Caterpillar Inc.

Caterpillar Paving Products Inc.

Liqun Chi

Paul Thomas Corcoran

Brad L Holsapple

Scott Alan Leman

Sanat Arun Talmaki

Allen John DeClerk

Mark William Whiting

Nicholas Alan Oetken

Kristian Stoeckel

Susan B Grandone

A method of controlling machines for performing operations at a worksite is disclosed. The method includes receiving pre-construction terrain data, design terrain data, and resource data and then defining a plurality of constraints based on the data. Operations of the machines are simulated based on the data. The method includes estimating process variables associated with the operations and defining and scheduling tasks to be performed by the machines. The method includes collecting real time data from the worksite and updating the estimated process variables and the scheduled tasks of the machines based on the collected real time data. Instructions are then provided to the machines for executing the tasks.

Method of optimizing performance of machines at a worksite

Method of controlling machines at a worksite

A system for determining a modulus of resilience of a work material during a compaction operation includes a processor configured to determine a work material stiffness based on a force applied to the work material and a displacement of the work material, and determine the modulus of resilience of the work material based on a relationship between the work material stiffness and the modulus of resilience of the work material.

System and method for determining a modulus of resilience

A system for validating compaction of work material at a work site including a compaction machine. A sensor and a location sensor are associated with the compaction machine. A controller is configured to receive compaction data from the sensor and position data from the location sensor and to determine a structural parameter of the work material based on the compaction data and physical properties of the compaction machine. The controller associates the structural parameter of the work material with the position data. The controller saves structural parameters and associated position data for different locations in the work site and for different layers of work material in the work site and compares the saved structural parameters and associated position data with predetermined structural design criteria for corresponding locations and layers in the work site.

System and method for validating compaction of a work site

The present disclosure considers a system and method that can predict soil compaction and machine-specific productivity rate across multiple soil conditions without requiring site-specific samples and multi-variable lab testing. The method and system disclosed here can utilize predictive algorithms combined with a soils database to predict soil response to compaction energy across a range of soil moistures for the range of compaction machines available to predict compaction performance.

Robust system and method for forecasting soil compaction performance

The present invention is associated with a system and method of managing a compaction process. The method may include establishing a soil characteristic and establishing a machine performance characteristic in response to the soil characteristic. The machine performance characteristic may include a predictive compaction characteristic associated with a particular machine.

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Peoria, IL, United States of America

Liqun Chi