Smart home Temperature Monitor System

The Problem / About the project

Have you ever left your house and accidentally left your lights on or forgotten to fix the thermostat? Nowadays, there is a lot of electricity loss caused when we accidentally keep the lights, fans, and AC of our home ON. This is a common scenario and leads to a massive electricity loss of a household.

The proposed project performs indoor and outdoor temperatures forecasts that are used to manage the on/off switching of the air conditioner system and the regulation of the indoor temperature.

Control your temperature based on the weather outside, the time of day, or whether you are at home. A smart thermostat system can help you lower your heating and AC bills each month by optimizing the times that it runs.

Nowadays, everybody wants to have a smart home and one of the most important hardware that a house needs is a thermostat with humidity control. So, this project is about combining smartness with the thermostat. That means the home users will be able to see the live temperature and humidity of their house from their phone (smartphone app) or a local webserver. The device is programmed so that if the humidity is not on a normal level in conformity with the outside temperature, then it will notify the users and if it is connected to a smart humidifier or dehumidifier to start them depending on the situation. This same goes for room temperature with heating and air conditioning.

With temperature control automation, you can adjust the home temperature to the level that suits you best. Smart thermostats control the temperature based on configurations set by users in accordance with their preferences. These controllers can check your current activity and change the temperature accordingly.

The Solution / How this Project works?

This summer season is pretty hot with vast electricity consumption. But there are times when the air conditioner is still running when the weather is cooler. To reduce the energy cost, we are looking into designing and developing a device that monitors environmental conditions to control heating/cooling systems using the temperature-, humidity-, and pressure sensor of Thingy:53.

With Thingy:53 built-in sensors, it allows us to wirelessly transfer sensor data over Bluetooth LE to the mobile device and upload it to the cloud for training and download trained ML models to the Thingy:53 for deployment and inferencing.

The model can then be wirelessly deployed to the Thingy:53. Inferencing is performed by the Thingy:53 and the results can be viewed in the app