CN113283726A - Block chain asset detection, entry and evaluation system - Google Patents
Block chain asset detection, entry and evaluation system Download PDFInfo
- Publication number
- CN113283726A CN113283726A CN202110532420.4A CN202110532420A CN113283726A CN 113283726 A CN113283726 A CN 113283726A CN 202110532420 A CN202110532420 A CN 202110532420A CN 113283726 A CN113283726 A CN 113283726A
- Authority
- CN
- China
- Prior art keywords
- asset
- information
- block chain
- selecting
- analysis model
- 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.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 44
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000004806 packaging method and process Methods 0.000 claims abstract description 10
- 238000012216 screening Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 5
- 230000005540 biological transmission Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 206010033799 Paralysis Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Development Economics (AREA)
- Evolutionary Computation (AREA)
- Educational Administration (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of asset assessment, in particular to a block chain asset detection, input and assessment system which protects user assets and improves asset assessment accuracy; the method comprises the following steps: the information providing terminal uploads asset information by a terminal user to prepare for packaging; the target block chain node equipment packs the asset information uploaded by the terminal user and attaches the asset information to the block chain; the asset information reading module reads the asset information of the block chain, captures and stores the asset information to be evaluated; an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list; s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship; s3, selecting the asset value evaluation algorithm template, determining the asset value evaluation algorithm and outputting the asset value.
Description
Technical Field
The invention relates to the technical field of asset evaluation, in particular to a block chain asset detection, entry and evaluation system.
Background
In the prior art, a large amount of important data or online transaction records are stored in a trusted third-party platform or mechanism, but the storage mode relying on a central server has a certain risk. Once the third-party platform or mechanism is closed or the server is paralyzed, the asset information and the transaction records of the user can be found without trace, so that the asset accuracy of the user is greatly influenced.
Disclosure of Invention
In order to solve the technical problems, the invention provides a block chain asset detection, entry and evaluation system which protects user assets and improves asset evaluation accuracy.
The invention discloses a block chain asset detection, entry and evaluation system, which comprises:
an information providing terminal: uploading asset information by a terminal user to prepare for packaging;
target blockchain node device: packaging the asset information uploaded by the terminal user and attaching the asset information to the block chain;
an asset information reading module: reading the asset information of the block chain, capturing and storing the asset information to be evaluated;
an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list;
s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship;
s3, selecting the asset value evaluation algorithm template, determining the asset value evaluation algorithm and outputting the asset value.
The block chain asset detection, entry and evaluation system further comprises:
selecting related parameters of the industry, the mechanism property and the scale of the information assets, and screening an asset classification identification frame, an asset relationship analysis model and an asset value evaluation algorithm corresponding to an evaluation object through the parameters;
selecting an asset classification identification frame template, and inputting related asset class definition information to obtain an asset classification identification frame meeting the requirement; according to the asset classification identification framework, performing classification identification and counting on the information assets to obtain an asset classification list;
selecting an asset relationship analysis model, defining the degree of asset dependency relationship, and obtaining an asset relationship analysis model meeting the requirement; according to the asset relationship analysis model, carrying out asset relationship analysis on the information assets listed in the asset classification list to obtain an asset dependency relationship;
selecting an asset value assessment algorithm, defining the grade of asset value assessment, and obtaining the asset value assessment algorithm meeting the requirement; and according to an asset value evaluation algorithm, evaluating the information asset value by using the asset dependency relationship to obtain an asset value report.
The block chain asset detection, entry and evaluation system further comprises:
and the target block chain node equipment refreshes the block chain data every ten minutes, so that the real-time accuracy of the data is ensured.
The block chain asset detection, entry and evaluation system further comprises:
and the target block chain node equipment links the blocks through a Hash algorithm.
The block chain asset detection, entry and evaluation system further comprises:
the asset classification identification framework, the asset relationship analysis model and the asset value assessment algorithm are at least one.
Compared with the prior art, the invention has the beneficial effects that: the block chain technology does not depend on an additional third-party management mechanism or hardware facilities, central control is not needed, information self-verification, transmission and management are achieved by all nodes except the block chain which is integrated by itself through distributed accounting and storage, and network data cannot be manipulated and modified arbitrarily as long as 51% of all data nodes cannot be mastered, so that the block chain becomes relatively safe, subjective and artificial data change is avoided, user assets are protected, and asset evaluation accuracy is improved.
Drawings
FIG. 1 is a schematic structural view of the present invention;
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
A blockchain asset detection entry evaluation system comprising: the information providing terminal uploads asset information by a terminal user to prepare for packaging; the target block chain node equipment packs the asset information uploaded by the terminal user and attaches the asset information to the block chain; the asset information reading module reads the asset information of the block chain, captures and stores the asset information to be evaluated; an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list; s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship;
s3, selecting an asset value evaluation algorithm template, determining an asset value evaluation algorithm and outputting asset value; the block chain technology does not depend on an additional third-party management mechanism or hardware facilities, central control is not needed, information self-verification, transmission and management are achieved by all nodes except the block chain which is integrated by itself through distributed accounting and storage, and network data cannot be manipulated and modified arbitrarily as long as 51% of all data nodes cannot be mastered, so that the block chain becomes relatively safe, subjective and artificial data change is avoided, user assets are protected, and asset evaluation accuracy is improved.
As a preferred technical scheme, the method comprises the following steps: the information providing terminal uploads asset information by a terminal user to prepare for packaging; the target block chain node equipment packs the asset information uploaded by the terminal user and attaches the asset information to the block chain; the asset information reading module reads the asset information of the block chain, captures and stores the asset information to be evaluated; an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list; s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship; s3, selecting an asset value evaluation algorithm template, determining an asset value evaluation algorithm and outputting asset value; selecting related parameters of the industry, the mechanism property and the scale of the information assets, and screening an asset classification identification frame, an asset relationship analysis model and an asset value evaluation algorithm corresponding to an evaluation object through the parameters; selecting an asset classification identification frame template, and inputting related asset class definition information to obtain an asset classification identification frame meeting the requirement; according to the asset classification identification framework, performing classification identification and counting on the information assets to obtain an asset classification list; selecting an asset relationship analysis model, defining the degree of asset dependency relationship, and obtaining an asset relationship analysis model meeting the requirement; according to the asset relationship analysis model, carrying out asset relationship analysis on the information assets listed in the asset classification list to obtain an asset dependency relationship; selecting an asset value assessment algorithm, defining the grade of asset value assessment, and obtaining the asset value assessment algorithm meeting the requirement; and according to an asset value evaluation algorithm, evaluating the information asset value by using the asset dependency relationship to obtain an asset value report.
As a preferred technical scheme, the method comprises the following steps: the information providing terminal uploads asset information by a terminal user to prepare for packaging; the target block chain node equipment packs the asset information uploaded by the terminal user and attaches the asset information to the block chain; the asset information reading module reads the asset information of the block chain, captures and stores the asset information to be evaluated; an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list; s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship; s3, selecting an asset value evaluation algorithm template, determining an asset value evaluation algorithm and outputting asset value; and the target block chain node equipment refreshes the block chain data every ten minutes, so that the real-time accuracy of the data is ensured.
As a preferred technical scheme, the method comprises the following steps: the information providing terminal uploads asset information by a terminal user to prepare for packaging; the target block chain node equipment packs the asset information uploaded by the terminal user and attaches the asset information to the block chain; the asset information reading module reads the asset information of the block chain, captures and stores the asset information to be evaluated; an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list; s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship; s3, selecting an asset value evaluation algorithm template, determining an asset value evaluation algorithm and outputting asset value; and the target block chain node equipment links the blocks through a Hash algorithm.
As a preferred technical scheme, the method comprises the following steps: the information providing terminal uploads asset information by a terminal user to prepare for packaging; the target block chain node equipment packs the asset information uploaded by the terminal user and attaches the asset information to the block chain; the asset information reading module reads the asset information of the block chain, captures and stores the asset information to be evaluated; an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list; s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship; s3, selecting an asset value evaluation algorithm template, determining an asset value evaluation algorithm and outputting asset value; the asset classification identification framework, the asset relationship analysis model and the asset value assessment algorithm are at least one.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (5)
1. A blockchain asset detection entry evaluation system, comprising:
an information providing terminal: uploading asset information by a terminal user to prepare for packaging;
target blockchain node device: packaging the asset information uploaded by the terminal user and attaching the asset information to the block chain;
an asset information reading module: reading the asset information of the block chain, capturing and storing the asset information to be evaluated;
an asset assessment module: s1, selecting an asset classification identification frame, determining the asset classification identification frame, and outputting an asset classification list;
s2, selecting an asset relationship analysis model, determining the asset relationship analysis model and outputting an asset dependency relationship;
s3, selecting the asset value evaluation algorithm template, determining the asset value evaluation algorithm and outputting the asset value.
2. The blockchain asset detection entry evaluation system of claim 1, further comprising:
selecting related parameters of the industry, the mechanism property and the scale of the information assets, and screening an asset classification identification frame, an asset relationship analysis model and an asset value evaluation algorithm corresponding to an evaluation object through the parameters;
selecting an asset classification identification frame template, and inputting related asset class definition information to obtain an asset classification identification frame meeting the requirement; according to the asset classification identification framework, performing classification identification and counting on the information assets to obtain an asset classification list;
selecting an asset relationship analysis model, defining the degree of asset dependency relationship, and obtaining an asset relationship analysis model meeting the requirement; according to the asset relationship analysis model, carrying out asset relationship analysis on the information assets listed in the asset classification list to obtain an asset dependency relationship;
selecting an asset value assessment algorithm, defining the grade of asset value assessment, and obtaining the asset value assessment algorithm meeting the requirement; and according to an asset value evaluation algorithm, evaluating the information asset value by using the asset dependency relationship to obtain an asset value report.
3. The blockchain asset detection entry evaluation system of claim 2, further comprising:
and the target block chain node equipment refreshes the block chain data every ten minutes, so that the real-time accuracy of the data is ensured.
4. A blockchain asset detection entry evaluation system as recited in claim 3 further comprising:
and the target block chain node equipment links the blocks through a Hash algorithm.
5. The blockchain asset detection entry evaluation system of claim 4, further comprising:
the asset classification identification framework, the asset relationship analysis model and the asset value assessment algorithm are at least one.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110532420.4A CN113283726A (en) | 2021-05-17 | 2021-05-17 | Block chain asset detection, entry and evaluation system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110532420.4A CN113283726A (en) | 2021-05-17 | 2021-05-17 | Block chain asset detection, entry and evaluation system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113283726A true CN113283726A (en) | 2021-08-20 |
Family
ID=77279358
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110532420.4A Pending CN113283726A (en) | 2021-05-17 | 2021-05-17 | Block chain asset detection, entry and evaluation system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113283726A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113706015A (en) * | 2021-08-27 | 2021-11-26 | 孙树芹 | Data collection system for enterprise asset arrangement based on block chain |
WO2023173801A1 (en) * | 2022-03-18 | 2023-09-21 | 腾讯科技(深圳)有限公司 | Blockchain digital resource processing method and apparatus, and computer device and storage medium |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1737837A (en) * | 2005-07-26 | 2006-02-22 | 北京同方信息安全技术股份有限公司 | Information property estimation method based on data base facing objects |
CN107819771A (en) * | 2017-11-16 | 2018-03-20 | 国网湖南省电力有限公司 | A kind of Information Security Risk Assessment Methods and system based on assets dependence |
CN110287268A (en) * | 2019-06-30 | 2019-09-27 | 智慧谷(厦门)物联科技有限公司 | A kind of digital asset processing method and system based on block chain |
CN112258252A (en) * | 2020-11-23 | 2021-01-22 | 国网能源研究院有限公司 | Block chain-based data asset value evaluation device and method |
-
2021
- 2021-05-17 CN CN202110532420.4A patent/CN113283726A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1737837A (en) * | 2005-07-26 | 2006-02-22 | 北京同方信息安全技术股份有限公司 | Information property estimation method based on data base facing objects |
CN107819771A (en) * | 2017-11-16 | 2018-03-20 | 国网湖南省电力有限公司 | A kind of Information Security Risk Assessment Methods and system based on assets dependence |
CN110287268A (en) * | 2019-06-30 | 2019-09-27 | 智慧谷(厦门)物联科技有限公司 | A kind of digital asset processing method and system based on block chain |
CN112258252A (en) * | 2020-11-23 | 2021-01-22 | 国网能源研究院有限公司 | Block chain-based data asset value evaluation device and method |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113706015A (en) * | 2021-08-27 | 2021-11-26 | 孙树芹 | Data collection system for enterprise asset arrangement based on block chain |
CN113706015B (en) * | 2021-08-27 | 2022-07-22 | 金网络(北京)电子商务有限公司 | Data collection system for enterprise asset arrangement based on block chain |
WO2023173801A1 (en) * | 2022-03-18 | 2023-09-21 | 腾讯科技(深圳)有限公司 | Blockchain digital resource processing method and apparatus, and computer device and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Almalawi et al. | An efficient data-driven clustering technique to detect attacks in SCADA systems | |
CN113283726A (en) | Block chain asset detection, entry and evaluation system | |
Kogan et al. | Design and evaluation of a continuous data level auditing system | |
US7801703B2 (en) | Self-learning integrity management system and related methods | |
TW200849917A (en) | Detecting method of network invasion | |
CN111930726B (en) | Off-line form-based grade protection evaluation data acquisition and analysis method and system | |
JP2009086896A (en) | Failure prediction system and failure prediction method for computer | |
CN117391292A (en) | Carbon emission energy-saving management analysis system and method | |
CN117151882B (en) | Risk assessment method and system based on multi-variety power transaction | |
CN106201887A (en) | The verification method of a kind of off-line data task and device | |
Ng et al. | Blockchain-IIoT-big data aided process control and quality analytics | |
Li et al. | On dynamically monitoring aggregate warranty claims for early detection of reliability problems | |
CN117195451A (en) | Bridge monitoring data restoration method based on graph theory | |
CN107918704A (en) | Charge amplifier Storage Life Prediction method, apparatus, storage medium and computer equipment | |
CN111260219A (en) | Asset class identification method, device, equipment and computer readable storage medium | |
CN116341793A (en) | Block chain-based method and device for determining carbon emission of product | |
US20240000045A1 (en) | Livestock monitoring | |
Kläs et al. | Evaluating a quality model for software product assessments-a case study | |
Abualkishik et al. | An exploratory study on the accuracy of FPA to COSMIC measurement method conversion types | |
CN112085624A (en) | Data processing method and system based on cloud computing | |
Chakraborti et al. | Statistical Process Monitoring and the Issue of Assumptions in Practice: Normality and Independence | |
US20240070130A1 (en) | Methods And Systems For Identifying And Correcting Anomalies In A Data Environment | |
CN114926154B (en) | Protection switching method and system for multi-scene data identification | |
CN112966885B (en) | Slope failure mode probability prediction method, device, equipment and readable storage medium | |
CN109871795B (en) | Automatic expressway technical condition evaluation method, system and product |
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 |