It is easy to see the benefits of collecting accurate and up-to-date data for infrastructure, construction or other large-scale projects. With better data comes improved abilities to make decisions, which can reduce waste, better allocate staff and resources, and eliminate re-work or other costly mistakes. The actual collection of data – and its management – however, is not as simple as pushing a button. This conference track discusses the best practices for collecting, integrating and fusing data from various sources, and how best to put to use the data once collected.
Session moderated by Jonathan Murphy, GoGeomatics Canada
Data Driven Digital Practice
Harvesting data from Revit models is only the start of developing a proactive data-driven documentation process. I'll show how connecting multiple layers of curated data from across your firm can significantly increase efficiency and notify team members of potential complications. This presentation will walk you through the technical and managerial steps to create a proactive quality control process focused on performance-driven data collection. Multiple software programs will be discussed to connect, harvest, and display the information needed to help teams be more aware and efficient during project development.
– Identifying and gathering pertinent firm metrics to create an action plan.
– Curating BIM data to reduce data noise and support best practices.
– Connecting Business, Project, and BIM data.
– Developing Dashboards for various levels of management.
– Expanding data-driven culture.
We'll discuss how project development incorporates multiple data points that, when shared with the appropriate people at the right time, can inform departmental decisions and result in resource savings firm-wide. To close the session, we'll review scalability and potential technological and managerial challenges.
Brian Strydom, FXCollaborative Architects LLP
MJ4D – An Agile and Platform Agnostic Digital Twin
This presentation will discuss ways in which a digital twin can be leveraged to help communities with some of their most vexing information management challenges. In addition to reduced budgets, minimized staffing, and deferred maintenance, municipalities are often faced with outdated mapping, incomplete asset inventory and insufficient existing conditions of community infrastructure.
The digital twin serves as an infrastructure data management tool which can integrate with other digital information sources and supports community infrastructure maintenance activities. The modern basemap is no longer a static image or plan set, but rather an immersive collection of datasets from multiple sources that leverage the efficiencies of the latest technology to provide rich datasets which maximize value and make the data accessible to non-traditional user groups.
We will examine the latest technology used to create the modern digital twin including 3D laser scanning, mobile LiDAR and UAV imagery. The presentation will examine a variety of digital twins that have been assembled for agencies and municipalities around New York State and New York City.
Michael Koterba, Engineering and Land Surveying, P.C.
The Benefits of Data Driven Digital Twins
Managing data from yesterday, years ago, or preparing for the future can seem like a daunting task. The key is to set a vision and just take the first step to get started. Learn, adapt and be agile.
Bringing together files from other vendors into a single location to view and interact with may have seemed overwhelming before now. Adding reality data from drones or LiDAR, and incorporating IoT or live field sensor data, might also have created some anxiety.
What if you want to capture data across companies, prime contractors, vendors, or even phases of a project? We will go over a couple of lessons learned, some things to look out for, and the outcomes when you can see the information collectively across file types and various origin points with digital twins.
Kyle Reeder, Bentley Systems