CN109493176A - A kind of market of farm produce commodities trading analysis system - Google Patents
A kind of market of farm produce commodities trading analysis system Download PDFInfo
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- CN109493176A CN109493176A CN201811318727.9A CN201811318727A CN109493176A CN 109493176 A CN109493176 A CN 109493176A CN 201811318727 A CN201811318727 A CN 201811318727A CN 109493176 A CN109493176 A CN 109493176A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention discloses a kind of market of farm produce commodities trading analysis systems, including data acquisition module, data analysis module, data feedback unit, controller, big data unit, memory module, display unit, reminding module and recommending module；The data acquisition module is used to obtain the All Activity data of a market of farm produce every predetermined period, and transaction data includes products transactions, transaction value, product cost valence and number of transaction；And by transmission of transaction data to data analysis module；The present invention can acquire the All Activity data on the market of farm produce, and the evaluation information of corresponding transaction data by data acquisition module；The latent value of each agricultural product can be calculated according to data feedback unit combination dependency rule and algorithm later, hot product is obtained using controller combination specified rule later and recommends replacement product, so as to help trade companies accurately to grasp the preference of active user；Trade company can be helped to accomplish accurately to acquire market trends.
Description
Technical field
The invention belongs to commodities trading fields, are related to a kind of analytical technology, specifically a kind of market of farm produce agricultural product
Transaction analysis system.
Background technique
The market of farm produce is the place that the agricultural and sideline product producer and consumer both sides directly carry out business activities.Its effect is:
It exchanges each other's needs between agricultural producer is personal or collective, adjust surplus and deficiency, provide Supply of subsidiary foods for rural resident；Make up state-run quotient
Industry is insufficient, meets " vegetable basket " demand of town dweller；Shorten Time To Market, keeps commodity freshness；The agricultural and sideline product producer is straight
It obtains and takes product information.Market of farm produce sold goods price is to be discussed in national policy decree allowed band by both parties
It is fixed.For certain commodity necessary to people life, country carries out price ceiling.
Currently, it is main place that common people buy agricultural product that the quantity of the market of farm produce, which remains on, when being for differently
There are agricultural product in area different preference and demand；And currently lack it is such a can based on to transaction data analyze, thus
User is obtained to the product of the preference degree of agricultural product；In order to realize above-mentioned design, a solution is now provided.
Summary of the invention
The purpose of the present invention is to provide a kind of market of farm produce commodities trading analysis systems.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of market of farm produce commodities trading analysis system, including data acquisition module, data analysis module, data are anti-
Present unit, controller, big data unit, memory module, display unit, reminding module and recommending module；
Wherein, the data acquisition module is used to obtain the All Activity data of a market of farm produce every predetermined period,
Transaction data includes products transactions, transaction value, product cost valence and number of transaction；And transmission of transaction data to data is analyzed
Module；The data acquisition module is also used to obtain commenting for corresponding products transactions from transaction platform while obtaining transaction data
Valence information, evaluation information include high priced line quantity, low cost products quantity and corresponding return of goods quantity；High priced line quantity is to sell
The price of the product is higher than current average market valence, and low cost products quantity is lower than current average market valence, and return of goods quantity indicates
The return of goods number that the product is finally initiated because being unsatisfied with quality will be bought by subscribing originally for user；
The data acquisition module is used to for transaction data and evaluation information being transferred to data analysis module, the data point
It analyses module to be used to carry out quantification treatment to transaction data and evaluation information, specific processing step is as follows:
Step 1: products transactions, transaction value, product cost valence and the number of transaction in transaction data are got；
Step 2: products transactions are labeled as Ci, i=1...n；Transaction value is labeled as Ji, i=1...n；By product
Cost price is labeled as Bi, i=1...n；Number of transaction is labeled as Si, i=1...n；And Ci and Ji, Bi, Si are an a pair
It answers；And products transactions, transaction value, product cost valence and number of transaction are transferred to data feedback unit；
Step 3: high priced line quantity, low cost products quantity and the corresponding return of goods quantity in evaluation information are got；
Step 4: being Hi, i=1...n by high priced line number tag；Low cost products number tag is Ki, i=1...n；
It is Ti, i=1...n by return of goods number tag；And high priced line quantity, low cost products quantity and corresponding return of goods quantity are transferred to
Data feedback unit；
Step 5: the data received are handled by data feedback unit；First with formula Q1i=(Ji-
Bi) * Si, i=1...n；Wound the value Qi, Qi and Ci that product is calculated are corresponded；
Step 6: positive rating and corresponding difference comments rate are calculated again later, is commented in order to avoid brushing to comment with difference, now introduces correction value
X1 and X2, X1 and X2 are preset value；Utilize formula Q2i=(Hi-X1)/Si, i=1...n；Positive rating Q2i is calculated；
Step 7: formula Q3i=(Ki-X2)/Si, i=1...n is utilized；Difference comments rate Q3i is calculated；
Step 8: latent the value Pi, i=1...n of products transactions Ci are calculated；Because return of goods quantity is to the evaluation comparison of product
Greatly, only user can just apply returning goods in the case where very dissatisfied, therefore influence of the return of goods quantity to latent value Pi needs to add
Enter correction value X3, while in order to avoid the influence of Return of Goods without Reasons；Therefore correction value X4 is added, X3, X4 are preset value；Root again
Latent value Pi is calculated according to formula；
Specific formula for calculation is Pi=(Q1i+Ji*Si) * (Q2i-Q3i)-(Ti-X4) * X3, i=1...n；
The data feedback unit is used to latent value Pi being transferred to controller.
Further, the controller is used to determine corresponding products transactions Ci according to the value Pi that dives, specifically:
Step 1: latent value Pi is ranked up according to descending；
Step 2: the correspondence products transactions that ranking is first A1 are labeled as hot product, A1 is preset value；
Step 3: the correspondence products transactions that ranking is latter A2 are replaced into product labeled as recommendation, A2 is preset value；
The controller, which is used to that big data unit to be combined to carry out processing to hot product, acquires supplementary；Specially
Corresponding hot product type is got from internet according to hot product type, recommends sales volume seniority among brothers and sisters according to product type later
The product of preceding preset value, the product are supplementary；
For replacement product and supplementary will to be recommended to be transferred to recommending module, the recommending module is used for the controller
Product is replaced in the recommendation for reminding user to demarcate supplementary alternative controls.
Further, the controller is also used to for latent value Pi being transferred to display unit and carries out real-time display；The control
Device is also used to stamp latent value Pi timestamp and is transferred to memory progress real-time storage.
Beneficial effects of the present invention: the present invention can acquire all friendships on the market of farm produce by data acquisition module
Easy data, and the evaluation information of corresponding transaction data；It can be counted according to data feedback unit combination dependency rule and algorithm later
Calculation obtains the latent value of each agricultural product, obtains hot product using controller combination specified rule later and recommends replacement product,
So as to help trade companies accurately to grasp the preference of active user；Trade company can be helped to accomplish that accurately acquiring market moves
To；The present invention is simple and effective, and is easy to practical.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of market of farm produce commodities trading analysis system, including the analysis of data acquisition module, data
Module, data feedback unit, controller, big data unit, memory module, display unit, reminding module and recommending module；
Wherein, the data acquisition module is used to obtain the All Activity data of a market of farm produce every predetermined period,
Transaction data includes products transactions, transaction value, product cost valence and number of transaction；And transmission of transaction data to data is analyzed
Module；The data acquisition module is also used to obtain commenting for corresponding products transactions from transaction platform while obtaining transaction data
Valence information, evaluation information include high priced line quantity, low cost products quantity and corresponding return of goods quantity；High priced line quantity is to sell
The price of the product is higher than current average market valence, and low cost products quantity is lower than current average market valence, and return of goods quantity indicates
The return of goods number that the product is finally initiated because being unsatisfied with quality will be bought by subscribing originally for user；
The data acquisition module is used to for transaction data and evaluation information being transferred to data analysis module, the data point
It analyses module to be used to carry out quantification treatment to transaction data and evaluation information, specific processing step is as follows:
Step 1: products transactions, transaction value, product cost valence and the number of transaction in transaction data are got；
Step 2: products transactions are labeled as Ci, i=1...n；Transaction value is labeled as Ji, i=1...n；By product
Cost price is labeled as Bi, i=1...n；Number of transaction is labeled as Si, i=1...n；And Ci and Ji, Bi, Si are an a pair
It answers；And products transactions, transaction value, product cost valence and number of transaction are transferred to data feedback unit；
Step 3: high priced line quantity, low cost products quantity and the corresponding return of goods quantity in evaluation information are got；
Step 4: being Hi, i=1...n by high priced line number tag；Low cost products number tag is Ki, i=1...n；
It is Ti, i=1...n by return of goods number tag；And high priced line quantity, low cost products quantity and corresponding return of goods quantity are transferred to
Data feedback unit；
Step 5: the data received are handled by data feedback unit；First with formula Q1i=(Ji-
Bi) * Si, i=1...n；Wound the value Qi, Qi and Ci that product is calculated are corresponded；
Step 6: positive rating and corresponding difference comments rate are calculated again later, is commented in order to avoid brushing to comment with difference, now introduces correction value
X1 and X2, X1 and X2 are preset value；Utilize formula Q2i=(Hi-X1)/Si, i=1...n；Positive rating Q2i is calculated；
Step 7: formula Q3i=(Ki-X2)/Si, i=1...n is utilized；Difference comments rate Q3i is calculated；
Step 8: latent the value Pi, i=1...n of products transactions Ci are calculated；Because return of goods quantity is to the evaluation comparison of product
Greatly, only user can just apply returning goods in the case where very dissatisfied, therefore influence of the return of goods quantity to latent value Pi needs to add
Enter correction value X3, while in order to avoid the influence of Return of Goods without Reasons；Therefore correction value X4 is added, X3, X4 are preset value；Root again
Latent value Pi is calculated according to formula；
Specific formula for calculation is Pi=(Q1i+Ji*Si) * (Q2i-Q3i)-(Ti-X4) * X3, i=1...n；
The data feedback unit is used to latent value Pi being transferred to controller.
Further, the controller is used to determine corresponding products transactions Ci according to the value Pi that dives, specifically:
Step 1: latent value Pi is ranked up according to descending；
Step 2: the correspondence products transactions that ranking is first A1 are labeled as hot product, A1 is preset value；
Step 3: the correspondence products transactions that ranking is latter A2 are replaced into product labeled as recommendation, A2 is preset value；
The controller, which is used to that big data unit to be combined to carry out processing to hot product, acquires supplementary；Specially
Corresponding hot product type is got from internet according to hot product type, recommends sales volume seniority among brothers and sisters according to product type later
The product of preceding preset value, the product are supplementary；
For replacement product and supplementary will to be recommended to be transferred to recommending module, the recommending module is used for the controller
Product is replaced in the recommendation for reminding user to demarcate supplementary alternative controls.
Further, the controller is also used to for latent value Pi being transferred to display unit and carries out real-time display；The control
Device is also used to stamp latent value Pi timestamp and is transferred to memory progress real-time storage.
A kind of market of farm produce commodities trading analysis system can be obtained by data acquisition module first at work
Obtain the All Activity data onto the market of farm produce, and the evaluation information of corresponding transaction data；Later according to data feedback unit
The latent value of each agricultural product can be calculated in conjunction with dependency rule and algorithm, obtained later using controller combination specified rule
Hot product and recommendation replacement product, so as to help trade companies accurately to grasp the preference of active user；It can help
Trade company accomplishes accurately to acquire market trends；The present invention is simple and effective, and is easy to practical.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (3)
1. a kind of market of farm produce commodities trading analysis system, which is characterized in that analyze mould including data acquisition module, data
Block, data feedback unit, controller, big data unit, memory module, display unit, reminding module and recommending module；
Wherein, the data acquisition module is used to obtain the All Activity data of a market of farm produce, transaction every predetermined period
Data include products transactions, transaction value, product cost valence and number of transaction；And transmission of transaction data to data is analyzed into mould
Block；The data acquisition module is also used to obtain the evaluation of corresponding products transactions from transaction platform while obtaining transaction data
Information, evaluation information include high priced line quantity, low cost products quantity and corresponding return of goods quantity；High priced line quantity is to sell this
The price of product is higher than current average market valence, and low cost products quantity is lower than current average market valence, and return of goods quantity is expressed as
User subscribed originally will buy the return of goods number that the product is finally initiated because being unsatisfied with quality；
The data acquisition module is used to for transaction data and evaluation information being transferred to data analysis module, and the data analyze mould
Block is used to carry out quantification treatment to transaction data and evaluation information, and specific processing step is as follows:
Step 1: products transactions, transaction value, product cost valence and the number of transaction in transaction data are got；
Step 2: products transactions are labeled as Ci, i=1...n；Transaction value is labeled as Ji, i=1...n；By product cost
Price card is denoted as Bi, i=1...n；Number of transaction is labeled as Si, i=1...n；And Ci and Ji, Bi, Si are to correspond；And
Products transactions, transaction value, product cost valence and number of transaction are transferred to data feedback unit；
Step 3: high priced line quantity, low cost products quantity and the corresponding return of goods quantity in evaluation information are got；
Step 4: being Hi, i=1...n by high priced line number tag；Low cost products number tag is Ki, i=1...n；It will move back
Goods number tag is Ti, i=1...n；And high priced line quantity, low cost products quantity and corresponding return of goods quantity are transferred to data
Feedback unit；
Step 5: the data received are handled by data feedback unit；First with formula Q1i=(Ji-Bi) *
Si, i=1...n；Wound the value Qi, Qi and Ci that product is calculated are corresponded；
Step 6: calculating positive rating and corresponding difference comments rate again later, comment in order to avoid brushing to comment with difference, now introduce correction value X1 and
X2, X1 and X2 are preset value；Utilize formula Q2i=(Hi-X1)/Si, i=1...n；Positive rating Q2i is calculated；
Step 7: formula Q3i=(Ki-X2)/Si, i=1...n is utilized；Difference comments rate Q3i is calculated；
Step 8: latent the value Pi, i=1...n of products transactions Ci are calculated；Because return of goods quantity is big to the evaluation comparison of product, only
There is user that can just apply returning goods in the case where very dissatisfied, therefore influence of the return of goods quantity to latent value Pi needs that amendment is added
Value X3, while in order to avoid the influence of Return of Goods without Reasons；Therefore correction value X4 is added, X3, X4 are preset value；Further according to formula
Calculate latent value Pi；
Specific formula for calculation is Pi=(Q1i+Ji*Si) * (Q2i-Q3i)-(Ti-X4) * X3, i=1...n；
The data feedback unit is used to latent value Pi being transferred to controller.
2. a kind of market of farm produce commodities trading analysis system according to claim 1, which is characterized in that the control
Device is used for the latent value Pi of basis and determines corresponding products transactions Ci, specifically:
Step 1: latent value Pi is ranked up according to descending；
Step 2: the correspondence products transactions that ranking is first A1 are labeled as hot product, A1 is preset value；
Step 3: the correspondence products transactions that ranking is latter A2 are replaced into product labeled as recommendation, A2 is preset value；
The controller, which is used to that big data unit to be combined to carry out processing to hot product, acquires supplementary；Specially basis
Hot product type gets corresponding hot product type from internet, recommends sales volume seniority among brothers and sisters preceding pre- according to product type later
If the product of value, which is supplementary；
The controller will be for that will recommend replacement product and supplementary to be transferred to recommending module, and the recommending module is for reminding
Product is replaced in the recommendation that user demarcates supplementary alternative controls.
3. a kind of market of farm produce commodities trading analysis system according to claim 1, which is characterized in that the control
Device is also used to for latent value Pi being transferred to display unit and carries out real-time display；The controller is also used to latent value Pi stamping timestamp
It is transferred to memory and carries out real-time storage.
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| CN201811318727.9A CN109493176A (en) | 2018-11-07 | 2018-11-07 | A kind of market of farm produce commodities trading analysis system |
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| CN201811318727.9A CN109493176A (en) | 2018-11-07 | 2018-11-07 | A kind of market of farm produce commodities trading analysis system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109903185A (en) * | 2019-04-01 | 2019-06-18 | 国家电网有限公司 | A kind of power communication unified resource management system based on cloud computing |
| CN110163727A (en) * | 2019-05-28 | 2019-08-23 | 杨茂林 | A kind of efficient supply and demand processing system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105825372A (en) * | 2016-03-28 | 2016-08-03 | 尹建宏 | Agricultural product settlement system and integrated analysis system applying the same |
| CN108694596A (en) * | 2018-07-12 | 2018-10-23 | 湖州联禾网络科技有限责任公司 | A kind of market of farm produce management system |
-
2018
- 2018-11-07 CN CN201811318727.9A patent/CN109493176A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105825372A (en) * | 2016-03-28 | 2016-08-03 | 尹建宏 | Agricultural product settlement system and integrated analysis system applying the same |
| CN108694596A (en) * | 2018-07-12 | 2018-10-23 | 湖州联禾网络科技有限责任公司 | A kind of market of farm produce management system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109903185A (en) * | 2019-04-01 | 2019-06-18 | 国家电网有限公司 | A kind of power communication unified resource management system based on cloud computing |
| CN110163727A (en) * | 2019-05-28 | 2019-08-23 | 杨茂林 | A kind of efficient supply and demand processing system |
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Application publication date: 20190319 |