Portable Cellular Module Tester Cloud Sync
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Solution Overview
Problem
Existing evaluation tools for cellular module communication performance metrics are bulky, inconvenient for field deployment, and limited in their ability to assess various performance metrics across different application scenarios.
Innovation Solution
A portable device capable of communicating with the cloud, which can monitor, record, and process communication-related data to determine various communication performance metrics of a cellular module, and upload or store this data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional evaluation tools are used for cellular module communication performance metrics, then measurement precision can be maintained, but device portability and ease of operation deteriorate due to bulky size
Solution Approach 1:
The conventional bulky evaluation tool is segmented into a portable evaluation device and a cloud server. The portable device handles local data collection and preliminary processing, while the cloud server performs complex analysis and storage, enabling field deployment without sacrificing measurement precision.
Solution Approach 2:
A cloud server acts as an intermediary between the portable evaluation device and the final results. The portable device collects data in the field and transmits it to the cloud server for processing, allowing the device to remain simple and portable while maintaining high measurement precision through cloud-based analysis.
2Measurement precision
If comprehensive communication performance metrics are monitored and stored locally, then measurement precision and data availability improve, but device complexity and storage requirements increase
Solution Approach 1:
Complex data processing, storage, and analysis functions are extracted from the portable evaluation device and relocated to the cloud server. The portable device only performs lightweight data collection and transmission, significantly reducing its complexity and storage requirements while maintaining comprehensive metric monitoring capabilities.
Solution Approach 2:
The system transitions from a single-device local storage model to a distributed cloud-based storage model. By moving data to the cloud dimension, the portable device's storage and processing burden is dramatically reduced while comprehensive metric monitoring is maintained through cloud infrastructure.
Data Source
AI summary
A portable device and method for determining communication performance metrics are provided. The portable device communicates with the cloud and includes a control device and storage. The control device records and/or processes communication-related data for determining the corresponding metric. The control device acquires communication-related data of a predetermined communication performance metric based on the configuration information, and determines and records the predetermined communication performance metric of the to-be-tested cellular module based on the communication-related data, or records the communication-related data; and uploads the predetermined communication performance metric or the communication-related data to the cloud via the to-be-tested cellular module when the data is required and able to be uploaded to the cloud. Storage stores the predetermined communication performance metric or the communication-related data when there is no need or inability to upload the data to the cloud and the storage space is not full.


