Bamboo-based seaborne floating type unmanned marine ranching system

Abstract

The invention, which relates to the technical field of ocean engineering, discloses a bamboo-based offshore floating type unmanned marine ranch system comprising a facility module, a data integration and processing module, and an interaction module. Wherein the facility module comprises a self-repairing bamboo-based floating platform, an intelligent sensor network, a camera monitoring system, an automatic bait casting machine, an intelligent water quality purification device and automatic grading, sorting and fishing equipment; the data integration and processing module comprises a cloud platform, an artificial intelligence algorithm and a big data analysis platform; the interaction module comprises a VR breeding experience system, a remote monitoring and management system and an early warning system. According to the method, the bamboo is used as a basic material of the floating platform, compared with traditional plastic or metal materials, the bamboo has higher renewability and lower carbon emission, the self-repairing coating technology is adopted, tiny cracks on the surface of the bamboo can be automatically repaired, the service life of the floating platform is prolonged, and the maintenance cost is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of marine engineering, and in particular to a bamboo-based offshore floating unmanned marine ranch system. Background Art

[0002] Marine ranching is a method of using marine resources to cultivate aquatic organisms such as fish, shellfish, and algae. Its purpose is to achieve sustainable utilization of marine resources. Marine ranching can be divided into two types: artificial breeding and natural breeding.

[0003] Artificial breeding: In an artificially controlled marine environment, the growth and reproduction of aquatic organisms is promoted by feeding, adjusting water quality, temperature, dissolved oxygen and other environmental parameters. Artificial breeding usually requires the construction of breeding facilities, such as floating platforms, cages, breeding ponds, etc.

[0004] Natural breeding: Utilizing the natural environment of the ocean, fish fry or shellfish fry are artificially released to allow them to grow under natural conditions. Natural breeding does not require the construction of breeding facilities and has less impact on the environment, but is more affected by natural conditions, such as typhoons and red tides.

[0005] The plastic or metal floating platform materials currently used have problems such as short lifespan, difficulty in degradation or environmental pollution, and require frequent maintenance and replacement. In addition, traditional farming lacks data-based decision support. Therefore, we propose a bamboo-based offshore floating unmanned marine ranch system to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide a bamboo-based offshore floating unmanned marine ranch system to solve the problems in the current market raised by the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A bamboo-based floating unmanned marine ranch system, comprising a facility module, a data integration and processing module, and an interaction module;

[0009] Among them, the facility modules include a self-repairing bamboo-based floating platform, an intelligent sensor network, a camera monitoring system, an automatic bait-casting machine, an intelligent water purification device, and automatic grading and sorting fishing equipment;

[0010] The data integration and processing module includes cloud platform, artificial intelligence algorithm, and big data analysis platform;

[0011] The interactive modules include VR farming experience system, remote monitoring and management system, and early warning system.

[0012] As a further optimization scheme of the present invention, the surface of the self-repairing bamboo-based floating platform is coated with a self-repairing coating, and a solar panel for collecting solar energy and converting it into electrical energy is installed on the top of the self-repairing bamboo-based floating platform for use in the entire aquaculture system; a small wind turbine is installed on the self-repairing bamboo-based floating platform to generate electricity using sea breeze, and together with the solar panel, it provides power for the system. An intelligent energy management system is provided inside the self-repairing bamboo-based floating platform, which allocates the power supply of solar and wind power generation according to the energy consumption requirements of the aquaculture system;

[0013] Solar panels and wind turbines continue to generate electricity during the day and in windy conditions, which is stored in batteries for daily operation of the farming system. When damage occurs on the surface of the bamboo, the microcapsules in the self-healing coating rupture and release repair agents for repair.

[0014] As a further optimization scheme of the present invention, the specific steps for the structure of bamboo and the self-repairing coating are as follows:

[0015] Step 1: Cut the bamboo into long strips and form a grid structure by weaving and bundling;

[0016] Step 2: Set up multiple sealed air bags inside the bamboo grid structure to ensure the stable floating of the floating platform;

[0017] Step 3: Use nodes for reinforcement at the intersection of the grid;

[0018] Step 4: Apply the self-repairing coating evenly on the surface of the bamboo. The microcapsules in the coating will burst when the bamboo is damaged, releasing the repair agent, which reacts with the catalyst in the bamboo to form new polymer chains, thereby repairing the cracks.

[0019] As a further optimization scheme of the present invention, the intelligent sensor network includes a temperature sensor, a dissolved oxygen monitor, a water quality detector, and a biosensor;

[0020] Among them, temperature sensors are used to monitor the temperature of aquaculture water with a range of ±0.1°C. They are distributed at different depths in the aquaculture area and transmit data to the cloud platform in real time.

[0021] Dissolved oxygen monitors are used to measure the dissolved oxygen content in the water. They are distributed at different points in the aquaculture area. The monitored data is transmitted in real time and used to adjust the aeration equipment and change the feeding strategy.

[0022] Water quality detectors are used to monitor pH, ammonia nitrogen, nitrite, nitrate, and phosphate indicators. They are installed at the water inlet and outlet of aquaculture water bodies. The monitored data are transmitted in real time for water quality management and early warning systems.

[0023] The biosensor is an external non-invasive biosensor used to monitor the physiological state of fish. It has the characteristics of high sensitivity and miniaturization, and sends data to the cloud platform via wireless transmission.

[0024] As a further optimization scheme of the present invention, the camera monitoring system includes a high-resolution high-definition camera with a protection level of IP66 and is equipped with a low-light sensor. The high-definition camera is installed on the floating platform through corrosion-resistant fixings to cover the entire breeding area. The camera continuously collects images of the breeding area and transmits them to the cloud platform in real time via a wireless network. The collected image pixels have a resolution of 1080p.

[0025] As a further optimization scheme of the present invention, the automatic feeding machine is driven by a servo motor, has a feed storage space inside, and has a plurality of adjustable feeding ports outside. The automatic feeding machine is provided with a control system inside. The control system integrates an AI algorithm inside for analyzing the growth data, feeding behavior, and water quality of fish. It also includes a microprocessor or a single-chip computer for receiving the AI ​​analysis results and controlling the operation of the feeding machine.

[0026] As a further optimization scheme of the present invention, the intelligent water purification device includes a biological filter, activated carbon nanoparticles, and an intelligent control system;

[0027] The biofilter is composed of multiple biofilter units, each of which is filled with biological media. The biofilter uses microorganisms to decompose the ammonia nitrogen and nitrite produced during the breeding process and convert them into harmless or low-harm substances to achieve water purification.

[0028] Activated carbon nanoparticles are integrated into the biofilter to remove heavy metal ions, harmful chemicals and pathogens from water using activated carbon nanoparticles;

[0029] The intelligent control system includes water quality sensors to monitor water quality parameters in real time. Based on the sensor data, the intelligent control system automatically adjusts the water flow rate and oxygen supply, and feeds back the water quality data and purification effect to the cloud platform.

[0030] As a further optimization scheme of the present invention, the automatic grading and sorting fishing equipment includes a fish aggregator, a fish sorter, and an automatic control system;

[0031] Among them, the fish aggregator is a channel type, which is used to guide and concentrate fish and make them enter the sorting system, and attract fish by controlling water level changes or using sound waves or light lures;

[0032] The fish sorter consists of multiple concentric circles, each with a different aperture. The fish are automatically graded and sorted according to their size and type. The fish are transported to the conveyor belt, where the size of the fish is measured by a photoelectric sensor and then automatically sorted into different collection boxes.

[0033] The automatic control system controls the automated operation of the entire grading and sorting process. The automatic control system uses PLC combined with sensors and actuators to achieve automated control and control the actions of the actuators.

[0034] As a further optimization scheme of the present invention, in the data integration and processing module, the cloud platform is connected to the sensors and cameras of the hardware facility layer through the API. The cloud platform receives and processes various data formats, stores data information through distributed databases and data centers, and quickly processes and analyzes real-time incoming data. For non-real-time data, batch processing is performed. The cloud platform has built-in data analysis tools to assist users in understanding the data. Users can view the environmental data, equipment status and fish health of the farm in real time through web pages or mobile applications. When abnormal data or equipment failure is detected, the system automatically issues an alarm to notify the management personnel.

[0035] As a further optimization scheme of the present invention, in the VR farming experience system, through virtual reality technology, the observation of the farming environment and the behavior of fish can be experienced, the elements in the virtual environment can be interacted with through the VR helmet, the farming parameters can be adjusted, the growth of fish can be observed, the virtual farming environment can be entered through the VR helmet, and the virtual farming experience can be created and run using the VR software platform;

[0036] In the remote monitoring and management system, managers can remotely view the real-time data and video surveillance of the farm, and allow users and managers to perform management operations remotely through the system.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention uses bamboo as the base material of the floating platform. Compared with traditional plastic or metal materials, bamboo has higher renewability and lower carbon emissions. It also adopts self-repairing coating technology, which can automatically repair tiny cracks on the surface of the bamboo, extend the service life of the floating platform, and reduce maintenance costs.

[0039] The present invention integrates solar panels and wind turbines to provide clean energy, and deploys a series of intelligent sensors to monitor the breeding environment and fish health in real time. It uses AI algorithms and big data analysis platforms to conduct in-depth mining of breeding data, provide decision support, and optimize breeding strategies. It also provides extreme weather warnings and automatic adjustment of the location of breeding facilities to ensure the safety of breeding facilities and fish. Finally, automatic grading and sorting fishing equipment is used to achieve automatic grading and fishing of fish, thereby improving fishing efficiency and reducing manual operations.

[0040] The present invention forms a closed-loop intelligent aquaculture management system from data collection, environmental regulation, aquaculture management, health monitoring, automatic fishing to disaster prevention and mitigation, thereby improving aquaculture efficiency and fish survival rate.

[0041] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a module block diagram of a bamboo-based offshore floating unmanned marine ranch system of the present invention. DETAILED DESCRIPTION

[0043] 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.

[0044] Embodiment 1

[0045] See also Figure 1 , a bamboo-based floating unmanned marine ranch system, including a facility module, a data integration and processing module, and an interaction module;

[0046] Among them, the facility modules include a self-repairing bamboo-based floating platform, an intelligent sensor network, a camera monitoring system, an automatic bait-casting machine, an intelligent water purification device, and automatic grading and sorting fishing equipment;

[0047] The data integration and processing module includes cloud platform, artificial intelligence algorithm, and big data analysis platform;

[0048] The interactive modules include VR farming experience system, remote monitoring and management system, and early warning system.

[0049] The surface of the self-repairing bamboo-based floating platform is coated with a self-repairing coating. The top of the self-repairing bamboo-based floating platform is installed with solar panels for collecting solar energy and converting it into electrical energy for use in the entire aquaculture system. A small wind turbine is installed on the self-repairing bamboo-based floating platform to generate electricity using sea breeze, which together with the solar panels provide power for the system. An intelligent energy management system is installed inside the self-repairing bamboo-based floating platform, which allocates electricity supply from solar and wind power generation according to the energy consumption requirements of the aquaculture system.

[0050] Specifically, for the bamboo structure and self-repairing coating technology design, the specific steps are:

[0051] Step 1: Cut the bamboo into long strips, weave and bundle them into a grid structure to improve the bearing capacity and deformation resistance of the floating platform.

[0052] Step 2: Set up multiple sealed air bags inside the bamboo grid structure to ensure the stable floating of the floating platform.

[0053] Step 3: Use nodes to reinforce the intersection of the grid to improve the overall stability of the structure.

[0054] Step 4: Apply the self-repairing coating evenly on the surface of the bamboo. The microcapsules in the coating will burst when the bamboo is damaged, releasing the repair agent, which reacts with the catalyst in the bamboo to form new polymer chains, thereby repairing the cracks.

[0055] Solar panels and wind turbines continue to generate electricity during the day and in windy conditions, which is stored in batteries for daily operation of the farming system. When damage occurs on the surface of the bamboo, the microcapsules in the self-healing coating rupture and release repair agents for repair.

[0056] The smart sensor network includes temperature sensors, dissolved oxygen monitors, water quality detectors, and biosensors;

[0057] Among them, temperature sensors are used to monitor the temperature of aquaculture water with an accuracy of ±0.1°C. They are distributed at different depths in the aquaculture area and transmit data to the cloud platform in real time.

[0058] Dissolved oxygen monitors are used to measure the dissolved oxygen content in the water. They are distributed at different points in the aquaculture area. The monitored data is transmitted in real time and used to adjust the aeration equipment and change the feeding strategy.

[0059] Water quality detectors are used to monitor pH, ammonia nitrogen, nitrite, nitrate, and phosphate indicators. They are installed at the water inlet and outlet of aquaculture water bodies. The monitored data are transmitted in real time for water quality management and early warning systems.

[0060] The biosensor is an external non-invasive biosensor used to monitor the physiological state of fish. It has the characteristics of high sensitivity and miniaturization, and sends data to the cloud platform via wireless transmission.

[0061] Further, the workflow of the smart sensor network:

[0062] Each sensor collects data at a preset frequency and transmits the collected data wirelessly to the cloud platform, which analyzes the data in real time to identify abnormal situations. Based on the analysis results, the breeding environment or breeding management strategy is automatically adjusted. When potential problems are detected, the system issues an early warning and sends a report to the management personnel. The sensor network continues to work to ensure the stability of the breeding environment and the health of the fish.

[0063] The camera monitoring system includes a high-resolution HD camera with an IP66 protection level and is equipped with a low-light sensor. The HD camera is installed on the floating platform through corrosion-resistant fixings, covering the entire breeding area. The camera continuously collects images of the breeding area and transmits them to the cloud platform in real time via a wireless network. The collected images have a resolution of 1080p.

[0064] Specifically, the activity patterns, behavioral characteristics and health status of fish are analyzed through images, fish images are taken regularly, the length and weight of fish are measured through image processing technology, the growth rate is estimated, and the breeding area is monitored for invasion of alien species. The image data is stored on the cloud platform for historical query and data analysis. The collected images are automatically identified and analyzed through deep learning algorithms, and the camera data is combined with other sensor data.

[0065] The automatic feeding machine is driven by a servo motor, has feed storage space inside and multiple adjustable feeding ports outside. There is a control system inside the automatic feeding machine. The control system integrates AI algorithms to analyze fish growth data, feeding behavior, and water quality conditions. It also contains a microprocessor or single-chip computer to receive AI analysis results and control the operation of the feeding machine.

[0066] Specifically, the system automatically adjusts the feeding time, frequency and quantity based on the analysis results of the AI ​​algorithm. It automatically selects and mixes different types of feed according to the growth stage and nutritional needs of the fish. If a malfunction occurs, it stops feeding and issues an alarm.

[0067] The working process of the automatic bait throwing machine:

[0068] The automatic feeding machine collects fish growth and environmental data from the intelligent sensor network and camera monitoring system. The AI ​​algorithm processes the collected data and predicts the current feed needs of the fish. Based on the AI ​​analysis results, it automatically selects the appropriate feed type and prepares the right amount of feed. The control unit starts the drive system and delivers the feed to the breeding area through the feeding port. After feeding, the system continues to collect data, and the AI ​​analyzes the feeding effect and adjusts the next feeding strategy if necessary. The system continuously monitors the operating status of the feeding machine and performs maintenance and troubleshooting.

[0069] The intelligent water purification device includes a biological filter, activated carbon nanoparticles, and an intelligent control system;

[0070] The biofilter is composed of multiple biofilter units, each of which is filled with biological media. The biofilter uses microorganisms to decompose the ammonia nitrogen and nitrite produced during the breeding process and convert them into harmless or low-harm substances to achieve water purification.

[0071] Activated carbon nanoparticles are integrated into the biofilter to remove heavy metal ions, harmful chemicals and pathogens from the water.

[0072] The intelligent control system includes water quality sensors to monitor water quality parameters in real time. Based on the sensor data, the intelligent control system automatically adjusts the water flow rate and oxygen supply, and feeds back the water quality data and purification effect to the cloud platform;

[0073] Specifically, the sensors in the device monitor various water quality indicators in the aquaculture water in real time, and the monitoring data is transmitted to the intelligent control system and synchronized with the cloud platform. The aquaculture water flows into the biofilter, where organic waste is removed by microorganisms, and then the activated carbon nanoparticles are used to further purify the water. The intelligent control system automatically adjusts the working state of the biofilter according to the water quality data.

[0074] Automatic grading and sorting fishing equipment includes fish aggregators, fish sorters, and automatic control systems;

[0075] Among them, the fish aggregator is a channel type, which is used to guide and concentrate fish and make them enter the sorting system. It attracts fish by controlling water level changes or using sound waves or light lures.

[0076] The fish sorter consists of multiple concentric circles, each with a different aperture. The fish are automatically graded and sorted according to their size and type. The fish are transported to the conveyor belt, where the size of the fish is measured by a photoelectric sensor and then automatically sorted into different collection boxes.

[0077] The automatic control system controls the automated operation of the entire grading and sorting process. The automatic control system uses PLC combined with sensors and actuators to achieve automated control and control the actions of the actuators.

[0078] Specifically, the fish in the breeding area are guided to the grading and sorting system through the fish aggregator, and the fish are initially graded according to their size through the grading wheel. The fish pass through the photoelectric sensor and weight sensor one by one through the conveyor belt to measure the size or weight of the fish. According to the measurement results, the automatic control system controls the sorting mechanism to sort the fish into different collection boxes. The size, weight and quantity data of the fish are recorded during the sorting process and transmitted to the cloud platform.

[0079] In the data integration and processing module, the cloud platform connects with sensors and cameras at the hardware facility layer through APIs. The cloud platform receives and processes various data formats, stores data information through distributed databases and data centers, and quickly processes and analyzes real-time incoming data. For non-real-time data, batch processing is performed. The cloud platform has built-in data analysis tools to help users understand the data. Users can view the farm's environmental data, equipment status, and fish health in real time through web pages or mobile applications. When abnormal data or equipment failure is detected, the system automatically issues an alarm to notify management personnel.

[0080] Specifically, the cloud platform uses relational or non-relational databases to store structured and unstructured data, and regularly backs up data and implements redundant storage strategies, automatically cleans data, removes invalid, erroneous or duplicate data, and uses AI and machine learning algorithms to perform trend analysis and pattern recognition on data. The monitoring interface includes an interactive map that shows the specific location of the farm and the distribution of equipment. Users send control commands through the cloud platform to remotely operate the farm's equipment.

[0081] Convolutional neural networks are used in artificial intelligence algorithms to automatically identify and analyze images. The growth curve of fish is simulated to predict the growth rate, weight and body shape of fish. Machine learning and fish growth models are combined to analyze breeding data and predict the growth trend of fish.

[0082] Different marine environmental conditions are simulated through environmental simulators to predict the aquaculture effects under different environments. Advanced environmental simulation technology is used to combine meteorological data and marine environmental parameters to predict the impact of environmental changes on aquaculture. The aquaculture strategies are learned and improved through supervised learning from historical data.

[0083] Specifically, the deep learning algorithm recognizes and classifies the images captured by the camera, analyzes the growth status and behavior of the fish, and the machine learning model combines the fish growth model to simulate the fish growth curve and predict future growth. The environmental simulator predicts the impact of environmental changes on aquaculture based on meteorological data and marine environmental parameters. Based on the above analysis results, the artificial intelligence algorithm optimizes the feed feeding amount, water quality management, and aquaculture environment regulation, and automatically controls and adjusts the feeding machine and aeration equipment according to the optimized aquaculture strategy.

[0084] The big data analysis platform integrates data from smart sensor networks, camera monitoring systems, and automatic bait dispensers, and processes structured and unstructured data. It uses a distributed data warehouse to store large amounts of breeding data, and combines data warehouses with data lakes to store semi-structured and unstructured data.

[0085] Subsequently, invalid, erroneous or duplicate data is removed, valuable information is mined from large amounts of data through machine learning, and the analysis results are used to generate reports that are provided to breeding managers.

[0086] In the VR farming experience system, virtual reality technology is used to experience the observation of the farming environment and the behavior of fish. The VR helmet is used to interact with the elements in the virtual environment, adjust the farming parameters, observe the growth of fish, enter the virtual farming environment through the VR helmet, and use the VR software platform to create and run the virtual farming experience.

[0087] In the remote monitoring and management system, managers can remotely view the real-time data and video surveillance of the farm, and allow users and managers to perform management operations remotely through the system.

[0088] Specifically, real-time data is transmitted to the remote monitoring and management system through the network. The system sets different operation permissions to ensure that only authorized users and managers can perform management operations. Extreme weather events are predicted in advance through meteorological data and early warning systems. After extreme weather warnings, the system can automatically adjust the location of breeding facilities;

[0089] Integrate with meteorological data service providers to obtain meteorological data in real time and set warning thresholds. When extreme weather is predicted, the system will issue a warning and automatically control the movement of breeding facilities to move them to a safe area before the storm arrives.

[0090] The intelligent sensor network and camera monitoring system collects data on the aquaculture environment and fish growth in real time. The data is uploaded to the cloud platform, and the artificial intelligence algorithm performs preliminary processing and analysis. According to the results of the artificial intelligence analysis, the temperature, dissolved oxygen, and water quality parameters are automatically adjusted. The intelligent water purification device and the automatic feeding machine adjust the working status according to the instructions. The machine learning algorithm continuously optimizes the aquaculture strategy. The big data analysis platform provides decision support. Users manage and experience aquaculture through the VR aquaculture experience system and remote monitoring management system. Biosensors monitor the physiological state of fish, and the early warning system prevents diseases, analyzes fish health data, and adjusts aquaculture measures in time. Automatic grading and sorting fishing equipment grades and catches fish according to the size of the fish. The early warning system monitors extreme weather and issues early warnings. The protective device adjusts the position of the floating platform according to the instructions to protect the aquaculture facilities and fish. The aquaculture effect data is collected and fed back to the artificial intelligence algorithm for optimization. Users adjust the aquaculture plan and management strategy based on the system feedback.

[0091] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0092] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0093] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0094] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0095] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0096] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A bamboo-based floating unmanned marine ranch system, characterized in that: It includes facility module, data integration and processing module, and interaction module; Among them, the facility modules include a self-repairing bamboo-based floating platform, an intelligent sensor network, a camera monitoring system, an automatic bait-casting machine, an intelligent water purification device, and automatic grading and sorting fishing equipment; The data integration and processing module includes cloud platform, artificial intelligence algorithm, and big data analysis platform; The interactive modules include VR farming experience system, remote monitoring and management system, and early warning system.

2. The bamboo-based floating unmanned marine ranch system according to claim 1 is characterized in that: The surface of the self-repairing bamboo-based floating platform is coated with a self-repairing coating. A solar panel is installed on the top of the self-repairing bamboo-based floating platform to collect solar energy and convert it into electricity for use in the entire aquaculture system. A small wind turbine is installed on the self-repairing bamboo-based floating platform to generate electricity using sea breeze and provide power for the system together with the solar panels. An intelligent energy management system is installed inside the self-repairing bamboo-based floating platform, which allocates the power supply of solar and wind power generation according to the energy consumption requirements of the aquaculture system. Solar panels and wind turbines continue to generate electricity during the day and in windy conditions, which is stored in batteries for daily operation of the farming system. When damage occurs on the surface of the bamboo, the microcapsules in the self-healing coating rupture and release repair agents for repair.

3. The bamboo-based floating unmanned marine ranch system according to claim 2 is characterized in that: The specific steps for the structure and self-repairing coating of bamboo are: Step 1: Cut the bamboo into long strips and form a grid structure by weaving and bundling; Step 2: Set up multiple sealed air bags inside the bamboo grid structure to ensure the stable floating of the floating platform; Step 3: Use nodes for reinforcement at the intersection of the grid; Step 4: Apply the self-repairing coating evenly on the surface of the bamboo. The microcapsules in the coating will burst when the bamboo is damaged, releasing the repair agent, which reacts with the catalyst in the bamboo to form new polymer chains, thereby repairing the cracks.

4. The bamboo-based floating unmanned marine ranch system according to claim 1 is characterized in that: The smart sensor network includes temperature sensors, dissolved oxygen monitors, water quality detectors, and biosensors; Among them, temperature sensors are used to monitor the temperature of aquaculture water with a range of ±0.1°C. They are distributed at different depths in the aquaculture area and transmit data to the cloud platform in real time. Dissolved oxygen monitors are used to measure the dissolved oxygen content in the water. They are distributed at different points in the aquaculture area. The monitored data is transmitted in real time and used to adjust the aeration equipment and change the feeding strategy. Water quality detectors are used to monitor pH, ammonia nitrogen, nitrite, nitrate, and phosphate indicators. They are installed at the water inlet and outlet of aquaculture water bodies. The monitored data are transmitted in real time for water quality management and early warning systems. The biosensor is an external non-invasive biosensor used to monitor the physiological state of fish. It has the characteristics of high sensitivity and miniaturization, and sends data to the cloud platform via wireless transmission.

5. The bamboo-based floating unmanned marine ranch system according to claim 1 is characterized in that: The camera monitoring system includes a high-resolution HD camera with an IP66 protection level and is equipped with a low-light sensor. The HD camera is installed on the floating platform through corrosion-resistant fixings, covering the entire breeding area. The camera continuously collects images of the breeding area and transmits them to the cloud platform in real time via a wireless network. The collected images have a resolution of 1080p.

6. The bamboo-based floating unmanned marine ranch system according to claim 1 is characterized in that: The automatic feeding machine is driven by a servo motor, has feed storage space inside and multiple adjustable feeding ports outside. There is a control system inside the automatic feeding machine. The control system integrates AI algorithms to analyze fish growth data, feeding behavior, and water quality conditions. It also contains a microprocessor or single-chip computer to receive AI analysis results and control the operation of the feeding machine.

7. The bamboo-based floating unmanned marine ranch system according to claim 1 is characterized in that: The intelligent water purification device includes a biological filter, activated carbon nanoparticles, and an intelligent control system; The biofilter is composed of multiple biofilter units, each of which is filled with biological media. The biofilter uses microorganisms to decompose the ammonia nitrogen and nitrite produced during the breeding process and convert them into harmless or low-harm substances to achieve water purification. Activated carbon nanoparticles are integrated into the biofilter to remove heavy metal ions, harmful chemicals and pathogens from water using activated carbon nanoparticles; The intelligent control system includes water quality sensors to monitor water quality parameters in real time. Based on the sensor data, the intelligent control system automatically adjusts the water flow rate and oxygen supply, and feeds back the water quality data and purification effect to the cloud platform.

8. The bamboo-based floating unmanned marine ranch system according to claim 1 is characterized in that: Automatic grading and sorting fishing equipment includes fish aggregators, fish sorters, and automatic control systems; Among them, the fish aggregator is a channel type, which is used to guide and concentrate fish and make them enter the sorting system, and attract fish by controlling water level changes or using sound waves or light lures; The fish sorter consists of multiple concentric circles, each with a different aperture. The fish are automatically graded and sorted according to their size and type. The fish are transported to the conveyor belt, where the size of the fish is measured by a photoelectric sensor and then automatically sorted into different collection boxes. The automatic control system controls the automated operation of the entire grading and sorting process. The automatic control system uses PLC combined with sensors and actuators to achieve automated control and control the actions of the actuators.

9. The bamboo-based floating unmanned marine ranch system according to claim 1, characterized in that: In the data integration and processing module, the cloud platform connects to the sensors and cameras at the hardware facility layer through APIs. The cloud platform receives and processes various data formats, stores data information through distributed databases and data centers, and quickly processes and analyzes real-time incoming data. For non-real-time data, batch processing is performed. The cloud platform has built-in data analysis tools to help users understand the data. Users can view the farm's environmental data, equipment status, and fish health in real time through web pages or mobile applications. When abnormal data or equipment failure is detected, the system automatically issues an alarm to notify management personnel.

10. The bamboo-based floating unmanned marine ranch system according to claim 1, characterized in that: In the VR farming experience system, through virtual reality technology, you can experience the observation of the farming environment and the behavior of fish. Through the VR helmet, you can interact with the elements in the virtual environment, adjust the farming parameters, observe the growth of fish, enter the virtual farming environment through the VR helmet, and use the VR software platform to create and run the virtual farming experience. In the remote monitoring and management system, managers can remotely view the real-time data and video surveillance of the farm, and allow users and managers to perform management operations remotely through the system.

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