Vertical-Driven Architectures
Collection
Physical AI system designs by CodeNinja, reasoned on Praxis, made living with Hyper Ontology. • 33 items • Updated
choice stringclasses 5
values | picked stringclasses 5
values | why stringclasses 5
values |
|---|---|---|
Models | None: the register is empty by design | No inference workload is contracted; the deliverable is the study, and an empty register recorded plainly outranks a speculative entry the scope cannot justify |
Hardware classes and sizing rules | None procured; the study runs on the operator's own in-country servers, storage and data center capacity | No field hardware, no edge compute and no serving runtime is installed under this scope |
Sensing | No cameras, no sensors and no positioning; site verification is by engineer walkdowns | The world is read through records, so nothing is watched and nothing needs country legality stated |
The pattern it stands on | System of context as the primary pattern, with the reliability object model as a projection over the three systems of record | Unavailability ranking, sparing confirmation and RCA validation are cross-silo joins that no single source system can produce alone |
The ground it runs on | In-country hosting in Saudi Arabia, with identity through the operator's own directory and single sign-on, procured by class | The operator's requirement keeps data inside the country's boundary and under the operator's identity, which the operator already operates |
Plant reliability assessment ontology and model register for desalination and treatment plants
The object model and the model and equipment register from Reliability Atlas: A Plant Reliability Assessment Study the Operator Can Audit, an open reference architecture by CodeNinja for Saudi Arabia. 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/plant-reliability-assessment-saudi-arabia/
- DOI: https://doi.org/10.5281/zenodo.23157965
- Source files and PDF: https://github.com/muhammadumar89/codeninja-research
- Live view: https://huggingface.co/spaces/CodeNinjatools/plant-reliability-assessment-saudi-arabia
Files
| File | What it holds |
|---|---|
objects.json |
13 typed objects (Plant, Production train, Equipment, Failure mode, Work order, Downtime event, Availability prediction, Availability target, Criticality index, RCA report, Major event, Spare part, Reliability program), each with its anchor system, properties, status vocabulary and 14 typed links. Format hyper-ontology/1: designed with 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/plant-reliability-assessment-saudi-arabia-ontology", "objects.json", repo_type="dataset")
objects = json.load(open(p))["objects"]
print([o["label"] for o in objects])
Made with
Designed on Praxis, CodeNinja's platform for designing physical AI systems. The object model imports into Hyper Ontology, which turns it into a living system. Both are in beta; access by request.
Citation
CodeNinja Engineering Team and Umar Bilal. 2026. Reliability Atlas: A Plant Reliability Assessment Study the Operator Can Audit. CodeNinja. https://doi.org/10.5281/zenodo.23157965. CC BY 4.0.
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