Intelligent management and control platform for comprehensive treatment and later maintenance of ecological environment of river channel in sponge city

Abstract

The invention provides a sponge city river ecological environment comprehensive treatment and later maintenance intelligent management and control platform, and relates to the technical field of urban water environment treatment. Comprising an Internet of Things sensing layer, the Internet of Things sensing layer is composed of a water quality sensor, a flow monitor and a meteorological station, the multistage ecological purification module comprises a front sedimentation tank, an ecological floating island unit, a biological filter and an artificial wetland, the ecological floating island adopts a modified polyethylene base material to plant stain-resistant aquatic plants, and a biological filler is suspended at the bottom of the floating island; and the intelligent management and control system integrates a dynamic water quality model and an AI algorithm, automatically regulates and controls the aeration equipment, the ecological water replenishing valve and the agent adding device according to real-time data, and realizes dissolved oxygen balance and pollutant reduction of the river channel. Dynamic regulation and control of water quality are achieved through the Internet of Things sensing layer and the AI prediction model, the total nitrogen removal rate is stabilized to be 75% or above, the runoff coefficient in the rainstorm period is reduced to 0.45, and 95% of suspended solids are intercepted.

Description

Technical Field

[0001] The present invention relates to the technical field of urban water environment treatment, and particularly to an intelligent control platform for the comprehensive treatment and post-maintenance of the ecological environment of sponge city rivers. Background Art

[0002] With the acceleration of the urbanization process, traditional river treatment technologies face multiple challenges:

[0003] Inefficient water resource management: Existing systems mostly rely on manual inspections and single physical interception means, making it difficult to dynamically respond to water quality fluctuations (such as sudden changes in ammonia nitrogen and COD concentrations) and extreme weather events (storm runoff impacts), resulting in an increased risk of pollutant diffusion. For example, a conventional sedimentation tank can only treat suspended solids ≥200μm, and the removal rate of dissolved pollutants (such as total phosphorus and heavy metal ions) is less than 30%.

[0004] Insufficient collaboration with sponge cities: Existing permeable pavements and drainage facilities are not linked with the river purification module. When the SS (suspended solids) load in rainwater runoff exceeds the design standard, it is directly discharged into the river, causing secondary pollution (the turbidity of the river instantaneously rises above 80 NTU during the rainstorm period). At the same time, the rigid design of the slope protection structure (such as a concrete revetment) breaks the ecological continuity between land and water, resulting in a decline in benthic biodiversity of more than 50%.

[0005] Low technology integration: Most solutions adopt the "superposition of single technologies" mode. For example, only chemical agent dosing is used to control algal blooms, lacking the synergy with biological regulation (such as microbial agents) and hydraulic optimization. Long-term operation is likely to cause drug resistance (the algal tolerance threshold increases by 15% annually).

[0006] Therefore, the present invention proposes an intelligent control platform for the comprehensive treatment and post-maintenance of the ecological environment of sponge city rivers. Summary of the Invention

[0007] The present invention provides an intelligent control platform for the comprehensive treatment and post-maintenance of the ecological environment of sponge city rivers to solve the defects in the prior art.

[0008] The present invention provides an intelligent control platform for the comprehensive treatment and post-maintenance of the ecological environment of sponge city rivers, including:

[0009] An Internet of Things perception layer, which is composed of a water quality sensor, a flow monitor, and a weather station, and real-time collects river hydrological data and wirelessly transmits it to the cloud server through LoRa;

[0010] A multi-level ecological purification module, which includes a pre-sedimentation tank, an ecological floating island unit, a biological filter, and an artificial wetland. Among them, the ecological floating island uses a modified polyethylene substrate to plant pollution-tolerant aquatic plants, and biological fillers are suspended at the bottom of the floating island;

[0011] Intelligent control system, the intelligent control system integrates a dynamic water quality model and an AI algorithm, automatically regulates the aeration equipment, ecological makeup water valve and chemical dosing device according to real-time data, and realizes the balance of dissolved oxygen in the river and pollutant reduction.

[0012] Preferably, the pre-sedimentation tank is provided with a hydrocyclone separation device, the tank body adopts a stepped structure, a 60-mesh grille is arranged in the first stage to intercept coarse particles, a lamella sedimentation assembly is arranged in the second stage, and a sludge concentration meter is configured at the bottom of the tank to link with a sludge scraper; the biological filter is divided into three layers of packing areas, the upper layer is a zeolite-ceramsite mixed layer with a particle size of 10-15 mm, the middle layer is an activated carbon-manganese sand composite layer with a specific surface area of ≥800 m 2 / g, a nano-aeration pipe network is arranged in the lower layer, the porosity is 35%, and an ultraviolet disinfection module is installed at the water outlet of the filter.

[0013] Preferably, the dynamic water quality model is constructed based on a BP neural network, the input parameters include rainfall intensity, upstream inflow, and industrial sewage outlet location data, and the output is the working condition optimization plan of each purification module; the model training uses a historical monitoring data set with a time span of ≥3 years, predicts the water quality change trend in the next 24 hours through the LSTM algorithm, and combines with the GIS map to display the pollution diffusion path.

[0014] Preferably, the ecological floating island unit is provided with a root induction device, which includes a vertical diversion pipe and a horizontal fixing net, and the diversion pipe is filled with a slow-release microbial preparation; solar warning lights and fish migration channels are installed at the edge of the floating island, and the inner wall of the channel is coated with a bionic coating to reduce water flow resistance.

[0015] Preferably, the intelligent control system includes a maintenance decision-making module, which is built with an equipment life prediction model and a maintenance cost optimization algorithm; when the sensor detects that the equipment efficiency drops by 10% or the energy consumption rises by 15%, an overhaul work order is automatically generated and pushed to the mobile terminal of the maintenance personnel, and the spare parts inventory database is updated synchronously.

[0016] Preferably, the constructed wetland adopts a composite flow pattern design, including a surface flow wetland and a subsurface flow wetland; an anti-seepage geomembrane is laid at the bottom of the subsurface flow wetland, and the permeability coefficient is ≤1×10 -7 cm / s, an adjustable water retaining weir plate is arranged inside, and the hydraulic drive device is used to control the water retention time, which can be adjusted from 4 to 8 hours.

[0017] Preferably, the chemical dosing device includes a double-channel metering pump and an in-line mixer, and the chemical types include polyaluminum chloride and potassium peroxymonosulfate compound salt with a dosing amount of 0.5-2 mg / L; the dosing strategy is based on a fuzzy PID control algorithm, and the dosing frequency and dosage are dynamically adjusted according to the feedback value of the turbidity sensor.

[0018] Preferably, the system is equipped with an ecological bank protection structure, which consists of a permeable concrete slope protection with a porosity of 20%, a three-dimensional vegetation net and a gabion retaining wall; temperature sensors and strain gauges are embedded inside the slope protection to monitor the structural stability data and transmit it to the BIM operation and maintenance platform, triggering an early warning when the displacement exceeds 5mm.

[0019] Preferably, the IoT perception layer integrates an edge computing gateway with a built-in data cleaning module for eliminating outliers other than ±3σ and an encrypted transmission protocol based on the AES-256 algorithm; the gateway supports Modbus and MQTT protocol conversion, and can achieve data intercommunication with the municipal drainage network SCADA system.

[0020] Preferably, the platform is provided with a public participation module, which includes a river water quality QR code sign and an AR visualization terminal; after scanning the code, the public can view real-time water quality reports and historical governance records, and submit pollution clues through the APP. The system automatically analyzes the geographic location and starts the traceability investigation procedure.

[0021] The intelligent management and control platform for comprehensive ecological and environmental governance and subsequent maintenance of sponge city rivers provided by the present invention realizes dynamic water quality control through the Internet of Things perception layer and AI prediction model. The total nitrogen removal rate is stabilized at more than 75%, the runoff coefficient during rainstorms is reduced to 0.45, and 95% of suspended solids are intercepted; relying on the synergistic algae inhibition mechanism of ecological floating island root secretions and artificial wetland microorganisms, the algae inhibition rate in summer is increased to 65%, and the flexible bank protection structure restores benthic biodiversity by 50%; an intelligent decision-making system is constructed through the integrated BIM+GIS three-dimensional platform, which supports 20-year flood simulation and achieves a 15-minute response to equipment failure; the use of self-cleaning biological filter media and dynamic backwashing algorithms reduces energy consumption by 40%, and combined with rainwater resource utilization technology, it saves more than 300,000 tons of water annually. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0024] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts belong to the scope of protection of the present invention.

[0025] The following will describe Figure 1 the intelligent management and control platform for the comprehensive treatment of the ecological environment of sponge city river channels and their subsequent maintenance.

[0026] The present invention provides an intelligent management and control platform for the comprehensive treatment of the ecological environment of sponge city river channels and their subsequent maintenance, including:

[0027] The Internet of Things perception layer, which is composed of water quality sensors, flow monitors, and weather stations, and collects river hydrological data in real time and transmits it wirelessly to the cloud server through LoRa;

[0028] The multi-level ecological purification module, which includes a pre-sedimentation tank, an ecological floating island unit, a biological filter, and an artificial wetland. Among them, the ecological floating island uses a modified polyethylene base material to plant pollution-tolerant aquatic plants, and biological fillers are suspended at the bottom of the floating island;

[0029] The intelligent management and control system, which integrates a dynamic water quality model and an AI algorithm, automatically regulates aeration equipment, ecological water replenishment valves, and chemical dosing devices according to real-time data, and realizes the balance of dissolved oxygen in the river channel and the reduction of pollutants.

[0030] The Internet of Things perception layer collects water quality data every 5 minutes and uploads it to the cloud through a LoRa gateway; the intelligent management and control system calls the dynamic model to calculate the optimal aeration volume (for example, start aeration when DO < 2mg / L), and issues instructions to the on-site PLC controller through a 5G module. The multi-level purification module is designed in series (sedimentation → floating island → filter → wetland) to achieve gradient reduction of pollutants, and the roots of the plants on the ecological floating island secrete allelochemicals to inhibit the growth of algae.

[0031] In the specific implementation manner of the present invention, the pre-sedimentation tank is provided with a cyclone separation device, the tank body adopts a stepped structure, a 60-mesh grille is arranged in the first stage to intercept coarse particles, a lamella sedimentation component is arranged in the second stage, and a sludge concentration meter is configured at the bottom of the tank to link with a sludge scraper; the biological filter is divided into three layers of packing areas. The upper layer is a zeolite-ceramsite mixed layer with a particle size of 10-15mm, and the middle layer has a specific surface area of ≥800m 2The activated carbon-manganese sand composite layer is / g, and a nano-aeration pipe network is arranged in the lower layer with a porosity of 35%. An ultraviolet disinfection module is installed at the water outlet of the filter tank. The pre-sedimentation tank removes particles ≥200 μm through hydrocyclone separation (flow velocity 0.3 m / s); the surface loading of the inclined plate sedimentation area is 1.5 m 3 / (m 2 ·h), and the sludge scraper is started when the sludge concentration meter reaches 3000 mg / L; the backwashing cycle of the biological filter is triggered by a differential pressure sensor (ΔP > 15 kPa). The zeolite-ceramsite layer adsorbs ammonia nitrogen through ion exchange, the activated carbon-manganese sand layer catalytically oxidizes organic matter, and nano-aeration improves the oxygen mass transfer efficiency (KLa ≥ 8 h -1 ).

[0032] In a specific embodiment of the present invention, the dynamic water quality model is constructed based on a BP neural network. The input parameters include rainfall intensity, upstream water inflow, and industrial sewage outlet location data, and the output is the working condition optimization scheme of each purification module; the model training uses a historical monitoring data set with a time span of ≥ 3 years, predicts the water quality change trend in the next 24 hours through the LSTM algorithm, and combines with a GIS map to display the pollution diffusion path. The dynamic model performs rolling optimization every 1 hour, inputs meteorological forecast data to correct the treatment parameters in the next 6 hours; the GIS map overlays the pollution source database (the coordinate error of the industrial sewage outlet ≤ 1 m) to generate a heat map to guide emergency response. The memory unit of the LSTM network retains the long-term water quality change characteristics, and the attention mechanism weights the key time step data (such as 2 hours before heavy rain).

[0033] In a specific embodiment of the present invention, the ecological floating island unit is provided with a root induction device, which includes a vertical diversion pipe and a horizontal fixing net, and the diversion pipe is filled with a slow-release microbial agent; solar warning lights and fish migration channels are installed at the edge of the floating island, and the inner wall of the channel is coated with a bionic coating to reduce water flow resistance. The diameter of the diversion pipe of the root induction device is 200 mm, and the slow-release microbial agent (dosage 0.2 g / m 3 / d) is released through diffusion holes; the bionic coating reduces the water flow shear force (the turbulent kinetic energy decreases by 40%) and promotes fish to pass through the migration channel. The vertical diversion pipe forms a local low-oxygen area, which promotes denitrification by denitrifying bacteria (the removal rate of NO 3- -N ≥ 85%).

[0034] In a specific embodiment of the present invention, the intelligent management and control system includes a maintenance decision module with a built-in equipment life prediction model and maintenance cost optimization algorithm; when the sensor detects that the equipment efficiency drops by 10% or the energy consumption increases by 15%, a maintenance work order is automatically generated and pushed to the maintenance personnel's mobile terminal, and the spare parts inventory database is updated simultaneously. The maintenance decision module synchronously analyzes equipment operation data (such as water pump current fluctuations > 10%) and inventory information, and gives priority to dispatching personnel from the nearest maintenance station (response time ≤ 30 minutes). The Weibull distribution model integrates historical equipment failure data (such as bearing wear curves) to predict the remaining useful life (RUL).

[0035] In a specific embodiment of the present invention, the artificial wetland adopts a composite flow pattern design, including a surface flow wetland and a subsurface flow wetland; an anti-seepage geomembrane is laid at the bottom of the subsurface flow wetland, and the permeability coefficient is ≤1×10 -7 cm / s, with an adjustable water retaining weir plate inside, and the water retention time is controlled by a hydraulic drive device, which can be adjusted from 4 to 8 hours. The artificial wetland adjusts the water depth through the weir plate (0.3m in dry season and 0.5m in rainy season), and the hydraulic retention time is 8 hours (COD load 2kg / (m 3 d) Double weld testing (air pressure test ≥ 0.2 MPa) is used at the joints of the anti-seepage membrane. Surface flow wetlands reduce flow velocity through the damping effect of plant stems, and subsurface flow wetland fillers absorb phosphorus (Langmuir model Qmax = 12 mg / g).

[0036] In a specific embodiment of the present invention, the reagent dosing device includes a dual-channel metering pump and an inline mixer. The reagent types include polyaluminum chloride and potassium persulfate complex salt at a dosage of 0.5-2 mg / L. The dosing strategy is based on a fuzzy PID control algorithm, dynamically adjusting the dosing frequency and dosage based on the feedback value of the turbidity sensor. The dual-channel metering pumps respectively add polyaluminum chloride (0.5-2 mg / L) and potassium persulfate (0.1-0.5 mg / L). The inline mixer speed is adjusted based on the turbidity feedback value (increased to 2000 rpm when NTU>15). The fuzzy PID dynamically adjusts the integration time (Ti=10-60s) based on the rate of change of turbidity to avoid overshoot (steady-state error ≤±5%).

[0037] In a specific embodiment of the present invention, the system is equipped with an ecological revetment structure consisting of a 20% porosity permeable concrete slope, a three-dimensional vegetation net, and a gabion retaining wall. Temperature sensors and strain gauges are embedded within the slope to monitor structural stability data and transmit it to the BIM operation and maintenance platform. When displacement exceeds 5mm, an early warning is triggered. Pre-embedded sensors in the ecological slope monitor temperature gradients (providing a frost heave warning when ΔT > 5°C / m). The three-dimensional vegetation net is sprayed with a mixed grass seed (ryegrass:tall fescue = 3:1). The gabion retaining wall has a porosity of 35% to retain rainwater. The permeability coefficient of the permeable concrete slope is 1×10 -3cm / s, reducing the peak runoff by 30%.

[0038] In a specific embodiment of the present invention, the Internet of Things perception layer integrates an edge computing gateway, which is built-in with a data cleaning module for removing outliers outside ±3σ and an encrypted transmission protocol of the AES-256 algorithm; the gateway supports Modbus and MQTT protocol conversions and can achieve data interconnection with the SCADA system of the municipal drainage network. The edge computing gateway performs data cleaning (removing outliers outside ±3σ) and pushes the encrypted data to the municipal SCADA system through the MQTT protocol; the baud rate for parsing the Modbus RTU protocol is 19,200 bps. The AES-256 encryption uses the CBC mode, and the initialization vector (IV) is updated every 10 minutes.

[0039] In a specific embodiment of the present invention, the platform is provided with a public participation module, including a river water quality QR code sign and an AR visualization terminal; after the public scans the code, they can view the real-time water quality report, historical treatment records, and submit pollution clues through the APP. The system automatically analyzes the geographical location and starts the traceability and investigation program. After the public uploads a pollution photo through the APP, the system calls an image recognition model (YOLOv5) to detect oil stains / garbage and starts drone inspections in combination with GPS positioning (accuracy 5m). The AR visualization terminal overlays virtual water quality tags based on SLAM technology (refresh rate 60Hz), and the QR code encoded data is encrypted using Base64.

[0040] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart control platform for the comprehensive ecological environment treatment and post-maintenance of sponge city river channels, characterized in that, include: The IoT perception layer consists of water quality sensors, flow monitors, and weather stations, which collect river hydrological data in real time and transmit it to the cloud server via LoRa wireless. A multi-stage ecological purification module, comprising a pre-sedimentation tank, an ecological floating island unit, a biological filter, and an artificial wetland. The ecological floating island uses a modified polyethylene substrate to plant pollution-resistant aquatic plants, and biological fillers are suspended at the bottom of the floating island; An intelligent management and control system integrates a dynamic water quality model and AI algorithm to automatically adjust aeration equipment, ecological water replenishment valves, and chemical dosing devices based on real-time data to achieve dissolved oxygen balance in the river and reduce pollutants.

2. The intelligent management and control platform for comprehensive treatment and post-maintenance of the ecological environment of sponge city river channels according to claim 1, characterized in that, The pre-sedimentation tank is equipped with a cyclone separation device. The tank body adopts a stepped structure. The first stage is equipped with a 60-mesh screen to intercept coarse particles. The second stage is equipped with an inclined plate sedimentation component. The bottom of the tank is equipped with a sludge concentration meter linked to a scraper. The biological filter is divided into three layers of filling area. The upper layer is a zeolite-ceramsite mixed layer with a particle size of 10-15 mm, and the middle layer is a specific surface area ≥800 m 2 / g activated carbon-manganese sand composite layer, a nano aeration network is set in the lower layer with a porosity of 35%, and an ultraviolet disinfection module is installed at the water outlet of the filter.

3. The intelligent management and control platform for the comprehensive treatment and post-maintenance of the ecological environment of sponge city river channels according to claim 1, characterized in that, The dynamic water quality model is constructed based on a BP neural network. The input parameters include rainfall intensity, upstream water volume, and industrial sewage outlet location data. The output is the operating condition optimization plan of each purification module. The model training uses a historical monitoring data set with a time span of ≥3 years. The LSTM algorithm is used to predict the water quality change trend in the next 24 hours, and the pollution diffusion path is displayed in combination with a GIS map.

4. The sponge city river ecological environment comprehensive treatment and post-maintenance intelligent control platform according to claim 1, characterized in that The ecological floating island unit is equipped with a root induction device, which includes a vertical diversion pipe and a horizontal fixed net. The diversion pipe is filled with a slow-release microbial preparation. Solar warning lights and fish migration channels are installed on the edge of the floating island. The inner wall of the channel is coated with a bionic coating to reduce water flow resistance.

5. The intelligent management and control platform for comprehensive treatment and later maintenance of the ecological environment of sponge city river channels according to claim 1, characterized in that The intelligent management and control system includes a maintenance decision-making module with a built-in equipment life prediction model and maintenance cost optimization algorithm. When sensors detect a 10% drop in equipment efficiency or a 15% increase in energy consumption, a maintenance work order is automatically generated and pushed to the maintenance personnel's mobile terminal, and the spare parts inventory database is simultaneously updated.

6. The sponge city river ecological environment comprehensive management and later maintenance intelligent control platform according to claim 1, characterized in that, The constructed wetland adopts a composite flow pattern design, including a surface flow wetland and a subsurface flow wetland; an anti-seepage geomembrane is laid at the bottom of the subsurface flow wetland, with a permeability coefficient ≤ 1×10 -7 cm / s. An adjustable water retaining weir plate is arranged inside, and the hydraulic drive device is used to control the water residence time, which can be adjusted from 4 to 8 hours.

7. The sponge city river ecological environment comprehensive treatment and post-maintenance intelligent control platform according to claim 1, characterized in that, The drug dosing device includes a dual-channel metering pump and an online mixer. The drug types include polyaluminum chloride and potassium persulfate complex salt with a dosage of 0.5-2 mg / L. The dosing strategy is based on a fuzzy PID control algorithm, and the dosing frequency and dosage are dynamically adjusted according to the feedback value of the turbidity sensor.

8. The intelligent management and control platform for comprehensive treatment and later maintenance of the ecological environment of sponge city river channels according to claim 1, characterized in that The system is equipped with an ecological bank protection structure, which consists of a permeable concrete slope protection with a porosity of 20%, a three-dimensional vegetation net and a gabion retaining wall; temperature sensors and strain gauges are embedded inside the slope protection to monitor structural stability data and transmit it to the BIM operation and maintenance platform, triggering an early warning when the displacement exceeds 5mm.

9. The intelligent management and control platform for comprehensive treatment and later maintenance of the ecological environment of sponge city river channels according to claim 1, characterized in that, The IoT perception layer integrates an edge computing gateway, a built-in data cleaning module that eliminates outliers outside ±3σ, and an encrypted transmission protocol using the AES-256 algorithm; the gateway supports Modbus and MQTT protocol conversion, enabling data interoperability with the municipal drainage network SCADA system.

10. The intelligent management and control platform for comprehensive treatment and later maintenance of the ecological environment of sponge city river channels according to claim 1, characterized in that, The platform has set up a public participation module, including a river water quality QR code sign and an AR visualization terminal; after scanning the code, the public can view real-time water quality reports and historical governance records, and submit pollution clues through the APP. The system automatically analyzes the geographic location and starts the traceability investigation procedure.

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