The document discusses connected manufacturing using MQTT (Message Queueing Telemetry Transport). It notes that manufacturing facilities, from small to large to an entire sector, can generate terabytes or petabytes of data annually. Currently, manufacturing systems are fragmented and siloed. Connected manufacturing aims to connect all systems using data collection, transmission, and analytics. MQTT is presented as a lightweight protocol that can be used to connect machines, sensors, and systems on the factory floor via publish-subscribe messaging. Examples are given of how MQTT brokers can be used to connect machines and systems to share sensor and operational data in real-time.
1. CONNECTED
MANUFACTURING
WITH MQTT
Vatsal Shah | CEO & Founder, Litmus Automation
@ LAutomation
IOT at Scale | Oct 17, 2014 Palo Alto
2. A small manufacturing facility could generate 2
to 10 terabytes a year.
A large one 16 to 80 terabytes
An entire enterprise would need to handle 80
to 5,000 terabytes a year
Entire U.S. machining sector could
generate from 200 petabytes to 1
xylobabyte a year.
4. STAND - ALONE
Machine Focused Systems
CURRENT
SCENARIO 2
5. INFORMATION
PROCESS FLOW
Finance Operations
Marketing Sales
Raw
Material
Shop
Floor
Design &
Engg
Production
DECISION MAKING
UNITS
CURRENT
SCENARIO 3
17. THANK YOU
THINGS | BUSINESS | CONNECTED
@litmusautomation
@LAutomation
@Litmus Automation
litmusautomation.com
Hinweis der Redaktion
Massive Data – Connected Manufacturing is data-driven
Leading to redundant resources
Information Islands are created
No information integration – waterfall step-by-step process
Can be optimized if decision making units benefit from real-time production data, decisin makers get real-time feedback
Instead of hierarchical structures, service-orientated architectures become prevalent in industries to improve system flexibility and seamless transition of reconfiguration
Current process flow does not allow this:
Connectivity from the lowest end of the process chain, nearest the work piece or shop floor, to the highest design or process-planning tool. Additionally, the interoperability provided by iOt PROTOCOLS, enables a host of third-party solution providers to develop software and hardware to make the entire manufacturing enterprise more productive.
Part traceability primarily deals with what part was manufactured, along with when and where.
Process traceability builds and expands on this information to understand fully how the part was manufactured. With a process traceability system,
analytics are built to fully understand the manufacturing process execution and its impacts and apply this information in improving efficiencies