State Grid Qinghai Electric Power successfully launched online power grid inspection intelligent analysis system

[ China Instrument Network Instrument Development ] On September 25th, Qinghai Power ICT system operation and maintenance personnel are carrying out data quality analysis and comparison work for power grid inspection intelligent analysis system. According to reports, the system has completed 66 source table data extraction and management work since the system was online for one week. The daily real-time synchronization data of the system is consistent with the PMS2.0 system.

In order to realize the equipment state panorama, intelligent data analysis, production command intensification, and lean management of transportation inspection, and promote the transformation of transportation inspection mode to automation, intelligence and intensification, the intelligent analysis system of power grid inspection has been rapidly developed.
The intelligent analysis and decision-making system for power grid inspection is a modern information network technology based on Internet of Things, mobile internet, cloud computing, big data, etc. It has a smart data analysis and decision-making system with big data analysis and production command functions. The system has four core functions of information collection, process control, early warning, judgment and command coordination, which is conducive to improving equipment state control and inspection and management penetration. It is an important part of building a smart transportation inspection system. At present, the State Grid Chongqing Xintong Company and the State Grid Corporation have all launched the intelligent analysis system for power grid inspection.
The intelligent analysis and decision-making system for power grid inspection conducted by Qinghai Electric Power Communication Co., Ltd. adopts a two-level deployment mode, integrating 16 systems such as PMS2.0 and status monitoring of power transmission and transformation equipment, and deep integration through the “Internet +” inspection service. Bring together multi-source inspection business data sources, and use big data technology to achieve comprehensive state analysis, active early warning and prediction, and accurate fault diagnosis and judgment.
At present, State Grid Qinghai Electric Power Company has accessed 465 data sheets of the system. The business application covers converter stations and DC lines, 35 kV and above AC lines and substations, including platform overview, production command, commutation, transmission, Substation 5 modules and 30 sub-modules, with equipment operating environment information and status monitoring, monitoring professional work process supervision and other functions.
The completion of the project has realized the real-time perception, online monitoring, scientific early warning, intelligent diagnosis and transportation inspection resources optimization and integration of supporting grid equipment, breaking the information island dilemma, integrating the multi-source system data of the inspection and inspection, and panoramicizing the equipment status. Data analysis automation and other means provide comprehensive multi-dimensional data support for the main network inspection and management work, and achieve the goal of improving equipment state control and inspection and management penetration.
In the next stage, State Grid Qinghai Power will continue to promote the practical use of the system, discover and rectify data problems from the data source side, complete the data governance after multi-source information integration, and better realize the data analysis application and business information. Accurate display, further support the effective operation of the intelligent inspection system.
(Source: State Grid News, China Electric Power News, China Power News Network)

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The data: 

Model

Capacity

(T/H)

Power

(KW)

Weight

(KG)

Demension
Remark
QSC-5
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QSC-7.5
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QSC-10
10 8.6 900 2900*1700*1800 Environment-freindly model
5XQC-7.5 7.5 15.5 1500 3800*1600*3200 Environment-freindly model

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