Innovative Intelligence for Industry 4.0
Adriano Engineering
System architecture
SQL Server
(Data Base)
Web Server
Application
Server
Process Data
REAL TIME KPIs & Metrics
AY%
FPY%
OEE%
CPK
PPM
Non Conformities
OTD
Efficiency
Maintenance
Rework
Safety
Training
Architectures
CentralizedDistributed Blockchain
Adriano Blockchain
Ecosystem
SQL Server
(Data Base)
Web Server
Application
Server
Process Data
REAL TIME KPIs & Metrics
AY%
FPY%
OEE%
CPK
PPM
Non Conformities
OTD
Efficiency
Maintenance
Rework
Safety
Training
SQL Server
(Data Base)
Web Server
Application
Server
Process Data
REAL TIME KPIs & Metrics
AY%
FPY%
OEE%
CPK
PPM
Non Conformities
OTD
Efficiency
Maintenance
Rework
Safety
Training
Traceability
Management platform
Quality Welding
Monitoring Online
OEE
calculation
Condition maintenance
Online
Data logging of:
• Current
• Voltage
• Vibration
• Temperature
• Pressure
Alarms by:
• Upper and lower limits
• Condition base equipment
• OEE
Controller FPGA
System 1
Sensors
Data acquisition
module
System 3
Local
network
Local
DB
Local
network
Sensors
Data acquisition
module
System 2
Local
network
Sensors
Centralice systems:
• All data is process in one
module
• Alarms are generated by the
central module
• Additional modules just
acquire data of the process
Disadvantages:
• Lost of information due to
poor connection of the
network
• Lower analytic capacities
Centralized Architecture of
monitoring and control systems
Controller FPGA
System 1
Sensors
Local
network
Local
DB
Independent systems:
• Advance analysis in all modules
or stations
• Specifics alarms in process by
control module
• Local data storage
Controller FPGA
System 2
Sensors
Local
network
Local
DB
Controller FPGA
System 3
Sensors
Local
network
Local
DB
Distributed Architecture
monitoring and control systems
Cooperative systems:
• Advance analysis in all modules
or stations
• Specifics alarms in process by
control module
• Local data storage
Controller FPGA
Carrier 1
Sensors
Local
network
Local
DB
Blockchain Module
Parallel computing:
Base in the blockchain concept:
when a system can not operate, other
station connects to the external
modules of the down system and
start to run the process remotely
Controller FPGA
Carrier 2
Sensors
Local
network
Local
DB
Blockchain Module
Blockchain Architecture of
monitoring and control systems
Contact information
Advanced Manufacturing Systems Leader
Yosef Zendejas
yosef.zendejas@adriano-e.com

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Adriano Engineering blockchain ecosystem

  • 2. Adriano Engineering System architecture SQL Server (Data Base) Web Server Application Server Process Data REAL TIME KPIs & Metrics AY% FPY% OEE% CPK PPM Non Conformities OTD Efficiency Maintenance Rework Safety Training
  • 5. SQL Server (Data Base) Web Server Application Server Process Data REAL TIME KPIs & Metrics AY% FPY% OEE% CPK PPM Non Conformities OTD Efficiency Maintenance Rework Safety Training SQL Server (Data Base) Web Server Application Server Process Data REAL TIME KPIs & Metrics AY% FPY% OEE% CPK PPM Non Conformities OTD Efficiency Maintenance Rework Safety Training Traceability Management platform
  • 7. Condition maintenance Online Data logging of: • Current • Voltage • Vibration • Temperature • Pressure Alarms by: • Upper and lower limits • Condition base equipment • OEE
  • 8. Controller FPGA System 1 Sensors Data acquisition module System 3 Local network Local DB Local network Sensors Data acquisition module System 2 Local network Sensors Centralice systems: • All data is process in one module • Alarms are generated by the central module • Additional modules just acquire data of the process Disadvantages: • Lost of information due to poor connection of the network • Lower analytic capacities Centralized Architecture of monitoring and control systems
  • 9. Controller FPGA System 1 Sensors Local network Local DB Independent systems: • Advance analysis in all modules or stations • Specifics alarms in process by control module • Local data storage Controller FPGA System 2 Sensors Local network Local DB Controller FPGA System 3 Sensors Local network Local DB Distributed Architecture monitoring and control systems
  • 10. Cooperative systems: • Advance analysis in all modules or stations • Specifics alarms in process by control module • Local data storage Controller FPGA Carrier 1 Sensors Local network Local DB Blockchain Module Parallel computing: Base in the blockchain concept: when a system can not operate, other station connects to the external modules of the down system and start to run the process remotely Controller FPGA Carrier 2 Sensors Local network Local DB Blockchain Module Blockchain Architecture of monitoring and control systems
  • 11. Contact information Advanced Manufacturing Systems Leader Yosef Zendejas yosef.zendejas@adriano-e.com