CN103092142A - Farmland fertility data collect and analysis system based on data mining - Google Patents
Farmland fertility data collect and analysis system based on data mining Download PDFInfo
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Abstract
The invention discloses a farmland fertility data collect and analysis system based on data mining and relates to the technical field of farmland accurate variable rate fertilization operation. The farmland fertility data collect and analysis system based on the data mining comprises a sensor data collect module, a global positioning system (GPS) positioning module, a data blind source separation module, a multi-data integration fusion module, a data mining module, a database module, a sensor supervisory module and an upper and lower computer communicating module. Due to the fact that the data mining module and the upper and lower computer communicating module are added to a sensor data collect and analysis system, the farmland fertility data collect and analysis system can effectively analyze analytical data of various sensors. By means of the data mining module, the farmland fertility data collect and analysis system analyzes real-time data collected by the various sensors, obtains certain regularity, generates content asocciation rules of soil matters such as moisture, carbon, phosphorus, potassium and heavy metal about different land parcels, and transmits the association rules to the upper and lower computer communicating module, the upper and lower computer communicating module sends a control order to a central control system, and therefore different accurate operation models can be carried out to the land parcels of different space and different time. Therefore, a purpose of accurate fertilization and irrigation can be achieved.
Description
Technical field
The present invention relates to accurate variable fertilization operation technique field, farmland, specifically the farmland fertility data acquisition and analysis system of based on data excavation.
Background technology
precision agriculture (Precision Agriculture) be by infotech etc. support according to spatial variability, the location, regularly, the system of a whole set of modernization farming operative technique of quantitatively implementing and management, its basic connotation is proterties and the yield-power spatial variability such as soil moisture fertility according to plant growth, the means of agricultural production of effectively regulating crops drops into, determine the productive target of crops, implement " data acquisition, formulation optimization, technology is integrated, scientific management ", maximum transfer soil productivity, reaching the highest economic benefit and environment with minimum input benefits, improve simultaneously environment, utilize efficiently all kinds of agricultural resources.
Precision agriculture is take real-time data acquisition as the basis, has merged the technological means such as GIS, GPS, RS, information, biology, reaches the purpose of carrying out the fertilising of automatic variable water spray for different plot.It mainly comprises five functional: information acquisition, communication, data mining, decision support, control system, thus improved crop yield, saved resource, contained soil erosion, realized that finally yield-power balancedly organically develops with ecological.
Be difficult to obtain intuitively the essential potential knowledge of data due to us, caused the phenomenon of " data explosion but knowledge is poor ".Therefore, we intend utilizing data mining technology to obtain effective, novel, potentially useful, as finally can to understand pattern non-trivial procedural information from mass data, utilize decision system to carry out corresponding production decision for different farming.
Although at present the precision agriculture system of the developed country such as American-European can realize very intelligentized operation, reach the purpose of setting, but the usage data digging technology can be excavated the effective knowledge of potential novelty in agricultural data, thereby make system more intelligent, have stronger robustness, this is innovation of the present invention place just.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of soil data such as Farmland Water fertility of obtaining, excavate the effective pattern information of potential novelty, thereby reach the farmland fertility data acquisition and analysis system of the based on data excavation of water spray fertilising accurately automatically.
Technical matters to be solved by this invention realizes by the following technical solutions,
the farmland fertility data acquisition and analysis system that based on data excavates, it is characterized in that: comprise central control system, sensor data acquisition module with the central control system control linkage, the GPS locating module, the blind source of data separation module, most according to the integrated fusion module, data-mining module, database module, the Sensor monitoring module, the upper and lower computer communication module, described sensor data acquisition module and the wireless connections of Sensor monitoring module, described sensor data acquisition module is connected with data blind sources separation module, the blind source of data separation module is connected according to the integrated fusion module with most, majority is connected with data-mining module according to the integrated fusion module, data-mining module and database module, database module and upper and lower computer communication module.
Described sensor data acquisition module is responsible for gathering the fertility data such as the moisture, carbon, nitrogen, phosphorus, potassium of soil in field; Described sensor data acquisition module has near infrared sensor, Laser-induced Breakdown Spectroscopy technical sensor, ionic conductivity sensor, flow sensor, and these sensors can detect several data simultaneously;
Described GPS locating module is responsible for locating different fields, processes with the data in link later stage, implements location automatic variable water spray fertilising, and provides corresponding service for the path planning in plot;
The blind source of described data separation module is responsible for separating and is obtained useful signal, strengthens echo signal and weakens or eliminate noise signal, accurately obtains field information to reach.
Described data integration Fusion Module is responsible for the data that multiclass sensor obtains are carried out integrated and merged, and compares fusion with GIS, RS sensor information, and the uniformity signal that integrated different sensors obtains improves the precision that sensing data obtains;
Described data-mining module embeds several data mining algorithms for data such as soil moisture fertility, be responsible for excavating the correlation rule in moisture soil fertility data, excavate targetedly potential in the soil data, novel, effective relationship information, can be used to instruct and carry out the automatic variable fertilising of precisely spraying water;
Described Sensor monitoring module is responsible for the working condition of monitoring sensor, gives different weights to different plot, processes and excacation so that well carry out data;
Described database module is responsible for storing the relevant various data of total system, this module divides an internal memory in central processing system or an external internal memory is stored relevant data, such as history run operating mode, the data that collect, data are processed and excavated to get the data such as information and rule;
Described upper and lower computer communication module is responsible for the communication of sensor and central processing system, is used for realizing that data retransmission between each module and local data are to the long-range functions such as wireless transmission of carrying out.
Beneficial effect of the present invention:
1. the intellectuality of system
Design of the present invention is to divide by functional module, can finally realize the operation of full automatic system, comprise automatic data acquisition, data transmission, can guarantee and decision support for the automatic water jetting fertilising provides data, also can provide the manual intervention that some interface is used for the user to set simultaneously;
2. the application of data mining technology
The achievement of many up-to-date maturations of data analysis and data mining has been merged in the present invention, can excavate the effective information of potential novelty in field soil data that is directed to, and has realized the function of many complexity, thereby has reached the purpose of full-automatic intelligent precision;
3. the extensibility of system
The present invention intends developing the functional modules such as data collection and analysis of versatility, and the embedded central control system of ARM can be added at any time or be shielded corresponding functional module, satisfies the needs of oneself thereby the user also can set different parameters, and extensibility is very strong.
Description of drawings
Fig. 1 is module structure schematic diagram of the present invention;
Fig. 2 is System Operation schematic flow sheet of the present invention;
Fig. 3 is data-mining module process flow diagram of the present invention;
Fig. 4 is data of the present invention blind sources separation module process flow diagram;
Fig. 5 is that majority of the present invention is according to integrated fusion module process flow diagram.
Embodiment
For technological means, creation characteristic that the present invention is realized, reach purpose and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.
as Fig. 1, shown in Figure 2, the farmland fertility data acquisition and analysis system that based on data excavates, comprise central control system, sensor data acquisition module with the central control system control linkage, the GPS locating module, the blind source of data separation module, most according to the integrated fusion module, data-mining module, database module, the Sensor monitoring module, the upper and lower computer communication module, sensor data acquisition module and the wireless connections of Sensor monitoring module, the sensor data acquisition module is connected with data blind sources separation module, the blind source of data separation module is connected according to the integrated fusion module with most, majority is connected with data-mining module according to the integrated fusion module, data-mining module and database module, database module and upper and lower computer communication module.
The sensor data acquisition module has the function of timing acquiring field soil fertility data, but the signal of collection can convert digital signal or the simulating signal of computing machine identifying processing automatically to.The timing of data acquisition can be set in real time, and also off-line is set in advance.
The GPS locating module has the function of different fields position, location, and we can obtain the position in different plot to utilize GPS, and GPS information is stored in internal memory or SD storage card.
The blind source of data separation module has and separates the source signal of making an uproar, the function of calibration echo signal.Utilize principal component analysis (PCA), independent component analysis, core sparse component analysis scheduling algorithm noise signal is separated with echo signal and do other relevant treatment work, echo signal is stored in internal memory simultaneously.
The data integration Fusion Module has integrated and merges the echo signal of multiclass sensor and compare the function of fusion with information such as the GIS that obtains in advance, RS.The uniformity signal of utilizing Majority Voting scheduling algorithm to come integrated different sensors to obtain, in general Integrated Algorithm can improve the precision that target information is obtained.
Data-mining module has the function of excavating the effective correlation rule of potential novelty in the soil moisture fertility data of different plot.These correlation rules can be used for instructing and carry out the automatic variable fertilising of precisely spraying water, optimized variable Fertilization Decision.We utilize the data mining algorithms such as core decision tree, correlation rule transfer learning to excavate the correlation rule of soil fertility data, and these correlation rules realize that through central control system the water spray fertilising waits automatic control function and operation.
The Sensor monitoring module has the function of monitoring sensor.Because different sensors can fluctuate to some extent in the different plot resulting data of image data, we can give different weights to different plot according to demarcating.In addition, the working condition that this module also can monitoring sensor, and real-time send alerting signal etc. to central control system.Sensor information can write in the LOG daily record so that the processing in later stage.
Database module has the function of data storage.This module can be rejected garbage, storage relevant information, to save storage space, reduces costs.When memory space inadequate, can pass through the radio frequency transmission mode the transmission of datas such as GPRS, 3G wireless transmission or Zigbee and deletion.
The upper and lower computer communication module has the communication between processes sensor, central processing system and other utility appliance.Be used for realizing that data retransmission between each module and local data are to the long-range functions such as wireless data transmission of carrying out.
Can be arranged on sensing system on large tractor during work, when tractor during in Tanaka's operation, the data such as the moisture of each field of collection that sensing system is real-time, fertility.In order to save memory headroom, these huge data will enter data blind sources separation module and carry out the identification of data source, obtain the signal source that needs.Through regular data blind source separation module and most signal sources of working simultaneously to obtain high-precision soil moisture, fertility according to the integrated fusion module.These field data after treatment generally be stored in a database of central control system, and the GPS locating information of field also are stored in corresponding database.After the data that obtain a large amount of plot, data-mining module is started working, read the various information of field, analyze the correlation rule of effective novelty potential in these data, utilize these rules to be optimized design to later control system, determining execution amplitude of in which field carrying out which kind of action and action etc., thus the operation of the farming such as the fertilising of different fields being sprayed water in more reasonable intensive mode.The Sensor monitoring module can be used to the working condition of monitoring data collection, and the upper and lower computer communication module is used for carrying out communication between sensing system and central control system etc.
As shown in Figure 3, at first with the data storing of different fields in database, the needs of these data based tasks will carry out the normalization, data pre-service of data with filtering redundancy wherein and irrelevant data, may also need to use data integration and the technological means such as conversion, Data Dimensionality Reduction.Subsequently a large amount of data are divided into training set and test set by technology such as Cross-Validation, the correlation rule to obtain to learn from training set Mining Frequent Patterns or test set is completed the process of study and data mining with this.
As shown in Figure 4, the real time datas such as the Soil Water that obtains from sensor, fertility, carry out the data pre-service such as data normalization, centralization, albefaction according to the task needs, then utilize the Related Component analytical algorithms such as core independent composition analysis algorithm, sparse component analysis to realize recovering source signal from the mixed signal of observation by optimization objective function.
As shown in Figure 5, utilize the technology such as Adaboost that the data set of each field is divided, obtain different subdata collection.The region between the heart and the diaphragm source of carrying out data for each subdata collection is separated and is recovered source signal, for numerous source signals, utilizes the technology such as Majority Voting to integrate the information such as moisture, fertility of each field soil.
Above demonstration and described ultimate principle of the present invention and principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that describes in above-described embodiment and instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (9)
1. the farmland fertility data acquisition and analysis system that excavates of based on data, it is characterized in that: comprise central control system, sensor data acquisition module with the central control system control linkage, the GPS locating module, the blind source of data separation module, most according to the integrated fusion module, data-mining module, database module, the Sensor monitoring module, the upper and lower computer communication module, described sensor data acquisition module and the wireless connections of Sensor monitoring module, described sensor data acquisition module is connected with data blind sources separation module, the blind source of data separation module is connected according to the integrated fusion module with most, majority is connected with data-mining module according to the integrated fusion module, data-mining module and database module, database module and upper and lower computer communication module.
2. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described sensor data acquisition module is responsible for gathering moisture, carbon, nitrogen, phosphorus, the potash fertilizer force data of soil in field; Described sensor data acquisition module has near infrared sensor, Laser-induced Breakdown Spectroscopy technical sensor, ionic conductivity sensor, flow sensor.
3. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described GPS locating module is responsible for locating different fields, data with the link later stage are processed, implement location automatic variable water spray fertilising, and provide corresponding service for the path planning in plot.
4. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described data blind sources separation module is responsible for separating and is obtained useful signal, strengthen echo signal and weaken or eliminate noise signal, accurately obtaining field information to reach.
5. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described data integration Fusion Module is responsible for the data that multiclass sensor obtains are carried out integrated and merged.
6. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described data-mining module is responsible for excavating the correlation rule in moisture soil fertility data.
7. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described Sensor monitoring module is responsible for the working condition of monitoring sensor, give different weights to different plot, process and excacation so that well carry out data.
8. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described database module is responsible for storing the relevant various data of total system.
9. the farmland fertility data acquisition and analysis system that excavates of based on data according to claim 1, it is characterized in that: described upper and lower computer communication module is responsible for the communication of sensor and central processing system, is used for realizing that data retransmission between each module and local data are to the long-range wireless transmission function of carrying out.
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| CN104484412A (en) * | 2014-12-16 | 2015-04-01 | 芜湖乐锐思信息咨询有限公司 | Big data analysis system based on multiform processing |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103529783A (en) * | 2013-10-13 | 2014-01-22 | 林兴志 | Sugarcane planting monitoring device based on big dipper/GIS (geographic information system) |
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| CN104484412A (en) * | 2014-12-16 | 2015-04-01 | 芜湖乐锐思信息咨询有限公司 | Big data analysis system based on multiform processing |
| CN106444534A (en) * | 2016-11-17 | 2017-02-22 | 江苏智石科技有限公司 | Control method of cultivated soil monitoring system |
| CN107646282A (en) * | 2017-09-20 | 2018-02-02 | 安徽农业大学 | A kind of portable liquid manure integrated apparatus |
| CN108966169A (en) * | 2018-07-02 | 2018-12-07 | 梧州市兴能农业科技有限公司 | For the Analysis on heavy metal pollution early warning system of agricultural land soil |
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