Page 72 - IJEEE-2022-Vol18-ISSUE-1
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68 |                                                             Jumaa, Abd.ulkhaleq, Nadhim, & Abbas

           VIII. BLYNK’S IOT PLATFORM RESULTS

   When a gas leak occurs, a message warning of the
presence of leaked gas will be sent to the mobile phone
interface as shown in Fig. (8) below which clarifies the Blynk
app. notification.

Fig. 8: Blynk app notification.                                    Fig. 9: Blynk app notification for gas leakage case.
                                                                 Fig. 10: Blynk app notification for no gas leakage case.
Fig. (9) illustrates a Blynk warning message of gas leakage

case, the amount of gas which is the gas sensor reading can

be seen. For example, the gas level was (192), which

exceeded the threshold limit (140). While Fig. (10) illustrates

the value of the data sensor reading (75) which does not

exceed the threshold limit (140), so it represents the normal

condition of the system in terms of no gas leakage.

It should be mentioned that the system status is based on

the following table.

                      TABLE 2

Threshold of Gas Detection.

MQ2 Sensor Reading             Status

< 140                    No gas leakage
= 140                 Gas leakage detected

   IoT Thingspeak platform is used to record the readings of

the MQ2 gas sensor. Fig. (11) views the readings that

performs the LPG intensity in the gas leakage location.
   Fig. (12) shows the details of ‘Field1’ from 8 fields

available in the Thingspeak’s channel. The starting of the

leakage is also illustrated in the figure.

From Fig. (12), starting of the gas leakage is clear in the
details of the Thingspeak’s field1 where the gas sensor

reading was 141 which presents the gas intensity in the

atmosphere with 14.1%.
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