Implementation of Dual Internet Links for Industrial IoT to Provide Safe Digital Commands for Process Automations
Bibliographic record
Abstract
This paper aims to build an efficient, secure, and reliable Industrial-IoT system for regions with slow, unreliable Internet connections to maintain the minimum requirements for industrial processes and guarantee production sustainability.In this paper, a remote monitoring and control system is established practically using KEPServerEX.The communication between the client and the server is accomplished through the internet using Fiber to the Home (FTTH) architecture with a dedicated public IP address on the server side.At the same time, 3G mobile data and FTTH have been used on the Client side.Open Platform Communications United Architecture (OPC UA) transfers automation data between the client and the server through the internet.The hardware devices are connected to the server through Ethernet cables.A monitoring HMI is programmed and interfaced with the KEPServerEX on the client side, which is located far away from the server area.This paper introduces an innovative method to achieve dual-link connections between the OPC UA Server and the Remote OPC UA Client.A redundant Internet link is used in parallel with the other link to provide more reliability, availability, and security to the system.The designed system sends an alarm to the client in case of detecting link communication failure, link transmission delay, or malicious data injection into the system.The results show that the client can receive the alarm within a time delay between 200 to 300 ms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".