A dynamic fishing method and system based on digital fishery

Abstract

The present invention relates to the field of intelligent maritime navigation, and aims to provide a dynamic fishing method and system based on digital fisheries, wherein a transaction end of the method establishes a pre-sale interface of aquatic products according to the historical fishing strategy; a first fishing strategy is dynamically updated according to the order of the pre-sale interface; the first fishing strategy comprises the following steps: S21: acquiring characteristic parameters in the order dynamics, and converting the characteristic parameters into fishing parameters; S22: associating the quantitative proportional relationship between the fishing parameters with the first fishing strategy; S23: determining the fishing path of a new cycle of the fleet according to the first fishing strategy, specifying the fishing path and formation through the number and scale of fishing boats in the fleet, completing directional fishing, and arranging the fishing boats with the best distance and position to return to the shore after each round of fishing, and performing security inspection on priority batches to complete logistics distribution.

Description

Technical Field

[0001] The present invention relates to the field of intelligent marine navigation technology, and in particular to a dynamic fishing method and system based on digital fisheries. Background Art

[0002] The current fishery product push platforms all implement the principle of on-site catching and distribution, relying on the fishing boat side. That is, once the fishing boat has a catch at sea, it will be published on the platform as soon as possible for users to view. After the fishing boat goes ashore, it will be sorted and dispatched to the designated location as soon as possible. However, since aquatic products currently need to undergo a series of inspections after arriving at the shore and can only be shipped after passing security checks, the traditional fishing strategy of unified departure and unified return to shore will greatly delay the time for aquatic products to reach users.

[0003] When a boat is sailing, fishermen usually plan the route based on their previous driving experience. The existing ocean current and weather forecast systems can help fishermen better combine machines to plan the optimal route. However, the existing navigation plan considers only one factor, that is, only the ocean current factor.

[0004] The existing authorized patent CN110779526B, the patent name is a path planning method, device and storage medium, the invention embodiment discloses a path planning method, device and storage medium, wherein the method includes: obtaining the current position and target position of the ship; based on the obtained current position and target position, determining at least one path for the ship to move from the current position to the target position; processing the at least one path according to the prediction model to obtain the comprehensive influence parameter of each path in the at least one path; the comprehensive influence parameter is used to characterize the sum of the values ​​corresponding to each of the at least one influence parameter affecting the movement of the ship; based on the comprehensive influence parameter of each path, determining the path to be moved of the ship. The path planning of the above patent changes according to the changes in the marine environment, but in order to better meet the user's purchasing needs at the time, the path planning and fishing strategy of the ship are in dynamic adjustment.

[0005] Therefore, a method is needed to plan the direction of the boat and the fishing strategy in accordance with the purchasing needs of the user. Summary of the invention

[0006] The purpose of the present invention is to overcome the shortcomings of the existing technology and to carry out targeted fishing of fishery products by predicting users' preferences for purchasing aquatic products. After receiving the demand for fishing aquatic products, the fleet explores the aquatic product clusters through modern instruments, and specifies the fishing path and formation according to the number and size of fishing boats in the fleet to complete targeted fishing. After each round of fishing, the fishing boat with the best distance and position is arranged to return to the shore, and priority batches are subjected to security inspection to complete logistics distribution.

[0007] This is specifically achieved through the following technical solutions: On the one hand, a dynamic fishing method based on digital fisheries, where the transaction end establishes a pre-sale interface for aquatic products according to the historical fishing strategy;

[0008] Dynamically update the first fishing strategy according to the order of the pre-sale interface;

[0009] The fishing path of the at least one fishing boat is changed according to the first fishing strategy.

[0010] Furthermore, the first fishing strategy comprises the following steps:

[0011] S21: Acquire characteristic parameters in the order dynamics, and convert the characteristic parameters into fishing parameters;

[0012] S22: Associating the quantitative proportional relationship between the fishing parameters with the first fishing strategy;

[0013] S23: Determine a new fishing route for the fleet according to the first fishing strategy.

[0014] Furthermore, at least one fishing boat in the fleet as a main fishing boat comprises a satellite receiving unit for receiving the transaction end order dynamics and the first fishing strategy, and each fishing boat in the fleet receives the second fishing strategy sent by the main fishing boat to adjust the fishing path and fishing range.

[0015] Furthermore, the second fishing strategy comprises the following steps:

[0016] S41: the main fishing vessel determines a new round of fishing cycle and fishing paths of each fishing vessel in the fleet through a first fishing strategy;

[0017] S42: After each fishing vessel obtains aquatic products according to the fishing route, the return route of the vessel carrying the catch is designated in combination with the fishing cycle;

[0018] S43: Renumber the fishing vessels in the fleet and complete the second fishing strategy for a new cycle.

[0019] On the other hand, a dynamic fishing system based on digital fishery includes a trading platform unit, a remote communication unit and an execution unit.

[0020] The trading platform unit is used to publish aquatic information and collect aquatic demand orders, determine the expected value of aquatic fishing, and send a first fishing strategy;

[0021] The remote communication unit sends the expected value of aquatic fishing, the demand order and the first fishing strategy to the execution unit via satellite communication;

[0022] The execution unit formulates a second fishing strategy according to the number of existing fishing boats and distributes it to each numbered fishing boat through wireless communication. The fishing boats execute the fishing route and transport the aquatic products to the returning fishing boats to complete a round of fishing cycle.

[0023] Furthermore, each fishing boat in the fleet is equipped with a wireless router, and the fishing boats communicate with each other through the wireless router.

[0024] Furthermore, the fishing boat also includes a satellite communication antenna and a satellite modem, and the wireless router is connected to the satellite communication antenna via the satellite modem. The satellite communication antenna and satellite modem on the main fishing boat are shared within the fleet.

[0025] Furthermore, the trading platform aggregates aquatic product demand orders within a first period, and the execution unit arranges the fleet to complete a round of fishing, and the first period is proportional to the round of fishing.

[0026] Furthermore, the fishing boats in the fleet are all equipped with different fishing tools, fishing baits and sonars, and the sonars are used to obtain the location coordinates of aquatic products.

[0027] Furthermore, when the fishing boats are executing the second fishing strategy, the positions between the fishing boats are smaller than the maximum communication distance of the wireless routers.

[0028] The beneficial effects of the present invention are:

[0029] (1) Guided by the trading platform, the fishing strategy is determined by obtaining trading order requirements in a periodic manner, and the fishing boats return to the shore in batches within the time specified by the trading order, giving priority to catch inspection;

[0030] (2) Directed fishing of fishing schools, allocating vessels according to the size of the fish schools, and rationally arranging the fishing routes of each vessel in the fleet. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] FIG1 is a schematic diagram of the working principle of one embodiment of the present invention;

[0032] FIG. 2 is a schematic diagram of a second fishing strategy in one embodiment of the present invention.

[0033] Explanation of the reference numerals: 100, fishing boat; 101, communication radiation range of the router; 102, aquatic product cluster to be caught; 103, warehouse; 104, fishing boat returning to the shore; 105, router. DETAILED DESCRIPTION

[0034] Below in conjunction with the appended Figure 1~2, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of this application.

[0035] Existing maritime communications are roughly composed of three parts: satellite communication antennas, satellite modems, and customized wireless routers. Since the area covered by wireless routers is too limited, fleets that need to go out to sea to fish often need satellites as a medium for communication transmission to transfer fishing dynamics at sea, including video, audio, pictures, text information, etc. to trading platforms on shore.

[0036] Embodiment 1:

[0037] The method that can be implemented in this embodiment includes:

[0038] The transaction end establishes a pre-sale interface for aquatic products according to the historical fishing strategy;

[0039] Dynamically update the first fishing strategy according to the order of the pre-sale interface;

[0040] The fishing path of the at least one fishing boat is changed according to the first fishing strategy.

[0041] Based on the types and catalogues of aquatic products caught by experienced fishing teams in previous years during this season, combined with the historical purchasing needs of users at the transaction end, a pre-sale interface for aquatic products is established, in which the pre-sale interface summarizes the order dynamics within a time period. After obtaining the fishing demand for aquatic products, the first fishing strategy is sent to the main ship on the fleet via satellite. The first fishing strategy includes the fishing cycle, fishing parameters, i.e., the types of aquatic products, etc. The fishing cycle is associated with the user's order demand time and the distance of the fleet from the shore. If the order demand time of a large number of users is short and the fleet is far from the shore, then in the first strategy, the fishing cycle must not be long, as follows:

[0042]

[0043] In the formula, is the order demand time aggregated within the time period, is the time taken by the returning fishing boats to return to the shore, X is the distance between the fleet and the shore, v is the average sailing speed of the returning fishing boats, is the fishing cycle in the first fishing strategy, is the delivery time, which includes the screening and inspection time. Specifically, the order demand time for 300 sea fishes aggregated within 2 hours is 36 hours, that is, 36 hours is the latest logistics delivery time promised to users. Therefore, by obtaining the order demand time, the fishing cycle is determined. It is worth noting that the size of the fleet is related to the time period of order aggregation. The larger the fleet, the shorter the time period of order aggregation. The size of the fleet includes the number of ships, the specifications of the ships, the number of fishing tools equipped on the ships, etc.

[0044] Wherein, the first fishing strategy comprises the following steps:

[0045] S21: Acquire characteristic parameters in the order dynamics, and convert the characteristic parameters into fishing parameters, wherein the characteristic parameters include the type of aquatic product demand, the amount of aquatic product demand, the collection cycle of the order dynamics, and the earliest delivery time of the user in the order dynamics, and the fishing parameters include the fishing cycle and the amount of aquatic product demand;

[0046] S22: Associating the quantitative proportional relationship between the fishing parameters with the first fishing strategy, wherein the first fishing strategy includes a fishing cycle The solution of

[0047] S23: Determine a new fishing route for the fleet according to the first fishing strategy, specifically including searching for fish schools in the sea area through visual fish finders installed on fishing boats, and communicating the search results with fishing boats in the fleet.

[0048] It is worth mentioning that the visual fish finder includes but is not limited to a display, a fish detection unit (mackerel or tuna, etc.), an echo target locking unit, a transmitter (PDM half bridge), a beam amplification unit, a fully digital beam scanning unit, etc.

[0049] Please refer to Figure 1 The dotted line in the figure is the communication radiation radius 101 of the router. The communication between the fleets needs to be within the communication range of both parties. The specific radiation radius is proportional to the communication power of the router configured on the fishing boat 100. Usually, the router 105 is installed in the center of the hull.

[0050] To sum up, the original fishing strategy cannot meet the current users' demand for fresh seafood. The traditional fishing strategy adopts a unified departure and unified return to shore fishing strategy, but now all seafood caught needs to undergo various tests. Therefore, in order to shorten the overall fishing cycle, a pre-sale order-linked fishing strategy is adopted, and the order demand is quantified to obtain a specific delivery time, and then the fishing time is determined, and the return to the shore is achieved in batches. After the aquatic products are placed in the warehouse 103, they are directly tested or sampled, shortening the time and progress of the delivery of aquatic products to users. This embodiment also includes feedback of the path of the returning fishing boat 104 to the transaction end, so as to achieve online visual tracking of the aquatic products from fishing to delivery.

[0051] Embodiment 2:

[0052] Please refer to Figure 1 Based on Example 1, in this example, when the fleet is fishing, in order to quickly capture the fish school during the fishing cycle.

[0053] At least one fishing boat in the fleet as the main fishing boat comprises a satellite receiving unit for receiving the transaction end order dynamics and the first fishing strategy. Each fishing boat in the fleet receives the second fishing strategy sent by the main fishing boat to adjust the fishing path and fishing range. The second fishing strategy comprises the following steps:

[0054] S41: The main fishing vessel determines a new round of fishing cycle and fishing paths of each fishing vessel in the fleet through the first fishing strategy, specifically including the fishing cycle in the first fishing strategy and the demand for aquatic products, determine the number of vessels in the fleet to carry out fishing;

[0055] S42: After each fishing vessel obtains aquatic products according to the fishing route, the return route of the vessel carrying the fish is specified in combination with the fishing cycle, specifically including obtaining the position coordinates and depth of the aquatic product cluster around the fleet through a visual fish school detector, and arranging multiple numbered vessels close to the aquatic product cluster 102 to be fished as the fishing vessels for this time according to the number of fishing vessels 100 in the first fishing strategy, and reaching the aquatic product cluster 102 to be fished, wherein during fishing, the distance between each vessel cannot be greater than the sum of the communication radius of the routers on the fishing vessel;

[0056] S43: Renumber the fishing boats in the fleet to complete the second fishing strategy of a new cycle. Specifically, after the fishing cycle, the boat farthest from the shore (the returning fishing boat 104) passes by the fishing boats in turn, collects the aquatic products, and returns to the shore. The remaining boats are renumbered with the boats in this fishing operation and wait for the next fishing operation.

[0057] It is worth noting that the distance between each fishing boat is between R m and R 0Between, where R m is the minimum safe driving distance between ships, R 0 It is the sum of the maximum radiation radius of the router 105 communication between the two fishing boats.

[0058] Please refer to Figure 2 , is an exemplary fishing queue in this embodiment, where R 0 is the sum of the maximum radiation radius between fishing vessels (ships), that is Figure 2 200, R m is the minimum safe driving distance between ships. Figure 2 In 203, when the radius of the aquatic product cluster 102 to be caught is m 2 Right now Figure 2 204 can be obtained by detection equipment equipped with infrared sensors such as sonar. According to the iso-product deformation of the function, when the number of ships is large enough, the sum of the radiation radius between the fishing boats (ships) R 0 The accumulation will be infinitely close Figure 2 The circle 205 with the largest area is also the fishing radius in this embodiment, so

[0059] Given the area of ​​the fish school, find the number of fishing boats y.

[0060]

[0061] Please refer to Figure 2 , the mean of the sum of the maximum radiation radii between fishing vessels (ships) is set to R 0 , The area to be solved is approximately 202 in the figure. The area to be solved is approximately 205 in the figure. Through the above interval, according to the approximate area of ​​the fish school detected, the number of fishing boats in the second fishing strategy, that is, the value of y, is obtained. According to the fishing cycle Sure The minimum value of

[0062]

[0063] In the formula, is the time taken by the fishing boat to reach the target fishing group 102 after receiving the second fishing strategy, and v is the average speed of the fishing boat when fishing. It is the distance travelled by fishing vessels from their largest formation when surrounding a fishing vessel to the end of the fishing cycle.

[0064] In summary, by obtaining the size of the fish school and allocating fishing vessels, aquatic products are obtained in a targeted manner. Traditional fishing is a centralized fishing operation by the fleet, or the individual fishing vessels in the fleet fish in a dispersed manner, resulting in a single and mixed aquatic product being finally caught, which greatly wastes the sorting cycle after landing, and the number of aquatic products loaded on the vessels also varies greatly. When it comes to the fixed time to return to the shore, the fully loaded vessels are forced to spend more time waiting, and the less loaded vessels cannot return with a full load. Therefore, this embodiment overcomes the above problems, achieves unified demand acquisition, and targeted fishing.

[0065] Embodiment 3:

[0066] This embodiment takes a dynamic fishing system based on digital fishery as an example. The system includes a trading platform unit, a remote communication unit and an execution unit.

[0067] The trading platform unit is used to publish aquatic information and collect aquatic demand orders, determine the expected value of aquatic fishing, and send a first fishing strategy;

[0068] The remote communication unit sends the expected value of aquatic fishing, the demand order and the first fishing strategy to the execution unit via satellite communication;

[0069] The execution unit formulates a second fishing strategy based on the number of existing fishing boats and distributes it to each numbered fishing boat through wireless communication. The fishing boat executes the fishing route and transports the aquatic products to the fishing boat returning to the shore to complete a round of fishing. It is worth noting that the fishing boat returning to the shore should be loaded with fishery products as much as possible, and due to its return voyage, the comprehensive oil volume and time, the fishing boat farthest from the shore will pass by the operating boats during fishing in turn, collect the aquatic products and return to the shore.

[0070] The fishing dynamics of each fishing boat within the network radiation range of the uploading unit are collected, and the fishing dynamics include fish species parameters, quantity parameters and time parameters.

[0071] The trading platform aggregates aquatic product demand orders within a first period, and the execution unit arranges the fleet to complete a round of fishing, wherein the first period is directly proportional to the round of fishing.

[0072] The value of the first period is associated with a round of fishing and the fishing strategy of the fleet, so this embodiment determines the association by specifically analyzing the distance.

[0073] The analysis unit extracts and calculates the characteristics of the received fishing dynamics to obtain the network transmission performance value of the upload unit. The fishing boat also includes a satellite communication antenna and a satellite modem, and the upload unit is connected to the satellite communication antenna through the satellite modem in turn. All fishing boats in the cluster share one satellite communication antenna and satellite modem.

[0074] When the fishing boats execute the second fishing strategy, the positions between the fishing boats are smaller than the maximum communication distance of the wireless routers, that is, R in Example 2. 0 ,

[0075] In summary, this embodiment overcomes the shortcomings of traditional single sea fishing and scattered fishing by formulating a fishing strategy for fish schools, uniformly plans the fishing routes of various vessels, catches aquatic products in the fastest way and delivers them to the shore warehouse, leaving sufficient time for quarantine inspection of aquatic products. Since the aquatic products are not left at sea for a long time, the freshness of the aquatic products is ensured during the entire distribution process.

[0076] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0077] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0078] The features disclosed in several product embodiments provided in this application can be arbitrarily combined without conflict to obtain new product embodiments.

[0079] The features disclosed in several method or device embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0080] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A dynamic fishing method based on digital fishery, characterized in that: The trading end establishes a pre-sale interface for aquatic products according to historical fishing strategies; Dynamically update the first fishing strategy according to the order of the pre-sale interface; The method comprises changing the fishing path of at least one fishing boat according to a first fishing strategy; wherein the first fishing strategy comprises the following steps: S21: Acquire characteristic parameters in the order dynamics, and convert the characteristic parameters into fishing parameters; S22: Associating the quantitative proportional relationship between the fishing parameters with the first fishing strategy; S23: determining a fishing route for a new cycle of the fleet according to the first fishing strategy; At least one fishing boat in the fleet as the main fishing boat comprises a satellite receiving unit for receiving the transaction end order dynamics and the first fishing strategy, and each fishing boat in the fleet receives the second fishing strategy sent by the main fishing boat to adjust the fishing path and fishing range; The second fishing strategy comprises the following steps: S41: the main fishing vessel determines a new round of fishing cycle and fishing paths of each fishing vessel in the fleet through a first fishing strategy; S42: After each fishing vessel obtains aquatic products according to the fishing route, the return route of the vessel carrying the catch is designated in combination with the fishing cycle; S43: Renumber the fishing vessels in the fleet and complete the second fishing strategy for a new cycle.

2. A dynamic fishing system based on digital fishery, characterized in that: The system includes a trading platform unit, a remote communication unit and an execution unit. The trading platform unit is used to publish aquatic information and collect aquatic demand orders, determine the expected value of aquatic fishing, and send a first fishing strategy; The remote communication unit sends the expected value of aquatic fishing, the demand order and the first fishing strategy to the execution unit via satellite communication; The execution unit formulates a second fishing strategy based on the number of existing fishing boats and distributes it to each numbered fishing boat through wireless communication. The fishing boat executes the fishing route and transports the aquatic products to the returning fishing boat to complete a round of fishing cycle, wherein the first fishing strategy includes the following steps: S21: Acquire characteristic parameters in the order dynamics, and convert the characteristic parameters into fishing parameters; S22: Associating the quantitative proportional relationship between the fishing parameters with the first fishing strategy; S23: determining a fishing route for a new cycle of the fleet according to the first fishing strategy; At least one fishing boat in the fleet as the main fishing boat comprises a satellite receiving unit for receiving the transaction end order dynamics and the first fishing strategy, and each fishing boat in the fleet receives the second fishing strategy sent by the main fishing boat to adjust the fishing path and fishing range; The second fishing strategy comprises the following steps: S41: the main fishing vessel determines a new round of fishing cycle and fishing paths of each fishing vessel in the fleet through a first fishing strategy; S42: After each fishing vessel obtains aquatic products according to the fishing route, the return route of the vessel carrying the catch is designated in combination with the fishing cycle; S43: Renumber the fishing vessels in the fleet and complete the second fishing strategy for a new cycle.

3. A dynamic fishing system based on digital fishery according to claim 2, characterized in that: Each fishing boat in the fleet is equipped with a wireless router, and the fishing boats communicate with each other through the wireless router.

4. A dynamic fishing system based on digital fishery according to claim 3, characterized in that: The fishing boat also includes a satellite communication antenna and a satellite modem. The wireless router is connected to the satellite communication antenna via the satellite modem. The satellite communication antenna and satellite modem on the main fishing boat are shared within the fleet.

5. A dynamic fishing system based on digital fishery according to claim 4, characterized in that: The trading platform aggregates aquatic product demand orders within a first period, and the execution unit arranges the fleet to complete a round of fishing, wherein the first period is directly proportional to the round of fishing.

6. A dynamic fishing system based on digital fishery according to claim 2, characterized in that: The fishing vessels in the fleet are all equipped with different fishing tools, fishing baits and fish detection equipment, and the fish detection equipment is used to obtain the location coordinates and depth of aquatic products.

7. A dynamic fishing system based on digital fishery according to claim 2, characterized in that: When the fishing boats are executing the second fishing strategy, the positions between the fishing boats are smaller than the maximum communication distance of the wireless routers.

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