Krish Hariram is the Senior Spatial Specialist at Arup. We caught up with Krish ahead of his session on Day 1 of the Future Infrastructure Summit in Brisbane on combining IFC design data with BIM information for online platforms.
I started off as a spatial analyst with a heavy GIS background, but eventually branched out into Surveying. The technology used in surveying got me curious on how we can encompass all the data (not only spatial) that we either capture or source to increase the efficiency and accuracy of our designs, solutions & assist us in solving our everyday problems. Being in the digital space allows me to be sector agnostic and help in many multidisciplinary projects which leads to different types of data and different problems which require anywhere from general to specific solutions.
The challenge in the innovation is what gets me most excited about this work. Building a solution for one problem, but then realising that parts of the same solution can help with other problems. This evolution in innovation is what I enjoy. There is also never one solution for every problem, which means there is always going to be new developments and new technologies to help us do what we want.
Bill gate’s “Sanitation Without Sewage”. Something not in our field, however Bio-toilets seem like an amazing invention to reduce sewage but also has the potential to generate energy. Cost-effective, ecofriendly and sustainable, it can be seen as a solution for many countries sewage problems, or there lack of a proper sewage system.
Automated timesheet system. I still write down my hours on a notepad and then put them into a TSS.
I will be presenting about how we can use BIM design data on an online platform as part of a delivery tool. We have come up with a method on extracting geometry traits from IFC formats generated by BIM software’s and converting the data to a GIS friendly format to share with the rest of the project team on an online platform throughout the lifecycle of the project.
Predictive maintenance on infrastructure. This would help save man hours on inspections and reduce the costs associated with human error. Using machine learning and historical records to associate a predictive algorithm which will continue to learn as more data is fed into it.
See Krish at Day 1 of the Future Infrastructure Summit in Brisbane, 28th October 2019.