Conference Editor

Jianshun Zhang; Edward Bogucz; Cliff Davidson; Elizabeth Krietmeyer

Keywords:

Unmanned Aerial System (UAS); building Inspection; retrofitting, energy audit; thermography

Location

Syracuse, NY

Event Website

http://ibpc2018.org/

Start Date

24-9-2018 3:30 PM

End Date

24-9-2018 5:00 PM

Description

Unmanned Aerial Systems (UAS – a.k.a. drones) have evolved over the past decade as both advanced military technology and off-the-shelf consumer devices. There is a gradual shift towards public use of drones, which presents opportunities for effective remote procedures that can disrupt a variety of design disciplines. In architecture praxis, UAS equipment with remote sensing gear presents an opportunity for analysis and inspection of existing building stocks, where architects, engineers, building energy auditors as well as owners can document building performance, visualize heat transfer using infrared imaging and create digital models using 3D photogrammetry. Comprehensive energy audits are essential to maximize energy savings in buildings realized from the design and implementation of deep retrofits for building envelopes, together with energy system repairs or changes. This paper presents a methodology for employing a UAS platform to conduct rapid building envelope performance diagnostics and perform aerial assessment mapping of building energy. The investigation reviews various literature that addresses this topic, followed by the identification of a standard procedures for operating a UAS for energy audit missions. The presented framework is then tested on a university campus site to showcase: 1) visually identifying areas of thermal anomalies using a UAS equipped with IR cameras; 2) detailed inspection applied to areas of high interest to quantify envelope heat-flow using computer vision techniques. The overall precision and recall rates of 76% and 74% were achieved in the experimental results, respectively. A discussion of the findings suggests refining procedure accuracy, as a step towards automated envelope inspection.

Comments

If you are experiencing accessibility issues with this item, please contact the Accessibility and Inclusion Librarian through lib-accessibility@syr.edu with your name, SU NetID, the SURFACE link, title of record, and author & and reason for request.

DOI

https://doi.org/10.14305/ibpc.2018.gb-1.03

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

COinS
 
Sep 24th, 3:30 PM Sep 24th, 5:00 PM

Campus as a Lab for Computer Vision-based Heat Mapping Drones: A Case Study for Multiple Building Envelope Inspection using Unmanned Aerial Systems (UAS)

Syracuse, NY

Unmanned Aerial Systems (UAS – a.k.a. drones) have evolved over the past decade as both advanced military technology and off-the-shelf consumer devices. There is a gradual shift towards public use of drones, which presents opportunities for effective remote procedures that can disrupt a variety of design disciplines. In architecture praxis, UAS equipment with remote sensing gear presents an opportunity for analysis and inspection of existing building stocks, where architects, engineers, building energy auditors as well as owners can document building performance, visualize heat transfer using infrared imaging and create digital models using 3D photogrammetry. Comprehensive energy audits are essential to maximize energy savings in buildings realized from the design and implementation of deep retrofits for building envelopes, together with energy system repairs or changes. This paper presents a methodology for employing a UAS platform to conduct rapid building envelope performance diagnostics and perform aerial assessment mapping of building energy. The investigation reviews various literature that addresses this topic, followed by the identification of a standard procedures for operating a UAS for energy audit missions. The presented framework is then tested on a university campus site to showcase: 1) visually identifying areas of thermal anomalies using a UAS equipped with IR cameras; 2) detailed inspection applied to areas of high interest to quantify envelope heat-flow using computer vision techniques. The overall precision and recall rates of 76% and 74% were achieved in the experimental results, respectively. A discussion of the findings suggests refining procedure accuracy, as a step towards automated envelope inspection.

https://surface.syr.edu/ibpc/2018/GB1/3

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.