Intelligent aquaculture tail water dynamic precipitation treatment system and control method thereof

Abstract

The application discloses a kind of intelligent breeding tail water dynamic precipitation treatment systems and control method thereof, wherein, system includes flocculation sedimentation tank, dynamic precipitation tank of inclined pipe, intelligent dosing device, internet of things gateway and cloud platform.Flocculation sedimentation tank is installed with frequency conversion driven submersible mixer, and intelligent dosing device includes dosing barrel, electromagnetic pump and micro mixer, and internet of things gateway is connected with frequency converter and electromagnetic pump communication respectively, and the opening and closing of blowdown electromagnetic valve is controlled by on-off output module, and cloud platform is communicated with internet of things gateway by wireless network.The present application realizes flocculation stirring, accurate dosing and automatic sludge discharge of whole process automation and remote management and control by internet of things gateway, effectively improves the removal efficiency of suspended solids in tail water, reduces labor cost and operating energy consumption, and is suitable for aquaculture and industrial water treatment and other fields.

Description

Technical Field

[0001] This invention relates to the field of aquaculture wastewater treatment technology, specifically to an intelligent dynamic sedimentation treatment system for aquaculture wastewater and its control method. Background Technology

[0002] my country is the world's largest aquaculture nation. While high-density, factory-style aquaculture increases production, it also generates large amounts of wastewater rich in uneaten feed, feces, and suspended particulate matter. Direct discharge without effective treatment will lead to eutrophication of receiving water bodies and damage the aquatic ecosystem; while recycling within the aquaculture system will increase disease risks and negatively impact aquaculture efficiency. Sedimentation, as the primary step in wastewater treatment, aims to reduce suspended solids concentration, lessening the load on subsequent biological treatment. Its effectiveness directly determines the final effluent quality of the entire wastewater treatment system.

[0003] Currently, traditional sedimentation processes primarily employ natural gravity settling, supplemented by manual addition of flocculants and local control of submersible mixers operating at a single speed. However, this approach has revealed numerous drawbacks in practical applications. First, the flocculation reaction stage generally lacks precise control. The submersible mixer's speed is typically fixed, unable to be dynamically adjusted based on real-time changes in influent water quality, flow rate, and suspended solids concentration. This leads to incomplete flocculation or excessive shearing of existing flocs, affecting settling efficiency. Simultaneously, flocculant addition relies heavily on manual experience, resulting in significant fluctuations in dosage. This not only wastes the flocculant but may also lead to residual flocculant entering subsequent biological treatment systems, interfering with microbial activity. Furthermore, excessive flocculant may ultimately be discharged into surrounding waters, potentially posing a risk of secondary water pollution. Second, the bottom sludge handling in effluent flocculation sedimentation treatment systems is heavily reliant on manual labor. Traditional sedimentation tanks and inclined tube dynamic sedimentation tanks often require workers to periodically visit the site to open valves for sludge removal. If sludge is not removed in a timely manner, the deposited sludge will undergo anaerobic fermentation, producing gases such as methane and hydrogen sulfide, causing sludge to float, effluent quality to deteriorate, and odor to develop. Excessive sludge removal increases water loss and labor intensity. Furthermore, the various devices in the system operate in isolation, lacking a unified intelligent management platform. Mixers, dosing pumps, sludge discharge pipelines and valves typically operate independently, unable to coordinate actions according to process stages, and lacking remote monitoring and parameter optimization capabilities. In the event of a malfunction or process anomaly, maintenance personnel must go to the site for troubleshooting, resulting in delayed response, high labor costs, and impacting effluent treatment effectiveness.

[0004] Furthermore, existing sedimentation systems have significant shortcomings in data recording and process optimization. Key operating parameters often rely on manual recording, lacking systematic data analysis and making it difficult to form a closed-loop optimization, thus limiting further improvements in suspended solids removal efficiency. Summary of the Invention

[0005] To address the problems existing in the prior art, the purpose of this invention is to provide an intelligent dynamic sedimentation treatment system for aquaculture wastewater and its control method, so as to achieve efficient removal of suspended solids in aquaculture wastewater and intelligent management and control of system operation.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A smart aquaculture wastewater dynamic sedimentation treatment system, comprising: A flocculation sedimentation tank is used to receive aquaculture wastewater and carry out flocculation and sedimentation reactions. A submersible mixer is installed in the flocculation sedimentation tank. The submersible mixer is driven by a frequency converter to accelerate the mixing reaction of flocculant and wastewater. An inclined tube dynamic sedimentation tank is located downstream of the flocculation sedimentation tank. Inclined tube packing is installed inside the tank to further remove suspended solids from the effluent. An intelligent dosing device is connected to the flocculation sedimentation tank and is used to add flocculant solution to the flocculation sedimentation tank. The intelligent dosing device includes a dosing tank, an electromagnetic pump and a micro stirrer. The dosing tank is used to store the flocculant solution, and the micro stirrer and the electromagnetic pump are installed on its top. The electromagnetic pump is used to add the flocculant solution to the flocculation sedimentation tank. The Internet of Things (IoT) gateway, as the core of system control, has a wireless communication module and a digital output module. The IoT gateway is communicatively connected to the frequency converter and the electromagnetic pump, and controls the opening and closing of the sewage solenoid valve through the digital output module. The cloud platform communicates with the IoT gateway via a wireless network for remote monitoring, parameter setting, and alarm push notifications. Both the flocculation sedimentation tank and the inclined tube dynamic sedimentation tank are equipped with sewage outlets at the bottom, which are connected to sewage pipes. The sewage outlets are controlled by the solenoid valves of the sewage pipes.

[0007] Both the IoT gateway and the frequency converter are located inside the intelligent control cabinet.

[0008] The bottom of the flocculation sedimentation tank is connected to the inclined tube dynamic sedimentation tank, and a water passage connection interface is provided at the connection position. The water passage connection interface is equipped with a filter packing bag to intercept residual suspended solids.

[0009] The IoT gateway also includes an analog input module, an analog output module, and a digital input and output module. The analog input module is used to connect to a differential pressure sensor; the analog output module is connected to a frequency converter and can remotely transmit signals to adjust the start / stop and frequency of the frequency converter; the digital input and output module is used to connect to a sewage pipe solenoid valve.

[0010] The cloud platform is connected to the application terminal, allowing users to view the system's operating status and modify process parameters in real time.

[0011] A control method based on the intelligent aquaculture wastewater dynamic sedimentation treatment system described above includes the following steps: Step 1: System initialization. After the IoT gateway is powered on, it establishes a wireless communication connection with the cloud platform. Step 2: Load process parameters. The IoT gateway reads the sedimentation process parameters stored locally or in the cloud. The parameters include the target speed of the submersible mixer, the flocculation reaction time, the electromagnetic pump dosing rate, the sludge discharge cycle, and the sludge discharge duration. Step 3, Water Inlet Flocculation Stage: After the system is started, the IoT gateway controls the frequency converter to drive the submersible mixer to run at the set speed, and at the same time controls the electromagnetic pump to add flocculant solution at the set rate to continue the flocculation reaction time. Step 4, settling stage: After the flocculation reaction is completed, the IoT gateway controls the submersible mixer to stop and the electromagnetic pump to stop, and the tailwater enters the settling stage. Step 5: Sludge discharge control. When the upper limit threshold of the sludge discharge cycle is reached, the IoT gateway opens the sludge discharge solenoid valve through the switch output module to discharge sludge. The sludge discharge duration is automatically closed after reaching the set value. Step 6: Data Upload and Remote Interaction. The IoT gateway uploads system operation status data to the cloud platform via wireless network according to a preset cycle. Users can view the data or issue control commands in real time through the application terminal.

[0012] The water inlet flocculation stage includes a rapid stirring stage and a slow stirring stage, wherein the submersible mixer in the rapid stirring stage rotates at a higher speed than that in the slow stirring stage.

[0013] The sludge discharge cycle and duration are set remotely by the user through the application and synchronized to the IoT gateway via the cloud platform.

[0014] During the water inlet flocculation stage, when the water inlet flow signal is detected, the submersible mixer is started at the set speed and the electromagnetic pump is turned on at the same time.

[0015] By adopting the above solution, this invention achieves automated and intelligent control of the entire effluent flocculation and sedimentation process by integrating and linking the flocculation sedimentation tank, inclined tube dynamic sedimentation tank, intelligent dosing device, IoT gateway, and cloud platform. The submersible mixer, driven by a frequency converter, can automatically adjust its speed according to the process stage, and, in conjunction with the electromagnetic pump, precisely adds flocculant at a set rate, ensuring the flocculation reaction remains in a suitable state. This effectively avoids the problems of insufficient flocculation or floc breakage caused by fluctuations in manual dosing and fixed-speed operation, significantly improving the removal efficiency of suspended solids. The discharge solenoid valve, controlled by the IoT gateway, can automatically discharge sludge according to a preset cycle. This prevents long-term sludge accumulation and anaerobic fermentation that leads to water quality deterioration and odor, while also reducing the labor intensity and water waste associated with manual valve opening and closing. The IoT gateway, as the control core, communicates with the cloud platform via a wireless network. Maintenance personnel can remotely view the equipment's operating status and process parameters through the application, modify parameters such as stirring speed, dosing rate, and sludge discharge cycle at any time, and receive over-limit alarm push notifications, solving the problems of isolated equipment, delayed response, and low sedimentation efficiency in traditional systems. Therefore, this invention improves the efficiency of suspended solids removal and the stability of effluent quality in wastewater treatment, reduces labor costs and overall energy consumption, and realizes intelligent control of the dynamic sedimentation treatment system for aquaculture wastewater. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the processing system of the present invention; Figure 2 This is a schematic diagram of the intelligent dosing device of the present invention; Figure 3 This is a flowchart of the control method of the present invention.

[0017] Label Explanation: Flocculation sedimentation tank 1; Submersible mixer 2; Inverter 3; Inclined tube dynamic sedimentation tank 4; 51. Dosing tank; 52. Electromagnetic pump; 53. Miniature mixer; IoT Gateway 6; Cloud Platform 7; 8 intelligent control cabinets; 9. Filter media bag. Detailed Implementation

[0018] like Figure 1 and Figure 2 As shown, the present invention discloses an intelligent effluent dynamic sedimentation treatment system, which includes a flocculation sedimentation tank 1, an inclined tube dynamic sedimentation tank 4, an intelligent dosing device, an Internet of Things gateway 6, and a cloud platform 7.

[0019] The flocculation sedimentation tank 1 has an area of ​​20-60 m² and a depth of 1.2-2.5 m. This flocculation sedimentation tank 1 is mainly used to collect aquaculture wastewater. A submersible mixer 2 is installed inside the flocculation sedimentation tank 1. The submersible mixer 2 is driven by a frequency converter 3, with a voltage of 380V, a power of 0.75-1.5kW, and a rated speed of 1420 r / min. It is vertically installed, and the speed ratio of the reducer is 1:6, used to accelerate the mixing reaction of the flocculant and the wastewater.

[0020] The flocculation sedimentation tank 1 is connected to an intelligent dosing device. Under the synergistic action of the submersible mixer 2 and the intelligent dosing device, suspended solids in the effluent undergo flocculation and sedimentation, achieving the effect of reducing suspended solids in the effluent. This intelligent dosing device includes a dosing tank 51, an electromagnetic pump 52, and a micro-mixer 53. The dosing tank 51 is mainly used to store PAM flocculant solution, with a capacity of 200-1000L. It is equipped with a water inlet, a feeding inlet, and a water outlet. The water inlet is used for mixing with the flocculant, the feeding inlet is used for adding PAM flocculant, and the water outlet is used for draining water after cleaning the tank. The micro-mixer 53 and the electromagnetic pump 52 are installed above the dosing tank 51. The micro-mixer 53 operates at 220V, 0.5-1.0kW, and 50Hz, and is used to accelerate the dissolution and mixing of PAM. An electromagnetic pump 52 is installed on top of the dosing tank 51, with its suction pipe inserted into the bottom of the tank and its output pipe connected to the dosing port of the flocculation sedimentation tank 1. It is used to add PAM flocculant to the flocculation sedimentation tank 1 at a set frequency. The electromagnetic pump 52 operates at 220V, has a power of 50-150W, a head of 2-4m, and a flow rate of 10-70L / h. It has a built-in RS485 interface, follows the Modbus RTU protocol, and receives remote start / stop and dosing rate adjustment commands from the gateway. The electromagnetic pump 52 is connected to the IoT gateway 6 via the RS485 bus, and the micro-mixer 53 is connected to the digital output module of the IoT gateway 6, enabling remote mixing and precise dosing of the drug.

[0021] The bottom of the flocculation sedimentation tank 1 is connected to the inclined tube dynamic sedimentation tank 4, and a water connection interface is provided at the connection position. The water connection interface is equipped with a filter bag 9, which is a polyethylene mesh bag filled with zeolite and other filter media, and is used to help intercept the residual suspended solids in the tailwater after flocculation and sedimentation.

[0022] The inclined tube dynamic sedimentation tank 4 is located downstream of the flocculation sedimentation tank 1. This tank is equipped with honeycomb-shaped inclined tube packing material for further sedimentation of unsettled flocs and smaller suspended solids in the effluent. Both the flocculation sedimentation tank 1 and the inclined tube dynamic sedimentation tank 4 have discharge outlets at their bottoms, connected to discharge pipes. These outlets are controlled by solenoid valves. The solenoid valves have a diameter of DN100-300, a voltage of 220V, and a power of 20W-100W. They are connected to the switch output module of the IoT gateway 6, enabling remote control of the solenoid valves to open and close and automatically operate according to a preset discharge cycle.

[0023] The IoT gateway 6, model CX-5104L, serves as the system control core. It is equipped with a 4G antenna for remote wireless communication and features a power supply interface (12V 1A power adapter), analog input module (AI), analog output module (AO), digital input and output module, and RS485 communication module. The gateway uses the Modbus RTU protocol via RS485 bus to achieve bidirectional data exchange with the frequency converter 3 and solenoid pump 52. Simultaneously, it acquires data from the differential pressure sensor through the analog input module, and the analog output module is connected to the frequency converter 3, enabling remote signal transmission to adjust the start / stop and frequency of the frequency converter 3. The digital input and output module is used to connect to the sewage pipe solenoid valve. In this embodiment, both the IoT gateway 6 and the frequency converter 3 are housed within the intelligent control cabinet 8.

[0024] The cloud platform 7 communicates with the IoT gateway 6 via the MQTT protocol, providing remote monitoring, parameter setting, and alarm push functions. Users can view real-time data, modify process parameters, and receive alarm information through a mobile app or web interface.

[0025] Based on the above system, such as Figure 2 As shown, the present invention also provides a control method for an intelligent aquaculture wastewater dynamic sedimentation treatment system, comprising the following steps: Step 1: System initialization. After the IoT gateway 6 is powered on, it establishes a wireless communication connection with the cloud platform 7. Step 2: Load process parameters. The IoT gateway 6 reads the sedimentation process parameters stored locally or in the cloud. The parameters include the target speed of the submersible mixer 2, the flocculation reaction time, the acceleration rate of the electromagnetic pump 52, the sludge discharge cycle, and the sludge discharge duration. Step 3, Water Inlet Flocculation Stage: After the system is started, the IoT gateway 6 controls the frequency converter 3 to drive the submersible mixer 2 to run at the set speed, and at the same time controls the electromagnetic pump 52 to add flocculant solution at the set rate to continue the flocculation reaction time. Step 4, settling stage: After the flocculation reaction is completed, the IoT gateway 6 controls the submersible mixer 2 to stop and the electromagnetic pump 52 to stop, and the tailwater enters the settling stage. Step 5: Sludge discharge control. When the upper limit threshold of the sludge discharge cycle is reached, the IoT gateway 6 opens the solenoid valve through the switch output module to discharge sludge. The solenoid valve automatically closes after the sludge discharge duration reaches the set value. Step 6: Data Upload and Remote Interaction. The IoT gateway 6 uploads system operation status data to the cloud platform 7 via wireless network according to a preset cycle. Users can view the data or issue control commands in real time through the application terminal.

[0026] To ensure the reliable operation of the above systems and methods, it is necessary to install, wire, and configure the parameters of the on-site equipment and facilities. The specific process is as follows.

[0027] First, install the equipment and facilities: Each zeolite filter bag (9) weighs 20-60 kg and is placed at the bottom of the flocculation sedimentation tank 1, in the water passage connecting it to the inclined tube dynamic sedimentation tank 4. The frequency converter 3 is fixed inside the electrical control box, and its U / V / W output terminals are connected to the submersible mixer 2 motor in phase sequence, with reliable grounding. The submersible mixer 2 is vertically installed on a stainless steel frame above the flocculation sedimentation tank 1, with the reducer and mixing shaft aligned and locked. The electromagnetic pump 52 is installed on top of the dosing tank 51, with its suction pipe inserted into the bottom of the tank and its output pipe connected to the dosing port of the flocculation sedimentation tank 1. The discharge solenoid valve is installed at the discharge pipe opening of the flocculation sedimentation tank 1 and the inclined tube dynamic sedimentation tank 4, with a flange connection and the valve body actuator facing upwards.

[0028] After completing the equipment installation, perform system wiring: IoT gateway 6 is powered by a 12V 1A adapter. The RS485 bus uses shielded twisted-pair cable. Connect the inverter 3 and solenoid pump 52 in parallel to the gateway's RS485 port, with 120Ω terminating resistors connected in parallel at both ends of the bus. The sewage discharge solenoid valve control line is connected to the gateway's DO channel via an intermediate relay. Tighten the 4G antenna to the gateway's antenna interface, and insert the SIM card correctly.

[0029] After wiring is complete, configure the parameters: Inverter 3 parameter settings: P00.01 set to "2" to switch to remote control mode; P00.02 set to "2" to select the RS485 communication frequency; P00.03 set to "2" to select communication control start / stop; P03.00 set to "1", i.e., Modbus RTU communication protocol; P03.01 set the slave address; P03.02 set the baud rate to 9600. Set the Modbus slave address and the same baud rate for electromagnetic pump 52 according to the instruction manual. Configure the gateway's local serial port parameters: 9600, 8, N, 1, establish a slave address and register mapping table, and write the MQTT service address and device certificate.

[0030] After parameter configuration, set the preset operating procedure: Set the sedimentation process sequence: During the rapid stirring stage of influent flocculation, submersible mixer 2 operates at a frequency of 30-50Hz, electromagnetic pump 52 operates at an acceleration rate of 60-180 times / h, lasting 10-30 seconds; during the slow stirring stage, submersible mixer 2 operates at a frequency of 15-30Hz, electromagnetic pump 52 operates at an acceleration rate of 60-180 times / h, lasting 20-60 minutes; during the static sedimentation stage, submersible mixer 2 stops, electromagnetic pump 52 stops, lasting 30-60 minutes. Intelligent sludge discharge cycle: The sludge discharge valve automatically opens for 10-40 minutes every 1-3 days and then closes.

[0031] After setting the operating procedure, configure the user interface: After logging into the cloud platform 7 via the mobile APP, you can enter the control interface of the intelligent effluent dynamic sedimentation treatment system. You can view parameters such as the frequency of submersible mixer 2, the status of electromagnetic pump 52, differential pressure, and sludge level in real time; modify the mixing speed, feed rate, and sludge discharge cycle; manually trigger the start and stop of submersible mixer 2 and electromagnetic pump 52 and sludge discharge; and receive over-limit alarm push notifications.

[0032] Finally, system testing and adjustments were performed: After powering on, tests were conducted one by one: the start / stop and frequency conversion commands of submersible mixer 2 were manually issued, and the motor rotation and speed response were observed; the start / stop and frequency conversion commands of electromagnetic pump 52 were issued, and the changes in the drug delivery frequency of electromagnetic pump 52 were observed; the periodic sludge discharge was simulated to confirm that the sludge discharge valve opened and closed normally; the PID parameters and delay values ​​were fine-tuned according to the test results until the system was stable.

[0033] The working principle of the system of this invention is as follows: System initialization: After the IoT gateway 6 is powered on, it automatically initializes the serial port parameters, loads the slave address table and register mapping, and establishes an MQTT connection with the cloud platform 7.

[0034] Process parameter loading: The gateway reads the sedimentation process parameters stored locally, including the target speed of the submersible mixer 2, flocculation reaction time, acceleration rate of the electromagnetic pump 52, sludge discharge cycle, and sludge discharge duration. If there are updated parameters in the cloud, they are sent and synchronized locally via MQTT messages.

[0035] Influent flocculation stage: Upon detecting the influent flow rate signal, the system starts the submersible mixer 2 at the set speed and simultaneously activates the electromagnetic pump 52 to add PAM solution at a preset rate. The duration of this stage is determined by the flocculation reaction time.

[0036] Settling and sedimentation stage: After the flocculation reaction is completed, the submersible mixer 2 is slowed down to standby stop, and the electromagnetic pump 52 is turned off, allowing the effluent to enter a settling and sedimentation state. During sedimentation, suspended solids settle to the bottom under the influence of gravity.

[0037] Sludge discharge control: When the sludge discharge cycle reaches the upper limit threshold, the system automatically opens the sludge discharge valve to discharge sludge. The duration of sludge discharge can be set remotely, and the valve automatically closes after the sludge discharge is completed.

[0038] Data Upload and Remote Interaction: The gateway encapsulates data such as the status and speed of submersible mixer 2, and the status and sewage discharge status of electromagnetic pump 52 into JSON format according to a preset cycle, and publishes it to the cloud platform 7 via the MQTT protocol. Users can subscribe to relevant topics through a mobile app or web interface to view data in real time or issue control commands.

[0039] The present invention will be further described below with reference to specific embodiments.

[0040] Using the above-described systematic approach, an intelligent dynamic sedimentation treatment system for wastewater was constructed. A comparative experiment was conducted on the treatment of mixed wastewater from factory-farmed grouper and high-level shrimp farming. The conventional PAM flocculation and sedimentation process was compared with the system of this invention used continuously for 60 days. The water quality testing results of the wastewater treatment are as follows: Table 1. Comparison of effluent treatment effects between this system and the current conventional PAM flocculation and sedimentation process.

[0041] Note: Data in the same column show highly significant differences. P <0.01).

[0042] During the comparative experiment, the mixed wastewater discharge range of factory-style seawater aquaculture and elevated pond shrimp farming was: daily wastewater discharge of 300-1000 m³. 3 The concentration of PAM anions was 0.5–4.0 mg / L, and the HRT was 7 h. Effluent samples were collected from the dynamic sedimentation treatment system to detect the concentrations of TSS, TP, and TN, and the removal rates of TSS, TP, and TN were calculated. The initial TSS concentration in the aquaculture farm effluent was 202.5 ± 10 mg / L, TP concentration was 1.042 ± 0.08 mg / L, and TN concentration was 8.61 ± 0.13 mg / L. Table 1 shows that the concentrations of TSS, TP, and TN after treatment using the system of this invention are significantly lower than those using conventional PAM flocculation sedimentation processes. The average removal rates reached 81.19%, 54.32%, and 50.10%, respectively, all significantly higher than those of conventional PAM flocculation sedimentation processes. P <0.01). On the other hand, the concentrations of TSS, TP, and TN after treatment using this system consistently meet the discharge standards of the "Aquaculture Wastewater Discharge Standard" DB35 / 2160—2023. This indicates that the system of this invention is highly suitable for current marine aquaculture wastewater treatment. Due to its small footprint, high and stable treatment efficiency, low energy consumption, low investment and operating costs, and intelligent operation and management, this system can be used independently or integrated into water treatment systems, depending on the application scenario of marine or freshwater aquaculture. It has enormous market application prospects and provides technical and urgently needed equipment support for the current work of achieving standard discharge of aquaculture wastewater in my country, thus having significant application value in promoting the green development of aquaculture.

[0043] In summary, this invention integrates IoT gateway 6, variable frequency drive, and intelligent dosing technologies into an intelligent effluent dynamic sedimentation treatment system, achieving full-process automation and remote control of flocculation mixing, precise dosing, and intelligent periodic sludge discharge. This system demonstrates significant advantages in suspended solids removal efficiency, operational stability, labor savings, and effluent quality. Its intelligent control and data interconnection capabilities enable the system to adapt to the complex needs of aquaculture effluent treatment, effectively improving treatment efficiency and reducing operation and maintenance costs. Furthermore, this system has broad application prospects in aquaculture, industrial water treatment, and ecological restoration. With the deep integration of IoT and AI technologies, the potential of this system in adaptive optimization and predictive maintenance will be further unleashed.

[0044] The above description is merely an embodiment of the present invention and does not constitute any limitation on the technical scope of the present invention. Therefore, any minor modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A smart aquaculture wastewater dynamic sedimentation treatment system, characterized in that, include: A flocculation sedimentation tank is used to receive aquaculture wastewater and carry out flocculation and sedimentation reactions. A submersible mixer is installed in the flocculation sedimentation tank. The submersible mixer is driven by a frequency converter to accelerate the mixing reaction of flocculant and wastewater. An inclined tube dynamic sedimentation tank is located downstream of the flocculation sedimentation tank. Inclined tube packing is installed inside the tank to further remove suspended solids from the effluent. An intelligent dosing device is connected to the flocculation sedimentation tank and is used to add flocculant solution to the flocculation sedimentation tank. The intelligent dosing device includes a dosing tank, an electromagnetic pump and a micro stirrer. The dosing tank is used to store the flocculant solution, and the micro stirrer and the electromagnetic pump are installed on its top. The electromagnetic pump is used to add the flocculant solution to the flocculation sedimentation tank. The Internet of Things (IoT) gateway, as the core of system control, has a wireless communication module and a digital output module. The IoT gateway is communicatively connected to the frequency converter and the electromagnetic pump, and controls the opening and closing of the sewage solenoid valve through the digital output module. The cloud platform communicates with the IoT gateway via a wireless network for remote monitoring, parameter setting, and alarm push notifications. Both the flocculation sedimentation tank and the inclined tube dynamic sedimentation tank are equipped with sewage outlets at their bottoms, and the sewage outlets are controlled by the sewage pipe solenoid valve.

2. The intelligent aquaculture wastewater dynamic sedimentation treatment system according to claim 1, characterized in that, Both the IoT gateway and the frequency converter are located inside the intelligent control cabinet.

3. The intelligent aquaculture wastewater dynamic sedimentation treatment system according to claim 1, characterized in that, The bottom of the flocculation sedimentation tank is connected to the inclined tube dynamic sedimentation tank, and a water passage connection interface is provided at the connection position. The water passage connection interface is equipped with a filter packing bag to intercept residual suspended solids.

4. The intelligent aquaculture wastewater dynamic sedimentation treatment system according to claim 1, characterized in that, The IoT gateway also includes an analog input module, an analog output module, and a digital input and output module. The analog input module is used to connect to a differential pressure sensor; the analog output module is connected to a frequency converter and can remotely transmit signals to adjust the start / stop and frequency of the frequency converter; the digital input and output module is used to connect to a sewage pipe solenoid valve.

5. The intelligent aquaculture wastewater dynamic sedimentation treatment system according to claim 1, characterized in that, The cloud platform is connected to the application terminal, allowing users to view the system's operating status and modify process parameters in real time.

6. A control method for an intelligent aquaculture wastewater dynamic sedimentation treatment system according to any one of claims 1 to 5, characterized in that, Includes the following steps: Step 1: System initialization. After the IoT gateway is powered on, it establishes a wireless communication connection with the cloud platform. Step 2: Load process parameters. The IoT gateway reads the sedimentation process parameters stored locally or in the cloud. The parameters include the target speed of the submersible mixer, the flocculation reaction time, the electromagnetic pump dosing rate, the sludge discharge cycle, and the sludge discharge duration. Step 3, Water Inlet Flocculation Stage: After the system is started, the IoT gateway controls the frequency converter to drive the submersible mixer to run at the set speed, and at the same time controls the electromagnetic pump to add flocculant solution at the set rate to continue the flocculation reaction time. Step 4, settling stage: After the flocculation reaction is completed, the IoT gateway controls the submersible mixer to stop and the electromagnetic pump to stop, and the tailwater enters the settling stage. Step 5: Sludge discharge control. When the upper limit threshold of the sludge discharge cycle is reached, the IoT gateway opens the sludge discharge solenoid valve through the switch output module to discharge sludge. The sludge discharge duration is automatically closed after reaching the set value. Step 6: Data Upload and Remote Interaction. The IoT gateway uploads system operation status data to the cloud platform via wireless network according to a preset cycle. Users can view the data or issue control commands in real time through the application terminal.

7. The control method for an intelligent aquaculture wastewater dynamic sedimentation treatment system according to claim 6, characterized in that, The water inlet flocculation stage includes a rapid stirring stage and a slow stirring stage, wherein the submersible mixer in the rapid stirring stage rotates at a higher speed than that in the slow stirring stage.

8. The control method for an intelligent aquaculture wastewater dynamic sedimentation treatment system according to claim 6, characterized in that, The sludge discharge cycle and duration are set remotely by the user through the application and synchronized to the IoT gateway via the cloud platform.

9. The control method for an intelligent aquaculture wastewater dynamic sedimentation treatment system according to claim 6, characterized in that, During the water inlet flocculation stage, when the water inlet flow signal is detected, the submersible mixer is started at the set speed and the electromagnetic pump is turned on at the same time.

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