Design of a Gateway Module for Multi-protocol Industrial Connected Objects and Cloud Services
Bibliographic record
Abstract
Industrial Internet of Things (IIoT) offers many new opportunities. Nonetheless, their adoption can be complex since traditional industrial "objects" are tailored to their very specific application environment. These objects are often incompatible with newer IIoT-ready devices. Incorporating them into an industrial facility may require network restructuring that can entail significant costs. However, add-on solutions exist that can keep the upgrading costs to a reasonable level. This has been made possible by emerging commodity off-the-shelf gateways that can act as intermediaries between industrial objects and cloud services.Gateways are usually not designed to handle many communication protocols, and choosing the right gateway can be challenging. The gateway device presented in this article was designed to solve this problem by implementing multiple protocols within an open-source environment. The implemented protocols are Modbus, Canbus, MQTT and REST. Furthermore, the proposed gateway architecture can facilitate the implementation of new protocols. Several dozen tests have been carried out in an experimental environment to cover the most common application cases, thus illustrating the robustness of the gateway.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".