Method for determining the resistance factor of an earthmoving machine to detect an abnormal condition

• US 5,787,378 A
• Filed: 03/15/1996
• Issued: 07/28/1998
• Est. Priority Date: 03/15/1996
• Status: Expired due to Fees

• Current Assignee: Caterpillar Incorporated
• Original Assignee: Caterpillar Incorporated
• Inventors: Schricker, David R.
• Primary Examiner(s): NGUYEN, TAN QUANG
• Application Number:
  US08/617,525
• Time in Patent Office: 865 Days
• Field of Search: 364/424.07, 364/424.034, 364/424.04, 364/424.082, 364/551.01, 364/567, 364/424.083, 340/425.5, 340/438, 340/442, 340/679, 701/50, 701/29, 701/35, 701/53, 701/54
• US Class Current: 701/50
• CPC Class Codes: B60W 2530/16 Driving resistance
• CPC Class Codes: B60W 2530/20 Tyre data
• CPC Class Codes: B60W 2552/15 Road slope, i.e. the inclination of a road segment in the longitudinal direction
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: F16H 2059/142 of driving resistance calculated from weight, slope, or the like
• CPC Class Codes: F16H 2059/663 Road slope
• CPC Class Codes: F16H 2059/666 Determining road conditions by using vehicle location or position, e.g. from global navigation systems [GPS]
• CPC Class Codes: F16H 59/50 Inputs being a function of the status of the machine, e.g. position of doors or safety belts
• CPC Class Codes: F16H 61/12 Detecting malfunction or potential malfunction, e.g. fail safe in control of hydrostatic gearing F16H61/4192; Circumventing or fixing failures

Abstract

A method for detecting an abnormal condition in one mobile machine in a fleet of like mobile machines is provided. The one mobile machine travels from a first point (A) to a second (B). The method includes the steps of determining an average fleet resistance factor for the fleet and sensing via onboard sensors a plurality of parameters of the one mobile machine as it travels from A to B and determining a current machine resistance factor. The average fleet resistance and the current machine resistance factor are compared and the abnormal condition is detected.

Claims

1. A method for detecting an abnormal condition in one mobile machine in a fleet of like mobile machines, the one mobile machine moving from a first point (A) to a second point (B), comprising:

(1) determining an average fleet resistance factor for the fleet;

(2) sensing, via onboard sensors, a plurality of parameters of the one mobile machine as it travels from A to B, and responsibly determining a current machine resistance factor; and

,

(3) comparing said average fleet resistance factor and said current machine resistance factor and responsively detecting the abnormal condition.

2. A method, as set forth in claim 1, wherein the abnormal condition is an under inflated tire.

3. A method, as set forth in claim 1, wherein the abnormal condition is low engine power.

4. A method, as set forth in claim 1, including the step of sensing a plurality of parameters and wherein said current machine average resistance factor is a function thereof.

5. A method, as set forth in claim 1, wherein said current machine average resistance factor is a total resistance factor.

6. A method, as set forth in claim 1, wherein said current machine average resistance factor is a rolling resistance factor.

7. A method for detecting an abnormal condition in one mobile machine in a fleet of like mobile machines, the one mobile machine traversing from a first point (A) to a second point (B) and from a third point (C) to a fourth point (D), wherein travel from A to B is powered and travel from C to D is unpowered, comprising:

determining a first average fleet resistance factor during powered travel;

determining a second average fleet resistance factor during unpowered travel;

sensing, via onboard sensors, a plurality of parameters of the one mobile machine as it travels from A to B, and responsibly calculating a first current mobile machine resistance factor;

sensing, via onboard sensors, a plurality of parameters of the one mobile machine as it travels from C to D, and responsibly calculating a second current mobile machine resistance factor; and

,

comparing said first current mobile machine resistance factor to said first average fleet resistance factor and said second current mobile machine resistance factor to said second average fleet resistance factor and responsibly detecting the abnormal condition.

8. A method for detecting an abnormal condition in one mobile machine in a fleet of like mobile machines, the one mobile machine traveling from a first point (A) to a second point (B), comprising:

sensing the amount of fuel within the mobile machine and the weight of a payload of the machine and responsibly determining the gross weight of the mobile machine as travels from A to B;

sensing a parameter of the mobile machine as travels from A to B and responsibly determining a net rimpull;

sensing a speed of the mobile machine as travels from A to B and responsibly determining a wind resistance;

calculating a current resistance factor as a function of the gross weight, net rimpull, and wind resistance; and

,

comparing the resistance factor with an average fleet resistance factor and responsibly detecting the abnormal condition.