CN-122022660-A - Metering asset management system for power grid

CN122022660ACN 122022660 ACN122022660 ACN 122022660ACN-122022660-A

Abstract

The invention relates to a metering asset management system for a power grid, which integrates multisource heterogeneous data resources through a multisource data integration technology, establishes a data visualization platform accessed by multiple terminals through a visualization platform building assembly, displays key indexes such as equipment inventory quantity and storage state, asset operation abnormity monitoring, delivery timing rate and the like in real time, carries out large-scale processing calculation and quality monitoring on data through a data detection monitoring module to realize data scheduling and monitoring, builds a perfect data standard system, and finally builds a data asset catalog through an analysis processing module, carries out blood margin tracking and analysis processing on received abnormal data through metadata intelligent acquisition and quality evaluation analysis to realize recognition of abnormal states, ensures that each link of the metering asset data can be checked, controlled and traced, and finally forms a closed-loop management system of 'index driving+visual monitoring'.

Inventors

CUI CAN
ZHU LEI
LI MING
GUO CHAO
CHENG YANAN
HAN HUI
QIN ZIQING
YANG DAN
SHI WENLONG
ZHANG XUEZI

Assignees

国网河南省电力公司商丘供电公司

Dates

Publication Date: 20260512
Application Date: 20251201

Claims (7)

1. The utility model provides a metering asset management system for electric wire netting, includes data acquisition module, data storage module, data integration module, wireless transmission module, visual platform building set, data detection monitoring module, analysis processing module, early warning module and mark module, its characterized in that: The data acquisition module can be designed based on a distributed architecture, and can realize efficient acquisition of multi-source heterogeneous service data by using a Kafka or NiFi tool, so that the real-time performance and the reliability of data access are ensured; The data storage module is used for carrying out storage backup on the data acquired by the data acquisition module and constructing a data warehouse through a distributed file system after that; The data integration module is used for realizing integration of the full life cycle data of the metering asset based on the internal data information of the data storage module through a multi-platform data integration technology; The wireless transmission module is used for carrying out real-time transmission of data among the modules; The visual platform building assembly can integrate ECharts assemblies to realize dynamic chart interaction while guaranteeing real-time updating of data by utilizing a change data capturing technology based on the data transmitted by the data transmission module, and finally establishes a multi-terminal accessed data visual platform to realize full life cycle visual management and control from inventory management, operation monitoring to distribution scheduling, provide decision support for management staff and improve asset operation efficiency; The data detection monitoring module is used for carrying out large-scale processing calculation and quality monitoring on data through Great Expectations tools, constructing a complete data standard system while realizing scheduling and monitoring of complex data processing tasks, automatically detecting abnormal data by utilizing a rule engine after the complex data processing tasks are completed, and carrying out real-time transmission on the abnormal data after the detection is completed; the analysis processing module is used for carrying out blood-margin tracking and analysis processing on the received abnormal data by constructing a data asset catalog and utilizing metadata intelligent acquisition and quality evaluation analysis, searching the source and the conduction path of the abnormal data, thereby realizing the identification of the abnormal state and giving an analysis suggestion; The early warning module is used for constructing an early warning model by utilizing a scientific algorithm, and sending an alarm signal in real time while carrying out grading treatment on the abnormal state through the early warning model; the marking module is used for carrying out special marking on the source end of the abnormal state on the data visualization platform based on the analysis suggestion given by the analysis processing module so as to facilitate subsequent manual rechecking and abnormal processing.
2. A metering asset management system for electrical network as claimed in claim 1, wherein said metering asset full life cycle data comprises asset archives, inventory, distribution, installation, operation, and dismantling business data.
3. A metering asset management system for electric network as claimed in claim 1, wherein the data storage module is internally provided with an editing unit, and the editing unit can be used for carrying out data searching operation in a data warehouse constructed by the data storage module.
4. The metering asset management system for the power grid of claim 1, wherein the visual platform building assembly is externally connected with a display assembly, and the display assembly is used for displaying the data chart, the data management effect and the key indexes.
5. The system for managing the metering asset for the power grid, as set forth in claim 1, is characterized in that the operation of integrating the full life cycle data of the metering asset is specifically to realize efficient aggregation and cleaning of cross-system data through an ETL tool, and realize real-time penetration and consistency of the full life cycle data of the metering asset in a marketing business link while standardizing a data format.
6. A metering asset management system for electrical networks as claimed in claim 1, characterized in that said abnormal state comprises in particular stock threshold, equipment failure and delivery delay.
7. A metering asset management system for electrical networks as claimed in claim 1, characterized in that the data standard hierarchy comprises data definition specifications, naming rules and quality standards.

Description

Metering asset management system for power grid Technical Field The invention belongs to the technical field of power grid data management, and particularly relates to a metering asset management system for a power grid. Background The management efficiency of the metering asset is used as a core element for supporting enterprise operation, the management efficiency is directly related to key performance indexes such as power supply service quality, operation cost control and customer satisfaction, under the current digital transformation background, the metering asset management system of the national network company faces systematic challenges, the comprehensive carding of the existing management system is found to face multidimensional problems such as data island, equipment operation and maintenance lag, low flow efficiency and the like at present, and the management efficiency is particularly characterized in that 1, a marketing 2.0 system, an intelligent metering laboratory and an electricity consumption information acquisition system independently operate to form obvious data splitting phenomenon, so that the situation that the whole life cycle data of the asset cannot be effectively penetrated and the abnormal situation of metering asset data is repeatedly input or information is caused, and 2, an intelligent turnover cabinet, an intelligent flat warehouse and the like have obvious time lag in positioning and processing of the abnormal situation of the metering asset management equipment, and the method of excessively relying on manual inspection and post processing, so that the operation and maintenance cost is increased, equipment damage and the like are possibly brought, therefore, the problems are solved, and the intelligent metering asset management system is reasonable and the system is reasonably developed. Disclosure of Invention The invention aims to overcome the defects of the prior art and provides an intelligent, efficient, convenient and reasonable metering asset management system for a power grid. The invention aims to realize that the metering asset management system for the power grid comprises a data acquisition module, a data storage module, a data integration module, a wireless transmission module, a visual platform building assembly, a data detection monitoring module, an analysis processing module and a marking module, wherein the data acquisition module can be designed based on a distributed architecture, and high-efficiency acquisition of multi-source heterogeneous service data can be realized by using a Kafka or NiFi tool, so that the real-time performance and the reliability of data access are ensured; The data storage module is used for carrying out storage backup on the data acquired by the data acquisition module and constructing a data warehouse through a distributed file system after that; The data integration module is used for realizing integration of the full life cycle data of the metering asset based on the internal data information of the data storage module through a multi-platform data integration technology; The wireless transmission module is used for carrying out real-time transmission of data among the modules; The visual platform building assembly can integrate ECharts assemblies to realize dynamic chart interaction while guaranteeing real-time updating of data by utilizing a change data capturing technology based on the data transmitted by the data transmission module, and finally establishes a multi-terminal accessed data visual platform to realize full life cycle visual management and control from inventory management, operation monitoring to distribution scheduling, provide decision support for management staff and improve asset operation efficiency; The data detection monitoring module is used for carrying out large-scale processing calculation and quality monitoring on data through Great Expectations tools, constructing a complete data standard system while realizing scheduling and monitoring of complex data processing tasks, automatically detecting abnormal data by utilizing a rule engine after the complex data processing tasks are completed, and carrying out real-time transmission on the abnormal data after the detection is completed; the analysis processing module is used for carrying out blood-margin tracking and analysis processing on the received abnormal data by constructing a data asset catalog and utilizing metadata intelligent acquisition and quality evaluation analysis, searching the source and the conduction path of the abnormal data, thereby realizing the identification of the abnormal state and giving an analysis suggestion; The early warning module is used for constructing an early warning model by utilizing a scientific algorithm, and sending an alarm signal in real time while carrying out grading treatment on the abnormal state through the early warning model; the marking module is used for carrying out special marking on the source e