Dru Crawley的动态

This week, I traveled to Washington, D.C. to attend an event at the U.S. Chamber of Commerce held during #InfrastructureWeek and focusing on the future of the power grid, highspeed rail, roads, airports and other critical infrastructure. One theme echoed by many of the speakers was digitization, digital twins, and AI. Small and large American cities are already working with #AI to improve public transportation, reduce traffic congestion, minimize power disruptions and blackouts, monitor road maintenance and do many other tasks. My Bentley Systems colleague Jeremy Shaffer spoke about how digital twins are helping make our water systems better, a crucial task as more people move to cities. “Anywhere from 20 to 30% of the water that’s put into the system is lost and unbillable,” Shaffer said. “When you are able then to utilize AI to see where some of those losses are occurring and fix them, you are helping improve your system and drive down costs.” Take a look at our story: (Thanks for the invite Katie Everett and David Lieberman) #digitaltwin #AI #infrastructure

We need to see more of this on our local highways and waterways - AI is transforming urban infrastructure management globally, addressing challenges related to aging infrastructure and global population growth. AI-powered solutions are optimizing maintenance, enhancing efficiency, and promoting sustainability in cities. From predicting water quality to optimizing traffic flow, AI is pivotal in creating smarter, more resilient cities. Learn more about the role of AI in urban planning: #AI #infrastructure #planning. https://lnkd.in/eK4Mp5xt

Florida's drawbridges, like the Bridge of Lions in St. Augustine, are not only charming landmarks but also essential infrastructure that play a crucial role in the state's transportation network. However, maintaining these aging structures can be challenging. During the recent Navigating the Future of AI and Transportation event hosted by Microsoft, city officials and industry experts including Bentley's David Lieberman, senior director for U.S. government relations, discussed how AI and other digital technologies can support and drive more efficient transportation infrastructure. Read the recap here: https://bit.ly/4gzDR7n #digitaltwins #AI #transportation #civilengineering #infrastructure

One of the key enablers of overhead powerline mapping is the advancement in remote sensing technologies. This newfound focus is driven by several factors, including the need for infrastructure maintenance, optimization of energy distribution, environmental considerations, and ensuring public safety. #overheadpowerline #overheadpowerlinemapping #powerlineclassification #powerline #gismapping #gis #powerlines https://lnkd.in/gMnN63bX

AI can revolutionize sewer inspection and management by enhancing efficiency, accuracy, and sustainability while enabling data-driven decision-making and reducing costs.??https://lnkd.in/eMyhzwSe

?? Introducing another groundbreaking algorithm poised to solve real-world problems with precision and efficiency! ?? Algorithm Spotlight: The Ford-Fulkerson Algorithm ?? In a world where efficient flow of resources is vital for economic growth and sustainability, optimizing flow networks poses a significant challenge. Enter the Ford-Fulkerson Algorithm, a powerful tool for finding the maximum flow in a network, revolutionizing transportation systems, network design, and resource allocation! ?? What is the Ford-Fulkerson Algorithm? The Ford-Fulkerson Algorithm is a method used to find the maximum flow in a flow network, which represents the movement of resources, such as water through pipes, electricity through power grids, or vehicles through transportation networks. It's like optimizing the flow of traffic on a highway to ensure smooth and efficient movement of vehicles. ?? How Does it Work? At its core, the Ford-Fulkerson Algorithm iteratively augments the flow along paths in the network until no more augmenting paths can be found. It uses a technique called "residual capacity" to identify paths with available capacity for increased flow, gradually maximizing the total flow through the network. ?? Real-World Problem: Imagine you're a civil engineer tasked with designing a water distribution system for a city. The Ford-Fulkerson Algorithm enables you to determine the maximum amount of water that can be transported from reservoirs to consumers through the network of pipes, ensuring adequate supply to meet demand while minimizing energy consumption and infrastructure costs. For instance, in a scenario where a city needs to optimize its transportation network to reduce traffic congestion and improve commuter experience, the Ford-Fulkerson Algorithm can be used to analyze traffic flow patterns, identify bottlenecks, and optimize traffic signals and lane assignments, resulting in smoother traffic flow and reduced travel times for commuters. ?? Why is it Important? What makes the Ford-Fulkerson Algorithm invaluable is its versatility and applicability across a wide range of industries and scenarios. From optimizing transportation networks and telecommunications infrastructure to designing efficient supply chains and energy grids, it empowers decision-makers to make informed choices and optimize resource utilization effectively. By harnessing the power of the Ford-Fulkerson Algorithm, we can build more resilient, sustainable, and efficient flow networks that enhance connectivity, promote economic development, and improve quality of life for communities worldwide. Join me as we explore the transformative impact of algorithms on real-world challenges. To know more, visit https://lnkd.in/gx2it6wX #AlgorithmSpotlight #FordFulkersonAlgorithm #FlowNetworkOptimization #ResourceAllocation #TechTalk #dsa #DSA #CompetitiveProgramming

Modern tech is doing more than just listening to trains We're making railways and railroads safer and more efficient turning vibration into information. Great to see the tech making mainstream news, and hopefully opening the eyes (and ears) of engineers as to some of the problems it can help railways solve, such as security and landslide or rockfalls detection #rail #railway #engineering #AI #machinelearning

Cyvl.ai: Leading the AI Transportation Revolution Cyvl.ai, founded by Daniel Pelaez at Worcester Polytechnic Institute, applies AI and sensors for digitizing transportation infrastructure, focusing on predictive maintenance. Securing a $6 million investment, they partner with civil engineering firms, transforming municipal transportation management. Their AI-driven strategy streamlines data-driven decision-making, replacing manual processes with innovative technology. #Cyvl #AI #TransportationRevolution #PredictiveMaintenance #Innovation #DigitalTransformation #CivilEngineering #DataDriven #DecisionMaking

Digital Twins for Australia's transport infrastructure – Are we there yet? During my visit to Norway earlier this year, I was struck by their national mandate requiring the use of 3D modelling and Digital Twins in construction projects. This forward-thinking approach can potentially reduce infrastructure operating costs by up to 35%, cut carbon emissions, enhance workplace safety, and elevate user experiences. Digital Twins also support future connected vehicle technologies through real-time updates to maps. A Digital Twin integrates real-time sensor data to create a virtual model that mirrors the current state of physical infrastructure. This data-driven model allows for precise condition assessments, forecasting of future performance, and operational optimisation. With Digital Twins, predictive maintenance, anomaly detection, and improved operational efficiency become reality. The sensors used depend on the infrastructure type and the goals of simulation or optimisation. During a recent U.S. study tour, I explored cutting-edge sensing technologies for asphalt and concrete pavements. At MnROAD, fibre-reinforced concrete test cells are equipped with advanced sensors such as joint opening sensors, dynamic strain gauges, vibrating wire strain gauges, and thermocouples, measuring how pavements respond to traffic and environmental factors. Similarly, at the FAA's National Airport Pavement Test Facility (NAPTF), I observed the integration of static and dynamic sensors that capture data on temperature, moisture, strain, and deflection. The U.S. Army Engineer Research and Development Center (ERDC) is pioneering sensor technology as well. Their 'Smart Runway' project at Hill Air Force Base in Utah uses a range of sensors, including earth pressure cells, asphalt strain gauges, and multi-depth deflectometers to monitor the long-term performance of asphalt pavements under varying conditions. Australia is also making strides. In 2018, I had the privilege of attending early discussions at Macquarie University that preceded the establishment of SmartCrete CRC. At the time, the university had already developed sensor prototypes for monitoring concrete structures. These sensors, designed to measure temperature, pH, corrosion rates, and stress/strain, exemplify the potential for real-time performance and durability monitoring of concrete pavements. While Australia is steadily adopting Digital Twin technologies, progress in on-site instrumentation has been very slow, limiting the potential for comprehensive simulations. By fostering greater collaboration with the global Digital Twin community, Australia could emerge as a leader in transport infrastructure innovation—paving the way for a more resilient, sustainable, and intelligent infrastructure. #DigitalTwin #smartpavement #concretepavement #asphaltpavement #resilientinfrastructure #sustainablesolutions