BACK-END DEVELOPMENT FOR AN IOT-BASED EARLY WARNING AND MONITORING SYSTEM IN LOW-RESOURCE INFRASTRUCTURE ENVIRONMENT
This research focuses on developing a backend for an IoT-based monitoring and early warning system in coal mines, aiming to improve work safety, operational efficiency, and productivity. The system is designed to collect, transmit, and store real-time data from image processing and sensors on min...
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Main Author: | |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/85264 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | This research focuses on developing a backend for an IoT-based monitoring and
early warning system in coal mines, aiming to improve work safety, operational
efficiency, and productivity. The system is designed to collect, transmit, and store
real-time data from image processing and sensors on mining vehicles, as well as
accommodate load spikes. Using a microservices architecture with NestJS, the
system consists of three main services and two API Gateways, integrating MQTT
protocol for IoT and HTTP for the frontend. Test results demonstrate the system's
reliability in data collection and storage, promising significant improvements in
coal mine safety and operational efficiency.
The uniqueness of this system lies in its ability to adapt to limited network
infrastructure at mine sites, the use of data compression for bandwidth efficiency,
and integration with existing systems for comprehensive worker safety analysis.
System evaluation includes performance and scalability testing, with results
showing the ability to handle simultaneous deviation recordings with better
average response times compared to similar monolithic systems, as well as
improved effectiveness compared to manual recording systems. |
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