Embeddedadvisor
US
APAC
EUROPE
  • Home
  • Insights
  • Whitepaper
  • Conferences
  • Newsletter
  • Subscribe
  • News
  • About us
Go to...
  • Home
  • Insights
  • Whitepaper
  • Conferences
  • Newsletter
  • Subscribe
  • News
  • About us
  • Categories

  • IP Design
  • Telecom
  • Wearables and Sensor
  • Consumer Electronics
  • IoT
  • Industrial Computing
Go to...
  • Categories

  • IP Design
  • Telecom
  • Wearables/Sensor
  • Consumer Electronics
  • IoT
  • Industrial Computing
×
#

Embedded Advisor Weekly Brief

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Embedded Advisor

Subscribe

loading

THANK YOU FOR SUBSCRIBING

  • Home
  • News
Editor's Pick(1 - 4 of 8)
left
Industrial Data Analytics: An Edge to Cloud Strategy

Jay Allardyce, COO, GE [NYSE:GE]

Wireless Infrastructure for Industrial Applications

Bob Karschnia, VP of Wireless, Emerson Automation Solutions

Revolutionizing Industrial Mining through Smart Tools

Jeff Bauserman, VP-Information Systems & Technology, Alpha Natural Resources

Industrial Internet of Things and the Need for CIO Engagement

Don Barnetson, CTO and VP Product Planning, Lunera

The Future of Industrial Internet of Things is Software-Defined

Gareth Noyes, Chief Strategy Officer, SVP Strategy & Corporate Development, Wind River

Finding New Growth Opportunities through the Industrial Internet of Things

Paul Daugherty, CTO, Accenture

Revolutionizing Manufacturing Arena with IoT and the Industrial Internet

Brian Courtney, GM, AC Power System Product Line, GE Critical Power

The Impact of the Industrial Internet on Data Storage: Connected Machines & Devices + Analytics = New Opportunities, New System Demands

Dr. Richard Soley, Executive Director, Industrial Internet Consortium

right

Edge Computing for Better Industrial Performance

By Embedded Advisor | Thursday, November 29, 2018

Tweet

Edge Computing for Better Industrial PerformanceEdge computing provides right device data in near real-time. The data drives the organization to make better decisions and maybe even control industrial processes. The edge device, edge servers, its embedded software, and the cloud infrastructure, must work continually to provide said data. 

The Industrial Network Edge

Edge computing is extending to industrial devices, controllers, machines, and sensors. Due to increased digitization of industrial systems, analysis, decision-making, and control are rapidly being physically allocated among edge devices, edge servers, the cloud, the network, and connected systems. Edge computing supports IT/OT convergence by bridging both the areas of the architecture. Edge devices evolve beyond their conventional role of serving field data to upper-level networks and be a part of industrial internet architecture. Nowadays, IT organizations own more of this architecture and standards associated with the industrial internet consisting of both networks and clouds.

In edge computing, data is processed near the source, controllers, in sensors, machines, and gateways. The edge systems decide the placement and the amount of data being sent.  Edge computing is laying the groundwork for the future of smart connected devices and digital enterprises.

Utilizing edge computing will provide asset monitoring, real-time business decision support, data analytics, process control, and process alarming to the end users.  The computational capabilities from both edge and cloud computing are shifting into the gateways and edge devices for Industrial Internet of Things networks. If the industry wishes to change to ecosystems of smart connected machines and production systems, then the first step is to build a digital environment which connects plants and factories using intelligent devices that are smart enough to capture, aggregate and interpret data at the production method. 

Edge devices must be secure and reliable to use. End users will be bound to deploy edge computing because of operational, asset management, and reliability issues. For the machines and the equipment to continuously multiply, the cybersecurity issue must be addressed. Even though edge devices can connect factory ecosystems, products, and also manufacturing supply chain; the tools must be made secure and reliable.

Edge computing and smart manufacturing has infinite potential to improve business performance. Companies will be able to use the stranded data in machines to quickly identify inefficiencies.

Read Also

How do Embedded Systems Power Industrial Automation?

How do Embedded Systems Power Industrial...

Is an Embedded System a Power player in Industrial Operations?

Is an Embedded System a Power player in...

How Edge Computing Influences Modern Industrial Operations?

How Edge Computing Influences Modern Industrial...

5 Industrial Applications of Automation

5 Industrial Applications of Automation

Weekly Brief

loading

New Edition

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

Copyright © 2021 Embedded Advisor. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy.
follow on linkedin follow on twitter
This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

www.embeddedadvisor.com/news/edge-computing-for-better-industrial-performance-nid-252.html