Wearable Beacon Tracking for Worksite Safety and Productivity
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Solution Overview
Problem
Construction sites face issues with worker location awareness, safety, and productivity, including late accident notifications and costly, time-consuming individual productivity tracking, necessitating a solution for enhanced monitoring and tracking.
Innovation Solution
A system utilizing wearable beacons with sensors and unique IDs, linked to stationary detectors and cloud-connected routers, enables real-time monitoring and tracking of worker locations, activities, and conditions, with AI analysis for productivity and safety enhancements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wearable beacons and stationary detectors are deployed to monitor worker locations in real-time, then safety and accident detection are improved, but device complexity and implementation cost increase
Solution Approach 1:
The monitoring system is segmented into distributed wearable beacons and stationary detectors throughout the worksite. Each beacon contains multiple sensors (accelerometer, gyroscope, proximity detector) that independently monitor different aspects of worker safety, while stationary detectors are placed at strategic locations. This segmentation allows comprehensive safety monitoring without requiring a single complex centralized system.
Solution Approach 2:
The wearable beacons are designed as multi-functional devices that simultaneously perform location tracking, accident detection through sensor arrays, and productivity monitoring. The same hardware platform supports multiple safety functions (fall detection, proximity warnings, emergency alerts) and productivity functions (location tracking, activity monitoring), reducing overall system complexity despite the breadth of capabilities.
2Productivity
If continuous monitoring of worker locations and activities is implemented, then productivity analysis is improved, but loss of time and energy for data collection increases
Solution Approach 1:
The system continuously collects and pre-processes worker location and activity data in the background without interrupting work operations. Productivity metrics are calculated in real-time from sensor data as workers move through the worksite, eliminating the need for separate data collection phases and reducing time loss associated with periodic sampling or manual reporting.
Solution Approach 2:
The wearable beacons autonomously monitor and record worker activities, locations, and productivity metrics without requiring external intervention. The sensors automatically detect work activities, calculate productivity indicators, and transmit data to the central system, freeing workers from manual reporting tasks and reducing the time required for productivity assessment.
Data Source
AI summary
A system and a method for monitoring the location of workers in a worksite to enhance safety and productivity are used to facilitate the monitoring of every worker to determine the individual performance and the condition of the worker. A present signal is broadcasted with each wearable beacon from a plurality of wearable beacons. The present signal from an arbitrary beacon is received with a proximal detector from a plurality of proximal detectors. The present signal of the arbitrary beacon is relayed from the proximal detector to a remote server. A current approximate location of the arbitrary beacon from the worksite location of the proximal detector is assessed. The current approximate location of the arbitrary beacon is logged into a location history of the arbitrary beacon with the remote server. Then, a plurality of iterations for the process is executed to continuously monitor the location and condition of each worker.