Intelligent management method for controlling sewage to enter river and supplementing water to riverway to improve water quality

Abstract

The invention relates to an intelligent management method for improving water quality by controlling sewage to enter a river and supplementing water to a riverway, and belongs to the technical field of intelligent control of water supply and drainage facilities. According to the method, by integrating a valve control system, a detection system, a pump station control system, a high-quality water resource circulating system and a central system, efficient utilization and comprehensive management of reclaimed water resources are achieved. The core of the system comprises power supply mode switching based on battery electric quantity monitoring, valve flow and water quality linkage control, pump station water level and equipment automatic regulation and control, a water resource closed-loop circulation process, and a pollution discharge early warning, fault alarm and remote diagnosis mechanism. The method improves the water quality stability and emergency response capability of the river channel through the centralized control of the cloud platform, is suitable for the scenes of black and odorous water treatment and the like, and has the advantages of low maintenance cost, all-weather monitoring and accurate control.

Description

Technical Field

[0001] This invention relates to the field of intelligent water replenishment control technology, and in particular to an intelligent management method for controlling sewage entering rivers and replenishing water in rivers to improve water quality. Background Technology

[0002] With rapid urban development, problems with drainage networks have gradually emerged: outdated early designs, aging and incorrect connections in the network, illegal sewage discharge by businesses or individuals, misconnection of domestic sewage to the ground, and pollutants carried by surface runoff have all contributed to river pollution and even black and smelly water. Due to the difficulty in early network inspection and maintenance, some problems are hard to resolve completely, and sewage still accumulates in rivers during the non-flood season, requiring the use of water replenishment pumping stations and pipelines to maintain water quality standards.

[0003] Current technologies lack intelligent management methods for underground water replenishment systems, with most cities relying on manual inspections and operations. This results in low efficiency, poor accuracy in opening control, and difficulty in real-time monitoring of the pipeline network status. Problems such as pipeline damage and pump station malfunctions are difficult to detect in a timely manner, leading to decreased water replenishment efficiency and further exacerbating river water quality deterioration. Therefore, there is an urgent need for an intelligent management method that can achieve efficient synergy between wastewater discharge control and river water quality improvement through real-time monitoring, precise control, and intelligent scheduling. Summary of the Invention

[0004] In view of the above-mentioned existing problems, the present invention provides an intelligent management method for controlling sewage entering rivers and improving water quality through river replenishment, so as to solve problems such as low efficiency of water replenishment utilization, insufficient accuracy, unclear sewage entry points, cumbersome water quality testing process, delayed water replenishment scheduling, and waste of manpower.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: A smart management method for controlling sewage discharge into rivers and improving water quality through river replenishment is based on the construction of an intelligent management system integrating monitoring, analysis, decision-making, execution, and evaluation. This method includes the following key steps: System Integration and Energy Communication Assurance: This system integrates a diversified power supply system (including renewable energy, backup power, and energy storage), redundant communication networks (primary IoT + backup satellite links), intelligent control devices (valves, gates, pumps), multi-parameter monitoring systems (water quality, water level, flow rate, and visual monitoring), alarm systems, a cloud-based central system, and water resource recycling devices. Intelligent switching strategies ensure uninterrupted power supply and smooth communication, especially in disaster emergency scenarios.

[0006] Real-time monitoring and intelligent linkage control: Through sensor arrays and camera networks deployed at key nodes (pipelines, outlets, and waterways), water quality parameters (pH, dissolved oxygen, turbidity, ammonia nitrogen, COD, etc.), hydrological data (water level, flow rate), and equipment status information are collected in real time around the clock. Intelligent analysis algorithms process the data and dynamically link and control valve opening and closing, pump start / stop and frequency, and gate raising and lowering, achieving precise interception of sewage entering rivers, scientific allocation of river replenishment, and optimization of water circulation, thereby rapidly responding to water quality changes and improving water quality.

[0007] Centralized Cloud-Based Analysis and Decision Support: The platform centrally processes massive data streams from various subsystems (energy, communication, monitoring, and control) on a cloud platform. Core platform functions include: wastewater discharge risk prediction, real-time water quality analysis and compliance time estimation, equipment fault early warning and cause analysis, and generation of optimized water replenishment / sewage interception strategies. Through a visual multi-terminal interactive interface (such as Web and mobile APP), it enables global data display, remote equipment diagnostics, collaborative control command issuance, and maintenance work order management.

[0008] Equipment Maintenance and System Optimization: Key equipment (such as water pumps, valve motors, and sensors) adopts standardized interfaces and a detachable modular design, supporting rapid replacement and low-complexity maintenance. By combining real-time equipment operating data, historical maintenance records, and monitoring data, a health status assessment and lifespan prediction model is constructed to guide the development of preventative maintenance plans, spare parts inventory management, equipment upgrades and iterations, and adaptive improvements to the system in different application scenarios.

[0009] Closed-loop water resource recycling: Integrating closed-loop water resource treatment technology, by setting up pump pits and water quality detectors at the end of the river channel, water that meets the water quality standards is pumped back to the upstream pipeline system for recycling when water replenishment is insufficient, which significantly improves the efficiency of water resource utilization.

[0010] Through the above technical solutions, this invention constructs a full-process intelligent management system of "monitoring-analysis-decision-execution-evaluation", which realizes precise control of sewage entering rivers, scientific and efficient river replenishment, and continuous and stable improvement of water quality, providing comprehensive technical support for scenarios such as black and odorous water body treatment and watershed ecological restoration. Attached Figure Description To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Figure 1 This is a flowchart of an outdoor intelligent management method integrating power communication and living facilities, as described in Example 1. Detailed Implementation

[0011] The technical solution of the present invention will be described in detail below with reference to preferred embodiments, but the scope of protection of the present invention is not limited thereto.

[0012] Implementation of a diversified power supply system: The system integrates solar panels, energy storage battery packs, and diesel / gasoline generators (as emergency power). It is equipped with an intelligent power monitoring unit to monitor the mains power status and battery SOC in real time. When the mains power is interrupted and the battery charge falls below a set threshold (e.g., 20%), the system automatically starts the generator to power critical equipment and charge the battery; when solar energy is abundant, it prioritizes solar power supply and battery charging. This design ensures the system operates 24 / 7 without interruption.

[0013] Redundant communication architecture implementation: Under normal conditions, all devices communicate with the cloud platform via the Internet of Things (e.g., 4G / 5G / NB-IoT / LoRaWAN). In extreme disaster scenarios (such as floods or earthquakes causing terrestrial network paralysis), satellite communication terminals (such as BeiDou and Iridium) deployed at key nodes (such as pumping stations and command centers) are automatically activated to establish emergency satellite links, ensuring the transmission of critical control commands, alarm information, and core monitoring data. Camera and sensor data can be transmitted back via satellite links, providing low-resolution key images or summary information.

[0014] Monitoring network deployment and parameter acquisition: Water quality multi-parameter sensors (detecting pH value with an accuracy of ±0.02; dissolved oxygen DO with an accuracy of ±0.1 mg / L; turbidity with an accuracy of ±1 NTU; ammonia nitrogen with an accuracy of ±0.05 mg / L; temperature, etc.), water level gauges, and flow meters are deployed at locations such as suspected sewage inflow points into rivers, key branching points of the pipeline network, river outlets, and river segment nodes.

[0015] High-definition network cameras (with night vision capabilities) are installed at key sewage outlets and critical sections of rivers to monitor in real time the color of drainage, floating debris on the water surface, and the surrounding environment of the equipment. The footage can be viewed on a cloud platform. The sensor data sampling frequency can be set as needed (e.g., once per minute) and transmitted to the cloud in encrypted form.

[0016] Implementation of intelligent control system: Install intelligent electric valves at key nodes in the pipeline network (such as bifurcation points and interception points), which have functions such as opening degree display (0-100%), torque feedback and fault alarm, and support remote cloud control of opening degree.

[0017] Intelligent electric gates are installed at key locations in the pumping station (self-drainage outlet, forebay inlet, and pump outlet) and at the river estuary. These gates also have functions for displaying opening degree, torque, status, and remote control.

[0018] A variable frequency submersible pump is installed in the pump pit at the end of the river channel. It can display the running / stop status, real-time current, and water flow rate, and supports remote start / stop and adjustment of the operating frequency via the cloud to control the water replenishment flow.

[0019] Example of intelligent linkage control logic: When the ammonia nitrogen sensor reading in a certain section of the river continuously exceeds the threshold (e.g., 1.0 mg / L), the cloud platform analyzes the data and automatically instructs the upstream water supply valve to increase its opening (the opening is adjusted according to a preset ratio based on the degree of exceedance), while simultaneously instructing the electric valve of the associated sewage outlet to close.

[0020] When dissolved oxygen (DO) falls below a critical level (e.g., 2 mg / L, the risk threshold for black and odorous water), the platform immediately instructs the aeration and oxygenation equipment and circulating water pumps in that section of the river to be activated, with the goal of raising DO to a safe level (e.g., above 5 mg / L).

[0021] During rainfall, if the turbidity sensor reading at the pipeline outlet suddenly rises (e.g., >50 NTU), it indicates that the initial rainwater is severely polluted. The platform will then close the outlet gate of the rainwater storage tank to intercept the initial rainwater and direct it to the sewage treatment facility to prevent it from being directly discharged into the river.

[0022] Emergency Response: Upon detection of sudden severe pollution (such as an abnormal increase of 300% in COD value at a certain point within a short period of time), a high-level alarm (Level 3 warning) is triggered: all sewage outlet valves upstream of the pollution point are automatically shut off; relevant pumping stations are instructed to carry out emergency water replenishment and dilution at maximum capacity; alarm information is pushed to management personnel through the cloud platform (SMS, APP pop-up, telephone), and the footage from upstream and downstream cameras at the pollution point is automatically retrieved to assist in manual judgment of the pollution source and its spread.

[0023] Modular equipment and intelligent maintenance implementation: Design key vulnerable components or equipment requiring regular maintenance (such as submersible pumps, gate drive motors, and water quality sensor probes) as independent functional modules.

[0024] It adopts a sliding rail installation structure and IP68-rated waterproof and dustproof quick-connect plugs (the electrical interface is designed to prevent mis-insertion, and the fluid pipeline is equipped with a sealing valve that automatically shuts off upon insertion or removal). Module replacement requires no special tools and is easy to operate (for example, the replacement of a sewage pump module in a pumping station can be completed within 15 minutes).

[0025] Each module has a built-in RFID / NFC chip that stores full lifecycle information such as device ID, installation date, and maintenance records. Maintenance personnel can read the information and update the maintenance status using a handheld terminal.

[0026] The cloud platform leverages big data on equipment operation (such as cumulative runtime, number of start-stop cycles, vibration sensor data, and energy consumption trends) and applies predictive maintenance algorithms (e.g., analyzing motor current waveforms and bearing vibration spectra). When potential fault characteristics are detected (e.g., abnormal vibration of a gate motor >0.1mm, or energy consumption increasing by 20% compared to the baseline value), the platform automatically generates a preventative maintenance work order and pushes it to the designated maintenance team. The work order can be linked to the equipment's operation manual and replacement video instructions. The platform manages spare parts inventory, automatically triggering the procurement process when inventory falls below a safety threshold.

[0027] Cloud platform functionality implementation: Visualized Monitoring Center: Utilizes digital twin technology to construct a 3D visualized model of the river and pipeline system. Real-time / historical water quality data (in the form of heat maps, graphs, etc.), equipment status (valve / gate opening, pump on / off status and frequency, current), water supply flow, alarm points, and other information are dynamically overlaid on the model. It supports zooming and rotation to view details of any river section, and the data update frequency is configurable (e.g., full-area data refreshes every 5 minutes, key alarm point data refreshes in real time).

[0028] Predictive Maintenance and Fault Warning: The platform integrates equipment fault prediction models (e.g., based on LSTM or other time-series neural networks) to analyze historical equipment operating data and fault records. It can predict potential faults (such as water pump bearing wear or sensor calibration drift) a certain time in advance (e.g., 24-72 hours) and assess the probability and severity of the fault. Warning information is pushed according to severity level (low level → platform message / email, medium level → SMS, high level → telephone call + automatic dispatch of maintenance work orders). Work orders can include suggested fault diagnosis steps, required spare parts, and information on the location of nearby backup equipment.

[0029] Remote Diagnostics and Collaboration: Authorized engineers can securely access the control systems of field equipment remotely through the platform, read detailed operating logs (such as motor starting current curves and torque records when valves are stuck), and execute diagnostic test commands (such as running the motor under no-load). Combined with augmented reality (AR) technology, engineers can overlay annotations, operation guidance arrows, or excerpts from maintenance manuals onto real-time images transmitted from field maintenance personnel's cameras. For complex and difficult problems, the platform supports initiating multi-party video consultations, sharing real-time data and operational permissions.

[0030] Maintenance Records and Knowledge Management: All maintenance activity records (inspection, maintenance, replacement) are managed through the platform. Records include time, location, operator, replacement spare parts number, comparison of key parameters before and after maintenance, and maintenance description. Database (or blockchain technology) storage ensures complete, tamper-proof, and traceable records. The platform automatically analyzes maintenance data to generate equipment reliability reports (such as MTBF - Mean Time Between Failures), maintenance cost analyses (such as the annual maintenance cost ratio for each pump station and spare parts consumption statistics), and equipment performance rankings, providing data support for optimizing operation and maintenance strategies and procurement decisions.

[0031] Emergency Scenario Response Implementation: Emergency Sewage Interception: Pre-installed rapid-response interception gates (hydraulic or electric, with a lowering response time of <30 seconds) at key sewage outlets. When the pollutant concentration at the outlet is detected to be severely exceeding the standard, the system automatically triggers the gate to rapidly lower, blocking sewage from entering the river. Simultaneously, a pre-installed bypass valve automatically opens, diverting the sewage to the nearest emergency treatment tank (designed treatment capacity ≥500 m³ / h). The emergency treatment tank is equipped with integrated treatment equipment (such as a bar screen, sedimentation tank, and high-efficiency biofilm reactor) for rapid sewage purification.

[0032] Temporary water replenishment support: Standardized emergency water replenishment interfaces (quick-connect flanges) are pre-installed along the river, compatible with the interface standards of municipal water trucks and mobile water pump trucks. In the event of a sudden pollution incident, vehicles from external clean water sources (such as water from nearby reservoirs or effluent from reclaimed water plants) can be dispatched to provide support via a cloud platform. Based on parameters such as the pollution range, pollutant concentration, and river flow velocity, the platform automatically calculates the required water replenishment volume and the optimal water replenishment location, and guides the water replenishment vehicles to the optimal stopping point for rapid water replenishment and dilution via electronic map navigation.

[0033] Emergency Communication Support: In remote river sections or areas with weak network coverage, deploy dual-mode (e.g., BeiDou + Iridium) satellite communication terminals as backup. When terrestrial cellular network and IoT signals are interrupted, the terminals automatically switch to the satellite link to ensure the transmission of critical water quality alarm information, equipment status, and control commands. Equip on-site repair personnel with portable emergency command kits, each with a built-in Mesh self-organizing radio. When personnel enter signal blind spots (such as underpasses or underground pipelines), a temporary wireless communication network can be quickly established within a certain range (e.g., a radius of 1 kilometer), supporting voice communication between team members and the transmission of critical data (such as sensor readings and on-site photos).

[0034] Environmentally Adaptive Design Implementation: Corrosion Protection: All metal components (gates, pump housings, sensor brackets, etc.) that are frequently submerged or exposed to humid environments are preferably made of highly corrosion-resistant materials such as 316L stainless steel. Key surfaces are coated with a high-performance anti-corrosion coating (e.g., polyurea, thickness ≥2mm) to ensure long-term use in a wide range of corrosive water environments with pH values ​​from 3 to 11 (design life ≥15 years). Water quality sensor probes utilize titanium alloy housings or special anti-biofouling coatings to reduce measurement drift and corrosion caused by algae and microorganisms.

[0035] Flood-resistant design: Key equipment such as electrical control cabinets and communication base stations within the pumping station are installed on a concrete platform above the historical highest flood level (designed to meet a 50-year flood standard). The equipment cabinets are equipped with automatic lifting waterproof covers (triggered by a water level sensor, automatically sealing and closing within 3 minutes of a flood warning). Waterproof partitions are installed inside the cabinets, along with an automatic drainage pump (drainage capacity ≥10m³ / h) to ensure that even if there is short-term external flooding (water depth ≤1.5 meters), the critical equipment inside the cabinets can remain dry and operate normally.

[0036] Multifunctional Operating Platform: A modular multifunctional operating platform is installed at routine river inspection points or near key facilities. The platform integrates a foldable work surface (facilitating simple, rapid on-site water quality testing), a lockable emergency supplies storage cabinet (for water quality testing reagents, safety equipment, and commonly used tools), and multiple charging interfaces (supporting charging of inspection drones, handheld terminals, emergency lights, etc.). A solar panel (≥300W) is installed on the top of the platform to provide auxiliary power for the equipment on the platform and small on-site sensors.

[0037] Implementation of Intelligent Early Warning and Source Tracing System: When water quality indicators exceed preset safety thresholds, the system automatically triggers multi-level alarms: on-site equipment issues audible and visual alarms; the cloud platform monitoring interface displays prominent alarm information and locates the location on an electronic map (positioning accuracy error ≤ 5 meters); at the same time, alarm SMS / APP push is sent to the mobile phones of relevant responsible persons.

[0038] Source tracing of pollution: Combining detailed GIS data of the pipeline network, sensor locations, and real-time water flow direction and velocity information, the platform incorporates a hydraulic and water quality diffusion model. When a pollution event is detected, the model can reverse-engineer the possible source paths, diffusion rates, and expected impact range of pollutants, assisting managers in quickly locating suspected illegal discharge points or pipeline ruptures and leaks.

[0039] Effect Evaluation and Optimization: The platform automatically records and generates historical water quality data trend charts (compared by day / week / month / year), supporting comparative analysis with set treatment target values ​​and historical data from the same period. It intuitively displays the water quality improvement effects after the implementation of various measures such as water replenishment regulation and sewage interception projects, providing a scientific basis for the dynamic adjustment and optimization of long-term treatment plans.

[0040] Enhanced emergency response capabilities: Pollution diffusion simulation: Based on real-time monitoring of water flow velocity, river topography, pollutant characteristics (diffusion coefficient), etc., the platform integrates a numerical simulation engine to predict the movement and diffusion trajectory of the pollution plume within a future period of time (such as 24 hours). It dynamically marks and delineates warning zones (no contact), control zones (restricted activities) and safety zones on an electronic map, providing a scientific basis for emergency decisions such as personnel evacuation, traffic control, and water source protection.

[0041] Resource scheduling optimization: The cloud platform establishes an electronic ledger for emergency supplies (such as intercepting fences / oil-absorbing mats, water purification agents, rapid testing kits, backup pumps, etc.), updating inventory quantities and storage locations in real time. When an emergency response is initiated, the platform automatically calculates the optimal resource transportation routes and plans based on the nature and level of the pollution incident, estimated disposal needs (types and quantities of materials), and the geographical locations of the material warehouse and the incident site, generating detailed allocation instructions that include a list of materials, required transport vehicles, and estimated arrival times.

[0042] Post-incident assessment report: After the emergency response is completed, the platform automatically summarizes key process data: pollution occurrence and duration, main response measures and their timing, water quality change curves during the response period, resource consumption, and final recovery results. Based on this data, a standardized emergency response assessment report is automatically generated, analyzing the causes of the incident, evaluating the timeliness and effectiveness of the response measures, summarizing experiences and shortcomings, and proposing improvement suggestions to achieve a closed loop in emergency management.

[0043] This invention, by constructing an intelligent and systematic management method, achieves precise control over sewage discharge into rivers and efficient scheduling of river replenishment, significantly improving the stability of river water quality and the speed of emergency response. Its beneficial effects include: Improve water resource utilization efficiency: Closed-loop recycling technology reduces waste of high-quality water resources; intelligent water replenishment strategies (such as early pump shutdown based on the estimated time to meet standards) avoid excessive water replenishment.

[0044] Precise control and rapid response: Intelligent linkage control based on real-time water quality data can quickly suppress the spread of pollution, accurately adjust water replenishment, and improve the water quality compliance rate.

[0045] Enhanced system reliability and resilience: diversified power and redundant communication ensure uninterrupted system operation; predictive maintenance reduces sudden equipment failures; modular design shortens maintenance time.

[0046] Reduce operation and maintenance costs and manpower dependence: Remote monitoring, diagnosis and control reduce the need for on-site inspections; intelligent analysis and decision support improve operation and maintenance efficiency; precise maintenance reduces equipment wear and tear.

[0047] Enhance emergency management capabilities: Quickly identify pollution, automatically activate emergency measures (pollution interception and water replenishment), and optimize resource allocation to minimize the impact of pollution.

[0048] Provides a scientific basis for decision-making: Comprehensive data collection, visualization, historical comparison and model analysis provide data support and optimization direction for long-term river management.

[0049] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A smart management method for controlling sewage discharge into rivers and improving water quality through river replenishment, characterized in that, Includes the following steps: It integrates power systems, communication systems, control systems, detection systems, alarm systems, central systems, and circulating water replenishment systems. Based on real-time water quality, it achieves efficient utilization and uninterrupted supply of water replenishment through intelligent control valve and pump strategies. It also integrates closed-loop treatment technology for water resource recycling to optimize the resource consumption efficiency of water resource facilities. Deploy monitoring and control equipment to form a network, establish a redundant communication architecture with IoT and backup satellite links, ensure communication coverage in normal scenarios, quickly build an emergency communication network in disaster scenarios, and support remote command and multi-terminal collaboration; By monitoring sensors and intelligent analysis algorithms, the water quality of the river channel, the water quality parameters of the pipeline network and the outflow rate are monitored in real time. The valve control device, pump station control device, alarm device and high-quality water resource circulation device are linked to dynamically optimize the water replenishment and water quality control of the river. Based on a cloud platform, it centrally processes detection, communication and control data streams, executes sewage discharge into rivers prediction, water quality analysis and optimization strategies, and realizes data visualization, remote diagnosis and collaborative distribution of control commands through multi-terminal interactive interfaces; Standardized interfaces and detachable designs enable rapid replacement of critical equipment. By combining monitoring and operational data, an equipment evaluation model is built to guide equipment upgrades and scenario adaptability improvements.

2. The method as described in claim 1, characterized in that, Includes the following steps: The system integrates solar power generation, generators, and energy storage devices through a diversified power supply system, monitoring and responding to mains power outages and battery charge levels. It utilizes satellite communication equipment and an IoT redundancy architecture to ensure remote communication and enhance signal coverage. A real-time water quality, water level, and flow monitoring system is deployed, using cameras and sensors to monitor rivers and pipelines around the clock, supporting remote viewing. An intelligent control system for gates, valves, and pumps is integrated, including limit devices, over-torque protection devices, and intelligent control logic. Fault location display, equipment lifespan estimation, and water quality compliance time estimation functions are configured. Indicators such as pH, dissolved oxygen, turbidity, ammonia nitrogen, temperature, water level, and flow rate of pipeline and river water are uploaded to the central system, linking with intelligent alarm and control systems. A cloud platform provides fault alarm, remote diagnostic, and maintenance record management functions.

3. The method as described in claim 2, characterized in that, The diversified power supply system includes: a green power supply unit consisting of solar panels and energy storage battery packs; and a generator as an emergency power source that automatically starts and fully charges the batteries when solar energy is insufficient.

4. The method as described in claim 2, characterized in that, The specific methods for ensuring remote communication and enhancing signal coverage include: satellite communication equipment for emergency remote communication; the Internet of Things for routine remote communication; and a monitoring network combining cameras and sensors that supports real-time data and video retrieval by a cloud platform.

5. The method as described in claim 2, characterized in that, The intelligent control system further includes: electric valves installed at pipeline branching points and river ends, which can display opening degree, torque and fault status, and support opening degree operation via cloud platform; electric gates installed at pump station discharge outlets, forebay inlets, pump outlets and river outlets, which can display opening degree, torque and fault status, and support opening degree operation via cloud platform; and pumps in the pump pit at the end of the river can display switch status, current and outflow rate, and support switch operation and frequency adjustment via cloud platform.

6. The method as described in claim 2, characterized in that, The detection system further includes: sensors installed at key nodes such as locations with abnormal water quality in pipelines, outlets, and river bifurcations to detect pH value, dissolved oxygen, turbidity, ammonia nitrogen, temperature, water level, and flow rate; and a camera device installed at the river outlet to monitor the color of the discharged water.

7. The method as described in claim 2, characterized in that, The central system further includes: pre-entering tide levels and weather conditions to achieve precise water replenishment; and integrating an analysis module to calculate the time required for river water quality to meet standards, and shutting down water pumps in advance based on the delay in water replenishment to save water resources.

8. The method as described in claim 2, characterized in that, The closed-loop treatment technology for water resource recycling includes: setting up a pump pit and water quality detector in front of the tide gate at the end of the river channel, and pumping qualified water from the end to the pipeline network when the water replenishment is insufficient, so as to realize water recycling.

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