Exploring the Digital Twin concept for use in civil infrastructure – Presented by Joep Paulissen, TNO, at Intelligent Sensor Networks Conference, on January 18, 2019, at Rotterdam AHOY, The Netherlands.
In 2018 the TNO Unit Building, Infrastructure and Maritime initiated research activities into the use of the Digital Twin concept for civil infrastructure. With the aim of ‘Learning by Doing’ we selected a relevant case study within our context of assessing the reliability of bridge structures.
By connecting TNO knowledge on relevant IT techniques with our domain knowledge on steel bridges we created first relatively simple digital twin of a steel bridge deck susceptible to fatigue cracking. Continue reading “Exploring the Digital Twin concept for use in civil infrastructure – Presented by Joep Paulissen, TNO”
Making infrastructure smart: From concept to reality – Presented by Yves Van Ingelgem, Zensor, at the Intelligent Sensor Networks Conference on November 08, 2017, at High Tech Campus Eindhoven, The Netherlands.
Operational and maintenance costs of the infrastructure we use on a daily basis are increasing significantly. Also very often we are confronted with delays, congestions or even accidents related to the state of our infrastructure. An optimal solution for this all would be smart structures. These are often talked about, but seldom realized. This presentation will showcase a number of real structures, such as bridges, that are instrumented with various types of sensors and where the sensor data is used in optimization or steering of daily operations. In a subsequent stage these structures will be followed by smart algorithms that will notify the owner or operator when maintenance is required or when things threaten to go South. Continue reading “Making infrastructure smart: From concept to reality – Presented by Yves Van Ingelgem, Zensor”
New fiber-based sensor could quickly detect structural problems in bridges and dams. Today, there is great interest in using distributed sensors to continually monitor the structural health of large structures such as dams or bridges. With 1 million sensing points, a newly developed fiber optic distributed sensor could offer significantly faster detection of structural problems than is currently available. Continue reading “Improving sensor performance for avoiding problems in bridges and dams”
“Why There Is an Increasing Demand for Smart Information to Keep our Infrastructures Safe”- explained by Philip Keenan, CSIC Cambridge
Philip Keenan runs business development for Cambridge University’s Centre for Smart Infrastructure and Construction. He explains why there’s an increasing demand for smart information to keep our infrastructures safe. Continue reading ““Why There Is an Increasing Demand for Smart Information to Keep our Infrastructures Safe”- explained by Philip Keenan, CSIC Cambridge”
On Monday, the Obama administration announced a $160 million, multi-department initiative to fund smart cities research nationwide, with the goal of using sensors and data networks to tackle problems from crime to traffic to environmental cleanup. Continue reading “US Government announces $160 million initiative to fund smart cities research nationwide”
Our public transport infrastructure has never been busier, with ever-increasing demand and pressure. High concentrations and volumes of people in public transport stations during rush hours pose significant risks to passenger safety and hinder optimised use of the available system. Ahead-of-time prediction of passenger flows has the potential to provide asset managers with the ability to foresee emergent congestion and and other unexpected interruptions and allow them sufficient time to act early, mitigate the impact of excessive demand and improve passenger safety and comfort. Continue reading ““Crowd Sensing, Crush Prevention”, Presented by Vassilis Zachariadis, CSIC, University of Cambridge”
When it comes to sensing, scope, cost and access have long been a problems facing engineers in the field. So, the aim was to develop a tool that was genuinely needs-led. The development process for UtterBerry took that needs-led approach – How can we make it tiny? Use virtually no energy? Make it last? Make it really meaningful? Make it affordable? Make it – quite literally – stick? Continue reading “Heba Bevan, CSIC, University of Cambrige, Presents: “Little Sensors, Big Data””