Building energy efficiency evaluation method and system based on hybrid semantic reasoning technology

Abstract

The invention discloses a building energy efficiency evaluation method and a system based on a hybrid semantic reasoning technology. The method comprises the steps that a cloud server obtains multi-source heterogeneous data (including semantic reasoning rules, semantic ontology data and semantic instance data) related to the building energy efficiency, and multi-level reasoning is conducted on themulti-source data related to the building energy efficiency through the hybrid semantic reasoning technology. A reasoning module comprises a Jena reasoning machine and a Pellet reasoning machine; theJena inference engine comprises a term axiom set assembly and an assertion fact set assembly. If yes, the cloud server performs reasoning on different data sources by adopting a term axiom set component, an assertion fact set component and a semantic reasoning rule component; the reasoning process relates to sensor network information, weather information, schedule information and the like, the output implicit knowledge / association forms a building energy efficiency knowledge base, the knowledge base can meet the data flow requirements of building energy efficiency evaluation indexes, automatic calculation of the building energy efficiency evaluation indexes is completed, and deep and all-around evaluation of the building energy efficiency is achieved.

Description

technical field [0001] The invention belongs to the intersection field of semantic web technology and building energy efficiency evaluation, and in particular relates to a building energy efficiency evaluation method and system based on hybrid semantic reasoning technology. Background technique [0002] Building energy efficiency analysis and evaluation is one of the emerging disciplines in recent years. In North America, building energy consumption accounts for 40% of energy consumption, and it is the focus of research and evaluation in various academic and industrial circles. [0003] In the current research, there is more and more semantic research on cross-domain building information, especially data association technology involving cross-domain. For example, ifcOWL defines a building information model (IFC) ontology, which can be expressed through the OWL language table, and can also be expressed through IFC's EXPRESS schema. [0004] However, in the current research, ...

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Problems solved by technology

[0005] The present invention provides a building energy efficiency evaluation method and system based on hybrid semantic reasoning technology, which solves the problem of implicit knowledge that does not target cross-fields in the prior art by inferring implicit knowledge and the implicit association between building information in cross-fields The inaccurate, inflexible and low-efficiency assessment of building energy efficiency

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