Detection of Hazardous Gas using Wearable Wireless Sensor Networks for Industrial Applications

Autor: K. Loga, G. Vallathan, X. S. Asha Shiny
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Conference on System, Computation, Automation and Networking (ICSCAN).
Popis: In recent days, the professional and service sector is keep on increasing day by day. But, the safety measures become harder with respect to the employee. Wireless Sensor Networks (WSN) has been deployed in order to collect the physical parameters of the nodes and also for the effective monitoring by the usage of sensor. Around 64%of accidents happen due to the emission of toxic gases. In past years, the standards and safety measures of an employee in industrial plants have been drastically drops down. Moreover the energy efficiency in conventional system is also more critical. Owing to that, the death rate of the node is maximized and it does not support mobility among the nodes. Therefore, a unique framework has been proposed for this issue in order to overcome the difficulties involved in the conventional system. In conventional system, the precision rate of the gas leakage was not appropriate. In order to increase the rate of accuracy, the proposed system has been designed in such a way that enhances the mobility support, data rate and effective routing mechanism. This system also monitors measures the concentration level of carbon monoxide (CO), methane (CH4) and provide necessary alerts to the wearer. By utilizing the alert system in the working environment high level of enhancement gets implied which provides enough benefits to the society.
Databáze: OpenAIRE