Handheld Object Locator With Dynamic Threshold Segmentation
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Solution Overview
Problem
Existing object localization devices often struggle with precise localization and safe drilling due to ambiguous warning levels, as they either provide overly broad warnings or fail to accurately detect objects with signals below a fixed threshold, leading to potential hazards.
Innovation Solution
A method that generates three discrete warning levels ('Object detected', 'Object nearby', and 'No object detected') using a dynamic threshold system, allowing for precise localization and clear danger indication through adaptive signal processing and color-coded output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed threshold system is used for object detection, then the device structure is simple, but the measurement precision and reliability are reduced due to ambiguous warning levels and inability to detect objects with signals below the threshold
Solution Approach 1:
The detection system segments the warning output into three distinct levels (first, second, and third warnings) corresponding to different object distances. This segmentation allows the system to provide more precise localization information by distinguishing between objects at different ranges, thereby improving measurement precision without significantly increasing overall system complexity.
Solution Approach 2:
The system transitions from a static fixed threshold to a dynamic evaluation system that continuously compares current sensor signals with stored reference values. This dynamic approach enables the system to adapt to varying signal conditions and provide more accurate object detection and localization, resolving the contradiction between simple structure and precise measurement.
2Ease of operation
If a fixed threshold is used for object detection, then the device operation is simple, but the reliability is reduced due to potential hazards from missed detections and misinterpretation
Solution Approach 1:
The warning system is segmented into three distinct levels that provide progressively more urgent alerts. This segmentation enhances reliability by reducing misinterpretation - users can clearly distinguish between different danger levels, making operation safer without significantly complicating the user interface or操作流程.
Solution Approach 2:
The system implements feedback by storing reference signal values and comparing current readings against these references to generate appropriate warning levels. This feedback mechanism improves reliability by providing continuous, adaptive monitoring that reduces missed detections while maintaining simple operation through automated signal processing.
3Device complexity
If a single warning level is used, then the device complexity is low, but the loss of information occurs due to ambiguous warning levels that cannot distinguish between different object distances
Solution Approach 1:
The warning system segments information about object distance into three distinct levels. Instead of providing a single ambiguous warning, the system now communicates specific distance information through differentiated warning levels, thereby reducing information loss about object location while keeping the system relatively simple.
Solution Approach 2:
The system changes the parameter of warning intensity based on the detected signal strength and object distance. By varying the warning level (first, second, or third) according to the measured parameters, the system preserves and communicates distance information without requiring complex additional sensors or processing.
4Measurement precision
If the detection threshold is lowered to detect weaker signals, then the detection sensitivity is improved, but the device complexity increases due to need for adaptive threshold adjustment
Solution Approach 1:
The system performs preliminary action by storing reference signal values before actual object detection begins. These pre-stored references serve as the basis for subsequent comparisons, enabling the system to detect weaker signals with improved sensitivity without requiring complex real-time threshold adjustment mechanisms.
Solution Approach 2:
The system uses itself to generate the threshold references through initial measurements and signal processing. By leveraging its own sensor capabilities and signal processing algorithms to create adaptive thresholds, the system improves detection sensitivity while avoiding the need for external calibration equipment or complex adjustment mechanisms.
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 precise localization of objects and safe drilling by providing clear, unambiguous warnings, reducing the risk of misinterpretation and ensuring accurate detection of objects, even when signals are below a fixed threshold.
Implementation Method 1
a measurement signal UM which makes it possible to obtain information about the position of the enclosed object 12 is generated. This signal is, for example, a voltage induced in a receiving conductor loop system of a sensor
Data Source
Figure 1
Figure 2a~2b
Figure 3a~3b
AI summary
The invention relates to a method for localizing objects (12) enclosed in a medium (10) in which a measurement signal (UM) correlated to the enclosed object (12) is generated and is used to produce a signal (Z) for transmission to a user, which signal allows at least a distinction between a first state "Object detected" (Z=a) and at least one second state "no object detected" (Z=b). The invention proposes that a third state "Object close by" (Z=c) be provided. Furthermore, the invention relates to a measuring device, particularly a hand-held locating device, for carrying out the method according to the invention.