CN111513013A - Categorised conveyor of live fish based on artificial intelligence discernment - Google Patents
Categorised conveyor of live fish based on artificial intelligence discernment Download PDFInfo
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- CN111513013A CN111513013A CN202010249909.6A CN202010249909A CN111513013A CN 111513013 A CN111513013 A CN 111513013A CN 202010249909 A CN202010249909 A CN 202010249909A CN 111513013 A CN111513013 A CN 111513013A
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- 241000251468 Actinopterygii Species 0.000 title claims abstract description 206
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 14
- 201000010099 disease Diseases 0.000 claims abstract description 23
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 9
- 238000004519 manufacturing process Methods 0.000 claims abstract description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 31
- 238000003745 diagnosis Methods 0.000 claims description 24
- 230000000384 rearing effect Effects 0.000 claims description 9
- 238000000926 separation method Methods 0.000 claims description 6
- 238000002955 isolation Methods 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 3
- 238000009395 breeding Methods 0.000 abstract description 5
- 230000001488 breeding effect Effects 0.000 abstract description 5
- 241000894007 species Species 0.000 description 4
- 241000404975 Synchiropus splendidus Species 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000000366 juvenile effect Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K61/00—Culture of aquatic animals
- A01K61/90—Sorting, grading, counting or marking live aquatic animals, e.g. sex determination
- A01K61/95—Sorting, grading, counting or marking live aquatic animals, e.g. sex determination specially adapted for fish
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K63/00—Receptacles for live fish, e.g. aquaria; Terraria
- A01K63/02—Receptacles specially adapted for transporting live fish
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- Environmental Sciences (AREA)
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- Marine Sciences & Fisheries (AREA)
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Abstract
The invention discloses a live fish classifying and conveying device based on artificial intelligent identification, which is mainly characterized in that the traditional artificial catching and separating mode is managed mechanically, so that the culture production is more industrialized and intelligent. Simultaneously carry out relevant physical examination to the fish of transporting through artificial intelligence discernment at the in-process of mechanical device transportation fish, judge whether healthy to go out the fish, transport the fish to breed in the different culture ponds according to the length of body size of fish simultaneously. Compared with the traditional method, the device screens the fishes through a mechanical device, firstly selects normal fishes and possibly diseased fishes (conventional diseases or body surface damage), and then conveys the fishes to different culture ponds through different fish conveying pipelines according to the sizes of the fishes. Meanwhile, the device further comprises a counting and counting module which is used for counting the classified data and transmitting the classified data into the terminal, so that the later-stage breeding data can be conveniently applied to front-end production.
Description
Technical Field
The invention belongs to the technical field of live fish separation, and particularly relates to a live fish classifying and conveying device based on artificial intelligence recognition.
Background
At present, in order to reduce cost and reasonably utilize culture space in the industrial culture process, the breeding can adopt higher density for feeding in the juvenile period of cultured species, so that the utilization rate of a culture field is improved, the use of early-stage labor is reduced, and meanwhile, high-efficiency management is realized.
In the later stage of cultivation, along with the continuous growth of the cultivated species, the density of cultivation in the cultivation pond needs to be reduced by separated pond cultivation so as to reduce the pressure of unit water body and simultaneously facilitate the growth of the cultivated species.
In the conventional method for transporting the fish, a large amount of manpower is required, and stress and body surface trauma may be generated to the fish during transportation due to the irregular operation of workers. In addition, in the transferring process, workers are difficult to judge whether the fish is diseased or not, meanwhile, enough time is not provided for correspondingly classifying the fish to be transferred according to the size, and the unified feeding of the fish with similar size and specification cannot be realized. The cultivation effect can be reduced if the difference is too large, self-disabled phenomena can occur if carnivorous species such as percolated mandarin fish are bred, and the poor cultivation quality caused by the overlarge difference of the fish size can influence the selling price after the mandarin fish is bred.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art, and provides a live fish classifying and conveying device based on artificial intelligence identification, which screens out diseased and poor-physique fish, and separately cultivates the fish according to the consistency of the size and the specification, so that the optimal cultivation effect is achieved, and safe transportation and optimization of the fish are realized.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a live fish classified conveying device based on artificial intelligence recognition comprises an isolation net, a fish sucking machine, a conveying pipeline, a disease diagnosis platform, a size recognition system and a control center;
the separation net is used for gathering the fishes to be classified to increase the density of the fishes in the unit water body, so that the subsequent fish sucking machine can work conveniently;
the suction pipe of the fish sucking machine is arranged in the water pool, the output pipe is connected with the inlet of the conveying pipeline, meanwhile, the fish sucking machine is provided with a transfer bin, the fish sucking machine extracts water and air in the fish sucking machine through a vacuum machine to generate negative pressure for providing suction, and the water in the water pool flows towards the inner direction of the conveying pipeline and enters the transfer bin of the fish sucking machine;
an eccentric rotating wheel is arranged in the fish sucking machine, fish entering the transfer bin is pushed into an output pipe of the fish sucking machine through the rotating wheel, and meanwhile, the input pipe and the output pipe of the fish sucking machine are mutually isolated and cannot be mutually influenced, so that uninterrupted operation is achieved;
the transport pipeline is provided with a first outlet and a second outlet, the first outlet is connected with the temporary culture pond, the second outlet is connected with the size identification system, and the size identification system is connected with each culture pond; gates are arranged at the first outlet, the second outlet and the conveying pipeline openings leading to the culture ponds with different sizes, and the opening and closing of each gate are controlled by a control center;
the disease diagnosis platform is arranged in the conveying pipeline in front of the first outlet and the second outlet and is used for detecting and distinguishing healthy fish and diseased fish;
the size identification system is arranged in the conveying pipeline behind the second outlet and in front of the culture ponds with different sizes and is used for identifying the size of the fish.
In order to optimize the technical scheme, the specific measures adopted further comprise:
the disease diagnosis platform is provided with a fish health index database, and the disease diagnosis platform diagnoses and distinguishes diseased fish and healthy fish by comparing the acquired information of the fish to be classified with fish health indexes in the fish health index database.
The size identification system collects size data of all parts of the fish to be classified, estimates the weight of the fish according to the size data, and further identifies the serial number of the corresponding culture pond into which the fish to be classified subsequently enters.
The control center controls the gates to open and close according to the data of the disease diagnosis platform and the size recognition system, and the initial states of the gates are closed;
when the fish to be classified diagnosed by the disease diagnosis platform is diseased fish, the control center controls the gate at the first outlet to open so that the fish to be classified enters the temporary rearing pond, otherwise, the gate at the second outlet is opened so that the fish to be classified enters the identification area of the size identification system;
when the size recognition system recognizes the serial number of the culture pond corresponding to the fish to be classified, the control center controls the gate leading to the pipeline opening of the culture pond with the corresponding serial number to be opened, so that the fish to be classified enters the culture pond with the corresponding size.
The live fish classifying and conveying device classifies one fish to be classified at a time.
The control center also comprises a counting and counting module which is used for counting the classified data and transmitting the classified data into the terminal, so that the later-stage breeding data can be conveniently applied to front-end production.
A method for classifying and conveying live fishes based on a live fish classification device identified by artificial intelligence comprises the following steps:
(1) the separation net is used for gathering the fishes to be classified to increase the density of the fishes in the unit water body, so that the subsequent fish sucking machine can work conveniently;
(2) the fish sucking machine sucks the water flow in the water pool, so that the water flow flows to the inner direction of the conveying pipeline, and then the fish to be classified is sucked into the fish sucking machine along the water flow and is conveyed into the conveying pipeline;
(3) information data of the fishes to be classified are collected when the fishes to be classified pass through a diagnosis area of the disease diagnosis platform, the collected information data of the fishes to be classified are compared with index data in a fish health index database, and then diseased fishes and healthy fishes are diagnosed and distinguished, if the diagnosed fishes to be classified are diseased fishes, a control center controls a gate at a first outlet to be opened, so that the fishes to be classified enter a temporary rearing pond for temporary rearing and subsequent treatment is carried out, otherwise, the step (4) is carried out;
(4) the control center controls the gate at the second outlet to be opened, so that the fish to be classified enters the identification area of the size identification system;
(5) the size identification system identifies the size of the fish to be classified, the weight of the fish is obtained according to the size data, and the control center controls the gate leading to the conveying pipeline of the culture pond with the corresponding size to be opened, so that the fish to be classified enters the culture pond with the corresponding size through the conveying pipeline, and the classified conveying is finished.
The invention has the following beneficial effects:
mainly manage traditional manual fishing and separating mode through mechanization, so that the cultivation production is more industrialized and intelligent. Simultaneously carry out relevant physical examination to the fish of transporting through artificial intelligence discernment at the in-process of mechanical device transportation fish, judge whether healthy to go out the fish, transport the fish to breed in the different culture ponds according to the length of body size of fish simultaneously.
Compared with the traditional method, the device screens the fishes through a mechanical device, firstly selects normal fishes and possibly diseased fishes (conventional diseases or body surface damage), and then conveys the fishes to different culture ponds through different fish conveying pipelines according to the sizes of the fishes. Meanwhile, the device further comprises a counting and counting module which is used for counting the classified data and transmitting the classified data into the terminal, so that the later-stage breeding data can be conveniently applied to front-end production.
Drawings
FIG. 1 is a schematic flow chart of the operation of the apparatus of the present invention;
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
The invention relates to a live fish classification conveying device based on artificial intelligence identification, which comprises an isolation net, a fish sucking machine, a conveying pipeline, a disease diagnosis platform, a size identification system and a control center, wherein the isolation net is arranged on the conveying pipeline;
the separation net is used for gathering fishes to be classified to increase the density of the fishes in the unit water body, and is convenient for the subsequent work of the fish sucking machine
The suction pipe of the fish suction machine is arranged in the water pool, the output pipe is connected with the inlet of the conveying pipeline, and the fish suction machine is provided with a 1m fish suction machine3The fish sucking machine extracts water and air in the fish sucking machine through the vacuum machine to generate negative pressure for providing suction force, so that the water in the water pool flows towards the inner direction of the conveying pipeline and enters the interior of the fish sucking machine transfer bin;
an eccentric rotating wheel is arranged in the fish sucking machine, fish entering the transfer bin is pushed into an output pipe of the fish sucking machine through the rotating wheel, and meanwhile, the input pipe and the output pipe of the fish sucking machine are mutually isolated and cannot be mutually influenced, so that uninterrupted operation is achieved;
the transport pipeline is provided with a first outlet and a second outlet, the first outlet is connected with the temporary culture pond, the second outlet is connected with the size identification system, and the size identification system is connected with each culture pond; gates are arranged at the first outlet, the second outlet and the conveying pipeline openings leading to the culture ponds with different sizes, and the opening and closing of each gate are controlled by a control center;
the disease diagnosis platform is arranged in the conveying pipeline in front of the first outlet and the second outlet and is used for detecting and distinguishing healthy fish and diseased fish;
the size identification system is arranged in the conveying pipeline behind the second outlet and in front of the culture ponds with different sizes and is used for identifying the size of the fish.
In the embodiment, the disease diagnosis platform is provided with a fish health index database, and the disease diagnosis platform diagnoses and distinguishes diseased fish and healthy fish by comparing the acquired information of the fish to be classified with fish health indexes in the fish health index database.
In the embodiment, the size identification system collects the sizes of the fishes to be classified (the data comprises the overall length, the body length, the head length, the trunk length, the tail length, the kissing length, the eye diameter, the eye back head length, the body height and the tail handle height), estimates the weight according to the body length, and further identifies the size of the culture pond corresponding to the fishes to be classified according to the body length and the weight.
In the embodiment, the control center controls the gates to open and close according to the data of the disease diagnosis platform and the size identification system, and the initial states of the gates are all closed;
when the fish to be classified diagnosed by the disease diagnosis platform is diseased fish, the control center controls the gate at the first outlet to open so that the fish to be classified enters the temporary rearing pond, otherwise, the gate at the second outlet is opened so that the fish to be classified enters the identification area of the size identification system;
when the size recognition system recognizes the serial number of the culture pond corresponding to the fish to be classified, the control center controls the gate leading to the pipeline opening of the culture pond with the corresponding serial number to be opened, so that the fish to be classified enters the culture pond with the corresponding size.
In an embodiment, the live fish classifying and conveying device classifies one fish to be classified at a time.
In an embodiment, the control center further comprises a counting and counting module for counting the classification data and transmitting the classification data into the terminal, so that the later-stage breeding data can be conveniently applied to front-end production.
Referring to fig. 1, a method for classifying and conveying live fish by using a live fish classification device based on artificial intelligence recognition comprises the following steps:
(1) the separation net is used for gathering the fishes to be classified to increase the density of the fishes in the unit water body, so that the subsequent fish sucking machine can work conveniently;
(2) the fish sucking machine sucks the water flow in the water pool, so that the water flow flows to the inner direction of the conveying pipeline, and then the fish to be classified flows into the fish sucking machine along the water flow and is conveyed into the conveying pipeline;
(3) information data of the fishes to be classified are collected when the fishes to be classified pass through a diagnosis area of the disease diagnosis platform, the collected information data of the fishes to be classified are compared with index data in a fish health index database, and then diseased fishes and healthy fishes are diagnosed and distinguished, if the diagnosed fishes to be classified are diseased fishes, a control center controls a gate at a first outlet to be opened, so that the fishes to be classified enter a temporary rearing pond for temporary rearing and subsequent treatment is carried out, otherwise, the step (4) is carried out;
(4) the control center controls the gate at the second outlet to be opened, so that the fish to be classified enters the identification area of the size identification system;
(5) the size identification system identifies the size of the fish to be classified, the weight of the fish is obtained according to the size data, and the control center controls the gate leading to the conveying pipeline of the culture pond with the corresponding size to be opened, so that the fish to be classified enters the culture pond with the corresponding size, and classified conveying is finished.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (7)
1. A live fish classification conveying device based on artificial intelligence recognition is characterized by comprising an isolation net, a fish sucking machine, a conveying pipeline, a disease diagnosis platform, a size recognition system and a control center;
the separation net is used for gathering the fishes to be classified to increase the density of the fishes in the unit water body, so that the subsequent fish sucking machine can work conveniently;
the suction pipe of the fish sucking machine is arranged in the water pool, the output pipe is connected with the inlet of the conveying pipeline, meanwhile, the fish sucking machine is provided with a transfer bin, the fish sucking machine extracts water and air in the fish sucking machine through a vacuum machine to generate negative pressure for providing suction, and the water in the water pool flows towards the inner direction of the conveying pipeline and enters the transfer bin of the fish sucking machine;
an eccentric rotating wheel is arranged in the fish sucking machine, fish entering the transfer bin is pushed into an output pipe of the fish sucking machine through the rotating wheel, and meanwhile, the input pipe and the output pipe of the fish sucking machine are mutually isolated and cannot be mutually influenced, so that uninterrupted operation is achieved;
the transport pipeline is provided with a first outlet and a second outlet, the first outlet is connected with the temporary culture pond, the second outlet is connected with the size identification system, and the size identification system is connected with each culture pond; gates are arranged at the first outlet, the second outlet and the conveying pipeline openings leading to the culture ponds with different sizes, and the opening and closing of each gate are controlled by a control center;
the disease diagnosis platform is arranged in the conveying pipeline in front of the first outlet and is used for detecting and distinguishing healthy fish and diseased fish;
the size identification system is arranged in the conveying pipeline behind the second outlet and in front of the culture ponds with different sizes and is used for identifying the size of the fish.
2. The classified live fish conveying device based on artificial intelligence identification as claimed in claim 1, wherein the disease diagnosis platform is provided with a fish health index database, and the disease diagnosis platform diagnoses and distinguishes diseased fish and healthy fish by comparing the collected information of the fish to be classified with fish health indexes in the fish health index database.
3. The artificial intelligence recognition-based live fish classifying and conveying device as claimed in claim 1, wherein the size recognition system collects size data of each part of the fish to be classified, estimates the weight of the fish according to the size data, and further recognizes a serial number of a culture pond into which the fish to be classified subsequently enters.
4. The artificial intelligence recognition-based live fish classifying and conveying device as claimed in claim 1, wherein the control center controls the gates to open and close according to data of the disease diagnosis platform and the size recognition system, and the gates are all closed in an initial state;
when the fish to be classified diagnosed by the disease diagnosis platform is diseased fish, the control center controls the gate at the first outlet to open so that the fish to be classified enters the temporary rearing pond, otherwise, the gate at the second outlet is opened so that the fish to be classified enters the identification area of the size identification system;
when the size recognition system recognizes the serial number of the culture pond corresponding to the fish to be classified, the control center controls the gate leading to the pipeline opening of the culture pond with the corresponding serial number to be opened, so that the fish to be classified enters the culture pond with the corresponding size.
5. The artificial-intelligence-recognition-based live fish sorting and conveying device according to any one of claims 1 to 4, wherein the live fish sorting and conveying device sorts one fish to be sorted at a time.
6. The artificial-intelligence-recognition-based live fish classifying and conveying device as claimed in claim 5, wherein the control center further comprises a counting and counting module for counting and transmitting the classified data into the terminal, so as to facilitate the application of the post-culture data to front-end production.
7. The method for classifying and conveying the live fish based on the artificial intelligent identification live fish classifying device according to claim 6, which comprises the following steps:
(1) gathering fishes to be classified together by the isolation net to increase the density of fish schools in a unit water body;
(2) the fish sucking machine sucks water flow in the water tank, so that the water flow flows to the inner direction of the conveying pipeline, and then the fish to be classified flows into the fish sucking machine along the water flow and then is transferred into the conveying pipeline;
(3) information data of the fishes to be classified are collected when the fishes to be classified pass through a diagnosis area of the disease diagnosis platform, the collected information data of the fishes to be classified are compared with index data in a fish health index database, and then diseased fishes and healthy fishes are diagnosed and distinguished, if the diagnosed fishes to be classified are diseased fishes, a control center controls a gate at a first outlet to be opened, so that the fishes to be classified enter a temporary rearing pond for temporary rearing and subsequent treatment is carried out, otherwise, the step (4) is carried out;
(4) the control center controls the gate at the second outlet to be opened, so that the fish to be classified enters the identification area of the size identification system;
(5) the size identification system identifies the size of the fish to be classified, the weight of the fish is obtained according to the size data, and the control center controls the gate leading to the conveying pipeline of the culture pond with the corresponding size to be opened, so that the fish to be classified enters the culture pond with the corresponding size through the conveying pipeline, and the classified conveying is finished.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112088820A (en) * | 2020-08-13 | 2020-12-18 | 中国电建集团华东勘测设计研究院有限公司 | Live fish sorting device and sorting method thereof |
| CN112889712A (en) * | 2021-01-28 | 2021-06-04 | 海南昌江元道养殖有限公司 | Standardized healthy breeding method for high-quality golden pomfret |
| CN114419364A (en) * | 2021-12-24 | 2022-04-29 | 华南农业大学 | Intelligent fish sorting method and system based on deep feature fusion |
| CN115024265A (en) * | 2022-06-24 | 2022-09-09 | 中国海洋大学 | Fish counting device and counting method thereof |
| CN117562012A (en) * | 2023-12-27 | 2024-02-20 | 青岛农业大学 | Intelligent fry specification color gender screening system based on morphological metering feature recognition |
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| CN112088820A (en) * | 2020-08-13 | 2020-12-18 | 中国电建集团华东勘测设计研究院有限公司 | Live fish sorting device and sorting method thereof |
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| CN114419364A (en) * | 2021-12-24 | 2022-04-29 | 华南农业大学 | Intelligent fish sorting method and system based on deep feature fusion |
| CN114419364B (en) * | 2021-12-24 | 2024-07-23 | 华南农业大学 | Intelligent fish sorting method and system based on deep feature fusion |
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| CN117562012A (en) * | 2023-12-27 | 2024-02-20 | 青岛农业大学 | Intelligent fry specification color gender screening system based on morphological metering feature recognition |
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Application publication date: 20200811 |