3 research outputs found
ΠΠ½ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π³ΠΈΠ±ΡΠΈΠ΄Π½ΡΡ ΡΠ΅ΠΌΠ°Π½ΡΠΈΡΠ΅ΡΠΊΠΈ ΡΠΎΠ²ΠΌΠ΅ΡΡΠΈΠΌΡΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ ΡΠΈΡΡΠ΅ΠΌ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΌΡΡΠ»ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ Π·Π½Π°Π½ΠΈΠΉ
Π Π°Π±ΠΎΡΠ° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ΅ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ΅ΠΌΠ°Π½ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΠ²ΠΌΠ΅ΡΡΠΈΠΌΠΎΡΡΠΈ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΠΎΠ²ΠΌΠ΅ΡΡΠΈΠΌΠΎΡΡΠΈ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΡΡΠ°Π½Π΄Π°ΡΡΠΎΠ² ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΊΠ»ΡΡΠ΅Π²ΡΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ. Π€ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎ ΡΡΠΎΡΠ½Π΅Π½ΠΎ ΠΏΠΎΠ½ΡΡΠΈΠ΅ ΡΠΌΡΡΠ»ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π² ΠΏΠ°ΠΌΡΡΠΈ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΊΠΎΡΠΎΡΠΎΠ΅ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ ΠΎΠ΄Π½ΠΎΠ·Π½Π°ΡΠ½ΠΎΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π·Π°Π΄Π°Π½Π½ΠΎΠ³ΠΎ Π½Π°Π±ΠΎΡΠ° ΠΏΠΎΠ½ΡΡΠΈΠΉ. ΠΠΎΠΊΠ°Π·Π°Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ Π·Π½Π°Π½ΠΈΠΉ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΡΠΌΡΡΠ»ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ Π·Π½Π°Π½ΠΈΠΉ, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΊ ΡΠΊΠ»Π΅ΠΈΠ²Π°Π½ΠΈΡ ΡΠΈΠ½ΠΎΠ½ΠΈΠΌΠΈΡΠ½ΡΡ
Π·Π½Π°ΠΊΠΎΠ². ΠΠΎΠΊΠ°Π·Π°Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π·Π½Π°Π½ΠΈΠΉ, Π΅ΡΠ»ΠΈ ΡΡΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠΎΠ±ΠΎΠΉ ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ²Ρ Π°Π³Π΅Π½ΡΠΎΠ², ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π½Π° ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΡ Π·Π½Π°Π½ΠΈΠΉ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
Π² ΠΏΠ°ΠΌΡΡΠΈ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ Π² ΡΠΌΡΡΠ»ΠΎΠ²ΠΎΠΉ ΡΠΎΡΠΌΠ΅, ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΡΡΡΠΈΡ
ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ±ΠΎΠΉ ΡΠ΅ΡΠ΅Π· ΡΠΊΠ°Π·Π°Π½Π½ΡΡ ΠΏΠ°ΠΌΡΡΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° Π’Π΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡOSTIS, ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½Π°ΡΠ½Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΡ ΡΠ΅ΠΌΠ°Π½ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΡ ΠΠΊΠΎΡΠΈΡΡΠ΅ΠΌΡ OSTIS, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡΠ΅ΠΉ ΡΠΎΠ±ΠΎΠΉ ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ² Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΡΡΡΠΈΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ, ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΡΡ
ΠΏΠΎ Π’Π΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ OSTIS ΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°ΡΡΠΈΡ
ΡΠ²ΠΎΠ»ΡΡΠΈΡ ΠΈ ΡΠΎΠ²ΠΌΠ΅ΡΡΠΈΠΌΠΎΡΡΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ Π² Ρ
ΠΎΠ΄Π΅ ΠΈΡ
ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π΄Π°Π½Π½ΠΎΠΉ ΡΠΊΠΎΡΠΈΡΡΠ΅ΠΌΡ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π’Π΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ OSTIS ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΡΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ
A Knowledge Graph Based Integration Approach for Industry 4.0
The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial Intelligence (AI). Realizing smart factories according to the I40 vision requires intelligent human-to-machine and machine-to-machine communication. To achieve this communication, CPS along with their data need to be described and interoperability conflicts arising from various representations need to be resolved. For establishing interoperability, industry communities have created standards and standardization frameworks. Standards describe main properties of entities, systems, and processes, as well as interactions among them. Standardization frameworks classify, align, and integrate industrial standards according to their purposes and features. Despite being published by official international organizations, different standards may contain divergent definitions for similar entities. Further, when utilizing the same standard for the design of a CPS, different views can generate interoperability conflicts. Albeit expressive, standardization frameworks may represent divergent categorizations of the same standard to some extent, interoperability conflicts need to be resolved to support effective and efficient communication in smart factories. To achieve interoperability, data need to be semantically integrated and existing conflicts conciliated. This problem has been extensively studied in the literature. Obtained results can be applied to general integration problems. However, current approaches fail to consider specific interoperability conflicts that occur between entities in I40 scenarios. In this thesis, we tackle the problem of semantic data integration in I40 scenarios. A knowledge graphbased approach allowing for the integration of entities in I40 while considering their semantics is presented. To achieve this integration, there are challenges to be addressed on different conceptual levels. Firstly, defining mappings between standards and standardization frameworks; secondly, representing knowledge of entities in I40 scenarios described by standards; thirdly, integrating perspectives of CPS design while solving semantic heterogeneity issues; and finally, determining real industry applications for the presented approach. We first devise a knowledge-driven approach allowing for the integration of standards and standardization frameworks into an Industry 4.0 knowledge graph (I40KG). The standards ontology is used for representing the main properties of standards and standardization frameworks, as well as relationships among them. The I40KG permits to integrate standards and standardization frameworks while solving specific semantic heterogeneity conflicts in the domain. Further, we semantically describe standards in knowledge graphs. To this end, standards of core importance for I40 scenarios are considered, i.e., the Reference Architectural Model for I40 (RAMI4.0), AutomationML, and the Supply Chain Operation Reference Model (SCOR). In addition, different perspectives of entities describing CPS are integrated into the knowledge graphs. To evaluate the proposed methods, we rely on empirical evaluations as well as on the development of concrete use cases. The attained results provide evidence that a knowledge graph approach enables the effective data integration of entities in I40 scenarios while solving semantic interoperability conflicts, thus empowering the communication in smart factories