INDUSTRIAL IOT IN THE AI, BIG DATA & CLOUD COMPUTING ERA
The Industrial Internet of things(IIoT) is the network of physical devices, vehicles, appliances and other items embedded with software, sensors, and network connectivity to connect and exchange data in the industrial sector of the economy. Each “thing” is uniquely identifiable through its embedded computing system but is able to inter-operate within the existing Internet infrastructure.
The IIoT allows objects to be sensed or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention.
BUT THERE’S STILL LACK OF INTEROPERABILITY AND UNCLEAR VALUE PROPOSITIONS
This is because 1) they don’t know WHAT data they need to connect and control, 2) they don’t know HOW to connect and control them (we call these essential data at the edge-- SMALL DATA).
NOW, THE MILLION DOLLAR QUESTIONS WE HAVE TO ASK ARE
- What’s the point of Big Data Analytics & Cloud Computing if we don’t have the right data to analyze?
- Don’t we have to start from Small IoT Data at the Edge?
- How do we Connect, Acquire and Normalize, in other words, Contextualize IoT Data at the Edge?
UNLOCK THE VALUE OF YOUR INDUSTRIAL IOT DATA
SDPlex has already been collaborating with strategic partners (i.e. Cisco, Neon Bloom, and GE) to build Industry-specific Vertical Solutions
CONNECT THE LAST MILE IN IOT
Proven OT-oriented IoT Component with IT in Mind
Time- & Project-proven Suite of Tools and Protocol Modules
Simple and Easy SDK and Framework for Both Sides of the IoT Spectrum (OT & IT)
Full Service from Consulting, Implementation to Maintenance
Proven OT-oriented IoT Component with IT in Mind
Time- & Project-proven Suite of Tools and Protocol Modules
Simple and Easy SDK and Framework for Both Sides of the IoT Spectrum (OT & IT)
Full Service from Consulting, Implementation to Maintenance
INTRODUCING ONCUE SUITE
Extract Data
Extract Data from edge sources and makes it usable.
Compute Data
Compute Data to transform it, apply rules, and perform distributed micro-processing from edge to endpoint
SDPlex Verticals
Move Data
Move Data programmatically to the right applications
In Real Time
Connect, secure, and manage diverse devices in Real Time
Extract Data from edge sources and makes it usable.
Compute Data to transform it, apply rules, and perform distributed micro-processing from edge to endpoint
Move Data programmatically to the right applications
Connect, secure, and manage diverse devices in Real Time
ONCUE ARCHITECTURE
Key Features
Automatically provision via cloud application
Extract data from any source, any protocol, and normalize
Compute at edge and fog layers for action, efficiency
View, monitor, manage in real time
Key Features
Automatically provision via cloud application
Extract data from any source, any protocol, and normalize
Compute at edge and fog layers for action, efficiency
View, monitor, manage in real time
ONCUE-EMPOWERED VERTICAL SOLUTIONS
- Quantified, horizontal Visibility into the shop floor
- CTQ*-driven continuous production optimization
- Real-time fault detection and clearance
- Enterprise Energy Management
(No Quantifications, No Savings!) - Analyze & Optimize then Save (EOS)
- HCL (Human-centric Lighting)
- Quantified, crop lifecycle-driven optimal smart farms
- Off-grid, sustainable and mobile grow unit
CUSTOM SOLUTIONS
- Customized Solutions for clients w/ specific needs
- Optimize systems for maximum KPI performance
SDPLEX CLIENTS INCLUDE
SMALL DATA EXPERTS
OUR TEAM HAS YEARS OF OT AND IT ENGINEERING EXPERIENCE WORKING WITH GLOBAL HIGH-TECH MANUFACTURERS SUCH AS SAMSUNG, LG, POSCO, NONGSHIM AND MORE
SMALL DATA EXPERTS
OUR TEAM HAS YEARS OF OT AND IT ENGINEERING EXPERIENCE WORKING WITH GLOBAL HIGH-TECH MANUFACTURERS SUCH AS SAMSUNG, LG, POSCO, NONGSHIM AND MORE
Press
Contact Us
we'd love to hear from you
Headquarters
Address : 6th Floor, Dahyung Building, 83 Gil 21 Teheran-ro, Gangnam-gu, Seoul, Korea