Electronic Device Management System Targeted Data Collection
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Solution Overview
Problem
Management centers face challenges in efficiently collecting data from electronic devices due to potential delays in evaluating device status, especially when devices are powered off or experience network failures, leading to inaccurate identification of operational issues.
Innovation Solution
A method and apparatus that acquire operation data from electronic devices, determine whether to send a data-acquiring command based on the data, and receive response data, utilizing a scoring mechanism and metadata analysis to optimize data collection, thereby reducing unnecessary data transmission and improving management efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the management center continuously collects data from all electronic devices, then the completeness of device status information is improved, but the network load and data transmission overhead increase significantly
Solution Approach 1:
The system performs partial data collection by selectively acquiring data only from devices that exhibit abnormal operation patterns. Instead of continuously collecting data from all devices, the management center analyzes operation data to identify anomalies and then triggers targeted data acquisition only for affected devices, reducing overall network load while maintaining reliability.
Solution Approach 2:
Electronic devices automatically generate and upload operation data to the management center without requiring continuous polling or manual intervention. The devices self-monitor their status and proactively report when anomalies are detected, eliminating the need for constant network communication from the management center while ensuring complete status information is captured when needed.
2Loss of energy
If the management center waits for devices to automatically upload data, then network load is reduced, but the response time for detecting device failures increases
Solution Approach 1:
The management center implements a feedback mechanism where operation data is continuously analyzed to detect abnormal patterns. When anomalies are detected in the uploaded operation data, the system immediately triggers a follow-up data acquisition command to the affected device, ensuring rapid failure detection and response while maintaining low network load during normal operation.
Solution Approach 2:
The system performs preliminary analysis of operation data as it is uploaded from devices. By detecting anomalies in the operation data before triggering full data acquisition, the system prepares for potential failures in advance, reducing the time needed for complete device status verification when issues arise.
3Measurement precision
If the management center sends frequent data-acquiring commands to all devices, then the accuracy of device status monitoring is improved, but the device workload and system complexity increase
Solution Approach 1:
The system applies different monitoring strategies to different devices based on their operational characteristics and detected anomaly patterns. Instead of uniformly monitoring all devices with the same frequency and depth, the management center tailors data acquisition intensity to each device's specific needs, improving monitoring accuracy for problematic devices while reducing workload for normal devices.
Solution Approach 2:
The data collection frequency and intensity dynamically adjust based on device performance. When devices operate normally, monitoring is minimized to reduce complexity. When anomalies are detected, the system automatically increases monitoring intensity and data acquisition frequency for affected devices, optimizing the balance between monitoring accuracy and system complexity in real-time.
Data Source
AI summary
A method is disclosed. The method may include a method for management of an electronic device. The method may include acquiring operation data of an electronic device. The method may include determining, based on the operation data of the electronic device whether to send a data-acquiring command to the electronic device. The method may include sending a data-acquiring command to the electronic device. The method may include receiving, from the electronic device, response data generated by the electronic device in response to the data-acquiring command. An apparatus and program product are also disclosed.