Triax’s Spot-r system was developed to tackle the construction industry’s unique safety and productivity challenges, stemming from a demonstrated lack of total jobsite visibility and automatically collected, easily accessible field data. Spot-r by Triax combines a proprietary mesh network with sensor technology to record and transmit previously unattainable workforce and equipment location, activity and safety data within a defined area – all in real-time. The Spot-r network is installed around the site and operates in a 900 MHz network, with a subset using a cellular connection to forward Spot-r sensor data to Triax’s custom, cloud dashboard. In the hazardous construction environment, the wearable Spot-r Clip detects worker slips, trips, or falls on site and sends automatic alerts to designated personnel. Workers can also trigger an alert to supervisors via their wearable device. In a situation that requires an evacuation, superintendents can activate the Spot-r EvacTag, which augments current evacuation procedures with a visual, high-decibel alarm. Real-time worker headcounts and floor- and zone-based location via the Spot-r dashboard eliminates time spent tracking down people or information and helps account for workers during an evacuation. Operating off the same network and working with the Spot-r Clip, the Spot-r EquipTag adheres to nearly any piece of equipment to track real-time location, utilization, and operator identity, providing a comprehensive view of how resources are interacting on site. Aggregate utilization data by operator, subcontractor, zone, or time period helps coordinate resources and minimize downtime. By automatically collecting real-time data from workers and equipment - without technical limitations such as wireless internet, project scope, or clear line of sight to the sky - Spot-r provides unprecedented visibility into site operations and safety, helping contractors build safer and smarter. Spot-r is currently being used on more than 40 sites by some of the nation’s leading contractors, including Turner and Gilbane.

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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.5703/1288284316632
Licence: CC BY-NC-SA license

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