Measurement System Integrity Protection via Component Signature
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Solution Overview
Problem
Existing methods for checking the integrity of measurement systems are inefficient and prone to errors due to reliance on manual checks and incomplete documentation, leading to potential unauthorized changes and measurement inaccuracies.
Innovation Solution
A method that automatically reads and combines information from measurement system components, generates a signature for stored data, and uses public-key cryptography to ensure the integrity and security of the measurement system, including components without built-in identification functionality by associating them with local storage devices for automatic tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual check methods are used to verify measurement system integrity, then implementation simplicity is maintained, but reliability and accuracy of integrity checks deteriorate due to human error and incomplete documentation
Solution Approach 1:
The system performs preliminary actions by automatically collecting and storing identification information from all measurement system components during initial setup or calibration. This pre-collected data is then used for subsequent integrity verification, eliminating the need for manual checks and ensuring consistent, reliable verification without human error.
Solution Approach 2:
The measurement system performs self-verification by automatically reading identification information from its own components and comparing it against stored reference data. The system independently checks its own integrity without requiring external manual intervention, improving reliability while maintaining operational simplicity.
2Productivity
If automatic data collection from all measurement system components is implemented, then integrity check efficiency and reliability improve, but device complexity and implementation difficulty increase
Solution Approach 1:
The system employs universal identification mechanisms that can be applied to all types of measurement system components regardless of their specific function. By using a standardized approach to collect and verify identification information from diverse components (sensors, actuators, processing units), the system achieves high efficiency without proportionally increasing complexity.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated electronic data collection and comparison systems. Electronic reading of identification information from component memory or identifiers substitutes for physical manual inspection, dramatically improving efficiency while the automated nature of the process manages the complexity through standardization.
3Measurement precision
If comprehensive documentation of all measurement system components is maintained, then measurement accuracy and traceability improve, but time consumption and operational complexity increase
Solution Approach 1:
All identification and calibration information is collected and stored in advance during system setup or component installation. This preliminary documentation is then automatically retrieved and verified during operation without requiring real-time manual documentation, ensuring measurement accuracy while eliminating time consumption during actual measurement processes.
Solution Approach 2:
The measurement system automatically maintains and verifies its own documentation by reading identification information from components and comparing it against stored reference data. This self-maintained documentation ensures traceability and measurement accuracy without requiring external personnel time for documentation management.
Data Source
AI summary
The disclosure describes a method of protecting a measurement system from unauthorized changes. The method comprises automatically reading out a plurality of information items from the measurement system, wherein the measurement system comprises a plurality of measurement system components and at least one local storage device, wherein the plurality of information items include at least one of identity of the measurement system components or at least one characteristic of the measurement system components; automatically combining the read out information items of each of the plurality of the measurement system components into a data collection and generating a summary data which represents the data collection; creating a signature based on the summary data; and storing the summary data and the signature in the at least one local storage device of the measurement system. This method provides more efficient and secure protection of measurement system and its components from an unauthorized change.