CN114356937B - Financial information management system based on block chain and big data - Google Patents
Financial information management system based on block chain and big data Download PDFInfo
- Publication number
- CN114356937B CN114356937B CN202210018738.5A CN202210018738A CN114356937B CN 114356937 B CN114356937 B CN 114356937B CN 202210018738 A CN202210018738 A CN 202210018738A CN 114356937 B CN114356937 B CN 114356937B
- Authority
- CN
- China
- Prior art keywords
- unit
- financial information
- block
- evaluation
- identity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention discloses a financial information management system based on a block chain and big data, which comprises: a block unit for recording financial information of a corresponding target; the management unit is used for storing the financial information of each block unit; the big data evaluation unit is used for carrying out data evaluation on the block units and generating evaluation signals; a transmitting unit that transfers the financial information in the block unit to be stored in the management unit based on the evaluation signal; a branch unit which connects the block unit and the management unit; the management unit is connected with the branch units, and the branch units are connected with the block units to jointly form a management system, so that the management and control program and the traceability program of the existing block chain can be reduced, and the risk of tampering the stored data of the block chain is greatly reduced.
Description
Technical Field
The invention relates to the field of block chains, in particular to a financial information management system based on a block chain and big data.
Background
In the related art, when each sub-block in the block chain performs data transmission, the stored block cannot be intelligently selected according to big data.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art.
According to the financial information management system based on the block chain and the big data, the financial information management system based on the block chain and the big data comprises the following components:
a block unit for recording financial information of a corresponding target;
the management unit is used for storing the financial information of each block unit;
the big data evaluation unit is used for carrying out data evaluation on the block units and generating evaluation signals;
a transmitting unit that transfers the financial information in the block unit to be stored in the management unit based on the evaluation signal;
a branch unit which connects the block unit and the management unit;
the management unit is connected with the plurality of branch units, and the branch units are connected with the plurality of block units to jointly form a management system.
Further, the big data evaluation unit is configured to perform data evaluation on the block unit, and generate the evaluation signal includes:
and acquiring the data storage rate and the data value rate of the block unit, if the ratio of the data value rate to the data storage rate is greater than a preset threshold value, generating an evaluation signal, otherwise, not generating the evaluation signal.
Further, the obtaining the data storage rate of the block unit includes:
acquiring the number of content nodes in the financial information, and marking the number as Gi, wherein i is greater than or equal to 0;
acquiring the number of block units in the branch units corresponding to the financial information, and marking the number as Hi, wherein i is larger than 0;
the data storage rate is obtained by the ratio of Gi to Hi.
Further, the obtaining the data value rate of the block unit includes:
the method comprises the steps of obtaining time nodes of financial information corresponding to preset days, obtaining an average value of the financial information corresponding to each time node, forming an average value set, and obtaining a data value rate according to a ratio of the sum of a plurality of average values in the average value set to the number of the time nodes.
Further, the block unit decomposes the financial information of the corresponding target into an identity node, a time node and a content node;
the identity nodes are used for recording identity information of corresponding targets, and the identity nodes in the block chain are not repeated;
the content node comprises financial subdata generated by identity information;
the time node is used to time stamp each piece of financial information.
Further, the transmitting unit transferring the financial information in the block unit to be stored in the management unit based on the evaluation signal includes:
marking the branch unit connected with the block unit to be transferred as an evaluation branch unit;
marking the rest block units in the evaluation branch unit as path block units;
obtaining the times of generating evaluation signals by the path block unit, and obtaining the formula Sy ═ Y n ×Φ n Deriving n of the way block unit
A target transition value Sy, where n denotes the maximum number of a pass block unit, y denotes the number of times an evaluation signal is generated, and n represents an adjustment coefficient;
obtaining a preselected transfer arrangement according to the sequence of the target transfer value Sy from large to small;
acquiring historical connection times of the evaluation branch unit and the path block unit, wherein the evaluation branch unit and the path block unit perform financial information transfer once, namely the historical connection times of the evaluation branch unit and the path block unit are increased once;
selecting an approach block unit with the historical connection times larger than a threshold value and the maximum target transfer value Sy as a transfer auditing unit;
the transfer auditing unit establishes data connection with the block unit to be transferred, copies the financial information in the block unit to be transferred and uploads the financial information to the management unit.
Further, the average value includes:
acquiring preset days, wherein the preset days are more than or equal to Hi;
by the formula
Obtaining an average value pj, wherein r1 represents the number of content nodes under the corresponding time node when the preset number of days starts; rn represents the number of content nodes under the corresponding time node when the preset number of days is over; ts represents a preset number of days.
Furthermore, a plurality of branch units are arranged in the block chain, the branch units are at least connected with one block unit, and the management unit is at least connected with one branch unit.
Further, the method also comprises the following steps:
acquiring all identity nodes corresponding to the fusion information in the route block unit, and marking as a first identity node;
acquiring all identity nodes corresponding to the fusion information in the block unit to be transferred, and marking the identity nodes as second identity nodes;
when the coincidence degree of the first identity node and the second identity node is larger than the threshold value, the coefficient phi is adjusted n The value is 1, otherwise, the adjustment coefficient phi n The value is 0.5;
wherein, the contact ratio of the first identity node and the second identity node comprises:
the number of times the same identity information in the first identity node and the second identity node coincide.
An intelligent terminal device comprising a memory, a processor and an application program stored on the memory and operable on the processor, wherein the processor, when executing the program, implements a financial information management system based on blockchains and big data as described above. .
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "transverse," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, but are not intended to indicate or imply that the device or element so referred to must have a particular orientation, be constructed and operated in a particular orientation, and are not to be construed as limiting the invention.
In the description of the present invention, "a first feature" or "a second feature" may include one or more of the features, and "a plurality" means two or more, and the first feature may be "on" or "under" the second feature, and may include the first and second features being in direct contact, or may include the first and second features being not in direct contact but being in contact with another feature therebetween, and the first feature being "on", "above" and "above" the second feature may include the first feature being directly above and obliquely above the second feature, or merely indicating that the first feature is higher in level than the second feature.
A financial information management system based on a block chain and big data according to an embodiment of the present invention will be described below with reference to the accompanying drawings.
Referring to fig. 1, a financial information management system based on a block chain and big data according to an embodiment of the present invention may include: the system comprises a block unit, a management unit, a big data evaluation unit, a sending unit and a branch unit.
Specifically, only one management unit is arranged in the block chain and used as a source of management and control and is responsible for data query, management, authority setting and the like, and the management unit has the highest authority in the block chain, so that the management unit can be regarded as a terminal of the block chain, and an enterprise or a user can complete management and control of financial information in the block chain by querying data in the management unit through production, and meanwhile, the enterprise or the user only accesses the management unit, so that interference of the query on other data in the block chain can be reduced, and risks such as tampering source data and the like are avoided.
Meanwhile, each block chain is internally provided with at least one branch unit, the financial information management system can be analogized to a tree model, wherein the management unit can be regarded as a trunk of the tree model, the branch unit can be analogized to a branch of the tree model, the branch unit is connected to the trunk, namely the management unit, and the branches are not connected with each other; the branch units can be classified and managed according to the types of the block units, so that more efficient management is realized;
in an embodiment, a plurality of branch units are arranged in the block chain, the branch units are connected with at least one block unit, and the management unit is connected with at least one branch unit.
In some embodiments, the branch unit is voted and elected through a block unit inside the branch unit, and when the branch unit generates risks and is forbidden, the block unit connected with the branch unit is forbidden at the same time, so that the selection and recording of the block unit can be standardized through the branch unit, and the reliability of source data is ensured, wherein the forbidden branch unit is flexibly configured through the management unit.
In one embodiment, the block unit is used as the smallest block and is responsible for recording financial information corresponding to a target, where the target is a broad term and may refer to an enterprise or a single product, where no specific requirement is made on the target, when the block unit has recorded the financial information, the big data evaluation unit performs data evaluation on the block unit and generates an evaluation signal, where the big data evaluation unit is not in a block chain, so that the data evaluation can be prevented from being affected by the block, and is favorable for fair development of the data evaluation, and when the big data evaluation unit generates the evaluation signal for the block unit of the data evaluation, the sending unit transfers the financial information in the block unit to the management unit for storage, at this time, a user and the enterprise can manage and control the financial information stored in the management unit, and the large data evaluation unit performs screening on the user contact ratio for the approach block unit and the evaluation branch unit, the method is favorable for avoiding the risks of data disorder and falsification caused by high contact ratio of users between the path block unit and the evaluation branch unit.
The financial information management system based on the blockchain and the big data has the beneficial technical effects, so that the financial information management system based on the blockchain and the big data can reduce the management and control program and the source tracing program of the existing blockchain, and greatly reduce the risk of tampering the stored data of the blockchain.
A financial information management system based on a blockchain and big data according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings, it being understood that the following description is illustrative only and not to be construed as limiting the invention.
In some specific embodiments, the management system comprises the following elements:
a block unit for recording financial information of a corresponding target;
the management unit is used for storing the financial information of each block unit;
the big data evaluation unit is used for carrying out data evaluation on the block units and generating evaluation signals;
a transmitting unit that transfers the financial information in the block unit to be stored in the management unit based on the evaluation signal;
a branch unit that connects the block unit with the management unit;
the management unit is connected with the plurality of branch units, and the branch units are connected with the plurality of block units.
In some specific embodiments, the block unit may collect a plurality of different devices or items, in this case, the block unit may be classified according to the types of the devices or items, and the classified block unit is referred to as a branch unit for connecting the block unit and the management unit, so that the simplest model of the present application is a block chain formed by connecting one management unit and one branch unit.
In some embodiments, the block unit may collect financial information for several different devices or projects, including an identity node, a time node, a content node;
the identity node is used for recording the identity information of the corresponding target, and the identity nodes in the blockchain are not repeated, wherein the identity information of the target can be understood as the number of financial information equipment or an individual and is not repeated in the blockchain.
The content node includes financial information generated by the identity information.
The time node is used for time-stamping each piece of financial information, and in some specific embodiments, for example, 12/27/15/13/2021, a content node packet is generated, and then correspondingly, the time node is 12/27/15/13/2021, it should be understood that the above specific embodiment is only an example of the present application, and the expression of other time nodes should also belong to the protection scope of the present application.
In some embodiments, the big data evaluation unit is configured to perform data evaluation on the block unit, and generating the evaluation signal includes:
acquiring the data storage rate and the data value rate of the block unit, if the ratio of the data value rate to the data storage rate is greater than a preset threshold value, generating an evaluation signal, otherwise, not generating the evaluation signal;
specifically, the number of content nodes in the financial information is acquired and marked as Gi, i is greater than or equal to 0; acquiring the number of block units in the branch units corresponding to the financial information, and marking the number as Hi, wherein i is larger than 0; the data storage rate is obtained by the ratio of Gi to Hi.
The method comprises the steps of obtaining time nodes of financial information corresponding to preset days, obtaining an average value of the financial information corresponding to each time node, forming an average value set, and obtaining a data value rate according to a ratio of the sum of a plurality of average values in the average value set to the number of the time nodes.
More specifically, the average value includes:
acquiring preset days, wherein the preset days are more than or equal to Hi;
by the formula
Obtaining an average value pj, wherein r1 represents the number of content nodes under the corresponding time node when the preset number of days starts; rn represents the number of content nodes under the corresponding time node when the preset number of days is over; ts represents a preset number of days.
By calculating the data value rate and the data storage rate of the financial information, the management and control of the data can be completed on the basis of low calculation amount, and the management and control of low power consumption can be realized.
In some embodiments, the transmitting unit transferring the financial information in the block unit to be stored in the management unit based on the evaluation signal includes:
marking the branch unit connected with the block unit to be transferred as an evaluation branch unit;
marking the rest block units in the evaluation branch unit as path block units;
obtaining the number of times of generating evaluation signal by the path block unit, and obtaining the evaluation signal by formula
Obtaining a target transfer value Sy of the path block unit, wherein n represents the maximum number of the path block unit, y represents the number of times of generating the evaluation signal, phi n Represents an adjustment coefficient;
acquiring all identity nodes corresponding to the melting information in the route block unit, and marking as a first identity node;
acquiring all identity nodes corresponding to the fusion information in the block unit to be transferred, and marking the identity nodes as second identity nodes;
when the coincidence degree of the first identity node and the second identity node is larger than the threshold value, the coefficient phi is adjusted n The value is 0.5, otherwise, the adjustment coefficient phi n The value is 1;
wherein, the contact ratio of the first identity node and the second identity node comprises:
the number of times the same identity information in the first identity node and the second identity node coincide.
By screening the coincidence degree of the users for the path block unit and the evaluation branch unit, the risk of data disorder and crosstalk caused by high coincidence degree of the users between the path block unit and the evaluation branch unit is avoided.
Obtaining a preselected transfer arrangement according to the sequence of the target transfer value Sy from large to small;
acquiring historical connection times of the evaluation branch unit and the path block unit, wherein the evaluation branch unit and the path block unit transfer financial information once, namely the historical connection times of the evaluation branch unit and the path block unit are increased once;
selecting the path block unit with the historical connection times larger than a threshold value and the maximum target transfer value Sy as a transfer auditing unit;
the transfer auditing unit establishes data connection with the block unit to be transferred, copies the financial information in the block unit to be transferred and uploads the financial information to the management unit.
The sending unit can avoid the modification of the branch unit (namely the branch unit connected with the block unit) of the block unit to the data, and ensure the accuracy of the data.
In addition, the application is also provided with an intelligent terminal device which comprises a memory, a processor and an application program which is stored on the memory and can run on the processor, wherein the processor realizes a financial information management system based on a block chain and big data when executing the program, and provides hardware support for the block chain.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
In the description herein, references to the description of the terms "embodiment," "particular embodiment," "example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (9)
1. A financial information management system based on blockchains and big data, comprising:
a block unit for recording financial information of a corresponding target;
the management unit is used for storing the financial information of each block unit;
the big data evaluation unit is used for carrying out data evaluation on the block units and generating evaluation signals;
a transmitting unit that transfers the financial information in the block unit to be stored in the management unit based on the evaluation signal;
the branch unit is used for communicating the block unit with the management unit;
the management unit is connected with a plurality of branch units, and the branch units are connected with a plurality of block units to jointly form a management system;
marking the branch unit connected with the block unit to be transferred as an evaluation branch unit;
marking the rest block units in the evaluation branch unit as path block units;
obtaining the number of times of generating evaluation signal by the path block unit, and obtaining the evaluation signal by formula
A target transition value Sy of the path block unit is obtained, where n denotes a maximum number of the path block unit, y denotes a number of times of generating the evaluation signal,
represents an adjustment coefficient;
obtaining a preselected transfer arrangement according to the sequence of the target transfer value Sy from large to small;
acquiring historical connection times of the evaluation branch unit and the path block unit, wherein the evaluation branch unit and the path block unit transfer financial information once, namely the historical connection times of the evaluation branch unit and the path block unit are increased once;
selecting the path block unit with the historical connection times larger than a threshold value and the maximum target transfer value Sy as a transfer auditing unit;
the transfer auditing unit establishes data connection with the block unit to be transferred, copies the financial information in the block unit to be transferred and uploads the financial information to the management unit.
2. The financial information management system based on block chains and big data as claimed in claim 1, wherein the big data evaluation unit is configured to perform data evaluation on the block units and generate the evaluation signal including:
and acquiring the data storage rate and the data value rate of the block unit, if the ratio of the data value rate to the data storage rate is greater than a preset threshold value, generating an evaluation signal, otherwise, not generating the evaluation signal.
3. The financial information management system according to claim 2, wherein the obtaining of the data storage rate of the block unit comprises:
acquiring the number of content nodes in the financial information, and marking the number as Gi, wherein i is greater than or equal to 0;
acquiring the number of block units in the branch units corresponding to the financial information, and marking the number as Hi, wherein i is larger than 0;
the data storage rate is obtained by the ratio of Gi to Hi.
4. The system according to claim 3, wherein the obtaining the data value rate of the block unit comprises:
the method comprises the steps of obtaining time nodes of financial information corresponding to preset days, obtaining an average value of the financial information corresponding to each time node, forming an average value set, and obtaining a data value rate according to a ratio of the sum of a plurality of average values in the average value set and the number of the time nodes.
5. The financial information management system based on blockchain and big data according to claim 4, wherein the blockchain unit decomposes the financial information of the corresponding object into an identity node, a time node and a content node;
the identity nodes are used for recording identity information of corresponding targets, and the identity nodes in the block chain are not repeated;
the content node comprises financial subdata generated by identity information;
the time node is used to time stamp each piece of financial information.
6. The system according to claim 4, wherein the average value comprises:
acquiring preset days, wherein the preset days are more than or equal to Hi;
by the formula
Obtaining an average value pj, wherein r1 represents the number of content nodes under the corresponding time node when the preset number of days starts; rn represents the number of content nodes under the corresponding time node when the preset number of days is over; ts represents a preset number of days.
7. The financial information management system according to claim 6 wherein the block chain has a plurality of branch units, and the branch unit is connected to at least one block unit, and the management unit is connected to at least one branch unit.
8. The system for managing financial information based on blockchains and big data according to claim 7, further comprising:
acquiring all identity nodes corresponding to the fusion information in the route block unit, and marking as a first identity node;
acquiring all identity nodes corresponding to the fusion information in the block unit to be transferred, and marking as second identity nodes;
when the coincidence degree of the first identity node and the second identity node is larger than the threshold value, the coefficient is adjusted
The value is 0.5, otherwise, the adjustment coefficient
The value is 1;
wherein, the contact ratio of the first identity node and the second identity node comprises:
the number of times the same identity information in the first identity node and the second identity node coincide.
9. An intelligent terminal device comprising a memory, a processor and an application program stored on the memory and operable on the processor, wherein the processor executes the program to implement a financial information management system based on blockchain and big data according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210018738.5A CN114356937B (en) | 2022-01-09 | 2022-01-09 | Financial information management system based on block chain and big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210018738.5A CN114356937B (en) | 2022-01-09 | 2022-01-09 | Financial information management system based on block chain and big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114356937A CN114356937A (en) | 2022-04-15 |
| CN114356937B true CN114356937B (en) | 2022-08-26 |
Family
ID=81106836
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210018738.5A Active CN114356937B (en) | 2022-01-09 | 2022-01-09 | Financial information management system based on block chain and big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114356937B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109951482A (en) * | 2019-03-19 | 2019-06-28 | 全链通有限公司 | User terminal and its block chain domain name analytic method |
| JP2020046961A (en) * | 2018-09-19 | 2020-03-26 | 富士通株式会社 | Transaction management device, transaction management method and transaction management program |
| CN111737265A (en) * | 2020-07-24 | 2020-10-02 | 支付宝(杭州)信息技术有限公司 | Block data access method, block data storage method and device |
| CN112817968A (en) * | 2021-01-14 | 2021-05-18 | 肖玉连 | Data storage and search method and system based on block chain |
| CN113034274A (en) * | 2020-08-19 | 2021-06-25 | 深圳大学 | Supply chain financial service system and method based on block chain and terminal equipment |
| CN113508409A (en) * | 2019-02-15 | 2021-10-15 | 区块链控股有限公司 | Computer-implemented system and method for effecting transfers over blockchain networks |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180253702A1 (en) * | 2015-11-24 | 2018-09-06 | Gartland & Mellina Group | Blockchain solutions for financial services and other transactions-based industries |
| CN109040305B (en) * | 2018-09-10 | 2021-06-04 | 浙江天脉领域科技有限公司 | Block chain recording method based on hierarchical heterogeneous dynamic topological fragments |
| CN111008201B (en) * | 2020-03-09 | 2020-06-26 | 支付宝(杭州)信息技术有限公司 | Method and apparatus for parallel modification and reading of state trees |
-
2022
- 2022-01-09 CN CN202210018738.5A patent/CN114356937B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2020046961A (en) * | 2018-09-19 | 2020-03-26 | 富士通株式会社 | Transaction management device, transaction management method and transaction management program |
| CN113508409A (en) * | 2019-02-15 | 2021-10-15 | 区块链控股有限公司 | Computer-implemented system and method for effecting transfers over blockchain networks |
| CN109951482A (en) * | 2019-03-19 | 2019-06-28 | 全链通有限公司 | User terminal and its block chain domain name analytic method |
| CN111737265A (en) * | 2020-07-24 | 2020-10-02 | 支付宝(杭州)信息技术有限公司 | Block data access method, block data storage method and device |
| CN113034274A (en) * | 2020-08-19 | 2021-06-25 | 深圳大学 | Supply chain financial service system and method based on block chain and terminal equipment |
| CN112817968A (en) * | 2021-01-14 | 2021-05-18 | 肖玉连 | Data storage and search method and system based on block chain |
Non-Patent Citations (3)
| Title |
|---|
| Abdul Hafizh Firdaus ; I Gusti Bagus Baskara Nugraha.Saving and Loan Transaction System in Cooperative Using Blockchain.《2019 International Conference on ICT for Smart Society (ICISS)》.2020, * |
| 标识解析与区块链技术在"供应链"金融领域应用探索;林荣来等;《网络安全技术与应用》;20200811(第08期);第123-126页 * |
| 金融科技驱动下的金融智能化发展研究;乔海曙等;《求索》;20170928;第53-59页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114356937A (en) | 2022-04-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jacobi et al. | Optimal networks of nature reserves can be found through eigenvalue perturbation theory of the connectivity matrix | |
| CN107545047A (en) | The querying method and terminal device of user right data | |
| US20030200296A1 (en) | Apparatus and method for modeling, and storing within a database, services on a telecommunications network | |
| Ci et al. | Adaptive clustering in wireless sensor networks by mining sensor energy data | |
| CN103631933B (en) | Distributed duplication elimination system-oriented data routing method | |
| CN108959463A (en) | Information sharing method and household appliance and information sharing system and storage medium | |
| CN106777387A (en) | A kind of Internet of Things big data access method based on HBase | |
| CN104598739B (en) | A kind of index system construction method of network-oriented overall efficiency | |
| Su et al. | Efficient skyline query processing in wireless sensor networks | |
| CN110519090A (en) | A kind of accelerator card distribution method, system and the associated component of FPGA cloud platform | |
| CN114356937B (en) | Financial information management system based on block chain and big data | |
| CN108710643A (en) | Data sharing method, device, computer equipment and storage medium | |
| CN110941682A (en) | Efficient and safe decentralized data link service and storage mode | |
| CN112463881B (en) | Efficient block chain system and processing method for cloud edge aggregation computing environment | |
| CN102006305A (en) | Method for suppressing malicious behavior based on distributed recommendable reputation in peer-to-peer (P2P) network | |
| CN110503463A (en) | A kind of shops's Site planning method based on chain industry situation | |
| Ghesmoune et al. | Clustering over data streams based on growing neural gas | |
| CN116383869A (en) | Agricultural product supply chain credible traceability model based on PBFT consensus mechanism and implementation method | |
| Laroche et al. | Abundance-based detectability in a spatially-explicit metapopulation: a case study on a vulnerable beetle species in hollow trees | |
| Dey et al. | Fruit Fly algorithm based clustering protocol in wireless sensor networks | |
| CN116467026A (en) | Cloud desktop data secure sharing and tracing method and system based on blockchain | |
| CN105955710A (en) | Parallel simulation data processing method based on tree communication structure | |
| Walsh et al. | Thwarting p2p pollution using object reputation | |
| WO2020020358A1 (en) | Method and apparatus for determining residence time duration, device, and storage medium | |
| CN113468130A (en) | Block chain-based federal learning model compression defense method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220805 Address after: 10th Floor, Building 8, No. 99, Jiangwancheng Road, Yangpu District, Shanghai, 200433 Applicant after: Shanghai Jike Intelligent Technology Group Co.,Ltd. Address before: 16 / F, Xingguang Yingjing, No. 117, Shuiyin Road, Yuexiu District, Guangzhou, Guangdong 510075 Applicant before: Guangzhou jugao Information Technology Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |