CN111221802A - Digital asset risk management and control system and method based on big data - Google Patents
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Abstract
The invention discloses a digital asset risk management and control system based on big data and a method thereof, wherein the system comprises a cloud platform server, a system data layer, a system operation layer and a system function layer, the system data layer comprises a networking big database and an enterprise asset database, and the networking big database and the enterprise asset database are both in bidirectional connection with the cloud platform server. The digital asset risk management and control system and method based on big data can realize standard data source processing, prevent the occurrence of situations of invalid data processing and disordered processing flow, save a large amount of manpower and material resources, carry out clear classification planning processing on system data assets, greatly improve the processing rate, avoid the situations of idle data assets and low-efficiency decision making, and well realize the rapid processing management and control on the data assets in a cleaning and high-efficiency manner, thereby greatly facilitating the data asset management and control work of users.
Description
Technical Field
The invention relates to the technical field of digital asset supervision, in particular to a digital asset risk management and control system and a digital asset risk management and control method based on big data.
Background
Big data is a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, is a massive, high-growth rate and diversified information asset which needs a new processing mode to have stronger decision making power, insight discovery power and flow optimization capability, and has the 5V characteristics of big data (proposed by IBM): volume (large amount), Velocity (high speed), Variety (diverse), Value (low Value density), Veracity (reality), and for data asset management, various management activities are taken by enterprises or organizations to ensure the safety and integrity of the data asset, and reasonable configuration and effective utilization are adopted, so that the economic benefit brought is improved, and the development of various careers is ensured and promoted.
At present, when data asset management is carried out, most of data assets are managed by directly adopting a function single management framework system, however, the data source processing of the management and control method is not standard, invalid data processing is easy to result, the processing flow is disordered, a large amount of manpower and material resources can be wasted, meanwhile, data planning and processing are disordered, the data assets are processed slowly, the data assets are often idle, low-efficiency decision is caused, quick processing and control on the data assets by cleaning and high efficiency cannot be realized, a risk safety processing unit can not be added into the asset management and control system, the purpose of reducing the safety risk of the data asset processing system can not be achieved, and therefore great inconvenience is brought to the data asset management and control work of a user.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a digital asset risk management and control system based on big data and a method thereof, and solves the problems that the data source processing of the management and control method is not standard, invalid data processing is easy to cause, the processing flow is disordered, a large amount of manpower and material resources are wasted, simultaneously data planning processing is disordered and slow in processing, data assets are often idle, low-efficiency decision is caused, quick processing and control on the data assets in a cleaning and high-efficiency mode cannot be realized, and the purpose of reducing the safety risk of the data asset processing system by adding a risk safety processing unit into the asset management and control system cannot be achieved.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a digital asset risk management and control system based on big data comprises a cloud platform server, a system data layer, a system operation layer and a system function layer, wherein the system data layer comprises a networking big database and an enterprise asset database which are both in bidirectional connection with the cloud platform server, the system operation layer comprises an enterprise user application end, a personal user application end, a third-party communication platform, a data asset evaluation module, a data asset operation module and a data asset open management module, the system function layer comprises a data intelligent subchannel extracting module, a data asset planning unit, a system operation monitoring module, a data asset processing unit and a data asset safety management unit, the data intelligent subchannel extracting module, the data asset planning unit, the system operation monitoring module, the data asset processing unit and the data asset safety management unit are all in bidirectional connection with the cloud platform server, and the output end of the data intelligent sub-channel extraction module is connected with the input end of the data asset planning unit, and the output ends of the data asset planning unit and the data asset safety management unit are both connected with the input end of the data asset processing unit.
Preferably, the data asset planning unit comprises a data framework management module, a data standardization module, a dimension table standardization module, a data index standardization module, a data query path planning module and a data asset operation and maintenance module, and the output ends of the data framework management module, the data standardization module, the dimension table standardization module, the data index standardization module and the data query path planning module are all connected with the input end of the data asset operation and maintenance module.
Preferably, the data asset processing unit comprises a data model design module, a data application processing development module, a data test module, a data micro-processing module and a data transmission module, wherein the data model design module, the data application processing development module and the data test module are all in bidirectional connection with the data micro-processing module, and the output end of the data micro-processing module is connected with the input end of the data transmission module.
Preferably, the enterprise user application end, the personal user application end, the data asset evaluation module, the data asset operation module and the data asset open management module are all in bidirectional connection with the cloud platform server, and the personal user application end is in wireless bidirectional connection with the enterprise user application end through the third-party communication platform.
Preferably, the enterprise user application end and the personal user application end are connected with the data asset security management unit in a bidirectional mode, and the output ends of the networking big database and the enterprise asset database are connected with the input end of the data intelligent sub-channel extraction module.
Preferably, the enterprise user application end comprises a financial risk identification module, a credit investigation management module, a government public opinion management module, a multidimensional operation report generation module and a data operation diagnosis module.
Preferably, the data asset security management unit comprises a security policy management module, a security vulnerability check module, an authority application distribution module and a data security audit module.
The invention also discloses a management and control method of the digital asset risk management and control system based on the big data, which specifically comprises the following steps:
s1, firstly, the personal user can interact with the whole system through the personal user application end, the personal user application end can be in butt joint with the enterprise user application end through a third-party communication platform, and risk identification, enterprise credit investigation management, policy condition, multi-item operation report analysis and operation diagnosis of asset data are respectively carried out through a financial risk identification module, a credit investigation management module, a government public opinion management module, a multi-dimensional operation report generation module and a data operation diagnosis module in the enterprise user application end;
s2, the user can respectively carry out butt joint control with the system function layer through the cloud platform server, the cloud platform server can control the data intelligent sub-channel extraction module to respectively extract required data from the enterprise asset database and the networking big database, and the extracted data are transmitted to the data asset planning unit to be processed;
s3, the data asset operation and maintenance module in the data asset planning unit can respectively control the data framework management module, the data standardization module, the dimension table standardization module, the data index standardization module and the data query path planning module to carry out data framework management, data standardization, dimension table standardization and data query path planning, so that various function planning and processing of data are completed;
s4, after the data is planned in the step S3, the data can be processed by the data asset processing unit, but before the processing, the system security inspection is carried out by a security policy management module, a security vulnerability check module, a permission application distribution module and a data security audit module in the data asset security management unit;
s5, after the safety inspection is passed, the data asset processing unit can respectively control the data model design module, the data application processing development module and the data test module to process data through the data micro-processing module, and transmits a processed result to the cloud platform server through the data transmission module and finally to the user terminal;
and S6, the user can perform personal asset assessment, asset operation and asset open management through the data asset assessment module, the data asset operation module and the data asset open management module respectively.
(III) advantageous effects
The invention provides a digital asset risk management and control system and method based on big data. Compared with the prior art, the method has the following beneficial effects:
(1) the system comprises an enterprise user application end, a personal user application end, a third-party communication platform, a data asset evaluation module, a data asset operation module and a data asset open management module through a system operation layer, a system function layer comprises a data intelligent subchannel extraction module, a data asset planning unit, a system operation monitoring module, a data asset processing unit and a data asset safety management unit, the data intelligent subchannel extraction module, the data asset planning unit, the system operation monitoring module, the data asset processing unit and the data asset safety management unit are all in bidirectional connection with a cloud platform server, the output end of the data intelligent subchannel extraction module is connected with the input end of the data asset planning unit, the output ends of the data asset planning unit and the data asset safety management unit are all connected with the input end of the data asset processing unit, the data asset management and control system has the advantages that standard data source processing can be realized, invalid data processing and chaotic processing flow are prevented, a large amount of manpower and material resources are saved, clear classification planning processing is conducted on system data assets, processing speed is greatly improved, the situation that data assets are idle and low-efficiency decision making is avoided, the data assets are rapidly processed and controlled well, cleaning and efficient are achieved, and accordingly data asset management and control work of users is greatly facilitated.
(2) According to the digital asset risk management and control system and method based on big data, the data asset security management unit comprises the security policy management module, the security vulnerability check module, the permission application allocation module and the data security audit module, so that security inspection can be performed on the system, and the purpose of reducing the security risk of the data asset processing system by adding the risk security processing unit into the asset management and control system is achieved well.
(3) According to the digital asset risk management and control system and method based on big data, the enterprise user application end comprises a financial risk identification module, a credit investigation management module, a government public opinion management module, a multidimensional operation report generation module and a data operation diagnosis module, so that good asset data risk identification, enterprise credit investigation management, policy conditions, multi-item operation report analysis and operation diagnosis can be performed on enterprise data assets.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of the data asset planning unit of the present invention;
FIG. 3 is a schematic block diagram of the construction of a data asset processing unit of the present invention;
fig. 4 is a schematic block diagram of the structure of the data asset security management unit of the present invention.
In the figure, 1 cloud platform server, 2 system data layers, 21 networking big database, 22 enterprise asset database, 3 system operation layers, 31 enterprise user application end, 311 financial risk identification module, 312 credit investigation management module, 313 government public opinion management module, 314 multidimensional operation report generation module, 315 data operation diagnosis module, 32 personal user application end, 33 third party communication platform, 34 data asset evaluation module, 35 data asset operation module, 36 data asset open management module, 4 system functional layers, 41 data intelligent sub-channel extraction module, 42 data asset planning unit, 421 data framework management module, 422 data standardization module, 423 dimension table standardization module, 424 data index standardization module, 425 data query path planning module, 426 data asset operation and maintenance module, 43 system operation monitoring module, 44 data asset processing unit, The system comprises a 441 data model design module, a 442 data application processing development module, a 443 data test module, a 444 data microprocessing module, a 445 data transmission module, a 45 data asset security management unit, a 451 security policy management module, a 452 security vulnerability check module, a 453 authority application allocation module and a 454 data security audit module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a digital asset risk management and control system based on big data comprises a cloud platform server 1, a system data layer 2, a system operation layer 3 and a system function layer 4, wherein the system data layer 2 comprises a networking big database 21 and an enterprise asset database 22, the networking big database 21 and the enterprise asset database 22 are connected with the cloud platform server 1 in a two-way mode, the system operation layer 3 comprises an enterprise user application end 31, a personal user application end 32, a third-party communication platform 33, a data asset evaluation module 34, a data asset operation module 35 and a data asset open management module 36, the system function layer 4 comprises a data intelligent sub-channel extraction module 41, a data asset planning unit 42, a system operation monitoring module 43, a data asset processing unit 44 and a data asset safety management unit 45, the data intelligent sub-channel extraction module 41, the data planning unit 42, the data asset safety management unit 42, The system operation monitoring module 43, the data asset processing unit 44 and the data asset safety management unit 45 are all in bidirectional connection with the cloud platform server 1, the output end of the data intelligent sub-channel extraction module 41 is connected with the input end of the data asset planning unit 42, the output ends of the data asset planning unit 42 and the data asset safety management unit 45 are both connected with the input end of the data asset processing unit 44, the data asset planning unit 42 comprises a data framework management module 421, a data standardization module 422, a dimension table standardization module 423, a data index standardization module 424, a data query path planning module 425 and a data asset operation and maintenance module 426, the output ends of the data framework management module 421, the data standardization module 422, the dimension table standardization module 423, the data index standardization module 424 and the data query path planning module 425 are all connected with the input end of the data asset operation and maintenance module 426, the data asset processing unit 44 comprises a data model design module 441, a data application processing development module 442, a data test module 443, a data micro-processing module 444 and a data transmission module 445, wherein the data model design module 441, the data application processing development module 442 and the data test module 443 are all bidirectionally connected with the data micro-processing module 444, the output end of the data micro-processing module 444 is connected with the input end of the data transmission module 445, the enterprise user application terminal 31, the personal user application terminal 32, the data asset evaluation module 34, the data asset operation module 35 and the data asset open management module 36 are all bidirectionally connected with the cloud platform server 1, the personal user application terminal 32 is wirelessly and bidirectionally connected with the enterprise user application terminal 31 through the third party communication platform 33, and the enterprise user application terminal 31 and the personal asset user application terminal 32 are both bidirectionally connected with the data security management unit 45, the output ends of the networked big database 21 and the enterprise asset database 22 are connected to the input end of the data intelligent sub-channel extraction module 41, the enterprise user application end 31 includes a financial risk identification module 311, a credit investigation management module 312, a government public opinion management module 313, a multidimensional operation report generation module 314 and a data operation diagnosis module 315, and the data asset security management unit 45 includes a security policy management module 451, a security vulnerability check module 452, an authority application allocation module 453 and a data security audit module 454.
The invention also discloses a management and control method of the digital asset risk management and control system based on the big data, which specifically comprises the following steps:
s1, firstly, the personal user can interact with the whole system through the personal user application end 32, the personal user application end 32 can be in butt joint with the enterprise user application end 31 through the third party communication platform 33, and risk identification, enterprise credit investigation management, policy conditions, multi-item operation statement analysis and operation diagnosis of asset data are respectively carried out through the financial risk identification module 311, credit investigation management module 312, government public opinion management module 313, multi-dimensional operation statement generation module 314 and data operation diagnosis module 315 in the enterprise user application end 31;
s2, the user can respectively carry out butt joint control with the system function layer 4 through the cloud platform server 1, the cloud platform server 1 can control the data intelligent sub-channel extraction module 41 to respectively extract required data from the enterprise asset database 22 and the networking big database 21, and the extracted data are transmitted to the data asset planning unit 42 to be processed;
s3, the data asset operation and maintenance module 426 in the data asset planning unit 42 can respectively control the data framework management module 421, the data standardization module 422, the dimension table standardization module 423, the data index standardization module 424 and the data query path planning module 425 to perform data framework management, data standardization, dimension table standardization and data query path planning, thereby completing various function planning and processing of data;
s4, after the data is planned in step S3, the data may be processed by the data asset processing unit 44, but before the data is processed, the system security check needs to be performed by the security policy management module 451, the security vulnerability check module 452, the permission application allocation module 453, and the data security audit module 454 in the data asset security management unit 45;
s5, after the security check is passed, the data asset processing unit 44 may control the data model design module 441, the data application processing development module 442, and the data testing module 443 to process data through the data micro-processing module 444, and transmit the processed result to the cloud platform server 1 through the data transmission module 445, and finally to the user terminal;
s6, the user can perform personal asset assessment, asset operation and asset open management through the data asset assessment module 34, the data asset operation module 35 and the data asset open management module 35, respectively.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a digital asset risk management and control system based on big data, includes cloud platform server (1), system data layer (2), system operation layer (3) and system functional layer (4), system data layer (2) are including networking big database (21) and enterprise asset database (22), networking big database (21) and enterprise asset database (22) all realize two-way connection with cloud platform server (1), its characterized in that: the system operation layer (3) comprises an enterprise user application end (31), a personal user application end (32), a third-party communication platform (33), a data asset evaluation module (34), a data asset operation module (35) and a data asset open management module (36), the system function layer (4) comprises a data intelligent sub-channel extraction module (41), a data asset planning unit (42), a system operation monitoring module (43), a data asset processing unit (44) and a data asset safety management unit (45), the data intelligent sub-channel extraction module (41), the data asset planning unit (42), the system operation monitoring module (43), the data asset processing unit (44) and the data asset safety management unit (45) are all in bidirectional connection with the cloud platform server (1), and the output end of the data intelligent sub-channel extraction module (41) is connected with the input end of the data asset planning unit (42), the output ends of the data asset planning unit (42) and the data asset safety management unit (45) are connected with the input end of the data asset processing unit (44).
2. The big data-based digital asset risk management and control system according to claim 1, wherein: the data asset planning unit (42) comprises a data framework management module (421), a data standardization module (422), a dimension table standardization module (423), a data index standardization module (424), a data query path planning module (425) and a data asset operation and maintenance module (426), wherein the output ends of the data framework management module (421), the data standardization module (422), the dimension table standardization module (423), the data index standardization module (424) and the data query path planning module (425) are connected with the input end of the data asset operation and maintenance module (426).
3. The big data-based digital asset risk management and control system according to claim 1, wherein: the data asset processing unit (44) comprises a data model design module (441), a data application processing development module (442), a data test module (443), a data microprocessing module (444) and a data transmission module (445), wherein the data model design module (441), the data application processing development module (442) and the data test module (443) are all in bidirectional connection with the data microprocessing module (444), and the output end of the data microprocessing module (444) is connected with the input end of the data transmission module (445).
4. The big data-based digital asset risk management and control system according to claim 1, wherein: the enterprise user application end (31), the personal user application end (32), the data asset evaluation module (34), the data asset operation module (35) and the data asset open management module (36) are all in bidirectional connection with the cloud platform server (1), and the personal user application end (32) is in wireless bidirectional connection with the enterprise user application end (31) through the third-party communication platform (33).
5. The big data-based digital asset risk management and control system according to claim 1, wherein: the enterprise user application end (31) and the personal user application end (32) are connected with the data asset safety management unit (45) in a bidirectional mode, and the output ends of the networking big database (21) and the enterprise asset database (22) are connected with the input end of the data intelligent sub-channel extraction module (41).
6. The big data-based digital asset risk management and control system according to claim 1, wherein: the enterprise user application end (31) comprises a financial risk identification module (311), a credit investigation management module (312), a government public opinion management module (313), a multi-dimensional operation report generation module (314) and a data operation diagnosis module (315).
7. The big data-based digital asset risk management and control system according to claim 1, wherein: the data asset security management unit (45) comprises a security policy management module (451), a security vulnerability check module (452), a permission application allocation module (453) and a data security audit module (454).
8. The big data-based digital asset risk management and control system according to any one of claims 1-7, wherein: the control method specifically comprises the following steps:
s1, firstly, a personal user can interact with the whole system through a personal user application end (32), the personal user application end (32) can be in butt joint with an enterprise user application end (31) through a third-party communication platform (33), and risk identification, enterprise credit investigation management, policy conditions, multi-item operation statement analysis and operation diagnosis of asset data are respectively carried out through a financial risk identification module (311), a credit investigation management module (312), a government public opinion management module (313), a multi-dimensional operation statement generation module (314) and a data operation diagnosis module (315) in the enterprise user application end (31);
s2, a user can respectively carry out butt joint control on the cloud platform server (1) and the system function layer (4), the cloud platform server (1) can control the data intelligent sub-channel extraction module (41) to respectively extract required data from the enterprise asset database (22) and the networking big database (21), and the extracted data are transmitted to the data asset planning unit (42) to be processed;
s3, the data asset operation and maintenance module (426) in the data asset planning unit (42) can respectively control the data framework management module (421), the data standardization module (422), the dimension table standardization module (423), the data index standardization module (424) and the data query path planning module (425) to carry out data framework management, data standardization, dimension table standardization and data query path planning, so that various function planning and processing on data are completed;
s4, after the data is planned in the step S3, the data can be processed by the data asset processing unit (44), but before the data is processed, the system security inspection is carried out by the security policy management module (451), the security vulnerability check module (452), the authority application allocation module (453) and the data security audit module (454) in the data asset security management unit (45);
s5, after the safety inspection is passed, the data asset processing unit (44) can respectively control the data model design module (441), the data application processing development module (442) and the data testing module (443) to process data through the data microprocessing module (444), transmit a processed result to the cloud platform server (1) through the data transmission module (445), and finally transmit the processed result to the user terminal;
s6, the user can carry out personal asset assessment, asset operation and asset open management through the data asset assessment module (34), the data asset operation module (35) and the data asset open management module (35) respectively.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112215505A (en) * | 2020-10-19 | 2021-01-12 | 国网山东省电力公司电力科学研究院 | Data security intelligent management and control platform suitable for electric power industry |
| CN112651027A (en) * | 2020-12-30 | 2021-04-13 | 北京嘀嘀无限科技发展有限公司 | Data risk prediction method, apparatus, device, storage medium and program product |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112215505A (en) * | 2020-10-19 | 2021-01-12 | 国网山东省电力公司电力科学研究院 | Data security intelligent management and control platform suitable for electric power industry |
| CN112651027A (en) * | 2020-12-30 | 2021-04-13 | 北京嘀嘀无限科技发展有限公司 | Data risk prediction method, apparatus, device, storage medium and program product |
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