Bnsf Railway Company

Christopher Neil Pickard

Michael James Brick

Samuel Minton

Phillip Hunt

Kyle Keilty Williams

Justin Lee Devine

Gregory Harrison

Benjamin Klein

James Helm

Francis Showry Polisetty

Michael L Schram

A system and method for strategic track and maintenance planning (STAMP) that can provide an organizational and adaptive infrastructure configured to facilitate railroad asset management and capital planning is presented. The system can provide a railroad asset inspector with relevant data for an assigned inspection segment. Location-based functionality can acquire a device's precise location and provide only the data necessary for the inspection of a particular railroad asset by providing step-by-step input prompting based upon the device location. The system provides adaptive thresholding of asset-related criteria to determine whether and when asset maintenance should occur. The system can acquire inspection data for one or more railroad assets, apply a data optimization algorithm to the inspection data, analyze railroad asset-related data (including historical data), and generate an optimized capital plan with a schedule for railroad asset maintenance and replacement.

System and method for strategic track and maintenance planning inspection

A Railroad Tie Management System is disclosed that can provide an efficient and organized method of inspecting and auditing ties in a rail system. Tie mark files can be retrieved by a client from a server or database in operable communication with the client, and upon instantiation of an inspection process governed by the system, an inspection information table and tie grid can be generated. The tie grid can operable to receive commands from a user, and the inspection information table is operable to automatically increment and decrement fields contained within in response to changes within the tie grid. The tie grid can also be configured to incorporate data from tie scans and serve the data to the client in a useful and user-friendly manner.

System and method for railroad tie management

A system for railroad directive management is presented. The system can receive a myriad of data related to a directive, track segments, and/or vehicle events on the track and/or track segments. Vehicle- and/or event-specific data can be compared with one or more thresholds, including force thresholds, temporal thresholds, environmental thresholds, and/or event thresholds to determine whether and what kind of directive modification should be instantiated. Specialized algorithms can be implemented to trace vehicle paths along the track to determine whether directive-related segments are traversed, and specialized clustering algorithms can be utilized to cluster data unique to a particular segment on a per-segment basis. The system can be integrated with existing track infrastructure and can further generate alerts to notify coupled systems and/or personnel of directives and/or modification thereof.

System and method for railroad directive management

A system for modeling risk of rail buckling in railroad infrastructure is presented. The system can receive a myriad of data related to railroad tracks and/or railroad operations, and weight the data using specially-designed weighting factors that can be unique to each data type. The weighted data can be transformed via specialized algorithms to generate location scores reflective of a risk isolated to a particular area. The system can further utilize additional specialized algorithms to elucidate how such isolated risk can be extrapolated from one location to another. The system can implement a multilayer approach, formulating one or more layers of risk models and aggregating such models into an overarching risk model that can more-accurately forecast risk of rail buckling in a railroad track.

System and method for continuous welded rail risk modeling

Growing community of inventors

Argyle, TX, United States of America

Christopher Neil Pickard