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CN113408894B - A cloud computing-based auction asset risk monitoring and evaluation system and method - Google Patents

A cloud computing-based auction asset risk monitoring and evaluation system and method Download PDF

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CN113408894B
CN113408894B CN202110676927.7A CN202110676927A CN113408894B CN 113408894 B CN113408894 B CN 113408894B CN 202110676927 A CN202110676927 A CN 202110676927A CN 113408894 B CN113408894 B CN 113408894B
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李敬
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Abstract

本发明涉及一种基于云计算的拍卖资产风险监控评估系统及方法,包括基于云计算的风险管理平台、基于大数据的拍卖交易平台、基于分布式存储系统的拍卖信息存储平台、数据加密服务平台、交易信息管理平台、第三方交易平台、身份识别管理平台、拍卖信息操作展示平台,基于云计算的风险管理平台分别与基于大数据的拍卖交易平台、基于分布式存储系统的拍卖信息存储平台、数据加密服务平台、交易信息管理平台、第三方交易平台、身份识别管理平台建立数据连接。其具体运行方法包括基础拍卖信息、客户身份信息采集和风险评估。本发明一方面可有效防止数据丢失、泄露造成的拍卖信息泄露及丢失风险;另一方面可实现在拍卖前对拍卖风险进行综合评估筛选。

Figure 202110676927

The invention relates to a cloud computing-based auction asset risk monitoring and evaluation system and method, including a cloud computing-based risk management platform, a big data-based auction trading platform, an auction information storage platform based on a distributed storage system, and a data encryption service platform , transaction information management platform, third-party trading platform, identity management platform, auction information operation display platform, cloud computing-based risk management platform and big data-based auction trading platform, auction information storage platform based on distributed storage system, Data encryption service platform, transaction information management platform, third-party transaction platform, and identity management platform establish data connections. Its specific operation methods include basic auction information, customer identity information collection and risk assessment. On the one hand, the present invention can effectively prevent auction information leakage and loss risks caused by data loss and leakage; on the other hand, it can realize comprehensive evaluation and screening of auction risks before auction.

Figure 202110676927

Description

一种基于云计算的拍卖资产风险监控评估系统及方法A cloud computing-based auction asset risk monitoring and evaluation system and method

技术领域technical field

本发明涉及一种基于云计算的拍卖资产风险监控评估系统及方法,属于数据信息技术领域。The invention relates to a cloud computing-based auction asset risk monitoring and evaluation system and method, belonging to the technical field of data information.

背景技术Background technique

随着当前在线拍卖系统的推广和应用,越来越多的资产通过网络平台进行在线资产拍卖活动,因此导致在线拍卖过程中的相关资产信息流转量大,数据类型种类多,但参与拍卖活动的人员与资产间往往均缺乏直接有效的接触与了解,从而极易存在恶意隐瞒信息等欺诈交易行为、因信息不全而导致交易误判及因信息不足而导致流拍等情况发生,从而导致在线拍卖交易成功率相对较小,且拍卖后存在纠纷率较高,极大的增加了资产在线拍卖交易工作的风险。With the promotion and application of the current online auction system, more and more assets conduct online asset auction activities through the network platform, which leads to a large amount of asset information flow and various types of data in the online auction process. There is often a lack of direct and effective contact and understanding between people and assets, so it is very easy to maliciously conceal information and other fraudulent transactions, misjudgment of transactions due to incomplete information, and failed auctions due to insufficient information, which leads to online auctions. The transaction success rate is relatively small, and the dispute rate after the auction is high, which greatly increases the risk of asset online auction transactions.

发明内容SUMMARY OF THE INVENTION

为了解决现有技术上的不足,本发明提供一种基于云计算的拍卖资产风险监控评估系统及方法,可有效满足多种类型资产、客户类型参与在线拍卖作业的需要。In order to solve the deficiencies in the prior art, the present invention provides a cloud computing-based auction asset risk monitoring and evaluation system and method, which can effectively meet the needs of various types of assets and customer types to participate in online auction operations.

一种基于云计算的拍卖资产风险监控评估系统,包括基于云计算的风险管理平台、基于大数据的拍卖交易平台、基于分布式存储系统的拍卖信息存储平台、数据加密服务平台、交易信息管理平台、第三方交易平台、身份识别管理平台、拍卖信息操作展示平台,其中基于云计算的风险管理平台分别与基于大数据的拍卖交易平台、基于分布式存储系统的拍卖信息存储平台、数据加密服务平台、交易信息管理平台、第三方交易平台、身份识别管理平台建立数据连接,拍卖信息操作展示平台若干,相互并联并分别与基于大数据的拍卖交易平台、交易信息管理平台、第三方交易平台、身份识别管理平台建立数据连接;基于大数据的拍卖交易平台另分别于基于分布式存储系统的拍卖信息存储平台、交易信息管理平台、第三方交易平台建立数据连接。A cloud computing-based auction asset risk monitoring and evaluation system, including a cloud computing-based risk management platform, a big data-based auction trading platform, an auction information storage platform based on a distributed storage system, a data encryption service platform, and a transaction information management platform , third-party trading platform, identity management platform, auction information operation display platform, among which the cloud computing-based risk management platform is different from the big data-based auction trading platform, the auction information storage platform based on the distributed storage system, and the data encryption service platform. , transaction information management platform, third-party transaction platform, and identity management platform to establish data connections, and several auction information operation and display platforms, which are connected in parallel with each other and are respectively connected with the big data-based auction trading platform, transaction information management platform, third-party trading platform, identity The identification management platform establishes data connection; the auction trading platform based on big data also establishes data connection with the auction information storage platform, transaction information management platform and third-party trading platform based on distributed storage system.

进一步的,所述的基于大数据的拍卖交易平台包括基于大数据的综合数据管理数据层、拍卖资产信息数据管理层、拍卖客商信息数据管理层、拍卖交易量数据统计管理层,所述基于大数据的综合数据管理数据层分别与拍卖资产信息数据管理层、拍卖客商信息数据管理层、拍卖交易量数据统计管理层、基于云计算的风险管理平台建立数据连接,所述基于大数据的综合数据管理数据层、拍卖客商信息数据管理层分别与基于分布式存储系统的拍卖信息存储平台、身份识别管理平台建立数据连接,所述拍卖交易量数据统计管理层分别与交易信息管理平台、第三方交易平台建立数据连接。Further, the big data-based auction trading platform includes a comprehensive data management data layer based on big data, an auction asset information data management layer, an auction customer information data management layer, and an auction transaction volume data statistics management layer. The comprehensive data management data layer of the data establishes data connections with the auction asset information data management layer, the auction customer information data management layer, the auction transaction volume data statistics management layer, and the cloud computing-based risk management platform. The big data-based comprehensive data management layer The management data layer and the auction customer information data management layer establish data connections with the auction information storage platform and the identity identification management platform based on the distributed storage system, respectively, and the auction transaction volume data statistics management layer is respectively connected with the transaction information management platform and the third-party transaction management platform. The platform establishes a data connection.

进一步的,所述的基于分布式存储系统的拍卖信息存储平台包括交易资产信息存储子系统、客户身份识别信息存储子系统及拍卖交易信息存储子系统,且交易资产信息存储子系统、客户身份识别信息存储子系统及拍卖交易信息存储子系统均与拍卖信息操作展示平台建立数据连接,其中交易资产信息存储子系统分别与基于云计算的风险管理平台、基于大数据的拍卖交易平台建立数据连接,所述客户身份识别信息存储子系统与身份识别管理平台建立数据连接,所述交易资产信息存储子系统分别与数据加密服务平台、交易信息管理平台、第三方交易平台建立数据连接,所述拍卖交易信息存储子系统分别与交易信息管理平台、第三方交易平台建立数据连接。Further, the auction information storage platform based on the distributed storage system includes a transaction asset information storage subsystem, a customer identification information storage subsystem, and an auction transaction information storage subsystem, and the transaction asset information storage subsystem, the customer identification information storage subsystem, and the transaction asset information storage subsystem. Both the information storage subsystem and the auction transaction information storage subsystem establish data connections with the auction information operation and display platform, and the transaction asset information storage subsystem establishes data connections with the cloud computing-based risk management platform and the big data-based auction trading platform, respectively. The customer identification information storage subsystem establishes a data connection with the identification management platform, and the transaction asset information storage subsystem establishes a data connection with the data encryption service platform, the transaction information management platform, and the third-party trading platform, respectively. The auction transaction The information storage subsystem establishes data connections with the transaction information management platform and the third-party transaction platform respectively.

进一步的,所述的交易信息管理平台和身份识别管理平台均为象模型、层次模型、网状模型结构中任意一种或几种共用为基础的数据库结构。Further, the transaction information management platform and the identity recognition management platform are all database structures based on any one or more of the image model, the hierarchical model, and the mesh model structure.

进一步的,所述的拍卖信息操作展示平台为工业计算机、PC计算机、移动通讯终端、扫描仪、摄像头、麦克风中的任意一种。Further, the auction information operation display platform is any one of an industrial computer, a PC computer, a mobile communication terminal, a scanner, a camera, and a microphone.

一种基于云计算的拍卖资产风险监控评估系统的评估方法,包括如下步骤:An evaluation method for an auction asset risk monitoring and evaluation system based on cloud computing, comprising the following steps:

第一步,基础拍卖信息,首先通过拍卖信息操作展示平台采集待拍卖资产的基础数据,将采集的待拍卖资产基础数据发送至基于大数据的拍卖交易平台,然后由基于云计算的风险管理平台与数据加密服务平台配合运行,一方面对待拍卖资产拍卖信息、资产风险进行统计评估,并生成资产风险评估清单;另一方面将接收的待拍卖资产基础数据进行编码加密,得到资产加密数据,然后将待拍卖资产基础数据和资产加密数据同步保存在基于分布式存储系统的拍卖信息存储平台的交易资产信息存储子系统内,同时将资产加密数据生成映射文件,并将映射文件和资产风险评估清单同时推送至交易信息管理平台、拍卖信息操作展示平台,实现待拍卖资产信息发布;The first step, basic auction information, first collect the basic data of the assets to be auctioned through the auction information operation display platform, and send the collected basic data of the assets to be auctioned to the auction trading platform based on big data, and then the cloud computing-based risk management platform Working in conjunction with the data encryption service platform, on the one hand, it conducts statistical evaluation on auction information and asset risks, and generates an asset risk assessment list; Simultaneously save the basic data of the assets to be auctioned and the encrypted data of the assets in the transaction asset information storage subsystem of the auction information storage platform based on the distributed storage system, and at the same time, generate the mapping file from the encrypted asset data, and map the file and the asset risk assessment list. At the same time, it is pushed to the transaction information management platform and the auction information operation display platform to realize the release of the asset information to be auctioned;

第二步,客户身份信息采集;拍卖参与客户首先通过拍卖信息操作展示平台获取并选择待参与拍卖的资产信息,然后通过拍卖信息操作展示平台录入客户个人身份信息及根据资产风险评估清单提交客户满足资产风险评估清单的个人风险评估资料,然后将客户个人身份信息和个人风险评估资料发送至身份识别管理平台,并由身份识别管理平台和基于云计算的风险管理平台及数据加密服务平台同步运行,对客户身份信息和个人风险评估资料进行加密,得到客户身份加密信息,并将客户身份信息和个人风险评估资料及相应客户身份加密信息保存在基于分布式存储系统的拍卖信息存储平台的客户身份识别信息存储子系统中,同时对客户身份加密信息生成客户身份加密信息映射文件,并将客户身份加密信息映射文件推送至交易信息管理平台、第三方交易平台、身份识别管理平台、拍卖信息操作展示平台;The second step is to collect customer identity information; auction participants first obtain and select the asset information to be auctioned through the auction information operation display platform, and then enter the customer’s personal identity information through the auction information operation display platform and submit the customer satisfaction list according to the asset risk assessment list. The personal risk assessment data of the asset risk assessment list, and then the customer's personal identity information and personal risk assessment data are sent to the identity management platform, and the identity management platform, the cloud computing-based risk management platform and the data encryption service platform run synchronously, Encrypt customer identity information and personal risk assessment data to obtain customer identity encrypted information, and store customer identity information, personal risk assessment data and corresponding customer identity encrypted information in the customer identity identification of the auction information storage platform based on the distributed storage system In the information storage subsystem, the customer identity encryption information mapping file is generated for the customer identity encryption information at the same time, and the customer identity encryption information mapping file is pushed to the transaction information management platform, third-party trading platform, identity management platform, and auction information operation display platform. ;

第三步,风险评估,由基于云计算的风险管理平台根据第二步客户通过拍卖信息操作展示平台选择的待参与拍卖的资产信息,首先从基于分布式存储系统的拍卖信息存储平台中调取相应资产的资产加密数据及资产风险评估清单,然后从基于分布式存储系统的拍卖信息存储平台获取各客户身份加密信息映射文件,然后一方面由基于云计算的风险管理平台根据资产风险评估清单与客户身份加密信息映射文件中的个人风险评估资料进行比对,根据各个人风险评估资料与资产风险评估清单数据进行比对,并根据匹配度由高到低进行排序,获得拍卖风险评估清单,并将拍卖风险评估清单保存在基于分布式存储系统的拍卖信息存储平台的拍卖交易信息存储子系统中,另一方面由基于云计算的风险管理平台对各客户身份加密信息映射文件对应的客户以往拍卖交易成功率信息进行汇总统计,并将拍卖交易成功率补录到拍卖风险评估清单内,作为附录参考;从而获得资产拍卖风险清单,并将资产拍卖风险清单保存在基于分布式存储系统的拍卖信息存储平台的拍卖交易信息存储子系统内,同时生成资产拍卖风险清单的同步资产拍卖风险清单映射文件,并将同步资产拍卖风险清单映射文件推送至基于大数据的拍卖交易平台、第三方交易平台、身份识别管理平台内指导后续拍卖交易作业。The third step, risk assessment, the cloud computing-based risk management platform will display the asset information to be auctioned selected by the client through the auction information operation display platform according to the second step, and first retrieve it from the auction information storage platform based on the distributed storage system The asset encryption data and asset risk assessment list of the corresponding assets, and then obtain each customer identity encryption information mapping file from the auction information storage platform based on the distributed storage system, and then the cloud computing-based risk management platform on the one hand, according to the asset risk assessment list and the asset risk assessment list. Compare the personal risk assessment data in the customer identity encrypted information mapping file, compare the personal risk assessment data with the asset risk assessment list data, and sort them according to the matching degree from high to low to obtain the auction risk assessment list, and Save the auction risk assessment list in the auction transaction information storage subsystem of the auction information storage platform based on the distributed storage system. The transaction success rate information is summarized and counted, and the auction transaction success rate is added to the auction risk assessment list for reference as an appendix; thus, the asset auction risk list is obtained, and the asset auction risk list is saved in the auction information based on the distributed storage system. In the auction transaction information storage subsystem of the storage platform, the synchronous asset auction risk list mapping file of the asset auction risk list is generated at the same time, and the synchronous asset auction risk list mapping file is pushed to the big data-based auction trading platform, third-party trading platform, Guide subsequent auction transactions in the identity management platform.

进一步的,所述的第三步中,拍卖风险评估清单中匹配度高则拍卖风险低,反之拍卖风险高。Further, in the third step, if the matching degree in the auction risk assessment list is high, the auction risk is low; otherwise, the auction risk is high.

进一步的,所述的第三步中,在拍卖交易活动中,一方面由第三方交易平台进行在线拍卖交易支付工作;另一方面在完成交易后,将拍卖交易活动中的各客户交易数据信息均保存在基于分布式存储系统的拍卖信息存储平台内,并通过基于云计算的风险管理平台将各客户交易数据信息补录汇总并补录到拍卖风险评估清单内Further, in the third step, in the auction transaction activity, on the one hand, the online auction transaction payment work is performed by the third-party trading platform; on the other hand, after the transaction is completed, the transaction data information of each customer in the auction transaction activity All are stored in the auction information storage platform based on the distributed storage system, and through the cloud computing-based risk management platform, the transaction data information of each customer is supplemented and recorded into the auction risk assessment list.

本发明系统构成简单,数据处理能力强,系统运行稳定性好,可有效满足多种类型资产、客户类型参与在线拍卖作业的需要;并实现对在线拍卖活动中资产、人员信息及拍卖活动数据信息进行精确核对筛查、数据加密及备份,从而一方面可有效防止数据丢失、泄露造成的拍卖信息泄露及丢失风险;另一方面可实现在拍卖前对拍卖风险进行综合评估筛选,在提前发现排查拍卖风险的同时,另可有效的降低拍卖过程中的风险发生,提高拍卖活动的安全性、可靠性及成交率。The system of the invention has the advantages of simple structure, strong data processing capability and good system operation stability, which can effectively meet the needs of various types of assets and customer types to participate in online auction operations; Precise verification screening, data encryption and backup can effectively prevent auction information leakage and risk of loss caused by data loss and leakage; At the same time of auction risk, it can effectively reduce the risk in the auction process and improve the safety, reliability and transaction rate of auction activities.

附图说明Description of drawings

下面结合附图和具体实施方式来详细说明本发明;The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments;

图1为本发明系统结构示意图。FIG. 1 is a schematic diagram of the system structure of the present invention.

图中各标号:基于云计算的风险管理平台1、基于大数据的拍卖交易平台2、基于分布式存储系统的拍卖信息存储平台3、数据加密服务平台4、交易信息管理平台5、第三方交易平台6、身份识别管理平台7、拍卖信息操作展示平台8、基于大数据的综合数据管理数据层21、拍卖资产信息数据管理层22、拍卖客商信息数据管理层23、拍卖交易量数据统计管理层24、交易资产信息存储子系统31、客户身份识别信息存储子系统32、拍卖交易信息存储子系统33。Labels in the figure: cloud computing-based risk management platform 1, big data-based auction trading platform 2, distributed storage system-based auction information storage platform 3, data encryption service platform 4, transaction information management platform 5, third-party transaction Platform 6, identity management platform 7, auction information operation display platform 8, comprehensive data management data layer based on big data 21, auction asset information data management layer 22, auction customer information data management layer 23, auction transaction volume data statistics management layer 24. Transaction asset information storage subsystem 31 , customer identification information storage subsystem 32 , auction transaction information storage subsystem 33 .

具体实施方式Detailed ways

为使本发明实现的技术手段、创作特征、达成目的与功效易于施工,下面结合具体实施方式,进一步阐述本发明。In order to facilitate the construction of the technical means, creation features, achievement goals and effects realized by the present invention, the present invention will be further described below with reference to the specific embodiments.

如图1所示,一种基于云计算的拍卖资产风险监控评估系统,包括基于云计算的风险管理平台1、基于大数据的拍卖交易平台2、基于分布式存储系统的拍卖信息存储平台3、数据加密服务平台4、交易信息管理平台5、第三方交易平台6、身份识别管理平台7、拍卖信息操作展示平台8,其中基于云计算的风险管理平台1分别与基于大数据的拍卖交易平台2、基于分布式存储系统的拍卖信息存储平台3、数据加密服务平台4、交易信息管理平台5、第三方交易平台6、身份识别管理平台7建立数据连接,拍卖信息操作展示平台8若干,相互并联并分别与基于大数据的拍卖交易平台2、交易信息管理平台5、第三方交易平台6、身份识别管理平台7建立数据连接;基于大数据的拍卖交易平台2另分别于基于分布式存储系统的拍卖信息存储平台3、交易信息管理平台5、第三方交易平台6建立数据连接。As shown in Figure 1, a cloud computing-based auction asset risk monitoring and evaluation system includes a cloud computing-based risk management platform 1, a big data-based auction trading platform 2, a distributed storage system-based auction information storage platform 3, Data encryption service platform 4, transaction information management platform 5, third-party trading platform 6, identity management platform 7, auction information operation display platform 8, of which cloud computing-based risk management platform 1 and big data-based auction trading platform 2 , Auction information storage platform based on distributed storage system 3, data encryption service platform 4, transaction information management platform 5, third-party trading platform 6, identification management platform 7 to establish data connections, and several auction information operation display platforms 8, which are connected in parallel with each other And establish data connections with the big data-based auction trading platform 2, transaction information management platform 5, third-party trading platform 6, and identity management platform 7 respectively; The auction information storage platform 3, the transaction information management platform 5, and the third-party transaction platform 6 establish data connections.

需要说明的,所述的基于大数据的拍卖交易平台2包括基于大数据的综合数据管理数据层21、拍卖资产信息数据管理层22、拍卖客商信息数据管理层23、拍卖交易量数据统计管理层24,所述基于大数据的综合数据管理数据层21分别与拍卖资产信息数据管理层22、拍卖客商信息数据管理层23、拍卖交易量数据统计管理层24、基于云计算的风险管理平台1建立数据连接,所述基于大数据的综合数据管理数据层21、拍卖客商信息数据管理层23分别与基于分布式存储系统的拍卖信息存储平台3、身份识别管理平台7建立数据连接,所述拍卖交易量数据统计管理层24分别与交易信息管理平台5、第三方交易平台6建立数据连接。It should be noted that the big data-based auction trading platform 2 includes a big data-based comprehensive data management data layer 21, an auction asset information data management layer 22, an auction customer information data management layer 23, and an auction transaction volume data statistics management layer. 24. The big data-based comprehensive data management data layer 21 is established with the auction asset information data management layer 22, the auction customer information data management layer 23, the auction transaction volume data statistics management layer 24, and the cloud computing-based risk management platform 1. Data connection, the big data-based comprehensive data management data layer 21 and the auction merchant information data management layer 23 establish data connections with the auction information storage platform 3 and the identity management platform 7 based on the distributed storage system, respectively. The auction transaction The volume data statistics management layer 24 establishes data connections with the transaction information management platform 5 and the third-party transaction platform 6 respectively.

同时需要注意的,所述的基于分布式存储系统的拍卖信息存储平台3包括交易资产信息存储子系统31、客户身份识别信息存储子系统32及拍卖交易信息存储子系统33,且交易资产信息存储子系统31、客户身份识别信息存储子系统32及拍卖交易信息存储子系统33均与拍卖信息操作展示平台8建立数据连接,其中交易资产信息存储子系统31分别与基于云计算的风险管理平台1、基于大数据的拍卖交易平台2建立数据连接,所述客户身份识别信息存储子系统32与身份识别管理平台7建立数据连接,所述交易资产信息存储子系统31分别与数据加密服务平台4、交易信息管理平台5、第三方交易平台6建立数据连接,所述拍卖交易信息存储子系统33分别与交易信息管理平台5、第三方交易平台6建立数据连接。At the same time, it should be noted that the auction information storage platform 3 based on the distributed storage system includes a transaction asset information storage subsystem 31, a customer identification information storage subsystem 32, and an auction transaction information storage subsystem 33, and the transaction asset information storage subsystem 33. The subsystem 31, the customer identification information storage subsystem 32 and the auction transaction information storage subsystem 33 all establish data connections with the auction information operation and display platform 8, wherein the transaction asset information storage subsystem 31 is respectively connected with the cloud computing-based risk management platform 1 , the auction trading platform 2 based on big data establishes a data connection, the customer identification information storage subsystem 32 establishes a data connection with the identification management platform 7, and the transaction asset information storage subsystem 31 is respectively connected with the data encryption service platform 4, The transaction information management platform 5 and the third-party transaction platform 6 establish data connections, and the auction transaction information storage subsystem 33 establishes data connections with the transaction information management platform 5 and the third-party transaction platform 6 respectively.

本实施例中,所述的交易信息管理平台5和身份识别管理平台7均为象模型、层次模型、网状模型结构中任意一种或几种共用为基础的数据库结构。In this embodiment, the transaction information management platform 5 and the identity recognition management platform 7 are all database structures based on any one or more of the image model, the hierarchical model, and the mesh model structure.

进一步优化的,所述的拍卖信息操作展示平台8为工业计算机、PC计算机、移动通讯终端、扫描仪、摄像头、麦克风中的任意一种。Further optimized, the auction information operation display platform 8 is any one of an industrial computer, a PC computer, a mobile communication terminal, a scanner, a camera, and a microphone.

一种基于云计算的拍卖资产风险监控评估系统的评估方法,包括如下步骤:An evaluation method for an auction asset risk monitoring and evaluation system based on cloud computing, comprising the following steps:

第一步,基础拍卖信息,首先通过拍卖信息操作展示平台8采集待拍卖资产的基础数据,将采集的待拍卖资产基础数据发送至基于大数据的拍卖交易平台2,然后由基于云计算的风险管理平台1与数据加密服务平台4配合运行,一方面对待拍卖资产拍卖信息、资产风险进行统计评估,并生成资产风险评估清单;另一方面将接收的待拍卖资产基础数据进行编码加密,得到资产加密数据,然后将待拍卖资产基础数据和资产加密数据同步保存在基于分布式存储系统的拍卖信息存储平台3的交易资产信息存储子系统31内,同时将资产加密数据生成映射文件,并将映射文件和资产风险评估清单同时推送至交易信息管理平台5、拍卖信息操作展示平台8,实现待拍卖资产信息发布;The first step, basic auction information, first collect the basic data of the assets to be auctioned through the auction information operation display platform 8, send the collected basic data of the assets to be auctioned to the auction trading platform 2 based on big data, and then use the cloud computing-based risk The management platform 1 operates in cooperation with the data encryption service platform 4. On the one hand, it conducts statistical evaluation on the auction information and asset risks of the auctioned assets, and generates an asset risk assessment list; on the other hand, it encodes and encrypts the basic data of the assets to be auctioned to obtain the assets Encrypt the data, then store the basic data of the asset to be auctioned and the encrypted asset data synchronously in the transaction asset information storage subsystem 31 of the auction information storage platform 3 based on the distributed storage system, and generate a mapping file from the encrypted asset data at the same time. The documents and asset risk assessment list are simultaneously pushed to the transaction information management platform 5 and the auction information operation display platform 8 to realize the release of the asset information to be auctioned;

第二步,客户身份信息采集,拍卖参与客户首先通过拍卖信息操作展示平台8获取并选择待参与拍卖的资产信息,然后通过拍卖信息操作展示平台8录入客户个人身份信息及根据资产风险评估清单提交客户满足资产风险评估清单的个人风险评估资料,然后将客户个人身份信息和个人风险评估资料发送至身份识别管理平台7,并由身份识别管理平台7和基于云计算的风险管理平台1及数据加密服务平台4同步运行,对客户身份信息和个人风险评估资料进行加密,得到客户身份加密信息,并将客户身份信息和个人风险评估资料及相应客户身份加密信息保存在基于分布式存储系统的拍卖信息存储平台3的客户身份识别信息存储子系统32中,同时对客户身份加密信息生成客户身份加密信息映射文件,并将客户身份加密信息映射文件推送至交易信息管理平台5、第三方交易平台6、身份识别管理平台7、拍卖信息操作展示平台8;The second step is to collect customer identity information. The auction participants first obtain and select the asset information to be auctioned through the auction information operation display platform 8, and then enter the customer's personal identity information through the auction information operation display platform 8 and submit it according to the asset risk assessment list. The client satisfies the personal risk assessment information of the asset risk assessment list, and then sends the client's personal identity information and personal risk assessment information to the identity management platform 7, and the identity management platform 7 and the cloud computing-based risk management platform 1 and data encryption The service platform 4 runs synchronously, encrypts customer identity information and personal risk assessment data, obtains customer identity encrypted information, and saves the customer identity information, personal risk assessment data and corresponding customer identity encrypted information in the auction information based on the distributed storage system In the customer identity information storage subsystem 32 of the storage platform 3, a customer identity encrypted information mapping file is generated for the customer identity encrypted information at the same time, and the customer identity encrypted information mapping file is pushed to the transaction information management platform 5, third-party trading platform 6, Identity management platform 7, auction information operation display platform 8;

第三步,风险评估,由基于云计算的风险管理平台1根据第二步客户通过拍卖信息操作展示平台8选择的待参与拍卖的资产信息,首先从基于分布式存储系统的拍卖信息存储平台3中调取相应资产的资产加密数据及资产风险评估清单,然后从基于分布式存储系统的拍卖信息存储平台3获取各客户身份加密信息映射文件,然后一方面由基于云计算的风险管理平台1根据资产风险评估清单与客户身份加密信息映射文件中的个人风险评估资料进行比对,根据个人风险评估资料与资产风险评估清单数据进行比对,并根据匹配度由高到低进行排序,获得拍卖风险评估清单,并将拍卖风险评估清单保存在基于分布式存储系统的拍卖信息存储平台3的拍卖交易信息存储子系统33中,另一方面由基于云计算的风险管理平台1对各客户身份加密信息映射文件对应的客户以往拍卖交易成功率信息进行汇总统计,并将拍卖交易成功率补录到拍卖风险评估清单内,作为附录参考;从而获得资产拍卖风险清单,并将资产拍卖风险清单保存在基于分布式存储系统的拍卖信息存储平台3的拍卖交易信息存储子系统33内,同时生成资产拍卖风险清单的同步资产拍卖风险清单映射文件,并将同步资产拍卖风险清单映射文件推送至基于大数据的拍卖交易平台2、第三方交易平台6、身份识别管理平台7内指导后续拍卖交易作业。The third step, risk assessment, is based on the risk management platform 1 based on cloud computing. According to the second step, the client operates the auction information operation display platform 8 to select the asset information to be auctioned, first from the auction information storage platform 3 based on the distributed storage system. The asset encryption data and asset risk assessment list of the corresponding assets are retrieved, and then each customer identity encryption information mapping file is obtained from the auction information storage platform 3 based on the distributed storage system, and then on the one hand, the cloud computing-based risk management platform 1 according to The asset risk assessment list is compared with the personal risk assessment data in the customer identity encrypted information mapping file, and the personal risk assessment data is compared with the asset risk assessment list data, and sorted according to the matching degree from high to low to obtain the auction risk. Evaluation list, and save the auction risk evaluation list in the auction transaction information storage subsystem 33 of the auction information storage platform 3 based on the distributed storage system, on the other hand, the cloud computing-based risk management platform 1 encrypts the information of each customer's identity The client's previous auction transaction success rate information corresponding to the mapping file is summarized and counted, and the auction transaction success rate is added to the auction risk assessment list for reference as an appendix; thus, the asset auction risk list is obtained, and the asset auction risk list is saved in the In the auction transaction information storage subsystem 33 of the auction information storage platform 3 of the distributed storage system, the synchronized asset auction risk list mapping file of the asset auction risk list is simultaneously generated, and the synchronized asset auction risk list mapping file is pushed to the big data-based The auction trading platform 2, the third-party trading platform 6, and the identity management platform 7 guide subsequent auction trading operations.

本实施例中,所述的第三步中,拍卖风险评估清单中匹配度高则拍卖风险低,反之拍卖风险高。In this embodiment, in the third step, if the matching degree in the auction risk assessment list is high, the auction risk is low; otherwise, the auction risk is high.

值得注意的,所述的第三步中,在拍卖交易活动中,一方面由第三方交易平台6进行在线拍卖交易支付工作;另一方面在完成交易后,将拍卖交易活动中的各客户交易数据信息均保存在基于分布式存储系统的拍卖信息存储平台3内,并通过基于云计算的风险管理平台1将各客户交易数据信息补录汇总并补录到拍卖风险评估清单内It is worth noting that in the third step, in the auction transaction activity, on the one hand, the third-party trading platform 6 performs the online auction transaction payment; The data information is stored in the auction information storage platform 3 based on the distributed storage system, and the transaction data information of each customer is supplemented and recorded in the auction risk assessment list through the risk management platform 1 based on cloud computing.

本发明系统构成简单,数据处理能力强,系统运行稳定性好,可有效满足多种类型资产、客户类型参与在线拍卖作业的需要;并实现对在线拍卖活动中资产、人员信息及拍卖活动数据信息进行精确核对筛查、数据加密及备份,从而一方面可有效防止数据丢失、泄露造成的拍卖信息泄露及丢失风险;另一方面可实现在拍卖前对拍卖风险进行综合评估筛选,在提前发现排查拍卖风险的同时,另可有效的降低拍卖过程中的风险发生,提高拍卖活动的安全性、可靠性及成交率。The system of the invention has the advantages of simple structure, strong data processing capability and good system operation stability, which can effectively meet the needs of various types of assets and customer types to participate in online auction operations; Precise verification screening, data encryption and backup can effectively prevent auction information leakage and risk of loss caused by data loss and leakage; At the same time of auction risk, it can effectively reduce the risk in the auction process and improve the safety, reliability and transaction rate of auction activities.

以上显示和描述了本发明的基本原理和主要特征和本发明的优点。本行业的技术人员应该了解,本发明不受上述实施例的限制,上述实施例和说明书中描述的只是说明本发明的原理,在不脱离本发明精神和范围的前提下,本发明还会有各种变化和改进,这些变化和改进都落入要求保护的本发明范围内。本发明要求保护范围由所附的权利要求书及其等效物界定。The basic principles and main features of the present invention and the advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited by the above-mentioned embodiments, and the descriptions in the above-mentioned embodiments and the description are only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have Various changes and modifications fall within the scope of the claimed invention. The claimed scope of the present invention is defined by the appended claims and their equivalents.

Claims (6)

1. The utility model provides an auction asset risk monitoring evaluation system based on cloud computing which characterized in that: the auction system based on the cloud computing comprises a risk management platform (1) based on cloud computing, an auction transaction platform (2) based on big data, an auction information storage platform (3) based on a distributed storage system, a data encryption service platform (4), a transaction information management platform (5), a third-party transaction platform (6), an identity recognition management platform (7) and an auction information operation display platform (8), wherein the risk management platform (1) based on cloud computing is in data connection with the auction transaction platform (2) based on the big data, the auction information storage platform (3) based on the distributed storage system, the data encryption service platform (4), the transaction information management platform (5), the third-party transaction platform (6) and the identity recognition management platform (7) respectively, and the auction information operation display platforms (8) are connected in parallel with one another and are connected with the auction transaction platform (2) based on the big data respectively, The transaction information management platform (5), the third party transaction platform (6) and the identity recognition management platform (7) establish data connection; the auction trading platform (2) based on the big data establishes data connection with an auction information storage platform (3), a trading information management platform (5) and a third party trading platform (6) based on a distributed storage system respectively;
the auction information storage platform (3) based on the distributed storage system comprises a transaction asset information storage subsystem (31), a client identity identification information storage subsystem (32) and an auction transaction information storage subsystem (33), wherein the transaction asset information storage subsystem (31), the client identity identification information storage subsystem (32) and the auction transaction information storage subsystem (33) are in data connection with an auction information operation display platform (8), the transaction asset information storage subsystem (31) is in data connection with a risk management platform (1) based on cloud computing and an auction transaction platform (2) based on big data, the client identity identification information storage subsystem (32) is in data connection with an identity identification management platform (7), and the transaction asset information storage subsystem (31) is in data connection with a data encryption service platform (4) respectively, The data connection is established between the transaction information management platform (5) and the third-party transaction platform (6), and the auction transaction information storage subsystem (33) is respectively in data connection with the transaction information management platform (5) and the third-party transaction platform (6);
the evaluation method comprises the following steps:
firstly, basic auction information firstly collects basic data of assets to be auctioned through an auction information operation display platform (8), sends the collected information of the assets to be auctioned to an auction trading platform (2) based on big data, then a risk management platform (1) based on cloud computing and a data encryption service platform (4) are matched to run, the information of the assets to be auctioned and asset risks are statistically evaluated, and an asset risk evaluation list is generated; the received information of the assets to be auctioned is coded and encrypted to obtain asset encryption data, then the information of the assets to be auctioned and the asset encryption data are synchronously stored in a trading asset information storage subsystem (31) of an auction information storage platform (3) based on a distributed storage system, meanwhile, the asset encryption data are generated into a mapping file, and the mapping file and an asset risk assessment list are simultaneously pushed to a trading information management platform (5) and an auction information operation display platform (8), so that the information of the assets to be auctioned is issued;
secondly, customer identity information is collected, auction participators firstly obtain and select asset information to be participated in auction through an auction information operation display platform (8), then personal identity information of the customers is input through the auction information operation display platform (8), personal risk assessment information meeting an asset risk assessment list is submitted to the customers according to the asset risk assessment list, then the personal identity information of the customers and the personal risk assessment information are sent to an identity recognition management platform (7), the identity recognition management platform (7), a risk management platform (1) based on cloud computing and a data encryption service platform (4) synchronously operate, the personal identity information of the customers and the personal risk assessment information are encrypted, customer identity encryption information is obtained, and the customer identity information, the personal risk assessment information and corresponding customer identity encryption information are stored in a customer identity identification information storage of an auction information storage platform (3) based on a distributed storage system In the storage subsystem (32), a customer identity encryption information mapping file is generated for the customer identity encryption information at the same time, and the customer identity encryption information mapping file is pushed to a transaction information management platform (5), a third-party transaction platform (6), an identity recognition management platform (7) and an auction information operation display platform (8);
thirdly, risk assessment, namely, a risk management platform (1) based on cloud computing operates the asset information to be auctioned selected by a display platform (8) according to the auction information of the clients in the second step, firstly, the asset encryption data and the asset risk assessment list of the corresponding asset are called from an auction information storage platform (3) based on a distributed storage system, then, an identity encryption information mapping file of each client is obtained from the auction information storage platform (3) based on the distributed storage system, then, the risk management platform (1) based on cloud computing compares the asset risk assessment list with the personal risk assessment data in the identity encryption information mapping file of the client, compares the individual risk assessment data with the asset risk assessment list data according to the risk assessment data of each person, and orders the individual risk assessment list from high to low according to the matching degree to obtain an auction risk assessment list, the auction risk assessment list is stored in an auction transaction information storage subsystem (33) of an auction information storage platform (3) based on a distributed storage system, a risk management platform (1) based on cloud computing collects and counts the past auction transaction success rate information of the clients corresponding to the client identity encrypted information mapping files, and the auction transaction success rate is added to the auction risk assessment list and used as an addition reference; and therefore, an asset auction risk list is obtained and stored in an auction transaction information storage subsystem (33) of an auction information storage platform (3) based on a distributed storage system, a synchronous asset auction risk list mapping file of the asset auction risk list is generated at the same time, and the synchronous asset auction risk list mapping file is pushed to an auction transaction platform (2), a third party transaction platform (6) and an identity recognition management platform (7) based on big data to guide subsequent auction transaction operation.
2. The cloud computing-based auction asset risk monitoring and assessment system of claim 1, wherein: the auction transaction platform (2) based on the big data comprises a comprehensive data management data layer (21) based on the big data, an auction asset information data management layer (22), an auction customer information data management layer (23) and an auction transaction amount data statistics management layer (24), wherein the comprehensive data management data layer (21) based on the big data is in data connection with the auction asset information data management layer (22), the auction customer information data management layer (23), the auction transaction amount data statistics management layer (24) and the risk management platform (1) based on cloud computing, the comprehensive data management data layer (21) and the auction customer information data management layer (23) based on the big data are in data connection with an auction information storage platform (3) and an identity recognition management platform (7) based on a distributed storage system, and the auction transaction amount data statistics management layer (24) is in data connection with a transaction information management platform (5) respectively, The third party transaction platform (6) establishes a data connection.
3. The cloud computing-based auction asset risk monitoring and assessment system of claim 1, wherein: the transaction information management platform (5) and the identity recognition management platform (7) are database structures based on any one or more of an image model, a hierarchical model and a mesh model structure.
4. The cloud computing-based auction asset risk monitoring and assessment system of claim 1, wherein: the auction information operation display platform (8) is any one of an industrial computer, a PC computer, a mobile communication terminal, a scanner, a camera and a microphone.
5. The cloud computing-based auction asset risk monitoring and assessment system of claim 1, wherein: and in the third step, if the matching degree in the auction risk evaluation list is high, the auction risk is low, otherwise, the auction risk is high.
6. The cloud computing-based auction asset risk monitoring and assessment system of claim 1, wherein: in the third step, in the auction transaction activity, the third party transaction platform (6) carries out the payment work of the on-line auction transaction; after the transaction is completed, all the client transaction data information in the auction transaction activity is stored in an auction information storage platform (3) based on a distributed storage system, and the client transaction data information is additionally recorded and collected in an auction risk assessment list through a risk management platform (1) based on cloud computing.
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Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117788168A (en) * 2023-12-19 2024-03-29 江苏红网技术股份有限公司 Automatic classification method based on large model data assets

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003345961A (en) * 2002-05-24 2003-12-05 Takayuki Inoue Stock risk management system and method for used products sales
CN103020437A (en) * 2012-12-04 2013-04-03 司春林 Asset appraisal risk control system
CN105488719A (en) * 2015-11-25 2016-04-13 四川诚品电子商务有限公司 Video online auction platform based on cloud security
CN105488676A (en) * 2015-11-25 2016-04-13 四川诚品电子商务有限公司 Online trading platform based on encryption system
CN108898488A (en) * 2018-06-11 2018-11-27 合肥汇英科技有限公司 A kind of financial air control system based on big data and artificial intelligence
CN110889640A (en) * 2019-12-04 2020-03-17 支付宝(杭州)信息技术有限公司 Risk assessment method for preventing personal data from being leaked, terminal and network center

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2779034C (en) * 2011-06-08 2022-03-01 Accenture Global Services Limited High-risk procurement analytics and scoring system
CN105488717A (en) * 2015-11-25 2016-04-13 四川诚品电子商务有限公司 Real-time video on-line auction platform
CN109670736A (en) * 2019-02-12 2019-04-23 黄虹 A kind of risk management method of e-commerce transaction behavior
CN111126987B (en) * 2019-12-02 2021-02-19 腾讯科技(深圳)有限公司 Resource transfer information processing method and device, storage medium and electronic device
CN112232965A (en) * 2020-10-13 2021-01-15 宁波一量科技有限公司 Asset allocation and investment portfolio management system based on block chain

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003345961A (en) * 2002-05-24 2003-12-05 Takayuki Inoue Stock risk management system and method for used products sales
CN103020437A (en) * 2012-12-04 2013-04-03 司春林 Asset appraisal risk control system
CN105488719A (en) * 2015-11-25 2016-04-13 四川诚品电子商务有限公司 Video online auction platform based on cloud security
CN105488676A (en) * 2015-11-25 2016-04-13 四川诚品电子商务有限公司 Online trading platform based on encryption system
CN108898488A (en) * 2018-06-11 2018-11-27 合肥汇英科技有限公司 A kind of financial air control system based on big data and artificial intelligence
CN110889640A (en) * 2019-12-04 2020-03-17 支付宝(杭州)信息技术有限公司 Risk assessment method for preventing personal data from being leaked, terminal and network center

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
论数字经济背景下非标准化不良资产的互联网模块化处置;王莹莹,杨琪;《西北民族大学学报(哲学社会科学版)》;20191231;第104-113页 *

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