Signal Synchronization Using Domain Knowledge Without Time Stamps
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Solution Overview
Problem
Current machine control systems lack an interface to enable high-precision, temporal mapping of machine signals from internal and external sensors, preventing effective synchronization and analysis of independent, non-synchronized data sources.
Innovation Solution
A method and system for synchronizing signals by recording data from multiple independent data sources, using domain knowledge to analyze and temporally link signal traces without time stamps, enabling real-time synchronization and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If data is recorded from multiple independent data sources without time synchronization, then data recording simplicity is improved, but temporal alignment precision deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining domain knowledge models that describe expected temporal relationships between signals from different data sources. These models are established before actual data recording occurs, enabling post-hoc temporal alignment without requiring synchronized clocks during data collection. The domain knowledge models serve as pre-prepared reference frameworks that guide the temporal linking process.
Solution Approach 2:
The patent introduces domain knowledge models as an intermediary between raw signals from independent data sources and the temporal alignment process. These models act as mediators that translate physical domain understanding into temporal relationship constraints, enabling the system to synchronize signals without direct time synchronization hardware. The intermediary models bridge the gap between independent data sources and unified temporal analysis.
2Measurement precision
If time synchronization interfaces are added to machine control systems, then temporal alignment capability is improved, but system complexity increases
Solution Approach 1:
The patent replaces mechanical/time-synchronization hardware interfaces with a software-based solution using domain knowledge models. Instead of adding physical synchronization interfaces to machine control systems, the invention uses computational models that represent temporal relationships based on physical domain understanding. This substitution eliminates the need for additional hardware while achieving temporal alignment capability.
Solution Approach 2:
The system performs self-service by using its own domain knowledge models to automatically establish temporal relationships between signals. The analysis device autonomously applies pre-defined physical models to align signals from independent data sources without requiring external synchronization infrastructure. The system serves its own temporal alignment needs through embedded domain knowledge rather than external control systems.
3Measurement precision
If domain knowledge models are used for signal analysis, then error detection accuracy is improved, but analysis complexity increases
Solution Approach 1:
The patent transforms complex physical domain knowledge into standardized model parameters that can be systematically applied to signal analysis. By representing domain knowledge as configurable parameters within formal models, the system enables accurate error detection through parameter-based analysis rather than complex custom algorithms. The parameterized models allow flexibility in adapting to different machine contexts while maintaining analytical rigor.
Data Source
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AI summary
The invention relates to a method for synchronising signals which are related to a technical system, in particular a machine and/or a machining process, which method comprises the following method steps: a. recording data from a first data source in order to obtain a first signal track (8), b. recording data from at least a second data source, which is independent of the first data source, in order to obtain at least a second signal track (9), characterised by c. analysing the signal tracks (8, 9) on the basis of previously known domain knowledge, d. temporally linking the signal tracks (8, 9).