CN110915734A - Aquaculture system based on Internet of things - Google Patents
Aquaculture system based on Internet of things Download PDFInfo
- Publication number
- CN110915734A CN110915734A CN201911125237.1A CN201911125237A CN110915734A CN 110915734 A CN110915734 A CN 110915734A CN 201911125237 A CN201911125237 A CN 201911125237A CN 110915734 A CN110915734 A CN 110915734A
- Authority
- CN
- China
- Prior art keywords
- parameters
- aquaculture
- internet
- things
- pond
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 244000144974 aquaculture Species 0.000 title claims abstract description 161
- 238000009360 aquaculture Methods 0.000 title claims abstract description 160
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 133
- 238000012545 processing Methods 0.000 claims abstract description 44
- 230000007613 environmental effect Effects 0.000 claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 11
- 230000006855 networking Effects 0.000 claims abstract description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 31
- 239000001301 oxygen Substances 0.000 claims description 31
- 229910052760 oxygen Inorganic materials 0.000 claims description 31
- 238000011217 control strategy Methods 0.000 claims description 21
- 230000008859 change Effects 0.000 claims description 17
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 10
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 claims description 9
- 230000012447 hatching Effects 0.000 claims description 8
- MYMOFIZGZYHOMD-UHFFFAOYSA-N Dioxygen Chemical compound O=O MYMOFIZGZYHOMD-UHFFFAOYSA-N 0.000 claims description 7
- 229910002651 NO3 Inorganic materials 0.000 claims description 7
- NHNBFGGVMKEFGY-UHFFFAOYSA-N Nitrate Chemical compound [O-][N+]([O-])=O NHNBFGGVMKEFGY-UHFFFAOYSA-N 0.000 claims description 7
- IOVCWXUNBOPUCH-UHFFFAOYSA-M Nitrite anion Chemical compound [O-]N=O IOVCWXUNBOPUCH-UHFFFAOYSA-M 0.000 claims description 7
- 238000005273 aeration Methods 0.000 claims description 7
- 238000009395 breeding Methods 0.000 claims description 6
- 230000001488 breeding effect Effects 0.000 claims description 6
- 238000005286 illumination Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 5
- 208000010824 fish disease Diseases 0.000 claims description 5
- 229910052757 nitrogen Inorganic materials 0.000 claims description 5
- 230000001954 sterilising effect Effects 0.000 claims description 5
- 238000009423 ventilation Methods 0.000 claims description 5
- 238000003745 diagnosis Methods 0.000 claims description 4
- 239000012528 membrane Substances 0.000 claims description 4
- 239000004576 sand Substances 0.000 claims description 4
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 3
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 3
- 238000007648 laser printing Methods 0.000 claims description 3
- 229910052698 phosphorus Inorganic materials 0.000 claims description 3
- 239000011574 phosphorus Substances 0.000 claims description 3
- 230000037396 body weight Effects 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 abstract description 16
- 230000000694 effects Effects 0.000 abstract description 11
- 230000004083 survival effect Effects 0.000 abstract description 6
- 238000009825 accumulation Methods 0.000 abstract description 4
- 230000007774 longterm Effects 0.000 abstract description 4
- 239000003440 toxic substance Substances 0.000 abstract description 3
- 231100000167 toxic agent Toxicity 0.000 abstract 1
- 239000000047 product Substances 0.000 description 86
- 238000000034 method Methods 0.000 description 17
- 230000008569 process Effects 0.000 description 11
- 201000010099 disease Diseases 0.000 description 8
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 8
- 241000196324 Embryophyta Species 0.000 description 7
- 230000002159 abnormal effect Effects 0.000 description 6
- 230000001276 controlling effect Effects 0.000 description 6
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 4
- 238000006213 oxygenation reaction Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 241000251468 Actinopterygii Species 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 2
- 241000238557 Decapoda Species 0.000 description 2
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 2
- 241000700605 Viruses Species 0.000 description 2
- CVTZKFWZDBJAHE-UHFFFAOYSA-N [N].N Chemical compound [N].N CVTZKFWZDBJAHE-UHFFFAOYSA-N 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 238000012258 culturing Methods 0.000 description 2
- 238000013136 deep learning model Methods 0.000 description 2
- 239000013505 freshwater Substances 0.000 description 2
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 231100000614 poison Toxicity 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 241000894007 species Species 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 1
- 235000017166 Bambusa arundinacea Nutrition 0.000 description 1
- 235000017491 Bambusa tulda Nutrition 0.000 description 1
- 241001330002 Bambuseae Species 0.000 description 1
- 241000233866 Fungi Species 0.000 description 1
- 206010021143 Hypoxia Diseases 0.000 description 1
- 235000015334 Phyllostachys viridis Nutrition 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 239000003242 anti bacterial agent Substances 0.000 description 1
- 229940088710 antibiotic agent Drugs 0.000 description 1
- 239000011425 bamboo Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003115 biocidal effect Effects 0.000 description 1
- 239000013043 chemical agent Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000001647 drug administration Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 239000005556 hormone Substances 0.000 description 1
- 229940088597 hormone Drugs 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000011534 incubation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 239000000178 monomer Substances 0.000 description 1
- 230000001473 noxious effect Effects 0.000 description 1
- 244000045947 parasite Species 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 230000003134 recirculating effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 239000002910 solid waste Substances 0.000 description 1
- 238000004659 sterilization and disinfection Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 239000002352 surface water Substances 0.000 description 1
Images
Classifications
-
- 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
- A01K63/003—Aquaria; Terraria
-
- 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
- A01K61/10—Culture of aquatic animals of fish
- A01K61/17—Hatching, e.g. incubators
-
- 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
- A01K63/04—Arrangements for treating water specially adapted to receptacles for live fish
-
- 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
- A01K63/04—Arrangements for treating water specially adapted to receptacles for live fish
- A01K63/042—Introducing gases into the water, e.g. aerators, air pumps
-
- 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
- A01K63/04—Arrangements for treating water specially adapted to receptacles for live fish
- A01K63/045—Filters for aquaria
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/80—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
- Y02A40/81—Aquaculture, e.g. of fish
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Animal Husbandry (AREA)
- Biodiversity & Conservation Biology (AREA)
- Zoology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Farming Of Fish And Shellfish (AREA)
Abstract
The invention discloses an aquaculture system based on the Internet of things, which comprises an Internet of things control center, at least one water quality detection sensor and an image sensor, wherein the Internet of things control center is connected with the image sensor; the thing networking control center includes: data processing unit, image processing unit, the order generates the unit, the order control unit, this aquaculture system carries out indoor culture, divide the pond to breed the aquatic products of different growth stages, adopt multiple sensor equipment, carry out comprehensive monitoring to the water quality parameter in the aquaculture pond and the image information of aquatic products, the environmental parameter that can real-time control aquaculture and the activity condition of aquatic products, avoid because of the unusual gathering of aquatic products group or toxic substance long-term accumulation, and lead to the aquaculture to receive the pollution, and then improve the aquaculture survival rate, can optimize the input of early stage, the whole aquatic products production process of complete control, reduce the aquaculture risk of aquatic products, reduce cost, can also dispose the resource according to own actual need and production scale are nimble, realize closed-loop aquaculture automation.
Description
Technical Field
The invention relates to the technical field of aquaculture management, in particular to an aquaculture system based on the Internet of things.
Background
The traditional aquaculture industry is mainly pond and greenhouse, the uncontrollable factors of the environmental factors in the aquaculture process are more, the water body is polluted in different degrees, and the long-term accumulation of toxic substances causes that the traditional aquaculture mode is eating by the day, the hidden danger of diseases is serious, and the yield mode is unstable. And in the culture process, diseases are not prevented and controlled, so that chemical agents, antibiotics and the like are excessively used, and healthy and environment-friendly aquatic products are difficult to produce.
In recent years, industrial recirculating aquaculture is increasingly becoming a trend, but the characteristics of high technology, high investment and high maintenance lead to large investment in early construction, long recovery period and sharply improved operation and management difficulty, higher requirements are provided for the technical level and the operation and maintenance capability of personnel engaged in the aquaculture industry, accurate measurement and regulation of a plurality of environment control variables related to industrial aquaculture are difficult to carry out only by manual field management, and the problems are not solved by a more effective method at present. Therefore, there is a need for an aquaculture system that can accurately monitor environmental factors and achieve timely regulation.
Disclosure of Invention
To the above problems in the prior art, an aquaculture system based on the internet of things is provided.
The specific technical scheme is as follows:
the invention comprises an aquaculture system based on the Internet of things, which is arranged in a culture room, wherein the aquaculture system is used for separately culturing aquatic products in different growth stages, the aquaculture system comprises an Internet of things control center, various first parameter thresholds corresponding to various water quality parameters in a culture pond are stored in the Internet of things control center in advance, and the aquaculture system also comprises:
the water quality detection sensors are respectively arranged in the culture pond, each water quality detection sensor is in communication connection with the Internet of things control center, and is used for monitoring water quality parameters in the culture pond in real time and uploading the water quality parameters to the Internet of things control center, wherein the water quality parameters comprise at least one type of parameters of temperature parameters, dissolved oxygen parameters, pH value parameters, turbidity parameters, ammonia nitrogen parameters, nitrate parameters and nitrite parameters;
the image sensor is arranged in the culture pond, is in communication connection with the Internet of things control center, is used for acquiring image information of the aquatic product in real time and uploading the image information to the Internet of things control center, and comprises a moving image and a moving video of the aquatic product;
the thing networking control center includes:
the data processing unit is used for receiving the water quality parameters and comparing the water quality parameters with the corresponding first parameter threshold values respectively so as to output a first comparison result;
the image processing unit is used for receiving the image information of the aquatic product, carrying out fish disease diagnosis and abnormity discrimination on the aquatic product according to the image information and outputting a discrimination result;
the command generating unit is respectively connected with the data processing unit and the image processing unit and used for generating a first control command corresponding to the change of various water quality parameters and the change of the image information of the aquatic products according to the first comparison result and the judgment result;
the command control unit is connected with the command generation unit and used for receiving the first control command and executing a first control strategy corresponding to the change of various water quality parameters and the change of the image information of the aquatic products according to the first control command so as to ensure that the aquaculture system is dynamically balanced;
the first control strategy comprises a control strategy for changing the working state of at least one device of a water circulation treatment device, a feeding device and an emergency liquid oxygen device which are arranged in the culture pond.
Preferably, the water circulation treatment device is at least provided with one, is respectively arranged in the culture pond and is used for respectively adjusting the water quality parameters of the culture water in the culture pond, and the water quality parameters comprise at least one type of parameters of temperature parameters, water level parameters, salinity parameters, dissolved oxygen parameters, pH value parameters, total nitrogen TAN parameters, nitrate parameters, nitrite parameters, total phosphorus parameters and alkalinity parameters.
Preferably, the water circulation treatment device comprises: one or more of a rotary drum vacuum filter, a biological filter, an aeration oxygen increasing device, a PH regulator, an ultraviolet sterilizer, an ozone sterilizer and a temperature control device.
Preferably, the water circulation treatment device further comprises at least one source water treatment device, which is arranged at an inlet of the culture pond and used for obtaining source water injected into the culture pond, filtering and sterilizing the source water to obtain culture water for treatment, and the culture water is circularly injected into the culture pond.
Preferably, the source water treatment apparatus includes: a combination of one or more of a tube filter, a sand filter, an ultra-membrane filter, an ozone sterilizer, and an ultraviolet sterilizer.
Preferably, the aquaculture system comprises at least one environment detection sensor which is respectively arranged in the aquaculture room, each environment detection sensor is in communication connection with the internet of things control center and is used for monitoring various environment parameters in the aquaculture room in real time and uploading the environment parameters to the internet of things control center, and the environment parameters comprise at least one type of parameters of temperature parameters, humidity parameters, environment component parameters and illumination parameters;
the Internet of things control center prestores various second parameter thresholds respectively corresponding to various environmental parameters in the breeding room;
the data processing unit is further used for receiving various environmental parameters, and comparing the various environmental parameters with various pre-stored second parameter thresholds respectively so as to output a second comparison result;
the command generating unit is further used for generating a second control command corresponding to the change of various environmental parameters according to the second comparison result;
the command control unit is further used for receiving the second control command and executing a second control strategy corresponding to the change of various environmental parameters according to the second control command;
the second control strategy comprises a control strategy for changing the working state of at least one of a ventilation device, a room temperature control device and an indoor lighting device which are arranged in the breeding room.
Preferably, the culture ponds for the separated culture at least comprise a hatching pond, a first-stage culture pond, a second-stage culture pond and a finished product culture pond;
the aquaculture system sequentially cultures different types of aquaculture in the hatching pond, the first-stage culture pond, the second-stage culture pond and the finished product culture pond according to a preset growth period or growth size.
Preferably, the aquaculture system adopts a containing device with preset length and volume to sample and measure the body length or the weight of finished aquatic products of different batches, so as to judge whether the aquatic products in the aquaculture pond reach the standard in the weight parameter and the size parameter, and when the aquatic products reach the standard, the aquaculture system controls an aquatic product capturing and marking device to mark the aquatic products to be ready for fishing out of the factory.
Preferably, the aquatic product capturing and marking device marks aquatic products by at least one of RFID, label tag and laser printing identification to trace the aquatic products.
Preferably, the culture pond is a circular pond or a square corner cutting pond or a rectangular runway pond or a D-shaped runway pond.
The invention provides an aquaculture system based on the Internet of things, which has the beneficial effects that:
(1) the aquaculture system can be used for indoor culture of aquatic products such as seawater or freshwater fish, shrimp, crab and the like, and is used for performing pond-by-pond culture on the aquatic products in different growth stages, so that the early investment can be optimized, the whole aquaculture production process can be completely controlled, the aquaculture risk is reduced, and the cost is reduced;
(2) the aquaculture system comprises a plurality of sensor devices, adopts a modular design, comprehensively monitors water quality parameters and image information of aquatic products in an aquaculture pond, can control the environmental parameters of aquaculture and the activity condition of the aquatic products in real time, avoids the pollution of aquaculture water caused by abnormal aggregation of aquatic product groups or long-term accumulation of toxic substances, and further improves the survival rate of aquaculture;
(3) the aquaculture system is controlled by the Internet of things control center, and control instructions are sent to the execution units by combining with the monitoring parameters, so that the water quality parameters reach the environmental indexes for aquaculture, and the water plant aquaculture system can flexibly configure resources according to the actual needs and the production scale of the aquaculture system, thereby realizing closed-loop aquaculture automation.
Drawings
Embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings. The drawings are, however, to be regarded as illustrative and explanatory only and are not restrictive of the scope of the invention.
Fig. 1 is a schematic block diagram of an internet of things based aquaculture system according to a first embodiment of the present invention;
FIG. 2 is a schematic block diagram of an Internet of things based aquaculture system according to a second embodiment of the present invention;
fig. 3 is a schematic block diagram of an internet of things-based aquaculture system according to a third embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
The invention comprises an aquaculture system based on the Internet of things, wherein the aquaculture system is arranged in a culture room and is used for carrying out pond-divided culture on aquatic products in different growth stages, and a culture pond for the pond-divided culture at least comprises an incubation pond, a first-stage culture pond, a second-stage culture pond and a finished product culture pond; the aquaculture system sequentially cultures different types of aquatic products in the hatching pond, the first-stage culture pond, the second-stage culture pond and the finished product culture pond according to a preset growth period or growth size.
The culture ponds can be one or one group, and can be circular ponds, square corner-cut ponds, rectangular runway ponds or D-shaped runway ponds.
In this embodiment, the aquaculture system can be used for indoor aquaculture of marine or freshwater fish, shrimp, crab, etc. and is used for pond-by-pond aquaculture of different growth stages, wherein each stage is determined mainly by aquaculture time (different duration of each stage of different aquaculture species), and the size of the aquaculture is sampled (length, weight, etc.).
Further, the volume of a single pond is larger in the culture pond at the later growth stage. For example, the volumes of the hatching pond, the first-stage culture pond, the second-stage culture pond and the finished product culture pond are sequentially increased, and in order to completely control the production process and reduce the culture risk of seedlings with diseases, a farm with corresponding technical capability correspondingly cultures in the hatching pond from the hatching of the seedlings, and finally achieves the target size of finished products and salvages the finished products to leave the factory through different culture stages.
Furthermore, the embodiment can optimize the investment in the early stage, completely control the whole aquatic product production process, reduce the aquaculture risk and reduce the cost.
The first embodiment is as follows:
as shown in fig. 1, the aquaculture system includes an internet of things control center 1, the internet of things control center 1 prestores various first parameter thresholds corresponding to various water quality parameters in the culture pond, and the aquaculture system further includes:
the water quality detection sensors 2 are respectively arranged in the culture pond, each water quality detection sensor 2 is in communication connection with the Internet of things control center, is used for monitoring water quality parameters in the culture pond in real time and uploading the water quality parameters to the Internet of things control center, and the water quality parameters comprise at least one type of parameters of temperature parameters, dissolved oxygen parameters, pH value parameters, turbidity parameters, ammonia nitrogen parameters, nitrate parameters and nitrite parameters;
thing networking control center 1 includes:
a data processing unit 10, configured to receive the water quality parameters, and compare the water quality parameters with the corresponding first parameter thresholds, respectively, so as to output a first comparison result;
a command generating unit 12 connected to the data processing unit 10 for generating a first control command corresponding to the change of various water quality parameters according to the first comparison result;
the command control unit 13 is connected with the command generation unit 12 and used for receiving the first control command and executing a first control strategy corresponding to the change of various water quality parameters according to the first control command so as to dynamically balance the aquaculture system;
the first control strategy includes a control strategy for changing the operating state of at least one of the water circulation treatment device 130, the feeding device 131 and the emergency liquid oxygen device 132 disposed in the culture pond.
In the above technical solution, as a preferred embodiment, at least one water circulation processing device 130 is disposed in each of the cultivation ponds, and is used for respectively adjusting water quality parameters of cultivation water in each of the cultivation ponds, where the water quality parameters include at least one of a temperature parameter, a water level parameter, a salinity parameter, a dissolved oxygen parameter, a PH parameter, a total nitrogen TAN parameter, a nitrate parameter, a nitrite parameter, a total phosphorus parameter, and an alkalinity parameter, and the present invention is not limited thereto.
In this embodiment, the water circulation processing device 130 is disposed in the cultivation pond, or can be connected to the cultivation pond through a power pump to adjust the water quality parameter of the cultivation water in the cultivation pond. For example, the water circulation treatment device 130 includes: one or more of a rotary drum vacuum filter, a biological filter, an aeration oxygen increasing device, a PH regulator, an ultraviolet sterilizer, an ozone sterilizer and a temperature control device.
In the technical scheme, the rotary drum vacuum filter is used for filtering and discharging solid wastes such as excrement, feed residues, molting and the like in the culture water; the biological filter is used for removing harmful pollutants such as ammonia gas, nitrate, nitrite and the like in the culture water; the aeration oxygenation device is used for removing harmful substances such as carbon dioxide, nitrogen, hydrogen sulfide and the like dissolved in water and increasing dissolved oxygen; the biological filter can increase the acidity of the aquaculture water, and the pH index of the aquaculture water can be regulated by the pH regulator to be stabilized in an ideal range of the aquaculture water; the ultraviolet sterilizer and the ozone sterilizer are respectively used for killing bacteria, viruses, fungi, parasites and the like, and the ultraviolet sterilizer is only used for sterilization under normal conditions; the temperature control device can ensure that the water temperature of the aquaculture water is kept in an ideal temperature range.
Note that, in this embodiment, the water circulation treatment device 130 includes: the rotary drum vacuum filter, the biological filter, the aeration and oxygenation device, the pH regulator, the ultraviolet sterilizer, the ozone sterilizer and the temperature control device can be realized by adopting devices in the prior art, and in the implementation process of the project, the water quality parameters regulated in each water circulation treatment device 130 can determine the regulation range according to the actual local water quality condition, and are not limited in the invention, and are not described herein again.
In the first embodiment, the water quality detecting sensor 2 may be at least one of a temperature sensor, a humidity sensor, a dissolved oxygen sensor, a PH sensor, a turbidity sensor, a nitrogen ammonia sensor, and the like. And the antibiotic detection sensor and the hormone detection sensor can be arranged in the culture pond for the actual needs, so that the drug administration condition in the aquaculture process can be monitored in real time.
Further, this aquaculture system is including using multiple sensor device, adopts the modularized design, carries out comprehensive monitoring to the quality of water parameter in the aquaculture pond, can real time control aquaculture's environmental parameter, avoids because of the long-term accumulation of noxious material, and leads to the breed water to receive the pollution to improve aquaculture's survival rate.
For example, when the data processing unit 10 of the internet of things control center 1 receives that the dissolved oxygen of the current aquaculture water monitored by the dissolved oxygen sensor is lower than the preset dissolved oxygen, the data processing unit instructs the control unit 13 to control and execute the increase or turn on of the power output of the aeration and oxygenation device in the water circulation processing device 130; similarly, when the dissolved oxygen of the current aquaculture water monitored by the dissolved oxygen sensor received by the data processing unit 10 reaches the preset dissolved oxygen, the command control unit 13 controls to reduce or close the power output of the aeration and oxygenation device in the water circulation processing device 130.
Furthermore, the control center 1 of the internet of things is used for controlling, dissolved oxygen parameters monitored by the dissolved oxygen sensor are combined, a control instruction is sent to the command control unit 13, the command control unit 13 controls the corresponding execution unit to enable the dissolved oxygen parameters to reach the environmental indexes of aquaculture, and the aquaculture system of the water plant can flexibly configure resources according to the actual needs and the production scale of the aquaculture system, so that closed-loop aquaculture automation is realized.
By extension, when the data processing unit 10 of the internet of things control center 1 receives that the PH value of the current aquaculture water monitored by the PH sensor is lower than the preset PH value, the data processing unit instructs the control unit 13 to control and execute the increase of the drip flow rate of the PH regulator in the water circulation processing device 130; similarly, when the data processing unit 10 receives that the PH value of the current aquaculture water monitored by the PH sensor reaches the preset PH value, the control unit 13 is instructed to perform the control to reduce or close the drip flow rate of the PH regulator in the water circulation processing device 130.
Furthermore, the control center 1 of the internet of things is used for controlling, and the PH parameters monitored by the PH sensor are combined to send control instructions to the command control unit 13, the command control unit 13 controls the corresponding execution unit to enable the PH value to reach the environmental index of aquaculture, and the aquaculture system of the water plant can flexibly configure resources according to the actual needs and the production scale of the aquaculture system, so that closed-loop aquaculture automation is realized.
It should be noted that, the first embodiment of the present technical solution is described by two embodiments, but the first embodiment is not limited to the two embodiments, and is not described herein again.
Example two:
as shown in fig. 2, the aquaculture system includes an internet of things control center 1, and the aquaculture system further includes:
the image sensor 3 is arranged in the culture pond, the image sensor 3 is in communication connection with the Internet of things control center 1 and used for acquiring image information of aquatic products in real time and uploading the image information to the Internet of things control center, and the image information comprises moving images and moving videos of the aquatic products;
the image processing unit 11 is used for receiving image information of the aquatic product, carrying out fish disease diagnosis and abnormity monitoring on the aquatic product according to the image information and outputting a judgment result;
a command generating unit 12 connected to the image processing unit 11 for generating a first control command corresponding to the image information for changing the aquatic products according to the determination result;
a command control unit 13 connected to the command generation unit 12 for receiving the first control command and executing a first control strategy corresponding to the changed image information of the aquatic product according to the first control command, so as to dynamically balance the aquaculture system;
the first control strategy includes a control strategy for changing the operating state of at least one of the water circulation treatment device 130, the feeding device 131 and the emergency liquid oxygen device 132 disposed in the culture pond.
In this embodiment, the image sensor 3 can select a camera or a camera, and can collect image information of the aquatic product in real time, wherein the image information comprises a moving image and a moving video of the aquatic product, for example, the group activity condition of the aquatic product; by extension, the image sensor 3 can also collect the underwater environment of the culture water, such as turbidity of the culture water; and uploading to the internet of things control center 1 in real time.
Further, the image processing unit 11 collects an artificial intelligence algorithm to diagnose fish diseases and monitor abnormalities of aquatic products, and the specific implementation process includes collecting a large amount of activity data of the aquatic products, respectively obtaining training sets according to the collected activity data of the aquatic products, then performing deep learning on the obtained training sets and establishing deep learning models respectively, inputting received aquatic product image information to the trained deep learning models for judgment, and then outputting judgment results. It should be noted that the artificial intelligence algorithm can also be implemented by using an artificial intelligence algorithm and an application in the prior art, but the technical scheme and the technical effect of the present invention are not affected, and are not described herein again.
For example, the fish disease diagnosis and the abnormal monitoring can be further judged by utilizing the artificial intelligence algorithm for judgment, wherein the abnormal activity in the image information of the current aquatic product can be received by the image processing unit 11 of the internet of things control center 1, whether the dissolved oxygen in the culture pond is normal or not can be judged, and alarm information can be sent out in time or automatic analysis and alarm can be carried out on the aquatic product with diseases under the abnormal condition.
Furthermore, the aquaculture system comprises an image sensor, the underwater environment in the aquaculture pond and the image information of the aquatic products are comprehensively monitored, the underwater environment in the aquaculture pond and the activity condition of the aquatic products can be controlled in real time, and the reduction of the survival rate of aquaculture caused by the fact that abnormal conditions or diseases cannot be timely remedied or alarm information cannot be sent out is avoided.
For example, when the image processing unit 11 of the internet of things control center 1 receives the image information of the current aquatic product and the aquatic product is abnormally gathered in a certain area, it indicates that the dissolved oxygen in the aquaculture water is insufficient, and the aquatic product is likely to gather in a place with high dissolved oxygen, which causes a large amount of aquatic product to gather and causes a sudden decrease in the dissolved oxygen in the gathering area and an oxygen deficiency of the aquaculture water, and meanwhile, when the data processing unit 10 of the internet of things control center 1 receives that the dissolved oxygen of the current aquaculture water monitored by the dissolved oxygen sensor is lower than a preset dissolved oxygen, the control unit 13 is instructed to control the emergency liquid oxygen device 132 to be turned on and operate, so as to input pure oxygen into the aquaculture pond, so as to keep the dissolved oxygen in the aquaculture pond within a preset threshold value as soon as possible, and. However, when the data processing unit 10 receives that the dissolved oxygen of the current aquaculture water monitored by the dissolved oxygen sensor reaches the preset dissolved oxygen, the command control unit 13 controls the emergency liquid oxygen device 132 to be closed.
For example, when the image processing unit 11 of the internet of things control center 1 receives the image information of the current aquatic product, and the aquatic product is abnormally overturned, it indicates that some aquatic products in the culture pond suffer from diseases, for example, the aquatic product bleeds or floats on the surface of the culture pond, and the automatic alarm system is correspondingly started, so as to avoid affecting the normal activities of other aquatic products or avoiding infecting viruses to other aquatic products by manually fishing the aquatic products with diseases.
For example, when the image processing unit 11 of the internet of things control center 1 receives the image information of the current aquatic product and the turbidity of the underwater environment is relatively large, or the turbidity in the culture pond is relatively large as detected by the turbidity sensor, it can be further determined that the feed deposition amount in the culture pond is increased, and the control unit 13 is correspondingly instructed to control and execute the reduction of the feeding amount of the automatic feeding device 131, the increase of the feeding interval or the change of the feeding position.
Furthermore, the aquaculture system comprises an image sensor, the underwater environment in the aquaculture pond and the image information of the aquatic products are comprehensively monitored, the underwater environment in the aquaculture pond and the activity condition of the aquatic products can be controlled in real time, and the reduction of the survival rate of aquaculture caused by the fact that abnormal conditions or diseases cannot be timely remedied or alarm information cannot be sent out is avoided.
It should be noted that, in the above technical solution, the feeding device 131 may adopt an artificial feeding machine for feeding the feed at regular time and quantity, and may also adopt an automatic feeding machine, and the internet of things control center 1 may calculate the optimal feeding amount of each aquatic product in advance, where the optimal feeding amount includes the feed feeding amount, the feeding interval, and the feeding position, and the calculation of the optimal feeding amount of each aquatic product may be calculated according to the growth cycle of each aquatic product, and the specific calculation amount may be realized by using the techniques in the prior art.
Example three:
as shown in fig. 3, in the above technical solution, as a preferred embodiment, the aquaculture system includes at least one environment detection sensor 4, which is respectively disposed in the aquaculture room, each environment detection sensor 4 is in communication connection with the internet of things control center 1, and is used to monitor various environment parameters in the aquaculture room in real time and upload the environment parameters to the internet of things control center 1, where the environment parameters include at least one of a temperature parameter, a humidity parameter, an environment component parameter, and an illumination parameter;
the Internet of things control center prestores various second parameter thresholds respectively corresponding to various environmental parameters in the breeding room;
the data processing unit is also used for receiving various environmental parameters, and respectively comparing the various environmental parameters with various pre-stored second parameter thresholds so as to output a second comparison result;
the command generating unit is also used for generating a second control command corresponding to the change of various environmental parameters according to the second comparison result;
the command control unit is also used for receiving a second control command and executing a second control strategy corresponding to the change of various environmental parameters according to the second control command;
the second control strategy comprises a control strategy for changing the operating state of at least one of the ventilation means 133, the room temperature control means 134, and the indoor lighting means 135, which are arranged in the cultivation room.
In this embodiment, the aquaculture system is disposed in the aquaculture room, and is also an important key factor for aquaculture and the environment in the aquaculture room, and in order to achieve complete controllability in the production process, reduce the risk of breeding diseased seedlings, and improve the production yield of the aquaculture, the environment in the aquaculture room is monitored in real time, for example, at least one of the temperature parameter, the humidity parameter, the carbon dioxide parameter, the hydrogen sulfide parameter, the nitrogen parameter, and the mask parameter in the aquaculture room can be monitored in real time, which is not limited in the present invention.
Further, the environment detection sensor 4 may be at least one of a temperature sensor, a humidity sensor, a nitrogen ammonia sensor, and an illuminance sensor. This aquaculture system adopts the modularized design including using multiple sensor device, carries out comprehensive monitoring to the indoor environmental parameter of aquaculture, can real time control aquaculture room's environmental parameter, improves aquaculture's survival rate to productivity gain.
For example, when the data processing unit 10 of the internet of things control center 1 receives that the humidity parameter in the current cultivation room monitored by the humidity sensor is higher than the preset humidity threshold, the control unit 13 is instructed to control to open the ventilation device 133; similarly, when the data processing unit 10 of the internet of things control center 1 receives that the humidity parameter in the current cultivation room monitored by the humidity sensor reaches the preset humidity threshold, the control unit 13 is instructed to control to close or close the ventilation device 133.
Furthermore, the control center 1 of the internet of things is used for controlling, and in combination with humidity parameters in the aquaculture room monitored by the humidity sensor, a control instruction is sent to the command control unit 13, the command control unit 13 controls the corresponding execution unit to enable the humidity parameters to reach the environmental indexes of aquaculture, and the aquaculture system can flexibly configure resources according to the actual needs and the production scale of the aquaculture system, so that closed-loop aquaculture automation is realized.
For example, when the data processing unit 10 of the internet of things control center 1 receives that the temperature parameter in the current cultivation room monitored by the temperature sensor is higher than the preset temperature threshold, the control unit 13 is instructed to control to execute increasing or open the room temperature control device 134; similarly, when the data processing unit 10 of the internet of things control center 1 receives that the temperature parameter in the current cultivation room monitored by the temperature sensor reaches the preset temperature threshold, the command control unit 13 controls to execute the closing or close the room temperature control device 134.
Furthermore, the control center 1 of the internet of things is used for controlling, and the temperature parameters in the culture room monitored by the temperature sensor are combined to send control instructions to the command control unit 13, the command control unit 13 controls the corresponding execution unit to enable the temperature parameters to reach the environmental indexes for culturing aquatic products, and the water plant culture system can flexibly configure resources according to the actual needs and the production scale of the water plant culture system, so that closed-loop aquatic product automatic culture is realized.
For example, when the data processing unit 10 of the internet of things control center 1 receives that the illuminance parameter in the current cultivation room monitored by the illuminance sensor is lower than the preset illuminance threshold, the control unit 13 is instructed to control and execute the turning on of the indoor lighting device 135; similarly, when the data processing unit 10 of the internet of things control center 1 receives that the illuminance parameter in the current cultivation room monitored by the illuminance sensor reaches the preset illuminance threshold, the control unit 13 is instructed to control and execute the turning off of the indoor lighting device 135.
Furthermore, the control center 1 of the internet of things is used for controlling, and the illumination parameter in the aquaculture room monitored by the illumination sensor is combined to send a control instruction to the command control unit 13, the command control unit 13 controls the corresponding execution unit to enable the illumination parameter to reach the environmental index of aquaculture, and the aquaculture system of the water plant can flexibly configure resources according to the actual needs and production scale of the aquaculture system, so that closed-loop aquaculture automation is realized.
Example four:
in a preferred embodiment, the water circulation processing device 130 further comprises at least one source water processing device disposed at the inlet of the culture pond for obtaining source water injected into the culture pond and filtering and sterilizing the source water to process the source water to obtain culture water, wherein the culture water is circulated in the culture pond.
In this embodiment, the source water treatment device is disposed at the inlet of the culture pond, i.e., connected to the inlet of the water circulation treatment device 130, and is used for filtering and sterilizing the source water of the input culture water, and the source water treatment device filters harmful impurities and kills harmful bacteria and microorganisms from the source water of underground water, surface water and other water sources, and then inputs the source water into the culture pond to supplement tail water discharged in the culture process. Wherein, source water treatment facilities includes: a combination of one or more of a tube filter, a sand filter, an ultra-membrane filter, an ozone sterilizer, and an ultraviolet sterilizer.
It should be noted that, in this embodiment, the inclined tube filter, the sand filter, the ultra-membrane filter, the ozone sterilizer, and the ultraviolet sterilizer included in the source water treatment apparatus may all be implemented by apparatuses in the prior art, and in the implementation process of the project, the source water treatment apparatus to be specifically loaded may be determined according to the actual local water quality condition, which is not limited in the present invention and will not be described herein again.
The aquaculture system can be developed by sampling and measuring the body length or the weight of finished aquatic products of different batches by adopting a containing device with preset length and volume so as to judge whether the weight parameters and the size parameters of the aquatic products in the aquaculture pond reach the standard or not, and controlling an aquatic product capturing and marking device to mark the aquatic products when the weight parameters and the size parameters of the aquatic products reach the standard so as to prepare for fishing and leaving the factory. For example, the containing device can select a bamboo basket, and the aquatic product is ready to be fished out of the factory when the weight parameters and the size parameters of the aquatic product are met. The aquatic product capturing and marking device marks the aquatic product by at least one of methods of RFID, label tag and laser printing identification so as to trace the source of the aquatic product.
It should be noted that the accommodating device with the preset length and the preset volume is set according to the production standard of the aquatic products in actual conditions, namely, whether the weight parameters of the aquatic products reach the standard is judged according to the proportion of the weight of the aquatic products to the quantity of the aquatic products which can be placed in the accommodating device, and similarly, whether the size parameters of the aquatic products reach the standard is measured according to the length and the size of the accommodating device, and when the two parameters reach the standard, the aquatic products can be fished out of the factory. Of course, the method can also be implemented by technical means in the prior art, and the technical scheme and technical effect of the invention are not affected, and are not described herein again.
The method has the advantages that the method can be expanded, the aquaculture production process can carry out the step-by-step pool cultivation in the pool-by-pool cultivation, each step is mainly determined according to the cultivation time (different durations of different aquatic species in each step), the sampling (body length, weight and the like) of the aquatic products is carried out at the same time, the Internet of things control center 1 serves as a system core and controls the whole growth period of the aquatic products, and the Internet of things control center 1 can comprehensively optimize a plurality of parameters (water temperature, feeding frequency and the like) in the cultivation process according to different species, different target monomer weights and harvesting periods (the time that the unit price is the highest is often in the new year, the spring festival and the like) so as to track the source of the.
Furthermore, the aquaculture system is controlled by the Internet of things control center 1, and the water plant aquaculture system can flexibly configure resources according to the actual needs and production scale of the aquaculture system, so that closed-loop aquaculture automation is realized.
It should be noted that, for different aquatic products, the process of optimizing each parameter preset by the internet of things control center 1 can be implemented by the prior art, and the process does not affect the technical scheme and the technical effect of the present invention, and is not described herein again.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides an aquaculture system based on thing networking, aquaculture system sets up in the breed indoorly, a serial communication port, aquaculture system is used for dividing the pond to breed the aquatic products of different growth stages, aquaculture system includes a thing networking control center, thing networking control center prestore have corresponding to breed all kinds of first parameter threshold values of all kinds of water quality parameters in the pond, aquaculture system still includes:
the water quality detection sensors are respectively arranged in the culture pond, each water quality detection sensor is in communication connection with the Internet of things control center, and is used for monitoring water quality parameters in the culture pond in real time and uploading the water quality parameters to the Internet of things control center, wherein the water quality parameters comprise at least one type of parameters of temperature parameters, dissolved oxygen parameters, pH value parameters, turbidity parameters, ammonia nitrogen parameters, nitrate parameters and nitrite parameters;
the image sensor is arranged in the culture pond, is in communication connection with the Internet of things control center, is used for acquiring image information of the aquatic product in real time and uploading the image information to the Internet of things control center, and comprises a moving image and a moving video of the aquatic product;
the thing networking control center includes:
the data processing unit is used for receiving the water quality parameters and comparing the water quality parameters with the corresponding first parameter threshold values respectively so as to output a first comparison result;
the image processing unit is used for receiving the image information of the aquatic product, carrying out fish disease diagnosis and abnormity discrimination on the aquatic product according to the image information and outputting a discrimination result;
the command generating unit is respectively connected with the data processing unit and the image processing unit and used for generating a first control command corresponding to the change of various water quality parameters and the change of the image information of the aquatic products according to the first comparison result and the judgment result;
the command control unit is connected with the command generation unit and used for receiving the first control command and executing a first control strategy corresponding to the change of various water quality parameters and the change of the image information of the aquatic products according to the first control command so as to ensure that the aquaculture system is dynamically balanced;
the first control strategy comprises a control strategy for changing the working state of at least one device of a water circulation treatment device, a feeding device and an emergency liquid oxygen device which are arranged in the culture pond.
2. The aquaculture system based on the internet of things of claim 1, wherein at least one water circulation treatment device is arranged in each of the culture ponds and used for respectively adjusting water quality parameters of culture water in the culture ponds, and the water quality parameters comprise at least one of temperature parameters, water level parameters, salinity parameters, dissolved oxygen parameters, pH value parameters, total nitrogen TAN parameters, nitrate parameters, nitrite parameters, total phosphorus parameters and alkalinity parameters.
3. The internet of things-based aquaculture system of claim 2, wherein said water circulation treatment device comprises: one or more of a rotary drum vacuum filter, a biological filter, an aeration oxygen increasing device, a PH regulator, an ultraviolet sterilizer, an ozone sterilizer and a temperature control device.
4. The aquaculture system based on the internet of things of claim 1, wherein the water circulation treatment device further comprises at least one source water treatment device, which is arranged at an inlet of the culture pond and is used for obtaining source water injected into the culture pond, filtering and sterilizing the source water so as to treat and obtain culture water, and the culture water is circularly injected into the culture pond.
5. The internet of things-based aquaculture system of claim 4, wherein said source water treatment device comprises: a combination of one or more of a tube filter, a sand filter, an ultra-membrane filter, an ozone sterilizer, and an ultraviolet sterilizer.
6. The internet-of-things-based aquaculture system of claim 1, comprising at least one environment detection sensor respectively arranged in the aquaculture room, wherein each environment detection sensor is in communication connection with the internet-of-things control center, and is used for monitoring various environment parameters in the aquaculture room in real time and uploading the environment parameters to the internet-of-things control center, wherein the environment parameters comprise at least one of temperature parameters, humidity parameters, environment composition parameters and illumination parameters;
the Internet of things control center prestores various second parameter thresholds respectively corresponding to various environmental parameters in the breeding room;
the data processing unit is further used for receiving various environmental parameters, and comparing the various environmental parameters with various pre-stored second parameter thresholds respectively so as to output a second comparison result;
the command generating unit is further used for generating a second control command corresponding to the change of various environmental parameters according to the second comparison result;
the command control unit is further used for receiving the second control command and executing a second control strategy corresponding to the change of various environmental parameters according to the second control command;
the second control strategy comprises a control strategy for changing the working state of at least one of a ventilation device, a room temperature control device and an indoor lighting device which are arranged in the breeding room.
7. The internet of things-based aquaculture system of claim 1, wherein said aquaculture ponds of said split-pond aquaculture comprise at least a hatching pond, a first-stage aquaculture pond, a second-stage aquaculture pond, and a finishing aquaculture pond;
the aquaculture system sequentially cultures different types of aquaculture in the hatching pond, the first-stage culture pond, the second-stage culture pond and the finished product culture pond according to a preset growth period or growth size.
8. The internet-of-things-based aquaculture system of claim 1, wherein the aquaculture system adopts a containing device with preset length and volume to sample and measure the body length or the body weight of different batches of finished aquatic products, so as to judge whether the aquatic products in the culture pond reach the standard in the weight parameter and the size parameter, and when the aquatic products reach the standard, the aquaculture system controls an aquatic product capturing and marking device to mark the aquatic products so as to be ready for fishing and leaving the factory.
9. The internet of things-based aquaculture system of claim 8, wherein the aquaculture capturing and marking device is marked by at least one of RFID, label tag and laser printing identification to trace the source of the aquaculture.
10. The internet of things-based aquaculture system of claim 1, wherein said aquaculture ponds are circular ponds or square corner cut ponds or rectangular raceway ponds or D-shaped raceway ponds.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911125237.1A CN110915734A (en) | 2019-11-18 | 2019-11-18 | Aquaculture system based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911125237.1A CN110915734A (en) | 2019-11-18 | 2019-11-18 | Aquaculture system based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110915734A true CN110915734A (en) | 2020-03-27 |
Family
ID=69853197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911125237.1A Pending CN110915734A (en) | 2019-11-18 | 2019-11-18 | Aquaculture system based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110915734A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113063462A (en) * | 2021-03-19 | 2021-07-02 | 东营市阔海水产科技有限公司 | Aquatic economic animal breeding monitoring and control system |
| CN113317243A (en) * | 2021-06-01 | 2021-08-31 | 贵州锦润水产品有限责任公司 | Disease prevention breeding method for zander |
| CN113516563A (en) * | 2021-07-21 | 2021-10-19 | 中国农业大学 | Fish culture environment adjusting method and system based on sensing data and storage medium |
| CN115443936A (en) * | 2022-09-13 | 2022-12-09 | 湖州师范学院 | Intelligent aquatic organism feeding control system and method, electronic equipment and storage medium |
| CN116339420A (en) * | 2023-02-24 | 2023-06-27 | 武汉市中易天地物联科技有限公司 | Intelligent equipment control method and system based on aquaculture |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104396850A (en) * | 2014-11-14 | 2015-03-11 | 江苏嘉成轨道交通安全保障***有限公司 | Industrial aquaculture system and intelligent control system thereof |
| CN206402937U (en) * | 2016-12-30 | 2017-08-15 | 河南省水产科学研究院 | Fish automatic measurement marking device |
| CN108496868A (en) * | 2018-04-09 | 2018-09-07 | 浙江庆渔堂农业科技有限公司 | High density breed in stew automatic feeding system based on technology of Internet of things |
| CN108901940A (en) * | 2018-06-19 | 2018-11-30 | 马鞍山松鹤信息科技有限公司 | A kind of aquaculture system of Internet of Things |
| CN109169480A (en) * | 2018-11-15 | 2019-01-11 | 徐二静 | A kind of fish pond intelligence cultivating system based on Internet of Things |
| CN109717120A (en) * | 2019-03-07 | 2019-05-07 | 河南牧业经济学院 | A kind of fish culture monitoring feeding system and method based on Internet of Things |
| CN110032153A (en) * | 2019-03-27 | 2019-07-19 | 陈小勇 | A kind of intelligent fishery cultivating system and application method based on Internet of Things |
| CN110352889A (en) * | 2019-07-22 | 2019-10-22 | 苏州益品德环境科技有限公司 | A kind of environment-friendlymodular modular Internet of Things+circulating water culture system |
-
2019
- 2019-11-18 CN CN201911125237.1A patent/CN110915734A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104396850A (en) * | 2014-11-14 | 2015-03-11 | 江苏嘉成轨道交通安全保障***有限公司 | Industrial aquaculture system and intelligent control system thereof |
| CN206402937U (en) * | 2016-12-30 | 2017-08-15 | 河南省水产科学研究院 | Fish automatic measurement marking device |
| CN108496868A (en) * | 2018-04-09 | 2018-09-07 | 浙江庆渔堂农业科技有限公司 | High density breed in stew automatic feeding system based on technology of Internet of things |
| CN108901940A (en) * | 2018-06-19 | 2018-11-30 | 马鞍山松鹤信息科技有限公司 | A kind of aquaculture system of Internet of Things |
| CN109169480A (en) * | 2018-11-15 | 2019-01-11 | 徐二静 | A kind of fish pond intelligence cultivating system based on Internet of Things |
| CN109717120A (en) * | 2019-03-07 | 2019-05-07 | 河南牧业经济学院 | A kind of fish culture monitoring feeding system and method based on Internet of Things |
| CN110032153A (en) * | 2019-03-27 | 2019-07-19 | 陈小勇 | A kind of intelligent fishery cultivating system and application method based on Internet of Things |
| CN110352889A (en) * | 2019-07-22 | 2019-10-22 | 苏州益品德环境科技有限公司 | A kind of environment-friendlymodular modular Internet of Things+circulating water culture system |
Non-Patent Citations (1)
| Title |
|---|
| 孙翰昌: "《现代水产养殖学的技术创新研究》", 30 April 2018 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113063462A (en) * | 2021-03-19 | 2021-07-02 | 东营市阔海水产科技有限公司 | Aquatic economic animal breeding monitoring and control system |
| CN113317243A (en) * | 2021-06-01 | 2021-08-31 | 贵州锦润水产品有限责任公司 | Disease prevention breeding method for zander |
| CN113516563A (en) * | 2021-07-21 | 2021-10-19 | 中国农业大学 | Fish culture environment adjusting method and system based on sensing data and storage medium |
| CN115443936A (en) * | 2022-09-13 | 2022-12-09 | 湖州师范学院 | Intelligent aquatic organism feeding control system and method, electronic equipment and storage medium |
| CN115443936B (en) * | 2022-09-13 | 2023-12-19 | 湖州师范学院 | Aquatic organism intelligent feeding control system and method, electronic equipment and storage medium |
| CN116339420A (en) * | 2023-02-24 | 2023-06-27 | 武汉市中易天地物联科技有限公司 | Intelligent equipment control method and system based on aquaculture |
| CN116339420B (en) * | 2023-02-24 | 2024-05-10 | 武汉市中易天地物联科技有限公司 | Intelligent equipment control method and system based on aquaculture |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110915734A (en) | Aquaculture system based on Internet of things | |
| JP2021524979A (en) | Integrated management platform for artificial eel seedlings and eels | |
| KR101752608B1 (en) | Eel nursery system | |
| CN206150196U (en) | Aquaculture system | |
| CN103197659B (en) | A kind of control method of adaptive dynamic optimization environmental quality | |
| KR101704970B1 (en) | Eel nursery device | |
| NO345829B1 (en) | C-fish – fish welfare control | |
| CN206940669U (en) | A kind of cultivation water regulation system | |
| KR20140124080A (en) | System for managing farming in farming building | |
| CN112243923A (en) | Aquaculture system based on Internet of things and control method thereof | |
| CN205922507U (en) | Intelligence aquaculture pond based on big data analysis | |
| CN205883318U (en) | Agricultural thing networking remote monitoring and control system | |
| CN110959561A (en) | Method and system for breeding marine animals | |
| AU2017201211A1 (en) | Eel aquaculture system using ict | |
| CN109375548A (en) | A kind of seawater purse seine intelligent cultivation system and method | |
| CN113126490A (en) | Intelligent frequency conversion oxygenation control method and device | |
| CN110032153A (en) | A kind of intelligent fishery cultivating system and application method based on Internet of Things | |
| CN107667960A (en) | A kind of high-density ecological intelligence fish pond system | |
| CN205959106U (en) | Aquaponics intelligence observing and controlling system | |
| CN110235813A (en) | A kind of aquaculture intelligent monitor system | |
| CN210726401U (en) | Aquaculture intelligent monitoring system | |
| Abdullah et al. | Development of aquaculture water quality real-time monitoring using multi-sensory system and internet of things | |
| CN117223666A (en) | Precise feeding intelligent system development platform for aquaculture environment and use method | |
| US20130186347A1 (en) | Cultivation of sustainable aquatic organisms using multitrophic closed systems | |
| KR20180080731A (en) | Control device of autimatic feeding level method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200327 |