Radar Soap Level Monitoring via Electromagnetic Reflection
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Solution Overview
Problem
Current methods for monitoring soap dispenser contents are labor-intensive, costly, and time-consuming, requiring frequent manual inspections that are difficult to access, necessitating a cost-effective automation solution.
Innovation Solution
A radar-based system that uses a radar unit with a transmitter and receiver to generate a 3D image of the soap dispenser, calculating the soap level by measuring the time interval of electromagnetic waves reflected from the soap surface, allowing for remote monitoring through dielectric walls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual inspection methods are used to monitor soap dispenser contents, then simplicity of the system is maintained, but labor intensity and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical inspection with a radar-based electromagnetic detection system. The radar unit transmits electromagnetic waves that reflect off the soap surface, allowing automated non-contact measurement of soap levels, thereby reducing labor intensity while introducing technological complexity
Solution Approach 2:
The patent introduces an intermediary radar detection system between the observer and the soap dispenser. The radar unit acts as a mediator that can detect soap levels through or around the dispenser structure, enabling remote monitoring without direct manual inspection
2Measurement precision
If frequent manual inspections are conducted, then accuracy of soap level detection is improved, but loss of time and productivity decrease
Solution Approach 1:
The radar-based system enables continuous or frequent automated monitoring without interrupting normal operations. The system can repeatedly measure soap levels at different times without requiring manual intervention, maintaining measurement precision while eliminating time loss associated with manual inspection cycles
Solution Approach 2:
The system performs self-monitoring of soap levels automatically. The radar unit continuously detects and measures soap levels without requiring human operators, allowing the dispenser system to monitor itself and trigger replenishment alerts autonomously
3Quantity of substance
If manual inspection is used, then system cost is reduced, but loss of substance (soap) due to delayed replenishment increases
Solution Approach 1:
The radar monitoring system provides continuous feedback on soap levels to the management system. When soap levels drop below predetermined thresholds, the system automatically generates alerts or triggers replenishment processes, ensuring timely restocking and preventing soap shortages without requiring expensive manual inspection systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient, automated, and cost-effective monitoring of soap dispenser levels, reducing the need for manual inspections and ensuring timely replenishment, while maintaining cleanliness in public services.
Implementation Method 1
at least one receiver unit configured to receive electromagnetic waves reflected by objects within the monitored region
Implementation Method 2
calculating the soap level by measuring the time interval of electromagnetic waves reflected from the soap surface
Implementation Method 3
A radar-based system that uses a radar unit with a transmitter and receiver to generate a 3D image of the soap dispenser
Data Source
AI summary
Systems and methods for performing body scans to ascertain body measurements of a subject. A radar based scanner may be used to generate a three dimensional image of a subject as a point cloud map of electromagnetic radiation reflected from a target region. The point cloud may be mapped to a parametric model of a standard human shape. The mapping may be optimized by adjusting parameters of the parametric model. The resulting parameters of the optimized model may be used to indicate the body measurements of the scanned subject.