54 lines
2.2 KiB
Markdown
54 lines
2.2 KiB
Markdown
# SCADA for Small Water Systems
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**A modern, low-egress monitoring and alerting platform for small municipal and private water systems.**
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This repository contains the full system design, specifications, architecture, and implementation for an intelligent SCADA solution targeted at small water systems (typically < 1,000 connections). The system combines edge computing (Raspberry Pi), hybrid AI models, and a clean multi-tenant web interface to deliver reliable monitoring with minimal data transfer costs.
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---
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## Project Goals
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- Provide affordable, professional-grade monitoring for small water systems that cannot justify traditional SCADA costs.
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- Minimize ongoing data egress costs through intelligent local processing and tiered telemetry.
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- Enable both non-technical board members and licensed operators to have appropriate visibility and control.
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- Build a foundation for proactive alerting, anomaly detection, and long-term system health insights using AI.
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## Key Concepts
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- **Monitored Objects**: First-class abstraction for pumps, filters, tanks, sensors, etc.
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- **Tiered Telemetry**: Immutable core signals + optional signals (full telemetry vs alert-only mode).
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- **Hybrid AI Architecture**: Small edge models for local decisions + larger cloud models for complex reasoning.
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- **Low-Egress Design**: Heavy summarization locally, rich context only sent during alerts.
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- **Multi-Tenancy**: Supports both individual system owners and professional operators managing multiple systems.
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---
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## Repository Structure
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All project documentation lives under `/docs`:
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```
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docs/
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├── vision.md
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├── architecture/
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├── specs/
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├── hardware/
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├── decisions/ # Architecture Decision Records (ADRs)
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└── images/
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```
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Active development tasks are tracked in `/tasks`.
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Agent role definitions and swarm coordination live in `/agents` and follow the Hierarchical Agent (HA) methodology defined in this template.
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---
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## Current Status
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This project is in the **early architecture and specification phase**. The core vision, use cases, and high-level system design are being finalized before moving into detailed implementation.
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---
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*Maintained by Ty_Tech* |