Substrate Object Detection Sensor with Plan View Display
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Solution Overview
Problem
Existing object detection devices in substrates require multiple parallel measuring tracks to achieve spatial orientation, leading to increased operator effort and delayed real-time depth cross-sectional image display, which hampers efficient detection of objects like power lines.
Innovation Solution
The method involves simultaneous reception of multiple receive signals by a sensor unit, allowing for simultaneous calculation and display of multiple depth cross-sectional images, along with a plan view that provides direct spatial orientation, adjustable threshold values, and interpolation for enhanced resolution, using multiple sensor units with different properties to detect objects at various depths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple parallel measuring tracks are used to achieve spatial orientation, then the operator obtains spatial orientation of object locations, but the operator effort increases and the detection process becomes more complex
Solution Approach 1:
The patent combines multiple depth cross-sectional images from parallel measuring tracks into a single plan view display. This merging of multiple images provides comprehensive spatial orientation information while simplifying the operator's task by presenting all data in one unified view rather than requiring separate analysis of multiple tracks.
Solution Approach 2:
The patent transitions from displaying multiple two-dimensional depth cross-sectional images to a single two-dimensional plan view that represents three-dimensional spatial relationships. This dimensional transformation allows the operator to perceive spatial orientation of objects at different depths and locations simultaneously without the complexity of analyzing multiple separate tracks.
2Speed
If depth cross-sectional images are displayed sequentially from parallel measuring tracks, then real-time detection is maintained, but the operator lacks spatial orientation about object locations
Solution Approach 1:
The patent merges multiple depth cross-sectional images acquired from parallel measuring tracks into a single plan view that is updated in real-time. This combination maintains the speed of real-time detection while providing complete spatial orientation information about all objects detected across different measuring tracks.
Solution Approach 2:
The plan view is continuously updated as the detecting device moves through parallel measuring tracks, maintaining uninterrupted real-time detection. The continuous merging and display of data from multiple tracks ensures both real-time performance and complete spatial information without interruption or delay.
3Area of stationary object
If multiple sensor elements are used to simultaneously receive signals and calculate multiple depth cross-sectional images, then detection coverage and spatial orientation are improved, but device complexity increases
Solution Approach 1:
The sensor unit is designed with multiple sensor elements that can simultaneously perform detection across different areas and depths. Each sensor element contributes to the overall detection coverage, and the control and evaluation unit processes signals from all elements to generate comprehensive depth cross-sectional images and plan views, making the system multi-functional without proportionally increasing complexity.
Solution Approach 2:
The detection system is segmented into multiple independent sensor elements that can be individually positioned and configured. This segmentation allows each element to cover specific areas or depths, and the combined data from all segments provides comprehensive coverage while maintaining manageable complexity through modular processing in the control and evaluation unit.
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
This approach reduces operator effort by providing real-time, spatially oriented object detection across larger areas with increased reliability and resolution, specifically enhancing the detection of power lines by combining data from multiple sensor types.
Implementation Method 1
The sensor unit has at least one sensor element for receiving a receive signal from an object in the substrate
Implementation Method 2
The control and evaluation unit is designed to calculate, from the receive signal, a depth cross-sectional image through the substrate in a detection plane parallel to the surface of the substrate
Data Source
AI summary
A method and device for detecting an object in a substrate is disclosed. The device has a sensor unit having a sensor element and at least one further sensor element, a control and evaluation unit, and a display unit. The method for detecting an object in a substrate includes simultaneous reception of a receive signal and at least one further receive signal and simultaneous calculation of a depth cross-sectional image from the receive signal and at least one further depth cross-sectional image from the at least one further receive signal by the control and evaluation unit.