Monitoring Apparatus for Master Control Device Anomaly Detection
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Solution Overview
Problem
Existing monitoring apparatuses are inadequate in detecting anomalies in master control devices communicatively coupled to multiple slave control devices via different networks, leading to low accuracy in anomaly detection.
Innovation Solution
A monitoring apparatus that obtains and compares input and output data across different networks to determine anomalies using stored determination data, indicating correspondence relationships between input and output data, and includes a determination unit to assess whether the data satisfies the stored criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a monitoring apparatus monitors a master control device communicatively coupled to multiple slave control devices via different networks, then the monitoring coverage and anomaly detection capability are improved, but the device complexity and difficulty of detecting and measuring increase
Solution Approach 1:
The monitoring apparatus is divided into distinct functional units: a first obtaining unit for acquiring input data from the second network, a second obtaining unit for acquiring output data from the first network, and a determination unit for analyzing the correspondence between data. This segmentation allows each unit to handle specific tasks independently, managing complexity while achieving comprehensive monitoring across multiple networks.
Solution Approach 2:
The monitoring apparatus acts as an intermediary between the master control device and the external monitoring system. It receives input data from one network and output data from another network, then determines whether they correspond properly. This intermediary role enables the system to monitor anomalies without requiring direct access to all internal communications, thus managing complexity while improving detection capability.
2Measurement precision
If a monitoring apparatus compares input data and output data across different networks to determine anomalies, then the measurement precision of anomaly detection is improved, but the device complexity increases
Solution Approach 1:
The determination unit applies specific determination data that is tailored to the expected correspondence relationship between input data and output data. This determination data encodes the local quality or characteristics of valid data relationships, allowing the system to precisely detect anomalies by comparing actual data against these predefined expectations, thereby improving measurement precision without requiring overly complex analysis algorithms.
3Device complexity
If the monitoring apparatus is included in the first slave control device to monitor the master control device, then the device complexity of the monitoring system is reduced, but the measurement precision of anomaly detection may be limited
Solution Approach 1:
The first slave control device is given multiple functions: it serves as both a normal slave device receiving output data from the master control device and as a monitoring apparatus that compares this output data with input data. This multi-functionality allows the system to achieve anomaly detection without adding a separate dedicated monitoring device, thus reducing overall device complexity while maintaining detection precision through the determination unit's analysis capabilities.
Data Source
AI summary
A master control device is communicatively coupled to a first slave control device and a second slave control device via a first network and a second network, respectively. The master control device provides output data to the first slave control device based on input data received from the second slave control device. A monitoring apparatus which monitors an operation of the master control device stores determination data indicating a correspondence relationship between the input data and the output data, obtains the input data provided to the second network by the second slave control device and the output data provided to the first slave control device via the first network, and determines a presence or an absence of an anomaly in the operation of the master control device by determining whether the input data and the output data correspond to the determination data.