Core performance matching management method and system of multifunctional cultivation auxiliary ship

Abstract

The invention relates to the field of performance management, and discloses a core performance matching management method and system for a multifunctional cultivation auxiliary ship, and the method comprises the following steps: carrying out the parameter combination analysis of the multifunctional cultivation auxiliary ship and a navigation water area through an A * algorithm, and generating a target route, and sailing stability test and optimization are carried out on the multifunctional breeding auxiliary ship through the simulation model. And controlling the stability-optimized multifunctional breeding auxiliary ship to sail along the target route, and performing feeding function and power performance matching on the multifunctional breeding auxiliary ship based on the water quality parameters of the water area during sailing. According to the invention, various core performances of the multifunctional breeding auxiliary ship can be analyzed and matched, performance matching can be carried out on the various core performances based on the analysis result, after core performance matching, the operation efficiency can be improved, manual intervention can be reduced, the operation cost can be reduced, and meanwhile, the working safety and stability of the multifunctional breeding auxiliary ship can be improved.

Description

Technical Field

[0001] The present invention relates to the field of performance management, and in particular to a core performance matching management method and system for a multifunctional aquaculture auxiliary vessel. Background Art

[0002] A multifunctional aquaculture support vessel is a vessel specially designed to support marine or freshwater aquaculture activities. It can perform a range of tasks, including but not limited to feed transportation and feeding, maintenance of aquaculture equipment and facilities, monitoring and management of fish and other marine life, waste disposal, etc. Its core performance includes rapidity, seakeeping, maneuverability, etc. Matching management between core performances refers to ensuring that the multifunctional aquaculture support vessel achieves the best balance between rapidity, seakeeping and maneuverability through optimized design and comprehensive management. Among them, core performance matching includes adjusting the speed of the multifunctional aquaculture support vessel under different conditions, adjusting the stability and anti-turbulence of the vessel under different sea conditions, etc. After the core performance matching, it can improve the operation efficiency, reduce manual intervention, reduce operating costs, ensure that the vessel maintains good stability and maneuverability under different sea conditions, ensure the safety of crew and equipment, and prevent and quickly respond to emergencies to reduce the risk of accidents. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a core performance matching management method and system for a multifunctional aquaculture auxiliary vessel.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a core performance matching management method for a multifunctional aquaculture auxiliary vessel, comprising the following steps:

[0006] Combine and analyze the specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters, and introduce the A* algorithm to generate a target route based on the combined analysis results;

[0007] The navigation stability of the target aquaculture auxiliary vessel is tested through the simulation model, and the navigation stability of the target aquaculture auxiliary vessel is optimized based on the test results;

[0008] During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result.

[0009] Furthermore, in a preferred embodiment of the present invention, the specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters are combined and analyzed, and based on the combined analysis results, the A* algorithm is introduced to generate the target route, specifically:

[0010] The multifunctional aquaculture auxiliary ship that needs to be managed for core performance matching is calibrated as a target aquaculture auxiliary ship, and specification parameters of the target aquaculture auxiliary ship are obtained, where the specification parameters of the target aquaculture auxiliary ship include the volume, empty weight, displacement and maximum cargo weight of the target aquaculture auxiliary ship;

[0011] The waters where the target aquaculture auxiliary ship is sailing are marked as target waters, and water parameters of the target waters are obtained, wherein the water parameters of the target waters include the water depth of each point in the target waters and the distribution range of the target waters, and the meteorological parameters of each point in the target waters are obtained;

[0012] A deep learning network is introduced, and based on the deep learning network, the specification parameters of the target aquaculture auxiliary ship, the water parameters of the target waters, and the meteorological parameters of each point in the target waters are combined and analyzed to obtain the prohibited points for the target aquaculture auxiliary ship in the target waters;

[0013] Determine the starting point, the point to be navigated, and the end point of the target aquaculture auxiliary ship in the target waters, introduce the A* algorithm, construct an A* algorithm basic model based on the A* algorithm, and construct a starting point node, a navigation node, and an end point node in the A* algorithm basic model according to the starting point, the point to be navigated, and the end point of the target aquaculture auxiliary ship;

[0014] In the A* algorithm training model, the prohibited points for the target aquaculture auxiliary vessels in the target waters are marked and defined as prohibited nodes;

[0015] Importing the water area parameters of the target water area into the A* algorithm basic model for model training to obtain an A* algorithm training model, wherein the A* algorithm training model has multiple nodes, wherein a node represents a point in the target water area;

[0016] Run the A* algorithm training model to generate all node routes connecting the starting node, the navigation node and the terminal node, mark them as the node routes to be analyzed, and screen out the node routes to be analyzed with prohibited nodes to obtain the node routes to be analyzed without prohibited nodes, which are marked as the first-class node routes;

[0017] The route lengths of all first-class node routes are calculated, the first-class node route with the shortest route length is selected for output, the target node route is obtained, and the route corresponding to the target node route in the target waters is marked as the target route.

[0018] Furthermore, in a preferred embodiment of the present invention, the navigation stability test of the target aquaculture auxiliary ship is performed by using a simulation model, and the navigation stability of the target aquaculture auxiliary ship is optimized based on the navigation stability test result, specifically:

[0019] Acquire simulation modeling software, import specification data of the target aquaculture auxiliary ship into the simulation modeling software, construct a simulation model of the target aquaculture auxiliary ship, and calibrate it as the simulation model of the target aquaculture auxiliary ship;

[0020] Acquire a big data network, and retrieve all sea conditions that may occur in the target waters based on water parameters of the target waters in the big data network, and mark them as a type of sea condition;

[0021] Constructing a navigation simulation system, wherein the navigation simulation system can control the simulation model of the target aquaculture auxiliary ship to perform simulated navigation based on the target route and withstand different types of sea conditions during the simulated navigation;

[0022] Running the navigation simulation system to test the shaking amplitude of the target aquaculture auxiliary ship simulation model during simulated navigation under different sea conditions, and calibrating it as the navigation shaking amplitude;

[0023] The dangerous shaking amplitude is preset. During the operation of the navigation simulation system, if the navigation shaking amplitude of the simulation model of the target aquaculture support ship under all the first-class sea conditions is smaller than the dangerous shaking amplitude, the target aquaculture support ship is evaluated as an aquaculture support ship with qualified navigation stability;

[0024] If the navigation shaking amplitude of the simulation model of the target aquaculture auxiliary ship under a certain sea condition is greater than the dangerous shaking amplitude, the target aquaculture auxiliary ship is evaluated as an aquaculture auxiliary ship with unqualified navigation stability, and the corresponding sea condition is calibrated as a dangerous sea condition;

[0025] Conduct stress analysis on structural components of aquaculture auxiliary ships with unqualified navigation stability, and optimize the stability of aquaculture auxiliary ships with unqualified navigation stability based on the results of stress analysis on structural components.

[0026] Further, in a preferred embodiment of the present invention, the structural component stress analysis is performed on the aquaculture auxiliary ship with unqualified navigation stability, and the stability of the aquaculture auxiliary ship with unqualified navigation stability is optimized based on the structural component stress analysis results, specifically:

[0027] Obtaining hull structural components of aquaculture auxiliary vessels with unqualified navigation stability, wherein the hull structural components include a deck, a keel, and a bulkhead;

[0028] The simulation model of the aquaculture auxiliary ship with unqualified navigation stability is calibrated as a type of simulation model, and the hull structure components are marked in the type of simulation model to obtain a simulation model of the hull structure components;

[0029] Running a navigation simulation system, and testing, by means of the navigation simulation system, stress values ​​of various regions on the simulation model of the hull structure components when the navigation shaking amplitude of the simulation model of the target aquaculture auxiliary ship is greater than the dangerous shaking amplitude;

[0030] Based on the dangerous shaking amplitude, the maximum tolerable stress value of each area on the simulation model of the hull structure component is calculated and calibrated as the dangerous stress value, and the area with a stress value greater than the dangerous stress value on the simulation model of the hull structure component is calibrated as the model stress abnormality area;

[0031] On the simulation model of the hull structure component, deformation analysis is performed on the stress abnormal area of ​​the model to obtain the deformation degree of the stress abnormal area of ​​the model under dangerous sea conditions, and the maximum deformation degree of the stress abnormal area of ​​the model under dangerous sea conditions is preset;

[0032] If the deformation degree of the model stress abnormal area under dangerous sea conditions is greater than the maximum deformation degree, then the area corresponding to the model stress abnormal area is obtained on the hull structure component and marked as the component stress abnormal area;

[0033] On the hull structural components, the currently used materials in the stress abnormality area of ​​the components are obtained and calibrated as a type of used materials, the material strength of the type of used materials is calculated, and the materials that can act on the stress abnormality area of ​​the components and have a material strength greater than the material strength of the type of used materials are retrieved from the big data network and calibrated as the target material;

[0034] In the abnormal stress area of ​​the component, a type of used material is replaced with a target material to obtain a material-replaced hull structure component, and a design optimization scheme for the material-replaced hull structure component is retrieved and output in the big data network to obtain a breeding auxiliary ship with qualified navigation stability. The design optimization scheme for the material-replaced hull structure component can make the navigation shaking amplitude of the target breeding auxiliary ship simulation model greater than the dangerous shaking amplitude.

[0035] Furthermore, in a preferred embodiment of the present invention, during the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result, specifically:

[0036] A water quality sensor and an automatic feeding system for aquaculture feed are installed in the aquaculture auxiliary ship with qualified navigation stability, and the aquaculture auxiliary ship with qualified navigation stability is controlled to sail on the target waters based on the target route. During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the water quality parameters of the target waters are monitored in real time by the water quality sensor and calibrated as the real-time water quality parameters of the target waters;

[0037] Identify all organisms that need to be fed in the target waters, mark them as target organisms, and retrieve the thresholds of water quality parameters for the survival of the target organisms in the big data network;

[0038] If the real-time water quality parameters of the target water area are within the threshold of the target organism's survivable water quality parameters, the corresponding target water area will be marked as a feeding water area; if the real-time water quality parameters of the target water area are not within the threshold of the target organism's survivable water quality parameters, the corresponding target water area will be marked as a non-feeding water area;

[0039] Obtain the rated output power, cruising output power and maximum output power of the propulsion system in the aquaculture support ship with qualified navigation stability, and during the navigation of the aquaculture support ship with qualified navigation stability, determine whether the waters where the aquaculture support ship with qualified navigation stability is a water area where feeding is allowed;

[0040] If not, the output power of the propulsion system shall be adjusted to the maximum output power in the aquaculture auxiliary vessel with qualified navigation stability;

[0041] If so, a quantitative analysis of the target organisms is performed during the navigation of the aquaculture auxiliary ship with qualified navigation stability, and the output power of the propulsion system is adjusted in the aquaculture auxiliary ship with qualified navigation stability based on the quantitative analysis results.

[0042] Furthermore, in a preferred embodiment of the present invention, the target organisms are analyzed for quantity during the navigation of the aquaculture auxiliary ship with qualified navigation stability, and the output power of the propulsion system is adjusted in the aquaculture auxiliary ship with qualified navigation stability based on the result of the quantity analysis, specifically:

[0043] Obtain the rated frequency of the automatic feeding system for aquaculture feed when feeding aquaculture feed, and calibrate it as the rated feeding frequency;

[0044] Installing a sonar fish finding device on the aquaculture auxiliary ship with qualified navigation stability, controlling the aquaculture auxiliary ship with qualified navigation stability to sail along the target route on the feeding waters, and controlling the sonar fish finding device to transmit sonar signals to the feeding waters during navigation, and receiving sonar signals reflected in the feeding waters;

[0045] Preprocessing the sonar signals reflected in the feeding waters, and constructing a sonar detection model based on the sonar signals reflected in the feeding waters after the signal preprocessing;

[0046] Analyzing the sonar detection model to construct a distribution visualization map of target organisms in the feeding waters, wherein the distribution visualization map of target organisms in the feeding waters records the density of target organisms at each point on the target route in the feeding waters;

[0047] The target organism standard density is preset, and the distribution visual map of the target organism in the feeding water area is imported into the propulsion system. When the breeding auxiliary ship with qualified navigation stability sails along the target route in the feeding water area, if the target organism density at the point where the breeding auxiliary ship with qualified navigation stability sails past is greater than the target organism standard density, the breeding feed automatic feeding system is started, the feeding frequency of the breeding feed automatic feeding system is set to the rated feeding frequency, and the output power of the propulsion system is adjusted to the rated output power in the breeding auxiliary ship with qualified navigation stability;

[0048] If the target organism density at the point where the aquaculture auxiliary ship with qualified navigation stability passes is less than the target organism standard density, the automatic feeding system for aquaculture feed is started, the feeding frequency of the automatic feeding system for aquaculture feed is set to the rated feeding frequency, and the output power of the propulsion system in the aquaculture auxiliary ship with qualified navigation stability is adjusted to the cruising output power.

[0049] The second aspect of the present invention further provides a core performance matching management system for a multifunctional aquaculture auxiliary vessel, the core performance matching management system comprising a memory and a processor, the memory storing a core performance matching management method, and when the core performance matching management method is executed by the processor, the following steps are implemented:

[0050] Combine and analyze the specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters, and introduce the A* algorithm to generate a target route based on the combined analysis results;

[0051] The navigation stability of the target aquaculture auxiliary vessel is tested through the simulation model, and the navigation stability of the target aquaculture auxiliary vessel is optimized based on the test results;

[0052] During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result.

[0053] The present invention solves the technical defects existing in the background technology, and the present invention has the following beneficial effects: the A* algorithm is used to perform parameter combination analysis on the multifunctional aquaculture auxiliary ship and the navigation waters, a target route is generated, and the navigation stability test and optimization of the multifunctional aquaculture auxiliary ship are performed through a simulation model. The multifunctional aquaculture auxiliary ship after the stability optimization is controlled to sail along the target route, and the feeding function and power performance of the multifunctional aquaculture auxiliary ship are matched based on the water quality parameters of the waters during the navigation. The present invention can analyze and match the multiple core performances of the multifunctional aquaculture auxiliary ship, and match the multiple core performances based on the analysis results. After the core performance is matched, the operating efficiency can be improved, manual intervention can be reduced, and the operating cost can be reduced, while the working safety and stability of the multifunctional aquaculture auxiliary ship can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0055] Figure 1 A flow chart showing a core performance matching management method for a multifunctional aquaculture auxiliary vessel;

[0056] Figure 2 A flow chart of a method for testing and optimizing the navigation stability of a target aquaculture auxiliary vessel through a simulation model is shown;

[0057] Figure 3 A program view of a core performance matching management system for a multifunctional aquaculture auxiliary vessel is shown. DETAILED DESCRIPTION

[0058] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0059] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0060] Figure 1 A flowchart of a core performance matching management method for a multifunctional aquaculture auxiliary vessel is shown, comprising the following steps:

[0061] S102: analyzing the specification parameters of the multifunctional aquaculture auxiliary vessel and the water parameters of the navigation waters, and introducing an A* algorithm to generate a target route based on the combined analysis results;

[0062] S104: performing a navigation stability test on the target aquaculture auxiliary ship through a simulation model, and optimizing the navigation stability of the target aquaculture auxiliary ship based on the navigation stability test result;

[0063] S106: During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result.

[0064] Furthermore, in a preferred embodiment of the present invention, the specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters are combined and analyzed, and based on the combined analysis results, the A* algorithm is introduced to generate the target route, specifically:

[0065] The multifunctional aquaculture auxiliary ship that needs to be managed for core performance matching is calibrated as a target aquaculture auxiliary ship, and specification parameters of the target aquaculture auxiliary ship are obtained, where the specification parameters of the target aquaculture auxiliary ship include the volume, empty weight, displacement and maximum cargo weight of the target aquaculture auxiliary ship;

[0066] The waters where the target aquaculture auxiliary ship is sailing are marked as target waters, and water parameters of the target waters are obtained, wherein the water parameters of the target waters include the water depth of each point in the target waters and the distribution range of the target waters, and the meteorological parameters of each point in the target waters are obtained;

[0067] A deep learning network is introduced, and based on the deep learning network, the specification parameters of the target aquaculture auxiliary ship, the water parameters of the target waters, and the meteorological parameters of each point in the target waters are combined and analyzed to obtain the prohibited points for the target aquaculture auxiliary ship in the target waters;

[0068] Determine the starting point, the point to be navigated, and the end point of the target aquaculture auxiliary ship in the target waters, introduce the A* algorithm, construct an A* algorithm basic model based on the A* algorithm, and construct a starting point node, a navigation node, and an end point node in the A* algorithm basic model according to the starting point, the point to be navigated, and the end point of the target aquaculture auxiliary ship;

[0069] In the A* algorithm training model, the prohibited points for the target aquaculture auxiliary vessels in the target waters are marked and defined as prohibited nodes;

[0070] Importing the water area parameters of the target water area into the A* algorithm basic model for model training to obtain an A* algorithm training model, wherein the A* algorithm training model has multiple nodes, wherein a node represents a point in the target water area;

[0071] Run the A* algorithm training model to generate all node routes connecting the starting node, the navigation node and the terminal node, mark them as the node routes to be analyzed, and screen out the node routes to be analyzed with prohibited nodes to obtain the node routes to be analyzed without prohibited nodes, which are marked as the first-class node routes;

[0072] The route lengths of all first-class node routes are calculated, the first-class node route with the shortest route length is selected for output, the target node route is obtained, and the route corresponding to the target node route in the target waters is marked as the target route.

[0073] It should be noted that after obtaining the target aquaculture auxiliary ship, its specification parameters need to be obtained, because ships with different specification parameters can navigate different points and routes in the same water area. For example, ships with large displacement and large volume cannot sail to narrower positions in the water area, because it will bring inconvenience to the ship's navigation, or even make it impossible to pass. Therefore, it is necessary to obtain the water area parameters of the target water area at the same time. The water depth in the water area parameters can be combined with the specification parameters of the ship for analysis, and the meteorological parameters during navigation can be added to determine the prohibited points for ships. The reason for obtaining meteorological parameters is that bad meteorological parameters, such as waters with thunderstorms and gale, cannot be navigated. The deep learning network is a learning network that can combine and analyze various parameters for training. The prohibited points for ships can be obtained by combining and analyzing various parameters through the deep learning network. The A* algorithm is a heuristic search algorithm for graph search and path planning, which can be used to plan the route of ships in this application. In the A* algorithm, the points, starting points and end points that need to be navigated are first determined, and converted into nodes for analysis. In the target waters, each point is converted into a node, and all routes passing through the points, starting points, and end points to be navigated are obtained through the A* algorithm. Since all nodes may contain prohibited points, it is necessary to delete the routes containing prohibited points, and select the route with the shortest route length from the remaining routes to output the target node route. The target route of the ship can be generated based on the target node route.

[0074] Furthermore, in a preferred embodiment of the present invention, during the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result, specifically:

[0075] A water quality sensor and an automatic feeding system for aquaculture feed are installed in the aquaculture auxiliary ship with qualified navigation stability, and the aquaculture auxiliary ship with qualified navigation stability is controlled to sail on the target waters based on the target route. During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the water quality parameters of the target waters are monitored in real time by the water quality sensor and calibrated as the real-time water quality parameters of the target waters;

[0076] Identify all organisms that need to be fed in the target waters, mark them as target organisms, and retrieve the thresholds of water quality parameters for the survival of the target organisms in the big data network;

[0077] If the real-time water quality parameters of the target water area are within the threshold of the target organism's survivable water quality parameters, the corresponding target water area will be marked as a feeding water area; if the real-time water quality parameters of the target water area are not within the threshold of the target organism's survivable water quality parameters, the corresponding target water area will be marked as a non-feeding water area;

[0078] Obtain the rated output power, cruising output power and maximum output power of the propulsion system in the aquaculture support ship with qualified navigation stability, and during the navigation of the aquaculture support ship with qualified navigation stability, determine whether the waters where the aquaculture support ship with qualified navigation stability is a water area where feeding is allowed;

[0079] If not, the output power of the propulsion system shall be adjusted to the maximum output power in the aquaculture auxiliary vessel with qualified navigation stability;

[0080] If so, a quantitative analysis of the target organisms is performed during the navigation of the aquaculture auxiliary ship with qualified navigation stability, and the output power of the propulsion system is adjusted in the aquaculture auxiliary ship with qualified navigation stability based on the quantitative analysis results.

[0081] It should be noted that after the stability of the ship is optimized, a qualified breeding auxiliary ship with navigation stability is obtained, and the navigation and work of the ship need to be controlled. Among them, the ship works to control the ship to feed the breeding feed in the water area. Before feeding, the water quality parameters of the target water area need to be analyzed, and the water quality parameters can be obtained through a water quality sensor. The reason for analyzing the water quality is that if the breeding feed is placed in a water area with poor water quality parameters, the organism will swim to the area with poor water quality to forage. At this time, the poor water quality may affect the health of the organism and even cause its death, so the breeding feed cannot be placed in the water area with poor water quality parameters. The water area can be divided according to the survivable water quality parameter threshold of the target organism. The water quality parameters of the target water area are within the survivable water quality parameter threshold of the target organism, proving that the target organism will not have problems ingesting feed in the water area. The target organisms include but are not limited to fish, shrimps, crabs, etc. The propulsion system of the ship is a system that controls the speed of the ship, corresponding to the rapidity in the core performance of the ship. The higher the power of the propulsion system, the faster the ship travels. In the waters where feeding is not allowed, since the automatic feeding system for aquaculture feed does not work, it is necessary to quickly pass through the waters where feeding is allowed to improve the efficiency of aquaculture feed delivery. Therefore, after the ship sails to the waters where feeding is not allowed, it is necessary to adjust the power of the propulsion system to the maximum and quickly pass through the waters.

[0082] Furthermore, in a preferred embodiment of the present invention, the target organisms are analyzed for quantity during the navigation of the aquaculture auxiliary ship with qualified navigation stability, and the output power of the propulsion system is adjusted in the aquaculture auxiliary ship with qualified navigation stability based on the result of the quantity analysis, specifically:

[0083] Obtain the rated frequency of the automatic feeding system for aquaculture feed when feeding aquaculture feed, and calibrate it as the rated feeding frequency;

[0084] Installing a sonar fish finding device on the aquaculture auxiliary ship with qualified navigation stability, controlling the aquaculture auxiliary ship with qualified navigation stability to sail along the target route on the feeding waters, and controlling the sonar fish finding device to transmit sonar signals to the feeding waters during navigation, and receiving sonar signals reflected in the feeding waters;

[0085] Preprocessing the sonar signals reflected in the feeding waters, and constructing a sonar detection model based on the sonar signals reflected in the feeding waters after the signal preprocessing;

[0086] Analyzing the sonar detection model to construct a distribution visualization map of target organisms in the feeding waters, wherein the distribution visualization map of target organisms in the feeding waters records the density of target organisms at each point on the target route in the feeding waters;

[0087] The target organism standard density is preset, and the distribution visual map of the target organism in the feeding water area is imported into the propulsion system. When the breeding auxiliary ship with qualified navigation stability sails along the target route in the feeding water area, if the target organism density at the point where the breeding auxiliary ship with qualified navigation stability sails past is greater than the target organism standard density, the breeding feed automatic feeding system is started, the feeding frequency of the breeding feed automatic feeding system is set to the rated feeding frequency, and the output power of the propulsion system is adjusted to the rated output power in the breeding auxiliary ship with qualified navigation stability;

[0088] If the target organism density at the point where the aquaculture auxiliary ship with qualified navigation stability passes is less than the target organism standard density, the automatic feeding system for aquaculture feed is started, the feeding frequency of the automatic feeding system for aquaculture feed is set to the rated feeding frequency, and the output power of the propulsion system in the aquaculture auxiliary ship with qualified navigation stability is adjusted to the cruising output power.

[0089] It should be noted that when sailing to a water area where feeding is possible, it is necessary to feed the feed in the water area where feeding is possible. In the water area where feeding is possible, the density of fish at different points is different. If the fish density is large, it is necessary to slow down the speed of the ship so that more aquaculture feed can be fed into the water area. The method for determining the density of fish at a point in the water area where feeding is possible is to perform sonar detection. After transmitting and receiving the sonar signal, the received sonar signal needs to be pre-processed, and the pre-processing includes signal noise reduction processing, signal feature extraction processing, etc., for the purpose of constructing a sonar detection model. The sonar detection model can know the distribution and distribution density of the target organism in the water area, so according to the sonar detection model, a distribution visualization diagram can be constructed, so as to more clearly mark the density of the target organisms at each point on the target route in the water area where feeding is possible. Since the ship travels along the target route, the ship only needs to determine the density of the target organisms at each point on the target route. If the density of the target organisms at each point on the target route is greater than the standard value, the ship needs to slow down the speed when passing through the point to achieve the purpose of throwing more aquaculture feed. The feeding frequency of the automatic feeding system for aquaculture feed is constant at the rated feeding frequency. When the ship passes the point, the propulsion system needs to adjust the output power to the rated power. If the target biological density at each point on the target route is less than the standard value, the feeding frequency of the automatic feeding system for aquaculture feed is also constant at the rated feeding frequency, but when the ship passes the point, the propulsion system needs to adjust the output power to the cruising power. The cruising power is the power set for the ship to cruise at normal speed on the water.

[0090] Figure 2 The flowchart of the method for testing and optimizing the navigation stability of a target aquaculture auxiliary vessel through a simulation model is shown, and includes the following steps:

[0091] S202: construct a simulation model and a navigation simulation system of a target aquaculture auxiliary ship, and determine a type of sea condition;

[0092] S204: running a navigation simulation system to test the sailing shaking amplitude of the target aquaculture auxiliary ship simulation model during simulated sailing under a type of sea condition, and classifying the target aquaculture auxiliary ship based on the sailing shaking amplitude;

[0093] S206: performing stress analysis on structural components of the aquaculture auxiliary vessel with unqualified navigation stability, and optimizing the stability of the aquaculture auxiliary vessel with unqualified navigation stability based on the stress analysis results of the structural components.

[0094] Furthermore, in a preferred embodiment of the present invention, the target aquaculture auxiliary ship simulation model and navigation simulation system are constructed, and a type of sea condition is determined, specifically:

[0095] Acquire simulation modeling software, import specification data of the target aquaculture auxiliary ship into the simulation modeling software, construct a simulation model of the target aquaculture auxiliary ship, and calibrate it as the simulation model of the target aquaculture auxiliary ship;

[0096] Acquire a big data network, and retrieve all sea conditions that may occur in the target waters based on water parameters of the target waters in the big data network, and mark them as a type of sea condition;

[0097] A navigation simulation system is constructed, which can control the simulation model of the target aquaculture auxiliary ship to perform simulated navigation based on the target route and withstand different types of sea conditions during the simulated navigation.

[0098] It should be noted that the simulation modeling software is a software that can construct a simulation model. By inputting the specification data of the target aquaculture auxiliary ship into the simulation modeling software, the simulation model of the target aquaculture auxiliary ship can be constructed. The simulation model of the target aquaculture auxiliary ship restores all the functions of the target aquaculture auxiliary ship, including its wave resistance. Analyzing the wave resistance is to analyze the stability. A big data network is a network that stores various data and schemes. By inputting the required conditions into the big data network, the required various data and schemes can be obtained. Analyzing the water parameters of the target waters in the big data network can obtain a class of sea conditions, and the class of sea conditions includes wave intensity, wind intensity, etc. The navigation simulation system is a system that can control the simulation model of the target aquaculture auxiliary ship to simulate navigation based on the target route and withstand different types of sea conditions during the simulated navigation. The simulated navigation is the behavior of controlling the simulation model of the target aquaculture auxiliary ship to simulate navigation and withstand different types of sea conditions during the simulated navigation.

[0099] Furthermore, in a preferred embodiment of the present invention, the operation of the navigation simulation system tests the navigation shaking amplitude of the target aquaculture auxiliary ship simulation model during simulated navigation under a type of sea condition, and classifies the target aquaculture auxiliary ship based on the navigation shaking amplitude, specifically:

[0100] Running the navigation simulation system to test the shaking amplitude of the target aquaculture auxiliary ship simulation model during simulated navigation under different sea conditions, and calibrating it as the navigation shaking amplitude;

[0101] The dangerous shaking amplitude is preset. During the operation of the navigation simulation system, if the navigation shaking amplitude of the simulation model of the target aquaculture support ship under all the first-class sea conditions is smaller than the dangerous shaking amplitude, the target aquaculture support ship is evaluated as an aquaculture support ship with qualified navigation stability;

[0102] If the navigation shaking amplitude of the simulation model of the target aquaculture auxiliary ship is greater than the dangerous shaking amplitude under a certain sea condition, the target aquaculture auxiliary ship will be evaluated as an aquaculture auxiliary ship with unqualified navigation stability, and the corresponding sea condition will be calibrated as a dangerous sea condition.

[0103] It should be noted that after running the navigation simulation system, the navigation sway amplitude of the simulation model of the target aquaculture auxiliary ship can be tested, which represents the navigation sway amplitude of the target aquaculture auxiliary ship after being subjected to a type of sea condition under real circumstances. If the navigation sway amplitude is large, it may have a serious impact on the ship, such as capsizing, causing casualties, etc. Therefore, a dangerous sway amplitude is fictitious. If there is a type of sea condition in which the navigation sway amplitude of the simulation model of the target aquaculture auxiliary ship is greater than the dangerous sway amplitude, the target aquaculture auxiliary ship will be evaluated as an aquaculture auxiliary ship with unqualified navigation stability, and the aquaculture auxiliary ship with unqualified navigation stability needs to be optimized in terms of ship structure design and other aspects. At the same time, a type of sea condition that makes the navigation sway amplitude greater than the dangerous sway amplitude is calibrated as a dangerous sea condition.

[0104] Further, in a preferred embodiment of the present invention, the structural component stress analysis is performed on the aquaculture auxiliary ship with unqualified navigation stability, and the stability of the aquaculture auxiliary ship with unqualified navigation stability is optimized based on the structural component stress analysis results, specifically:

[0105] Obtaining hull structural components of aquaculture auxiliary vessels with unqualified navigation stability, wherein the hull structural components include a deck, a keel, and a bulkhead;

[0106] The simulation model of the aquaculture auxiliary ship with unqualified navigation stability is calibrated as a type of simulation model, and the hull structure components are marked in the type of simulation model to obtain a simulation model of the hull structure components;

[0107] Running a navigation simulation system, and testing, by means of the navigation simulation system, stress values ​​of various regions on the simulation model of the hull structure components when the navigation shaking amplitude of the simulation model of the target aquaculture auxiliary ship is greater than the dangerous shaking amplitude;

[0108] Based on the dangerous shaking amplitude, the maximum tolerable stress value of each area on the simulation model of the hull structure component is calculated and calibrated as the dangerous stress value, and the area with a stress value greater than the dangerous stress value on the simulation model of the hull structure component is calibrated as the model stress abnormality area;

[0109] On the simulation model of the hull structure component, deformation analysis is performed on the stress abnormal area of ​​the model to obtain the deformation degree of the stress abnormal area of ​​the model under dangerous sea conditions, and the maximum deformation degree of the stress abnormal area of ​​the model under dangerous sea conditions is preset;

[0110] If the deformation degree of the model stress abnormal area under dangerous sea conditions is greater than the maximum deformation degree, then the area corresponding to the model stress abnormal area is obtained on the hull structure component and marked as the component stress abnormal area;

[0111] On the hull structural components, the currently used materials in the stress abnormality area of ​​the components are obtained and calibrated as a type of used materials, the material strength of the type of used materials is calculated, and the materials that can act on the stress abnormality area of ​​the components and have a material strength greater than the material strength of the type of used materials are retrieved from the big data network and calibrated as the target material;

[0112] In the abnormal stress area of ​​the component, a type of used material is replaced with a target material to obtain a material-replaced hull structure component, and a design optimization scheme for the material-replaced hull structure component is retrieved and output in the big data network to obtain a breeding auxiliary ship with qualified navigation stability. The design optimization scheme for the material-replaced hull structure component can make the navigation shaking amplitude of the target breeding auxiliary ship simulation model greater than the dangerous shaking amplitude.

[0113] It should be noted that the reason why the ship shakes more when it is subjected to dangerous sea conditions is that the hull structural components of the ship may be subjected to uneven stress, which may cause deformation and shaking, so it is necessary to obtain a simulation model of the hull structural components to simulate and analyze the stress values ​​of the hull structural components. In the simulation model of the hull structural components, if there is a region where the stress value is greater than the dangerous stress value, the region is marked as a model stress abnormality region, and the region on the hull structural component corresponding to the model stress abnormality region is the component stress abnormality region. The degree of deformation at the model stress abnormality region also reflects the degree of deformation of the component stress abnormality region. If the degree of deformation of the model stress abnormality region under dangerous sea conditions is greater than the maximum deformation degree, the material of the component stress abnormality region must be replaced, otherwise the hull structural components may be damaged under the influence of dangerous sea conditions, causing serious accidents to the ship. It is necessary to select a material that can act on the component stress abnormality region and whose material strength is greater than the material strength of a class of used materials as a replacement material, that is, a target material, in order to ensure that the degree of deformation of the hull structural component is less than a preset value after encountering dangerous sea conditions. After replacing the materials, the structural design of the ship still needs to be optimized, because even if the degree of deformation in the abnormal stress area of ​​the component is less than the preset value, the large stress value will still aggravate the shaking of the ship. After the structural design of the ship is optimized, the stress in the abnormal stress area of ​​the component will be dispersed, resulting in a decrease in the stress value, thereby reducing the shaking amplitude of the ship and obtaining an aquaculture auxiliary ship with qualified navigation stability.

[0114] like Figure 3 As shown, the second aspect of the present invention further provides a core performance matching management system for a multifunctional aquaculture auxiliary vessel, the core performance matching management system comprising a memory 31 and a processor 32, the memory 31 stores a core performance matching management method, and when the core performance matching management method is executed by the processor 32, the following steps are implemented:

[0115] Combine and analyze the specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters, and introduce the A* algorithm to generate a target route based on the combined analysis results;

[0116] The navigation stability of the target aquaculture auxiliary vessel is tested through the simulation model, and the navigation stability of the target aquaculture auxiliary vessel is optimized based on the test results;

[0117] During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result.

[0118] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field 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 core performance matching management method for a multifunctional aquaculture auxiliary vessel, characterized in that: The following steps are involved: Combine and analyze the specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters, and introduce the A* algorithm to generate a target route based on the combined analysis results; The navigation stability of the target aquaculture auxiliary vessel is tested through the simulation model, and the navigation stability of the target aquaculture auxiliary vessel is optimized based on the test results; During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result.

2. According to the core performance matching management method of a multifunctional aquaculture auxiliary vessel described in claim 1, it is characterized in that: The specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters are combined and analyzed, and based on the combined analysis results, the A* algorithm is introduced to generate the target route, specifically: The multifunctional aquaculture auxiliary ship that needs to be managed for core performance matching is calibrated as a target aquaculture auxiliary ship, and specification parameters of the target aquaculture auxiliary ship are obtained, where the specification parameters of the target aquaculture auxiliary ship include the volume, empty weight, displacement and maximum cargo weight of the target aquaculture auxiliary ship; The waters where the target aquaculture auxiliary ship is sailing are marked as target waters, and water parameters of the target waters are obtained, wherein the water parameters of the target waters include the water depth of each point in the target waters and the distribution range of the target waters, and the meteorological parameters of each point in the target waters are obtained; A deep learning network is introduced, and based on the deep learning network, the specification parameters of the target aquaculture auxiliary ship, the water parameters of the target waters, and the meteorological parameters of each point in the target waters are combined and analyzed to obtain the prohibited points for the target aquaculture auxiliary ship in the target waters; Determine the starting point, the point to be navigated, and the end point of the target aquaculture auxiliary ship in the target waters, introduce the A* algorithm, construct an A* algorithm basic model based on the A* algorithm, and construct a starting point node, a navigation node, and an end point node in the A* algorithm basic model according to the starting point, the point to be navigated, and the end point of the target aquaculture auxiliary ship; In the A* algorithm training model, the prohibited points for the target aquaculture auxiliary vessels in the target waters are marked and defined as prohibited nodes; Importing the water area parameters of the target water area into the A* algorithm basic model for model training to obtain an A* algorithm training model, wherein the A* algorithm training model has multiple nodes, wherein a node represents a point in the target water area; Run the A* algorithm training model to generate all node routes connecting the starting node, the navigation node and the terminal node, mark them as the node routes to be analyzed, and screen out the node routes to be analyzed with prohibited nodes to obtain the node routes to be analyzed without prohibited nodes, which are marked as the first-class node routes; The route lengths of all first-class node routes are calculated, the first-class node route with the shortest route length is selected for output, the target node route is obtained, and the route corresponding to the target node route in the target waters is marked as the target route.

3. According to the core performance matching management method of a multifunctional aquaculture auxiliary vessel described in claim 1, it is characterized in that: The method of performing a navigation stability test on the target aquaculture auxiliary ship through the simulation model and optimizing the navigation stability of the target aquaculture auxiliary ship based on the navigation stability test result is specifically as follows: Acquire simulation modeling software, import specification data of the target aquaculture auxiliary ship into the simulation modeling software, construct a simulation model of the target aquaculture auxiliary ship, and calibrate it as the simulation model of the target aquaculture auxiliary ship; Acquire a big data network, and retrieve all sea conditions that may occur in the target waters based on water parameters of the target waters in the big data network, and mark them as a type of sea condition; Constructing a navigation simulation system, wherein the navigation simulation system can control the simulation model of the target aquaculture auxiliary ship to perform simulated navigation based on the target route and withstand different types of sea conditions during the simulated navigation; Running the navigation simulation system to test the shaking amplitude of the target aquaculture auxiliary ship simulation model during simulated navigation under different sea conditions, and calibrating it as the navigation shaking amplitude; The dangerous shaking amplitude is preset. During the operation of the navigation simulation system, if the navigation shaking amplitude of the simulation model of the target aquaculture support ship under all the first-class sea conditions is smaller than the dangerous shaking amplitude, the target aquaculture support ship is evaluated as an aquaculture support ship with qualified navigation stability; If the navigation shaking amplitude of the simulation model of the target aquaculture auxiliary ship under a certain sea condition is greater than the dangerous shaking amplitude, the target aquaculture auxiliary ship is evaluated as an aquaculture auxiliary ship with unqualified navigation stability, and the corresponding sea condition is calibrated as a dangerous sea condition; Conduct stress analysis on structural components of aquaculture auxiliary ships with unqualified navigation stability, and optimize the stability of aquaculture auxiliary ships with unqualified navigation stability based on the results of stress analysis on structural components.

4. According to the core performance matching management method of a multifunctional aquaculture auxiliary vessel described in claim 3, it is characterized in that: The method of performing stress analysis on structural components of aquaculture auxiliary vessels with unqualified navigation stability, and optimizing the stability of aquaculture auxiliary vessels with unqualified navigation stability based on the stress analysis results of structural components, is specifically as follows: Obtaining hull structural components of aquaculture auxiliary vessels with unqualified navigation stability, wherein the hull structural components include a deck, a keel, and a bulkhead; The simulation model of the aquaculture auxiliary ship with unqualified navigation stability is calibrated as a type of simulation model, and the hull structure components are marked in the type of simulation model to obtain a simulation model of the hull structure components; Running a navigation simulation system, and testing, by means of the navigation simulation system, stress values ​​of various regions on the simulation model of the hull structure components when the navigation shaking amplitude of the simulation model of the target aquaculture auxiliary ship is greater than the dangerous shaking amplitude; Based on the dangerous shaking amplitude, the maximum tolerable stress value of each area on the simulation model of the hull structure component is calculated and calibrated as the dangerous stress value, and the area with a stress value greater than the dangerous stress value on the simulation model of the hull structure component is calibrated as the model stress abnormality area; On the simulation model of the hull structure component, deformation analysis is performed on the stress abnormal area of ​​the model to obtain the deformation degree of the stress abnormal area of ​​the model under dangerous sea conditions, and the maximum deformation degree of the stress abnormal area of ​​the model under dangerous sea conditions is preset; If the deformation degree of the model stress abnormal area under dangerous sea conditions is greater than the maximum deformation degree, then the area corresponding to the model stress abnormal area is obtained on the hull structure component and marked as the component stress abnormal area; On the hull structural components, the currently used materials in the stress abnormality area of ​​the components are obtained and calibrated as a type of used materials, the material strength of the type of used materials is calculated, and the materials that can act on the stress abnormality area of ​​the components and have a material strength greater than the material strength of the type of used materials are retrieved from the big data network and calibrated as the target material; In the abnormal stress area of ​​the component, a type of used material is replaced with a target material to obtain a material-replaced hull structure component, and a design optimization scheme for the material-replaced hull structure component is retrieved and output in the big data network to obtain a breeding auxiliary ship with qualified navigation stability. The design optimization scheme for the material-replaced hull structure component can make the navigation shaking amplitude of the target breeding auxiliary ship simulation model greater than the dangerous shaking amplitude.

5. According to the core performance matching management method of a multifunctional aquaculture auxiliary vessel described in claim 1, it is characterized in that: During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result, specifically: A water quality sensor and an automatic feeding system for aquaculture feed are installed in the aquaculture auxiliary ship with qualified navigation stability, and the aquaculture auxiliary ship with qualified navigation stability is controlled to sail on the target waters based on the target route. During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the water quality parameters of the target waters are monitored in real time by the water quality sensor and calibrated as the real-time water quality parameters of the target waters; Identify all organisms that need to be fed in the target waters, mark them as target organisms, and retrieve the thresholds of water quality parameters for the survival of the target organisms in the big data network; If the real-time water quality parameters of the target water area are within the threshold of the target organism's survivable water quality parameters, the corresponding target water area will be marked as a feeding water area; if the real-time water quality parameters of the target water area are not within the threshold of the target organism's survivable water quality parameters, the corresponding target water area will be marked as a non-feeding water area; Obtain the rated output power, cruising output power and maximum output power of the propulsion system in the aquaculture support ship with qualified navigation stability, and during the navigation of the aquaculture support ship with qualified navigation stability, determine whether the waters where the aquaculture support ship with qualified navigation stability is a water area where feeding is allowed; If not, the output power of the propulsion system shall be adjusted to the maximum output power in the aquaculture auxiliary vessel with qualified navigation stability; If so, a quantitative analysis of the target organisms is performed during the navigation of the aquaculture auxiliary ship with qualified navigation stability, and the output power of the propulsion system is adjusted in the aquaculture auxiliary ship with qualified navigation stability based on the quantitative analysis results.

6. According to the core performance matching management method of a multifunctional aquaculture auxiliary vessel described in claim 5, it is characterized in that: The quantitative analysis of the target organisms is performed during the navigation of the aquaculture auxiliary ship with qualified navigation stability, and the output power of the propulsion system is adjusted in the aquaculture auxiliary ship with qualified navigation stability based on the quantitative analysis result, specifically: Obtain the rated frequency of the automatic feeding system for aquaculture feed when feeding aquaculture feed, and calibrate it as the rated feeding frequency; Installing a sonar fish finding device on the aquaculture auxiliary ship with qualified navigation stability, controlling the aquaculture auxiliary ship with qualified navigation stability to sail along the target route on the feeding waters, and controlling the sonar fish finding device to transmit sonar signals to the feeding waters during navigation, and receiving sonar signals reflected in the feeding waters; Preprocessing the sonar signals reflected in the feeding waters, and constructing a sonar detection model based on the sonar signals reflected in the feeding waters after the signal preprocessing; Analyzing the sonar detection model to construct a distribution visualization map of target organisms in the feeding waters, wherein the distribution visualization map of target organisms in the feeding waters records the density of target organisms at each point on the target route in the feeding waters; The target organism standard density is preset, and the distribution visual map of the target organism in the feeding water area is imported into the propulsion system. When the breeding auxiliary ship with qualified navigation stability sails along the target route in the feeding water area, if the target organism density at the point where the breeding auxiliary ship with qualified navigation stability sails past is greater than the target organism standard density, the breeding feed automatic feeding system is started, the feeding frequency of the breeding feed automatic feeding system is set to the rated feeding frequency, and the output power of the propulsion system is adjusted to the rated output power in the breeding auxiliary ship with qualified navigation stability; If the target organism density at the point where the aquaculture auxiliary ship with qualified navigation stability passes is less than the target organism standard density, the automatic feeding system for aquaculture feed is started, the feeding frequency of the automatic feeding system for aquaculture feed is set to the rated feeding frequency, and the output power of the propulsion system in the aquaculture auxiliary ship with qualified navigation stability is adjusted to the cruising output power.

7. A core performance matching management system for a multifunctional aquaculture auxiliary vessel, characterized in that: The core performance matching management system includes a memory and a processor, wherein a core performance matching management method program is stored in the memory, and when the core performance matching management method program is executed by the processor, the core performance matching management method steps as described in any one of claims 1 to 6 are implemented: Combine and analyze the specification parameters of the multifunctional aquaculture auxiliary ship and the water parameters of the navigation waters, and introduce the A* algorithm to generate a target route based on the combined analysis results; The navigation stability of the target aquaculture auxiliary vessel is tested through the simulation model, and the navigation stability of the target aquaculture auxiliary vessel is optimized based on the test results; During the navigation of the aquaculture auxiliary ship with qualified navigation stability, the aquaculture auxiliary ship with qualified navigation stability is controlled to monitor water quality, and the feeding function and power performance of the aquaculture auxiliary ship with qualified navigation stability are matched based on the water quality monitoring result.

Images