Since its launch, Sewermatics has set the standard for innovative applications of AI in the wastewater industry. Accurate, organized data is essential to sewer maintenance, and WinCan has combined digital workflows with cloud-based integrations to ensure data is always where it needs to be. Sewermatics takes that data a step further, processing and coding inspection media with unrivaled speed and efficiency.
When AIMS companies set out in 2007 to build a turnkey operation providing municipal and industrial inspection and cleaning services, they had no idea just how much sewer data their hard work would create. Today, they operate out of 17 locations across the United States and provide a wide range of municipal wastewater services. Among their most popular offerings is manhole inspection, which has seen increased demand in recent years. As a result, project completion rates increased and datasets began to swell.
Data management is quickly becoming one of the biggest challenges municipalities face. While data related to municipal assets can lend valuable insights, many communities are still learning how to analyze, manage and store data efficiently. When it comes to collection systems, the convenience of advanced sewer technology has allowed utilities to collect more asset and maintenance data than ever before. But until recently, the data flow from inspection to asset management teams has been hampered by unreliable internet connections, siloed sewer databases and slow data transfer methods. Today, sewer data is collected and processed with integrated software that can quickly transfer information from one industry-leading platform to another, updating municipal asset databases, in real time.
Sewer inspection software doesn’t exist in a void: It is only as valuable as the data you collect – and the equipment it integrates with. Smart system operators seek out flexible software that lets them pick the right equipment for the job, regardless of manufacturer.
Artificial intelligence, or AI, has entered the sewer market in a big way. Not only is it expediting sewer inspection workflows, it’s providing an avenue for data to be organized, analyzed and updated automatically. The rippling effects of AI-powered defect coding alone are quickly changing the way municipalities approach sewer maintenance and asset management. And with ROI often top of mind for most municipal sewer teams, WinCan’s Sewermatics is already delivering positive results for AI defect coding projects.
The wastewater industry is seeing shifts in core workflows, creating trends toward more efficient tech and more resilient infrastructure. In particular, use of artificial intelligence (AI) will continue to spread as municipalities migrate toward predominantly cloud-based workflows. But beyond technology, the United States is putting renewed effort into rehabilitating infrastructure, with more cities investing in sustainable, resilient sewer systems with the ability to adapt in the face of extreme weather.
WinCan has continued its innovative approach to sewer inspection by releasing new products and services this year. From powerful AI defect coding to entirely cloud-based inspection workflows, 2021 has been a full year for the development team at WinCan, and we are looking forward to an even better year in 2022.
Pipeline Assessment Certification Program (PACP) is a standardized system for coding sewer pipe inspection footage. At its core, PACP functions as a consistent language for wastewater professionals to use across all assessment activities, and it ensures that maintenance and management are completed quickly and properly.
As extreme weather events increase around the globe, cities are looking to create more resilient infrastructure to withstand and protect against floods, hurricanes, wildfires and other high-risk events. In addition to climate change, many municipalities already face I&I challenges, and aging infrastructure puts strain on local wastewater teams. When operators can’t keep up with routine maintenance and inspection, collection systems are at a higher risk of failure, and they stand little chance against significant weather events.