RedZone Robotics, a Robotics as a Service (RaaS) firm, announced a partnership agreement with VODA.ai, a provider of pipeline prioritisation information through the use of proprietary machine-learning software.
RedZone Robotics’ new IntegrityPRO powered by VODA.ai is a revolutionary risk-reduction, predictive analytics solution using spatial relational tools and pipe condition assessment data.
Municipal utilities are faced with the responsibility of managing many infrastructure assets, including wastewater collection systems. Proper management, operation, and maintenance of these assets provides communities with adequate capacity and reduces controllable overflows. To properly assess a collection system’s condition, utility managers need to know where to look first and how to gauge an asset’s condition without physical inspection.
A utility’s condition assessment program should include a prioritisation of assets, along with a planned course of inspection to determine their condition. Historically, sewer infrastructure managers have relied on reactive measures, customer complaints, or asset age alone to combat failures. IntegrityPRO leverages RedZone’s data warehouse of over 100 million feet of inspections, coupled with VODA.ai’s DaVinci ML engine. IntegrityPRO software can now provide system owners with complete asset prioritisation and predictive assessment insights, allowing them to manage their sewer infrastructure proactively.
“Managing wastewater infrastructure is a tricky business. Asset managers have their work cut out for them when it comes to knowing where to look first,” says Dave Petrosky, CEO of RedZone Robotics. “Some sewer systems have thousands of miles of pipe. With VODA.ai, we can now help utilities with limited infrastructure budgets accurately pinpoint exactly where to inspect first. We can also determine, with a high degree of accuracy, the condition of segments of the system that are difficult to access and inspect.”
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In the US alone, there are over 800,000 miles of public sewers, with demand on treatment plants growing by 23 per cent in the next few years, according to the American Society of Civil Engineering (ASCE). Wastewater infrastructure in poor condition increases the number of sanitary sewer overflows (SSOs), a release of untreated or partially treated sewage from a municipal sanitary sewer. The US Environmental Protection Agency (EPA) estimates that at least 23,000 to 75,000 SSO events occur in the United States each year.
“Unlike traditional prioritisation methods, we’ve created an artificial intelligence approach that is the most effective in the industry and costs only a fraction of the savings realised,” says George Demosthenous, CEO of VODA.ai. “Not only can this technology help utilities deal with SSO issues, but it can also save millions in unnecessary rehabilitation projects, reduce infrastructure failure, and reduce the thousands of hours it typically takes to prioritise a collection system.”
Together, VODA.ai and RedZone Robotics will provide asset owners and operators with a comprehensive assessment and prioritisation of their wastewater infrastructure. Using RedZone Robotics’ suite of state-of-the-art condition assessment technologies and IntegrityPRO, powered by VODA.ai, asset managers can more efficiently safeguard their infrastructure and optimize limited budgets. VODA.ai’s technology will seamlessly integrate with RedZone’s IntegrityPRO Software as a Service (SaaS) platform.
