CN107861551A - A kind of intelligent greenhouse system based on big data - Google Patents
A kind of intelligent greenhouse system based on big data Download PDFInfo
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- CN107861551A CN107861551A CN201810001334.9A CN201810001334A CN107861551A CN 107861551 A CN107861551 A CN 107861551A CN 201810001334 A CN201810001334 A CN 201810001334A CN 107861551 A CN107861551 A CN 107861551A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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Abstract
The invention discloses a kind of intelligent greenhouse system based on big data, including：Cloud Server, mobile terminal, monitoring module, monitoring modular, execution module and central processing module, monitoring module includes image capture module and image processing module, monitoring modular includes humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor, soil salinity sensor, execution module includes air humidifying device, carbon dioxide adding set, heating apparatus, air interchanger, irrigation rig and light illuminating unit, central processing module includes MCU, memory and communication module, the present invention effectively raises operating efficiency, intellectual monitoring greenhouse items environmental data, and combine image procossing, under the support of big data, intelligent optimization greenhouse-environment.
Description
Technical field
The present invention relates to agricultural greenhouse technical field, particularly a kind of intelligent greenhouse system based on big data.
Background technology
Cloud computing wins rapidly user's as technology emerging in recent years with its advantage flexible, convenient, that cost is low
Favor, every field is used widely in production and living, in view of the application development present situation of cloud computing technology, can be cloud meter
The application calculated in greenhouse administrative skill provides solid technical support.
Common agricultural greenhouse is inclined to unification with data acquisition processing system in the market, the Crop Information of collection compared with
To be simple, thus when being controlled using data to crop growth environment can not comprehensive care, cause system overall
Operating efficiency is relatively low, in addition, what common agricultural greenhouse system can not be intelligent optimizes compensation to greenhouse-environment, using artificial place
The method of reason, efficiency comparison is low, and accuracy rate is likely to result in irremediable loss also than relatively low.
The content of the invention
In order to solve the above problems, the present invention proposes a kind of intelligent greenhouse system based on big data.
Specifically, a kind of intelligent greenhouse system based on big data, including：Cloud Server, mobile terminal, monitoring module,
Monitoring modular, execution module and central processing module, the monitoring module include image capture module and image processing module, institute
Stating monitoring modular includes humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor, soil salt
Sub-sensor, the execution module include air humidifying device, carbon dioxide adding set, heating apparatus, air interchanger, irrigation
Device and light illuminating unit, the central processing module include MCU, memory and communication module.
Further, the light illuminating unit includes GPS and light compensating lamp, and the light compensating lamp is multigroup, and the light compensating lamp is set
At the top of greenhouse.
Further, the humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor,
Soil salinity sensor, air humidifying device, carbon dioxide adding set, heating apparatus, air interchanger, irrigation rig, GPS and
Light compensating lamp is connected by CAN bus system with the MCU, the memory, communication module and image processing module respectively with institute
MCU connections are stated, described image acquisition module is connected with described image processing module.
Further, the humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor
And soil salinity sensor is used to gather Monitoring Data and send the monitoring information collected to the MCU；
The GPS is used to gather GPS information and send it to the MCU, and GPS information includes location information and temporal information；
The MCU is used to by the communication module send the monitoring information received to described in the Cloud Server and reception
The instruction that Cloud Server is sent；
The Cloud Server is used to receive, store monitoring information, and corresponding execute instruction is calculated simultaneously according to monitoring information
Execute instruction is sent to the MCU；
The mobile terminal is used for the Cloud Server sends inquiry, modification instructs.
Further, the memory is used to store lighting angle calculation procedure, and the program is real using ecliptic obliquity algorithm
It is existing, after the MCU receives GPS information, lighting angle calculation procedure is called, is joined using location information and temporal information as input
Number, current sunlight angle is obtained by ecliptic obliquity algorithm.
Further, the MCU is calculated using the sunlight angle being calculated as input parameter by preset algorithm
Light supply scheme is obtained, and the light compensating lamp corresponding to control is lighted.
Further, described image acquisition module is used to gather crop map picture in greenhouse, and described image processing module is used
Be tod in extracting crops view data and sending crops view data to the MCU, the MCU by the communication module
It is sent to the Cloud Server.
Further, described image acquisition module is high definition ball video camera, and the communication module is 3G/4G/WIFI modules.
Further, the Cloud Server is given birth to according to the monitoring information received and crops view data combination crops
Humidity, temperature, gas concentration lwevel, oxygen concentration and soil salt air is calculated most in each key element accounting data needed for length
The figure of merit is combined, and sends command adapted thereto to the MCU, and the humidification device, carbon dioxide addition dress are controlled by the MCU
Put, heating apparatus, air interchanger, irrigation rig and light illuminating unit execution corresponding instruction, the Cloud Server, which also passes through to monitor, to be believed
The historical data of breath and crops view data continues to optimize each optimum combination value to monitoring information of adjustment output.
The beneficial effects of the present invention are：Comprehensive monitoring greenhouse items environmental data, and image procossing is combined, in big data
Support under, Cloud Server, and can be with data by the way that the environmental index value most matched with plant growth in greenhouse is calculated
Renewal optimize every Monitoring Data index, and sent by wireless network by instruction is responded to the MCU in greenhouse, pass through MCU
Adjust the output of execution module, intelligent suitable environment greenhouse-environment being adjusted to needed for Different Crop.
Brief description of the drawings
Fig. 1 is a kind of intelligent greenhouse system schematic diagram based on big data of the present invention.
Embodiment
In order to which technical characteristic, purpose and the effect of the present invention is more clearly understood, now control illustrates this hair
Bright embodiment.
As shown in figure 1, a kind of intelligent greenhouse system based on big data, including：Cloud Server, mobile terminal, monitoring mould
Block, monitoring modular, execution module and central processing module, the monitoring module include image capture module and image procossing mould
Block, the monitoring modular include humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor, soil
Earth salt sub-sensor, the execution module include air humidifying device, carbon dioxide adding set, heating apparatus, air interchanger,
Irrigation rig and light illuminating unit, the central processing module include MCU, memory and communication module.
Further, the light illuminating unit includes GPS and light compensating lamp, and the light compensating lamp is multigroup, and the light compensating lamp is set
At the top of greenhouse.
Further, the humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor,
Soil salinity sensor, air humidifying device, carbon dioxide adding set, heating apparatus, air interchanger, irrigation rig, GPS and
Light compensating lamp is connected by CAN bus system with the MCU, the memory, communication module and image processing module respectively with institute
MCU connections are stated, described image acquisition module is connected with described image processing module.
Further, the humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor
And soil salinity sensor is used to gather Monitoring Data and send the monitoring information collected to the MCU；
The GPS is used to gather GPS information and send it to the MCU, and GPS information includes location information and temporal information；
The MCU is used to by the communication module send the monitoring information received to described in the Cloud Server and reception
The instruction that Cloud Server is sent；
The Cloud Server is used to receive, store monitoring information, and corresponding execute instruction is calculated simultaneously according to monitoring information
Execute instruction is sent to the MCU；
The mobile terminal is used for the Cloud Server sends inquiry, modification instructs.
Further, the memory is used to store lighting angle calculation procedure, and the program is real using ecliptic obliquity algorithm
It is existing, after the MCU receives GPS information, lighting angle calculation procedure is called, is joined using location information and temporal information as input
Number, current sunlight angle is obtained by ecliptic obliquity algorithm.
Further, the MCU is calculated using the sunlight angle being calculated as input parameter by preset algorithm
Light supply scheme is obtained, and the light compensating lamp corresponding to control is lighted.
Further, described image acquisition module is used to gather crop map picture in greenhouse, and described image processing module is used
Be tod in extracting crops view data and sending crops view data to the MCU, the MCU by the communication module
It is sent to the Cloud Server.
Further, described image acquisition module is high definition ball video camera, and the communication module is 3G/4G/WIFI modules.
Further, the Cloud Server is given birth to according to the monitoring information received and crops view data combination crops
Humidity, temperature, gas concentration lwevel, oxygen concentration and soil salt air is calculated most in each key element accounting data needed for length
The figure of merit is combined, and sends command adapted thereto to the MCU, and the humidification device, carbon dioxide addition dress are controlled by the MCU
Put, heating apparatus, air interchanger, irrigation rig and light illuminating unit execution corresponding instruction, the Cloud Server, which also passes through to monitor, to be believed
The historical data of breath and crops view data continues to optimize each optimum combination value to monitoring information of adjustment output.
It should be noted that for foregoing each embodiment of the method, in order to be briefly described, therefore it is all expressed as to a system
The combination of actions of row, but those skilled in the art should know, the application is not limited by described sequence of movement, because
For according to the application, certain some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should
Know, embodiment described in this description belongs to preferred embodiment, involved action and unit not necessarily this Shen
Please be necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in some embodiment
Part, may refer to the associated description of other embodiment.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
The hardware of correlation is instructed to complete by computer program, described program can be stored in computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, ROM, RAM etc..
Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly
Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.
Claims (9)
- A kind of 1. intelligent greenhouse system based on big data, it is characterised in that including：Cloud Server, mobile terminal, monitoring mould Block, monitoring modular, execution module and central processing module, the monitoring module include image capture module and image procossing mould Block, the monitoring modular include humidity sensor, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor, soil Earth salt sub-sensor, the execution module include air humidifying device, carbon dioxide adding set, heating apparatus, air interchanger, Irrigation rig and light illuminating unit, the central processing module include MCU, memory and communication module.
- A kind of 2. intelligent greenhouse system based on big data according to claim 1, it is characterised in that：The light illuminating unit Including GPS and light compensating lamp, the light compensating lamp is multigroup, and the light compensating lamp is arranged at the top of greenhouse.
- A kind of 3. intelligent greenhouse system based on big data according to claim 2, it is characterised in that：The humidity sensor Device, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor, soil salinity sensor, air humidifying device, Carbon dioxide adding set, heating apparatus, air interchanger, irrigation rig, GPS and light compensating lamp by CAN bus system with it is described MCU connections, the memory, communication module and image processing module are connected with the MCU respectively, described image acquisition module with Described image processing module connects.
- A kind of 4. intelligent greenhouse system based on big data according to claim 3, it is characterised in that：The humidity sensor Device, temperature sensor, gas concentration lwevel sensor, oxygen concentration sensor and soil salinity sensor are used to gather monitoring number Sent according to and by the monitoring information that collects to the MCU；The GPS is used to gather GPS information and send it to the MCU, and GPS information includes location information and temporal information；The MCU is used to by the communication module send the monitoring information received to described in the Cloud Server and reception The instruction that Cloud Server is sent；The Cloud Server is used to receive, store monitoring information, and corresponding execute instruction is calculated simultaneously according to monitoring information Execute instruction is sent to the MCU；The mobile terminal is used for the Cloud Server sends inquiry, modification instructs.
- A kind of 5. intelligent greenhouse system based on big data according to claim 4, it is characterised in that：The memory is used In storage lighting angle calculation procedure, the program is realized using ecliptic obliquity algorithm, after the MCU receives GPS information, is called Lighting angle calculation procedure, using location information and temporal information as input parameter, current sun is obtained by ecliptic obliquity algorithm Irradiation angle.
- A kind of 6. intelligent greenhouse system based on big data according to claim 5, it is characterised in that：The MCU will be counted As input parameter light supply scheme is calculated by preset algorithm, and control correspondingly in obtained sunlight angle The light compensating lamp light.
- A kind of 7. intelligent greenhouse system based on big data according to claim 6, it is characterised in that：Described image gathers Module is used to gather crop map picture in greenhouse, and described image processing module is used to extracting crops view data and by crops View data sends to the MCU, the MCU and sends it to the Cloud Server by the communication module.
- A kind of 8. intelligent greenhouse system based on big data according to claim 7, it is characterised in that：Described image gathers Module is high definition ball video camera, and the communication module is 3G/4G/WIFI modules.
- A kind of 9. intelligent greenhouse system based on big data according to claim 8, it is characterised in that：The Cloud Server It is calculated according to each key element accounting data needed for the monitoring information and crops view data combination crop growth that receive The optimal value combination of humidity, temperature, gas concentration lwevel, oxygen concentration and soil salt air, and send to the MCU corresponding Instruction, the humidification device, carbon dioxide adding set, heating apparatus, air interchanger, irrigation rig are controlled by the MCU And light illuminating unit perform corresponding instruction, the Cloud Server also by the historical data of monitoring information and crops view data not The disconnected each optimum combination value to monitoring information for optimizing and revising output.
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| CN201810001334.9A CN107861551A (en) | 2018-01-02 | 2018-01-02 | A kind of intelligent greenhouse system based on big data |
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| CN108664062A (en) * | 2018-06-05 | 2018-10-16 | 厦门柏事特信息科技有限公司 | Crop growth monitoring device and its operating system based on dynamic image video analysis |
| CN108896102A (en) * | 2018-05-17 | 2018-11-27 | 常州信息职业技术学院 | A kind of high efficient and reliable bus type ECOLOGICAL ENVIRONMENTAL MONITORING system and its monitoring method |
| CN108983847A (en) * | 2018-06-28 | 2018-12-11 | 太仓市思卡拓机械科技有限公司 | A kind of environmental monitoring system for unattended green house of vegetables |
| CN108966948A (en) * | 2018-08-04 | 2018-12-11 | 温州科技职业学院 | A kind of intelligent greenhouse system based on big data |
| CN109213237A (en) * | 2018-09-12 | 2019-01-15 | 扬州大学 | A kind of intelligent agricultural greenhouse control system |
| CN109542146A (en) * | 2018-05-29 | 2019-03-29 | 菏泽学院 | The long-range plant physiological ecology monitor control system in greenhouse based on big data analysis |
| CN110908326A (en) * | 2019-11-25 | 2020-03-24 | 广东省海洋工程装备技术研究所 | Intelligent fishing ground system based on digital twins and working method thereof |
| CN111766911A (en) * | 2020-07-10 | 2020-10-13 | 淄博职业学院 | Greenhouse intelligent management platform based on big data |
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| CN108896102A (en) * | 2018-05-17 | 2018-11-27 | 常州信息职业技术学院 | A kind of high efficient and reliable bus type ECOLOGICAL ENVIRONMENTAL MONITORING system and its monitoring method |
| CN109542146A (en) * | 2018-05-29 | 2019-03-29 | 菏泽学院 | The long-range plant physiological ecology monitor control system in greenhouse based on big data analysis |
| CN108664062A (en) * | 2018-06-05 | 2018-10-16 | 厦门柏事特信息科技有限公司 | Crop growth monitoring device and its operating system based on dynamic image video analysis |
| CN108983847A (en) * | 2018-06-28 | 2018-12-11 | 太仓市思卡拓机械科技有限公司 | A kind of environmental monitoring system for unattended green house of vegetables |
| CN108966948A (en) * | 2018-08-04 | 2018-12-11 | 温州科技职业学院 | A kind of intelligent greenhouse system based on big data |
| CN109213237A (en) * | 2018-09-12 | 2019-01-15 | 扬州大学 | A kind of intelligent agricultural greenhouse control system |
| CN110908326A (en) * | 2019-11-25 | 2020-03-24 | 广东省海洋工程装备技术研究所 | Intelligent fishing ground system based on digital twins and working method thereof |
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Application publication date: 20180330 |