We are at a point where technology no longer is a barrier to developing intuitive and powerful systems that both monitor our buildings energy consumption patterns across campus and allow us to proactively manage those systems to drive down our energy consumption over time. Will we wait until oil prices rise again before we start to take advantage of these capabilities?
In previous posts on this topic, I have discussed some of the more important communities that have requirements for 3D city models and some of the common use cases that they share. In this final post in the series, we will look at some of the tool sets that I hope will evolve in the near future.
In my last post, I talked about some of the more important communities of interest that have needs for comprehensive 3D city models. In this post, I will try to think through what the most common use cases are that would be helpful to users of 3D city models regardless of their specific interests. In the final post of this series, I will describe some of the tool sets that we need to author, publish, and consume these models effectively.
At PenBay, we have spent a significant amount of time over the past several years working on ways to model the insides of buildings in GIS. I have written repeatedly about the subject and it is an area that continues to fascinate me. On my recent trip to Vancouver to speak at the GeoWeb 2009 conference, however, I was inspired by Thomas Kolbe’s work on CityGML to think more about collections of buildings and how they work together in an urban environment
I learned a LOT at GeoWeb and really broadened and deepened my global perspective on a number of issues. I had the opportunity to meet and have fascinating discussions with guys like Tim Case and Carsten Roensdorf, the coordinators of the OGC CityGML effort, and Dr. Thomas Kolbe the father of CityGML himself.
To paraphrase Peter Drucker, That which can be measured can be managed. That which can be managed can be improved. If this is true, then it is critically important that we start doing a better job in managing the performance of our buildings so that we can reduce their collective environmental impact. When you start to look at the statitistics, you may be startled by their implications.
I guess my best sense is that this is still a very young industry. One attendee described the state of the industry as "where aerial photogrametry was in the 1950's". While the technology to collect more and better data in the form of 3D LiDAR point clouds is becoming dramatically better every year, our ability to derive more intelligently modeled information from point clouds is not keeping pace with the technology to collect ever larger and more accurate point clouds.
I believe that one of the most effective investments that we could make today to reduce the risk of attacks on the buildings that make up our critical infrastructure is to map the insides of those buildings and provide those building maps securely to our security forces. Mapping the interiors of our buildings would deliver value in several different ways: