CN113396856B - Seafood pond monitoring system - Google Patents
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- CN113396856B CN113396856B CN202110583836.9A CN202110583836A CN113396856B CN 113396856 B CN113396856 B CN 113396856B CN 202110583836 A CN202110583836 A CN 202110583836A CN 113396856 B CN113396856 B CN 113396856B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 144
- 235000014102 seafood Nutrition 0.000 title claims abstract description 112
- 238000007405 data analysis Methods 0.000 claims abstract description 27
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 68
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 51
- 229910052760 oxygen Inorganic materials 0.000 claims description 51
- 239000001301 oxygen Substances 0.000 claims description 51
- 238000005057 refrigeration Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000005494 condensation Effects 0.000 claims description 5
- 238000009833 condensation Methods 0.000 claims description 5
- 238000013473 artificial intelligence Methods 0.000 claims description 3
- 238000009395 breeding Methods 0.000 claims description 3
- 230000001488 breeding effect Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000009360 aquaculture Methods 0.000 description 4
- 244000144974 aquaculture Species 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000011084 recovery Methods 0.000 description 2
- 206010021143 Hypoxia Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006213 oxygenation reaction Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000004083 survival 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
- A01K63/00—Receptacles for live fish, e.g. aquaria; Terraria
- A01K63/003—Aquaria; Terraria
- A01K63/006—Accessories for aquaria or terraria
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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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- Economics (AREA)
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- Farming Of Fish And Shellfish (AREA)
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Abstract
The invention provides a seafood pool monitoring system in the technical field of intelligent seafood pools, which comprises: the data acquisition module is used for automatically uploading the monitoring data acquired by the sensor group and the running state of the equipment to the server in real time after each seafood pool is electrified; the data display archiving module is used for displaying the received monitoring data and the equipment running state in real time by the server, storing the monitoring data and setting a monitoring index group; the data monitoring module is used for monitoring the monitoring data by the server based on the monitoring index group; the big data analysis module is used for carrying out big data analysis on the monitoring data by the server and dynamically updating the monitoring index group; and the control instruction execution module is used for sending the input control instruction to the corresponding seafood pool by the server, dynamically adjusting the environmental parameters of the seafood pool, and verifying the adjustment result through the monitoring data and the equipment running state. The invention has the advantages that: the seafood pool is comprehensively monitored, and the seafood cultivation quality is greatly improved.
Description
Technical Field
The invention relates to the technical field of intelligent seafood pools, in particular to a seafood pool monitoring system.
Background
The seafood pool is a container for cultivating seafood, is widely applied to various commercial super and seafood markets, and is provided with a circulating water system, an oxygenation system, a refrigeration system and other systems to ensure the survival of the seafood. With the progress of science and technology and the rise of the Internet of things, intelligent seafood pools are also available in the market.
However, the traditional intelligent seafood pool is only limited to the connection between a mobile phone and the intelligent seafood pool established through Bluetooth or wifi, the intelligent seafood pool is simply operated through the mobile phone to start and shut down, the index data of the seafood pool are not monitored and subjected to big data analysis, a corresponding fault handling mechanism is not needed to deal with emergencies, the types of seafood cultivated in the seafood pool are numerous, the environments suitable for different seafood are different, and the seafood is easily dead when the environments are slightly changed.
Therefore, how to provide a seafood pond monitoring system, the realization is monitored to the seafood pond comprehensively, and then promotes the breed quality of seafood, becomes a problem that awaits solution urgently.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a seafood pool monitoring system, which can realize comprehensive monitoring on a seafood pool, and further improve the cultivation quality of seafood.
The invention is realized by the following steps: a seafood pool monitoring system comprises the following modules:
the data acquisition module is used for automatically uploading the monitoring data acquired by the sensor group and the running state of the equipment to the server in real time after each seafood pool is electrified;
the data display and archiving module is used for displaying the received monitoring data and the equipment running state in real time by the server, storing the monitoring data and setting a monitoring index group;
the data monitoring module is used for monitoring the monitoring data by the server based on the monitoring index group;
the big data analysis module is used for carrying out big data analysis on the monitoring data by the server and dynamically updating the monitoring index group;
and the control instruction execution module is used for sending the input control instruction to the corresponding seafood pool by the server, dynamically adjusting the environmental parameters of the seafood pool, and verifying the adjustment result through the monitoring data and the equipment running state.
Further, in the data acquisition module, the sensor group at least comprises a temperature sensor, a salinity sensor, a conductivity sensor, a dissolved oxygen sensor, a PH sensor, a water level sensor and a positioner.
Further, in the data acquisition module, the monitoring data at least includes water temperature of the filter vat, water temperature of the water tank, water outlet temperature, condensation temperature, exhaust temperature, salinity, conductivity, dissolved oxygen content, pH value, water level line and longitude and latitude.
Further, in the data acquisition module, the device operating state at least includes a unit state, an illumination lamp state, an ultraviolet lamp state, an oxygen pump state, a water pump state and a refrigerator state; the unit state is refrigeration constant temperature, refrigeration operation or shutdown.
Further, the data display archive module is specifically configured to:
and the server receives the monitoring data and the equipment running state in real time, displays the monitoring data and the equipment running state corresponding to each seafood pool on an electronic map based on the longitude and latitude, or displays the monitoring data and the equipment running state in a chart mode, stores the monitoring data for later-stage tracing and big data analysis, and sets a monitoring index group.
Further, in the data display and file module, the monitoring index group at least comprises upper and lower limits of water temperature of the filter barrel, upper and lower limits of water temperature of the water tank, upper and lower limits of water outlet temperature, upper and lower limits of condensing temperature, upper and lower limits of exhaust temperature, upper and lower limits of salinity, upper and lower limits of conductivity, upper and lower limits of dissolved oxygen content, upper and lower limits of pH value and upper and lower limits of water level line.
Further, the data monitoring module is specifically configured to:
the server monitors monitoring data based on the monitoring index group, judges whether the numerical value of the monitoring data is in the range of the monitoring index group, and continues monitoring if the numerical value of the monitoring data is in the range of the monitoring index group; if not, displaying an alarm, and sending an alarm short message to a pre-associated mobile phone or dialing an alarm call.
Further, the big data analysis module is specifically configured to:
and the server performs big data analysis on the monitoring data to generate an analysis result based on an artificial intelligence algorithm and the actual breeding condition of the seafood, and dynamically updates the monitoring index set based on the analysis result.
Further, the control instruction execution module is specifically configured to:
the method comprises the steps that a server obtains control commands of automatic switch-on and switch-off time of an illuminating lamp, automatic switch-on and switch-off time of an ultraviolet lamp, polling time of a main oxygen pump and a standby oxygen pump, temperature adjustment and dissolved oxygen content adjustment, wherein the control commands are input by a user, and the control commands are issued to corresponding seafood pools;
the seafood pool controls the operation of the illuminating lamp, the ultraviolet lamp, the main oxygen pump, the standby oxygen pump or the refrigerator based on the received control instruction, so that the environmental parameters of the seafood pool are dynamically adjusted, the adjustment result is verified according to the monitoring data and the running state of the equipment, and if the adjustment result passes the verification, the flow is ended; and if the seafood pool is not checked to be passed, the control instruction is continuously executed after the seafood pool is restarted.
Further, the system also comprises a water pump linkage module which is used for linking the refrigerator to stop when the server sets the water pump to stop.
The invention has the advantages that:
1. the server acquires monitoring data at least comprising water temperature of the filter barrel, water temperature of the water tank, water outlet temperature, condensation temperature, exhaust temperature, salinity, conductivity, dissolved oxygen content, pH value, water level line and longitude and latitude through a sensor group of the seafood pool, monitors the monitoring data in real time based on a set monitoring index group, and immediately gives an alarm when the monitoring data exceeds the range; the real breed condition of combining seafood carries out big data analysis to monitored data, judges the best aquaculture environment who is fit for different kind seafood, and dynamic update control index group again finally realizes monitoring seafood pond comprehensively to constantly adjust aquaculture environment through big data analysis, and then very big promotion the breed quality of seafood.
2. Whether the seafood pool has a fault or not can be judged by checking an adjusting result of a control instruction sent by a server by utilizing monitoring data and the running state of equipment, the seafood pool is automatically restarted when the fault exists, if the restarting frequency exceeds a set threshold value, the adjusting result is not checked, an alarm short message is sent to a pre-associated mobile phone or an alarm telephone is dialed, namely, a restarting fault self-recovery mechanism is set, if the restarting frequency does not exceed the set threshold value, the alarm is timely given, the phenomenon that the seafood is dead due to long-time equipment fault is avoided, and the cultivation quality of the seafood is further improved.
3. Through the polling time who sets up main oxygen pump and be equipped with the oxygen pump, avoid main oxygen pump or be equipped with the long-time high load operation of oxygen pump, and then very big extension main oxygen pump and the life who prepares the oxygen pump, very big promotion the stability of seafood pond operation.
4. Through keeping the monitoring data, the later stage of being convenient for is to the traceability and big data analysis of monitoring data, finds out the breed law of different types of seafood promptly from historical data, and then homomorphic aquaculture environment in adjustment seafood pond to promote the breed quality of seafood.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a seafood pool monitoring system according to the present invention.
FIG. 2 is a schematic view of an interface for monitoring a seafood pool group in accordance with the present invention.
FIG. 3 is a schematic view of the interface for monitoring the seafood pool of the present invention.
FIG. 4 is a schematic diagram of an interface for historical monitoring data of a seafood pool in accordance with the present invention.
Fig. 5 is a schematic of an interface for control of the light of the present invention.
Fig. 6 is a schematic of an interface for control of an ultraviolet lamp of the present invention.
FIG. 7 is a schematic diagram of an interface for oxygen pump control according to the present invention.
Detailed Description
The technical scheme in the embodiment of the application has the following general idea: the server acquires monitoring data through the sensor group of each seafood pool, monitors the monitoring data of each seafood pool in real time based on a set monitoring index group, and immediately gives an alarm when the monitoring data exceed the range; and carrying out big data analysis on the monitoring data, judging the optimal cultivation environment suitable for different types of seafood, and dynamically updating the monitoring index set so as to comprehensively monitor the seafood pool and improve the cultivation quality of the seafood.
Referring to fig. 1 to 7, a preferred embodiment of a seafood pool monitoring system according to the present invention includes the following modules:
the data acquisition module is used for automatically uploading the monitoring data acquired by the sensor group and the running state of the equipment to the server in real time after each seafood pool is electrified;
the data display archiving module is used for displaying the received monitoring data and the equipment running state in real time by the server, storing the monitoring data and setting a monitoring index group;
the data monitoring module is used for monitoring the monitoring data by the server based on the monitoring index group;
the big data analysis module is used for carrying out big data analysis on the monitoring data by the server and dynamically updating the monitoring index group;
and the control instruction execution module is used for sending the input control instruction to the corresponding seafood pool by the server, dynamically adjusting the environmental parameters of the seafood pool, and verifying the adjustment result through the monitoring data and the equipment running state.
In the data acquisition module, the sensor group at least comprises a temperature sensor, a salinity sensor, a conductivity sensor, a dissolved oxygen sensor, a PH sensor, a water level sensor and a positioner.
In the data acquisition module, the monitoring data at least comprises water temperature (DEG C) of the filter vat, water temperature (DEG C) of the water tank, water outlet temperature (DEG C), condensation temperature (DEG C), exhaust temperature (DEG C), salinity (ppm), conductivity (ms/cm), dissolved oxygen content (mg/L), pH value (PH), water level line and longitude and latitude.
In the data acquisition module, the equipment running state at least comprises a unit state, an illuminating lamp state, an ultraviolet lamp state, an oxygen pump state, a water pump state and a refrigerator state; the unit state is refrigeration constant temperature, refrigeration operation or shutdown.
The data display archiving module is specifically configured to:
the server receives the monitoring data and the equipment running state in real time, displays the monitoring data and the equipment running state corresponding to each seafood pool on an electronic map based on the longitude and latitude, or displays the monitoring data and the equipment running state in a chart mode, stores the monitoring data for later-stage tracing and big data analysis, and sets a monitoring index group; and displaying the monitoring data and the running state of the equipment by combining an electronic map, and intuitively discovering which specific area of the seafood pool is abnormal. And the server also counts and displays the accumulated running time of each device based on the running state of the device.
In the data display and file module, the monitoring index group at least comprises upper and lower limits of water temperature of the filter barrel, upper and lower limits of water temperature of the water tank, upper and lower limits of water outlet temperature, upper and lower limits of condensing temperature, upper and lower limits of exhaust temperature, upper and lower limits of salinity, upper and lower limits of conductivity, upper and lower limits of dissolved oxygen content, upper and lower limits of pH value and upper and lower limits of water level line.
The data monitoring module is specifically configured to:
the server monitors the monitoring data based on the monitoring index group, judges whether the numerical value of the monitoring data is in the range of the monitoring index group, and if so, continues monitoring; if not, displaying an alarm, and sending an alarm short message to a pre-associated mobile phone or dialing an alarm call.
The monitoring index set is set based on historical monitoring data, big data analysis is carried out on the monitoring data, dynamic updating is carried out, for example, the fact that the water temperature of a water tank for cultivating certain seafood is found to be in a range of 10-20 ℃ from the monitoring data, if death does not occur, the lower limit of the water temperature of the water tank is set to be 10 ℃, the upper limit of the water temperature of the water tank is set to be 20 ℃, and when the water temperature of the water tank is 25 ℃, fault of the corresponding seafood pool is judged and alarm is carried out. Big data analysis is carried out on monitoring data collected from a plurality of seafood pools, and it is found that the water temperature of a water tank of a certain number of seafood pools is within the range of 12-18 ℃, the activity of corresponding seafood is very good, namely the cultivation quality is very high, the lower limit of the water temperature of the water tank is dynamically adjusted to 12 ℃, and the upper limit of the water temperature of the water tank is adjusted to 18 ℃.
The big data analysis module is specifically configured to:
and the server performs big data analysis on the monitoring data to generate an analysis result based on an artificial intelligence algorithm and the actual breeding condition of the seafood, and dynamically updates the monitoring index set based on the analysis result.
The control instruction execution module is specifically configured to:
the server acquires control instructions of automatic switch-on and switch-off time of an illuminating lamp, automatic switch-on and switch-off time of an ultraviolet lamp, polling time of a main oxygen pump and a standby oxygen pump, temperature adjustment and dissolved oxygen content adjustment, which are input by a user, and sends the control instructions to corresponding seafood pools; the electric energy can be effectively saved by timing on and off of the illuminating lamp and the ultraviolet lamp, for example, the illuminating lamp and the ultraviolet lamp do not need to be started in daytime, the main oxygen pump and the standby oxygen pump are arranged for polling use, so that the long-time high-load work of the single oxygen pump is avoided, the service life is prolonged, for example, the running time of the main oxygen pump is set to be 0-12 points, the running time of the standby oxygen pump is set to be 12-24 points, and the main oxygen pump and the standby oxygen pump are arranged, when one of the main oxygen pump and the standby oxygen pump fails, the other one can work immediately, so that the condition of oxygen deficiency of the seafood pool is avoided;
the seafood pool controls the operation of the illuminating lamp, the ultraviolet lamp, the main oxygen pump, the standby oxygen pump or the refrigerator based on the received control instruction, so that the environmental parameters of the seafood pool are dynamically adjusted, the adjustment result is verified according to the monitoring data and the running state of the equipment, and if the adjustment result passes the verification, the flow is ended; and if the seafood pool is not checked to be passed, the control instruction is continuously executed after the seafood pool is restarted.
Still include water pump linkage module for the linkage refrigerator is shut down when the server sets for the water pump and shuts down, avoids appearing the uneven condition of temperature, and when the refrigerator was shut down, the water pump still can continue to work.
In summary, the invention has the advantages that:
1. the server acquires monitoring data at least comprising water temperature of the filter barrel, water temperature of the water tank, water outlet temperature, condensation temperature, exhaust temperature, salinity, conductivity, dissolved oxygen content, pH value, water level line and longitude and latitude through a sensor group of the seafood pool, monitors the monitoring data in real time based on a set monitoring index group, and immediately gives an alarm when the monitoring data exceeds the range; the real breed condition of combining the seafood carries out big data analysis to monitoring data, judges the best breed environment that is fit for different kinds of seafood, and dynamic update control index group again finally realizes carrying out comprehensive control to the seafood pond to constantly adjust the breed environment through big data analysis, and then very big promotion the breed quality of seafood.
2. Whether the seafood pool has a fault or not can be judged by checking an adjusting result of a control instruction sent by a server by utilizing monitoring data and the running state of equipment, the seafood pool is automatically restarted when the fault exists, if the restarting frequency exceeds a set threshold value, the adjusting result is not checked, an alarm short message is sent to a pre-associated mobile phone or an alarm telephone is dialed, namely, a restarting fault self-recovery mechanism is set, if the restarting frequency does not exceed the set threshold value, the alarm is timely given, the phenomenon that the seafood is dead due to long-time equipment fault is avoided, and the cultivation quality of the seafood is further improved.
3. Through the polling time who sets up main oxygen pump and be equipped with the oxygen pump, avoid main oxygen pump or be equipped with the long-time high load operation of oxygen pump, and then very big extension main oxygen pump and the life who prepares the oxygen pump, very big promotion the stability of seafood pond operation.
4. Through keeping the monitoring data, the later stage of being convenient for is to the traceability and big data analysis of monitoring data, finds out the breed law of different types of seafood promptly from historical data, and then homomorphic aquaculture environment in adjustment seafood pond to promote the breed quality of seafood.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (8)
1. The utility model provides a seafood pond monitored control system which characterized in that: the system comprises the following modules:
the data acquisition module is used for automatically uploading the monitoring data acquired by the sensor group and the running state of the equipment to the server in real time after each seafood pool is electrified; the sensor group at least comprises a temperature sensor, a salinity sensor, a conductivity sensor, a dissolved oxygen sensor, a PH sensor, a water level sensor and a positioner; the monitoring data at least comprises the water temperature of the filter barrel, the water temperature of the water tank, the water outlet temperature, the condensation temperature, the exhaust temperature, the salinity, the conductivity, the dissolved oxygen content, the pH value, the water level line and the longitude and latitude;
the data display and archiving module is used for displaying the received monitoring data and the equipment running state in real time by the server, storing the monitoring data and setting a monitoring index group;
the data monitoring module is used for monitoring the monitoring data by the server based on the monitoring index group;
the big data analysis module is used for carrying out big data analysis on the monitoring data by the server and dynamically updating the monitoring index group;
and the control instruction execution module is used for sending the input control instruction to the corresponding seafood pool by the server, dynamically adjusting the environmental parameters of the seafood pool, and verifying the adjustment result through the monitoring data and the equipment running state.
2. The seafood pond monitoring system of claim 1, wherein: in the data acquisition module, the equipment running state at least comprises a unit state, an illuminating lamp state, an ultraviolet lamp state, an oxygen pump state, a water pump state and a refrigerator state; the unit state is refrigeration constant temperature, refrigeration operation or shutdown.
3. The seafood pond monitoring system of claim 1, wherein: the data display archiving module is specifically configured to:
and the server receives the monitoring data and the equipment running state in real time, displays the monitoring data and the equipment running state corresponding to each seafood pool on an electronic map based on the longitude and latitude, or displays the monitoring data and the equipment running state in a chart mode, stores the monitoring data for later-stage tracing and big data analysis, and sets a monitoring index group.
4. The seafood pool monitoring system of claim 1, wherein: in the data display and file module, the monitoring index group at least comprises upper and lower limits of water temperature of the filter barrel, upper and lower limits of water temperature of the water tank, upper and lower limits of water outlet temperature, upper and lower limits of condensing temperature, upper and lower limits of exhaust temperature, upper and lower limits of salinity, upper and lower limits of conductivity, upper and lower limits of dissolved oxygen content, upper and lower limits of pH value and upper and lower limits of water level line.
5. The seafood pool monitoring system of claim 1, wherein: the data monitoring module is specifically configured to:
the server monitors monitoring data based on the monitoring index group, judges whether the numerical value of the monitoring data is in the range of the monitoring index group, and continues monitoring if the numerical value of the monitoring data is in the range of the monitoring index group; if not, displaying an alarm, and sending an alarm short message to a pre-associated mobile phone or dialing an alarm call.
6. The seafood pool monitoring system of claim 1, wherein: the big data analysis module is specifically configured to:
and the server performs big data analysis on the monitoring data to generate an analysis result based on an artificial intelligence algorithm and the actual breeding condition of the seafood, and dynamically updates the monitoring index set based on the analysis result.
7. The seafood pool monitoring system of claim 1, wherein: the control instruction execution module is specifically configured to:
the server acquires control instructions of automatic switch-on and switch-off time of an illuminating lamp, automatic switch-on and switch-off time of an ultraviolet lamp, polling time of a main oxygen pump and a standby oxygen pump, temperature adjustment and dissolved oxygen content adjustment, which are input by a user, and sends the control instructions to corresponding seafood pools;
the seafood pool controls the operation of the illuminating lamp, the ultraviolet lamp, the main oxygen pump, the standby oxygen pump or the refrigerator based on the received control instruction, so that the environmental parameters of the seafood pool are dynamically adjusted, the adjustment result is verified according to the monitoring data and the running state of the equipment, and if the adjustment result passes the verification, the flow is ended; and if the seafood pool is not checked to be passed, the control instruction is continuously executed after the seafood pool is restarted.
8. The seafood pond monitoring system of claim 1, wherein: the system also comprises a water pump linkage module which is used for linking the refrigerator to stop when the server sets the water pump to stop.
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| JP4698499B2 (en) * | 2006-06-21 | 2011-06-08 | Ｎｅｃフィールディング株式会社 | Aquarium fish environment monitoring system and method, and aquarium set and monitoring server used therefor |
| CN103389756A (en) * | 2013-08-09 | 2013-11-13 | 广东海洋大学 | Automatic control system and method for water temperature of industrial cultivation pool for aquatic products |
| CN104506808A (en) * | 2014-12-27 | 2015-04-08 | 罗仁通 | Networking intelligent aquatic creature monitoring system |
| US10568305B2 (en) * | 2015-09-28 | 2020-02-25 | Georgetown University | Systems and methods for automated control of animal training and discrimination learning |
| CN105527395A (en) * | 2015-11-23 | 2016-04-27 | 浙江省海洋水产养殖研究所 | On-line water quality monitoring and response system for culturing of intertidal shellfish |
| CN107258658A (en) * | 2017-08-02 | 2017-10-20 | 王振根 | Zebra fish cultivating system based on technology of Internet of things |
| CN107991977A (en) * | 2018-02-06 | 2018-05-04 | 厦门市飞鸥科技有限公司 | A kind of aquaculture intelligent monitor system and its monitoring method |
| CN109445391A (en) * | 2018-11-08 | 2019-03-08 | 江苏大学 | A kind of aquaculture multi parameter intallingent monitoring system and its method based on Internet of Things |
| KR20200122595A (en) * | 2019-04-18 | 2020-10-28 | 이기택 | Aquaculture facility monitoring system |
| CN112243923A (en) * | 2020-09-29 | 2021-01-22 | 泰州机电高等职业技术学校(江苏联合职业技术学院泰州机电分院) | Aquaculture system based on Internet of things and control method thereof |
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