Intelligent Management Model for Two-ticket System of Power Grid Enterprise Safety Production by Big Data

The smart power grid is crucial for modern energy systems, offering enhanced efficiency, reliability, and sustainability through advanced technologies. The two-ticket operations, i.e., work ticket and operation ticket, ensure safety and stability in grid management. However, traditional methods of managing these tickets face inefficiencies, errors, and safety risks, mainly due to the manual processes. With more complexity of the operations, these challenges still threaten the overall performance. This paper examines the application of big data analytics to optimize the management of grid two-ticket system. By leveraging predictive maintenance, real-time monitoring, and decision-making support, big data analysis can significantly improve the efficiency, safety, and reliability of smart grid operations. The integration of these technologies addresses the limitations of traditional methods and supports the evolution of more resilient and intelligent energy systems.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/eit63098.2024.10762178
Primary Topic
Safety and Risk Management
Type
article
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Intelligent Management Model for Two-ticket System of Power Grid Enterprise Safety Production by Big Data

Yongzhan Li, Lingyi Chen, Fayan Zhang, Chengwei Huang et al.
Safety and Risk Management
article

Intelligent Management Model for Two-ticket System of Power Grid Enterprise Safety Production by Big Data

Yongzhan Li, Lingyi Chen, Fayan Zhang, Chengwei Huang, Quan Guo
article en

Abstract

The smart power grid is crucial for modern energy systems, offering enhanced efficiency, reliability, and sustainability through advanced technologies. The two-ticket operations, i.e., work ticket and operation ticket, ensure safety and stability in grid management. However, traditional methods of managing these tickets face inefficiencies, errors, and safety risks, mainly due to the manual processes. With more complexity of the operations, these challenges still threaten the overall performance. This paper examines the application of big data analytics to optimize the management of grid two-ticket system. By leveraging predictive maintenance, real-time monitoring, and decision-making support, big data analysis can significantly improve the efficiency, safety, and reliability of smart grid operations. The integration of these technologies addresses the limitations of traditional methods and supports the evolution of more resilient and intelligent energy systems.

Hohai University (CN), Power Grid Corporation (India) (IN)
Affordable and clean energy
Openalex Percentile: Top 64%
Safety and Risk Management
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Intelligent Management Model for Two-ticket System of Power Grid Enterprise Safety Production by Big Data — Yongzhan Li, Lingyi Chen, et al. · (2024) | TGRS Research Map | TGRS