CN207780523U - A kind of system carrying out sugar degree prediction using sensor network - Google Patents
A kind of system carrying out sugar degree prediction using sensor network Download PDFInfo
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- CN207780523U CN207780523U CN201721061394.7U CN201721061394U CN207780523U CN 207780523 U CN207780523 U CN 207780523U CN 201721061394 U CN201721061394 U CN 201721061394U CN 207780523 U CN207780523 U CN 207780523U
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Abstract
The utility model discloses a kind of systems carrying out sugar degree prediction using sensor network, the system includes sensor network, monitoring unit, information transmission/reception unit, signal condition unit, and sensor network is configured for collect fruit growing environment information and status information；Signal transmission/reception unit is configured for realizing that the information of sensor network and monitoring unit bridges；Signal condition unit is used for the conditioning of sensor signal, is set between sensor network and monitoring unit；Monitoring unit is configured for according to the data of sensor network monitor with history environment in real time, and the prediction of pol content is carried out according to the current state of sensing data and fruit.The utility model improves the accuracy of sugar degree content prediction, realizes the growing environment automatic adjusument of Production of fruit process, plays the forward direction warning function during fruit growing.
Description
A kind of system carrying out sugar degree prediction using sensor network
Technical field
The utility model is related to monitoring fields, specifically, be related to it is a kind of utilize sensor network carry out sugar degree prediction
System.
Background technology
In traditional agriculture specialist system, the purpose usually realized is the monitoring for environment, or simple right
Cucumber content is predicted, still, is all had a problem that：Have a single function, precision of prediction it is low.
And in fact, professional of agriculture asks very high to the precision of prediction height of yield, it needs to be carried out according to actual yield
Product presell, if the numerical bias of prediction is excessive, it will bring huge economic loss for professional of agriculture and enterprise.
For this purpose, the utility model is in order to overcome the problems referred above, proposition is a kind of to utilize sensor network to carry out sugar degree prediction
System.
Utility model content
Specifically, the utility model proposes a kind of system carrying out sugar degree prediction using sensor network, it is special
Sign is that the system for carrying out sugar degree prediction using sensor network includes sensor network, monitoring unit, information hair
/ receiving unit, signal condition unit is sent,
The sensor network is configured for collect fruit growing environment information and status information；
Described information transmission/reception unit is configured for realizing that the information of sensor network and monitoring unit bridges；
The signal condition unit is used for the conditioning of sensor signal, is set between sensor network and monitoring unit；
Monitoring unit is configured for according to the data of sensor network monitor with history environment in real time, Yi Jigen
The prediction of pol content is carried out according to the current state of sensing data and fruit.
Preferably, the sensor network is made of several sensors, and each sensor has wireless transmission function.
Preferably, the sensor network is made of several sensors, is specifically included：Atmosphere temp.and RH sensor, soil
Temperature Humidity Sensor, soil tension sensor, soil EC values sensor, illuminance monitoring sensor, CO2 concentration sensor, O2
Concentration sensor, P in soil H values sensor, water quality pH value sensor, soil salinity sensor, system is according to the sensor
Detection numerical value predicts pol content.
Preferably, the sensor in the sensor network further includes：Dissolved oxygen in water quantity sensor, conductivity sensor,
Pol content is predicted described in detection numerical value of the system according to the sensor.
Preferably, the sensor network further includes pest and disease damage sensor, the pest and disease damage sensor include camera and
Image processing apparatus.
Preferably, described image processing unit obtains the image of camera acquisition, image processing apparatus by image binaryzation,
Judge pest and disease damage area according to gray scale, according to the size of pest and disease damage area and image area, determines pest and disease damage degree, then will be sick
Damage level is as the input quantity for influencing pol content.
Preferably, the sensor further includes weather sensor, for capturing following weather conditions.
Preferably, the monitoring unit includes forward prediction unit, and forward prediction unit can be vaporous according to following day
Condition carries out forward prediction in conjunction with the current state of fruit, is reduced if pol/sugar content of forward prediction unit prediction is presented
Trend and reduce quantity be more than predetermined threshold value when, carry out early warning.
Preferably, the monitoring unit includes control unit, and control unit is configured for optimizing control, specific side
Method is as follows：
1）The target pol value of given growth；
2）Current sugar is predicted in real time, when default sugar is less than setting value a certain range, executes step 3）；Otherwise it ties
Beam；
3）Practical sugar is equal to default sugar as target, by the mathematical model of all the sensors parameter and pol, is passed
The practical value range of sensor is constraint, carries out environmental information and status information optimizing, obtains ideal sensing data；
4）Control unit is adjusted to ideal environmental parameter level by execution unit, by corresponding data.
Preferably, the executing agency includes conveyance conduit, rainer, CO2 generators, fertilizer applicator, light compensating lamp, temperature
One or more of regulating device.
A kind of system carrying out sugar degree prediction using sensor network involved by the utility model, advantage
It is：The accuracy for improving sugar degree content prediction realizes the growing environment automatic adjusument of Production of fruit process, rises
The forward direction warning function during fruit growing is arrived.
Description of the drawings
Fig. 1 is the structure chart of the utility model.
Specific implementation mode
For a clearer understanding of the technical features, objectives and effects of the utility model, existing control description of the drawings
Specific embodiment of the present utility model.
The utility model proposes a kind of systems carrying out sugar degree prediction using sensor network, which is characterized in that
The system for carrying out sugar degree prediction using sensor network includes sensor network, monitoring unit, information transmission/reception
Unit, signal condition unit,
The sensor network is configured for collect fruit growing environment information and status information；
Described information transmission/reception unit is configured for realizing that the information of sensor network and monitoring unit bridges；
The signal condition unit is used for the conditioning of sensor signal, is set between sensor network and monitoring unit；
Monitoring unit is configured for according to the data of sensor network monitor with history environment in real time, Yi Jigen
The prediction of pol content is carried out according to the current state of sensing data and fruit.
Preferably, the sensor network is made of several sensors, and each sensor has wireless transmission function.
Preferably, the sensor network is made of several sensors, is specifically included：Atmosphere temp.and RH sensor, soil
Temperature Humidity Sensor, soil tension sensor, soil EC values sensor, illuminance monitoring sensor, CO2 concentration sensor, O2
Concentration sensor, P in soil H values sensor, water quality pH value sensor, soil salinity sensor, system is according to the sensor
Detection numerical value predicts pol content.
Preferably, the sensor in the sensor network further includes：Dissolved oxygen in water quantity sensor, conductivity sensor,
Pol content is predicted described in detection numerical value of the system according to the sensor.
Preferably, the sensor network further includes pest and disease damage sensor, the pest and disease damage sensor include camera and
Image processing apparatus.
Preferably, described image processing unit obtains the image of camera acquisition, image processing apparatus by image binaryzation,
Judge pest and disease damage area according to gray scale, according to the size of pest and disease damage area and image area, determines pest and disease damage degree, then will be sick
Damage level is as the input quantity for influencing pol content.
Preferably, the sensor further includes weather sensor, for capturing following weather conditions.
Preferably, the monitoring unit includes forward prediction unit, and forward prediction unit can be vaporous according to following day
Condition carries out forward prediction in conjunction with the current state of fruit, if the pol content presentation reduction trend of forward prediction unit prediction,
And when reducing quantity more than predetermined threshold value, early warning is carried out.
Preferably, the monitoring unit includes control unit, and control unit is configured for optimizing control, specific side
Method is as follows：
1）The target pol value of given growth；
2）Current sugar is predicted in real time, when default sugar is less than setting value a certain range, executes step 3）；Otherwise it ties
Beam；
3）Practical sugar is equal to default sugar as target, by the mathematical model of all the sensors parameter and pol, is passed
The practical value range of sensor is constraint, carries out environmental information and status information optimizing, obtains ideal sensing data；
4）Control unit is adjusted to ideal environmental parameter level by execution unit, by corresponding data.
Preferably, the executing agency includes conveyance conduit, rainer, CO2 generators, fertilizer applicator, light compensating lamp, temperature
One or more of regulating device.
It should be noted that for each embodiment of the method above-mentioned, for simple description, therefore it is all expressed as to a system
The combination of actions of row, but those skilled in the art should understand that, the application is not limited by the described action sequence, because
For according to the application, certain some step can be performed in other orders or 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
It please be necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, 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 realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, ROM, RAM etc..
Above disclosures are merely preferred embodiments of the utility model, with this utility model cannot be limited certainly
Interest field, therefore equivalent variations made according to the claim of the utility model still fall within the scope of the utility model.
Claims (3)
1. a kind of system carrying out sugar degree prediction using sensor network, which is characterized in that described to utilize sensor network
The system for carrying out sugar degree prediction includes sensor network, monitoring unit, information transmission/reception unit, signal condition unit,
The sensor network is configured for collect fruit growing environment information and status information；
Described information transmission/reception unit is configured for realizing that the information of sensor network and monitoring unit bridges；
The signal condition unit is used for the conditioning of sensor signal, is set between sensor network and monitoring unit；
Monitoring unit is configured for according to the data of sensor network monitor with history environment in real time, and according to biography
Sensor data and the current state of fruit carry out the prediction of pol content；
The sensor network is made of several sensors, and each sensor has wireless transmission function；
The sensor network is made of several sensors, is specifically included：Atmosphere temp.and RH sensor, soil temperature and humidity sensing
Device, soil tension sensor, soil EC values sensor, illuminance monitoring sensor, CO2 concentration sensor, O2 concentration sensors,
P in soil H values sensor, water quality pH value sensor, soil salinity sensor, system is according to the detection numerical value of the sensor to sugar
Degree content is predicted.
2. a kind of system as described in claim 1 carrying out sugar degree prediction using sensor network, which is characterized in that institute
The sensor stated in sensor network further includes：Dissolved oxygen in water quantity sensor, conductivity sensor, pest and disease damage sensor, it is described
Pest and disease damage sensor includes camera and image processing apparatus.
3. a kind of system as described in claim 1 carrying out sugar degree prediction using sensor network, which is characterized in that institute
It further includes weather sensor to state sensor, for capturing following weather conditions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721061394.7U CN207780523U (en) | 2017-08-23 | 2017-08-23 | A kind of system carrying out sugar degree prediction using sensor network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721061394.7U CN207780523U (en) | 2017-08-23 | 2017-08-23 | A kind of system carrying out sugar degree prediction using sensor network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207780523U true CN207780523U (en) | 2018-08-28 |
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|---|---|---|---|
| CN201721061394.7U Active CN207780523U (en) | 2017-08-23 | 2017-08-23 | A kind of system carrying out sugar degree prediction using sensor network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207780523U (en) |
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2017
- 2017-08-23 CN CN201721061394.7U patent/CN207780523U/en active Active
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