*4.3.2.2.2.2 Density*

**Figure 55a** and **Figure 55b** show the variation density of gasoline according to temperature change at average 25.32C<sup>o</sup> and 34.46 C<sup>o</sup> respectively, where the effect of

**Figure 52.**

*Gasoline temperature as shown on dashboard.*

**Figure 53.** *Percent evaporated for gasoline on dashboard.*

#### **Figure 54.**

*Percent evaporated for diesel on dashboard.*

#### **Figure 55.**

*The density of gasoline vs. temperature on the dashboard.*


#### **Figure 56.**

*Temperature and humidity are being monitored on the dashboard for two states from the second fuel station (a and b).*


#### **Figure 57.**

*Timeseries table on the dashboard.*

temperature appears with 25.32C<sup>o</sup> the density becomes 712 kg/m3 and then this density decreases to 7.6 at 34.46 C<sup>o</sup> .

### *4.3.2.2.3 Petrol station monitor system-temperature and humidity weather*

DHT11 sends temperature and humidity information to a ThingsBoard server installed on a Raspberry and displays this information on the ThingsBoard dashboard, so that the fuel station is monitored and any station that sends its information on the access token and the identity of the device that is connected to the display dashboard. **Figure 56a** and **Figure 56b** shows the temperature and humidity of the second fuel station for two different states as they appear on the dashboard monitoring the three gas stations. Monitoring the temperature of the fuel and its consequences in determining the evaporation rates of fuel (gasoline and diesel fuel), as well as determining the density and the consequent determination of whether the fuel is tainted with invalid mixtures. Monitoring these coordinates from a fuel station whose client MQTT is microcontroller ESP-32S. All of these variables are monitored on the dashboard of the ThingsBoard server as shown in **Figure 57** in timeseries table of the dashboard.

### **5. Conclusions**

The smart petrol station system is expected to solve various problems as stated in the first chapter. This project has added a new technology in which a wireless communication can be established between petrol station stations to monitor and control a system which may be located hundreds of kilometers away. Thus, the monitoring process of the petrol station stations can be simplified by this technology. The

implementation and test the automation system which build based on IoT leads to the conclusions below.

