CN106708142A - Rice management system based on internet of things - Google Patents
Rice management system based on internet of things Download PDFInfo
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- CN106708142A CN106708142A CN201710093872.0A CN201710093872A CN106708142A CN 106708142 A CN106708142 A CN 106708142A CN 201710093872 A CN201710093872 A CN 201710093872A CN 106708142 A CN106708142 A CN 106708142A
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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 rice management system based on the internet of things. The rice management system is mainly composed of a camera, an air humidity sensor, an air temperature sensor, a soil moisture sensor, a soil nutrient tester, a soil PH value sensor, a controller, a first alerter, a second alerter, an irrigation device and a display screen. The situation of water shortage, diseases and insect pests and lack of nutrition of rice fields can be intelligently judged so that the work personnel are enabled to timely take a countermeasure and a great environment can be provided for rice growth.
Description
Technical field
The present invention relates to Rice Cropping management domain, more particularly to a kind of paddy rice management system based on Internet of Things.
Background technology
Existing rice terrace, because long-term soil moisture is big, observation is more bothered, therefore discharges equal for disease and insect, fertilizer
Carried out by experience, therefore, can not in real time grasp the concrete condition of paddy growth so that the growth of paddy rice cannot be good
Growing environment.
The information for being disclosed in the background section is merely intended to increase the understanding to general background of the invention, without answering
In being considered as recognizing or imply in any form that the information structure has been the prior art well known to persons skilled in the art.
The content of the invention
It is an object of the invention to provide a kind of paddy rice management system based on Internet of Things, it can in real time grasp growth
Situation, so that good environment can be provided for paddy rice grows up.
To achieve the above object, the invention provides a kind of paddy rice management system based on Internet of Things, including：Video camera,
Its top for being located at rice terrace, ambient image and Rice Leaf image for obtaining rice terrace；Air humidity sensor and air
Temperature sensor, the air humidity sensor and air temperature sensor are located at the top of rice terrace；Soil moisture sensor,
It is embedded in the soil of rice terrace；Soil nutrient tester, in the embedded soil with rice terrace of its test probe, for surveying
Try the concentration of the soil nutrient of rice terrace；P in soil H value sensors, it is embedded in the soil of rice terrace；Data acquisition unit, its
Respectively with the video camera, air humidity sensor, air temperature sensor, soil moisture sensor, soil nutrient tester
And the connection of P in soil H values sensor；And controller, it is connected with the data acquisition unit；The controller includes：First analysis
The breach density of unit, its pest density being used in the ambient image according to rice terrace and Rice Leaf image obtains disease and insect
Hazard rating, more than the first alarm equipment alarm that the control of default hazard rating is connected by internet with the controller；Second
Analytic unit, it is used to judging whether air themperature more than the first predetermined threshold value or to judge whether are soil moisture and air humidity
Less than the second predetermined threshold value, controlled if more than the first predetermined threshold value or less than the second predetermined threshold value above rice terrace,
And the irrigation rig being connected with the controller is irrigated；And the 3rd analytic unit, it is used to judge the dense of soil nutrient
Whether degree and P in soil H are less than predetermined threshold value, are controlled if less than predetermined threshold value by showing that internet is connected with the controller
Display screen and the second alarm are shown and are alarmed.
Preferably, in above-mentioned technical proposal, the concentration of the soil nutrient includes：The concentration of nitrogen, phosphorus and potassium.
Preferably, in above-mentioned technical proposal, the irrigation rig includes：Multiple shower nozzles above rice terrace, pass through
Water tank and the magnetic valve on pipeline that pipeline is connected with multiple shower nozzles, the magnetic valve connect with the controller
Connect.
Compared with prior art, the present invention has the advantages that：
The present invention be capable of intelligent decision rice terrace whether the degree of lacking of water shortage, disease and insect the condition of a disaster and nutrition so that work
Making personnel can timely make countermeasure, and good environment is provided for paddy rice grows up.
Brief description of the drawings
Fig. 1 is the structure chart of the paddy rice management system based on Internet of Things of the invention.
Specific embodiment
Below in conjunction with the accompanying drawings, specific embodiment of the invention is described in detail, it is to be understood that guarantor of the invention
Shield scope is not limited by specific embodiment.
Explicitly indicated that unless otherwise other, otherwise in entire disclosure and claims, term " including " or its change
Change such as "comprising" or " including " etc. and will be understood to comprise stated element or part, and do not exclude other units
Part or other parts.
Fig. 1 shows the knot of the structure chart of the paddy rice management system based on Internet of Things according to the preferred embodiment of the present invention
Structure schematic diagram.
As shown in figure 1, the structure chart of the paddy rice management system based on Internet of Things includes：Video camera 1, air humidity sensor
2nd, air temperature sensor 3, soil moisture sensor 4, soil nutrient tester 5, P in soil H values sensor 6, controller 8,
One alarm 9, the second alarm 10, irrigation rig 11 and display screen 12.
With continued reference to Fig. 1, video camera 1 is located at the top of rice terrace, ambient image and Rice Leaf for obtaining rice terrace
Image；Air humidity sensor 2 and air temperature sensor 3 are located at the top of rice terrace, humidity and temperature for obtaining air
Spend to determine whether dry weather；Soil moisture senses 4 devices and is embedded in the soil of rice terrace to obtain its moisture；Soil
In the embedded soil with rice terrace of the test probe of earth nutrient tester 5, for testing the concentration of the soil nutrient of rice terrace,
The concentration of soil nutrient includes：The concentration of nitrogen, phosphorus and potassium；P in soil H values sensor 6 is embedded in the soil of rice terrace to obtain
Its pH value；Data acquisition unit 7 is sensed with video camera 1, air humidity sensor 2, air temperature sensor 3, soil moisture respectively
Device 4, soil nutrient tester 5 and P in soil H values sensor 6 connect to obtain the data of the sensor collection；Controller 8 with
Data acquisition unit 7 is connected and is analyzed with to the data that sensor is gathered；Specifically, controller 8 includes：First analytic unit
81st, the second analytic unit 82 and the 3rd analytic unit 83, its analysis principle is：
Pest density and the breach of Rice Leaf image that first analytic unit 81 is used in the ambient image of rice terrace
Density obtains the hazard rating of disease and insect, specially：By a certain size particle in ambient image, as insect；As image goes out
The breach of existing two insects and Rice Leaf is two, then to endanger relatively low grade；There is four insects and Rice Leaf in image
Breach is four, then be moderate hazard rating；The breach that six insects and Rice Leaf occurs in image is six or more, then for tight
Weight hazard rating；Alarmed so that work by the first alarm 9 that internet is connected with controller 8 more than the control of moderate hazard rating
Corresponding countermeasure is made as personnel；
Second analytic unit 82 be used to judging air themperature whether more than the first predetermined threshold value (such as temperature is 40 degree) or
Whether soil moisture and air humidity are judged less than the second predetermined threshold value (water content of soil 10%, the water content of air 3%), if super
Cross the first predetermined threshold value or the irrigation for then controlling to be connected above rice terrace and with controller 8 less than the second predetermined threshold value
Device 11 is irrigated, and soil moisture content then stops irrigating higher than the water content of soil 20%；In the embodiment, irrigation rig bag
Include：Multiple shower nozzles above rice terrace, the water tank being connected with multiple shower nozzles by pipeline and the electromagnetism on pipeline
Valve, magnetic valve is connected with controller, is made whether to irrigate by controlling magnetic valve；
Whether the 3rd analytic unit 83 is used to judging the concentration and P in soil H of soil nutrient less than predetermined threshold value (such as N P and K
Ratio be 1：0.4-0.6：1-1.5, P in soil H<6), control to be connected with controller 8 by internet if less than predetermined threshold value
The alarm 10 of display screen 12 and second shown and alarmed, by display screen 12 show datamation personnel can make
Fixed optimal plan of fertilizer application.
The present invention be capable of intelligent decision rice terrace whether the degree of lacking of water shortage, disease and insect the condition of a disaster and nutrition so that work
Making personnel can timely make countermeasure, and good environment is provided for paddy rice grows up.
The foregoing description to specific illustrative embodiment of the invention be in order to illustrate and illustration purpose.These descriptions
It is not wishing to limit the invention to disclosed precise forms, and it will be apparent that according to above-mentioned teaching, can be much changed
And change.The purpose of selecting and describing the exemplary embodiment is that explaining that certain principles of the invention and its reality should
With so that those skilled in the art can realize and using a variety of exemplaries of the invention and
A variety of selections and change.The scope of the present invention is intended to be limited by claims and its equivalents.
Claims (3)
1. a kind of paddy rice management system based on Internet of Things, it is characterised in that including：
Video camera, its top for being located at rice terrace, ambient image and Rice Leaf image for obtaining rice terrace；
Air humidity sensor and air temperature sensor, the air humidity sensor and air temperature sensor are located at paddy rice
The top in field；
Soil moisture sensor, it is embedded in the soil of rice terrace；
Soil nutrient tester, in the embedded soil with rice terrace of its test probe, for testing the soil nutrient of rice terrace
Concentration；
P in soil H value sensors, it is embedded in the soil of rice terrace；
Data acquisition unit, it is sensed with the video camera, air humidity sensor, air temperature sensor, soil moisture respectively
The connection of device, soil nutrient tester and P in soil H values sensor；And
Controller, it is connected with the data acquisition unit；The controller includes：
The breach density of the first analytic unit, its pest density being used in the ambient image according to rice terrace and Rice Leaf image
The hazard rating of disease and insect is obtained, more than the first alarm that the control of default hazard rating is connected by internet with the controller
Device is alarmed；
Second analytic unit, it is used to judging whether air themperature more than the first predetermined threshold value or to judge soil moisture and air
Whether humidity is less than the second predetermined threshold value, is controlled if more than the first predetermined threshold value or less than the second predetermined threshold value located at paddy rice
The irrigation rig being connected above field and with the controller is irrigated；And
Whether the 3rd analytic unit, its concentration for being used to judge soil nutrient and P in soil H are less than predetermined threshold value, if less than default
Threshold value then controls the display screen being connected with the controller by internet and the second alarm to be shown and alarmed.
2. the paddy rice management system based on Internet of Things according to claim 1, it is characterised in that the soil nutrient it is dense
Degree includes：The concentration of nitrogen, phosphorus and potassium.
3. the paddy rice management system based on Internet of Things according to claim 1, it is characterised in that the irrigation rig bag
Include：Multiple shower nozzles above rice terrace, the water tank being connected with multiple shower nozzles by pipeline and on pipeline
Magnetic valve, the magnetic valve is connected with the controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710093872.0A CN106708142A (en) | 2017-02-21 | 2017-02-21 | Rice management system based on internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710093872.0A CN106708142A (en) | 2017-02-21 | 2017-02-21 | Rice management system based on internet of things |
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| Publication Number | Publication Date |
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| CN106708142A true CN106708142A (en) | 2017-05-24 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710093872.0A Pending CN106708142A (en) | 2017-02-21 | 2017-02-21 | Rice management system based on internet of things |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107462682A (en) * | 2017-07-17 | 2017-12-12 | 王建芳 | A kind of agriculture test system |
| CN109673480A (en) * | 2019-02-22 | 2019-04-26 | 福州阿里他巴信息科技有限公司 | Intelligent water and fertilizer integrated sprinkling irrigation system and control method |
| CN109769533A (en) * | 2019-03-12 | 2019-05-21 | 福州阿里他巴信息科技有限公司 | A kind of liquid manure gas integral spray irrigation system |
| CN110794094A (en) * | 2019-11-28 | 2020-02-14 | 井冈山大学 | Early warning device and method for high-temperature heat damage of rice |
| CN112219527A (en) * | 2020-10-30 | 2021-01-15 | 华北水利水电大学 | Tobacco field water-saving irrigation platform |
| CN113196929A (en) * | 2021-05-07 | 2021-08-03 | 新疆农业科学院农业机械化研究所 | Water and fertilizer integrated intelligent control system and control method thereof |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102072885A (en) * | 2010-12-06 | 2011-05-25 | 浙江大学 | Machine vision-based paddy neck blast infection degree grading method |
| CN102084794A (en) * | 2010-10-22 | 2011-06-08 | 华南农业大学 | Method and device for early detecting crop pests based on multisensor information fusion |
| CN102541030A (en) * | 2012-02-07 | 2012-07-04 | 蔡诗伟 | System for intelligently monitoring and controlling crop pests and diseases |
| CN102591290A (en) * | 2012-02-27 | 2012-07-18 | 蔡诗伟 | Crop pest intelligent monitoring management system |
| CN104881017A (en) * | 2015-06-11 | 2015-09-02 | 张迪 | Beidou-based crop growth monitoring system |
| CN105652814A (en) * | 2014-11-13 | 2016-06-08 | 天津市蓟县洪生粮食种植专业合作社 | Intelligent rice pest monitoring system |
| CN205427678U (en) * | 2016-03-31 | 2016-08-03 | 齐齐哈尔大学 | Online monitored control system of rice seedlings raising big -arch shelter intelligence |
| CN105954283A (en) * | 2016-05-05 | 2016-09-21 | 信阳师范学院 | Internet-based wheat pest disease prevention and control method |
-
2017
- 2017-02-21 CN CN201710093872.0A patent/CN106708142A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102084794A (en) * | 2010-10-22 | 2011-06-08 | 华南农业大学 | Method and device for early detecting crop pests based on multisensor information fusion |
| CN102072885A (en) * | 2010-12-06 | 2011-05-25 | 浙江大学 | Machine vision-based paddy neck blast infection degree grading method |
| CN102541030A (en) * | 2012-02-07 | 2012-07-04 | 蔡诗伟 | System for intelligently monitoring and controlling crop pests and diseases |
| CN102591290A (en) * | 2012-02-27 | 2012-07-18 | 蔡诗伟 | Crop pest intelligent monitoring management system |
| CN105652814A (en) * | 2014-11-13 | 2016-06-08 | 天津市蓟县洪生粮食种植专业合作社 | Intelligent rice pest monitoring system |
| CN104881017A (en) * | 2015-06-11 | 2015-09-02 | 张迪 | Beidou-based crop growth monitoring system |
| CN205427678U (en) * | 2016-03-31 | 2016-08-03 | 齐齐哈尔大学 | Online monitored control system of rice seedlings raising big -arch shelter intelligence |
| CN105954283A (en) * | 2016-05-05 | 2016-09-21 | 信阳师范学院 | Internet-based wheat pest disease prevention and control method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107462682A (en) * | 2017-07-17 | 2017-12-12 | 王建芳 | A kind of agriculture test system |
| CN109673480A (en) * | 2019-02-22 | 2019-04-26 | 福州阿里他巴信息科技有限公司 | Intelligent water and fertilizer integrated sprinkling irrigation system and control method |
| CN109769533A (en) * | 2019-03-12 | 2019-05-21 | 福州阿里他巴信息科技有限公司 | A kind of liquid manure gas integral spray irrigation system |
| CN110794094A (en) * | 2019-11-28 | 2020-02-14 | 井冈山大学 | Early warning device and method for high-temperature heat damage of rice |
| CN112219527A (en) * | 2020-10-30 | 2021-01-15 | 华北水利水电大学 | Tobacco field water-saving irrigation platform |
| CN113196929A (en) * | 2021-05-07 | 2021-08-03 | 新疆农业科学院农业机械化研究所 | Water and fertilizer integrated intelligent control system and control method thereof |
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Application publication date: 20170524 |