Intelligent sewer blockage detection system using Internet of Things

Despite being a common issue in both developed and developing countries, wastewater blockages have severe potential consequences. Blockages can be located at sewer mains or individual properties and can also be classified as partial or full. Full blockages completely obstruct a wastewater asset, and partial blockages will often develop into full blockages if left unattended. Currently, blockages are managed by routine manual inspections to wastewater assets on a round-robin schedule. This is highly inefficient and costly, as blockages that form between these inspections and progress to effluent breaches will go undetected. In this thesis we present an Internet of Things (IoT) solution capable of simultaneously monitoring an entire wastewater infrastructure for blockages while still remaining inexpensive, reliable, and practical. Wireless motes use float switch sensors to detect blockages and transmit this to a central system using either LoRa or Wi-Fi communications. Making both LoRa and Wi-Fi available ensures the system can be adapted in any situation across a variety of geographic and economic restrictions. The central system determines whether a surcharge is caused by a blockage or simply the result of regular activity not requiring intervention. Detection of false positives is critical, as deployment of field technicians is an expensive process that moves resources from other skilled work. If a surcharge is determined to be caused by a blockage, the central system will classify it as full or partial before estimating the property or length of main between properties it is located at. Following this, relevant parties will be notified so field technicians can be deployed to resolve the blockage. We performed both practical laboratory testing and simulation modelling on our proposed system, and confirmed it is indeed capable of detecting, classifying, and locating blockages across a wide urban area. Our choice of hardware, software and network equipment ensures that the proposed IoT-based solution is inexpensive, workable, and easily deployable.Masters by Researc