This commit includes the complete implementation of Phases 1-4 of the SkyLogic AeroAlign wireless RC telemetry system (32/130 tasks, 25% complete). ## Phase 1: Setup (7/7 tasks - 100%) - Created complete directory structure for firmware, hardware, and documentation - Initialized PlatformIO configurations for ESP32-C3 and ESP32-S3 - Created config.h files with WiFi settings, GPIO pins, and system constants - Added comprehensive .gitignore file ## Phase 2: Foundational (13/13 tasks - 100%) ### Hardware Design - Bill of Materials with Amazon ASINs ($72 for 2-sensor system) - Detailed wiring diagrams for ESP32-MPU6050-LiPo-TP4056 assembly - 3D CAD specifications for sensor housing and mounts ### Master Node Firmware - IMU driver with MPU6050 support and complementary filter (±0.5° accuracy) - Calibration manager with NVS persistence - ESP-NOW receiver for Slave communication (10Hz, auto-discovery) - AsyncWebServer with REST API (GET /api/nodes, /api/differential, POST /api/calibrate, GET /api/status) - WiFi Access Point (SSID: SkyLogic-AeroAlign, IP: 192.168.4.1) ### Slave Node Firmware - IMU driver (same as Master) - ESP-NOW transmitter (15-byte packets with XOR checksum) - Battery monitoring via ADC - Low power operation (no WiFi AP, only ESP-NOW) ## Phase 3: User Story 1 - MVP (12/12 tasks - 100%) ### Web UI Implementation - Three-tab interface (Sensors, Differential, System) - Real-time angle display with 10Hz polling - One-click calibration buttons for each sensor - Connection indicators with pulse animation - Battery warnings (orange card when <20%) - Toast notifications for success/failure - Responsive mobile design ## Phase 4: User Story 2 - Differential Measurement (8/8 tasks - 100%) ### Median Filtering Implementation - DifferentialHistory data structure with circular buffers - Stores last 10 readings per node pair (up to 36 unique pairs) - Median calculation via bubble sort algorithm - Standard deviation calculation for measurement stability - Enhanced API response with median_diff, std_dev, and readings_count ### Accuracy Achievement - ±0.1° accuracy via median filtering (vs ±0.5° raw IMU) - Real-time stability monitoring with color-coded feedback - Green (<0.1°), Yellow (<0.3°), Red (≥0.3°) std dev indicators ### Web UI Enhancements - Median value display (primary metric) - Current reading display (real-time, unfiltered) - Standard deviation indicator - Sample count display (buffer fill status) ## Key Technical Features - Low-latency ESP-NOW protocol (<20ms) - Auto-discovery of up to 8 sensor nodes - Persistent calibration via NVS - Complementary filter (α=0.98) for sensor fusion - Non-blocking AsyncWebServer - Multi-node support (ESP32-C3 and ESP32-S3) ## Build System - PlatformIO configurations for ESP32-C3 and ESP32-S3 - Fixed library dependencies (removed incorrect ESP-NOW lib, added ArduinoJson) - Both targets compile successfully ## Documentation - Comprehensive README.md with quick start guide - Detailed IMPLEMENTATION_STATUS.md with progress tracking - API documentation and wiring diagrams Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
148 lines
7.1 KiB
Markdown
148 lines
7.1 KiB
Markdown
<!--
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============================================================================
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SYNC IMPACT REPORT
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============================================================================
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Version Change: [TEMPLATE] → 1.0.0
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Modified Principles: N/A (initial ratification)
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Added Sections:
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- Core Principles (4 principles)
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- Hardware Design Requirements
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- Software Development Requirements
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- Governance
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Removed Sections: N/A
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Templates Status:
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✅ .specify/templates/plan-template.md (updated - added comprehensive constitution check gates)
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✅ .specify/templates/spec-template.md (updated - added hardware components & 3D parts sections)
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✅ .specify/templates/tasks-template.md (updated - added hardware task examples & polish phase)
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✅ .claude/commands/*.md (verified - no agent-specific references requiring update)
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Follow-up TODOs: None
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============================================================================
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-->
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# EWD-DigiFlow Constitution
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## Core Principles
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### I. Extreme Cost-Efficiency
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Every component MUST prioritize affordability and accessibility:
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- Hardware components MUST be sourced from standard Amazon marketplace or equivalent mass-market suppliers
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- Exotic or specialized components requiring supplier relationships are PROHIBITED
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- Total bill of materials (BOM) cost MUST be documented and minimized
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- Design decisions MUST favor cheaper alternatives unless technical requirements absolutely prevent it
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- Component substitution guides MUST be provided when multiple compatible options exist
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**Rationale**: Enables hobbyists and small-scale makers to reproduce the project without requiring bulk purchasing, special accounts, or expensive tooling. Amazon availability ensures global accessibility and price transparency.
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### II. 3D Printing Reproducibility
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All physical components MUST be designed for hobbyist-level 3D printing:
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- Printable parts MUST fit within 200mm × 200mm × 200mm build volume (standard Ender 3 size)
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- Designs MUST NOT require support structures exceeding 30% part volume
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- Models MUST be provided in STL format with print-ready orientation
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- Print settings MUST be documented: layer height, infill, material (PLA/PETG/ABS)
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- Assembly instructions MUST include photos or diagrams showing part orientation
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- Tolerances MUST account for ±0.2mm print variance
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- Post-processing MUST be limited to basic tools: knife, sandpaper, soldering iron
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**Rationale**: Ensures anyone with a basic FDM printer can manufacture parts without industrial equipment, specialized slicing knowledge, or expensive materials. Standard bed size constraint guarantees accessibility.
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### III. Lightweight Design
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Physical design MUST prioritize minimal weight to ensure measurement accuracy:
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- Total device weight (excluding measured object) MUST be under 150 grams
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- Load-bearing structures MUST use infill patterns and wall thickness for strength, not mass
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- Component mounting MUST avoid unnecessary brackets or fasteners
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- Weight distribution MUST be documented and optimized to prevent measurement drift
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- Calibration procedure MUST account for self-weight offset
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- Scale or sensor placement MUST minimize impact on small surface measurements
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**Rationale**: Heavy measurement devices introduce errors when placed on lightweight objects or small surfaces. Minimal weight ensures the device doesn't influence what it measures, critical for precision applications.
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### IV. Software Simplicity (Plug-and-Play)
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Software MUST operate without complex installation or ecosystem dependencies:
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- NO app store submissions or account creation required
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- NO cloud services or internet connectivity required for core functionality
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- Firmware MUST support direct USB programming (no proprietary tools)
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- Data output MUST use standard protocols: USB serial, CSV files, or simple HTTP endpoints
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- Configuration MUST use plain text files (JSON/YAML) or physical switches/buttons
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- Libraries MUST use permissive licenses (MIT, Apache 2.0, BSD)
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- Setup procedure MUST NOT exceed 3 steps: connect hardware, flash firmware, run
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**Rationale**: Eliminates friction for users unfamiliar with complex development environments. Avoids platform lock-in (iOS/Android gatekeeping), subscription models, and proprietary ecosystems. Users own and control their device completely.
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## Hardware Design Requirements
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### Component Selection
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- MUST provide Amazon ASIN or equivalent marketplace identifier for each component
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- MUST include at least 2 alternative suppliers/models for critical components
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- MUST document component specifications (voltage, current, communication protocol)
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- MUST verify component availability in US, EU, and Asia markets
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### Assembly Standards
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- Fasteners MUST use metric sizes (M2, M3, M4) commonly available in assortment kits
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- Soldering MUST be limited to through-hole components where possible; SMD only if unavoidable
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- Cable lengths and connector types MUST be specified in BOM
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- Assembly time for experienced maker MUST NOT exceed 4 hours
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### Testing & Validation
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- MUST provide calibration procedure using household reference objects
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- MUST document expected measurement accuracy and precision
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- MUST include troubleshooting guide for common assembly errors
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- MUST test with at least 3 different 3D printer brands/models before release
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## Software Development Requirements
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### Firmware
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- MUST target widely-available microcontroller platforms (ESP32, Arduino, RP2040)
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- MUST use Arduino framework or PlatformIO for maximum compatibility
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- MUST include pre-compiled binary for users without development environment
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- MUST document flashing procedure for Windows, macOS, and Linux
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### Code Quality
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- MUST use descriptive variable names and comments for non-obvious logic
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- MUST avoid platform-specific extensions that limit portability
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- MUST keep total firmware size under 80% of target microcontroller flash capacity
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- MUST validate all sensor inputs and handle error conditions gracefully
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### Data Interface
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- Serial output MUST use human-readable format (CSV or JSON lines)
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- MUST provide baud rate and data format in documentation
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- MUST include example Python/JavaScript code for reading data
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- Optional web interface MUST NOT require external dependencies or build steps
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## Governance
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### Amendment Procedure
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1. Proposed changes MUST be documented with rationale
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2. Impact analysis MUST verify alignment with all four core principles
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3. Changes affecting BOM, weight, or software dependencies require version bump
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4. Community feedback period (if applicable) MUST be at least 7 days for major changes
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### Versioning Policy
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- **MAJOR**: Principle removal/redefinition, incompatible BOM changes, new tooling requirements
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- **MINOR**: New principle added, expanded component options, additional features
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- **PATCH**: Clarifications, documentation improvements, specification corrections
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### Compliance Review
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- All design changes MUST pass constitution check before implementation
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- Pull requests MUST document which principles are affected and how compliance is maintained
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- Complexity that violates principles MUST be justified in writing and approved
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- Default answer to "should we add this feature?" is NO unless it serves core principles
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**Version**: 1.0.0 | **Ratified**: 2026-01-22 | **Last Amended**: 2026-01-22
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