CN114049213A - Informatization financial data analysis system and analysis method - Google Patents

Informatization financial data analysis system and analysis method Download PDF

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CN114049213A
CN114049213A CN202111414662.XA CN202111414662A CN114049213A CN 114049213 A CN114049213 A CN 114049213A CN 202111414662 A CN202111414662 A CN 202111414662A CN 114049213 A CN114049213 A CN 114049213A
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柴懿晖
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Shenzhen Qianhai Hongtai Yuanxing Technology Development Co ltd
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Abstract

The invention provides an informationized financial data analysis system and an analysis method, wherein an interactive display interface is arranged on a user side to provide data display and interactive functions for the user, a data pattern interface of a middle layer is arranged for organizing data to display and analyze financial data, meanwhile, a transaction data balancing server is adopted to execute the analysis of an integral differential storage model of transaction data to ensure the differential storage strategy of part of specific blocks, a transaction data interpolation server is adopted to execute the interpolation storage of the transaction data, the transaction data interpolation of the transaction data interpolation server and the count accumulated value of the transaction data balancing server are combined, the informationized analysis of the financial data is realized under the conditions of decentralized storage based on blocks and the cooperative management of multiple servers, the differential query feedback of different user types is realized, and a stable unified data query feedback interface is provided for users of the informationized financial data analysis system And (4) a mouth.

Description

Informatization financial data analysis system and analysis method
Technical Field
The invention belongs to the technical field of financial informatization, and particularly relates to an informatization financial data analysis system and an analysis method thereof.
Background
In the internet era, the informatization construction of the traditional industrial society is an important mode for realizing transformation of the industrial society, and the informatization construction is favorable for the transformation from the traditional office mode to the novel informatization office mode, so that the overall efficiency of the society is improved.
The industry has a more unified understanding of the basic concept of informatization. Informatization means the historical process of developing and developing new productivity represented by intelligent tools based on computers and benefiting society. The productivity compatible with the intelligent tool is called informatization productivity. The informatization is a technology for summarizing all elements of a researched object to a database on the basis of modern communication, network and database technologies, and combining various behaviors closely related to human beings, such as life, work, study, aid decision and the like of a specific crowd.
The informationized construction depth is different, and the informationized degree is also different. Informatization represents an ideal state that an information technology is highly applied, information resources are highly shared, so that the intelligent potential of people and the potential of social material resources are fully exerted, and personal behaviors, organizational decisions and social operations tend to be rationalized. Meanwhile, the informatization is a continuous process for continuously applying IT to reform the traditional economic and social structures to lead to the ideal state on the basis of the development of the IT industry and the diffusion of the IT in various departments of social economy.
Generally, the complete information content includes the following four aspects: the information network system comprises information resources, various information systems, a public communication network platform and the like. The information industry foundation comprises information science and technology research and development, information equipment manufacturing, information consultation service and the like. And the social operation environment comprises modern industry and agriculture, management system, policy and law, regulation and regulation, cultural education, moral concept and other production relations and upper-level buildings. The effectiveness accumulation process comprises the quality of workers, the modernization level of the nation, the quality of life of people is continuously improved, and the construction of spiritual civilization and material civilization is continuously improved.
The enterprise management production and marketing integrated system has the advantages that the enterprise management production and marketing integration is realized in the enterprise information construction field, the integration of main business and financial management is realized, the change of the enterprise which is comprehensively oriented to the market and adapts to the market is promoted, the enterprise management is enabled to be turned from extensive type to intensive and refined, and the modernized management level of the enterprise is comprehensively improved. The method aims at improving competitiveness, market share, customer satisfaction and obtaining maximum profits by taking market and customer requirements as guidance while enterprise engineering construction and scale expansion, takes cooperative commerce and cooperative competition as business operation modes, and achieves effective planning and control of information flow, logistics, fund flow, business flow and value flow of the whole enterprise by applying modern enterprise management technology, information technology, network technology and integration technology, so that the enterprise, the customers, suppliers, sellers, service providers and other partners are connected into a complete value chain structure. The IT requirement, namely the requirement of the user on the information technology, can be described as a continuously changing process, which is usually represented by "informatization", so that the informatization solution can also be called an IT solution.
The important component of financial information-based construction. Financial informatization means that information technologies (such as computer technologies, communication technologies and artificial intelligence technologies) are widely applied to the financial field, so that a fundamental and revolutionary change process of financial theory and practice is caused. Along with the development of the world economy integration and the global information network, financial markets of various countries are increasingly combined into a unified whole, and the deep development of financial informatization lays a solid foundation for the integration of the financial markets. On one hand, the financial informatization greatly improves the capabilities of collecting, processing, storing and releasing related information, and becomes the basis of financial market trading materials and technologies. On the other hand, the internet is increasingly becoming the center of the world financial market operation, the traditional trading mode is gradually replaced by low-cost network trading, investors can surf the internet and synchronously carry out financial trading no matter where the investors are, and the global financial market is more closely related.
The financial informatization construction brings important system change to financial subjects, such as financial institutions. Financial informatization leads to great change of financial institution operation modes, and the wide application of information technology is changing the implementation modes of basic functions of banks, such as payment and settlement, fund financing and transfer, risk management, information inquiry and the like. The financial institution expands the traditional special information network to the public network, and the application of digital currencies such as electronic currency, network currency and the like leads the payment settlement and fund transfer modes mainly based on check and cash to be converted in a cashless mode, so that various credit cards and digital wallets are widely applied; the real-time online network service system can provide full-time, personalized, safe and quick financial service for the client; various risk management and decision-making systems (such as an automatic credit granting system, a risk integration measurement system and the like) based on information technology are replacing traditional backward risk management modes, so that the working efficiency and the accuracy are greatly improved; the development of new financial products and services is also rapidly accelerating. Adapting to the change of operation modes, the organization structure of financial institutions is also changing profoundly. The organization form established on the basis of the traditional bank operation mode, namely the organization structure based on branch lines, can not adapt to a new operation mode. Around the consumer behaviour and needs of the customers, traditional banks are going to make new structural designs, with the help of information technology to reconstruct their organization. Emerging internet banks completely get rid of the organizational structure of the traditional bank, and the structural characteristics of the traditional bank can hardly be found. In summary, the role of financial informatization will be developed from increasing the degree of automation of financial business to profound changes to financial business ways and organizational structures.
The invention provides an informationized financial data analysis system and an analysis method, wherein an interactive display interface is arranged on a user side to provide data display and interactive functions for the user, a data pattern interface of a middle layer is arranged for organizing data to display and analyze financial data, meanwhile, a transaction data balancing server is adopted to execute the analysis of an integral differential storage model of transaction data to ensure the differential storage strategy of part of specific blocks, a transaction data interpolation server is adopted to execute the interpolation storage of the transaction data, the transaction data interpolation of the transaction data interpolation server and the count accumulated value of the transaction data balancing server are combined, the informationized analysis of the financial data is realized under the conditions of decentralized storage based on blocks and the cooperative management of multiple servers, the differential query feedback of different user types is realized, and a stable unified data query feedback interface is provided for users of the informationized financial data analysis system And (4) a mouth.
Disclosure of Invention
The invention aims to provide an information-based financial data analysis system and method which are superior to those in the prior art.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an informationized financial data analysis system, the system comprising:
the interactive display interface is used for receiving the data pattern organized by the data pattern interface and displaying the data pattern to the information-based financial data analysis system user;
the interactive display interface at least comprises a plurality of interactive buttons, and a user realizes secondary query of data through the interactive buttons;
the data pattern interface is used for initiating query to the transaction data interpolation server, receiving normalized financial analysis result feedback sent by the transaction data interpolation server, organizing and displaying data patterns and displaying the data patterns on the interface;
a plurality of internet of things transaction nodes, each of which is connected to a specific block, generates first financial transaction data corresponding to a transaction when the transaction occurs, and uploads the first financial transaction data to the connected block;
the corresponding relation between the transaction node records of the Internet of things and the connected blocks is stored as a first corresponding relation, and the first corresponding relation is sent to a transaction relation balancing server of the information-based financial data analysis system;
the transaction relation balancing server is used for storing the first corresponding relation and generating a first block transaction link table based on the first corresponding relation;
wherein the first block transaction link table at least comprises: a block row for storing block sequence numbers; transaction node lists of the Internet of things; the transaction node is used for storing the transaction node of the Internet of things which has a first corresponding relation with the block with the specific block serial number; the mapping quantity column is used for storing the quantity of the transaction nodes of the Internet of things which have a first corresponding relation with the blocks with the specific block serial numbers;
the system comprises a plurality of blocks, a plurality of data processing units and a plurality of data transmission units, wherein each block is provided with a specific block serial number, each of a plurality of transaction nodes of the internet of things is connected to the specific block, and the plurality of blocks receive first financial transaction data uploaded by the connected transaction nodes of the internet of things;
the block also synchronizes the generated first financial transaction data to each block of the block chain when the transaction occurs at the transaction node of the internet of things connected with the block, namely, new first financial transaction data are generated, and the new first financial transaction data are sent to the transaction data balancing server;
the block is also used for sending a first balance count to the transaction data balance server when a transaction occurs at the transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data is updated and stored;
the block is also used for sending a second balance count to the transaction data balance server when the first financial transaction data synchronized by other blocks is received and the local transaction data updating and storing are not executed;
the block is also used for generating transaction data interpolation and uploading the transaction data interpolation to the transaction data interpolation server when the first financial transaction data synchronized by other blocks are received and local transaction data updating and storing are not executed;
the transaction data interpolation is used for representing the blocks which are not executed with local transaction data updating storage and corresponding transactions when first financial transaction data synchronized with other blocks are received;
the transaction data balancing server is used for receiving a first balancing count sent when the block performs transaction at a transaction node of the internet of things connected with the transaction server, namely new first financial transaction data is generated, or when the first financial transaction data synchronized with other blocks are received and local transaction data updating and storing are executed, and receiving a second balancing count sent when the block receives the first financial transaction data synchronized with other blocks and local transaction data updating and storing are not executed;
the transaction data balancing server is further used for accumulating the first balancing count and the second balancing count received in the data updating process of a single transaction occurrence, and obtaining a counting accumulated value to analyze differentiated updating storage of block transaction data in the information financial data analysis system based on the counting accumulated value;
the transaction data balancing server is also used for receiving the first financial transaction data uploaded by each block, executing local storage and acquiring the transaction ID of the transaction;
the transaction data interpolation server is used for independently storing the transaction data interpolation uploaded by each block;
the transaction data interpolation server is also used for receiving the query of the financial analysis system user, comprehensively based on the data stored by the transaction data balancing server and the first corresponding relation stored by the transaction relation balancing server, and after normalization, the financial analysis result is fed back to the user who has different weights for query.
Preferably, the first financial transaction data corresponding to the transaction at least comprises the identification of both parties of the transaction, the transaction time and the transaction amount of the transaction and the transaction ID; the transaction data interpolation at least comprises a corresponding block serial number and a transaction ID.
Preferably, after each new transaction comes and the transaction ID of the previous transaction is processed, the transaction ID of the system is updated, and the next processing of the information-based financial data analysis system is performed based on the new transaction ID.
Preferably, the first equalization count is a first unit count, and the second equalization count is a first unit count + 1.
Preferably, the transaction nodes of the internet of things connecting the single block are multiple.
Meanwhile, the invention discloses an operation method of the informatization financial data analysis system, which comprises the following steps:
the method comprises the following steps: operating an interactive display interface to receive the data pattern organized by the data pattern interface and displaying the data pattern to the information-based financial data analysis system user;
the interactive display interface at least comprises a plurality of interactive buttons, and a user realizes secondary query of data through the interactive buttons;
step two: the operation data pattern interface initiates query to the transaction data interpolation server, receives feedback of normalized financial analysis results sent by the transaction data interpolation server, and organizes and displays data patterns for interface display of data;
step three: operating each of a plurality of internet of things transaction nodes to connect to a specific block, generating first financial transaction data corresponding to a transaction when the transaction occurs, and uploading the first financial transaction data to the connected block;
the transaction node records the corresponding relation between the transaction node of the Internet of things and the connected blocks, stores the corresponding relation as a first corresponding relation, and sends the first corresponding relation to a transaction relation balancing server of the information-based financial data analysis system;
step four: operating a transaction relation balancing server to store the first corresponding relation and generating a first block transaction link table based on the first corresponding relation;
wherein the first block transaction link table at least comprises: a block row for storing block sequence numbers; transaction node lists of the Internet of things; the transaction node is used for storing the transaction node of the Internet of things which has a first corresponding relation with the block with the specific block serial number; the mapping quantity column is used for storing the quantity of the transaction nodes of the Internet of things which have a first corresponding relation with the blocks with the specific block serial numbers;
step five: operating each block of a plurality of blocks, each block having a specific block serial number, connecting each of a plurality of internet of things transaction nodes to the specific block, the plurality of blocks receiving first financial transaction data uploaded by the connected internet of things transaction nodes;
the block also synchronizes the generated first financial transaction data to each block of the block chain when the transaction occurs at the transaction node of the internet of things connected with the block, namely, new first financial transaction data are generated, and the new first financial transaction data are sent to the transaction data balancing server;
the block is also used for sending a first balance count to the transaction data balance server when a transaction occurs at the transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data is updated and stored;
the block is also used for sending a second balance count to the transaction data balance server when the first financial transaction data synchronized by other blocks is received and the local transaction data updating and storing are not executed;
the block is also used for generating transaction data interpolation and uploading the transaction data interpolation to the transaction data interpolation server when the first financial transaction data synchronized by other blocks are received and local transaction data updating and storing are not executed;
the transaction data interpolation is used for representing the blocks which are not executed with local transaction data updating storage and corresponding transactions when first financial transaction data synchronized with other blocks are received;
step six: operating a transaction data balance server to receive a first balance count sent when the block performs transaction at a transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data updating and storing are executed, and receive a second balance count sent when the block receives first financial transaction data synchronized with other blocks and local transaction data updating and storing are not executed;
the transaction data balancing server is further used for accumulating the first balancing count and the second balancing count received in the data updating process of a single transaction occurrence, and obtaining a counting accumulated value to analyze differentiated updating storage of block transaction data in the information financial data analysis system based on the counting accumulated value;
the transaction data balancing server is also used for receiving the first financial transaction data uploaded by each block, executing local storage and acquiring the transaction ID of the transaction;
step seven: operating a transaction data interpolation server to separately store the transaction data interpolation uploaded by each block;
the transaction data interpolation server is also used for receiving the query of the financial analysis system user, comprehensively based on the data stored by the transaction data balancing server and the first corresponding relation stored by the transaction relation balancing server, and after normalization, the financial analysis result is fed back to the user who has different weights for query.
Preferably, the first financial transaction data corresponding to the transaction at least comprises the identification of both parties of the transaction, the transaction time and the transaction amount of the transaction and the transaction ID; the transaction data interpolation at least comprises a corresponding block serial number and a transaction ID.
Preferably, after each new transaction comes, the transaction ID of the system is updated after the transaction ID of the previous transaction is processed, and the next processing of the information financial data analysis system is performed based on the new transaction ID.
Preferably, the first equalization count is a first unit count, and the second equalization count is a first unit count + 1.
Preferably, the transaction nodes of the internet of things connecting the single block are multiple.
The invention provides an informationized financial data analysis system and an analysis method, wherein an interactive display interface is arranged on a user side to provide data display and interactive functions for the user, a data pattern interface of a middle layer is arranged for organizing data to display and analyze financial data, meanwhile, a transaction data balancing server is adopted to execute the analysis of an integral differential storage model of transaction data to ensure the differential storage strategy of part of specific blocks, a transaction data interpolation server is adopted to execute the interpolation storage of the transaction data, the transaction data interpolation of the transaction data interpolation server and the count accumulated value of the transaction data balancing server are combined, the informationized analysis of the financial data is realized under the conditions of decentralized storage based on blocks and the cooperative management of multiple servers, the differential query feedback of different user types is realized, and a stable unified data query feedback interface is provided for users of the informationized financial data analysis system And (4) a mouth.
Drawings
FIG. 1 is a basic system architecture diagram of an informational financial data analysis system in accordance with the present invention;
FIG. 2 is a diagram illustrating a basic system architecture for interaction between an interactive presentation interface and a data style interface in the information-based financial data analysis system according to the present invention;
FIG. 3 is a diagram of a basic system for interaction between a transaction data interpolation server and a transaction data equalization server in the information-based financial data analysis system according to the present invention;
FIG. 4 is a diagram illustrating a preferred embodiment of different weight type users in an information-based financial data analysis system according to the present invention;
FIG. 5 is a schematic diagram of a preferred embodiment of the method of the information-based financial data analysis system according to the present invention.
Detailed Description
The following describes in detail several embodiments and advantageous effects of an informatization financial data analysis system claimed by the present invention to facilitate a more detailed examination and decomposition of the present invention.
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the preceding and following associated objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used in embodiments of the invention to describe methods and corresponding apparatus, these keywords should not be limited to these terms. These terms are only used to distinguish keywords from each other. For example, a first equalization count, a first block, etc. may also be referred to as a second equalization count, a second block, and similarly, a second equalization count, a second block, etc. may also be referred to as a first equalization count, a first block, without departing from the scope of embodiments of the present invention.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Referring to fig. 1-4 of the specification, fig. 1-4 of the specification are one of embodiments of an information-based financial data analysis system and a specific inter-module relationship thereof, the system comprises:
the interactive display interface is used for receiving the data pattern organized by the data pattern interface and displaying the data pattern to the information-based financial data analysis system user;
the interactive display interface at least comprises a plurality of interactive buttons, and a user realizes secondary query of data through the interactive buttons;
the data pattern interface is used for initiating query to the transaction data interpolation server, receiving normalized financial analysis result feedback sent by the transaction data interpolation server, organizing and displaying data patterns and displaying the data patterns on the interface;
the interactive display interface at least comprises a plurality of interactive buttons, and a user realizes secondary query of data through the interactive buttons, and the method specifically comprises the following steps:
the first thing the user obtains is the normalized financial analysis result, i.e. the first transaction data or the second transaction data, or the third transaction data, wherein the first transaction data or the second transaction data, or the third transaction data is the transaction data set related to the corresponding transaction ID, and includes all the available data of the transaction related to the transaction ID. The user clicks at least a plurality of interaction buttons of the display interface, and based on the interaction buttons and specific data (such as transaction time) types in a data set contained in the first transaction data, the second transaction data or the third transaction data, detailed secondary transaction data details are developed and used for providing detailed specific data (such as time axis, duration and the like of the transaction time) under the corresponding data types.
A plurality of internet of things transaction nodes, each of which is connected to a specific block, generates first financial transaction data corresponding to a transaction when the transaction occurs, and uploads the first financial transaction data to the connected block;
the corresponding relation between the transaction node records of the Internet of things and the connected blocks is stored as a first corresponding relation, and the first corresponding relation is sent to a transaction relation balancing server of the information-based financial data analysis system;
the transaction relation balancing server is used for storing the first corresponding relation and generating a first block transaction link table based on the first corresponding relation;
wherein the first block transaction link table at least comprises: a block row for storing block sequence numbers; transaction node lists of the Internet of things; the transaction node is used for storing the transaction node of the Internet of things which has a first corresponding relation with the block with the specific block serial number; the mapping quantity column is used for storing the quantity of the transaction nodes of the Internet of things which have a first corresponding relation with the blocks with the specific block serial numbers;
the system comprises a plurality of blocks, a plurality of data processing units and a plurality of data transmission units, wherein each block is provided with a specific block serial number, each of a plurality of transaction nodes of the internet of things is connected to the specific block, and the plurality of blocks receive first financial transaction data uploaded by the connected transaction nodes of the internet of things;
the block also synchronizes the generated first financial transaction data to each block of the block chain when the transaction occurs at the transaction node of the internet of things connected with the block, namely, new first financial transaction data are generated, and the new first financial transaction data are sent to the transaction data balancing server;
the block is also used for sending a first balance count to the transaction data balance server when a transaction occurs at the transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data is updated and stored;
as a stackable embodiment, during the data update process of a single transaction occurrence, the first balance count represents the statistical count of the execution of the storage update when a single block transacts at the connected transaction node, that is, new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks is received and local transaction data update storage is executed. In the data updating process of the single transaction, namely in the blockchain system, the single transaction occurs at any transaction node, the data uploading and updating process is executed, and after the previous data uploading and updating process is completed, the data uploading and updating process of the next transaction is continuously executed. As another stackable embodiment, the first equalization count may be 1 or an integer multiple of 1. For example, if the informationized financial data analysis system has a block chain with 200 blocks for storing data, when the first balance count is set to 1, after a transaction, if other 199 blocks all receive the first financial transaction data synchronized with other blocks and perform local transaction data update storage, 200 first balance counts, that is, 200 "1" values, are sent to the transaction data balance server, and the transaction data balance server performs first balance count accumulation, so that the obtainable count accumulated value is 200; when the first balance count is set to be 2, after one transaction, if other 199 blocks all receive first financial transaction data synchronized with other blocks and execute local transaction data updating and storing, 200 first balance counts, namely 200 '2' values, are sent to a transaction data balance server, and the transaction data balance server executes first balance count accumulation, so that the obtained count accumulated value is 400; note that as an stackable embodiment, the first balanced count is also uploaded at the same time as the single block where the transaction occurs at the connected transaction node.
The block is also used for sending a second balance count to the transaction data balance server when the first financial transaction data synchronized by other blocks is received and the local transaction data updating and storing are not executed;
as a stackable embodiment, the second balanced count characterizes a statistical count of storage update executions by the system when other block synchronized first financial transaction data is received and local transaction data update storage is not performed during a data update process that occurs for a single transaction. In the data updating process of the single transaction, namely in the blockchain system, the single transaction occurs at any transaction node, the data uploading and updating process is executed, and after the previous data uploading and updating process is completed, the data uploading and updating process of the next transaction is continuously executed. As another stackable embodiment, the second equalization count may be the first equalization count + 1. For example, if the informative financial data analysis system has a blockchain with 200 blocks for storing data, when the first leveling count is set to 1, then the second leveling count may be the first leveling count +1= 2. After one transaction, if 197 blocks receive the first financial transaction data synchronized by the other blocks and perform local transaction data update storage, and 2 blocks receive the first financial transaction data synchronized by the other blocks and do not perform local transaction data update storage, 198 (197 +1 (the connection block where the transaction occurs itself)) first balance counts, that is, 198 "1" values, and 2 second balance counts, that is, 2 "values, are sent to the transaction data balancing server, and the transaction data balancing server performs the accumulation of the first balance counts and the second balance counts, and may obtain a count accumulated value of 202; at this time, the transaction data balancing server may derive that there are 2 blocks in the system receiving the first financial transaction data synchronized with other blocks and not performing local transaction data updating storage according to the difference between the total number of system blocks 200 and the count accumulated value 202 being 2, and then historical searchable transaction data of a specific period is stored on the 2 blocks. Note that as an stackable embodiment, the first balanced count is also uploaded at the same time as the single block where the transaction occurs at the connected transaction node. By setting statistical analysis on the first balance count and the second balance count in the transaction data balance server, differential updating and partial storage of block transaction data of the information-based financial data analysis system are realized, and meanwhile, the transaction data balance server grasps differential storage integral proportion data of the block transaction data of the whole financial analysis system while the storage is decentralized.
The block is also used for generating transaction data interpolation and uploading the transaction data interpolation to the transaction data interpolation server when the first financial transaction data synchronized by other blocks are received and local transaction data updating and storing are not executed;
the transaction data interpolation is used for representing the blocks which are not executed with local transaction data updating storage and corresponding transactions when first financial transaction data synchronized with other blocks are received;
as a stackable embodiment, each time a transaction node performs a transaction, a specific transaction ID is generated to distinguish between different transactions and to be circulated within the blockchain with the first financial transaction data. The block is further configured to generate transaction data interpolation and upload the transaction data interpolation to the transaction data interpolation server when the first financial transaction data synchronized with other blocks is received and local transaction data update storage is not performed, and the method at least includes: the block records the serial number of the block and the transaction ID in the received first financial transaction data into a transaction data interpolation, and uploads the transaction data interpolation to the transaction data interpolation server.
The transaction data balancing server is used for receiving a first balancing count sent when the block performs transaction at a transaction node of the internet of things connected with the transaction server, namely new first financial transaction data is generated, or when the first financial transaction data synchronized with other blocks are received and local transaction data updating and storing are executed, and receiving a second balancing count sent when the block receives the first financial transaction data synchronized with other blocks and local transaction data updating and storing are not executed;
the transaction data balancing server is further used for accumulating the first balancing count and the second balancing count received in the data updating process of a single transaction occurrence, and obtaining a counting accumulated value to analyze differentiated updating storage of block transaction data in the information financial data analysis system based on the counting accumulated value;
the transaction data balancing server is also used for receiving the first financial transaction data uploaded by each block, executing local storage and acquiring the transaction ID of the transaction;
the transaction data interpolation server is used for independently storing the transaction data interpolation uploaded by each block;
the transaction data interpolation server is also used for receiving the query of the financial analysis system user, comprehensively based on the data stored by the transaction data balancing server and the first corresponding relation stored by the transaction relation balancing server, and after normalization, the financial analysis result is fed back to the user who has different weights for query.
As a stackable embodiment, the transaction data interpolation server is further configured to receive a query from a financial analysis system user, balance data stored by the server based on the transaction data, and feed back a financial analysis result to the query user after normalization based on the first corresponding relationship stored by the transaction relationship balance server, where the method includes at least: in the single transaction ID process, based on the count accumulated value of the transaction data balancing server and the transaction data interpolation of the transaction data interpolation server, the block serial number of the evasion block is determined, the transaction record of a specific evasion block is extracted to serve as first transaction data, the transaction records of specific blocks in other normal blocks serve as second transaction data, and the comparison data of the first transaction data and the second transaction data serve as third transaction data and are sent to a user to be displayed. And the evasion block is a block which receives the first financial transaction data synchronized with other blocks and does not execute local transaction data updating storage in the current transaction ID data updating process. The user with the first weight is a user without the right to perform inquiry or reference operation on the latest transaction, the user with the second weight is a user with the right to perform inquiry or reference operation on the latest transaction, and the user with the third weight is a system management user.
As an example of an overlay, the dodge block is assigned by the system, or dynamically assigned by the system during each transaction ID process, depending on the particular election algorithm.
As a stackable embodiment, the first financial transaction data corresponding to the transaction at least includes identification of both parties of the transaction, transaction time and transaction amount of the transaction, and transaction ID; the transaction data interpolation at least comprises a corresponding block serial number and a transaction ID.
As another stackable embodiment, after each new transaction comes, the transaction ID of the system is updated after the transaction ID of the previous transaction is processed, and the next information-based financial data analysis system processing is carried out based on the new transaction ID.
As another superimposable embodiment, the first equalization count is a first unit count and the second equalization count is a first unit count + 1.
As another stackable embodiment, the transaction nodes of the internet of things connected with a single block are multiple.
Meanwhile, as shown in the specification and the attached fig. 5, the specification and the attached fig. 5 are schematic diagrams of a preferred display embodiment of an operation method of the information-based financial data analysis system, the method comprises the following steps:
s102: operating an interactive display interface to receive the data pattern organized by the data pattern interface and displaying the data pattern to the information-based financial data analysis system user;
the interactive display interface at least comprises a plurality of interactive buttons, and a user realizes secondary query of data through the interactive buttons;
s104: the operation data pattern interface initiates query to the transaction data interpolation server, receives feedback of normalized financial analysis results sent by the transaction data interpolation server, and organizes and displays data patterns for interface display of data;
as an embodiment that can be superimposed, the interactive display interface at least includes a plurality of interactive buttons, and a user implements secondary query of data through the plurality of interactive buttons, specifically:
the first thing the user obtains is the normalized financial analysis result, i.e. the first transaction data or the second transaction data, or the third transaction data, wherein the first transaction data or the second transaction data, or the third transaction data is the transaction data set related to the corresponding transaction ID, and includes all the available data of the transaction related to the transaction ID. The user clicks at least a plurality of interaction buttons of the display interface, and based on the interaction buttons and specific data (such as transaction time) types in a data set contained in the first transaction data, the second transaction data or the third transaction data, detailed secondary transaction data details are developed and used for providing detailed specific data (such as time axis, duration and the like of the transaction time) under the corresponding data types.
S106: operating each of a plurality of internet of things transaction nodes to connect to a specific block, generating first financial transaction data corresponding to a transaction when the transaction occurs, and uploading the first financial transaction data to the connected block;
the transaction node records the corresponding relation between the transaction node of the Internet of things and the connected blocks, stores the corresponding relation as a first corresponding relation, and sends the first corresponding relation to a transaction relation balancing server of the information-based financial data analysis system;
s108: operating a transaction relation balancing server to store the first corresponding relation and generating a first block transaction link table based on the first corresponding relation;
wherein the first block transaction link table at least comprises: a block row for storing block sequence numbers; transaction node lists of the Internet of things; the transaction node is used for storing the transaction node of the Internet of things which has a first corresponding relation with the block with the specific block serial number; the mapping quantity column is used for storing the quantity of the transaction nodes of the Internet of things which have a first corresponding relation with the blocks with the specific block serial numbers;
s110: operating each block of a plurality of blocks, each block having a specific block serial number, connecting each of a plurality of internet of things transaction nodes to the specific block, the plurality of blocks receiving first financial transaction data uploaded by the connected internet of things transaction nodes;
the block also synchronizes the generated first financial transaction data to each block of the block chain when the transaction occurs at the transaction node of the internet of things connected with the block, namely, new first financial transaction data are generated, and the new first financial transaction data are sent to the transaction data balancing server;
the block is also used for sending a first balance count to the transaction data balance server when a transaction occurs at the transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data is updated and stored;
the block is also used for sending a second balance count to the transaction data balance server when the first financial transaction data synchronized by other blocks is received and the local transaction data updating and storing are not executed;
the block is also used for generating transaction data interpolation and uploading the transaction data interpolation to the transaction data interpolation server when the first financial transaction data synchronized by other blocks are received and local transaction data updating and storing are not executed;
the transaction data interpolation is used for representing the blocks which are not executed with local transaction data updating storage and corresponding transactions when first financial transaction data synchronized with other blocks are received;
s112: operating a transaction data balance server to receive a first balance count sent when the block performs transaction at a transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data updating and storing are executed, and receive a second balance count sent when the block receives first financial transaction data synchronized with other blocks and local transaction data updating and storing are not executed;
the transaction data balancing server is further used for accumulating the first balancing count and the second balancing count received in the data updating process of a single transaction occurrence, and obtaining a counting accumulated value to analyze differentiated updating storage of block transaction data in the information financial data analysis system based on the counting accumulated value;
the transaction data balancing server is also used for receiving the first financial transaction data uploaded by each block, executing local storage and acquiring the transaction ID of the transaction;
s114: operating a transaction data interpolation server to separately store the transaction data interpolation uploaded by each block;
the transaction data interpolation server is also used for receiving the query of the financial analysis system user, comprehensively based on the data stored by the transaction data balancing server and the first corresponding relation stored by the transaction relation balancing server, and after normalization, the financial analysis result is fed back to the user who has different weights for query.
As a stackable embodiment, the first financial transaction data corresponding to the transaction at least includes identification of both parties of the transaction, transaction time and transaction amount of the transaction, and transaction ID; the transaction data interpolation at least comprises a corresponding block serial number and a transaction ID.
As another stackable embodiment, after each new transaction comes, the transaction ID of the system is updated after the transaction ID of the previous transaction is processed, and the next processing of the information-based financial data analysis system is performed based on the new transaction ID.
As another superimposable embodiment, the first equalization count is a first unit count and the second equalization count is a first unit count + 1.
As another stackable embodiment, the transaction nodes of the internet of things connected with a single block are multiple.
The invention provides an informationized financial data analysis system and an analysis method, wherein an interactive display interface is arranged on a user side to provide data display and interactive functions for the user, a data pattern interface of a middle layer is arranged for organizing data to display and analyze financial data, meanwhile, a transaction data balancing server is adopted to execute the analysis of an integral differential storage model of transaction data to ensure the differential storage strategy of part of specific blocks, a transaction data interpolation server is adopted to execute the interpolation storage of the transaction data, the transaction data interpolation of the transaction data interpolation server and the count accumulated value of the transaction data balancing server are combined, the informationized analysis of the financial data is realized under the conditions of decentralized storage based on blocks and the cooperative management of multiple servers, the differential query feedback of different user types is realized, and a stable unified data query feedback interface is provided for users of the informationized financial data analysis system And (4) a mouth.
In all the above embodiments, in order to meet the requirements of some special data transmission and read/write functions, the above method and its corresponding devices may add devices, modules, devices, hardware, pin connections or memory and processor differences to expand the functions during the operation process.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described method, apparatus and unit may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the method steps into only one logical or functional division may be implemented in practice in another manner, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as individual steps of the method, apparatus separation parts may or may not be logically or physically separate, or may not be physical units, and may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, the method steps, the implementation thereof, and the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above-described method and apparatus may be implemented as an integrated unit in the form of a software functional unit, which may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), an NVRAM, a magnetic disk, or an optical disk, and various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
It should be noted that: the above embodiments are only used to explain and illustrate the technical solution of the present invention more clearly, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. An informationized financial data analysis system, the system comprising:
the interactive display interface is used for receiving the data pattern organized by the data pattern interface and displaying the data pattern to the information-based financial data analysis system user;
the interactive display interface at least comprises a plurality of interactive buttons, and a user realizes secondary query of data through the interactive buttons;
the data pattern interface is used for initiating query to the transaction data interpolation server, receiving normalized financial analysis result feedback sent by the transaction data interpolation server, organizing and displaying data patterns and displaying the data patterns on the interface;
a plurality of internet of things transaction nodes, each of which is connected to a specific block, generates first financial transaction data corresponding to a transaction when the transaction occurs, and uploads the first financial transaction data to the connected block;
the corresponding relation between the transaction node records of the Internet of things and the connected blocks is stored as a first corresponding relation, and the first corresponding relation is sent to a transaction relation balancing server of the information-based financial data analysis system;
the transaction relation balancing server is used for storing the first corresponding relation and generating a first block transaction link table based on the first corresponding relation;
wherein the first block transaction link table at least comprises: a block row for storing block sequence numbers; transaction node lists of the Internet of things; the transaction node is used for storing the transaction node of the Internet of things which has a first corresponding relation with the block with the specific block serial number; the mapping quantity column is used for storing the quantity of the transaction nodes of the Internet of things which have a first corresponding relation with the blocks with the specific block serial numbers;
the system comprises a plurality of blocks, a plurality of data processing units and a plurality of data transmission units, wherein each block is provided with a specific block serial number, each of a plurality of transaction nodes of the internet of things is connected to the specific block, and the plurality of blocks receive first financial transaction data uploaded by the connected transaction nodes of the internet of things;
the block also synchronizes the generated first financial transaction data to each block of the block chain when the transaction occurs at the transaction node of the internet of things connected with the block, namely, new first financial transaction data are generated, and the new first financial transaction data are sent to the transaction data balancing server;
the block is also used for sending a first balance count to the transaction data balance server when a transaction occurs at the transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data is updated and stored;
the block is also used for sending a second balance count to the transaction data balance server when the first financial transaction data synchronized by other blocks is received and the local transaction data updating and storing are not executed;
the block is also used for generating transaction data interpolation and uploading the transaction data interpolation to the transaction data interpolation server when the first financial transaction data synchronized by other blocks are received and local transaction data updating and storing are not executed;
the transaction data interpolation is used for representing the blocks which are not executed with local transaction data updating storage and corresponding transactions when first financial transaction data synchronized with other blocks are received;
the transaction data balancing server is used for receiving a first balancing count sent when the block performs transaction at a transaction node of the internet of things connected with the transaction server, namely new first financial transaction data is generated, or when the first financial transaction data synchronized with other blocks are received and local transaction data updating and storing are executed, and receiving a second balancing count sent when the block receives the first financial transaction data synchronized with other blocks and local transaction data updating and storing are not executed;
the transaction data balancing server is further used for accumulating the first balancing count and the second balancing count received in the data updating process of a single transaction occurrence, and obtaining a counting accumulated value to analyze differentiated updating storage of block transaction data in the information financial data analysis system based on the counting accumulated value;
the transaction data balancing server is also used for receiving the first financial transaction data uploaded by each block, executing local storage and acquiring the transaction ID of the transaction;
the transaction data interpolation server is used for independently storing the transaction data interpolation uploaded by each block;
the transaction data interpolation server is also used for receiving the query of the financial analysis system user, comprehensively based on the data stored by the transaction data balancing server and the first corresponding relation stored by the transaction relation balancing server, and after normalization, the financial analysis result is fed back to the user who has different weights for query.
2. The informationized financial data analyzing system according to claim 1, wherein the first financial transaction data corresponding to the transaction includes at least a transaction party identification of the transaction, a transaction time and a transaction amount of the transaction, and a transaction ID; the transaction data interpolation at least comprises a corresponding block serial number and a transaction ID.
3. The information-based financial data analysis system as claimed in claim 2, wherein, after each new transaction comes, the transaction ID of the system is updated after the transaction ID of the previous transaction is processed, and the next information-based financial data analysis system process is performed based on the new transaction ID.
4. The system for analyzing informationized financial data according to claim 1, wherein:
the first equalization count is a first unit count and the second equalization count is a first unit count + 1.
5. The system for analyzing informationized financial data according to claim 4, wherein:
the transaction nodes of the internet of things connected with the single block are multiple.
6. A method of operating an information-based financial data analysis system, the method comprising the steps of:
the method comprises the following steps: operating an interactive display interface to receive the data pattern organized by the data pattern interface and displaying the data pattern to the information-based financial data analysis system user;
the interactive display interface at least comprises a plurality of interactive buttons, and a user realizes secondary query of data through the interactive buttons;
step two: the operation data pattern interface initiates query to the transaction data interpolation server, receives feedback of normalized financial analysis results sent by the transaction data interpolation server, and organizes and displays data patterns for interface display of data;
step three: operating each of a plurality of internet of things transaction nodes to connect to a specific block, generating first financial transaction data corresponding to a transaction when the transaction occurs, and uploading the first financial transaction data to the connected block;
the transaction node records the corresponding relation between the transaction node of the Internet of things and the connected blocks, stores the corresponding relation as a first corresponding relation, and sends the first corresponding relation to a transaction relation balancing server of the information-based financial data analysis system;
step four: operating a transaction relation balancing server to store the first corresponding relation and generating a first block transaction link table based on the first corresponding relation;
wherein the first block transaction link table at least comprises: a block row for storing block sequence numbers; transaction node lists of the Internet of things; the transaction node is used for storing the transaction node of the Internet of things which has a first corresponding relation with the block with the specific block serial number; the mapping quantity column is used for storing the quantity of the transaction nodes of the Internet of things which have a first corresponding relation with the blocks with the specific block serial numbers;
step five: operating each block of a plurality of blocks, each block having a specific block serial number, connecting each of a plurality of internet of things transaction nodes to the specific block, the plurality of blocks receiving first financial transaction data uploaded by the connected internet of things transaction nodes;
the block also synchronizes the generated first financial transaction data to each block of the block chain when the transaction occurs at the transaction node of the internet of things connected with the block, namely, new first financial transaction data are generated, and the new first financial transaction data are sent to the transaction data balancing server;
the block is also used for sending a first balance count to the transaction data balance server when a transaction occurs at the transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data is updated and stored;
the block is also used for sending a second balance count to the transaction data balance server when the first financial transaction data synchronized by other blocks is received and the local transaction data updating and storing are not executed;
the block is also used for generating transaction data interpolation and uploading the transaction data interpolation to the transaction data interpolation server when the first financial transaction data synchronized by other blocks are received and local transaction data updating and storing are not executed;
the transaction data interpolation is used for representing the blocks which are not executed with local transaction data updating storage and corresponding transactions when first financial transaction data synchronized with other blocks are received;
step six: operating a transaction data balance server to receive a first balance count sent when the block performs transaction at a transaction node of the connected Internet of things, namely new first financial transaction data is generated, or when first financial transaction data synchronized with other blocks are received and local transaction data updating and storing are executed, and receive a second balance count sent when the block receives first financial transaction data synchronized with other blocks and local transaction data updating and storing are not executed;
the transaction data balancing server is further used for accumulating the first balancing count and the second balancing count received in the data updating process of a single transaction occurrence, and obtaining a counting accumulated value to analyze differentiated updating storage of block transaction data in the information financial data analysis system based on the counting accumulated value;
the transaction data balancing server is also used for receiving the first financial transaction data uploaded by each block, executing local storage and acquiring the transaction ID of the transaction;
step seven: operating a transaction data interpolation server to separately store the transaction data interpolation uploaded by each block;
the transaction data interpolation server is also used for receiving the query of the financial analysis system user, comprehensively based on the data stored by the transaction data balancing server and the first corresponding relation stored by the transaction relation balancing server, and after normalization, the financial analysis result is fed back to the user who has different weights for query.
7. The method of claim 6, wherein the first financial transaction data corresponding to the transaction includes at least a transaction party identification of the transaction, a transaction time and a transaction amount of the transaction, and a transaction ID; the transaction data interpolation at least comprises a corresponding block serial number and a transaction ID.
8. The method of operating an information-based financial data analysis system according to claim 7, wherein, after each new transaction comes, the transaction ID of the system is updated after the transaction ID of the previous transaction is processed, and the next processing of the information-based financial data analysis system is performed based on the new transaction ID.
9. The method of operating an information-based financial data analysis system of claim 6, wherein:
the first equalization count is a first unit count and the second equalization count is a first unit count + 1.
10. The method of operating an information-based financial data analysis system of claim 9, wherein:
the transaction nodes of the internet of things connected with the single block are multiple.
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