INTELLIGENT BRANDS // Cabling
POWERED BY
mPrest introduces cable fleet
application for smart power
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m
Prest, a mission-critical
monitoring, control and Big
Data analytics software leader for the
Internet of Energy market, has announced
the release of its Underground Residential
Distribution (URD) Cable Fleet Maintenance
Optimisation application, a new smart
power system for hard to access, sensor-less
URD cables that minimises asset failure and
decreases the frequency of power outages.
URD cable fleet maintenance is a daunting
and critical task – utilities maintain
thousands of miles of URD cables, most of
which were installed decades ago.
Moreover, since these cables are sensor-
less, utilities have limited visibility into their
health condition. Furthermore, in many cases
these cables may be buried directly in the
ground, with no ducts; thus, increasing their
replacement costs. Lack of insight into cable
survivability makes it difficult to prioritise
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maintenance and replacement activities,
predict impending failures and take proactive
steps to prevent those failures.
mPrest’s new AI-driven maintenance
optimisation application takes a statistical
approach and is based on troves of various
data related to the URD cables. Several key
influencers are analysed in order for mPrest
to create a smart, Big Data-driven plan for the
utility entity, such as cable vendor, location
and other cable characteristics, installation
date, soil type, humidity and more.
“The ability to predict the health of sensor-
less URD cables is revolutionising the energy
industry and bringing legacy utilities into
the digital era,” said Ron Halpern, Chief
Commercial Officer of mPrest. “Utilities can
now use actual hard data to create optimal
plans for power grids, predict asset failure,
monitor asset health and prevent power
outages before they occur – ultimately
saving themselves and their consumers’
money while vastly improving service.”
mPrest’s URD Cable Fleet Maintenance
Optimisation system extracts URD cable
segment data from platforms such as
enterprise asset management, work and
asset management, EAM and/or GIS. Using
a self-learning model, it discovers key factors
affecting the performance and survivability
of URD cables and predicts the probability of
cable segment failure.
mPrest enables utilities to use a proactive
cable health management system that will
reduce URD cables maintenance cost by
four to seven times as compared to reactive
asset health management. By utilising
mPrest’s proactive management ‘system of
systems’, utilities can decrease the financial
burden of URD cable failure, increase system
reliability and maintain brand reputation
and regulatory relationships. n
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