Sensor Signature Profiling for Operational System Identification
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Solution Overview
Problem
Current solutions face challenges in maintaining and analyzing context metadata for sensors of operational systems, leading to difficulties in identifying and managing sensors of different makes and types.
Innovation Solution
An apparatus comprising a processor and memory, configured to receive aggregated time series sensor data and context data, generate sensor characteristic profiles for each sensor type, store these profiles in a database, and generate sensor information based on these profiles, including sensor identification, type, and context data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is aggregated and profiled across multiple sensor types and makes, then sensor identification and analysis capability is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent segments the sensor profiling process into distinct modules: data reception module, profile generation module, database storage module, and sensor identification module. Each module handles specific tasks independently, managing complexity through functional segmentation while achieving accurate sensor identification through the integrated workflow.
Solution Approach 2:
The system performs preliminary actions by pre-generating sensor characteristic profiles for multiple sensor types and makes before actual sensor identification is needed. These profiles are stored in a database in advance, enabling rapid comparison and identification without real-time computational complexity when a sensor needs to be identified.
2Adaptability or versatility
If comprehensive sensor profiles are generated and stored for multiple sensor types, then sensor discovery and analysis capability is improved, but data storage requirements and processing overhead increase
Solution Approach 1:
The patent creates simplified copies of sensor characteristics in the form of standardized profiles that capture essential sensor behavior patterns. Instead of storing complete raw sensor datasets for every sensor type, the system stores condensed profile representations that enable identification and analysis with reduced storage requirements while maintaining versatility across sensor types.
3Adaptability or versatility
If sensor data signatures are compared across different sensor makes, then cross-vendor sensor compatibility is improved, but computational processing time and resources increase
Solution Approach 1:
The system performs preliminary comparison work by pre-generating and storing sensor characteristic profiles for multiple vendor sensor types. When a sensor needs to be identified, the system compares against these pre-prepared profiles rather than performing comprehensive analysis from scratch, significantly reducing processing time while maintaining cross-vendor compatibility.
Data Source
AI summary
Sensor characteristic profiles for different sensor types for sensors of an operational system are generated based at least in part on aggregated time series sensor data from the sensors and context data for the sensors. The sensor characteristic profiles for each sensor type are stored in a sensor type profile database. Sensor information is generated based at least in part on the stored sensor characteristic profiles. Each of the sensor characteristic profiles comprises sensor type information identifying the sensor type and a sensor data signature for the sensor type. Sample sensor data from a particular sensor is used to determine information about the particular sensor based on the stored sensor characteristic profiles. Device characteristic profiles for different device types and/or virtual sensor characteristic profiles for different virtual sensors defined with respect to particular combinations of the sensors can be generated based on the stored sensor characteristic profiles.