RAILWAY TRACK GEOMETRY DEFECT MODELING FOR PREDICTING DETERIORATION, DERAILMENT RISK, AND OPTIMAL REPAIR

• US 20140200830A1
• Filed: 08/08/2013
• Published: 07/17/2014
• Est. Priority Date: 01/11/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bhattacharjya, Debarun, Hampapur, Arun, He, Qing, Li, Hongfei, Parikh, Dhaivat P.
• Granted Patent: US 9,764,746 B2
• Time in Patent Office: Days
• US Class Current: 702/34
• CPC Class Codes: B61K 9/08 Measuring installations for surveying permanent way applications of measuring apparatus or devices for track building purposes E01B35/00; measuring techniques G01
• CPC Class Codes: B61L 23/042 Track changes detection
• CPC Class Codes: B61L 23/044 Broken rails
• CPC Class Codes: B61L 23/045 Rail wear
• CPC Class Codes: B61L 23/047 Track or rail movements
• CPC Class Codes: B61L 27/53 for trackside elements or systems, e.g. trackside supervision of trackside control system conditions
• CPC Class Codes: B61L 27/60 Testing or simulation
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities

Abstract

Geo-defect repair modeling is provided. A method includes logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected. The spatial dimensions include line segments of a specified length and the temporal dimensions include inspection run data for inspections performed for each of the line segments over a period of time. The method also includes creating a track deterioration model from the historical data, identifying geo-defects occurring at each inspection run from the track deterioration model, calculating a track deterioration condition from the track deterioration model by analyzing quantified changes in the geo-defects measured at each inspection run, and calculating a derailment risk based on track conditions determined from the inspection run data and the track deterioration condition. The method further includes determining a repair decision for each of the geo-defects based on the derailment risk and costs associated with previous comparable repairs.

Claims

1. A method, comprising:

logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected for the railroad network, the spatial dimensions including line segments of a specified length and the temporal dimensions including inspection run data for inspections performed for each of the line segments over a specified period of time;

creating, via a computer processor, a track deterioration model from the historical data, current track conditions, and traffic data;

identifying geo-defects occurring at each inspection run from the track deterioration model;

calculating, via the computer processor, a track deterioration condition from the track deterioration model, the track deterioration condition calculated by analyzing quantified changes in the geo-defects measured at each inspection run;

calculating a derailment risk based on track conditions determined from the inspection run data and from the track deterioration condition; and

determining a repair decision for each of the geo-defects based on the derailment risk and historically determined costs associated with previous comparable repairs.

2. The method of claim 1, wherein the line segments are defined as connecting two cities, and the spatial dimensions further include at least one of track identifiers and mile post locations.

3. The method of claim 1, wherein the railroad network is further divided into non-overlapping lots each of a length shorter than a length of the line segments, the method further comprising:

aggregating the geo-defects by inspection run for each geo-defect type.

4. The method of claim 3, wherein geo-defect types include at least one of:

align;

cant;

dip;

gauge;

harmonic cross-level;

over-elevation;

reverse cross-level;

super cross-level elevation;

surf;

twist;

warp; and

wear.

5. The method of claim 1, wherein the analyzing the quantified changes in the geo-defects includes analyzing amplitude changes for each of the geo-defects at each inspection run, and wherein a 90 percentile of an amplitude is designated to represent a track condition for a corresponding inspection run.

6. The method of claim 1, further comprising:

predicting, from the quantified changes in the geo-defects, where at least one of the geo-defects is a Class II geo-defect, a probability of the at least one Class II geo-defect deteriorating into a Class I defect within a specified period of time, the Class I defect defined as one that is mandated to be repaired upon discovery.

7. The method of claim 1, wherein the railroad network is further divided into sections of two miles in length, and the calculating the derailment risk includes:

spatially aggregating the geo-defects at a section level;

temporally aggregating the geo-defects into each inspection level; and

creating a record from results of the spatially aggregating and the temporally aggregating.

8. The method of claim 1, wherein the determining a repair decision includes, for each of the geo-defects rated as Class II geo-defects:

determining which of the Class II geo-defects are likely to deteriorate into Class I geo-defects before a defined future point in time;

determining which of the Class II geo-defects are likely to result in a derailment before the defined future point in time; and

determining costs previously associated with repairing the Class II geo-defects.

9. A computer program product comprising a computer-readable storage medium having program code embodied thereon, which when executed by a computer processor, causes the computer processor to implement a method, the method comprising:

logically dividing a railroad network according to spatial and temporal dimensions with respect to historical data collected for the railroad network, the spatial dimensions including line segments of a specified length and the temporal dimensions including inspection run data for inspections performed for each of the line segments over a specified period of time;

creating track deterioration model from the historical data, current track conditions, and traffic data;

identifying geo-defects occurring at each inspection run from the track deterioration model;

calculating a track deterioration condition from the track deterioration model, the track deterioration condition calculated by analyzing quantified changes in the geo-defects measured at each inspection run;

calculating a derailment risk based on track conditions determined from the inspection run data and from the track deterioration condition; and

determining a repair decision for each of the geo-defects based on the derailment risk and historically determined costs associated with previous comparable repairs.

10. The computer program product of claim 9, wherein the line segments are defined as connecting two cities, and the spatial dimensions further include at least one of track identifiers and mile post locations.

11. The computer program product of claim 9, wherein the railroad network is further divided into non-overlapping lots each of a length shorter than a length of the line segments, the method further comprising:

aggregating the geo-defects by inspection run for each geo-defect type.

12. The computer program product of claim 11, wherein geo-defect types include at least one of:

align;

cant;

dip;

gauge;

harmonic cross-level;

over-elevation;

reverse cross-level;

super cross-level elevation;

surf;

twist;

warp; and

wear.

13. The computer program product of claim 9, wherein the analyzing the quantified changes in the geo-defects includes analyzing amplitude changes for each of the geo-defects at each inspection run, and wherein a 90 percentile of an amplitude is designated to represent a track condition for a corresponding inspection run.

14. The computer program product of claim 9, wherein the method further comprises:

predicting, from the quantified changes in the geo-defects, where at least one of the geo-defects is a Class II geo-defect, a probability of the at least one Class II geo-defect deteriorating into a Class I defect within a specified period of time, the Class I defect defined as one that is mandated to be repaired upon discovery.

15. The computer program product of claim 9, wherein the railroad network is further divided into sections of two miles in length, and the calculating the derailment risk includes:

spatially aggregating the geo-defects at a section level;

temporally aggregating the geo-defects into each inspection level; and

creating a record from results of the spatially aggregating and the temporally aggregating.

16. The computer program product of claim 9, wherein the determining a repair decision includes, for each of the geo-defects rated as Class II geo-defects:

determining which of the Class II geo-defects are likely to deteriorate into Class I geo-defects before a defined future point in time;

determining which of the Class II geo-defects are likely to result in a derailment before the defined future point in time; and

determining costs previously associated with repairing the Class II geo-defects.