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Big Data, Mobile Apps, & the Internet of Things (IoT):

Practical Applications for Safety and Productivity

1www.misom.com

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Data Mining

of Mining Data

Production Optimization

Sustainable Development

MINA: Cloud Data Lab

Education

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Licenses (supported products) & new employees

new employees

ResearchConsulting Supported industrial DW

IoT & Mobile+

Big Data analytic tools

+

4

DWData Warehousing

/ Big Data

Integration

BI/OI

Deriving Data

as an asset

CSConsulting

Services

Technology Strategy

Technology Support

FARAField Analysis &

Reporting Application

IoT

Mobile App

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Big Data

a broad term for data sets so

large or complex that traditional

data processing applications are

inadequate.

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Big data?... More like Large Data

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What has changed?

Unstructured Data:Mobile & Web-based Technology

7

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Big Data Analytics

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Data Preparation

Processing

Interpretation / reformulation

Deployment / Reengineering

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DW

“Large Data”

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Big Data Advanced Analytics

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Data Preparation Deployment / Reengineering

+ +

Fundamental Value

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Elements of Game Addiction

Frequent Achievements &

Micro-awards w Feedback

Social

Affirmation &

Interaction

Ease of

Collection &

Interaction

Access

Ubiquity

Clean & Simple:

Progress, Badges,

Leaderboards /

Scoreboards

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Scorecards

SocializationAnalytics

Addictive improved

safety & productivity

Skip?

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Large metallurgical coal mineBritish Columbia, Canada:

Using Mobile Apps for Productivity & Safety Optimization

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39Different forms

150+ pieces of paper/day

3.5 Data Entry Clerks

6Data Entry Hours

8Different forms

0 pieces of paper/day

0Data Entry Clerks

0Data Entry Hours

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Interactions Quality & QuantitySafe Work Observations (SWO)

Incident Rate

Avg. Incident Rate Reduction

2010-2011 6.59

31%2012-2014 4.53

SWO Rate

Avg Quarterly Observations % Increase

2012 4060 baseline

2013 5500 35%

2014 6045 49%

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Pull Change Management:

Reports & Dashboards In The Field

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MIS

OM

CS

iPad

App

Dashboards & alerts: immediate

corrective action

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Social Reinforcement

Detect

Underperformance Require Completion

of Checklist Completion Compliance

rate appears on

Supervisor’s scorecard

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PRODUCTIVITY IMPROVEMENT

BCM2.01 M 2.36 M

+17%

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Reality Check:

Machine Tracking… not Everyone Can Afford Current-Gen Technology…

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Current tracking tech

expensive & complicated

only largest mines.

95% of mines & quarries

< 200 workers

0 to 19 20 to 39 40 to 59 60 to 79 80 to 99 100 to 199 200 +

Stone 1,154 961 214 78 57 95 35

SandAndGravel 1,466 438 48 12 3 - -

Nonmetal 234 145 75 40 25 14 34

Metal 34 32 12 7 7 18 70

Coal 398 290 131 46 36 58 115

Nu

mb

er o

f O

per

atio

ns

Number of Workers according to MSHA (2014)

Existing

market for

tracking

tech

Potential Market,

US mines only

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Industrial Dynamic Worksites

Civil

Construction

Ore & Rock

(fixed) Plants

LoggingMining &

Quarrying

Drill site

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VS

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… … …

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Who makes the best computers?

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New Innovations

Learning

40

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Wearable

clothing and accessories

incorporating computer and

advanced electronic

technologies

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Nearables

Items with small, wireless

computing devices at equipped

with a variety of sensors and

transmitters to broadcast digital

data, usually using Bluetooth

Smart protocol

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Indoor Positioning

Imagine the possibilities…

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Qualcomm Gimbal Series 10

Series 20

BLE Built into all iOS tablets.Broadcasts as a beacon.Senses BLE Broadcasts.

Transmits datathrough Broadcast.

BLE Beacons50-100 m rangeBOM $2.50-$9

Battery: 60-300+ daysProgrammable messages

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Bluetooth Low Energy Beacons

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BLE Proximity:

BLE Positioning:

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Aggregate PlantArizona, USA, 2015

Small Coal MineWyoming, USA, 2015

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Current

Connectivity is key

FMS must remain on machine

Only Vendor Algorithm

Paper

Commissioning a system – 9 months

Reality

Communications will never be perfect

Machines & People can be tracked (take the tablet) - contractors

Creativity is key: create & IMPLEMENT your own

Digital entry & feedback possible

1-2 days to set-up & train

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Light Fleet Management (Quarry)

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Light Fleet Management (Coal)

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Small mines are new to FMS

Learning

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Continuous Cycle Time Monitoring

Vehicle Alarms &

Position is not enough…

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Ore pass

Cut & fill production heading (disposable temp tags)

Enter zone = ‘Loading’ Temp tags

Lasts 2 weeks

$5/tag

Exit loading zone = ‘Haul full’

Permanent tags

Lasts 18 months

$30/tagEnters Orepass tag zone = “Dumping”

Exit ore-pass zone = ‘haul empty’

(permanent tag)

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Operators are unfamiliar with interacting with tech

… at small mines & quarries

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Quarries & Industrial minerals

Optimal is different…

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Large Scale Mining

• Productivity

Small Scale Mining / Quarrying

• Blend going into Kiln (cement)

• Inventory stockpiles (aggregates)

• Engine hours (machine charge-backs)

• Simplicity discipline (essentialism)

• Contractor… no optimal, cost is irrelevant & visibility detrimental

User- programmable / configurable platform

vs.

proprietary optimization algorithm

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Aesthetics Matter

Learning

70

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Basic Reports (emailed PDF)

Real-time OLAP browsing in Excel

Bootstrap-responsive tablet to control room visualizations

=

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Adaptive design: same dashboard,

different platforms…

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Process:Plant & Machine Health Data

New technologies

10% the cost of traditional historian deployments

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SCADA OPC Historian

Complexity

Set-up & use

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Downtime from measuring Weight on Belt:

delay event

Event Start Event end Delay code

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OPC

Historian

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Downtime from measuring Weight on Belt:

delay event

Event Start Event end Delay code

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Conclusions

97

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Monumental Shift in Data-

Driven technology.

Information delivery & addiction

has been unlocked.

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What’s different now?

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Major

DemographicShift

New generation

expects tracking, data,

& engagement

New

TechnologyShift

Tracking & data

ubiquity

We need

ValueFrom technology

Investments should

have a return

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Mobile =

Tracking

&

Information

&

Engagement /

Feedback

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Tracking & information

ubiquity in our personal

lives…

…why not in our mines?

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What we need:

Educational & cultural readiness for Analytics.

More mobile & internet of things

Low-Risk experimentation

…we are part of the data rich world…

…the incoming generation of employees expect it.

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?