Device Parameter Configuration via Log Data Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing device monitoring systems lack efficient methods for configuring parameters based on actual and reference data, leading to suboptimal operation and potential anomalies.
Innovation Solution
A method and apparatus that acquire log data and reference parameters from storage devices, compare them to generate feedback, and adjust parameters accordingly, using a processor to determine differences and update settings to ensure optimal operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual parameter configuration methods are used for device monitoring, then system simplicity is maintained, but parameter configuration efficiency deteriorates and monitoring accuracy is insufficient
Solution Approach 1:
The system automatically acquires log data from the device, compares actual parameters with reference parameters, and generates feedback without manual intervention. The processor autonomously performs parameter configuration by analyzing log data and determining optimal settings, enabling the system to serve itself rather than requiring manual configuration.
Solution Approach 2:
The system establishes a feedback loop where log data from device operation is continuously acquired, compared against reference parameters, and used to generate feedback that informs subsequent parameter configurations. This closed-loop feedback mechanism enables continuous optimization of device parameters based on actual performance data.
2Reliability
If traditional parameter monitoring is used, then system simplicity is maintained, but anomaly detection capability deteriorates
Solution Approach 1:
The system replaces manual parameter monitoring with automated computational analysis. The processor automatically acquires log data, performs comparative analysis between actual and reference parameters, and identifies anomalies through algorithmic processing rather than manual inspection, thereby enhancing detection capability while reducing human intervention.
Solution Approach 2:
The system introduces log data as an intermediary element that mediates between device operation and parameter monitoring. By analyzing log data that captures actual parameter values during device operation, the system can detect anomalies indirectly through data comparison rather than direct physical monitoring, improving reliability.
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
The present disclosure may provide systems and methods for device parameter configuration. The systems may obtain a request for parameter configuration of a device. In response to receiving the request, the systems may acquire, from a first storage device, log data of the device. The log data may include data of one or more actual parameters indicating an operation of the device. The systems may also acquire, from a second storage device, data of one or more reference parameters of the device. The systems may obtain a comparison result by comparing the data of the one or more actual parameters and the data of the one or more reference parameters of the device. The systems may generate a feedback based on the comparison result.