Support Vehicle Mission Computer Bandwidth Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In search and rescue missions, there is a need for efficient communication and coordination between ground teams and support vehicles, particularly in emergency situations where time is critical and mobile communications are sporadic and limited in bandwidth, requiring systems and methods to optimize the flow of intelligence and direct vehicle-mounted sensors effectively.
Innovation Solution
A system and method for collaborative vehicle mission operations that involves inputting a deployment position and mission category into a personal computing device, wirelessly communicating this information to a support vehicle equipped with sensors and a mission computer, navigating the vehicle to the deployment position, configuring sensors based on a predefined mission profile, and preprocessing sensor data to transmit only relevant information to the ground crew.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed communications are composed and transmitted between ground teams and support vehicles, then coordination of mission roles and operational efforts is improved, but bandwidth consumption increases and team members must turn their attention away from their current environment
Solution Approach 1:
The system extracts only the essential mission coordination information from the full sensor data stream. The mission computer identifies and transmits only the critical subset of data needed for coordination, separating essential information from unnecessary data to reduce bandwidth consumption while maintaining effective mission coordination.
Solution Approach 2:
The system changes the parameter of data transmission by processing sensor data locally and transmitting only summarized or extracted relevant parameters rather than raw data streams. This transformation reduces the quantity of transmitted information while preserving the essential mission coordination content.
2Loss of information
If sensor data is transmitted in real-time from support vehicles to ground teams, then situational awareness is improved, but communication bandwidth requirements increase significantly
Solution Approach 1:
The mission computer on the support vehicle performs preliminary processing of sensor data before transmission. By pre-processing and extracting only the relevant situational awareness information, the system reduces the volume of data that needs to be transmitted while ensuring that ground teams receive the essential information they need.
Solution Approach 2:
The system extracts only the essential situational awareness data from the complete sensor data stream. The mission computer identifies and transmits only the critical subset of information needed for situational awareness, separating essential data from unnecessary information to reduce bandwidth consumption.
3Loss of information
If mission operators prepare and deploy resources in advance, then mission coordination is improved, but response time to emergency situations increases
Solution Approach 1:
The support vehicle's mission computer autonomously processes sensor data and identifies relevant information without requiring extensive pre-mission preparation or manual coordination. The system serves itself by automatically determining what information is relevant and transmitting it, enabling rapid response to emergency situations while maintaining effective mission coordination.
Solution Approach 2:
The system performs preliminary configuration of the mission computer and sensor operations based on the selected mission profile, but allows for dynamic adaptation during the mission. This enables rapid deployment to emergency situations while maintaining coordinated mission operations through automated real-time data processing.
4Reliability
If team members focus on their current dynamic environment, then mission safety is improved, but communication and coordination with support vehicles deteriorates
Solution Approach 1:
The mission computer extracts only the essential coordination information that ground team members need to know to maintain safety. By transmitting only critical data rather than comprehensive sensor streams, team members can stay focused on their environment while still receiving the necessary coordination information.
Solution Approach 2:
The system transforms the coordination communication by processing data locally and transmitting only essential parameters rather than raw sensor data. This change in data representation allows team members to maintain focus on their dynamic environment while still receiving adequate coordination information for safety.
Data Source
AI summary
Systems and Methods for Collaborative Vehicle Mission Operations are provided. In one embodiment, a method to facilitate collaborative vehicle mission operations comprises: inputting a deployment position and a selected mission category into a mission crew personal computing device; wirelessly communicating the deployment position and the selected mission category to a support vehicle, the support vehicle comprising a mission sensor and a mission computer; receiving the deployment position at a navigation system onboard the vehicle and navigating the vehicle to the deployment position; configuring the operation of the mission sensor and mission computer as defined by a predefined mission profile stored onboard the vehicle; preprocessing sensor measurements from the sensor to extract a subset of data defined as relevant to the mission category based on the predefined mission profile; and transmitting the subset of data defined as relevant to the selected mission category to the mission crew personal computing device.