Robot Movement Pattern Monitoring for Abnormal Operation Detection
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Solution Overview
Problem
There is a need for a method to securely identify abnormal operations in robot devices within private spaces, such as households, to prevent privacy invasions and unauthorized access, as existing technologies fail to effectively detect and respond to hacking or abnormal access attempts.
Innovation Solution
An electronic apparatus with a communication interface, sensor, and processor that compares the movement pattern of a robot device to stored normal operation patterns, using signal strength and sensing data to identify whether the operation is normal or abnormal, and provides feedback through a user terminal device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If robot devices operate autonomously in private spaces, then convenience and automation are improved, but security risks and privacy invasion concerns increase
Solution Approach 1:
The system continuously monitors robot device operations by comparing real-time movement patterns against stored normal patterns, providing feedback when abnormal operations are detected. This feedback mechanism enables the system to respond to security threats while maintaining autonomous operation, resolving the contradiction between automation and security.
Solution Approach 2:
The electronic apparatus acts as an intermediary security layer between the autonomous robot device and the private space environment. It monitors and analyzes robot operations without interfering with normal autonomous functions, only intervening when abnormal patterns indicate security threats.
2Reliability
If movement pattern monitoring is implemented to detect abnormal operations, then security detection capability is improved, but system complexity increases
Solution Approach 1:
The system creates simplified copies of normal robot movement patterns during a learning phase and stores them for comparison. Instead of implementing complex real-time analysis of all robot operations, it compares current operations against these pre-created pattern copies, reducing computational complexity while maintaining detection accuracy.
Solution Approach 2:
The system performs preliminary learning and pattern creation during periods when the robot operates normally, storing these patterns for future comparison. This preliminary action prepares the security system in advance, so that during actual operation, only simple pattern matching is required rather than complex real-time analysis.
3Reliability
If real-time monitoring of robot operations is performed, then abnormal operation detection is improved, but energy consumption increases
Solution Approach 1:
The monitoring system operates periodically by comparing robot movement patterns at intervals rather than continuously analyzing every operation. The processor obtains current movement patterns, compares them against stored normal patterns, and resets the comparison cycle after detection, creating a periodic monitoring rhythm that reduces energy consumption while maintaining effective detection capability.
Data Source
AI summary
An electronic apparatus is disclosed. The electronic apparatus includes a communication interface including circuitry, a sensor, a memory stored with data including a plurality of movement patterns at a normal operation of a robot device, and at least one processor electrically coupled with the memory, and the at least one processor is configured to obtain a movement pattern of the robot device based on at least one from among a signal strength received from the robot device through the communication interface or sensing data of the sensor, and identify an operating state of the robot device according to the obtained movement patterned based on the data as a normal operation or an abnormal operation.