Wearable Sensor Hazard Mapping System
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Solution Overview
Problem
Current worksite monitoring systems are inadequate in detecting and mapping hazards, as a single sensor measurement is insufficient to determine the presence or source of hazards like electric fields, overheating devices, or dangerous gases, making it difficult to identify potential dangers.
Innovation Solution
A system comprising multiple sensors and a hazard mapping computing device that uses a reference map with location identifiers and sensor levels to compare sensor measurements, determining alert conditions and generating hazard maps by interpolating data from various sensor locations, enabling accurate identification of hazard sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single sensor measurement is used, then the device complexity is reduced, but the measurement precision and ability to determine hazard presence or source is insufficient
Solution Approach 1:
The system divides the monitoring function into multiple distributed sensor units, each equipped with multiple sensors. This segmentation allows each unit to independently collect localized data while the overall system achieves comprehensive hazard detection through aggregation of multiple measurements across different locations and sensor types.
2Measurement precision
If multiple sensors and sensor units are deployed, then the measurement precision and hazard source identification improve, but the device complexity increases
Solution Approach 1:
Multiple sensor units with diverse sensors (electric field, temperature, gas detection) are merged into a coordinated network managed by a central processing system. This merging enables the system to detect multiple hazard types simultaneously and cross-validate measurements, improving hazard source identification while sharing the complexity burden across integrated components.
Solution Approach 2:
The system implements feedback mechanisms where sensor measurements are continuously processed, compared against reference maps, and used to generate alerts or update hazard assessments. This feedback loop enables dynamic hazard detection and source tracking, allowing the system to adapt to changing conditions and improve identification accuracy over time.
3Reliability
If sensor measurements are compared against reference maps, then the reliability of hazard detection improves, but the loss of time for data processing increases
Solution Approach 1:
Reference maps containing baseline sensor level data for various locations are pre-computed and stored before actual hazard detection begins. This preliminary action creates a ready-to-use comparison database, allowing the system to quickly assess current measurements against established references without performing complex computations during real-time hazard detection, thus reducing processing time while maintaining reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system effectively detects and maps hazards, providing accurate location and intensity of potential dangers, allowing for timely alerts and safety measures to be taken by workers, enhancing workplace safety.
Implementation Method 1
Current sensors can detect the presence of an electric field by sensing an electric field magnitude at a particular location
Data Source
AI summary
A system for detecting and mapping hazards is provided. The system includes at least one sensor unit including a plurality of sensors and a locating device and a hazard mapping (HM) computing device. The HM computing device includes at least one processor configured to receive, from the plurality of sensors, a plurality of sensor measurements, receive, from the locating device, a plurality of sensor locations, determine, based on the sensor locations, a location of the sensor unit during each sensor measurement of the plurality of sensor measurements, identify, for each determined location, a first location identifier of a first plurality of location identifiers, compare each sensor measurement corresponding to the first location identifier to a reference sensor level of the identified first location identifier, and determine that an alert condition is present based on the comparison.