Device Behavior Profile Generation for Abnormal Operation Detection
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Solution Overview
Problem
Industrial and electronic devices operate independently, lacking a mechanism to share and analyze their digital behavior, making it difficult to detect abnormal operations or provide maintenance alerts.
Innovation Solution
A system and method for generating device profiles based on digital behavior, allowing for the creation of device and population profiles that can be compared to identify abnormal behavior and provide alerts, using a content server to store and analyze data from multiple devices, applying social networking principles to device networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices operate independently without networking, then device complexity is reduced, but the ability to detect abnormal behavior and provide maintenance alerts deteriorates
Solution Approach 1:
The patent introduces a server as an intermediary that receives digital voice data from multiple devices, processes the data to generate behavior profiles, and compares device behavior against these profiles to detect abnormalities. This intermediary approach enables centralized analysis without requiring complex peer-to-peer device communication, thus improving reliability while managing complexity.
2Reliability
If devices share and analyze digital behavior data across a network, then maintenance alert capability is improved, but data processing complexity increases
Solution Approach 1:
The server acts as a central intermediary that handles all data processing tasks including receiving digital voice data, generating behavior profiles through analysis, and comparing device behavior against profiles. This concentrates data processing complexity in a dedicated system rather than distributing it across individual devices, enabling maintenance alert capability while managing processing complexity centrally.
Solution Approach 2:
The patent segments the data processing function into distinct components: digital voice data collection from devices, behavior profile generation through analysis, and abnormal behavior detection through comparison. This segmentation allows each processing stage to be handled independently by the server system, making the overall complex process more manageable and efficient.
3Measurement precision
If individual device digital behavior is analyzed in isolation, then analysis simplicity is maintained, but abnormal behavior detection accuracy deteriorates
Solution Approach 1:
The patent merges digital voice data from multiple devices to create aggregated behavior profiles that represent normal operational patterns across a population of devices. By combining data from multiple sources, the system establishes more accurate baseline profiles for comparison, thereby improving abnormal behavior detection accuracy while the server manages the complexity of aggregated data analysis.
Data Source
AI summary
A method and system for generating a digital profile defined by digital behavior expressed by a device includes receiving digital behavior data and identifying information defined by a device in communication with a content server, generating a device profile for the device, associating the device with at least one device population, and generating a population profile defined by the device population. The device profiles and population profiles may be made accessible to users of a social network. Related contents, including identifying information, device behavior analysis, comparative ratings, service and diagnostic information, messages and alerts may be associated with a device profile or population profile and published to the social network. A population profile may define normal digital behavior of the population, such that the population profile may be compared with the device profile of a device, to determine whether the device operation is abnormal with respect to the population profile.