A financial analysis management platform and management method thereof

Abstract

The present invention provides a financial analysis management platform and a management method thereof, comprising: a publishing module, used for publishing a target application to a target platform through a publisher; a transaction module, used for a target buyer to purchase the target application through the target platform; an analysis module, used for obtaining the first identity information of the publisher and the second identity information of the target buyer, and determining the application identifier of the target application, and at the same time, analyzing the first identity information, the second identity information and the application identifier of the target application to determine the transaction result. When the application is published by the publisher and the target buyer purchases the application, the efficiency of the financial transaction between the buyer and the seller is improved by analyzing the identity information and the application of the buyer and the seller.

Description

Technical Field

[0001] The present invention relates to the field of financial transaction technology, and in particular to a financial analysis management platform and a management method thereof. Background Art

[0002] At present, online transactions are becoming more and more popular among the public. Online transactions need to be conducted through a certain trading platform, which enables sellers and buyers to effectively understand the transaction information of both parties and realize fund transfer through the trading platform;

[0003] However, although online transactions can provide great convenience, most financial platforms are currently slow in reviewing transaction funds when conducting financial transactions, resulting in the funds not arriving in the accounts of the transaction parties in a timely manner, thereby greatly reducing the efficiency of financial transactions. Therefore, in order to improve the efficiency of financial transactions between buyers and sellers, the present invention provides a financial analysis management platform and a management method thereof. Summary of the invention

[0004] The present invention provides a financial analysis management platform and a management method thereof, which are used to analyze the identity information and application programs of both parties when a publisher publishes an application program and a target buyer purchases the application program, thereby improving the efficiency of financial transactions between the two parties.

[0005] A financial analysis management platform, comprising:

[0006] A publishing module, used to publish the target application to the target platform through a publisher;

[0007] A transaction module, used for allowing a target purchaser to purchase the target application through the target platform;

[0008] The analysis module is used to obtain the first identity information of the publisher and the second identity information of the target buyer, and determine the application identifier of the target application. At the same time, the first identity information, the second identity information and the application identifier of the target application are analyzed to determine the transaction result.

[0009] Preferably, in a financial analysis management platform, in the analysis module, the transaction result includes: the payment amount of the target buyer and whether the transaction between the target buyer and the publisher is successful.

[0010] Preferably, in a financial analysis management platform, the publishing module comprises:

[0011] A registration unit, configured to log in and register based on the publisher scanning the target QR code;

[0012] The image repository login unit is used to obtain the image repository address based on the first command and enter the preset user name and account password to log in

[0013] An image operation unit, used to change the image label according to the second command and determine the target image;

[0014] The image uploading unit is used to upload the target image based on the third command, and after the upload is successful, perform image viewing in the target platform to determine to upload the target application to the target platform.

[0015] Preferably, in a financial analysis management platform, the publishing module further includes:

[0016] A program reading unit, used to read the program information of the target application and determine the application function of the target application;

[0017] a classification unit, configured to send the application function of the target application to a preset application function library for matching, and determine the function type of the target application based on the matching result;

[0018] The numbering unit is used to determine the total number of applications corresponding to the functional type in the current target platform based on the functional type of the target application, and to number the target application based on the total number of applications corresponding to the functional type.

[0019] Preferably, in a financial analysis management platform, the publishing module comprises:

[0020] A receiving unit, configured to receive the target application and determine attribute information of the target application;

[0021] A security detection unit, used to read the attribute information of the target application, determine the attribute data of the target application, and match the attribute data with a preset data security detection standard to determine whether the target application is a qualified application;

[0022] Wherein, when the attribute data matches the preset data security detection standard, the target application is determined to be a qualified application;

[0023] Otherwise, the target application is determined to be an unqualified application;

[0024] The uploading unit is used to upload and upload the qualified application to the target platform.

[0025] Preferably, in a financial analysis management platform, the transaction module comprises:

[0026] An instruction acquisition unit, used to determine a search instruction for the target application based on the needs of the target purchaser;

[0027] An instruction reading unit, configured to read the search instruction, determine an instruction keyword of the search instruction based on the reading result, and determine requirement data of the search instruction based on the instruction keyword;

[0028] A matching unit, configured to identify the target data, determine a data identifier of the required data, and match the data identifier in a preset program library to determine a source identifier that is consistent with the data identifier;

[0029] a target application data determining unit, configured to determine the target application data in the preset program library based on the source identifier, wherein the identifier of the target application data is the source identifier, and the target application data corresponds to the demand data one by one;

[0030] An agreement generating unit, configured to determine an agreement type according to a data identifier of the demand data and a source identifier of the target application data, and determine agreement content based on a correspondence between the target data and the source data, and generate a transaction agreement between the target purchaser and the publisher for purchasing the target application according to the agreement type and the agreement content;

[0031] a sending unit, configured to send a purchase condition for purchasing the target application to the target purchaser through the target platform based on the transaction agreement, and at the same time, send a purchase request for purchasing the target application to the publisher through the target platform based on the transaction agreement;

[0032] The transaction unit is used for the target purchaser to purchase the target application through the target platform when the target purchaser passes the purchase condition and the publisher accepts the purchase request.

[0033] Preferably, in a financial analysis management platform, the sending unit further includes:

[0034] A protocol reading unit, configured to read the transaction protocol and determine the information content of the transaction protocol based on the reading result;

[0035] A keyword extraction unit, used to extract keywords of the information content according to a preset message structure;

[0036] A table establishment unit, used for acquiring the first characteristic of the publisher and the second characteristic of the target buyer, and establishing a protocol table according to the first characteristic and the second characteristic as table headers;

[0037] a division unit, configured to divide the keywords of the information content based on the protocol table and according to the first feature and the second feature, and fill them in the protocol table respectively;

[0038] a table reading unit, configured to read the agreement table, and generate the purchase condition according to the first feature and the keywords belonging to the first feature, and generate the purchase request according to the second feature and the keywords belonging to the second feature;

[0039] a detection unit, configured to perform a first security detection on the purchase condition according to a first preset rule, and at the same time, perform a second security detection on the purchase request according to a second preset rule;

[0040] An uploading unit is used to upload the purchase condition and the purchase request to the target platform simultaneously when the first security check passes the first preset rule and the second security check passes the second preset rule.

[0041] Preferably, in a financial analysis management platform, the analysis module comprises:

[0042] A request acquisition unit, configured to generate an order acquisition request after the target purchaser determines the target application,

[0043] A request detection unit, used to obtain preset detection request sample data, and train and learn the preset detection request sample data to generate a request detection model, and at the same time, input the order acquisition request into the request detection model, obtain an output result, and determine the request feature of the order acquisition request according to the output result;

[0044] The request detection unit is further used to match the request feature with a request feature in a pre-stored request feature library to determine whether the order acquisition request is safe, wherein the request feature library contains multiple request features;

[0045] A first judgment unit, configured to judge that the order acquisition request is safe when the request feature matches the request feature in the pre-stored request feature library;

[0046] Otherwise, determining that the order acquisition request is not safe;

[0047] An order acquisition unit, configured to determine the purchase data of the target purchaser according to the order acquisition request when the order acquisition request is safe, and fill the purchase data into a preset order template to generate a target order;

[0048] An order reading unit, used for sending the target order to the target buyer terminal for reading, determining the second identity information of the target buyer, and at the same time, the target buyer verifies the second identity information;

[0049] a transaction relationship confirmation unit, configured to extract the first identity information of the publisher and analyze the first identity information and the second identity information to determine the transaction relationship between the target buyer and the publisher when the target buyer successfully verifies the second identity information;

[0050] The order reading unit is further used to determine the program identifier of the target application based on the target order;

[0051] A transaction information acquisition unit, used to determine the direction of fund flow for purchasing the target application based on the transaction relationship, and at the same time, determine the transaction amount of the target application based on the program identifier;

[0052] A second judgment unit is used to compare the fund flow direction with a preset fund flow direction, and at the same time, compare the transaction amount with a target transaction amount to determine whether the purchase of the target application meets the transaction standard;

[0053] Wherein, when the fund flow direction is inconsistent with the preset fund flow direction, it is determined that the purchase of the target application does not meet the transaction standard;

[0054] When the transaction amount is different from the target transaction amount, it is determined that the purchase of the target application does not meet the transaction standard;

[0055] When the capital flow direction is consistent with the preset capital flow direction, and the transaction amount is the same as the target transaction amount, it is determined that the purchase of the target application meets the transaction criteria;

[0056] A payment unit is used for, when the purchase of the target application meets the transaction standard, the target purchaser pays the target transaction amount to the publisher account through the payment terminal based on the funds flow direction.

[0057] Preferably, in a financial analysis management platform, the analysis module further comprises:

[0058] An audit unit, used to detect whether the publisher's account has been successfully credited after the target buyer has paid successfully;

[0059] The audit unit is further configured to automatically send the target application to the target purchaser terminal through the target platform when the publisher account is successfully credited, and to send the installation package of the target application and the installation and deployment process of the target application to the target purchaser terminal;

[0060] The terminating unit is used to terminate sending the installation package of the target application to the target purchaser when the publisher account has not been successfully credited.

[0061] A financial analysis management method, comprising:

[0062] Step 1: Publish the target application to the target platform through the publisher;

[0063] Step 2: Purchasing the target application through the target platform based on the target purchaser;

[0064] Step 3: Obtain the first identity information of the publisher and the second identity information of the target buyer, and determine the application identifier of the target application. At the same time, analyze the first identity information, the second identity information and the application identifier of the target application to determine the transaction result.

[0065] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0066] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0068] Figure 1 A system diagram of a financial analysis management platform in an embodiment of the present invention;

[0069] Figure 2 This is a system diagram of a publishing module in a financial analysis management platform in an embodiment of the present invention;

[0070] Figure 3 The present invention is a flowchart of a financial analysis management method in an embodiment of the present invention. DETAILED DESCRIPTION

[0071] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0072] Embodiment 1:

[0073] This embodiment provides a financial analysis management platform, such as Figure 1 As shown, including:

[0074] A publishing module, used to publish the target application to the target platform through a publisher;

[0075] A transaction module, used for allowing a target purchaser to purchase the target application through the target platform;

[0076] The analysis module is used to obtain the first identity information of the publisher and the second identity information of the target buyer, and determine the application identifier of the target application. At the same time, the first identity information, the second identity information and the application identifier of the target application are analyzed to determine the transaction result.

[0077] In this embodiment, the target platform may be a financial analysis management platform.

[0078] In this embodiment, the target application can be purchased by the target purchaser through WeChat payment, and the publisher can achieve it by reflecting it to WeChat.

[0079] In this embodiment, the first identity information may be the publisher's nickname, an account number in the platform, etc., and the second identity information may be the target buyer's nickname, an account number in the platform, contact information, etc.

[0080] In this embodiment, the application identifier of the target application may be an identifier that represents the target application, such as a serial number of the target application.

[0081] In this embodiment, the transaction result includes: the payment amount of the target buyer and whether the transaction between the target buyer and the publisher is successful.

[0082] The beneficial effect of the above technical solution is that when a publisher publishes an application and a target buyer purchases the application, the efficiency of financial transactions between the buyer and the seller is improved by analyzing the identity information and the application of the buyer and the seller.

[0083] Embodiment 2:

[0084] Based on Example 1, this example provides a financial analysis management platform, such as Figure 2 As shown, the publishing module includes:

[0085] A registration unit, configured to log in and register based on the publisher scanning the target QR code;

[0086] The image repository login unit is used to obtain the image repository address based on the first command and enter the preset user name and account password to log in

[0087] An image operation unit, used to change the image label according to the second command and determine the target image;

[0088] The image uploading unit is used to upload the target image based on the third command, and after the upload is successful, perform image viewing in the target platform to determine to upload the target application to the target platform.

[0089] In this embodiment, the first command is used to obtain the address of the image repository, which may be docker loginhttps: / / harbor.sspass.net.

[0090] In this embodiment, the preset user name may be: dk497, and the account password may be LBVvyw130.

[0091] In this embodiment, the second command is used to change the image tag, for example: docker tag mysql:latestharbor.sspaas.net / dk497 / mysql:8.0.

[0092] In this embodiment, the third command is used to upload the target image, for example, it may be: docker pushharbor.sspaas.net / dk497 / mysql:8.0.

[0093] The beneficial effect of the above technical solution is that the target image can be accurately uploaded to the target platform through the first command, the second command and the third command, thereby achieving precise management of the publisher uploading the target application.

[0094] Embodiment 3:

[0095] Based on Example 1, this embodiment provides a financial analysis management platform, wherein the publishing module further includes:

[0096] A program reading unit, used to read the program information of the target application and determine the application function of the target application;

[0097] a classification unit, configured to send the application function of the target application to a preset application function library for matching, and determine the function type of the target application based on the matching result;

[0098] The numbering unit is used to determine the total number of applications corresponding to the functional type in the current target platform based on the functional type of the target application, and to number the target application based on the total number of applications corresponding to the functional type.

[0099] In this embodiment, the program information is used to determine the properties of the target reference program, for example, the program version of the target application, the type and function of the target application, etc.

[0100] In this embodiment, the preset application function library covers all application types in the target platform, so the application functions of the target application program can be matched with the preset application function library to determine the function type of the target application program.

[0101] The beneficial effect of the above technical solution is: by determining the total number of target applications in the target platform that are consistent with the target application type, the target applications are numbered, and then the target applications are managed, thereby improving the accuracy of purchasing the target applications.

[0102] Embodiment 4:

[0103] Based on Example 1, this embodiment provides a financial analysis management platform, wherein the publishing module includes:

[0104] A receiving unit, configured to receive the target application and determine attribute information of the target application;

[0105] A security detection unit, used to read the attribute information of the target application, determine the attribute data of the target application, and match the attribute data with a preset data security detection standard to determine whether the target application is a qualified application;

[0106] Wherein, when the attribute data matches the preset data security detection standard, the target application is determined to be a qualified application;

[0107] Otherwise, the target application is determined to be an unqualified application;

[0108] The uploading unit is used to upload and upload the qualified application to the target platform.

[0109] In this embodiment, the attribute information is used to indicate the type of the target application program and the extent of the target application program.

[0110] In this embodiment, the attribute data may be attribute information converted into a corresponding data format.

[0111] In this embodiment, the preset data security detection standard is set in advance and is used to perform a conformity detection on the attribute data of the target application.

[0112] The beneficial effect of the above technical solution is: by obtaining the attribute data of the target application and analyzing the attribute data through a preset detection method, it is ensured that the target application is a qualified application, thereby improving the efficiency of transactions between buyers and sellers.

[0113] Embodiment 5:

[0114] Based on Example 1, this embodiment provides a financial analysis management platform, wherein the transaction module includes:

[0115] An instruction acquisition unit, used to determine a search instruction for the target application based on the needs of the target purchaser;

[0116] An instruction reading unit, configured to read the search instruction, determine an instruction keyword of the search instruction based on the reading result, and determine requirement data of the search instruction based on the instruction keyword;

[0117] A matching unit, configured to identify the demand data, determine a data identifier of the demand data, and match the data identifier in a preset program library to determine a source identifier that is consistent with the data identifier;

[0118] a target application data determining unit, configured to determine the target application data in the preset program library based on the source identifier, wherein the identifier of the target application data is the source identifier, and the target application data corresponds to the demand data one by one;

[0119] An agreement generating unit, configured to determine an agreement type according to a data identifier of the demand data and a source identifier of the target application data, and determine agreement content based on a correspondence between the target data and the source data, and generate a transaction agreement between the target purchaser and the publisher for purchasing the target application according to the agreement type and the agreement content;

[0120] a sending unit, configured to send a purchase condition for purchasing the target application to the target purchaser through the target platform based on the transaction agreement, and at the same time, send a purchase request for purchasing the target application to the publisher through the target platform based on the transaction agreement;

[0121] The transaction unit is used for the target purchaser to purchase the target application through the target platform when the target purchaser passes the purchase condition and the publisher accepts the purchase request.

[0122] In this embodiment, the search instruction may be an instruction through which a corresponding target application can be found in the platform.

[0123] In this embodiment, the instruction keyword may be a data segment or word in the search instruction that can indicate the target of the search instruction.

[0124] In this embodiment, the data representation may be a data label used to mark different data.

[0125] In this embodiment, the preset program library is pre-set and stores installation packages of various application programs.

[0126] In this embodiment, the source identifier is a label for marking different application programs in the preset program library.

[0127] In this embodiment, the agreement type may be a transaction method reached between the buyer and the seller when purchasing the target application.

[0128] In this embodiment, the transaction agreement may be a document recording the name of the target application program to be purchased, the transaction amount, etc., agreed upon between the buyer and the seller.

[0129] In this embodiment, the purchase condition refers to the publisher's requirements for the buyer when purchasing the target application, such as full payment or other requirements.

[0130] The beneficial effects of the above technical solution are: by obtaining the purchase needs of the buyer and accurately determining the corresponding program of the buyer based on the purchase needs of the buyer, and at the same time determining the purchase agreement between the buyer and the publisher, constraints on both parties are implemented, which provides convenience for ensuring the accuracy of the transaction, and also improves the efficient and rapid analysis of the buyer's needs, thereby improving the transaction efficiency of both parties.

[0131] Embodiment 6:

[0132] Based on Example 5, this embodiment provides a financial analysis management platform, wherein the sending unit further includes:

[0133] A protocol reading unit, configured to read the transaction protocol and determine the information content of the transaction protocol based on the reading result;

[0134] A keyword extraction unit, used to extract keywords of the information content according to a preset message structure;

[0135] A table establishment unit, used for acquiring the first characteristic of the publisher and the second characteristic of the target buyer, and establishing a protocol table according to the first characteristic and the second characteristic as table headers;

[0136] a division unit, configured to divide the keywords of the information content based on the protocol table and according to the first feature and the second feature, and fill them in the protocol table respectively;

[0137] a table reading unit, configured to read the agreement table, and generate the purchase condition according to the first feature and the keywords belonging to the first feature, and generate the purchase request according to the second feature and the keywords belonging to the second feature;

[0138] a detection unit, configured to perform a first security detection on the purchase condition according to a first preset rule, and at the same time, perform a second security detection on the purchase request according to a second preset rule;

[0139] An uploading unit is used to upload the purchase condition and the purchase request to the target platform simultaneously when the first security check passes the first preset rule and the second security check passes the second preset rule.

[0140] In this embodiment, the preset message structure is set in advance, so as to facilitate the extraction of corresponding transaction content keywords according to the structure of the transaction content, wherein the keywords may be the transaction amount, etc.

[0141] In this embodiment, the first feature is data indicating the identity information of the publisher, such as name.

[0142] In this embodiment, the second feature is used to indicate the data of the buyer's identity information, such as name.

[0143] In this embodiment, the first preset rule is set in advance and is used to perform a safety check on the purchase conditions to ensure that the purchase conditions of the purchaser meet the requirements.

[0144] In this embodiment, the second preset rule is set in advance and is used to continue the security check on the purchase request.

[0145] The beneficial effect of the above technical solution is: by verifying the purchase conditions and purchase requests of the buyer, it is easy to ensure that the buyer meets the publisher's requirements for the target buyer to purchase the target application, thereby improving the rigor of the transaction between the buyer and the seller, and also improving the efficiency of the transaction.

[0146] Embodiment 7:

[0147] Based on Example 1, this example provides a financial analysis management platform, wherein the analysis module includes:

[0148] A request acquisition unit, configured to generate an order acquisition request after the target purchaser determines the target application,

[0149] A request detection unit, used to obtain preset detection request sample data, and train and learn the preset detection request sample data to generate a request detection model, and at the same time, input the order acquisition request into the request detection model, obtain an output result, and determine the request feature of the order acquisition request according to the output result;

[0150] The request detection unit is further used to match the request feature with a request feature in a pre-stored request feature library to determine whether the order acquisition request is safe, wherein the request feature library contains multiple request features;

[0151] A first judgment unit, configured to judge that the order acquisition request is safe when the request feature matches the request feature in the pre-stored request feature library;

[0152] Otherwise, determining that the order acquisition request is not safe;

[0153] An order acquisition unit, configured to determine the purchase data of the target purchaser according to the order acquisition request when the order acquisition request is safe, and fill the purchase data into a preset order template to generate a target order;

[0154] An order reading unit, used for sending the target order to the target buyer terminal for reading, determining the second identity information of the target buyer, and at the same time, the target buyer verifies the second identity information;

[0155] a transaction relationship confirmation unit, configured to extract the first identity information of the publisher and analyze the first identity information and the second identity information to determine the transaction relationship between the target buyer and the publisher when the target buyer successfully verifies the second identity information;

[0156] The order reading unit is further used to determine the program identifier of the target application based on the target order;

[0157] A transaction information acquisition unit, used to determine the direction of fund flow for purchasing the target application based on the transaction relationship, and at the same time, determine the transaction amount of the target application based on the program identifier;

[0158] A second judgment unit is used to compare the capital flow direction with a preset capital flow direction, and at the same time, compare the transaction amount with a target transaction amount;

[0159] Wherein, when the fund flow direction is inconsistent with the preset fund flow direction, it is determined that the purchase of the target application does not meet the transaction standard;

[0160] When the transaction amount is different from the target transaction amount, it is determined that the purchase of the target application does not meet the transaction standard;

[0161] When the capital flow direction is consistent with the preset capital flow direction, and the transaction amount is the same as the target transaction amount, it is determined that the purchase of the target application meets the transaction criteria;

[0162] A payment unit is used for, when the purchase of the target application meets the transaction standard, the target purchaser pays the target transaction amount to the publisher account through the payment terminal based on the funds flow direction.

[0163] In this embodiment, the preset detection request sample data is set in advance.

[0164] In this embodiment, the request feature may be a data segment or word that can indicate the purpose or function corresponding to the order acquisition request.

[0165] In this embodiment, the preset order template is set in advance and is used to generate a corresponding purchase order according to the purchase data of the purchaser.

[0166] In this embodiment, the target order may be order data obtained by generating a corresponding table from the purchase data of the purchaser.

[0167] In this embodiment, the transaction relationship is for the buyer and seller to clarify the buyer-seller relationship between them.

[0168] In this embodiment, the program identifier is a label used to mark different application programs, for example, it can be marked with special characters.

[0169] In this embodiment, the preset direction of capital flow is set in advance, which may be from the buyer to the seller.

[0170] In this embodiment, the transaction standard may be a measure of whether the direction of capital flow is consistent with a preset direction of capital flow.

[0171] The beneficial effect of the above technical solution is: by obtaining the purchase request of the buyer, generating a corresponding purchase order based on the purchase data, and sending the purchase order to the buyer for verification, the accuracy of the transaction is improved, and at the same time the flow direction of the transaction funds is determined to ensure that it flows from the buyer to the publisher, thereby improving the accuracy of the transaction and the efficiency of the transaction.

[0172] Embodiment 8:

[0173] Based on Example 7, this embodiment provides a financial analysis management platform, wherein the analysis module further includes:

[0174] An audit unit, used to detect whether the publisher's account has been successfully credited after the target buyer has paid successfully;

[0175] The audit unit is further configured to automatically send the target application to the target purchaser terminal through the target platform when the publisher account is successfully credited, and to send the installation package of the target application and the installation and deployment process of the target application to the target purchaser terminal;

[0176] The terminating unit is used to terminate sending the installation package of the target application to the target purchaser when the publisher account has not been successfully credited.

[0177] The beneficial effect of the above technical solution is: by verifying whether the transaction amount has been received, it is ensured that the publisher receives the transaction funds before sending the target application to the buyer's terminal, thereby achieving the rigor of the transaction and facilitating improving the security of the transaction.

[0178] Embodiment 9:

[0179] This embodiment provides a financial analysis management method, such as Figure 3 As shown, including:

[0180] Step 1: Publish the target application to the target platform through the publisher;

[0181] Step 2: Purchasing the target application through the target platform based on the target purchaser;

[0182] Step 3: Obtain the first identity information of the publisher and the second identity information of the target buyer, and determine the application identifier of the target application. At the same time, analyze the first identity information, the second identity information and the application identifier of the target application to determine the transaction result.

[0183] The beneficial effect of the above technical solution is that when a publisher publishes an application and a target buyer purchases the application, the efficiency of financial transactions between the buyer and the seller is improved by analyzing the identity information and the application of the buyer and the seller.

[0184] Embodiment 10:

[0185] Based on Example 1, the analysis unit further includes:

[0186] Obtaining the transaction rate of the target platform and the transaction amount of the target platform within the preset time period;

[0187] Calculate the operating efficiency of the target platform based on the transaction volume of the target platform within a preset time period and the transaction amount of the target platform within the preset time period;

[0188]

[0189] Wherein, η represents the operation efficiency of the target platform; λ represents the interference factor, and its value range is (0.03, 0.035); m represents the number of successful transactions of the operation platform; M represents the total transaction volume of the operation platform; G represents the total installation volume of the target program; t represents the actual time required for the target purchaser to download and install the target application from the purchase of the target application; V represents the ideal installation speed of the target application; c represents the total number of times the target application fixes vulnerabilities; C represents the total number of times the target application has vulnerabilities, and c≤C;

[0190] Calculating the comprehensive operation value of the target platform based on the operation efficiency of the target platform;

[0191]

[0192] Wherein, Z represents the comprehensive operation value of the target platform; f1 represents the rating value of the target platform by the target customer; f2 represents the rating value of the target platform by the publisher; F represents the average rating value of the target platform by all current users, and all users include: publishers and buyers; δ represents the transaction accident rate occurring in the target platform; φ represents the error factor, and its value range is (0.01, 0.03);

[0193] Comparing the operation comprehensive value of the target platform with a preset operation comprehensive value to determine the operation status of the target platform;

[0194] Wherein, when the operation comprehensive value is greater than the preset operation comprehensive value, it is determined that the operation status of the target platform is good;

[0195] When the operation comprehensive value is equal to the preset operation comprehensive value, it is determined that the operation status of the target platform is normal;

[0196] When the operation comprehensive value is less than the preset operation comprehensive value, it is determined that the operation status of the target platform is poor;

[0197] The platform optimization unit is used to formulate a platform optimization plan based on the difference between the comprehensive operation value and the preset comprehensive operation value when the operating condition of the target platform is poor, and at the same time, optimize the operating condition of the target platform based on the platform optimization plan.

[0198] In this embodiment, the first average score value may be an average comprehensive score value after multiple publishers score the target platform degree.

[0199] In this embodiment, the second average rating value may be an average comprehensive rating value after multiple target buyers rate the target platform.

[0200] In this embodiment, the comprehensive operation value can be a value calculated after the user makes a reasonable evaluation after using the target platform. It is a dimensionless value. The operating status of the target platform can be seen from the high or low value. For example, when the calculated comprehensive operation value is less than the preset value, the operating status of the target platform is poor.

[0201] In this embodiment, the transaction rate may be the number of applications that are successfully installed and traded by users in the total transaction volume.

[0202] In this embodiment, the transaction accident rate may be the proportion of applications that fail in transactions due to unsuccessful installation or unsuccessful payment among all transaction applications.

[0203] In this embodiment, for the formula: When λ=0.034, m=90, M=100, G=20, t=2, V=10.5, c=8, C=10, the value of η is 68.6%.

[0204] In this embodiment, for the formula: When η=68.6%, f1=8, f2=9, F=9, δ=1.2%, M=100, φ=0.02, the value of Z is 0.6.

[0205] The beneficial effect of the above technical solution is: by accurately calculating the operating efficiency of the target platform, the comprehensive operating value of the current target platform can be accurately calculated, and then by comparing the comprehensive operating values ​​of the target platform, the operating status of the current target platform can be clearly understood, thereby improving the management and analysis accuracy of the target platform, which is conducive to improving the transaction efficiency of buyers and sellers.

[0206] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A financial analysis management platform, characterized in that: include: A publishing module, used to publish the target application to the target platform through a publisher; A transaction module, used for allowing a target purchaser to purchase the target application through the target platform; An analysis module, used to obtain the first identity information of the publisher and the second identity information of the target buyer, and determine the application identifier of the target application, and at the same time, analyze the first identity information, the second identity information and the application identifier of the target application to determine the transaction result; The analysis module further includes: Obtaining the transaction rate of the target platform and the transaction amount of the target platform within a preset time period; Calculate the operating efficiency of the target platform based on the transaction volume of the target platform within a preset time period and the transaction amount of the target platform within the preset time period; ； in, Indicates the operational efficiency of the target platform; represents the interference factor, and its value range is (0.03, 0.035); Indicates the number of successful transactions on the target platform; represents the total transaction volume of the target platform; represents the total number of installations of the target application; Indicates the actual time required for the target purchaser to purchase the target application and download and install the target application; represents the desired installation speed for the target application; Indicates the total number of times the target application fixes vulnerabilities; represents the total number of times the target application has had a vulnerability, and ; Calculating the comprehensive operation value of the target platform based on the operation efficiency of the target platform; ； in, Indicates the comprehensive operation value of the target platform; Indicates the rating value of the target platform given by the target buyer; Indicates the rating value of the publisher on the target platform; Indicates the average rating of all current users on the target platform, and all users include: publishers and buyers; Indicates the transaction accident rate occurring in the target platform; Represents the error factor, and its value range is (0.01, 0.03); Comparing the operation comprehensive value of the target platform with a preset operation comprehensive value to determine the operation status of the target platform; Wherein, when the operation comprehensive value is greater than the preset operation comprehensive value, it is determined that the operation status of the target platform is good; When the operation comprehensive value is equal to the preset operation comprehensive value, it is determined that the operation status of the target platform is normal; When the operation comprehensive value is less than the preset operation comprehensive value, it is determined that the operation status of the target platform is poor; The platform optimization unit is used to formulate a platform optimization plan based on the difference between the operation comprehensive value and the preset operation comprehensive value when the operation status of the target platform is poor, and at the same time, optimize the operation status of the target platform based on the platform optimization plan.

2. A financial analysis management platform according to claim 1, characterized in that: In the analysis module, the transaction result includes: the payment amount of the target buyer and whether the transaction between the target buyer and the publisher is successful.

3. A financial analysis management platform according to claim 1, characterized in that: The publishing module comprises: A registration unit, used to log in and register based on the publisher scanning the target QR code; An image repository login unit, used to obtain the image repository address based on the first command, and enter a preset user name and account password to log in; An image operation unit, used to change the image label according to the second command and determine the target image; The image uploading unit is used to upload the target image based on the third command, and after the upload is successful, perform image viewing in the target platform to determine to upload the target application to the target platform.

4. A financial analysis management platform according to claim 1, characterized in that: The publishing module further includes: A program reading unit, used to read the program information of the target application and determine the application function of the target application; a classification unit, configured to send the application function of the target application to a preset application function library for matching, and determine the function type of the target application based on the matching result; The numbering unit is used to determine the total number of applications corresponding to the functional type in the current target platform based on the functional type of the target application, and to number the target application based on the total number of applications corresponding to the functional type.

5. A financial analysis management platform according to claim 1, characterized in that: The publishing module comprises: A receiving unit, configured to receive the target application and determine attribute information of the target application; A security detection unit, used to read the attribute information of the target application, determine the attribute data of the target application, and match the attribute data with a preset data security detection standard to determine whether the target application is a qualified application; Wherein, when the attribute data matches the preset data security detection standard, the target application is determined to be a qualified application; Otherwise, the target application is determined to be an unqualified application; The uploading unit is used to upload and upload the qualified application to the target platform.

6. A financial analysis management platform according to claim 1, characterized in that: The transaction module comprises: An instruction acquisition unit, used to determine a search instruction for the target application based on the needs of the target purchaser; An instruction reading unit, configured to read the search instruction, determine an instruction keyword of the search instruction based on the reading result, and determine requirement data of the search instruction based on the instruction keyword; A matching unit, configured to identify the demand data, determine a data identifier of the demand data, and match the data identifier in a preset program library to determine a source identifier that is consistent with the data identifier; a target application data determining unit, configured to determine the target application data in the preset program library based on the source identifier, wherein the identifier of the target application data is the source identifier, and the target application data corresponds to the demand data one by one; An agreement generating unit, configured to determine an agreement type according to a data identifier of the demand data and a source identifier of the target application data, and determine agreement content based on a correspondence between the target application data and the demand data, and generate a transaction agreement between the target purchaser and the publisher for purchasing the target application according to the agreement type and the agreement content; a sending unit, configured to send a purchase condition for purchasing the target application to the target purchaser through the target platform based on the transaction agreement, and at the same time, send a purchase request for purchasing the target application to the publisher through the target platform based on the transaction agreement; The transaction unit is used for the target purchaser to purchase the target application through the target platform when the target purchaser passes the purchase condition and the publisher accepts the purchase request.

7. A financial analysis management platform according to claim 6, characterized in that: The sending unit further includes: A protocol reading unit, configured to read the transaction protocol and determine the information content of the transaction protocol based on the reading result; A keyword extraction unit, used to extract keywords of the information content according to a preset message structure; A table establishment unit, used for acquiring the first characteristic of the publisher and the second characteristic of the target buyer, and establishing a protocol table according to the first characteristic and the second characteristic as table headers; a division unit, configured to divide the keywords of the information content based on the protocol table and according to the first feature and the second feature, and fill them in the protocol table respectively; a table reading unit, configured to read the agreement table, and generate the purchase condition according to the first feature and the keywords belonging to the first feature, and generate the purchase request according to the second feature and the keywords belonging to the second feature; a detection unit, configured to perform a first security detection on the purchase condition according to a first preset rule, and at the same time, perform a second security detection on the purchase request according to a second preset rule; An uploading unit is used to upload the purchase condition and the purchase request to the target platform simultaneously when the first security check passes the first preset rule and the second security check passes the second preset rule.

8. A financial analysis management platform according to claim 1, characterized in that: The analysis module comprises: A request acquisition unit, configured to generate an order acquisition request after the target purchaser determines the target application, A request detection unit, used to obtain preset detection request sample data, and train and learn the preset detection request sample data to generate a request detection model, and at the same time, input the order acquisition request into the request detection model, obtain an output result, and determine the request feature of the order acquisition request according to the output result; The request detection unit is further used to match the request feature with a request feature in a pre-stored request feature library to determine whether the order acquisition request is safe, wherein the request feature library contains multiple request features; A first judgment unit, configured to judge that the order acquisition request is safe when the request feature matches the request feature in the pre-stored request feature library; Otherwise, determining that the order acquisition request is not safe; An order acquisition unit, configured to determine the purchase data of the target purchaser according to the order acquisition request when the order acquisition request is safe, and fill the purchase data into a preset order template to generate a target order; An order reading unit, used for sending the target order to the target buyer terminal for reading, determining the second identity information of the target buyer, and at the same time, the target buyer verifies the second identity information; a transaction relationship confirmation unit, configured to extract the first identity information of the publisher and analyze the first identity information and the second identity information to determine the transaction relationship between the target buyer and the publisher when the target buyer successfully verifies the second identity information; The order reading unit is further used to determine the program identifier of the target application based on the target order; A transaction information acquisition unit, used to determine the direction of fund flow for purchasing the target application based on the transaction relationship, and at the same time, determine the transaction amount of the target application based on the program identifier; A second judgment unit is used to compare the fund flow direction with a preset fund flow direction, and at the same time, compare the transaction amount with a target transaction amount to determine whether the purchase of the target application meets the transaction criteria; Wherein, when the fund flow direction is inconsistent with the preset fund flow direction, it is determined that the purchase of the target application does not meet the transaction standard; When the transaction amount is different from the target transaction amount, it is determined that the purchase of the target application does not meet the transaction standard; When the capital flow direction is consistent with the preset capital flow direction, and the transaction amount is the same as the target transaction amount, it is determined that the purchase of the target application meets the transaction criteria; A payment unit is used for, when the purchase of the target application meets the transaction standard, the target purchaser pays the target transaction amount to the publisher account through the payment terminal based on the funds flow direction.

9. A financial analysis management platform according to claim 8, characterized in that: The analysis module further includes: An audit unit, used to detect whether the publisher's account has been successfully credited after the target buyer has paid successfully; The audit unit is further configured to automatically send the target application to the target purchaser terminal through the target platform when the publisher account is successfully credited, and to send the installation package of the target application and the installation and deployment process of the target application to the target purchaser terminal; The terminating unit is used to terminate sending the installation package of the target application to the target purchaser when the publisher account has not been successfully credited.

10. A financial analysis management method, characterized in that: include: Step 1: Publish the target application to the target platform through the publisher; Step 2: Purchasing the target application through the target platform based on the target purchaser; Step 3: Obtain the first identity information of the publisher and the second identity information of the target buyer, and determine the application identifier of the target application. At the same time, analyze the first identity information, the second identity information and the application identifier of the target application to determine the transaction result; Step 3 also includes: Obtaining the transaction rate of the target platform and the transaction amount of the target platform within a preset time period; Calculate the operating efficiency of the target platform based on the transaction volume of the target platform within a preset time period and the transaction amount of the target platform within the preset time period; ； in, Indicates the operational efficiency of the target platform; represents the interference factor, and its value range is (0.03, 0.035); Indicates the number of successful transactions on the target platform; represents the total transaction volume of the target platform; represents the total number of installations of the target application; Indicates the actual time required for the target purchaser to purchase the target application and download and install the target application; represents the desired installation speed for the target application; Indicates the total number of times the target application fixes vulnerabilities; represents the total number of times the target application has had a vulnerability, and ; Calculating the comprehensive operation value of the target platform based on the operation efficiency of the target platform; ； in, Indicates the comprehensive operation value of the target platform; Indicates the rating value of the target platform given by the target buyer; Indicates the rating value of the publisher for the target platform; Indicates the average rating of all current users on the target platform, and all users include: publishers and buyers; Indicates the transaction accident rate occurring in the target platform; Represents the error factor, and its value range is (0.01, 0.03); Comparing the operation comprehensive value of the target platform with a preset operation comprehensive value to determine the operation status of the target platform; Wherein, when the operation comprehensive value is greater than the preset operation comprehensive value, it is determined that the operation status of the target platform is good; When the operation comprehensive value is equal to the preset operation comprehensive value, it is determined that the operation status of the target platform is normal; When the operation comprehensive value is less than the preset operation comprehensive value, it is determined that the operation status of the target platform is poor; The platform optimization unit is used to formulate a platform optimization plan based on the difference between the operation comprehensive value and the preset operation comprehensive value when the operation status of the target platform is poor, and at the same time, optimize the operation status of the target platform based on the platform optimization plan.

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