CN118014577A - Transaction system data processing method and transaction system - Google Patents
Transaction system data processing method and transaction system Download PDFInfo
- Publication number
- CN118014577A CN118014577A CN202410147946.4A CN202410147946A CN118014577A CN 118014577 A CN118014577 A CN 118014577A CN 202410147946 A CN202410147946 A CN 202410147946A CN 118014577 A CN118014577 A CN 118014577A
- Authority
- CN
- China
- Prior art keywords
- transaction
- data
- value
- preset
- price
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 15
- 238000012795 verification Methods 0.000 claims description 22
- 238000000034 method Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000001186 cumulative effect Effects 0.000 description 4
- 238000010835 comparative analysis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
- G06Q20/308—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using the Internet of Things
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Computing Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Finance (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
According to the transaction system data processing method and the transaction system, the transaction application data is processed through the preset edge node, so that the transaction application data processing efficiency is improved; the transaction list is verified by the preset data processing center, so that the safety of the transaction list is improved, and the benefits of the transaction buying end and the transaction selling end are guaranteed; in addition, the transaction buying data and the transaction selling data are analyzed to provide fair and fair guard for the transaction buying end and the transaction selling end, and the transaction amount is improved in a price matching mode.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a transaction system data processing method and a transaction system.
Background
With the development of network economy, the network transaction amount is explosively increased, and particularly in the aspect of matching and butting of transaction price and transaction quantity, the real-time performance and efficiency of the transaction are required to be considered, so that a great challenge is brought to a transaction system.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a transaction system data processing method and a transaction system, which can improve the efficiency of transaction application data processing and improve the transaction amount by price matching.
The first aspect of the invention provides a transaction system data processing method, which comprises the following steps:
Acquiring transaction application data information;
dividing transaction application data into transaction buying data and transaction selling data;
Transmitting transaction selling data to a preset edge node end and a preset data processing center end for storage;
Based on a preset edge node end, matching transaction buying data with transaction selling data to obtain a matching value;
When the matching value is equal to 100%, locking transaction buying data and transaction selling data corresponding to the matching value and generating a transaction bill;
The transaction list is sent to a preset data processing center end for verification, and if verification is passed, a verification receipt is generated;
based on the verification receipt, allowing the transaction bill to conduct transaction, and completing corresponding transaction when the payment of the transaction buying end is successful;
The transaction buying data comprises transaction buying end data, buying hanging data and hanging time value; the transaction selling data comprises transaction selling end data, selling hanging data and hanging time values.
In this scheme, before matching the transaction buying data and the transaction selling data, the method further includes:
dividing the preset edge node ends according to the regions to obtain the preset edge node ends of each region;
Extracting position information of a corresponding transaction buying end in transaction buying end data;
and determining a preset edge node end for processing corresponding transaction buying data according to the region range within which the position of the corresponding transaction buying end falls.
In this scheme, still include:
acquiring the quantity value of transaction orders which need to be processed at the same time by a preset edge node end;
Judging whether the number value of the transaction list is larger than a preset number threshold value, if so, obtaining overload operation information corresponding to a preset edge node end;
Acquiring a duration value accumulated value of overload operation of a preset edge node terminal based on a preset first time period;
Judging whether the accumulated value of the duration time value of overload operation of the preset edge node end is larger than a preset first time threshold value, if so, generating information of adding the preset edge node end;
Based on the addition of the preset edge node information, a preset edge node is added to the area, and whether overload operation exists at the preset edge node of the area is recalculated.
In this scheme, the step of matching the transaction buying data and the transaction selling data to obtain the matching value specifically includes:
Extracting the buying price and the buying quantity value in the buying list data, and extracting the calibration price and the calibration quantity value in the selling list data;
comparing and analyzing the buying price and the calibrated price to obtain a price matching value, and comparing and analyzing the buying quantity value and the calibrated quantity value to obtain a quantity matching value;
multiplying the price matching value by a preset price influence weight coefficient based on the preset price influence weight coefficient and the preset quantity influence weight coefficient to obtain first data;
Multiplying the quantity matching value by a preset quantity influence weight coefficient to obtain second data;
And accumulating the first data and the second data to obtain a matching value of the transaction buying data and the transaction selling data.
In this scheme, the price matching value is obtained by comparing and analyzing the buying price and the calibrated price, and the quantity matching value is obtained by comparing and analyzing the buying quantity value and the calibrated quantity value, specifically:
when the buying price is greater than or equal to the calibrated price, the price matching value is 100%;
when the buying price is smaller than the calibrated price, the price matching value is equal to the buying price divided by the calibrated price and multiplied by 100%;
when the value of the buying quantity is smaller than or equal to the value of the standard quantity, the value of the quantity matching is 100%;
When the purchase quantity value is larger than the calibration quantity value, the quantity matching value is equal to the calibration quantity value divided by the purchase quantity value and multiplied by 100%.
In this solution, when the matching value is equal to 100%, the step of locking the transaction buying data and the transaction selling data corresponding to the matching value and generating the transaction bill specifically includes:
When the matching value of only one transaction selling data and transaction buying data is equal to 100%, locking the transaction buying data and the transaction selling data corresponding to the matching value, and generating a transaction list;
When the matching value of the transaction selling data and the transaction buying data is 100%, acquiring a hanging order time value of the corresponding transaction selling data;
sequencing the transaction selling data corresponding to the matching value according to the hanging order time value, and obtaining the transaction selling data corresponding to the earliest hanging order time value;
And locking the transaction selling data corresponding to the earliest hanging bill time value and the corresponding transaction buying data, and generating a transaction bill.
In this scheme, still include:
when the matching value is less than 100%, if the matching value of the amount is 100%, transaction selling data corresponding to the matching value of the amount of 100% is extracted;
The transaction selling data corresponding to the amount matching value of 100% are sequenced according to the time value of the hanging bill, and the transaction serial number of the transaction selling data corresponding to the amount matching value of 100% is obtained;
locking the transaction selling data and the corresponding transaction buying data in sequence according to the transaction serial numbers and generating a transaction list until the buying quantity value in the buying list data is cleared;
if the sum matching value is 100%, judging whether the sum matching value is larger than a preset sum matching threshold value, if so, calculating a matching price based on a preset matching algorithm; if not, triggering price prompt information;
And sending the matched price to the trade buying end and the trade selling end for display, or sending the price prompt information to the trade buying end for display.
In this scheme, the step of calculating the matching price based on the preset matching algorithm specifically includes:
acquiring historical transaction sales data information in a preset second time period;
Extracting historical selling prices and historical calibration prices of historical transaction selling data in a preset second time period;
When the historical selling price is smaller than the historical calibration price, sending corresponding historical transaction selling data information to a preset standby library for storage, and recording the quantity value of the historical transaction selling data in the preset standby library;
Judging whether the number value of the historical transaction selling data in the preset standby library is larger than a preset first number threshold value, if so, subtracting the historical selling price of the corresponding historical transaction selling data from the historical calibration price of the historical transaction selling data in the preset standby library to obtain the historical price difference of the corresponding historical transaction selling data; if not, expanding a preset second time period based on the preset time base to improve the quantity value of the historical transaction sales data in the preset equipment library;
Carrying out average value calculation on the historical price differences of the sales data of different historical transactions to obtain an average value of the historical price differences;
Subtracting the historical price difference average value from the calibrated price in the current transaction sales data to obtain the matching price of the current transaction sales data.
In this scheme, the step of sending the transaction list to a preset data processing center for verification specifically includes:
extracting transaction selling end data in a transaction bill;
acquiring transaction selling end data in a historical transaction list in a preset third time period;
Judging whether the transaction selling end data in the transaction list is the same as the transaction selling end data in the historical transaction list in a preset third time period, if so, extracting the transaction quantity value in the transaction list and the historical transaction quantity value in the historical transaction list in the preset third time period;
Subtracting the historical transaction quantity value in the historical transaction list in a preset third time period from the calibrated quantity value in the sales list data to obtain a calibrated quantity revision value in the sales list data;
judging whether the transaction quantity value in the transaction list is smaller than or equal to the calibrated quantity revision value in the sales hanging list data, and if so, generating a verification receipt;
If not, subtracting the calibrated quantity revision value in the sales hanging bill data from the transaction quantity value in the transaction bill to obtain the transaction quantity revision value in the transaction bill, and sending the transaction quantity revision value in the transaction bill to the corresponding transaction buying end for display.
A second aspect of the present invention provides a transaction system comprising a memory and a processor, the memory having stored therein a transaction system data processing method program as claimed in any one of the preceding claims.
According to the transaction system data processing method and the transaction system, the transaction application data is processed through the preset edge node, so that the transaction application data processing efficiency is improved; the transaction list is verified by the preset data processing center, so that the safety of the transaction list is improved, and the benefits of the transaction buying end and the transaction selling end are guaranteed; in addition, the transaction buying data and the transaction selling data are analyzed to provide fair and fair guard for the transaction buying end and the transaction selling end, and the transaction amount is improved in a price matching mode.
Drawings
FIG. 1 is a flow chart of a transaction system data processing method of the present invention;
Fig. 2 shows a block diagram of a transaction system of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
FIG. 1 is a flow chart of a transaction system data processing method of the present invention.
As shown in fig. 1, the invention discloses a transaction system data processing method, which comprises the following steps:
s101, acquiring transaction application data information;
s102, dividing transaction application data into transaction buying data and transaction selling data;
S103, sending transaction selling data to a preset edge node end and a preset data processing center end for storage;
s104, based on a preset edge node end, matching transaction buying data with transaction selling data to obtain a matching value;
S105, when the matching value is equal to 100%, locking transaction buying data and transaction selling data corresponding to the matching value and generating a transaction list;
s106, the transaction list is sent to a preset data processing center end for verification, and if verification is passed, a verification receipt is generated;
s107, based on the verification receipt, allowing the transaction order to conduct transaction, and when the payment of the transaction buying end is successful, completing the corresponding transaction.
According to the embodiment of the invention, the preset edge node end can store transaction application data, can match transaction buying data with transaction selling data, calculate a matching value, judge the matching value, and if the matching value is equal to 100%, indicate that the transaction selling data contains the selling order data which accords with the transaction buying data, and generate a transaction order, wherein the transaction order comprises contents such as transaction price, transaction quantity value, transaction buying end, transaction selling end and the like; verifying the transaction list through a preset data processing center end, and feeding back a verification receipt if the verification is passed; the transaction buying data comprises transaction buying end data, buying hanging data and hanging time value; the transaction selling data comprises transaction selling end data, selling hanging data and hanging time values.
According to an embodiment of the present invention, before the matching of the transaction purchase data and the transaction sale data, the method further includes:
dividing the preset edge node ends according to the regions to obtain the preset edge node ends of each region;
Extracting position information of a corresponding transaction buying end in transaction buying end data;
and determining a preset edge node end for processing corresponding transaction buying data according to the region range within which the position of the corresponding transaction buying end falls.
It should be noted that, the preset edge node end also can process the transaction application data, and the transaction application data in different areas is processed through the preset edge node end, so that the data processing capacity of the preset data processing center end is reduced, and each area is provided with the preset edge node end, so that the distance between the data processing end and the transaction application data is shortened, and the transmission problem of the transaction application data is reduced.
According to an embodiment of the present invention, further comprising:
acquiring the quantity value of transaction orders which need to be processed at the same time by a preset edge node end;
Judging whether the number value of the transaction list is larger than a preset number threshold value, if so, obtaining overload operation information corresponding to a preset edge node end;
Acquiring a duration value accumulated value of overload operation of a preset edge node terminal based on a preset first time period;
Judging whether the accumulated value of the duration time value of overload operation of the preset edge node end is larger than a preset first time threshold value, if so, generating information of adding the preset edge node end;
Based on the addition of the preset edge node information, a preset edge node is added to the area, and whether overload operation exists at the preset edge node of the area is recalculated.
It should be noted that, for example, if the preset first time period is 3 days, the cumulative value of the occurrence time of the overload operation of the preset edge node in 3 days is calculated, for example, if the preset first time threshold is 10 minutes, when the cumulative value of the occurrence time of the overload operation of the preset edge node in 3 days is greater than 10 minutes, the information of adding the preset edge node is generated, one preset edge node is added in the area, and after one preset edge node is added, the determination of the overload operation of the preset edge node in the area is also required, and if the cumulative value of the occurrence time of the overload operation of the preset edge node in the preset first time period is greater than the preset first time threshold after one preset edge node is added, one preset edge node is continuously added in the area until the cumulative value of the overload operation of the preset edge node in the preset first time period in the corresponding area is less than or equal to the preset first time threshold.
According to an embodiment of the present invention, the step of matching the transaction purchase data and the transaction sale data to obtain the matching value specifically includes:
Extracting the buying price and the buying quantity value in the buying list data, and extracting the calibration price and the calibration quantity value in the selling list data;
comparing and analyzing the buying price and the calibrated price to obtain a price matching value, and comparing and analyzing the buying quantity value and the calibrated quantity value to obtain a quantity matching value;
multiplying the price matching value by a preset price influence weight coefficient based on the preset price influence weight coefficient and the preset quantity influence weight coefficient to obtain first data;
Multiplying the quantity matching value by a preset quantity influence weight coefficient to obtain second data;
And accumulating the first data and the second data to obtain a matching value of the transaction buying data and the transaction selling data.
It should be noted that, the calibrated price in the sales hanging bill data represents the set sales price corresponding to the sales hanging bill, and the calibrated price is not necessarily the actual transaction price; the calibrated quantity value in the sales hanging bill data represents the quantity value which corresponds to the maximum sales of the sales hanging bill, and the sum of the preset price influence weight coefficient and the preset quantity influence weight coefficient is 1.
According to the embodiment of the invention, the buying price and the calibrated price are subjected to comparative analysis to obtain a price matching value, and the buying quantity value and the calibrated quantity value are subjected to comparative analysis to obtain a quantity matching value, which is specifically as follows:
when the buying price is greater than or equal to the calibrated price, the price matching value is 100%;
when the buying price is smaller than the calibrated price, the price matching value is equal to the buying price divided by the calibrated price and multiplied by 100%;
when the value of the buying quantity is smaller than or equal to the value of the standard quantity, the value of the quantity matching is 100%;
When the purchase quantity value is larger than the calibration quantity value, the quantity matching value is equal to the calibration quantity value divided by the purchase quantity value and multiplied by 100%.
It should be noted that, when the bid price is greater than or equal to the calibrated price, the bid price accords with the ideal price of the trade selling end, so the corresponding price matching value is 100%; when the buying quantity value is smaller than or equal to the standard quantity value, the quantity value provided by the trading selling end accords with the quantity value required by the trading buying end, so that the corresponding quantity matching value is 100%; the price matching value is determined by the ratio of the purchase price to the calibration price, and the quantity matching value is determined by the ratio of the purchase quantity value to the calibration quantity value.
According to an embodiment of the present invention, when the matching value is equal to 100%, the step of locking the transaction buying data and the transaction selling data corresponding to the matching value and generating the transaction bill specifically includes:
When the matching value of only one transaction selling data and transaction buying data is equal to 100%, locking the transaction buying data and the transaction selling data corresponding to the matching value, and generating a transaction list;
When the matching value of the transaction selling data and the transaction buying data is 100%, acquiring a hanging order time value of the corresponding transaction selling data;
sequencing the transaction selling data corresponding to the matching value according to the hanging order time value, and obtaining the transaction selling data corresponding to the earliest hanging order time value;
And locking the transaction selling data corresponding to the earliest hanging bill time value and the corresponding transaction buying data, and generating a transaction bill.
It should be noted that when the number matching value and the price matching value are 100% at the same time, the matching value of the corresponding transaction selling data and the transaction buying data is 100%, and when the matching value of the transaction selling data and the transaction buying data is 100%, it is described that one transaction selling data can satisfy the buying amount of the corresponding transaction buying data, therefore, only the transaction selling data corresponding to the earliest transaction buying data time value and the corresponding transaction buying data are needed to be locked, and a transaction bill is generated; the transaction price in the generated transaction list is the purchase price in the purchase list data, and the transaction quantity value in the transaction list is the purchase quantity value in the purchase list data.
According to an embodiment of the present invention, further comprising:
when the matching value is less than 100%, if the matching value of the amount is 100%, transaction selling data corresponding to the matching value of the amount of 100% is extracted;
The transaction selling data corresponding to the amount matching value of 100% are sequenced according to the time value of the hanging bill, and the transaction serial number of the transaction selling data corresponding to the amount matching value of 100% is obtained;
locking the transaction selling data and the corresponding transaction buying data in sequence according to the transaction serial numbers and generating a transaction list until the buying quantity value in the buying list data is cleared;
if the sum matching value is 100%, judging whether the sum matching value is larger than a preset sum matching threshold value, if so, calculating a matching price based on a preset matching algorithm; if not, triggering price prompt information;
And sending the matched price to the trade buying end and the trade selling end for display, or sending the price prompt information to the trade buying end for display.
When the matching value is less than 100% and the amount matching value is 100%, the calibration value in the sales order data of the transaction sales order data corresponding to the amount matching value is less than the purchase amount value in the purchase order data corresponding to 100%, so that if a plurality of transaction sales data corresponding to the amount matching value is less than 100% and the amount matching value is 100%, the transaction sales order data corresponding to the amount matching value is sequentially generated with the transaction sales order data according to the transaction serial number, for example, the purchase amount value in the purchase order data in the transaction sales order data is 100, the calibration value in the sales order data in the transaction sales order data corresponding to the transaction serial number 1 is 50, and the calibration value in the sales order data in the transaction sales order data corresponding to the transaction serial number 2 is 60, the corresponding transaction purchase data is respectively locked with the transaction sales data corresponding to the transaction serial number 1 and the transaction serial number 2, and the transaction order is generated, and the transaction number in the transaction order corresponding to the transaction number corresponding to the transaction serial number 1 is subtracted from the transaction number corresponding to the transaction sales order number in the transaction sales order data corresponding to the transaction serial number 1; if the buying quantity value is larger than the calibrated quantity value, the corresponding trading quantity value in the trading list is the calibrated quantity value, the calibrated quantity value is subtracted according to the buying quantity value to obtain a buying quantity revision value, and the buying quantity value in the buying hanging list data is revised according to the buying quantity revision value; when the price prompt information is triggered, the buying price is far lower than the calibrated price, and the corresponding transaction buying data is unreasonable.
According to an embodiment of the present invention, the step of calculating the matching price based on the preset matching algorithm specifically includes:
acquiring historical transaction sales data information in a preset second time period;
Extracting historical selling prices and historical calibration prices of historical transaction selling data in a preset second time period;
When the historical selling price is smaller than the historical calibration price, sending corresponding historical transaction selling data information to a preset standby library for storage, and recording the quantity value of the historical transaction selling data in the preset standby library;
Judging whether the number value of the historical transaction selling data in the preset standby library is larger than a preset first number threshold value, if so, subtracting the historical selling price of the corresponding historical transaction selling data from the historical calibration price of the historical transaction selling data in the preset standby library to obtain the historical price difference of the corresponding historical transaction selling data; if not, expanding a preset second time period based on the preset time base to improve the quantity value of the historical transaction sales data in the preset equipment library;
Carrying out average value calculation on the historical price differences of the sales data of different historical transactions to obtain an average value of the historical price differences;
Subtracting the historical price difference average value from the calibrated price in the current transaction sales data to obtain the matching price of the current transaction sales data.
It should be noted that, for example, the preset second time period is 7 days, the current time is taken as a reference, the information of the historical transaction selling data in the last 7 days is obtained, if the number value of the historical transaction selling data in the preset standby library corresponding to the historical transaction selling data in the preset second time period is not greater than the preset first number threshold, the preset second time period is expanded through the preset time base, for example, the preset time base is 3, the preset second time period after one expansion is 7+3=10 days, and if the number value of the historical transaction selling data in the corresponding preset standby library is not greater than the preset first number threshold, the preset second time period is expanded again through the preset time base until the number value of the historical transaction selling data in the corresponding preset standby library is greater than the preset first number threshold.
According to the embodiment of the invention, the step of sending the transaction list to a preset data processing center end for verification specifically comprises the following steps:
extracting transaction selling end data in a transaction bill;
acquiring transaction selling end data in a historical transaction list in a preset third time period;
Judging whether the transaction selling end data in the transaction list is the same as the transaction selling end data in the historical transaction list in a preset third time period, if so, extracting the transaction quantity value in the transaction list and the historical transaction quantity value in the historical transaction list in the preset third time period;
Subtracting the historical transaction quantity value in the historical transaction list in a preset third time period from the calibrated quantity value in the sales list data to obtain a calibrated quantity revision value in the sales list data;
judging whether the transaction quantity value in the transaction list is smaller than or equal to the calibrated quantity revision value in the sales hanging list data, and if so, generating a verification receipt;
If not, subtracting the calibrated quantity revision value in the sales hanging bill data from the transaction quantity value in the transaction bill to obtain the transaction quantity revision value in the transaction bill, and sending the transaction quantity revision value in the transaction bill to the corresponding transaction buying end for display.
It should be noted that, the preset third time period is the update time of the preset data processing center end and the preset edge node end to the transaction list, for example, the transaction list No. 1 is completed, the transaction buying data and the transaction selling data in the transaction list No. 1 need to be updated at the corresponding preset edge node end and the preset data processing center end, the corresponding update time is the preset third time period, and the historical transaction list in the preset third time period is the historical transaction list which is not updated in time, so that the transaction selling data in the corresponding historical transaction list may exist the same as the transaction selling data in the current transaction data, and therefore, verification is required, if the transaction quantity value in the transaction list is equal to or less than the calibration quantity value in the exempted form data, the transaction quantity value in the current transaction list is indicated to meet the requirement, and a verification receipt is generated.
Fig. 2 shows a block diagram of a transaction system of the present invention.
As shown in fig. 2, a second aspect of the present invention provides a transaction system 2 comprising a memory 21 and a processor 22, the memory having stored therein a transaction system data processing method program as claimed in any one of the preceding claims.
According to the transaction system data processing method and the transaction system, the transaction application data is processed through the preset edge node, so that the transaction application data processing efficiency is improved; the transaction list is verified by the preset data processing center, so that the safety of the transaction list is improved, and the benefits of the transaction buying end and the transaction selling end are guaranteed; in addition, the transaction buying data and the transaction selling data are analyzed to provide fair and fair guard for the transaction buying end and the transaction selling end, and the transaction amount is improved in a price matching mode.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. A transaction system data processing method, comprising:
Acquiring transaction application data information;
dividing transaction application data into transaction buying data and transaction selling data;
Transmitting transaction selling data to a preset edge node end and a preset data processing center end for storage;
Based on a preset edge node end, matching transaction buying data with transaction selling data to obtain a matching value;
When the matching value is equal to 100%, locking transaction buying data and transaction selling data corresponding to the matching value and generating a transaction bill;
The transaction list is sent to a preset data processing center end for verification, and if verification is passed, a verification receipt is generated;
based on the verification receipt, allowing the transaction bill to conduct transaction, and completing corresponding transaction when the payment of the transaction buying end is successful;
The transaction buying data comprises transaction buying end data, buying hanging data and hanging time value; the transaction selling data comprises transaction selling end data, selling hanging data and hanging time values.
2. The transaction system data processing method of claim 1, wherein prior to matching the transaction purchase data with the transaction sell data, further comprising:
dividing the preset edge node ends according to the regions to obtain the preset edge node ends of each region;
Extracting position information of a corresponding transaction buying end in transaction buying end data;
and determining a preset edge node end for processing corresponding transaction buying data according to the region range within which the position of the corresponding transaction buying end falls.
3. A transaction system data processing method according to claim 2, further comprising:
acquiring the quantity value of transaction orders which need to be processed at the same time by a preset edge node end;
Judging whether the number value of the transaction list is larger than a preset number threshold value, if so, obtaining overload operation information corresponding to a preset edge node end;
Acquiring a duration value accumulated value of overload operation of a preset edge node terminal based on a preset first time period;
Judging whether the accumulated value of the duration time value of overload operation of the preset edge node end is larger than a preset first time threshold value, if so, generating information of adding the preset edge node end;
Based on the addition of the preset edge node information, a preset edge node is added to the area, and whether overload operation exists at the preset edge node of the area is recalculated.
4. The method for processing transaction system data according to claim 1, wherein the step of matching the transaction purchase data with the transaction sale data to obtain a matching value comprises:
Extracting the buying price and the buying quantity value in the buying list data, and extracting the calibration price and the calibration quantity value in the selling list data;
comparing and analyzing the buying price and the calibrated price to obtain a price matching value, and comparing and analyzing the buying quantity value and the calibrated quantity value to obtain a quantity matching value;
multiplying the price matching value by a preset price influence weight coefficient based on the preset price influence weight coefficient and the preset quantity influence weight coefficient to obtain first data;
Multiplying the quantity matching value by a preset quantity influence weight coefficient to obtain second data;
And accumulating the first data and the second data to obtain a matching value of the transaction buying data and the transaction selling data.
5. The method for processing transaction system data according to claim 4, wherein the comparing and analyzing the purchase price and the calibration price to obtain a price matching value, and comparing and analyzing the purchase quantity value and the calibration quantity value to obtain a quantity matching value comprises:
when the buying price is greater than or equal to the calibrated price, the price matching value is 100%;
when the buying price is smaller than the calibrated price, the price matching value is equal to the buying price divided by the calibrated price and multiplied by 100%;
when the value of the buying quantity is smaller than or equal to the value of the standard quantity, the value of the quantity matching is 100%;
When the purchase quantity value is larger than the calibration quantity value, the quantity matching value is equal to the calibration quantity value divided by the purchase quantity value and multiplied by 100%.
6. The method for processing transaction system data according to claim 1, wherein when the matching value is equal to 100%, the step of locking the transaction purchase data and the transaction sale data corresponding to the matching value and generating the transaction bill specifically comprises:
When the matching value of only one transaction selling data and transaction buying data is equal to 100%, locking the transaction buying data and the transaction selling data corresponding to the matching value, and generating a transaction list;
When the matching value of the transaction selling data and the transaction buying data is 100%, acquiring a hanging order time value of the corresponding transaction selling data;
sequencing the transaction selling data corresponding to the matching value according to the hanging order time value, and obtaining the transaction selling data corresponding to the earliest hanging order time value;
And locking the transaction selling data corresponding to the earliest hanging bill time value and the corresponding transaction buying data, and generating a transaction bill.
7. A transaction system data processing method according to claim 1, further comprising:
when the matching value is less than 100%, if the matching value of the amount is 100%, transaction selling data corresponding to the matching value of the amount of 100% is extracted;
The transaction selling data corresponding to the amount matching value of 100% are sequenced according to the time value of the hanging bill, and the transaction serial number of the transaction selling data corresponding to the amount matching value of 100% is obtained;
locking the transaction selling data and the corresponding transaction buying data in sequence according to the transaction serial numbers and generating a transaction list until the buying quantity value in the buying list data is cleared;
if the sum matching value is 100%, judging whether the sum matching value is larger than a preset sum matching threshold value, if so, calculating a matching price based on a preset matching algorithm; if not, triggering price prompt information;
And sending the matched price to the trade buying end and the trade selling end for display, or sending the price prompt information to the trade buying end for display.
8. The method for processing transaction system data according to claim 7, wherein the step of calculating the matching price based on a preset matching algorithm specifically includes:
acquiring historical transaction sales data information in a preset second time period;
Extracting historical selling prices and historical calibration prices of historical transaction selling data in a preset second time period;
When the historical selling price is smaller than the historical calibration price, sending corresponding historical transaction selling data information to a preset standby library for storage, and recording the quantity value of the historical transaction selling data in the preset standby library;
Judging whether the number value of the historical transaction selling data in the preset standby library is larger than a preset first number threshold value, if so, subtracting the historical selling price of the corresponding historical transaction selling data from the historical calibration price of the historical transaction selling data in the preset standby library to obtain the historical price difference of the corresponding historical transaction selling data; if not, expanding a preset second time period based on the preset time base to improve the quantity value of the historical transaction sales data in the preset equipment library;
Carrying out average value calculation on the historical price differences of the sales data of different historical transactions to obtain an average value of the historical price differences;
Subtracting the historical price difference average value from the calibrated price in the current transaction sales data to obtain the matching price of the current transaction sales data.
9. The method for processing transaction system data according to claim 1, wherein the step of transmitting the transaction ticket to a preset data processing center for verification comprises:
extracting transaction selling end data in a transaction bill;
acquiring transaction selling end data in a historical transaction list in a preset third time period;
Judging whether the transaction selling end data in the transaction list is the same as the transaction selling end data in the historical transaction list in a preset third time period, if so, extracting the transaction quantity value in the transaction list and the historical transaction quantity value in the historical transaction list in the preset third time period;
Subtracting the historical transaction quantity value in the historical transaction list in a preset third time period from the calibrated quantity value in the sales list data to obtain a calibrated quantity revision value in the sales list data;
judging whether the transaction quantity value in the transaction list is smaller than or equal to the calibrated quantity revision value in the sales hanging list data, and if so, generating a verification receipt;
If not, subtracting the calibrated quantity revision value in the sales hanging bill data from the transaction quantity value in the transaction bill to obtain the transaction quantity revision value in the transaction bill, and sending the transaction quantity revision value in the transaction bill to the corresponding transaction buying end for display.
10. A transaction system comprising a memory and a processor, the memory having stored therein a transaction system data processing method program as claimed in any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410147946.4A CN118014577A (en) | 2024-02-02 | 2024-02-02 | Transaction system data processing method and transaction system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410147946.4A CN118014577A (en) | 2024-02-02 | 2024-02-02 | Transaction system data processing method and transaction system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118014577A true CN118014577A (en) | 2024-05-10 |
Family
ID=90953177
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410147946.4A Pending CN118014577A (en) | 2024-02-02 | 2024-02-02 | Transaction system data processing method and transaction system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118014577A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111402050A (en) * | 2020-03-11 | 2020-07-10 | 北京价值互联科技有限公司 | Center-removing matching method and system based on block chain |
| CN115526634A (en) * | 2022-11-21 | 2022-12-27 | 北京共识数信科技有限公司 | Intelligent cross-chain interaction method and system based on block chain and storage medium |
| CN116167857A (en) * | 2022-12-13 | 2023-05-26 | 阿里云计算有限公司 | Data processing method, device, computer equipment and storage medium |
| CN116963077A (en) * | 2023-07-06 | 2023-10-27 | 北京交通大学 | Block chain slicing method for spectrum transaction |
-
2024
- 2024-02-02 CN CN202410147946.4A patent/CN118014577A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111402050A (en) * | 2020-03-11 | 2020-07-10 | 北京价值互联科技有限公司 | Center-removing matching method and system based on block chain |
| CN115526634A (en) * | 2022-11-21 | 2022-12-27 | 北京共识数信科技有限公司 | Intelligent cross-chain interaction method and system based on block chain and storage medium |
| CN116167857A (en) * | 2022-12-13 | 2023-05-26 | 阿里云计算有限公司 | Data processing method, device, computer equipment and storage medium |
| CN116963077A (en) * | 2023-07-06 | 2023-10-27 | 北京交通大学 | Block chain slicing method for spectrum transaction |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20100262532A1 (en) | Predicting a Future Price Range for a Desired Volume | |
| CN110197408B (en) | Pricing early warning method and system for premium commodities | |
| WO2009005997A2 (en) | Establishing and updating reputation scores in online participatory systems | |
| CN110458544B (en) | Payment method and payment service system of multi-cash-register-crossing system | |
| CN113762832A (en) | Inventory information processing method, inventory information processing device, storage medium and electronic equipment | |
| US20060095283A1 (en) | Servicer linkage system, portfolio generation support system, portfolio generation support method, relay computer and recording medium | |
| CN112348430B (en) | User data analysis method, computer equipment and storage medium | |
| CN112669115A (en) | Bulk commodity matching transaction system and method | |
| CN110097369A (en) | Transaction data processing method, device, electronic equipment and storage medium | |
| CN118014577A (en) | Transaction system data processing method and transaction system | |
| CN116090934A (en) | Method, device, equipment and storage medium for rapidly delivering pre-sold articles | |
| CN116012086A (en) | Commodity price estimating method, commodity price estimating device, electronic equipment and storage medium | |
| CN115330448A (en) | Pricing method, device, computer equipment and medium generated according to browsing information | |
| CN111768139B (en) | Stock processing method, apparatus, device and storage medium | |
| CN113780700B (en) | Data processing method, device and storage medium | |
| CN114493415A (en) | Commodity platform control method, system and readable storage medium | |
| CN114140129A (en) | Early warning method and related equipment for declaration information of customs declaration goods | |
| CN113159727A (en) | Commodity detection method and device, electronic equipment and storage medium | |
| CN112508678A (en) | Pledge flat bin distribution method and device and electronic equipment | |
| CN112330098A (en) | Intelligent calculation method and device for KOL cargo carrying capacity attribute | |
| CN113408923B (en) | Premium collection method and device, computer equipment and storage medium | |
| CN116663860B (en) | Task allocation method and system for project demands and readable storage medium | |
| CN115409543A (en) | Commodity pricing method, device, equipment and storage medium | |
| EP4220529A1 (en) | Information provision apparatus, information provision method, and program | |
| CN110706022A (en) | Commission calculation system, method and device for on-line lodging products |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |