领域本体,整合建筑一体化光伏、电池储能、建筑能源柔性信息,实现可解释性运维

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers in Industry Pub Date : 2025-04-01 Epub Date: 2025-01-23 DOI:10.1016/j.compind.2025.104250
Xiaoyue Yi , Llewellyn Tang , Reynold Cheng , Mengtian Yin , Yu Zheng
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引用次数: 0

摘要

目前,结合电池储能(BES)和建筑能源柔性(BEF)系统的建筑集成光伏(BIPV)日益流行。在BIPV、BES和BEF的运维过程中,包含和产生了各种各样的知识。这突出了系统之间的信息交互以及整合不同领域知识的需求。然而,这些系统在O&;M期间仍然相对孤立,并且存在机器可读知识表示不足的问题。在语义web技术时代,基于本体的方法在异构信息集成方面具有广阔的应用前景。本研究开发了一个名为“BIPV-BES-BEF”的领域本体,通过相关标准丰富本体语义,利用现有本体资源,整合BIPV、BES和BEF的o&m信息。在流程本体构建中,首先根据授权代码中的概念从相关本体中识别出与BIPV、BES和BEF相关的类。然后对这些识别类中余弦相似度高的类进行积分。然后将相关标准中有关BIPV、BES和BEF的o&m的概念和规则合并到本体和语义web规则中。生成的本体由总共2595个公理和649个类组成,包括与BIPV、BES和BEF组件、系统细节、评估标准以及O&元素相关的综合概念。构建的本体被评估为连贯的,能够通过构建的知识进行推理。本研究构建了一个以BIPV、BES和BEF为目标的本体,突出了基于本体的方法在BIPV、BES和BEF数据集成和知识推理方面的潜力。
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Domain ontology to integrate building-integrated photovoltaic, battery energy storage, and building energy flexibility information for explicable operation and maintenance
Building-integrated photovoltaics (BIPV) incorporated with battery energy storage (BES) and building energy flexibility (BEF) system is nowadays increasingly prevalent. During the operation and maintenance (O&M) of BIPV, BES, and BEF, various knowledge is contained and generated. This highlights information interaction among systems and the demand for incorporating diverse domain knowledge. However, these systems remain relatively isolated during O&M and suffer from inadequate machine-readable knowledge representation. In the era of semantic web technology, ontology-based methods are promising to integrate heterogeneous information. This study developed a domain ontology named “BIPV-BES-BEF” to integrate BIPV, BES, and BEF O&M information by enriching ontology semantics through relevant standards and leveraging existing ontology resources. In the process ontology construction, classes associated with BIPV, BES, and BEF were initially identified from relevant ontologies based on concepts in authorized codes. The classes with high cosine similarity within these recognized classes were subsequently integrated. Concepts and rules concerning the O&M of BIPV, BES, and BEF from relevant standards were then incorporated to the ontology and semantic web rules. The resulting ontology consists of a total of 2595 axioms and 649 classes, encompassing comprehensive concepts related to BIPV, BES, and BEF components, system specifics, assessment criteria, as well as O&M elements. The built ontology was assessed to be coherent and capable of reasoning through the built knowledge. This study contributes to an ontology purposing BIPV, BES, and BEF O&M, highlighting the potential of ontology-based approaches in BIPV, BES, and BEF data integration and knowledge inference.
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来源期刊
Computers in Industry
Computers in Industry 工程技术-计算机:跨学科应用
CiteScore
18.90
自引率
8.00%
发文量
152
审稿时长
22 days
期刊介绍: The objective of Computers in Industry is to present original, high-quality, application-oriented research papers that: • Illuminate emerging trends and possibilities in the utilization of Information and Communication Technology in industry; • Establish connections or integrations across various technology domains within the expansive realm of computer applications for industry; • Foster connections or integrations across diverse application areas of ICT in industry.
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