17945923. SYSTEMS AND METHODS FOR MACHINE USAGE VISUALIZATION simplified abstract (Caterpillar Inc.)

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SYSTEMS AND METHODS FOR MACHINE USAGE VISUALIZATION

Organization Name

Caterpillar Inc.

Inventor(s)

Theodore Maestranzi of Peoria IL (US)

Shane C. Mcbride of Denver CO (US)

SYSTEMS AND METHODS FOR MACHINE USAGE VISUALIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17945923 titled 'SYSTEMS AND METHODS FOR MACHINE USAGE VISUALIZATION

Simplified Explanation

The method described in the abstract involves visualizing machine usage by receiving job site location information, telematics data, machine status, and grouping machines into machine and job site groups.

  • Receiving job site location information for multiple machines
  • Receiving telematics data for multiple time periods, including machine type, fault codes, and usage information
  • Receiving machine status for one or more machines
  • Grouping machines by machine type
  • Grouping machines by job site location information

Potential Applications

This technology could be applied in industries where monitoring and optimizing machine usage is crucial, such as construction, agriculture, and logistics.

Problems Solved

This technology helps in tracking and analyzing machine usage, identifying potential issues or faults, and optimizing machine performance based on usage patterns.

Benefits

The benefits of this technology include improved machine efficiency, reduced downtime, proactive maintenance, and better resource allocation based on usage data.

Potential Commercial Applications

Commercial applications of this technology could include fleet management systems, equipment rental services, and construction project management tools.

Possible Prior Art

One possible prior art for this technology could be existing telematics systems used in industries like transportation and logistics to track vehicle performance and location data.

What are the potential security implications of collecting and analyzing telematics data for machines?

Collecting and analyzing telematics data for machines can raise security concerns related to data privacy, potential hacking or unauthorized access to machine data, and the risk of sensitive information being exposed.

How can machine usage visualization help in predicting maintenance needs and preventing costly breakdowns?

By analyzing machine usage patterns, identifying fault codes, and monitoring machine status, machine usage visualization can help in predicting maintenance needs, scheduling proactive maintenance tasks, and preventing costly breakdowns by addressing issues before they escalate.


Original Abstract Submitted

A method for machine usage visualization, the method including: receiving job site location information for a plurality of machines; receiving telematics data for multiple time periods from one or more of the plurality of machines, the data including: machine type, fault codes, and usage information; receiving a machine status for one or more of the plurality of machines; grouping the machines into machine groups by the received machine type; and grouping the machines into job site groups by the received job site location information.