it seems that was this. Now all is working fine !
Glad that it worked! But I am still a bit worried. Gismo components only modify the gdal-data/osmconf.ini file and no other MapWinGIS file. So your MapWinGIS installation files should not be compromised. The fact that you did not get the "COM CLSID" error message when running the "Gismo Gismo" component suggests that MapWinGIS has been properly installed. So I wonder if the cause for the permanent "invalid shapes" warning has again something with the fact that your system is again not allowing the MapWinGIS to properly edit the osmconf.ini. Maybe this problem will appear again, and again, and reinstallation of MapWinGIS every time can be somewhat bothersome.
- About the terrain generation, is it possible to have the texture from google or other provider mapped onto the terrain surface from gismo component ? (Same as using the ladybug terrain generator in fact). I try to used the image extracted by ladybug component and then applied it to the gismo terrain but the texture is rotated by 90°.
The issue with the rotation can be solved by swapping/reversing the U,V directions of the terrain surface. A slightly more important issue is that terrain surface generated with Gismo "Terrain Generator" component might have a bit smaller radius than what the radius_ input required. This stems from the fact that the terrain data first needs to be downloaded in geographic coordinate system, and then projected. Some projecting issues may occur at the very edges of the projected terrain, so I had to slightly cut out the very edges of the terrain which results in the actual terrain diameters being slightly shorted in both directions. This means that if you apply the same satellite image from Ladybug "Terrain Generator" component to Gismo "Terrain Generator" component the results may not be the same.I attached below a python component which tries to solve this issue by extending the edges of Gismo "Terrain Generator" terrain, and then cutting them with the cuboid of the exact dimensions as the radius_ input. Have in mind that this extension of the original terrain at its edges is not a correct representation of the actual terrain in that location. But rather just an extension of the isoparameteric curve of the terrain surface. So basically: some 0 to 10% (0 to 10 percent of the width and length) of the terrain around all four edges is not the actual terrain for that location, but rather just its extension.The python component is located at the very right of the definition attached below.
Also, if you would like to use the satellite images from Ladybug "Terrain Generator" component along with "OSM shapes", sometimes you may find slight differences in position of the shapes. This is due to openstreetmap data not being based on Google Maps (that's what Ladybug "Terrain Generator" component is using), but rather on Bing, MapQuest and a few others.
- About the requiredKeys_ input of OSM shapes, I understand what you mean and your advice, but in most cases I use it, the component was working fine even without input. I think it's better to extract all tags, values and keys of the selected area, instead of searching for specific ones as I try to find all data related to what I want after, isn't it ? To check what keys are present on the area also.
Ineed, you are correct.I though you were trying to only create a terrain, 3d buildings and maybe find some school or similar 3d building, for these two locations. The recommendation I mentioned previously is due to shapefiles having a limit (2044) to how many keys it can contain. This requires further testing of some big cities locations with maybe larger radii, which I haven't performed due to my poor PC configuration. But in theory, I imagine that it may happen that a downloaded .osm file may have more than 2044 keys. In that case shapefile will only record 2044 of them, and disregard the others. That was my point.But again 2044 is a lot of keys, and I haven't been checking much this in practice. For example, when I set the radius_ to 1000 meters, and use your "3 Rue de Bretonvilliers Paris" location I get around 350 something keys, which is way below the 2044.Another reason why one should use the requiredKeys_ input is to make the Gismo OSM components run quicker: for example, the upper mentioned 350 something keys will result in 350 values for each branch of the "OSM shapes" component's "values" output.Which means if you have 10 000 shapes, the "OSM shapes" component will have 10 000 branches with 350 items on each branch (values). This can make all Gismo OSM components very heavy, and significantly elongate the calculation process.With requiredKeys_ input you may end up with only a couple of tens of items per each branch.Sorry for the long reply.…
Added by djordje to Gismo at 8:57am on June 11, 2017
ails.
Some word about the mesh... (see Image_01)
I took a flat 4 points NURBS surface as imput (very easy, it defines the total area of my pavilion) and some points (that defines the contact with the ground).
Then I extracted a grid of points from the NURBS (Surface_Util_Divide surface) and compared 'em with the contol points, in order to associate to each grid's point its own attractor (Vector_Point_Closest Point).
Than I moved the points down. I used the distance from each point to its attractor (inverted) as amplitude for the vector of the movement, in order to say: the nearer you are to the control point, the more intense your movement will be. During this operation I've passed the distances' data list into a graph mapper (Params_Special_Graph Mapper), in order to regulate in a very intuitive and interactive way the shaping of my canopy.
At the end of the process I asked GH for a simple Delaunay mesh (Mesh_Triangulation_Delaunay Mesh). It's a very cool command, I believe!!!
Ok, now some word about the component, it's design and it's repetition/adaptation to the mesh...
(see Image_02)
I took the mesh and extracted components on first and faces's information on second. Then I selected and separated the vertexes (1°, 2°, 3°) of each triangular face into threee well defined list.
Then I re-created the triangles' edges. Please pay attention because it's not the same if you use output information from Delaunay components, because here we need a justapposition of edges where triangles touches each others.
After this work I joined the edges and found their centroid. At the same time I found the mid point of each edge.
Now the component... (see Image_03)
It' a little bit longer to describe: I'll try to be synthetic.
Substantially it is a loft from a curve to a point, repeated three times for each triangle (Surface_Freeform_Extrude Point). The point is an elevation of the centroid of the triangle (you can choose if the exstrusion has a single height or it's related to an attractor. In my case it was fixed). The curve is combination of things. There's an arch, which starts on the edge (there's an offset from the corner) end terminates on the same edge (on the other side, obviously). While it's generation the arch passes through a third point which belong to another segment. This last connects the mid point of the original edge (base triangle) with the centroid. The result is a kind of polyline, with two segments and an arch. If you go back to the image of the component that I posted probably you'll understand what I'm saying better than with the definition.
The posit…
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you working on a PV system which will power a domestic hot water boiler?
To answer your questions:1) Each grasshopper component (ghpython being one of those too) is using grasshopper's data matching algorithm. This algorithm takes care of complex issues which may arise from combining lists with single items, data trees with different number of items per branch and so on.I think there is a way of introducing a call to other processor's threads per each inputted surface, but this will be a very difficult job, as it will require writing a custom data matching algorithm. I do not think I am up to that task.Instead I tried to introduce the multithread only to the final part of the PVsurface component and one of its time consuming parts: calculation of sun angles, solar radiation and ac/dc power output.I attached the test file below, but sadly it didn't go well: the multithreaded version mostly runs at the same time as the regular version.I do not think I am qualified enough to answer why is that so, but I think that it may have something to do with the type of the function that the multithreading is applied to: the code is suppose to run few separate functions a couple of thousand times, and work with a couple of lists. From my experience, the multithreading works the best when a single list or two are supplied to a single function. I may be wrong on this.I am very sorry to say that I can not implement this feature.2) I am not familiar if open source PV modules database has been released.But one can always download the data for specific modules from producers websites. It can then easily be transferred to a .csv file or other text file.Ladybug Photovoltaics are based on NREL's PVWatts model.In comparison with other commercial software applications, PVWatts offers a more generalized system model, with some of the values and characteristics being assumed or embedded.The Fuentes empirical thermal model we are currently using follows the same logic: it generalizes the Module characteristics. The following characteristics are only editable: module efficiency, temperature coefficient and module mount type.It may be possible to replace Fuentes with some other, less generalized 5 parameter thermal model. But as an architect, I would definitively need help on this.
Sorry if my reply did not fulfill your expectations, and thank you for the kind words!…
s levels of detail by subdividing a 6 sided cube mesh and projecting its vertices according to a referenced height map. This is one of the standard conventions for building full sizes planets. At the lowest level (0) the mesh planet is made of 6 pieces(each 32x32 resolution). The next level down (1) is made of 24 pieces... 6 divided by 4 = 24. Level (2) is 96 quads etc etc. The script will generate each quad at its sub-division level and compare edge vertices to neighboring quads. It will then make sure any shared vertices are in fact at the same projected vector. This ensures a planet quad with edge vertices that match.
The problems comes in texturing each quad.
If I build the quad as a nurb surface from points I can place the texture easily because each surface UV maps squarely to my texture map (which is also square).
If I build the quad as a mesh I cannot just apply the square texture to the mesh UVs. This is because when you unwrap the UVs from a mesh they will not unwrap like a nurb surface's UVs. Therefore to get the correct mapping I would have to manipulate each UV back to an evenly aligned array (which is 1024 points in a 32x32 resolution UV). Maya and blender have 'relax uv' and 'align UV' functions but they don't do the trick and manual corrections are out of the question. So why not skip the mesh method and use the nurb method?
I did this and there is a trade off. The nurb will accept the material texture I want with no other work on my end but when I export the object as an .obj rhino creates its own mesh to describe the nurb(with various unsatisfactory setting options). This works great up to a point because at some level the interpreted mesh will have vertices that do no match at the edges, ie .. creating visible seams in the mesh. The picture below is the nearly seamless planet at LOD(1) made of 24 quads, each with 32x32 vertice resolution and a 512x512 jpg texture running in Unity3d 5. It works but at close level there are seams. This will be resolved simply by having the next LOD(x) instantiate before getting close enough to see the seam but at core nerd level I want the seamless mesh.
So, I can make the seamless mesh but I can not realistically texture map it. I can also make the nurb surface from points and texture it at the expense of the edge vertices matching. I am at the split in the road but I want to have my cake and eat it too. Thoughts, comments, trolls...?
Thanks for reading =)
Footnote: For you pros I am not using seamless noise across the map I am using grasshopper to sew up my otherwise non perfect edges.
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size component supported only ground PV panels and angled roof PV panels.
Download the newest PV SWH system size component from here (Click on "View Raw" to download it. Then move the downloaded .ghuser file to File->Special Folders->User Objects Folder, an confirm to overwrite it with previously located one).
Just a few opinions on the project you are currently working on:This kind of fixed, non-transparent (overhang) PV panels attached to a building facade are vert convenient for locations with higher latitudes.The reason for this is because they (fixed overhang PV panels) are dimensioned according to the sun position at summer solstice. Elevation angles on summer solstice at higher latitude locations are lower, than those of lower latitude locations.Due to Incheon's low latitude (37), you will get rather short length of the PV panels* : less than 10 centimeters (0.097 meters in the attached .gh file below). As you have mentioned, Galapagos needs to be used too.I will just mention some of the good and bad ways in which the upper issue could be somewhat avoided:1) Increasing the vertical distance between PV panels (PV panels appear above every second window).2) Increase the tilt angle. This will increase the length of PV panels also, but will decrease the final annual AC energy output.An example of this solution has been applied at FKI building in Seoul (latitude: 37N):I already did some tests (with tilt angles: 40, 45, 55) and this does not seem like a good solution, though.3) Shrinking the "sun window" by using the minimalSpacingPeriod_ input. In Photovoltaics, a planner is suppose to make the 9h to 15h part of the sun window free of any obstructions. If you try to decrease the "sun window" to 10 to 14h, the length of your PV panels will increase. You can try to experiment a little bit with this (set your minimalSpacingPeriod_ to 21th of June 10 to 14hours). In general, shrinking the sun window on summer solstice is not a good principle during planning.4) Using tracking PV panels, not fixed ones. But Ladybug Photovoltaics components do not support this kind of PV systems. They only support fixed ones.I would personally go with the first option. You can also experiment with the second and third one.Comment back if you have any other questions.-----------------------* By "length of the PV panels" I mean the: tiltedArrayHeight_ input of the PV SWH system size component.…
ort and export from the images below and also from the HELP file of DB in attachments (Page 71: Importing Geometric Data; Page 78-80: Import 3 - D CAD Data). In their HELP file, they mention about "import geometric data".
However, regarding the input of schedules, loads, constructions and etc., DB normally uses "Component " and "Template" (Page 29: Templates And Components; Page 591: Templates; Page 533: Components). "Templates" are databases of typical generic data, including Activity templates, Construction templates, Glazing templates, Facade templates, HVAC templates, Location Templates, and etc. "Component " are databases of individual data items (e.g. a construction type, material, window pane).
Both "Component " and "Template" are allowed to be imported and exported by using "Import / Export library data" command (.ddf format - DB Database File; Page 734: Import Components/Templates, Export Components/Templates). DB also allows us to build up our own libraries of templates and components (Page 731: Library Management; Page 733: Template Library Management).
In order to import both geometric information and other information related to schedules, loads, constructions and etc. from GH to BD, we supposed the following two ways:
1. GH(HB+GB) --> gbXML (both geometric and "Component " and "Template" information) --> DB
This is the way we most prefer. We did see information related to schedules, loads, constructions encoded in the gbXML file generated by GB, but still do not know the reason why DB did not take this information (I also mentioned this in Q6 within the gh file). We assume this might because the gbXML file we create encodes the schedules based on a different template / schema than the one DB expects. We also post this question to the DB forum for help.
(http://www.designbuilder.co.uk/component/option,com_forum/Itemid,25/page,viewtopic/p,13755/#13755)
2. GH(HB+GB) --> gbXML (geometric information only) + .ddf ("Component " and "Template" information only) --> DB
If the first way doesn't work and DB only takes geometric information from the gbXML, then we might think of the other way - generating the .ddf files from GH(HB+GB) to pass the schedule, load and construction information to DB.
I was wondering if it is feasible for HB and GB to have this function? And what is your suggestion to achieve this?
In addition, we notice that DB can export XML files (not gbXML), so we are trying to figure out if DB also accepts / reads the XML file. If so, we might be able to convert the gbXML (with both geometric and schedule information) to XML. What do you think about that?
Thank you again for all your help!
Best,
Ding
DB import
DB export
Template libraries
Component libraries
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