Data improvement system and method
First Claim
Patent Images
1. A data improvement system, comprising:
- an initial database comprising a plurality of data fields representing initial data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof;
a verification database comprising a plurality of data fields representing subsequent data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof; and
a processing device in communication with the initial database and the verification database and configured to;
receive at least one data field from the initial database and at least one data field from the verification database; and
determine verification data based upon the at least one data field from the initial database and the at least one data field from the verification database, wherein the verification data includes at least one of the following;
error data, correction data, flagged data, corrected track data, corrected train data, or any combination thereof,wherein at least one of the initial database, the verification database, and the processing device is configured to receive source data,wherein the initial data includes initial track centerline data for a specified position on a track or segment of track, and the subsequent data includes subsequent track centerline data for the specified position on the track as derived from the source data, the processing device further configured to determine verification data in the form of improved track centerline data based at least partially upon the initial track centerline data and the subsequent track centerline data, andwherein the initial track centerline data defines a centerline of the track, and wherein the subsequent track centerline data defines another centerline of the track.
1 Assignment
0 Petitions
Accused Products
Abstract
A data improvement system, including an initial database, a verification database, and a processing device in communication with the initial database and the verification database. The processing device receives data from the initial database and the verification database, and determines verification data based thereon. A track data improvement system and a track database improvement system are also disclosed.
-
Citations
33 Claims
-
1. A data improvement system, comprising:
-
an initial database comprising a plurality of data fields representing initial data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof;a verification database comprising a plurality of data fields representing subsequent data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof; anda processing device in communication with the initial database and the verification database and configured to; receive at least one data field from the initial database and at least one data field from the verification database; and determine verification data based upon the at least one data field from the initial database and the at least one data field from the verification database, wherein the verification data includes at least one of the following;
error data, correction data, flagged data, corrected track data, corrected train data, or any combination thereof,wherein at least one of the initial database, the verification database, and the processing device is configured to receive source data, wherein the initial data includes initial track centerline data for a specified position on a track or segment of track, and the subsequent data includes subsequent track centerline data for the specified position on the track as derived from the source data, the processing device further configured to determine verification data in the form of improved track centerline data based at least partially upon the initial track centerline data and the subsequent track centerline data, and wherein the initial track centerline data defines a centerline of the track, and wherein the subsequent track centerline data defines another centerline of the track. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
-
-
31. A data improvement system, comprising:
-
an initial database comprising a plurality of data fields representing initial data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof;a verification database comprising a plurality of data fields representing subsequent data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof; anda processing device in communication with the initial database and the verification database and configured to; receive at least one data field from the initial database and at least one data field from the verification database; and determine verification data based upon the at least one data field from the initial database and the at least one data field from the verification database, wherein the verification data includes at least one of the following;
error data, correction data, flagged data, corrected track data, corrected train data, or any combination thereof,wherein the initial data comprises initial heading data, and the subsequent data comprises measured heading data, and wherein the processing device determines the verification data by; comparing the initial heading data and the measured heading data; and determining heading error data based at least in part upon the comparison, and wherein the initial heading data defines a heading of a track, and wherein the measured heading data defines another heading of the track.
-
-
32. A data improvement system, comprising:
-
an initial database comprising a plurality of data fields representing initial data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof;a verification database comprising a plurality of data fields representing subsequent data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof; anda processing device in communication with the initial database and the verification database and configured to; receive at least one data field from the initial database and at least one data field from the verification database; and determine verification data based upon the at least one data field from the initial database and the at least one data field from the verification database, wherein the verification data includes at least one of the following;
error data, correction data, flagged data, corrected track data, corrected train data, or any combination thereof,wherein the initial data includes prediction data and the subsequent data includes actual measured data, the processing device further configured to determine error data based upon a comparison of the prediction data and the actual measured data, wherein the determined error data is translated into expected performance data correlated for a specified portion of the track, and wherein the processing device is further configured to; compare the prediction data with the actual measured data for a plurality of trains at the specified portion of the track, thereby compiling expected performance data for the plurality of trains; establish an expected error margin value based upon the compiled expected performance data for the plurality of trains at the specified portion of the track; and log the identity of any train or locomotive where difference between the prediction data and the actual measured data exceeds the expected error margin value.
-
-
33. A data improvement system, comprising:
-
an initial database comprising a plurality of data fields representing initial data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof;a verification database comprising a plurality of data fields representing subsequent data, which includes at least one of the following;
track data, identification data, location data, position data, heading data, curvature data, type data, grade data, coordinate data, cross track error data, centerline data, initial modeling data, positioning system data, geographic information system data, time data, log data, prediction data, feature data, train data, collected data, dynamic data, batch data, or any combination thereof; anda processing device in communication with the initial database and the verification database and configured to; receive at least one data field from the initial database and at least one data field from the verification database; and determine verification data based upon the at least one data field from the initial database and the at least one data field from the verification database, wherein the verification data includes at least one of the following;
error data, correction data, flagged data, corrected track data, corrected train data, or any combination thereof,wherein the initial data includes prediction data and the subsequent data includes actual measured data, the processing device further configured to determine error data based upon a comparison of the prediction data and the actual measured data, wherein the determined error data is translated into expected performance data correlated for a specified portion of the track, and wherein the processing device is further configured to; compare the prediction data with the actual measured data for a plurality of trains at the specified portion of the track, thereby compiling expected performance data for the plurality of trains; establish an expected error margin value based upon the compiled expected performance data for the plurality of trains at the specified portion of the track; determine an acceptable error margin value associated with the expected error margin value; and log the identity of any train where difference between the prediction data and the actual measured data exceeds the acceptable error margin value.
-
Specification