CN113364879B - Multi-level asset online auction information transfer system and method based on big data - Google Patents
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Abstract
The invention relates to a big data-based multi-level asset online auction information circulation system and a big data-based multi-level asset online auction information circulation method. The data stream transfer method comprises three steps of hardware networking, asset data acquisition and asset data output. The invention has high data communication circulation efficiency and good safety and reliability of data circulation operation, and can effectively prevent incomplete information of the assets to be auctioned or leakage caused by data omission and data leakage, thereby improving the efficiency and quality of information management and transmission work of the assets to be auctioned.
Description
Technical Field
The invention relates to a big data-based multi-level asset online auction information transfer system and method, and belongs to the technical field of data information.
Background
With the popularization and application of the current online auction system, more and more assets carry out online inquiry, consultation, evaluation and auction activities of the online asset information through a network platform, so that the related asset information in the online auction process is large in flow quantity and various in data types, but in the actual online auction activities, the traditional data transmission management system and method are adopted in the current work of collecting, background processing, user retrieval and inquiry and the like of the asset information, although the requirement on the asset information circulation operation in the online auction activities can be met to a certain degree, the related data of the assets participating in the auction activities are lack of effective protection and correction capability in the transmission process, so that the transaction data are easy to leak to influence the fair and fair development of the auction activities, and the aspect of understanding the data of the assets to be auctioned is easy to be caused by data loss, thereby increasing the probability of generating misjudgment and consequently increasing the risk of the online auction campaign and affecting the success rate of the online auction work.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a multi-level asset online auction information circulation system and method based on big data, which can effectively prevent incomplete data or leakage of assets to be auctioned caused by data omission and data leakage.
A big data-based multi-level asset online auction information transfer system comprises a workstation based on a big data base, information acquisition terminals, information comparison processing servers, transaction servers, control terminals and information output terminals, wherein the transaction servers are connected with one another through a communication network, the transaction servers are connected with the information acquisition terminals and the control terminals through the communication network, the transaction servers are connected with at least one workstation based on the big data base through the communication network, and the workstation based on the big data base is connected with at least one information comparison processing server and the information output terminals through the communication network.
Further, the transaction server comprises a data processing sub-server, a coding and decoding sub-server and a data caching sub-server based on cloud computing, wherein the data processing sub-server based on cloud computing is respectively connected with the coding and decoding sub-server, the data caching sub-server, a workstation based on a big data base, an information acquisition terminal and a control terminal through a communication network, the coding and decoding sub-server and the data caching sub-server connected with each data processing sub-server based on cloud computing are all multiple, and the coding and decoding sub-server and the data caching sub-server connected with the same data processing sub-server based on cloud computing are mutually connected in parallel.
Furthermore, the transaction servers are connected with a communication network through relay servers, at least two relay servers are arranged, and the relay servers are connected with each other through the communication network.
Furthermore, the information acquisition terminal is any one of an industrial computer, a PC computer, a mobile communication terminal, a scanner, a camera and a microphone, and the control terminal and the information output terminal are any one of a PC computer, a mobile communication terminal, a display, a printer and an industrial computer.
Furthermore, the information acquisition terminal, the control terminal and the information output terminal are all provided with identity recognition devices, and the information acquisition terminal and the control terminal are additionally provided with satellite positioning devices.
A circulation method of a big data-based multi-level asset online auction information circulation system comprises the following steps:
firstly, hardware networking, namely firstly, setting a plurality of workstations based on a big data base, enabling the workstations based on the big data base to be mutually connected through a communication network, then respectively establishing data connection between the workstations based on the big data base and an information comparison processing server, a transaction server and an information output terminal through the communication network, respectively establishing data connection between the transaction server and an information acquisition terminal and an operation and control terminal, and enabling at least one transaction server to be in data connection with an external third-party network platform through the communication network; then, the workstation based on big data base distributes communication protocol, communication address and data communication encryption coding decoding protocol for the information acquisition terminal, the information comparison processing server, the transaction server, the control terminal and the information output terminal; finally, inputting an asset information transfer operation threshold value, an asset data management and identification keyword, an asset data retrieval keyword and a data transfer coding and decoding algorithm into the transaction server through the control terminal, and storing and backing up the input asset information transfer operation threshold value, the asset data management and identification keyword, the asset data retrieval keyword and the data transfer coding and decoding algorithm in a workstation based on a big data base;
secondly, collecting the asset data, after the first step is finished, firstly collecting the corresponding asset data to be auctioned by an information collecting terminal, and transmitting the collected asset data to a transaction server, then coding and encrypting the received asset data by the transaction server according to the data communication coding and decoding protocol, the asset information circulation operation threshold value and the data circulation coding and decoding algorithm set in the first step, then simultaneously storing the original data and the coded and encrypted asset data in the transaction server, transmitting the coded and encrypted asset data to a workstation based on a big data base by the transaction server, then generating a statistical list of the asset data to be auctioned by the workstation based on the big data base according to the received data, and establishing at least one data retrieval pointer between the statistical list of the asset data to be auctioned and the data stored in the workstation based on the big data base, finally, generating a mapping file from the data statistics list of the assets to be auctioned and respectively pushing the mapping file to the transaction server, the control terminal and the information output terminal;
thirdly, outputting asset data, namely selecting corresponding to-be-auctioned asset items by a control terminal according to-be-auctioned asset data statistical list information, then inputting related retrieval keywords by knowing the information through the control terminal according to needs, pushing the related retrieval keywords into a big data base-based workstation, assembling the related retrieval keywords into a data retrieval pointer, finally decoding the related to-be-auctioned asset data stored in the data retrieval pointer by the big data base-based workstation according to the data retrieval pointer, generating a mapping file from the decoded data, outputting the mapping file through an information output terminal on one hand, and sending the mapping file to a third-party network platform through a transaction server on the other hand;
in the information output process, on one hand, the output mapping file information is compared and verified with data in the transaction server through the information comparison processing server, and can be output after verification is completed; and on the other hand, pushing the selected multiple to-be-auctioned asset data to an information comparison processing server, performing comparison operation on the multiple to-be-auctioned asset data, and outputting an operation result.
Furthermore, in the second step, when the information acquisition terminal acquires the corresponding asset data to be auctioned and pushes information to the transaction server, the pushed asset data to be auctioned starts with the communication address of the current information acquisition terminal and ends with the identification information of the current information acquisition terminal, wherein the identification information includes any one or more of the hardware identification number, the software identification number, the position information and the identity information of the operator of the current information acquisition terminal.
Further, in the third step, when asset data is output, the workstation based on the big data base counts the use frequency of each search keyword and the corresponding output use frequency of the asset data to be auctioned, sorts the data according to the use frequency from high to low, thereby obtaining the attention degree sequence of each asset to be auctioned and the attention degree sequence of each feature of the same auction asset, and sends the attention degree sequence to the third-party network platform through the information output terminal and the transaction server for output.
Selecting corresponding to-be-auctioned asset items by a control terminal according to-be-auctioned asset data statistical list information, inputting related retrieval keywords through the control terminal according to needs, pushing the related retrieval keywords into a workstation based on a big data base, assembling the related retrieval keywords into a data retrieval pointer, decoding related to-be-auctioned asset data stored in the data retrieval pointer by the workstation based on the big data base according to the data retrieval pointer, generating a mapping file from the decoded data, outputting the mapping file through an information output terminal on one hand, and sending the mapping file to a third-party network platform through a transaction server on the other hand; the system has simple structure, low access difficulty, wide application range, no region limitation, flexible and convenient networking operation, strong system expansion capability, high data communication circulation efficiency and good safety and reliability of data circulation operation, and can effectively prevent incomplete data or leakage of the assets to be auctioned caused by data omission and data leakage, thereby improving the efficiency and quality of data management and transmission work of the assets to be auctioned and being beneficial to the smooth development of the auction work.
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The invention is described in detail below with reference to the drawings and the detailed description;
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic flow chart of the method of the present invention.
The reference numbers in the figures: the system comprises a workstation 1 based on a big data base, an information acquisition terminal 2, an information comparison processing server 3, a transaction server 4, an operation terminal 5, an information output terminal 6 and a relay server 7.
Detailed Description
In order to facilitate the implementation of the technical means, creation features, achievement of the purpose and the efficacy of the invention, the invention is further described below with reference to specific embodiments.
As shown in fig. 1, a big data-based multi-level asset online auction information transfer system includes a workstation 1 based on a big data base, an information acquisition terminal 2, an information comparison processing server 3, a transaction server 4, an operation terminal 5, and an information output terminal 6, wherein a plurality of transaction servers 4 are connected to each other through a communication network, the transaction server 4 is further connected to the information acquisition terminals 2 and the operation terminals 5 through a communication network, each transaction server 4 further establishes a data connection with at least one workstation 1 based on a big data base through a communication network, and the workstation 1 based on a big data base is further connected to at least one information comparison processing server 3 and the information output terminal 6 through a communication network.
In this embodiment, the communication network is any one of an internet of things and an ethernet, and includes a plurality of online communication networks and a plurality of wireless communication networks.
It is emphasized that the transaction server 4 includes a data processing sub-server, a codec sub-server, and a data cache sub-server based on cloud computing, wherein the data processing sub-server based on cloud computing establishes data connection with the codec sub-server, the data cache sub-server, the workstation 1 based on big data base, the information acquisition terminal 2, and the control terminal 5 through a communication network, wherein the codec sub-server and the data cache sub-server connected to each data processing sub-server based on cloud computing are several, and the codec sub-server and the data cache sub-server connected to the same data processing sub-server based on cloud computing are connected in parallel.
Further, the transaction servers 4 are connected to a communication network through relay servers 7, at least two relay servers 7 are provided, and the relay servers 7 are connected to each other through the communication network.
In this embodiment, the information acquisition terminal 2 is any one of an industrial computer, a PC computer, a mobile communication terminal, a scanner, a camera, and a microphone, and the control terminal 5 and the information output terminal 6 are any one of a PC computer, a mobile communication terminal, a display, a printer, and an industrial computer.
In this embodiment, the information acquisition terminal 2, the control terminal 5, and the information output terminal 6 are all provided with an identity recognition device, and the information acquisition terminal 2 and the control terminal 5 are additionally provided with a satellite positioning device.
As shown in fig. 2, a circulation method of a big data based multi-level asset online auction information circulation system includes the following steps:
firstly, hardware networking, namely firstly, setting a plurality of workstations 1 based on a big data base, enabling the workstations 1 based on the big data base to be mutually connected through a communication network, then respectively establishing data connection between the workstations 1 based on the big data base and an information comparison processing server 3, a transaction server 4 and an information output terminal 6 through the communication network, respectively establishing data connection between the transaction server 4 and an information acquisition terminal 2 and an operation and control terminal 5, and enabling at least one transaction server 4 to be in data connection with an external third-party network platform through the communication network; then, the workstation 1 based on big data base distributes communication protocol, communication address and data communication encryption coding and decoding protocol for the information acquisition terminal 2, the information comparison processing server 3, the transaction server 4, the control terminal 5 and the information output terminal 6; finally, inputting an asset information circulation operation threshold value, an asset data management and identification keyword, an asset data retrieval keyword and a data circulation coding and decoding algorithm into the transaction server 4 through the control terminal 5, and storing and backing up the input asset information circulation operation threshold value, the asset data management and identification keyword, the asset data retrieval keyword and the data circulation coding and decoding algorithm in the workstation 1 based on the big data base;
secondly, collecting asset data, after the first step is finished, firstly collecting corresponding asset data to be auctioned by an information collecting terminal 2, and transmitting the data to a transaction server 4, then carrying out coding encryption on the received asset data by the transaction server 4 according to a data communication encryption coding and decoding protocol, an asset information circulation operation threshold value and a data circulation coding and decoding algorithm set in the first step, then simultaneously storing the original data and the coded and encrypted asset data in the transaction server 4, transmitting the coded and encrypted asset data to a workstation 1 based on a big data base by the transaction server 4, then generating a statistical list of the asset data to be auctioned by the workstation 1 based on the big data base according to the received data, and establishing at least one data retrieval pointer between the statistical list of the asset data to be auctioned and the data stored in the workstation 1 based on the big data base, finally, generating a mapping file from the data statistics list of the assets to be auctioned and respectively pushing the mapping file to the transaction server 4, the control terminal 5 and the information output terminal 6;
thirdly, asset data is output, a corresponding asset item to be auctioned is selected by the control terminal 5 according to the statistical list information of the asset data to be auctioned, then a relevant retrieval keyword is input by the control terminal 5 according to the needed information, the relevant retrieval keyword is pushed into the workstation 1 based on the big data base, the relevant retrieval keyword is compiled into the data retrieval pointer, finally the workstation 1 based on the big data base decodes the relevant asset data to be auctioned stored in the data retrieval pointer according to the data retrieval pointer, the decoded data is generated into a mapping file, the mapping file is output through the information output terminal 6 on one hand, and is sent to a third-party network platform through the transaction server 4 on the other hand;
in the process of information output, on one hand, the output mapping file information is compared and verified with the data in the transaction server 4 through the information comparison processing server 3, and can be output after verification is completed; on the other hand, the selected multiple pieces of asset data to be auctioned are pushed to the information comparison processing server 3, comparison calculation is carried out on the multiple pieces of asset data to be auctioned, and a calculation result is output.
It is important to say that, in the second step, when the information acquisition terminal 2 acquires the corresponding asset data to be auctioned and pushes information to the transaction server 4, the pushed asset data to be auctioned starts with the communication address of the current information acquisition terminal 2 and ends with the identification information of the current information acquisition terminal 2, wherein the identification information includes any one or more of the hardware identification number, the software identification number, the position information and the identity information of the operator of the current information acquisition terminal 2.
Meanwhile, in the third step, when asset data is output, the workstation 1 based on big data base counts the using frequency of each search keyword and the corresponding using frequency of the output of the asset data to be auctioned, sorts the using frequencies from high to low so as to obtain the attention ranks of the assets to be auctioned and the attention ranks of the characteristics of the same auction asset, and sends the attention ranks to the third-party network platform through the information output terminal 6 and the transaction server 4 for output.
The system has simple structure, low access difficulty, wide application range, no region limitation, flexible and convenient networking operation, strong system expansion capability, high data communication circulation efficiency and good safety and reliability of data circulation operation, and can effectively prevent incomplete data or leakage of the assets to be auctioned caused by data omission and data leakage, thereby improving the efficiency and quality of data management and transmission work of the assets to be auctioned and being beneficial to the smooth development of the auction work.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A circulation method of a big data-based multi-level asset online auction information circulation system is characterized by comprising the following steps:
firstly, hardware networking, namely firstly, setting a plurality of workstations (1) based on a big data base, enabling the workstations (1) based on the big data base to be mutually connected through a communication network, then respectively establishing data connection between the workstations (1) based on the big data base and an information comparison processing server (3), an affair server (4) and an information output terminal (6) through the communication network, respectively establishing data connection between each affair server (4) and an information acquisition terminal (2) and an operation terminal (5), and enabling at least one affair server (4) to be in data connection with an external third-party network platform through the communication network; then, a workstation (1) based on a big data base distributes a communication protocol, a communication address and a data communication encryption coding decoding protocol for an information acquisition terminal (2), an information comparison processing server (3), a transaction server (4), a control terminal (5) and an information output terminal (6) respectively; finally, inputting an asset information circulation operation threshold value, an asset data management and identification keyword, an asset data retrieval keyword and a data circulation coding and decoding algorithm into the transaction server (4) through the control terminal (5), and storing and backing up the input asset information circulation operation threshold value, the asset data management and identification keyword, the asset data retrieval keyword and the data circulation coding and decoding algorithm in the workstation (1) based on the big data base;
secondly, asset data acquisition, after the first step is completed, firstly, the information acquisition terminal (2) acquires corresponding asset data to be auctioned and transmits the asset data to the transaction server (4), then the transaction server (4) encodes and encrypts the received asset data according to the data communication encryption coding and decoding protocol, the asset information circulation operation threshold value and the data circulation coding and decoding algorithm set in the first step, then the original data and the encoded and encrypted asset data are simultaneously stored in the transaction server (4), the transaction server (4) transmits the encoded and encrypted asset data to the workstation (1) based on the big data base, then the workstation (1) based on the big data base generates a statistical list of the asset data to be auctioned according to the received data, and at least one data retrieval finger is established between the statistical list of the asset data to be auctioned and the data stored in the workstation (1) based on the big data base Finally, generating a mapping file from the data statistics list of the assets to be auctioned and respectively pushing the mapping file to the transaction server (4), the control terminal (5) and the information output terminal (6);
thirdly, asset data is output, a corresponding asset item to be auctioned is selected by the control terminal (5) according to the statistical list information of the asset data to be auctioned, then the control terminal (5) is used for knowing information and inputting related retrieval keywords as required, the related retrieval keywords are pushed into the workstation (1) based on the big data base and are compiled into the data retrieval pointer, finally the workstation (1) based on the big data base decodes the related asset data to be auctioned stored in the data retrieval pointer according to the data retrieval pointer, the decoded data is generated into a mapping file, and the mapping file is output through the information output terminal (6) and is sent to a third-party network platform through the transaction server (4);
in the process of information output, the output mapping file information is compared and verified with data in the transaction server (4) through the information comparison processing server (3), and can be output after verification is completed; and pushing the selected multiple asset data to be auctioned to an information comparison processing server (3), performing comparison operation on the multiple asset data to be auctioned, and outputting an operation result.
2. The circulation method of claim 1, wherein: in the second step, when the information acquisition terminal (2) acquires the corresponding asset data to be auctioned and pushes information to the transaction server (4), the pushed asset data to be auctioned starts with the communication address of the current information acquisition terminal (2) and ends with the identification information of the current information acquisition terminal (2), wherein the identification information comprises any one or more of the hardware identification number, the software identification number, the position information and the identity information of the operator of the current information acquisition terminal (2).
3. The circulation method of claim 1, wherein: and thirdly, when asset data is output, counting the use frequency of each retrieval keyword and the corresponding output use frequency of the asset data to be auctioned by the workstation (1) based on the big data base, sequencing the retrieval keyword and the corresponding output use frequency of the asset data to be auctioned from high to low according to the use frequencies, thereby obtaining the attention degree sequence of each asset to be auctioned and the attention degree sequence of each feature of the same auction asset, and sending the attention degree sequence to a third-party network platform for output through the information output terminal (6) and the transaction server (4).
4. The circulation method of claim 1, wherein: a multi-level asset online auction information transfer system comprises a workstation (1) based on big data base, an information acquisition terminal (2), an information comparison processing server (3), a transaction server (4), a control terminal (5) and an information output terminal (6), wherein the transaction servers (4) are a plurality of, the transaction servers (4) are connected with each other through a communication network, the transaction server (4) is connected with a plurality of information acquisition terminals (2) and a plurality of control terminals (5) through a communication network, and each transaction server (4) is additionally connected with at least one big data base-based workstation (1) through a communication network, the workstation (1) based on the big data base is connected with at least one information comparison processing server (3) and an information output terminal (6) through a communication network.
5. The circulation method of claim 4, wherein: the method is characterized in that: the transaction server (4) comprises a data processing sub-server, a coding and decoding sub-server and a data caching sub-server based on cloud computing, wherein the data processing sub-server based on cloud computing is respectively connected with the coding and decoding sub-server, the data caching sub-server, the workstation (1) based on a big data base, the information acquisition terminal (2) and the control terminal (5) through a communication network, the coding and decoding sub-server and the data caching sub-server which are connected with each data processing sub-server (41) based on cloud computing are all a plurality of, and the coding and decoding sub-server and the data caching sub-server which are connected with the same data processing sub-server based on cloud computing are mutually connected in parallel.
6. The circulation method of claim 4, wherein: the method is characterized in that: the transaction servers (4) are connected with a communication network through relay servers (7), at least two relay servers (7) are arranged, and the relay servers (7) are connected with each other through the communication network.
7. The circulation method of claim 4, wherein: the method is characterized in that: the information acquisition terminal (2) is any one of an industrial computer, a PC computer, a mobile communication terminal, a scanner, a camera and a microphone, and the control terminal (5) and the information output terminal (6) are any one of a PC computer, a mobile communication terminal, a display, a printer and an industrial computer.
8. The circulation method of claim 7, wherein: the information acquisition terminal (2), the control terminal (5) and the information output terminal (6) are all provided with identity recognition devices, and the information acquisition terminal (2) and the control terminal (5) are additionally provided with satellite positioning devices.
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Denomination of invention: A multi-level asset online auction information flow system and method based on Big data Effective date of registration: 20230612 Granted publication date: 20220301 Pledgee: China Construction Bank Corporation Nanjing Jianye sub branch Pledgor: Nanjing zhist Technology Co.,Ltd. Registration number: Y2023980043509 |