本文介绍了是否可以在 Forge 中获取 nwd 模型的已保存视图的名称?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我知道可以从 Navisworks 模型中保存的视图中获取相机，但如果能获取名称也很好.将 nwd 文件上传到 BIM 360 Document Management 项目时，会显示这些保存的视图.是否也可以使用 Frog 查看器执行此操作?或者这只是文档管理器功能?问候弗罗德
解决方案
Navisworks 文件中保存的视图可通过
{"guid": "dc74c06c-0818-46c3-b9cd-6f9666468d12",类型":视图"，"角色": "3d","name": "默认","状态": "成功",相机": [-37.01164245605469，-573.8855590820312，10.432775497436523，-37.01164245605469，-101.42298889160156，10.432775497436523，0,-2.220446049250313e-16，1、1、0.785398006439209，1、0],useAsDefault":真，"hasThumbnail": "true",孩子们": [{"guid": "59d18972-95cb-4845-a116-55a92e3c7ac3","类型": "资源",瓮": 瓮:adsk.viewing:fs.file:dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bGt3ZWo3eHBiZ3A2M3g0aGwzMzV5Nm0yNm9ha2dnb2YyMDE3MDUyOHQwMjQ3MzIzODZ6L3JhY19iYXNpY19zYW1wbGVfcHJvamVjdC5ud2M/输出/0/0_100.png"，角色":缩略图"，"mime": "图像/png",解析度": [100,100]},{"guid": "14607723-303c-476a-ac39-8f66cac8f4bf","类型": "资源",瓮": 瓮:adsk.viewing:fs.file:dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bGt3ZWo3eHBiZ3A2M3g0aGwzMzV5Nm0yNm9ha2dnb2YyMDE3MDUyOHQwMjQ3MzIzODZ6L3JhY19iYXNpY19zYW1wbGVfcHJvamVjdC5ud2M/输出/0/0_200.png"，角色":缩略图"，"mime": "图像/png",解析度": [200,200]},{"guid": "d7fd06cb-4ef5-48df-9e27-297343bf107a","类型": "资源",瓮": 瓮:adsk.viewing:fs.file:dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bGt3ZWo3eHBiZ3A2M3g0aGwzMzV5Nm0yNm9ha2dnb2YyMDE3MDUyOHQwMjQ3MzIzODZ6L3JhY19iYXNpY19zYW1wbGVfcHJvamVjdC5ud2M/输出/0/0_400.png"，角色":缩略图"，"mime": "图像/png",解析度": [400,400]}]},{"guid": "cccca659-8638-4e8d-9554-223f7cc4a23b",类型":文件夹"，"name": "3D 视图",角色":可见"，"hasThumbnail": "假","状态": "成功","progress": "0% 完成",孩子们": [{"guid": "3dc842c3-acf9-4921-8d54-ffebf86500d1",类型":视图"，"角色": "3d","name": "厨房",相机": [-71.70982360839844，-77.9845199584961，4.921259880065918，10.964564323425293，-15.158869743347168，4.921259880065918，4.996003610813204e-16，-4.440892098500626e-16,1、1、0.9272952079772949，1、0],状态":成功"},{"guid": "716c2341-af18-4866-9fb7-57a27ff811d3",类型":视图"，"角色": "3d","name": "从院子里",相机": [-98.73897552490234，-169.06787109375，0,-42.515201568603516，-44.77614212036133，-1.609189127435573e-14，0,1.1102230246251565e-16，1、1、0.9272952079772949，1、0],状态":成功"},{"guid": "1466f07a-5536-4acd-bb51-ee228fb6a41e",类型":视图"，"角色": "3d","name": "客厅",相机": [-31.575815200805664，-51.19736862182617，0.9842519760131836，38.432044982910156,-143.84164428710938，0.9842519760131836，-5.0237591864288333e-14，-3.735900477863652e-14，1、1、0.9272952079772949，1、0],状态":成功"},{"guid": "68ffe8dc-9a9c-45a5-aaf5-29221dd38771",类型":视图"，"角色": "3d","name": "方法",相机": [-41.0597038269043，38.65303039550781，32.80839920043945，-49.91415786743164，-107.17664337158203，9.272088050842285，-0.009639321826398373，-0.15875616669654846，0.9872707724571228，1、0.9272952079772949，1、0],状态":成功"},{"guid": "4c8b4f68-7010-47eb-a3e3-3aa699e82674",类型":视图"，"角色": "3d","name": "截面透视",相机": [8.170970916748047，29.014333724975586,5.741469860076904，-82.0259780883789，-107.69042205810547，5.741469860076904，7.771561172376096e-16，2.914335439641036e-16，1、1、0.9272952079772949，1、0],状态":成功"},{"guid": "33f941f3-81d1-41c5-82e5-346731d79f34",类型":视图"，"角色": "3d","name": "太阳能分析",相机": [62.19073486328125，-142.4400634765625，161.65139770507812，-32.913902282714844，-97.60645294189453，8.838506698608398，-0.7451809644699097，0.3512883186340332，0.5668349266052246，1、45,273.4084777832031，1],状态":成功"},{"guid": "41b33c50-bcdf-4f57-8101-5f8af6ece8eb",类型":视图"，"角色": "3d","name": "{3D}",相机": [-104.73332977294922，-202.08343505859375，67.68977355957031，-103.85852813720703，-103.78852081298828，5.5336480140686035，0.004756217356771231，0.5344184637069702，0.8452067375183105，1、45,424.3688049316406，1],状态":成功"}]}现在我们使用 Kitchen 视图来说明工作流程:
{"guid": "3dc842c3-acf9-4921-8d54-ffebf86500d1",类型":视图"，"角色": "3d","name": "厨房",相机": [-71.70982360839844，-77.9845199584961，4.921259880065918，10.964564323425293，-15.158869743347168，4.921259880065918，4.996003610813204e-16，-4.440892098500626e-16,1、1、0.9272952079772949，1、0],状态":成功"}首先，让我们将其从原始模型空间转换为查看器:
const nwVP = JSON.parse(//上面的 JSON );const 相机 = nwVP.camera;const nwVPName = nwVP.name;constplacementWithOffset = viewer.model.getData().placementWithOffset;const pos = new THREE.Vector3(camera[0],camera[1],camera[2]);const target = new THREE.Vector3(camera[3],camera[4],camera[5]);const up = new THREE.Vector3(camera[6],camera[7],camera[8]);const 方面 = 相机 [9];const fov = 相机 [10]/Math.PI * 180;const orthoScale = 相机 [11];const isPerspective = !camera[12];const offsetPos = pos.applyMatrix4(placementWithOffset);const offsetTarget = target.applyMatrix4(placementWithOffset);const nwSavedViewpoints = [];nwSavedViewpoints.push({方面:方面，isPerspective: isPerspective,fov: fov,位置:offsetPos，目标:偏移目标，上:上，orthoScale:orthoScale，名称:nwVPName});之后，通过
切换视点viewer.impl.setViewFromCamera( nwSavedViewpoints[0]);最后，您可能知道上述转换后的相机定义将具有与 viewer.model.getData().cameras[1]
希望能帮到你！
干杯，
切片映射的更新
如果您保存的视点包含截面，则响应 GET:urn/manifest 会是这样的:
{"guid": "54794b24-d9ef-4a1a-b5aa-8bbf35de2c55",类型":视图"，"角色": "3d","name": "部分测试",相机": [-264.2721252441406，-79.92520141601562，148.0021209716797，-42.678688049316406，-73.8739013671875，0.7752543091773987，0.5530436635017395，0.01510258112102747，0.8330153822898865，1.4948216676712036，0.785398006439209，1、0],剖面":[-0.803684066258349，-0.5950562340169588，0,-92.04215879314862],状态":成功"}sectionPlane 属性是我们想要的目标.所以，转换是
const forge_model_offset = viewer.model.getData().globalOffset;//假设 Navisworks 剪切平面的参数可用//我从 GET:urn/manifest 的响应中复制const navis_clip_plane = { x: -0.803684066258349, y: -0.5950562340169588, z: 0,d:-92.04215879314862 };//在Forge Viewer中计算精确距离const dis_in_forge =( forge_model_offset.x * navis_clip_plane.x +forge_model_offset.y * navis_clip_plane.y +forge_model_offset.z * navis_clip_plane.z) + navis_clip_plane.d;const 剖切面 = [新三.Vector4(navis_clip_plane.x，navis_clip_plane.y，navis_clip_plane.z，dis_in_forge)];//将平面应用于切片viewer.setCutPlanes(cutplanes)I'm aware that it's possible to get the cameras from saved views in the Navisworks models, but it would be great to get the names as well. When uploading a nwd file to a BIM 360 Document Management project these saved views are shown. Is it possible to do this with the Froge viewer as well? Or is this a Document Manager feaure only?Regards Frode
解决方案
The saved views in Navisworks files are fetchable with viewpoint names inside the response of the GET:urn/manifest. Here is an example from the Revit house sample model, rac_basic_sample_project.rvt exported as rac_basic_sample_project.nwc, see the folder type folder JSON object:
{
"guid": "dc74c06c-0818-46c3-b9cd-6f9666468d12",
"type": "view",
"role": "3d",
"name": "Default",
"status": "success",
"camera": [
-37.01164245605469,
-573.8855590820312,
10.432775497436523,
-37.01164245605469,
-101.42298889160156,
10.432775497436523,
0,
-2.220446049250313e-16,
1,
1,
0.785398006439209,
1,
0
],
"useAsDefault": true,
"hasThumbnail": "true",
"children": [
{
"guid": "59d18972-95cb-4845-a116-55a92e3c7ac3",
"type": "resource",
"urn": "urn:adsk.viewing:fs.file:dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bGt3ZWo3eHBiZ3A2M3g0aGwzMzV5Nm0yNm9ha2dnb2YyMDE3MDUyOHQwMjQ3MzIzODZ6L3JhY19iYXNpY19zYW1wbGVfcHJvamVjdC5ud2M/output/0/0_100.png",
"role": "thumbnail",
"mime": "image/png",
"resolution": [
100,
100
]
},
{
"guid": "14607723-303c-476a-ac39-8f66cac8f4bf",
"type": "resource",
"urn": "urn:adsk.viewing:fs.file:dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bGt3ZWo3eHBiZ3A2M3g0aGwzMzV5Nm0yNm9ha2dnb2YyMDE3MDUyOHQwMjQ3MzIzODZ6L3JhY19iYXNpY19zYW1wbGVfcHJvamVjdC5ud2M/output/0/0_200.png",
"role": "thumbnail",
"mime": "image/png",
"resolution": [
200,
200
]
},
{
"guid": "d7fd06cb-4ef5-48df-9e27-297343bf107a",
"type": "resource",
"urn": "urn:adsk.viewing:fs.file:dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6bGt3ZWo3eHBiZ3A2M3g0aGwzMzV5Nm0yNm9ha2dnb2YyMDE3MDUyOHQwMjQ3MzIzODZ6L3JhY19iYXNpY19zYW1wbGVfcHJvamVjdC5ud2M/output/0/0_400.png",
"role": "thumbnail",
"mime": "image/png",
"resolution": [
400,
400
]
}
]
},
{
"guid": "cccca659-8638-4e8d-9554-223f7cc4a23b",
"type": "folder",
"name": "3D View",
"role": "viewable",
"hasThumbnail": "false",
"status": "success",
"progress": "0% complete",
"children": [
{
"guid": "3dc842c3-acf9-4921-8d54-ffebf86500d1",
"type": "view",
"role": "3d",
"name": "Kitchen",
"camera": [
-71.70982360839844,
-77.9845199584961,
4.921259880065918,
10.964564323425293,
-15.158869743347168,
4.921259880065918,
4.996003610813204e-16,
-4.440892098500626e-16,
1,
1,
0.9272952079772949,
1,
0
],
"status": "success"
},
{
"guid": "716c2341-af18-4866-9fb7-57a27ff811d3",
"type": "view",
"role": "3d",
"name": "From Yard",
"camera": [
-98.73897552490234,
-169.06787109375,
0,
-42.515201568603516,
-44.77614212036133,
-1.609189127435573e-14,
0,
1.1102230246251565e-16,
1,
1,
0.9272952079772949,
1,
0
],
"status": "success"
},
{
"guid": "1466f07a-5536-4acd-bb51-ee228fb6a41e",
"type": "view",
"role": "3d",
"name": "Living Room",
"camera": [
-31.575815200805664,
-51.19736862182617,
0.9842519760131836,
38.432044982910156,
-143.84164428710938,
0.9842519760131836,
-5.0237591864288333e-14,
-3.735900477863652e-14,
1,
1,
0.9272952079772949,
1,
0
],
"status": "success"
},
{
"guid": "68ffe8dc-9a9c-45a5-aaf5-29221dd38771",
"type": "view",
"role": "3d",
"name": "Approach",
"camera": [
-41.0597038269043,
38.65303039550781,
32.80839920043945,
-49.91415786743164,
-107.17664337158203,
9.272088050842285,
-0.009639321826398373,
-0.15875616669654846,
0.9872707724571228,
1,
0.9272952079772949,
1,
0
],
"status": "success"
},
{
"guid": "4c8b4f68-7010-47eb-a3e3-3aa699e82674",
"type": "view",
"role": "3d",
"name": "Section Perspective",
"camera": [
8.170970916748047,
29.014333724975586,
5.741469860076904,
-82.0259780883789,
-107.69042205810547,
5.741469860076904,
7.771561172376096e-16,
2.914335439641036e-16,
1,
1,
0.9272952079772949,
1,
0
],
"status": "success"
},
{
"guid": "33f941f3-81d1-41c5-82e5-346731d79f34",
"type": "view",
"role": "3d",
"name": "Solar Analysis",
"camera": [
62.19073486328125,
-142.4400634765625,
161.65139770507812,
-32.913902282714844,
-97.60645294189453,
8.838506698608398,
-0.7451809644699097,
0.3512883186340332,
0.5668349266052246,
1,
45,
273.4084777832031,
1
],
"status": "success"
},
{
"guid": "41b33c50-bcdf-4f57-8101-5f8af6ece8eb",
"type": "view",
"role": "3d",
"name": "{3D}",
"camera": [
-104.73332977294922,
-202.08343505859375,
67.68977355957031,
-103.85852813720703,
-103.78852081298828,
5.5336480140686035,
0.004756217356771231,
0.5344184637069702,
0.8452067375183105,
1,
45,
424.3688049316406,
1
],
"status": "success"
}
]
}
Now we use the Kitchen view to illustrate the workflow:
{
"guid": "3dc842c3-acf9-4921-8d54-ffebf86500d1",
"type": "view",
"role": "3d",
"name": "Kitchen",
"camera": [
-71.70982360839844,
-77.9845199584961,
4.921259880065918,
10.964564323425293,
-15.158869743347168,
4.921259880065918,
4.996003610813204e-16,
-4.440892098500626e-16,
1,
1,
0.9272952079772949,
1,
0
],
"status": "success"
}
First, let's convert it from original model space into the viewer's:
const nwVP = JSON.parse( // the above JSON );
const camera = nwVP.camera;
const nwVPName = nwVP.name;
const placementWithOffset = viewer.model.getData().placementWithOffset;
const pos = new THREE.Vector3( camera[0], camera[1], camera[2] );
const target = new THREE.Vector3( camera[3], camera[4], camera[5] );
const up = new THREE.Vector3( camera[6], camera[7], camera[8] );
const aspect = camera[9];
const fov = camera[10] / Math.PI * 180;
const orthoScale = camera[11];
const isPerspective = !camera[12];
const offsetPos = pos.applyMatrix4( placementWithOffset );
const offsetTarget = target.applyMatrix4( placementWithOffset );
const nwSavedViewpoints = [];
nwSavedViewpoints.push(
{
aspect: aspect,
isPerspective: isPerspective,
fov: fov,
position: offsetPos,
target: offsetTarget,
up: up,
orthoScale: orthoScale,
name: nwVPName
}
);
Afterward, switch the viewpoint by
viewer.impl.setViewFromCamera( nwSavedViewpoints[0] );
Lastly, you may be aware the above converted camera definition will have the almost same value (floating precision issue) as viewer.model.getData().cameras[1]
Hope it helps!
Cheers,
Updates for sectioning mapping
If your saved viewpoint contains a section plane, the response of GET:urn/manifest would have something like this:
{
"guid": "54794b24-d9ef-4a1a-b5aa-8bbf35de2c55",
"type": "view",
"role": "3d",
"name": "Section Test",
"camera": [
-264.2721252441406,
-79.92520141601562,
148.0021209716797,
-42.678688049316406,
-73.8739013671875,
0.7752543091773987,
0.5530436635017395,
0.01510258112102747,
0.8330153822898865,
1.4948216676712036,
0.785398006439209,
1,
0
],
"sectionPlane": [
-0.803684066258349,
-0.5950562340169588,
0,
-92.04215879314862
],
"status": "success"
}
The sectionPlane attribute is the target we want. So, the conversion is
const forge_model_offset = viewer.model.getData().globalOffset;
// assume the param of Navisworks clip plane is available
//I copied from the response of the GET:urn/manifest
const navis_clip_plane = { x: -0.803684066258349, y: -0.5950562340169588, z: 0,d:-92.04215879314862 };
//calculate exact distance in Forge Viewer
const dis_in_forge =( forge_model_offset.x * navis_clip_plane.x +
forge_model_offset.y * navis_clip_plane.y +
forge_model_offset.z * navis_clip_plane.z) + navis_clip_plane.d;
const cutplanes = [
new THREE.Vector4( navis_clip_plane.x, navis_clip_plane.y, navis_clip_plane.z, dis_in_forge )
];
//apply the plane to sectioning
viewer.setCutPlanes( cutplanes )
这篇关于是否可以在 Forge 中获取 nwd 模型的已保存视图的名称?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！