Automated Report Generation and Knowledge Management System for Photovoltaic Power Stations using Knowledge Graphs

DOI

10.2991/978-94-6463-447-1_39How to use a DOI?

Keywords

Data Fusion; Knowledge Graph; Knowledge Management; Automated Report Generation

Abstract

In the context of swift expansion in the photo- voltaic (PV) industry, developing new PV power stations has created substantial volumes of heterogeneous, multi-source data across design, construction, and operational stages. Presently, the potential of this data remains largely untapped due to the inadequacy of existing document and knowledge management systems to integrate and manage it effectively, leaving it fragmented and underutilized. Recognizing the absence of a comprehensive tool for the full-spectrum management and integration of data from project information to specific electrical designs in PV power station projects, this paper introduces a systematic solution designed to confront the intricate challenges of managing such diverse data. The system adeptly processes unstructured data through the adoption of automated knowledge graphs for data organization and analysis, facilitating the generation of professional engineering reports and signifying a notable advancement in knowledge management. The application of advanced ontological techniques for transforming unstructured data into a structured Resource Description Framework (RDF) format provides a sturdy foundation that enhances data integrity and accessibility while considerably reducing the manual labor associated with data processing. Additionally, the capability of this system to preserve complex data relationships within a graph database denotes a significant enhancement over conventional tabular data storage methods, improving project management efficiency. This progress enables effortless data visualization and querying, allowing for smooth navigation through the knowledge graph to locate specific information and understand its interconnections. Automatically creating detailed, precise project engineering reports from structured data and insights extracted from the knowledge graphs significantly uplifts communication and documentation standards within PV project management. This advancement offers satisfactory results for a broad spectrum of stakeholders needing rapid, comprehensive project insights to inform their decision-making processes. It is a pivotal step towards optimizing the use and management of data in renewable energy projects.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Aili Pang
AU  - Shihao Wang
AU  - Muhuan Wu
AU  - Junrui Zhang
PY  - 2024
DA  - 2024/07/14
TI  - Automated Report Generation and Knowledge Management System for Photovoltaic Power Stations using Knowledge Graphs
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 360
EP  - 375
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_39
DO  - 10.2991/978-94-6463-447-1_39
ID  - Pang2024
ER  -