CN114667975A - Auxiliary fishing method based on big data and unmanned aerial vehicle - Google Patents
Auxiliary fishing method based on big data and unmanned aerial vehicle Download PDFInfo
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- CN114667975A CN114667975A CN202210596421.XA CN202210596421A CN114667975A CN 114667975 A CN114667975 A CN 114667975A CN 202210596421 A CN202210596421 A CN 202210596421A CN 114667975 A CN114667975 A CN 114667975A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K79/00—Methods or means of catching fish in bulk not provided for in groups A01K69/00 - A01K77/00, e.g. fish pumps; Detection of fish; Whale fishery
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K79/00—Methods or means of catching fish in bulk not provided for in groups A01K69/00 - A01K77/00, e.g. fish pumps; Detection of fish; Whale fishery
- A01K79/02—Methods or means of catching fish in bulk not provided for in groups A01K69/00 - A01K77/00, e.g. fish pumps; Detection of fish; Whale fishery by electrocution
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING
- B63B35/00—Vessels or similar floating structures specially adapted for specific purposes and not otherwise provided for
- B63B35/14—Fishing vessels
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C39/00—Aircraft not otherwise provided for
- B64C39/02—Aircraft not otherwise provided for characterised by special use
- B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/04—Large scale networks; Deep hierarchical networks
- H04W84/06—Airborne or Satellite Networks
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2101/00—UAVs specially adapted for particular uses or applications
Abstract
The invention relates to the technical field of auxiliary fishing, and discloses an auxiliary fishing method based on big data and an unmanned aerial vehicle. In the actual fishing process, when the fishing boat approaches to the predicted fishing ground, the unmanned aerial vehicle is released to search by taking the predicted fishing ground center O as an origin, and after finding a fish school, the yield can be estimated, tracked and marked, and even the optimal fishing position can be lured by using light or bait, so that the searching efficiency can be improved, the fishing decision can be assisted, the consumption of fuel oil, fresh water, time, energy and the like can be reduced, and the fishing production efficiency and the fishing yield can be effectively improved.
Description
Technical Field
The invention relates to the technical field of auxiliary fishing, in particular to an auxiliary fishing method based on big data and an unmanned aerial vehicle.
Background
With climate change, environmental pollution and resource transitional consumption, various fishing farms in the world decline day by day, which is not similar to that of fisheries such as Japan, America and the like, and the capture amount is improved by means of advanced technologies, although China is listed as the first world and the major fisheries, the research and the initiation in aspects of fish migration law, fishing situation forecasting technology, fishing equipment, intelligent scheduling, ship processing and the like are late, the technology is relatively laggard, the production is relatively rough, and the problems of high energy consumption, low production efficiency, low unit fishing effort and fishing amount and the like exist. Accordingly, those skilled in the art have provided an auxiliary fishing method based on big data and unmanned aerial vehicles to solve the problems set forth in the above background art.
Disclosure of Invention
The invention aims to provide an auxiliary fishing method based on big data and an unmanned aerial vehicle, so as to solve the problems in the background technology.
An auxiliary fishing method based on big data and unmanned aerial vehicles, the auxiliary fishing method comprises an onshore command center, an onboard control center and an unmanned aerial vehicle system, the onshore command center and the onboard control center cooperate, a fishing boat cooperates with the onboard unmanned aerial vehicle to jointly execute a fishing plan, wherein:
the onshore command center adopts a BS and CS mixed framework, combines big data, cloud computing, artificial intelligence and visualization technology, establishes a 'one-picture' system for fishing situation prediction and decision scheduling, and establishes a prediction model by an LED screen, a processor, a cloud server, a satellite phone, a satellite antenna, an AIS antenna, a VHF antenna, comprehensive hydrological data, fish harvest amount statistics, fish population biological indexes and the like;
the shipboard control center consists of shipboard control equipment, a Beidou satellite antenna, a satellite phone, a VHF antenna, an unmanned aerial vehicle ground radio antenna, a fishing situation forecast receiving terminal, a communication terminal and an unmanned aerial vehicle ground station;
the unmanned aerial vehicle system comprises unmanned aerial vehicle, data link, task equipment, transmission recovery unit, wherein:
the task equipment comprises an airborne radio station, an airborne ranging radar, an airborne vision module and the like;
the launching and recovering device comprises an onboard fish spear, a shipboard grating, a self-balancing platform, and electronic and electrical equipment such as a DGPS, an inertial navigation system, a radio station, a lamp set and the like;
the unmanned aerial vehicle data link can adopt a 5G network, radio and satellite mixed link, and can transmit data back based on the 5G or radio link when in offshore and can transmit data back by using the satellite link when in open sea;
the auxiliary fishing method comprises the following steps:
A. by fusing data such as fishing logs of fishing boats, AIS (automatic identification system) of fishing boats, migration habits and routes, marine environment elements of historical fishing farms and the like, combining a satellite remote sensing technology, an artificial intelligence technology and a visualization technology, constructing a one-map system of fishing situation prediction and decision scheduling, realizing business release of data through a Beidou short message technology, and enabling a shipborne terminal to receive the data in real time;
B. marking a central position O point of a fishing ground along the ocean current direction in the actual production process;
C. the shipboard control center controls the unmanned aerial vehicle to take off, quickly drives to the farthest point along the ocean current direction by taking the point O as the center, and performs reverse-flow scanning according to the flight of a Chinese character 'ji' pattern;
D. in the flying process of the unmanned aerial vehicle, the airborne photoelectric pod and the fish finding sonar are used for searching and finding a target fish school, after the fish school is found, the yield can be estimated, the fish school can be tracked, the fish school can be marked, and the optimal fishing position can be induced by airborne lamplight or thrown bait;
E. planning a purse net path and making a fishing plan according to information acquired by the unmanned aerial vehicle, if the number and the weight of the fish school are less than predicted values, controlling a single group of fishing ships to drive to a farthest point measured by the unmanned aerial vehicle to perform single-ship fishing, and if the number and the weight of the fish school are higher than the predicted values, controlling three groups of fishing ships to rapidly drive to three directions relative to ocean current in an equilateral triangle mode along a central position O point to perform three-ship fishing;
F. in the fishing process, the unmanned aerial vehicle can also carry out aerial monitoring and auxiliary scheduling;
G. in addition, unmanned aerial vehicle can also carry on life-saving equipment, carries out maritime search and rescue task.
As a still further scheme of the invention: the unmanned aerial vehicle has ship-based take-off and landing capability, except that the aircraft is provided with an airborne radio station, an airborne distance measuring radar, an airborne vision module, a fish spear and the like, and flight control has higher gesture, position, speed, height and hovering precision, an auxiliary take-off and landing device is required to be arranged on the ship, such as electronic and electrical equipment including DGPS, inertial navigation, a radio station, a lamp set and the like, and mechanical and electrical integrated equipment including a six-foot self-stabilizing platform, a grid and the like.
As a still further scheme of the invention: the unmanned aerial vehicle can carry a photoelectric pod, a fish finding sonar, a tag shooting gun, a variable lamp, a bait scattering device, a throwing device, a lifesaving facility and the like, wherein the photoelectric pod and the fish finding sonar are used for searching fish schools, the tag shooting gun is used for marking targets so as to research migration rules, the variable lamp and the bait scattering device are used for luring the fish schools, the throwing device is used for throwing unmanned ships or bionic unmanned underwater vehicles, and the lifesaving facility is used for emergency rescue.
As a still further scheme of the invention: the fishing mode comprises single-boat fishing and multi-boat fishing, and according to the predicted weight and quantity values of the fish school, if the predicted value is less than or equal to the single-boat capacity, the single-boat fishing mode is adopted, and if the predicted value is more than or equal to the single-boat capacity, the multi-boat fishing mode is adopted.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention is not limited to a forecasting algorithm and a forecasting model, but carries out top-level design from the perspective of a system frame and functions, and is beneficial to promoting the realization of the aim of 'integration of precise detection, efficient fishing and fine and deep processing' of new fishery resources special for blue granaries.
2. According to the invention, by establishing a 'one-picture' system for fishing situation forecasting and decision scheduling, not only can accurate forecasting and fishing situation release be realized, but also auxiliary decision, scheduling command and production monitoring can be carried out according to survey data of the unmanned aerial vehicle; unmanned aerial vehicles are turned to more important strategic levels from bait spreading, hook throwing, illumination and the like in the traditional tactical level to search fish schools, estimate yield, track the fish schools, mark samples and the like; by using the method, the searching efficiency can be improved, the fishing decision can be assisted, the consumption of fuel oil, fresh water, time, energy and the like can be reduced, and the fishing production efficiency and the fishing yield can be effectively improved.
Drawings
Fig. 1 is a schematic structural diagram of an auxiliary fishing method based on big data and unmanned aerial vehicles;
FIG. 2 is a schematic diagram of a fishing process of an auxiliary fishing method based on big data and unmanned aerial vehicles;
fig. 3 is a schematic diagram of a fishing mode of an auxiliary fishing method based on big data and an unmanned aerial vehicle.
Detailed Description
Referring to fig. 1 to 3, in an embodiment of the present invention, an auxiliary fishing method based on big data and an unmanned aerial vehicle includes an onshore command center, an onboard control center, and an unmanned aerial vehicle system, where the onshore command center cooperates with the onboard control center, and a fishing vessel cooperates with the onboard unmanned aerial vehicle to jointly execute a fishing plan, where:
the onshore command center adopts a BS and CS mixed framework, combines big data, cloud computing, artificial intelligence and visualization technology, establishes a 'one-picture' system for fishing situation prediction and decision scheduling, and establishes a prediction model by an LED screen, a processor, a cloud server, a satellite phone, a satellite antenna, an AIS antenna, a VHF antenna, comprehensive hydrological data, fish harvest amount statistics, fish population biological indexes and the like;
the shipboard control center consists of shipboard control equipment, a Beidou satellite antenna, a satellite phone, a VHF antenna, an unmanned aerial vehicle ground radio antenna, a fishing situation forecast receiving terminal, a communication terminal and an unmanned aerial vehicle ground station;
the unmanned aerial vehicle system comprises unmanned aerial vehicle, data link, task equipment, transmission recovery unit, wherein:
the task equipment comprises an airborne radio station, an airborne ranging radar, an airborne vision module and the like;
the launching and recovering device comprises an onboard fish spear, a shipboard grating, a self-balancing platform, and electronic and electrical equipment such as a DGPS, an inertial navigation system, a radio station, a lamp set and the like;
the unmanned aerial vehicle data link can adopt a 5G network, radio and satellite mixed link, and can transmit data back based on the 5G or radio link when in offshore and can transmit data back by using the satellite link when in open sea;
the auxiliary fishing method comprises the following steps:
A. by fusing data such as fishing logs of fishing boats, AIS (automatic identification system) of fishing boats, migration habits and routes, marine environment elements of historical fishing farms and the like, combining a satellite remote sensing technology, an artificial intelligence technology and a visualization technology, constructing a one-map system of fishing situation prediction and decision scheduling, realizing business release of data through a Beidou short message technology, and enabling a shipborne terminal to receive the data in real time;
B. marking a central position O point of a fishing ground along the ocean current direction in the actual production process;
C. the shipboard control center controls the unmanned aerial vehicle to take off, quickly drives to the farthest point along the ocean current direction by taking the point O as the center, and flies and carries out countercurrent scanning according to a Chinese character 'ji' pattern;
D. in the flying process of the unmanned aerial vehicle, the airborne photoelectric pod and the fish finding sonar are used for searching and finding a target fish school, after the fish school is found, the yield can be estimated, the fish school can be tracked, the fish school can be marked, and the optimal fishing position can be induced by airborne lamplight or thrown bait;
E. planning a purse net path and making a fishing plan according to information acquired by the unmanned aerial vehicle, if the number and the weight of the fish school are less than predicted values, controlling a single group of fishing ships to drive to a farthest point measured by the unmanned aerial vehicle to perform single-ship fishing, and if the number and the weight of the fish school are higher than the predicted values, controlling three groups of fishing ships to rapidly drive to three directions relative to ocean current in an equilateral triangle mode along a central position O point to perform three-ship fishing;
F. in the fishing process, the unmanned aerial vehicle can also carry out aerial monitoring and auxiliary scheduling;
G. in addition, unmanned aerial vehicle can also carry on life-saving equipment, carries out maritime search and rescue task.
Unmanned aerial vehicle possesses the ship-borne ability of taking off and land, is equipped with airborne radio station, airborne range finding radar, airborne vision module, harpoon etc. except that the aircraft to and the flight control possesses higher gesture, position, speed, height and precision of hovering, still need lay supplementary take off and land device on the ship, like DGPS, be used to lead electronic and electrical equipment such as, radio station, banks, and six-legged self-stabilization platform, electromechanical integrative equipment such as grid.
The unmanned aerial vehicle can carry a photoelectric pod, a fish finding sonar, a tag shooting gun, a variable lamp, a bait sprayer, a throwing device, a lifesaving facility and the like, wherein the photoelectric pod and the fish finding sonar are used for searching fish schools, the tag shooting gun is used for marking targets so as to research the migration law, the variable lamp and the bait sprayer are used for luring the fish schools, the throwing device is used for throwing unmanned ships or bionic unmanned underwater vehicles, and the lifesaving facility is used for emergency rescue.
The fishing mode is divided into single-boat fishing and multi-boat fishing, according to the predicted weight and quantity value of the fish school, if the predicted value is less than or equal to the single-boat capacity, the single-boat fishing mode is adopted, and if the predicted value is more than or equal to the single-boat capacity, the multi-boat fishing mode is adopted;
according to the prediction of the unmanned aerial vehicle, the fishing process of the fishing boat is as follows:
s1, predicting the weight and the quantity value of the fish school by the unmanned aerial vehicle according to the laser imaging;
s2, if the predicted value is larger than or equal to the single-ship capacity, coordinating A, B, C three ships to scatter in an equilateral triangle mode by marking a central position O point of a fishing ground, enabling the three ships to continuously approach the central position O point, and then throwing the unmanned ship to drag the auxiliary net to another ship by using an unmanned aerial vehicle when the side length of the triangle of the three ships is smaller than the length of the auxiliary net, wherein the three ships are connected through the head of the auxiliary net for blocking;
s3, if the predicted value is less than or equal to the single-ship capacity, coordinating the single ship to drive to the farthest point along the ocean current direction in a single-ship capture mode;
s4, according to the fishing time point, when the fish is in the daytime, the fish is lured by throwing the fluorescent rod, and when the fish is at night, the fish is lured by utilizing light;
s5, when the distance between the fishing boat and the center of the fish school is more than 500m, baits such as sardines and the like can be thrown by using the unmanned aerial vehicle for luring, and when the distance between the fishing boat and the center of the fish school is less than 500m, the unmanned aerial vehicle is released, and the purse seine is towed;
and S6, driving the ship to be fished to a central point O, and collecting the net by the fishing ship.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.
Claims (4)
1. An auxiliary fishing method based on big data and unmanned aerial vehicles is characterized in that the auxiliary fishing method is composed of an onshore command center, an shipboard control center and an unmanned aerial vehicle system, the onshore command center is cooperated with the shipboard control center, a fishing ship is cooperated with the shipboard unmanned aerial vehicle to jointly execute a fishing plan, wherein:
the onshore command center adopts a BS and CS mixed framework, combines big data, cloud computing, artificial intelligence and visualization technology, establishes a 'one-picture' system for fishing situation prediction and decision scheduling, and establishes a prediction model by integrating hydrological data, fish harvest statistics and fish population biological indexes through an LED screen, a processor, a cloud server, a satellite phone, a satellite antenna, an AIS antenna and a VHF antenna;
the shipboard control center consists of shipboard control equipment, a Beidou satellite antenna, a satellite phone, a VHF antenna, an unmanned aerial vehicle ground radio antenna, a fishing situation forecast receiving terminal, a communication terminal and an unmanned aerial vehicle ground station;
the unmanned aerial vehicle system comprises unmanned aerial vehicle, data link, task equipment, transmission recovery unit, wherein:
the task equipment comprises an airborne radio station, an airborne ranging radar and an airborne vision module;
the launching and recovering device comprises an onboard fish spear, a shipboard grating, a self-balancing platform, DGPS (differential global positioning system), inertial navigation, a radio station and lamp set electronic and electrical equipment;
the unmanned aerial vehicle data link adopts a 5G or radio link to return data when the unmanned aerial vehicle is in the offshore environment, and adopts a satellite link to return data when the unmanned aerial vehicle is in the open sea;
the auxiliary fishing method comprises the following steps:
A. by fusing fishing log of a fishing boat, AIS of the fishing boat in the past, migration habit and route, and element data of marine environment of a historical fishing ground, combining a satellite remote sensing technology, an artificial intelligence technology and a visualization technology, a one-map system of fishing situation prediction and decision scheduling is constructed, and by a Beidou short message technology, the business release of data is realized, and the shipborne terminal can receive the data in real time;
B. marking a central position O point of a fishing ground along the ocean current direction in the actual production process;
C. the shipboard control center controls the unmanned aerial vehicle to take off, quickly drives to the farthest point along the ocean current direction by taking the point O as the center, and flies and carries out countercurrent scanning according to a Chinese character 'ji' pattern;
D. in the flying process of the unmanned aerial vehicle, the airborne photoelectric pod and the fish finding sonar are used for searching and finding a target fish school, after the fish school is found, the yield can be estimated, the fish school can be tracked, the fish school can be marked, and the optimal fishing position can be induced by airborne lamplight or thrown bait;
E. planning a purse net path and making a fishing plan according to information acquired by the unmanned aerial vehicle, if the number and the weight of the fish school are less than predicted values, controlling a single group of fishing ships to drive to a farthest point measured by the unmanned aerial vehicle to perform single-ship fishing, and if the number and the weight of the fish school are higher than the predicted values, controlling three groups of fishing ships to rapidly drive to three directions relative to ocean current in an equilateral triangle mode along a central position O point to perform three-ship fishing;
F. in the fishing process, the unmanned aerial vehicle can also carry out aerial monitoring and auxiliary scheduling;
G. in addition, unmanned aerial vehicle can also carry on life-saving equipment, carries out maritime search and rescue task.
2. The big data and unmanned aerial vehicle-based auxiliary fishing method according to claim 1, wherein the unmanned aerial vehicle has a ship-based take-off and landing capability, and besides an onboard radio station, an onboard distance measuring radar, an onboard vision module, a fish fork and stable attitude, position, speed, height and hovering precision of flight control, an auxiliary take-off and landing device is required to be arranged on the ship and comprises DGPS, inertial navigation, radio station, lamp group electronic and electrical equipment, a six-foot self-stabilizing platform and a grid electromechanical integrated device.
3. The big data and unmanned aerial vehicle-based auxiliary fishing method according to claim 1, wherein the unmanned aerial vehicle can carry photoelectric pod, fish finding sonar, tag shooting gun, variable lamp, bait thrower, throwing device and lifesaving device, wherein the photoelectric pod and fish finding sonar are used for searching fish school, the tag shooting gun is used for marking target so as to research migration law, the variable lamp and bait thrower are used for luring fish school, the throwing device is used for throwing unmanned ship or bionic unmanned submersible, and the lifesaving device is used for emergency rescue.
4. The big data and unmanned aerial vehicle-based auxiliary fishing method according to claim 1, wherein the auxiliary fishing method is divided into single-ship fishing and multi-ship fishing, and according to the predicted weight and quantity value of the fish school, if the predicted value is less than or equal to the single-ship capacity, the single-ship fishing mode is adopted, and if the predicted value is greater than or equal to the single-ship capacity, the multi-ship fishing mode is adopted.
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