Wireless sensing system for the welfare of sewer labourers

Healthc Technol Lett. 2018 Jul 13;5(4):107-112. doi: 10.1049/htl.2017.0017. eCollection 2018 Aug.

Abstract

There is a growing demand for the environmental pollution monitoring and control systems. In the view of ever increasing sources of toxic chemicals, these systems should have the facilities to detect and calibrate the source quickly. Toxic gases are the ones that cause health impact but humans are being exposed to it in various situations. These gases have to be monitored such that increase in the normal level of them could be known and proper precaution measures can be undertaken. So, an embedded system is designed using a microcontroller with internet of things, for the purpose of detecting and monitoring the hazardous gas leakage, which aids in the evasion of endangering of human lives. The hazardous gases can be sensed and displayed each and every second, in proximity to one more sensor for tracking heart beats which help to monitor the condition of the sewer labourers. If both the gases along with a pulse detector exceeds the normal level then an alarm is generated immediately and also an alert warning message can be sent to the authorised administrator and as well to the nearest health center to make the sewer labourers feel comfortable with necessary first aid and possibilities with the treatment in the case of emergency. Once the message is received by the health center, they enforce their team with necessary first aid to the current location to save the sewer labourer. Once this system is established for a particular user this will completely become fully automated and does not need any other additional people for monitoring and alerting purpose. It has an advantage over the manual method in offering quick response time and accurate detection of an emergency.

Keywords: alert warning message; biomedical measurement; environmental pollution monitoring; first aid; fully automated; gas sensors; hazardous gases; health center; health hazards; heart beats; industrial accidents; internet of things; microcontroller; personnel; pulse detector; quick response time; sewer labourer welfare; toxic chemicals; toxic gases; wireless sensing system; wireless sensor networks.