CN105354616A - Processing device and on-line processing method for electric power measurement asset data - Google Patents
Processing device and on-line processing method for electric power measurement asset data Download PDFInfo
- Publication number
- CN105354616A CN105354616A CN201510954194.3A CN201510954194A CN105354616A CN 105354616 A CN105354616 A CN 105354616A CN 201510954194 A CN201510954194 A CN 201510954194A CN 105354616 A CN105354616 A CN 105354616A
- Authority
- CN
- China
- Prior art keywords
- data
- asset
- measuring
- quality
- management
- 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 title claims abstract description 32
- 238000003672 processing method Methods 0.000 title claims abstract description 15
- 238000005259 measurement Methods 0.000 title abstract 6
- 238000007726 management method Methods 0.000 claims abstract description 53
- 238000004458 analytical method Methods 0.000 claims abstract description 27
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000013500 data storage Methods 0.000 claims abstract description 9
- 238000003908 quality control method Methods 0.000 claims abstract description 9
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 238000011156 evaluation Methods 0.000 claims description 16
- 238000013210 evaluation model Methods 0.000 claims description 10
- 230000001747 exhibiting effect Effects 0.000 claims description 10
- 238000004519 manufacturing process Methods 0.000 claims description 10
- 238000003860 storage Methods 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 6
- 238000012821 model calculation Methods 0.000 claims description 6
- 238000013075 data extraction Methods 0.000 claims description 4
- 238000013461 design Methods 0.000 claims description 4
- 238000009434 installation Methods 0.000 claims description 4
- 230000008520 organization Effects 0.000 claims description 4
- 238000010835 comparative analysis Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000013316 zoning Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims description 2
- 238000011158 quantitative evaluation Methods 0.000 claims description 2
- 230000008034 disappearance Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 238000004140 cleaning Methods 0.000 description 2
- 238000005314 correlation function Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013144 data compression Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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
- G06Q10/20—Administration of product repair or maintenance
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a processing device and an on-line processing method for electric power measurement asset data. The processing device mainly comprises a data acquisition module, a data processing module, a data storage module, a data application module, a metadata management module and a data quality control module. According to the processing device and the on-line processing method, measurement asset data in multiple systems can be integrated, analyzed and processed, the problems of conventional measurement data scattering, uneven data quality, lack of an automatic analysis method and the like are solved, on-line processing of the electric power measurement asset data is realized, the problems of longer time for data analysis and high probability of fault points due to adoption of a manual analysis mode are solved, the process is rapid and accurate, and the requirement for fine management of measurement assets is met greatly.
Description
Technical field
The present invention relates to electric-power metering field, particularly relate to a kind of electric-power metering asset data treating apparatus and its disposal route online.
Background technology
Comprise electric energy meter, mutual inductor, acquisition terminal electric-power metering assets are major appliances of electrical energy metering between power grid enterprises and power consumer, the operation that can it safe, efficient, economic directly concerns the vital interests of vast power consumer and the brand image of power grid enterprises.Carry out Data Environments for electric-power metering asset data, realizing measuring asset whole-life cycle fee is guarantee that measuring asset is safe, efficient, the effective means of economical operation.
At present, measuring asset data scatter is in many cover systems such as metering production scheduling platform, sales service application system, power information acquisition system, data not yet effective integration are shared with abundant, and data standard between system is inconsistent, the quality of data is uneven, for measuring asset whole-life cycle fee brings certain difficulty.In addition, owing to lacking scientific and reasonable assay model and technical support instrument, the mode of analytical work many employings manual analysis of measuring asset management data, the time of data analysis the cost longer and trouble spot introduced because manually slipping, is difficult to the requirement meeting measuring asset fine-grained management.
As can be seen here, adopt manual type, from many cover systems, obtain measuring asset data and carry out the requirement that analyzing and processing cannot meet measuring asset whole-life cycle fee.
Therefore, need a kind of new technical scheme to solve the problems of the technologies described above.
Summary of the invention
The present invention seeks to for the deficiencies in the prior art, a kind of electric-power metering asset data treating apparatus and its disposal route are online provided, solve the problems such as existing continuous data disperses, the quality of data is uneven, automatic analysis method disappearance, realize the online process of electric-power metering asset data, meet the requirement of measuring asset whole-life cycle fee.
For realizing object of the present invention, the present invention proposes a kind of electric-power metering asset data treating apparatus, this treating apparatus comprises with lower module:
Data acquisition module: according to corresponding data collection rule and market demand demand, realize the file data of measuring asset and the acquisition of each link business datum of life cycle management;
Data processing module: by the data of data collecting module collected for inputting, in conjunction with measuring asset life cycle management index storehouse, measuring asset life cycle management evaluation model, the statistical study and the model that complete measuring asset data calculate;
Data memory module: complete the data storage comprising data acquisition, statistical study, the model calculation;
Market demand module: complete comprise assets general status, Asset State analysis, asset quality analysis, life of assets prediction, the large subject data of supplier evaluation 5 visual;
Metadata management module: as the basic support of data acquisition module, data processing module, data memory module, market demand module, comprise metadata automatic acquisition, metadata manual maintenance, metadata access function, to guarantee the efficient work of data quality control module;
Data quality control module: comprise data quality monitoring, data problem process, quality of data function of reporting, improves the shoring of foundation ability of continuous data further.
A kind of electric-power metering asset data treating apparatus that the present invention proposes compared with prior art, measuring asset data integration in many cover systems can be carried out analyzing and processing, and this treating apparatus solves the problems such as the dispersion of existing continuous data, uneven, the automatic analysis method disappearance of the quality of data, achieve the online process of electric-power metering asset data, data analysis is quick, efficient, accurate, meets the requirement of measuring asset whole-life cycle fee.
Accordingly, the invention allows for a kind of electric-power metering asset data on-line processing method, this on-line processing method comprises the following steps:
(1), metadatabase is set up: set up electric-power metering asset metadata repository by the design of metadata logical model, meta-data extraction, metadata store successively;
(2), data acquisition: according to the data collecting rule defined in metadatabase, from metering production scheduling platform, sales service application system, power information acquisition system, extract file data and each link business datum of life cycle management of measuring asset, complete the centralized stores of measuring asset life cycle management data;
(3), Data Analysis Services: the continuous data obtained with data acquisition is input, on the basis in statistical study measuring asset whole-life cycle fee achievement data storehouse, in conjunction with measuring asset whole-life cycle fee evaluation model, complete the analyzing and processing of measuring asset life cycle management data;
(4), data store: build source data layer, data encasement layer successively, gather layer, represent the logical model of layer four layer data storage organization and the storage of the layering and zoning of data acquisition, statistical study, the model calculation data;
(5), market demand: create patterned human-computer interaction interface, realize comprising assets general status, Asset State analysis, asset quality analysis, life of assets prediction, the measuring asset life cycle management data exhibiting of the large theme of supplier evaluation 5 and application.
Compared with prior art, the measuring asset data integration in many cover systems can be carried out analyzing and processing to a kind of electric-power metering asset data on-line processing method that the present invention proposes by this disposal route; Solve the problems such as existing continuous data disperses, the quality of data is uneven, automatic analysis method disappearance; Achieve the online process of electric-power metering asset data, this disposal route avoids the mode adopting manual analysis, the time problem that is longer, that easily break down a little of data analysis cost, and process fast, accurately; Greatly meet the requirement of measuring asset fine-grained management.
Accompanying drawing explanation
Fig. 1 is the comprising modules schematic diagram of electric-power metering asset data treating apparatus of the present invention.
Fig. 2 is the method flow diagram of electric-power metering asset data of the present invention its process online.
Embodiment
Below in conjunction with the drawings and specific embodiments, illustrate the present invention further, following embodiment should be understood only be not used in for illustration of the present invention and limit the scope of the invention, after having read the present invention, the amendment of those skilled in the art to the various equivalent form of value of the present invention has all fallen within the application's claims limited range.
Refer to shown in Fig. 1, the present invention proposes a kind of electric-power metering asset data treating apparatus, this treating apparatus comprises with lower module:
Data acquisition module: according to corresponding data collection rule and market demand demand, realize the file data of measuring asset and the acquisition of each link business datum of life cycle management;
Data processing module: by the data of data collecting module collected for inputting, in conjunction with measuring asset life cycle management index storehouse, measuring asset life cycle management evaluation model, the statistical study and the model that complete measuring asset data calculate;
Data memory module: complete the data storage comprising data acquisition, statistical study, the model calculation;
Market demand module: complete comprise assets general status, Asset State analysis, asset quality analysis, life of assets prediction, the large subject data of supplier evaluation 5 visual;
Metadata management module: as the basic support of data acquisition module, data processing module, data memory module, market demand module, comprise metadata automatic acquisition, metadata manual maintenance, metadata access function, to guarantee the efficient work of data quality control module;
Data quality control module: comprise data quality monitoring, data problem process, quality of data function of reporting, improves the shoring of foundation ability of continuous data further.
Wherein, data memory module comprises source data memory block, data encasement district, data summarization district and data exhibiting district.
Particularly, according to the data collecting rule of metadata management module definition, obtain data relevant to measuring asset whole-life cycle fee in metering production scheduling platform, sales service application system, power information acquisition system, deposit the source data memory block to data memory module; By the correlation function of calling data quality control module, complete source operation system data check and cleaning, by the deposit data after cleaning to the data encasement district of data memory module.
The data that data processing module is formed with data acquisition module are input, data processing rule in conjunction with metadata management module definition completes statistical study and the model calculating of data, and the data summarization district result data of analytical calculation is stored in data memory module and data exhibiting district; By the correlation function of calling data quality control module, find the quality of data hidden danger that the aspects such as data processing Statistical Criteria, model algorithm, computation rule exist.
Based on the demonstrating data that market demand module is formed by data processing module, in conjunction with the demand of measuring asset whole-life cycle fee, with multiple ways of presentation such as list, bar shaped, curve, number percents, complete and comprise assets general status, Asset State analysis, asset quality analysis, life of assets prediction, the measuring asset life cycle management data exhibiting of the large theme of supplier evaluation 5 and application.
Refer to shown in Fig. 2, the invention allows for a kind of electric-power metering asset data on-line processing method, this on-line processing method comprises the following steps:
(1), metadatabase is set up: set up electric-power metering asset metadata repository by the design of metadata logical model, meta-data extraction, metadata store successively;
(2), data acquisition: according to the data collecting rule defined in metadatabase, from metering production scheduling platform, sales service application system, power information acquisition system, extract file data and each link business datum of life cycle management of measuring asset, complete the centralized stores of measuring asset life cycle management data;
(3), Data Analysis Services: the continuous data obtained with data acquisition is input, on the basis in statistical study measuring asset whole-life cycle fee achievement data storehouse, in conjunction with measuring asset whole-life cycle fee evaluation model, complete the analyzing and processing of measuring asset life cycle management data;
(4), data store: build source data layer, data encasement layer successively, gather layer, represent the logical model of layer four layer data storage organization and the storage of the layering and zoning of data acquisition, statistical study, the model calculation data;
(5), market demand: create patterned human-computer interaction interface, realize comprising assets general status, Asset State analysis, asset quality analysis, life of assets prediction, the measuring asset life cycle management data exhibiting of the large theme of supplier evaluation 5 and application.
Detailed process is as follows:
In step (1), design the metering metadata store logical model based on relation data library storage, complete to measure production scheduling platform, sales service application system, power information acquisition system metadata be master, data sampling and processing rule and related constraint are auxiliary meta-data extraction, the metadata extracted are imported in the metadatabase of logically modelling.
Metering content metadata in metadatabase comprises data acquisition metadata, quality of data metadata, data processing metadata; Data acquisition metadata defines data pick-up in data acquisition, conversion, loading rule; Data processing metadata specify that data processing rule and correlation model definition information; Quality of data metadata defines quality of data Rule Information, and rule comprises integrality, consistance, service logic rationality three class of data.
In step (2), in data acquisition, based on the data quality standard of metadatabase definition, carry out quality of data comparative analysis and quality of data abnormality processing, solve measuring asset source system data quality problems.
The data gathered from metering production scheduling platform comprise measuring asset archive information and measuring asset contract, order, arrival, examination, calibrating, storage, dispensing service link data; From the data of described sales service application system collection comprise measuring asset installation, operation, remove, scrap service link data; The on-the-spot operating condition data of the data extracted from described power information acquisition system mainly measuring asset.
In step (3), the content in measuring asset whole-life cycle fee index storehouse comprises system management, supervision and management, quality management, implementation management, operational management, service management, supplier management, service evaluation; Described measuring asset whole-life cycle fee evaluation model comprises a batch measuring asset quality analysis model, measuring asset life assessment model, supplier Evaluation Model towards quality management.
In step (4), analyze the storage demand of measuring asset whole-life cycle fee data, build and comprise four layer data storage organization and logical models of source data layer, data encasement layer, data summarization layer, data exhibiting layer, the data processing stage of data acquisition, Data Analysis Services, metadata management etc. store.
Data store by structurized relevant database, complete in conjunction with the mode such as file server, memory database.Specifically in data storage procedure, integrated application comprises the Database performance tuning technology of data compression, parallel processing, subregion, index, guarantees the efficiency that data store and follow-up data is accessed.
In step (5), the dimension of data exhibiting and application comprises batch assets, batch assets, single assets, single assets four, can freely switch between different dimensions.
Wherein, general status intuitively represents the overall style and features of measuring asset, content contain Asset State situation, this year the condition of production, life of assets situation, asset quality situation, this year exit situation, the large theme of alarm early warning information 6;
The state of Asset State dissecting needle to measuring asset life-cycle management 8 key links is analyzed, and is respectively buying arrival, equipment acceptance, calibrating detection, storage dispensing, equipment installation, equipment operation, equipment Removal, asset retirement;
Asset quality analysis to exercise supervision analysis, alarm early warning mainly for measuring asset quality, evaluates from Asset Attributes index measuring asset sole mass level, identifies the key link and the important quality influence factor that affect measuring asset quality;
Life of assets is evaluated by measuring asset life-span mark post value and the comparative analysis in present situation life-span, carries out life prediction and evaluation, analyzes the single measuring asset of impact and batch main cause that the measuring asset life-span is lost;
Supplier evaluation realizes carrying out quantitative evaluation to the product quality management level of the supplier that gets the bid, and classifies to supplier according to evaluation result, is specifically divided into remarkable supplier, core supplier, basic supplier, supplier to be modified four class.
Claims (8)
1. an electric-power metering asset data treating apparatus, is characterized in that, comprises with lower module:
Data acquisition module: according to corresponding data collection rule and market demand demand, realize the file data of measuring asset and the acquisition of each link business datum of life cycle management;
Data processing module: by the data of data collecting module collected for inputting, in conjunction with measuring asset life cycle management index storehouse, measuring asset life cycle management evaluation model, the statistical study and the model that complete measuring asset data calculate;
Data memory module: complete the data storage comprising data acquisition, statistical study, the model calculation;
Market demand module: complete comprise assets general status, Asset State analysis, asset quality analysis, life of assets prediction, the large subject data of supplier evaluation 5 visual;
Metadata management module: as the basic support of data acquisition module, data processing module, data memory module, market demand module, comprise metadata automatic acquisition, metadata manual maintenance, metadata access function, to guarantee the efficient work of data quality control module;
Data quality control module: comprise data quality monitoring, data problem process, quality of data function of reporting, improves the shoring of foundation ability of continuous data further.
2. a kind of electric-power metering asset data treating apparatus as claimed in claim 1, it is characterized in that, described data memory module comprises source data memory block, data encasement district, data summarization district and data exhibiting district.
3. a kind of electric-power metering asset data on-line processing method as claimed in claim 1 or 2, is characterized in that, comprise the following steps:
(1), metadatabase is set up: set up electric-power metering asset metadata repository by the design of metadata logical model, meta-data extraction, metadata store successively;
(2), data acquisition: according to the data collecting rule defined in metadatabase, from metering production scheduling platform, sales service application system, power information acquisition system, extract file data and each link business datum of life cycle management of measuring asset, complete the centralized stores of measuring asset life cycle management data;
(3), Data Analysis Services: the continuous data obtained with data acquisition is input, on the basis in statistical study measuring asset whole-life cycle fee achievement data storehouse, in conjunction with measuring asset whole-life cycle fee evaluation model, complete the analyzing and processing of measuring asset life cycle management data;
(4), data store: build source data layer, data encasement layer successively, gather layer, represent the logical model of layer four layer data storage organization and the storage of the layering and zoning of data acquisition, statistical study, the model calculation data;
(5), market demand: create patterned human-computer interaction interface, realize comprising assets general status, Asset State analysis, asset quality analysis, life of assets prediction, the measuring asset life cycle management data exhibiting of the large theme of supplier evaluation 5 and application.
4. electric-power metering asset data on-line processing method as claimed in claim 3, is characterized in that, in described step (1), metering content metadata comprises data acquisition metadata, quality of data metadata, data processing metadata; Described data acquisition metadata defines data pick-up in data acquisition, conversion, loading rule; Described data processing metadata specify that data processing rule and correlation model definition information; Described quality of data metadata defines quality of data Rule Information, and rule comprises integrality, consistance, service logic rationality three class of data.
5. electric-power metering asset data on-line processing method as claimed in claim 3, it is characterized in that, in described step (2), the data gathered from described metering production scheduling platform comprise measuring asset archive information and measuring asset contract, order, arrival, examination, calibrating, storage, dispensing service link data; From the data of described sales service application system collection comprise measuring asset installation, operation, remove, scrap service link data; The on-the-spot operating condition data of the data extracted from described power information acquisition system mainly measuring asset.
6. electric-power metering asset data on-line processing method as claimed in claim 3, it is characterized in that, in described step (3), the content in described measuring asset whole-life cycle fee index storehouse comprises system management, supervision and management, quality management, implementation management, operational management, service management, supplier management, service evaluation; Described measuring asset whole-life cycle fee evaluation model comprises a batch measuring asset quality analysis model, measuring asset life assessment model, supplier Evaluation Model towards quality management.
7. electric-power metering asset data on-line processing method as claimed in claim 3, it is characterized in that, in described step (5), the dimension of described data exhibiting and application comprises batch assets, batch assets, single assets, single assets four, can freely switch between different dimensions.
8. electric-power metering asset data on-line processing method as claimed in claim 3, it is characterized in that, in described step (5), described general status intuitively represents the overall style and features of measuring asset, content contain Asset State situation, this year the condition of production, life of assets situation, asset quality situation, this year exit situation, the large theme of alarm early warning information 6;
The state of described Asset State dissecting needle to measuring asset life-cycle management 8 key links is analyzed, and is respectively buying arrival, equipment acceptance, calibrating detection, storage dispensing, equipment installation, equipment operation, equipment Removal, asset retirement;
Described asset quality analysis to exercise supervision analysis, alarm early warning mainly for measuring asset quality, evaluates from Asset Attributes index measuring asset sole mass level, identifies the key link and the important quality influence factor that affect measuring asset quality;
Described life of assets evaluation, by measuring asset life-span mark post value and the comparative analysis in present situation life-span, carries out life prediction and evaluation, analyzes the single measuring asset of impact and batch main cause that the measuring asset life-span is lost;
Described supplier evaluation realizes carrying out quantitative evaluation to the product quality management level of the supplier that gets the bid, and classifies to supplier according to evaluation result, is specifically divided into remarkable supplier, core supplier, basic supplier, supplier to be modified four class.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510954194.3A CN105354616A (en) | 2015-12-18 | 2015-12-18 | Processing device and on-line processing method for electric power measurement asset data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510954194.3A CN105354616A (en) | 2015-12-18 | 2015-12-18 | Processing device and on-line processing method for electric power measurement asset data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105354616A true CN105354616A (en) | 2016-02-24 |
Family
ID=55330583
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510954194.3A Pending CN105354616A (en) | 2015-12-18 | 2015-12-18 | Processing device and on-line processing method for electric power measurement asset data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105354616A (en) |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106022666A (en) * | 2016-07-28 | 2016-10-12 | 国网上海市电力公司 | Measuring asset full life cycle management data quality checking method |
CN106127399A (en) * | 2016-06-30 | 2016-11-16 | 国网江苏省电力公司南通供电公司 | Deposit project intelligent auditing method based on group of assets |
CN106156947A (en) * | 2016-07-01 | 2016-11-23 | 北京华科合创科技发展有限公司 | A kind of production operation security risk managing and control system |
CN106203828A (en) * | 2016-07-11 | 2016-12-07 | 浪潮软件集团有限公司 | Data management platform based on data full life cycle management |
CN106295882A (en) * | 2016-08-10 | 2017-01-04 | 国网北京市电力公司 | For predicting data processing method and the device of device requirement |
CN106485797A (en) * | 2016-09-30 | 2017-03-08 | 广东中星微电子有限公司 | Parking timing method and time parking devices |
CN106709575A (en) * | 2016-11-29 | 2017-05-24 | 浙江中新电力发展集团有限公司 | Power transmission and distribution equipment whole life cycle management system and method based on waveguide technology |
CN108764823A (en) * | 2018-05-11 | 2018-11-06 | 甘肃祥龙科技服务有限责任公司 | A kind of data analysis statistical system based on science service |
CN108876146A (en) * | 2018-06-14 | 2018-11-23 | 国网山东省电力公司聊城供电公司 | A kind of electric network data class assets management method and system |
CN109255524A (en) * | 2018-08-16 | 2019-01-22 | 广西电网有限责任公司电力科学研究院 | A kind of measuring equipment data analyzing evaluation method and system |
CN109408448A (en) * | 2018-12-05 | 2019-03-01 | 江苏恒创软件有限公司 | One kind can carry out centralized processing integration data to data and show platform |
CN109816292A (en) * | 2017-11-22 | 2019-05-28 | 上海德启信息科技有限公司 | A kind of storage information library method for building up and system |
CN110689241A (en) * | 2019-09-12 | 2020-01-14 | 国网上海市电力公司 | Power grid physical asset evaluation system based on big data |
CN111784198A (en) * | 2020-07-20 | 2020-10-16 | 国网山东省电力公司鄄城县供电公司 | Monitoring method and device for metering assets and computer equipment |
CN113076207A (en) * | 2021-04-27 | 2021-07-06 | 无锡星凝互动科技有限公司 | Data superposition processing method and system based on quality management |
CN113806339A (en) * | 2020-06-11 | 2021-12-17 | 中国标准化研究院 | Data asset management system and method |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110295865A1 (en) * | 2010-05-27 | 2011-12-01 | Microsoft Corporation | Schema Contracts for Data Integration |
CN103632198A (en) * | 2013-11-04 | 2014-03-12 | 国家电网公司 | Visualized and full-life measurement asset management system based on intelligent mobile terminal |
-
2015
- 2015-12-18 CN CN201510954194.3A patent/CN105354616A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110295865A1 (en) * | 2010-05-27 | 2011-12-01 | Microsoft Corporation | Schema Contracts for Data Integration |
CN103632198A (en) * | 2013-11-04 | 2014-03-12 | 国家电网公司 | Visualized and full-life measurement asset management system based on intelligent mobile terminal |
Non-Patent Citations (3)
Title |
---|
岳振宇: "基于一体化平台项目的计量资产全寿命周期管理研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
彭楚宁等: "计量资产全寿命周期管理模型研究及系统实现", 《电测与仪表》 * |
沈秋英等: "计量资产全寿命周期管理过程中供应商评价模型研究", 《扬州大学学报(人文社会科学版)》 * |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106127399A (en) * | 2016-06-30 | 2016-11-16 | 国网江苏省电力公司南通供电公司 | Deposit project intelligent auditing method based on group of assets |
CN106156947A (en) * | 2016-07-01 | 2016-11-23 | 北京华科合创科技发展有限公司 | A kind of production operation security risk managing and control system |
CN106203828A (en) * | 2016-07-11 | 2016-12-07 | 浪潮软件集团有限公司 | Data management platform based on data full life cycle management |
CN106022666A (en) * | 2016-07-28 | 2016-10-12 | 国网上海市电力公司 | Measuring asset full life cycle management data quality checking method |
CN106295882A (en) * | 2016-08-10 | 2017-01-04 | 国网北京市电力公司 | For predicting data processing method and the device of device requirement |
CN106485797A (en) * | 2016-09-30 | 2017-03-08 | 广东中星微电子有限公司 | Parking timing method and time parking devices |
CN106709575A (en) * | 2016-11-29 | 2017-05-24 | 浙江中新电力发展集团有限公司 | Power transmission and distribution equipment whole life cycle management system and method based on waveguide technology |
CN109816292A (en) * | 2017-11-22 | 2019-05-28 | 上海德启信息科技有限公司 | A kind of storage information library method for building up and system |
CN108764823A (en) * | 2018-05-11 | 2018-11-06 | 甘肃祥龙科技服务有限责任公司 | A kind of data analysis statistical system based on science service |
CN108876146A (en) * | 2018-06-14 | 2018-11-23 | 国网山东省电力公司聊城供电公司 | A kind of electric network data class assets management method and system |
CN109255524A (en) * | 2018-08-16 | 2019-01-22 | 广西电网有限责任公司电力科学研究院 | A kind of measuring equipment data analyzing evaluation method and system |
CN109408448A (en) * | 2018-12-05 | 2019-03-01 | 江苏恒创软件有限公司 | One kind can carry out centralized processing integration data to data and show platform |
CN110689241A (en) * | 2019-09-12 | 2020-01-14 | 国网上海市电力公司 | Power grid physical asset evaluation system based on big data |
CN113806339A (en) * | 2020-06-11 | 2021-12-17 | 中国标准化研究院 | Data asset management system and method |
CN111784198A (en) * | 2020-07-20 | 2020-10-16 | 国网山东省电力公司鄄城县供电公司 | Monitoring method and device for metering assets and computer equipment |
CN113076207A (en) * | 2021-04-27 | 2021-07-06 | 无锡星凝互动科技有限公司 | Data superposition processing method and system based on quality management |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105354616A (en) | Processing device and on-line processing method for electric power measurement asset data | |
Zidi et al. | Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment | |
CN105868373B (en) | Method and device for processing key data of power business information system | |
Guo et al. | Complex power system status monitoring and evaluation using big data platform and machine learning algorithms: a review and a case study | |
Lai et al. | Application of big data in smart grid | |
CN117196066A (en) | Intelligent operation and maintenance information analysis model | |
CN115860529A (en) | Supply chain carbon accounting system based on industrial internet | |
CN106030565A (en) | Computer performance prediction using search technologies | |
CN116703303A (en) | Warehouse visual supervision system and method based on multi-layer perceptron and RBF | |
CN111310803B (en) | Environment data processing method and device | |
Khuntia et al. | Smart asset management for electric utilities: Big data and future | |
CN115358522A (en) | Enterprise online monitoring system and method | |
CN113485989A (en) | Comprehensive analysis method, system, medium and equipment for supervision data | |
CN113869589A (en) | Power transmission line accident prediction method based on knowledge graph and inspection system | |
Härting et al. | Cost-benefit considerations for data analytics-an SME-oriented framework enhanced by a management perspective and the process of idea generation | |
CN111080364A (en) | Engineering cost data center management system and device | |
CN115330404A (en) | System and method for electric power marketing inspection | |
CN114881818A (en) | Electronic material evidence data analysis system | |
CN114254806A (en) | Power distribution network heavy overload early warning method and device, computer equipment and storage medium | |
CN110689241A (en) | Power grid physical asset evaluation system based on big data | |
Zhang | Portrait analysis of power transmission line for smart grid based on external data association fusion | |
CN114968744B (en) | Implementation method and system based on financial industry capacity management prediction analysis AI algorithm | |
CN115327675B (en) | Method, system, equipment and storage medium for monitoring running state of meteorological equipment | |
CN117150389B (en) | Model training method, carrier card activation prediction method and equipment thereof | |
Li | The Application of AI-Based Technology in Computer Network Operation and Maintenance |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160224 |