Predictive Monitoring

Join the Janus IoT, digital industrial revolution
with predictive maintenance

Simple Solutions

Powerful Monitoring.

We assist clients in unlocking value
by digitizing the physical world.

Challenges that are facing
most industries today.

  • Ageing infrastructure, older legacy assets and
    the need to Integrate a diverse range of equipment.
  • Unplanned downtime and emergency maintenance
    caused by sudden failures together with ageing
    infrastructure is the major challenge for almost
    90% of companies.
  • For most manufacturers, downtime is the single
    largest source of lost production time.
  • Not all downtime is equal: in fact, the greatest
    expense is caused by unplanned downtime.

80

ico-porcento

of companies
do not know
the cost of a failure!
If so they are probably
taking the
wrong decisions.

How is maintenance done
today in most companies?

  • Reactive maintenance:
    Fix when broken.
  • Planned maintenance:
    Scheduled maintenance activities.
  • Proactive maintenance.
    Defect elimination to improve performance.
  • Predictive maintenance: Advanced analytics from data collected to predict machine performance and reliability
  • PdM is often the most efficient maintenance strategy available — a gold standard for which to aim.

A successful maintenance team
should be focused to predict and
prevent potential breakdowns

What are the results?

70%

of the companies lack
awareness of which assets
require maintenance and
how frequently ¹

¹ D1. Vanson Bourne, After the Fall:
Cost, Causes and Consequences
of unplanned downtime.

24%

of operators use a “predictive” 

approach based on data and 

analytics the rest took a reactive 

approach, according to an recent 

GE study.

Realties we cannot
avoid/ escape

  • Failures are inevitable, TIME is the greatest enemy
  • Small failures cannot be seen or heard by humans
  • Prevention is cheaper than recovery. You cannot manage and control what you cannot see or measure.
  • Dynamic systems cannot by nature be managed or controlled reactively.
  • 80% of the companies do not know the cost of a failure in their facilities.

What are my options?

  • Discover Janus IoT technology and transform maintenance processes with predictive maintenance analytics. The janus Platform is vendor neutral, agnostic to equipment we can monitor just about any equipment and protocol
  • Transform your maintenance processes with real-time intelligent analytics making predictive device maintenance a reality.

What are the benefits?

Predictive maintenance can be the key to unlocking higher levels of operational efficiency and optimizing the cost structure of maintenance processes. Transform maintenance processes with real-time intelligent analytics making predictive device maintenance a reality, processing the data with predictive algorithms provides many benefits. Predictive maintenance and asset management strategies are the keys to unlocking higher levels of operational efficiency and extending the life of assets. Predictive maintenance translates not only to a massive decrease in costs, higher productivity, increased competitive advantage but also the opportunity to exploit new business models. Predictive maintenance can be the success factor for customer retention and future growth

The Top 6 Benefits
of Predictive Maintenance

  • Using real-time data to predict and prevent breakdowns can reduce downtime by 50 per cent and maintenance costs - down by 50%
  • Reduce equipment downtime and unplanned shutdowns
  • Unexpected failures - reduced by 55%
  • Repair and overhaul time - down by 60%
  • Spare parts inventory - reduced by 30%
  • 30% increase in machinery mean time between failures (MTBF)
  • 30% increase in uptime
  • Prolong the life of your assets

A recent survey of manufacturers by the American Society for Quality found that companies using IoT technology reported an 82% higher efficiency, nearly 50% less products defects and a 45% boost in customer satisfaction.

These numbers may appear high, but even if you take only a fraction of these benefits, the financial impact of an effective PdM program at most plants can easily reach into millions of dollars. Embracing predictive maintenance can bring significant reductions in unplanned downtime can save millions of dollars.

The impact of Digital on unplanned Downtime
in the Oil & Gas industry

5.42%

_

Predictive

7.96%

.

Preventive

8.43%

.

Reactive

Unplanned downtime reduced 64% with Predictive Mangement.