Cloud Cable Test Data Aggregation and Authentication
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Solution Overview
Problem
Current cable testing methods in communication networks are inefficient and prone to data manipulation, with limited access to remote test data, which hampers efficiency and data authenticity, and fails to account for environmental factors affecting network performance.
Innovation Solution
A cloud-based system that aggregates test result data from multiple testing devices, using a processor to determine statistics, compare data, and authenticate results, while also correlating data with environmental conditions to improve testing efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If test result data is stored and processed only at local computers, then data access is simple and direct, but access to remote test data is impossible and data aggregation across multiple devices is limited
Solution Approach 1:
A cloud-based server acts as an intermediary between multiple testing devices and local computers. The server receives, stores, and manages test result data from various testing devices, allowing local computers to access both local and remote data through the cloud infrastructure without direct device connections.
Solution Approach 2:
The system transitions from local-only data storage to cloud-based distributed storage, adding a new dimensional layer of data accessibility. Test data becomes available across multiple locations and devices through the cloud network, transforming the data access model from localized to distributed architecture.
2Reliability
If verification procedures are performed on each cable link to ensure proper operation, then network performance is verified accurately, but the process becomes time consuming and costly
Solution Approach 1:
The system performs preliminary data aggregation and statistical analysis in the cloud before final verification. By pre-processing and organizing test data from multiple devices, the system reduces the time and resources needed for actual verification procedures, maintaining accuracy while improving efficiency.
Solution Approach 2:
The system uses statistical analysis and comparison of aggregated test data to provide feedback on cable performance patterns. This allows identification of potential issues without requiring exhaustive testing of every cable link, reducing verification time while maintaining reliability through data-driven insights.
3Ease of operation
If test data is accessed only locally, then data authentication is simpler, but efficiency analysis and data authentication are limited by lack of access to remote data
Solution Approach 1:
The cloud server serves as an intermediary that centralizes test data storage and authentication. This maintains data security and authentication integrity while enabling access to remote data, as the server manages data verification and provides authorized access to aggregated results from multiple testing devices.
4Ease of manufacture
If verification data is processed at local computers, then processing is straightforward, but the ability to understand environmental effects on network performance in different locations is impaired
Solution Approach 1:
The cloud-based system adds a new dimension to data processing by centralizing aggregation of test data from multiple geographic locations. This enables comprehensive environmental factor analysis across different sites while maintaining processing efficiency through automated cloud-based statistical analysis and pattern recognition.
Data Source
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AI summary
A system and method for aggregation of test result data. Provided is a plurality of first testing devices configured to perform testing procedures to test cables of at least one communication network and to output associated first test result data. A cloud-based server device is further provided which is coupled via a network to the plurality of first testing devices. The server device includes a database configured to store the first test result data and a processor. The processor is configured to determine a statistic associated with an aggregation of the first test result data output by the plurality of first testing devices. Second test result data is then received by the processor from a second testing device so as to be compared to the determined statistic so as to output an indication of a result of the comparison.