HIGH PROFILE
software package or another screen to look at.
We charge licence fees per asset monitored by
our solutions.
Asset Health Analyzer™ fleet overview screen
the oil pressure is outside the range under the
current equipment operating conditions. The AI
works in a similar way with other sensor values
but this simple example illustrates the
multivariate relationship well.
find early indicators of failure modes progressing
well before the OEM alarms kicked in.
Q Where do you go from here? How do you stand
out in the maintenance analytics market in mining?
A What we have right now makes it really easy
for mines to get up and running quickly with
accurate insights for better maintenance
decisions. We’re moving towards making those
predictions more prescriptive. Our approach to
the AI is different from what anyone else is
doing, and we have been told that this approach
will be the key to getting to full automation of
maintenance programs and orchestrating
interaction between maintenance and
operations. Our analytics enable a cross-fleet
look in real time, allowing you to see the health
of different equipment units relative to one
another. This lets you make decisions on what
units need attention and which don’t, moving
away from an interval-based maintenance
management approach. One of our indicators is a
gauge showing how healthy the equipment unit
Q What progress in project terms have you made
to date?
A Since setting up the company in 2018 we did a
number of proof of concepts in 2019 leading to
some more thorough studies in late 2019 to the
current situation in 2020 where we have a
market-ready product. We worked with
technology solutions company iVolve, who were
collecting Cat Data Link data off of Cat D9, D10
and D11 dozers operating in a US mine. This
involved three months of data and it was a good
dataset for us as there were a number of
anomalies and equipment issues over that short
period of time. Using the data we were able to
Rithmik's analytics enable a cross fleet look, allowing you to see the health
of different equipment units relative to one another
Q How do you work with partners and customers
and how does Rithmik extract value?
A We work with data
collection and fleet
management partners
like iVolve and also
others. The idea is that
we are doing the
analytics on the data
collected by these
partners, delivering
the results and
insights to the existing
visualisation, alarm
management and
software reporting
tools that the mines
are using. Many mines
do not desire another
The system also gives an opportunity for
maintenance personnel to get additional
diagnostics before heading into repair jobs
is together with an alarm but one which is
tailored to only activate if there is an issue –
without false positives. The following is a good
summary of the breadth of insights that our
software can enable:
n Condition-based and predictive maintenance
planning and scheduling
n Equipment end-of-life planning
n Monitoring efficiency and environmental impact
n Root cause analysis and equipment health
investigation for reliability engineers
n The opportunity for maintenance personnel to
get additional diagnostics before heading into
repair jobs
n Measuring and monitoring consumable wear. IM
SEPTEMBER 2020 | International Mining 95