Smart Emergency Device Configuration via Sensor Data
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Solution Overview
Problem
Existing smart emergency devices lack the capability to automatically provide real-time, safe exit guidance during emergencies, such as fires, as they cannot dynamically assess environmental conditions and direct users away from unsafe areas.
Innovation Solution
A data processing system that receives sensor data from various sensors in a building, determines configurations for smart emergency devices, and sends instructions to guide users to safe exits, using a lookup table to map sensor data to device configurations, thereby ensuring safe evacuation paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smart emergency devices use fixed static configurations, then device complexity is reduced, but adaptability to changing emergency conditions deteriorates
Solution Approach 1:
The patent implements dynamic configuration of smart emergency devices based on real-time sensor data. The system continuously monitors environmental conditions (smoke, heat, gas levels) and automatically updates device behavior, exit signs, and evacuation routes without requiring manual intervention. This allows the system to adapt to changing emergency conditions while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The system incorporates feedback loops where sensor data from the environment is continuously fed back to the control system, which then adjusts device configurations accordingly. This closed-loop control enables the system to respond dynamically to emergency conditions, improving adaptability while the automated feedback mechanism prevents complexity from escalating through manual configuration requirements.
2Measurement precision
If real-time sensor data processing is implemented, then guidance accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-mapping evacuation routes, pre-positioning smart devices, and pre-configuring response protocols before emergencies occur. During actual emergencies, the system only needs to evaluate sensor data against pre-established criteria and activate predetermined responses, significantly reducing processing time while maintaining high guidance accuracy through real-time sensor monitoring.
Solution Approach 2:
The system implements partial processing by focusing computational resources on critical decision points rather than analyzing all sensor data comprehensively. It processes only the most relevant sensor inputs (smoke density, temperature thresholds, gas concentrations) that directly impact evacuation guidance, achieving sufficient accuracy without the time cost of complete data analysis.
3Reliability
If multiple sensors are deployed throughout the building, then detection coverage is improved, but system complexity increases
Solution Approach 1:
The patent employs multi-functional smart devices that can detect multiple parameters (smoke, heat, gas) and perform multiple functions (detection, communication, guidance indication) within single units. This universal approach allows comprehensive detection coverage through strategically placed multi-functional devices rather than numerous specialized sensors, reducing overall system complexity while maintaining reliable detection coverage.
Solution Approach 2:
The system merges detection, processing, and actuation functions into integrated smart devices. By combining multiple sensor types and control capabilities within unified device nodes, the system achieves extensive detection coverage through fewer consolidated units, thereby reducing the complexity that would arise from managing numerous separate components.
Data Source
AI summary
Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives sensor data from a set of sensors. Each sensor in the set of sensors is configured to sense a physical quantity in an environment. Based on the sensor data, the program further determines a set of configurations for a set of smart devices. The set of smart devices includes a set of smart emergency devices installed in a building. Each smart emergency device in the set of smart emergency devices is configured to provide emergency exit information to guide exiting the building. The program also sends the set of configurations to the set of smart devices.