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Residential IoTIoT Middleware & Smart Home

NestCool — Smart Home AC Control

A custom IoT middleware layer that bridges Google Nest thermostats with existing CoolMasterNet AC infrastructure — enabling full thermostat-driven control of every AC unit in the home.

NestCool — Smart Home AC Control preview 1

Project Snapshot

Industry

Residential IoT

Project Type

IoT Middleware & Smart Home

Technology Stack

7

Technologies used

Project Brief

Project Overview

The customer was already using Google Home and Nest devices throughout their home but their installed AC units weren't supported by the Nest thermostat out of the box — no native integration, no official workaround, and replacing the ACs wasn't an option.

Fusion Softtech built NestCool — a Raspberry Pi running a Python-based middleware service that acts as the intelligent connector, listening for every thermostat change from Google Nest and instantly forwarding the right command to CoolMasterNet, which in turn controls the ACs.

Context

Client & Business Background

Client Profile

A homeowner with an established Google Home and Nest smart home setup, looking to extend thermostat control to existing AC units that lacked native Nest compatibility.

Business Need

The customer needed a custom integration that would make their existing, unsupported AC units respond to their Google Nest thermostat — without replacing any hardware and without manual intervention.

Highlights

Key Capabilities

Real-time Nest thermostat event listenerCommand translation for all AC modes (cool, heat, fan, auto)Always-on systemd service with auto-start on rebootSelf-healing fault tolerance for network and API interruptionsSecure authenticated connections to Google Nest API and CoolMasterNetStructured logging for full command history and diagnostics

Process

Delivery Scope

Execution flow from design to launch readiness.

  1. Architecture design for Raspberry Pi-based IoT middleware

  2. Python middleware service development and integration

  3. Google Nest API integration with real-time event handling

  4. CoolMasterNet command protocol mapping and implementation

  5. Systemd service configuration for always-on, auto-start operation

  6. Fault tolerance, recovery logic, and structured logging implementation

  7. On-site deployment and reliability validation

Engineering

Technical Execution

Engineering approach used to deliver reliability and performance.

  1. Built a continuously running Python service on Raspberry Pi capturing every Nest thermostat event in real time

  2. Designed a command translation layer mapping Nest events to CoolMasterNet's control protocol across all AC modes

  3. Integrated Google Nest API and CoolMasterNet with secure authentication and clean error handling

  4. Configured systemd for automatic service start on reboot, enabling fully unattended 24/7 operation

  5. Implemented recovery logic handling network drops, API timeouts, and unexpected device states without manual action

  6. Built structured logging to provide the customer with full command history and easy issue diagnostics

Stack

Technology Stack

PythonRaspberry PiGoogle Nest APICoolMasterNetREST APIsSystemdStructured Logging

Results

Impact Delivered

  • Full Nest control — all home ACs manageable directly from the Google Nest thermostat
  • No hardware replaced — existing AC units and CoolMasterNet kept entirely intact
  • Truly hands-free — always-on, self-recovering service with zero day-to-day management
  • Unified smart home — ACs fully integrated into the customer's Google Home ecosystem

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