CN204650257U - Based on the Aquiculture Monitoring System of Internet of Things cognition technology - Google Patents
Based on the Aquiculture Monitoring System of Internet of Things cognition technology Download PDFInfo
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- CN204650257U CN204650257U CN201520333804.3U CN201520333804U CN204650257U CN 204650257 U CN204650257 U CN 204650257U CN 201520333804 U CN201520333804 U CN 201520333804U CN 204650257 U CN204650257 U CN 204650257U
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The utility model discloses a kind of Aquiculture Monitoring System based on Internet of Things cognition technology, comprise data acquisition module, upper computer module, embedded Web main control module, device control module and actuating equipment module; Data acquisition module comprises wireless sensor network and sensor; Embedded Web main control module connects wireless sensor network and Internet by the mode of embedded web server, for receiving and processing the data that data acquisition module sends each sensor, and the data after process are in real time sent to upper computer module, embedded Web main control module also communicates with terminal device, sends control signal to device control module; Upper computer module is connected with embedded Web main control module by serial ports, processes and be stored in network data base to data; Device control module is used for reception control signal and controls actuating equipment module action.Water quality condition can be monitored in real time, water quality of taking measures, energy-conserving and environment-protective.
Description
Technical field
the utility model relates to technical field of aquaculture, particularly relates to a kind of Aquiculture Monitoring System based on Internet of Things cognition technology.
Background technology
at present, along with aquaculture is intensive, large-scale degree improves constantly, aquaculture waters water quality environment is being polluted in various degree, and the aquaculture problem caused thus becomes increasingly conspicuous.Therefore need to carry out monitoring to water quality in aquaculture, to understand the water quality environment situation in aquaculture waters in time, thus take effective technology measure fast to regulate and control and improve water quality environment.
the series products of cultivation monitoring in the market mostly realizes wired monitoring, and the scope of monitoring is extremely limited and to be subject to the impact of environment larger.Product is isolated to outside Internet simultaneously, is difficult to realize remote monitoring.
internet of Things is mainly through equipment such as sensor, radio-frequency (RF) identification (RFID), GPS, mobile phones, by presetting fixed agreement or method, various objects in the world are all connected in information network, embody the fusion of information space and physical space, with reach reduce infosystem and physical world and between distance.These intelligent objects can be undertaken interconnected alternately by network by service, to obtain the status information relevant to these objects.
along with the development of wireless sensor network, wireless sensor network technology and water quality monitoring combine in trial by a lot of researchist.External more famous system has the Fleck system of Australian CSIR O and the EMNET system of Heliosware company of the U.S..Above-mentioned two kinds of systems have traffic rate low can the few shortcoming of acquisition parameter, there is the feature that practicality is not strong at present.
Summary of the invention
in order to overcome above-mentioned technical matters, the utility model provides a kind of Aquiculture Monitoring System based on Internet of Things cognition technology, can understand the water quality condition of Cultivated water in time, thus regulation and control water quality of adopting an effective measure, traffic rate is fast, energy-conserving and environment-protective.
the technical solution of the utility model is:
based on an Aquiculture Monitoring System for Internet of Things cognition technology, comprise data acquisition module and upper computer module, also comprise embedded Web main control module, device control module and actuating equipment module;
described data acquisition module comprises wireless sensor network and sensor, and described sensor connects wireless sensor network;
described embedded Web main control module connects wireless sensor network and Internet by the mode of embedded web server, for receiving and processing the data that data acquisition module sends each sensor, and the data after process are in real time sent to upper computer module, described embedded Web main control module also communicates with terminal device, sends control signal to device control module;
described upper computer module is connected with embedded Web main control module by serial ports, processes and be stored in network data base to data;
described device control module is used for reception control signal and controls actuating equipment module action.
preferably, described sensor includes but not limited to PH sensor, oxygen dissolved sensor, optical sensor, temperature sensor, ammonia nitrogen sensor.
preferably, described sensor integration is on Si4432 node, and Si4432 node is placed on each monitoring point of culture zone.
preferably, described data acquisition module connects solar powered module.
preferably, described embedded Web main control module adopts STM32 single-chip microcomputer to be responsible for the storage of program, execution and data processing, and by transplanting uIP protocol stack, realizes embedded web server
preferably, described actuating equipment module at least comprises food throwing machine, aerator, and described device control module supports multi-channel control.
the utility model has the advantages that:
1, based on Si4432 wireless sensor network data acquisition module by gather environmental data information transmission to embedded Web main control module, embedded Web main control module imports data into upper computer module and Internet respectively by serial ports and network interface.Upper computer module be simultaneously responsible for data stored in database, consult historical data for user.User can check the real-time status in fish pond by terminal devices such as the mobile phones of upper computer module or any access network, and manually can send control signal as required, and remote control module Received signal strength also makes real-time response.In addition, embedded Web main control module has certain intelligent control function.It can mate the data received and early warning value, automatically control signal is sent when exceeding early warning value, the open and close of the switching of pilot relay on off state, the startup of aerator and closedown, food throwing machine, until environmental data is within normal scope, thus realize culture zone Based Intelligent Control.Based on Internet of Things cognition technology aquaculture system low cost, low-power consumption, be easy to dispose, reliable and stable, really achieve the remote monitoring to culture environment of aquatic products, substantially increase fish pond management convenience and validity.
2, have real-time feature, support that power supply or USB power, cost performance is higher.Meanwhile, Node Controller adopts solar panel to power, and not only energy-conservation but also environmental protection, has good practical application and market popularization value.
Accompanying drawing explanation
below in conjunction with drawings and Examples, the utility model is further described:
fig. 1 is the structured flowchart of the utility model based on the Aquiculture Monitoring System of Internet of Things cognition technology;
fig. 2 is the network topological diagram of the utility model based on the Aquiculture Monitoring System of Internet of Things cognition technology.
Embodiment
for making the purpose of this utility model, technical scheme and advantage clearly understand, below in conjunction with embodiment also with reference to accompanying drawing, the utility model is further described.Should be appreciated that, these describe just exemplary, and do not really want to limit scope of the present utility model.In addition, in the following description, the description to known features and technology is eliminated, to avoid unnecessarily obscuring concept of the present utility model.
embodiment:
with embodiment, this patent is described further by reference to the accompanying drawings:
as shown in Figure 1, 2, the described Aquiculture Monitoring System based on Internet of Things cognition technology, forms primarily of embedded Web main control module, data acquisition module, device control module, actuating equipment module, upper computer module and solar powered module.Water quality environment data are supplied to embedded Web main control module by Si4432 wireless sensor network by described data acquisition module.Described embedded Web main control module receives on the one hand and processes the environmental data that data collecting module collected arrives, make user can access remote monitoring server to check the Real-time Monitoring Data in fish pond by the terminal device such as PC or mobile phone, the control signal that the control signal that user manually can be produced on the other hand and program Auto-matching early warning value produce is transferred to device control module.Described device control module is responsible for the control signal received and process embedded Web main control module transmits, make that relay switch state switches in real time, the startup of aerator and closedown, food throwing machine the response such as open and close.Described actuating equipment module comprises aerator and food throwing machine.Described solar powered module is used for powering to data acquisition module.
as shown in Figure 1, described data acquisition module is made up of Si4432 wireless network and various sensor, and sensor comprises PH sensor, dissolved oxygen sensor and temperature sensor, certainly can also comprise other sensor, such as ammonia nitrogen sensor and optical sensor etc.Sensor integration is on Si4432 node, and Si4432 node is placed on each monitoring point of culture zone.Adopt Si4432 wireless sensor network, long distance for data and the feature that propagation delay time is short, stability is high.
described host computer is deployed in raiser indoor, is connected with embedded Web main control module by serial ports.After the data that the embedded Web main control module that upper computer module receives transmits, scene display is carried out in modes such as Network Topology for Real-Time figure, real-time curves after dissection process is carried out to it, and data are stored in network data base according to certain form, be convenient to carry out historical record analysis.
described embedded Web main control module is deployed in the indoor of raiser equally, for receive and process data acquisition module send data.Embedded Web main control module adopts STM32 single-chip microcomputer to be responsible for the storage of program, execution and data processing, and by transplanting uIP protocol stack, realize embedded web server, and connect Si4432 wireless network and Internet in the mode of embedded web server, there is the feature of low cost, low-power consumption.
the data that Si4432 wireless network transmissions is come by described embedded Web main control module show in the mode of embedded Web page server.The terminal device access embedded Web main control modules such as the PC that user can be networked by any connection or mobile phone to check the Real-time Monitoring Data in fish pond, and can send control signal to device control module as required.
described device control module comprises relay, Controlling vertex, can make response according to the control signal received, relay switch state switches, the startup of aerator and closedown, food throwing machine the response such as open and close.
the source main source of control signal has two: a kind of is that embedded Web main control module carries out early warning value coupling in real time to the data received, and automatically sends control signal when exceeding early warning value; Another kind is the control signal that user is manually sent by embedded Web webpage.
can realize vulnerabilities scan forceful electric power by relay, as food throwing machine, the equipment such as aerator, adopt coupling relay to connect relay, avoid interference, ensure the stable of on off state and switch.
food throwing machine is used for providing bait to culture zone, and aerator is used for providing oxygen to culture zone.
described device control module supports multi-channel control, can realize the control respectively to device cluster multiple in culture zone.
the early warning mechanism of native system comprises LCD display and upper computer software interface, when monitoring of equipment state occur abnormal need early warning or report to the police time, LCD can change display state, and host computer also can the error status of display device simultaneously.
this system supports that power supply or USB power, and cost performance is higher, and data acquisition module connects solar powered module for power supply, not only energy-conservation but also environmental protection.
should be understood that, above-mentioned embodiment of the present utility model only for exemplary illustration or explain principle of the present utility model, and is not formed restriction of the present utility model.Therefore, any amendment made when not departing from spirit and scope of the present utility model, equivalent replacement, improvement etc., all should be included within protection domain of the present utility model.In addition, the utility model claims be intended to contain fall into claims scope and border or this scope and border equivalents in whole change and modification.
Claims (5)
1. based on an Aquiculture Monitoring System for Internet of Things cognition technology, comprise data acquisition module and upper computer module, it is characterized in that, also comprise embedded Web main control module, device control module and actuating equipment module;
Described data acquisition module comprises wireless sensor network and sensor, and described sensor connects wireless sensor network;
Described embedded Web main control module connects wireless sensor network and Internet by the mode of embedded web server, for receiving and processing the data that data acquisition module sends each sensor, and the data after process are in real time sent to upper computer module, described embedded Web main control module also communicates with terminal device, sends control signal to device control module;
Described upper computer module is connected with embedded Web main control module by serial ports, processes and be stored in network data base to data;
Described device control module is used for reception control signal and controls actuating equipment module action.
2. the Aquiculture Monitoring System based on Internet of Things cognition technology according to claim 1, is characterized in that, described sensor includes but not limited to PH sensor, oxygen dissolved sensor, optical sensor, temperature sensor, ammonia nitrogen sensor.
3. the Aquiculture Monitoring System based on Internet of Things cognition technology according to claim 1 and 2, is characterized in that, described sensor integration is on Si4432 node, and Si4432 node is placed on each monitoring point of culture zone.
4. the Aquiculture Monitoring System based on Internet of Things cognition technology according to claim 1, is characterized in that, described data acquisition module connects solar powered module.
5. the Aquiculture Monitoring System based on Internet of Things cognition technology according to claim 1, it is characterized in that, described embedded Web main control module adopts STM32 single-chip microcomputer to be responsible for the storage of program, execution and data processing, and by transplanting uIP protocol stack, realizes embedded web server
Aquiculture Monitoring System based on Internet of Things cognition technology according to claim 1, is characterized in that, described actuating equipment module at least comprises food throwing machine, aerator, and described device control module supports multi-channel control.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520333804.3U CN204650257U (en) | 2015-05-22 | 2015-05-22 | Based on the Aquiculture Monitoring System of Internet of Things cognition technology |
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| CN201520333804.3U CN204650257U (en) | 2015-05-22 | 2015-05-22 | Based on the Aquiculture Monitoring System of Internet of Things cognition technology |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105182881A (en) * | 2015-09-29 | 2015-12-23 | 江苏农林职业技术学院 | Aquaculture monitoring system |
| CN106603629A (en) * | 2016-11-16 | 2017-04-26 | 江苏大学 | Aquaculture and livestock breeding multi-parameter measurement and control system and method based on IOT (Internet of Things) and GIS |
| CN106802611A (en) * | 2017-04-13 | 2017-06-06 | 吴祖猎 | Intelligent aquatic products management system for breeding and control method based on Internet of Things |
| CN113225366A (en) * | 2021-01-21 | 2021-08-06 | 深圳市芯中芯科技有限公司 | Intelligent fishpond feeding and oxygen deficiency alarm system based on 4G network |
-
2015
- 2015-05-22 CN CN201520333804.3U patent/CN204650257U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105182881A (en) * | 2015-09-29 | 2015-12-23 | 江苏农林职业技术学院 | Aquaculture monitoring system |
| CN106603629A (en) * | 2016-11-16 | 2017-04-26 | 江苏大学 | Aquaculture and livestock breeding multi-parameter measurement and control system and method based on IOT (Internet of Things) and GIS |
| CN106802611A (en) * | 2017-04-13 | 2017-06-06 | 吴祖猎 | Intelligent aquatic products management system for breeding and control method based on Internet of Things |
| CN106802611B (en) * | 2017-04-13 | 2023-08-11 | 吴祖猎 | Intelligent aquaculture management system based on Internet of things and control method |
| CN113225366A (en) * | 2021-01-21 | 2021-08-06 | 深圳市芯中芯科技有限公司 | Intelligent fishpond feeding and oxygen deficiency alarm system based on 4G network |
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Effective date of registration: 20151106 Address after: 226000 Jiangsu city of Nantong province Nantong economic and Technological Development Zone Science and Technology Industrial Park of Su Tong Jiang Cheng Road No. 1088 Jiang Park Building 3, room 1558, R & D Patentee after: Nantong Jianghai Building Intelligent Technology Co., Ltd. Address before: 226019 Jiangsu Province, Nantong City Chongchuan District sik Road No. 9 Patentee before: Nantong University |
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