Wearable Sensor Hazard Alert System Using Scene Definitions
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Solution Overview
Problem
Current worksite monitoring systems are inadequate in aggregating multiple sensor measurements or different types of sensor data, limiting their ability to detect hazards, determine their nature, and generate alerts effectively.
Innovation Solution
A system comprising multiple sensor units with locating devices and a hazard analyzing computing device that aggregates sensor measurements and coordinates to determine alert conditions, using scene definitions and sensor fusion to generate quantitative hazard alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensor units and sensor types are deployed to improve hazard detection capability, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The system divides the worksite into multiple zones with different hazard risk levels. Each sensor unit independently monitors its local zone, and the central processing system aggregates data from multiple segments to create a comprehensive hazard assessment. This segmentation allows precise local measurements without requiring every sensor to analyze all data, reducing overall system complexity while maintaining high detection precision.
Solution Approach 2:
Multiple sensor units of different types (gas sensors, temperature sensors, motion sensors, etc.) are merged into a unified monitoring system. The patent combines data from heterogeneous sensors to create a composite hazard risk score, enabling precise hazard detection through data fusion while managing complexity through integrated processing architecture.
2Measurement precision
If sensor data aggregation and analysis are performed centrally to improve hazard identification accuracy, then measurement precision is improved, but loss of time in data processing increases
Solution Approach 1:
The system performs preliminary processing of sensor data at the source by organizing data into zone-based structures and pre-calculating basic metrics before central aggregation. This preliminary organization reduces the complexity of central processing, enabling faster hazard identification while maintaining high accuracy through comprehensive data analysis.
Solution Approach 2:
The system implements real-time feedback loops where hazard risk scores are continuously updated and communicated back to workers and supervisors. This feedback mechanism enables rapid response to hazardous conditions by providing timely alerts based on aggregated sensor data, reducing the effective processing time from hazard detection to actionable information.
Data Source
AI summary
A system for generating hazard alerts is provided. The system includes a plurality of sensor units including a plurality of sensors and a locating device, and a hazard analyzing (HA) computing device configured to communicate with the sensor units and including at least one memory device configured to store a scene definition, the scene definition defining a coordinate space of a worksite, and at least one processor configured to receive, from the sensors, a plurality of sensor measurements, receive, from the locating device of each sensor unit, at least one coordinate of the coordinate space, determine, based on the at least one coordinate, a location of the sensor unit during each sensor measurement, and determine, for at least a first sensor unit, that an alert condition is present based on the scene definition, the sensor measurements, and the determined location associated with the first sensor unit.