Cloud Network Troubleshooting via Mobile Intermediary App
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Solution Overview
Problem
Current network deployment and troubleshooting processes are lengthy and require deep-level network expertise, often resulting in prolonged network downtime due to the difficulty in finding and mobilizing network experts for on-site troubleshooting in small offices and branches.
Innovation Solution
A cloud-based method that assigns troubleshooting tasks to non-expert operators at customer sites, using a cloud server to gather data, detect issues, analyze problems, and recommend remedy actions via a mobile application connected to network devices through Bluetooth, allowing laypersons to perform troubleshooting without relying on on-site network experts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network expert on-site troubleshooting is performed, then troubleshooting accuracy is improved, but response time deteriorates
Solution Approach 1:
A mobile application serves as an intermediary between the network device and the operator. The app collects device data, performs preliminary analysis, and guides the operator through structured troubleshooting steps, enabling non-experts to achieve expert-level diagnostic accuracy without requiring physical presence of network specialists.
Solution Approach 2:
The system enables self-service troubleshooting by providing automated diagnostic capabilities directly to operators at the customer site. The mobile application automatically collects device information, analyzes issues, and recommends solutions, allowing operators to independently resolve problems without waiting for external expert assistance.
2Reliability
If network expert on-site troubleshooting is performed, then troubleshooting quality is improved, but labor cost deteriorates
Solution Approach 1:
The mobile application empowers operators to perform troubleshooting independently without requiring specialized network expertise. The system handles complex analysis and solution generation automatically, maintaining high troubleshooting quality while eliminating the need to deploy expensive network experts for routine issues.
Solution Approach 2:
The system replicates expert troubleshooting capabilities through software. The mobile application contains embedded diagnostic algorithms and knowledge bases that copy the decision-making processes of network experts, allowing non-expert operators to access expert-level troubleshooting quality at minimal cost.
3Manufacturing precision
If manual network deployment process is followed, then network implementation quality is improved, but deployment time deteriorates
Solution Approach 1:
The mobile application performs preliminary diagnostics and assessments automatically before full troubleshooting or deployment activities. By pre-collecting device data and identifying potential issues beforehand, the system streamlines subsequent operations and accelerates the overall deployment process while maintaining implementation quality.
Solution Approach 2:
The system implements continuous feedback loops during network deployment and operation. The mobile application monitors device status in real-time, provides immediate feedback on configuration issues, and guides operators through corrective actions, enabling rapid iteration and validation that accelerates deployment while ensuring quality standards are met.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces network downtime and labor costs by enabling laypersons to troubleshoot network devices promptly, eliminating the need for on-site network experts and streamlining the troubleshooting process.
Implementation Method 1
The data regarding the issue in the network device is gathered by the operator at the customer site through a Bluetooth connection with the network device
Data Source
AI summary
Embodiments of a device and method are disclosed. In an embodiment, a method of network device troubleshooting involves at a cloud server, assigning a troubleshooting task for troubleshooting a network device deployed at a customer site to an operator, at the cloud server, receiving data regarding an issue in the network device that is gathered by the operator at the customer site, and, at the cloud server, recommending a remedy action for the issue in the network device to the operator based on the data regarding the issue in the network device.