PUB_INMOTION_n31_MARZO_2017_Interno96pag_160_PlanciaLR

Idati legati allo stato di salute delle macchine e alla
qualità della produzione sono soltanto alcune delle
tipologie di informazioni che sarà necessario raccogliere,
processare, conservare e controllare nella fabbrica
interconnessa. Le soluzioni cloud based rendono semplice
l’implementazione di servizi a valore aggiunto per il miglioramento
delle attività di monitoraggio, diagnostica e manutenzione,
evitando il più possibile fermi di produzione, incrementando
la qualità del servizio e consentendo un risparmio
economico.
Mind Sphere è la piattaforma cloud di Siemens al servizio
dell’industria. Un sistema operativo aperto per l’Internet
delle cose che permette di monitorare e controllare da remoto
dati e informazioni provenienti principalmente da sistemi
di campo come i sistemi di automazione (PLC), i sistemi
di azionamento, come i motori, o ancora i sistemi di
controllo, come i CNC.
La piattaforma cloud di Siemens si propone anche come
un marketplace che consente alle aziende di sviluppare e
commercializzare i propri servizi digitali, quali ad esempio
la manutenzione predittiva, la gestione dei dati energetici
e l’ottimizzazione delle risorse.
l Siemens è entrata nel mercato del cloud con una soluzione proprietaria
sviluppata per supportare le aziende nella gestione dei dati di produzione.
l Siemens has entered the cloud market with a proprietary, although open,
platform which aims at supporting the companies managing production data.
SPECIAL REPORT
When Industrial Data Move to the Cloud
An efficient control of information and data generated by production machines and systems
is very important to shift to the digital factory. Relying on its industrial and technical knowhow,
Siemens has entered the cloud market with a proprietary, although open, platform which
aims at supporting the companies managing production data or developing and selling digital
services.
The data related to machines operation
and production quality are just some of
the information to be collected, processed,
stored and controlled within the interconnected
factory. Cloud based solutions make it easy
to implement value-added services aimed
at improving monitoring, diagnostics and
maintenance, avoiding possible downtimes,
increasing service quality and allowing for
saves.
Mind Sphere is the cloud platform designed
by Siemens for industry. An open operating
system for the Internet of things that makes it
possible to remote monitor and control data
and information coming mainly from field
systems such as automation systems (PLCs),
InMotion
drive systems such as motors, or rather control
systems such as CNCs.
Siemens cloud platform also aims to act
as a marketplace that allows companies to
develop and sell digital services, like predictive
maintenance, energy data management, and
resource optimization.
The advantages of using the cloud
“Siemens has decided to become a player in
the cloud market with Mind Sphere, its own
proprietary platform”, explains Andrea Gozzi,
Business Development Manager of Industrial
Software for Machine Tools at Siemens Italia.
“We believe that starting from an industrial
and technical expertise is a great advantage
to bring cloud solutions into the industrial
world. Furthermore, Siemens is also a user
of cloud technology, now considered as a
strategic asset in our factories”.
In detail, what are the main advantages of
using the cloud?
“The possibility to store data remotely and
safely, first of all”, says Mr Gozzi. “Then,
taking advantage of a hosting platform
with computing capacity to handle virtually
unlimited volumes of transactions. Computing
infrastructure in place, in fact, is supposed
to be properly managed and protected, and
resources are needed to do so. In addition,
it has a limited capacity and it is not easy to
update. Thinking of SMEs, typical of the Italian
scenario, the use of a cloud platform to store
data can be a cost-effective solution indeed:
its commissioning and installation time, as
well as its costs, are much lower compared to
a system installed in place. And no expertise
investments are needed for its management”.
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