ree..
First-End List Component cannot manage branches inside every dimensions..
"Smart T8" Component is developed for managing the multi dimensional data tree with first-end algorithm.
It works with path index location..
"-1" or negative numbers mean the location of item..
"0" means the location of the last path index..
positive numbers mean the location from the back..
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Now look at this example.. a simple 3-dimensional boxes..
In the data tree.. of {0;0;i;j} (k)
"k" is the item index.. Y direction..
"j" is the last path.. X direction..
and "i" is the level.. Z direction..
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When index < 0 (i.e. "-1" or negative)
"Smart T8" performs like the First-End Item Component..
It selects first items in each list and puts them out to "F"..
and in this example.. they are boxes with same Y coordinate(=0)..
In the below image..
F(Red) M(Transparent Green) E(Blue) are classified by Y coordinates..
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When index = 0
"Smart T8" focuses on the last path index..
It selects first list of every {0; 0; i; *} set of lists.. (i.e. every levels)
In this example.. they are boxes with same X coordinate(=0)..
because the last path means X grid..
In the below image..
F(Red) M(Transparent Green) E(Blue) are classified by X coordinates..
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When index = 1
"Smart T8" focuses on the third path index.. (i.e. 1 step from the back)
It selects first list of every {0; 0; *; j} set of lists..
Actually in this case.. they are first levels of every YZ planes..
In this example.. they are boxes with same Z coordinate(=0)..
because "Smart T8" manages levels now (index=1)..
In the below image..
F(Red) M(Transparent Green) E(Blue) are classified by levels..
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When index > 1.. (if it is meaningless index or out of range..)
It performs First-End List Component..
It selects only the first and end list of all lists..
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The "Smart T8" component works with 3 or more dimensional data tree well..
Please control the focusing index and enjoy it.. :)
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a problem with SSL. Any Ideas? I am using the following code:
import json,httplib connection = httplib.HTTPSConnection('api.parse.com', 443) connection.connect() connection.request('GET', '/1/classes/MY-CLASS', '', { "X-Parse-Application-Id": "MY-APP-ID", "X-Parse-REST-API-Key": "MY-REST-API-KEY" }) result = json.loads(connection.getresponse().read()) print result
I Get the Following Messages:
Runtime error (IOException): Authentication failed because the remote party has closed the transport stream. Traceback: line 280, in do_handshake, "C:\Program Files\Rhinoceros 5.0 (64-bit)\Plug-ins\IronPython\Lib\ssl.py" line 120, in __init__, "C:\Program Files\Rhinoceros 5.0 (64-bit)\Plug-ins\IronPython\Lib\ssl.py" line 336, in wrap_socket, "C:\Program Files\Rhinoceros 5.0 (64-bit)\Plug-ins\IronPython\Lib\ssl.py" line 1156, in connect, "C:\Program Files\Rhinoceros 5.0 (64-bit)\Plug-ins\IronPython\Lib\httplib.py" line 3, in script Any help would be greatly appreciated! Thanks in advance! -Zach…
option, after downloading check if .ghuser files are blocked (right click -> "Properties" and select "Unblock"). Then paste them in File->Special Folders->User Object Folder. You can download the example files from here. They act in similar way, Ladybug Photovoltaics components do: we pick a surface, and get an answer to a question: "How much thermal energy, for a certain number of persons can my roof, building facade... generate if I would populate them with Solar Water Heating collectors"? This information can then be used to cover domestic hot water, space heating or space cooling loads:
Components enable setting specific details of the system, or using simplified ones. They cover analysis of domestic hot water load, final performance of the SWH system, its embodied energy, energy value, consumption, emissions... And finding optimal system and storage size. By Dr. Chengchu Yan and Djordje Spasic, with invaluable support of Dr. Willian Beckman, Dr. Jason M. Keith, Jeff Maguire, Nicolas DiOrio, Niraj Palsule, Sargon George Ishaya and Craig Christensen. Hope you will enjoy using the components! References: 1) Calculation of delivered energy: Solar Engineering of Thermal Processes, John Wiley and Sons, J. Duffie, W. Beckman, 4th ed., 2013. Technical Manual for the SAM Solar Water Heating Model, NREL, N. DiOrio, C. Christensen, J. Burch, A. Dobos, 2014. A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis, Renewable Energy journal, Yan, Wang, Ma, Shi, Vol 74, Feb 2015
2) Domestic hot water load: Modeling patterns of hot water use in households, Ernest Orlando Lawrence Berkeley National Laboratory; Lutz, Liu, McMahon, Dunham, Shown, McGrue; Nov 1996. ASHRAE 2003 Applications Handbook (SI), Chapter 49, Service water heating
3) Mains water temperature Residential alternative calculation method reference manual, California energy commission, June 2013. Development of an Energy Savings Benchmark for All Residential End-Uses, NREL, August 2004. Solar water heating project analysis chapter, Minister of Natural Resources Canada, 2004.
4) Pipe diameters and pump power: Planning & Installing Solar Thermal Systems, Earthscan, 2nd edition
5) Sun postion and POA irradiance, the same as for Ladybug Photovoltaics (Michalsky (1988), diffuse irradiance by Perez (1990), ground reflected irradiance by Liu, Jordan (1963))
6) Optimal system and storage tank size: A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis, Renewable Energy journal, Yan, Wang, Ma, Shi, Vol 74, Feb 2015.…
doing this with the current tools or a bit of scripting since the Flickr API allows you to make requests in a REST format, but utilizing the Flickr.net API library makes it much simpler.
First and foremost, you need a Flickr API key...do you have one of those?
A great way to get to know the Flickr API is with the API Explorer. Here is a link to the page for the flickr.photos.search method explorer: http://www.flickr.com/services/api/explore/flickr.photos.search
The cool thing about this page is that it generates the REST Http call towards the bottom. So, here is what I did:
1. Grab the coordinates of the bounding box per Flickr API request:
bbox (Optional)
A comma-delimited list of 4 values defining the Bounding Box of the area that will be searched. The 4 values represent the bottom-left corner of the box and the top-right corner, minimum_longitude, minimum_latitude, maximum_longitude, maximum_latitude. Longitude has a range of -180 to 180 , latitude of -90 to 90. Defaults to -180, -90, 180, 90 if not specified. Unlike standard photo queries, geo (or bounding box) queries will only return 250 results per page. Geo queries require some sort of limiting agent in order to prevent the database from crying. This is basically like the check against "parameterless searches" for queries without a geo component. A tag, for instance, is considered a limiting agent as are user defined min_date_taken and min_date_upload parameters — If no limiting factor is passed we return only photos added in the last 12 hours (though we may extend the limit in the future).
So, I went to Google Earth, picked a city (London, UK) and dropped two pins:
This gave me two locations, which I can put into the Explorer Page next to the bbox option. Here is what I put for these two points: -0.155941,51.496768,-0.116783,51.511431
2. Check has_geo
3. In extras, type in geo
4. Make the call!
You will see a list of responses in an XML format, these responses will be from the first page. Geolocated photos are limited to 250 / page, so you will have to grab them page by page.
If you want to add more options (minimum upload date, maximum upload date, etc) you can do this as well)
The best is at the bottom, you get the full http call for this: http://api.flickr.com/services/rest/?method=flickr.photos.search&api_key=ffd44f601393a46e86aa3a5f8a013360&bbox=-0.155941%2C51.496768%2C-0.116783%2C51.511431&has_geo=&extras=geo&format=rest&api_sig=b42330e5d1523bd5fe60c2ad43acde99
Notice this call has some other api key, you should eventually replace this with your own.
You could copy and paste this into a browser and you will get the results with the latitude and longitude:
So this is really what you need to know to do this through GH. Since gHowl has an XML parser component that can access files on the web, you should be able to use the same http call into this component.
Eventually, we get a response, and we need to grab the lat and lon data. With gHowl we can map these to xyz coordinates, and generate the heatmap...this is just a linear mapping:
Attached are both the Rhino file and the Grasshopper file, as well as the image underlay.
I am working on a series of components that makes this more straightforward, but for now, this should get you started.
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peuvent se diviser une surface avec ne importe quel motif imaginable. 3. Ici, je fournir un moyen de le faire via Lunchbox ... cela fonctionne mais il est fixe et donc nous avons besoin de jouer avec des arbres de données afin de créer le motif approprié par cas. 4. L'autre composante est un joint C # qui fait beaucoup de choses autres que de diviser ne importe quelle collection de points avec de nombreux modèles (voir le modèle ANDRE que je ai fait pour vous). 5. Vous devez décomposer une polysurface en morceaux afin de travailler sur les subdivisions. 6. Je donne une autre définition ainsi que pourrait agir comme un tutoriel sur la façon de traiter des ensembles de points via des composants de GH standards et des méthodes classiques.
Avertissez si tous ceux-ci apparaissent floue pour vous: Si oui, je pourrais écrire une définition utilisant des composants de GH classiques - mais vous perdrez les variations de motifs de division.
mieux, Peter
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and export the geometry out to VVVV to render it LIVE! RawRRRR. In this case, a digital audio workstation Ableton Live, a leading industrial standard in contemporary music production.
the good news is that VVVV and ableton live lite is both free.
https://www.ableton.com/en/products/live-lite/
i am not trying to use ipad as a controller for grasshoppper. I wanted to work with a timeline (similar to MAYA or Ableton or any other DAW(digital audio workstation)) inside grasshopper in an intuitive way. Currently there is no way of SEQUENCING your definition the way you want to see that i know of.
no more combersome export import workflows... i dont need hyperrealistic renderings most of the time. so much time invested in googling the right way to import, export ... mesh settings...this workflow works for some, for some not ...that workflow works if ... and still you cannot render it live nor change sequence of instruction WHILE THE VIDEO is played. and I think no one wants to present rhinoceros viewport. BUT vvvv veiwport is different. it is used for VJing and many custom audio visual installation for events, done professionally. you can see an example of how sound and visuals come together from this post, using only VVVV and ableton. http://vvvv.org/documentation/meso-amstel-pulse
I propose a NEW method. make a definition, wire it to ableton, draw in some midi notes, and see it thru VVVV LIVE while you sequence the animation the WAY YOU WANT TO BE SEEN DURING YOUR PRESENTATION FROM THE BEGINNING, make a whole set of sequences in ableton, go back change some notes in ableton and the whole sequence will change RIGHT INFRONT of you. yes, you can just add some sound anywhere in the process. or take the sound waves (sqaure, saw, whateve) or take the audio and influence geometric parameters using custom patches via vvvv. I cannot even begin to tell you how sophisticated digital audio sound design technology got last ten year.. this is just one example which isn't even that advanced in todays standard in sound design ( and the famous producers would say its not about the tools at all.) http://www.youtube.com/watch?v=Iwz32bEgV8o
I just want to point out that grasshopper shares the same interface with VVVV (1998) and maxforlive, a plug in inside ableton. audio mulch is yet another one that shares this interface of plugging components to each other and allows users to create their own sound instruments. vvvv is built based on vb, i believe.
so current wish list is ...
1) grasshopper recieves a sequence of commands from ableton DONE
thanks to sebastian's OSCglue vvvv patch and this one http://vvvv.org/contribution/vvvv-and-grasshopper-demo-with-ghowl-udp
after this is done, its a matter of trimming and splitting the incoming string.
2) translate numeric oscillation from ableton to change GH values
video below shows what the controll interface of both values (numbers) and the midi notes look like.
https://vimeo.com/19743303
3) midi note in = toggle GH component (this one could be tricky)
for this... i am thinking it would be great if ...it is possible to make "midi learn" function in grasshopper where one can DROP IN A COMPONENT LIKE GALAPAGOS OR TIMER and assign the component to a signal in, in this case a midi note. there are total 128 midi notes (http://www.midimountain.com/midi/midi_note_numbers.html) and this is only for one channel. there are infinite channels in ableton. I usually use 16.
I have already figured out a way to send string into grasshopper from ableton live. but problem is, how for grasshopper to listen, not just take it in, and interpret midi and cc value changes ( usually runs from 0 to 128) and perform certain actions.
Basically what I am trying to achieve is this : some time passes then a parameter is set to change from value 0 to 50, for example. then some time passes again, then another parameter becomes "previewed", then baked. I have seen some examples of hoopsnake but I couldn't tell that you can really control the values in a clear x and y graph where x is time and y is the value. but this woud be considered a basic feature of modulation and automation in music production. NVM, its been DONE by Mr Heumann. https://vimeo.com/39730831
4) send points, lines, surfaces and meshes back out to VVVV
5) render it using VVVV and play with enormous collection of components in VVVV..its been around since 1998 for the sake of awesomeness.
this kind of a digital operation-hardware connection is usually whats done in digital music production solutions. I did look into midi controller - grasshopper work, and I know its been done, but that has obvious limitations of not being precise. and it only takes 0 o 128. I am thinking that midi can be useful for this because then I can program very precise and complex sequence with ease from music production software like ableton live.
This is an ongoing design research for a performative exhibition due in Bochum, Germany, this January. I will post definition if I get somewhere. A good place to start for me is the nesting sliders by Monique . http://www.grasshopper3d.com/forum/topics/nesting-sliders
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n be obtained for curved NURBS surfaces as well as unconventional window configurations".
And I also noticed the following information form the optional input in the runEnergySimulation component.
"meshSettings_: Optional mesh settings for your geometry from any one of the native Grasshopper mesh setting components. These will be used to change the meshing of curved surfaces before they are run through EnergyPlus (note that meshing of curved surfaces is done since Energyplus is not able to calculate heat flow through non-planar surfaces). Default Grasshopper meshing is used if nothing is input here but you may want to decrease your calculation time by changing it to Coarse or increase your curvature definition (and calculation time) by making it finer".
1) My case is an one-story, rectangular-plan large hall (40m*70m*25m) with a curved roof. The roof surface is a part of a standard sphere and the walls and floor are all planar (the each wall has one curved edge as showed in the image).
For testing, I threw the original curved roof surface into daylight and energy simulations without making customized meshings, because I assumed that it might be automatically converted to meshs by Honeybee - Am I right? As showed in the image, how can I reduce the number of meshs in a proper way? Must two connected surfaces (i.e. wall and roof) be STRICTLY/SEAMLESSLY connected or not (considering different divisions of meshs in the respective surface)? - Is a connection tolerance allowed?
2) But, when I run the annual daylight simulation for this case, it gave me a lot of warnings "oconv: warning - zero area for polygon".- is that normal? and how to avoid this? Does the daylight simulation allow "curved NURBS surfaces"?
3) Moreover, when I run an energy simulation for this case, it costed extremely long time. It was just so long that I did not even have results out of one simulation. - I guessed it might be the problem caused by the curved roof surface (or automatic meshing?), but I don't have experience of converting a curved NURBS/spheral surface into correct meshs that can be recognized by Honeybee simulations (Daylight and Energy) in a proper way.
4) The large window on the wall was generated by the "_glzRatio". But the automatically generated wall meshs around this window are just too "fine", which might largely increase simulation time. Is there a proper way to get rid of it? (Considering that the size, shape and position of the window will have large influence on the daylight distribution in the building, it is worthy to keep the size, shape and position of the window as it should be in reality).
In sum, considering all above, could your please provide me some suggestions/tutorials/links that might be helpful for dealing with "curved NURBS surfaces" in Honeybee simulations.
Thank you all in advance!
Best,
Ding
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ing the maps to the broader community.
At the moment, there are just a few known issues left that I have to fix for complex geometric cases but they should run smoothly for most energy models that you generate with Honeybee. Within the next month, I will be clearing up these last issues and, by the end of the month, there will be an updated youtube tutorial playlist on the comfort tools and how to use them.
In the meantime, there's an updated example file (http://hydrashare.github.io/hydra/viewer?owner=chriswmackey&fork=hydra_2&id=Indoor_Microclimate_Map) and I wanted to get you all excited with some images and animations coming out of the design part of my thesis. I also wanted to post some documentation of all of the previous research that has made these climate maps possible and give out some much deserved thanks. To begin, this image gives you a sense of how the thermal maps are made by integrating several streams of data for EnergyPlus:
(https://drive.google.com/file/d/0Bz2PwDvkjovJaTMtWDRHMExvLUk/view?usp=sharing)
To get you excited, this youtube playlist has a whole bunch of time-lapse thermal animations that a lot of you should enjoy:
https://www.youtube.com/playlist?list=PLruLh1AdY-Sj3ehUTSfKa1IHPSiuJU52A
To give a brief summary of what you are looking at in the playlist, there are two proposed designs for completely passive co-habitation spaces in New York and Los Angeles.
These diagrams explain the Los Angeles design:
(https://drive.google.com/file/d/0Bz2PwDvkjovJM0JkM0tLZ1kxUmc/view?usp=sharing)
And this video gives you and idea of how it thermally performs:
These diagrams explain the New York design:
(https://drive.google.com/file/d/0Bz2PwDvkjovJS1BZVVZiTWF4MXM/view?usp=sharing)
And this video shows you the thermal performance:
Now to credit all of the awesome people that have made the creation of these thermal maps possible:
1) As any HB user knows, the open source engines and libraries under the hood of HB are EnergyPlus and OpenStudio and the incredible thermal richness of these maps would not have been possible without these DoE teams creating such a robust modeler so a big credit is definitely due to them.
2) Many of the initial ideas for these thermal maps come from an MIT Masters thesis that was completed a few years ago by Amanda Webb called "cMap". Even though these cMaps were only taking into account surface temperature from E+, it was the viewing of her radiant temperature maps that initially touched-off the series of events that led to my thesis so a great credit is due to her. You can find her thesis here (http://dspace.mit.edu/handle/1721.1/72870).
3) Since the thesis of A. Webb, there were two key developments that made the high resolution of the current maps believable as a good approximation of the actual thermal environment of a building. The first is a PhD thesis by Alejandra Menchaca (also conducted here at MIT) that developed a computationally fast way of estimating sub-zone air temperature stratification. The method, which works simply by weighing the heat gain in a room against the incoming airflow was validated by many CFD simulations over the course of Alejandra's thesis. You can find here final thesis document here (http://dspace.mit.edu/handle/1721.1/74907).
4) The other main development since the A. Webb thesis that made the radiant map much more accurate is a fast means of estimating the radiant temperature increase felt by an occupant sitting in the sun. This method was developed by some awesome scientists at the UC Berkeley Center for the Built Environment (CBE) Including Tyler Hoyt, who has been particularly helpful to me by supporting the CBE's Github page. The original paper on this fast means of estimating the solar temperature delta can be found here (http://escholarship.org/uc/item/89m1h2dg) although they should have an official publication in a journal soon.
5) The ASHRAE comfort models under the hood of LB+HB all are derived from the javascript of the CBE comfort tool (http://smap.cbe.berkeley.edu/comforttool). A huge chunk of credit definitely goes to this group and I encourage any other researchers who are getting deep into comfort to check the code resources on their github page (https://github.com/CenterForTheBuiltEnvironment/comfort_tool).
6) And, last but not least, a huge share of credit is due to Mostapha and all members of the LB+HB community. It is because of resources and help that Mostapha initially gave me that I learned how to code in the first place and the knowledge of a community that would use the things that I developed was, by fa,r the biggest motivation throughout this thesis and all of my LB efforts.
Thank you all and stay awesome,
-Chris…
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