Management Platform Data Integrity Check for Missing Device Reports
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Solution Overview
Problem
In management networks, devices may re-report data due to failures, leading to incomplete data reception by the management platform, which affects service processing effectiveness due to anomalies like link or platform anomalies.
Innovation Solution
A data integrity processing method and apparatus that automatically checks data integrity by identifying and retrieving missing data using data identifiers, such as timestamps and data numbers, to ensure complete data availability for accurate service processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device re-reports data after failure to actively report, then data loss is reduced, but data completeness deteriorates due to platform not receiving all reported data
Solution Approach 1:
The management platform proactively checks data integrity by comparing received data with expected data ranges before service processing, and pre-requests missing data from the device. This preliminary verification and recovery action prevents incomplete data from affecting service processing quality.
Solution Approach 2:
The system implements a feedback mechanism where the management platform monitors data reception status, identifies missing data through continuity checks, and triggers re-reporting requests to the device. This closed-loop feedback ensures data completeness by continuously verifying and recovering lost data.
2Productivity
If the management platform directly uses re-reported data, then processing speed is improved, but data accuracy deteriorates due to potential anomalies
Solution Approach 1:
The management platform performs preliminary integrity verification on re-reported data by checking data identifier continuity and comparing against expected ranges before using the data for service processing. This pre-validation ensures data accuracy without significantly delaying processing.
Solution Approach 2:
The system implements verification feedback where the platform checks data completeness and accuracy after reception, and triggers correction mechanisms if anomalies are detected. This feedback loop maintains high data accuracy while preserving processing efficiency.
3Measurement precision
If the management platform performs data integrity check, then data accuracy is improved, but system complexity increases
Solution Approach 1:
The patent extracts the data integrity verification function as a separate, independent module within the management platform. This extracted module specifically handles data identifier analysis and missing data detection, allowing the rest of the system to remain simple while achieving robust integrity checking.
Solution Approach 2:
The system implements self-service integrity checking where the management platform automatically verifies data completeness using simple identifier continuity checks without requiring external validation systems. This self-verification mechanism maintains data integrity while minimizing system complexity.
Data Source
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AI summary
The present disclosure provides a data integrity processing method and apparatus and an electronic device. The method includes: receiving data reported by at least one device managed by a management platform; when determining to perform data integrity processing, determining data reported by a target device within a specified time period from the received data, and based on data identifiers of the data reported by the target device within the specified time period, determining target data that the management platform should have received but have not received from the target device; where the target device is a device in the at least one device; and obtaining the target data from the target device. By using the solution of the present disclosure, the management platform is enabled to automatically perform data integrity check.