Electronic Visits in Primary Care: Modeling, Analysis, and Scheduling Policies

Authors

  • D Sirisha
  • V Varalakshmi

DOI:

https://doi.org/10.46243/jst.2022.v7.i10.pp46-54-01

Keywords:

mobile application, coal mines safety monitoring, Smart Helmet

Abstract

Pakistan is endowed with vast coal reserves, primarily in Sindh, totaling 184.623 billion tons. Our country's market has been rapidly expanding. As we all know, accidents are becoming more often in mines due to a shortage of competent workers, miners' safety cannot be guaranteed, and coal manipulation is impossible. Men who are currently employed in coal mining must confront environmental constraints. Temperature, carbon dioxide, and methane are all threats to them. As a result, we must provide security for the men and women who are now employed in coal mining. The goal of this study is to provide a solution to mining through communication and security monitoring. Coal mining has a unique function in the modern world; it has the potential to save the lives of coal miners by creating particular gadgets that can be extremely beneficial to the industry's workers. People working in underground coal mines must utilize several characteristics such as smart helmets with sensors such as removers, collision detectors, gas detectors, and the helmet. Here, we must organize our circuit within the Smart Helmet in order to provide security to the man who is now employed in coal mining. Coal mining remains a hazardous activity that can have a variety of negative environmental implications, such as the discharge of hazardous gases during mining operations. The helmet is equipped with a Wi-Fi-based monitoring system that communicates with all of the trackers via Wi-Fi networks to provide data. As a result, the Smart Helmet indication takes the required precautions to avoid any potentially dangerous situations and sends out an alert through buzzer and Cloud Based Monitoring. The data is collected using ESP32 Arduino created tracker circuitry. It aids in the mapping of worker locations.

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Published

2022-12-30

How to Cite

Sirisha, D., & Varalakshmi, V. (2022). Electronic Visits in Primary Care: Modeling, Analysis, and Scheduling Policies. Journal of Science & Technology (JST), 7(10), 55–63. https://doi.org/10.46243/jst.2022.v7.i10.pp46-54-01

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