Method for detecting an abnormal condition of a road surface by trending a resistance factor

• US 5,817,936 A
• Filed: 03/05/1997
• Issued: 10/06/1998
• Est. Priority Date: 03/15/1996
• Status: Expired due to Term

• Current Assignee: Caterpillar Incorporated
• Original Assignee: Caterpillar Incorporated
• Inventors: Schricker, David R.
• Primary Examiner(s): FELBER, JOSEPH LEON
• Application Number:
  US08/811,480
• Time in Patent Office: 580 Days
• Field of Search: 73/146, 73/105
• US Class Current: 73/146
• CPC Class Codes: B60G 17/0165 to an external condition, e.g. rough road surface, side wind
• CPC Class Codes: B60G 2300/026 Heavy duty trucks
• CPC Class Codes: B60G 2300/07 Off-road vehicles
• CPC Class Codes: B60G 2400/821 Uneven, rough road sensing affecting vehicle body vibration
• CPC Class Codes: B60G 2400/824 Travel path sensing; Track monitoring
• CPC Class Codes: B60G 2500/10 Damping action or damper
• CPC Class Codes: B60G 2500/20 Spring action or springs
• CPC Class Codes: B60G 2600/042 Monitoring means
• CPC Class Codes: B60G 2800/012 Rolling condition
• CPC Class Codes: B60G 2800/164 Heaving; Squatting
• CPC Class Codes: B60G 2800/70 Estimating or calculating vehicle parameters or state variables
• CPC Class Codes: G01N 33/42 Road-making materials G01N33/38 takes precedence

Abstract

A method for detects a change in the condition of a road traversed by a fleet of at least one mobile machine. The method includes the steps of sensing a plurality of machine parameters as the mobile machine traverses a segment of the road and responsively calculating a plurality of machine resistance factors each time the mobile machine traverses the segment. An average resistance factor is calculated as a function of the series of machine resistance factors and the fleet factor average is trended over time in order to detect a change in the road condition.

Claims

1. A method for detecting a change in the condition of a road traversed by a fleet of at least one mobile machine, comprising:

sensing a plurality of machine parameters as the at least one mobile machine traverses a segment of the road and responsively calculating a plurality of machine resistance factors each time the at least one mobile machine traverses said segment;

calculating an average resistance factor as a function of said plurality of machine resistance factors; and

,

trending said average resistance factor over time and responsively detecting a change in condition of the road.

2. A method, as set forth in claim 1, wherein the average resistance factor is normalized.

3. A method, as set forth in claim 2, wherein the normalized resistance factor is compared with a predetermined threshold and the change in the condition is detected if the resistance factor exceeds said predetermined threshold.

4. A method, as set forth in claims 1, wherein said machine resistance factors are rolling resistance factors.

5. A method, as set forth in claim 1, wherein said machine resistance factors are total resistance factors.

6. A method for detecting a change in condition of one segment of a route traversed by a fleet of at least one mobile machine, the route composed of the one segment and at least one other segment, comprising:

sensing a plurality of machine parameters as the at least one mobile machine traverses the one segment of the route and responsively calculating a first series of resistance factors;

calculating an average segment resistance factor as a function of said first series of resistance factors;

sensing said plurality of machine parameters as the at least one mobile machine traverses the one other segment of the route and responsively calculating a second series of resistance factors;

calculating an average route resistance factor as a function of the first and second series of resistance factors; and

,

trending the difference between said average segment resistance factor and said average route resistance factor over time and responsively detecting a change in condition of the one segment.

7. A method, as set forth in claim 6, wherein the difference between said average segment resistance factor and said average route resistance factor is compared with a predetermined threshold and the change in the condition is detected if the difference exceeds said predetermined threshold.

8. A method, as set forth in claim 6, wherein said first and second series of machine resistance factors are rolling resistance factors.

9. A method, as set forth in claim 6, wherein said first and second series of machine resistance factors are total resistance factors.

10. A method for detecting a change in the condition of a road traversed by a fleet of at least one mobile machine, comprising:

sensing a plurality of machine parameters as said one mobile machine traverses a segment of the road, determining the force applied to said one mobile machine by the road surface, and responsively calculating a plurality of machine resistance factors each time said one mobile machine traverses said segment;

calculating an average resistance factor as a function of said plurality of machine resistance factors; and

,

trending said average resistance factor over time and responsively detecting a change in condition of the road.

11. A method for detecting a change in condition of one segment of a route along a road traversed by a fleet of at least one mobile machine, the route composed of the one segment and at least one other segment, comprising:

sensing a plurality of machine parameters as said one mobile machine traverses the one segment of the route, determining the force applied to said one mobile machine by the road surface, and responsively calculating a first series of resistance factors;

calculating an average segment resistance factor as a function of said first series of resistance factors;

sensing said plurality of machine parameters as said one mobile machine traverses the one other segment of the route and responsively calculating a second series of resistance factors;

calculating an average route resistance factor as a function of the first and second series of resistance factors; and

,

trending the difference between said average segment resistance factor and said average route resistance factor over time and responsively detecting a change in condition of the one segment.