FORENSIXX

Predictive Maintenance solution pairing IoT and Machine Learning. Better than the sixth sense.

In industries relying on equipment, the operations environment is fast becoming an arena. While companies struggle to keep pace with runaway technological advances, the growing market demands strain their budgets further.

Then there is all the big data that companies gather via IoT.  They know it is important, they can see it grow in volume and level of detail, but they cannot readily use it as is, to optimize maintenance and control costs. Raw data remains a challenge.

Our Forensixx solution not only lets companies gather data and apply it in operation, but also helps them use data wisely, by combining IoT with Machine Learning. This pairing allows them to predict future failures, schedule maintenance operations better, predict budgets more accurately or even begin a new business, based solely on forecasting the state of equipment reliably.

FORENSIXX FOR PREDICTIVE DEVICE MANAGEMENT

Optimize maintenance costs:

  • Use gathered data to optimize repairs (wizards)
  • Be able to fulfil SLA terms better

Optimize operational costs:

  • Sufficient supply of devices as needed
  • Maintenance performed based on priority
  • Maintenance wizards for: receiving, repair process and sending

Utilize data for predictive maintenance:

  • Foresee imminent failures
  • Predict maintenance schedule
  • Plan maintenance budget

FORENSIXX FOR WINDMILL TURBINE MAINTENANCE

Optimize maintenance costs:

  • Travel to pertinent location only based on event alerts
  • Check only wind turbines which have been affected

Optimize operational costs:

  • Stop and check at-risk wind turbines only
  • Perform maintenance based on priority

Utilize data for predictive maintenance:

  • Foresee imminent failures
  • Predict maintenance schedule
  • Plan maintenance budget

FORENSIXX FOR SMART BATTERY MANAGEMENT

Optimize maintenance costs:

  • Prolong battery lifespan
  • Smart usage & maintenance

Optimize operational costs:

  • Sufficient supply of batteries as needed
  • Maintenance done based on battery state

Utilize data for predictive maintenance:

  • Predict the most likely failures
  • Create usage plans (cycling & location)
  • Predict maintenance budget

Our approach to ramping up productivity and cost-savings

ASSESMENTS & ANALYSIS


Evaluate:
- The company’s strategy
- Growth goals
- Existing IoT capabilities and limitations
- Competitive landscape

To unlock high potential areas in which IoT can add the most value.

Deliverable:
- Opportunity Areas

SCENARIOS


Study:
- How the IoT can be applied to the opportunity areas
- How the IoT can be used to make the plant operations smarter

Deliverable:
- Solution Portfolio

PROTOTYPING


Iteratively prototype a proof-of-concept to:
- Validate the feasibility and impact of the selected scenario
- The remaining scenarios continue to be evolved, as part of the future vision

Deliverable:
- Working PoC
- Improved Solutions Portfolio

ROADMAP


Develop a future-state vision to:
- Show how IoT can shape and impact the plants’ operation
- Define iterative scenario for achieving the goals set

Deliverable:
- Vision
- Implementation roadmap