Mobile Device Hazard Detection and Selective Data Transmission
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Solution Overview
Problem
First responders face challenges in accurately locating individuals within complex environments due to limited or outdated information, especially in emergency situations where precise location data is crucial.
Innovation Solution
A mobile device system that captures sensor data, including inertial and image data, and transmits it to a remote computing device only when hazardous conditions are detected or a threshold amount of data is reached, conserving resources and improving location tracking and environmental mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is continuously transmitted to remote computing device, then location tracking accuracy is improved, but device energy consumption increases
Solution Approach 1:
The system transmits sensor data selectively rather than continuously - only when hazardous conditions are detected or when a threshold amount of data is accumulated. This partial transmission approach maintains location tracking accuracy for critical events while significantly reducing energy consumption during normal conditions.
Solution Approach 2:
The system changes the transmission parameter from continuous to event-triggered based on hazard detection. By monitoring environmental parameters (smoke, heat, gas levels) and changing transmission behavior when thresholds are exceeded, the system optimizes the balance between tracking accuracy and energy usage.
2Measurement precision
If sensor data is transmitted frequently, then environmental mapping accuracy is improved, but data transmission resources are depleted
Solution Approach 1:
The system transmits environmental data partially - only when hazardous conditions warrant attention or when sufficient data has been accumulated to provide meaningful environmental context. This prevents unnecessary transmission of redundant data while maintaining mapping accuracy for critical situations.
Solution Approach 2:
The system accumulates sensor data locally before transmission, performing preliminary data gathering and buffering. This allows the device to transmit more comprehensive environmental information in fewer transmissions, improving mapping accuracy while conserving transmission resources.
3Loss of information
If all sensor data is transmitted, then information completeness is improved, but data processing load increases
Solution Approach 1:
The system extracts and transmits only the most relevant sensor data - specifically data indicating hazardous conditions or significant environmental features. By filtering out redundant information and transmitting only essential data, the system maintains information completeness for critical events while reducing overall data processing load.
Solution Approach 2:
The system transmits a partial set of sensor data focused on hazard detection and critical environmental conditions rather than all available sensor streams. This selective transmission approach ensures completeness of safety-relevant information while managing data processing requirements.
Data Source
AI summary
Techniques of tracking a user's location are disclosed. In some embodiments, a mobile device captures first sensor data using at least one sensor, determines that a predetermined hazard criteria is not satisfied by an environment of a user of the mobile device, suppresses transmission of a representation of the captured first sensor data to a remote computing device based on the determination that the predetermined hazard criteria is not satisfied, captures second sensor data using the sensor(s), determines that the predetermined hazard criteria is satisfied by the environment of the user, and transmits a representation of the captured second sensor data to the remote computing device based on the determination that the predetermined hazard criteria is satisfied by the environment of the user.