Vertical-Driven Architectures
Collection
Physical AI system designs by CodeNinja, reasoned on Praxis, made living with Hyper Ontology. • 57 items • Updated
choice stringclasses 6
values | picked stringclasses 8
values | why stringclasses 8
values |
|---|---|---|
Model | PaddleOCR-VL 1.6, a vision-language document parser of about 0.9 billion parameters, bf16 precision, Apache-2.0 | Digitises the scanned package under a license the operator holds outright, running as released with human reconciliation before any value enters the register |
Model | CDEGS or COMSOL, industry-recognized validated electromagnetic and grounding software at the site tier | The governing clauses require validated software and score unsupported modelling lower, so the interference physics never leaves mandated tools |
Hardware class | One server-class host of the 48 GB PCIe inference GPU class inside the operator's estate | Holds the parser weights under 2 GB and leaves the balance of the card for concurrent solver runs and parser sessions |
Sizing rule | Weights against usable memory first, solver memory with headroom second; context length never binds | The parser reads single scanned pages, so the kv cache ceiling is never the constraint the card is sized on |
Sensing | Pipe-to-soil DC potential at corridor test points, in volts against the copper-copper sulfate electrode with the protective criterion at -0.85 V, plus four-pin soil resistivity by corridor section | The physical world is sensed by electrical measurement, not imaging: no camera duty exists anywhere in the scope |
Pattern | A provenance-carrying validation register, marking every attribute measured, inherited, assumed or unknown | Data errors are the contractor's cost, so every correction has to be traceable and cost-defensible |
Pattern | A re-runnable model handed over on the operator's own hardware, with no consultant-side copy surviving handover | The compiled records and software are the procuring agency's absolute property, and a federal public sector corporation sits under the national cloud-first policy |
Ground | One site-tier host on existing power and cooling inside the operator's facility | No field compute, no new network and no data crossing the boundary, so the stack runs where the data already sits |
Gas pipeline DC interference ontology and model register for Pakistan
The object model and the model and equipment register from Corridor Guard: Validated DC Interference Assessment and Mitigation for Every Gas Pipeline Near the Electrode Station, an open reference architecture by CodeNinja Atoms for a transmission and distribution gas pipeline operator in Pakistan, in oil and gas. Part of the Vertical-Driven Architectures series; every design in the series is also a row in the cumulative dataset https://huggingface.co/datasets/CodeNinjatools/vertical-driven-architectures.
- Read the paper: https://codeatoms.ai/dc-interference-gas-pipelines-pakistan/
- DOI: https://doi.org/10.5281/zenodo.23308093
- Source files and PDF: https://github.com/muhammadumar89/codeninja-research
- Live view: https://huggingface.co/spaces/CodeNinjatools/dc-interference-gas-pipelines-pakistan
Files
| File | What it holds |
|---|---|
objects.json |
15 typed objects (the 8-inch line, the 10-inch loop line, the original anode bed, the TEG unit, two anodes, the insulating joints, the electrode station, the HVDC transmission system with its operating states, the CP test point, the cathodic protection system, the soil investigation report, the detail of available data, the DC interference assessment and each mitigation measure), each with its anchor, properties, status vocabulary and 9 typed links. Format hyper-ontology/1: designed with CodeNinja Praxis, implemented with Hyper Ontology. |
models.csv |
The model and equipment register from the paper's Table 4, with the reason for each choice. |
How to use it
import json
from huggingface_hub import hf_hub_download
p = hf_hub_download("CodeNinjatools/dc-interference-gas-pipelines-pakistan-ontology", "objects.json", repo_type="dataset")
objects = json.load(open(p))["objects"]
print([o["label"] for o in objects])
Citation
CodeNinja Engineering Team and Muhammad Umar. 2026. Corridor Guard: Validated DC Interference Assessment and Mitigation for Every Gas Pipeline Near the Electrode Station. CodeNinja Atoms. https://doi.org/10.5281/zenodo.23308093. CC BY 4.0.
One of the CodeNinja Atoms sovereign AI reference architectures: every published design with its sector, country, compute and three-year cost.
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