DSQC346G ABB distributed control system industrial DCS module card

Numer modelu: DSQC346G

Manufacturer: ABB
Quantity:ten
Serial ports: 2
Network ports: 4
Port isolation: 220 VDC
Weight : 1 Kg
Shipping Weight : 2 Kg

Category:
Whatsapp:+86 15359293870
WeChat:+86 18106937731
                E-mail:geabbdcs@gmail.com
Contacts:kelly CHEN

Description

Manufacturer ABB
Brand ABB
Series module
Part Number DSQC346G
Product Type module
Quality 100% New Original
Stock In stock
Delivery time 1-3 days after Payment
After-sales Service Have
Warranty 1 year
Shipping term DHL / FEDEX/ EMS /UPS/TNT/EMS

 

Packaging details: if you need an urgent delivery order, please feel free to contact us, and we will do our best to meet your needs.

Price problem: if you find that other suppliers offer cheaper prices for the same product, we are also willing to provide you with reference prices and give you further discounts.

 

In the future, with more data becoming available
from an expanded base of installations, and
with the advancement of analytics technologies,
additional use cases will emerge that further
leverage the digital capabilities and the ecosystem
that ABB can provide.
The future of power transformers is digital
In the past, transformers were an asset that kept
running under stable conditions in a centralized
grid. The exact condition of the transformer,
especially that of its insulation and aging, were
not known but due to stable load conditions many
transformers had a long lifetime. Today, however,
grid conditions have become more stressful due
to the integration of volatile renewables and
distributed energy resources, and, for example,
the rise in the number of electric-vehicle charging
stations.
Additionally, asset owners feel pressure to ensure
competitiveness and effective allocation of capital
and operational expenditures. Therefore, better
insights are needed in order to ensure sound
decisions on transformer maintenance, repair or
new investment.
Further, those armed with the right data
interpretation can benefit from dynamic
optimization of the transformer loading and reduce
the need for site visits. They can make informed
decisions and trade-offs between overloading the
transformer for immediate financial gains versus
shortening transformer life.