Large-scale seawater fry factory grading culture system

By implementing a graded environmental control and automated transfer mechanism, the problems of difficult water quality control and extensive graded management in the traditional cultivation of large-sized marine fish fry have been solved. This has enabled efficient cultivation from fry to large-sized fish fry, improved survival rate and growth rate, and met the needs of modern marine aquaculture.

CN120323390BActive Publication Date: 2025-12-09阳江市水产技术推广站 +1
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Patent Information

Application Number
CN202510566010.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-30
Publication Date
2025-12-09
Estimated Expiration
2045-04-30

AI Technical Summary

Technical Problem

Traditional methods of raising large-sized marine fish fry are difficult to control in terms of water quality, have extensive fry grading management, and have weak disease control capabilities, resulting in low survival rates, uneven growth rates, and large size differences, which makes it difficult to meet the modern marine aquaculture industry's demand for high-quality, healthy, and standardized fish fry.

Method used

Employing a tiered environmental control and automated transfer mechanism, and integrating primary, secondary, and tertiary rearing ponds with modules for growth monitoring, environmental control, and disease early warning, the system achieves efficient rearing of fish fry from larvae to large-sized fry.

Benefits of technology

This technology enables precise environmental control and graded management of fish fry, improving survival rate and growth rate, reducing disease risk, and meeting the demand of modern marine aquaculture for high-quality fish fry.

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Abstract

The application discloses a large-specification seawater fry factory grading cultivation system and relates to the technical field of aquaculture. The system comprises a first-stage, a second-stage and a third-stage cultivation pool. The first-stage cultivation pool is connected with the second-stage cultivation pool through a conveying pipeline, and the second-stage cultivation pool is arranged in the third-stage pool. The first-stage pool is provided with an independent first circulating water filtration device and a monitoring unit, and the second-stage and third-stage pools share a second set of circulating water filtration and monitoring units. The monitoring units at all stages are integrated with growth detection, environmental regulation and disease early warning functions. The first-stage pool is used for cultivating newly hatched fry, and when the fry develops to the juvenile stage, the fry is automatically transferred to the second-stage pool through the conveying pipeline; the second-stage pool and the third-stage pool jointly form a mixed culture environment, and when the juvenile fish reaches the target specification, the cage door is opened to transfer the juvenile fish into the third-stage pool. Through the grading environmental control and the automatic transfer mechanism, the system realizes efficient cultivation of fry from fry to large-specification fry, and solves the problems of uneven growth and low sorting efficiency in traditional fry cultivation.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aquaculture, in particular to a large-scale seawater fry factory grading cultivation system. BACKGROUND

[0002] Developing deep-sea aquaculture is an important measure to promote the high-quality development of the "blue granary". Due to the uncontrollable environmental conditions and relatively extensive production operation mode, deep-sea aquaculture often needs to release large-scale fry to improve the survival rate and reduce the risk of aquaculture. At present, one of the key links restricting deep-sea aquaculture is that large-scale fry is difficult to be stably supplied and the adaptability of fry land-sea relay transition is poor. Traditional large-scale seawater fry cultivation methods mostly use open or semi-open pond culture mode, which has problems such as difficulty in water quality regulation, extensive fry grading management, weak disease prevention and control ability, etc., resulting in low fry survival rate, uneven growth rate, and large size difference, which is difficult to meet the demand of modern seawater aquaculture for high-quality, healthy and standardized fry.

[0003] In the field of factory farming, although some recirculating aquaculture systems have been applied to seawater fry cultivation, existing technologies mostly focus on the large-scale cultivation of single-stage fry, and lack the function of grading and fine cultivation of fry at different growth stages. Specifically, newly hatched fry, juvenile fish and set-size fry have significant differences in terms of environmental requirements, feed types and feeding strategies, disease prevention and control priorities, etc. Traditional cultivation systems cannot achieve precise environmental regulation and grading management of fry at different stages, resulting in low fry cultivation efficiency and serious resource waste. SUMMARY

[0004] The purpose of the present application is to provide a large-scale seawater fry factory grading cultivation system, which can realize efficient cultivation of fry from fry to large-scale fry through grading environmental control and automatic transfer mechanism, and solve the problems of uneven growth and low sorting efficiency in traditional cultivation.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] A large-scale seawater fry factory grading cultivation system, comprising: a first-stage cultivation tank, a second-stage cultivation tank and a third-stage cultivation tank; one end of a conveying pipeline is connected to the bottom of the first-stage cultivation tank, and the other end of the conveying pipeline is connected to the second-stage cultivation tank; the second-stage cultivation tank is arranged inside the third-stage cultivation tank; wherein the first-stage cultivation tank is further connected with a first circulating water filtration device and a first monitoring unit, and the second-stage cultivation tank and the third-stage cultivation tank jointly use a second circulating water filtration device and a second monitoring unit; the first monitoring unit and the second monitoring unit each comprise a growth detection module, an environmental regulation module and a disease early warning module;

[0007] The primary cultivation tank is used to provide a cultivation environment for newly hatched fish and to automatically regulate when any water quality parameter exceeds a preset floating range, and to determine the growth stage of the newly hatched fish; when the newly hatched fish is determined to grow into juvenile fish, the juvenile fish is put into the secondary cultivation tank through the conveying pipeline;

[0008] The secondary cultivation tank is internally provided with a partition plate to divide the cultivation tank cavity into an upper cultivation area and a lower pollution collection area, the tank body side wall adopts a porous plate, a cage door is arranged on one of the side walls, and an electromagnetic valve control switch is connected to one end of the cage door; the secondary cultivation tank and the tertiary cultivation tank are used to provide a mixed cultivation environment for juvenile fish and fish fry of a set specification, and to automatically regulate when any water quality parameter exceeds a preset floating range, and to determine the growth stage of the juvenile fish; when the juvenile fish is determined to grow into fish fry, the cage door is controlled to open to put the juvenile fish into the tertiary cultivation tank.

[0009] Optionally, the conveying pipeline comprises a connecting pipe and a corresponding on-off valve; the two ends of the connecting pipe are respectively connected to the primary cultivation tank and the secondary cultivation tank, and the on-off valve is arranged on the connecting pipe.

[0010] Optionally, the primary cultivation tank and the secondary cultivation tank are further provided with a sensor assembly and a camera for collecting water quality parameters and fish school videos.

[0011] Optionally, the sensor assembly at least comprises temperature, pH and dissolved oxygen sensors.

[0012] Optionally, the growth detection module specifically comprises:

[0013] A first acquisition sub-module is used to acquire fish school videos in a set detection time period;

[0014] A cropping sub-module is used to crop the fish school videos and to screen out fish body images with intact fish bodies;

[0015] A detection sub-module is used to input the fish body images into a growth prediction model to determine the probability that the current fish school grows into the next stage, to control a corresponding connection device to open when the output probability is greater than a set threshold, and to send the current growth state to a mobile device of a management personnel; the growth prediction model is constructed based on an LSTM neural network and an attention mechanism.

[0016] Optionally, the environment regulation module specifically comprises:

[0017] A second acquisition sub-module is used to acquire real-time collected water quality parameters;

[0018] The regulation submodule is configured to input the water quality parameter into an environmental regulation model, and determine whether the parameter needs to be regulated by calculation of the environmental regulation model, and output a control instruction of an execution device when the parameter needs to be regulated; the execution device at least includes an oxygenator, a temperature control device and a pH dosing device.

[0019] Optionally, the disease warning module specifically includes:

[0020] The third acquisition submodule is configured to acquire fish school videos in a set detection time period.

[0021] The behavior analysis submodule is configured to input the fish school videos into a disease prediction model, and output a prediction result, a corresponding control instruction and warning information by evaluation of the disease prediction model; the prediction result includes whether the fish school has a disease and a disease type when the fish school has the disease; the disease prediction model is constructed based on a machine vision algorithm, a decision model and a data fusion algorithm.

[0022] The execution submodule is configured to output an instruction of starting a sterilization device when the prediction result is that the fish school has a disease and the corresponding disease type, and pack the prediction result and the corresponding control instruction into a file as the warning information and transmit the warning information to a mobile device of a manager.

[0023] Optionally, the application further includes a bait feeder; the bait feeder includes a first feeding port, a second feeding port, a third feeding port and a corresponding feed tank of each feeding port; the feed tank stores feed corresponding to each growth stage; the first feeding port is arranged in the first-stage cultivation pool and is configured to start feeding according to a first set feeding time; the second feeding port is arranged in the second-stage cultivation pool and is configured to start feeding according to a second set feeding time; and the third feeding port is arranged in the third-stage cultivation pool and is configured to start feeding according to a third set feeding time.

[0024] According to the specific embodiments of the application, the following technical effects are provided:

[0025] The application discloses a large-specification seawater fry factory grading cultivation system, which comprises a first-stage cultivation pool, a second-stage cultivation pool and a third-stage cultivation pool. The first-stage cultivation pool is connected with the second-stage cultivation pool through a conveying pipeline, and the second-stage cultivation pool is arranged in the third-stage pool. The first-stage pool is provided with an independent first circulating water filtering device and a monitoring unit, and the second-stage pool and the third-stage pool share a second circulating water filtering and monitoring unit. The monitoring units at all stages are integrated with growth detection, environment regulation and disease early warning functions. The first-stage pool is used for cultivating newly hatched fry, and when the fry develops into juvenile fish, the fry is automatically transferred to the second-stage pool through the conveying pipeline; the second-stage pool and the third-stage pool jointly form a mixed culture environment, and when the juvenile fish reaches a target specification, the juvenile fish is transferred into the third-stage pool by opening a cage door. The system realizes efficient cultivation of fry from fry to large-specification fry through grading environment control and automatic transfer mechanism, and solves the problems of uneven growth and low sorting efficiency in traditional cultivation. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings described in the following are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0027] Figure 1 It is a structural schematic view of the large-specification seawater fry factory grading cultivation system.

[0028] Reference signs:

[0029] 1, first-stage cultivation pool; 2, second-stage cultivation pool; 3, third-stage cultivation pool; 4, connecting pipe; 5, on-off valve; 6, partition plate; 7, bait feeder; 8, first feeding port; 9, second feeding port; 10, third feeding port. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present application will be clearly and completely described in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0031] The purpose of the present application is to provide a large-specification seawater fry factory grading cultivation system, which can realize efficient cultivation of fry from fry to large-specification fry through grading environment control and automatic transfer mechanism, and solve the problems of uneven growth and low sorting efficiency in traditional cultivation.

[0032] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0033] As shown in Figure 1 , the present application provides a large-specification seawater fry factory grading cultivation system, which is a large-specification seawater fry factory grading cultivation system integrating functions such as automatic water quality regulation, intelligent growth stage judgment, hierarchical precise management, and real-time disease warning, and has important significance for improving seawater fry cultivation quality and promoting the sustainable development of seawater aquaculture. The main structure includes:

[0034] A first cultivation tank 1, a second cultivation tank 2, and a third cultivation tank 3; one end of a conveying pipeline is connected to the bottom of the first cultivation tank 1, and the other end of the conveying pipeline is connected to the second cultivation tank 2; the second cultivation tank 2 is arranged inside the third cultivation tank 3; wherein the first cultivation tank 1 is further connected to a first circulating water filtration device and a first monitoring unit, and the second cultivation tank 2 and the third cultivation tank 3 jointly use a second circulating water filtration device and a second monitoring unit; the first monitoring unit and the second monitoring unit each include a growth detection module, an environmental regulation module, and a disease warning module.

[0035] The first cultivation tank 1 is used to provide a cultivation environment for newly hatched fry and to automatically regulate when any water quality parameter exceeds a preset floating interval, and to judge the growth stage of the newly hatched fry; when the newly hatched fry is determined to have grown into juvenile fish, the juvenile fish is put into the second cultivation tank 2 through the conveying pipeline.

[0036] The second cultivation tank 2 is internally provided with a partition 6, which divides the cultivation tank cavity into an upper cultivation area and a lower pollution collection area, the tank body side wall uses a perforated plate, a cage door is provided on one of the side walls, and an electromagnetic valve control switch is connected to one end of the cage door; the second cultivation tank 2 and the third cultivation tank 3 are used to provide a mixed culture environment for juvenile fish and fish fry of a set specification, and to automatically regulate when any water quality parameter exceeds a preset floating interval, and to judge the growth stage of the juvenile fish; when the juvenile fish is determined to have grown into fish fry, the cage door is opened to put the juvenile fish into the third cultivation tank 3.

[0037] As a specific embodiment, the conveying pipeline includes a connecting pipe 4 and a corresponding on-off valve 5; the two ends of the connecting pipe 4 are respectively connected to the first cultivation tank 1 and the second cultivation tank 2, and the on-off valve 5 is arranged on the connecting pipe 4.

[0038] As a specific embodiment, the primary cultivation tank 1 and the secondary cultivation tank 2 are further provided with a sensor assembly and a camera for collecting water quality parameters and fish group videos. The sensor assembly at least includes a temperature sensor, a pH sensor and a dissolved oxygen sensor.

[0039] As a specific embodiment, the growth detection module specifically includes:

[0040] A first acquisition sub-module is configured to acquire fish group videos in a set detection time period.

[0041] A cropping sub-module is configured to crop the fish group videos and filter out fish body images with intact fish bodies.

[0042] A detection sub-module is configured to input the fish body images into a growth prediction model to determine a probability that the current fish group grows to a next stage, control a corresponding connected device to be turned on when the output probability is greater than a set threshold, and send a current growth state to a mobile device of a manager; the growth prediction model is constructed based on an LSTM neural network and an attention mechanism.

[0043] As a specific embodiment, the environment control module specifically includes:

[0044] A second acquisition sub-module is configured to acquire real-time collected water quality parameters.

[0045] A control sub-module is configured to input the water quality parameters into an environment control model, determine whether the parameters need to be controlled through calculation of the environment control model, and output a control instruction of a corresponding execution device when the parameters need to be adjusted; the execution device at least includes an oxygenator, a temperature control device and a pH dosing device.

[0046] As a specific embodiment, the disease early warning module specifically includes:

[0047] A third acquisition sub-module is configured to acquire fish group videos in a set detection time period.

[0048] A behavior analysis sub-module is configured to input the fish group videos into a disease prediction model, output a prediction result, a corresponding control instruction and early warning information through evaluation of the disease prediction model; the prediction result includes whether the current fish group has a disease and a disease type when the fish group has the disease; the disease prediction model is constructed based on a machine vision algorithm, a decision model and a data fusion algorithm.

[0049] An execution sub-module is configured to output an instruction to start a sterilization device when the prediction result is that the fish group has a disease and the corresponding disease type, and pack the prediction result and the corresponding control instruction into a file as early warning information transmitted to a mobile device of a manager.

[0050] As a specific embodiment, the system further comprises a feeder 7; the feeder 7 comprises a first feeding port 8, a second feeding port 9, a third feeding port 10, and a feed tank corresponding to each feeding port; the feed tank stores feed corresponding to each growth stage; the first feeding port 8 is arranged in the first cultivation tank 1 and is used to start feeding according to a first set feeding time; the second feeding port 9 is arranged in the second cultivation tank and is used to start feeding according to a second set feeding time; and the third feeding port 10 is arranged in the third cultivation tank and is used to start feeding according to a third set feeding time.

[0051] Based on the above technical solution, the following embodiments are provided.

[0052] The first cultivation tank 1 is set up.

[0053] Function: Provide suitable breeding environment for newly hatched fry, including automatic regulation of key water quality parameters such as temperature, pH, and dissolved oxygen.

[0054] Water quality regulation: When any water quality parameter exceeds the preset floating interval, the environmental regulation module automatically adjusts the oxygenation machine, temperature control equipment, and other execution devices to ensure stable water quality through the connected first circulating water filtration device and first monitoring unit.

[0055] Growth monitoring: Use sensor components (temperature, pH, dissolved oxygen) and cameras to collect water quality parameters and fish group videos. The growth detection module analyzes fish group videos using a growth prediction model based on LSTM neural networks and attention mechanisms to determine the growth stage of newly hatched fry. When determined as juvenile fish, automatically transfer to the second cultivation tank 2 through the delivery pipeline (including on-off valve 5).

[0056] The second cultivation tank 2 is set up.

[0057] Function: Provide mixed breeding environment for juvenile fish and set size fry together with the third cultivation tank 3, while having the function of grading transfer of juvenile fish to fry.

[0058] Water quality regulation: Through the second circulating water filtration device and the second monitoring unit, realize automatic water quality regulation shared with the third cultivation tank 3.

[0059] Growth monitoring and grading transfer: The side wall is designed with a perforated plate, and one of the side walls is provided with a cage door controlled by a battery valve. The growth detection module continuously monitors the growth state of juvenile fish, and when determined as fry, controls the cage door to open and automatically transfers the fry to the third cultivation tank 3.

[0060] The third cultivation tank 3 is set up.

[0061] Function: As the final cultivation stage of set size fry, provide stable breeding environment until the fry reaches the market size.

[0062] Water quality regulation: share the second circulating water filtration device and the second monitoring unit with the secondary cultivation pond 2 to ensure the stability of water quality.

[0063] Setting the feeder 7:

[0064] Function: according to the nutritional needs of fish fry at different growth stages, automatically feed corresponding fish food.

[0065] Feeding strategy: feeder 7 contains first feeding port 8, second feeding port 9, third feeding port 10, corresponding to primary, secondary, and tertiary cultivation ponds 3. Each feeding port is automatically opened according to the preset feeding time (first, second, and third set feeding time) to feed the corresponding growth stage feed.

[0066] Further based on the tertiary cultivation pond 3 for disease early warning:

[0067] Function: through the disease early warning module, using the disease prediction model constructed by machine vision algorithm, decision model and data fusion algorithm, real-time analysis of fish video, and evaluation of whether the fish population has disease and disease type.

[0068] Early warning response: when the prediction result is that there is disease, the sub-module automatically starts the sterilization device, and packs the prediction result and control instruction as early warning information, and transmits it to the mobile device of the management personnel, so as to take timely intervention measures.

[0069] Application effect

[0070] The large-scale seawater fry factory grading cultivation system in the embodiment realizes the fine and grading cultivation of seawater fry from hatched fry to set size fry through the integrated functions of water quality regulation, growth monitoring, disease early warning and automatic feeding. The system runs stably, the water quality regulation is accurate, the growth monitoring is accurate, the disease early warning is timely, which effectively improves the survival rate and growth rate of fry, reduces the disease risk, and provides strong support for the sustainable development of seawater aquaculture.

[0071] Each embodiment in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts between each embodiment can be referred to each other.

[0072] The principles and implementation modes of the present application are described by applying specific examples in this paper. The above description of the embodiments is only to help understand the core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range will be changed. In view of the above, the content of the specification should not be understood as a limitation of the present application.

Claims

1. A large-scale factory grading rearing system for marine fish larvae, characterized by, The application relates to a fish breeding system. The first-stage breeding tank is connected with one end of a conveying pipeline, and the other end of the conveying pipeline is connected with the second-stage breeding tank; the second-stage breeding tank is arranged in the third-stage breeding tank; the first-stage breeding tank is further connected with a first circulating water filtering device and a first monitoring unit; the second-stage breeding tank and the third-stage breeding tank are connected with a second circulating water filtering device and a second monitoring unit; the first monitoring unit and the second monitoring unit each comprise a growth detection module, an environment control module and a disease early warning module. The first-stage breeding tank is used for providing a breeding environment for newly hatched fish, automatically controlling the breeding environment when any water quality parameter exceeds a preset floating interval, and judging the growth stage of the newly hatched fish; when the newly hatched fish is determined to be juvenile fish, the juvenile fish is put into the second-stage breeding tank through the conveying pipeline. The second-stage breeding tank is provided with a partition plate, which divides the breeding tank cavity into an upper breeding area and a lower sewage collecting area; the side wall of the tank body is provided with a porous plate, a cage door is arranged on one of the side walls, and an electromagnetic valve control switch is arranged at one end of the cage door; the second-stage breeding tank and the third-stage breeding tank are used for providing a mixed breeding environment for juvenile fish and fish fry of a set specification, automatically controlling the mixed breeding environment when any water quality parameter exceeds a preset floating interval, and judging the growth stage of the juvenile fish; when the juvenile fish is determined to be fish fry, the cage door is controlled to be opened to put the juvenile fish into the third-stage breeding tank.

2. The large size marine fish fry factory grading culture system according to claim 1, characterized in that, The conveying pipeline comprises a connecting pipe and a corresponding on-off valve; the two ends of the connecting pipe are connected with the first-stage breeding tank and the second-stage breeding tank respectively, and the on-off valve is arranged on the connecting pipe.

3. The large size marine fish fry factory grading rearing system according to claim 1, characterized in that, The first-stage breeding tank and the second-stage breeding tank are further provided with a sensor assembly and a camera for collecting water quality parameters and fish group videos.

4. The large size marine fish fry factory grading rearing system according to claim 3, wherein, The sensor assembly at least comprises temperature, pH and dissolved oxygen sensors.

5. The large size marine fish fry factory grading rearing system according to claim 1, wherein, The growth detection module specifically comprises: A first acquisition sub-module is used for acquiring fish group videos in a set detection time period; A cropping sub-module is used for cropping the fish group videos and screening fish body images with complete fish bodies; A detection sub-module is used for inputting the fish body images into a growth prediction model to determine the probability that the current fish group grows into the next stage; when the output probability is greater than a set threshold, a corresponding connected device is controlled to be opened, and the current growth state is sent to a mobile device of a management personnel; the growth prediction model is constructed based on an LSTM neural network and an attention mechanism.

6. The large size marine fish fry factory grading rearing system according to claim 1, wherein, The environment control module specifically comprises: A second acquisition sub-module is used for acquiring real-time collected water quality parameters; An environment control model is used for inputting the water quality parameters into the environment control model, and determining whether the parameters need to be controlled through calculation of the environment control model; when the parameters need to be adjusted, a control instruction of a corresponding execution device is output; the execution device at least comprises an oxygenator, a temperature control device and a pH dosing device.

7. The large size marine fish fry factory grading rearing system according to claim 1, wherein, The disease early warning module specifically comprises: A third acquisition sub-module is used for acquiring fish group videos in a set detection time period; The behavior analysis submodule is configured to input the fish school video into a disease prediction model, evaluate the fish school video by using the disease prediction model, and output a prediction result and corresponding control instructions and early warning information. The prediction result includes whether the fish school currently has a disease and a disease type if the fish school has a disease. The disease prediction model is constructed based on a machine vision algorithm, a decision model, and a data fusion algorithm. The execution submodule is configured to output an instruction to start a sterilization device when the prediction result is that the fish school has a disease and the corresponding disease type, and pack the prediction result and the corresponding control instructions into a file as early warning information and transmit the early warning information to a mobile device of a manager.

8. The large size marine fish fry factory grading rearing system according to claim 1, characterized by, Further comprising: A bait feeder, wherein the bait feeder comprises a first feeding port, a second feeding port, a third feeding port, and a feed tank corresponding to each feeding port; the feed tank stores feed corresponding to each growth stage; the first feeding port is arranged in the first-stage cultivation tank and is used to start feeding according to a first set feeding time; the second feeding port is arranged in the second-stage cultivation tank and is used to start feeding according to a second set feeding time; and the third feeding port is arranged in the third-stage cultivation tank and is used to start feeding according to a third set feeding time.

Citation Information

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