Heavy-Duty Tool Monitoring With RFID-Based Equipment Association
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Solution Overview
Problem
Existing systems for tracking and managing heavy-duty equipment are expensive, difficult to install, and do not effectively monitor work tools, leading to inefficiencies and increased costs in maintenance and operation.
Innovation Solution
The HDi system, which includes a monitor that collects sensor data from heavy-duty vehicles and work tools, identifies operation events, and generates outputs to alter vehicle operation, predict wear, provide operator coaching, and track inventory and maintenance needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced GPS tracking and telematics monitoring are installed on heavy duty equipment, then tracking and monitoring capabilities are improved, but installation difficulty and cost increase
Solution Approach 1:
The patent replaces complex wired telematics systems with RFID technology that uses electromagnetic fields for communication. The RFID reader/writer unit and tags enable tracking and monitoring without physical wire connections, eliminating the need for complex installation while maintaining measurement and tracking capabilities
Solution Approach 2:
The patent introduces RFID tags as intermediary elements that carry identification information for work tools and equipment. These passive tags simplify the system by eliminating the need for active sensors or complex processing units on each tracked object, reducing installation complexity while preserving tracking functionality
2Adaptability or versatility
If RFID is used to associate equipment with vehicles, then association capability is improved, but vulnerability to failure increases due to exposure requirements
Solution Approach 1:
The patent moves RFID tags from exposed surface-mounted positions to embedded positions within protective structures like equipment housings or vehicle bodies. This spatial repositioning maintains the electromagnetic field communication capability while adding mechanical protection, thereby improving reliability without sacrificing association capability
Solution Approach 2:
The patent incorporates protective enclosures or housing structures that shield RFID components from environmental damage, physical impact, and interference. This pre-emptive protection reduces vulnerability to failure modes such as moisture ingress, impact damage, and electromagnetic interference while preserving the association functionality
3Measurement precision
If work tools are tracked using exposed RFID tags, then tracking capability is improved, but susceptibility to damage from environmental exposure increases
Solution Approach 1:
The patent uses protective enclosures or housing structures that shield RFID tags and reader units from environmental damage, physical impact, and interference. This pre-emptive protection reduces vulnerability to failure modes such as moisture ingress, impact damage, and electromagnetic interference while preserving the association functionality
Solution Approach 2:
The patent relocates RFID components from exposed external surfaces to protected internal positions within equipment housings or vehicle structures. This spatial repositioning maintains RFID communication effectiveness while providing mechanical and environmental protection, thereby reducing susceptibility to damage from environmental factors
Data Source
AI summary
A heavy-duty interactive (HDi) system may include a heavy-duty vehicle; a work tool installed on the heavy-duty vehicle; a memory that stores a plurality of patterns representing operation events for the heavy-duty vehicle; a first sensor affixed to the heavy-duty vehicle that collects first sensor data as the heavy-duty vehicle is operated; a second sensor affixed to the work tool that collects second sensor data as the work tool is operated; and a controller operatively coupled to the first sensor, the second sensor, and the memory. The controller may be configured to identify a heavy-duty vehicle operation event by comparing at least one of the first sensor data and the second sensor data with the plurality of patterns in the memory, and associate the work tool with the heavy-duty vehicle based on a comparison of the first sensor data and the second sensor data.


