Development of the Smart Drainage Recognition System using IndustrialInternet of Thing
Muhammad Shahid, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Abdullah Khan, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Iqtidar Ali, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Lala Rukh, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Zain-ul-Abidin, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Muhammad Tariq, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Corresponding Author:
Muhammad Tariq (tariqahmad825@gmail.com)
Abstract:
Water can have a detrimental impact on both commercial and non-commercial buildings, potentially resulting in structural damage or even complete destruction. Blockages in downspouts are a common issue, often caused by unknown substances that can lead to standing water and a host of related problems. Traditional methods of addressing blockages typically involve the use of local hired staff, but these approaches can be problematic due to issues such as worker negligence, inefficiency, and high cost. However, advancements in technology have yielded numerous smart drainage and sewerage systems that offer more effective solutions. One such system is the proposed smart downspout blockage detection system, which utilizes Internet of Things (IoT) technology. This article outlines the design and implementation of an intelligent real-time monitoring system for rainwater and sewage management, incorporating a range of components including a microcontroller, ultrasonic sensor, buzzer, solenoid valve, LEDs, and Arduino IDE. Communication between the system and the user is facilitated through the use of ThingSpeak cloud server and notification sending via Gmail with the IFTTT applet. In this way, the technology is able to provide real-time alerts to relevant authorities regarding water levels in smart houses and smart cities. To achieve this, a number of strategically placed sensor kits are utilized to monitor water levels in downspouts, with data transmitted via the internet to a cloud server for storage, processing, and analysis. The performance and accuracy of the proposed system is evaluated through case studies, which encompass safe, normal, and critical levels of water.
Keywords:
Internet of things (IoT); Sensor Kit; Cloud Server; Water Level; Waste Management