Motorized intelligent fish searching system and fishing system, management system and fishing method thereof

Abstract

The invention discloses a maneuvering intelligent fish-finding system and a fishing system, a management system and a fishing method thereof, and integrates satellite navigation, multi-source sensing, dynamic path optimization and block chain storage technologies, namely, an intelligent fish-finding aircraft carries a positioning navigation control module and an information acquisition assembly; the intelligent fish-finding aircraft can automatically cruise and adaptively plan a path, accurately collect fish school data, send the collected data to the cloud server through the communication module to perform data analysis, generate an effective fish school distribution thermodynamic diagram, and store the fish school distribution thermodynamic diagram in a block chain manner, so that the fish school distribution thermodynamic diagram is stored in a block chain manner. The credibility of the fish school distribution thermodynamic diagram is ensured; based on the fish school distribution thermodynamic diagram, real-time, real and effective big data reference support can be provided for fishing, the intelligent fishing effect is achieved, the fishing mode is improved and optimized, the interest of fishermen in fishing fun is increased, and the fishing fun fishing means are enriched.

Description

[Technical Field]

[0001] This invention relates to the field of aquatic fishing technology, specifically to a motorized intelligent fish-finding system and its fishing system, management system, and fishing method. [Background Technology]

[0002] Traditional fishing mainly relies on human experience or manual patrols of the water to determine the distribution of fish schools. During the fishing process, there is a lack of scientific data to support the dynamics of fish schools. Moreover, the intensive manual search for fish can easily disrupt the ecological balance of the corresponding water area, and also has problems such as low efficiency, waste of resources, and environmental pollution.

[0003] In addition, existing equipment for artificial fish finding on water generally uses sonar and cameras as fish finding devices, which can only simply obtain the current location of the fish school. However, when obtaining the location information of the fish school, it cannot simultaneously obtain multi-dimensional environmental information and image information such as water depth, water temperature, air temperature, and air pressure.

[0004] Moreover, establishing a real-time fish-finding information link between conventional sonar detection and fish-finding systems and manual platforms makes manual fish-finding patrols susceptible to the complex environment of the waters, which can even lead to safety accidents. Although sonar detection and fish-finding communication systems are equipped with GPS positioning, the location coordinates of fish schools and other related data may be tampered with. Their authenticity and reliability cannot meet the compliance requirements for data storage in fishing consumption services, especially the regulatory requirement that data storage in commercial fishing venues must be tamper-proof.

[0005] Furthermore, different fish groups generally have different food chains and foraging habits, and their activities are closely related to changes in water temperature, air temperature, and season. Current methods for manually searching for fish on the water's surface are relatively simple and inefficient. During the search, the recorded fish distribution data cannot form an effective fish distribution map, thus failing to meet the need for precise time-based and seasonal guidance for fishing. It also cannot integrate the recorded data for correlation analysis or data storage.

[0006] Furthermore, although there are vast areas of public fishery resources in rivers, lakes, and seas, overfishing in the past one or two decades has severely depleted these resources. To address this situation, different fishing moratoriums have been established for public fishery resources in various regions based on local conditions. These moratoriums typically last for several months, during which traditional fishing operations are strictly limited, except for permitted scientific fishing, permitted fishing tackle operations, and managed recreational fishing with a single rod, line, and hook. To cooperate with the fishing moratorium policy and regulate fishing activities in moratorium-regulated waters, it is urgent to utilize smart technologies to ensure compliant fishing during moratoriums and to develop sustainable fishing techniques and management methods for aquaculture farms to meet the public's demand for compliant recreational fishing during moratoriums.

[0007] This invention was developed to address the shortcomings of existing technologies. [Summary of the Invention]

[0008] This invention provides a mobile intelligent fish-finding system and its fishing system, management system, and fishing method, integrating satellite navigation, multi-source sensing, dynamic path optimization, and blockchain storage technologies. Specifically, the intelligent fish-finding vehicle is equipped with a positioning, navigation, and control module and an information collection component. The intelligent fish-finding vehicle can automatically cruise and adaptively plan paths to accurately collect fish school data. The collected data is then sent to a cloud server via a communication module for data analysis, generating an effective fish school distribution heatmap. This heatmap is stored using blockchain technology to ensure its reliability. Based on this heatmap, real-time, accurate, and effective big data reference support can be provided for fishing, achieving intelligent fishing effects, improving and optimizing fishing methods, increasing the interest of anglers, and enriching the means of fishing.

[0009] To solve the above-mentioned technical problems, the present invention provides a mobile intelligent fish-finding system, comprising an intelligent fish-finding vehicle 1 and a cloud server 2;

[0010] The intelligent fish-finding vehicle 1 can travel on water. The intelligent fish-finding vehicle 1 is equipped with a main control module 11 for controlling the intelligent fish-finding vehicle 1, as well as a propulsion component 12, a positioning and navigation control module 13, an information acquisition component 14 and a communication module 15, all of which are electrically connected to the main control module 11.

[0011] The propulsion component 12 is configured to drive the intelligent fish-finding vehicle 1 to travel on the water surface or in the water.

[0012] The positioning and navigation control module 13 is configured to enable the intelligent fish-finding vehicle 1 to travel in the corresponding water area according to a preset path;

[0013] The information acquisition component 14 is configured to at least detect the presence of fish and record the location information of the fish.

[0014] The communication module 15 is configured to send the information collected by the information collection component 14 to the cloud server 2 to generate a heat map of fish distribution.

[0015] The cloud server 2 is configured to receive and process the data transmitted by the communication module 15, and integrates at least a data analysis module 21 and a fish heat map generation module 22.

[0016] The data analysis module 21 includes an environmental analysis module 211 and a fish school analysis module 212. The data analysis module 21 is configured to process and analyze the information sent by the communication module 15 received by the cloud server 2.

[0017] The heat map generation module 22 is configured to generate a heat map of fish distribution based on the analysis data from the data analysis module 21.

[0018] As described above, in a mobile intelligent fish-finding system, the cloud server 2 further includes a blockchain storage module 23. The blockchain storage module 23 is configured to: perform hash calculation on the fish distribution heatmap generated by the heatmap generation module 22 to generate a unique hash value, bind the hash value with the spatiotemporal coordinates and associate it with the hash value of the previous block, and write it into the blockchain node for storage, thereby achieving tamper-proof data storage.

[0019] As described above, in a mobile intelligent fish-finding system, the intelligent fish-finding vehicle 1 is also connected to a fish-attracting component 16, which is electrically connected to the main control module 11. The fish-attracting component 16 is configured to attract fish to gather by releasing bait.

[0020] As described above, in a mobile intelligent fish-finding system, the positioning and navigation control module 13 is a Beidou satellite positioning and navigation module, and the intelligent fish-finding vehicle 1 is configured to achieve path planning and complete automatic navigation through the Beidou satellite positioning and navigation module.

[0021] As described above, in a mobile intelligent fish-finding system, the information acquisition component 14 includes an environmental sensing device 143 and a fish-finding device 141 mounted on the intelligent fish-finding vehicle 1; the environmental sensing device 143 is configured to collect environmental information of the intelligent fish-finding vehicle 1; and the fish-finding device 141 is configured to detect and find information about fish schools.

[0022] As described above, in a mobile intelligent fish-finding system, the information acquisition component 14 further includes a fish identification device 142, which is configured to record the biological information of the fish population.

[0023] As described above, in a mobile intelligent fish-finding system, the environmental perception device 143 includes a radar detection device installed on the intelligent fish-finding vehicle 1. The radar detection device is configured to monitor obstacles on the water surface or in the water in real time to assist in adaptive path planning and obstacle avoidance.

[0024] As described above, in a mobile intelligent fish-finding system, the fish-finding device 141 includes a sonar detection device mounted on the intelligent fish-finding vehicle 1; and / or the fish identification device 142 includes an underwater camera mounted on the intelligent fish-finding vehicle 1.

[0025] The mobile intelligent fish-finding system described above also includes a user terminal 3, which is configured to obtain a fish distribution heat map from the blockchain storage module 23.

[0026] As described above, in a mobile intelligent fish-finding system, the data analysis module 21 further includes an AI prediction module 213. The AI ​​prediction module 213 is configured to: associate the environmental analysis module 211 and the fish school analysis module 212, and based on fish school distribution data, environmental parameters and meteorological data, train an AI data model through machine learning algorithms to generate a predictive fish school distribution heat map.

[0027] This invention also provides a fishing system for leisure fishing, which employs the aforementioned motorized intelligent fish-finding system, comprising:

[0028] Fishing area 6;

[0029] A mobile platform 621 is configured to support user activities in fishing water area 6 and provide fishing functions;

[0030] Fixed fishing spot 61 is set on the bank of the fishing water area 6 or on a fixed structure on the water surface;

[0031] The movable fishing spot 62 is set on the mobile platform 621 that can move within the fishing water area 6;

[0032] The intelligent fish-finding drone 1 is configured to collect environmental information data and fish school information data in the fishing water area 6 through the information collection component 14, and send the environmental information data and fish school information data collected by the information collection component 14 to the cloud server 2 through the communication module 15 to generate a fish school distribution heat map.

[0033] Therefore, the fishing system of the present invention sets up different fixed and mobile fishing spots, allowing people to choose either a fixed spot or a mobile spot that can move on the water surface. The success rate of fishing differs between the fixed and mobile spots, thereby increasing the entertainment and challenge of fishing and enriching the means of fishing.

[0034] As described above, the fishing system also includes a floating island 63 set in the fishing area 6, with artificial breeding space 631 for stock enhancement and release provided on the bottom and / or sides of the floating island 63.

[0035] As described above, in a fishing system for recreational fishing, the fixed fishing spot 61 is located at the edge of the fishing water area 6 and the edge of the platform of the floating island 63.

[0036] The present invention also provides a fishing management system, employing the mobile intelligent fish-finding system described in any one of the above claims, comprising:

[0037] The fish-finding control module 71 is configured to communicate with the intelligent fish-finding vehicle 1 to control its cruise in the corresponding waters.

[0038] Data interaction module 72 is configured to communicate with the cloud server 2 to obtain and call fish distribution heat map and / or environmental information data;

[0039] User management module 73 is configured to verify user identity and open up corresponding fish distribution heatmaps and / or environmental information data to verified users.

[0040] The blockchain evidence storage module 76 is configured to generate hash values ​​from electronic voucher verification records, catch data, and water quality monitoring data, and then write them to the blockchain after binding them with spatiotemporal coordinates.

[0041] As described above, the fishing management system also includes a fishing process sharing module 74, which is configured to collect data related to the fishing process, generate visual information, and share it with verified users.

[0042] As described above, in a fishing management system, the user management module 73 includes a random permission allocation module 731, configured to: generate electronic credentials with hierarchical permissions based on a preset correspondence between operation duration parameters and permission levels; the electronic credentials contain at least one basic operation permission and may selectively contain extended operation permissions; respond to a permission activation command from a user terminal, calculate the allocation probability of extended operation permissions using a tiered algorithm, the tiered algorithm iteratively adjusting the calculation weights based on historical user interaction data; when the allocation conditions for extended operation permissions are met, select specific operation permissions from a preset set of extended operation permissions for allocation; and dynamically display on the user interface: a list of basic operation permissions corresponding to the current electronic credentials, the allocation probability value of extended operation permissions corresponding to the current electronic credentials, and a set of allocable extended operation permissions.

[0043] As described above, in a fishing management system, the random permission allocation module 731 includes a permission allocation probability module 7311, configured to iteratively adjust the probability of calculating extended operation permissions based on historical user interaction data. The historical interaction data includes, but is not limited to, the number of times the user requested permission activation commands, the user's cross-platform data distribution operation records, and the number of times the user obtained electronic credentials of different levels.

[0044] As described above, in the fishing management system, the user management module 73 includes an electronic voucher verification module 732, which is configured to: parse the electronic voucher level and the corresponding preset operation duration parameters, and grant device operation permissions with corresponding validity periods, the corresponding fish distribution heat map data accuracy level, and different fishing spot usage permissions according to the authorization policy.

[0045] As described above, the fishing management system includes a user management module 73 that further includes a reservation control module 733, configured to allocate the types and time ranges of reservable fishing spots based on the level of electronic vouchers; generate a visual reservation interface on the user terminal 3, which displays recommended fishing spots and available time periods in real time based on a fish distribution heatmap; and respond to reservation instructions by calling the blockchain storage module 76 to bind the reservation record with spatiotemporal coordinates and write it into the blockchain node.

[0046] As described above, the fishing management system also includes an ecological monitoring module 75, which is configured to collect at least one of the following indicators through monitoring equipment: basic survival indicators, nutrient and organic matter indicators, biological toxicity indicators, and ecological integrity indicators; when the data indicators exceed the ecological and environmental protection limits, it sends an early warning command to the management system and triggers an adjustment strategy.

[0047] As described above, in the fishing management system, the blockchain evidence storage module 76 is further configured to perform hash calculations on the collected fish distribution heatmap and fishing spot usage records to generate a unique hash value, and then bind the hash value with spatiotemporal coordinates and associate it with the hash value of the previous block, and write it into the blockchain node for storage.

[0048] This invention further provides a fishing method for enjoyment, employing the aforementioned motorized intelligent fish-finding system, comprising the following steps:

[0049] S1. Deploy intelligent fish-finding vehicle 1 to patrol the corresponding waters;

[0050] S2. When the intelligent fish-finding vehicle 1 is cruising in the corresponding water area, it collects the corresponding water area environmental information data and fish school information data through the information collection component 14, and sends the corresponding water area environmental information data and fish school information data collected by the information collection component 14 to the cloud server 2 through the communication module 15.

[0051] S3. The cloud server 2 processes and analyzes the received corresponding aquatic environment information data and fish information data, and generates the address code of the corresponding aquatic area and the associated fish distribution heat map.

[0052] S4. Select fishing locations based on the spatiotemporal characteristics of the corresponding water areas indicated by the fish distribution heatmap.

[0053] As described above, the fishing method for leisure fishing also includes S3-1 after step S3, which involves storing the fish distribution heat map generated in step S3 through the blockchain storage module 23 to ensure the immutability of the data.

[0054] In the above-described fishing method, in step S3, based on the received environmental information data and fish information data of the corresponding water area, a predictive fish distribution heat map is generated by predicting the migration direction of the fish school through a machine learning algorithm; in step S4, a fishing location is selected based on the spatiotemporal characteristics of the fish distribution heat map and the prediction results of the predictive fish distribution heat map.

[0055] In the above-described fishing method, in step S3, based on the received environmental information data and fish information data of the corresponding water area, a machine learning algorithm is used to predict the fish distribution of another water area with similar terrain and environmental parameters, and a predictive fish distribution heat map is generated; in step S4, a fishing location is selected based on the spatiotemporal characteristics of the fish distribution heat map and the prediction results of the predictive fish distribution heat map.

[0056] In the above-described fishing method, in step S2, the intelligent fish-finding drone 1 sends the collected data to the cloud server 2 periodically or irregularly through the communication module 15; in step S3, the cloud server 2 updates and generates a fish distribution heat map periodically or irregularly for users to access according to their permissions.

[0057] As described above, in this fishing method, the environmental information data includes one or more of the following: water temperature, water depth, dissolved oxygen concentration, and current speed; the fish information data includes one or more of the following: fish population, fish size, and fish species.

[0058] Compared with the prior art, the present invention has the following advantages:

[0059] 1. The mobile intelligent fish-finding system of the present invention collects fish activity information data through information collection components, and generates a fish distribution heat map by performing correlation analysis on the information data. Furthermore, the fish distribution heat map is stored in the form of blockchain to ensure that the fish distribution heat map is traceable and tamper-proof, so as to better provide people with reliable fish information. Therefore, it provides a compliant certificate for commercial fishing and recreational fishing sites that have fish available for fishing.

[0060] 2. The intelligent fish-finding vehicle integrates a positioning and navigation control module and an information collection component. The positioning and navigation control module uses the BeiDou satellite positioning and navigation module, enabling it to travel in the corresponding waters according to the path planned by the positioning and navigation control module. During the journey, the information collection component collects information about fish schools, and then the collected information is sent to the cloud server through the communication module. Finally, a fish school distribution heat map is generated, which is characterized by high efficiency in fish finding and environmental protection. By generating a fish school distribution heat map with spatiotemporal characteristics and storing it through blockchain, the fish school distribution information achieves a decentralized and feasible storage mechanism, ensuring that the fish school distribution heat map is traceable and tamper-proof, so as to better provide people with reliable fish school identification information and improve people's fishing efficiency and enjoyment.

[0061] 3. The positioning and navigation control module and the dynamic obstacle avoidance algorithm are configured to control in a coordinated manner, enabling the intelligent fish-finding vehicle to adapt to complex aquatic environments, support automatic grid-based cruise and adaptive path planning cruise, realize intelligent features, and obtain more comprehensive environmental and fish information.

[0062] 4. Storing fish distribution heatmaps in the form of blockchain makes them tamper-proof, providing scientific and gamified reliable technical support for fishing, which is conducive to promoting the digital upgrade of fisheries, realizing smart intelligence, and improving the credibility of fish availability.

[0063] 5. The information collection component collects environmental and fish information simultaneously during the journey, providing a more comprehensive big data reference for the correlation analysis of fish and environmental information, which helps to solve the problem of fragmentation between traditional single data collection.

[0064] 6. From fish school detection and fish distribution heat map generation to automatic and visualized fishing, the entire process can be automated, reducing resource waste and making it more efficient than traditional fishing methods. It can also be remotely participated in and operated, promoting the development of fisheries towards digitalization and intelligence.

[0065] 7. It effectively and scientifically solves the problem of supply and demand matching, strengthens resource management, and dynamically divides fishing grounds into areas based on fish distribution heatmap data. A time-segmented access strategy is implemented through the user management module to achieve time-segmented management. Furthermore, it facilitates participants sharing their fishing experiences, building fishing communities, improving user experience, and enhancing commercial scalability.

[0066] 8. This invention provides a fishing method based on time-sharing big data reference information on fish habitat provided by a fish distribution heatmap. Users can selectively and efficiently visualize and fish for the fish they want, enhancing their sense of accomplishment and enjoyment. Furthermore, the fishing management system can further improve the efficiency and entertainment value of predictable fishing by updating the fish distribution heatmap regularly or irregularly, while ensuring the reference validity of the fish distribution heatmap and the reliability of the availability of fish. [Attached Image Description]

[0067] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings, wherein:

[0068] Figure 1 This is a schematic diagram of the structure of an intelligent fish-finding vehicle according to the present invention;

[0069] Figure 2 This is a schematic diagram of the structure of an intelligent fish-finding vehicle, which is another type of mobile intelligent fish-finding system according to the present invention.

[0070] Figure 3 This is a schematic diagram of the structure of an intelligent fish-finding vehicle, which is another type of mobile intelligent fish-finding system according to the present invention.

[0071] Figure 4 This is a schematic diagram of the structure of an intelligent fish-finding vehicle, which is another type of mobile intelligent fish-finding system according to the present invention.

[0072] Figure 5 This is a logic diagram of a mobile intelligent fish-finding system according to the present invention;

[0073] Figure 6 This is one of the structural schematic diagrams of a mobile water platform with a net trap device applicable to the present invention;

[0074] Figure 7 This is a second schematic diagram of the structure of a mobile water platform with a net trap device applicable to the present invention;

[0075] Figure 8 This is a schematic diagram of the structure of a fishing system according to the present invention;

[0076] Figure 9 This is a logic diagram of a fishing and leisure management system according to the present invention;

[0077] Figure 10 This is a schematic diagram of the structure of a floating island for fishing management according to the present invention.

Detailed Implementation Methods

[0078] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0079] like Figures 1-3As shown, the present invention provides a mobile intelligent fish-finding system, including an intelligent fish-finding vehicle 1 and a cloud server 2. The intelligent fish-finding vehicle 1 includes a main control module 11, a propulsion component 12, a positioning and navigation control module 13, an information acquisition component 14, and a communication module 15. The intelligent fish-finding vehicle 1 can travel on the water surface or in the water. The main control module 11 is located inside the intelligent fish-finding vehicle 1 and is used to control the intelligent fish-finding vehicle 1. The propulsion power component 12 is connected to the intelligent fish-finding vehicle 1 and is electrically connected to the main control module 11 to drive the intelligent fish-finding vehicle 1 to travel on the water. The positioning and navigation control module 13 is located on the intelligent fish-finding vehicle 1 and is electrically connected to the main control module 11. The positioning and navigation control module 13 is configured to enable the intelligent fish-finding vehicle 1 to travel in the corresponding water area according to a preset path. The information acquisition component 14 is located on the intelligent fish-finding vehicle 1 and is electrically connected to the main control module 11. The information acquisition component 14 is configured to at least detect the presence of fish schools and record the location information of fish schools. The communication module 15 is located on the intelligent fish-finding vehicle 1 and is electrically connected to the main control module 11. The communication module 15 is configured to send the information collected by the information acquisition component 14 to the cloud server 2 to generate a fish school distribution heat map.

[0080] like Figure 1-4 As shown, the outer shell of the intelligent fish-finding vehicle 1 is made of corrosion-resistant material and has collision protection. The propulsion assembly 12 includes an underwater thruster mounted on the intelligent fish-finding vehicle 1, such as... Figure 1 As shown, the intelligent fish-finding vehicle 1 is an aquatic robot, and its propulsion power unit 12 employs dual-vector thrusters symmetrically distributed on both sides of its rear body. Preferably, the propulsion power unit 12 can be an underwater thruster, suitable for underwater operation. Preferably, the underwater thruster and the intelligent fish-finding vehicle 1 are detachably connected, that is, the underwater thruster and the intelligent fish-finding vehicle 1 are engaged through slots and blocks, and after full engagement, they are electrically connected through the provided electrical connection terminals.

[0081] like Figure 2 As shown, the intelligent fish-finding vehicle 1 can also be made of a standard buoyancy box 41, which has a hollow structure inside and is filled with foam floats that can prevent sinking. The intelligent fish-finding vehicle 1 is composed of a standard buoyancy box 41 and a water-dividing part. The propulsion component 12 is set at the bottom or side of the standard buoyancy box 41 to drive the standard buoyancy box 41 to move on the water surface.

[0082] like Figure 1 , 2 The intelligent fish-finding underwater vehicle 1 may use the Subnado underwater propulsion unit 12 from Weidu Intelligent Technology Co., Ltd.

[0083] like Figure 3As shown, the intelligent fish-finding vehicle 1 can also be an intelligent bionic fish structure. The intelligent bionic fish is configured to cruise within a range of 5 meters above the water and underwater, and is equipped with a corresponding detection module, enabling it to detect underwater fish schools and upload data to a cloud server. By using an intelligent bionic fish, it is possible to avoid disturbing the fish schools and reduce the impact on the environment and ecology.

[0084] like Figure 4 As shown, the intelligent fish-finding underwater vehicle 1 can also be configured as a bucket-shaped structure that floats on water with an openable lid. The inside of the bucket can accommodate people or place equipment, and the battery pack for power supply is placed at the bottom of the bucket to lower the center of gravity. In use, the top flip-top design allows people to enter and exit, and the propulsion unit 12 and other detection devices are all located on the waist side of the outer shell of the bucket. Preferably, the outer shell of the bucket can be made transparent, so that people inside the bucket can directly observe the situation in the water. In addition to being used for fish finding, the intelligent fish-finding underwater vehicle 1 with this structure can also be used for science education and popular science.

[0085] The main control module 11 of this invention includes multiple different MCU microcontroller modules installed inside the intelligent fish-finding vehicle 1. These different MCU microcontroller modules are responsible for different controls to achieve different functions. The intelligent fish-finding vehicle 1 also includes a positioning and navigation control module 13. With the assistance of satellite positioning, the intelligent fish-finding vehicle 1 adapts to complex aquatic environments, supports automatic grid-based cruising, and achieves intelligent operation. The intelligent fish-finding vehicle 1 also includes an information acquisition component 14, which records observed data and sends it to a communication module 15, thereby communicating with a cloud server 2. The cloud server 2 generates a fish distribution heatmap based on the information acquired by the information acquisition component 14. The communication module 15 is responsible for communicating with the cloud server 2, sending the collected data, and receiving control commands to the intelligent fish-finding vehicle 1. This modular design improves the maintainability, expandability, and versatility of the intelligent fish-finding vehicle 1.

[0086] like Figure 1 and Figure 2 As shown, the intelligent fish-finding drone 1 is also connected to a fish-attracting component 16, which is configured to attract fish by releasing bait. Figure 1 As shown, the fish-attracting component 16 is snapped onto the intelligent fish-finding drone 1. The fish-attracting component 16 includes a housing, a feed bin, and a feeding extrusion structure. The movement of the feeding extrusion structure is controlled by the main control module 11. The feeding extrusion structure can be a common connecting rod piston structure or a screw feeding mechanism. The fish-attracting component 16 expands the functionality of the intelligent fish-finding drone 1, allowing it to be used as a portable baiting device, increasing the enjoyment of fishing. Figure 1 and Figure 2As shown, depending on the different usage scenarios, the fish attracting component 16 can adopt a horizontal or vertical structure. The fish attracting component 16 on the intelligent fish finding vehicle 1 functions similarly to the baiting device used in daily fishing, but it is more intelligent, easier to use, and applicable to a wider range of environments than ordinary baiting devices.

[0087] In some embodiments of the present invention, the positioning and navigation control module 13 installed on the intelligent fish-finding vehicle 1 adopts domestically produced BeiDou satellite positioning technology. The positioning and navigation control module 13 is a BeiDou satellite positioning and navigation module, and the BeiDou satellite positioning and communication system within the positioning and navigation control module 13 can be a GYM2003B BeiDou module, which has high integration, low power consumption, and convenient interface. The BeiDou satellite positioning and navigation module obtains the intelligent fish-finding vehicle 1's own positioning information in real time through real-time communication with the BeiDou satellite. This positioning information, along with the data collected by the information acquisition component 14, is sent to the cloud server 2 via the communication module 15 to generate a fish distribution heatmap. Furthermore, using this positioning information, the intelligent fish-finding vehicle 1, combined with the path information planned by the cloud server 2 and the received command information, can automatically navigate in the water according to its own positioning information, completing automatic navigation. The information acquisition component 14 includes an environmental sensing device 143 and a fish-finding device 141 installed on the intelligent fish-finding vehicle 1. The environmental sensing device 143 is configured to collect environmental information of the intelligent fish-finding vehicle, including surface environmental information and underwater environmental information. The fish-finding device 141 is configured to detect and find the location information of fish schools.

[0088] In some embodiments of the present invention, the environmental sensing device 143 includes different types of sensors. For surface environmental information, it specifically includes at least an anemometer for detecting wind direction and speed, a barometer for detecting atmospheric pressure, a temperature and humidity sensor for detecting air temperature and humidity, and a PM2.5 detector for detecting air quality. For underwater environmental information, it specifically includes at least a temperature sensor for detecting water temperature, a depth sensor for detecting water depth, a dissolved oxygen sensor for detecting underwater oxygen content, a side-scan sonar for detecting underwater topography, and a water quality analyzer for detecting water quality. The temperature sensor can be a self-contained temperature sensor, model Mono T Recorder, from Hangzhou Qianhai Technology Co., Ltd. By setting up multiple different sensors, environmental data can be accurately collected, preparing for subsequent correlation analysis.

[0089] In some embodiments of the present invention, the fish-finding device 141 is equipped with a sonar detection device to detect the location of a school of fish. Preferably, the sonar detection device can be a professional fish finder, such as a multi-beam fish finder, which has a wide coverage area and a large detection depth. Preferably, it can also be combined with acoustic detection, such as using a hydrophone array that can listen to the sounds emitted by fish. The hydrophone array can listen to information such as the mating calls of totoaba and the low-frequency vibrations of tuna swimming, so as to discover the school of fish and locate it quickly. The information acquisition component 14 also includes a fish identification device 142, which is configured to record the biological information of the school of fish, including the size of the school, the size of the individual fish, and the species of fish. To achieve the above data acquisition, the fish identification device 142 can include a multi-beam sonar, which can generate a three-dimensional distribution map of the school of fish in real time and calculate the size and density of the school. The fish identification device 142 can also include an underwater camera installed on the intelligent fish-finding vehicle 1. The underwater camera is equipped with a laser scale for calibrating individual dimensions and uses low-light enhancement equipment, making it suitable for underwater environments. Preferably, the fish identification device 142 also includes a binocular camera. Combined with the algorithms of the cloud server 2, the binocular camera can analyze the swimming trajectory and speed of the fish school.

[0090] In some embodiments of the present invention, the environmental perception device 143 includes a radar detection device mounted on the intelligent fish-finding vehicle 1. The radar detection device is configured to monitor obstacles on or in the water surface in real time to assist in adaptive path planning and avoid obstacles on or in the water surface. Preferably, the radar detection device can adopt a lidar detection scheme, and the radar detection device is configured to cooperate with the dynamic obstacle avoidance algorithm of the cloud server 2 to achieve adaptive path planning and navigation. Preferably, the fish-finding device 141 includes a sonar detection device mounted on the intelligent fish-finding vehicle 1. The sonar detection is unaffected by light and visibility, enabling remote and accurate detection.

[0091] In some embodiments of the present invention, the communication module 15 includes a BeiDou satellite communication module and / or a 4 / 5G communication module. Preferably, both a BeiDou satellite communication module and a 4 / 5G communication module are configured, and the communication module 15 is configured to automatically switch between the two different communication modes according to the network signal strength. By employing two different communication methods, it can adapt to different working environments or harsh environmental changes, making fish-finding operations more reliable.

[0092] like Figure 5The diagram shown is a logical principle diagram of a mobile intelligent fish-finding system according to the present invention. The cloud server 2 is configured to receive and process data transmitted by the communication module 15, including environmental information data and fish school information data. The cloud server 2 integrates at least a data analysis module 21 and a fish school heat map generation module 22. The data analysis module 21 includes an environmental analysis module 211 and a fish school analysis module 212, and is configured to receive and process the information sent by the communication module 15. The heat map generation module 22 is configured to generate a fish school distribution heat map based on the analysis data of the data analysis module 21. The heatmap generation module 22 maps fish density data into a color gradient heatmap, such as red for high density and blue for low density. The specific generation process is as follows: the location information of the fish school, including longitude, latitude, and water depth, is converted into a two-dimensional plane coordinate system and overlaid on the GIS geographic information system base map; the two-dimensional plane coordinates of the fish school are interpolated onto the GIS geographic information system base map; the fish school density at each geographic location on the GIS geographic information system base map is estimated using spatial interpolation; based on the above fish school density estimation results, a heat value representing the fish school density is assigned to each geographic module; the fish school density is calculated based on the data collected by the fish identification device 142; and the color gradient is divided according to the density value. For example: low density → blue, medium density → green, high density → red; and transparency is set to distinguish overlapping areas. The spatial interpolation method includes the inverse distance weighting method or the kriging method. Preferably, environmental parameters, including water temperature, dissolved oxygen, and timestamps, can also be labeled on the heatmap to form a spatiotemporal multidimensional visualization interface.

[0093] Preferably, in some embodiments of the present invention, the cloud server 2 further includes a blockchain storage module 23. The blockchain storage module 23 is configured to store the fish distribution heatmap generated by the heatmap generation module 22 in the form of a blockchain, enabling a decentralized and feasible storage mechanism for the fish distribution information. This ensures that the fish distribution heatmap is traceable and tamper-proof, providing people with more reliable information on fish distribution. The specific design is as follows: When the cloud server 2 generates a new fish distribution heatmap, it first stores the original heatmap data in IPFS and calculates its SHA-256 hash value. Subsequently, it calls the chaincode service of the Hyperledger Fabric blockchain node through the API gateway, triggering a smart contract to write the hash value, IPFS storage address, and related metadata, such as timestamps and generating device IDs, into a new block. The blockchain network adopts a consortium blockchain architecture, with multiple participating organizations authenticating their identities using X.509 certificates issued by Fabric CA, and controlling data access permissions based on channel policies: the organization to which the cloud server 2 belongs has data writing permissions, while user terminals 3 can only query public data. Sensitive data is isolated through private channels to ensure privacy. When a user verifies data, the system retrieves the original file from IPFS and recalculates the hash value, comparing it with the on-chain record to confirm integrity. Preferably, it also includes a user terminal 3, configured to retrieve a fish distribution heatmap from the blockchain storage module 23. Preferably, the fish distribution heatmap not only displays fish information but also incorporates relevant data collected by the information collection module 14, such as environmental parameters at fixed locations (weather, wave height, wind direction, humidity, etc.) and underwater parameters (depth, underwater topography, oxygen content, etc.), providing necessary reference for users preparing for fishing trips.

[0094] In some embodiments of the present invention, the data analysis module 21 further includes an AI prediction module 213. The AI ​​prediction module 213 is configured to associate an environmental analysis module 211 and a fish school analysis module 212. Based on fish school distribution data, environmental parameters, and meteorological data, it trains an AI data model through machine learning algorithms to obtain a predicted future fish school distribution heatmap. This can provide users with more accurate information on fish school distribution and better serve fishing users. The core process is as follows: 1. Input environmental data and fish school data. Environmental data may include historical and real-time water temperature, dissolved oxygen, flow rate, and meteorological data, such as rainfall and wind speed. Fish school data may include fish school size, fish school density, species, and body length distribution. 2. Construct relevant features, such as the time series features of environmental data and the spatial correlation features of fish schools. 3. Model design: A ConvLSTM network is used. The LSTM layer processes the environmental time series, the CNN layer extracts the spatial features of fish schools, and multimodal data is fused through an attention mechanism to output a predicted value of future fish school density, such as the fish school situation 2 hours later. After being overlaid onto a GIS base map, a predicted fish school distribution heatmap is obtained.

[0095] In the mobile intelligent fish-finding system of the present invention, the intelligent fish-finding vehicle 1 is equipped with a Beidou satellite positioning and navigation module and a multimodal sensor to achieve automatic cruising and adaptive path planning, and to accurately collect fish and environmental data; the cloud server 2 generates a fish distribution heat map through data analysis, and combines blockchain storage to ensure data credibility; based on the fish distribution heat map, real-time, accurate and effective big data support can be provided for fishing, realizing smart fishing.

[0096] like Figure 8As shown, the present invention provides a fishing system for recreational fishing, which includes the aforementioned motorized intelligent fish-finding system, as well as a fishing water area 6, a motorized platform 621, a fixed fishing spot 61, and a movable fishing spot 62. The fishing water area 6 can be located in an open or enclosed body of water. The motorized platform 621 is configured to support the user's activities in the fishing water area 6 and provide fishing functions. Preferably, the user can move on the water surface and fish using the motorized platform 621. The user can also remotely control the motorized platform 621 from the shore to move and fish. In this case, the remotely controlled motorized platform 621 will be equipped with a fishing device, such as a net trap, or a robotic arm in conjunction with a fishing rod. Fixed fishing spots 61 are set on the bank or fixed structures in the fishing area 6, and their position relative to the fishing area 6 is fixed. Movable fishing spots 62 are set on a mobile platform 621 that can move within the fishing area 6, and their position relative to the fishing area 6 is movable. The intelligent fish-finding drone 1 is configured to collect environmental and fish information data within the fishing area 6 via an information collection component 14, and send the collected data to a cloud server 2 via a communication module 15 to generate a fish distribution heat map. The generated fish distribution heat map serves as the basis for classifying the difficulty of fishing at different locations. This fishing system allows users to choose between fixed or movable fishing spots by setting different fishing positions, each with varying difficulty, thus increasing the entertainment and challenge of fishing. Preferably, the fishing system also includes a floating island 63 located in the center of the fishing area 6. The floating island 63 has a breeding and rearing space 631 for stocking fish, ensuring sufficient fish populations and fish species in the area, maintaining the ecological carrying capacity and long-term stability of fishing profits within the fishing area 6. Preferably, one floating island 63 or multiple floating islands spaced apart can be used to raise different fish species. Correspondingly, fixed fishing spots 61 can also be set on the floating island 63. Overfishing in the fishing area 6 will inevitably reduce the number of fish. The breeding and rearing space 631 on the floating island 63 allows for the stocking of various fish fry as needed. When fish need to be replenished, the fish in the breeding and rearing space 631 can be directly released into the fishing area 6. Preferably, as... Figure 8 As shown, a net trap device 6311 is provided on the bottom side of the middle part of the floating island 63. The net trap device 6311 can be used for remote visual fishing through the user terminal 3, which further enriches the fishing methods and improves the experience of remote fishing.

[0097] In some embodiments of the present invention, the fixed fishing positions 61 are arranged at the edges of the fishing water area 6 and the edges of the floating island 63. When the fishing water area 6 is an enclosed water area, the fixed fishing positions 61 are arranged at the edge of the fishing water area 6, that is, the shore, and a plurality of fixed fishing positions 61 can be arranged at intervals along the circumferential direction of the shore; when the fishing water area 6 is located in an open water area, the fixed fishing positions 61 are arranged circumferentially in this water area, and a plurality of fixed fishing positions 61 jointly define the fishing water area 6.

[0098] As Figure 10 shown, a solar photovoltaic panel 632 is provided on the floating island 63, which is used to supply power to the breeding equipment supporting the breeding and nurturing space 631, and can also provide power support for users fishing on the floating island 3. Preferably, as Figure 10 shown, the breeding and nurturing space 631 adopts a cage aquaculture method.

[0099] As Figure 9As shown, the present invention provides a fishing management system that employs the aforementioned intelligent fish-finding system, and further includes a fish-finding control module 71, a data interaction module 72, and a user management module 73. The fish-finding control module 71 is configured to communicate with the intelligent fish-finding vehicle 1 to control its cruise in the corresponding waters; the data interaction module 72 is configured to communicate with the cloud server 2 to obtain and retrieve fish distribution heatmaps and / or environmental information data; the user management module 73 is configured to verify user identity and grant corresponding permissions to verified users; the blockchain evidence storage module 76 is configured to perform hash calculations on records of electronic voucher verification, generate unique hash values, bind them to spatiotemporal coordinates, associate them with the hash values ​​of the previous block, and write them to the blockchain node for storage. The blockchain evidence storage module 76 is also configured to collect fish distribution heatmaps and fishing spot usage records, bind the data to spatiotemporal coordinates to generate hash values, and write them to the blockchain; ensuring that the data cannot be modified. It also includes an ecological monitoring module 75, which is configured to collect at least one of the following indicators through the intelligent fish-finding vehicle 1: basic survival indicators, nutrient and organic matter indicators, biological toxicity indicators, and ecological integrity indicators; when the data indicators exceed the ecological and environmental protection limits, it sends an early warning command to the management system and triggers an adjustment strategy. The following examples illustrate that the management system of this invention can be deployed in common ecological fish farms, such as an ecological fish farm with a water area of ​​12 hectares and a water depth of 5-10 meters. It is equipped with the following hardware: 1. A mobile platform capable of navigating on the water surface, communicating via 5G, and automatically or manually controlling its movement to specific coordinates using a cloud-based fish distribution heatmap. The management system uniformly registers the ID of this mobile platform; 2. Conventional hand-held fishing tackle, which can be divided into standard kits and kits from well-known brands; 3. A customized visual net trap fishing kit, equipped with detection equipment, fish attractants and lighting, as well as bionic bait and a relative net trap lifting and lowering fish attractant kit; 4. A customized visual fishing live streaming platform; 5. Multiple different fixed fishing spots on the shore, fixed fishing spots on the water, and mobile fishing spots set on the mobile platform; 6. The intelligent fish-finding navigation device 1 of this invention. The configuration of various operating devices enriches the fishing experience.

[0100] The management system of this invention is equipped with an ecological monitoring module 75, which can monitor various indicators in real time through an intelligent fish-finding vehicle 1 or other monitoring equipment. Specifically, the intelligent fish-finding vehicle 1, equipped with a multi-parameter water quality sensor, cruises along a preset path and transmits relevant data back to the management system at intervals, such as every 20 minutes, via a 5G communication module. When the data is lower than the ecological and environmental protection threshold, the ecological monitoring module 75 immediately triggers an early warning protocol. The various indicators are described in detail below: ① Basic generation indicators, specifically involving dissolved oxygen content, with a corresponding ecological and environmental protection limit of ≥6.5mg / L and a daily fluctuation of ≤10%; pH value, with a corresponding ecological and environmental protection limit of 7.0~8.0; water temperature, with a corresponding ecological and environmental protection limit of species-suitable temperature ±2℃, etc. The monitoring equipment used for this indicator can be a multi-parameter buoy station, such as the Hach Hydrolab DS5X, which supports real-time satellite transmission. ② Nutrient and organic matter indicators, specifically involving total phosphorus (TP), with corresponding environmental protection limits of ≤0.02 mg / L; total nitrogen (TN), with corresponding environmental protection limits of ≤0.5 mg / L; ammonia nitrogen (NH3-N), with corresponding environmental protection limits of ≤0.05 mg / L, etc. The monitoring equipment for these indicators can be an online ultraviolet digestion spectrophotometer, such as the LJ-SYZ7 extension module. Preferably, this indicator also involves chlorophyll a, with a corresponding environmental protection limit of ≤3 μg / L, and the monitoring equipment is a fluorescence sensor, such as the Turner Cyclops-7F. ③ Biotoxicity indicators, specifically involving triazine pesticide residues, with corresponding environmental protection limits of ≤0.1 μg / L, and the monitoring scheme is monthly GC-MS detection; microcystin, with corresponding environmental protection limits of ≤0.1 μg / L, and the monitoring scheme is ELISA rapid detection kit; methylmercury, with corresponding environmental protection limits of Σ16 items ≤0.01 μg / L, and the monitoring scheme is annual fish tissue analysis using cold atomic absorption spectrometry. ④ Ecological integrity indicators, specifically involving the benthic animal BI index, with a corresponding ecological and environmental protection value of ≥8. The monitoring scheme involves quarterly underwater sampling and Shannon microbial diversity, with a corresponding ecological and environmental protection value of ≥3.5. Preferably, the indicator data can be stored using blockchain technology. In actual operation, if the dissolved oxygen index in ① the basic generation indicators is abnormal, the ecological monitoring module 75 immediately initiates a response. Preferably, it plans the path of the intelligent fish-finding drone 1 to avoid the polluted area and pushes a "start oxygenation equipment" command to the system administrator, etc. A high-standard water quality monitoring indicator system is adopted, fully covering the national standard GB 11607-89 and integrating the requirements of WHO drinking water source protection, the EU Water Framework Directive WFD, and China's ecological red line areas, achieving the dual goals of "zero external pollution + ecological value-added," ensuring the stability of the fishery environment, and facilitating long-term high-quality operation.

[0101] In the management system of the present invention, the user management module 73 includes a random permission allocation module 731, configured to generate electronic credentials with hierarchical permissions based on a preset correspondence between operation duration parameters and permission levels. The electronic credentials contain at least one basic operation permission and may selectively contain extended operation permissions. Responding to the permission activation command from the user terminal, the module calculates the allocation probability of extended operation permissions using a step-by-step algorithm, which iteratively adjusts the calculation weights based on historical user interaction data. When the allocation conditions for extended operation permissions are met, a specific operation permission is selected from a preset set of extended operation permissions for allocation. The user interface dynamically displays: a list of basic operation permissions corresponding to the current electronic credentials, the allocation probability value of extended operation permissions corresponding to the current electronic credentials, and a set of allocable extended operation permissions. In practice, electronic vouchers can be set up as consumption vouchers, divided into three different levels: basic, intermediate, and advanced. Each level of consumption voucher includes at least one basic operation permission and possibly one hidden extended operation permission. Operation permissions refer to the operation permissions of the hardware devices equipped in this management system mentioned above. Extended operation permissions need to be activated by the user's permission activation command. After activation, specific operation permissions are allocated through a tiered algorithm. In practice, a set of extended operation permissions is preset, and the operation permissions within this set are designed according to the value of the device; for example, the lowest is no operation permission, and the highest can be a mobile platform operation permission. The specific permissions of the extended operation permissions are determined by the user's permission activation command. In practice, the permission activation command can be set as a lottery command, and the presence or absence of specific extended operation permissions is determined by the lottery probability, with a permission allocation probability value set. The specific probability value of permission allocation is determined by the permission allocation probability module 7311 set in the random permission allocation module 731. The permission allocation probability module 7311 is configured to iteratively adjust the probability of extended operation permissions based on the user's historical interaction data. Historical interaction data includes, but is not limited to, the number of times the user requests permission activation commands, the user's cross-platform data distribution operation records, and the number of times the user obtains different levels of electronic vouchers. In actual operation, the extended operation permissions are set with a tiered winning probability. This includes the number of consecutive user permission activation command requests (e.g., multiple lottery draws), cross-platform data distribution operation records (e.g., cross-platform sharing operations), and the number of times the user obtains different levels of electronic vouchers (e.g., multiple purchases of different electronic vouchers). Preferably, the user interaction data also includes inviting new users to gradually unlock higher-level extended operation permissions with higher probabilities.The following example illustrates that when a user purchases a basic coupon for the first time, it will definitely include the corresponding basic operation permissions. The probability of allocating extended operation permissions is 10%, meaning the initial winning rate for extended operation permissions is 10%. This translates to a 90% probability of drawing no operation permissions and a 10% probability of drawing specific device operation permissions. The probability can be increased subsequently through the following methods: 3 consecutive draws: the probability of allocating extended operation permissions increases to 20%; 1 share: the probability increases to 30%; 1 repurchase: the probability increases to 40%. Preferably, a user needs to purchase a basic coupon and win at least one extended operation permission prize before purchasing an intermediate coupon. When a user purchases an intermediate coupon for the first time, it will definitely include the corresponding basic operation permissions. The initial probability of allocating extended operation permissions is 15%, which can be increased subsequently through the following methods: 5 consecutive draws: the probability increases to 25%; 2 invitations: the probability increases to 35%; 1 repurchase: the probability increases to 45%. Preferably, a user needs to purchase an intermediate coupon and win at least one extended operation permission prize before purchasing a premium coupon. When a user purchases a premium voucher for the first time, they are guaranteed to have corresponding basic operational permissions. The initial probability of being granted extended operational permissions is 20%, and this probability is increased subsequently through the following methods: 10 consecutive draws: probability increases to 30%; inviting 3 people to participate: probability increases to 40%; 1 repeat purchase: probability increases to 50%. Preferably, this allocation record can be stored in the form of blockchain. For example, in actual operation, the basic electronic voucher, i.e., the basic voucher, can be set with the basic operational permission of 0.5 hours of free remote control experience with the phishing kit via a WeChat mini-program. To meet the needs of first-time anglers, the basic e-voucher (or intermediate voucher) grants 0.5 hours of remote control experience with a net trap kit via a WeChat mini-program. The intermediate voucher grants basic access to free tackle rental, fish distribution heatmap location, and general shore fishing spots. Extended access, upon meeting certain conditions, includes free professional tackle rental, a premium shore fishing spot, or a regular floating island fishing spot. The advanced voucher grants basic access to a premium floating island fishing spot, free tackle rental, and a visual net trap kit. Extended access, upon meeting certain conditions, includes heatmap location or live fishing streaming. By implementing tiered e-vouchers, different levels correspond to different device access permissions. Based on users' historical spending records, the probability of granting extended access is increased, further enhancing user engagement. This helps maintain user enthusiasm, increase user stickiness and spending frequency, and allows the management system to control the proportion of different e-voucher levels, adapting to different consumer demographics in different fishing grounds.

[0102] In the management system of this invention, the user management module 73 further includes an electronic voucher verification module 732, configured to parse the electronic voucher level and corresponding preset operation duration parameters, and grant device operation permissions with corresponding validity periods, corresponding fish distribution heatmap data accuracy levels, and different fishing spot usage permissions according to the authorization policy. In actual operation, after purchasing an electronic voucher of the corresponding level, the user can verify it by scanning a code. The management system of this invention will grant the corresponding fish distribution heatmap data accuracy level, fishing spot reservation permissions, and related device operation permissions according to the electronic voucher level, the basic operation permissions attached to the electronic voucher, and any possible extended operation permissions. These permissions are time-sensitive, and the usage time is determined by the electronic voucher level. Preferably, when the user scans the code for verification, the user ID, electronic voucher type, and verification timestamp can be stored on the blockchain. Preferably, in the management system of the present invention, the user management module 73 further includes a reservation control module 733, configured to allocate the types and time periods of reservable fishing spots according to the electronic voucher level; generate a visual reservation interface on the user terminal 3, displaying recommended fishing spots and available time periods in real time based on a fish distribution heatmap; and respond to reservation instructions by calling the blockchain evidence storage module 76 to bind the reservation record with spatiotemporal coordinates and write it to the blockchain node. Using a reservation method helps enhance user stickiness and facilitates inventory and resource allocation planning.

[0103] The following explanation describes how, in the user interface, when a user first obtains a Fishing Fun e-voucher, the Fishing Fun Management System displays in real-time the mandatory basic operation permissions and possible extended operation permissions for various levels of Fishing Fun e-vouchers, as well as the set of optional mandatory basic operation permissions and possible extended operation permissions initially obtained by the user, and the probability of allocation of extended operation permissions. When obtaining Fishing Fun e-vouchers multiple times, the random permission allocation module 731 will push e-vouchers with higher-level mandatory basic operation permissions and higher probability of allocation of extended operation permissions to the user based on the user's historical interaction data. When a user comes to the fishing ground to redeem Fishing Fun consumption services, the user scans the QR code of the designated Fishing Fun e-voucher at the fishing ground user interface management terminal of the Fishing Fun Management System. The Fishing Fun APP user interface on the user's mobile terminal will automatically display the distribution of fishing spots and environmental view of the agreed fishing ground, showing the specific fishing spots, fishing gear, and auxiliary methods that the user can redeem based on the e-voucher, including potential fish distribution heatmaps, visual net trap fishing kits, live fishing permissions, and mobile platform fishing permissions. The fish farm administrator will redeem the vouchers scanned by each user, ensuring that the user has basic operating permissions and / or certain extended operating permissions, and will implement time-limited consumption control.

[0104] This invention provides a fishing management system that effectively and scientifically solves the supply and demand matching problem, strengthens resource management, and dynamically divides fishing grounds based on fish distribution heatmap data. Through the user management module 73, a time-segmented access strategy is implemented, which can avoid overfishing leading to fish dispersion, keep the fish density in a single area at the optimal state, and improve the fishing success rate while achieving time-segmented management.

[0105] Furthermore, by using user verification methods and combining data from fish population heatmaps, basic services and value-added services can be scientifically divided, which can open up new channels for incremental revenue.

[0106] This invention discloses a fishing management system, which also includes a fishing process sharing module 74. This module 74 is configured to collect data related to the fishing process, generate visualized information, and share it with verified users. For example, the fishing process sharing module 74 may include a live streaming module, allowing users to share their fishing process and data live through the module. The module 74 can also be integrated with competitions, visually displaying various fishing data from competitors, lowering the viewing threshold, expanding the audience, facilitating the construction of a fishing community, improving user experience, and enhancing commercial scalability.

[0107] This invention discloses a fishing method for enjoyment, employing the aforementioned motorized intelligent fish-finding system, comprising the following steps:

[0108] S1. Deploy the intelligent fish-finding vehicle 1 to cruise in the corresponding water area; preferably, the intelligent fish-finding vehicle 1 cruises in the corresponding water area according to a gridded or set navigation path, such as a star-shaped route, or other preset routes of various shapes.

[0109] S2. During cruise, the intelligent fish-finding vehicle 1 collects surface meteorological data, underwater environmental data, fish school location information, and fish biological characteristic data through the information collection component 14, and sends the environmental information data and fish school information data collected by the information collection component 14 to the cloud server 2 through the communication module 15; furthermore, the intelligent fish-finding vehicle 1 sends the collected data to the cloud server 2 periodically or irregularly through the communication module 15; among them, the environmental information data includes one or more of water temperature, water depth, dissolved oxygen concentration, and current velocity; the fish school information data includes one or more of fish school number, fish size, and fish species;

[0110] S3. Cloud server 2 processes and analyzes the received environmental information data and fish school information data, and generates a fish school distribution heatmap based on the received environmental information data and fish school information data. Preferably, cloud server 2 can also generate a predictive fish school distribution heatmap based on historical environmental information data and fish school information data through machine learning algorithms, which can help users improve their fishing success rate. Preferably, cloud server 2 updates the generated fish school distribution heatmap periodically or irregularly for users to access. Preferably, the fish school distribution heatmap is stored in the blockchain storage module 23 on cloud server 2 to ensure the immutability of its data.

[0111] S4. Select a fishing location based on the spatiotemporal characteristics indicated by the fish distribution heatmap and the prediction results of the fish distribution heatmap. Preferably, the user can combine the machine learning function of the AI ​​prediction module 213 on the cloud server 2 to allow the cloud server 2 to generate a predictive fish distribution heatmap, and then select a fishing location.

[0112] like Figure 6 , 7 As shown, the mobile intelligent fish-finding system, fishing system, management system, and fishing method provided by this invention can also be combined with a net-trap fishing device. The net-trap fishing device differs from ordinary rod fishing; it is a device that uses a net trap 42 for fishing. For example... Figure 6 As shown, the net trap fishing device includes a floating platform 4 that moves on the water surface, with a boom on the platform 4 to suspend the net trap 42. Further, after acquiring a fish distribution heat map generated by the cloud server 2, the net trap fishing device, driven by the propulsion component 12, can reach the designated fishing spot 62 and activate the net trap 42 to catch fish. The specific operation method of the net trap fishing device is as follows: First, the winch component on the net trap fishing device controls the net trap 42 to descend and sink into the water relative to the floating platform 4, opening the entrance to the confinement space on the net trap 42. Next, the angler, according to the appropriate configuration, manually scatters bait into the confinement space on the net trap 42, or uses a fish-attracting component to lure fish into the confinement space of the net trap 42. Finally, when the number of fish in the confinement space is suitable, the entrance to the confinement space is closed, the winch component is activated, and the net trap 42 is pulled to the surface, allowing the angler to net the fish. Combining this invention with the net trap fishing device significantly improves fishing efficiency and intelligence.

[0113] This fishing method can be commercialized by covering 200 acres of fishponds with several intelligent fish-finding drones; data is updated regularly or irregularly. For example, every hour, the intelligent fish-finding drones can patrol in a grid pattern and collect data to generate a new fish distribution heat map. In addition to recording fish information, the generated heat map can also record environmental information, such as weather, water depth, and wind direction at suggested fishing spots. This information can also be categorized, and users can pay to unlock specific information based on their demand, thus increasing the challenge and fun.

[0114] In addition, the data collection frequency of the intelligent fish-finding drone 1 during its gridded patrol can be categorized. For example, based on the grid density of the intelligent fish-finding drone 1's patrol, different levels of detail in fish distribution heatmaps can be obtained, and different levels of detail in the fish distribution heatmaps can be matched with different services. On the user terminal 3, the user can purchase a limited-time corresponding service, and the cloud server 2 will assign high-probability coordinate suggestions for fishing spots according to the service type, or directly send the fish distribution heatmap to the user. After receiving the relevant suggestions, the user can start preparing to fish based on the coordinate information.

Claims

1. A mobile intelligent fish-finding system, characterized in that... It includes an intelligent fish-finding drone (1) and a cloud server (2); The intelligent fish-finding vehicle (1) can travel on water. The intelligent fish-finding vehicle (1) is equipped with a main control module (11) for controlling the intelligent fish-finding vehicle (1), as well as a propulsion component (12), a positioning and navigation control module (13), an information acquisition component (14), and a communication module (15) all electrically connected to the main control module (11). The propulsion assembly (12) is configured to drive the intelligent fish-finding vehicle (1) to travel on the water surface or in the water; The positioning and navigation control module (13) is configured to enable the intelligent fish-finding vehicle (1) to travel in the corresponding water area according to a preset path; The information acquisition component (14) is configured to at least detect the presence of fish and record the location information of the fish. The communication module (15) is configured to send the information collected by the information collection component (14) to the cloud server (2) to generate a fish distribution heat map; The cloud server (2) is configured to receive and process the data transmitted by the communication module (15), and integrates at least a data analysis module (21) and a fish heat map generation module (22); The data analysis module (21) includes an environmental analysis module (211) and a fish school analysis module (212). The data analysis module (21) is configured to process and analyze the information sent by the communication module (15) received by the cloud server (2). The heat map generation module (22) is configured to generate a fish distribution heat map based on the analysis data of the data analysis module (21).

2. The mobile intelligent fish-finding system as described in claim 1, characterized in that... The cloud server (2) also includes a blockchain storage module (23), which is configured to: perform hash calculation on the fish distribution heat map generated by the heat map generation module (22), generate a unique hash value, bind the hash value with the spatiotemporal coordinates and associate it with the hash value of the previous block, and write it into the blockchain node for storage.

3. The mobile intelligent fish-finding system as described in claim 1, characterized in that... The intelligent fish-finding vehicle (1) is also connected to a fish-attracting component (16), which is electrically connected to the main control module (11). The fish-attracting component (16) is configured to attract fish by releasing bait.

4. The mobile intelligent fish-finding system as described in claim 1, characterized in that... The positioning and navigation control module (13) is a Beidou satellite positioning and navigation module, and the intelligent fish-finding vehicle (1) is configured to realize path planning and complete automatic navigation through the Beidou satellite positioning and navigation module.

5. The mobile intelligent fish-finding system as described in claim 1, characterized in that... The information acquisition component (14) includes an environmental sensing device (143) and a fish-finding device (141) installed on the intelligent fish-finding vehicle (1); the environmental sensing device (143) is configured to collect environmental information of the intelligent fish-finding vehicle (1); the fish-finding device (141) is configured to detect and find fish schools.

6. The mobile intelligent fish-finding system as described in claim 5, characterized in that... The information acquisition component (14) also includes a fish identification device (142) configured to record the biological information of the fish population.

7. A mobile intelligent fish-finding system as described in claim 5, characterized in that... The environmental sensing device (143) includes a radar detection device installed on the intelligent fish-finding vehicle (1). The radar detection device is configured to monitor obstacles on the water surface or in the water in real time to assist in adaptive path planning and obstacle avoidance.

8. A mobile intelligent fish-finding system as described in claim 5, characterized in that... The fish-finding device (141) includes a sonar detection device mounted on the intelligent fish-finding vehicle (1); and / or the fish identification device (142) includes an underwater camera mounted on the intelligent fish-finding vehicle (1).

9. A mobile intelligent fish-finding system as described in claim 1 or 2, characterized in that... It also includes a user terminal (3), which is used to access and display the fish distribution heat map generated by the cloud server (2).

10. A mobile intelligent fish-finding system as described in claim 1, characterized in that... The data analysis module (21) further includes an AI prediction module (213), which is configured to: associate the environmental analysis module (211) and the fish school analysis module (212), and generate a predictive fish school distribution heat map by training an AI data model through machine learning algorithms based on fish school distribution data, environmental parameters and meteorological data.

11. A fishing system for recreational fishing, characterized in that... The system includes the mobile intelligent fish-finding system as described in any one of claims 1-10, and further includes: Fishing area (6); A mobile platform (621) configured to carry users in fishing waters (6) and provide fishing functions; Fixed fishing spots (61) are set on the bank of the fishing area (6) or on a fixed structure on the water surface; The mobile fishing spot (62) is set on the mobile platform (621) that moves within the fishing water area (6); The intelligent fish-finding drone (1) is configured to collect environmental information data and fish information data in the fishing water area (6) through the information collection component (14), and send the environmental information data and fish information data collected by the information collection component (14) to the cloud server (2) through the communication module (15) to generate a fish distribution heat map.

12. The fishing system as described in claim 11, characterized in that... It also includes floating islands (63) set in the fishing water area (6), with artificial breeding space (631) for stock enhancement and release provided at the bottom and / or sides of the floating islands (63).

13. A fishing system for recreational fishing as described in claim 12, characterized in that... The fixed fishing spot (61) is located at the edge of the fishing water area (6) and the edge of the platform of the floating island (63).

14. A fishing and leisure fishing management system, characterized in that... The system includes the mobile intelligent fish-finding system as described in any one of claims 1-10, and further includes: Fish-finding control module (71) is configured to communicate with the intelligent fish-finding vehicle (1) to control its cruise in the corresponding waters; The data interaction module (72) is configured to communicate with the cloud server (2) to obtain and call fish distribution heat map and / or environmental information data; The user management module (73) is configured to verify user identity and match corresponding permissions to verified users; The blockchain evidence storage module (76) is configured to perform hash calculations on the records used for electronic voucher verification, generate a unique hash value, bind it to the spatiotemporal coordinates, associate it with the hash value of the previous block, and write it to the blockchain node for storage.

15. The fishing management system as described in claim 14, characterized in that... The information collection component (14) also includes a water quality detection device for collecting water quality monitoring data. The blockchain evidence storage module (76) is also configured to perform hash calculation on the water quality monitoring data and / or the catch data, generate a unique hash value, bind it with the spatiotemporal coordinates and associate it with the hash value of the previous block, and write it into the blockchain node for storage.

16. The fishing management system as described in claim 14, characterized in that... Also includes: The fishing process sharing module (74) is configured to collect data related to the fishing process, generate visual information, and allow verified users to share it.

17. A fishing management system as described in claim 14, characterized in that... The user management module (73) includes a random permission allocation module (731), configured to: generate an electronic certificate with hierarchical permissions based on a preset correspondence between operation duration parameters and permission levels, wherein the electronic certificate contains at least one basic operation permission and may selectively contain extended operation permissions; respond to the permission activation command of the user terminal, calculate the probability of allocating extended operation permissions through a step-by-step algorithm, wherein the step-by-step algorithm iteratively adjusts the calculation weight based on the user's historical interaction data; when the allocation conditions for extended operation permissions are met, select a specific operation permission from a preset set of extended operation permissions for allocation; The user interface dynamically displays: the list of basic operation permissions corresponding to the current electronic voucher, the probability value of the allocation of extended operation permissions corresponding to the current electronic voucher, and the set of available extended operation permissions.

18. A fishing management system as described in claim 17, characterized in that... The random permission allocation module (731) includes a permission allocation probability module (7311), which is configured to iteratively adjust the permission allocation probability of extended operation permissions based on the user's historical interaction data. The historical interaction data includes, but is not limited to, the number of times the user requests permission activation instructions, the user's cross-platform data distribution operation records, and the number of times the user obtains electronic credentials of different levels.

19. A fishing management system as described in claim 14, characterized in that... The user management module (73) includes an electronic voucher verification module (732), configured to: parse the electronic voucher level and corresponding preset operation duration parameters, and grant device operation permissions with corresponding validity periods, corresponding fish distribution heat map data accuracy levels, and different fishing spot usage permissions according to the authorization policy.

20. A fishing management system as described in claim 14, characterized in that... The user management module (73) also includes a reservation control module (733), which is configured to allocate the types and time ranges of reservable fishing spots according to the level of electronic vouchers; generate a visual reservation interface on the user terminal (3) to display recommended fishing spots and available time periods based on the fish distribution heat map in real time; and respond to the reservation instruction by calling the blockchain storage module (76) to bind the reservation record with the spatiotemporal coordinates and write it into the blockchain node.

21. A fishing management system as described in claim 14, characterized in that... It also includes an ecological monitoring module (75), configured to collect at least one of the following indicators through monitoring equipment: basic survival indicators, nutrient and organic matter indicators, biological toxicity indicators and ecological integrity indicators; when the data indicators exceed the ecological and environmental protection limits, it sends an early warning instruction to the management system and triggers an adjustment strategy.

22. The fishing management system as described in claim 14, characterized in that... The blockchain evidence storage module (76) is also configured to perform hash calculations on the collected fish distribution heat map and fishing spot usage records, generate a unique hash value, bind the hash value with the spatiotemporal coordinates and associate it with the hash value of the previous block, and write it into the blockchain node for storage.

23. A fishing method for recreational fishing, characterized in that... The mobile intelligent fish-finding system as described in any one of claims 1-10 includes the following steps: S1. Deploy intelligent fish-finding vehicles (1) to patrol the corresponding waters; S2. When the intelligent fish-finding vehicle (1) is cruising in the corresponding water area, it collects the corresponding water area environmental information data and fish school information data through the information collection component (14), and sends the corresponding water area environmental information data and fish school information data collected by the information collection component (14) to the cloud server (2) through the communication module (15). S3. The cloud server (2) processes and analyzes the received corresponding aquatic environment information data and fish information data, and generates the address code of the corresponding aquatic area and the associated fish distribution heat map; S4. Select fishing locations based on the spatiotemporal characteristics of the corresponding water areas indicated by the fish distribution heatmap.

24. The fishing method for recreational fishing as described in claim 23, characterized in that... Step S3 is followed by: S3-1. The fish distribution heat map generated in step S3 is stored in the blockchain storage module (23) to ensure the immutability of its data.

25. The fishing method for recreational fishing as described in claim 23, characterized in that... In step S3, based on the received environmental information data and fish information data of the corresponding water area, the migration direction of the fish school is predicted by machine learning algorithm, and a predictive fish school distribution heat map is generated; in step S4, fishing locations are selected based on the spatiotemporal characteristics of the fish school distribution heat map and the prediction results of the predictive fish school distribution heat map.

26. The fishing method for enjoyment as described in claim 23, characterized in that... In step S3, based on the received environmental information data and fish information data of the corresponding water area, the distribution of fish in another water area with similar terrain and environmental parameters is predicted by machine learning algorithm, and a predictive fish distribution heat map is generated; in step S4, fishing locations are selected based on the spatiotemporal characteristics of the fish distribution heat map and the prediction results of the predictive fish distribution heat map.

27. The fishing method for recreational fishing as described in claim 23, characterized in that... In step S2, the intelligent fish-finding drone (1) sends the collected data to the cloud server (2) periodically or irregularly through the communication module (15); in step S3, the cloud server (2) updates and generates a fish distribution heat map periodically or irregularly so that users can access it according to their permissions.

28. The fishing method for recreational fishing as described in claim 23, characterized in that... The environmental information data includes one or more of the following: water temperature, water depth, dissolved oxygen concentration, and flow rate; the fish information data includes one or more of the following: fish population, fish size, and fish species.

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