Semi-automatic Ontology Matching for Automotive Industry Ford Laboratory

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00309942" target="_blank" >RIV/68407700:21230/16:00309942 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/16:00309942

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Semi-automatic Ontology Matching for Automotive Industry Ford Laboratory

Popis výsledku v původním jazyce

All manufacturing companies need to be able to closely monitor the processes, labor, tooling, parts and throughput on the assembly plant oor. This is often complicated because of the large number of plant oor applications that operate using different hardware and software tools. In many cases there are a large number of devices that need to be monitored and from which critical data must be extracted and analyzed. This situation calls for the use of an architecture that can support data from heterogeneous sources and support the analysis of data and communication with these devices. Another factor to consider are the significant differences between the hardware/software at different manufacturing facilities even though they may be building the same product. This can be due to a variety of reasons including availability of tooling at different locations around the world, local differences and the need to support different versions of hardware and software at many plants.

Název v anglickém jazyce

Semi-automatic Ontology Matching for Automotive Industry Ford Laboratory

Popis výsledku anglicky

All manufacturing companies need to be able to closely monitor the processes, labor, tooling, parts and throughput on the assembly plant oor. This is often complicated because of the large number of plant oor applications that operate using different hardware and software tools. In many cases there are a large number of devices that need to be monitored and from which critical data must be extracted and analyzed. This situation calls for the use of an architecture that can support data from heterogeneous sources and support the analysis of data and communication with these devices. Another factor to consider are the significant differences between the hardware/software at different manufacturing facilities even though they may be building the same product. This can be due to a variety of reasons including availability of tooling at different locations around the world, local differences and the need to support different versions of hardware and software at many plants.

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.