Coin secure transaction platform system and secure transaction method

Abstract

The invention discloses a coin secure transaction platform system and a secure transaction method, and the system comprises a selection module which is used for obtaining a transaction appeal of a buyer, determining a transaction object and a transaction mechanism according to the transaction appeal, and selecting a target transaction coin product according to the transaction object and the transaction mechanism; the evaluation module is used for acquiring transaction price information of the seller for the target transaction coin product and performing confidence reasonable evaluation on the transaction price information; the activation module is used for acquiring transaction willingness of the buyer and the seller according to the evaluation result, determining transaction feasibility based on the transaction willingness, and activating a transaction mode according to the transaction feasibility; and the transaction module is used for carrying out transaction behaviors and violation detection based on system transaction rules through a transaction mode, and carrying out transaction evidence storage after the transaction is finished. The bidding data can be evaluated through a platform model and a precise big data model, so that the fairness of the transaction is ensured, and the security and reliability of the transaction are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of digital transaction technology, in particular to a coin security transaction platform system and a security transaction method. BACKGROUND

[0002] At present, with the development of social economy and the enhancement of cultural heritage protection awareness, coin collection has developed from a small hobby to a large cultural industry. Online coin transaction platform gradually becomes the main channel for collectors and investors to buy and sell coins due to its advantages of breaking geographical restrictions, rich categories, convenient transactions and the like.

[0003] The existing online transaction mode of coins mainly includes the following types: first, the C2C or B2C mode based on the traditional e-commerce platform (such as Taobao and Xianyu), in which the seller publishes the goods in the form of a fixed price or simple auction; second, the vertical field coin transaction website or forum, which provides more professional classification and information publishing services; and third, the online auction platform by referring to the offline auction house. However, these existing technical solutions have many inherent defects and limitations when applied to the special and high-value non-standard product field of coins, mainly manifested in that: the existing platform generally lacks embedded and authoritative technical identification means. The buyer relies heavily on the seller's description and personal experience, and is easily deceived by counterfeit goods. At the same time, due to the lack of reliable data support, disputes over prices between buyers and sellers occur frequently, which seriously affects the completion of transactions and user experience and lacks an effective technical monitoring mechanism to prevent malicious behavior, which destroys the fairness and safety of transactions. SUMMARY

[0004] In view of the above problems, the present application provides a coin security transaction platform system and a security transaction method to solve the problems of the buyer relying heavily on the seller's description and personal experience, being easily deceived by counterfeit goods, and the lack of reliable data support, disputes over prices between buyers and sellers occurring frequently, which seriously affects the completion of transactions and user experience and lacks an effective technical monitoring mechanism to prevent malicious behavior, which destroys the fairness and safety of transactions.

[0005] A coin security transaction platform system, the system comprising: A selection module for obtaining the transaction demand of the buyer, determining the transaction object and the transaction mechanism according to the transaction demand, and selecting the target transaction coin product according to the transaction object and the transaction mechanism; An evaluation module for obtaining the transaction offer information of the target transaction coin product from the seller and performing confidence and reasonableness evaluation on the transaction offer information; An activation module for obtaining the transaction willingness of the buyer and the seller according to the evaluation result, determining the transaction feasibility based on the transaction willingness, and activating the transaction mode according to the transaction feasibility; The transaction module is configured to perform a transaction behavior based on a system transaction rule through a transaction mode and perform a violation detection, and perform a transaction evidence storage after the transaction is completed.

[0006] Preferably, the system further comprises: The registration and login module is configured to provide a software terminal account registration channel and verify a login account of a user. The identity management module is configured to obtain historical transaction information of each login account, determine an identity attribute of each login account according to the historical transaction information, and set an identity tag of each login account. The qualification identification module is configured to obtain historical successful transaction data and a historical successful transaction amount according to the historical transaction information of each login account, and perform a qualification identification on each login account based on the historical successful transaction data and the historical successful transaction amount. The commodity publishing module is configured to obtain to-be-published commodity information of each login account and perform a sensitive audit, and publish the to-be-published commodity information after the audit is successful.

[0007] Preferably, the selection module comprises: The extraction sub-module is configured to obtain a transaction appeal of a buyer through a customer service channel or a post information, perform a data cleaning and an intent recognition on the transaction appeal, and extract a key appeal feature vector. The first determination sub-module is configured to determine a transaction currency type and an expected transaction mode according to the key appeal feature vector, determine a transaction object according to the transaction currency type, obtain historical transaction data of the transaction object, and determine a best transaction mode of the transaction object according to the historical transaction data. The confirmation sub-module is configured to confirm whether the best transaction mode is consistent with the expected transaction mode, and if not, synchronously upload the best transaction mode and the expected transaction mode to a buyer terminal for selection, and determine a transaction mechanism according to a selection result. The selection sub-module is configured to match the transaction object and the transaction mechanism with a money product transaction information of a seller inventory or a listing, and select a target transaction money product with a highest matching degree.

[0008] Preferably, the transaction object comprises at least one of a delisted banknote, a commemorative banknote, a conjoined banknote, a silver ticket, a banknote, a bond, a stamp, a gold and silver coin, a commemorative coin, a coin, a commemorative badge, an ancient coin, a copper coin, a silver dollar, a machine-made coin, a medallion, and a ticket. The transaction mechanism comprises: A bidding and auction mechanism that supports a buyer to bid for a money commodity; A fixed price mechanism that supports a buyer to directly purchase at a fixed price.

[0009] Preferably, before the evaluation module obtains transaction opening price information of the target transaction money product from the seller and performs a confidence and reasonable evaluation on the transaction opening price information, the system is further configured to: acquire multi-angle coin images of the target transaction coin product uploaded by the seller end and perform image enhancement and denoising preprocessing on the multi-angle coin images; construct a three-dimensional model of the target transaction coin product according to the preprocessed multi-angle coin images, and identify the three-dimensional model through a preset coin recognition model; determine the authenticity of the target transaction coin product according to the identification result, determine the transaction feasibility according to the authenticity, and determine whether the product value needs to be evaluated according to the transaction feasibility; If yes, determine the product value of the target transaction coin product by extracting coin features, and adjust the transaction offer information of the target transaction coin product by the seller according to the product value.

[0010] Preferably, the evaluation module comprises: The second determination submodule is configured to acquire the transaction offer information of the target transaction coin product by the seller terminal homepage, and determine the expected value vector of the seller according to the transaction offer information. The aggregation submodule is configured to acquire historical market data and real-time market data of the target transaction coin product, and perform data aggregation on the historical market data and the real-time market data to acquire a benchmark value evaluation vector. The acquisition submodule is configured to compare the benchmark value evaluation vector with the expected value vector to acquire a multi-dimensional deviation index, acquire historical credit data of the seller and appearance data of the target transaction coin product. The third determination submodule is configured to input the multi-dimensional deviation index, the historical credit data of the seller and the appearance data of the target transaction coin product into a preset confidence evaluation model to output an offer confidence score, and determine the confidence rationality of the transaction offer information according to the offer confidence score.

[0011] Preferably, the determination of the product value of the target transaction coin product by extracting coin features and the adjustment of the transaction offer information of the target transaction coin product by the seller according to the product value comprise: extracting coin material texture parameters, coin pattern detail parameters and coin wear detail parameters in the preprocessed multi-angle coin images through a convolutional neural network; determining coin value features according to the coin material texture parameters, the coin pattern detail parameters and the coin wear detail parameters; determining the product value of the target transaction coin product according to the coin value features through a preset coin value evaluation model, and determining a product valuation interval according to the product value; determining adjustment parameters of the transaction offer information of the target transaction coin product according to the product valuation interval and adjusting the transaction offer information based on the adjustment parameters.

[0012] Preferably, the activation module comprises: The generating sub-module is configured to generate a premium evaluation report of the target transaction coin product according to the evaluation result and upload the report to the buyer terminal and the seller terminal respectively; The fourth determining sub-module is configured to obtain a transaction dispute based on the premium evaluation report from the buyer terminal and the seller terminal, and determine transaction willingness of the buyer and the seller according to the transaction dispute; The fifth determining sub-module is configured to determine a transaction prospect and a transaction intention of the buyer according to the transaction willingness, and determine transaction feasibility according to the transaction prospect and the transaction intention of the buyer; The activating sub-module is configured to determine a transaction occurrence probability according to the transaction feasibility, and determine whether the transaction occurrence probability is 100%, and if yes, activate the transaction mode.

[0013] Preferably, the transaction module comprises: The sixth determining sub-module is configured to determine a transaction mode and a transaction behavior operation sequence based on system transaction rules, and determine an expected transaction mode of the buyer; The operation sub-module is configured to perform a transaction process operation according to the expected transaction mode and the transaction behavior operation sequence through the transaction mode, and detect a real-time operation sequence; The seventh determining sub-module is configured to determine an abnormal behavior parameter according to the real-time operation sequence, and determine a violation mode based on the abnormal behavior parameter; The evidence storage sub-module is configured to extract transaction core data, transaction process data and transaction evidence data in a transaction process, perform a serialization processing to generate a transaction evidence data package, and store the data package as evidence.

[0014] A coin security transaction method comprises the following steps: Obtain a transaction demand of a buyer, determine a transaction object and a transaction mechanism according to the transaction demand, and select a target transaction coin product according to the transaction object and the transaction mechanism; Obtain transaction offer information of the target transaction coin product from a seller, and perform a confidence and reasonable evaluation on the transaction offer information; Determine transaction willingness of the buyer and the seller according to the evaluation result, determine transaction feasibility based on the transaction willingness, and activate a transaction mode according to the transaction feasibility; Perform a transaction behavior based on system transaction rules through the transaction mode, and perform a violation detection, and perform a transaction evidence storage after the transaction is completed.

[0015] Other features and advantages of the present application will be further described in the following specification, and some will become apparent from the specification, or will be learned from the practice of the application. The objects and other advantages of the present application will be realized and achieved by the structure particularly pointed out in the written specification and the appended drawings.

[0016] The technical solutions of the present application will be further described in detail below with the help of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings are included to provide a further understanding of the present application, and are incorporated in and constitute a part of the specification. They illustrate embodiments of the present application and, together with the description, serve to explain the principles of the present application.

[0018] Figure 1 A structural schematic diagram of a money security transaction platform system provided by the present application; Figure 2 Another structural schematic diagram of a money security transaction platform system provided by the present application; Figure 3 A structural schematic diagram of a selection module in a money security transaction platform system provided by the present application; Figure 4 A work flow chart of a money security transaction method provided by the present application. DETAILED DESCRIPTION

[0019] The exemplary embodiments will be described in detail herein with reference to the attached drawings. In the following description, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments are not meant to represent all embodiments consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0020] At present, with the development of social economy and the enhancement of cultural heritage protection awareness, coin collection has developed from a small hobby to a large cultural industry. Online coin transaction platform gradually becomes the main channel for collectors and investors to buy and sell coins due to its advantages of breaking geographical restrictions, rich categories, convenient transactions and the like.

[0021] The existing online coin transaction mode mainly includes the following types: first, the C2C or B2C mode based on the traditional e-commerce platform (such as Taobao and Xianyu), in which the seller publishes the goods in the form of a fixed price or simple auction; second, the vertical field coin transaction website or forum, which provides more professional classification and information publishing service; and third, the online auction platform by referring to the offline auction house. However, these existing technical solutions have many inherent defects and limitations when applied to the special and high-value non-standard product field of coins, mainly manifested in that: the existing platforms generally lack embedded and authoritative technical identification means. The buyer relies heavily on the seller's description and personal experience, and is easily deceived by counterfeit goods. At the same time, due to the lack of reliable data support, disputes over prices between buyers and sellers occur frequently, which seriously affects the completion of transactions and user experience and lacks effective technical monitoring mechanism to prevent malicious behavior, which destroys the fairness and safety of transactions. In order to solve the above problems, the present embodiment discloses a coin security transaction platform system.

[0022] A secure currency transaction platform system, such as Figure 1 As shown, the system includes: Module 101 is used to obtain the buyer's transaction requirements, determine the transaction object and transaction mechanism based on the transaction requirements, and select the target transaction currency product based on the transaction object and transaction mechanism. Evaluation module 102 is used to obtain the seller's offer price information for the target currency product and to make a reasonable assessment of the offer price information. Activation module 103 is used to obtain the transaction intentions of both buyers and sellers based on the evaluation results, determine the transaction feasibility based on the transaction intentions, and activate the transaction mode based on the transaction feasibility. The transaction module 104 is used to conduct transaction activities based on the system's transaction rules through the transaction mode and to detect violations. After the transaction is completed, the transaction is stored as evidence.

[0023] In this embodiment, the transaction object refers to the buyer's desired currency object, including but not limited to: silver dollars, banknotes, etc. In this embodiment, the transaction mechanism is referred to as a mechanism for buying and selling transaction objects of the transaction currency; In this embodiment, the transaction mode refers to the exclusive mode of online transactions conducted through the platform's transaction channels; In this embodiment, the system transaction rules are referred to as the attention rules for online transactions defined by the platform system.

[0024] The working principle of the above technical solution is as follows: First, the buyer's transaction requirements are obtained through the selection module. Based on the transaction requirements, the transaction object and transaction mechanism are determined, and the target transaction currency product is selected based on the transaction object and transaction mechanism. Second, the seller's offer price information for the target transaction currency product is obtained through the evaluation module, and the offer price information is evaluated with confidence and reasonableness. Then, based on the evaluation results, the transaction intentions of both the buyer and seller are obtained through the activation module. Based on the transaction intentions, the transaction feasibility is determined, and the transaction mode is activated based on the transaction feasibility. Finally, the transaction module is used to conduct transaction behavior based on the system transaction rules through the transaction mode and to detect violations. After the transaction is completed, the transaction is recorded.

[0025] The beneficial effects of the above technical solution are as follows: By accurately screening coin products and then reasonably evaluating the seller's asking price information, it can accurately screen out the coin products that buyers desire. Furthermore, the platform model uses a precise big data model to evaluate the asking price data, thus ensuring the fairness of the transaction. Further, by detecting violations during the transaction process, malicious transactions can be prevented, ensuring transaction security and reliability. This solves the problem mentioned in existing technologies where buyers heavily rely on seller descriptions and their own experience, making them highly susceptible to counterfeit fraud. At the same time, due to the lack of reliable data support, disputes between buyers and sellers frequently occur, seriously affecting the completion of transactions and user experience. Moreover, the lack of an effective technical monitoring mechanism to prevent malicious behavior undermines the fairness and security of the transaction.

[0026] In one embodiment, such as Figure 2 As shown, the system also includes: The registration and login module 105 is used to provide a channel for software terminal account registration and to verify the user's login account; The identity management module 106 is used to obtain the historical transaction information of each login account, determine the identity attributes of each login account based on the historical transaction information, and set the identity tag of each login account. The qualification assessment module 107 is used to obtain historical successful transaction data and historical successful transaction amount based on the historical transaction information of each logged-in account, and to conduct qualification assessment for each logged-in account based on the historical successful transaction data and historical successful transaction amount. The product publishing module 108 is used to obtain the product information to be published for each logged-in account and conduct sensitive review. After successful review, the product is published.

[0027] In this embodiment, the identity attribute represents the online transaction identity attribute of the owner of each logged-in account, including: buyer and seller.

[0028] The beneficial effects of the above technical solution are as follows: by setting identity tags and qualification verification for each login account, it is possible to accurately locate buyers and sellers and determine the other party's transaction qualifications through the account, thereby improving the screening efficiency and compatibility of buyers and sellers. Furthermore, by setting up a product publishing module, buyers and sellers can publish their transaction needs information in real time for transaction matching, thereby improving the user experience.

[0029] In one embodiment, such as Figure 3 As shown, the selection module 101 includes: The extraction submodule 1011 is used to obtain buyers' transaction requests through customer service channels or posting information, and to perform data cleaning and intent recognition on the transaction requests to extract key request feature vectors. The first determining submodule 1012 is used to determine the type of currency and the expected transaction method based on the key demand feature vector, determine the transaction object based on the type of currency, obtain the historical transaction data of the transaction object, and determine the best transaction method for the transaction object based on the historical transaction data. The confirmation submodule 1013 is used to confirm whether the best transaction method and the desired transaction method are consistent. If not, the best transaction method and the desired transaction method are uploaded to the buyer's terminal for selection, and the transaction mechanism is determined based on the selection result. The selection submodule 1014 is used to match the transaction object and transaction mechanism with the seller's inventory or listed currency product transaction information, and select the target currency product with the highest matching degree.

[0030] The beneficial effects of the above technical solution are as follows: by intelligently recommending transaction methods for buyers to choose from, it can intelligently provide buyers with multiple transaction options, improving the buyer's experience. Furthermore, by accurately determining the transaction object and transaction mechanism for matching currency products, it can accurately match the best currency products, improving matching accuracy and reliability.

[0031] In one embodiment, the trading objects include at least one of the following: delisted banknotes, commemorative banknotes, uncut banknotes, silver notes, banknotes, banknotes issued by dealers, stamps, gold and silver coins, commemorative coins, coins, commemorative medals, ancient coins, copper coins, silver dollars, machine-made coins, badges, and tickets; The transaction mechanism includes: The auction mechanism allows buyers to bid on coins and other commodities. A fixed-price mechanism allows buyers to purchase directly at a fixed price.

[0032] The beneficial effects of the above technical solution are: it can provide buyers with multiple channels to obtain currency products, allowing them to choose their ideal transaction mechanism according to their own preferences or needs, thereby further improving the buyer's experience and participation.

[0033] In one embodiment, before the evaluation module obtains the seller's offer price information for the target currency product and performs a confidence-based assessment of the offer price information, the system is further configured to: Acquire multi-angle images of the target currency product uploaded by the seller and perform image enhancement and noise reduction preprocessing on them; A 3D model of the target coin product is constructed based on the preprocessed multi-angle coin images, and the 3D model is recognized by a preset coin recognition model. The authenticity of the target currency product is determined based on the identification results; the feasibility of the transaction is determined based on the authenticity; and whether the product value needs to be evaluated is determined based on the feasibility. If so, the product value of the target currency product is determined by extracting its characteristics, and the seller's asking price for the target currency product is adjusted based on the product value.

[0034] In this embodiment, the system requires sellers to upload at least three clear images of coins taken at different angles under uniform lighting. Using the structure-on-motion algorithm and open-source tools such as OpenCV library and COLMAP, the system calculates the three-dimensional point cloud data of the coins from these images and then generates a triangular mesh model. In this embodiment, the "preset coin recognition model" is a deep convolutional neural network. Its input is not a direct 3D model, but rather a 2D rendering of the 3D model from multiple standard viewpoints. The network is trained using a dataset containing hundreds of thousands of labeled images of genuine and counterfeit coins. The network structure is based on ResNet-50, with a classification layer connected at its end, ultimately outputting a probability value representing the "authenticity / counterfeit rate." For example, if the authenticity / counterfeit rate is higher than 95%, the coin is determined to be genuine, and the process proceeds to the next step.

[0035] The beneficial effects of the above technical solution are as follows: by using a coin recognition model to identify the authenticity of the target coin product, the authenticity of the target coin product can be effectively assessed, which is more reliable and efficient than assessment by human experience. Furthermore, by assessing the value of the target coin product, it is possible to effectively determine whether the seller's asking price is reasonable and adjust it accordingly, thereby ensuring the fairness and reliability of the transaction and further improving the user experience and practicality.

[0036] In one embodiment, the evaluation module includes: The second determination submodule is used to obtain the seller's offer price information for the target transaction currency product through the seller terminal homepage, and determine the seller's expected value vector based on the offer price information. The aggregation submodule is used to acquire historical and real-time market data of the target trading currency product, and to aggregate the historical and real-time market data to obtain a benchmark value assessment vector. The acquisition submodule is used to compare the benchmark value assessment vector with the expected value vector to obtain multi-dimensional deviation indicators, acquire the seller's historical credit data, and acquire the condition data of the target transaction currency product; The third determination submodule is used to input the multidimensional deviation index, the seller's historical credit data, and the condition data of the target transaction currency product into the pre-set reliability assessment model to output the opening price confidence score, and determine the credibility and reasonableness of the transaction opening price information based on the opening price confidence score.

[0037] The beneficial effects of the above technical solution are as follows: by comprehensively assessing the confidence level based on the condition of the target coin product, the seller's credit level, and the product's own value vector deviation index, the reasonableness and confidence level of the seller's asking price information can be fully assessed, ensuring the objectivity and accuracy of the assessment process. This lays the foundation for subsequent transaction feasibility assessment and further improves practicality.

[0038] In one embodiment, determining the product value of the target traded currency product by extracting currency features, and adjusting the seller's asking price information for the target traded currency product based on the product value, includes: The convolutional neural network is used to extract the coin material texture parameters, coin pattern detail parameters, and coin wear detail parameters from the preprocessed multi-angle coin images. The value characteristics of a coin are determined based on its material texture parameters, pattern detail parameters, and wear detail parameters. The product value of the target trading currency product is determined based on the characteristics of currency value by using a preset currency value assessment model, and the product valuation range is determined based on the product value. Based on the product valuation range, determine the adjustment parameters for the transaction opening price information of the target trading currency product, and adjust the transaction opening price information based on the adjustment parameters.

[0039] In this embodiment, the "preset coin value assessment model" is a gradient boosting regression tree model. The input to this model is the "coin value feature vector" obtained in the previous step, combined with metadata such as the coin's category, version, and year of issue. The model's output is a specific product value. The training data for this model comes from the platform's accumulated historical successful transaction records, where the input features correspond to the coin's image and metadata, and the tags correspond to its final transaction price. By learning from this data, the model establishes a mapping relationship from visual features and market attributes to market price.

[0040] The beneficial effects of the above technical solution are: it enables precise adjustment of the product value of the target trading currency product, thus ensuring the rationality and reliability of the opening price information.

[0041] In this embodiment, the value characteristics of a coin are determined based on coin material texture parameters, coin pattern detail parameters, and coin wear detail parameters, including: The variance of elemental composition in different areas of the coin is determined based on the material texture parameters, and the material uniformity parameters of the target trading coin product are evaluated based on the variance.

[0042] The current pattern is constructed based on the detailed parameters of the coin pattern and then matched with the ideal pattern in the standard template database at multiple scales (rigid / non-rigid). The structural similarity index and feature point matching error are determined based on the registration results. Using image morphology and deep learning models, a high wear distribution map of the target traded currency product is generated based on the wear detail parameters of the currency. Based on the high wear distribution map, the high wear rate and low residual rate are determined, and the wear status of the high-value area of ​​the target trading currency product is determined based on the high wear rate and low residual rate. A random forest regression model was used to train a database containing a large amount of authoritatively authenticated multi-dimensional inferior parameters of coins and their market value. The wear and tear of the high-value area of ​​the target coin product, the structural similarity index, the feature point matching error, and the material uniformity parameter are input into the trained model. Based on the nonlinear contribution of each dimension of inferior parameters to the coin value, a multidimensional value score is output. Based on the multidimensional value score, a corresponding multidimensional value feature vector is generated, and based on the multidimensional value feature vector, the monetary value characteristics of the target trading currency product are determined.

[0043] In this embodiment, the high-point wear rate represents the average wear depth of the highest point of the relief on the target coin product, and the low-point residue rate represents the degree of preservation of the original material in the background area of ​​the target coin product.

[0044] The beneficial effects of the above technical solution are as follows: it realizes an interpretable reverse valuation method for currency value that is oriented towards risk and defects. It accurately quantifies the key negative factors that impair currency value and maps the severity of these negative factors to the final value loss through a model trained on market data. This provides a highly objective, transparent, and auditable risk assessment method for currency trading, collateralization, and insurance, accurately assessing the impact of each risk dimension on value, achieving precise risk pricing of assets, and improving practicality and stability.

[0045] In one embodiment, the activation module includes: The generation submodule is used to generate a premium assessment report for the target transaction currency product based on the assessment results and upload it to the buyer's terminal and the seller's terminal respectively. The fourth sub-module is used to obtain transaction disputes between the buyer's terminal and the seller's terminal based on the premium assessment report, and to determine the transaction intentions of both the buyer and the seller based on the transaction disputes; The fifth determination submodule is used to determine the transaction prospects and the buyer's transaction intentions based on the transaction intentions, and to determine the transaction feasibility based on the transaction prospects and the buyer's transaction intentions. The activation submodule is used to determine the probability of a transaction occurring based on its feasibility. If the probability of a transaction occurring is 100%, the transaction mode is activated.

[0046] The beneficial effects of the above technical solution are as follows: by assessing whether the probability of a transaction occurring is 100% and thus determining whether to activate the transaction mode, the transaction mode can be activated precisely under the premise that it is certain that both parties will transact, thus ensuring the completion of the transaction.

[0047] In one embodiment, the transaction module includes: The sixth determination submodule is used to determine the transaction method and transaction behavior sequence based on the system transaction rules, and to determine the buyer's expected transaction method; The operation submodule is used to perform transaction process operations and detect real-time operation sequences based on the expected transaction method and transaction behavior operation sequence according to the transaction mode. The seventh determination submodule is used to determine abnormal behavior parameters based on the real-time operation sequence, and to determine the violation mode based on the abnormal behavior parameters; The evidence preservation submodule is used to extract core transaction data, transaction process data, and transaction physical evidence data during the transaction process, and perform serialization processing to generate transaction evidence preservation data packages for evidence preservation.

[0048] In this embodiment, the abnormal behavior parameters are defined as follows: The system monitors and records the transaction operation sequence in real time and calculates the following abnormal behavior parameters: Bidding frequency: In a competitive auction, the number of bids placed per unit of time; Bid-Cancel Pattern: The number of times a bid is placed and immediately canceled within a short period of time; Last-minute bidding: Bidding within a specific time window when the auction is about to end (such as the last 2 seconds); Violation pattern recognition: The system has a pre-defined rule base for violation patterns. For example: Rule 1: IF (bid frequency > 10 times / minute) AND (bid-cancel pattern > 3 times) THEN violation pattern = malicious bidding; Rule 2: IF (in an auction where the same account bids at the last moment, the win rate is >80%) THEN violation mode = snipe bidding; Once a real-time operation sequence triggers any of the above rules, the system will determine it as a violation and trigger corresponding intervention measures (such as warnings or temporary account bans).

[0049] The beneficial effects of the above technical solution are as follows: by detecting irregular patterns in the transaction process, it is possible to effectively identify irregular operations by buyers and sellers during the transaction process and then stop them in time, thus ensuring the legality and reliability of the transaction. Furthermore, by storing data evidence, it is possible to ensure data traceability, and guarantee the security and privacy of the data.

[0050] In one embodiment, this embodiment also discloses a method for secure currency transactions, such as... Figure 4 As shown, it includes the following steps: Step S401: Obtain the buyer's transaction requirements, determine the transaction object and transaction mechanism based on the transaction requirements, and select the target transaction currency product based on the transaction object and transaction mechanism; Step S402: Obtain the seller's offer price information for the target currency product and conduct a reasonable confidence assessment of the offer price information; Step S403: Obtain the transaction intentions of both the buyer and seller based on the evaluation results, determine the transaction feasibility based on the transaction intentions, and activate the transaction mode based on the transaction feasibility; Step S404: Conduct transaction behavior based on the system transaction rules through the transaction mode and perform violation detection. After the transaction is completed, record the transaction evidence.

[0051] The working principle and beneficial effects of the above technical solution have been explained in the method embodiments, and will not be repeated here.

[0052] Those skilled in the art should understand that the "first" and "second" in this invention simply refer to different application stages.

[0053] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0054] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A money currency secure transaction platform system characterized by, The system comprises: a selection module configured to obtain a transaction appeal of a buyer, determine a transaction object and a transaction mechanism according to the transaction appeal, and select a target transaction currency product according to the transaction object and the transaction mechanism; an evaluation module configured to obtain transaction offer information of the target transaction currency product from a seller and perform a reasonable and confident evaluation on the transaction offer information; an activation module configured to obtain transaction willingness of the buyer and the seller according to the evaluation result, determine transaction feasibility based on the transaction willingness, and activate a transaction mode according to the transaction feasibility; a transaction module configured to perform a transaction behavior based on a system transaction rule through the transaction mode and perform a rule violation detection, and perform a transaction evidence preservation after the transaction is completed.

2. The system for secure transaction of money according to claim 1, wherein, The system further comprises: a registration and login module configured to provide a software terminal account registration channel and verify a login account of a user; an identity management module configured to obtain historical transaction information of each login account, determine an identity attribute of each login account according to the historical transaction information, and set an identity tag of each login account; a qualification identification module configured to obtain historical successful transaction data and a historical successful transaction amount according to the historical transaction information of each login account, and perform a qualification identification on each login account based on the historical successful transaction data and the historical successful transaction amount; a product publishing module configured to obtain to-be-published product information of each login account and perform a sensitive audit, and publish the to-be-published product information after the audit is successful.

3. The system for secure transaction of money according to claim 1, wherein, The selection module comprises: an extraction sub-module configured to obtain a transaction appeal of a buyer through a customer service channel or a post information, perform a data cleaning and an intention recognition on the transaction appeal, and extract a key appeal feature vector; a first determination sub-module configured to determine a transaction currency type and an expected transaction mode according to the key appeal feature vector, determine a transaction object according to the transaction currency type, obtain historical transaction data of the transaction object, and determine a best transaction mode of the transaction object according to the historical transaction data; a confirmation sub-module configured to confirm whether the best transaction mode is consistent with the expected transaction mode, if not, synchronously upload the best transaction mode and the expected transaction mode to a buyer terminal for selection, and determine a transaction mechanism according to a selection result; a selection sub-module configured to match the transaction object and the transaction mechanism with a seller inventory or an on-shelf currency product transaction information, and select a target transaction currency product with a highest matching degree.

4. The system of claim 1, wherein The transaction object comprises at least one of a delisted banknote, a commemorative banknote, a conjoined banknote, a silver ticket, a banknote, a local banknote, a stamp, a gold and silver coin, a commemorative coin, a coin, a commemorative badge, an ancient coin, a copper coin, a silver dollar, a machine-made coin, a medallion, and a ticket; The transaction mechanism comprises: a competitive auction mechanism configured to support a buyer to bid for a currency product; a one-price mechanism configured to support the buyer to directly purchase at a fixed price.

5. The system of claim 1, wherein, Before the evaluation module obtains transaction offer information of a target transaction currency product from a seller and performs a reasonable and confident evaluation on the transaction offer information, the system is further configured to: obtain a multi-angle currency image based on the target transaction currency product uploaded by the seller and perform an image enhancement and a denoising preprocessing on the multi-angle currency image; construct a three-dimensional model of the target transaction currency product according to the preprocessed multi-angle currency image, and perform an identification on the three-dimensional model through a preset currency identification model; According to the identification result, the authenticity of the target transaction coin product is determined, the transaction feasibility is determined according to the authenticity, and whether the product value needs to be evaluated is determined according to the transaction feasibility; If yes, the product value of the target transaction coin product is determined by extracting the coin characteristics, and the transaction offer information of the target transaction coin product of the seller is adjusted according to the product value.

6. The system of claim 1, wherein, The evaluation module comprises: A second determination submodule is configured to obtain the transaction offer information of the target transaction coin product of the seller through the seller terminal homepage, and determine the expected value vector of the seller according to the transaction offer information; An aggregation submodule is configured to obtain historical market data and real-time market data of the target transaction coin product, aggregate the historical market data and the real-time market data to obtain a benchmark value evaluation vector; An acquisition submodule is configured to compare the benchmark value evaluation vector with the expected value vector to obtain a multi-dimensional deviation index, and obtain historical credit data of the seller and appearance data of the target transaction coin product; A third determination submodule is configured to input the multi-dimensional deviation index, the historical credit data of the seller, and the appearance data of the target transaction coin product into a pre-set confidence evaluation model to output an offer confidence score, and determine the confidence rationality of the transaction offer information according to the offer confidence score.

7. The system for secure transaction of money according to claim 5, wherein, The product value of the target transaction coin product is determined by extracting the coin characteristics, and the transaction offer information of the target transaction coin product of the seller is adjusted according to the product value, comprising: The coin material texture parameters, coin pattern detail parameters, and coin wear detail parameters in the pre-processed multi-angle coin image are extracted through a convolutional neural network; The coin value characteristics are determined according to the coin material texture parameters, coin pattern detail parameters, and coin wear detail parameters; The product value of the target transaction coin product is determined through a pre-set coin value evaluation model according to the coin value characteristics, and a product valuation interval is determined according to the product value; The adjustment parameters of the transaction offer information of the target transaction coin product are determined according to the product valuation interval, and the transaction offer information is adjusted based on the adjustment parameters.

8. The system of claim 1, wherein: The activation module comprises: A generation submodule is configured to generate an overvaluation evaluation report of the target transaction coin product according to the evaluation result, and upload the overvaluation evaluation report to the buyer terminal and the seller terminal respectively; A fourth determination submodule is configured to obtain transaction disputes of the buyer terminal and the seller terminal based on the overvaluation evaluation report, and determine the transaction willingness of the buyer and the seller according to the transaction disputes; A fifth determination submodule is configured to determine the transaction prospect and the transaction intention of the buyer according to the transaction willingness, and determine the transaction feasibility according to the transaction prospect and the transaction intention of the buyer; An activation submodule is configured to determine the transaction occurrence probability according to the transaction feasibility, and determine whether the transaction occurrence probability is 100%, if yes, activate the transaction mode.

9. The system of claim 1, wherein, The transaction module comprises: A sixth determination submodule is configured to determine the transaction mode and the transaction behavior operation sequence based on the system transaction rules, and determine the expected transaction mode of the buyer; An operation submodule is configured to perform transaction process operation according to the expected transaction mode and the transaction behavior operation sequence through the transaction mode, and detect a real-time operation sequence; A seventh determining sub-module is configured to determine an abnormal behavior parameter according to the real-time operation sequence, and determine a violation mode based on the abnormal behavior parameter; A storage sub-module is configured to extract transaction core data, transaction process data and transaction evidence data in a transaction process, and perform serialization processing to generate a transaction storage data packet for storage.

10. A method of secure transaction of money, characterized by, The method comprises the following steps: Obtaining the transaction demand of the buyer, determining the transaction object and the transaction mechanism according to the transaction demand, and selecting the target transaction currency product according to the transaction object and the transaction mechanism; Obtaining the transaction offer information of the target transaction currency product from the seller and performing confidence and reasonable evaluation on the transaction offer information; Obtaining the transaction willingness of the buyer and the seller according to the evaluation result, determining the transaction feasibility based on the transaction willingness, and activating the transaction mode according to the transaction feasibility; Performing transaction behavior based on the system transaction rules through the transaction mode and performing violation detection, and performing transaction storage after the transaction is completed.

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