Sensor Position Identification via Three-Axis Signal Analysis
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Solution Overview
Problem
The increasing number of sensors in Industry 4.0 and smart machinery environments leads to confusion in identifying sensor positions, and existing methods require embedded devices with pre-stored information, making them prone to installation errors.
Innovation Solution
An identification system using feed systems with sliding members and sensors that generate three-dimensional coordinate systems, analyzing three-axis signals to determine sensor positions without pre-installed embedded devices, by defining corresponding relationships and signal features to identify installation directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensors are installed on sliding members without pre-stored embedded devices, then installation errors are reduced and automation is improved, but the complexity of signal analysis increases
Solution Approach 1:
The sensor assembly units self-identify their installation positions by generating and analyzing their own three-axis signals during movement. The system uses the inherent motion characteristics and signal patterns of each sliding member to automatically determine sensor positions without requiring external embedded identification devices or manual configuration.
Solution Approach 2:
The system uses signal feature patterns (analogous to color changes) to identify different sensor installation positions. By analyzing the characteristics of three-axis signals generated during movement, the system can distinguish between different sliding members and determine which sensors are installed where, similar to how different colors can indicate different positions or states.
2Ease of operation
If embedded devices with pre-stored information are used for identification, then sensor position identification is simplified, but installation errors increase and reliability decreases
Solution Approach 1:
The system replaces mechanical embedded identification devices with a signal-based identification approach. Instead of using physical tags, barcodes, or embedded memory devices that require manual reading and configuration, the system uses the dynamic three-axis signals generated by moving sensors to automatically identify installation positions, eliminating manual intervention and associated errors.
Solution Approach 2:
The three-axis signal serves as an intermediary carrier of identification information. Rather than directly reading from embedded devices or manually configuring sensor positions, the system uses the motion-generated signals as a mediator that encodes position information, which can be automatically decoded to determine sensor installation locations.
3Quantity of substance
If multiple sensors of the same type are used, then measurement coverage is improved, but position identification becomes confused
Solution Approach 1:
The system segments the identification problem by analyzing three-axis signals from each sliding member separately. By processing signals from each sensor assembly unit independently and comparing their unique signal patterns, the system can distinguish between multiple identical sensors and determine their specific installation positions, preventing information loss despite having numerous sensors.
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 accurate and automatic identification of sensor positions without pre-installed devices, reducing installation errors and enhancing clarity in sensor status determination.
Implementation Method 1
each of the sensors defines a three-dimensional coordinate system and forms a three-axis signal
Data Source
AI summary
A method for identifying installation positions of sensors, which predefines the corresponding relationship between the first sliding member, the second sliding member and the signal features according to the installation directions of the sensors, and then drives the first sliding member and the second sliding member of one of the feed systems to move to obtain and analyze the three-axis signals fed back from the sensors, firstly select responsive three-axis signals, and then determine the axis with the largest response of the three-axis signals so as to identify the sensor installed on the first sliding member. Then, the corresponding relationship between the remaining three-axis signals and the sensors installed on the second sliding members is identified based on the dynamic signal feature and the static signal feature, so as to achieve the purpose of automatically identifying the installation position of the respective sensors.