Fishing management system and fishing method based on Internet of Things

Abstract

The invention discloses a fishing management system based on the Internet of Things and a fishing method. The three technical bottlenecks that fish bodies are damaged due to contact type fish catch disposal in a traditional fishing ground, fish catches are all taken away to cause high fishing ground supplement cost, and the activeness of fixed point exchange users is low are solved. The system comprises a user terminal, a fishery management terminal and a cloud server. The core is to construct a technical closed loop of'fish harvesting non-damage statistics-integral dynamic conversion-permission random activation '; fish harvesting zero-damage treatment: fish body features are collected through a non-contact sensor of a fishery management terminal, and net-diddling weighing operation is avoided; value lossless conversion: the cloud server generates points according to a fish type / body type preset algorithm, and the user exchanges the points into an encryption packaging unit; random permission activation is carried out according to a user instruction, permission activation is allocated to the encryption packaging unit from the permission library according to a random weight algorithm, and traditional low-value gift exchange is replaced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of fishing, in particular to a fishing management system based on the Internet of Things and a fishing method. BACKGROUND

[0002] With the development of leisure fishing, Internet of Things technology is gradually applied to modern fishing ground management, such as intelligent fishing gear rental system, electronic billing terminal and other basic digital solutions. However, in the core link involving fish processing, value conversion and user interest incentive, the existing technology still has systematic defects, which are specifically manifested in the following aspects:

[0003] I. Traditional fishing grounds generally adopt the mode of "net fishing → manual weighing → user taking away / paying for releasing". This process has many contradictions: ① When fish bodies are taken out of water and contact scales and nets, the mucus layer is mechanically damaged, and the gills are exposed to air, causing suffocation damage, which seriously violates the concept of ecological and sustainable development; ② When recording fish species and weight manually, it is easy to produce misjudgment due to the experience difference of operators, such as confusion of similar fish species. When users have doubts about the value of fish, there is a lack of objective and tamper-proof traceability mechanism, which leads to consumption disputes; ③ On average, each adult fish taken away needs to be supplemented with an equal amount of fry, and the new fry needs a 3-6 month breeding period. Taking away fish by users may cause persistent depletion of fishing resources, causing periodic gaps in cash flow and fish stock.

[0004] Current fishing grounds generally equate fish to "take-away goods" or "consumables based on weight", forming two dilemmas: ① Users need to choose between "taking away fish" and "releasing immediately". If they choose to release, the fishing ground saves the cost of fish, but the users do not receive substantive feedback on their rights and interests, and the sense of consumption is greatly reduced; if they take away the fish, users face the burden of cold chain transportation, slaughter processing and other derivative burdens, reducing the purity of leisure experience; ② A few fishing grounds try to exchange fish weight for points, but points can only be exchanged for low-value physical gifts such as bait and towels, or fixed discount privileges such as discount cards. Lack of dynamic value anchoring mechanism with high-value fishing ground service intelligent devices and scarce fishing sites leads to a decline in the attractiveness of points. The technical contradiction between physical damage to fish and resource sustainability, user interest incentive and operation cost control has not been effectively solved.

[0005] In addition, the operation of traditional leisure fishing grounds is highly dependent on on-site physical devices and manual intervention, and an effective device networking has not been established. If users need to use fishing ground resources or know the use of fishing ground devices, they must go to the site to operate, resulting in unbalanced resource utilization. For example, after users drive to the fishing ground, they often encounter situations such as the target fishing site being occupied or high-end equipment malfunctioning, and such information lags for several hours, which the traditional fishing ground cannot update in time and effectively. SUMMARY

[0006] This invention provides an Internet of Things (IoT)-based fishing management system that addresses three major technical bottlenecks in traditional fish farms: fish damage caused by contact-based fish handling, high replenishment costs due to fish removal, and low user activity in fixed-point redemption. The system comprises a user terminal, a fish farm management terminal, and a cloud server. Its core technology relies on a closed loop: "Non-damage fish handling: The fish farm management terminal uses non-contact sensors to collect fish characteristics, eliminating the need for weighing nets." Value lossless conversion: The cloud-based point calculation module generates points based on a preset algorithm for fish species and size. Users redeem these points for encrypted units encapsulating at least one time-limited operation permission through the encrypted encapsulation unit redemption module. Random permission activation: The encrypted encapsulation unit activation module responds to the activation command and allocates permission activation from the permission library according to a random weighting algorithm, replacing traditional low-value gift redemption. This reduces the cost of replenishing fish farm resources while improving the efficiency of high-value equipment and user repurchase stickiness.

[0007] To solve the above technical problems, the present invention provides a fishing management system based on the Internet of Things, which adopts the following technical solutions, including: a user terminal, multiple fishing grounds equipped with fishing ground management terminals, and a cloud server, wherein:

[0008] The user terminal is configured to send a phishing service request, instruction or query to the cloud server and receive feedback information;

[0009] A fish farm management terminal configured to manage equipment, maintain the fish farm, and receive information from the cloud server; the fish farm management terminal includes a fish catch statistics module;

[0010] The fish catch statistics module is configured to collect characteristic data of fish caught by the user in a non-contact manner and upload the data to the cloud server so as not to cause damage to the fish;

[0011] The fishing management system is configured so that the fish obtained by the user during the fishing activity is fully or partially recovered by the fishery after the fish statistics module collects data;

[0012] The cloud server includes a user management module, which is configured to verify user identity and authority, receive and respond to user fishing requests, instructions or queries; generate user points based on the user's fishing catch data; respond to redemption instructions to convert user points into encrypted packaging units; respond to opening instructions, based on the encrypted packaging unit, activate at least one operation permission from the permission library through a random allocation mechanism, and associate the activated operation permission with the user account.

[0013] The present application realizes zero-damage processing of fish catch: fish body characteristics are collected by a non-contact sensor of a fishing ground management terminal to avoid net weighing operation; value is converted without damage: the cloud server generates points according to a preset algorithm of fish species / size, and the user exchanges the points for an encrypted encapsulation unit through the cloud server; random permission activation: the cloud server responds to the opening instruction, and distributes permission activation from the permission library according to a random weight algorithm, replacing the traditional low-value gift exchange. The present application realizes the reduction of fishing ground resource supplement cost, and improves the use efficiency of high-value equipment and the user repurchase stickiness.

[0014] The fishing management system based on the Internet of Things comprises a cloud server, a user management module, a fish catch statistical module, a non-contact sensor, a fishing ground management terminal and a user terminal.

[0015] The user management module is configured to verify the identity of the user and match the corresponding permission to the user who passes the verification.

[0016] The point calculation module is configured to calculate the user points according to the fish catch data uploaded by the fish catch statistical module according to a preset algorithm.

[0017] The encrypted encapsulation unit exchange module is configured to exchange the user points into the encrypted encapsulation unit according to a preset algorithm in response to the encrypted encapsulation unit exchange instruction of the user terminal.

[0018] The encrypted encapsulation unit opening module is configured to randomly allocate at least one operation permission with time limit from the permission library and associate it to the user account in response to the encrypted encapsulation unit opening instruction of the user terminal and according to a preset random weight algorithm.

[0019] The fishing management system based on the Internet of Things comprises a cloud server, a user management module, a fish catch statistical module, a non-contact sensor, a fishing ground management terminal and a user terminal.

[0020] The fish catch storage module is configured to perform hash calculation on the fish catch characteristic data of the fish caught by the user, generate a unique hash value, bind it to the hash value of the previous block after binding with the space-time coordinates, and write it into the blockchain node for storage.

[0021] The point storage module is configured to perform hash calculation on the point data of the user, generate a unique hash value, bind it to the hash value of the previous block after binding with the space-time coordinates, and write it into the blockchain node for storage.

[0022] The encrypted encapsulation unit exchange storage module is configured to perform hash calculation on the operation of exchanging the encrypted encapsulation unit with the points used by the user, generate a unique hash value, bind it to the hash value of the previous block after binding with the space-time coordinates, and write it into the blockchain node for storage.

[0023] The encryption packaging unit opens the storage module, which is configured to perform hash calculation on the operation of assigning the encryption packaging unit with time-limited operation permissions, generate a unique hash value, and bind it to the hash value of the previous block after binding with the space-time coordinates, and write it into the blockchain node for storage.

[0024] The fish catch statistics module is provided with a replaceable grid structure in the screening area, and the grid structure is configured to replace grid pieces with different gap specifications according to the size of the fish body; when the fish body contacts the grid structure, the fish body that does not reach the size threshold is guided to swim back to the fishing ground through the gap of the grid structure; and the fish body that has reached the size threshold is intercepted by the grid structure.

[0025] The fishing ground management terminal further comprises a fish school thermal map data acquisition module, which is configured to detect at least the presence of fish schools and record the location information of the fish schools by using a detection device that can move in water, and upload the information to the cloud server; the cloud server further comprises a fish school thermal map generation module, which is configured to receive and analyze the information uploaded by the fish school thermal map data acquisition module, and generate a fish school distribution thermal map.

[0026] The cloud server further comprises an NFT generation module, which is configured to generate a preset number of NFT vouchers, each of which is attached to a preset time-limited operation permission, which is written into the metadata of the voucher when the voucher is generated; and the encryption packaging unit opening module is configured to: in response to the encryption packaging unit opening instruction of the user terminal, and according to a preset algorithm, output one of the following: time-limited operation permissions; and NFT vouchers attached with time-limited operation permissions.

[0027] The cloud server further comprises an NFT combination verification module, which is configured to: store the mapping relationship between different NFT voucher combinations and operation permissions in a preset combination rule library; identify the NFT voucher combination held by the user; match the preset combination rule library; and if the combination conforms to the rule, activate the corresponding operation permission for the user.

[0028] The NFT vouchers are divided into high-weight type and low-weight type according to the assigned weight values, and the encryption packaging unit opening module is configured to have a lower distribution probability for the high-weight type NFT vouchers than for the low-weight type NFT vouchers.

[0029] The fishing management system based on the Internet of Things, the fish catch statistics module comprises a slide type fish catch statistics system, and the slide type fish catch statistics system comprises: a slide arranged in water; and a visual recognition system arranged on the slide and used for fish catch counting and species identification.

[0030] The fishing management system based on the Internet of Things, the fishing ground management terminal further comprises a device management module, the device management module is configured to dispatch devices of the fishing ground and upload state information of the devices to the cloud server; and the device management module supports hardware dispatching of at least one of the following three fishing modes:

[0031] A live fishing mode, the hardware of the live fishing mode at least comprises a fishing rod and a fishing site;

[0032] A net trap fishing mode, the hardware of the net trap fishing mode at least comprises a net trap device and a fishing site;

[0033] A bionic fish fishing mode, the hardware of the bionic fish fishing mode at least comprises a plurality of bionic fish and a bionic fish fishing tool.

[0034] The fishing management system based on the Internet of Things, the devices that can be dispatched by the device management module further comprise a motorized fishing platform, a fish school distribution thermal map and a live fishing device.

[0035] The fishing management system based on the Internet of Things, the user terminal comprises a device operation module, the device operation module is configured to remotely control fishing devices of the fishing ground.

[0036] A fishing method based on the Internet of Things, comprising a fishing management system based on the Internet of Things as described above, comprising the following steps:

[0037] S1. The user terminal sends a fishing service request to the cloud server;

[0038] S2. In response to the fishing service request, the cloud server verifies the user identity and matches the authority;

[0039] S3. The user performs fishing activities at the fishing ground or remotely;

[0040] S4. The fishing ground management terminal collects fish catch characteristic data of fish caught by the user through a non-contact sensor and uploads the fish catch characteristic data to the cloud server;

[0041] S5. The cloud server calculates new points obtained by the user according to the received fish catch characteristic data according to a preset algorithm;

[0042] S6. The user terminal sends an encrypted encapsulation unit exchange instruction to the cloud server; in response to the encrypted encapsulation unit exchange instruction, the cloud server deducts the corresponding integral value of the user, generates or exchanges an encrypted encapsulation unit for the user, and feeds back the exchange result to the user terminal;

[0043] S7. The user terminal sends an encrypted encapsulation unit opening instruction to the cloud server; in response to the encrypted encapsulation unit opening instruction, at least one operation right with time limit is randomly allocated from a pre-defined right library according to a pre-set random weight algorithm, the allocated operation right is activated, and the activated operation right is associated with the corresponding user account;

[0044] S8. The user uses the activated operation right to operate.

[0045] As described above, a phishing method based on the Internet of Things, the random allocation in step S7 includes: obtaining an operation right with time limit; or obtaining an NFT certificate attached with an operation right with time limit.

[0046] As described above, a phishing method based on the Internet of Things, when the combination of the NFT certificates held by the user meets the pre-set rule condition, the following operations are automatically triggered: calling an NFT combination verification module to compare the NFT certificate identifiers under the user name; if the preset combination is matched, the operation right corresponding to the combination is activated; and a right activation notification is pushed.

[0047] Compared with the prior art, the present application has the following advantages:

[0048] 1. Non-contact fish catch statistical module 22: completely avoids physical contact links such as net copying and water leaving in traditional operations, eliminates the risk of damage to the mucus layer of fish and suffocation of gills from the bottom of the technology, and significantly improves the survival adaptability of live fish after release.

[0049] 2. Integral-encapsulation unit exchange mechanism: converts the value of fish catch into a virtual operation right carrier, which fundamentally reduces the pressure of continuous loss of live fish resources in the fishing ground, and forms a behavior incentive mechanism for continuously attracting user repurchase by matching a random right allocation algorithm.

[0050] 3. The blockchain storage module 35 provides an unalterable technical endorsement for key operations of the management system, effectively solving the risk of single-party tampering of data in the management system.

[0051] 4. The fish school thermal map generation system realizes dynamic optimization of resources, and increases the interest of fishing.

[0052] 5. Add NFT system, change fishing rights into "collectible and tradable digital cards", stimulate users to exchange and collect, and increase user stickiness.

[0053] 6. Setting three fishing modes of real fishing, real or remote net fishing, intelligent fishing, matching rich Internet of Things fishing devices and service items, and improving fishing fun.

[0054] 7. Fishing ground fishing equipment networking, users can view device information or dispatch equipment through the cloud, improve the utilization rate of resources, build an Internet of Things system of equipment-data-rights, and solve the problem of low efficiency of traditional fishing ground equipment management. [BRIEF DESCRIPTION OF DRAWINGS]

[0055] The specific embodiments of the present application will be further described in detail below with reference to the accompanying drawings, in which:

[0056] Figure 1 is a logic diagram of a fishing management system based on the Internet of Things of the present application;

[0057] Figure 2 is an implementation flowchart of a fishing management system based on the Internet of Things of the present application. [DETAILED DESCRIPTION]

[0058] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0059] As Figure 1The fishing management system based on the Internet of Things includes a user terminal 1, a plurality of fishing grounds equipped with fishing ground management terminals 2, and a cloud server 3. The user terminal 1 is configured to send fishing service requests, instructions, or queries to the cloud server 3 and accept feedback information. The fishing ground management terminal 2 is configured for device management, fishing ground maintenance, receiving authentication information from the cloud server 3, user authentication, and pricing and charging. The fishing ground management terminal 2 includes a device management module 21 and a fish catch statistics module 22. The device management module 21 is configured to dispatch the devices of the fishing ground and upload the status information of the devices to the cloud server 3. The fish catch statistics module 22 is configured to collect fish catch feature data of the fish caught by the user through a non-contact sensor and upload the data to the cloud server 3 without causing damage to the fish body. The fishing management system is configured such that the fish catch obtained by the user during fishing activities is fully or partially recovered by the fishing ground after the data is collected by the fish catch statistics module 22. Recovery allows the fish catch to return to the fish pond of the fishing ground for other users to catch, and partial recovery is used for situations such as fish that cannot grow in size, which can be sold to users or used for other purposes, thereby benefiting the ecological stability of the fishing ground. The cloud server 3 is configured to receive and respond to user fishing requests, instructions, or queries. The cloud server 3 includes a user management module 31, an integral calculation module 32, an encryption packaging unit exchange module 33, and an encryption packaging unit opening module 34. The user management module 31 is configured to verify the identity of the user and match the corresponding permissions to the user who passes the verification. The integral calculation module 32 is configured to calculate the user's integral according to the fish catch data uploaded by the fish catch statistics module 22 based on a preset algorithm. The encryption packaging unit exchange module 33 is configured to exchange the user's integral into an encryption packaging unit according to a preset algorithm in response to the encryption packaging unit exchange instruction of the user terminal 1, such as 100 integrals for one encryption packaging unit. The encryption packaging unit opening module 34 is configured to activate and associate at least one time-limited operation permission to the user account from the permission library according to a preset random weight algorithm in response to the encryption packaging unit opening instruction of the user terminal 1. The core of the invention is to build a "fish catch non-damage statistics -> integral dynamic conversion -> permission random activation" technical closed loop. Fish catch zero-damage processing: fish body features are collected by the non-contact sensor of the fishing ground management terminal 2 to avoid the net weighing operation; value non-damage conversion: the cloud integral calculation module 32 generates integrals according to the fish species / body type preset algorithm, and the user exchanges the integrals into the encryption packaging unit through the encryption packaging unit exchange module 33; random permission activation: the encryption packaging unit opening module 34 responds to the opening instruction and activates the permission from the permission library according to the random weight algorithm, replacing the traditional low-value gift exchange. The fishing management system reduces the cost of replenishing fishing ground resources, improves the use efficiency of high-value equipment, and enhances the user's repurchase stickiness.

[0060] The embodiment describes the implementation process of a fishing management system based on the Internet of Things. Preferably, the fishing area can reach 30 mu, the fishing ground as a whole can be arranged in a rectangular layout, and multiple fixed fishing positions are arranged on the shore of the fishing ground. The spacing is reasonably distributed to ensure the user operation space, and each fixed fishing position is provided with a support for installing Internet of Things fishing equipment, such as a bionic fish device with a fish attracting device. A fixed water platform is arranged in the middle of the fishing ground, and the water platform is supported by multiple floating platforms. The periphery of the water platform is also provided with fixed fishing positions and Internet of Things equipment installation supports. Preferably, solar panels can also be arranged on the water platform to supply power to the equipment on the water platform. Preferably, multiple movable motor platforms are also arranged on the water surface of the fishing ground. The motor platform is equipped with a driving device, such as an underwater propeller, and can move on the water surface. The motor platform can also be formed by splicing multiple floating platforms. The motor platform has a carrying function, and the user can move on the water surface with the motor platform. Preferably, the motor platform is provided with a net trap fishing device, and the net trap fishing device supports remote operation. The motor platform is configured as a movable fishing position of the fishing ground. Preferably, a fish catch statistical module 22 is arranged on each fishing position. Preferably, the fish catch statistical module 22 can use a combination of fishing nets and visual recognition systems for statistics. The visual recognition system is an underwater camera running a specific AI algorithm, such as YOLOv5 algorithm, which can identify multiple types of cultured fish and measure body length data in real time. Preferably, an Internet of Things slide counting system can also be arranged in the fishing ground. All fish caught by the user during on-site fishing need to pass through the specially designed Internet of Things slide counting system, and after automatically scanning and identifying the fish and quantity during the swimming and releasing process, they return to the fishing ground. Preferably, an infrared scanner and a high-resolution camera are installed on the fishway to count, identify the species, and record the contour image of the fish passing through the fishway, such as the existing riverwatcher fishway monitoring fish statistics system. The on-site fishing mode of the equipment management module 21 can use fixed fishing positions and movable fishing positions as well as fishing rods. In some embodiments, the net trap fishing device is provided with a visual fishing device, each set of device containing a diameter of one point five meters nylon net cage, which is controlled by an electric gear set to flip and open and close accurately within a range of zero to one hundred and eighty degrees. Preferably, the net door can also be set as an up-down telescopic opening and closing type. The user operates the equipment of the fishing ground through the equipment operation module 11. The infrared counter and LED fill light are integrated inside the net cage. When the fish group enters the trapped space, the counting and photographing are automatically triggered. After the record is stored, the net door is opened to release the fish catch. Non-contact fish catch statistical module 22: completely avoids the physical contact links such as net lifting and weighing in the traditional operation, eliminates the damage to the mucus layer of the fish body and the risk of fish gill suffocation from the bottom of the technology, and significantly improves the survival adaptability of the released live fish.

[0061] In some embodiments, the fish catch statistics module 22 sets a replaceable grid structure in the screening area, which is configured to replace grid plates with different gap specifications according to the size of the fish body; when the fish body contacts the grid structure, the fish body that does not reach the size threshold is guided to swim back to the fishery through the gap of the grid structure; the fish body that has reached the size threshold is intercepted by the grid structure. By setting the screening structure, small fish are avoided to be intercepted, and the fish body screened through the screening structure is generally a fish that cannot grow any more. After being screened through the fish catch statistics module, the fish body can be purchased by the user or used for other purposes, which is conducive to the stability of the fishery ecology. Preferably, the fish catch statistics module 22 further comprises a fish body size screening unit 221, which is configured to detect the length data of the fish body in the fish catch through a visual recognition sensor in real time; compare the detection data with a preset size threshold; and automatically trigger a shunt mechanism for the fish body that does not reach the size threshold, so that it directly swims back to the fishery water body through an adjustable grid or flap structure without being counted in the statistics process.

[0062] In some embodiments, in addition to supporting real fishing and visualizing net fishing, the fishing ground also supports intelligent artificial fish fishing, and the intelligent artificial fish can be placed in a certain independent water area, and about 200 artificial fish of different fish types, such as crucian carp, grass carp, carp, silver carp and sturgeon, are placed to support users to fish intelligently on site or remotely. Preferably, the head of the intelligent artificial fish is composed of a perspective window, and a fish eye system is designed to project laser on the window to display wisdom questions or Chinese traditional culture questions. The user approaches the artificial fish or pays to make the artificial fish approach, and observes the questions on the head of the artificial fish. The user terminal 1 is provided with a wearable device module 14, the wearable device module 14 is connected to a wearable device such as a VR headset, and then the user answers the questions of the artificial fish through the headset, and if the answer is correct, the artificial fish will enter the user's net trap preparation siege area, and the user will control the visualized net trap kit to surround the artificial fish in the net trap channel to a preset time length, which defines the success of net fishing one or more artificial fish. Preferably, after the user selects remote intelligent fishing, the user can pay a fee to purchase a virtual augmented reality wearable device or equipment, such as a fishing handle and a VR glasses that can be deeply coupled with the fishing ground environment, or can also select the augmented reality sea view provided by the platform on the virtual intelligent gambling cloud fishing platform. Preferably, the user terminal 1 is provided with a permission grading module 13, which opens different device operation permissions according to different levels of users. For example, users can be divided into primary, intermediate and advanced levels, and the starting equipment of users of different levels is different, and the user level can be improved through fishing points accumulation and other ways to enhance the user's participation and fishing interest. Related user level information is also synchronized to the cloud server 3, and the user management module 31 is set in the cloud server 3. The user terminal 1 is provided with a user verification module 12, which is associated with the user management module 31 of the cloud server 3 to verify the identity information of the user. Preferably, the user terminal 1 is provided with a live broadcast module 15, and the management system also supports live broadcast sharing. The data related to the fishing process can be collected, visualized information can be generated, and verified users can be shared, which is helpful to expand the audience group. The artificial fish for intelligent fishing is also calculated for fish catch data. After obtaining the fish catch data of the user by different ways of fishing, the fish catch data uploaded by the fish catch statistical module 22 to the cloud server 3 is calculated by the user points calculation module 32 according to the preset algorithm. For example, the fish catch data is converted into points according to the proportion of fish species or the size of fish, or the user is informed in advance that different fish species and different sizes of fish correspond to different points, so as to achieve openness and transparency. Preferably, when the points of the user account accumulate to a certain value, preferably, a threshold value can be set, such as 20 points, and the exchange entrance of the encrypted encapsulation unit can be activated on the user terminal 1. After the user initiates the exchange request, the cloud server 3 exchanges the points into the corresponding encrypted encapsulation unit.The user can decide to open or not to open after the exchange of the encryption packaging unit, when the user chooses to open, sends the opening instruction to the cloud server 3, the encryption packaging unit opening module 34 in the cloud server 3 responds to the encryption packaging unit opening instruction of the user terminal 1, opens the encryption packaging unit, and according to the preset random weight algorithm, at least one operation permission with time limit is randomly allocated from the permission library and activated and associated to the user account, and the user can use the activated permission to operate the device. The integral-packaging unit exchange mechanism: the fish catch value is converted into a virtual operation permission carrier, which fundamentally reduces the pressure of the continuous loss of live fish resources in the fishing ground, and is matched with the random permission allocation algorithm to form a behavior incentive mechanism to continuously attract user repurchase.

[0063] In some embodiments, the cloud server 3 further comprises a blockchain storage module 35, which comprises: a fish catch storage module 351 configured to perform hash calculation on the fish catch feature data of the fish caught by the user, generate a unique hash value, and associate the hash value with the space-time coordinates after binding to the hash value of the previous block, and write into the blockchain node for storage; an integral storage module 352 configured to perform hash calculation on the integral data of the user, generate a unique hash value, and associate the hash value with the space-time coordinates after binding to the hash value of the previous block, and write into the blockchain node for storage; an encrypted encapsulation unit exchange storage module 353 configured to perform hash calculation on the operation of the user using the integral to exchange for the encrypted encapsulation unit, generate a unique hash value, and associate the hash value with the space-time coordinates after binding to the hash value of the previous block, and write into the blockchain node for storage; an encrypted encapsulation unit opening storage module 354 configured to perform hash calculation on the operation of the encrypted encapsulation unit assigning the time-limited operation permission, generate a unique hash value, and associate the hash value with the space-time coordinates after binding to the hash value of the previous block, and write into the blockchain node for storage. In the core architecture of the present application, the blockchain storage module 35 is a key technical component to ensure data tamper-proofing, and is used throughout the fish catch processing, integral exchange and permission activation process through a three-level storage mechanism. This module is deployed in the cloud server 3, uses the Tencent ZhiXian chain alliance chain architecture, and is directly connected with the fishing ground Internet of Things equipment. When the user completes the fish catch statistics through the fish catch statistics module 22, such as the slide system, the storage process is triggered in real time: in the fish catch storage starting stage, after the fish catch data is received by the fish catch storage module 351 of the cloud server 3, the fish catch information, user information, time information, etc. are combined to generate institutional data, and SHA-256 algorithm is called to generate 64-bit hash value, while the Beidou positioning coordinates are collected as space-time identification. At this time, the storage engine performs space-time binding operation, constructs a standard storage message, and the message is sent to the ZhiXian chain node through the special API interface after digital signature. The node performs chain operation after receiving the request. Preferably, the integral change under the user account is also stored in the blockchain by the integral storage module 352, the operation of the user using the integral to exchange for the encrypted encapsulation unit is stored in the blockchain by the encrypted encapsulation unit exchange storage module 353, and the operation of the user opening the encrypted encapsulation unit and the encrypted encapsulation unit being assigned with time-limited operation permission is stored in the blockchain by the encrypted encapsulation unit opening storage module 354. The blockchain storage module 35 provides tamper-proof technology for key operations of the management system, effectively solving the risk of single-party tampering of data in the management system.

[0064] In some embodiments, the fishery management terminal 2 further comprises a fish thermal map data collection module 23 configured to detect at least the presence of fish shoals and record the location information of the fish shoals using a detection device that can move in water, and upload to the cloud server 3; the cloud server 3 further comprises a fish thermal map generation module 36 configured to receive and analyze the information uploaded by the fish thermal map data collection module 23, and generate a fish distribution thermal map. Preferably, the detection device can be an unmanned boat that can travel on the water surface and in the water, or a bionic fish equipped with a detection device. The shell of the unmanned boat is made of corrosion-resistant material and has a collision protection function. Two underwater thrusters are arranged on the rear part of the body of the unmanned boat. An information collection assembly is arranged on the unmanned boat, which includes an environment perception device for collecting environmental information, and a fish finding device for detecting the location of fish shoals. Preferably, the environment perception device includes different types of sensors. For water environment information, it specifically includes at least a wind speed and direction instrument 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 of MonoTRecorder type from Hangzhou Shallow Sea Technology Co., Ltd. By setting multiple different sensors, the data of the environment can be accurately collected, preparing for the next correlation analysis. The fish finding device is provided with a sonar detection device for detecting the location of fish shoals. Preferably, the sonar detection device can use a professional fish finder, which uses a multi-beam fish finder with wide coverage and large detection depth. Preferably, it can also combine acoustic detection, such as using a hydrophone array that can listen to fish sounds, which can listen to information such as stone bream courtship sound and tuna swimming low-frequency vibration, so as to discover fish shoals and quickly locate them. The unmanned boat is provided with a communication device that can send the collected information to the fish thermal map data collection module 23 of the fishery terminal, and then send it to the cloud server 3 by the fish thermal map data collection module 23. The fish thermal map generation module 36 of the cloud server 3 receives and analyzes the information uploaded by the fish thermal map data collection module 23, and generates a fish distribution thermal map.The fish school heat map generation module 36 maps the fish school density data into a color gradient heat map, such as red high density and blue low density. The specific generation process is as follows: the fish school position information, including longitude, latitude and water depth, is converted into a two-dimensional plane coordinate system and superimposed with a GIS geographic information system base map; the two-dimensional plane coordinates of the fish school are inserted into the GIS geographic information system base map, the fish school density of each geographic position on the GIS geographic information system base map is estimated by a spatial interpolation method, and a heat value representing the fish school density is assigned to each geographic module according to the above fish school density estimation result. Based on the collected data, the fish school density is calculated, and the color gradient is divided according to the density value. For example: low density→blue, medium density→green, high density→red, and the transparency is set to distinguish the overlapping area. The spatial interpolation method includes inverse distance weighting or Kriging method. Preferably, the environmental parameters, including water temperature, dissolved oxygen and time stamp, can also be marked on the heat map to form a spatio-temporal multi-dimensional visualization interface. Preferably, in some embodiments, the travel path of the intelligent bionic fish can be preset in the cloud server 3, and the cloud server 3 can directly generate the activity motion track of the intelligent bionic fish school, i.e. the bionic fish activity heat map, and the fish school distribution heat map. Figure 1 The fish school heat map generation system realizes dynamic optimization of resources, and increases the fishing interest.

[0065] In some embodiments, the fishery management terminal 2 is also provided with an ecological monitoring module 24, which collects real-time water ecological data, such as water temperature, pH value, dissolved oxygen and other information, through various sensors, and presets emergency measures to be taken when the related parameters exceed the standard threshold. Preferably, the fishery ecological data information can also be recorded by the block chain storage module 35 of the cloud server 3. By monitoring the changes of the core indicators of the water body in real time, combining with the predictive analysis model to actively identify the potential ecological imbalance risk, and dynamically linking the control equipment to implement intervention; significantly improve the timeliness of environmental risk prevention and control, and provide technical support for the sustainable operation of the fishery.

[0066] In some embodiments, the cloud server 3 further comprises an NFT generation module 37 configured to generate a preset number of NFT vouchers in the ERC-1155 multi-token standard, each NFT voucher being accompanied by a preset time-limited operation right written into its metadata at the time of generation; the encryption encapsulation unit opening module 34 is configured to: respond to the encryption encapsulation unit opening instruction of the user terminal 1, and output one of the following according to a preset algorithm: a time-limited operation right; and an NFT voucher bound with a time-limited operation right. The cloud server 3 further comprises an NFT combination verification module 38 configured to: pre-store a combination rule library storing the mapping relationship between different NFT voucher combinations and operation rights; identify the NFT voucher combination held by the user; match the pre-stored combination rule library; and if the combination meets the rules, activate the corresponding operation right for the user. The NFT vouchers are divided into high-weight type and low-weight type according to the assigned weight values, and the encryption encapsulation unit opening module 34 is configured to have a lower distribution probability for high-weight type NFT vouchers than for low-weight type NFT vouchers. Preferably, the NFT digital voucher system is introduced to upgrade the traditional operation right to an NFT asset with a unique identifier. When the user opens the encryption encapsulation unit, the system may generate a corresponding NFT voucher according to the distribution result. The voucher is authenticated using blockchain technology and contains detailed metadata: device type identifier, bound operation right, recorded transaction count, and other core parameters. The vouchers are managed hierarchically according to their scarcity, with a reasonable high distribution probability for regular type vouchers, i.e. low-weight type NFT vouchers, and a moderate reduction in the distribution probability of rare type vouchers, i.e. high-weight type NFT vouchers, to maintain system balance. Preferably, the system supports multi-NFT voucher combination activation. The pre-constructed combination rule library is stored in the cloud server 3, and when the user holds a specific voucher combination, for example, NFT vouchers based on the heroes of the Water Margin, if the user also holds NFT vouchers of the Five Tiger Generals of the Song Dynasty, the system automatically identifies and matches the rules, triggering higher-order compound rights, such as the exchange of fishing gear annual use rights for NFT vouchers of the Five Tiger Generals. This mode integrates multiple device operation rights and supports cross-device coordinated control. The combination rules are flexible and elastic, supporting multi-level permission upgrade paths. The addition of the NFT system turns the fishing rights into "collectible and tradable digital cards", stimulating users to exchange and collect, and increasing user stickiness.

[0067] The fishing method of the present application adopts the above-mentioned fishing management system based on the Internet of Things, comprising the steps of:

[0068] S1. The user terminal 1 sends a fishing service request to the cloud server 3;

[0069] S2. In response to the fishing service request, the cloud server 3 verifies the user's identity and matches the rights;

[0070] S3. The user performs fishing activities at the fishing ground or remotely;

[0071] S4. The fishing ground management terminal 2 collects fish catch characteristic data of the fish caught by the user through a non-contact sensor, and uploads the fish catch characteristic data to the cloud server 3;

[0072] S5. The cloud server 3 calculates the new points obtained by the user according to the received fish catch characteristic data according to a preset algorithm;

[0073] S6. The user terminal 1 sends an encrypted encapsulation unit exchange instruction to the cloud server 3; in response to the encrypted encapsulation unit exchange instruction, the cloud server 3 deducts the corresponding points value of the user, generates or exchanges an encrypted encapsulation unit for the user, and feeds back the exchange result to the user terminal 1;

[0074] S7. The user terminal 1 sends an encrypted encapsulation unit opening instruction to the cloud server 3; in response to the encrypted encapsulation unit opening instruction, at least one operation right with time limit is randomly allocated from a predefined right library according to a preset random weight algorithm, the allocated operation right is activated, and the activated operation right is associated with the corresponding user account;

[0075] S8. The user uses the activated operation right to operate.

[0076] Preferably, the random allocation in step S7 includes: obtaining an operation right with time limit; or obtaining an NFT voucher attached with an operation right with time limit. Preferably, when the combination of NFT vouchers held by the user meets a preset rule condition, the following operations are automatically triggered: calling an NFT combination verification module 38 to compare the NFT voucher identifiers under the user name; if the preset combination is matched, the operation right corresponding to the combination is activated; and a right activation notification is pushed.

[0077] As shown in Figure 2 , it is an implementation flowchart of a fishing management system based on the Internet of Things. The specific description is as follows: after the user registers his real name, he selects a fishing mode.

[0078] When choosing real fishing, make an appointment for fishing through the APP and navigate to the site. After paying the basic fishing fee, use your own fishing gear. The fish caught is counted by the fish counting system. During the sliding process, the recognition equipment takes pictures, for example, if the algorithm identifies the fish as a 25 cm grass carp, it generates 15 points. The point data is uploaded to the cloud in real time, and the hash value is calculated by the blockchain module, such as SHA-256 algorithm output 64-bit encoding, and the space-time coordinates are written into Tencent Tieshi chain node. When the user's points reach 100, they can exchange encrypted encapsulation units. User terminal 1 is provided with an encrypted encapsulation unit instruction module 16, which is responsible for sending the exchange and opening instructions of the encrypted encapsulation unit to the cloud server 3. The system generates NFT vouchers with operation permissions: such as Tianqiang-level Linchong card, binding bionic fish equipment for two hours; such as Disha-level Zhangshun card, activating the advanced permission of the heat map or the four-hour operation right of the special voucher deep water area mobile platform. When the encrypted encapsulation unit is opened, the dynamic weight algorithm is executed: the basic allocation probability is 15%, the allocation probability is affected by the user's historical operation, including sharing, repurchase, etc., and the user can view the allocation probability in real time. After opening, the user may obtain equipment operation permission with time limit, or NFT voucher with specific operation permission, and the related results are stored under the user's name. The above operations are stored by blockchain to ensure that the data cannot be modified.

[0079] When choosing remote net trap mode, the net trap mode can also be operated on site. The user remotely controls the net trap opening and closing angle and the fish attracting device adjustment through the user terminal 1, such as mobile phone APP. When the instruction is sent to the fishing ground equipment, the net door opens and the fish enters the net, and the infrared counter records twenty crucian carp entering the net. After one point two settlement time coefficient, twenty four points are settled. The whole process is shot by a waterproof camera, and the key frame image generates a hash value bound to the operation timestamp and stored in the Tencent Tieshi chain node. When the points reach 100, the encrypted encapsulation unit can be exchanged, and the encrypted encapsulation unit can also be opened to obtain equipment operation permission with time limit, or NFT voucher with specific operation permission, like the real fishing in the above.

[0080] When choosing intelligent bionic fish fishing mode, the user controls the virtual fishing rod through the intelligent wearable device, and the system sets three levels of bionic fish AI difficulty: novice level AI avoidance rate 40%, bionic fish active failure every three minutes; master level avoidance rate up to 80%, need to consume special NFT voucher, such as consuming Water Margin hero Lu Zhun card, forced to reduce AI precision. The hierarchical adjustment of AI enhances the user experience in the process of intelligent fishing, and overall gives the user more than 60% winning rate. Successfully fishing three new level bionic fish, get fifteen points, points full one hundred points can exchange encrypted encapsulation unit, also can open like the real fishing in the above encrypted encapsulation unit to obtain equipment operation permission with time limit, or NFT voucher with specific operation permission.

[0081] The NFT certificate is specifically 108 NFT certificates of heroes of the water and marsh heroes, which are divided into two categories of ordinary type and hidden type, and each certificate is bound with specific device operation authority through a smart contract.

[0082] The application initiates a "fish catch recycling" mode, automatically counts the fish catch through the Internet of Things, guarantees the sustainability of fishery resources of the fishery, and reduces the consumption threshold of the user. The "fish catch-credit-encryption encapsulation unit-NFT certificate-physical rights" is constructed, and the stickiness of the user is enhanced. The block chain storage ensures that the data cannot be tampered with.

Claims

1. A fishing management system based on the Internet of Things, characterized by The system comprises a user terminal (1), at least one fishery equipped with a fishery management terminal (2), and a cloud server (3), wherein: The user terminal (1) is configured to send a phishing service request, instruction or query to the cloud server and receive feedback information; A fish farm management terminal (2) configured to manage equipment, maintain the fish farm, and receive information from the cloud server (3); the fish farm management terminal (2) includes a fish catch statistics module (22); The fish catch statistics module (22) is configured to collect characteristic data of fish caught by the user through non-contact means and upload the data to the cloud server (3); The fishing management system is configured so that the fish obtained by the user during the fishing activity are fully or partially recovered by the fishery after the fish statistics module (22) collects data; The cloud server (3) includes a user management module (31) configured to verify user identity and authority, receive and respond to user fishing requests, instructions or queries; generate user points based on the user's fishing catch data; respond to redemption instructions to convert user points into encrypted packaging units; respond to opening instructions to activate at least one operation permission from a permission library based on the encrypted packaging unit through a random allocation mechanism, and associate the activated operation permission with the user account.

2. A fishing management system based on the Internet of Things as claimed in claim 1, characterized in that The cloud server (3) further includes a points calculation module (32), an encrypted packaging unit exchange module (33) and an encrypted packaging unit opening module (34); The user management module (31) is configured to verify the user identity and match corresponding permissions to the verified user; The points calculation module (32) is configured to calculate user points according to a preset algorithm based on the fish catch characteristic data uploaded by the fish catch statistics module (22); The encrypted package unit exchange module (33) is configured to respond to the encrypted package unit exchange instruction of the user terminal (1) and exchange the user points into encrypted package units according to a preset algorithm; The encryption package unit activation module (34) is configured to respond to the encryption package unit activation instruction of the user terminal (1), and randomly allocate at least one time-limited operation permission from the permission library according to a preset random weight algorithm to activate and associate it with the user account.

3. A fishing management system based on the Internet of Things as claimed in claim 1, characterized in that The cloud server (3) further includes a blockchain evidence storage module (35), and the blockchain evidence storage module (35) includes: The fish catch evidence module (351) is configured to perform hash calculation on the characteristic data of the fish caught by the user, generate a unique hash value, bind it to the time and space coordinates, and associate it with the hash value of the previous block, and write it into the blockchain node for storage; The points evidence module (352) is configured to perform hash calculation on the user's points data, generate a unique hash value, bind it to the time and space coordinates, and associate it with the hash value of the previous block, and write it into the blockchain node for storage; The encrypted package unit exchange evidence storage module (353) is configured to perform hash calculation on the user's operation of exchanging points for encrypted package units, generate a unique hash value, bind it to the space-time coordinates, associate it with the hash value of the previous block, and write it into the blockchain node for storage; The encryption encapsulation unit starts the evidence storage module (354), which is configured to perform hash calculation on the operation of the encryption encapsulation unit to allocate the operation authority with time limit, generate a unique hash value, and associate it with the hash value of the previous block after binding it with the space-time coordinates, and write it into the blockchain node for storage.

4. The fishing management system based on the Internet of Things as claimed in claim 1, characterized in that The fish catch statistics module (22) is provided with a replaceable grid structure in the screening area, wherein the grid structure is configured to replace grid pieces with different gap specifications according to the size of the fish; when the fish contacts the grid structure, the fish that does not reach the size threshold are guided through the gaps of the grid structure to swim back to the fishing ground; Fish that have reached a size threshold are intercepted by the grid structure.

5. The fishing management system based on the Internet of Things as claimed in claim 1, characterized in that The fish farm management terminal (2) further comprises a fish school heat map data acquisition module (23), wherein the fish school heat map data acquisition module (23) is configured to detect the presence of fish schools and record the location information of the presence of fish schools through a detection device that can move in water, and upload the information to the cloud server (3); the cloud server (3) further comprises a fish school heat map generation module (36), wherein the fish school heat map generation module (36) is configured to receive and analyze the information uploaded by the fish school heat map data acquisition module (23), and generate a fish school distribution heat map.

6. The fishing management system based on the Internet of Things as claimed in claim 1, characterized in that The cloud server (3) further includes an NFT generation module (37), which is configured to generate a preset number of NFT certificates, each of which is accompanied by a preset time-limited operation permission, which is written into its metadata when the certificate is generated; the encryption packaging unit opening module (34) is configured to: respond to the encryption packaging unit opening instruction of the user terminal (1), and output one of the following two according to a preset algorithm: a time-limited operation permission; an NFT certificate accompanied by a time-limited operation permission.

7. A fishing management system based on the Internet of Things as claimed in claim 6, characterized in that The cloud server (3) also includes an NFT combination verification module (38), and the NFT combination verification module (38) is configured to: preset a combination rule library to store the mapping relationship between different NFT certificate combinations and operation permissions; identify the NFT certificate combination held by the user; match the preset combination rule library; if the combination meets the rules, activate the operation permission corresponding to the NFT certificate combination for the user.

8. A fishing management system based on the Internet of Things as described in claim 6 or 7, characterized in that The NFT voucher is divided into a high-weight type and a low-weight type according to the assigned weight value, and the encryption encapsulation unit activation module (34) is configured so that the assignment probability of the high-weight type NFT voucher is lower than that of the low-weight type NFT voucher.

9. The fishing management system based on the Internet of Things as claimed in claim 1, characterized in that The fish catch statistics module (22) includes a slide-type fish catch statistics system, which includes: a slide arranged in water; and a visual recognition system arranged on the slide for counting fish catches and identifying species.

10. The fishing management system based on the Internet of Things according to claim 1, characterized in that The fish farm management terminal (2) further comprises a device management module (21), wherein the device management module (21) is configured to schedule the equipment in the fish farm and upload the status information of the equipment to the cloud server (3); the device management module (21) supports hardware scheduling in at least one of the following three fishing modes: Field fishing mode, the hardware of the field fishing mode includes at least a fishing rod and a fishing spot; Net trap fishing mode, the hardware of the net trap fishing mode at least includes a net trap device and a fishing spot; Bionic fish fishing mode, the hardware of the bionic fish fishing mode at least includes multiple bionic fish and bionic fish fishing gear.

11. The fishing management system based on the Internet of Things according to claim 10, characterized in that The equipment that can be dispatched by the equipment management module (21) also includes a motorized fishing platform, a net trap device, a fish distribution heat map and a live fishing device.

12. The fishing management system based on the Internet of Things according to claim 1, characterized in that The user terminal (1) comprises a device operating module (11), and the device operating module (11) is configured to remotely control fishing equipment in a fishing ground.

13. A fishing method based on the Internet of Things, characterized in that: A fishing management system based on the Internet of Things according to any one of claims 1 to 11, comprising the following steps: S1. The user terminal (1) sends a phishing service request to the cloud server (3); S2. In response to the phishing service request, the cloud server (3) verifies the user identity and matches the permissions; S3. The user conducts fishing activities at a fishing ground or remotely; S4. The fishery management terminal (2) collects the fish catch characteristic data of the user's fish through non-contact means and uploads the fish catch characteristic data to the cloud server (3); S5. The cloud server (3) calculates the new points obtained by the user according to the preset algorithm based on the received fish feature data; S6. The user terminal (1) sends an encrypted package unit redemption instruction to the cloud server (3); in response to the encrypted package unit redemption instruction, the cloud server (3) deducts the corresponding points value of the user, generates or redeems an encrypted package unit for the user, and feeds back the redemption result to the user terminal (1); S7. The user terminal (1) sends an encryption package unit activation instruction to the cloud server (3); in response to the encryption package unit activation instruction, randomly assigning at least one time-sensitive operation permission from a predefined permission library according to a preset random weight algorithm, activating the assigned operation permission, and associating the activated operation permission with the corresponding user account; S8. The user performs operations using the activated operation authority.

14. The fishing method based on the Internet of Things according to claim 13, characterized in that: The random allocation in step S7 includes: Obtain a time-sensitive operation permission; or obtain an NFT certificate that comes with a time-sensitive operation permission.

15. The fishing method based on the Internet of Things according to claim 14, characterized in that: When the NFT certificate combination held by the user meets the preset rule conditions, the following operations are automatically triggered: calling the NFT combination verification module (38) to compare the NFT certificate identifier under the user's name; if the preset combination is matched, activating the operation permission corresponding to the combination; Push permission to enable notifications.

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