CN109461056A - Independent pricing system for agricultural product transaction - Google Patents
Independent pricing system for agricultural product transaction Download PDFInfo
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- CN109461056A CN109461056A CN201811318714.1A CN201811318714A CN109461056A CN 109461056 A CN109461056 A CN 109461056A CN 201811318714 A CN201811318714 A CN 201811318714A CN 109461056 A CN109461056 A CN 109461056A
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- 238000003860 storage Methods 0.000 claims abstract description 36
- 230000003466 anti-cipated effect Effects 0.000 claims description 17
- 238000013502 data validation Methods 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 3
- 238000012790 confirmation Methods 0.000 abstract description 2
- 210000004209 hair Anatomy 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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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]
- G06Q30/0611—Request for offers or quotes
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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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
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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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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Abstract
The invention discloses an agricultural product transaction autonomous pricing system, which comprises a big data module, a controller, a transaction seeking module, a first storage unit, a controller, a display, a data acquisition and storage module, a transaction module, a data confirmation module and a second storage unit, wherein the big data module is used for acquiring and storing a transaction data; the invention seeks transaction for a buyer through the transaction seeking module, sends out purchasing information and transmits the corresponding purchasing information to the first storage unit, then issues corresponding selling information through the transaction module and stores the selling information in the second storage unit, automatically acquires the selling information and the purchasing information through the data acquisition and storage module, and matches the selling information and the purchasing information by using related rules; then, the controller is used for obtaining the expected prices and the bottom line prices of the two parties after the matching is finished, and finally, the recommended pricing is obtained through calculation of a relevant rule and an algorithm, and the double-sending of the transaction is confirmed through the recommended pricing recommendation; the seller agrees to trade the price; the invention is simple and effective, and can independently determine the price according to the requirements of both parties.
Description
Technical field
The invention belongs to field of independently valuating, it is related to a kind of commodities trading technology, specifically commodities trading is from analytic accounting
Valence system.
Background technique
Agricultural product electronic transaction platform is using information technology upgrade traditional agriculture as foothold and starting point, for China's agricultural production
The awkward status of product dealing realizes from the actual demand of commodities trading and issues component, Hui Yuanjiao including supply-demand information
The functions such as easy component, information intelligent matching component, market information automatic collection component, personalized user transaction customizable component.
But currently lacking by transaction platform a kind of in the transaction of progress, seller hangs on transaction platform first
The receptible lowest price of article and institute oneself sold out, purchaser uploads the required article and institute's energy of oneself again later
The price of receiving, the transaction system independently valuated further according to double barreled quotation;In order to realize above-mentioned design, a kind of solution is now provided
Certainly scheme.
Summary of the invention
The purpose of the present invention is to provide the autonomous pricing systems of commodities trading.
The purpose of the present invention can be achieved through the following technical solutions:
The autonomous pricing system of commodities trading, including to seek module, the first storage single for big data module, controller, transaction
Member, controller, display, data acquisition and memory module, transaction modules, data validation module and the second storage unit;
Wherein, it is described transaction seek module for user input seek buying signals and correspondence want to buy information, it is described to want to buy
Information includes wanting to buy agricultural product, wanting to buy quantity and anticipated price, and the anticipated price purchases receptible highest price for user
Lattice;The transaction seeks module and is transferred to controller for that will seek buying signals, and the transaction seeks module for that will correspond to
Want to buy information be transferred to the first storage unit carry out real-time storage;
The big data module and internet real-time linkage, for obtaining the commodities trading information in internet;It is described
Transaction modules sell information for user's input, and the information of selling includes selling agricultural product, selling quantity and exhaust price, institute
Stating exhaust price is that user is subjected to the minimum price for selling agricultural product;The transaction modules are transferred to for that will sell information
Two storage units;
The controller receive transaction seek module transfer when seeking buying signals to data acquisition and storage mould
Block transfer ratio is to signal;The data acquisition and memory module can carry out automatically when receiving the comparison signal of controller transmission
Operation is compared, comparing operation, detailed process is as follows:
Step 1: getting from the first storage unit automatically and want to buy information, and gets from the second storage unit and sell letter
Breath;
Step 2: it agricultural product is wanted to buy, wants to buy quantity and anticipated price from wanting to buy to read in information, read from selling in information
It gets and sells agricultural product, sells quantity and exhaust price;
Step 3: will want to buy agricultural product and sell agricultural product and be compared, according to wanting to buy agricultural product for selling in correspondence
Information flag is information for sale;
Step 4: the anticipated price of information will be wanted to buy labeled as J;The exhaust price of information for sale is labeled as Di, i=
1...n;According to formula W i=J-Di, i=1...n;Difference is calculated;
Step 5: getting the maximum value of Wi for its corresponding information flag for sale is that core sells information;
Step 6: quantity will be sold and be compared with quantity is wanted to buy;
S1: when selling quantity more than or equal to quantity is wanted to buy, then only corresponding information flag for sale is sold to information for core;
S2: when selling quantity less than quantity is wanted to buy, successively information flag for sale is sold for core from big to small according to Wi value
Information until when sell quantity be more than or equal to want to buy quantity;
The data acquisition is used to sell core to information with memory module and corresponding information of wanting to buy is transferred to controller, described
Controller is used to sell information according to core and corresponding information of wanting to buy carries out price processing, specific steps are as follows:
Step 1: the anticipated price for wanting to buy information is got labeled as J, gets the Bottom Line Price that corresponding core sells information later
Lattice, and exhaust price is labeled as Dx;
Step 2: getting the market price that corresponding agricultural product are sold on the market using big data module, and by market
Price tags are Sc;
Step 3: as (J+Dx)/2=Sc ± X1, X1 is preset value;Selecting market price Sc at this time is to recommend valuation;
Step 4: as (J+Dx)/2 ≠ Sc ± X1;By (J+Dx)/2 labeled as recommendation valuation.
Further, the controller carries out real-time display for valuation will to be recommended to be transferred to display;
For that will recommend, valuation is transferred to data acquisition to the controller and memory module carries out real-time storage.
Further, the controller is also used to that valuation will be recommended to be transferred to transaction modules, and the transaction modules receive control
Valuation will be recommended to be transferred to data validation module when the recommendation valuation of device transmission processed;
The data validation module recommends valuation for confirming, will recommend valuation mark automatically when user receives to recommend valuation
It is denoted as price of the selling party, the data validation module is used to price of the selling party being transferred to controller;The controller is used for the seller
Price is transferred to transaction and seeks module to remind buyer.
Beneficial effects of the present invention:
It is that buyer seeks to trade that the present invention, which seeks module by transaction, and sending wants to buy information and passes corresponding information of wanting to buy
It is defeated to the first storage unit, later by transaction modules issue it is corresponding sell information and store to the second storage unit, later
It is obtained automatically by data acquisition and memory module and sells information and want to buy information, and matched using dependency rule;Later
The anticipated price and exhaust price that both sides after matching is completed are got using controller, finally by dependency rule combination algorithm
Recommendation valuation is calculated, and is confirmed by recommending valuation to recommend the double hairs of transaction;This changes price after the seller agrees to
It trades;The present invention is simple and effective, and can independently be set price according to both sides' demand.
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, the autonomous pricing system of commodities trading, including big data module, controller, transaction seek module,
First storage unit, controller, display, data acquisition and memory module, transaction modules, data validation module and the second storage
Unit;
Wherein, it is described transaction seek module for user input seek buying signals and correspondence want to buy information, it is described to want to buy
Information includes wanting to buy agricultural product, wanting to buy quantity and anticipated price, and the anticipated price purchases receptible highest price for user
Lattice;The transaction seeks module and is transferred to controller for that will seek buying signals, and the transaction seeks module for that will correspond to
Want to buy information be transferred to the first storage unit carry out real-time storage;
The big data module and internet real-time linkage, for obtaining the commodities trading information in internet;It is described
Transaction modules sell information for user's input, and the information of selling includes selling agricultural product, selling quantity and exhaust price, institute
Stating exhaust price is that user is subjected to the minimum price for selling agricultural product;The transaction modules are transferred to for that will sell information
Two storage units;
The controller receive transaction seek module transfer when seeking buying signals to data acquisition and storage mould
Block transfer ratio is to signal;The data acquisition and memory module can carry out automatically when receiving the comparison signal of controller transmission
Operation is compared, comparing operation, detailed process is as follows:
Step 1: getting from the first storage unit automatically and want to buy information, and gets from the second storage unit and sell letter
Breath;
Step 2: it agricultural product is wanted to buy, wants to buy quantity and anticipated price from wanting to buy to read in information, read from selling in information
It gets and sells agricultural product, sells quantity and exhaust price;
Step 3: will want to buy agricultural product and sell agricultural product and be compared, according to wanting to buy agricultural product for selling in correspondence
Information flag is information for sale;
Step 4: the anticipated price of information will be wanted to buy labeled as J;The exhaust price of information for sale is labeled as Di, i=
1...n;According to formula W i=J-Di, i=1...n;Difference is calculated;
Step 5: getting the maximum value of Wi for its corresponding information flag for sale is that core sells information;
Step 6: quantity will be sold and be compared with quantity is wanted to buy;
S1: when selling quantity more than or equal to quantity is wanted to buy, then only corresponding information flag for sale is sold to information for core;
S2: when selling quantity less than quantity is wanted to buy, successively information flag for sale is sold for core from big to small according to Wi value
Information until when sell quantity be more than or equal to want to buy quantity;
The data acquisition is used to sell core to information with memory module and corresponding information of wanting to buy is transferred to controller, described
Controller is used to sell information according to core and corresponding information of wanting to buy carries out price processing, specific steps are as follows:
Step 1: the anticipated price for wanting to buy information is got labeled as J, gets the Bottom Line Price that corresponding core sells information later
Lattice, and exhaust price is labeled as Dx;
Step 2: getting the market price that corresponding agricultural product are sold on the market using big data module, and by market
Price tags are Sc;
Step 3: as (J+Dx)/2=Sc ± X1, X1 is preset value;Selecting market price Sc at this time is to recommend valuation;
Step 4: as (J+Dx)/2 ≠ Sc ± X1;By (J+Dx)/2 labeled as recommendation valuation.
Further, the controller carries out real-time display for valuation will to be recommended to be transferred to display;
For that will recommend, valuation is transferred to data acquisition to the controller and memory module carries out real-time storage.
Further, the controller is also used to that valuation will be recommended to be transferred to transaction modules, and the transaction modules receive control
Valuation will be recommended to be transferred to data validation module when the recommendation valuation of device transmission processed;
The data validation module recommends valuation for confirming, will recommend valuation mark automatically when user receives to recommend valuation
It is denoted as price of the selling party, the data validation module is used to price of the selling party being transferred to controller;The controller is used for the seller
Price is transferred to transaction and seeks module to remind buyer.
The autonomous pricing system of commodities trading, at work, seeking module by transaction is that buyer seeks to trade, and sending is asked
Corresponding information of wanting to buy simultaneously is transferred to the first storage unit by purchase information, is issued by transaction modules corresponding sell information later
And store to the second storage unit, it is obtained automatically by data acquisition and memory module later and sells information and want to buy information, and
It is matched using dependency rule;The anticipated price and Bottom Line Price of both sides after matching is completed are got using controller later
Lattice are calculated recommendation valuation finally by dependency rule combination algorithm, and are carried out by recommending valuation to recommend the double hairs of transaction
Confirmation;This changes price and trades after the seller agrees to;The present invention is simple and effective, and can independently be determined according to both sides' demand
Price.
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. the autonomous pricing system of commodities trading, which is characterized in that seek module, including big data module, controller, transaction
One storage unit, controller, display, data acquisition and memory module, transaction modules, data validation module and the second storage are single
Member;
Wherein, it is described transaction seek module for user input seek buying signals and correspondence want to buy information, it is described to want to buy information
Including wanting to buy agricultural product, wanting to buy quantity and anticipated price, the anticipated price purchases receptible ceiling price for user;Institute
It states transaction and seeks module and be transferred to controller for buying signals will to be sought, the transaction seeks module for wanting to buy corresponding
Information is transferred to the first storage unit and carries out real-time storage;
The big data module and internet real-time linkage, for obtaining the commodities trading information in internet;The transaction
Module sells information for user's input, and the information of selling includes selling agricultural product, selling quantity and exhaust price, the bottom
Line price is that user is subjected to the minimum price for selling agricultural product;The transaction modules are transferred to second for will sell information and deposit
Storage unit;
The controller seeks passing when seeking buying signals to data acquisition and memory module for module transfer receiving transaction
Defeated comparison signal;The data acquisition can be compared with memory module when receiving the comparison signal of controller transmission automatically
Operation, comparing operation, detailed process is as follows:
Step 1: getting from the first storage unit automatically and want to buy information, and gets from the second storage unit and sell information;
Step 2: it agricultural product is wanted to buy, wants to buy quantity and anticipated price from wanting to buy to read in information, read from selling in information
It sells agricultural product, sell quantity and exhaust price;
Step 3: agricultural product will be wanted to buy and sell agricultural product and be compared, information will be sold in correspondence according to agricultural product are wanted to buy
Labeled as information for sale;
Step 4: the anticipated price of information will be wanted to buy labeled as J;The exhaust price of information for sale is labeled as Di, i=1...n;
According to formula W i=J-Di, i=1...n;Difference is calculated;
Step 5: getting the maximum value of Wi for its corresponding information flag for sale is that core sells information;
Step 6: quantity will be sold and be compared with quantity is wanted to buy;
S1: when selling quantity more than or equal to quantity is wanted to buy, then only corresponding information flag for sale is sold to information for core;
S2: when selling quantity less than quantity is wanted to buy, successively information flag for sale is sold to information for core from big to small according to Wi value
Until when sell quantity be more than or equal to want to buy quantity;
The data acquisition is used to sell core to information with memory module and corresponding information of wanting to buy is transferred to controller, the control
Device is used to sell information according to core and corresponding information of wanting to buy carries out price processing, specific steps are as follows:
Step 1: getting the anticipated price for wanting to buy information labeled as J, get the exhaust price that corresponding core sells information later,
And exhaust price is labeled as Dx;
Step 2: getting the market price that corresponding agricultural product are sold on the market using big data module, and by the market price
Labeled as Sc;
Step 3: as (J+Dx)/2=Sc ± X1, X1 is preset value;Selecting market price Sc at this time is to recommend valuation;
Step 4: as (J+Dx)/2 ≠ Sc ± X1;By (J+Dx)/2 labeled as recommendation valuation.
2. the autonomous pricing system of commodities trading according to claim 1, which is characterized in that the controller will be for that will push away
It recommends valuation and is transferred to display progress real-time display;
For that will recommend, valuation is transferred to data acquisition to the controller and memory module carries out real-time storage.
3. the autonomous pricing system of commodities trading according to claim 1, which is characterized in that the controller be also used to by
Valuation is recommended to be transferred to transaction modules, the transaction modules will recommend valuation to be transferred to when receiving the recommendation valuation of controller transmission
Data validation module;
The data validation module recommends valuation for confirming, valuation will be recommended to be labeled as automatically when user receives to recommend valuation
Price of the selling party, the data validation module are used to price of the selling party being transferred to controller;The controller is used for price of the selling party
It is transferred to transaction and seeks module to remind buyer.
Priority Applications (1)
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CN201811318714.1A CN109461056B (en) | 2018-11-07 | 2018-11-07 | Independent pricing system for agricultural product transaction |
Applications Claiming Priority (1)
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CN201811318714.1A CN109461056B (en) | 2018-11-07 | 2018-11-07 | Independent pricing system for agricultural product transaction |
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CN109461056A true CN109461056A (en) | 2019-03-12 |
CN109461056B CN109461056B (en) | 2021-11-09 |
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Cited By (1)
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CN109919770B (en) * | 2019-03-15 | 2021-06-15 | 江苏端木软件技术有限公司 | Intelligent transaction system based on big data |
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CN101751639A (en) * | 2008-12-17 | 2010-06-23 | 上海西本钢铁贸易发展有限公司 | Method and system for electronic transaction platform based on network |
CN102138153A (en) * | 2008-06-27 | 2011-07-27 | 微软公司 | Mechanisms and architecture for mobile opportunistic commerce |
CN103295152A (en) * | 2012-02-24 | 2013-09-11 | 纽海信息技术(上海)有限公司 | Commodity selling system and selling method thereof |
CN107292726A (en) * | 2010-10-14 | 2017-10-24 | 周昱 | Online commodity bargaining method and system |
CN108198029A (en) * | 2017-12-29 | 2018-06-22 | 李文刚 | Product dissemination method, device, system, terminal and readable storage medium storing program for executing |
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2018
- 2018-11-07 CN CN201811318714.1A patent/CN109461056B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102138153A (en) * | 2008-06-27 | 2011-07-27 | 微软公司 | Mechanisms and architecture for mobile opportunistic commerce |
CN101751639A (en) * | 2008-12-17 | 2010-06-23 | 上海西本钢铁贸易发展有限公司 | Method and system for electronic transaction platform based on network |
CN107292726A (en) * | 2010-10-14 | 2017-10-24 | 周昱 | Online commodity bargaining method and system |
CN103295152A (en) * | 2012-02-24 | 2013-09-11 | 纽海信息技术(上海)有限公司 | Commodity selling system and selling method thereof |
CN108198029A (en) * | 2017-12-29 | 2018-06-22 | 李文刚 | Product dissemination method, device, system, terminal and readable storage medium storing program for executing |
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CN109919770B (en) * | 2019-03-15 | 2021-06-15 | 江苏端木软件技术有限公司 | Intelligent transaction system based on big data |
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