Abstract
In industrial Internet of Things (IoT) environments, assets are often remotely tracked and/or monitored to prevent early wear and tear, misplacements, etc. Typically, sensors are attached to assets to facilitate remote monitoring. However, sometimes these sensors can stop communicating or responding to remotely triggered commands and a human may be needed to interface with such assets. Provided herein are techniques in which sensor failures may trigger an asset tracking system to recognize and identify workers in a close proximity in order to use any information from the workers to substitute in the place of missing information and/or to initiate real time communications within the system in order to address one or more asset issues.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Janakiraman, Shridurgha, "TECHNIQUES TO DETECT NEARBY WORKERS AND ALLOW INTERACTIONS THROUGH ASSET TRACKING SYSTEMS FOR SENSOR FAILURE SCENARIOS", Technical Disclosure Commons, (January 12, 2021)
https://www.tdcommons.org/dpubs_series/3956