AI-Powered Smart Power Grid Monitoring & Safety Automation Using ESP32
1. Project Title
AI-Powered Smart Power Grid Monitoring and Safety Automation Using ESP32, IoT, n8n, AI Agent, Web Dashboard and Telegram Voice Alerts
Short title
Agentic AI-Based Smart Power Grid Monitoring and Safety System
2. Abstract
The proposed system is an intelligent IoT-based electrical power monitoring and safety platform designed to continuously monitor electrical parameters such as voltage, current, power, energy consumption, frequency, temperature, and abnormal operating conditions.
An ESP32 acts as the edge controller. Sensors connected to the ESP32 acquire electrical and environmental measurements. The ESP32 processes the measurements locally and transmits the data to an IoT/cloud layer.
The system uses n8n as the automation and orchestration platform. n8n receives sensor data, evaluates predefined safety conditions, stores measurements in Google Sheets, publishes data to ThingSpeak, updates a web dashboard, and communicates with an AI agent.
When an abnormal condition such as over-voltage, under-voltage, over-current, excessive temperature, overload, or abnormal power consumption is detected, the automation system generates an alert. The AI agent can analyze the event and determine the appropriate response according to predefined safety rules.
The system can then send a Telegram notification and voice alert to the user. In severe situations, the ESP32 can activate a local protection mechanism such as a relay/contactor to disconnect a properly isolated, low-voltage-controlled load.
The project therefore combines:
Edge IoT + ESP32 + Electrical Monitoring + AI Agent + n8n Automation + Cloud Storage + Web Dashboard + Telegram Voice Alerts
3. Main Objectives
The major objectives are:
- Monitor electrical parameters in real time.
- Detect electrical abnormalities automatically.
- Process critical safety conditions at the ESP32 edge.
- Send sensor data to the cloud.
- Automate data processing using n8n.
- Use an AI agent for intelligent event analysis.
- Display measurements on a web dashboard.
- Store historical measurements in Google Sheets.
- Visualize IoT data using ThingSpeak.
- Send Telegram notifications.
- Generate Telegram voice alerts for critical events.
- Maintain an event/safety log.
- Automatically activate a protection output when a predefined dangerous condition occurs.
- Provide remote monitoring through the Internet.
4. Overall System Architecture
The complete system can be divided into six layers.
┌───────────────────────────────────────────────────────────┐│ ELECTRICAL SYSTEM ││ ││ Voltage ──┐ ││ Current ──┤ ││ Power ────┤──> Sensors / Metering Circuit ││ Energy ───┤ ││ Temp ─────┘ │└─────────────────────────┬─────────────────────────────────┘│▼┌───────────────────────────────────────────────────────────┐│ EDGE LAYER ││ ││ ESP32 ││ ││ Sensor Reading ││ Local Filtering ││ Threshold Checking ││ Emergency Logic ││ Wi-Fi Communication ││ Relay/Contactor Control* │└─────────────────────────┬─────────────────────────────────┘│ Wi-Fi / HTTPS / MQTT▼┌───────────────────────────────────────────────────────────┐│ IoT / AUTOMATION LAYER ││ ││ n8n ││ ││ Receive Data ││ ↓ ││ Validate Data ││ ↓ ││ Safety Rules ││ ↓ ││ AI Agent ││ ↓ ││ Decision / Classification │└──────────────┬──────────┬──────────┬──────────────────────┘│ │ │▼ ▼ ▼Google Sheets ThingSpeak Database│ │└────┬─────┘▼Web Dashboard│▼User / Engineer│▼Telegram Bot│┌────────┴────────┐▼ ▼Text Alert Voice Alert
* For an actual mains/high-voltage installation, the protection hardware must be properly rated, isolated and installed by a qualified person. The ESP32 should not directly switch mains voltage.
5. Hardware Requirements
5.1 Main Controller
ESP32 Development Board
Recommended:
- ESP32 DevKit V1
- ESP32-WROOM-32
- ESP32-S3 if additional processing/peripherals are desired
The ESP32 provides:
- Wi-Fi
- GPIO
- ADC
- UART
- I²C
- SPI
- sufficient processing capability
- low-cost edge computing
6. Sensors
The exact sensors depend on whether this is a laboratory low-voltage prototype or a real electrical installation.
Voltage measurement
Possible approach:
AC voltage sensor/module → isolated measurement → ESP32 ADC
For a prototype, an appropriately isolated voltage-sensing module can be used.
Current measurement
Possible options:
- Current transformer
- Hall-effect current sensor
- INA219/INA226 for suitable DC applications
For AC mains measurement, a properly rated current transformer or isolated current transducer is preferable.
Temperature
Possible:
- DS18B20
- DHT22 for ambient monitoring
- thermistor
- industrial temperature sensor
For electrical-panel temperature, an appropriately mounted temperature sensor is preferable.
Energy measurement
Energy can be calculated approximately from:
Energy = Power × Time
For more accurate electrical metering, use a dedicated energy-metering IC/module or certified meter.
7. Protection Components
A prototype can include:
ESP32 GPIO│▼Driver Circuit│▼Relay / Contactor Control
Important:
Do not connect a relay module directly to an uncontrolled mains circuit merely because the relay is labeled "10 A" or "250 V".
For an academic prototype, demonstrate the switching function using a safe low-voltage load such as a DC lamp or DC motor.
For real distribution equipment, use appropriately rated:
- contactor
- fuse/MCB
- circuit breaker
- overload protection
- surge protection
- isolation
- emergency shutdown
and have the electrical installation professionally designed.
8. Suggested Hardware Block Diagram
┌──────────────────┐│ Electrical Load │└────────┬─────────┘│┌───────┴────────┐│ │▼ ▼Voltage Sensor Current Sensor│ │└───────┬────────┘▼┌────────┐Temperature ───►│ ESP32 │Sensor │ │└───┬────┘│┌───────┼───────────┐│ │ │▼ ▼ ▼Relay Wi-Fi LocalControl │ Alarm│▼n8n
9. ESP32 Responsibilities
The ESP32 is the edge intelligence layer.
It should:
- Read sensors.
- Filter noisy readings.
- Calculate electrical parameters.
- Check safety thresholds.
- Identify immediate dangerous conditions.
- Send telemetry to the server.
- Receive commands.
- Control a safe protection output.
- Continue basic protection even if the Internet is unavailable.
This last point is extremely important.
Do not make the Internet your only safety mechanism.
For example:
Sensor│▼ESP32│├── Safe → Normal operation│└── Dangerous│├── Local protection├── Local alarm└── Send cloud event
The AI agent should assist monitoring and decision support, while deterministic safety rules remain responsible for immediate protection.
10. Example Safety Parameters
For an educational prototype, you can define configurable thresholds such as:
| Parameter | Example Normal Range | Action |
|---|---|---|
| Voltage | Configurable | Detect under/over-voltage |
| Current | Configurable | Detect over-current |
| Power | Configurable | Detect overload |
| Temperature | Configurable | Detect overheating |
| Frequency | Configurable | Detect abnormal frequency |
| Energy | Configurable | Monitor consumption |
| Sensor status | Valid | Detect sensor failure |
Don't copy these values blindly into a real power system. Thresholds should be based on the actual equipment and applicable electrical standards.
11. Operating Modes
The system can have four modes.
MODE 1 — NORMAL
Voltage ✓Current ✓Temperature ✓Power ✓Internet ✓↓NORMAL STATE
Dashboard:
SYSTEM STATUS: 🟢 NORMAL
MODE 2 — WARNING
Example:
Current slightly above normal
System:
ESP32↓n8n↓AI Analysis↓WARNING↓Telegram notification
MODE 3 — CRITICAL
Example:
Over-current detected
Flow:
Sensor↓ESP32↓Local Safety Rule↓Protection Output↓n8n↓AI Agent↓Telegram Voice Alert
MODE 4 — COMMUNICATION FAILURE
If Internet connectivity disappears:
ESP32│├── Local monitoring continues├── Local safety protection continues└── Data buffered locally
When connectivity returns:
ESP32↓Upload buffered measurements
12. IoT Data Format
A useful JSON telemetry structure is:
{"device_id": "ESP32_GRID_01","timestamp": "2026-08-20T23:00:00","voltage": 230.4,"current": 4.82,"power": 1089.5,"energy": 12.73,"temperature": 36.4,"frequency": 50.02,"status": "NORMAL","alarm": false}
An alarm message could be:
{"device_id": "ESP32_GRID_01","event": "OVER_CURRENT","voltage": 228.6,"current": 12.4,"power": 2834.1,"temperature": 48.2,"severity": "CRITICAL","timestamp": "2026-08-20T23:02:12"}
13. n8n Automation Architecture
The n8n workflow can be designed as:
ESP32│▼┌──────────────┐│ Webhook/MQTT │└──────┬───────┘▼┌───────────────┐│ Validate JSON │└──────┬────────┘▼┌───────────────┐│ Normalize Data│└──────┬────────┘▼┌───────────────┐│ Safety Rules │└──────┬────────┘│┌──────┴──────────┐│ │▼ ▼NORMAL ABNORMAL│ ││ ▼│ AI Agent│ ││ ┌────────┴─────────┐│ │ ││ ▼ ▼│ WARNING CRITICAL│ │ │└────────┼──────────────────┘│▼┌────────────────┐│ Google Sheets │└────────────────┘│▼ThingSpeak│▼Web Dashboard│▼Telegram│┌──────┴──────┐▼ ▼Text Voice
14. n8n Node-by-Node Workflow
Node 1 — Webhook
ESP32 sends:
POST /webhook/power-monitor
Body:
{"device_id": "ESP32_GRID_01","voltage": 230.4,"current": 4.82,"power": 1089.5,"temperature": 36.4}
Node 2 — JSON Validation
Check:
device_id existsvoltage existscurrent existstimestamp exists
If invalid:
Reject packet
15. Node 3 — Function/Code Processing
n8n can calculate:
PowerSeverityAlarm stateEvent type
Example logic:
const voltage = Number($json.voltage);const current = Number($json.current);const temperature = Number($json.temperature);let severity = "NORMAL";let event = "NORMAL";if (temperature > 60) {severity = "CRITICAL";event = "OVER_TEMPERATURE";} else if (current > 10) {severity = "CRITICAL";event = "OVER_CURRENT";} else if (voltage > 250) {severity = "WARNING";event = "OVER_VOLTAGE";}return [{json: {...$json,severity,event}}];
These are example software thresholds, not real installation settings.
16. Node 4 — IF/Switch Node
severity│├── NORMAL│├── WARNING│└── CRITICAL
17. AI Agent
The AI agent receives structured information such as:
Device: ESP32_GRID_01Voltage: 228.6 VCurrent: 12.4 APower: 2834 WTemperature: 48.2 °CEvent: OVER_CURRENTSeverity: CRITICAL
The AI agent can produce:
Classification:CRITICALReason:Current is significantly above the configured operating threshold.Recommended action:Keep the protection state active and notify the operator.Operator message:"Critical over-current condition detected on Grid Device 01."
18. Important AI Safety Design
The AI should not be the sole authority for emergency electrical protection.
Use:
Deterministic Safety Logic+AI Analysis
instead of:
AI↓Directly control mains
A safer architecture is:
Sensor│▼ESP32│┌─────────┴──────────┐│ │▼ ▼Safety Rule Engine Cloud│ │▼ ▼Protection n8n + AI│▼Notification
19. Telegram Alert System
The Telegram bot can send:
Normal notification
🟢 POWER GRID STATUSDevice: ESP32_GRID_01Voltage: 230.4 VCurrent: 4.82 APower: 1089 WTemperature: 36.4 °CStatus: NORMAL
Critical notification
🚨 CRITICAL POWER ALERTDevice: ESP32_GRID_01Event: OVER CURRENTCurrent: 12.4 AVoltage: 228.6 VPower: 2834 WTemperature: 48.2 °CSeverity: CRITICALProtection status: ACTIVE
20. Telegram Voice Alert
The voice-alert pipeline can be:
ESP32↓n8n↓AI Agent↓Generate Alert Text↓Text-to-Speech↓Audio File↓Telegram Bot↓User's Phone
Example voice message:
"Critical power alert. Over-current has been detected on Grid Device 01. Please inspect the electrical system."
The voice message makes the project considerably more useful than a simple text notification.
21. Google Sheets Integration
Google Sheets can act as a simple historical log.
Recommended columns:
| Timestamp | Device | Voltage | Current | Power | Energy | Temperature | Event | Severity | Action |
|---|---|---|---|---|---|---|---|---|---|
| 23:00 | GRID01 | 230.4 | 4.82 | 1089 | 12.73 | 36.4 | NORMAL | NORMAL | None |
| 23:02 | GRID01 | 228.6 | 12.4 | 2834 | 12.78 | 48.2 | OVER_CURRENT | CRITICAL | Protection |
This allows:
- historical analysis
- report generation
- fault investigation
- energy analysis
- academic demonstration
22. ThingSpeak Integration
ThingSpeak can provide IoT visualization.
Example fields:
Field 1 → VoltageField 2 → CurrentField 3 → PowerField 4 → EnergyField 5 → TemperatureField 6 → FrequencyField 7 → Alarm
Dashboard:
┌─────────────────────────────────────┐│ POWER GRID MONITOR │├─────────────────────────────────────┤│ Voltage 230.4 V ││ Current 4.82 A ││ Power 1089 W ││ Energy 12.73 kWh ││ Temperature 36.4 °C ││ Frequency 50.02 Hz │├─────────────────────────────────────┤│ Status: 🟢 NORMAL │└─────────────────────────────────────┘
23. Web Dashboard
A custom web dashboard can provide a professional user interface.
Dashboard sections
Header
AI SMART POWER GRIDESP32 MONITORING SYSTEM
Device status
ESP32-GRID-01🟢 ONLINE
Live parameters
┌────────────┬────────────┬────────────┐│ VOLTAGE │ CURRENT │ POWER ││ 230.4 V │ 4.82 A │ 1089 W │└────────────┴────────────┴────────────┘┌────────────┬────────────┬────────────┐│ ENERGY │ TEMP │ FREQUENCY ││ 12.73 kWh │ 36.4 °C │ 50.02 Hz │└────────────┴────────────┴────────────┘
24. Dashboard Status Indicator
🟢 NORMAL🟡 WARNING🔴 CRITICAL⚫ OFFLINE
25. Dashboard Event Log
TIME DEVICE EVENT STATUS------------------------------------------------23:00:01 GRID01 NORMAL 🟢23:01:15 GRID01 HIGH CURRENT 🟡23:02:12 GRID01 OVER CURRENT 🔴23:02:13 GRID01 PROTECTION ACTIVE 🔴23:05:42 GRID01 SYSTEM NORMAL 🟢
26. Complete Data Flow
┌──────────────┐│ Electrical ││ Parameters │└──────┬───────┘│▼┌──────────────┐│ Sensors │└──────┬───────┘│▼┌──────────┐│ ESP32 │└────┬─────┘│Local safety check│┌──────┴───────┐│ │Normal Fault│ │└──────┬───────┘▼Wi-Fi│▼n8n│┌───────────┼────────────┐▼ ▼ ▼Database AI Agent Google Sheets│ ││ ▼│ Decision│ │└─────┬─────┘▼Web Dashboard│▼Telegram/ \Text Voice
27. ESP32 Software Architecture
The ESP32 firmware should be divided into modules.
main.cpp│├── sensor_manager│├── electrical_calculation│├── safety_manager│├── wifi_manager│├── cloud_manager│├── relay_manager│└── watchdog_manager
28. Example ESP32 Arduino Code
Below is a prototype software framework. The sensor-reading functions must be replaced with the actual calibrated, isolated measurement hardware you use.
#include <WiFi.h>#include <HTTPClient.h>#include <ArduinoJson.h>const char* WIFI_SSID = "YOUR_WIFI";const char* WIFI_PASSWORD = "YOUR_PASSWORD";const char* SERVER_URL ="https://YOUR-N8N-SERVER/webhook/power-monitor";const int RELAY_PIN = 26;const int LED_PIN = 2;// Example software thresholds only.// Do NOT use these values directly for a real electrical installation.const float MAX_CURRENT = 10.0;const float MAX_TEMPERATURE = 60.0;const float MAX_VOLTAGE = 250.0;float voltage = 0.0;float current = 0.0;float power = 0.0;float temperature = 0.0;String severity = "NORMAL";String eventName = "NORMAL";void connectWiFi() {WiFi.begin(WIFI_SSID, WIFI_PASSWORD);Serial.print("Connecting to WiFi");while (WiFi.status() != WL_CONNECTED) {delay(500);Serial.print(".");}Serial.println();Serial.println("WiFi connected");}void readSensors() {/*Replace these examples with readingsfrom your actual sensor circuitry.*/voltage = 230.0;current = 4.5;temperature = 35.0;power = voltage * current;}void safetyCheck() {severity = "NORMAL";eventName = "NORMAL";bool critical = false;if (current > MAX_CURRENT) {severity = "CRITICAL";eventName = "OVER_CURRENT";critical = true;}if (temperature > MAX_TEMPERATURE) {
29. Improved Production Architecture
For the final version, don't put everything inside loop().
Use:
FreeRTOS Tasks│├── Sensor Task│├── Safety Task│├── Communication Task│├── Data Logging Task│└── Watchdog Task
This makes the firmware much more robust.
30. AI Agent Decision Architecture
The AI agent can receive a structured event:
{"device_id": "ESP32_GRID_01","event": "OVER_CURRENT","current": 12.4,"voltage": 228.6,"power": 2834,"temperature": 48.2,"severity": "CRITICAL"}
The AI should return structured information:
{"classification": "CRITICAL","summary": "Over-current condition detected.","recommended_action": "Maintain protection state and alert operator.","notify_user": true,"voice_alert": true}
This is preferable to allowing arbitrary AI-generated commands to control hardware.
31. Agentic IoT Concept
The project becomes agentic when the system can perform a sequence of tasks rather than simply forwarding sensor data.
For example:
Observe↓Analyze↓Classify↓Decide↓Act↓Notify↓Record↓Verify
Example:
ESP32 observes:Current = 12.4 A↓n8n receives event↓Safety engine:CRITICAL↓AI Agent:Over-current event↓System:Protection active↓Telegram:Voice alert↓Google Sheets:Event recorded↓Dashboard:RED ALERT↓System waits for recovery↓Normal condition detected↓Telegram:"System returned to normal."
32. Fault-Recovery Workflow
FAULT│▼Protection Activated│▼Telegram Alert│▼Monitor Parameters│▼Is condition safe?│┌┴──────────┐│ │NO YES│ │▼ ▼Continue RecoveryProtection Logic│ ││ ▼└──────► Operator Notification
For a real electrical system, automatic re-energization should not be implemented casually. Recovery/reclosing must follow the characteristics of the equipment and the applicable protection design.
33. Web Dashboard Software Stack
A suitable stack is:
Frontend:HTMLCSSJavaScriptBackend:Node.js / Python / n8nIoT:ESP32Cloud:ThingSpeakAutomation:n8nStorage:Google Sheets / DatabaseAI:LLM-based AI AgentNotification:Telegram Bot
34. Example Dashboard HTML
A simple prototype can start with:
<!DOCTYPE html><html><head><title>AI Smart Power Grid</title><style>body {font-family: Arial, sans-serif;background: #101820;color: white;margin: 0;padding: 30px;}h1 {text-align: center;}.dashboard {display: grid;grid-template-columns:repeat(auto-fit, minmax(200px, 1fr));gap: 20px;}.card {background: #1d2a35;padding: 25px;border-radius: 15px;text-align: center;}.value {font-size: 32px;color: #00d9ff;}.normal {color: #00ff88;}.warning {color: #ffd000;}.critical {color: #ff4040;}</style></head><body><h1>AI SMART POWER GRID</h1><div class="dashboard"><div class="card"><h3>Voltage</h3><div class="value" id="voltage">-- V</div></div><div class="card"><h3>Current</h3><div class="value" id="current">-- A</div></div><div class="card"><h3>Power</h3>
35. Security Architecture
This project should include cybersecurity because the ESP32 is connected to the Internet.
Recommended:
ESP32││ HTTPS▼n8n│├── Authentication├── Validation├── Rate limiting└── Logging
Use:
- HTTPS
- authentication tokens/API keys
- secret storage
- strong Wi-Fi credentials
- n8n credentials management
- input validation
- device identification
- TLS where supported
- no hard-coded production secrets in public source code
36. Watchdog System
The ESP32 should use a watchdog strategy.
ESP32│├── Sensor task alive?│├── Communication task alive?│├── Safety task alive?│└── Watchdog│└── Fault → controlled restart
The local safety state should fail in a predictable manner.
37. Offline Data Buffer
If Wi-Fi fails:
Sensor↓ESP32↓Local buffer↓Wi-Fi unavailable
After reconnection:
Wi-Fi restored↓Upload buffered records↓Cloud database
For larger systems, use non-volatile storage carefully to avoid excessive flash wear.
38. Complete n8n Workflow
A practical workflow could look like:
[Webhook]│▼[Validate JSON]│▼[Normalize Data]│▼[Safety Rule]│├────────────── NORMAL ───────────────┐│ │▼ ▼[AI Agent] [Google Sheets]│ │▼ │[Severity] ││ │┌──┴───────────────┐ ││ │ │▼ ▼ │WARNING CRITICAL ││ │ │▼ ▼ │Telegram Protection │Text State ││ │ │▼ ▼ │Voice TTS Telegram ││ Voice │└──────────┬───────┴────────────────────┘▼[ThingSpeak]│▼[Dashboard]
39. Example n8n Pseudocode
TRIGGER:Receive ESP32 dataVALIDATE:Is device authenticated?Is payload valid?PROCESS:Calculate/verify:- voltage- current- power- temperature- statusSAFETY:If critical threshold:critical = trueAI:Analyze eventIF critical:Send Telegram textGenerate voice messageSend Telegram voiceLog eventELSE IF warning:Send Telegram textLog eventELSE:Log normal measurementALWAYS:Update dashboardStore historical dataUpdate ThingSpeak
40. Database Structure
For a more professional project, replace Google Sheets as the primary database with a proper time-series or relational database.
Example:
TABLE power_readingsiddevice_idtimestampvoltagecurrentpowerenergytemperaturefrequencystatuseventseverity
Google Sheets can then be used as a reporting/export layer.
41. Communication Protocol Options
You have several choices.
Option A — HTTP
ESP32 → HTTP POST → n8n
Simple and easy for an academic project.
Option B — MQTT
ESP32↓MQTT Broker↓n8n
Better suited to scalable IoT systems.
Option C — HTTP + MQTT
ESP32├── MQTT → IoT data└── HTTPS → commands/API
For a final-year project, MQTT + n8n can make the architecture look more like a real IoT platform, while HTTP webhook integration is easier to demonstrate.
42. Recommended Final Architecture
I would recommend:
┌───────────────────┐│ Electrical Sensors│└─────────┬─────────┘▼┌────────────┐│ ESP32 ││ Edge Node │└─────┬──────┘│MQTT / HTTPS│▼┌────────────┐│ n8n ││ Automation │└─────┬──────┘│┌───────────┼────────────┐▼ ▼ ▼Rule Engine AI Agent Database│ │ ││ │ ▼│ │ Google Sheets│ │└─────┬─────┘▼Decision Layer│┌─────────┼───────────┐▼ ▼ ▼Dashboard Telegram ThingSpeak│┌────┴────┐▼ ▼Text Voice
43. Project Demonstration
Your final demonstration can contain five test cases.
Test 1 — Normal condition
Voltage = normalCurrent = normalTemperature = normalResult:🟢 NORMAL
Test 2 — Over-current
Artificially create a safe simulated/low-voltage over-current condition.
Current > configured thresholdResult:🟡/🔴 ALERT
Expected:
ESP32 → n8n → AI → Telegram
Test 3 — Over-temperature
Heat the sensor using a controlled test method.
Temperature > threshold
Expected:
CRITICAL↓Telegram text↓Telegram voice↓Dashboard red status↓Event stored
Test 4 — Internet failure
Turn off Wi-Fi.
Expected:
ESP32 continues local monitoring↓Local safety logic continues↓Cloud communication unavailable
Then reconnect.
Wi-Fi restored↓Data synchronization
Test 5 — Recovery
Return the parameters to normal.
Expected:
FAULT↓Monitoring↓Normal condition↓Recovery event↓Telegram notification↓Dashboard GREEN
44. Flowchart
START│▼Initialize ESP32│▼Connect Wi-Fi│▼Read Sensors│▼Validate Readings│▼Calculate Parameters│▼┌─────────────────────┐│ Safety Threshold OK?│└──────────┬──────────┘YES │ NO│ ││ ▼│ Critical│ Event│ ││ ▼│ Local Protection│ │└────┤▼Send IoT Data│▼n8n│▼AI Analysis│┌──────┴───────┐▼ ▼Normal Abnormal│ ││ ▼│ Telegram Alert│ ││ ▼│ Voice Notification│└───────┬──────┘▼Store Data│▼Update Dashboard│▼Repeat
45. Schematic-Level Architecture
For the academic schematic, use:
ESP32┌───────────────┐│ │Voltage Sensor ─┤ ADC ││ │Current Sensor ─┤ ADC ││ │Temp Sensor ────┤ GPIO/I²C ││ │Relay Driver ◄──┤ GPIO ││ ││ Wi-Fi │└───────┬───────┘││ Wi-Fi▼Internet│▼n8n Server│┌──────────────┼──────────────┐│ │ │▼ ▼ ▼Google Sheets ThingSpeak AI Agent│ │└──────────────┬──────────────┘▼Web Dashboard│▼Telegram/ \▼ ▼Text Voice
For the actual electrical side, keep the sensor interface electrically isolated and use proper protection/isolation components. Do not put an ESP32 breadboard circuit directly across mains.
46. Project Modules
You can divide the project into 10 modules:
Module 1 — Sensor Module
Measures:
VoltageCurrentTemperaturePowerEnergyFrequency
Module 2 — ESP32 Edge Module
Sensor acquisitionFilteringLocal processingSafety logic
Module 3 — IoT Communication Module
Wi-FiMQTT/HTTPCloud communication
Module 4 — n8n Automation Module
Data ingestionProcessingRoutingNotifications
Module 5 — AI Agent Module
Event interpretationFault classificationRecommendation generation
Module 6 — Cloud Data Module
Google SheetsThingSpeakDatabase
Module 7 — Web Dashboard
Live valuesChartsDevice statusAlarm history
Module 8 — Telegram Module
Text alertVoice alertRecovery alert
Module 9 — Protection Module
AlarmRelay/contactor interfaceEmergency state
Module 10 — Security Module
AuthenticationHTTPSSecretsDevice identity
47. Expected Advantages
The system provides:
- real-time monitoring
- remote monitoring
- automatic fault detection
- AI-assisted analysis
- automatic notifications
- voice alerts
- historical data
- web visualization
- IoT cloud integration
- automation
- local edge protection
- scalable architecture
48. Limitations
The project should acknowledge:
- ESP32 ADC measurements require calibration.
- Low-cost sensors may have measurement errors.
- Internet connectivity can fail.
- AI decisions may be probabilistic.
- Cloud services can become unavailable.
- Google Sheets is not ideal for high-frequency telemetry.
- Real electrical installations require professionally designed protection.
- A prototype should not be treated as a certified grid-protection device.
49. Future Enhancements
You can extend the project with:
Predictive maintenance
Historical current+Temperature+Power patterns↓ML model↓Failure prediction
Load forecasting
Historical consumption↓ML model↓Predicted future load
Anomaly detection
Normal power signature↓AI/ML model↓Unexpected pattern↓Alert
Multiple ESP32 nodes
ESP32 #1 ─┐ESP32 #2 ─┤ESP32 #3 ─┼──► MQTT ─► n8n ─► AIESP32 #4 ─┤ESP32 #5 ─┘
This turns the project into a distributed smart-grid monitoring platform.
50. Final-Year Project Workflow
A practical implementation sequence is:
STEP 1Build ESP32 sensor prototype↓STEP 2Read voltage/current/temperature↓STEP 3Calibrate sensors↓STEP 4Implement local safety rules↓STEP 5Connect ESP32 to Wi-Fi↓STEP 6Create n8n webhook/MQTT workflow↓STEP 7Send ESP32 telemetry to n8n↓STEP 8Add Google Sheets logging↓STEP 9Add ThingSpeak visualization↓STEP 10Build web dashboard↓STEP 11Create Telegram bot↓STEP 12Add Telegram text alerts↓STEP 13Add text-to-speech↓STEP 14Send Telegram voice alerts↓STEP 15Add AI agent↓STEP 16Add event classification↓STEP 17Test fault scenarios↓STEP 18Add authentication/security↓STEP 19Perform reliability testing↓STEP 20Prepare final demonstration
51. Suggested Project Folder Structure
AI-Smart-Power-Grid/│├── ESP32/│ ├── main.cpp│ ├── sensors.h│ ├── sensors.cpp│ ├── safety.h│ ├── safety.cpp│ ├── wifi_manager.h│ └── cloud_manager.h│├── n8n/│ ├── workflow.json│ └── README.md│├── dashboard/│ ├── index.html│ ├── style.css│ └── app.js│├── telegram/│ └── bot_configuration.md│├── ai/│ ├── agent_design.md│ └── prompts.md│├── database/│ └── schema.sql│├── documentation/│ ├── abstract.md│ ├── introduction.md│ ├── methodology.md│ ├── architecture.md│ ├── testing.md│ └── conclusion.md│└── README.md
52. Final Project Concept
The complete project can be summarized as:
AI SMART POWER GRID│▼┌────────────────┐│ Electrical ││ Sensors │└───────┬────────┘▼┌────────────────┐│ ESP32 EDGE ││ INTELLIGENCE │└───────┬────────┘│Local Safety Logic│▼Wi-Fi/MQTT│▼┌────────────────┐│ n8n ││ AUTOMATION │└───────┬────────┘│┌─────────┼──────────┐▼ ▼ ▼AI Agent Database IoT Cloud│ │ │└────┬────┴──────────┘▼WEB DASHBOARD│▼TELEGRAM BOT/ \▼ ▼TEXT VOICE
Core innovation
The strongest way to present the project is not simply "ESP32 sends data to Telegram."
Instead, present it as:
An edge-to-cloud agentic IoT safety platform in which the ESP32 performs real-time sensing and deterministic local protection, n8n orchestrates the IoT workflow, an AI agent interprets abnormal events, cloud services maintain historical telemetry, and Telegram provides real-time text and voice communication to the operator.
That framing makes the project substantially stronger for a final-year engineering project, mini-project, prototype demonstration, or research-oriented IoT project.
Safety note: For your physical prototype, demonstrate switching/protection with an isolated low-voltage load unless the mains side has been designed, enclosed, protected, and tested by a qualified electrical professional. The ESP32, breadboard, USB wiring, and ordinary hobby relay modules should not be treated as mains-rated protection equipment.
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