arrowhead task 1.6: case: mining industry condition monitoring
DESCRIPTION
Arrowhead Task 1.6: Case: Mining industry condition monitoring. Mika Karaila , D.Sc . (Tech .). Research Manager. [email protected], +358 40 761 2563. WP 1.6 Participants (FINLAND). Metso Automation ( t ask leader) Mika Karaila , Yiqing Liang Outokumpu - PowerPoint PPT PresentationTRANSCRIPT
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Arrowhead Task 1.6: Case: Mining industry condition monitoring
Mika Karaila, D.Sc. (Tech.)Research [email protected], +358 40 761 2563
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WP 1.6 Participants (FINLAND)- Metso Automation (task leader)
Mika Karaila, Yiqing Liang- Outokumpu
Petri Vuolukka, Pasi Lassuri- VTT Technical Research Centre of Finland
Erkki Jantunen, Ventä Olli, Määttä Kalle - Wapice Ltd.
Laurentiu Barna, Veli-Pekka Salo, Pasi Tuominen- Tampere University of Technology
David Hästbacka, Seppo Kuikka- University of Oulu
Esko Juuso, Antti Koistinen, Jouni Laurila
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OutokumpuMultiple challenges in mining:
Optimal and correct system operationo Reduced riskso Remote control
Large number of devices from different vendorso Cost-effective on-time maintenanceo Maintenance strategyo Condition monitoring of devices and equipment
ERP integration
Kemi Mine
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STAVANGER
Information Services for Condition Monitoring and Maintenance
Data Aggregation and Unified Access Information Model and Interoperability Events and Notifications OPC UA Client/Server Architecture
WAPICE REMOTE MANAGEMENT (WRM)
OPC UA Servers / Clients Generic Data Model & Databases Terminal Communication REST API VPN, Security Gateway
WRM TERMINAL (WRM247+)
Data Acquisition Device Control Accelerometer, GPS RS-232, RS-485, USB Digital I/O, Analog Output 1-Wire, CAN Ethernet, GPRS, 3G
WRM Desktop
User Interface (web based)
WP 1.6 Demonstration
Automation System Metso DNA
Beckhoff OPC UA Server
Beaglebone Black OPC UA Server
OPC UA (alarms & events)Generic Information Model
process and control data(e.g. from/to the Kemi mine)
OPC UA process and control data(e.g. from/to the Kemi mine)
OPC UA process and control data(e.g. from/to the Kemi mine)
TAMPERE
KEMI
ESPOO
OULU
VTT Node (Acceleration Sensor) Acceleration Data MIMOSA
condition monitoring data(from the Kemi mine)VAASA
Enterprise Applications and Mobile Clients
Condition monitoring Condition and stress indexes Vibration analysis
condition monitoringdata (from the Kemi mine)
Grinding mill (Kemi) Wear part monitoring Hoisting rope damage Fine concentrate machine vision
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Demo session: Metso
BeagleBone Black:OPC UA server
Node-red:Sensortag
OPC UA client
Raspberry PI:Camera
Node-red:Cloud storage
Windows:OPC UA client
Cloud:Big Data
Beckhoff PLC:OPC UA server
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Demo session: WapiceWapice Remote Management (WRM) System, OPC UA
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Demo session: Tampere University of Technology
OPC UA based aggregation of heterogeneous device data for maintenance information systems
Dynamic system structure enables scalability to data gathering and propagation of event notifications from a multitude of devices
OPC UA information modeling for declaring data relations and semantics as well as views for different purposes
Consolidating information model e.g. for device, segment or site level services (i.e. Arrowhead framework)
Adaptation of legacy system structures for improved interoperability
Built-in support for information security for a multi-vendor environment
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Demo session: VTT Technical Research Centre of Finland
CMMS:Registry
Work management
VTT Little Node:Vibration acceleration
dataWear plate monitoring
Windows:Mimosa
Cloud:Big Data
Maintenance centre:
Wear plate diagnosis
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Preliminary results from the first test
NaturalFrequencyOF_AveragedFTT
0.68
0.70
0.72
0.74
0.76
0.78
0.80
0.82
0.84
0.86
0.88
0.90
0.92
0.94
0.96
0.98
1.00
1.02
1.04
1.06
1.08
kH z
0.0 0.5 1.0 1.5 2.0 2.5
10^3
Change of natural frequency (1050 -> 710 Hz) of a wear plate during a 2 month period 19.4–24.5.2014
Demo session: VTT Technical Research Centre of Finland
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• Wireless data acquisition system using BT-LE sensor nodes, smartphones and gateway units.
• Intelligent distribution of data pre-processing in node, in phone and in gateway-nodes to optimize energy, bandwidth and capacity usage
• Use case/next steps: Implementation of distributed data analyzing system for wear plate analysis utilizing distributed WSN architecture
Distributed analysis in WSN Smartphone data analysis
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Demo session: University of Oulu, Overview• On-site data processing• FFTDerivationIFFTNorms and describing indices
Finding the degreesMatlab demonstrationLocation and setup
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