Dynamic Cloud Vehicle Dispatch via Real-Time Scene Modeling
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Solution Overview
Problem
Current emergency dispatch systems face delays and inefficiencies due to the lack of real-time information, leading to reactive responses rather than proactive measures, as they often rely on human observation and incomplete data, which can result in inadequate resource allocation and increased response times.
Innovation Solution
A processor-based system that receives emergency incident reports, models the scene using available data from various sources, including on-site sensors and infrastructure, to dispatch necessary entities and continuously updates the dispatch strategy based on real-time data, leveraging a network of sensors and drones for comprehensive scene assessment and optimal resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If personnel are dispatched on an as-needed basis based on human observation, then resource allocation cost is reduced, but response time increases and measurement precision deteriorates
Solution Approach 1:
The system performs preliminary actions by automatically detecting emergency incidents through sensors and cameras before human observation occurs. The processing system analyzes sensor data, identifies emergency situations, and dispatches personnel proactively, eliminating the lag between incident occurrence and personnel deployment.
Solution Approach 2:
The patent replaces the mechanical human observation system with an automated sensor-based detection system. Sensors, cameras, and processing systems automatically monitor for emergency incidents, eliminating the dependency on human observation and enabling faster, more consistent response times.
2Reliability
If multiple personnel are dispatched down the same route, then coverage is improved, but device complexity increases due to coordination requirements
Solution Approach 1:
The system continuously receives feedback from sensors and cameras about the emergency scene and route conditions. This feedback is processed in real-time to dynamically adjust dispatch decisions, optimize routing for multiple personnel, and coordinate their movements to avoid congestion and improve overall response efficiency.
Solution Approach 2:
The dispatch system is dynamic rather than static. It continuously updates personnel routes and assignments based on real-time sensor data, scene developments, and route conditions, allowing flexible adaptation to changing circumstances without predetermined rigid plans.
3Measurement precision
If dispatch waits for complete information before responding, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The system takes preliminary action by dispatching personnel based on initial sensor detections and partial information. The processing system can identify emergency situations and initiate dispatch procedures before complete information is gathered, continuously updating the scene model as more data becomes available from sensors and on-site reports.
Solution Approach 2:
The scene modeling process continues continuously as new sensor data becomes available. The system maintains an evolving understanding of the emergency scene, continuously updating the model and adjusting dispatch decisions without interruption, ensuring both speed and improving accuracy over time.
Data Source
AI summary
Upon report of an emergency incident, a system may dispatch one or more initial entities to respond to the incident and model an initial scene, based on the reported data. The system may further determine the availability of travel data, request available travel data and advise an entity of path feasibility. The system also determines availability of onsite data covering one or more locations associated with the incident and requests available onsite data. This data is used to update the scene model and determine additional necessary dispatches, data gathering, or both. Until additional data is determined to be no longer needed, the processor is configured to continue to: dispatch entities based on the updated scene model; determine the availability of additional onsite desired based on the updated scene model; request the new onsite data; and update the scene model based on any onsite data received responsive to any additional requests.