Indoor Facility Response Management With Sensor-Verified Localization
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Solution Overview
Problem
Indoor facilities face challenges in accurately localizing and addressing emergency situations due to large sizes, leading to delayed responses and potential economic or human safety risks, as conventional alarms may be missed by rescue teams and localization of incidents is difficult.
Innovation Solution
An unmanned vehicle transmits signals to a server device, which processes them using audio or image processing models to detect actionable events, determines a preliminary location with localization beacons, and verifies with static sensors to accurately locate the event, triggering alerts and providing guidance to rescue teams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional alarms are used in large indoor facilities, then the system is simple and low-cost, but the localization precision is poor and response time is delayed
Solution Approach 1:
The system segments the indoor facility into multiple monitoring zones with distributed sensors and unmanned vehicles. Each sensor node independently detects events and transmits to the central server, enabling precise localization while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The server device acts as an intermediary between sensors, unmanned vehicles, and rescue teams. It processes signals, determines locations, and coordinates responses, thereby improving localization precision without requiring direct complex connections between all system components.
2Reliability
If multiple sensors and unmanned vehicles are deployed to improve detection accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The system merges data from multiple sensors, unmanned vehicles, and processing models at the server device. By combining information sources, the system achieves higher detection reliability while the centralized processing approach manages complexity through integrated architecture.
Solution Approach 2:
The server device performs multiple functions including signal processing, location determination, event verification, and coordination with rescue teams. This multi-functionality consolidates complexity into a single centralized system rather than distributing it across multiple specialized devices.
3Loss of time
If manual verification of events is performed, then the false alarm rate decreases, but the response time increases
Solution Approach 1:
The server device performs preliminary processing of sensor signals and unmanned vehicle data to identify potential events before final verification. This preliminary action filters out false alarms early, reducing the time needed for final verification while maintaining high event accuracy through systematic checking.
Solution Approach 2:
The system implements feedback loops where the server device continuously monitors sensor data, verifies events, and updates the situation status. This feedback mechanism ensures accurate event identification while maintaining rapid response by continuously refining the situation assessment based on incoming data.
Data Source
AI summary
Techniques for response management in an indoor facility are described. A server device processes a signal from an unmanned vehicle to deduce occurrence of an actionable event. A preliminary location of the occurrence of the actionable event is determined based on an instantaneous position of the unmanned vehicle at the time of transmitting the signal. The inputs obtained from a set of static sensors located in proximity to the preliminary location is processed to verify the occurrence of the actionable event. A verified location of the occurrence of the actionable event is determined based on the preliminary location of the occurrence of the actionable event and an actual location of the set of static sensors within the indoor facility. The server device triggers an alert to indicate the occurrence of the actionable event, wherein the alert comprises the verified location of the occurrence of the event.