Autonomous Drop Pod Mesh Deployment for Hazard-Zone Sensing

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Solution Overview

Problem

Poor communication and coordination of assets in hazardous environments, such as fires and natural disasters, lead to increased risks for responders due to the lack of reliable communication and environmental data.

Innovation Solution

A mesh sensor network system comprising a ground control station, an aircraft, and drop pods, which deploy sensors wirelessly to collect environmental data and communicate through a mesh network, enabling real-time mission planning and execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional communication systems are used in hazardous environments, then responders can maintain basic communication, but communication reliability and coordination effectiveness deteriorate due to environmental hazards and lack of mesh network capability

Engineering Contradiction:
Improvecommunication reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the communication network into multiple independent nodes including aircraft, drop pods, and ground control stations. Each node operates autonomously with mesh networking capability, allowing communication to continue even if individual nodes fail or are blocked by environmental hazards.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the communication parameter from traditional hierarchical structure to dynamic mesh network topology. This allows automatic routing optimization and adaptive communication paths that respond to environmental conditions, improving reliability without requiring complex manual configuration.

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If comprehensive sensor deployment is implemented to collect environmental data, then data collection capability improves, but deployment complexity and coordination difficulty increase

Engineering Contradiction:
Improveenvironmental data collectionVSAvoiddeployment coordination complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system implements self-service through autonomous POI identification and automatic drop pod deployment. The aircraft autonomously identifies points of interest using sensor data and automatically deploys appropriate drop pods without requiring complex ground coordination, reducing deployment complexity while maintaining comprehensive data collection.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary action by pre-configuring multiple drop pod types with different sensor arrays before deployment. This allows the system to rapidly respond to identified POIs by deploying the appropriate pre-configured pod type, eliminating the need for complex real-time coordination during deployment.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If manual coordination of assets is used in hazardous environments, then responders can maintain control over operations, but response time and coordination efficiency deteriorate

Engineering Contradiction:
Improveresponse efficiencyVSAvoidcoordination time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system implements continuous feedback loops where sensor data from the environment is automatically processed to identify POIs, which then trigger automatic deployment decisions. This closed-loop feedback system eliminates manual coordination delays while maintaining operational control through the ground control station interface.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system replaces manual mechanical coordination with automated electronic control. The ground control station sends electronic commands to the aircraft and drop pods, which execute deployments automatically based on sensor data and pre-configured parameters, eliminating the time loss associated with manual coordination procedures.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Manufacturing precision

If precise drop pod deployment is implemented to place sensors at optimal locations, then sensor placement accuracy improves, but navigation and identification complexity increase

Engineering Contradiction:
Improvedrop pod placement precisionVSAvoidPOI identification difficulty
Core Design Contradiction:
Manufacturing precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The system implements multi-functionality by equipping the aircraft with multiple sensor types (thermal, visible spectrum, barometric, anemometer) that can identify various types of POIs through different physical properties. This universal detection capability allows precise identification and deployment without requiring specialized equipment for each POI type.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses thermal imaging and other sensor copies of the physical environment to create a digital representation that identifies POIs. This allows the system to detect and measure environmental features indirectly through sensor data, reducing the difficulty of direct visual identification while maintaining placement precision.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12242288B1Autonomous drone mesh sensor deployment system
Publication Date: 2025.03.04 FLOCK GROUP INC
  • US12242288B1 patent drawing
  • US12242288B1 patent drawing
  • US12242288B1 patent drawing

AI summary

Systems, tools and methods for deploying a mesh sensor network. The system comprises one or more aircraft configured to carry one or more drop pods into an environment and the deploying of the drop pods at points of interest. The aircraft and drop pods may comprise arrays of sensors for monitoring the areas that they are operating in. The aircraft and drop pods may include mesh radio communication devices and operate as nodes in the mesh network. The location at which each drop pod is to be deployed may be determined based on the type of sensors carried by the drop pod.