CN206960988U - A kind of intelligence based on cloud framework is breeded fish monitoring system - Google Patents
A kind of intelligence based on cloud framework is breeded fish monitoring system Download PDFInfo
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- CN206960988U CN206960988U CN201720698864.4U CN201720698864U CN206960988U CN 206960988 U CN206960988 U CN 206960988U CN 201720698864 U CN201720698864 U CN 201720698864U CN 206960988 U CN206960988 U CN 206960988U
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Abstract
A kind of intelligence based on cloud framework is the utility model is related to breed fish monitoring system, the system includes fish pond detection control device (1), local monitoring device (2), cloud processing server (3) and monitor terminal, described fish pond detection control device (1) communicates to connect with local monitoring device (2), described local monitoring device (2) is connected with cloud processing server (3) by Internet network, and the setting of described monitor terminal is multiple and is respectively connecting to cloud processing server (3).Compared with prior art, the utility model intelligence degree is high, while the larger machine learning algorithm of amount of calculation is calculated to be placed on cloud processing server (3) and run, and is advantageous to improve data processing operational efficiency.
Description
Technical field
It the utility model is related to one kind to breed fish monitoring system, breeded fish monitoring more particularly, to a kind of intelligence based on cloud framework
System.
Background technology
China is culture fishery big country, and recently as the adjustment of the structure of agricultural production, China's culture fishery is just from tradition
Artificial farming progressively to industrialization, intensive culture mode changes.In order to accelerate fish growth speed, aquaculture cost is reduced,
Ensure the safety of aquaculture, it is necessary to which the parameters such as the temperature of water quality, dissolved oxygen amount, pH value are monitored and controlled in real time, improve
The automation of aquaculture and intelligence degree.Aquaculture at present moves towards remote distributed monitoring from the single monitoring in scene, but
It is that conventional aquaculture monitoring network does not possess opening, and communication distance is limited, and error correcting capability is not strong, and multi-computer communication is real-time
Property is poor.Aquiculture Monitoring System is that single remote monitoring is breeded fish simultaneously, without sensor and fish upgrowth situation is anti-
It is fed back to and is used as sample training into experts database.For big datas such as the real-time acquisition parameter of sensor, parameter of breeding fish and ambient parameters
Computing is not put into Cloud Server computing, limits the intelligent development of aquaculture.
Utility model content
The purpose of this utility model is exactly to be based on cloud frame to provide one kind the defects of overcoming above-mentioned prior art to exist
The intelligence of structure is breeded fish monitoring system.
The purpose of this utility model can be achieved through the following technical solutions:
A kind of intelligence based on cloud framework is breeded fish monitoring system, and the system includes fish pond detection control device, local monitor
Equipment, cloud processing server and monitor terminal, described fish pond detection control device communicates to connect with local monitoring device, described
Local monitoring device be connected with cloud processing server by Internet network, described monitor terminal set it is multiple and respectively
It is connected to cloud processing server.
Described fish pond detection control device includes fish pond end processor and the sensor being attached thereto respectively detection is single
Member and control unit, described fish pond end processor connect local monitoring device by communication module.
Water temperature sensor, dissolved oxygen sensor, the water that described sensor detection unit includes being arranged in fish pond are muddy
Turbidity transducer and water pH sensors.
Described control unit includes heater, automatic aerator and lamp dimmer.
Described fish pond detection control device also includes being used for the shooting for detecting fish pond surrounding environment and fish pond situation
Head, the described fish pond end processor of described camera connection.
Described local monitoring device includes native processor, inputted for the information of ambient parameter or parameter setting of breeding fish
Device and it is used for ambient parameter or display that parameter of breeding fish is shown, described information input device and display are connected to local
Processor, described native processor connect fish pond by communication module and detect control device.
Described monitor terminal includes hand held mobile terminals and fixed terminal.
Described hand held mobile terminals include mobile phone and tablet personal computer.
Described fixed terminal includes computer.
Described communication module includes one kind in router, WIFI hot spot, ZigBee telegons and radio communication base station
Or multiple combinations.
Compared with prior art, the utility model has the following advantages that:
(1) breeded fish monitoring system the utility model proposes a kind of intelligence based on cloud framework, system fish pond detection control
Control equipment realizes the real-time detection and control of fish pond parameter, and local monitoring device can realize the real-time prison to fish pond in distal end
Survey, while cloud processing server can realize big data processing and detect control device to fish pond by local monitoring device and provide
Corresponding control measure, so as to carry out remote control to fish pond, improve fish pond and breed fish the Intelligent adjustment of parameter, while monitor terminal
The personnel that can conveniently breed fish are monitored in real time to fish pond situation, while the larger machine learning algorithm of amount of calculation is calculated and is placed on
Run on cloud processing server, be advantageous to improve data processing operational efficiency;
(2) the growth situation and sensor parameters of fish can be uploaded to cloud processing server by the utility model, by machine
Device learn and big data processing computing, generate experts database system, and then experts database can establish more comprehensively, effective aquaculture
It Early-warning Model, can both be breeded fish with online direction user, while sample can be provided and trained to cloud processing server using machine learning
Optimize Early-warning Model, so as to improve monitoring system intellectuality of breeding fish;
(3) the utility model is provided for detecting the camera of fish pond surrounding environment and fish pond situation, can allow foster
Family is grown in direct observation of the distal end to fish pond environment, it is convenient and reliable.
Brief description of the drawings
Fig. 1 is that intelligence of the utility model based on cloud framework is breeded fish the structured flowchart of monitoring system.
In figure, 1 is that control device is detected in fish pond, and 2 be local monitoring device, and 3 be cloud processing server, and 101 be fish pond end
Processor, 102 be water temperature sensor, and 103 be dissolved oxygen sensor, and 104 be water chaotic degree sensor, and 105 be that water pH is sensed
Device, 106 be camera, and 107 be heater, and 108 be automatic aerator, and 109 be lamp dimmer, and 110 be fish pond end communication module,
201 be native processor, and 202 be information input device, and 203 be display, and 204 be local side communication module, and 401 be that hand-held moves
Dynamic terminal, 402 be fixed terminal.
Embodiment
The utility model is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment
The monitoring system as shown in figure 1, a kind of intelligence based on cloud framework is breeded fish, the system include fish pond detection control device
1st, local monitoring device 2, cloud processing server 3 and monitor terminal, fish pond detection control device 1 communicate with local monitoring device 2
Connection, local monitoring device 2 are connected with cloud processing server 3 by Internet network, and monitor terminal sets multiple and difference
It is connected to cloud processing server 3.
Fish pond detection control device 1 includes fish pond end processor 101 and the sensor detection unit being attached thereto respectively
And control unit, fish pond end processor 101 connect local monitoring device 2 by fish pond end communication module 110.Sensor detection is single
Water temperature sensor 102, dissolved oxygen sensor 103, water chaotic degree sensor 104 and the water pH that member includes being arranged in fish pond are passed
Sensor 105.Control unit includes heater 107, automatic aerator 108 and lamp dimmer 109.Fish pond detection control device 1 also wraps
The camera 106 for detecting fish pond surrounding environment and fish pond situation is included, camera 106 connects fish pond end processor 101.
Wherein, water temperature sensor 102 is used to detecting the water temperature breeded fish in environment, and dissolved oxygen sensor 103 is breeded fish environment for detection
Reclaimed water oxygen content, water chaotic degree sensor 104 are breeded fish water chaotic degree in environment for detection, and water pH sensors 105 are used to detect
The pH value for environment reclaimed water of breeding fish, accordingly, heater 107 are used to lift the water temperature in environment of breeding fish, and automatic aerator 108 is used to improve
The oxygen content for environment reclaimed water of breeding fish, lamp dimmer 109 are used for the light exposure intensity for controlling environment of breeding fish.
Local monitoring device 2 includes native processor 201, the information input device for ambient parameter or parameter setting of breeding fish
202 and it is used for ambient parameter or display 203 that parameter of breeding fish is shown, information input device 202 and display 203 are connected to
Native processor 201, native processor 201 connect fish pond by local side communication module 204 and detect control device 1.Wherein, ring
Border parameter includes the light parameter of the breed fish temperature parameter of needs, the water oxygen content parameter for needs of breeding fish and needs of breeding fish;Support
Fish parameter setting includes the setting of fish species parameter, fish growth parameter(s), the species that feeds intake and the quantity that feeds intake, and wherein fish species parameter is set
Put for setting the species breeded fish, breeded fish according to the species of fish, fish growth parameter(s) is provided for setting and breeded fish growth cycle
Rule, the species that feeds intake are provided for, according to habit difference of breeding fish, feeding different types of feed, the quantity that feeds intake is provided for setting
Breeding fish needs the quantity that feeds intake.
Fish pond end communication module 110 and local side communication module 204 include router, WIFI hot spot, ZigBee telegons
With the one or more combination in radio communication base station.
Monitor terminal includes hand held mobile terminals 401 and fixed terminal 402.Hand held mobile terminals 401 include mobile phone
And tablet personal computer.Fixed terminal 402 includes computer.
Parameter that cloud processing server 3 is gathered using machine learning algorithm to sensor, the parameter of breeding fish set, environment ginseng
Number and the modeling training of fish growing state, generate experts database system, and then by memory storage experts database, can by experts database
With establish more comprehensively, effective aquaculture Early-warning Model, can both be breeded fish with online direction user, while sample can be provided to cloud
Processing unit better controls over control unit in fish pond detection control device 1 using machine learning training optimization Early-warning Model
Each control device operating, and then fish pond carries out intelligent monitoring.The larger machine learning algorithm of amount of calculation is calculated and is placed on cloud processing
Run on server 3, be advantageous to improve data processing operational efficiency, realize the computational load based on cloud framework and effectively distribute.
Claims (10)
- The monitoring system 1. a kind of intelligence based on cloud framework is breeded fish, it is characterised in that the system includes fish pond detection control device (1), local monitoring device (2), cloud processing server (3) and monitor terminal, described fish pond detection control device (1) and local Monitoring device (2) is communicated to connect, and described local monitoring device (2) is connected with cloud processing server (3) by Internet network Connect, the setting of described monitor terminal is multiple and is respectively connecting to cloud processing server (3).
- The monitoring system 2. a kind of intelligence based on cloud framework according to claim 1 is breeded fish, it is characterised in that described fish Pool detection control device (1) includes fish pond end processor (101) and the sensor detection unit being attached thereto respectively and control Unit, described fish pond end processor (101) connect local monitoring device (2) by communication module.
- The monitoring system 3. a kind of intelligence based on cloud framework according to claim 2 is breeded fish, it is characterised in that described biography The water temperature sensor (102), dissolved oxygen sensor (103), water chaotic degree that sensor detection unit includes being arranged in fish pond pass Sensor (104) and water pH sensors (105).
- The monitoring system 4. a kind of intelligence based on cloud framework according to claim 2 is breeded fish, it is characterised in that described control Unit processed includes heater (107), automatic aerator (108) and lamp dimmer (109).
- The monitoring system 5. a kind of intelligence based on cloud framework according to claim 2 is breeded fish, it is characterised in that described fish Pool detection control device (1) also includes being used for the camera (106) for detecting fish pond surrounding environment and fish pond situation, described The described fish pond end processor (101) of camera (106) connection.
- The monitoring system 6. a kind of intelligence based on cloud framework according to claim 1 is breeded fish, it is characterised in that described sheet Ground monitoring device (2) includes native processor (201), for the information input device of ambient parameter or parameter setting of breeding fish (202) And it is used for ambient parameter or display (203) that parameter of breeding fish is shown, described information input device (202) and display (203) native processor (201) is connected to, described native processor (201) connects fish pond detection control by communication module Control equipment (1).
- The monitoring system 7. a kind of intelligence based on cloud framework according to claim 1 is breeded fish, it is characterised in that described prison Control terminal includes hand held mobile terminals (401) and fixed terminal (402).
- The monitoring system 8. a kind of intelligence based on cloud framework according to claim 7 is breeded fish, it is characterised in that described hand Holding formula mobile terminal (401) includes mobile phone and tablet personal computer.
- The monitoring system 9. a kind of intelligence based on cloud framework according to claim 7 is breeded fish, it is characterised in that described consolidates Determining terminal (402) includes computer.
- The monitoring system 10. a kind of intelligence based on cloud framework according to claim 2 or 6 is breeded fish, it is characterised in that described Communication module include one or more combinations in router, WIFI hot spot, ZigBee telegons and radio communication base station.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108333999A (en) * | 2018-03-20 | 2018-07-27 | 安徽赛福贝特信息技术有限公司 | A kind of aquaculture environmental monitoring system based on big data cloud service platform |
CN108491010A (en) * | 2018-04-27 | 2018-09-04 | 宿松富民水产养殖有限公司 | A kind of loach breeding system based on parameter regulation and control |
CN108664061A (en) * | 2018-06-05 | 2018-10-16 | 江苏农牧科技职业学院 | A kind of cultivation electronic information management device based on agriculture Internet of Things |
CN108897364A (en) * | 2018-09-29 | 2018-11-27 | 大连锐进科技发展有限公司 | A kind of fish pond management system |
CN110244626A (en) * | 2019-06-21 | 2019-09-17 | 南京邮电大学 | Multi-user's aquaculture automatic regulating system and method based on intensified learning |
WO2020177418A1 (en) * | 2019-03-06 | 2020-09-10 | 苏州贝昂科技有限公司 | Smart aquaculture control terminal |
CN111667497A (en) * | 2019-04-18 | 2020-09-15 | 绿桥(泰州)生态修复有限公司 | Fishery monitoring management method |
CN112784394A (en) * | 2019-11-08 | 2021-05-11 | 福建伐木粒智能科技有限公司 | Ecological breeding simulation system based on artificial intelligence |
-
2017
- 2017-06-15 CN CN201720698864.4U patent/CN206960988U/en not_active Expired - Fee Related
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108333999A (en) * | 2018-03-20 | 2018-07-27 | 安徽赛福贝特信息技术有限公司 | A kind of aquaculture environmental monitoring system based on big data cloud service platform |
CN108491010A (en) * | 2018-04-27 | 2018-09-04 | 宿松富民水产养殖有限公司 | A kind of loach breeding system based on parameter regulation and control |
CN108664061A (en) * | 2018-06-05 | 2018-10-16 | 江苏农牧科技职业学院 | A kind of cultivation electronic information management device based on agriculture Internet of Things |
CN108897364A (en) * | 2018-09-29 | 2018-11-27 | 大连锐进科技发展有限公司 | A kind of fish pond management system |
WO2020177418A1 (en) * | 2019-03-06 | 2020-09-10 | 苏州贝昂科技有限公司 | Smart aquaculture control terminal |
CN111667497A (en) * | 2019-04-18 | 2020-09-15 | 绿桥(泰州)生态修复有限公司 | Fishery monitoring management method |
CN110244626A (en) * | 2019-06-21 | 2019-09-17 | 南京邮电大学 | Multi-user's aquaculture automatic regulating system and method based on intensified learning |
CN110244626B (en) * | 2019-06-21 | 2021-09-14 | 南京邮电大学 | Multi-user aquaculture automatic regulation and control system and method based on reinforcement learning |
CN112784394A (en) * | 2019-11-08 | 2021-05-11 | 福建伐木粒智能科技有限公司 | Ecological breeding simulation system based on artificial intelligence |
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Granted publication date: 20180202 Termination date: 20210615 |