Geospatial intelligence system for evaluating the work environment and physical load of factory workers

Area of Science:

• Occupational Health and Safety
• Ergonomics
• Environmental Monitoring

Background:

• Traditional methods for assessing worker exposure in manufacturing plants often rely on fixed-point measurements, which may not capture the full environmental variability.
• Evaluating both environmental and physical loads is crucial for worker well-being and accident prevention.

Purpose of the Study:

• To assess the effectiveness of a novel method for evaluating environmental and physical loads on manufacturing workers, considering spatial variations.
• To develop a system that estimates workers' thermal comfort and fatigue without increasing measurement burdens.

Main Methods:

• Deployed environmental sensors (temperature, humidity) and BLE beacons in manufacturing facilities to cover work areas.
• Collected worker feedback on thermal comfort and fatigue through questionnaires.
• Utilized regression models for thermal comfort prediction and decision tree analysis for fatigue-related factors.

Main Results:

• Developed regression models for thermal comfort with adjusted R-squared values of 0.418 (fixed-point temperature) and 0.495 (perceived temperature).
• Identified relative humidity, activity level, and temperature as key predictors for fatigue using decision tree analysis, finding no simple linear relationship with environmental factors.
• Demonstrated the feasibility of estimating work environment and workload without additional measurement burdens.

Conclusions:

• The proposed method, integrating indoor localization with environmental data, effectively estimates worker conditions and environmental distribution.
• This approach offers a practical solution for preventing occupational accidents and improving worker health by providing a more comprehensive assessment of exposure.
• The findings support moving beyond conventional fixed-point data to a more dynamic, area-wide assessment of the manufacturing work environment.