Matthew Mittelsteadt’s Post

As wild weather continues to play havoc with ageing infrastructure assets, inspection and maintenance strategies and approaches are once again a focus for discussion. Here's how AI-powered predictive maintenance systems can help... https://lnkd.in/gikK38mx George Dragatsis #AI #ArtificialIntelligence #PredictiveMaintenance #HitachiVantara

Water companies are using AI to predict & stop sewage spills. Read our latest blog post to find out more about how companies like NWG (Northumbrian Water Group) and Southern Water are using this new technology. Find out more here: https://lnkd.in/eTAV8Tr5

I recently came across a fascinating article discussing the role of AI in the water industry. The article, titled "How the Water Industry Is Transforming Submersible Pump Maintenance With AI," highlights how leveraging condition monitoring technology could revolutionize maintenance in the water industry. Water and wastewater companies worldwide face significant challenges, including aging assets, increasing regulations and sustainability requirements, and the impact of climate change. These factors put a lot of pressure on existing infrastructure and maintenance teams. As a result, many organizations are investing in new technologies and approaches to improve and optimize their operations. The article discusses how these new technologies, like AI, are helping transform the performance, efficiency, and reliability of pumps and other industrial assets. If you're interested in learning more about the potential of AI in the water industry, I highly recommend checking out the article: https://lnkd.in/drtH5qPv. #IndustrialAI #MaintenanceTech #WaterInnovation #SustainableInfrastructure #ClimateResilience #AIforIndustry

An excellent initiative by the the Bureau de normalisation du Québec (BNQ) "to reduce I/I into existing sanitary #sewersystems by exploring #datacollection and #analysis, identification of I/I sources, determination of appropriate levels of service, the development of I/I reduction strategies and an intervention plan, as well as ongoing maintenance practices." https://lnkd.in/eDusW2Rf #predictiveanalytics #flowmonitoring #IandI #stormwatermanagement #ML #AI #MachineLearning #ArtificialIntelligence #inflowandinfiltration $IAI.cn $CDTAF $7C5

Don't be intimidated by AI—think of it as a powerful enhancement to methods municipalities have trusted for decades! AI-driven leak detection is simply automating the familiar process of identifying leaks through flow and pressure anomalies. Traditionally, consulting engineers have dedicated hours to analyzing, reporting, and issuing work orders based on these indicators. With AI, we’re streamlining this work—quickly recognizing patterns, flagging anomalies, and even predicting potential issues before they escalate. The real innovation? Time savings and efficiency. With automated analysis, water utilities can act faster, cut down on labor-intensive tasks, and focus more on high-impact work that keeps water networks resilient. Embrace AI—it’s just a smarter, faster way to do what we know works! #waterinfrastructure #digitaltwins #assetmanagement #waterengineering #hydraulicmodeling #waterresourcemanagement #infrastructureplanning #digitalwatersolutions #engineeringconsulting #civilengineering www.hydralinksolutions.com

Is your industry struggling with aging infrastructure? ⚠️ The private sector in the United States has invested heavily in revolutionizing the way that critical maintenance of key infrastructure is planned and carried out in recent years. However,  the public sector has been very slow to adopt new technologies and so the maintenance of key assets such as roads, bridges and electrical towers, has yet to be streamlined through digitalisation in many cases. Our AI powered work execution platform offers innovative solutions that leverage the power of AI to streamline maintenance, prioritize resources, and keep our communities safe. 🚀 Read the full post and see how FYLD can bridge the gap! https://lnkd.in/e5HxbmUJ #infrastructure #AI #FYLD #BuildSmarter #SafetyFirst

With maintenance costs at record highs across the country, the use of AI is increasing the efficiency of local road upkeep, by predicting where and when works will be needed ahead of time. Here, we look at how the City of Canterbury Bankstown is using new technology to improve its road maintenance services. https://lnkd.in/g-zxK-2b

I'm usually posting about the amazing things we're doing in Manufacturing, but AI is versatile. In today's blog we discuss how AI can be a critical component in reducing the costs/efforts in maintaining and upgrading critical infrastructure such as our wastewater pipeline systems. It's a dirty job, but somebody has to do it.

Resilience is a Multi-Pronged Challenge in N.Y.-N.J. Region "New Jersey’s heightened climate change risk makes the push for infrastructure resilience critical in a state with close to 130 miles of mostly developed coastline, the third fastest-rising temperatures among U.S. states and a FEMA-recorded flood loss total that is second only to Texas. With such stats, Shawn LaTourette, commissioner of its Dept. of Environmental Protection, told the ENR NY-NJ Infrastructure Forum Sept. 16 that “climate mitigation touches every sector of our industry and society.”" "Bridge designers and managers face new challenges in planning for known risks but also for those that are less predictable but still within the realm of “known unknowns,” said Rizwan Baig, Port Authority of NY and NJ chief engineer. He said engineers have long designed for potential risk, but knowing how to address unexpected or still unknown impacts is a more uncertain and demanding task." #NewYork #NewJersey #Infrastructure #Engineering #Construction #structuralengineering #Resilience #DEP

The resilience of daily infrastructure assets hinges on organized data for monitoring and maintenance. Accessible critical information is key for identifying distressed assets promptly. Leveraging data organization, models, and AI aids in predicting and prioritizing maintenance needs. Immediate understanding of the weather conditions during construction, sourced materials, placement methods, and timing is vital for effective asset management. #Infrastructure #DataOrganization #AI