Peripheral Connection Diagnosis With Visual Status Classification
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Solution Overview
Problem
Existing smart grid systems lack effective methods to determine the real-time connection status of peripheral devices and display this information visually, making it difficult for users to maintain the system effectively.
Innovation Solution
A self-diagnosing system that automatically diagnoses the connection status of peripheral devices in a smart grid, using a graphic control page to display the status in real-time, distinguishing between normal communication-lines, device connections, and offline devices through a visual representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time communication data is used to determine connection status, then the accuracy of connection status determination is improved, but the system complexity increases
Solution Approach 1:
The patent segments the connection status determination into three distinct categories (first category: normal communication-line and normal device connection; second category: normal communication-line but abnormal device connection; third category: abnormal communication-line and abnormal device connection). This segmentation allows the system to precisely classify connection statuses while maintaining manageable system complexity through structured diagnostic approaches.
Solution Approach 2:
The patent introduces a visual interface as an intermediary that translates complex communication data and connection status determinations into intuitive visual representations. This intermediary layer allows accurate connection status monitoring without requiring users to directly interact with or understand the underlying system complexity.
2Ease of operation
If visual display of connection status is implemented, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The patent employs color changes in the visual interface to represent different connection status categories. By using distinct colors to indicate normal versus abnormal states and different types of abnormalities, the system provides intuitive visual feedback that simplifies user operation while encapsulating the complexity of the diagnostic logic within the system.
3Productivity
If automatic diagnosis of peripheral devices is performed, then the productivity of maintenance operations is improved, but the use of energy increases
Solution Approach 1:
The patent implements a self-diagnosing system that automatically monitors and diagnoses connection status of peripheral devices without requiring manual intervention. The system uses existing communication data and built-in diagnostic models to perform automatic classification and visualization of connection issues, improving maintenance productivity while minimizing additional energy consumption by leveraging existing system resources.
Data Source
AI summary
A self-diagnosing system including a communication diagnosing model, a device communication-status identification model, a communication-line identification model, and a graphic updating model is disclosed. The communication diagnosing model determines whether device data of each peripheral device is received. The device communication-status identification model identifies the communication-line of the peripheral device to be normal when the device data is received and determines whether a connection status of the peripheral device is a first category or a second category based on a target data. The communication-line identification model identifies the peripheral device to be offline when the device data is not received and inspects the communication-line of the peripheral device to determine whether the connection status of the peripheral device is the second category or a third category. The graphic updating model updates a displaying icon of each peripheral device based on the connection status of each peripheral device.