Robot Fleet Emergency Response for Priority Warehouse Evacuation
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Solution Overview
Problem
Existing emergency management strategies in warehouses fail to prioritize the protection of valuable goods over less valuable ones and do not account for human safety and structural integrity during emergencies, often causing unnecessary property damage and risking human life.
Innovation Solution
Implementing a system of mobile units equipped with sensors to assess health and value, guided by robots (ERRs) that prioritize evacuation based on an optimization formula, using fire-resistant and water-resistant curtains, and dynamic lighting to guide safe paths, while utilizing fire extinguishers and fire suppression techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If water sprinklers are used to suppress fires, then fire suppression is achieved, but property damage increases and human safety is compromised
Solution Approach 1:
The system segments the warehouse into multiple zones with different priority levels based on goods value and hazard assessment. Mobile units are assigned to specific zones and can be evacuated independently, allowing targeted fire suppression rather than blanket water application that causes unnecessary property damage across the entire facility.
Solution Approach 2:
The system performs preliminary assessment of mobile unit health, goods value, and hazard levels before emergencies occur. Priority rankings are pre-calculated based on optimization formulas that consider multiple factors. When fire is detected, the system can immediately execute pre-planned evacuation and suppression strategies, reducing response time and avoiding unnecessary property damage from delayed or inappropriate water application.
2Ease of operation
If all goods are treated with equal priority during evacuation, then evacuation simplicity is maintained, but valuable goods are not protected and resource allocation is inefficient
Solution Approach 1:
The system assigns different priority levels to different mobile units based on the value of goods they carry and their current hazard exposure. High-value goods receive higher priority for evacuation and protection, while low-value goods receive lower priority. This localized differentiation of quality ensures valuable assets are protected without requiring complete evacuation of all goods, maintaining operational efficiency.
Solution Approach 2:
The system dynamically changes the priority parameter of mobile units based on real-time conditions such as goods value, hazard level, and mobile unit health. The optimization formula continuously adjusts priority rankings as parameters change, allowing the evacuation strategy to adapt to current conditions while maintaining simple execution through pre-calculated priority lists.
3Device complexity
If emergency responses are delayed or non-prioritized, then response complexity is reduced, but human safety and property loss increase
Solution Approach 1:
The system pre-calculates priority rankings for all mobile units using an optimization formula that considers goods value, hazard exposure, and mobile unit health before emergencies occur. When emergencies are detected, robots can immediately execute pre-planned evacuation routes and suppression strategies without complex real-time decision-making, maintaining simple coordination while ensuring high-value goods and hazardous materials are prioritized for protection.
Solution Approach 2:
The system continuously monitors mobile unit health, hazard levels, and evacuation progress, providing feedback to update priority rankings in real-time. This feedback mechanism allows the system to maintain simple robot coordination while dynamically adjusting priorities based on changing conditions, ensuring human safety and property protection are optimized throughout the emergency response.
Data Source
AI summary
A server includes a memory on which a map is stored, wherein the map represents locations of a plurality of mobile units; and a processor, configured to generate an emergency response plan based on sensor data and the map, wherein the emergency response plan comprises actions to be taken by a plurality of robots within a vicinity of the mobile units; and instruct a transceiver to send a signal representing the emergency response plan.