Increasing Visibility and Efficiency of Mining Operations

1. Dr. Giorgos Papapanagiotakis
Technology Director

2. Emphasis Telematics at a glance
business
intelligence
business
knowledge
business
information
field raw
data
Emphasis Telematics provides solutions for the performance analysis of business processes based
on sensor data. Since 1995, a team of engineering experts has been applying machine-to-
machine (M2M), Industrial Internet of Things (IIoT) and mobile technologies.
We build toward the future
We design, develop and deploy IIoT solutions for mining, industrial production and logistics,
addressing challenging requirements on all corporate levels: Executive, Middle management and
Operations
efficiency,
safety, quality
& cost on
business
processes

3. Comprehensive Solutions
to increase visibility and efficiency in mining operations
e-mining achieves visibility of the mining field using Internet of Things (IoT)
technology. Data is automatically collected from sensors mounted on mining assets,
including loaders and trucks, and filtered and aggregated on a business level to
improve operations efficiency and safety. Both strategic planning and daily
operations are addressed
to enhance vessel efficiency in waterborne transportation
e-vessel provides automated sensor based data monitoring and naval engineering
expertise to improve vessel energy efficiency and to reduce environmental impact
to preserve quality in the supply chain of pharmaceutical
products
e-meter enables environmental conditions monitoring and reaction support. Ensures
product quality, reduces product loss while improves maintenance efficiency.
Integration with

4. Global Presence
Emphasis Telematics provides global solutions in
mining, industrial production, logistics and maritime
transportation

5. A platform for automated and reliable analysis of mining operations for excavation, loading/unloading
and transportation that:
o Improves efficiency, safety, quality and cost effectiveness of operations
o Supports business process redesign
o Supports contract negotiations
e-mining Objectives

6. Business Model & Corporate IT
Infrastructure
• Contracts
• Cost model
• Operations schedule
Field Operations Sensor Data &
Mobile Transactions
Sensor data
• Asset localization
• Asset utilization
• Energy consumption
• Operator profile
e-mining Layout
Mobile data
• Work assignment
• Check-list
KPIs Evaluation
• Production volume versus asset
utilization
• Contractual vs actual cost
• Safety
Operations Support
• Daily schedules deviation
• Dashboard to manage operations and reduce
asset stop times
Notifications
• Wrong unloading location with product
quality impact
• Unsafe process conditions

7. e-mining System Architecture
Data Base
Applications Server
Field Operations Data
• Weighbridges
• Refueling Data
• AEM/AEMP
Telematics Standard
Data Bridges
Mobile Apps
for Business
Processes
• Web Client
• Satellite Maps
• Local Mining Operations
Maps
Real Time Data:
• Position / Speed /
Altitude / Stop (GPS)
• Engine Running
• Fuel Consumption
• Loaded / Unloaded
• Dumping
• Operator Identity
• OEM Data
Private or Public Cloud
3G/4G/GPRS
/ WLAN
Corporate Data

8. 0
2
4
6
8
10
12
14
16
Loader X32D Truck 3122 Truck 3411 Truck 2852
Timepercycle(sec)
Stop Time Monitor
Stop
Avg stop day
Avg stop activity
Dashboard to assist operations

9. 11.60
11.80
12.00
12.20
12.40
12.60
12.80
13.00
13.20
13.40
13.60
Truck 3122 Truck 3411 Truck 2852
Costper20tonnes(€)
Transportation activity cost
Min day
Avg day
Max day
Current
Reference
Dashboard to assist operations

10. 0
20
40
60
80
100
120
Mine 32 Mine 37 Mine 83
MineCostper100tonne(€)
Loading / Transportation mining front cost
Avg day
Reference
+2,9%
-0,8%
+2,5%
Dashboard to assist operations

11. e-mining Multilayered Information
Interconnected reports
allow to start at highly
aggregated business
information and go
gradually down
to fine-grained operations
information. Find easily the
right level of aggregation
allows for optimized
decisions

12. Safety Incidents Reporting to assist safety policy
deployment
Safety events
o Bed raised in motion
o Speed limit violation
o Overload
o Driver belt
o Tailgate incident
o Forbidden areas

13. Safety Incidents Reporting to assist safety policy
deployment

14. Real Time Data:
• Position / Speed / Altitude /
Stop (GPS)
• Engine Running
• Fuel Consumption
• Weight
• Dumping
• Operator Identity
• OEM DataLoad Weight Sensors
Fuel Flow Sensor Dumping Sensor
Operator Electronic
Identification.
Operator Shifts
Recorder
e-mining Installation on assets / loaders / trucks / dumpers

15. e-mining Business Cases
A Roadmap to Success
o Accurate calculation of KPIs for performance, cost, product quality and safety
o Comparison of contractual costs versus real subcontractor’s costs
o Product quantity and quality monitoring
o Product traceability
o Safety rule monitoring in real time, operator profile and safety metrics
o Business Process Redesign and Support (Electronic Work Order, Safety check-list, Resource Optimization)
IntelligenceKnowledgeInformationData

16. e-mining Business Cases
Perlite – Bentonite surface mining activity in Milos
Excavation / loading from 22 locations in 7 mining fields
Deposit in 52 locations
Plant for processing of row material
Outbound Transportation with bulk carrier vessels
Milos

17. Objectives
Monitor contract terms for the use of mining assets
o Dump trucks
o Loaders
Improve resolution of contract complaints
Automate contractor payment
Improve safety
e-mining deployed on September 2014
Milos
e-mining Business Cases

18. e-mining Business Cases
Milos

19. 60.000+ loading and transportation services investigated
Comparison of old manual recording to e-mining automated recording.
Error rate
e-mining 0,04%
manual 3,02%
e-mining Business Cases
Milos

20. Main Results
Automated field visibility
o Increase transportation services by min 5%
o Justify replacement of field equipment
Interconnection with SAP for payments under contract
Essentially zero contract complaints
e-mining Business Cases
Milos

21. • Protocols to ensure zero data loss over wireless networks
• Environmental specific hardware design and sensor redundancy
• Health monitoring - automated incident detection and reaction
• Technical support including
• Preventive maintenance
• Integration to asset maintenance processes
• Sensor data filtering
• Data aggregation to provide clean business information
Real time
sensor data
Business
information
Business
processes
R e l i a b i l i t y i s e s s e n t i a l
Deploying IIoT in mining
The technical challenges

22. HowTo
Go from doing “RIGHT” based on small
samples of data
To doing “LESSWRONG” as real world
information floods in
Share
benefits
Do not
underestim
ate cultural
issues
Assign
appropriate
resources
Deploying IIoT in mining
The non-technical challenges

23. How to support you defining a digital future
for your field operations
Study your initial requirements and organize
• Focused demo
• Site visit for considering insights of deployed e-mining solution
Study your business case
• Objectives
• Infrastructure
• Business Processes
• Stakeholders
• Users and business roles
Provide our proposal with stepwise implementation
• Pilot installation to finalize requirements
• Solution deployment

24. e-mining A powerful contract including equipment ,
software & services
o Electronic equipment for assets
o Web based platform (Private or Public Cloud)
o Consulting and adaptation engineering services
o Installation services
o After sales services including
• Maintenance contract (preventive, repairs)
• Self triggered maintenance field work

25. The Solution to Fine Tune your Business Processes on
Underground and Surface Mining Operations through
Accurate and Automated Monitoring of Field Transactions and Integrated Business
Process Management