CN204790651U - Shrimp environment intelligence control system that grows seedlings based on multisensor information fusion - Google Patents
Shrimp environment intelligence control system that grows seedlings based on multisensor information fusion Download PDFInfo
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- CN204790651U CN204790651U CN201520492540.6U CN201520492540U CN204790651U CN 204790651 U CN204790651 U CN 204790651U CN 201520492540 U CN201520492540 U CN 201520492540U CN 204790651 U CN204790651 U CN 204790651U
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Abstract
The utility model relates to an aquaculture technical field provides a shrimp environment intelligence control system that grows seedlings based on multisensor information fusion, including environmental data collection module, wireless access node, on -site supervision center, remote monitoring cloud service center, mobile terminal and regulation and control executable module, the wireless access node is connected with environmental data collection module, on -site supervision center respectively, and the on -site supervision center still is connected with remote monitoring cloud service center, regulation and control executable module, and the remote monitoring cloud service center still be connected with mobile terminal, and mobile terminal still is connected with the regulation and control executable module, the beneficial effects of the utility model are that: greatly improve the grow seedlings identification accuracy of environment state of intensification shrimp, realize the shrimp intelligent regulation and control of environment of growing seedlings, the labor intensity of is effectively reduced, improve production efficiency, the harm of the emergent events shrimp seedlings such as environment rapid change of avoiding growing seedlings.
Description
Technical field
The utility model relates to technical field of aquaculture, particularly a kind of prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion.
Background technology
Monitoring water quality and ladder of management backwardness is there is in prawn seed-rearing process, the real-time monitoring level of seedling raising environment information is low, bait throwing in, dispenser not science, unreasonable, the problem of easy deterioration prawn seed-rearing environment, also have the problem such as prevention from suffering from the diseases, early warning technology shortage, all seriously constrain prawn industry health, sustainable development.
At present, control in soft and hardware in prawn seed-rearing environmental monitoring, part enterprise uses collection in worksite water quality sample and manually chemically examines to laboratory, this mode poor in timeliness, and due to monitor personnel know-how and cultivation experience uneven, different monitoring personnel Yi Zaocheng measurement results is inconsistent, only often wastes time and energy to breeding water body water quality monitoring with artificial experience, poor reliability.Some enterprise adopts automatic water quality monitoring system, they are with online automatic analytical instrument for core, use a set of online auto monitoring system of sensor technology, automatic measuring and controlling technology, Computerized Information Processing Tech and relevant special water quality forecast analysis software and communication network composition.The water quality parameter of this monitoring system is single, mostly achieve mechanization or semi-mechanization, namely by mechanical switch, manually control oxygen increasing equipment, water-change pump, sunshade net roller shutter and put the on-the-spot adjusting device such as curtain, illumination, control on-the-spot adjusting device manually, waste time and energy, production efficiency is low.Although external existing advanced monitoring water quality equipment and technology, cost performance is poor, is difficult to practice and extension, is not suitable for the actual needs of the intensive prawn culturing of China.
Utility model content
The purpose of this utility model is: for the problems referred to above, provides a kind of prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion.
A kind of prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion of the utility model, comprises environmental data collecting module, radio access node, on-site supervision center, remote monitoring cloud service center, mobile terminal device and regulation and control execution module;
Described environmental data collecting module comprises multi-parameter water quality intelligent sensing submodule and the meteorological sensing submodule of multiparameter, and described regulation and control execution module comprises regulation and control actuator and site environment adjusting device;
Described multi-parameter water quality intelligent sensing submodule is connected with described radio access node respectively with the meteorological sensing submodule of described multiparameter, and described radio access node is also connected with described on-site supervision center;
Described on-site supervision center is connected with described radio access node, is also connected with described remote monitoring cloud service center, described regulation and control actuator respectively;
Described remote monitoring cloud service center is connected with described on-site supervision center, is also connected with described mobile terminal device;
Described mobile terminal device is connected with described remote monitoring cloud service center, is also connected with described regulation and control actuator;
Described regulation and control actuator is connected with described on-site supervision center, described mobile terminal device respectively, is also connected with described site environment adjusting device.
Further, described multi-parameter water quality intelligent sensing submodule comprises dissolved oxygen sensor, conductivity sensor, cooling-water temperature sensor, acidity-basicity sensor and turbidity transducer, is connected respectively with described radio access node; The meteorological sensing submodule of described multiparameter comprises optical sensor, humidity sensor, baroceptor, air velocity transducer, is connected respectively with described radio access node.
Further, described mobile control device comprises mobile phone and portable computer, is connected respectively with described remote monitoring cloud service center and described regulation and control actuator.
Further, described site environment adjusting device comprises aerator, water-change pump, water temperature cold-hot controller, sunshade net and lighting, is connected respectively with described regulation and control actuator.
The beneficial effects of the utility model are:
1, the intelligent information processing technologies such as multi-sensor information fusion, prediction, evaluation and early warning are adopted, analysis and treament is carried out to online acquisition water quality and meteorological Multi-parameter data, greatly improve the identification precision of intensive prawn seed-rearing ambient condition, achieve the regulation and control of prawn seed-rearing ambient intelligenceization; For shrimp seedling healthy growth under comfortable environment, improve its quality and fanning economics has important researching value and practical value.
2, this system makes prawn seed-rearing environment conditioning possess robotization and intelligent feature, effectively reduces labour intensity, enhances productivity, and avoids the harm that seedling raising environment such as sharply to change at the accident prawn seedling.
Accompanying drawing explanation
Figure 1 shows that the utility model example structure schematic diagram.
Figure 2 shows that the utility model embodiment working routine process flow diagram.
In figure: 1-environmental data collecting module, 2-radio access node, 3-on-site supervision center, 4-remote monitoring cloud service center, 5-mobile terminal device, 6-regulation and control execution module, 11-multi-parameter water quality intelligent sensing submodule, the meteorological intelligent sensing submodule of 12-multiparameter, 61-regulate and control actuator, 62-site environment adjusting device.
Embodiment
Hereafter will describe the utility model specific embodiment in detail in conjunction with concrete accompanying drawing.It should be noted that the combination of technical characteristic or the technical characteristic described in following embodiment should not be considered to isolated, they can mutually be combined thus be reached better technique effect.In the accompanying drawing of following embodiment, the identical label that each accompanying drawing occurs represents identical feature or parts, can be applicable in different embodiment.
As shown in Figure 1, a kind of prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion of the utility model embodiment, comprises environmental data collecting module 1, radio access node 2, on-site supervision center 3, remote monitoring cloud service center 4, mobile terminal device 5 and regulation and control execution module 6;
Described environmental data collecting module 1 comprises multi-parameter water quality intelligent sensing submodule 11 and the meteorological sensing submodule 12 of multiparameter, and described regulation and control execution module 6 comprises regulation and control actuator 61 and site environment adjusting device 62;
Described multi-parameter water quality intelligent sensing submodule 11 is connected with described radio access node 2 respectively with the meteorological sensing submodule 12 of described multiparameter, and described radio access node 2 is also connected with described on-site supervision center 3;
Described on-site supervision center 3 is connected with described radio access node 2, is also connected with described remote monitoring cloud service center 4, described regulation and control actuator 61 respectively;
Described remote monitoring cloud service center 4 is connected with described on-site supervision center 3, is also connected with described mobile terminal device 5;
Described mobile terminal device 5 is connected with described remote monitoring cloud service center 4, is also connected with described regulation and control actuator 61;
Described regulation and control actuator 61 is connected with described on-site supervision center 3, described mobile terminal device 5 respectively, is also connected with described site environment adjusting device 62.
Described multi-parameter water quality intelligent sensing submodule 11 comprises dissolved oxygen sensor, conductivity sensor, cooling-water temperature sensor, acidity-basicity sensor and turbidity transducer, is connected respectively with described radio access node 2; The meteorological sensing submodule 12 of described multiparameter comprises optical sensor, humidity sensor, baroceptor, air velocity transducer, is connected respectively with described radio access node 2.
Described mobile control device 5 comprises mobile phone and portable computer, is connected respectively with described remote monitoring cloud service center 4 and described regulation and control actuator 61.
Described site environment adjusting device 62 comprises aerator, water-change pump, water temperature cold-hot controller, sunshade net and lighting, is connected respectively with described regulation and control actuator 61.
In use, described environmental data collecting module 1 collects the instant water quality data such as dissolved oxygen DO, salinity, water temperature, potential of hydrogen, turbidity by dissolved oxygen sensor, conductivity sensor, cooling-water temperature sensor, acidity-basicity sensor and turbidity transducer; The instant environmental data such as intensity of illumination, relative humidity, air pressure and wind speed is collected by optical sensor, humidity sensor, baroceptor and air velocity transducer.
The data that described environmental data collecting module 1 collects, are transferred to described on-site supervision center 3 through described radio access node 2, and described on-site supervision center 3 shows in real time received information, inquire about, stores and downloads.
The instant water quality data received and instant environmental data are transferred to described remote monitoring cloud service center 4 by transmission modes such as GPRS, Wifi, IPV6 by described on-site supervision center 3.
Described remote monitoring cloud service center 4 uses the Intelligent Information Processing model such as prediction, evaluation and early warning prestored to carry out analysis and treament to aforementioned data, by prediction, to evaluate and early warning result is sent to the described mobile terminal device 5 of on-the-spot cultural technique personnel by transmission modes such as Wifi, 3G and feeds back to described on-site supervision center 3.
On-the-spot cultural technique personnel are according to data analysis and result, carry out decision making package judgement in conjunction with oneself cultivation experience, remote control and regulation instruction is sent by described mobile terminal device 5, by the duty of site environment adjusting device 62 described in described regulation and control actuator 61 Dynamic controlling, described mobile terminal device 5 also can realize interconnecting of data with described remote monitoring cloud service center 4.
The result that described on-site supervision center 3 also can be fed back according to described remote monitoring cloud service center 4, send regulation and control instruction to described regulation and control actuator 61, described regulation and control actuator 61 controls the duty of described site environment adjusting device 62 by modes such as timing automatic regulation and control and remote control and regulations, guarantees seedling raising environment safety and stability.
Working routine flow process as shown in Figure 2, the illumination being suitable for the growth of prawn shrimp seedling is preset at described on-site supervision center 3, dissolved oxygen concentration, water temperature, the parameter area threshold values such as turbidity, by the data that described environmental data data acquisition system (DAS) 1 obtains, prediction is adopted by described remote monitoring cloud service center 4, evaluate and the Intelligent Information Processing model such as early warning to the seedling raising environment data analysis of current and history and process, whether the seedling raising environment parameter state of comprehensive descision subsequent time meets the optimum range threshold value preset, send different steering orders as the case may be to described regulation and control actuator 61, described site environment adjusting device 62 is made to perform corresponding action.Concrete steps are as follows:
Step one, intensity of illumination signal compare with pre-set threshold value, within the scope of pre-set threshold value, then turn to step 2, if not within the scope of pre-set threshold value, intensity of illumination lower than pre-set threshold value, then opens light fixture, higher than pre-set threshold value, then and sunshade net dropping curtain;
Step 2, temperature compare with pre-set threshold value, within the scope of pre-set threshold value, then turn to step 3, if not within the scope of pre-set threshold value, then open the cold and hot opertaing device of water temperature to reaching set water temperature;
Step 3, dissolved oxygen concentration compare with pre-set threshold value, within the scope of pre-set threshold value, then turn to step 4, if not within the scope of pre-set threshold value, then open oxygen increasing equipment to reaching setting dissolved oxygen concentration;
Step 4, turbidity compare with pre-set threshold value, within the scope of pre-set threshold value, then turn to step 5, if not within the scope of pre-set threshold value, then open water-change pump and change water degree to setting;
Step 5, the Detection & Controling of end epicycle.
The beneficial effects of the utility model are:
1, the intelligent information processing technologies such as multi-sensor information fusion, prediction, evaluation and early warning are adopted, analysis and treament is carried out to online acquisition water quality and meteorological Multi-parameter data, greatly improve the identification precision of intensive prawn seed-rearing ambient condition, achieve the regulation and control of prawn seed-rearing ambient intelligenceization; For shrimp seedling healthy growth under comfortable environment, improve its quality and fanning economics has important researching value and practical value.
2, this system makes prawn seed-rearing environment conditioning possess robotization and intelligent feature, effectively reduces labour intensity, enhances productivity, and avoids the harm that seedling raising environment such as sharply to change at the accident prawn seedling.
Although given an embodiment of the present utility model, it will be understood by those of skill in the art that when not departing from the utility model spirit herein, can change embodiment herein.Above-described embodiment is exemplary, should using embodiment herein as the restriction of the utility model interest field.
Claims (4)
1. the prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion, it is characterized in that, comprise environmental data collecting module, radio access node, on-site supervision center, remote monitoring cloud service center, mobile terminal device and regulation and control execution module;
Described environmental data collecting module comprises multi-parameter water quality intelligent sensing submodule and the meteorological sensing submodule of multiparameter, and described regulation and control execution module comprises regulation and control actuator and site environment adjusting device;
Described multi-parameter water quality intelligent sensing submodule is connected with described radio access node respectively with the meteorological sensing submodule of described multiparameter, and described radio access node is also connected with described on-site supervision center;
Described on-site supervision center is connected with described radio access node, is also connected with described remote monitoring cloud service center, described regulation and control actuator respectively;
Described remote monitoring cloud service center is connected with described on-site supervision center, is also connected with described mobile terminal device;
Described mobile terminal device is connected with described remote monitoring cloud service center, is also connected with described regulation and control actuator;
Described regulation and control actuator is connected with described on-site supervision center, described mobile terminal device respectively, is also connected with described site environment adjusting device.
2. a kind of prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion as claimed in claim 1, it is characterized in that, described multi-parameter water quality intelligent sensing submodule comprises dissolved oxygen sensor, conductivity sensor, cooling-water temperature sensor, acidity-basicity sensor and turbidity transducer, is connected respectively with described radio access node; The meteorological sensing submodule of described multiparameter comprises optical sensor, humidity sensor, baroceptor, air velocity transducer, is connected respectively with described radio access node.
3. a kind of prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion as claimed in claim 1, it is characterized in that, described mobile control device comprises mobile phone and portable computer, is connected respectively with described remote monitoring cloud service center and described regulation and control actuator.
4. a kind of prawn seed-rearing Intelligent environment control system based on multi-sensor information fusion as described in any one of claims 1 to 3, it is characterized in that, described site environment adjusting device comprises aerator, water-change pump, water temperature cold-hot controller, sunshade net and lighting, is connected respectively with described regulation and control actuator.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520492540.6U CN204790651U (en) | 2015-07-08 | 2015-07-08 | Shrimp environment intelligence control system that grows seedlings based on multisensor information fusion |
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| CN201520492540.6U CN204790651U (en) | 2015-07-08 | 2015-07-08 | Shrimp environment intelligence control system that grows seedlings based on multisensor information fusion |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106125803A (en) * | 2016-08-16 | 2016-11-16 | 江西科技师范大学 | Agricultural greenhouse monitoring system |
| CN106441458A (en) * | 2016-12-14 | 2017-02-22 | 青海师范大学 | SIM900A based intelligent remote water environment detection device |
| CN106774490A (en) * | 2016-11-24 | 2017-05-31 | 防城港市气象局气象信息服务中心 | A kind of aquaculture wisdom regulating system for automatically adjusting temperature |
| CN108594911A (en) * | 2018-05-30 | 2018-09-28 | 安徽润航农业科技开发有限公司 | A kind of aquaculture management system |
| CN109710007A (en) * | 2019-02-26 | 2019-05-03 | 南京工业职业技术学院 | Aquaculture intelligent monitor system |
| CN112325942A (en) * | 2020-11-06 | 2021-02-05 | 无锡一箩筐科技有限公司 | Fishpond monitoring and control system based on Internet of things |
-
2015
- 2015-07-08 CN CN201520492540.6U patent/CN204790651U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106125803A (en) * | 2016-08-16 | 2016-11-16 | 江西科技师范大学 | Agricultural greenhouse monitoring system |
| CN106774490A (en) * | 2016-11-24 | 2017-05-31 | 防城港市气象局气象信息服务中心 | A kind of aquaculture wisdom regulating system for automatically adjusting temperature |
| CN106441458A (en) * | 2016-12-14 | 2017-02-22 | 青海师范大学 | SIM900A based intelligent remote water environment detection device |
| CN108594911A (en) * | 2018-05-30 | 2018-09-28 | 安徽润航农业科技开发有限公司 | A kind of aquaculture management system |
| CN109710007A (en) * | 2019-02-26 | 2019-05-03 | 南京工业职业技术学院 | Aquaculture intelligent monitor system |
| CN112325942A (en) * | 2020-11-06 | 2021-02-05 | 无锡一箩筐科技有限公司 | Fishpond monitoring and control system based on Internet of things |
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Granted publication date: 20151118 Termination date: 20160708 |
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| CF01 | Termination of patent right due to non-payment of annual fee |