Worker Fatigue Scoring Platform Using Weighted Temporal Analysis
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Solution Overview
Problem
Worker fatigue in organizational settings is difficult to identify and address, leading to decreased productivity, increased attrition, and safety risks, as existing methods lack effective tools for quantifying and mitigating fatigue levels across multiple days of work.
Innovation Solution
A worker management platform collects work data to calculate a fatigue score using a daily fatigue function, applying weight coefficients to determine the impact of work and rest hours over time, providing a fatigue score and recommendations to managers for mitigating fatigue through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If managers use traditional methods to identify worker fatigue, then they can maintain simple monitoring processes, but they fail to accurately quantify and measure fatigue levels
Solution Approach 1:
The patent introduces a fatigue calculation module as an intermediary component that automatically computes fatigue scores by integrating multiple data sources (work schedule data, biometric data, survey data) through weighted calculations. This mediator translates complex multi-source data into a single quantifiable fatigue metric, resolving the contradiction by enabling precise measurement without requiring managers to directly manage the complexity of multiple data collection systems
Solution Approach 2:
The patent replaces manual fatigue assessment methods (mechanical human judgment) with an automated computational system that uses algorithms to calculate fatigue scores. The system substitutes human managers' subjective evaluation with an objective mathematical model that processes work hours, rest periods, and biometric data to generate precise fatigue measurements, thereby improving measurement precision while the automation handles system complexity
2Reliability
If managers implement comprehensive fatigue monitoring, then they can identify fatigue issues accurately, but they consume significant time and resources
Solution Approach 1:
The patent implements preliminary action by continuously collecting and pre-processing work schedule data, biometric data, and survey responses in the background before fatigue assessment is needed. The system maintains ready-to-use datasets and pre-calculates baseline fatigue metrics, so when fatigue identification is required, managers receive immediate results without time-consuming data gathering, thus improving reliability while minimizing time loss
Solution Approach 2:
The fatigue monitoring system performs self-service by automatically collecting data from multiple sources, calculating fatigue scores, and generating reports without requiring manual intervention. The system autonomously integrates data from work schedules, biometric devices, and employee surveys, performs the weighted calculations, and delivers results to managers, thereby achieving high reliability in fatigue identification while eliminating the time and resource investment that would be required for manual assessment
3Productivity
If managers manually assess each worker's fatigue, then they can maintain simple assessment procedures, but they cannot effectively address fatigue across multiple days of work
Solution Approach 1:
The patent applies segmentation by breaking down the fatigue assessment into distinct temporal components: daily fatigue calculations based on individual day's work and rest, multi-day fatigue trends analyzing patterns over weeks, and cumulative fatigue assessment. The system segments data collection into separate modules (work schedule data, biometric data, survey data) that are processed independently and then integrated through weighted calculations, enabling effective multi-day fatigue addressability while managing complexity through modular design
Solution Approach 2:
The patent transitions from one-dimensional manual assessment to multi-dimensional automated analysis by incorporating temporal dimension (multi-day trends), intensity dimension (weighted fatigue scores), and source dimension (multiple data sources). The system analyzes fatigue not just as a single point in time but as a evolving pattern across multiple dimensions, enabling productivity improvement through comprehensive fatigue mitigation while the automated system manages the inherent complexity
4Object-affected harmful factors
If organizations implement fatigue reduction measures, then they can improve worker safety and engagement, but they increase operational complexity
Solution Approach 1:
The patent implements feedback by continuously monitoring fatigue scores and providing real-time information to managers about workers' fatigue levels. The system generates alerts when fatigue thresholds are exceeded and provides feedback on the effectiveness of fatigue reduction measures through trend analysis. This closed-loop feedback mechanism enables organizations to improve workplace safety by responding to actual fatigue conditions while the automated feedback system manages the complexity of continuous monitoring and analysis
Data Source
AI summary
Methods and systems for identifying and addressing worker fatigue are provided. Work data associated with a worker of an organization is identified. The work data indicates at least a number of hours worked by the worker during one or more intervals of a time period. A fatigue state associated with the worker during the time period is calculated based on the identified work data. The fatigue state corresponds to an amount of fatigue accumulated by the worker during the time period. A fatigue score associated with the worker is determined based on the calculated fatigue state. The fatigue score indicates a level of fatigue associated with the worker in view of fatigue of other workers of the organization. The fatigue score is provided to a client device.