Multi-Point Sensor Placement Using Merged Reference Values
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Solution Overview
Problem
Manufacturers face challenges in determining the most effective locations for sensors on production machines to monitor malfunctions, which can impact production line operations and product yields.
Innovation Solution
A multi-point measurement system and method that uses a plurality of sensors attached to measuring points on a device under testing, with a computing device for data preprocessing, analysis, and determination of suitability through a learning module to identify optimal sensor placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are disposed at multiple locations to monitor manufacturing device, then monitoring coverage is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The manufacturing device itself is used to determine suitable sensor locations. The device's operational data and characteristics are analyzed to identify optimal measuring points, allowing the system to self-determine the best monitoring configuration without external expert intervention.
Solution Approach 2:
The system evaluates multiple parameters including vibration amplitude, frequency, temperature changes, and operational load to determine suitable sensor locations. By analyzing changes in these physical parameters during device operation, the system identifies points that provide the most informative monitoring data.
2Measurement precision
If data analysis is performed on sensor readings to identify optimal measuring points, then measurement precision is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs data analysis on a selected subset of sensor readings rather than all possible data. By focusing analysis on critical parameters and key time periods during device operation, the system achieves sufficient measurement precision without requiring exhaustive processing of all available data.
Solution Approach 2:
The system performs preliminary analysis during device operation to identify potential measuring points before final sensor installation. This preliminary identification phase allows for quick evaluation of multiple locations, and only the most promising points are selected for detailed analysis and permanent sensor placement.
Data Source
AI summary
A multi-point measurement system and a multi-point measurement method are provided. The multi-point measurement system is for measuring a device under testing and comprises a plurality of sensors and a computing device. The sensors are respectively attached to a plurality of measuring points of the device under testing. The computing device comprises a computing unit and a storage unit; the computing unit comprises a learning module, and the computing device establishes communication connections to the sensors respectively. The sensors generate original sensing data and transmit them to the storage unit for storage. The computing unit inputs processed sensing data obtained by preprocessing the original sensing data into the learning module for data analysis, and obtains a plurality of reference values corresponding to the sensors respectively. At least two adjacent sensors form a group; the computing unit sequentially inputs the processed sensing data corresponding to the sensors in the group into the learning module for a merge operation, and obtains a plurality of merged reference values corresponding to the groups respectively. The computing unit performs a determination operation using the merged reference values corresponding to each group and the reference values corresponding to the sensors in the group and generates a suitability determination for the measuring points.