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CONNECTED 
MANUFACTURING 
WITH MQTT 
Vatsal Shah | CEO & Founder, Litmus Automation 
@ LAutomation 
IOT at Scale | Oct 17, 2014 Palo Alto
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.
F.R.A.G.M.E.N.T.E.D 
V 
E 
R 
T 
I 
C 
A 
L 
S 
I 
L 
O 
S 
CURRENT 
SCENARIO 1
STAND - ALONE 
Machine Focused Systems 
CURRENT 
SCENARIO 2
INFORMATION 
PROCESS FLOW 
Finance Operations 
Marketing Sales 
Raw 
Material 
Shop 
Floor 
Design & 
Engg 
Production 
DECISION MAKING 
UNITS 
CURRENT 
SCENARIO 3
CONNECTED 
MANUFACTURING 
Data Collection 
Data Transmission 
Data Analytics
Operational 
Data 
Predictive 
Data 
Conditions 
Data 
DATA COLLECTION 
Process 
Parameters
Raw or Derived Data 
Wired or Wireless Medium 
Security and Privacy Concerns 
Protocols Standards 
DATA 
TRANSMISSION
Identify 
Hierarchies 
Compute 
Metrics 
Store 
Locally 
DATA 
PROCESSING 
Generate 
Events
Holistic Solution 
Speed Response Time 
Reduce Product Wastage 
Process-Tracking Not Part- tracking 
WHY CONNECTED 
MANUFACTURING?
MQTT 
Message Queueing Telemetry Transport 
MQTT 
Broker 
Publish Subscribe 
Simple, Asynchronous (“push”) delivery of messages through Pub/Sub Architecture
Light Weight & Simple 
Made for Unreliable Networks 
3 Quality of Service (QoS) Levels 
Last Will & Testament 
MQTT 
FEATURES
ANY REAL USE-CASES 
?
MQTT 
Broker 
Machine 1 
Machine 2 
Machine 3 
Weather 
Station 
ERP System 
Inventory Mgt 
System 
LED Boards 
SCADA 
HMI 
MongoDB 
Database 
WiFi 
Ethernet 
2G 
WiFi 
FACTORY FLOOR
MQTT 
Broker 
Machine 1 
Machine 2 
Modbus /RS485 
CPU 
Modbus /RS485 
Protocol 
Mapping 
CPU 
PubSub 
PubSub 
Protocol 
Mapping 
FACTORY FLOOR
QoS 1 
Machine 1 
Temperature Plant / Machine 1 / Temp_serial# 
QoS 2 
Counter Plant / Machine 1 / Counter_serial# 
QoS 2 
Counter Set Plant / Machine 1 / Counter_control_Serial# 
Stop Plant / Machine 1 / Stop_serial# 
Logs Plant / Machine 1 / Logs_serial# 
Consumption Plant / Machine 1 / Consumption_serial# 
Power Plant / Machine 1 / Power_serial# 
Sensor to Topic mapping (Existing Modbus) 
QoS 2 
QoS 0 
QoS 1 
QoS 1 
FACTORY FLOOR
THANK YOU 
THINGS | BUSINESS | CONNECTED 
@litmusautomation 
@LAutomation 
@Litmus Automation 
litmusautomation.com

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Connected Manufacturing with MQTT

  • 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.
  • 3. F.R.A.G.M.E.N.T.E.D V E R T I C A L S I L O S CURRENT SCENARIO 1
  • 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
  • 6. CONNECTED MANUFACTURING Data Collection Data Transmission Data Analytics
  • 7. Operational Data Predictive Data Conditions Data DATA COLLECTION Process Parameters
  • 8. Raw or Derived Data Wired or Wireless Medium Security and Privacy Concerns Protocols Standards DATA TRANSMISSION
  • 9. Identify Hierarchies Compute Metrics Store Locally DATA PROCESSING Generate Events
  • 10. Holistic Solution Speed Response Time Reduce Product Wastage Process-Tracking Not Part- tracking WHY CONNECTED MANUFACTURING?
  • 11. MQTT Message Queueing Telemetry Transport MQTT Broker Publish Subscribe Simple, Asynchronous (“push”) delivery of messages through Pub/Sub Architecture
  • 12. Light Weight & Simple Made for Unreliable Networks 3 Quality of Service (QoS) Levels Last Will & Testament MQTT FEATURES
  • 14. MQTT Broker Machine 1 Machine 2 Machine 3 Weather Station ERP System Inventory Mgt System LED Boards SCADA HMI MongoDB Database WiFi Ethernet 2G WiFi FACTORY FLOOR
  • 15. MQTT Broker Machine 1 Machine 2 Modbus /RS485 CPU Modbus /RS485 Protocol Mapping CPU PubSub PubSub Protocol Mapping FACTORY FLOOR
  • 16. QoS 1 Machine 1 Temperature Plant / Machine 1 / Temp_serial# QoS 2 Counter Plant / Machine 1 / Counter_serial# QoS 2 Counter Set Plant / Machine 1 / Counter_control_Serial# Stop Plant / Machine 1 / Stop_serial# Logs Plant / Machine 1 / Logs_serial# Consumption Plant / Machine 1 / Consumption_serial# Power Plant / Machine 1 / Power_serial# Sensor to Topic mapping (Existing Modbus) QoS 2 QoS 0 QoS 1 QoS 1 FACTORY FLOOR
  • 17. THANK YOU THINGS | BUSINESS | CONNECTED @litmusautomation @LAutomation @Litmus Automation litmusautomation.com

Hinweis der Redaktion

  1. Massive Data – Connected Manufacturing is data-driven
  2. Leading to redundant resources
  3. Information Islands are created
  4. 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.
  5. 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