Connection Element Vibration Sensing for Installation Error Detection
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Solution Overview
Problem
Industrial automation systems require numerous installation steps that are prone to errors, which are difficult to trace and diagnose, leading to impaired functionality and high diagnostic costs.
Innovation Solution
A method involving vibration sensors integrated into connection elements to detect and diagnose specific installation actions by analyzing vibration data, using pattern recognition algorithms to identify correct or incorrect installation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If vibration sensors are integrated into connection elements to detect installation actions, then installation process monitoring capability is improved, but device complexity increases
Solution Approach 1:
The patent combines the vibration sensor directly into the connection element (plug or socket), merging the monitoring function with the existing structural component. This integration approach allows installation action detection without adding separate external monitoring devices, thus improving detection capability while controlling complexity through functional consolidation.
Solution Approach 2:
The connection element performs self-monitoring by incorporating the vibration sensor within its own structure. The sensor detects installation actions occurring at the connection point and generates signals that can be evaluated to determine whether proper installation was achieved, enabling the component to monitor its own installation status without external intervention.
2Measurement precision
If vibration data is analyzed using pattern recognition algorithms, then installation action recognition accuracy is improved, but processing time increases
Solution Approach 1:
The patent stores reference vibration patterns (signatures) representing correct and incorrect installation actions in advance within the control device or external system. During installation monitoring, the actual vibration data is compared against these pre-stored patterns using pattern recognition algorithms, enabling rapid accurate identification of installation status without requiring complex real-time analysis from scratch.
Solution Approach 2:
The system provides immediate feedback by evaluating vibration data against stored patterns and communicating the installation status (correct/incorrect) back to the user or control system. This feedback mechanism enables real-time monitoring and verification of installation actions, allowing for immediate correction if improper installation is detected.
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 identification and diagnosis of installation actions, simplifying installation and maintenance by providing real-time feedback and documentation of installation processes.
Implementation Method 1
Determining vibration data, preferably digital vibration data, wherein the vibration data results from a sensory detection of at least one of the one or more connection elements and/or at least one of the one or more connecting means
Data Source
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AI summary
The invention relates to a method (100) for detecting at least one installation action in an industrial installation (1), in particular an electrical machine and/or an industrial automation installation, in which a connection of components (80) of the installation (1) in the field is provided by one or more connection elements (10), in particular modules (10), and via one or more connecting means (90).