Sensor Task Routing for Area Measurement
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Solution Overview
Problem
Existing sensor systems face delays in identifying and measuring areas of interest due to manual processes, leading to missed data collection opportunities and slow dissemination of sensor data.
Innovation Solution
A sensor management system that automatically generates and routes sensor tasks to appropriate sensors, enabling rapid direction of sensors to measure areas of interest based on sensor type and motion tracks, thereby improving the efficiency of sensor data collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual processes are used to identify and measure areas of interest, then system complexity is reduced, but response time increases and data collection opportunities are missed
Solution Approach 1:
The system pre-generates sensor tasks and maintains a ready pool of sensor assignments before areas of interest are identified. When an area of interest is detected, pre-configured sensor tasks can be immediately activated and routed to appropriate sensors, eliminating the delay of manual task creation and assignment while maintaining manageable system complexity through automated preparation.
2Productivity
If automated sensor task generation and routing is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The automated sensor management system is divided into distinct functional modules: sensor task generation module, sensor routing module, and sensor execution module. Each module handles a specific aspect of the process independently, allowing the system to achieve high productivity through automation while managing complexity by separating concerns and enabling independent optimization of each component.
Solution Approach 2:
An automated sensor manager acts as an intermediary between area of interest identification and sensor execution. This intermediary component automatically generates sensor tasks, routes them to appropriate sensors based on sensor capabilities and current state, and coordinates measurements without requiring direct manual intervention, thereby increasing productivity while encapsulating system complexity within a single management layer.
3Loss of time
If sensors are rapidly directed to measure areas of interest, then loss of time is reduced, but measurement precision may be compromised due to rushed processes
Solution Approach 1:
The system incorporates feedback mechanisms where sensor task execution status, sensor position, and measurement quality metrics are continuously monitored. This feedback allows the automated sensor manager to adjust task parameters, re-route sensors if conditions change, or extend measurement duration when precision requirements indicate it's necessary, thereby maintaining measurement accuracy even under time-constrained automated operations.
Data Source
AI summary
For measuring an area of interest based on a sensor task, a method generates a sensor task comprising a sensor type and an area of interest. The method further routes the sensor task to a sensor of the sensor type and with a sensor motion track that includes the area of interest. The method measures the area of interest with the sensor based on the sensor task.