CN113240398A - Power grid data asset management system based on big data - Google Patents
Power grid data asset management system based on big data Download PDFInfo
- Publication number
- CN113240398A CN113240398A CN202110571988.7A CN202110571988A CN113240398A CN 113240398 A CN113240398 A CN 113240398A CN 202110571988 A CN202110571988 A CN 202110571988A CN 113240398 A CN113240398 A CN 113240398A
- Authority
- CN
- China
- Prior art keywords
- data
- asset
- module
- asset management
- power grid
- 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
- 238000012545 processing Methods 0.000 claims abstract description 34
- 238000012544 monitoring process Methods 0.000 claims abstract description 30
- 230000000007 visual effect Effects 0.000 claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 9
- 238000004140 cleaning Methods 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000009286 beneficial effect Effects 0.000 abstract description 8
- 238000009826 distribution Methods 0.000 abstract description 7
- 238000013075 data extraction Methods 0.000 abstract description 3
- 238000007726 management method Methods 0.000 description 60
- 238000013523 data management Methods 0.000 description 13
- 238000003860 storage Methods 0.000 description 10
- 230000000694 effects Effects 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 230000003245 working 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
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Economics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Probability & Statistics with Applications (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a power grid data asset management system based on big data, which comprises a collecting and loading unit, a cloud server, a statistical classification module, a monitoring unit, a visual tracking and calling module and a terminal, wherein the collecting and loading unit is used for collecting and loading data; the invention has the beneficial effects that: the method is beneficial to unified management of the power grid asset data and convenient to call; the asset management data to be processed is loaded into the cloud server for processing, and the characteristics of asset management data noise removal, asset management data cleaning and asset management data extraction are included, so that the efficiency and accuracy of processing the asset management data to be processed are improved; by the designed visual tracking and calling module, the visual effect of the asset data is improved, the asset data distribution is convenient to display, and the effective utilization of the asset data is facilitated; through the designed statistic classification module, the asset data is counted and classified, so that the data classification processing and the consulting are facilitated.
Description
Technical Field
The invention belongs to the technical field of power grid data asset management, and particularly relates to a power grid data asset management system based on big data.
Background
Data management is the basic premise of data fusion, and multi-source heterogeneous data needs to be managed before data fusion and big data application analysis are carried out, so that the data condition is clearly mastered.
Power data assets include the following categories: scheduling, power transmission, power transformation, power distribution and power utilization service data generated in each link of the power comprise real-time production data and historical data; external environment, weather and geographic information data, which affect the safe and stable operation of the power grid, relate to various services and have various data types.
In recent years, in power grid production and operation, the working efficiency and the working effect can be effectively improved through data analysis, for example, the weak points of a power grid can be predicted in advance through data analysis by fusing power grid operation data and external environment data, problems can be found and dealt with in time, the reliability of the power grid can be greatly improved, and the economic loss of enterprises can be greatly reduced.
The application number is CN202011158451.X, which discloses a power grid data asset management system based on big data, and the system comprises a login module, an identity verification module, a data right-lifting module, a data import module, a data receiving module, a master control module, an alarm sending module, a backup storage module, a storage cloud and a data extraction module; the method comprises the following steps of (1) carrying out power grid data asset management while ensuring the safety of the power grid data assets; the problem of current power grid data asset management system security low, cause the power grid data asset to reveal easily is solved.
The existing power grid data asset management system also has the problems of low visualization degree and insufficient data classification processing.
Disclosure of Invention
The invention aims to provide a power grid data asset management system based on big data, which aims to solve the problems of low visualization degree and insufficient data classification processing in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a power grid data asset management system based on big data, by gathering loading unit, cloud ware, statistics classification module, monitoring unit, visual tracking call module, terminal, wherein:
the acquisition loading unit is used for acquiring asset management data to be processed from a database and loading the asset management data to be processed into the cloud server for processing;
the statistical classification module is used for performing statistics and classification on the asset data;
the monitoring unit is used for monitoring data in the whole process and realizing data transaction monitoring;
the visual tracking calling module is used for carrying out visual tracking calling on the asset data after statistics and classification processing;
the terminal is used for accessing asset data;
the acquisition loading unit, the statistical classification module, the monitoring unit, the visual tracking calling module and the terminal are all connected with the cloud server.
The invention further comprises an alarm module, wherein the alarm module is connected with the cloud server, and the alarm module gives an alarm when the asset data is abnormal.
As a preferable technical scheme of the invention, the alarm mode is one or two combination of sound alarm and pop-up window alarm.
As a preferred technical scheme of the invention, the terminal is one or a combination of a plurality of desktop computers, notebooks, mobile phones and tablets.
The invention further comprises a backup module, wherein the backup module is connected with the cloud server and is used for backing up asset data.
The invention further comprises a tracing module, wherein the tracing module is connected with the cloud server and is used for tracing the asset data.
As a preferred technical scheme of the invention, the asset management data to be processed is loaded into the cloud server for processing, and the processing comprises removing asset management data noise, cleaning asset management data and extracting the characteristics of the asset management data.
The invention further comprises a data indexing and searching module connected with the cloud server, wherein the data indexing and searching module is used for searching the asset data.
Compared with the prior art, the invention has the beneficial effects that:
(1) the method is beneficial to unified management of the power grid asset data and convenient to call;
(2) the asset management data to be processed is loaded into the cloud server for processing, and the characteristics of asset management data noise removal, asset management data cleaning and asset management data extraction are included, so that the efficiency and accuracy of processing the asset management data to be processed are improved;
(3) by the designed visual tracking and calling module, the visual effect of the asset data is improved, the asset data distribution is convenient to display, and the effective utilization of the asset data is facilitated;
(4) through the designed statistic classification module, the asset data is counted and classified, so that the data classification processing and the consulting are facilitated.
Drawings
FIG. 1 is a system diagram of the present invention.
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.
Example 1
Referring to fig. 1, the present invention provides a technical solution: the utility model provides a power grid data asset management system based on big data, by gathering loading unit, cloud ware, statistics classification module, monitoring unit, visual tracking call module, terminal, wherein:
the acquisition loading unit is used for acquiring asset management data to be processed from the database and loading the asset management data to be processed into the cloud server for processing; in the power grid asset data, most of the data are structured data, but a large amount of semi-structured and unstructured data also exist, so that a mixed storage scheme is required for power grid data asset management based on big data, a distributed file system is adopted for unstructured data, and a traditional relational database system or a distributed parallel database system can be adopted for massive structured data; asset data management requires determining criteria: the asset data metadata definition and data coding are specified by the standard and are the basis of data management, and the asset data management ensures that the management work can be effectively and normatively carried out, thereby being beneficial to realizing the safe storage and management of data;
the statistic classification module is used for carrying out statistic and classification on the asset data, so that the data classification processing and the consulting are facilitated;
the monitoring unit is used for monitoring data in the whole process and realizing data transaction monitoring;
the visualized tracking calling module is used for performing visualized tracking calling on the asset data after statistics and classification processing, so that the visualized effect of the asset data is improved, the asset data distribution is convenient to display, and the effective utilization of the asset data is facilitated;
the terminal is used for accessing the asset data;
the acquisition loading unit, the statistical classification module, the monitoring unit, the visual tracking calling module and the terminal are all connected with the cloud server.
In this embodiment, preferably, the system further includes an alarm module, and the alarm module is connected to the cloud server, and the alarm module issues an alarm when the asset data is abnormal, where the alarm is made by sound.
In this embodiment, preferably, the terminal is a desktop or a notebook.
In this embodiment, preferably, the system further includes a backup module, and the backup module is connected to the cloud server, and the backup module is configured to backup asset data, so as to prevent the asset data from being lost when the system fails.
In this embodiment, preferably, the system further includes a tracing module, and the tracing module is connected to the cloud server, and the tracing module is configured to trace the asset data.
In this embodiment, preferably, the system further includes a data indexing and searching module connected to the cloud server, and the data indexing and searching module is used for searching the asset data, so that the condition of the asset data can be conveniently known.
Example 2
Referring to fig. 1, the present invention provides a technical solution: the utility model provides a power grid data asset management system based on big data, by gathering loading unit, cloud ware, statistics classification module, monitoring unit, visual tracking call module, terminal, wherein:
the acquisition loading unit is used for acquiring asset management data to be processed from the database and loading the asset management data to be processed into the cloud server for processing; in the power grid asset data, most of the data are structured data, but a large amount of semi-structured and unstructured data also exist, so that a mixed storage scheme is required for power grid data asset management based on big data, a distributed file system is adopted for unstructured data, and a traditional relational database system or a distributed parallel database system can be adopted for massive structured data; asset data management requires determining criteria: the asset data metadata definition and data coding are specified by the standard and are the basis of data management, and the asset data management ensures that the management work can be effectively and normatively carried out, thereby being beneficial to realizing the safe storage and management of data;
the statistic classification module is used for carrying out statistic and classification on the asset data, so that the data classification processing and the consulting are facilitated;
the monitoring unit is used for monitoring data in the whole process and realizing data transaction monitoring;
the visualized tracking calling module is used for performing visualized tracking calling on the asset data after statistics and classification processing, so that the visualized effect of the asset data is improved, the asset data distribution is convenient to display, and the effective utilization of the asset data is facilitated;
the terminal is used for accessing the asset data;
the acquisition loading unit, the statistical classification module, the monitoring unit, the visual tracking calling module and the terminal are all connected with the cloud server.
In this embodiment, preferably, the system further includes an alarm module, and the alarm module is connected to the cloud server, and the alarm module issues an alarm when the asset data is abnormal, and the alarm mode is a pop-up window alarm.
In this embodiment, preferably, the terminal is a combination of a desktop computer and a mobile phone.
In this embodiment, preferably, the system further includes a backup module, and the backup module is connected to the cloud server, and the backup module is configured to backup asset data, so as to prevent the asset data from being lost when the system fails.
In this embodiment, preferably, the asset management data to be processed is loaded into the cloud server for processing, including removing asset management data noise, cleaning asset management data, and extracting the features of asset management data, so that the efficiency and accuracy of processing the asset management data to be processed are improved.
Example 3
Referring to fig. 1, the present invention provides a technical solution: the utility model provides a power grid data asset management system based on big data, by gathering loading unit, cloud ware, statistics classification module, monitoring unit, visual tracking call module, terminal, wherein:
the acquisition loading unit is used for acquiring asset management data to be processed from the database and loading the asset management data to be processed into the cloud server for processing; in the power grid asset data, most of the data are structured data, but a large amount of semi-structured and unstructured data also exist, so that a mixed storage scheme is required for power grid data asset management based on big data, a distributed file system is adopted for unstructured data, and a traditional relational database system or a distributed parallel database system can be adopted for massive structured data; asset data management requires determining criteria: the asset data metadata definition and data coding are specified by the standard and are the basis of data management, and the asset data management ensures that the management work can be effectively and normatively carried out, thereby being beneficial to realizing the safe storage and management of data;
the statistic classification module is used for carrying out statistic and classification on the asset data, so that the data classification processing and the consulting are facilitated;
the monitoring unit is used for monitoring data in the whole process and realizing data transaction monitoring;
the visualized tracking calling module is used for performing visualized tracking calling on the asset data after statistics and classification processing, so that the visualized effect of the asset data is improved, the asset data distribution is convenient to display, and the effective utilization of the asset data is facilitated;
the terminal is used for accessing the asset data;
the acquisition loading unit, the statistical classification module, the monitoring unit, the visual tracking calling module and the terminal are all connected with the cloud server.
In this embodiment, preferably, the system further includes an alarm module, and the alarm module is connected to the cloud server, and the alarm module issues an alarm when the asset data is abnormal, and the alarm mode is a combination of sound alarm and pop-up window alarm.
In this embodiment, preferably, the terminal is a combination of a desktop and a tablet.
In this embodiment, preferably, the system further includes a backup module, and the backup module is connected to the cloud server, and the backup module is configured to backup asset data, so as to prevent the asset data from being lost when the system fails.
In this embodiment, preferably, the system further includes a tracing module, and the tracing module is connected to the cloud server, and the tracing module is configured to trace the asset data.
In this embodiment, preferably, the asset management data to be processed is loaded into the cloud server for processing, including removing asset management data noise, cleaning asset management data, and extracting the features of asset management data, so that the efficiency and accuracy of processing the asset management data to be processed are improved.
Example 4
Referring to fig. 1, the present invention provides a technical solution: the utility model provides a power grid data asset management system based on big data, by gathering loading unit, cloud ware, statistics classification module, monitoring unit, visual tracking call module, terminal, wherein:
the acquisition loading unit is used for acquiring asset management data to be processed from the database and loading the asset management data to be processed into the cloud server for processing; in the power grid asset data, most of the data are structured data, but a large amount of semi-structured and unstructured data also exist, so that a mixed storage scheme is required for power grid data asset management based on big data, a distributed file system is adopted for unstructured data, and a traditional relational database system or a distributed parallel database system can be adopted for massive structured data; asset data management requires determining criteria: the asset data metadata definition and data coding are specified by the standard and are the basis of data management, and the asset data management ensures that the management work can be effectively and normatively carried out, thereby being beneficial to realizing the safe storage and management of data;
the statistic classification module is used for carrying out statistic and classification on the asset data, so that the data classification processing and the consulting are facilitated;
the monitoring unit is used for monitoring data in the whole process and realizing data transaction monitoring;
the visualized tracking calling module is used for performing visualized tracking calling on the asset data after statistics and classification processing, so that the visualized effect of the asset data is improved, the asset data distribution is convenient to display, and the effective utilization of the asset data is facilitated;
the terminal is used for accessing the asset data;
the acquisition loading unit, the statistical classification module, the monitoring unit, the visual tracking calling module and the terminal are all connected with the cloud server.
In this embodiment, preferably, the system further includes an alarm module, and the alarm module is connected to the cloud server, and the alarm module issues an alarm when the asset data is abnormal, and the alarm mode is a combination of sound alarm and pop-up window alarm.
In this embodiment, preferably, the terminal is a combination of a desktop, a notebook, a mobile phone, and a tablet.
In this embodiment, preferably, the system further includes a backup module, and the backup module is connected to the cloud server, and the backup module is configured to backup asset data, so as to prevent the asset data from being lost when the system fails.
In this embodiment, preferably, the system further includes a tracing module, and the tracing module is connected to the cloud server, and the tracing module is configured to trace the asset data.
In this embodiment, preferably, the asset management data to be processed is loaded into the cloud server for processing, including removing asset management data noise, cleaning asset management data, and extracting the features of asset management data, so that the efficiency and accuracy of processing the asset management data to be processed are improved.
In this embodiment, preferably, the system further includes a data indexing and searching module connected to the cloud server, and the data indexing and searching module is used for searching the asset data, so that the condition of the asset data can be conveniently known.
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. A power grid data asset management system based on big data is characterized in that: by gathering loading unit, cloud ware, statistics classification module, monitor cell, visual tracking call module, terminal, wherein:
the acquisition loading unit is used for acquiring asset management data to be processed from a database and loading the asset management data to be processed into the cloud server for processing;
the statistical classification module is used for performing statistics and classification on the asset data;
the monitoring unit is used for monitoring data in the whole process and realizing data transaction monitoring;
the visual tracking calling module is used for carrying out visual tracking calling on the asset data after statistics and classification processing;
the terminal is used for accessing asset data;
the acquisition loading unit, the statistical classification module, the monitoring unit, the visual tracking calling module and the terminal are all connected with the cloud server.
2. The big data-based power grid data asset management system according to claim 1, wherein: the system also comprises an alarm module, the alarm module is connected with the cloud server, and the alarm module gives an alarm when the asset data is abnormal.
3. The big data-based power grid data asset management system according to claim 2, wherein: the alarm mode is one or two combination of sound alarm and pop-up window alarm.
4. The big data-based power grid data asset management system according to claim 1, wherein: the terminal is one or a combination of a desktop computer, a notebook computer, a mobile phone and a tablet.
5. The big data-based power grid data asset management system according to claim 1, wherein: the system further comprises a backup module, the backup module is connected with the cloud server, and the backup module is used for backing up asset data.
6. The big data-based power grid data asset management system according to claim 1, wherein: the asset data tracing system further comprises a tracing module, the tracing module is connected with the cloud server, and the tracing module is used for tracing asset data.
7. The big data-based power grid data asset management system according to claim 1, wherein: and loading the asset management data to be processed into the cloud server for processing, wherein the processing comprises removing asset management data noise, cleaning the asset management data and extracting the characteristics of the asset management data.
8. The big data-based power grid data asset management system according to claim 1, wherein: the system further comprises a data indexing and searching module connected with the cloud server, and the data indexing and searching module is used for searching the asset data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110571988.7A CN113240398A (en) | 2021-05-25 | 2021-05-25 | Power grid data asset management system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110571988.7A CN113240398A (en) | 2021-05-25 | 2021-05-25 | Power grid data asset management system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113240398A true CN113240398A (en) | 2021-08-10 |
Family
ID=77138658
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110571988.7A Pending CN113240398A (en) | 2021-05-25 | 2021-05-25 | Power grid data asset management system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113240398A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107273515A (en) * | 2017-06-21 | 2017-10-20 | 国网内蒙古东部电力有限公司信息通信分公司 | Power grid data asset resource retrieval and display based on polymorphic data indexing technology |
| CN107402976A (en) * | 2017-07-03 | 2017-11-28 | 国网山东省电力公司经济技术研究院 | Power grid multi-source data fusion method and system based on multi-element heterogeneous model |
| CN111080261A (en) * | 2019-12-19 | 2020-04-28 | 国网安徽省电力有限公司信息通信分公司 | Visual data asset management system based on big data |
| CN111415079A (en) * | 2020-03-17 | 2020-07-14 | 深圳市丰巢科技有限公司 | Asset code management method, device, server and storage medium |
| CN111680041A (en) * | 2020-05-31 | 2020-09-18 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Safe and efficient access method for heterogeneous data |
| CN112559634A (en) * | 2020-12-16 | 2021-03-26 | 河南医学高等专科学校 | Big data management system based on computer cloud computing |
| CN112615744A (en) * | 2020-12-18 | 2021-04-06 | 安徽中杰信息科技有限公司 | Computer lab asset cloud safety management platform |
| CN112732924A (en) * | 2020-12-04 | 2021-04-30 | 国网安徽省电力有限公司 | Power grid data asset management system and method based on knowledge graph |
-
2021
- 2021-05-25 CN CN202110571988.7A patent/CN113240398A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107273515A (en) * | 2017-06-21 | 2017-10-20 | 国网内蒙古东部电力有限公司信息通信分公司 | Power grid data asset resource retrieval and display based on polymorphic data indexing technology |
| CN107402976A (en) * | 2017-07-03 | 2017-11-28 | 国网山东省电力公司经济技术研究院 | Power grid multi-source data fusion method and system based on multi-element heterogeneous model |
| CN111080261A (en) * | 2019-12-19 | 2020-04-28 | 国网安徽省电力有限公司信息通信分公司 | Visual data asset management system based on big data |
| CN111415079A (en) * | 2020-03-17 | 2020-07-14 | 深圳市丰巢科技有限公司 | Asset code management method, device, server and storage medium |
| CN111680041A (en) * | 2020-05-31 | 2020-09-18 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Safe and efficient access method for heterogeneous data |
| CN112732924A (en) * | 2020-12-04 | 2021-04-30 | 国网安徽省电力有限公司 | Power grid data asset management system and method based on knowledge graph |
| CN112559634A (en) * | 2020-12-16 | 2021-03-26 | 河南医学高等专科学校 | Big data management system based on computer cloud computing |
| CN112615744A (en) * | 2020-12-18 | 2021-04-06 | 安徽中杰信息科技有限公司 | Computer lab asset cloud safety management platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP4099170B1 (en) | Method and apparatus of auditing log, electronic device, and medium | |
| CN106778253A (en) | Threat context aware information security Initiative Defense model based on big data | |
| CN112883001A (en) | Data processing method, device and medium based on marketing and distribution through data visualization platform | |
| CN111800292B (en) | Early warning method and device based on historical flow, computer equipment and storage medium | |
| CN113298486A (en) | Big data-based government affair supervision and supervision method and system | |
| CN112306700A (en) | Abnormal RPC request diagnosis method and device | |
| CN106649034B (en) | Visual intelligent operation and maintenance method and platform | |
| CN110677271A (en) | Big data alarm method, device, equipment and storage medium based on ELK | |
| CN113240398A (en) | Power grid data asset management system based on big data | |
| CN115840656A (en) | Automatic operation and maintenance method and system for application program based on fault self-healing | |
| CN117526545A (en) | Micro-grid energy management system and remote data processing method thereof | |
| CN115034927A (en) | Data processing method and device, electronic equipment and storage medium | |
| CN114244685A (en) | Cloud service center access exception handling system | |
| CN114049036A (en) | Data computing platform, method, device and storage medium | |
| CN113850463A (en) | Processing method and device for misoperation prevention of transformer substation | |
| CN113988507A (en) | Power transmission and transformation operation equipment early warning method and device | |
| CN112416942A (en) | Intelligent manufacturing data acquisition system based on 5G technology | |
| CN202068439U (en) | Enterprise application security unified audit platform | |
| CN112734359A (en) | Science and technology project progress tracking system | |
| CN112448840A (en) | Communication data quality monitoring method, device, server and storage medium | |
| CN216751819U (en) | Intelligent detection system based on 5G communication technology | |
| CN102882732B (en) | A kind of based on terminal communication access device performance management method | |
| CN115964368A (en) | Tracing method for application program interface of data service | |
| CN114238027A (en) | Multi-dimensional analysis system based on mass request data | |
| Sun | The Current Situation and Future Development Trend of Computer and Chip Applications in the Era of Big Data |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210810 |