IoT-Based Monitoring and Rescue System for Predicting Harmful Gases and Fire Hazards in Work Environments

Abstract

An IoT-based monitoring system for detecting, predicting, and mitigating the risks associated with harmful gases and fires in work environments. The system integrates a network of smart sensors that monitor environmental conditions in real-time, utilizing advanced machine learning models to predict the risk percentages of harmful gases and potential fire incidents. In addition, the system features integrated rescue mechanisms, including emergency ventilation systems, automated sprinklers for fire suppression, and robotic evacuation units that help guide workers to safety. This comprehensive and proactive safety solution ensures that hazardous conditions are identified and addressed before they escalate, significantly reducing the risk of accidents and enhancing the overall safety of work environments.

Specification

Description:[001] The present invention relates to an Internet of Things (IoT)-enabled monitoring system for detecting harmful gases and fires in work field environments. More specifically, it pertains to a system that monitors gas concentrations, predicts the percentage likelihood of hazardous gases or fire events, and features a rescue capability to ensure worker safety.
BACKGROUND OF THE INVENTION
[002] The present invention relates to an Internet of Things (IoT)-enabled monitoring system for detecting harmful gases and fires in work field environments. More specifically, it pertains to a system that monitors gas concentrations, predicts the percentage likelihood of hazardous gases or fire events, and features a rescue capability to ensure worker safety.
[003] Further, the approaches described in this section are approaches that could be pursued, but not necessarily approaches that have been previously conceived or pursued. Therefore, unless otherwise indicated, it should not be assumed that any of the approaches desc , Claims:1. An IoT-enabled monitoring system for detecting and predicting the percentage risk of harmful gases and fires in a work field, comprising:
a plurality of smart gas sensors for detecting harmful gases;
flame and thermal sensors for detecting fire;
a central processing unit configured to receive and analyze data from the sensors;
machine learning models integrated into the CPU to predict the percentage risk of hazardous events; and
an IoT gateway for transmitting data to a remote monitoring station.
2. The system as claimed in claim 1, wherein the central processing unit is further configured to activate an emergency rescue mechanism comprising:
an emergency ventilation system for dispersing harmful gases;
a sprinkler system for fire suppression; and
robotic evacuation units for assisting workers in navigating away from hazardous areas.
3. The system as claimed in claim 1, wherein the IoT gateway supports communication protocols selected from Wi-Fi, LTE, and 5G.
4. The system as claimed in claim 1, further co

Documents