Building a Temperature Monitoring System

How to Build a Temperature Monitoring System

Learn how to implement a complete temperature monitoring solution using M2M gateways and cloud integration.

Project Overview

This guide will help you build a system that:

• Monitors temperature from multiple sensors
• Sends data to cloud platform
• Triggers alerts when thresholds are exceeded
• Provides real-time dashboards and reports

Figure 4: System Architecture Overview

Required Components

1. Hardware:
   • M2M-7350 Gateway (1x)
   • Temperature sensors (PT100/PT1000) (4x)
   • DI-8055 Data Acquisition Module (1x)
   • RS-485 cable
   • Power supply (12V DC)
2. Software:
   • Gateway configuration utility
   • Cloud platform account (AWS IoT, Azure IoT, or similar)

Step 1: Hardware Setup

Connect your components:

1. Connect temperature sensors to DI-8055 analog inputs (AI0-AI3)
2. Connect DI-8055 to gateway via RS-485 (A, B terminals)
3. Connect gateway to network via Ethernet
4. Power up all devices

Step 2: Configure Data Acquisition

Configure the DI-8055 module:

1. Set Modbus slave address (default: 1)
2. Configure analog inputs:
   • Input type: PT100/PT1000
   • Temperature range: -50°C to 150°C
   • Sampling rate: 1 second
3. Enable data averaging for stability

Step 3: Gateway Configuration

Configure the M2M-7350 gateway:

// Modbus RTU Settings
Port: COM1 (RS-485)
Baud Rate: 9600
Data Bits: 8
Parity: None
Stop Bits: 1

// Device Mapping
Device 1: DI-8055 (Address: 1)
  Register 0: Temperature Sensor 1
  Register 1: Temperature Sensor 2
  Register 2: Temperature Sensor 3
  Register 3: Temperature Sensor 4

// Polling Interval
Scan Rate: 5 seconds

Step 4: Cloud Integration

Connect gateway to cloud platform:

1. Configure MQTT settings:
   • Broker: your-cloud-endpoint.com
   • Port: 8883 (secure)
   • Client ID: gateway-001
   • Username/Password: from cloud console
2. Define data topics:

   devices/gateway-001/temperature/sensor1
   devices/gateway-001/temperature/sensor2
   devices/gateway-001/temperature/sensor3
   devices/gateway-001/temperature/sensor4

3. Set publish interval: 10 seconds

Step 5: Set Up Alerts

Configure temperature thresholds:

Step 6: Create Dashboard

Build visualization dashboard with:

• Real-time temperature gauges
• Historical trend charts (last 24 hours)
• Alert status indicators
• System health monitoring

Testing & Validation

1. Verify sensor readings are accurate
2. Test alert triggers with simulated temperature changes
3. Confirm data is reaching cloud platform
4. Validate dashboard displays correct data

Next Steps

Enhance your system with:

• Add more sensor types (humidity, pressure)
• Implement predictive maintenance using ML
• Create mobile app for remote monitoring
• Integrate with SCADA system