Aquaculture pond aerator capable of being adaptively adjusted

Abstract

The invention relates to an aquaculture pond aerator capable of self-adaptive adjustment. The aerator comprises a water quality detection module, a central processing unit module and a control module, wherein the water quality detection module is used for collecting water environment parameters in an aquaculture pond in real time and sending the water environment parameters to the central processing unit module; the central processing unit module is used for determining the oxygenation demand of the water body and the area needing oxygenation based on the water body environment parameters, generating a control instruction and sending the control instruction to the intelligent navigation module and the self-adaptive oxygenation module; the intelligent navigation module is used for controlling the position and direction of the aerator on the basis of the control instruction in combination with inertial navigation system information and GPS position information, so that the aerator reaches an area needing oxygenation; the self-adaptive oxygenation module is used for controlling the aerator to carry out oxygenation based on the control instruction after the aerator reaches the area needing oxygenation; and the Internet of Things module is used for accessing each module to the Internet and providing remote monitoring and control. Dissolved oxygen distribution of a water body can be automatically detected, the position is adaptively moved to reach a low-dissolved-oxygen water area for oxygenation, and power output of the aerator is automatically adjusted according to the dissolved oxygen amount of the water body.

Description

Technical Field

[0001] The invention relates to the technical field of aquaculture, and in particular to an aquaculture pond oxygenator capable of adaptive regulation. Background Art

[0002] With the development of aquaculture, the requirements for water quality management are increasing. Traditional aerators often lack intelligence and adaptive capabilities, and it is difficult to adjust the oxygenation strategy according to the real-time changes in the aquaculture environment, resulting in problems such as the aerator being turned on all day, high energy consumption, and unstable oxygenation effect during aquaculture. Therefore, it is particularly important to develop an aerator that can adapt to environmental changes and intelligently manage. Summary of the invention

[0003] The purpose of the present invention is to provide an aquaculture pond aerator that can be adaptively adjusted to solve the problems of high energy consumption and unstable oxygenation effect of aerators on the market during aquaculture.

[0004] To achieve the above object, the present invention provides the following solutions:

[0005] An aquaculture pond aerator capable of adaptive adjustment, comprising:

[0006] Water quality detection module, central processing unit module, intelligent navigation module, adaptive oxygenation module, Internet of Things module;

[0007] The water quality detection module is used to collect water environment parameters in the aquaculture pond in real time and send them to the central processing unit module;

[0008] The central processing unit module is used to determine the oxygenation demand and oxygenation area of ​​the water body based on the water body environmental parameters, generate control instructions and send them to the intelligent navigation module and the adaptive oxygenation module;

[0009] The intelligent navigation module is used to control the position and direction of the aerator based on the control instruction combined with the inertial navigation system information and the GPS position information to reach the area requiring oxygenation;

[0010] The adaptive oxygenation module is used to control the aerator to increase oxygen based on the control instruction after the aerator reaches the area requiring oxygenation;

[0011] The Internet of Things module is used to connect the water quality detection module, the central processing unit module, the intelligent navigation module, and the adaptive oxygenation module to the Internet, and provide remote monitoring and control.

[0012] Optionally, the water quality detection module includes a data acquisition unit, a data processing unit, and a communication unit;

[0013] The data acquisition unit is used to collect the water environment parameters;

[0014] The data processing unit is used to analyze the water environment parameters to obtain the water quality change trend;

[0015] The communication unit is used to transmit the water body environmental parameters and water quality change trends to the central processing unit module.

[0016] Optionally, the central processing unit module includes a memory, a microprocessor, and an input and output interface;

[0017] The memory is used to store data processing algorithms and preset parameters;

[0018] The microprocessor is used to analyze and process the received data based on the data processing algorithm and preset parameters;

[0019] The input and output interface is used for information transmission between the central processing unit module and the water quality detection module, the intelligent navigation module, and the adaptive oxygenation module.

[0020] Optionally, the intelligent navigation module includes a path planning unit and a path control unit;

[0021] The path planning unit is used to obtain the current position of the aerator and the position of the area requiring aeration, and perform path planning;

[0022] The path control unit is used to control the movement of the aerator according to the planned path based on the control instruction.

[0023] Optionally, the path control unit is also used to monitor the positioning and heading information of the aerator in real time during the movement of the aerator, and to adjust the planned path in real time if an obstacle or environmental change is encountered.

[0024] Optionally, the intelligent navigation module adopts a GPS receiver and an INS sensor group, the GPS receiver is used to receive satellite signals, and obtain the three-dimensional position, speed and time information of the aerator by solving the pseudorange and pseudorange rate between the satellite signal and the receiver; the INS sensor group is used to measure the angular velocity and acceleration of the aerator, and use integral operation to obtain the speed, attitude and position information of the aerator.

[0025] Optionally, the adaptive oxygen enrichment module includes an oxygen enrichment unit and a control unit;

[0026] The oxygenation unit is used to increase the dissolved oxygen in the water body in the area requiring oxygenation;

[0027] The control unit is used to control and adjust the operation of the oxygenation unit based on control instructions and real-time oxygenation effect.

[0028] Optionally, the Internet of Things module includes a user interface for users to set parameters, view data, and perform manual operations.

[0029] Optionally, the aerator further includes: a power module, and the power module is used to supply power to the water quality detection module, the central processing unit module, the intelligent navigation module, the adaptive oxygenation module, and the Internet of Things module.

[0030] Optionally, the power module adopts a power supply method combining batteries and solar panels.

[0031] The beneficial effects of the present invention are:

[0032] The present invention adopts the technology combining GPS and INS, and can automatically adjust the aerator to the area with low dissolved oxygen content to operate according to the real-time monitored dissolved oxygen data, ensuring that the dissolved oxygen of the entire water body is evenly distributed, thereby improving the overall oxygenation efficiency, realizing the precise positioning of the aerator and autonomous navigation on the water surface, avoiding repeated operations and ineffective movement, and improving the oxygenation efficiency. In addition, the present invention automatically adjusts the power output of the aerator according to the monitored water quality parameters, realizes on-demand oxygenation and energy saving and consumption reduction, and improves energy utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 This is a schematic diagram of the structure of an aquaculture pond aerator capable of adaptive adjustment according to an embodiment of the present invention;

[0035] Figure 2 This is a working diagram of an aquaculture pond aerator capable of adaptive adjustment according to an embodiment of the present invention;

[0036] Figure 3 This is a working diagram of a water quality detection module according to an embodiment of the present invention;

[0037] Figure 4 This is a working diagram of the intelligent navigation module according to an embodiment of the present invention;

[0038] Figure 5 This is a flowchart of the adaptive oxygenation module of an embodiment of the present invention;

[0039] Figure 6 This is a working diagram of the Internet of Things module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0042] This embodiment provides an aquaculture pond aerator capable of adaptive adjustment, such as Figure 1 As shown, it includes: water quality detection module, central processing unit module, intelligent navigation module, adaptive oxygenation module, and Internet of Things module;

[0043] The water quality detection module is used to collect water environment parameters in the aquaculture pond in real time and send them to the central processing unit module;

[0044] The central processing unit module is used to determine the oxygenation demand and oxygenation area of ​​the water body based on the water body environmental parameters, generate control instructions and send them to the intelligent navigation module and the adaptive oxygenation module;

[0045] The intelligent navigation module is used to control the position and direction of the aerator based on the control instructions combined with the inertial navigation system information and GPS position information to reach the area where oxygen is required;

[0046] The adaptive oxygenation module is used to control the aerator to increase oxygen based on control instructions after the aerator reaches the area requiring oxygenation;

[0047] The Internet of Things module is used to connect the water quality detection module, the central processing unit module, the intelligent navigation module, and the adaptive oxygenation module to the Internet, and provide remote monitoring and control.

[0048] like Figure 2As shown, first, the power module is started, and the power module provides stable power support in the whole process, including using the electric energy stored in the battery and the renewable energy collected by the solar panel, and converting the direct current into alternating current through the inverter for the system to use; after the system is initialized, it performs a self-check, and after the self-check is completed, it receives the user's instructions or enters the automatic mode, wherein, if the user's instructions are received, the water environment is monitored according to the user's set parameters, and if the automatic mode is entered, the water environment is automatically monitored; the water quality detection module uses dissolved oxygen, pH value, and temperature sensors to monitor the water environment parameters in real time, and transmits the data to the central processing unit module. After receiving the data, the central processing unit module uses the preset algorithm to analyze and process to determine the current water body oxygenation demand, and then the central processing unit module sends control instructions to the intelligent navigation module and the adaptive oxygenation module. The navigation module can adjust the position and direction of the aerator according to the instructions to ensure that the aerator can reach the area with low dissolved oxygen in the water body. After reaching the area with low dissolved oxygen, the adaptive aeration module adjusts the operating status of the aerator according to the instructions of the central processor to achieve precise oxygenation, and monitors the oxygenation effect during the aeration process. If the oxygenation effect does not meet the standard until the end of this oxygenation, the aeration strategy is adjusted to perform oxygenation again until the oxygenation effect meets the standard; if the oxygenation effect meets the standard, the oxygenation data is recorded and the oxygenation is ended; after the oxygenation is completed, the system is on standby, or enters the next oxygenation cycle, and water environment monitoring is performed again; at the same time, the Internet of Things module is used in the system to enable the aerator to access the Internet for remote monitoring and control. Users can view water environment data and the working status of the aerator in real time through the application on the smart device, and perform manual intervention when necessary.

[0049] Furthermore, the water quality detection module includes a data acquisition unit, a data processing unit, and a communication unit;

[0050] The data acquisition unit is used to collect water environment parameters;

[0051] The data processing unit is used to analyze water environment parameters and obtain water quality change trends;

[0052] The communication unit is used to transmit water environment parameters and water quality change trends to the central processing unit module.

[0053] Specifically, Figure 3As shown in the figure, after the water quality detection module is initialized, the dissolved oxygen sensor, temperature sensor, pH sensor, etc. are calibrated, and then the dissolved oxygen sensor, temperature sensor, and pH sensor are used to comprehensively monitor the water quality parameters. The high-precision AD converter of each sensor converts the analog signal into a digital signal, and the data transmitted by each sensor module is received by the data acquisition unit, and preliminary processing such as filtering and amplification is performed to improve the accuracy and reliability of the data. After that, the collected data is deeply analyzed by the data processing unit to identify the trend of water quality changes, provide decision support for the intelligent control of the aerator, and transmit the collected data to the central processing unit module through the SPI bus for analysis and processing.

[0054] During the oxygenation process, if the water quality detection module receives an instruction to adjust the oxygenation strategy, it updates the oxygenation parameters and restarts data collection; if it does not receive an instruction to adjust the oxygenation strategy, it returns to the standby state after the oxygenation is completed.

[0055] Further, the CPU module includes a memory, a microprocessor, and an input and output interface;

[0056] The memory is used to store data processing algorithms and preset parameters;

[0057] The microprocessor is used to analyze and process the received data based on the data processing algorithm and preset parameters;

[0058] The input and output interface is used for information transmission between the central processing unit module and the water quality detection module, the intelligent navigation module, and the adaptive oxygenation module.

[0059] The microprocessor in the central processing unit module adopts a high-performance chip based on the ARM architecture, which is responsible for data processing, logical judgment and generation of control instructions; the software architecture adopts an embedded Linux operating system to ensure the stability and real-time performance of the system; it receives data from each module, performs comprehensive analysis, and then sends control instructions to the intelligent navigation module and the adaptive oxygen enrichment module.

[0060] Furthermore, the intelligent navigation module includes a path planning unit and a path control unit;

[0061] The path planning unit is used to obtain the current position of the aerator and the position of the area requiring aeration, and perform path planning;

[0062] The path control unit is used to control the movement of the aerator according to the planned path based on the control instructions, and during the movement of the aerator, the positioning and heading information of the aerator is monitored in real time. If obstacles or environmental changes are encountered, the planned path is adjusted in real time.

[0063] The intelligent navigation module adopts a GPS receiver and an INS sensor group. The GPS receiver is used to receive signals from multiple satellites, and obtains the three-dimensional position, speed and time information of the aerator by solving the pseudorange and pseudorange rate between the satellite signal and the receiver; the INS sensor group is used to measure the angular velocity and acceleration of the aerator, and uses integral operation to obtain the speed, attitude and position information of the aerator.

[0064] Specifically, Figure 4 As shown, the intelligent navigation module is initialized. After receiving the control command of the central processing unit module through wireless communication, each point on the map is regarded as a node in the graph through the Dijkstra algorithm according to the map data, obstacle information and oxygenation demand of the aquaculture waters. The shortest path from the current position of the aerator to the low dissolved oxygen area is calculated using the Dijkstra algorithm. After obtaining an optimal path from the current position to the target area, the aerator drives the motor to automatically navigate according to the planned path. At the same time, INS provides real-time positioning and heading information to ensure that the aerator moves along the predetermined path. During the movement, if obstacles or environmental changes are encountered, the aerator can dynamically adjust the path and recalculate the best route to the destination.

[0065] Further, the adaptive oxygenation module includes an oxygenation unit and a control unit;

[0066] The oxygenation unit is used to increase the dissolved oxygen in the water body in the area requiring oxygenation;

[0067] The control unit is used to control and adjust the operation of the oxygen enrichment unit based on control instructions and real-time oxygen enrichment effects.

[0068] Specifically, the oxygenation unit includes an oxygenation device for increasing the dissolved oxygen in the water body; the control unit includes a control device and a regulating device for controlling the speed and power of the motor of the oxygenation device, as well as adjusting the angle and direction of the oxygenation device to optimize the oxygen distribution.

[0069] Specifically, Figure 5 As shown, after the adaptive oxygenation module is started, it receives instructions from the central processor, analyzes the dissolved oxygen demand according to water quality data, calculates the amount of oxygen increase, and determines whether the amount of oxygen increase is sufficient. If not, it will be recalculated; if it is sufficient, the oxygenation equipment will be controlled by the amount of oxygen increase to perform oxygenation; at the same time, the oxygenation effect is monitored during the oxygenation process. If the oxygenation effect still does not meet the standard until the end of this oxygenation cycle, the dissolved oxygen demand will be re-analyzed, the oxygenation amount will be calculated, and the oxygenation strategy will be adjusted; if it meets the standard, the oxygenation data will be recorded and the oxygenation cycle will end.

[0070] The adaptive oxygenation module adopts a fuzzy control algorithm. It monitors water quality data such as dissolved oxygen in real time, fuzzifies the water quality data, and then infers based on preset fuzzy rules to obtain control instructions through defuzzification. It automatically adjusts the operating parameters of the aerator to achieve precise oxygenation. During the oxygenation process, the oxygenation effect is continuously monitored, and the control strategy is fine-tuned based on the feedback results to ensure that the dissolved oxygen content in the water body is always kept within the optimal range.

[0071] Furthermore, the IoT module includes a user interface for user parameter setting, data viewing, and manual operation, allowing the user to set parameters and receive system status updates.

[0072] Specifically, Figure 6 As shown, after the system is started, the IoT module is initialized and a network connection is established, remote access permissions are configured, and then remote instructions are received. If a remote instruction is received, the device status is parsed and adjusted according to the instruction, and the device status is updated to the central processor; if no remote instruction is received, the device status is monitored locally and device data is collected and stored in the cloud; when the user performs remote access, the device status displayed on the operation interface can be transmitted to the device by inputting operation instructions, and the device executes the instruction to complete; the IoT module also monitors the network status during operation. If the network is stable, the connection is maintained until the end of this task. If the network is unstable, the network connection is reestablished.

[0073] The IoT module uses Wi-Fi communication to achieve data transmission and command reception with the remote server, and remotely monitors and manages the aerator through the cloud platform, including real-time data viewing, historical data query, and control command issuance. At the same time, it supports mobile APP or web page access, allowing users to grasp the working status of the aerator anytime and anywhere.

[0074] To further optimize the technical solution, the adaptively adjustable aquaculture pond oxygenator provided in this embodiment also includes a power module for powering a water quality detection module, a central processing unit module, an intelligent navigation module, an adaptive oxygenation module, and an Internet of Things module.

[0075] The power module adopts a power supply method that combines batteries and solar panels, including batteries, solar panels, and inverters. The battery is used to store electrical energy and provide stable DC power when the solar panels cannot supply power; the solar panels are used to convert solar energy into electrical energy, providing the system with clean, renewable energy and reducing dependence on traditional power sources; the inverter is used to convert DC power into AC power for use in AC equipment.

[0076] Specifically, the power module adopts a switching power supply design to ensure that the aerator can work stably under various working conditions, and a backup power supply is configured to ensure that the aerator can still work normally in emergency situations.

[0077] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. An aquaculture pond oxygenator capable of adaptive adjustment, characterized in that: include: Water quality detection module, central processing unit module, intelligent navigation module, adaptive oxygenation module, Internet of Things module; The water quality detection module is used to collect water environment parameters in the aquaculture pond in real time and send them to the central processing unit module; The central processing unit module is used to determine the oxygenation demand and oxygenation area of ​​the water body based on the water body environmental parameters, generate control instructions and send them to the intelligent navigation module and the adaptive oxygenation module; The intelligent navigation module is used to control the position and direction of the aerator based on the control instruction combined with the inertial navigation system information and the GPS position information to reach the area requiring oxygenation; The adaptive oxygenation module is used to control the aerator to increase oxygen based on the control instruction after the aerator reaches the area requiring oxygenation; The Internet of Things module is used to connect the water quality detection module, the central processing unit module, the intelligent navigation module, and the adaptive oxygenation module to the Internet, and provide remote monitoring and control.

2. The adaptively adjustable aquaculture pond aerator according to claim 1, characterized in that: The water quality detection module includes a data acquisition unit, a data processing unit, and a communication unit; The data acquisition unit is used to collect the water environment parameters; The data processing unit is used to analyze the water environment parameters to obtain the water quality change trend; The communication unit is used to transmit the water body environmental parameters and water quality change trends to the central processing unit module.

3. The adaptively adjustable aquaculture pond oxygenator according to claim 1, characterized in that: The central processing unit module includes a memory, a microprocessor, and an input and output interface; The memory is used to store data processing algorithms and preset parameters; The microprocessor is used to analyze and process the received data based on the data processing algorithm and preset parameters; The input and output interface is used for information transmission between the central processing unit module and the water quality detection module, the intelligent navigation module, and the adaptive oxygenation module.

4. The adaptively adjustable aquaculture pond oxygenator according to claim 1, characterized in that: The intelligent navigation module includes a path planning unit and a path control unit; The path planning unit is used to obtain the current position of the aerator and the position of the area requiring aeration, and perform path planning; The path control unit is used to control the movement of the aerator according to the planned path based on the control instruction.

5. The adaptively adjustable aquaculture pond aerator according to claim 4, characterized in that: The path control unit is also used to monitor the positioning and heading information of the aerator in real time during the movement of the aerator, and to adjust the planned path in real time if obstacles or environmental changes are encountered.

6. The adaptively adjustable aquaculture pond aerator according to claim 4 or 5, characterized in that: The intelligent navigation module adopts a GPS receiver and an INS sensor group. The GPS receiver is used to receive satellite signals, and obtains the three-dimensional position, speed and time information of the aerator by solving the pseudorange and pseudorange rate between the satellite signal and the receiver; the INS sensor group is used to measure the angular velocity and acceleration of the aerator, and obtains the speed, attitude and position information of the aerator by using integral operation.

7. The adaptively adjustable aquaculture pond oxygenator according to claim 1, characterized in that: The adaptive oxygen enrichment module includes an oxygen enrichment unit and a control unit; The oxygenation unit is used to increase the dissolved oxygen in the water body in the area requiring oxygenation; The control unit is used to control and adjust the operation of the oxygenation unit based on control instructions and real-time oxygenation effect.

8. The adaptively adjustable aquaculture pond aerator according to claim 1, characterized in that: The Internet of Things module includes a user interface for users to set parameters, view data, and perform manual operations.

9. The adaptively adjustable aquaculture pond aerator according to any one of claims 1 to 8, characterized in that: The aerator also includes: a power module, which is used to supply power to the water quality detection module, the central processing unit module, the intelligent navigation module, the adaptive oxygenation module, and the Internet of Things module.

10. The self-adaptive aquaculture pond aerator according to claim 9, characterized in that: The power module adopts a power supply mode combining a battery and a solar panel.

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