Sensor Positioning via Augmented Reality and Environmental Data
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Solution Overview
Problem
The random placement of sensors in environments like indoor rooms often requires more devices to accurately monitor variables such as temperature distribution, leading to inefficiencies and increased costs, as existing methods lack effective guidance for optimal sensor positioning.
Innovation Solution
The use of augmented reality on mobile devices to interactively support the placement of sensors, coupled with environmental data reception and optimization functions, ensures optimal positioning and cost-effective sensor deployment by determining the best location for sensor devices based on desired functions and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If sensors are placed randomly in the room, then the placement process is simple and quick, but more sensors are required to achieve accurate monitoring
Solution Approach 1:
The system performs preliminary calculation of optimal sensor positions using environmental data and optimization functions before actual sensor deployment. The computing unit determines suitable positions based on desired monitoring functions, energy consumption considerations, and communication requirements, allowing sensors to be placed precisely where needed rather than requiring multiple random placements
Solution Approach 2:
An intermediary system consisting of a detection device, computing unit, and output device is introduced between the random placement approach and the sensor deployment. This intermediary calculates and communicates optimal positions to the user, enabling placement with fewer sensors while maintaining monitoring accuracy
2Measurement precision
If more sensors are deployed to ensure accurate monitoring coverage, then monitoring precision is improved, but system cost and complexity increase
Solution Approach 1:
The system changes the parameter of sensor quantity by using optimization functions that consider energy consumption, communication requirements, and monitoring objectives. The computing unit calculates the minimal number of sensors needed to achieve desired monitoring precision, reducing system complexity while maintaining measurement accuracy through intelligent parameter optimization
3Use of energy by moving object
If sensors are placed to optimize communication links and energy consumption, then energy efficiency is improved, but placement complexity increases
Solution Approach 1:
The system performs self-service by automatically calculating optimal sensor positions that minimize energy consumption and optimize communication links. The computing unit evaluates energy consumption functions and communication requirements, then determines suitable positions without requiring manual intervention, reducing placement complexity while improving energy efficiency
Data Source
AI summary
A device for ascertaining a suitable position of a sensor device for detecting a measured variable includes: a detection device for detecting environmental data in a surrounding area of the sensor device; a computing unit for ascertaining the suitable position of the sensor device based on the detected environmental data and the measured variable; and an output device for displaying the ascertained suitable position of the sensor device.