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AS RAIL FLEETS AGES, MORE SPENDING ON MAINTENANCE PREDICTED 
BRAINBOX FOR RAILWAYS

runs efficiently - keep performing above top

due to lack of available data, existing reliability models and maintenance tools are based on assumed failure rate - Now Brainbox digitally enables your rail assets so that you can get sufficient visibility of the reality 

LOCO AND WILDLIFE COLLISION AVOIDANCE
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Railway tracks contribute to the onslaught on wildlife in more ways than the most direct one, which is, of course, having animals killed and maimed by trains. Every kind of animal — including elephant, tiger, lion, rhinos — have been mowed down by trains.

Brainbox™ Stormbreaker for detecting wildlife on railway tracks - integrated with vision and model based computational science

  • Thermal Vision Technology

  • Robotic Function to provide a clear sight angle for long distance visibility

  • Artificial Intelligence toolbox mounted on locomotives

  • Human Machine Interface for faster decisioning

  • Drastically reduce wildlife runovers

  • Reduced loco damages and derailments

  • Reduced hassles from wildlife protection groups

  • Intelligent decisioning saves from huge cost overheads

NEVER SEEN BEFORE

Building a proper relation between detection, tracking and classification is one of the major tasks. Detection and tracking are two closely related problems. Tracking is dependent on accurate detection of the objects to be tracked. Such objects can be anomalous or pre-learnt. 

Brainbox inference engine uses an adaptive model with a shorter memory span but can adapt to previously unseen changes.

  • High speed image analysis

  • Infrared Thermal Imaging device

  • Motors with motion control algorithms

  • The View Framework, which allows to distribute and display

  • ImageSource with distance

  • PositionSource with distance

  • TrackSource with current speed and time to stop

  • Human Machine Interface for Actioning

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THREAT
NORMALIZED
PRESCRIPTIVE MAINTENANCE OF TRACTION / INDUCTION MOTOR

Brainbox provides a correct diagnosis based on the motors operational and loading conditions and help maintenance units to remove and repair the rolling stock only when its needed, thus ensuring

  • High asset availability

  • Reduced maintenance cost/overhead

  • Efficient use of energy, thus optimizing resources

  • Maintenance prioritization

  • And High uptime

Brainbox AI does Spectral analysis to  resolve all motor related problems once for all

  • Damage to motor bars

  • Excessive power Consumption

  • Excessive drag

  • Static eccentricity and Dynamic eccentricity

  • Damage to bearing or bars (core)

  • Misalignment / Imbalance

  • Loose foundation

  • Problem with running machine

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Sensory Network

Signatures

Data Acquisition

Onboard HMI

Human Machine Trust

(with expansion slots for autonomous controls)

Service information with real-time alerts

Traction Motors

This is non-intrusive coupled with most advanced method of electrical signature analysis.