Hybrid Sensor Modeling for Optimal Placement
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Solution Overview
Problem
Existing sensor installation methods face challenges in obtaining accurate state information due to physical restrictions, such as structural, safety, and environmental conditions, which limit the ability to approach certain locations or collect data effectively.
Innovation Solution
A system and method for modeling a hybrid sensor that uses a hybrid modeling scheme to derive an optimal sensor arrangement within a space or equipment by combining physical and virtual sensors, allowing for high-fidelity data collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical sensors are installed at specific locations to obtain accurate state information, then measurement precision is improved, but device complexity and installation difficulty increase due to physical restrictions
Solution Approach 1:
The patent creates a virtual sensor that copies the sensing function of physical sensors through hybrid modeling. The virtual sensor model replicates the behavior and characteristics of physical sensors, allowing data collection from locations that are difficult or impossible to access physically, thereby improving measurement precision without increasing installation complexity
Solution Approach 2:
The patent introduces a hybrid modeling scheme as an intermediary between physical sensors and the data collection system. This intermediary layer processes and integrates data from multiple physical sensors to create virtual sensor readings, enabling accurate state information acquisition while simplifying the overall sensor arrangement by reducing the need for direct physical sensor installation at every measurement point
2Area of stationary object
If more physical sensors are installed to maximize sensing area, then measurement coverage is improved, but construction costs and installation difficulty increase
Solution Approach 1:
The patent merges data from multiple physical sensors to create virtual sensor readings that cover a larger sensing area than any single physical sensor could provide. By combining information from sensors installed at feasible locations, the system achieves extended measurement coverage without the need to physically install sensors in every desired location, thereby reducing construction costs while maximizing sensing area
Solution Approach 2:
The patent transitions from a purely physical sensor deployment approach to a hybrid approach that adds a virtual dimension to sensor placement. Virtual sensors can be positioned in spatial locations that would be difficult or expensive to access physically, effectively extending the sensing area into previously inaccessible dimensions without incurring additional installation costs
3Device complexity
If virtual sensors are used to reduce installation complexity, then device complexity is reduced, but data accuracy between virtual and actual data increases
Solution Approach 1:
The patent implements a feedback mechanism where the hybrid modeling system continuously compares virtual sensor readings with actual physical sensor data. This feedback loop allows the system to validate and adjust the virtual sensor model, ensuring that virtual sensor data maintains high accuracy by constantly referencing real-world measurements, thereby resolving the accuracy issue while maintaining low installation complexity
Data Source
AI summary
A method of modeling a hybrid sensor is proposed. The method may include receiving information on at least one physical sensor that is disposed within a target space, disposing at least one virtual sensor within the target space, and obtaining sensing data of the virtual sensor and converting the sensing data into visualization information. The method may also include analyzing matching between an additionally disposed physical sensor and the virtual sensor when the physical sensor is additionally disposed at a location of any one of the disposed virtual sensors. The method may further include correcting the weight of the sensing data of the virtual sensor based on results of the analysis of the matching.