Abnormality Detection Control with Segmented Secure Data Access
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Solution Overview
Problem
Existing abnormality detection systems fail to protect know-how related to predictive maintenance, as they only conceal the program but not the data during processing, leaving data vulnerable.
Innovation Solution
An abnormality detection system with a feature extraction unit, processing unit, determination unit, and authority management unit that stores sensitive data in restricted databases, while allowing state values in public databases, ensuring access is restricted and secure through identification and encryption methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If access to data during processing is restricted to protect know-how, then security of proprietary information is improved, but ease of operation deteriorates
Solution Approach 1:
The patent divides the data storage system into multiple data storage units with different access control levels. Sensitive data such as feature amounts, scores, and setting information are stored in restricted units, while less sensitive data are stored in accessible units. This segmentation allows selective protection of proprietary information while maintaining ease of access for non-sensitive operations.
Solution Approach 2:
Different access control policies are applied to different data storage units based on their sensitivity. The authority management unit implements location-specific access restrictions, allowing unrestricted access to public data while imposing strict access controls on sensitive data. This enables tailored security measures for each data type rather than uniform restriction.
2Reliability
If all data related to abnormality detection processing is concealed, then know-how protection is improved, but ease of repair deteriorates
Solution Approach 1:
The patent segments data into sensitive and non-sensitive categories, storing them in separate data storage units. This allows authorized personnel to access non-sensitive data for debugging and verification purposes while sensitive proprietary information remains protected. The segmentation enables selective transparency for maintenance activities.
Solution Approach 2:
The authority management unit acts as an intermediary that controls access to data based on authentication. For repair and debugging activities, authorized personnel can request access to restricted data through this intermediary, which verifies credentials and grants appropriate access levels. This mediator enables controlled transparency for maintenance while maintaining overall security.
Data Source
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AI summary
A control device includes: a feature extraction unit that calculates one or more feature amounts from one or more state values; a processing unit that calculates a score based on the one or plurality of feature amounts calculated by the feature extraction unit with reference to a learning model; a determination unit that generates a determination result indicating whether any abnormality has occurred in a monitoring target based on the score; a first data storage unit that stores at least one of data related to processing in the feature extraction unit and data related to processing in the processing unit; a second data storage unit that stores an arbitrary state value capable of being referred to by the control device; and an authority management unit that restricts access to the first data storage unit.