| Great comments and advice. My neighborhood burned in the #GlassFire [0]. While our property was severely damaged, our home survived, due to many of the hardening techniques you mentioned and great work by CalFire. We had evacuated the night before and were staying in a local hotel watching the flames advance on our house via our security cameras. (Redundant net connections and a generator kept everything online). As our deck started to burn I called 911 to report it, figuring nothing would happen. About 20 minutes later a fireman walked into the frame of the camera and 2 minutes later the deck was out and the house was saved. I was cheering like I won the Super Bowl. So I really appreciate all the hardening I did, on-site water and CalFire. When we rebuilt the exterior, I installed a set of sprinklers that ring the house and cover the roof/deck. They are not designed to fight the fire, instead I can activate them before a fire arrives to get things good and wet. This perimeter reduces the available fuels, reduces the heat load on the structure and reduces the risk of ember cast. It was a fun project with an ESP controller to sequence the valves and provide remote control. Over the last few years, the Alert Wildfire Camera system, now over 700 cameras, has been a valuable resource. [1] Early detection of the fire, before it grows to extreme size has made a big difference. In the North Bay of California last year, this early detection and CalFire having nearby Air Attack resources on standby kept many small fires from becoming large ones in this area. Another great resource is the Watch Duty app. [2] This is a non-profit, volunteer, but extremely professional service. They started in Northern California and are rapidly expanding. It is the go-to resource for Wildfire related information in the area. Lastly, if anyone is looking at the X prize for satellite detection, I’d spend some time researching MODIS/VIIRS data products from NASA. [3]. A good starting point in some of the challenges of wildfire detection from space. [0]. Fire tornado outside my window. https://youtu.be/1tZjWqh3-EU [1]. https://www.alertwildfire.org/ [2]. https://www.watchduty.org/ [3]. https://firms.modaps.eosdis.nasa.gov/ |
Fire resistance rating: https://en.wikipedia.org/wiki/Fire-resistance_rating
R-value: https://en.wikipedia.org/wiki/R-value_(insulation)
Here's a prompt to help with selecting sustainable building materials: """Generate a JSON-LD document of data with citations comparing building materials by: R-value, Fire Resistance Rating, typical structural integrity longevity in terms of years, VOCs at year 1 and year 5, and Sustainability factors like watt-hours and carbon and other pollutive outputs to produce, transport, distribute, install, and maintain . Include hempcrete (hemp and lime, which can be made from algae), rammed earth with and without shredded hemp hurds, wood, structural concrete, bamboo, and other emerging sustainable building materials.
Demonstrate loading the JSON data into a Pandas DataFrame and how to sort by multiple columns (with references to the docs for the tools used), and how to load the data into pygwalker."""