Wearable Sensor Workforce Risk Assessment System
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Solution Overview
Problem
Current methods for workplace safety assessment lack real-time and continuous evaluation of risk factors, leading to significant economic losses due to workplace injuries, as they fail to provide quantified assessments for individual and aggregate workforce risks effectively.
Innovation Solution
A system and method involving sensors to measure conditions affecting individual workers, processing resources to derive risk scores, and combining these scores to quantify workplace risk, including risk of injury safety cost (RISC) and reportable incident count (RIC), using multiple methodologies and data translation to provide enterprise risk assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional workplace safety assessment methods are used, then implementation is simple, but real-time and continuous evaluation of risk factors cannot be achieved
Solution Approach 1:
The system segments the workforce into individual units, each equipped with wearable sensors that independently collect data. This segmentation enables real-time monitoring of each worker while maintaining manageable system complexity through modular architecture where each sensor unit operates semi-autonomously
Solution Approach 2:
The wearable sensor units are designed as universal multi-functional devices that can monitor multiple parameters (physical conditions, environmental factors, task characteristics) across different workers and job types. This universality achieves comprehensive real-time assessment without requiring separate specialized systems for each function
2Measurement precision
If quantified assessments for individual workers are implemented, then workplace risk evaluation improves, but data processing complexity increases
Solution Approach 1:
The system employs automated algorithms and machine learning models that process sensor data without requiring manual intervention. The risk assessment methodology self-calibrates and adapts by continuously analyzing aggregated data, improving measurement precision while keeping processing complexity manageable through automation rather than human analysis
Solution Approach 2:
The system implements continuous feedback loops where processed data from individual workers feeds back into the risk assessment model, refining predictions and identifying patterns. This feedback mechanism improves quantification accuracy over time while the automated nature of the feedback processing prevents complexity from escalating
3Reliability
If continuous monitoring of all employees is performed, then enterprise risk assessment improves, but computational resources required increase
Solution Approach 1:
The system processes data at multiple levels of detail - individual worker monitoring occurs continuously, but enterprise-level aggregation uses sampled and summarized data. This partial processing approach maintains reliable enterprise risk assessment by focusing computational resources on critical aggregations rather than processing every individual data point at full resolution continuously
Solution Approach 2:
The system merges individual risk assessments into aggregate enterprise metrics by combining data from all workers. This merging reduces computational burden by processing aggregated statistics rather than analyzing each individual's complete data stream separately, thereby reducing overall resource consumption while maintaining assessment reliability
Data Source
AI summary
Systems and methods are provided for evaluating workplace risk by associating sensors with individual members of a workforce to measure conditions affecting the individual. Data is obtained from the sensors for reoccurring work periods for each individual so that a risk analysis may be performed to derive a risk score. Probability of injury is calculated aggregating risk scores for multiple reoccurring work periods. The calculated probability of injury is used to quantify workplace risk for the at least one individual and an enterprise risk assessment is provided by combining the quantified risks for each individual.