🏠 سیستم IoT هوشمند – راهنمای کامل پروژه

یک سیستم کامل IoT برای مانیتورینگ و کنترل بلادرنگ سنسورها و دستگاه‌ها با قابلیت‌های ویدیو، امنیت سطح سازمانی، و مقیاس‌پذیری بالا.

🎯 ویژگی‌های کلیدی

• 📊 مانیتورینگ Real-time سنسورها (دما، رطوبت، حرکت، کیفیت هوا و…)
• 🎮 کنترل از راه دور دستگاه‌ها و خروجی‌ها (رله، دیمر و ...)
• 📹 پخش زنده ویدیو (WebRTC/RTSP)
• 🔐 امنیت: TLS/mTLS، احراز هویت، OTA امن
• 📈 ذخیره‌سازی Time-series و تحلیل داده
• ⚙️ مقیاس‌پذیر: از چند دستگاه تا هزاران دستگاه

🏗️ معماری لایه‌ای

1. Device Layer: سنسورها/اکچویتورها (ESP32، Zigbee، LoRa)
2. Gateway Layer: Raspberry Pi (Bridge, Video, Local DB/Cache)
3. Cloud Layer: API Server, MQTT Broker, Databases
4. Application Layer: Web Dashboard, Mobile App

برای دیاگرام‌ها و فلوها: به سند تصویری مراجعه کنید: docs/IoT_System_Blueprint.md

📁 ساختار پروژه

IoT_Smart_System/
├── hardware/
│   ├── esp32_firmware/          # Firmware ESP32 (PlatformIO)
│   ├── raspberry_pi/            # Gateway (Python)
│   └── pcb_designs/             # طراحی PCB (در صورت نیاز)
├── backend/                     # Backend API و سرویس‌ها
│   ├── package.json
│   └── src/
├── frontend/
│   ├── web_dashboard/           # داشبورد React
│   ├── mobile_app/              # اپ موبایل (Expo/React Native)
│   └── desktop_app/             # اپ دسکتاپ (در صورت استفاده)
├── docs/
│   ├── IoT_System_Blueprint.md  # داکیومنت تصویری کامل
│   ├── hardware_guide/
│   │   ├── component_selection.md
│   │   └── firmware_guide.md
│   ├── software_guide/README.md
│   └── deployment/
│       ├── deployment_guide.md
│       └── testing_guide.md
├── docs/business/
│   ├── production_business_guide.md
│   ├── templates/               # SLA, RMA, QC, Label
│   ├── gtm/                     # Launch plan, Messaging, ICP
│   └── costing/                 # Cost model
├── tools/
│   ├── testing/
│   └── monitoring/
└── scripts/

🚀 شروع سریع (Quickstart)

پیش‌نیازها: Node.js 18+، Python 3.9+، Docker & Docker Compose، PlatformIO

# 1) Backend
cd backend
npm install
npm run dev  # یا npm start در تولید

# 2) Web Dashboard
cd ../frontend/web_dashboard
npm install
npm start

# 3) Mobile App (Expo)
cd ../mobile_app
npm install
npm run start  # expo start

# 4) Firmware (ESP32)
cd ../../hardware/esp32_firmware
pio run --target upload
pio device monitor -b 115200

برای استقرار تولید با Docker Compose و راه‌اندازی کامل سرویس‌ها به docs/deployment/deployment_guide.md مراجعه کنید.

🔌 ارتباطات و پروتکل‌ها

• بین دستگاه و سرور: MQTT/TLS (QoS 1/2)
• ویدیو: WebRTC (کم‌تاخیر) یا RTSP→WebRTC
• سنسور تا برد: Zigbee 3.0 (Mesh)، LoRaWAN برای فاصلۀ طولانی
• API: HTTPS + WebSocket برای Real-time UI

🛡️ امنیت

• mTLS/X.509 برای دستگاه‌ها (اختیاری)
• TLS 1.3 برای API/MQTT، ACL برای Topics
• OTA امن با امضای دیجیتال
• جداسازی شبکه (VLAN) برای IoT

📚 مستندات مهم

• نقشه و دیاگرام‌های کامل: docs/IoT_System_Blueprint.md
• انتخاب قطعات: docs/hardware_guide/component_selection.md
• راهنمای Firmware/Hardware: docs/hardware_guide/firmware_guide.md
• راهنمای نرم‌افزار: docs/software_guide/README.md
• راهنمای تست کامل: docs/deployment/testing_guide.md
• راهنمای استقرار: docs/deployment/deployment_guide.md
• تولید انبوه و بازاریابی: docs/business/production_business_guide.md

��️ تکنولوژی‌ها

• Hardware: ESP32-S3/C6، Zigbee 3.0، LoRa (SX1276)، Raspberry Pi
• Software: Node.js/Express، React/React Native، WebRTC، MQTT
• Databases: MongoDB، InfluxDB، Redis
• Observability: Grafana/Prometheus، ELK/EFK (اختیاری)

🧪 تست و کیفیت

• Unit/Integration/E2E/Performance/Security
• اسکریپت‌ها و نمونه‌ها: docs/deployment/testing_guide.md

💰 هزینه نمونه (تقریبی)

• ESP32-S3 ~ $15، Raspberry Pi ~ $75، سنسورها $30–50، PCB+مونتاژ ~$25
• جمع تقریبی واحد: ~$145–165 (متغیر)

📄 لایسنس

MIT (در صورت نیاز تغییر دهید)

👥 مشارکت

• Fork → Branch → Commit → PR

📞 پشتیبانی

• ایمیل: iot.support@yourcompany.com
• اسناد: docs/

---

IoT Smart System is a full-stack solution for building and operating robust IoT products across smart homes, smart agriculture, and remote surveillance. It combines low-latency data ingestion (MQTT/TLS), reliable device control, secure OTA, and live video streaming (WebRTC/RTSP) with a modern web dashboard and mobile app. The system is designed to be scalable, secure, and maintainable from prototype to mass production.

Core capabilities

• • Real-time telemetry: temperature, humidity, motion, air quality, light, sound, battery, RSSI.
• • Device control: relays, dimmers, motors, valves, scenes, schedules.
• • Live video: sub-150 ms WebRTC (browser/mobile) with RTSP→WebRTC gateway.
• • Automations: threshold rules, presence/motion triggers, schedules, scenes.
• • Alerts & notifications: MQTT events → backend rules → push/email/WS updates.
• • OTA updates: signed images, staged rollouts, automatic rollback on failure.
• • Multi-tenant, role-based: secure access to sites, rooms, devices.
• • Observability: metrics, logs, traces; dashboards for system health and usage.

Architecture at a glance

• • Device layer: ESP32 S3/C6 nodes (Wi‑Fi, Zigbee 3.0, LoRa) with deep‑sleep for battery devices.
• • Edge/Gateway: Raspberry Pi (optional Jetson) bridges Zigbee/LoRa/Wi‑Fi, buffers data offline, and converts RTSP to WebRTC.
• • Cloud/Core:
  • Backend API (Node.js/Express) with JWT auth, REST, WebSocket.
  • MQTT broker (Mosquitto/HiveMQ) with ACLs and QoS 1/2.
  • Databases: MongoDB (entities, config, events), InfluxDB (time‑series), Redis (cache).
• • Apps: React web dashboard and Expo/React‑Native mobile app.

Data and control planes

• • Telemetry: MQTT/TLS topics devices/{id}/data|heartbeat|events (QoS 1).
• • Commands: devices/{id}/commands (QoS 2, idempotent, deduplicated via message IDs).
• • Responses: devices/{id}/response for execution results and timing.
• • Video: RTSP from IP/ESP32‑CAM → WebRTC to browser/app via STUN/TURN; adaptive bitrate.

Protocol and hardware choices

• • Sensors → MCU: Zigbee 3.0 mesh for low power and resilience; LoRaWAN for long range; Wi‑Fi for high bandwidth nodes.
• • MCU → Cloud: MQTT over TLS 1.3; optional mTLS per device.
• • Reference hardware:
  • ESP32‑S3 (Wi‑Fi/BT; optional Zigbee/Thread with C6), SHT31, BMP280, BME680, BH1750, PIR/mmWave.
  • Gateway: Raspberry Pi 4 (bridge + AI/video), optional Jetson for heavy CV.
  • Cameras: IP cams (RTSP/PoE) and ESP32‑CAM.

Security model

• • Device identity: per‑device X.509 (mTLS) or scoped MQTT credentials with ACLs.
• • Transport: TLS 1.3 for MQTT/HTTPS; modern ciphers; strict certificate pinning where applicable.
• • OTA security: signed firmware; integrity checks; staged rollout; rollback on failed health.
• • Backend: JWT with short‑lived tokens, rate limiting, input validation, audit logging.
• • Network: VLAN segmentation for IoT, least‑privilege firewall rules.
• • Secrets: separate KMS or vault where available; rotated credentials and keys.

Reliability and scale

• • Broker HA: clustered MQTT or active/standby with persistence; retained LWT topics for presence.
• • Backpressure/resilience: gateway store‑and‑forward, bounded queues, exponential backoff, jitter.
• • SLOs: end‑to‑end telemetry ≤ 200 ms (LAN), ≤ 500 ms (WAN); command execution ≤ 1 s; WebRTC latency ≤ 150 ms.
• • Throughput: 10k+ devices and 10k msg/s supported with horizontal scaling (API/broker/db sharding).

Data model and topics

• • Canonical payload fields: device_id, timestamp, temperature, humidity, pressure, gas_resistance, light_level, sound_level, motion, battery, rssi, free_heap.
• • Namespacing and conventions: kebab‑case topic suffixes, versioned schemas where needed, server‑side validation.

Automations and rules

• • Thresholds: fire alerts when values cross configured bounds (with cooldowns).
• • Schedules: cron‑style or calendar‑based device control.
• • Scenes: orchestrate multiple actuators atomically.
• • Presence/motion: instant event → action mapping via gateway or backend rules engine.

Developer experience

• • Repos and structure: devices/gateway/backend/frontend under IoT_Smart_System/.
• • Quickstart: npm scripts for API/UI, PlatformIO for firmware, Docker Compose for infra.
• • API docs: Swagger at /api-docs; WS event contracts documented.
• • Code style: typed models, explicit error handling, early returns, and readable naming.

Testing and CI/CD

• • Unit/integration/E2E/security tests; realistic MQTT and WS integration harnesses.
• • Performance/load: Artillery for API, custom MQTT stress tools.
• • Hardware‑in‑loop: serial/MQTT test scripts for ESP32 and gateway.
• • CI pipelines: build, test, coverage, container builds, and deploy gates.

Observability and operations

• • Metrics: Prometheus exporters for API, broker, and node; Grafana dashboards (uptime, msg rate, latencies).
• • Logs: ELK/EFK stack integration; correlation IDs across services.
• • Backups and DR: automated Mongo/Influx backups, restore scripts, periodic recovery drills.
• • Health checks: HTTP and broker probes; alerting on error budgets and SLA breaches.

Deployment options

• • Single node: Docker Compose (quick production or pilot).
• • Cluster: Kubernetes (HA API/broker/db), Nginx ingress with TLS, horizontal autoscaling.
• • On‑prem/edge: gateway‑only with intermittent sync to cloud; local control keeps functioning offline.

Business and GTM (optional)

• • SKU kits and costing models; CE/FCC/RoHS readiness; QC (IQC/IPQC/FQC), AOI/ICT/FCT, burn‑in workflows.
• • Launch plan, messaging, ICP personas; SLA and RMA templates.
• • See docs/business/ for production and marketing materials.

Primary use cases

• • Smart home/buildings: environmental comfort, safety, energy, presence‑aware automations.
• • Smart agriculture: long‑range sensing (LoRa), irrigation control, solar power, offline‑friendly.
• • Remote surveillance: low‑latency video, motion alerts, video analytics (optional Jetson).

Roadmap highlights

• • Matter/Thread integration; multi‑region clusters; fine‑grained policy engine.
• • Edge analytics on gateway (TinyML/TFLite) for anomaly detection.
• • Plug‑in marketplace for device drivers and automations.

Where to start:

• • Architecture and diagrams: docs/IoT_System_Blueprint.md

• • Hardware/firmware: docs/hardware_guide/firmware_guide.md and hardware/esp32_firmware/

• • Backend/API: backend/ (Swagger docs at /api-docs)

• • Web/Mobile apps: frontend/web_dashboard/, frontend/mobile_app/

• • Deployment/testing: docs/deployment/

• I added a comprehensive English overview you can paste into README.md or use on your website and collateral.