Case Study

Small Scale IoT – Monitoring Temperature & Humidity


IoT, remote monitoring, smart monitor and some other related words seems become a hot topic among industry players nowadays. For certain industrial owners, monitoring device can be painfully expensive to purchase. Also in some scenario, implementing remote monitoring does not resolve the existing issue and the investment on the expensive equipment could fail. The best way to reduce the risk is to execute a Proof of Concept (PoC) activity, in which work is focused on determining whether the idea can be turned to reality with the expected outcome, or otherwise. 

Low-Cost Equipment

There are multiple of low-cost equipment available in the market right now and one of it is Raspberry Pi. Raspberry Pi is a low cost, small sized computer that has a capability of doing everything you would expect a desktop computer to do. What is more, it has the ability to interact with many devices with the supported programming languages inside the Raspberry Pi. 

Rooms Condition Monitoring Dashboard

Monitoring a particular condition such as temperature and humidity could help in identifying the changes that could indicate a developing fault, especially in food industries. It is a major part of predictive maintenance as implementing condition monitoring allows for early countermeasure to be done.  



The purpose of this concept is to monitor the room condition (temperature and humidity) remotely from the cloud dashboard. Raspberry Pi will be used as the processor and the gateway to deliver the sensor data to the Time Series Database. From the database, the gathered data will be visualized through the cloud-based dashboard. 


The equipment that are used for this PoC, 

  • Raspberry Pi 4 Model B 4GB 

  • SanDisk Ultra Fit CZ430 Nano USB 3.1 32GB 

  • DHT22 Humidity Sensor 

  • Resistor 0.25W 5% (10K) 

  • Wires 

  • Raspberry Pi Case 




Once the hardware and setup are completed, we can have a test and view the data gathered in the database. There are many options available on how to visualize the data, for this PoC, we are using Grafana Cloud since it is more cost-efficient for visualizing and managing data from a small-scale IoT system environment. 

You can view our completed live dashboard by clicking the image below.

In Mind

Since Raspberry Pi is a highly capable IoT starter tools, we are also exploring the idea to utilize Raspberry Pi for machine-to-machine (M2M) communication via machine’s PLC. Information and data from the machineries will be collected for the convenience of remote monitoring the machine’s efficiency and earlier detection of any issues. Stay tuned… 

You may contact us if you are interested in doing small scale IoT project on your premises. 

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