CN112418839A - Electronic commerce payment system based on cloud computing - Google Patents
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- G06Q20/38—Payment protocols; Details thereof
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Abstract
The invention discloses an electronic commerce payment system based on cloud computing, relates to the technical field of electronic commerce, and solves the technical problems that the processing capacity of a payment terminal is insufficient and the working efficiency of the whole payment system is reduced; the payment terminal is arranged, the inventory and the sales volume of the commodities are used as important parameters generated by the order processing sequence table, the orders of the commodities with short inventory can be processed preferentially, and the right and the interest of a user can be protected; the invention is provided with a resource analysis module which is used for carrying out payment verification on orders in sequence according to an order processing sequence table; the resource analysis module distributes the order processing sequence list to the payment verification module or the cloud platform according to the edge computing principle, so that the order processing speed is improved, and the efficiency of the whole system is improved; the invention is provided with the credit analysis module, and the credit analysis module is used for grading the credit of the user according to the transaction information of the user, primarily screening orders, extracting high-quality users and contributing to improving the working efficiency of the system.
Description
Technical Field
The invention belongs to the field of electronic commerce, relates to a cloud computing technology, and particularly relates to an electronic commerce payment system based on cloud computing.
Background
Electronic commerce is a business activity which takes an information network technology as a means and takes commodity exchange as a center; the method can also be understood as the transaction activities and related service activities performed in an electronic transaction mode on the Internet, an intranet and a value-added network, and is electronization, networking and informatization of each link of the traditional business activities. Electronic commerce generally refers to a novel business operation mode in which, in wide business trading activities worldwide, in an internet environment open to the internet, buyers and sellers conduct various business activities without conspiracy, and consumers perform online shopping, online transactions among merchants, online electronic payments, and various business activities, trading activities, financial activities, and related comprehensive service activities.
A mobile intelligent cross-platform e-commerce payment system with the publication number of CN109919591A is characterized in that the system is developed based on a smart phone application development technology, the system information data is transmitted at the highest speed through a mobile internet technology, a database technology is adopted to classify, store and manage background data of the system, and the system mainly has the functions of payment mode selection, mobile payment, payment safety guarantee and the like.
According to the scheme, through the development and implementation of system functions, a user can carry out online payment through the smart phone, so that the space of the user is greatly saved, the payment efficiency and the fund safety are improved, and meanwhile, great convenience is brought to the user; however, the above scheme provides a simple mobile payment scheme based on a smart phone, and does not consider the processing capability of the system and the security of data; therefore, the above solution still needs further improvement.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a cloud computing-based e-commerce payment system.
The purpose of the invention can be realized by the following technical scheme: a payment system based on cloud computing electronic commerce comprises a cloud platform, a data storage module, a background management module, a payment verification module, a credit analysis module, a resource analysis module and at least one payment terminal;
the cloud platform is respectively in linear connection with the data storage module, the background management module, the credit analysis module and the resource analysis module; the payment terminal is respectively connected with the payment verification module and the data storage module; the payment verification module is respectively connected with the payment terminal and the cloud platform;
the credit analysis module is used for analyzing the user transaction information and acquiring a summary table; the summary table comprises a user level summary table and a blacklist summary table;
the resource analysis module is used for analyzing the processing capacity of the payment verification module;
the payment terminal is used for acquiring order information and generating an order processing sequence list according to the order information; the cloud platform and the payment verification module sequentially carry out payment verification on the orders according to the order processing sequence table;
and the background management module is used for monitoring the state of the system and performing early warning maintenance.
Preferably, the payment verification specifically includes:
acquiring payment information through a payment terminal; the payment information comprises a user name and a payment password;
acquiring the input time of each character in the payment password, and marking the input time as STj, j as 1, 2, … …, n; the input time difference of adjacent characters is labeled CTj; acquiring the total time length of the payment password input by the user and marking the total time length as ZS;
when the input time STj meets the condition of | STj | > L2, judging that the input of the payment password is invalid, and sending a payment password invalid signal to the payment terminal; when the input time STj meets the condition that the absolute value of STj is less than or equal to L2, the next step is carried out; wherein L2 is a preset input time threshold;
when the total time length ZS meets ZS > L3, judging that the input of the payment password is overtime, and sending a payment password input overtime signal to the payment terminal; when the total time length ZS meets the condition that ZS is not more than L3, judging that the input of the payment password is successful, carrying out the next step, and marking the payment password as the password to be verified; wherein L3 is a preset total duration threshold;
acquiring a payment password preset by a user name through a data storage module and marking the payment password as a standard password;
matching the password to be verified with the standard password, and when the password to be verified is successfully matched with the standard password, successfully verifying the payment; when the password to be verified is unsuccessfully matched with the standard password, a payment password error signal is sent to the payment terminal;
and sending the payment password invalid signal sending record, the payment password input overtime signal sending record and the payment password error signal sending record to the data storage module for storage.
Preferably, the payment terminal is configured to obtain order information and generate an order processing sequence table, and includes:
obtaining order information through a payment terminal and obtaining a commodity evaluation coefficient SPX according to the order information; the order information is a plurality of orders at the same time;
acquiring a user level Di of a user corresponding to the order through a user level summary table; when the user corresponding to the order does not inquire the user level in the user level summary table, inquiring the user corresponding to the order in the blacklist summary table and marking the inquiry result as HCJ;
by the formula
Acquiring an order evaluation coefficient DDPX; wherein gamma 1 is a preset proportionality coefficient, and gamma 1 is a real number greater than 0;
performing descending order arrangement on the order evaluation coefficient DDPX, and generating an order processing sequence table;
and sending the order processing sequence table to a data storage module for storage, and sending the order processing sequence table to a payment verification module.
Preferably, the value of the query result HCJ is 0 and 1, and when the HCJ is 1, it is determined that the user corresponding to the order is queried in the blacklist summary table, and a user abnormal signal is sent to the payment terminal; when the HCJ is 0, judging that the user corresponding to the order is not inquired in the blacklist summary table; and sending the user abnormal signal sending record to a data storage module for storage.
Preferably, the specific steps of acquiring the commodity evaluation coefficient SPX include:
acquiring commodity information in an order; the commodity information comprises commodity inventory, commodity sales and commodity sales total, and is stored in the data storage module;
marking the commodity stock, the commodity sales volume and the commodity sales total as SKL, SX and SXZ respectively;
by the formula
Acquiring a commodity evaluation coefficient SPX; wherein β 1, β 2 and β 3 are preset proportionality coefficients, and β 1, β 2 and β 3 are real numbers greater than 0, and e is a natural constant;
and sending the commodity evaluation coefficient to a data storage module for storage through the cloud platform.
Preferably, the resource analysis module is configured to analyze the processing capability of the payment verification module, and includes:
acquiring a temperature value of a payment verification module processor in real time, and marking the temperature value as WD;
acquiring the working frequency of a payment verification module processor in real time, and marking the working frequency as GP;
acquiring the resource occupancy rate of a payment verification module processor in real time, and marking the resource occupancy rate as ZZL;
by the formula
Acquiring a processor overload coefficient CGX; wherein δ 1 and δ 2 are preset proportionality coefficients, and δ 1 and δ 2 are real numbers greater than 0, and YGP is a dominant frequency of the payment verification module processor;
when the processor overload coefficient CGX meets the condition that the CGX is larger than or equal to L1, judging that the payment verification module processor is overloaded, sending the order processing sequence list to the cloud platform, and after receiving the order processing sequence list, the cloud platform carries out payment verification on the order according to the order processing sequence list; when the processor overload coefficient CGX meets 0< CGX < L1, judging that the payment verification module processor is not overloaded, and sequentially performing payment verification on orders by the payment verification module according to an order processing sequence table; wherein L1 is a preset processor overload factor threshold;
and sending the temperature value, the working frequency, the resource occupancy rate and the processor overload coefficient to a data storage module for storage through the cloud platform.
Preferably, the credit analysis module is configured to analyze the transaction information of the user and obtain a credit rating of the user, and includes:
the method comprises the steps that user transaction information stored in a data storage module is obtained through a cloud platform and sent to an information analysis module; the user transaction information comprises transaction times, transaction total amount, overdue times and overdue total amount of the user within preset time;
after receiving the user transaction information, the information analysis module marks the transaction times, the transaction total amount, the overdue times and the overdue total amount as JC, JZ, YC and YZ respectively;
by the formula
Acquiring a credit rating evaluation coefficient XDPX; wherein e is a natural constant, α 1, α 2 and α 3 are preset proportionality coefficients, and α 1, α 2 and α 3 are real numbers greater than 0;
setting a plurality of membership grades and marking the membership grades as Di, i as 1, 2, … …, m; each member grade corresponds to a preset credit evaluation coefficient range and is respectively (D1, D2], (D2, D3], … …, (Di, Di + 1) in sequence, wherein D1 is a real number larger than 0;
when the credit rating evaluation coefficient XDPX meets the XDPX epsilon (Di, Di + 1), setting the user rating corresponding to the credit rating evaluation coefficient as Di;
when the credit rating evaluation coefficient XDPX meets the XDPX epsilon (0, D1), setting the user corresponding to the credit rating evaluation coefficient as a blacklist user;
and sending the credit rating evaluation coefficient, the user rating summary table and the blacklist summary table to a data storage module for storage through the cloud platform.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides a payment terminal, which is used for acquiring order information and generating an order processing sequence list; obtaining order information through a payment terminal and obtaining a commodity evaluation coefficient SPX according to the order information; acquiring a user level Di of a user corresponding to the order through a user level summary table; when the user corresponding to the order does not inquire the user level in the user level summary table, inquiring the user corresponding to the order in the blacklist summary table and marking the inquiry result as HCJ; acquiring an order evaluation coefficient DDPX; performing descending order arrangement on the order evaluation coefficient DDPX, and generating an order processing sequence table; the payment terminal obtains the order evaluation coefficient through the order information, the commodity information and the user grade, generates an order processing sequence table according to the order evaluation coefficient, takes the stock and the sales volume of the commodity as important parameters generated by the order processing sequence table, can preferentially process the commodity orders with short stock, and is beneficial to protecting the rights and interests of the user;
2. the invention provides a resource analysis module, which is used for analyzing the processing capacity of a payment verification module; acquiring a temperature value WD of a payment verification module processor in real time; acquiring the working frequency GP of a payment verification module processor in real time; acquiring the resource occupancy rate ZZL of the payment verification module processor in real time; acquiring a processor overload coefficient CGX; when the processor overload coefficient CGX meets the condition that the CGX is larger than or equal to L1, judging that the payment verification module processor is overloaded, sending the order processing sequence list to the cloud platform, and after receiving the order processing sequence list, the cloud platform carries out payment verification on the order according to the order processing sequence list; when the processor overload coefficient CGX meets 0< CGX < L1, judging that the payment verification module processor is not overloaded, and sequentially performing payment verification on orders by the payment verification module according to an order processing sequence table; the resource analysis module distributes the order processing sequence list to the payment verification module or the cloud platform according to the edge computing principle, and the edge computing processing mode is beneficial to improving the order processing speed and improving the efficiency of the whole system;
3. the invention is provided with a credit analysis module, which is used for analyzing the transaction information of the user and acquiring the credit level of the user; the method comprises the steps that user transaction information stored in a data storage module is obtained through a cloud platform and sent to an information analysis module; the information analysis module acquires a credit rating evaluation coefficient XDPX; setting a plurality of membership grades and marking the membership grades as Di, i as 1, 2, … …, m; each member grade corresponds to a preset credit evaluation coefficient range which is sequentially (D1, D2], (D2, D3) and … …, (Di, Di + 1), when the credit evaluation coefficient XDPX meets XDPX e (Di, Di + 1), the user grade corresponding to the credit evaluation coefficient is set as Di, the user grades are collected into a user grade summary table, when the credit evaluation coefficient XDPX meets XDPX e (0, D1), the user corresponding to the credit evaluation coefficient is set as a blacklist user, the blacklist users are collected into a blacklist summary table, and a credit analysis module grades the initial credit of the user according to the transaction information of the user, screens orders and extracts high-quality users, thereby being beneficial to improving the working efficiency of the system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a payment system for electronic commerce based on cloud computing includes a cloud platform, a data storage module, a background management module, a payment verification module, a credit analysis module, a resource analysis module, and at least one payment terminal;
the cloud platform is respectively in linear connection with the data storage module, the background management module, the credit analysis module and the resource analysis module; the payment terminal is respectively connected with the payment verification module and the data storage module; the payment verification module is respectively connected with the payment terminal and the cloud platform;
the credit analysis module is used for analyzing the user transaction information and acquiring a summary table; the summary table comprises a user level summary table and a blacklist summary table;
the resource analysis module is used for analyzing the processing capacity of the payment verification module;
the payment terminal is used for acquiring order information and generating an order processing sequence list according to the order information; the cloud platform and the payment verification module sequentially carry out payment verification on the orders according to the order processing sequence table;
and the background management module is used for monitoring the state of the system and performing early warning maintenance.
Further, the payment verification specifically includes:
acquiring payment information through a payment terminal; the payment information comprises a user name and a payment password;
acquiring the input time of each character in the payment password, and marking the input time as STj, j as 1, 2, … …, n; the input time difference of adjacent characters is labeled CTj; acquiring the total time length of the payment password input by the user and marking the total time length as ZS;
when the input time STj meets the condition of | STj | > L2, judging that the input of the payment password is invalid, and sending a payment password invalid signal to the payment terminal; when the input time STj meets the condition that the absolute value of STj is less than or equal to L2, the next step is carried out; wherein L2 is a preset input time threshold;
when the total time length ZS meets ZS > L3, judging that the input of the payment password is overtime, and sending a payment password input overtime signal to the payment terminal; when the total time length ZS meets the condition that ZS is not more than L3, judging that the input of the payment password is successful, carrying out the next step, and marking the payment password as the password to be verified; wherein L3 is a preset total duration threshold;
acquiring a payment password preset by a user name through a data storage module and marking the payment password as a standard password;
matching the password to be verified with the standard password, and when the password to be verified is successfully matched with the standard password, successfully verifying the payment; when the password to be verified is unsuccessfully matched with the standard password, a payment password error signal is sent to the payment terminal;
and sending the payment password invalid signal sending record, the payment password input overtime signal sending record and the payment password error signal sending record to the data storage module for storage.
Further, the payment terminal is used for acquiring order information and generating an order processing sequence table, and includes:
obtaining order information through a payment terminal and obtaining a commodity evaluation coefficient SPX according to the order information; the order information is a plurality of orders at the same time;
acquiring a user level Di of a user corresponding to the order through a user level summary table; when the user corresponding to the order does not inquire the user level in the user level summary table, inquiring the user corresponding to the order in the blacklist summary table and marking the inquiry result as HCJ;
by the formula
Acquiring an order evaluation coefficient DDPX; wherein gamma 1 is a preset proportionality coefficient, and gamma 1 is a real number greater than 0;
performing descending order arrangement on the order evaluation coefficient DDPX, and generating an order processing sequence table;
and sending the order processing sequence table to a data storage module for storage, and sending the order processing sequence table to a payment verification module.
Further, the value of the query result HCJ is 0 and 1, when the HCJ is 1, it is determined that the user corresponding to the order is queried in the blacklist summary table, and a user abnormal signal is sent to the payment terminal; when the HCJ is 0, judging that the user corresponding to the order is not inquired in the blacklist summary table; and sending the user abnormal signal sending record to a data storage module for storage.
Further, the specific steps of acquiring the commodity evaluation coefficient SPX include:
acquiring commodity information in an order; the commodity information comprises commodity inventory, commodity sales and commodity sales total, and is stored in the data storage module;
marking the commodity stock, the commodity sales volume and the commodity sales total as SKL, SX and SXZ respectively;
by the formula
Acquiring a commodity evaluation coefficient SPX; wherein β 1, β 2 and β 3 are preset proportionality coefficients, and β 1, β 2 and β 3 are real numbers greater than 0, and e is a natural constant;
and sending the commodity evaluation coefficient to a data storage module for storage through the cloud platform.
Further, the resource analysis module is configured to analyze the processing capability of the payment verification module, and includes:
acquiring a temperature value of a payment verification module processor in real time, and marking the temperature value as WD;
acquiring the working frequency of a payment verification module processor in real time, and marking the working frequency as GP;
acquiring the resource occupancy rate of a payment verification module processor in real time, and marking the resource occupancy rate as ZZL;
by the formula
Acquiring a processor overload coefficient CGX; wherein δ 1 and δ 2 are preset proportionality coefficients, and δ 1 and δ 2 are real numbers greater than 0, and YGP is a dominant frequency of the payment verification module processor;
when the processor overload coefficient CGX meets the condition that the CGX is larger than or equal to L1, judging that the payment verification module processor is overloaded, sending the order processing sequence list to the cloud platform, and after receiving the order processing sequence list, the cloud platform carries out payment verification on the order according to the order processing sequence list; when the processor overload coefficient CGX meets 0< CGX < L1, judging that the payment verification module processor is not overloaded, and sequentially performing payment verification on orders by the payment verification module according to an order processing sequence table; wherein L1 is a preset processor overload factor threshold;
and sending the temperature value, the working frequency, the resource occupancy rate and the processor overload coefficient to a data storage module for storage through the cloud platform.
Further, the credit analysis module is used for analyzing the user transaction information and acquiring the credit level of the user, and comprises:
the method comprises the steps that user transaction information stored in a data storage module is obtained through a cloud platform and sent to an information analysis module; the user transaction information comprises transaction times, transaction total amount, overdue times and overdue total amount of the user within preset time;
after receiving the user transaction information, the information analysis module marks the transaction times, the transaction total amount, the overdue times and the overdue total amount as JC, JZ, YC and YZ respectively;
by the formula
Acquiring a credit rating evaluation coefficient XDPX; wherein e is a natural constant, α 1, α 2 and α 3 are preset proportionality coefficients, and α 1, α 2 and α 3 are real numbers greater than 0;
setting a plurality of membership grades and marking the membership grades as Di, i as 1, 2, … …, m; each member grade corresponds to a preset credit evaluation coefficient range and is respectively (D1, D2], (D2, D3], … …, (Di, Di + 1) in sequence, wherein D1 is a real number larger than 0;
when the credit rating evaluation coefficient XDPX meets the XDPX epsilon (Di, Di + 1), setting the user rating corresponding to the credit rating evaluation coefficient as Di;
when the credit rating evaluation coefficient XDPX meets the XDPX epsilon (0, D1), setting the user corresponding to the credit rating evaluation coefficient as a blacklist user;
and sending the credit rating evaluation coefficient, the user rating summary table and the blacklist summary table to a data storage module for storage through the cloud platform.
Further, the data storage module detects the file in the data storage module at regular time, and the method comprises the following steps:
calculating a digital abstract of a file in a data storage module by a Hash algorithm;
counting the proportion of the number of the digital abstracts to the total number of the files, which is different from the comparison result of the digital abstracts and the digital abstracts database, and marking the proportion as E; the digital abstract database is stored in the data storage module;
carrying out opening speed test on files in the data storage module, and marking the average value of the opening speed as
By the formula
Acquiring a virus threat coefficient B; wherein epsilon 1 and epsilon 2 are preset proportionality coefficients, and the real numbers of epsilon 1 and epsilon 2 are both larger than 0;
when the virus threat coefficient 0< B > J1, judging that the file is not attacked by the virus, and sending a green safety signal to the background management module through the processor; and when the virus threat coefficient J1 is less than B, judging that the file is attacked by the virus, closing the reading authority of the data storage module through the cloud platform, and simultaneously sending a virus attack signal to the background management module through the cloud platform.
The above formulas are all calculated by removing dimensions and taking values thereof, the formula is one closest to the real situation obtained by collecting a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The working principle of the invention is as follows:
obtaining order information through a payment terminal and obtaining a commodity evaluation coefficient SPX according to the order information; acquiring a user level Di of a user corresponding to the order through a user level summary table; when the user corresponding to the order does not inquire the user level in the user level summary table, inquiring the user corresponding to the order in the blacklist summary table and marking the inquiry result as HCJ; acquiring an order evaluation coefficient DDPX; performing descending order arrangement on the order evaluation coefficient DDPX, and generating an order processing sequence table;
acquiring a temperature value WD of a payment verification module processor in real time; acquiring the working frequency GP of a payment verification module processor in real time; acquiring the resource occupancy rate ZZL of the payment verification module processor in real time; acquiring a processor overload coefficient CGX; when the processor overload coefficient CGX meets the condition that the CGX is larger than or equal to L1, judging that the payment verification module processor is overloaded, sending the order processing sequence list to the cloud platform, and after receiving the order processing sequence list, the cloud platform carries out payment verification on the order according to the order processing sequence list; when the processor overload coefficient CGX meets 0< CGX < L1, judging that the payment verification module processor is not overloaded, and sequentially performing payment verification on orders by the payment verification module according to an order processing sequence table;
acquiring payment information through a payment terminal; acquiring the input time STj of each character in the payment password; inputting time differences CTj of adjacent characters; acquiring the total time ZS for inputting a payment password by a user; when the input time STj meets the condition of | STj | > L2, judging that the input of the payment password is invalid, and sending a payment password invalid signal to the payment terminal; when the input time STj meets the condition that the absolute value of STj is less than or equal to L2, the next step is carried out; when the total time length ZS meets ZS > L3, judging that the input of the payment password is overtime, and sending a payment password input overtime signal to the payment terminal; when the total time length ZS meets the condition that ZS is not more than L3, judging that the input of the payment password is successful, carrying out the next step, and marking the payment password as the password to be verified; acquiring a payment password preset by a user name through a data storage module and marking the payment password as a standard password; matching the password to be verified with the standard password, and when the password to be verified is successfully matched with the standard password, successfully verifying the payment; and when the password to be verified is unsuccessfully matched with the standard password, sending a payment password error signal to the payment terminal.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (7)
1. A payment system based on cloud computing electronic commerce is characterized by comprising a cloud platform, a data storage module, a background management module, a payment verification module, a credit analysis module, a resource analysis module and at least one payment terminal;
the cloud platform is respectively in linear connection with the data storage module, the background management module, the credit analysis module and the resource analysis module; the payment terminal is respectively connected with the payment verification module and the data storage module; the payment verification module is respectively connected with the payment terminal and the cloud platform;
the credit analysis module is used for analyzing the user transaction information and acquiring a summary table; the summary table comprises a user level summary table and a blacklist summary table;
the resource analysis module is used for analyzing the processing capacity of the payment verification module;
the payment terminal is used for acquiring order information and generating an order processing sequence list according to the order information; the cloud platform and the payment verification module sequentially carry out payment verification on the orders according to the order processing sequence table;
and the background management module is used for monitoring the state of the system and performing early warning maintenance.
2. The cloud-computing-based e-commerce payment system as claimed in claim 1, wherein the payment verification specifically comprises:
acquiring payment information through a payment terminal; the payment information comprises a user name and a payment password;
acquiring the input time of each character in the payment password, and marking the input time as STj, j as 1, 2, … …, n; the input time difference of adjacent characters is labeled CTj; acquiring the total time length of the payment password input by the user and marking the total time length as ZS;
when the input time STj meets the condition of | STj | > L2, judging that the input of the payment password is invalid, and sending a payment password invalid signal to the payment terminal; when the input time STj meets the condition that the absolute value of STj is less than or equal to L2, the next step is carried out; wherein L2 is a preset input time threshold;
when the total time length ZS meets ZS > L3, judging that the input of the payment password is overtime, and sending a payment password input overtime signal to the payment terminal; when the total time length ZS meets the condition that ZS is not more than L3, judging that the input of the payment password is successful, carrying out the next step, and marking the payment password as the password to be verified; wherein L3 is a preset total duration threshold;
acquiring a payment password preset by a user name through a data storage module and marking the payment password as a standard password;
matching the password to be verified with the standard password, and when the password to be verified is successfully matched with the standard password, successfully verifying the payment; when the password to be verified is unsuccessfully matched with the standard password, a payment password error signal is sent to the payment terminal;
and sending the payment password invalid signal sending record, the payment password input overtime signal sending record and the payment password error signal sending record to the data storage module for storage.
3. The cloud-computing-based e-commerce payment system of claim 1, wherein the payment terminal is configured to obtain order information and generate an order processing order list, and the order processing order list comprises:
obtaining order information through a payment terminal and obtaining a commodity evaluation coefficient SPX according to the order information; the order information is a plurality of orders at the same time;
acquiring a user level Di of a user corresponding to the order through a user level summary table; when the user corresponding to the order does not inquire the user level in the user level summary table, inquiring the user corresponding to the order in the blacklist summary table and marking the inquiry result as HCJ;
by the formula
Acquiring an order evaluation coefficient DDPX; wherein gamma 1 is a preset proportionality coefficient, and gamma 1 is a real number greater than 0;
performing descending order arrangement on the order evaluation coefficient DDPX, and generating an order processing sequence table;
and sending the order processing sequence table to a data storage module for storage, and sending the order processing sequence table to a payment verification module.
4. The payment system based on the cloud computing e-commerce of claim 3, wherein the query result HCJ takes values of 0 and 1, and when HCJ is 1, it is determined that the user corresponding to the order is queried in the blacklist summary table, and a user exception signal is sent to the payment terminal; when the HCJ is 0, judging that the user corresponding to the order is not inquired in the blacklist summary table; and sending the user abnormal signal sending record to a data storage module for storage.
5. The payment system for electronic commerce based on cloud computing as claimed in claim 3, wherein the specific step of obtaining the commodity evaluation coefficient SPX comprises:
acquiring commodity information in an order; the commodity information comprises commodity inventory, commodity sales and commodity sales total, and is stored in the data storage module;
marking the commodity stock, the commodity sales volume and the commodity sales total as SKL, SX and SXZ respectively;
by the formula
Acquiring a commodity evaluation coefficient SPX; wherein β 1, β 2 and β 3 are preset proportionality coefficients, and β 1, β 2 and β 3 are real numbers greater than 0, and e is a natural constant;
and sending the commodity evaluation coefficient to a data storage module for storage through the cloud platform.
6. The cloud-computing-based e-commerce payment system of claim 1, wherein the resource analysis module is configured to analyze the processing capability of the payment verification module and comprises:
acquiring a temperature value of a payment verification module processor in real time, and marking the temperature value as WD;
acquiring the working frequency of a payment verification module processor in real time, and marking the working frequency as GP;
acquiring the resource occupancy rate of a payment verification module processor in real time, and marking the resource occupancy rate as ZZL;
by the formula
Acquiring a processor overload coefficient CGX; wherein δ 1 and δ 2 are preset proportionality coefficients, and δ 1 and δ 2 are real numbers greater than 0, and YGP is a dominant frequency of the payment verification module processor;
when the processor overload coefficient CGX meets the condition that the CGX is larger than or equal to L1, judging that the payment verification module processor is overloaded, sending the order processing sequence list to the cloud platform, and after receiving the order processing sequence list, the cloud platform carries out payment verification on the order according to the order processing sequence list; when the processor overload coefficient CGX meets 0< CGX < L1, judging that the payment verification module processor is not overloaded, and sequentially performing payment verification on orders by the payment verification module according to an order processing sequence table; wherein L1 is a preset processor overload factor threshold;
and sending the temperature value, the working frequency, the resource occupancy rate and the processor overload coefficient to a data storage module for storage through the cloud platform.
7. The cloud-based e-commerce payment system of claim 1, wherein the credit analysis module is configured to analyze the transaction information of the user and obtain the credit rating of the user, and comprises:
the method comprises the steps that user transaction information stored in a data storage module is obtained through a cloud platform and sent to an information analysis module; the user transaction information comprises transaction times, transaction total amount, overdue times and overdue total amount of the user within preset time;
after receiving the user transaction information, the information analysis module marks the transaction times, the transaction total amount, the overdue times and the overdue total amount as JC, JZ, YC and YZ respectively;
by the formula
Acquiring a credit rating evaluation coefficient XDPX; wherein e is a natural constant, α 1, α 2 and α 3 are preset proportionality coefficients, and α 1, α 2 and α 3 are real numbers greater than 0;
setting a plurality of membership grades and marking the membership grades as Di, i as 1, 2, … …, m; each member grade corresponds to a preset credit evaluation coefficient range and is respectively (D1, D2], (D2, D3], … …, (Di, Di + 1) in sequence, wherein D1 is a real number larger than 0;
when the credit rating evaluation coefficient XDPX meets the XDPX epsilon (Di, Di + 1), setting the user rating corresponding to the credit rating evaluation coefficient as Di;
when the credit rating evaluation coefficient XDPX meets the XDPX epsilon (0, D1), setting the user corresponding to the credit rating evaluation coefficient as a blacklist user;
and sending the credit rating evaluation coefficient, the user rating summary table and the blacklist summary table to a data storage module for storage through the cloud platform.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113052579A (en) * | 2021-04-23 | 2021-06-29 | 深圳市亚飞电子商务有限公司 | Payment method and system of mobile payment platform |
| CN113205326A (en) * | 2021-05-31 | 2021-08-03 | 深圳市聚商鼎力网络技术有限公司 | Order account payment system applied to electronic commerce and use method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113052579A (en) * | 2021-04-23 | 2021-06-29 | 深圳市亚飞电子商务有限公司 | Payment method and system of mobile payment platform |
| CN113205326A (en) * | 2021-05-31 | 2021-08-03 | 深圳市聚商鼎力网络技术有限公司 | Order account payment system applied to electronic commerce and use method thereof |
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