CN109978616A - Agricultural product data monitoring early warning system - Google Patents
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Abstract
The embodiment of the invention discloses a kind of agricultural product data monitoring early warning system, which uses B/S layer architecture, comprising: data Layer, data access layer and application layer；Wherein, the data Layer is stored with agricultural product related data；The data access layer realizes the processing operation to agricultural product related data；The application layer realizes the monitoring and warning to agricultural product related data, the embodiment of the present invention realizes the automated analysis of agricultural product related data, improve analysis efficiency, the monitoring and warning of agricultural product data is realized, ensures the macro adjustments and controls to agricultural product, in time stable market for farm products, agricultural product data are effectively inhibited to fluctuate widely the taking place frequently of phenomenon, guiding agricultural production operator carries out production and sales decision, reduces business risk, improves income from sales.
Description
Technical field
The present embodiments relate to Agricultural informatics more particularly to a kind of agricultural product data monitoring early warning systems.
Background technique
Fast-developing instantly in market economy, the competition that production, circulation, the operation of agricultural product are faced increasingly increases,
Most important, the especially accurate analysis of the price data of agricultural product is effectively monitored to agricultural product big data, is agricultural product
Price detection and early warning and macro adjustments and controls key reference is provided, stablize market for farm products.
Currently, being the mode by manual analysis to the analysis of agricultural product price data, the quality of data is poor, analysis efficiency
Low, precision of analysis is poor, can not provide accurate price alert, and agricultural product price is caused to fluctuate widely phenomenon frequently
Hair.
Summary of the invention
The embodiment of the present invention provides a kind of agricultural product data monitoring early warning system, solves at present to agricultural product price data
Analysis is the mode by manual analysis, and the quality of data is poor, and analysis efficiency is low, and precision of analysis is poor, can not provide standard
True price alert causes agricultural product price to fluctuate widely phenomenon the problem of taking place frequently.
In a first aspect, the system is using B/S points the embodiment of the invention provides a kind of agricultural product data monitoring early warning system
Layer architecture, comprising: data Layer, data access layer and application layer；Wherein, the data Layer is stored with agricultural product related data；Institute
Data access layer realization is stated to the processing operation of agricultural product related data；The application layer realizes the prison to agricultural product related data
Survey early warning.
Further, system further include: acquisition terminal, the acquisition terminal are located at application layer, for acquiring agriculture in real time
Product-related data.
Wherein, the agricultural product related data includes: user information, acquisition person's information, area information, market information, agriculture
Product classification and price data.
Wherein, the data Layer stores agricultural product related data using MySQL database.
Further, the data access layer realizes the processing operation to agricultural product related data, comprising: the data are visited
Ask that layer realizes the reading data to agricultural product related data, data parsing, the operation of data query and data write-in.
Further, the application layer realizes the monitoring and warning to agricultural product related data, comprising: data Real time visible
Change, data are analyzed in real time, the export of data query and data.
Further, the data of agricultural product related data are analyzed in the application layer realization in real time, comprising: according to agricultural product
Price data in related data, determines whether the price data triggers real-time early warning；Reality is not triggered in the price data
When early warning when, according to the price data carry out price data prediction.
Further, the application layer carries out price data prediction according to the price data, comprising:
Trend prediction is carried out to price data by ARIMA model；And/or
Cyclic forecast is carried out to price data by Fourier decomposition model；And/or
By frequency of the statistics price data within the scope of each amount of increase and amount of decrease, risk Frequence Analysis is carried out.
Further, the frequency by statistics price data within the scope of each amount of increase and amount of decrease, carries out risk frequency point
Analysis, comprising:
According to the amount of increase and amount of decrease distribution function of fitting, the frequency within the scope of each amount of increase and amount of decrease is calculated；
By the frequency within the scope of each amount of increase and amount of decrease, is compared with default frequency threshold value, obtain risk Frequence Analysis
As a result.
Wherein, the amount of increase and amount of decrease distribution function of the fitting are as follows:
Wherein,h
For window width, n is all total sample numbers of fitting, XiFor each sample data, K (x) is kernel function,
Agricultural product data monitoring early warning system provided in an embodiment of the present invention uses B/S layer architecture, comprising: data Layer,
Data access layer and application layer；Wherein, data Layer is stored with agricultural product related data；Data access layer is realized to agricultural product correlation
The processing operation of data；The application layer is realized to the monitoring and warning of agricultural product related data, and agricultural product related data is realized
Automated analysis, improve analysis efficiency, realize the monitoring and warning of agricultural product data, ensure the macro adjustments and controls to agricultural product,
Stablize market for farm products in time, effectively inhibits agricultural product data to fluctuate widely the taking place frequently of phenomenon, guiding agricultural production operator
Production and sales decision is carried out, business risk is reduced, improves income from sales.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing does one and simply introduces, it should be apparent that, drawings in the following description are some embodiments of the invention, for this
For the those of ordinary skill of field, without creative efforts, it can also be obtained according to these attached drawings others
Attached drawing.
Fig. 1 is a kind of structural schematic diagram for agricultural product data monitoring early warning system that the embodiment of the present invention one provides.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, hereinafter with reference to attached in the embodiment of the present invention
Figure, clearly and completely describes technical solution of the present invention by embodiment, it is clear that described embodiment is the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
Embodiment one
Fig. 1 is a kind of structural schematic diagram for agricultural product data monitoring early warning system that the embodiment of the present invention one provides.This reality
The case where applying the technical solution of example can be adapted for agricultural product data monitoring early warning.The device can be using software and/or hard
The mode of part realizes that the operating system of software uses Windows server 2010, and database uses MySQL, has light weight
Grade is held the features such as safeguarding and is small in size, and Web service uses Apache.The system uses B/S layer architecture, comprising: data Layer
11, data access layer 12 and application layer 13；Wherein, the data Layer 11 is stored with agricultural product related data, and data Layer 11 uses
The mode of MySQL stores agricultural product related data；The data access layer 12 realizes the processing operation to agricultural product related data；
The application layer 13 realizes the monitoring and warning to agricultural product related data.
Further, system further include: acquisition terminal, the acquisition terminal are located at application layer, for acquiring agriculture in real time
Product-related data.Acquisition terminal for example can be the intelligent terminal that mobile phone, tablet computer, Intelligent bracelet etc. have APP.
Wherein, the agricultural product related data includes: user information, acquisition person's information, area information, market information, agriculture
Product classification and price data.The agricultural product price number that agricultural product related data is reported in addition to dependence market price information acquisition person
According to also integrating other channels or obtain more price data resources using other technological means, comprising: large-scale commodities trading is flat
Platform, agricultural product electric business or web crawlers.
Wherein, the data access layer realizes the processing operation to agricultural product related data, comprising: the data access layer
Realize the reading data to agricultural product related data, data parsing, the operation of data query and data write-in.It supports to press ProductName
The single dimensions such as title, acquisition time, collecting region/market, acquisition person or various dimensions joint constraint inquiry, query result is with table
Mode show, and auto-sequencing function is supported, additionally, it is provided fuzzy search function.According to the result form of the generation of inquiry
Excel or Txt file export function is provided.Data parsing, which can be, unites to price trend, year-on-year, the ring ratio etc. under identical product
The price trend that can be provided the statistical analysis and auto-sequencing function of amount of increase and amount of decrease under areal, same is supported in meter analysis
Than the statistical analysis such as, ring ratio, support that the statistical analysis and auto-sequencing function of amount of increase and amount of decrease can also be provided to multifactor control
Under price trend, on year-on-year basis, the statistical analysis such as ring ratio, support the statistical analysis and auto-sequencing function to amount of increase and amount of decrease.
Wherein, the application layer realizes the monitoring and warning to agricultural product related data, comprising: data real-time visual, number
Analysis, data query and data export when factually.Specifically, the application layer is realized real-time to the data of agricultural product related data
Analysis, comprising: according to the price data in agricultural product related data, determine whether the price data triggers real-time early warning；?
When the price data does not trigger real-time early warning, price data prediction is carried out according to the price data.
Application layer carries out quality, amount of increase and amount of decrease, the analysis such as risk to original prices data, to abnormal data, abnormal ups and downs and
The biggish crop price of risk carries out real-time early warning, and is graphically intuitively showed.
By taking agricultural product related data is price data as an example, it is agricultural product that whether agricultural product price data, which trigger real-time early warning,
Price data is compared with real-time early warning threshold value or the amount of increase and amount of decrease of agricultural product price data and real-time early warning threshold value carry out pair
Than the real-time early warning threshold value of different agricultural product is different, if the real-time early warning threshold value of the same day amount of increase and amount of decrease of vegetables is that first three is per day
+ the 40% of price or -40%, when the same day amount of increase and amount of decrease of vegetables is more than real-time early warning threshold value, determine that vegetables same day price triggers
Real-time early warning.It is alternatively possible to different grades of alert is divided according to the size of the difference of threshold value of warning, such as greengrocery, when
Day price amount of increase and amount of decrease be more than the red police of+40% or -40% triggering, 40~20% triggerings of first three per day price it is orange, 20~
Yellow alert, -10~10% green police of triggering of 10% triggering, wherein green police is safety alarm, can determine that agricultural product data do not trigger reality
When early warning, agricultural product data are predicted when agricultural product data do not trigger real-time early warning, it is real-time in agricultural product data-triggered
Real-time early warning is carried out when early warning.
When agricultural product price data do not trigger real-time early warning, agricultural product price data can be predicted, can be predicted
The price of the agricultural product of following a period of time, according to the production and operation strategy of prediction result Reasonable Regulation And Control agricultural product.Further,
After carrying out price data prediction according to the price data, further includes: according to the prediction result that price data is predicted, determine
Whether the prediction result triggers the following early warning.Optionally, prediction result and the following threshold value of warning are compared, determines prediction
As a result the following early warning whether is triggered.The setting of the following early warning can predict risk, Reasonable Regulation And Control production and operation strategy, by wind in advance
Danger is preferably minimized.
Specifically, the application layer carries out price data prediction according to the price data, comprising: passes through ARIMA
(Autoregressive Integrated Moving Average model, difference integrate rolling average autoregression model) mould
Type carries out trend prediction to price data；And/or cyclic forecast is carried out to price data by Fourier decomposition model；
And/or the frequency by statistics price data within the scope of each amount of increase and amount of decrease, carry out risk Frequence Analysis.Optionally, ARIMA
Model can carry out short-term forecast to agricultural product price data trend, and Fourier decomposition model can be to agricultural product price data week
Phase property carries out Long-term analysis.
Further, the frequency by statistics price data within the scope of each amount of increase and amount of decrease, carries out risk frequency point
Analysis, comprising: according to the amount of increase and amount of decrease distribution function of fitting, calculate the frequency within the scope of each amount of increase and amount of decrease；By each amount of increase and amount of decrease
Frequency in range is compared with default frequency threshold value, obtains risk Frequence Analysis result.Each amount of increase and amount of decrease range and correspondence
Default frequency threshold value for example may is that 0-1%, 1000 times；1-2%, 1500 times；- 1-0%, 1200 times.
Wherein, the amount of increase and amount of decrease distribution function of the fitting are as follows:
Wherein,h
For window width, n is all total sample numbers of fitting, XiFor each sample data, K (x) is kernel function,
When carrying out the following early warning according to the result of analysis of trend, periodicity analysis or risk Frequence Analysis, as long as three
There is any one result to trigger the following early warning in kind result, then can determine agricultural product price data-triggered future early warning.It is optional
Whether ground, the weighted value that can choose three kinds of results trigger the judgment basis of the following early warning as agricultural product price data.
In another alternative embodiment of the present invention, agricultural product data monitoring early warning system provided in an embodiment of the present invention may be used also
To include GIS (Geographic Information System, GIS-Geographic Information System) and/or the three-dimensional whole world in the two-dimentional whole nation
Generalized information system.The generalized information system in the two-dimentional whole nation can provide the national layout in collecting region and market.Support spatial information stream,
The more intuitive visual displaying market for farm products monitoring data such as thermodynamic chart, bubble diagram, bandwagon effect reach dynamically, immediately, intuitively.
Meanwhile integrated market price comparative analysis function, can the price quickly to different zones Different Crop compare and analyze and can
Depending on changing function.The generalized information system in the three-dimensional whole world is provided according to the commercial data in the whole world with spatial information stream manifestation mode, by not
The data such as different volumes of trade or price are showed with color.
Agricultural product data monitoring early warning system provided in an embodiment of the present invention supports user information to show, believes from assigned personnel
In the original prices data for ceasing table and upload, extracts personal information and send data record, and data cases are counted
With evaluation；It supports the unified management to agricultural product kind, can increase, delete, modifying the crop varieties title of system；It can also prop up
It holds and priority assignation is carried out to user accessible area data.
Agricultural product data monitoring early warning system provided in an embodiment of the present invention uses B/S layer architecture, comprising: data Layer,
Data access layer and application layer；Wherein, data Layer is stored with agricultural product related data；Data access layer is realized to agricultural product correlation
The processing operation of data；The application layer is realized to the monitoring and warning of agricultural product related data, and agricultural product related data is realized
Automated analysis, improve analysis efficiency, realize the monitoring and warning of agricultural product data, ensure the macro adjustments and controls to agricultural product,
Stablize market for farm products in time, effectively inhibits agricultural product data to fluctuate widely the taking place frequently of phenomenon, guiding agricultural production operator
Production and sales decision is carried out, business risk is reduced, improves income from sales.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of agricultural product data monitoring early warning system, which is characterized in that use B/S layer architecture, comprising:
Data Layer, data access layer and application layer；Wherein, the data Layer is stored with agricultural product related data；The data are visited
Ask that layer realizes the processing operation to agricultural product related data；The application layer realizes the monitoring and warning to agricultural product related data.
2. system according to claim 1, which is characterized in that further include: acquisition terminal, the acquisition terminal are located at application
Layer, for acquiring agricultural product related data in real time.
3. system according to claim 1 or 2, which is characterized in that the agricultural product related data includes: user information,
Acquisition person's information, area information, market information, agricultural product classification and price data.
4. system according to claim 1, which is characterized in that the data Layer stores agricultural product using MySQL database
Related data.
5. system according to claim 1, which is characterized in that the data access layer is realized to agricultural product related data
Processing operation, comprising: the data access layer realizes the reading data to agricultural product related data, data parsing, data query
With the operation of data write-in.
6. system according to claim 1, which is characterized in that the application layer realizes the monitoring to agricultural product related data
Early warning, comprising: data real-time visual, data are analyzed in real time, data query and data export.
7. system according to claim 6, which is characterized in that the application layer realizes the data to agricultural product related data
Analysis in real time, comprising: according to the price data in agricultural product related data, it is pre- in real time to determine whether the price data triggers
It is alert；When the price data does not trigger real-time early warning, price data prediction is carried out according to the price data.
8. system according to claim 7, which is characterized in that the application layer carries out price number according to the price data
It was predicted that including:
Trend prediction is carried out to price data by ARIMA model；And/or
Cyclic forecast is carried out to price data by Fourier decomposition model；And/or
By frequency of the statistics price data within the scope of each amount of increase and amount of decrease, risk Frequence Analysis is carried out.
9. system according to claim 8, which is characterized in that described by counting price data in each amount of increase and amount of decrease range
Interior frequency carries out risk Frequence Analysis, comprising:
According to the amount of increase and amount of decrease distribution function of fitting, the frequency within the scope of each amount of increase and amount of decrease is calculated；
It by the frequency within the scope of each amount of increase and amount of decrease, is compared with default frequency threshold value, obtains risk Frequence Analysis result.
10. system according to claim 9, which is characterized in that the amount of increase and amount of decrease distribution function of the fitting are as follows:
Wherein,H is window
Width, n are all total sample numbers of fitting, XiFor each sample data, K (x) is kernel function,
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| CN112446722A (en) * | 2019-08-30 | 2021-03-05 | 南京绿色科技研究院有限公司 | Agricultural product price fluctuation monitoring method and system |
| CN111476605A (en) * | 2020-04-08 | 2020-07-31 | 东北农业大学 | Pork price prediction early warning system |
| CN112235348A (en) * | 2020-09-11 | 2021-01-15 | 内蒙古智诚物联股份有限公司 | Multi-element big data acquisition and transmission platform based on 5G technology |
| CN112269912A (en) * | 2020-11-18 | 2021-01-26 | 布瑞克农业大数据科技集团有限公司 | Agricultural big data price early warning management system and method |
| CN112269912B (en) * | 2020-11-18 | 2021-07-27 | 布瑞克农业大数据科技集团有限公司 | Agricultural big data price early warning management system and method |
| CN113706189A (en) * | 2021-07-26 | 2021-11-26 | 菲欧坦(重庆)数据科技有限公司 | Market monthly average price ranking method for evaluating Amazon competition intensity |
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