CN107748531A - A kind of agricultural breeding environmental monitoring system based on big data - Google Patents

A kind of agricultural breeding environmental monitoring system based on big data Download PDF

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Publication number
CN107748531A
CN107748531A CN201711286566.5A CN201711286566A CN107748531A CN 107748531 A CN107748531 A CN 107748531A CN 201711286566 A CN201711286566 A CN 201711286566A CN 107748531 A CN107748531 A CN 107748531A
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China
Prior art keywords
soil
agricultural
platform
big data
remote control
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Application number
CN201711286566.5A
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Chinese (zh)
Inventor
邹远龙
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Sichuan Seek Technology Co Ltd
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Sichuan Seek Technology Co Ltd
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Priority to CN201711286566.5A priority Critical patent/CN107748531A/en
Publication of CN107748531A publication Critical patent/CN107748531A/en
Withdrawn legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of agricultural breeding environmental monitoring system based on big data, it is characterised in that:The system includes processor, air wet temp detector, soil wet temp detector, P in soil H value detection devices, CO2Detection means, optical sensor, agroecological environment management and monitoring platform, agricultural facility remote control, cloud computing platform;Agricultural facility remote control can start corresponding device by the instruction received.The present invention is monitored using big data to agricultural breeding environment, improves breeding efficiency.

Description

A kind of agricultural breeding environmental monitoring system based on big data
Technical field
The present invention relates to environmental monitoring system, particularly a kind of agricultural breeding environmental monitoring system based on big data.
Background technology
Agriculture (Agriculture) is the growth-development law using animals and plants, and product is obtained by artificial culture Industry.Agricultural belongs to the primary industry, and the science for studying agricultural is agronomy.The subject of labour of agricultural is lived animals and plants, is obtained Product be animals and plants in itself, agricultural be to provide support the development of the national economy with development basic industry.
Agricultural breeding of the prior art is artificial farming mostly, and breeding efficiency is not high.
The content of the invention
The shortcomings that it is an object of the invention to overcome prior art, there is provided one kind can carry out real-time to agricultural breeding environment The system for monitoring and using cloud computing platform data being carried out with analysis feedback in real time.
The purpose of the present invention is achieved through the following technical solutions:A kind of agricultural breeding environmental monitoring system based on big data System, it is characterised in that:The system includes processor, air wet temp detector, soil wet temp detector, P in soil H Value detection device, CO2Detection means, optical sensor, agroecological environment management and monitoring platform, agricultural facility remote control, Cloud computing platform;
The air wet temp detector, soil wet temp detector, P in soil H value detection devices, CO2Detection means and Input signal of the output signal of optical sensor as processor, the output signal of the processor are transmitted by transmission network To agroecological environment management and monitoring platform, the output end and agricultural facility of the agroecological environment management and monitoring platform are long-range The input of control is connected, and the agroecological environment management and monitoring platform is connected with each other with cloud computing platform.
Preferably, the air wet temp detector is used to detect environmental air damp-warm syndrome angle value, the soil damp-warm syndrome Degree detection means is used for the humidity and temperature value for detecting soil, and the P in soil H value detection devices are used to detect pH value in soil, The CO2Detection means is used to detect CO in air2Concentration, the optical sensor are used to detect ambient lighting power, each dress Detected value is put to transmit to agroecological environment management and monitoring platform, poultry feeders and can check at any time by transmission network Data collected by agroecological environment monitor supervision platform, data can be also automatically analyzed by cloud computing platform and pass through analysis result profit Every factor of environment is automatically controlled with agricultural facility remote control.
Preferably, the agricultural facility remote control is used for every ambient parameter of remote control agricultural breeding system, bag Include but be not limited to air damp-warm syndrome angle value, soil damp-warm syndrome angle value, P in soil H values, CO2Concentration and light intensity.
Preferably, the cloud computing platform collects every detection data by transmission network, data are analyzed and incite somebody to action Analyze data feeds back to agroecological environment management and monitoring platform.
Preferably, the agroecological environment management and monitoring platform is used to receive the data detected by each detection means And agricultural breeding environment is monitored in real time.
The gain effect that the present invention has:Traditional agricultural breeding is combined by the present invention with big data, utilizes cloud computing Platform carries out analysis calculating to data, can automatically control the device for changing environment factor, and liberation labour also makes agricultural breeding Operating efficiency it is higher.
Brief description of the drawings
Fig. 1 is the structural representation of the present invention.
Embodiment
The present invention will be further described below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to following institute State.
A kind of as shown in figure 1, agricultural breeding environmental monitoring system based on big data, it is characterised in that:The system bag Include processor, air wet temp detector, soil wet temp detector, P in soil H value detection devices, CO2Detection means, Optical sensor, agroecological environment management and monitoring platform, agricultural facility remote control, cloud computing platform;
The air wet temp detector, soil wet temp detector, P in soil H value detection devices, CO2Detection means and Input signal of the output signal of optical sensor as processor, the output signal of the processor are transmitted by transmission network To agroecological environment management and monitoring platform, the output end and agricultural facility of the agroecological environment management and monitoring platform are long-range The input of control is connected, and the agroecological environment management and monitoring platform is connected with each other with cloud computing platform.
Preferably, the air wet temp detector is used to detect environmental air damp-warm syndrome angle value, the soil damp-warm syndrome Degree detection means is used for the humidity and temperature value for detecting soil, and the P in soil H value detection devices are used to detect pH value in soil, The CO2Detection means is used to detect CO in air2Concentration, the optical sensor are used to detect ambient lighting power, each dress Detected value is put to transmit to agroecological environment management and monitoring platform, poultry feeders and can check at any time by transmission network Data collected by agroecological environment monitor supervision platform, data can be also automatically analyzed by cloud computing platform and pass through analysis result profit Every factor of environment is automatically controlled with agricultural facility remote control.
Preferably, the agricultural facility remote control is used for every ambient parameter of remote control agricultural breeding system, bag Include but be not limited to air damp-warm syndrome angle value, soil damp-warm syndrome angle value, P in soil H values, CO2Concentration and light intensity.
Preferably, the cloud computing platform collects every detection data by transmission network, data are analyzed and incite somebody to action Analyze data feeds back to agroecological environment management and monitoring platform.
Preferably, the agroecological environment management and monitoring platform is used to receive the data detected by each detection means And agricultural breeding environment is monitored in real time.
Preferably, one group of environment factor value, including P in soil H values, air wet temp, soil can be set using the present invention Wet temp, CO2Concentration value, light exposure intensity etc., and the growing state of observational record plant in such circumstances;In a period of time A certain environment factor value is changed afterwards, records the growing state of plant, carrying out analysis to data by cloud computing platform can To draw the environment factor value of most suitable plant growth.
Preferably, one group of environment factor value of most suitable plant growth is set to standard value, utilizes each detection means pair Analog value is detected, can be remote to agricultural facility by feedback of the information when cloud computing platform detects that a certain value changes Process control, the agricultural facility remote control can change ambient conditions automatically.
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.
Above disclosure is only preferred embodiment of present invention, can not limit the interest field of the present invention with this certainly, Therefore the equivalent variations made according to the claims in the present invention, the scope that the present invention is covered still is belonged to.

Claims (4)

  1. A kind of 1. agricultural breeding environmental monitoring system based on big data, it is characterised in that:The system includes processor, air Wet temp detector, soil wet temp detector, P in soil H value detection devices, CO2Detection means, optical sensor, agriculture Industry eco-environmental management monitor supervision platform, agricultural facility remote control, cloud computing platform;
    The air wet temp detector, soil wet temp detector, P in soil H value detection devices, CO2Detection means and light According to input signal of the output signal as processor of sensor, the output signal of the processor by transmission network transmit to Agroecological environment management and monitoring platform, the output end of the agroecological environment management and monitoring platform are remotely controlled with agricultural facility The input of system is connected, and the agroecological environment management and monitoring platform is connected with each other with cloud computing platform.
  2. A kind of 2. agricultural breeding environmental monitoring system based on big data according to claim 1, it is characterised in that:It is described Agricultural facility remote control includes pH value and changes device, humidifier, ventilation unit, temperature control equipment, Light Control Unit, institute State every ambient parameter that agricultural facility remote control is used for remote control agricultural breeding system, including but not limited to air damp-warm syndrome Angle value, soil damp-warm syndrome angle value, P in soil H values, CO2Concentration and light intensity.
  3. A kind of 3. agricultural breeding environmental monitoring system based on big data according to claim 2, it is characterised in that:It is described Cloud computing platform collects every detection data by transmission network, and data are analyzed and analyze data is fed back into agriculture life State environmental management monitor supervision platform.
  4. A kind of 4. agricultural breeding environmental monitoring system based on big data according to claim 1, it is characterised in that:It is described Agroecological environment management and monitoring platform is used to receive the data detected by each detection means and enter agricultural breeding environment Row monitoring in real time.
CN201711286566.5A 2017-12-07 2017-12-07 A kind of agricultural breeding environmental monitoring system based on big data Withdrawn CN107748531A (en)

Priority Applications (1)

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CN201711286566.5A CN107748531A (en) 2017-12-07 2017-12-07 A kind of agricultural breeding environmental monitoring system based on big data

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CN201711286566.5A CN107748531A (en) 2017-12-07 2017-12-07 A kind of agricultural breeding environmental monitoring system based on big data

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109116897A (en) * 2018-07-27 2019-01-01 安徽神州生态农业发展有限公司 A kind of agricultural planting ambient intelligence adjusting method based on big data
CN109283904A (en) * 2018-11-07 2019-01-29 温州杉果数据科技有限公司 A kind of cloud computing environment monitoring system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106094713A (en) * 2016-08-09 2016-11-09 宜兴市中诚物联网科技有限公司 A kind of agricultural multi-functions network monitoring system for things and monitoring method
CN106254476A (en) * 2016-08-09 2016-12-21 沈阳君农哥科技有限公司 Agroecological environment information management based on Internet of Things, big data and cloud computing and monitoring method and system
CN207937840U (en) * 2017-12-07 2018-10-02 四川谋席科技有限公司 A kind of agricultural breeding environmental monitoring system based on big data

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106094713A (en) * 2016-08-09 2016-11-09 宜兴市中诚物联网科技有限公司 A kind of agricultural multi-functions network monitoring system for things and monitoring method
CN106254476A (en) * 2016-08-09 2016-12-21 沈阳君农哥科技有限公司 Agroecological environment information management based on Internet of Things, big data and cloud computing and monitoring method and system
CN207937840U (en) * 2017-12-07 2018-10-02 四川谋席科技有限公司 A kind of agricultural breeding environmental monitoring system based on big data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109116897A (en) * 2018-07-27 2019-01-01 安徽神州生态农业发展有限公司 A kind of agricultural planting ambient intelligence adjusting method based on big data
CN109283904A (en) * 2018-11-07 2019-01-29 温州杉果数据科技有限公司 A kind of cloud computing environment monitoring system

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Application publication date: 20180302

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