CN112042582A - Remote bait observation system for Internet of things of aquaculture pond - Google Patents
Remote bait observation system for Internet of things of aquaculture pond Download PDFInfo
- Publication number
- CN112042582A CN112042582A CN202010892332.0A CN202010892332A CN112042582A CN 112042582 A CN112042582 A CN 112042582A CN 202010892332 A CN202010892332 A CN 202010892332A CN 112042582 A CN112042582 A CN 112042582A
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- internet
- data
- things
- cloud server
- mobile phone
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K61/00—Culture of aquatic animals
- A01K61/80—Feeding devices
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/15—Fishing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
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- 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
Abstract
The invention discloses a remote bait observation system for an internet of things of an aquaculture pond, which comprises a 4G camera, a feed observation platform, a lifting motor, a control module, a data wired transmission module, a data wireless transmission module, an internet of things cloud server, a decision-making mobile phone, a worker mobile phone and a data display and query machine, wherein the feed observation platform is arranged on the feed observation platform; the lifting motor is arranged above the water surface and is connected with the feed observation platform through a lifting rope; an upper limit switch and a lower limit switch are arranged on the control module; the data wired transmission module exchanges data with the Internet of things cloud server through the data wireless transmission module, and the Internet of things cloud server is internally provided with a visual software image processing module; and the decision mobile phone, the worker mobile phone and the data display and query machine are communicated with the Internet of things cloud server. The invention has the following advantages: can long-range automatic observation pond bait condition of ingesting, exempt from artifical scene to look over, reduce the recruitment cost, promote aquaculture industry grade.
Description
Technical Field
The invention relates to the technical field of fish culture, in particular to a remote bait observation system for an aquaculture pond internet of things.
Background
The essence of aquaculture is the process of changing the materials, i.e. the process of converting feed or fertilizer into water products by aquaculture. The yield per unit area of aquaculture and the economic benefit depend to a great extent on whether the bait used is reasonable or not and on whether the bait feeding technology is scientific or not. For aquaculture, the correct and reasonable selection of baits and the scientific and reasonable feeding are the keys for promoting the quick growth of cultured animals, improving the conversion rate of the baits, reducing the bait cost and improving the economic benefit. Bait feeding is a key link in aquaculture, and only by correctly grasping the bait feeding quantity and scientifically feeding, the bait utilization rate can be improved, and the yield, income and efficiency of aquatic products are increased. At present, the research on aquatic products mostly focuses on the aspects of aquaculture technology, nutrition and bait development, and the report on scientific bait feeding is rare. The research result in this aspect is important for developing aquaculture industry, improving benefit, saving cost and protecting environment. Therefore, it is very important to scientifically grasp the bait feeding in aquaculture. The bait casting technology comprises the determination of bait casting amount, bait casting time, bait casting times, a bait casting method and a bait casting principle. The proper bait feeding amount for aquaculture is one of the keys for ensuring the growth speed, bait efficiency and economic benefit of aquatic animals. The reasonable bait feeding amount has two meanings, namely meeting the requirements of the aquatic species on nutrient substances and meeting the satiety of the aquatic species. If the bait throwing amount is too large, the digestibility of the fish to the nutrient substances in the bait is influenced, so that the conversion rate of the bait is reduced; if the bait throwing amount is too small, the proportion of the part of nutrient substances of the bait used for maintaining the fish metabolism is higher, and the proportion of the part used for growth is lower, so that the bait conversion rate is lower, the aquatic products are not uniformly eaten, the individual size difference is very different, some aquatic products are in a half-hungry state for a long time, the growth of the aquatic products is inhibited, the bait waste is caused, and the normal growth of the aquatic products is influenced. Therefore, the determination of the proper feeding amount of the bait is very important. Heretofore, the food intake of the baits in the aquaculture ponds is basically checked by technicians on site by using a bait observation platform. The approximate method is that a 4G camera is arranged in a pond to observe the ingestion condition of floating baits, the method cannot observe the ingestion of sinking baits, or an underwater 4G camera can be arranged to observe, but cannot observe under the condition that pond water is turbid or the 4G camera is dirty, and can spend a large amount of time when the breeding area is too large, the pond is too much, the rainy day and the road are muddy, and the like, and the feeding amount of baits at the next time cannot be timely determined, but the traditional solution is to increase technical personnel, thereby increasing the breeding cost and reducing the breeding profit. The traditional observation of bait feeding condition is not beneficial to the development of the aquaculture industry to the intellectualization aspect.
Disclosure of Invention
The invention aims to solve the problems in the background technology and provides an Internet of things remote bait observation system for an aquaculture pond.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a remote bait observation system of an Internet of things for an aquaculture pond comprises a 4G camera, a feed observation platform, a lifting motor, a control module, a data wired transmission module, a data wireless transmission module, an Internet of things cloud server, a decision mobile phone, a worker mobile phone and a data display query machine; the lifting motor is arranged above the water surface and is connected with the feed observation platform through a lifting rope; the 4G camera, the lifting motor and the data wired transmission module are electrically connected with the control module, and an upper limit switch and a lower limit switch are arranged on the control module; the data wired transmission module exchanges data with the Internet of things cloud server through the data wireless transmission module, and a visual software image processing module is arranged in the Internet of things cloud server; and the decision mobile phone, the worker mobile phone and the data display and query machine are communicated with the cloud server of the Internet of things.
As a preferable scheme, a power module is arranged on the control module.
Preferably, the 4G camera is arranged on the fixing rod.
The invention has the following advantages: can long-range automatic observation pond bait condition of ingesting, exempt from artifical scene to look over, each pond bait condition of ingesting surveyability, bait feeding plan next time of quick accurate formulation reduces the recruitment cost, promotes aquaculture industry grade, and the direction of intelligent development is marched.
Drawings
Fig. 1 is a schematic structural view of the present invention.
As shown in the figure: 1. 4G camera, 2, fodder observation desk, 3, promote the motor, 4, control module, 5, data wired transmission module, 6, data wireless transmission module, 7, thing networking cloud ware, 8, decision cell-phone, 9, workman's cell-phone, 10, data display inquiry machine, 11, the surface of water, 12, the lifting rope, 13, upper and lower limit switch, 14, vision software image processing module, 15, power module, 16, dead lever.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings.
Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
With the combination of the attached drawings, the remote bait observation system for the aquaculture pond internet of things comprises a 4G camera 1, a feed observation platform 2, a lifting motor 3, a control module 4, a data wired transmission module 5, a data wireless transmission module 6, an internet of things cloud server 7, a decision mobile phone 8, a worker mobile phone 9 and a data display query machine 10; the lifting motor 3 is arranged above the water surface 11, and the lifting motor 3 is connected with the feed observation platform 2 through a lifting rope 12; the 4G camera 1, the lifting motor 3 and the data wired transmission module 5 are electrically connected with the control module 4, and an upper limit switch and a lower limit switch 13 are arranged on the control module 4; the data wired transmission module 5 exchanges data with the internet of things cloud server 7 through the data wireless transmission module 6, and a visual software image processing module 14 is arranged in the internet of things cloud server 7; the decision mobile phone 8, the worker mobile phone 9 and the data display query machine 10 are communicated with the Internet of things cloud server 7, the control module 4 is provided with a power supply module 15, and the 4G camera 1 is arranged on a fixing rod 16.
The working principle of the invention is as follows: the internet of things cloud server issues a bait observing instruction at regular time, the instruction is sent to the data wired transmission module through the data wireless transmission module, the data wired transmission module issues the data to the control module, the control module controls the lifting motor to operate in the forward direction, when the bait observing platform is lifted to the water surface position, the upper limit switch and the lower limit switch are closed, the lifting motor stops working, the 4G camera captures a plurality of photos of the bait platform and sends the photos to the internet of things cloud server, the lifting motor operates in the reverse direction to send the bait observing platform to the water bottom, the upper limit switch and the lower limit switch are closed, the lifting motor stops working, the internet of things cloud server processes the captured photos through the visual software image processing module to obtain the bait allowance, a decision-making user checks picture information and the allowance calculated by the visual software image processing module through a decision-making, after the confirmation, the bait is delivered to a mobile phone of a worker or an automatic bait casting device, and the worker feeds the bait according to the given bait casting quantity of each pond.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features. The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (3)
1. The utility model provides a long-range bait observation system of aquaculture pond thing networking which characterized in that: the intelligent feed monitoring system comprises a 4G camera, a feed observation platform, a lifting motor, a control module, a data wired transmission module, a data wireless transmission module, an Internet of things cloud server, a decision mobile phone, a worker mobile phone and a data display query machine;
the lifting motor is arranged above the water surface and is connected with the feed observation platform through a lifting rope;
the 4G camera, the lifting motor and the data wired transmission module are electrically connected with the control module, and an upper limit switch and a lower limit switch are arranged on the control module;
the data wired transmission module exchanges data with the Internet of things cloud server through the data wireless transmission module, and a visual software image processing module is arranged in the Internet of things cloud server;
and the decision mobile phone, the worker mobile phone and the data display and query machine are communicated with the cloud server of the Internet of things.
2. The remote bait observation system for the internet of things of aquaculture ponds according to claim 1, which is characterized in that: the control module is provided with a power module.
3. The remote bait observation system for the internet of things of aquaculture ponds according to claim 1, which is characterized in that: the 4G camera set up on the dead lever.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010892332.0A CN112042582A (en) | 2020-08-31 | 2020-08-31 | Remote bait observation system for Internet of things of aquaculture pond |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010892332.0A CN112042582A (en) | 2020-08-31 | 2020-08-31 | Remote bait observation system for Internet of things of aquaculture pond |
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| Publication Number | Publication Date |
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| CN112042582A true CN112042582A (en) | 2020-12-08 |
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| CN202010892332.0A Pending CN112042582A (en) | 2020-08-31 | 2020-08-31 | Remote bait observation system for Internet of things of aquaculture pond |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204045001U (en) * | 2014-09-01 | 2014-12-24 | 青岛罗博飞海洋技术有限公司 | A kind of underwater environment long distance control system based on Internet of Things |
| CN105145451A (en) * | 2015-10-19 | 2015-12-16 | 浙江大学 | Intelligent and accurate bait casting system and method used for fishes and shrimps |
| CN205040438U (en) * | 2015-08-31 | 2016-02-24 | 上海市水产研究所 | Bait platform for pond culture |
| CN106442914A (en) * | 2016-10-20 | 2017-02-22 | 姜海 | Internet-based gas supersaturation biological monitoring device |
| CN107094683A (en) * | 2017-04-13 | 2017-08-29 | 同济大学 | The Autoamtic bait putting and water quality monitoring control system and method for a kind of aquaculture |
| CN108338107A (en) * | 2018-04-08 | 2018-07-31 | 浙江省淡水水产研究所 | Material technique is efficiently looked into a kind of Macrobrachium rosenbergii pond culture |
| WO2020046524A1 (en) * | 2018-08-27 | 2020-03-05 | Aquabyte, Inc. | Automatic feed pellet monitoring based on camera footage in an aquaculture environment |
-
2020
- 2020-08-31 CN CN202010892332.0A patent/CN112042582A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204045001U (en) * | 2014-09-01 | 2014-12-24 | 青岛罗博飞海洋技术有限公司 | A kind of underwater environment long distance control system based on Internet of Things |
| CN205040438U (en) * | 2015-08-31 | 2016-02-24 | 上海市水产研究所 | Bait platform for pond culture |
| CN105145451A (en) * | 2015-10-19 | 2015-12-16 | 浙江大学 | Intelligent and accurate bait casting system and method used for fishes and shrimps |
| CN106442914A (en) * | 2016-10-20 | 2017-02-22 | 姜海 | Internet-based gas supersaturation biological monitoring device |
| CN107094683A (en) * | 2017-04-13 | 2017-08-29 | 同济大学 | The Autoamtic bait putting and water quality monitoring control system and method for a kind of aquaculture |
| CN108338107A (en) * | 2018-04-08 | 2018-07-31 | 浙江省淡水水产研究所 | Material technique is efficiently looked into a kind of Macrobrachium rosenbergii pond culture |
| WO2020046524A1 (en) * | 2018-08-27 | 2020-03-05 | Aquabyte, Inc. | Automatic feed pellet monitoring based on camera footage in an aquaculture environment |
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Application publication date: 20201208 |