Object Detection Sensor Automatic Signal Learning
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Solution Overview
Problem
Conventional automatic door systems require cumbersome manual settings for matching test signal characteristics during installation, increasing the complexity and time required for safety control setup.
Innovation Solution
An object detection sensor with a learning mode that automatically determines and verifies test signal characteristics, reducing the need for manual settings by enabling automatic matching of signal characteristics between transmitting and receiving sides, and allowing for reduced wiring through shared signal lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual setting of test signal characteristics is performed to match transmitting and receiving sides, then safety control reliability is improved, but installation complexity and time increase
Solution Approach 1:
The receiving side sensor automatically performs self-learning by receiving test signals from the transmitting side and autonomously adjusting its signal characteristics to match. This eliminates the need for manual matching settings while ensuring safety control reliability, as the system self-configures the optimal signal parameters during installation.
Solution Approach 2:
The transmitting side generates and transmits test signals before normal operation begins. These preliminary test signals enable the receiving side to learn and adapt its characteristics in advance, so that when normal operation starts, the signal matching is already established without requiring manual intervention.
2Measurement precision
If manual matching of signal characteristics is performed, then safety control accuracy is improved, but installation time increases
Solution Approach 1:
The receiving side sensor autonomously performs signal characteristic learning by processing incoming test signals and automatically adjusting its parameters. This self-service mechanism achieves accurate signal matching without requiring installer intervention, thereby maintaining measurement precision while dramatically reducing installation time.
Solution Approach 2:
The manual mechanical adjustment process for signal matching is replaced with an automated electronic learning system. The sensor electronically adapts its characteristics through programmed learning algorithms, substituting the time-consuming manual tuning process with rapid automated parameter optimization.
3Reliability
If separate signal lines are used for test signals and detection signals, then signal interference is avoided, but wiring complexity increases
Solution Approach 1:
The patent combines the test signal line and detection signal line into a single shared bidirectional communication channel. During installation, the line carries test signals from transmitter to receiver; during normal operation, it carries detection signals in the reverse direction. This merging eliminates separate wiring while maintaining signal integrity through temporal separation of signal types.
Solution Approach 2:
The system uses periodic time-division multiplexing where the shared signal line alternates between carrying test signals during the learning phase and detection signals during normal operation. This periodic switching ensures that only one signal type is present on the line at any given moment, preventing interference while utilizing a single wire.
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 configuration simplifies the installation process by automating the setting of safety control parameters, reducing the workload and time needed for setting up safety controls, and providing real-time abnormality detection.
Implementation Method 1
detect to-be-detected rays such as infrared rays from a target object to output a predetermined detection signal
Data Source
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AI summary
The object detection sensor includes: a sensing unit to detect to-be-detected rays from a target object to output a sensing signal, a control unit to command output of a predetermined detection signal in response to input of sensing signal, a sensor output to output predetermined detection signal in response to command, a test signal reception to receive a test signal, and a test signal response to output a test response signal in response to reception of test signal, and further includes: a learning mode transition input to start a learning mode, a test signal determination to determine a state of received test signal in learning mode, a test signal estimation to estimate a characteristic of test signal from determined state of test signal, and a test signal verification to verify whether estimated characteristic of test signal is included in test signal received by test signal reception.