Aquaculture intelligent oxygenation system and method based on Internet of Things

Abstract

The invention provides an aquaculture intelligent oxygenation system and method based on the Internet of Things, and the system comprises an oxygenation pipeline device, the oxygenation pipeline device comprises a first sensor assembly and an actuator assembly, the first sensor assembly forms a monitoring module used for collecting key parameters of gas in an oxygenation pipeline in real time, and the actuator assembly forms an actuator assembly; the monitoring module further comprises a second sensor assembly used for collecting key parameters of the water body, the first sensor assembly, the actuator assembly and the second sensor assembly are all connected with an Internet of Things controller, and the Internet of Things controller is further connected with a terminal module through a cloud platform. The beneficial effects of the invention are that the system combines the functions of Internet of Things control, edge calculation, real-time detection and intelligent adjustment, achieves the precise control of the dissolved oxygen in the aquaculture process, and guarantees the stability of the aquaculture environment; and through intelligent management, the operation efficiency of the oxygenation equipment is improved, the energy consumption is reduced, and the healthy environment of the water body is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of aquaculture, and particularly to an intelligent oxygenation system and method for aquaculture based on the Internet of Things. Background Art

[0002] In order to increase aquaculture production, oxygenation equipment is usually used to oxygenate water bodies. Aquaculture operators rely on their own experience to increase the oxygen required by cultured organisms through regular aeration or all-day high-power continuous aeration. Existing aquaculture oxygenation equipment directly aerates to increase the activity of water bodies. These oxygenation equipment include pump-type aerators, impeller aerators, and water-wheel aerators.

[0003] However, existing oxygenation equipment is large in volume, poor in oxygenation accuracy, and low in intelligence. Breeders need to regularly check the dissolved oxygen content in the water body and walk to the corresponding control box to start the aerator to meet the oxygenation requirements, which is time-consuming, laborious, and inefficient; these oxygenation equipment often require large power consumption, especially in large-scale farms, and long-term operation will lead to high energy consumption costs; during the working process, noise and water body vibration will be generated, which may cause certain stress reactions to fish or other aquatic organisms in the aquaculture water body, affecting their growth and reproduction; and the above-mentioned oxygenation equipment involves multiple mechanical moving parts, which are easily damaged by impurities, sediment, algae, etc. in the water, increasing the maintenance and replacement costs of the equipment. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide an intelligent oxygenation system and method for aquaculture based on the Internet of Things, which is used to solve the problems of low supervision efficiency, high energy consumption, high noise, and high maintenance cost of existing aquaculture oxygenation equipment.

[0005] To achieve the above purpose and other related purposes, the present invention provides the following technical solutions:

[0006] An intelligent oxygenation system for aquaculture based on the Internet of Things includes an oxygenation pipeline device installed in a protection box. The oxygenation pipeline device includes a first sensor assembly and an actuator assembly. The first sensor assembly constitutes a monitoring module for real-time collection of key parameters of the gas in the oxygenation pipeline. The monitoring module also includes a second sensor assembly for collecting key parameters of the water body. The first sensor assembly, the actuator assembly, and the second sensor assembly are all connected to an Internet of Things controller. The Internet of Things controller is used to accurately control the gas flow in the oxygenation pipeline according to the key parameters of the gas in the oxygenation pipeline and the key parameters of the water body monitored by the monitoring module in real time, ensuring that the dissolved oxygen content in the water body is within a reasonable range. The Internet of Things controller is also connected to a terminal module through a cloud platform.

[0007] In an embodiment of the present invention, the oxygenation pipeline device includes a first-layer oxygenation pipeline and a second-layer oxygenation pipeline that are connected to each other. The oxygenation pipeline device further includes a rotameter, and the first-layer oxygenation pipeline and the second-layer oxygenation pipeline are also connected through the rotameter.

[0008] In an embodiment of the present invention, the first-layer oxygenation pipeline includes a first oxygenation pipe. A first ball valve for controlling the gas flow in the oxygenation pipeline, a first solenoid valve for realizing the automatic control of the gas flow through an electric signal, a pressure gauge for displaying the gas pressure in the oxygenation pipeline, a first temperature and pressure integrated transmitter for measuring the gas temperature and pressure in the first oxygenation pipe, a pressure reducing valve for adjusting the gas pressure in the pressurization pipeline, an electric proportional regulating valve for realizing the automatic control of the gas flow through an electric signal, and a mass flow controller for measuring the gas flow in the oxygenation pipeline are successively arranged on the first oxygenation pipe. The port of the first oxygenation pipe close to the first ball valve is the air inlet, and the air inlet is connected to an external gas supply source through a hose. The port of the first oxygenation pipe close to the mass flow controller is connected to the rotameter.

[0009] In an embodiment of the present invention, the second-layer oxygenation pipeline includes a second oxygenation pipe. A second temperature and pressure integrated transmitter for measuring the gas temperature and pressure in the second oxygenation pipe, a third oxygenation pipe for the gas to flow out, and a second solenoid valve for realizing the automatic control of the gas flow through an electric signal are successively arranged on the second oxygenation pipe. The port of the second oxygenation pipe close to the second temperature and pressure integrated transmitter is connected to the rotameter. A fourth oxygenation pipe is connected to the port of the second oxygenation pipe close to the second solenoid valve. Among them, a second ball valve for controlling the gas flow in the third oxygenation pipe is arranged on the third oxygenation pipe, and the port of the third oxygenation pipe far from the second oxygenation pipe is the first air outlet.

[0010] In an embodiment of the present invention, the fourth oxygenation pipe is a tee pipe fitting. The port of the fourth oxygenation pipe close to the second solenoid valve is the second air outlet. The port of the fourth oxygenation pipe far from the second solenoid valve is connected to the first oxygenation pipe and is located between the air inlet and the first ball valve. A third ball valve for controlling the gas flow between the first oxygenation pipe and the second air outlet is arranged on the fourth oxygenation pipe.

[0011] In an embodiment of the present invention, the pressure gauge, the first temperature and pressure integrated transmitter, the mass flow controller, the rotameter, and the second temperature and pressure integrated transmitter constitute the first sensor assembly. The first solenoid valve, the pressure reducing valve, the electric proportional regulating valve, and the second solenoid valve constitute the actuator assembly. The second sensor assembly includes a dissolved oxygen sensor, a pH value sensor, and a temperature sensor disposed in the water body, and the dissolved oxygen sensor, the pH value sensor, and the temperature sensor are all connected to the Internet of Things controller.

[0012] In an embodiment of the present invention, the Internet of Things controller has an edge computing function, and a PID control algorithm is provided in the Internet of Things controller. The PID control algorithm calculates the dissolved oxygen content in the water body collected by the monitoring module, and automatically adjusts the opening degree of the electric proportional regulating valve (12) when the dissolved oxygen level in the water body changes, so as to ensure that the oxygen in the water body is kept within a suitable range.

[0013] In an embodiment of the present invention, the cloud platform is used to store a large amount of historical operation data, and comprehensively analyzes and optimizes the operation mode of the intelligent oxygen increasing system for aquaculture through big data analysis technology. The cloud platform also supports remote management, and users can perform real-time monitoring and configuration adjustment on the intelligent oxygen increasing system for aquaculture through the terminal module.

[0014] In an embodiment of the present invention, the terminal module includes a field industrial control screen terminal and a mobile phone terminal. The field industrial control screen terminal adopts a graphical display method to display various monitoring parameters in real time, and is used for on-site personnel to monitor and control the intelligent oxygen increasing system for aquaculture. The mobile phone terminal is also used to monitor and control the intelligent oxygen increasing system for aquaculture.

[0015] An intelligent oxygen increasing method for aquaculture based on the Internet of Things, based on the intelligent oxygen increasing system for aquaculture based on the Internet of Things, includes the following steps: the first sensor assembly and the second sensor assembly in the monitoring module collect the key parameters of the gas in the oxygen increasing pipeline and the key parameters of the water body, and send the collected data to the Internet of Things controller; the Internet of Things controller receives the data sent by the monitoring module, and precisely controls the gas flow in the oxygen increasing pipeline according to the key parameters of the gas in the oxygen increasing pipeline and the key parameters of the water body monitored by the monitoring module in real time, so as to ensure that the dissolved oxygen content in the water body is within a reasonable range; the Internet of Things controller sends the data collected by the monitoring module and the processing results to the terminal module through the cloud platform, and the terminal module adopts a graphical display method to display various monitoring parameters in real time.

[0016] As described above, an intelligent oxygenation system and method for aquaculture based on the Internet of Things according to the present invention has the following beneficial effects: 1. Precise control and efficient oxygenation: By integrating Internet of Things technology and high-precision sensors, the present invention can monitor key parameters in the oxygen supply system in real time, and achieve precise adjustment of oxygen supply through edge computing and PID control algorithms; moreover, the present invention can automatically adjust the oxygen supply according to the actual dissolved oxygen demand in the water body, avoiding the problems of excessive or insufficient oxygen supply existing in traditional mechanical oxygenation equipment, thereby ensuring that the dissolved oxygen in the water body is within an appropriate range and improving the aquaculture effect.

[0017] 2. High degree of automation and reduced manual intervention: The Internet of Things controller in the present invention has remote monitoring and automatic adjustment functions. Operators can view the system operation status in real time at the remote terminal and make remote adjustments as needed, without the need to frequently go to the site for manual operations. This greatly improves the automation level of the system, reduces the dependence on manual intervention, and reduces the work burden of operators. Especially in large-scale farms or complex environments, the management efficiency is significantly improved.

[0018] 3. Energy-saving and efficient: Compared with traditional mechanical oxygenation equipment, the intelligent control system of the present invention can dynamically adjust oxygen supply according to real-time environmental and water body demands, avoiding unnecessary energy consumption waste; the present invention only starts the corresponding equipment when oxygenation is needed, thus significantly reducing the energy consumption of equipment operation and optimizing energy utilization efficiency. In addition, the precise control of the present invention reduces the frequent start and stop of equipment, extends the service life of equipment, and reduces the daily operation and maintenance costs.

[0019] 4. Fast system response and high security: Due to the edge computing function of the Internet of Things controller, the present invention can perform real-time processing and analysis of sensor data locally without relying on external cloud services, thus greatly reducing the delay of data processing and response; this design ensures that when the water body environment changes rapidly, the system can quickly adjust oxygen supply to prevent problems of insufficient or excessive oxygen supply caused by system lag. In addition, the local decision-making ability also improves the security of the system. Especially in the case of unstable network or unavailable cloud, the system can still operate independently and reliably.

[0020] 5. Low maintenance cost and easy to expand: The modular design of the present invention not only facilitates system maintenance and fault troubleshooting, but also makes the function expansion of the system more flexible. Users can easily add or replace sensors and actuators according to specific aquaculture needs to adapt to farms of different scales and water quality conditions. Compared with the fixed design of traditional equipment, the expandability and compatibility of the present invention are greatly improved to meet the changing needs of future aquaculture scenarios.

[0021] 6. Data Analysis and Optimization Decision: The present invention can automatically record and analyze historical data, and combine with the current water environment to dynamically optimize the oxygenation strategy. This self-learning and self-adaptive ability enables the system to continuously improve the oxygenation efficiency, and make corresponding adjustments according to the oxygen demand of different seasons and different aquatic species, realizing intelligent and refined management, and further enhancing the production efficiency and water quality health of aquaculture. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is the overall structural block diagram of the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention;

[0023] Figure 2 It is the left front orthographic three-dimensional schematic diagram of the oxygenation pipeline device in the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention;

[0024] Figure 3 It is the right front orthographic three-dimensional schematic diagram of the oxygenation pipeline device in the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention;

[0025] Figure 4 It is the left top view schematic diagram of the first-layer oxygenation pipeline and the second-layer oxygenation pipeline in the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention;

[0026] Figure 5 It is the front top view schematic diagram of the first-layer oxygenation pipeline and the second-layer oxygenation pipeline in the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention;

[0027] Figure 6 It is the structural block diagram of the sensor component in the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention;

[0028] Figure 7 It is the structural block diagram of the actuator component in the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention;

[0029] Figure 8 It is the overall flow schematic diagram of the PID control algorithm in the intelligent aquaculture oxygenation system based on the Internet of Things disclosed in the embodiment of the present invention.

[0030] DESCRIPTION OF REFERENCE NUMERALS

[0031] 1. Protection box; 2. Rotameter; 3. Air inlet; 4. First air outlet; 5. Second air outlet; 6. First aeration pipe; 7. First ball valve; 8. First solenoid valve; 9. Pressure gauge; 10. First temperature and pressure integrated transmitter; 11. Pressure reducing valve; 12. Electric proportional regulating valve; 13. Mass flow controller; 14. Second aeration pipe; 15. Second temperature and pressure integrated transmitter; 16. Third aeration pipe; 17. Second solenoid valve; 18. Second ball valve; 19. Fourth aeration pipe; 20. Third ball valve. Detailed implementation mode

[0032] The following specific embodiments illustrate the implementation modes of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0033] Please refer to Figures 1 to 8 , the present invention provides an intelligent aeration system and method for aquaculture based on the Internet of Things, including an aeration pipeline device, a monitoring module, an Internet of Things controller, a cloud platform and a terminal module. The aeration pipeline device includes a first sensor component and an actuator component. The first sensor component constitutes a monitoring module for real-time collection of key parameters of the gas in the aeration pipeline. The monitoring module also includes a second sensor component for collecting key parameters of the water body. The first sensor component, the actuator component and the second sensor component are all connected to the Internet of Things controller, and the Internet of Things controller is also connected to the terminal module through the cloud platform. For details, please refer to Figure 1 .

[0034] Oxygen-increasing pipeline device: The design of the oxygen-increasing pipeline takes into account the fluidity of the oxygen-increasing gas and the oxygen-increasing efficiency. The pipeline is equipped with sensors and actuators distributed at multiple points inside to ensure real-time monitoring of the gas flow inside the pipeline. The pipeline material is made of corrosion-resistant and high-strength stainless steel material, which is suitable for the special environment of aquaculture and can work stably for a long time. It should be noted that the oxygen-increasing pipeline device is divided into two layers, including the first-layer oxygen-increasing pipeline (i.e., the lower-layer pipeline) and the second-layer oxygen-increasing pipeline (i.e., the upper-layer pipeline) that are connected to each other. The oxygen-increasing pipeline device also includes a rotameter 2, and the first-layer oxygen-increasing pipeline and the second-layer oxygen-increasing pipeline are also connected through the rotameter 2. Among them, the first-layer oxygen-increasing pipeline includes a first oxygen-increasing pipe 6. A first ball valve 7, a first solenoid valve 8, a pressure gauge 9, a first temperature and pressure integrated transmitter 10, a pressure reducing valve 11, an electric proportional regulating valve 12, and a mass flow controller 13 are successively arranged on the first oxygen-increasing pipe 6. It should be further noted that the first ball valve 7 is used to control the gas flow of the entire oxygen-increasing pipeline. Users can manually operate the first ball valve 7 to open or close the oxygen supply. The first solenoid valve 8 realizes the automatic control of the gas flow through an electric signal. Its function is to quickly open or close the gas flow in the oxygen-increasing pipeline when the intelligent aquaculture oxygen-increasing system is in working condition. The pressure gauge 9 is convenient for the aquaculture personnel to view the gas pressure in the pipeline in real time. The first temperature and pressure integrated transmitter 10 integrates the measurement functions of temperature and pressure and transmits these data to the Internet of Things controller in real time. The pressure reducing valve 11 is used to adjust the gas pressure in the pressurizing pipeline to ensure that the downstream equipment can work within the set safe pressure range and prevent equipment damage caused by excessive pressure. The electric proportional regulating valve 12 precisely adjusts the valve opening by receiving the electric signal from the Internet of Things controller. The mass flow controller 13 is responsible for measuring the gas flow through the pipeline in real time and feeding back this data to the Internet of Things controller. There is also an air inlet 3 at the port of the first oxygen-increasing pipe 6 close to the first ball valve 7. A straight-through ferrule is provided at the air inlet port, and the straight-through ferrule is connected to an external gas supply source through a hose. The port of the first oxygen-increasing pipe 6 close to the mass flow controller 13 is connected to the rotameter 2.

[0035] The second layer of the aeration pipeline includes a second aeration pipe 14, on which a second temperature and pressure integrated transmitter 15, a third aeration pipe 16, and a second solenoid valve 17 are successively arranged. One end of the second aeration pipe 14 close to the second temperature and pressure integrated transmitter 15 is connected to a rotameter 2, and one end of the second aeration pipe 14 close to the second solenoid valve 17 is connected to a fourth aeration pipe 19. Among them, a second ball valve 18 is arranged on the third aeration pipe 16, and the end of the third aeration pipe 16 far from the second aeration pipe 14 is a first air outlet 4. In practical applications, the second ball valve 18 is connected to a right-angle elbow, the right-angle elbow is connected to a straight-through ferrule, and the straight-through ferrule is connected to a hose to be used as the first air outlet port; the fourth aeration pipe 19 is a tee pipe fitting, and the end of the fourth aeration pipe 19 close to the second solenoid valve 17 is a second air outlet 5. In practical applications, the tee pipe fitting 20 is connected to a straight-through ferrule, and the straight-through ferrule is connected to a hose to be used as the second air outlet port. The end of the fourth aeration pipe 19 far from the second solenoid valve 17 is connected to the first aeration pipe 6 and is located between the air inlet 3 and the first ball valve 7. A third ball valve 20 for controlling the gas flow between the first aeration pipe 6 and the second air outlet 5 is arranged on the fourth aeration pipe 19; it should be noted that there are two air outlet ports. When the second solenoid valve 17 fails, the second ball valve 18 should be opened to ensure the normal operation of the air outlet port of the aeration pipeline. Also, when a fault occurs in the lower-layer pipeline, the first ball valve 7 can be closed and the third ball valve 20 can be opened to switch the pipeline to ensure the continuous normal operation of the system. For details, please refer to Figures 2 to 5 。

[0036] Monitoring Module: The monitoring module is responsible for real-time monitoring of key parameters in the aeration pipeline, such as gas flow rate, gas pressure, temperature, etc. It obtains these data through sensors and feeds them back to the IoT controller in real time. The monitoring module is equipped with multiple high-precision sensors, such as temperature sensors, pressure sensors, and mass flow meters, and adjusts the opening degree of the electric proportional control valve 12 in combination with the adjustment instructions made by the IoT controller to precisely control the dissolved oxygen level in the water body and can dynamically adjust the aeration equipment according to the change of dissolved oxygen in the water body. The monitoring module is responsible for real-time collecting key parameters in the aeration pipeline and transmitting the data to the IoT controller to ensure the automation and precise control of the system. The design of the monitoring module includes aspects such as sensor selection, signal processing, data transmission, and interface design. The monitoring module of the present invention mainly includes a pressure gauge 9, a first temperature and pressure integrated transmitter 10, a mass flow controller 13, a rotameter 2, a second temperature and pressure integrated transmitter 15, a dissolved oxygen sensor, a pH value sensor, and a temperature sensor. The measurement data of all sensors are transmitted to the IoT controller through standard communication interfaces, such as 4-20 mA or RS485, etc. The IoT controller processes and filters the collected data in real time to eliminate data noise caused by environmental factors or sensor errors to ensure the accuracy of control decisions. In addition, the IoT controller combines an efficient PID control algorithm and uses the processed data as the input of the electric proportional control valve 12 to ensure that the dissolved oxygen level in the water body is always maintained within the set target range. For details, please refer to Figure 6 ;

[0037] In terms of data transmission, the monitoring module is designed with two communication methods, wired and wireless, to adapt to different application scenarios. Wired communication uses the RS485 bus, based on the ModbusRTU protocol, with long-distance transmission and anti-interference capabilities. Wireless communication uses ZigBee low-power transmission technology to meet the data transmission requirements in remote monitoring scenarios. This dual communication design improves the flexibility of the system, enabling users to obtain real-time data through multiple methods for remote monitoring and management.

[0038] Internet of Things Controller: The Internet of Things controller is the core part of the system. It has edge computing capabilities, processes data in the aeration pipeline in real time, and makes intelligent decisions. The Internet of Things controller can collect and analyze data from sensors and actuators, perform local calculations, and control the aeration equipment without relying on the cloud. It should be noted that the first solenoid valve 8, pressure reducing valve 11, electro-hydraulic proportional regulating valve 12, and second solenoid valve 17 constitute the actuator assembly. The above-mentioned Internet of Things controller accurately controls the gas flow in the aeration pipeline according to the key parameters of the gas in the oxygen delivery pipeline (such as gas flow, temperature, pressure, etc.) to ensure that the dissolved oxygen content in the water body is within a reasonable range. The above-mentioned Internet of Things controller can quickly respond to environmental changes, ensure the accuracy of oxygen supply, and optimize the aeration strategy through intelligent algorithms to improve system efficiency. Among them, PID control algorithm: The present invention applies the PID (Proportional-Integral-Derivative) control algorithm to dynamically adjust the opening of the electro-hydraulic proportional regulating valve 12 in the aeration pipeline to achieve precise control of oxygen supply. The control process is as Figure 8 shown. The PID control algorithm calculates the dissolved oxygen content in the water body collected, and automatically adjusts the opening of the above-mentioned electro-hydraulic proportional regulating valve 12 when the dissolved oxygen level in the water body changes, ensuring that the oxygen in the water body remains within a suitable range. The PID control can quickly respond to external disturbances, adjust the system output in real time, and avoid the occurrence of insufficient or excessive oxygen supply.

[0039] Cloud platform: The present invention adopts a localization control strategy. The Internet of Things controller has edge computing capabilities and can achieve automated control without relying on the cloud. At the same time, the intelligent aeration system for aquaculture is integrated with the cloud platform to achieve a collaborative mechanism for data storage, remote monitoring, and system optimization. The cloud platform is used to store a large amount of historical operation data and comprehensively analyze and optimize the operation mode of the system through big data analysis technology. Based on these analyses, the system can further improve the accuracy of the aeration strategy and optimize the operation efficiency. At the same time, the cloud platform supports remote management, and users can perform real-time monitoring and configuration adjustment of the aeration system through on-site industrial control displays or mobile devices. The collaborative optimization in the cloud not only improves the operation efficiency of the system but also provides convenience for the remote management and expansion of the system. To achieve efficient collaboration with the cloud based on localization control, the present invention uses an Internet of Things controller as the core control unit and integrates cloud data storage and optimization analysis functions. The Internet of Things controller has edge computing capabilities and can complete data collection, real-time analysis, and control decision-making locally without relying on the network environment. Through preset control strategies, the controller automatically sends control signals when detecting device abnormalities or parameters exceeding thresholds to adjust the working states of relevant devices. The above controller has a local storage function and can save short-term historical data locally for data backup and system recovery when the network is unstable. The system stores long-term operation data, including environmental parameters, device status, control records, etc., through the cloud platform. The cloud platform uses data analysis technology to deeply analyze the operation mode during aquaculture to provide data support for optimizing the aeration strategy. Based on the results of cloud analysis, the system can dynamically adjust control strategies, such as optimizing the aeration strategy according to seasonal changes, environmental conditions, and fish group needs. The cloud optimization strategy is regularly pushed to the local controller to achieve an intelligent improvement of localization control. Encrypted communication protocols are used during the process of uploading data to the cloud and downloading it to the controller to ensure the security of data transmission.

[0040] Terminal Module: The terminal module is used to manage and monitor the aeration system in real time, and it includes two terminals: the on-site industrial control panel and the mobile phone APP. The on-site industrial control panel is equipped with an intuitive graphical interface and is installed at the aquaculture site, facilitating on-site personnel to directly monitor and control the system. Through the industrial control panel, users can view the operating status of the equipment in real time, perform operations such as starting, stopping, adjusting the solenoid valve switch, and regulating the dissolved oxygen in the water body to ensure the efficient operation of the aeration system. Moreover, the on-site industrial control panel uses an industrial-grade touch display screen, which has durability and waterproof performance and is suitable for use in harsh environments such as aquaculture. The interface of the industrial control panel is designed intuitively and uses a graphical display method to display various monitoring parameters in real time, including dissolved oxygen in the water body, temperature, pressure, flow rate, etc. Users can interact through the touch screen. The on-site industrial control panel allows users to directly operate the system, including starting, stopping, adjusting the switch of the solenoid valve, setting the dissolved oxygen target value, and immediately displaying the feedback information of the executed operation, prompting operations such as successful operation or fault alarm; The mobile phone APP provides the convenience of control anytime and anywhere, realizing remote management and monitoring. The mobile phone APP supports remote access and is connected to the Internet of Things controller through a wireless network. Users can monitor and manage the system anytime and anywhere. The APP has an abnormal status push function. When the equipment fails or the operating parameters exceed the set range, the system will notify the user through a push.

[0041] Specifically, the technical solution of the present invention overcomes the deficiencies of existing mechanical aeration equipment (such as water pump aerators, impeller aerators, and waterwheel aerators) in terms of inaccurate oxygen supply, high energy consumption, and high maintenance costs by integrating Internet of Things technology and edge computing capabilities, and achieves the technical effects of high efficiency and energy saving through intelligent control and precise adjustment;

[0042] First of all, traditional mechanical aeration equipment usually adopts a fixed operation mode and cannot be flexibly adjusted according to the change of oxygen demand in the water body, often resulting in excessive or insufficient oxygen supply; for example, although the water pump aerator can quickly transport the water body, it lacks a real-time feedback adjustment function and is difficult to accurately control the oxygen supply, resulting in energy waste; although the impeller aerator and the waterwheel aerator can improve the distribution of dissolved oxygen in the water body, they also lack the monitoring and feedback of the actual dissolved oxygen level in the water body, which is likely to lead to excessive or insufficient oxygen supply, thus affecting the efficiency and water quality of aquaculture; in view of these deficiencies, the technical solution of the present invention adopts a high-precision sensor monitoring module to collect key parameters such as gas flow, pressure, and temperature in the water body oxygen supply system in real time, and uses the edge computing function of the Internet of Things controller and combines the PID control algorithm. Analyze and process these real-time data, and by automatically adjusting the actuators in the system, such as the electric proportional control valve 12 and the pressure reducing valve 11, the system can accurately adjust the flow and pressure of oxygen according to the actual needs of the water body to ensure that the dissolved oxygen level is maintained within an appropriate range, thus effectively avoiding the problems of inaccurate oxygen supply and excessive oxygen supply of traditional mechanical aeration equipment;

[0043] In addition, the energy efficiency of traditional mechanical aeration equipment is not high. Usually, it needs to operate at a continuous high power consumption to maintain the aeration effect, increasing the operating cost. However, through the intelligent control system of the present invention, dynamic adjustment can be achieved according to the changes in the water environment, and oxygen supply is only increased when needed, reducing unnecessary energy consumption. This not only improves the energy utilization efficiency of the system, but also extends the service life of the equipment and reduces the costs of daily maintenance and replacement.

[0044] On the other hand, traditional aeration equipment often requires a large amount of manual intervention at the aquaculture site to adjust equipment parameters, such as manually adjusting valves and frequently checking the equipment operation conditions. Especially in complex environmental conditions, the operation is difficult and the response is not timely. The Internet of Things controller of the present invention has remote monitoring and automatic adjustment functions, and can realize remote management of the system through wireless communication. The system can automatically adjust the operation parameters of the aeration equipment according to the real-time data fed back by the sensors, without manual intervention, greatly improving the automation level in the aquaculture process.

[0045] In summary, through the organic combination of technologies such as high-precision monitoring, edge computing, and intelligent control, the present invention realizes the precise control of dissolved oxygen in the aquaculture process, thereby ensuring the stability of the aquaculture environment. Through intelligent management, the present invention improves the operation efficiency of the aeration equipment, reduces energy consumption, ensures the healthy environment of the water body, overcomes the deficiencies of traditional mechanical aeration equipment in terms of control accuracy, energy efficiency management, maintenance difficulty, etc., provides a more efficient, energy-saving, and automated aquaculture aeration system, and effectively improves the stability of the water environment and the production efficiency of aquaculture.

[0046] The above embodiments are only illustrative of the principles and effects of the present invention, and are not used to limit the present invention. All equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. An intelligent oxygenation system for aquaculture based on the Internet of Things, characterized by: The invention comprises an oxygenation pipeline device installed in a protection box (1), wherein the oxygenation pipeline device comprises a first sensor component and an actuator component, wherein the first sensor component constitutes a monitoring module for real-time acquisition of key parameters of gas in the oxygenation pipeline, wherein the monitoring module further comprises a second sensor component for acquiring key parameters of a water body, wherein the first sensor component, the actuator component and the second sensor component are all connected to an Internet of Things controller, wherein the Internet of Things controller is used to accurately control the flow of gas in the oxygenation pipeline according to the key parameters of gas in the oxygenation pipeline and the key parameters of the water body monitored in real time by the monitoring module, thereby ensuring that the dissolved oxygen content of the water body is within a reasonable range, and wherein the Internet of Things controller is also connected to a terminal module via a cloud platform.

2. The aquaculture intelligent oxygenation system based on the Internet of Things according to claim 1 is characterized by: The oxygenation pipeline device comprises a first layer of oxygenation pipelines and a second layer of oxygenation pipelines which are connected to each other. The oxygenation pipeline device also comprises a float flowmeter (2). The first layer of oxygenation pipelines and the second layer of oxygenation pipelines are also connected via the float flowmeter (2).

3. The intelligent oxygenation system for aquaculture based on the Internet of Things according to claim 2 is characterized in that: The first layer of oxygenation pipeline comprises a first oxygenation pipeline (6), on which a first ball valve (7) for controlling the flow of gas in the oxygenation pipeline, a first solenoid valve (8) for realizing automatic control of the flow of gas through electrical signals, a pressure gauge (9) for displaying the gas pressure in the oxygenation pipeline, a first temperature-pressure integrated transmitter (10) for measuring the temperature and pressure of the gas in the first oxygenation pipeline (6), a pressure reducing valve (11) for adjusting the gas pressure in the pressure-increasing pipeline, an electric proportional control valve (12) for realizing automatic control of the flow of gas through electrical signals, and a mass flow controller (13) for measuring the gas flow in the oxygenation pipeline are sequentially arranged. The port of the first oxygenation pipeline (6) close to the first ball valve (7) is an air inlet (3), and the air inlet (3) is connected to an external air supply source through a hose. The port of the first oxygenation pipeline (6) close to the mass flow controller (13) is connected to the float flowmeter (2).

4. The intelligent oxygenation system for aquaculture based on the Internet of Things according to claim 3 is characterized by: The second layer of oxygenation pipeline comprises a second oxygenation pipe (14), on which a second integrated temperature and pressure transmitter (15) for measuring the temperature and pressure of gas in the second oxygenation pipe (14), a third oxygenation pipe (16) for gas outflow, and a second solenoid valve (17) for realizing automatic control of gas flow through electrical signals are sequentially arranged, the port of the second oxygenation pipe (14) close to the second integrated temperature and pressure transmitter (15) is connected to the float flowmeter (2), the port of the second oxygenation pipe (14) close to the second solenoid valve (17) is connected to the fourth oxygenation pipe (19), wherein the third oxygenation pipe (16) is provided with a second ball valve (18) for controlling the gas flow in the third oxygenation pipe (16), and the port of the third oxygenation pipe (16) far from the second oxygenation pipe (14) is the first gas outlet (4).

5. The intelligent oxygenation system for aquaculture based on the Internet of Things according to claim 4 is characterized in that: The fourth oxygenation pipe (19) is a three-way pipe fitting, the port of the fourth oxygenation pipe (19) close to the second solenoid valve (17) is the second gas outlet (5), the port of the fourth oxygenation pipe (19) away from the second solenoid valve (17) is connected to the first oxygenation pipe (6) and is located between the gas inlet (3) and the first ball valve (7), and the fourth oxygenation pipe (19) is provided with a third ball valve (20) for controlling the gas flow between the first oxygenation pipe (6) and the second gas outlet (5).

6. The intelligent oxygenation system for aquaculture based on the Internet of Things according to claim 5 is characterized by: The pressure gauge (9), the first integrated temperature and pressure transmitter (10), the mass flow controller (13), the float flowmeter (2) and the second integrated temperature and pressure transmitter (15) constitute the first sensor assembly; the first solenoid valve (8), the pressure reducing valve (11), the electric proportional control valve (12) and the second solenoid valve (17) constitute the actuator assembly; the second sensor assembly comprises a dissolved oxygen sensor, a pH value sensor and a temperature sensor arranged in the water body; the dissolved oxygen sensor, the pH value sensor and the temperature sensor are all connected to the Internet of Things controller.

7. The intelligent oxygenation system for aquaculture based on the Internet of Things according to claim 3 is characterized by: The Internet of Things controller has an edge computing function, and a PID control algorithm is provided in the Internet of Things controller. The PID control algorithm calculates the dissolved oxygen content of the water body collected by the monitoring module, and automatically adjusts the opening of the electric proportional control valve (12) when the dissolved oxygen level of the water body changes, thereby ensuring that the oxygen in the water body remains within an appropriate range.

8. The intelligent oxygenation system for aquaculture based on the Internet of Things according to claim 1 is characterized by: The cloud platform is used to store a large amount of historical operation data, and comprehensively analyze and optimize the operation mode of the aquaculture intelligent oxygenation system through big data analysis technology. The cloud platform also supports remote management, and users can monitor and adjust the configuration of the aquaculture intelligent oxygenation system in real time through the terminal module.

9. The intelligent oxygenation system for aquaculture based on the Internet of Things according to claim 8, characterized in that: The terminal module includes an on-site industrial control screen terminal and a mobile phone terminal. The on-site industrial control screen terminal uses a graphical display method to display various monitoring parameters in real time and is used for on-site personnel to monitor and control the aquaculture intelligent oxygenation system. The mobile phone terminal is also used to monitor and control the aquaculture intelligent oxygenation system.

10. An intelligent oxygenation method for aquaculture based on the Internet of Things, characterized in that: The intelligent oxygenation system for aquaculture based on the Internet of Things according to any one of claims 1 to 9 comprises the following steps: The first sensor assembly and the second sensor assembly in the monitoring module collect key parameters of the gas and the key parameters of the water in the oxygenation pipeline, and send the collected data to the Internet of Things controller; The Internet of Things controller receives the data sent by the monitoring module, and accurately controls the gas flow in the oxygenation pipeline according to the key parameters of the gas in the oxygenation pipeline and the key parameters of the water body monitored in real time by the monitoring module, so as to ensure that the dissolved oxygen content of the water body is within a reasonable range; The IoT controller sends the data collected by the monitoring module and the processing results to the terminal module through the cloud platform. The terminal module uses a graphical display method to display various monitoring parameters in real time.

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