-level algorithm system to dynamically calibrate the local rainfall intensity formula. Through periodic long-term calibration and event-driven short-term dynamic calibration, the rainfall intensity formula is continuously updated, and the results are used for pipeline capacity reassessment and adaptive adjustment of operating parameters. For example... Figure 2As shown, the first level is the periodic macro-correction of long-term trends: a long calibration period (e.g., 3 years) is pre-set; using high-quality rainfall records (weather data of rainfall events) accumulated within the long calibration period, combined with the downscaling output of global or regional climate models, statistical downscaling algorithms such as equidistant quantile matching are used to globally optimize and update the core parameters of the rainstorm intensity formula, generating a new benchmark formula that reflects medium- and long-term climate change trends, thus obtaining the first rainstorm intensity formula. The second level is short-term dynamic fine-tuning based on extreme events. When there is a risk of rainstorms and the rainfall intensity of the rainstorm event deviates from the prediction range of the first rainstorm intensity formula in real time, event-driven dynamic fine-tuning is triggered. Using an embedded pre-trained machine learning model, rainfall features (such as peak intensity, precipitation duration, anterior soil moisture, and atmospheric precipitable water) extracted from the weather data of rainstorm events within the short calibration period are used as input features, and the prediction deviation of the rainstorm event is used as the learning objective to apply short-term perturbation correction to the first rainstorm intensity formula, generating a temporary, more alert calibrated rainstorm intensity formula. The calibrated rainstorm intensity formula is used to guide pipeline network scheduling in the current and short-term future (e.g., the next 24 to 48 hours).

[0019] The methane in-situ suppression module 120 maintains a low baseline dosage rate in areas with high methane production potential in the drainage pipes when the climate adaptability dynamic calibration module determines there is no risk of heavy rain; when the climate adaptability dynamic calibration module determines there is a risk of heavy rain and the fans and pipelines in the methane graded collection module are shut down, it increases the dosage of the agent in areas with high methane production potential in the drainage pipes to suppress methane production from the microbial metabolic pathway.

[0020] In this embodiment, the in-situ methane suppression module utilizes the competition for carbon sources among microorganisms in the anoxic environment of the drainage network. By precisely adding appropriate amounts of nitrate or nitrite to the network as electron acceptors, it effectively supports the growth and metabolism of denitrifying bacteria. These bacteria preferentially seize and consume organic substrates originally used for methane production, thus significantly inhibiting methane production through microbial metabolic pathways without adding bactericides or altering the main biochemical environment of the network. Specifically, high-potential methane production areas in the drainage pipeline are identified in advance through a comprehensive pipeline survey and long-term water / gas monitoring. When the climate adaptability dynamic calibration module determines there is no risk of heavy rainfall, the in-situ methane suppression module maintains a low baseline dosage rate in the pre-determined high-potential methane production areas, continuously adding agents to these areas according to the preset low baseline dosage rate. When a risk of heavy rain is detected, and the fans and pipelines in the methane staged collection module are shut down (typically during heavy rain events, to prevent backflow of high water levels in inspection wells from damaging equipment or causing short circuits, the fans and pipelines of the methane staged collection module are automatically shut down), the dosage of the chemical agent is increased in pre-determined areas of high methane generation potential in the drainage pipeline. Through the collaboration of the in-situ methane suppression module and the climate-adaptive dynamic calibration module, it is ensured that the drainage network can effectively prevent flooding and drain water during extreme rainfall, while simultaneously reducing methane emissions (suppressing methane production) and preventing methane explosions.

[0021] In one optional embodiment, the methane in-situ suppression module 120 includes: a dosing unit, a monitoring unit, and an intelligent control unit; The dosing unit includes a corrosion-resistant agent storage tank, a precision metering pump driven by a vector frequency converter, and multi-point dosing nozzles installed in the pipeline. The monitoring unit is installed at the full reaction distance downstream of the dosing point, determined by hydraulic calculation, and is equipped with an online multi-parameter water quality analyzer to monitor the concentration of dissolved methane, chemical oxygen demand, and residual nitrate in real time. The intelligent control unit has a feedforward channel that calculates the theoretical dosage based on the chemical oxygen demand concentration and pipeline flow rate, using the stoichiometric relationship of denitrification to quickly compensate for load fluctuations. The feedback channel of the controller dynamically adjusts the theoretical dosage based on the deviation between the dissolved methane concentration and the set control target value and its changing trend. When the downstream residual nitrate concentration is detected to reach the preset allowable upper limit to prevent secondary pollution, the increase in dosage is automatically limited.

[0022] In this embodiment, as Figure 3As shown, the in-situ methane suppression module consists of a dosing unit, a monitoring unit, and an intelligent control unit. The dosing unit includes a corrosion-resistant reagent storage tank (containing optimized concentrations of calcium nitrate or sodium nitrate solution), a precision metering pump driven by a vector frequency converter, and multi-point dosing nozzles installed within the pipeline. The monitoring unit is installed downstream of the dosing point at a hydraulically calculated sufficient reaction distance (typically 500 to 1000 meters, adjusted according to the flow velocity in the pipeline section), equipped with an online multi-parameter water quality analyzer to monitor dissolved methane concentration, chemical oxygen demand (COD) concentration, and residual nitrate concentration in real time. The intelligent control unit operates a closed-loop control algorithm, its core employing an advanced strategy combining model predictive control and feedforward-feedback composite control. Based on measured downstream methane concentration, COD, and residual nitrate concentration, the controller, combined with the feedforward-feedback composite algorithm, precisely controls the nitrate dosing rate, achieving on-demand, economical, and safe in-situ methane suppression. Specifically, the controller's feedforward channel calculates the theoretical dosage based on real-time measured COD concentration and pipeline flow rate, using denitrification stoichiometry (e.g., approximately 0.3 to 0.4 grams of nitrate nitrogen are required for complete denitrification of each gram of COD) to quickly compensate for load fluctuations. The feedback channel, through a proportional-integral-derivative controller or model predictive controller, finely and dynamically adjusts the theoretical dosage based on the deviation and trend between the real-time measured dissolved methane concentration and the set control target value. Simultaneously, a safety constraint is set within the controller: when the downstream residual nitrate concentration approaches or reaches the preset allowable upper limit to prevent secondary pollution, regardless of the methane control effect, further increases in the dosage are automatically limited.

[0023] In one optional implementation, the climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system further includes: a pretreatment module 130; The pretreatment module 130, at the connection inspection well between the septic tank and the drainage network or upstream, uses physical components to intercept suspended solids and biodegradable organic matter in the septic tank effluent, so as to reduce the methanogenic potential downstream of the drainage network. The physical components include one or more of the following: a high-efficiency solid-liquid separator, an anaerobic biological filter, or a submerged membrane bioreactor. The methane in-situ inhibition module 120 has a micro-dosing point set at the effluent weir or connecting pipe section of the pretreatment module. The micro-dosing point adds a reagent when the effluent quality is lower than the water quality threshold, so as to perform preliminary in-situ inhibition treatment on dissolved easily degradable organic matter that has not been completely intercepted.

[0024] In this embodiment, for emission sources with high organic load characteristics, such as hospitals, concentrated catering areas, and large residential communities, suspended solids and biodegradable organic matter in the septic tank effluent are intercepted by physical components in the pretreatment module at the connection manhole between the existing septic tank and the drainage pipe network or upstream, thereby reducing the methanogenic potential downstream of the drainage pipe network. The physical components include one or more of the following: a high-efficiency solid-liquid separator, an anaerobic biological filter, or a submerged membrane bioreactor. In addition to setting micro-dosing points in pre-determined areas of high methane generation potential in the drainage pipe network, the methane in-situ inhibition module can also set micro-dosing points at the effluent weir or connecting pipe section of the pretreatment module. These dosing points precisely add a small amount of nitrate when the effluent quality is below a water quality threshold (e.g., the COD concentration monitored online is higher than a preset threshold), to perform preliminary in-situ inhibition treatment on dissolved biodegradable organic matter that the pretreatment module could not completely intercept. This forms a composite emission reduction pathway of "physical interception and reduction at the source - chemical / biological inhibition in the process", extending the control chain of methane upstream to before pollutants enter the pipeline network, maximizing the methane control effect of the entire chain.

[0025] In one optional implementation, the climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression collaborative low-carbon operation system further includes: a methane staged collection module 140; The methane grading and collection module 140 deploys a multi-parameter intelligent monitoring network at key locations in the drainage network where methane easily accumulates. When the real-time monitored methane concentration is greater than or equal to a first threshold and less than a second threshold, a blower extracts high-concentration methane gas from the drainage pipe and collects it through a dedicated gas collection pipeline, transporting it to the municipal wastewater treatment plant for recycling. The first threshold is less than the second threshold. When the real-time monitored methane concentration is greater than or equal to the second threshold, the blower's operating frequency is instantly adjusted to the highest level, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safe treatment pipeline is opened. The blower extracts high-concentration methane gas from the drainage pipe and guides it to a catalytic oxidation device deployed at the end of the pipeline network or a regional centralized treatment station for safe and harmless treatment of the methane.

[0026] In this embodiment, the methane grading and collection module deploys a multi-parameter intelligent monitoring network at key locations in the drainage network where methane is prone to accumulate. These key locations include: junctions where multiple branch pipes converge before entering the main pipe, high-point exhaust valve wells in long-distance pressure pipelines, bends at the ends of long-distance gravity flow pipe sections, inlet and outlet wells of inverted siphons, and key pipe sections with a history of odor complaints or sediment detection. Each monitoring point is equipped with a multi-parameter intelligent terminal integrating a methane sensor, hydrogen sulfide sensor, absolute pressure sensor, temperature sensor, and miniature flow probe. The methane sensor employs non-dispersive infrared absorption or tunable semiconductor laser absorption spectroscopy, covering a range from low concentration parts per million (ppm) to high concentration percentage lower explosive limit (LELP), and is intrinsically safe for explosion, ensuring safe operation in high-concentration methane environments.

[0027] like Figure 4 As shown, the methane staged collection module automatically switches between three modes—"standby," "low-flow resource collection," and "high-flow safety emergency collection"—based on dual methane concentration thresholds, balancing carbon resource recovery and explosion safety. The methane staged collection module employs a staged response collection strategy with dual methane concentration thresholds. This strategy defines two progressive methane concentration trigger thresholds: a first threshold T1 and a second threshold T2. The first threshold T1 can be set to approximately 20% of the lower explosive limit (LEL), and the second threshold T2 can be set between 40% and 50% of the LLE.

[0028] Specifically, when the methane concentration detected online is greater than or equal to the first threshold and less than the second threshold, it is determined to be in the "resource collection window," and the system switches from standby mode to a low-flow, high-vacuum negative pressure extraction mode (low-flow resource recovery mode). In this negative pressure extraction mode, the extraction rate is matched with the system's resource recovery capacity, achieving carbon resource recovery with lower energy consumption. At this time, the variable frequency explosion-proof fan installed in the inspection well operates at a low speed, generating a moderate extraction negative pressure and a small extraction flow rate. The high-concentration methane gas extracted from the well and drainage pipes is collected and transported to a nearby municipal wastewater treatment plant through a dedicated small-diameter low-pressure gas collection pipeline. This high-concentration methane gas is injected into the sludge anaerobic digester of the wastewater treatment plant, where it undergoes co-anaerobic digestion with the primary sludge and excess activated sludge to improve biogas yield and methane content, achieving efficient energy recovery and utilization.

[0029] When the real-time monitored methane concentration is greater than or equal to the second threshold, the system immediately switches to the safety emergency collection mode (high-flow emergency mode). This mode has the highest execution priority and can cover all other routine operations. At this time, the operating frequency of the explosion-proof fan is instantly adjusted to the highest level to generate the maximum extraction flow rate. Simultaneously, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safety treatment pipeline is opened. The gas in the pipeline is rapidly extracted to reduce the methane concentration in the regional pipeline network as quickly as possible, bringing it back below a safe level. The extracted high-concentration methane gas is guided to the catalytic oxidation device deployed at the end of the pipeline network or the regional centralized treatment station. This catalytic oxidation device uses honeycomb ceramic loaded with precious metal or transition metal oxides as a catalyst. At the set operating temperature (e.g., 250~450 degrees Celsius), it efficiently catalytically oxidizes methane into carbon dioxide and water vapor, ensuring the safe and harmless disposal of methane in any emergency. The catalytic oxidation device is only activated when the safety emergency collection mode is triggered or when the equipment in the resource utilization path (such as anaerobic digestion in sewage treatment plants) is unable to receive gas due to maintenance or other reasons under the negative pressure extraction mode.

[0030] In one optional embodiment, the methane in-situ suppression module 120, Under normal operating conditions, a low baseline dosing rate is maintained in areas with high methane generation potential in pre-determined drainage pipelines as a conventional emission reduction measure and load-sharing mechanism for the methane staged collection module. The normal operating conditions refer to operating conditions without rainstorm events and without equipment maintenance of the methane staged collection module. During equipment maintenance of the methane staged collection module, increasing the dosage of reagents in the corresponding area is the main methane control measure.

[0031] In this embodiment, under normal operating conditions (no rainstorm events and no equipment maintenance for the methane staged collection module), the methane in-situ suppression module maintains a low baseline dosage rate in pre-determined high-methane generation potential areas of the drainage pipeline, serving as a conventional emission reduction measure and a load-sharing mechanism for the methane staged collection module. In addition to increasing the dosage during rainstorm events, the methane in-situ suppression module also increases the dosage in the corresponding area during equipment maintenance of the methane staged collection module (when the collection device in a certain area is scheduled for maintenance or shut down due to malfunction), serving as the primary methane control measure. The methane in-situ suppression module and the methane staged collection module form a collaborative "one-in-use, one-out-of-maintenance" relationship, ensuring reliable pipeline safety even during periods of temporary collection failure.

[0032] In addition, the climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression collaborative low-carbon operation system also includes: a central control and data management module 150; The central control and data management module collects, stores, analyzes, and displays real-time monitoring data and equipment status from each module; and controls the operating priority and execution sequence of each module according to different operating conditions.

[0033] In this embodiment, the central control and data management module securely accesses the field control units, remote terminal units, and online sensing devices of all other modules through an industrial firewall, enabling unified aggregation, storage, analysis, and display of real-time monitoring data, equipment status, alarm signals, etc. The central control and data management module has a collaborative operation strategy library, which can automatically switch the operating priority and execution sequence of each module according to different operating conditions. Simultaneously, through a human-machine interface, it provides operation and maintenance personnel with global situational awareness and decision support in various forms such as geographic information system maps, process flow diagrams, trend curves, and alarm lists. All operational data is incorporated into the central control and data management module for long-term analysis, providing a data foundation for continuous system optimization and the iterative updating of new control models.

[0034] like Figure 5 As shown, the central control and data management module can automatically adjust the priority and operating mode of each module according to different operating conditions, achieving dynamic optimal coordination of multiple objectives such as "flood control and drainage - methane control - economic operation" in different scenarios. Specifically, under normal operating conditions, the climate adaptability dynamic calibration module is in a state of background data accumulation and periodic self-check; the methane staged collection module automatically switches between standby and low-flow resource utilization modes according to the methane concentration at each point; the methane in-situ suppression module maintains a low baseline dosing rate in the pressure trunk line section; the pretreatment module continuously operates to retain organic matter; and the system as a whole is in a stable operating state with low energy consumption and high resource utilization.

[0035] During heavy rain emergency response, the climate adaptability dynamic calibration module is automatically activated, correcting the heavy rain intensity formula and sending updated parameters (design drainage capacity threshold, pump station start-up water level limit, and storage facility early warning capacity) to the urban drainage monitoring and data acquisition module. This enables adaptive adjustments to pump station start-up and shutdown logic, gate opening schemes, and storage tank pre-release capacity strategies. Simultaneously, to prevent damage to monitoring equipment from potential backflow of instantaneous high water levels in manholes during heavy rain, automatic protection commands for fan shutdown and pipeline valve closure are issued to methane collection points at risk of backflow, based on real-time data from rainfall and manhole water level sensors. Simultaneously, the suppression intensity of the in-situ methane suppression module is automatically increased in areas where fans and pipelines are shut down, specifically increasing the dosage of chemicals in areas with high methane generation potential in the corresponding drainage pipelines as a safety precaution. This achieves a dynamic balance between flood control safety and methane safety.

[0036] In emergency situations involving high-concentration methane, specifically when the methane concentration monitored by the methane staged collection module is greater than or equal to the second threshold, the module rapidly executes the highest-priority safety procedures: the fan's operating frequency is instantly increased to its highest setting, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safety treatment pipeline is opened. High-concentration methane gas is extracted from the drainage pipe by the fan and guided to the catalytic oxidation unit deployed at the end of the pipeline network or a regional centralized treatment station for processing. Simultaneously, the in-situ methane suppression module is controlled to increase methane suppression efforts, increasing the dosage of reagents in areas of high methane generation potential in the corresponding drainage pipes to eliminate the risk of methane explosion in the shortest possible time.

[0037] During equipment maintenance, if the methane staged collection module is scheduled to shut down for maintenance or is out of service due to a malfunction in a certain area, the in-situ methane suppression module is controlled to increase the dosage of the corresponding reagent in the area as the main methane control measure to ensure that the pipeline network safety is still reliably guaranteed during the temporary loss of collection function.

[0038] like Figure 6 As shown in the above embodiments, the overall architecture of the climate-adaptive dynamic calibration drainage network scheduling and in-situ methane suppression collaborative low-carbon operation system can be divided into three layers: data acquisition layer, execution and control layer, and central control and data management layer. The data acquisition layer is responsible for sensing multi-source data from meteorology, pipeline network, and urban environment; the execution and control layer includes four core modules: climate-adaptive dynamic calibration module, methane in-situ suppression module, methane staged collection module, and preprocessing module; the central control and data management layer performs unified analysis and collaborative decision-making.

[0039] The climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in this application has the following outstanding substantive features and significant progress: 1. It achieves deep technological coupling and systemic synergy between the climate resilience of drainage networks and greenhouse gas emission reduction. Dynamic calibration modules enhance the network's resilience to new extreme rainfall events, preventing urban flooding; simultaneously, staged methane collection and in-situ suppression technologies reduce carbon emissions and ensure public safety. These two functions operate in a coordinated manner, without conflict and mutually reinforcing each other, achieving a unified implementation of urban drainage infrastructure in both climate change adaptation and mitigation strategies, demonstrating significant synergistic value.

[0040] 2. A new flexible and highly resilient methane management model combining graded collection and in-situ suppression was constructed. Breaking through the limitations of traditional single emission reduction technologies, the "resource utilization-safety emergency" dual-mode graded collection strategy, based on methane concentration, achieves both energy recovery and utilization of low-concentration methane while ensuring the absolute safety of high-concentration methane disposal. Building upon this, in-situ methane suppression technology based on the principle of denitrification carbon source competition was introduced as a proactive, forward-looking, and bactericide-free microbial process control method. The in-situ methane suppression module and the graded methane collection module form a flexible collaborative mechanism of "sharing load and reducing emissions for increased efficiency during normal periods; and functional substitution and ensuring safety during emergencies," greatly improving the system's flexibility, safety redundancy, and overall reliability in response to various operating conditions.

[0041] 3. A complete integrated "source-process-end" methane emission reduction technology path for drainage pipe networks has been achieved. A complete technical closed loop has been constructed, from "physical / biological pretreatment at the septic tank source to reduce methane-producing substrates," to "in-situ inhibition of methane generation during pipe network transportation," and finally to "graded collection and resource recovery / safe disposal at the end of nodes." This system enables full life-cycle management of methane in the pipe network, from substrate supply to generation pathways and fugitive emissions, forming a systematic, complete, and efficient comprehensive solution for greenhouse gas emission reduction in urban drainage pipe networks, filling the gap in full-chain control in this field.

[0042] The following specific embodiments illustrate the climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system proposed in this application: This example selects a typical old urban drainage area in a major southern city as the application subject. The area covers approximately 6.2 square kilometers and uses a combined sewer system with some areas having separate stormwater drainage networks. The total length of the drainage network in the area is approximately 115 kilometers, of which about 45% are over 30 years old. The pipes are mainly reinforced concrete and terracotta pipes, and have a long history and have undergone multiple repairs. The area contains three high-density old residential communities, one large tertiary-level hospital, two traditional restaurant districts, and numerous septic tanks. The area frequently experiences flooding during the rainy season, and has repeatedly received complaints about odors from inspection wells during the high temperatures of summer, highlighting the urgent need to improve the safety of the city's lifeline and environmental quality.

[0043] I. System Deployment Overall Architecture refer to Figure 6 The entire collaborative low-carbon operation system is deployed according to a three-layer main architecture of "data acquisition layer - execution and control layer - central control and data management layer".

[0044] The data acquisition layer includes Doppler weather radar data receiving interfaces deployed within the region, six ground-based tipping bucket automatic rain gauges, and multi-parameter intelligent sensor terminals installed in 35 selected inspection wells. Simultaneously, this layer connects to the latest high-resolution satellite remote sensing imagery (for interpreting impermeable surfaces) released by the natural resources department via the municipal private network, as well as asset and CCTV monitoring records in the drainage network geographic information system database.

[0045] The execution and control layer, as the core technology of the system, comprises four main modules and is deployed under the unified scheduling of the central control and data management layer.

[0046] The central control and data management layer is integrated in the computer room of the district water affairs management center. It communicates with the field programmable logic controller and remote terminal unit through the OPC UA protocol to realize centralized monitoring and coordinated scheduling of all other modules.

[0047] II. Implementation and Operation of the Climate Adaptability Dynamic Calibration Module Reference Figure 2 The specific implementation and workflow of this module are as follows: Continuous fusion of multi-source data. The module obtains minute-updated radar quantitative precipitation estimates and real-time rainfall data from automatic weather stations via API from the Municipal Meteorological Bureau Information Center, while simultaneously retrieving global forecast field data from the European Centre for Medium-Range Weather Forecasts for dynamic downscaling. The latest quarterly updated impermeability layer of the underlying surface obtained from the district municipal office shows that the impermeable area ratio of this area has increased from 62% to 68% in the past five years, significantly altering the original runoff characteristics. The pipeline network CCTV inspection database shows that more than 15% of the pipe sections have level three or four structural defects, including longitudinal cracks, joint misalignment, and moderate deposition.

[0048] Dynamic calibration of the IDF curve is implemented. The system is set with a long-term calibration cycle of 5 years. When the cycle node is reached, the module automatically aggregates all 5-minute interval rainfall records from the past 5 years, removes outliers, and extracts the annual maximum value sample sequence for each duration. The module calls the precipitation change prediction results of the regional climate model under the IPCC SSP5-8.5 scenario, and uses the equidistant quantile matching algorithm to map the future predicted change trend onto the distribution of historical samples, generating a corrected frequency distribution curve. Then, the least squares method or the Levenberg-Marquardt algorithm is used to globally optimize and fit the four parameters of the rainfall intensity formula to obtain the updated baseline formula.

[0049] During normal operation, the module's short-term dynamic fine-tuning function is in a continuous monitoring state. In a localized severe convective rainfall event that occurred during the flood season that year, the hourly rainfall reached 72 mm, far exceeding the 48 mm corresponding to a 5-year return period in the current benchmark formula. The event trigger mechanism was immediately activated. The pre-trained random forest machine learning model read the feature vectors of this event, including peak intensity, maximum 15-minute rainfall intensity, cumulative rainfall over the previous 7 days, near-surface air temperature, and dew point temperature, and output suggested correction factors for each parameter in the benchmark formula. The corrected running version of the formula was then quickly generated.

[0050] Pipeline capacity reassessment and parameter distribution. The simplified hydraulic model embedded in the module uses the updated operational version of the IDF curve to quickly resimulate the hydraulic load of all pipe sections in the area under a 5-year return period design storm scenario. The calculation results identify 12 bottleneck pipe sections, whose design fill level will increase from the original 0.85 to 1.2, posing a risk of full-pipe pressure flow. Based on this, the system automatically generates suggested adjustment values ​​for the "early start water level line under storm conditions" for the associated pumping stations of these pipe sections, as well as adjustment schemes for the "early warning and pre-release capacity" of the downstream regulating reservoir. These updated parameters are packaged into JSON format data packets and distributed in real time via the MQTT protocol to the front-end server of the urban drainage monitoring and data acquisition module (such as the SCADA monitoring and data acquisition system) in the area, and automatically written into the corresponding tag points in the real-time database. In any subsequent rainfall event, the SCADA system will execute pumping station start-up and shutdown and gate control with the new parameters until the next dynamic calibration occurs and overrides them.

[0051] III. Deployment and Operation of the Methane Stage Collection Module Reference Figure 4 The deployment structure and operating logic of this module are as follows.

[0052] The intelligent monitoring and collection unit is deployed at 35 key inspection wells selected after a methane emission risk assessment. The assessment comprehensively considered pipeline characteristics (long distance, gentle slope, transporting high-concentration wastewater), historical well records, and preliminary investigation results of gas detection within the pipeline. Each location is equipped with a multi-parameter intelligent terminal using a laser methane sensor with a range of 0 to 100% volume concentration and an accuracy of ±0.1% volume concentration; it also integrates a hydrogen sulfide electrochemical sensor and temperature and absolute pressure sensors. The extraction device uses an explosion-proof certified DC brushless variable frequency fan with a maximum extraction flow rate of 120 standard cubic meters per hour, and can be steplessly speed-regulated via a 4-20mA signal or RS-485 bus.

[0053] The pipeline for resource utilization uses DN50 stainless steel pipes, which converge from various monitoring and collection points into a DN200 main collection pipe. After being pressurized by a pipeline booster fan, the gas is transported to the municipal wastewater treatment plant, located approximately 3.5 kilometers from the area boundary. At the wastewater treatment plant, the collected methane gas undergoes desulfurization and dehumidification pretreatment before being injected into the gas phase space of two 12,000-cubic-meter oval-shaped anaerobic digester tanks for sludge digestion. This mixture is then mixed with the sludge biogas produced during the wastewater treatment process and enters a biogas storage tank for use by biogas generator sets.

[0054] During operation one night during the main flood season of a certain year, the system recorded a typical graded response process. At 22:15 that day, at a monitoring point located on the main pipeline downstream of the restaurant district, the methane concentration rose continuously from 8% LEL within 20 minutes. When the concentration reached 20% LEL, the central control and data management module controlled the methane graded collection module to enter the T1 resource-based collection mode, issuing a 40% speed command to the blower at that point, and simultaneously opening the low-flow pipeline solenoid valve. The blower extracted gas at a flow rate of approximately 40 cubic meters per hour, steadily delivering the methane-containing gas to the anaerobic digestion system of the wastewater treatment plant. By 23:08, due to a short-term concentrated discharge of high-concentration organic wastewater from upstream, the methane concentration at this point rapidly jumped to 52% LEL. The system immediately triggered the T2 safety emergency mode. The controller instantly accelerated the blower at that point to 100% full speed operation, switched the pipeline valve to the high-flow branch, and the extracted gas was urgently transported to a nearby catalytic oxidation unit. The device's internal electric heater maintains the catalyst bed temperature at 320°C. High-concentration methane gas drawn in by the blower undergoes an oxidation reaction as it passes through the platinum-palladium catalyst layer coated on a honeycomb ceramic carrier. The outlet methane concentration, detected online, drops to below 200 ppm, achieving efficient and safe disposal. The entire process is automated, without any human intervention or delays, and a high-level alarm is simultaneously sent to the control center during the disposal process.

[0055] IV. Deployment and Operation of the Methane In-situ Suppression Module Reference Figure 3 The longest section of pressurized sewage trunk line in the area was selected as the primary application target for the methane in-situ suppression module. This section is 2.3 kilometers long with a diameter of DN600. Due to the pressurized flow, the entire pipe is full and has extremely weak reoxygenation capacity. Preliminary monitoring showed that the dissolved methane concentration in the middle and end sections remained at a high level of 8 to 15 mg / L for a long time, making it one of the main methane-contributing pipe sections in the area.

[0056] The dosing unit is located in the dosing well after the pump station at the beginning of the pressure pipeline section. The reagent storage tank is made of 316L stainless steel, with a volume of 5 cubic meters, storing a 30% calcium nitrate solution. The metering pump is a hydraulic diaphragm type, with a maximum output of 80 liters / hour, and can be steplessly adjusted within the range of 10% to 100% via a frequency converter. The reagent is injected into the sewage pipeline through a specially laid DN20 dosing pipe, via a check valve and nozzle.

[0057] The monitoring unit is installed in two inspection wells approximately 800 meters and 1800 meters from the injection point. Each well is equipped with a full-spectrum online water quality probe, which can output the measured values ​​of COD, nitrate nitrogen, and dissolved methane in real time.

[0058] The controller employs a segmented control strategy. The system sets dissolved methane control targets at the midpoint and end of each pipe segment. The feedforward channel calculates the theoretical nitrate requirement in real time based on the pump station's effluent COD and flow rate data. The feedback channel uses a variable-speed integral PID algorithm to dynamically adjust the metering pump frequency based on the deviation and trend of the downstream measured methane concentration from the target value. During the initial commissioning phase, the system automatically searched for the optimal dosage ratio that balances methane suppression effect and reagent cost, confirming that approximately 3.2 mg / L of nitrate nitrogen is required to reduce dissolved methane by 1 mg / L.

[0059] Regarding the coordinated operation of the in-situ methane suppression module and the staged methane collection module, in October of that year, a collection unit in the area needed to be shut down for 8 hours due to routine fan maintenance. Upon receiving the maintenance work order, the central control and data management module platform automatically switched the operating mode of the in-situ methane suppression module in the associated pipeline section from "routine baseline addition" to "enhanced suppression mode," temporarily lowering the methane control target value and correspondingly increasing the nitrate dosage. During the maintenance period, online methane monitoring at the end of the pipeline section showed that the concentration remained within the safe limit, and the T2 emergency mode of other collection points was not triggered, verifying the effectiveness of the coordinated operation mechanism.

[0060] V. Implementation of the Preprocessing Module Eight high-load septic tanks were selected as demonstration sites for renovation in the area, located near a large hospital and two concentrated restaurant districts. An integrated modular pretreatment unit was installed in front of the inspection well connecting each septic tank to the municipal branch pipe. The unit integrates a first-stage inclined plate sedimentation zone and a second-stage fixed anaerobic filter zone. The inclined plate sedimentation zone is designed with a surface load of 1.2 cubic meters per square meter per hour, and the filter zone is filled with polypropylene suspended packing material with a specific surface area of ​​500 square meters per cubic meter.

[0061] Operational monitoring data shows that after pretreatment, the average COD concentration of wastewater entering the municipal sewer network decreased from 450-650 mg / L in septic tank effluent to 180-250 mg / L, and the suspended solids concentration decreased from 200-350 mg / L to 60-100 mg / L, with reduction rates of approximately 60% and 70%, respectively. Based on a methanogenesis potential analysis model, this single measure alone can reduce the methane generation potential of the downstream sewer network by approximately 35% to 45%. Simultaneously, a micro-dosing interface is installed after the effluent weir of each pretreatment unit, linked to the area's in-situ methane suppression module. If necessary, a small amount of nitrate can be precisely added based on the residual COD in the effluent, achieving deep linkage between source and process control.

[0062] VI. Case Verification of Multi-condition Cooperative Control Strategy Reference Figure 5 During the implementation of this system, various typical operating conditions were encountered, verifying the correctness and reliability of the collaborative control strategy logic.

[0063] Under normal operating conditions, the climate adaptability dynamic calibration module is in a state of background data accumulation and periodic self-check; the methane staged collection module automatically switches between standby and low flow resource utilization modes according to the methane concentration at each point; the methane in-situ suppression module maintains a low baseline dosing rate in the pressure trunk section; the pretreatment module continuously runs to retain organic matter; the system as a whole is in a stable operating state with low energy consumption and high resource utilization.

[0064] During heavy rain emergency response, the climate adaptability dynamic calibration module is automatically activated, correcting the heavy rain intensity formula and sending updated parameters (design drainage capacity threshold, pump station start-up water level limit, and storage facility early warning capacity) to the urban drainage monitoring and data acquisition module. This enables adaptive adjustments to pump station start-up and shutdown logic, gate opening schemes, and storage tank pre-release capacity strategies. Simultaneously, to prevent damage to monitoring equipment from potential backflow of instantaneous high water levels in manholes during heavy rain, automatic protection commands for fan shutdown and pipeline valve closure are issued to methane collection points at risk of backflow, based on real-time data from rainfall and manhole water level sensors. Simultaneously, the suppression intensity of the in-situ methane suppression module is automatically increased in areas where fans and pipelines are shut down, specifically increasing the dosage of chemicals in areas with high methane generation potential in the corresponding drainage pipelines as a safety precaution. This achieves a dynamic balance between flood control safety and methane safety.

[0065] In emergency situations involving high-concentration methane, specifically when the methane concentration monitored by the methane staged collection module is greater than or equal to the second threshold, the module rapidly executes the highest-priority safety procedures: the fan's operating frequency is instantly increased to its highest setting, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safety treatment pipeline is opened. High-concentration methane gas is extracted from the drainage pipe by the fan and guided to the catalytic oxidation unit deployed at the end of the pipeline network or a regional centralized treatment station for processing. Simultaneously, the in-situ methane suppression module is controlled to increase methane suppression efforts, increasing the dosage of reagents in areas of high methane generation potential in the corresponding drainage pipes to eliminate the risk of methane explosion in the shortest possible time.

[0066] During equipment maintenance, if the methane staged collection module is scheduled to shut down for maintenance or is out of service due to a malfunction in a certain area, the in-situ methane suppression module is controlled to increase the dosage of the corresponding reagent in the area as the main methane control measure to ensure that the pipeline network safety is still reliably guaranteed during the temporary loss of collection function.

[0067] The operational results of this embodiment demonstrate that the system successfully integrates climate-adaptive dynamic response with full-chain methane control. During the entire flood season of a certain year, the waterlogging situation in the demonstration area showed a perceptible improvement compared to previous years with similar rainfall conditions. Simultaneously, the number of T2 high-risk alarms at all methane monitoring points in the area decreased by approximately 78% compared to a full year before the system's operation. According to preliminary calculations by the carbon accounting platform, annual direct methane emissions were reduced by approximately 65%-70%, while the overall power consumption of the system only increased by approximately 12% compared to the traditional operating mode, achieving a good balance of environmental, safety, and economic benefits.

[0068] Based on the same inventive concept, a low-carbon operation method for drainage network scheduling and in-situ suppression in conjunction with climate-adaptive dynamic calibration is proposed, including: The system determines whether there is a risk of heavy rain based on real-time weather data. If a heavy rain risk is determined, the heavy rain intensity formula is calibrated based on the real-time weather data. The pipeline hydraulic model simulates the flow process of rainwater in the drainage pipes based on the calibrated heavy rain intensity formula, and outputs updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity. Based on the updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity, the system adaptively adjusts the pump station start-up and shutdown logic, gate opening scheme, and storage tank pre-release capacity easing strategy. If there is no risk of heavy rain, maintain a low baseline dosage rate in areas with high methane production potential in the pre-determined drainage pipes; if there is a risk of heavy rain and the fans and pipes in the drainage pipes are shut down, increase the dosage in areas with high methane production potential in the pre-determined drainage pipes to inhibit methane production through microbial metabolic pathways.

[0069] In an optional implementation, the method further includes: At the connection inspection well between the septic tank and the drainage pipe network or upstream, physical components are used to intercept suspended solids and biodegradable organic matter in the septic tank outflow, so as to reduce the methanogenic potential downstream of the drainage pipe network. The physical components include one or more of the following: a high-efficiency solid-liquid separator, an anaerobic biological filter, or a submerged membrane bioreactor. Micro-dosing points are set at the outlet weir or connecting pipe section of the physical component; the micro-dosing points add chemicals when the effluent quality is lower than the water quality threshold, so as to carry out preliminary in-situ inhibition treatment on dissolved easily degradable organic matter that has not been completely intercepted.

[0070] In an optional implementation, the method further includes: A multi-parameter intelligent monitoring network is deployed at key locations in the drainage pipe network where methane is prone to accumulate. When the real-time monitored methane concentration is greater than or equal to the first threshold and less than the second threshold, a high-concentration methane gas is extracted from the drainage pipe by a blower and collected and transported to the urban sewage treatment plant for recycling using a dedicated gas collection pipeline. The first threshold is less than the second threshold. When the real-time monitored methane concentration is greater than or equal to the second threshold, the operating frequency of the blower is instantly adjusted to the highest level, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safe treatment pipeline is opened; the blower extracts high-concentration methane gas from the drainage pipe and guides it to the catalytic oxidation device deployed at the end of the pipeline network or the regional centralized treatment station for safe and harmless treatment of methane.

[0071] In one optional implementation, calibrating the rainstorm intensity formula based on real-time weather data includes: Based on weather data of rainfall events within a long calibration period, a statistical downscaling algorithm is used to globally optimize and update the core parameters of the rainfall intensity formula to obtain the first rainfall intensity formula. When there is a risk of heavy rain and the rainfall intensity is detected to deviate from the prediction range of the first heavy rain intensity formula in real time, the core parameters of the first heavy rain intensity formula are corrected based on the weather data of the heavy rain event within a short calibration period, with the prediction deviation of this heavy rain event as the learning target, to obtain a calibrated heavy rain intensity formula. The calibrated heavy rain intensity formula is used to guide the pipeline network scheduling in the current and short-term future.

[0072] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0073] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, embodiments of this application can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of this application can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0074] This application describes embodiments with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0075] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0076] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0077] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.

[0078] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0079] The above provides a detailed description of the climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system and method provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression collaborative low-carbon operation system, characterized in that, include: The climate adaptability dynamic calibration module determines the risk of heavy rain based on real-time weather data. When a risk of heavy rain is identified, the heavy rain intensity formula is calibrated based on the real-time weather data. The pipeline hydraulic model simulates the flow of rainwater in the drainage pipes based on the calibrated heavy rain intensity formula, and outputs updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity. The updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity are sent to the urban drainage monitoring and data acquisition module to achieve adaptive adjustment of pump station start-up and shutdown logic, gate opening scheme, and storage tank pre-release capacity occupancy strategy. The methane in-situ suppression module maintains a low baseline dosage rate in areas with high methane production potential in the drainage pipes when the climate adaptability dynamic calibration module determines there is no risk of heavy rain; when the climate adaptability dynamic calibration module determines there is a risk of heavy rain and the fans and pipelines in the methane graded collection module are shut down, the dosage of the agent is increased in areas with high methane production potential in the drainage pipes to suppress methane production through microbial metabolic pathways.

2. The climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system according to claim 1, characterized in that, The system also includes: The pretreatment module, located at or upstream of the connection manhole between the septic tank and the drainage network, uses physical components to intercept suspended solids and biodegradable organic matter in the septic tank effluent, thereby reducing the methanogenic potential downstream of the drainage network. The physical components include one or more of the following: a high-efficiency solid-liquid separator, an anaerobic biological filter, or a submerged membrane bioreactor. The methane in-situ inhibition module has a micro-dosing point at the effluent weir or connecting pipe section of the pretreatment module. The micro-dosing point adds a reagent when the effluent quality is lower than the water quality threshold, so as to perform preliminary in-situ inhibition treatment on dissolved easily degradable organic matter that has not been completely intercepted.

3. The climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system according to claim 1, characterized in that, The system also includes: The methane graded collection module deploys a multi-parameter intelligent monitoring network at key locations in the drainage pipe network where methane is prone to accumulate. When the real-time monitored methane concentration is greater than or equal to the first threshold and less than the second threshold, a high-concentration methane gas is extracted from the drainage pipe by a blower and collected and transported to the urban sewage treatment plant for recycling using a dedicated gas collection pipeline. The first threshold is less than the second threshold. When the real-time monitored methane concentration is greater than or equal to the second threshold, the operating frequency of the blower is instantly adjusted to the highest level, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safe treatment pipeline is opened; the blower extracts high-concentration methane gas from the drainage pipe and guides it to the catalytic oxidation device deployed at the end of the pipeline network or the regional centralized treatment station for safe and harmless treatment of methane.

4. The climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system according to claim 1, characterized in that, The formula for calibrating rainstorm intensity based on real-time weather data includes: Based on weather data of rainfall events within a long calibration period, a statistical downscaling algorithm is used to globally optimize and update the core parameters of the rainfall intensity formula to obtain the first rainfall intensity formula. When there is a risk of heavy rain and the rainfall intensity is detected to deviate from the prediction range of the first heavy rain intensity formula in real time, the core parameters of the first heavy rain intensity formula are corrected based on the weather data of the heavy rain event within a short calibration period, with the prediction deviation of this heavy rain event as the learning target, to obtain a calibrated heavy rain intensity formula. The calibrated heavy rain intensity formula is used to guide the pipeline network scheduling in the current and short-term future.

5. The climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system according to claim 1, characterized in that, The methane in-situ suppression module includes: a dosing unit, a monitoring unit, and an intelligent control unit; The dosing unit includes a corrosion-resistant agent storage tank, a precision metering pump driven by a vector frequency converter, and multi-point dosing nozzles installed in the pipeline. The monitoring unit is installed at the full reaction distance downstream of the dosing point, determined by hydraulic calculation, and is equipped with an online multi-parameter water quality analyzer to monitor the concentration of dissolved methane, chemical oxygen demand, and residual nitrate in real time. The intelligent control unit has a feedforward channel that calculates the theoretical dosage based on the chemical oxygen demand concentration and pipeline flow rate, using the stoichiometric relationship of denitrification to quickly compensate for load fluctuations. The feedback channel of the controller dynamically adjusts the theoretical dosage based on the deviation between the dissolved methane concentration and the set control target value and its changing trend. When the downstream residual nitrate concentration is detected to reach the preset allowable upper limit to prevent secondary pollution, the increase in dosage is automatically limited.

6. The climate-adaptive dynamic calibration drainage network scheduling and in-situ suppression coordinated low-carbon operation system according to claim 1, characterized in that, The methane in-situ suppression module Under normal operating conditions, a low baseline dosing rate is maintained in areas with high methane generation potential in pre-determined drainage pipelines as a conventional emission reduction measure and load-sharing mechanism for the methane staged collection module. The normal operating conditions refer to operating conditions without rainstorm events and without equipment maintenance of the methane staged collection module. During equipment maintenance of the methane staged collection module, increasing the dosage of reagents in the corresponding area is the main methane control measure.

7. A method for coordinated low-carbon operation of drainage network scheduling and in-situ suppression with climate-adaptive dynamic calibration, characterized in that, include: Determine the risk of heavy rain based on real-time weather data; If a risk of heavy rain is determined, the heavy rain intensity formula is calibrated based on the real-time weather data. The pipeline hydraulic model simulates the flow of rainwater in drainage pipes based on the calibrated rainstorm intensity formula, and outputs updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity. Based on the updated design drainage capacity thresholds, pump station start-up water level limits, and storage facility early warning capacity, the model adaptively adjusts the pump station start-up and shutdown logic, gate opening scheme, and storage tank pre-release capacity vacancy strategy. If there is no risk of heavy rain, maintain a low baseline dosage rate in areas with high methane production potential in the pre-determined drainage pipes; if there is a risk of heavy rain and the fans and pipes in the drainage pipes are shut down, increase the dosage in areas with high methane production potential in the pre-determined drainage pipes to inhibit methane production through microbial metabolic pathways.

8. The method for coordinated low-carbon operation of drainage network scheduling and in-situ suppression with climate-adaptive dynamic calibration according to claim 7, characterized in that, The method further includes: At the connection inspection well between the septic tank and the drainage pipe network or upstream, physical components are used to intercept suspended solids and biodegradable organic matter in the septic tank outflow, so as to reduce the methanogenic potential downstream of the drainage pipe network. The physical components include one or more of the following: a high-efficiency solid-liquid separator, an anaerobic biological filter, or a submerged membrane bioreactor. Micro-dosing points are set at the outlet weir or connecting pipe section of the physical component; the micro-dosing points add chemicals when the effluent quality is lower than the water quality threshold, so as to carry out preliminary in-situ inhibition treatment on dissolved easily degradable organic matter that has not been completely intercepted.

9. The method for coordinated low-carbon operation of drainage network scheduling and in-situ suppression with climate-adaptive dynamic calibration according to claim 7, characterized in that, The method further includes: A multi-parameter intelligent monitoring network is deployed at key locations in the drainage pipe network where methane is prone to accumulate. When the real-time monitored methane concentration is greater than or equal to the first threshold and less than the second threshold, a high-concentration methane gas is extracted from the drainage pipe by a blower and collected and transported to the urban sewage treatment plant for recycling using a dedicated gas collection pipeline. The first threshold is less than the second threshold. When the real-time monitored methane concentration is greater than or equal to the second threshold, the operating frequency of the blower is instantly adjusted to the highest level, the valve leading to the resource recovery pipeline is closed, and the valve leading to the safe treatment pipeline is opened; the blower extracts high-concentration methane gas from the drainage pipe and guides it to the catalytic oxidation device deployed at the end of the pipeline network or the regional centralized treatment station for safe and harmless treatment of methane.

10. The method for coordinated low-carbon operation of drainage network scheduling and in-situ suppression with climate-adaptive dynamic calibration according to claim 7, characterized in that, The formula for calibrating rainstorm intensity based on real-time weather data includes: Based on weather data of rainfall events within a long calibration period, a statistical downscaling algorithm is used to globally optimize and update the core parameters of the rainfall intensity formula to obtain the first rainfall intensity formula. When there is a risk of heavy rain and the rainfall intensity is detected to deviate from the prediction range of the first heavy rain intensity formula in real time, the core parameters of the first heavy rain intensity formula are corrected based on the weather data of the heavy rain event within a short calibration period, with the prediction deviation of this heavy rain event as the learning target, to obtain a calibrated heavy rain intensity formula. The calibrated heavy rain intensity formula is used to guide the pipeline network scheduling in the current and short-term future.

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