Cloud Connector for Automated Network Device Identification
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Solution Overview
Problem
Manual identification and configuration of network devices in automation systems connected to cloud infrastructure are prone to errors and require significant effort, leading to increased costs and recognition time.
Innovation Solution
A cloud connector with passive and active scanning capabilities that electronically identifies network devices by loading network device profiles, reducing manual intervention and centralizing device management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification and configuration of network devices is performed, then device parameters can be recognized and entered, but errors increase and significant effort and time are required
Solution Approach 1:
The cloud connector automatically performs passive and active scans to identify network devices and retrieves their parameters autonomously. The system self-configures by loading device profiles from the cloud based on scanned device information, eliminating the need for manual parameter entry and reducing both time loss and human error.
Solution Approach 2:
The manual mechanical process of identifying and configuring devices is replaced by an electronic automated scanning system. The cloud connector uses electronic scans (passive and active) to automatically detect devices and their parameters, substituting human operators with automated electronic identification and configuration processes.
2Adaptability or versatility
If manual configuration of network devices is performed, then device features can be established, but costs increase due to significant effort required
Solution Approach 1:
The system automatically configures devices by loading profiles from the cloud based on scan results. This self-service approach eliminates manual configuration efforts, reducing implementation costs while maintaining full device configuration capability through automated profile management.
Solution Approach 2:
Instead of manually creating device configurations, the system copies pre-defined device profiles from the cloud to the local network. This copying mechanism preserves device configuration capabilities while significantly reducing the effort and cost associated with manual setup.
3Extent of automation
If data inputs are repeated centrally in the cloud, then centralized device management is achieved, but time and effort are significantly increased
Solution Approach 1:
Device profiles are pre-configured and stored in the cloud before local deployment. When a device is scanned and identified, the corresponding pre-prepared profile is automatically loaded and applied, eliminating the need to repeat data inputs centrally and reducing synchronization time while maintaining centralized management.
Solution Approach 2:
The manual process of repeating data inputs is replaced by an automated electronic data transfer mechanism. The cloud connector electronically retrieves and applies device profiles from the cloud, substituting manual data entry and repetition with automated electronic synchronization.
Data Source
AI summary
A network system includes a first network user having a plurality of network devices, wherein the network devices have identification parameters for identification, a second network user having a cloud computing infrastructure, and a cloud connector having a first interface and a second interface. The cloud connector is connected via the first interface to the first network user and connected via the second interface to the second network user. The cloud connector executes a passive scan and an active scan of the first network user so that at least one of the network devices is identifiable by the cloud connector. A network device profile is loadable from the second network user into the cloud connector, and the active scan is executed on the basis of the network device profile being loaded into the cloud connector.