US2017372534A1PendingUtilityA1

Configurable monitor and parts management system

Assignee: MODUSTRI LLCPriority: Jan 15, 2015Filed: Jan 15, 2016Published: Dec 28, 2017
Est. expiryJan 15, 2035(~8.5 yrs left)· nominal 20-yr term from priority
G06Q 10/20E02F 9/2054E02F 9/26E02F 3/96E02F 9/267G07C 5/085H04W 84/18G07C 5/0808E02F 9/2025G07C 5/02E02F 9/003H04W 4/80G09B 5/02G09B 19/167G06Q 10/087G07C 5/008G06Q 10/40H02J 50/10
57
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Claims

Abstract

A monitoring and maintenance system that utilizes imperial and theoretical data to compare parts, vehicles, users, regions, wear intensity indexes over time and tracking information to provide a sophisticated data collection system for heavy-duty equipment or rental equipment. This tracking is designed to better the specifications, designs, training, preventative maintenance, and replacement wear understanding of fleet management.

Claims

exact text as granted — not AI-modified
1 . A method of identifying heavy-duty vehicle operation events comprising:
 storing a plurality of patterns representing heavy duty vehicle operation events in memory;   affixing an HDi monitor to a heavy-duty vehicle;   operating the heavy-duty vehicle over time;   collecting sensor data with the HDi monitor as the heavy-duty vehicle is operated; and   identifying a heavy-duty vehicle operation event by comparing the sensor data with the plurality of patterns stored in memory.   
     
     
         2 . The method of identifying heavy-duty vehicle events of  claim 1  wherein the sensor data includes vibration data and the method includes analyzing the vibration data to track wear associated with a heavy-duty vehicle wear part. 
     
     
         3 . The method of identifying heavy-duty vehicle events of  claim 1  including providing vehicle operator coaching related to a heavy-duty vehicle operation event based on identifying that heavy-duty vehicle operation event. 
     
     
         4 . The method of identifying heavy-duty vehicle events of  claim 1  including calculating an operator rating. 
     
     
         5 . The method of identifying heavy-duty vehicle events of  claim 1  including affixing another HDi monitor to a work tool, installing the work tool on the heavy-duty vehicle, collecting sensor data with the HDi monitor affixed to the work tool as the heavy-duty vehicle is operated, and associating the heavy-duty vehicle and the work tool based on a comparison of the sensor data from the HDi monitor affixed to the heavy-duty vehicle and the sensor data from the HDi monitor affixed to the work tool. 
     
     
         6 . The method of identifying heavy-duty vehicle events of  claim 1  including associating an operator to at least one of a heavy-duty vehicle and a work tool, monitoring wear of the work tool or a wear part on the heavy-duty vehicle based on the sensor data, and attributing the wear to the associated user. 
     
     
         7 . The method of identifying heavy-duty vehicle events of  claim 5  includes limiting vehicle functionality based on operator. 
     
     
         8 . The method of identifying heavy-duty vehicle events of  claim 1  wherein the sensor data includes acceleration data. 
     
     
         9 . The method of identifying heavy-duty vehicle events of  claim 1  wherein the heavy-duty vehicle operation event includes at least one of digging with a work tool attached to the heavy-duty vehicle, moving the heavy-duty vehicle, and turning a turret of a heavy-duty vehicle 
     
     
         10 . The method of identifying heavy-duty vehicle events of  claim 1  including identifying a shock event based on the sensor data. 
     
     
         11 . The method of identifying heavy-duty vehicle events of  claim 1  including affixing a plurality of HDi monitors to a fleet of heavy-duty vehicles, collecting sensor data for the fleet of heavy-duty vehicles, and tracking the location and wear data of the fleet of heavy-duty vehicles using the sensor data. 
     
     
         12 . The method of identifying heavy-duty vehicle events of  claim 1  including communicating sensor data via a social mesh network via advertising mode. 
     
     
         13 . The method of identifying heavy-duty vehicle events of  claim 1  including affixing additional sensors on at least one of an oil filter, wear surface, and a filter system 
     
     
         14 . An HDi system comprising:
 a heavy-duty vehicle;   memory that stores a plurality of patterns representing heavy-duty vehicle operation events in memory;   a sensor affixed to the heavy-duty vehicle that collects sensor data as the heavy-duty vehicle is operated;   a controller configured to identify a heavy-duty vehicle operation event by comparing the sensor data with the plurality of patterns in memory.   
     
     
         15 . The HDi system of  claim 14  wherein the sensor data includes vibration data and the method includes analyzing the vibration data to track wear associated with a heavy-duty vehicle wear part. 
     
     
         16 . The HDi system of  claim 14  wherein the controller is configured to provide vehicle operator coaching information to a user related to a heavy-duty vehicle operation event based on identifying that heavy-duty vehicle operation event. 
     
     
         17 . The HDi system of  claim 14  wherein the controller is configured to calculate an operator rating. 
     
     
         18 . The HDi system of  claim 14  wherein the controller is configured to associate a heavy-duty vehicle and a work tool. 
     
     
         19 . The HDi system of  claim 14  wherein the controller is configured to associate an operator to at least one of a heavy-duty vehicle and a work tool, and monitoring wear of the work tool based on the sensor data. 
     
     
         20 . The HDi system of  claim 19  wherein the controller is configured to limit vehicle functionality based on an operator profile. 
     
     
         21 . The HDi system of  claim 14  wherein the sensor data includes acceleration data. 
     
     
         22 . The HDi system of  claim 14  wherein the heavy-duty vehicle operation event includes at least one of digging with a work tool attached to the heavy-duty vehicle, moving the heavy-duty vehicle, and turning a turret of a heavy-duty vehicle 
     
     
         23 . The HDi system of  claim 14  wherein the controller is configured to identify a shock event based on the sensor data. 
     
     
         24 . The HDi system of  claim 14  including a plurality of HDi monitors affixed to a fleet of heavy-duty vehicles, collecting sensor data for the fleet of heavy-duty vehicles, and tracking the wear data of the fleet of heavy-duty vehicles using the sensor data. 
     
     
         25 . The HDi system of  claim 14  wherein the controller is configured to communicate sensor data via a social mesh network via advertising mode. 
     
     
         26 . The HDi system of  claim 14  including an additional sensor on at least one of an oil filter, wear surface, and a filter system. 
     
     
         27 .- 47 . (canceled)

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