CN203191812U - Sunlight greenhouse sensing data acquisition sensing intelligent processor system - Google Patents
Sunlight greenhouse sensing data acquisition sensing intelligent processor system Download PDFInfo
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- CN203191812U CN203191812U CN2013202220473U CN201320222047U CN203191812U CN 203191812 U CN203191812 U CN 203191812U CN 2013202220473 U CN2013202220473 U CN 2013202220473U CN 201320222047 U CN201320222047 U CN 201320222047U CN 203191812 U CN203191812 U CN 203191812U
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- 230000005540 biological transmission Effects 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims description 21
- 239000002689 soil Substances 0.000 claims description 10
- 230000008447 perception Effects 0.000 claims description 9
- 238000012546 transfer Methods 0.000 claims description 6
- 235000015097 nutrients Nutrition 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 3
- 238000010295 mobile communication Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 abstract description 6
- 238000013461 design Methods 0.000 abstract description 2
- 230000007246 mechanism Effects 0.000 abstract description 2
- 230000006855 networking Effects 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 abstract 1
- 238000013524 data verification Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 238000012795 verification Methods 0.000 description 3
- 239000003337 fertilizer Substances 0.000 description 2
- 230000002262 irrigation Effects 0.000 description 2
- 238000003973 irrigation Methods 0.000 description 2
- 230000007480 spreading Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010205 computational analysis Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
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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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The utility model relates to the technical field of intelligent sensing, and especially relates to a sunlight greenhouse sensing data acquisition sensing intelligent processor system. The system comprises a command and control center, a network layer, a sensor module and a device layer. The command and control center is provided with operators and a data processing center. The data processing center is connected with the sensor module through the network layer. A plurality of devices on the device layer are driven through a remote controller. A plurality of sensors of the sensor module matches and are connected with the devices of the device layer, such that information acquisition is completed. The system provided by the utility model has the advantages of reasonable structure design. A multi-node data transmission mechanism is adopted. The sensors acquire real-time environmental information, and carries out networking and calculation. Data verification is carried out during intermediate data transmission processes, such that operation error is prevented, data acquisition efficiency is high, and requirement by complicated environment can be satisfied. The system has excellent market popularization value.
Description
Technical field
The utility model relates to the intelligent sensing technical field, and especially the heliogreenhouse sensing data is gathered perception intelligent processor system.
Background technology
Heliogreenhouse is in monitoring, management at present; various sensor less important works have been begun generally to use; usually can monitor the temperature in the greenhouse, humidity, intensity of illumination; grasp various environmental index parameters in the greenhouse as far as possible in the hope of reaching; in order to according to concrete environment and equipment running, adjust each environmental factor of heliogreenhouse to optimum condition.Existing way adopts large tracts of land, high density to scatter the method for many types of sensor mostly, by computational analysis after the terminal receiving sensor information.This method operation is trouble very, need many people's operations, especially the information timeliness of each sensor collection is very high, prior art can't satisfy real-time image data, analysis data, counte-rplan are formulated and the high frequency information transmission of implementing, simultaneously in default of data necessary verification module, there are faulty operation, numeral to misread to lead to errors problems such as commander's control, can't satisfy the needs of modernized heliogreenhouse.
The utility model content
The purpose of this utility model is to provide the heliogreenhouse sensing data to gather perception intelligent processor system in order to overcome above-mentioned technical disadvantages.
The technical scheme that the utility model technical solution problem adopts is: the heliogreenhouse sensing data is gathered perception intelligent processor system, comprise the command and control center, network layer, sensor module and mechanical floor, described command and control center comprises the report output module, data processing centre (DPC) and remote controllers, described network layer comprises topological network and the gateway access point that is connected topological network, described sensor module comprises soil humidity sensor, air temperature sensor, the light intensity sensor, soil nutrient sensor and temperature sensor, described command and control center connects the report output module respectively, data processing centre (DPC) and remote controllers, described data processing centre (DPC) connects the report output module, alarm sensor and network layer, a plurality of sensors of described sensor module all are connected with mechanical floor, and by gateway access point connection network layer, described gateway access point also connects alarm sensor respectively, remote controllers and mechanical floor.
Described remote controllers are connected to data path by the multiple devices of gateway access point and mechanical floor, and transmission drives instruction.
Described network layer is the node type topological structure based on mobile communications network, and the transmission intermediate data is to data processing centre (DPC).
Described alarm sensor is the electronic signal sensor that possesses the data check function, and the transfer check data are to data processing centre (DPC).
A plurality of sensors of described sensor module multiple devices of matching unit layer respectively form the signals collecting path.
The beneficial effect that the utility model has is: the utility model reasonable in design, adopt the multinode data transmission mechanism, obtain the also networking transmission voluntarily of real time environment information, calculating by sensor, in intermediate data transmission in the past, carry out data check, prevent maloperation, the data acquisition efficiency height, the needs of adaptation complex environment have splendid marketing using value.
Description of drawings
Accompanying drawing 1 is structural representation of the present utility model.
Embodiment
Do following detailed description below in conjunction with 1 pair of the utility model of accompanying drawing.
As shown in Figure 1, the utility model comprises command and control center 1, network layer 2, sensor module 4 and mechanical floor 3, described command and control center 1 comprises report output module 11, data processing centre (DPC) 12 and remote controllers 13, described network layer 2 comprises topological network and the gateway access point 21 that is connected topological network, described sensor module 4 comprises soil humidity sensor 41, air temperature sensor 42, light intensity sensor 43, soil nutrient sensor 44 and temperature sensor 45, described command and control center 1 connects report output module 11 respectively, data processing centre (DPC) 12 and remote controllers 13, described data processing centre (DPC) 12 connects report output module 11, alarm sensor 46 and network layer 2, a plurality of sensors of described sensor module 4 all are connected with mechanical floor 3, and by gateway access point 21 connection network layers 2, described gateway access point 21 also connects alarm sensor 46 respectively, remote controllers 13 and mechanical floor 3.In the operational process, command and control center 1 is equipped with the operator, and data processing centre (DPC) 12 exports the result after the information processing by report output module 11 after, the operator studies and judges, and according to concrete environment and equipment running, adjust each environmental factor of heliogreenhouse to optimum condition.
Described remote controllers 13 are connected to data path by the multiple devices of gateway access point 21 and mechanical floor 3, and transmission drives instruction.In the operational process, the operator sends instruction by remote controllers 13, and equipment such as the roller shutter of driving arrangement layer 3, volume film device, static pressure drip irrigation trunk line, throttling valve, fertilizer spreading tank are regulated and control the every environmental index in the heliogreenhouse respectively.
Described network layer 2 is the node type topological structure based on mobile communications network, and the transmission intermediate data is to data processing centre (DPC) 12.In the operational process, a plurality of contacts of network layer 2 spread all over heliogreenhouse everywhere, gather environmental datas by a plurality of sensors of different model, difference in functionality, generate electronic signal and transfer to that data processing centre (DPC) 12 is calculated, verification and processing.
Described alarm sensor 46 is for possessing the electronic signal sensor of data check function, and the transfer check data are to data processing centre (DPC) 12.In the operational process, alarm sensor 46 carries out data sharing with a plurality of sensors of sensor module 4, and the data of sensor collection are carried out the verification coupling, when outage or each node data do not conform to, sends alerting signal and transfers to the command and control center.
A plurality of sensors of described sensor module 4 multiple devices of matching unit layer 3 respectively form the signals collecting path.In the operational process, the real-time running state information of soil humidity sensor 41 collection soil humidity informations and static pressure drip irrigation trunk line, throttling valve equipment, air humidity sensor 42 is gathered air moisture content information, the day intensity information in each zone in light intensity sensor 43 greenhouses, the implementation running state information that soil nutrient sensor 44 is gathered soil nutrient information and fertilizer spreading tank, the real-time running state information of temperature sensor 45 collection environment temperature parameters and roller shutter, volume film device.
The signal that described sensor module 4 is gathered, transfer to data processing centre (DPC) 12 through network layer 2, data processing centre (DPC) reports by report output module 11 generation information the 12 intelligent backs of handling, the operator formulates processing scheme according to information report, and gives the specific aim control manipulation by the various kinds of equipment of remote controllers 13 blending equipment layers 3.
Claims (5)
1. the heliogreenhouse sensing data is gathered perception intelligent processor system, comprise the command and control center, network layer, sensor module and mechanical floor, it is characterized in that: described command and control center comprises the report output module, data processing centre (DPC) and remote controllers, described network layer comprises topological network and the gateway access point that is connected topological network, described sensor module comprises soil humidity sensor, air temperature sensor, the light intensity sensor, soil nutrient sensor and temperature sensor, described command and control center connects the report output module respectively, data processing centre (DPC) and remote controllers, described data processing centre (DPC) connects the report output module, alarm sensor and network layer, a plurality of sensors of described sensor module all are connected with mechanical floor, and by gateway access point connection network layer, described gateway access point also connects alarm sensor respectively, remote controllers and mechanical floor.
2. heliogreenhouse sensing data according to claim 1 is gathered perception intelligent processor system, and it is characterized in that: described remote controllers are connected to data path by the multiple devices of gateway access point and mechanical floor, and transmission drives instruction.
3. heliogreenhouse sensing data according to claim 1 is gathered perception intelligent processor system, it is characterized in that: described network layer is the node type topological structure based on mobile communications network, and the transmission intermediate data is to data processing centre (DPC).
4. heliogreenhouse sensing data according to claim 1 is gathered perception intelligent processor system, and it is characterized in that: described alarm sensor is the electronic signal sensor that possesses the data check function, and the transfer check data are to data processing centre (DPC).
5. heliogreenhouse sensing data according to claim 1 is gathered perception intelligent processor system, it is characterized in that: a plurality of sensors of described sensor module multiple devices of matching unit layer respectively form the signals collecting path.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013202220473U CN203191812U (en) | 2013-04-27 | 2013-04-27 | Sunlight greenhouse sensing data acquisition sensing intelligent processor system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013202220473U CN203191812U (en) | 2013-04-27 | 2013-04-27 | Sunlight greenhouse sensing data acquisition sensing intelligent processor system |
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| Publication Number | Publication Date |
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| CN203191812U true CN203191812U (en) | 2013-09-11 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2013202220473U Expired - Fee Related CN203191812U (en) | 2013-04-27 | 2013-04-27 | Sunlight greenhouse sensing data acquisition sensing intelligent processor system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110703730A (en) * | 2019-10-15 | 2020-01-17 | 紫光云(南京)数字技术有限公司 | Data acquisition testing method and device based on MES |
-
2013
- 2013-04-27 CN CN2013202220473U patent/CN203191812U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110703730A (en) * | 2019-10-15 | 2020-01-17 | 紫光云(南京)数字技术有限公司 | Data acquisition testing method and device based on MES |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: ZHANGYE SUMEILUN MODERN AGRICULTURAL TECHNOLOGY EQ Free format text: FORMER OWNER: ZHAO WENYIN Effective date: 20140827 |
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| C41 | Transfer of patent application or patent right or utility model | ||
| C53 | Correction of patent for invention or patent application | ||
| CB03 | Change of inventor or designer information |
Inventor after: Yang Feilong Inventor before: Zhao Wenyin |
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| COR | Change of bibliographic data |
Free format text: CORRECT: INVENTOR; FROM: ZHAO WENYIN TO: YANG FEILONG |
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| TR01 | Transfer of patent right |
Effective date of registration: 20140827 Address after: 734000 Gansu Province, Zhangye city Ganzhou District Liang Jia Dun Ying en six Village No. 7 Patentee after: ZHANGYE SUMEILUN MODERN AGRICULTURAL TECHNOLOGY AND EQUIPMENT CO., LTD. Address before: 734000 Gansu Province, Zhangye city Ganzhou District Liang Jia Dun Ying en six Village No. 7 Patentee before: Zhao Wenyin |
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130911 Termination date: 20160427 |