DEVELOPMENT OF ALERT AND VISUALIZATION FEATURES ON AN IOT-BASED SPRINKLER MONITORING SYSTEM WITH SENSOR INTEGRATION
The development of alert and visualization features on the Internet of Things (IoT)- based sprinkler monitoring system at XYZ company aims to address the shortcomings in the water detection sensor checks on the sprinkler monitoring system devices that are currently conducted manually by the relat...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/83380 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The development of alert and visualization features on the Internet of Things (IoT)-
based sprinkler monitoring system at XYZ company aims to address the
shortcomings in the water detection sensor checks on the sprinkler monitoring
system devices that are currently conducted manually by the related PIC (Person In
Charge). This final project aims to improve the sensor detection process
automatically, ensuring the readiness of sprinklers in extinguishing fires. By
replacing the manual checking method with an automated one, sensor data is
directly integrated into the system. This system uses Apache NiFi for processing
and sending notifications, and Grafana for data visualization. Any changes in sensor
status can be detected quickly and accurately, allowing immediate handling of
sensor conditions that should not occur. In-depth analysis of the manual checking
problem shows that long inspection intervals can increase the risk of undetected
fires.
The proposed solution involves continuously collecting sensor data, processing it
to detect conditions outside the threshold values, and presenting it in an easy-to-
understand visualization. The alert feature sends notifications via email and
Telegram to the PIC regarding conditions outside the threshold values on the
sensors. System implementation involves integrating sensors with Apache NiFi for
data management and InfluxDB for data storage. Grafana is used to visualize the
sprinkler conditions at various locations, helping the PIC efficiently identify and
address issues. The system evaluation assesses the accuracy and speed of alert
responses and the relevance of data visualization. The results show that the system
can provide notifications and relevant information in visualizations for sprinkler
monitoring. This system is expected to improve the readiness of sprinklers in
mitigating fire risks at XYZ company and similar entities. |
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