Wearable Safety Monitoring for Real-Time Worker Risk Reporting
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Solution Overview
Problem
Existing workplace injury monitoring systems fail to effectively collect and analyze data from wearable devices to facilitate early intervention and proactive addressing of safety risks, often leading to delayed or biased reporting by workers.
Innovation Solution
A wearable device that records audio and sensor data in response to an event trigger, communicating this information to a monitoring system to initiate workflows, report incidents, and facilitate data analytics, while eliminating bias and inconsistency in reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If workers manually report safety issues and incidents, then reporting can be done without additional technology, but reporting is delayed and biased due to human factors
Solution Approach 1:
The wearable device automatically collects and records safety data in real-time before incidents occur, continuously monitoring worker movements, environmental conditions, and physiological states. This preliminary data collection eliminates the need for workers to manually recall and report issues later, preventing both delay and bias in reporting.
Solution Approach 2:
The patent replaces the manual mechanical reporting process with an automated electronic monitoring system. Sensors in the wearable device automatically detect and record safety parameters, substituting human memory and manual reporting with objective sensor data collection and automated analysis algorithms.
2Productivity
If wearable devices continuously monitor workers, then real-time safety data is collected, but device complexity and power consumption increase
Solution Approach 1:
The monitoring system is divided into multiple independent sensor modules (motion sensors, environmental sensors, physiological sensors) that can be selectively activated. This segmentation allows the device to monitor only relevant parameters during different work conditions, reducing overall complexity and power consumption while maintaining real-time monitoring capability.
Solution Approach 2:
The device implements periodic sampling of safety parameters rather than continuous monitoring at maximum resolution. Sensors take measurements at optimized intervals based on work intensity and risk levels, reducing data processing requirements and power consumption while still providing real-time safety assessment when needed.
3Measurement precision
If comprehensive safety data is collected from multiple sensors, then risk assessment accuracy improves, but data processing and analysis complexity increases
Solution Approach 1:
The patent introduces an intermediary processing layer that aggregates data from multiple sensors and applies pre-configured risk assessment algorithms. This intermediary system translates complex multi-sensor data into simplified risk scores and actionable alerts, maintaining high assessment accuracy while reducing the complexity of final data interpretation and decision-making.
Data Source
AI summary
A system and method for evaluating safety risk of workers is presented. The system includes wearable devices configured to be attached to or carried by workers during a work shift and a monitoring system. The wearable device includes sensors configured to sample sensor data indicative of working conditions and work performed by workers. The wearable device is configured to record an audio recording and communicate a set of data including the audio recording and/or sensor data to the monitoring system in response to an event trigger being engaged. In one or more arrangements, the monitoring system is configured to facilitate creation of a workflow for performance of a task described in the audio recording in response to receiving the set of data.