Article: Research on intelligent management of the full lifecycle of power communication equipment based on knowledge graphs Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.42 pp.72 - 92 Abstract: A new abstract has been updated. The specific content is as follows: As power communication networks grow more intelligent and complex, traditional management models struggle with information silos, weak knowledge links, and low decision efficiency when handling massive heterogeneous data across equipment lifecycles. To address this, this paper proposes a knowledge graph-based intelligent management method for power communication equipment's full lifecycle. It organises multi-source data from procurement, installation, operation, maintenance, and decommissioning stages, constructs a domain ontology, and uses NLP and entity-relationship extraction to fuse unstructured knowledge. A graph database-stored lifecycle knowledge graph supports state tracing, fault diagnosis, and maintenance recommendations. Experiments show the method integrates equipment chain information, boosts data efficiency, and enhances O&M decision intelligence, supporting reliable power communication system operations. Inderscience Publishers - linking academia, business and industry through research

Title: Research on intelligent management of the full lifecycle of power communication equipment based on knowledge graphs

Authors: Jing Zhang; Shaolei Chen; Lin Guo; Jiang Xie; Bo Li; Rui Zhong

Addresses: Power Dispatch Control Center, State Grid Yibin Electric Power Supply Company, Yibin, Sichuan, China ' Power Dispatch Control Center, State Grid Sichuan Electric Power Company, Chengdu, Sichuan, China ' Power Dispatch Control Center, State Grid Sichuan Electric Power Company, Chengdu, Sichuan, China ' Power Dispatch Control Center, State Grid Yibin Electric Power Supply Company, Yibin, Sichuan, China ' Technology Digitalization Department, State Grid Yibin Electric Power Supply Company, Yibin, Sichuan, China ' Technology Digitalization Department, State Grid Yibin Electric Power Supply Company, Yibin, Sichuan, China

Abstract: A new abstract has been updated. The specific content is as follows: As power communication networks grow more intelligent and complex, traditional management models struggle with information silos, weak knowledge links, and low decision efficiency when handling massive heterogeneous data across equipment lifecycles. To address this, this paper proposes a knowledge graph-based intelligent management method for power communication equipment's full lifecycle. It organises multi-source data from procurement, installation, operation, maintenance, and decommissioning stages, constructs a domain ontology, and uses NLP and entity-relationship extraction to fuse unstructured knowledge. A graph database-stored lifecycle knowledge graph supports state tracing, fault diagnosis, and maintenance recommendations. Experiments show the method integrates equipment chain information, boosts data efficiency, and enhances O&M decision intelligence, supporting reliable power communication system operations.

Keywords: knowledge graph; power communication equipment; full life cycle management; intelligent operation and maintenance; graph database.

DOI: 10.1504/IJICT.2026.153381

International Journal of Information and Communication Technology, 2026 Vol.27 No.42, pp.72 - 92

Received: 28 Nov 2025
Accepted: 27 Jan 2026
Published online: 06 May 2026 *

Title: Research on intelligent management of the full lifecycle of power communication equipment based on knowledge graphs

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