CN112465608A - Metallurgical refractory selling network system - Google Patents
Metallurgical refractory selling network system Download PDFInfo
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- CN112465608A CN112465608A CN202110043475.9A CN202110043475A CN112465608A CN 112465608 A CN112465608 A CN 112465608A CN 202110043475 A CN202110043475 A CN 202110043475A CN 112465608 A CN112465608 A CN 112465608A
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- 239000011819 refractory material Substances 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 238000012790 confirmation Methods 0.000 claims abstract description 12
- 239000000463 material Substances 0.000 claims abstract description 11
- 238000005272 metallurgy Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 6
- 238000003860 storage Methods 0.000 claims abstract description 4
- 238000007418 data mining Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 4
- 238000005065 mining Methods 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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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
-
- 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]
- G06Q30/0605—Supply or demand aggregation
-
- 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]
- G06Q30/0631—Item recommendations
Abstract
The invention relates to the field of metallurgy refractory material sales, in particular to a metallurgy refractory material sales network system, which comprises a supply and demand data acquisition module, a supply and demand recommendation module, a bidding module, a third party transaction module and a supply and demand validity confirmation module; the supply and demand data acquisition module acquires metallurgical refractory demand data and metallurgical refractory supply data through multiple ports and sends the acquired data to the server for publishing and storage; and the supply and demand recommendation module realizes the calculation of the matching degree of the metallurgical material demand data and the metallurgical refractory material supply data through a preset algorithm, and if the matching degree is higher than 70%, mutual recommendation is carried out. The invention realizes the automatic calculation of the supply and demand matching degree while issuing the metallurgical refractory demand data and the metallurgical refractory supply data, thereby completing the automatic recommendation, greatly improving the transaction success rate, reducing the time of the user, updating the website information in time, having the bid list comparison analysis function and greatly facilitating the use of the user.
Description
Technical Field
The invention relates to the field of metallurgy refractory material sales, in particular to a metallurgy refractory material sales network system.
Background
At present, the existing metallurgy refractory sales generally adopts an online release and offline transaction mode, a user needs to spend a great deal of time to screen and compare information released online, time and labor are wasted, and meanwhile, the transaction rate is low; meanwhile, the website information is updated slowly, the requirement is invalid in many times, the website cannot be updated regularly, and only the data can be invalidated according to the preset time, which undoubtedly brings much trouble to the user.
Disclosure of Invention
In order to solve the problems, the invention provides a metallurgical refractory sale network system which can realize the automatic calculation of supply and demand matching degree while issuing the metallurgical refractory demand data and the metallurgical refractory supply data, thereby completing automatic recommendation, greatly improving the success rate of transaction, saving the time of users, updating website information in time, having a bidding single-to-comparison analysis function and greatly facilitating the use of the users.
In order to achieve the purpose, the invention adopts the technical scheme that:
a metallurgical refractory sales network system, comprising:
the supply and demand data acquisition module is used for acquiring metallurgical refractory demand data and metallurgical refractory supply data through multiple ports and sending the acquired data to the server for release and storage;
the supply and demand recommendation module is used for calculating the matching degree of the metallurgical material demand data and the metallurgical refractory material supply data through a preset algorithm, and if the matching degree is higher than 70%, mutual recommendation is carried out;
the bidding module is used for non-transparent bidding of a manufacturer with a preset matching degree, and the manufacturer needs to complete filling and uploading of a bidding document according to a preset template;
the third-party transaction module is used for completing online transaction and sending the signed contract to the server, and the server realizes the adjustment of the published metallurgical material demand data and the published metallurgical refractory material supply data based on the signed contract;
and the supply and demand validity confirmation module is used for confirming the validity of the supply and demand data at regular time and adjusting the issued demand data of the metallurgical materials and the supply data of the metallurgical refractory materials according to the confirmation result.
Further, the metallurgical refractory requirement data at least comprises the name, the size requirement, the performance requirement and the required quantity of the metallurgical refractory; the metallurgical refractory supply data includes at least an adjustable production force parameter, a name, a size, and a performance parameter of a saleable metallurgical refractory, and/or a name, a size, and a performance parameter of a producible metallurgical refractory.
Further, the supply and demand recommendation module outputs corresponding productivity requirements according to the metallurgical refractory requirement data based on a preset fuzzy neural network algorithm, and then achieves similarity between the metallurgical refractory requirement data and the adjustable productivity parameters, the names, the sizes and the performance parameters of the saleable metallurgical refractory and/or the names, the sizes and the performance parameters of the producible metallurgical refractory based on the preset algorithm, and similarity between the productivity requirements and the adjustable productivity parameters.
Furthermore, the supply and demand recommendation module adopts a mode of automatic editing and sending of station letters to carry out mutual recommendation, each station letter internally carries a hyperlink corresponding to data required by the metallurgical refractory material/data access for supplying the metallurgical refractory material, and each station letter sent to a manufacturer internally carries a bidding registration hyperlink.
Further, the supply and demand recommending module starts to calculate the matching degree once when adding one piece of metallurgical refractory demand data/metallurgical refractory supply data.
Further, the supply and demand validity confirmation module realizes the confirmation of the validity of the demand data by the following method:
starting a short message editing module at regular time to send whether the metallurgical refractory requirement/metallurgical refractory supply data is valid or not; if the valid request returns to 1, if the invalid request returns to 0; to a designated mobile phone; if no reply is received within a week, the data is considered invalid.
Further, still include:
and the comparison and analysis module is used for realizing comparison and analysis of the quoted information loaded in the checked metallurgy refractory quoted sheet and outputting a corresponding comparison and analysis report.
Further, still include: and the data mining module is used for mining the target data at regular time according to the data mining requirements input by the user and feeding back the data in a mode of summarizing Excel forms.
The invention has the following beneficial effects:
when the metallurgical refractory demand data and the metallurgical refractory supply data are published, the automatic calculation of the supply and demand matching degree is realized, so that the automatic recommendation is completed, the transaction success rate is greatly improved, and the time of a user is saved;
the website information is updated timely, the data validity can be automatically determined, and the published metallurgical material demand data and the published metallurgical refractory material supply data are adjusted;
the system is provided with a bidding document comparison analysis function and a target data autonomous mining function, and is greatly convenient for users to use.
Drawings
Fig. 1 is a system block diagram of a metallurgical refractory sales network system according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in detail below with reference to examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, an embodiment of the present invention provides a metallurgical refractory sales network system, including:
the registration login module is used for realizing the real-name registration login of the user;
the supply and demand data acquisition module is used for acquiring metallurgical refractory demand data and metallurgical refractory supply data through multiple ports and sending the acquired data to the server for release and storage;
the supply and demand recommendation module is used for calculating the matching degree of the metallurgical material demand data and the metallurgical refractory material supply data through a preset algorithm, and if the matching degree is higher than 70%, mutual recommendation is carried out;
the bidding module is used for non-transparent bidding of a manufacturer with a preset matching degree, and the manufacturer needs to complete filling and uploading of a bidding document according to a preset template;
the third-party transaction module is used for completing online transaction and sending the signed contract to the server, and the server realizes the adjustment of the published metallurgical material demand data and the published metallurgical refractory material supply data based on the signed contract;
the supply and demand validity confirmation module is used for confirming the validity of the supply and demand data at regular time and adjusting the published metallurgical material demand data and the published metallurgical refractory material supply data according to the confirmation result;
the comparison analysis module is used for realizing comparison analysis of the quotation information loaded in the checked metallurgical refractory quotation sheet and outputting a corresponding comparison analysis report;
and the data mining module is used for mining the target data at regular time according to the data mining requirements input by the user and feeding back the data in a mode of summarizing Excel forms.
In this embodiment, the metallurgical refractory requirement data at least includes the name, size requirement, performance requirement, and required quantity of the metallurgical refractory; the metallurgical refractory supply data includes at least an adjustable production force parameter, a name, a size, and a performance parameter of a saleable metallurgical refractory, and/or a name, a size, and a performance parameter of a producible metallurgical refractory.
In this embodiment, the supply and demand recommendation module outputs the corresponding productivity requirement according to the metallurgical refractory requirement data based on the preset fuzzy neural network algorithm, and then realizes the similarity between the metallurgical refractory requirement data and the allocable productivity parameter, the name, the size and the performance parameter of the saleable metallurgical refractory and/or the name, the size and the performance parameter of the producible metallurgical refractory based on the preset algorithm, and the similarity between the productivity requirement and the allocable productivity parameter.
In this embodiment, the supply and demand recommendation module performs mutual recommendation by adopting a method of automatic editing and sending of station letters, each station letter internally loads a hyperlink corresponding to access of data required by the metallurgical refractory material/data supplied by the metallurgical refractory material, each station letter sent to a manufacturer internally loads a bidding registration hyperlink, and the manufacturer enters a bidding registration interface through the motor bidding registration hyperlink and can fill and upload a bidding document after completing bidding registration.
In this embodiment, the supply and demand recommendation module starts the calculation of the matching degree once every time one piece of metallurgical refractory demand data/metallurgical refractory supply data is added.
In this embodiment, the supply and demand validity confirmation module realizes the confirmation of the validity of the demand data by the following method:
starting a short message editing module at regular time to send whether the metallurgical refractory requirement/metallurgical refractory supply data is valid or not; if the valid request returns to 1, if the invalid request returns to 0; to a designated mobile phone; if no reply is received within a week, the data is considered invalid.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (8)
1. A metallurgical refractory selling network system is characterized by comprising:
the supply and demand data acquisition module is used for acquiring metallurgical refractory demand data and metallurgical refractory supply data through multiple ports and sending the acquired data to the server for release and storage;
the supply and demand recommendation module is used for calculating the matching degree of the metallurgical material demand data and the metallurgical refractory material supply data through a preset algorithm, and if the matching degree is higher than 70%, mutual recommendation is carried out;
the bidding module is used for non-transparent bidding of a manufacturer with a preset matching degree, and the manufacturer needs to complete filling and uploading of a bidding document according to a preset template;
the third-party transaction module is used for completing online transaction and sending the signed contract to the server, and the server realizes the adjustment of the published metallurgical material demand data and the published metallurgical refractory material supply data based on the signed contract;
and the supply and demand validity confirmation module is used for confirming the validity of the supply and demand data at regular time and adjusting the issued demand data of the metallurgical materials and the supply data of the metallurgical refractory materials according to the confirmation result.
2. The system of claim 1, wherein the metallurgical refractory demand data comprises at least a name, a size requirement, a performance requirement, and a demand quantity of the metallurgical refractory; the metallurgical refractory supply data includes at least an adjustable production force parameter, a name, a size, and a performance parameter of a saleable metallurgical refractory, and/or a name, a size, and a performance parameter of a producible metallurgical refractory.
3. The system of claim 1, wherein the supply and demand recommendation module outputs the corresponding productivity requirement according to the metallurgical refractory requirement data based on a predetermined fuzzy neural network algorithm, and then implements similarity between the metallurgical refractory requirement data and the adjustable productivity parameter, the name, the size and the performance parameter of the saleable metallurgical refractory and/or the name, the size and the performance parameter of the producible metallurgical refractory based on a predetermined algorithm, and similarity between the productivity requirement and the adjustable productivity parameter.
4. The metallurgy refractory selling network system of claim 1, wherein the supply and demand recommending module carries out mutual recommendation by adopting a mode of automatic editing and sending of in-station letters, each in-station letter carries a hyperlink corresponding to the access of metallurgy refractory demand data/metallurgy refractory supply data, and each recommending in-station letter sent to a manufacturer carries a bidding registration hyperlink.
5. The system of claim 1, wherein the supply and demand recommendation module starts the matching degree calculation every time a piece of metallurgical refractory demand data/metallurgical refractory supply data is added.
6. The metallurgical refractory selling network system of claim 1, wherein the supply and demand validity confirming module realizes the confirmation of the validity of the demand data by the following method:
starting a short message editing module at regular time to send whether the metallurgical refractory requirement/metallurgical refractory supply data is valid or not; if the valid request returns to 1, if the invalid request returns to 0; to a designated mobile phone; if no reply is received within a week, the data is considered invalid.
7. The metallurgical refractory selling network system of claim 1, further comprising:
and the comparison and analysis module is used for realizing comparison and analysis of the quoted information loaded in the checked metallurgy refractory quoted sheet and outputting a corresponding comparison and analysis report.
8. The metallurgical refractory selling network system of claim 1, further comprising: and the data mining module is used for mining the target data at regular time according to the data mining requirements input by the user and feeding back the data in a mode of summarizing Excel forms.
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| CN202110043475.9A CN112465608A (en) | 2021-01-13 | 2021-01-13 | Metallurgical refractory selling network system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110043475.9A CN112465608A (en) | 2021-01-13 | 2021-01-13 | Metallurgical refractory selling network system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117436181A (en) * | 2023-12-19 | 2024-01-23 | 中冶南方工程技术有限公司 | Intelligent evaluation method for heat insulation and heat tracing of pipeline in metallurgical engineering process |
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| CN105787786A (en) * | 2016-03-28 | 2016-07-20 | 牡丹江师范学院 | E-commerce transaction system |
| CN106657405A (en) * | 2017-02-21 | 2017-05-10 | 吉林农业大学 | Agricultural Internet of Things information platform system |
| CN109146410A (en) * | 2018-07-27 | 2019-01-04 | 西安航空职业技术学院 | A kind of multimedia advertising design platform |
-
2021
- 2021-01-13 CN CN202110043475.9A patent/CN112465608A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105787786A (en) * | 2016-03-28 | 2016-07-20 | 牡丹江师范学院 | E-commerce transaction system |
| CN106657405A (en) * | 2017-02-21 | 2017-05-10 | 吉林农业大学 | Agricultural Internet of Things information platform system |
| CN109146410A (en) * | 2018-07-27 | 2019-01-04 | 西安航空职业技术学院 | A kind of multimedia advertising design platform |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117436181A (en) * | 2023-12-19 | 2024-01-23 | 中冶南方工程技术有限公司 | Intelligent evaluation method for heat insulation and heat tracing of pipeline in metallurgical engineering process |
| CN117436181B (en) * | 2023-12-19 | 2024-03-22 | 中冶南方工程技术有限公司 | Intelligent evaluation method for heat insulation and heat tracing of pipeline in metallurgical engineering process |
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Application publication date: 20210309 |