scholarly journals An AR Operation and Maintenance System for Data Center

2018 ◽  
Author(s):  
Changyu He ◽  
Xifa Song ◽  
Ying Rao ◽  
Chao Wu ◽  
Bo Zhang
Keyword(s):  
Data Center ◽  
Maintenance System ◽  
Operation And Maintenance

scholarly journals On-site Smart Operation and Maintenance System for Substation Equipment Based on Mobile Network

2018 ◽  
Vol 14 (03) ◽  
pp. 66 ◽  
Author(s):  
Lin Cheng ◽  
Wenshan Hu ◽  
Zhengyang Liu ◽  
Wei Cai
Keyword(s):  
Real Time ◽  
Data Center ◽  
Data Exchange ◽  
Mobile Network ◽  
Mobile App ◽  
Electrical Grid ◽  
Maintenance System ◽  
Operation And Maintenance ◽  
Long Time ◽  
Substation Equipment

The maintenance of substations is crucial for the safety of the electrical grid and power industry.<strong> </strong>However, for long time, the maintenance teams in the field and the experts in the power companies are divided. The data and expertise exchanges between the on-site maintenance teams and data center are delayed due to the lack of effective communication. This paper introduces an on-site smart operation maintenance system for substation equipment based on mobile network. It is able to establish real-time communication and data exchange channels between the maintenance teams and data center. It consists of an operation and maintenance system platform located on the data center side and smart operation and maintenance boxes with mobile APP which are carried to the field side by the maintenance teams. As the kernel of the system, the smart boxes are bridges between the data center and operation sites. On one hand, it is able to formally upload data to the data center in real-time. One the other hand, the operation and maintenance personnel are able to call for help from the resource on the data center anytime. Using the system proposed in the paper, both efficiency of the operation and maintenance and the normalization of the data can be improved.

scholarly journals Artificial intelligence-based network traffic analysis and automatic optimization technology

2021 ◽  
Vol 19 (2) ◽  
pp. 1775-1785
Author(s):  
Jiyuan Ren ◽  
◽  
Yunhou Zhang ◽  
Zhe Wang ◽  
Yang Song
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Correlation Model ◽  
Network Traffic Analysis ◽  
Operation And Maintenance ◽  
Depth Analysis ◽  
Tightly Coupled ◽  
Network Operation ◽  
Matching Rules ◽  
Transmission Status

<abstract> <p>Network operation and maintenance (O &amp; M) activities of data centers focus mainly on checking the operating states of devices. O &amp; M engineers determine how services are running and the bearing capacity of a data center by checking the operating states of devices. However, this method cannot reflect the real transmission status of business data; therefore, engineers cannot fully comprehensively perceive the overall running conditions of businesses. In this paper, ERSPAN (Encapsulated Remote Switch Port Analyzer) technology is applied to deliver stream matching rules in the forwarding path of TCP packets and mirror the TCP packets into the network O &amp; M AI collector, which is used to conduct an in-depth analysis on the TCP packets, collect traffic statistics, recapture the forwarding path, carry out delayed computing, and identify applications. This enables O &amp; M engineers to comprehensively perceive the service bearing status in a data center, and form a tightly coupled correlation model between networks and services through end-to-end visualized modeling, providing comprehensive technical support for data center optimization and early warning of network risks.</p> </abstract>

Sensing network security prevention measures of BIM smart operation and maintenance system

2020 ◽  
Vol 161 ◽  
pp. 360-367
Author(s):  
Yu Peng ◽  
Xinrong Liu ◽  
Ming Li ◽  
Zheng Li ◽  
Tao Hu ◽  
...  
Keyword(s):  
Network Security ◽  
Prevention Measures ◽  
Maintenance System ◽  
Operation And Maintenance
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