AU Class
AU Class
class - AU

Tunnel and Infrastructure Modeling with Dynamo and Revit

共享此课程
在视频、演示文稿幻灯片和讲义中搜索关键字:

说明

Technology is growing rapidly and Revit software is no exception. It started with limitations of a few kilometers, and with time went over to tenths of kilometers as a model-size limitation in Revit. Despite of this, rumor still has it that Revit can't be used for large spanning projects. Engineers wouldn't be engineers if they took "no" for an answer, and we didn't. Instead, we chose the most extreme project-the world's deepest and longest subsea road tunnel "Rogfast"-and made it happen. Take Revit and marry it with Dynamo software and you have the ultimate solution for any challenge. Join the session and see it for yourself. We will share workflows developed and lessons learned.

主要学习内容

  • Learn how the world's deepest and longest subsea road tunnel was made possible, busting the size-limitation myth in Revit
  • Learn how to handle large-scale complex geometries, clothoids, road alignments—you name it
  • Discover best practices with Dynamo in infrastructure projects
  • Learn how to use the benefits of database integration

讲师

  • Torbjørn Andersen
    MSc Civil Engineer working within a wide range of infrastructure projects, design of tunnels and underground caverns at Norconsult. BIM and technology enthusiast hooked on Revit and a Dynamo junkie. Technology, innovation and optimization are the passions that keeps me going.
Video Player is loading.
Current Time 0:00
Duration 33:23
Loaded: 0.50%
Stream Type LIVE
Remaining Time 33:23
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

THORBJORN ANDERSSON: Good afternoon, people. I'm Thorbjorn Andersson from Norway. I work at a company called [INAUDIBLE]. I'm here to present tunnel and infrastructure modeling with Dynamo and Revit. So a bit about the obligatory first. Norconsult, we're the largest leading multidisciplinary consultancy company in Norway. We have offices all around the world mostly and work within, say, most of the-- everything from construction to infrastructure and environments. I'm going to be talking a bit about a project of ours, called Rogfast, and focusing mostly what we've done there.

And Rogfast is actually during the design phase at the moment. When complete, it will be the world's deepest and longest subzero tunnel, 27 kilometers long and 390 meters below sea level at its deepest point. The project owner is the Norwegian Public Roads Administration, and it's located outside of [INAUDIBLE] in Norway, in the communities of Bokn, Kvitsoy, on Randaberg. It's an estimated project cost of around $16.5 billion NOX.

And to give you a bit of overview about the project, I think we'll run of an information movie from the Norwegian Public Roads Administration illustrating the project. So basically, this is actually what got us started with Dynamo and Revit with infrastructure. This is one of our largest projects, and it's also one of the definitely largest infrastructure projects in Norway. We started the detailed design phase of this round two years ago in January last year, and we're going to start detailed design and modeling, of course. So the big question, at the moment, was how we were going to do it?

When you have a large project, such as this, with a 27-kilometer-long two-tube tunnel-- let's see. Yeah, it's a massive scale. For instance, we have three places with the ventilation shafts up to 250 meters deep. For every 250 meters there, we have eight exits between the tunnels. We have the technical buildings for every 1 and 1/2 kilometers in both tunnels, and for every 125 meters there's an emergency kiosk like that. And around the middle, we have an exit tunnel up to the island of Kvitsoy, and below there is a actually a two-level intersection with two roundabouts 290 meters below sea level. So that's kind of crazy.

This is the challenge facing us two years ago. We're going to start modeling this basically. For the tunnel profile itself, the thing that [INAUDIBLE]-- we have decided that we're going to use Gemini, and for the road design itself we use Nova Points, but for the structures and technical installations, everything, we haven't decided on a software. So this is an overview of the area between Kvitsoy. Here, you have the roundabouts and access tunnel, and this is the ventilation system-- one of three locations where we have shafts up to the surface to ventilate the two tunnels. And the exit tunnel up to Kvitsoy is around four-kilometers long, so basically we have around 60 kilometers of tunnels in this project.

From Kvitsoy, it continuous up to the community of Bokn, and it crosses the deepest point there at 390 meters below sea level. So that gives you a quick overview of the project. Basically, we have hundreds of structures-- like, 600, 700 of them. We have thousands of installations. And we needed a software, something to automate our work, because doing this, modeling this, tunnel manually, that would be lunacy basically, because you'd spend two years just modeling it once. And if something changes, you're screwed, because you'd spend another two years updating the model. So the project will start construction somewhere around in next year and will be built until 2025, 2026, so we're still eight years away from completion around that.

This is the [INAUDIBLE], the most complicated one project. So why we started with Revit and Dynamo? Because up until then, at least in Norway, it was usually CAD-based products that was used within infrastructure like AutoCAD with Nova Points, and the problem with that is they're too manual. And of course, if you want to deliver BIM, you want to do that without AutoCAD.

So we have the different departments around us, energy, at our firm. We use Dynamo within different projects. They tipped us that this could be a good idea, so we started looking into it and actually found out that we could automate a lot of the modeling if we switched to Revit with Dynamo. So how to begin with infrastructure modeling in Revit and Dynamo? First of all, the first challenge is actually getting the road body into the program. Yeah. Yeah, of course, the main challenges of infrastructure projects is that there are no plane levels to model structures or place objects.

You have alignments of the road, which means that you always have a tilted surface, which means that technical installations, they need to be tilted round all free access. Structures need to have the curvatures along the road, which means that you have a lot of complicated structures. Yeah, a complicated situation. This is a standard profile from a common tunnel in Norway. As you can see here, this profile is always tilted on the road surface, and you'll usually have a cross-sectional slope here. Yeah, of course, we also have very large-spanning models, which can be very hard to handle. For instance here, if you want to manually move from one side of the project to another, you're moving 27 kilometers, so that takes a while.

So with Dynamo, you have a way to automate your work processes and a way to handle complicated geometry. Basically, Dynamo can do everything Revit can't. Because even using Revit within infrastructure projects, well, it's not easy, basically because there are no easy ways to get a road geometry into it. And there are no easy ways to model complicated geometry. So first of all, when you want to get a road geometry into Dynamo, you have several options.

I'd say you've perhaps seen one of them, presented by, like, Deiter from [INAUDIBLE], from Autodesk, with corridor points from Civil 3D. It's one way you can use the physical polycurves from the road designing software. There are advantages and disadvantages of both of the methods, but I'd say that, personally, it comes down to data processing. Because I'd say that either you're using coordinates, or polycurves, or whatever you decide to use for the road geometry. It basically boils down to what takes the shortest amount of time to use for your type of projects.

So for instance, we started off with using, like, coordinates files at low cost, but the problem was the [INAUDIBLE] coordinate files for 60 kilometers of tunnels, you have massive amounts of data. And that data takes a long time to process, and that's why we actually switched to polycurves, because Dynamo can process them a lot faster. So I thought I'd just show a bit of a demonstration video. I'll actually focus most of the presentation around videos showing how we use Dynamo. So this is one of the scripts we have for placing objects in a tunnel. We've loaded the road geometry into Dynamo, or Revit, and we're using Excel as a tool of creating the data, telling Dynamo where to place the objects. We just say that on change number 20,000, for instance, on the right side, I want a concrete element. It goes into it, locates the concrete, calculates the position. Let's see if I can post this.

So in advance there, we've prepared the locations of the concrete elements in this model and basically just ran it into Dynamo to place them. This is just a 1/2 kilometers of concrete elements. So we, basically, here, Dynamo, you just tell-- for instance, on change number 15,000, there might be an emergency lay-by, so Dynamo automatically accounts for it. It finds that, OK, in this position, I need to offset the elements farther. I need to change the rotating angle of the elements and position it accordingly.

And in this way, you can actually model up a tunnel pretty quickly. Automatically, you can have a fully operational Revit model fast. What takes time is basically kind of furnishing the tunnel in advance, because kind of finding out where all the elements are positioned in the tunnel-- for instance, where all the signs are, where all the concrete elements are, or where the structures are-- and feeding the data-- of preparing the data to load into Dynamo. So for instance, we want door openings in the concrete elements here. We can just load in the file. That says, on these change numbers, I want a door, or in this case for Revit there will be a-- yeah, opening cuts. Thank you.

Yeah, an opening cuts. So it places the opening cuts at the correct position. It finds the corresponding concrete elements and cuts them against each other automatically, and basically that's what it could do for the rest of the technical installations and everything. You hand it a position, you'd say unchanged number, at the side of the tunnel. And either you use these-- kind of the road geometry-- to actually automatically calculate where it should be in the tunnel profile, or you can specify that on the 3 meters to the side of the central line and two meters up I want a site.

And the big advantage of this, with Revit especially, it has a database itself, which means that every element in the mobile has a unique element ID. And as long as you keep the element ID, and you keep a database or something, a spreadsheet, that you know that every element in the model and know the element ID, so you can actually run changes to the model automatically by just saying that's OK-- for instance, these elements, I want them on a new position like this. I've just taken, say, a section here. I say that, these concrete elements here, I want them moved to the other side of the tunnel. So I just put that into a spreadsheet and say that, OK, I want these moved. And I switch the tunnel in the Dynamo script, and it automatically loads in the road geometry, calculates the position, and moves the elements. So basically, you can automate away most of this modeling.

Yes, database integration. I'd say that for a large infrastructure project, a database for keeping overview of every technical installation of every structure and everything you have in your tunnel is actually essential, because using, like, sheets in Revit or in something, that's actually too hard. So if you want to know, for instance, where all the signs are in the tunnel, I'd recommend using a database to keep overview, because you have, like, a low-threshold place where people can go in and find the information they need. We use, actually, an external access database to log everything we have in our projects.

And that's the data from the database we feed into Dynamo, and it generates models based on what we have in here. So basically, that's just the position of the objects and everything. So the element IDs, for instance, we write them back into the database, so that we can update the model at the later points. Yeah, so the process of updating a model, instead of actually going into a model manually-like moving around objects and modeling structures, we go into the database. We update the information there. We take it out to a spreadsheet, which is kind of the link between the database and the model, and we run changes the model via Dynamo.

So for instance, for all the structures in our projects, we have, like, 47 technical buildings, and pump stations, and 470 kiosks. And they're all in separate Revit models, but they're all identical. So to place them, we basically just say that on certain changes numbers I want a structure. Dynamo, again, reads the data, calculates the position, and then positions the objects. So for instance, this is all the technical buildings along one of the tunnels, at the low cost, around 20 of them. It takes a minute, seconds even, to calculate and position all these structures.

So basically, we built up these scripts. We use it on the tunnel projects. For instance there, if you want to place something on a certain project, you just go into the script. You type in which project you're working on, which road alignments you work on, and it's automatically goes on our servers to find the correct files and does the calculations. And as I've mentioned before, we always say take the element IDs back into our database, so that we can update the model at a later point.

As you can see here, for instance. At the side of the tunnel, you always have, like, a concrete side area. You have a concrete element, and the structure has to be positioned [INAUDIBLE] behind the concrete elements, so with Dynamo you can actually model up the exact situation to find the correct position of the structure and automatically do that for every single situation. And it's on [INAUDIBLE] as you can see here. And this is an interesting point, because here [INAUDIBLE], we have 109 emergency exits-- a cross passage between the two tunnels-- and the challenge with structures like that is that they all contain the same components.

You have, like, concrete structures. You have some cable trays, conduits, and stuff like that. But because the alignments of the two tunnels don't follow each other exactly-- they have various heights. You have different lengths within the tunnels-- you need some way to automate the modeling of the structures between the tunnels. So I'm going to quickly show you how we do that.

First of all, we start off by just locating and placing the objects elements connected to the two tunnels separately just like this. Basically, it just calculates every position of every single element in the zone. It places both for the doors. It places both a door and a void element, so that we can use to [INAUDIBLE] later. So yeah, basically here, we like working on-- we worked actually on one tunnel at a time, and that's mostly because of the amount of data you need to cover the entire tunnel system. A Dynamo uses significantly shorter time to process 27 kilometers of data, rather than 60, of course. So we split it into-- you always work on one road at a time. So there, we have the structures and all the components connected to each tunnel, and for the concrete slabs itself and the gravel between the two tunnels, which is kind of funny, because with Dynamo you can't actually model a concrete floor and add a slope to it, as far as I've found out, at least.

But you can model a slab, add a slope to that one, and manipulate that with Dynamo. So to model the concrete slabs, you just model up one at the beginning. Add a slope to it and say where you want this connected to each of the two tunnels. And basically, it automatically models up all of the concrete slabs accurately between the two tunnels, so within, like, 10 minutes actually, you can model up all 109 cross passages in this project with Dynamo, as long as you created these lists in advance of what components are going to be placed where. And that saves us for, like, a lot of time, because if we were going to do this manually you'd be sitting there for weeks probably just trying to find out where the concrete slabs are supposed to be.

The height at each tunnel, that's a hopeless job. It takes forever, but Dynamo can actually process that in seconds. So I think it took, like, 10 to 15 minutes from when we began this to, actually, all the 109 cross passages was a-- basically, you can do this with whatever you'd need in there-- for instance, a cable trace, conduits. As long as you can calculate the position of the structure connected to each tunnel, you can calculate the position of anything in there. So we'll just finish off the last one here with adding the cable trace. Let me skip ahead a bit.

The curvature you see there is just a preview of the geometry. Basically, that's where I want the-- I told Dynamo to place the cable trace. You run the scripts, and it automatically models up the tracing of all 109 cross passages, basically, in a minute or two. So this is actually pretty effective.

When it comes to modeling structures aligned with the road, I thought I'd use-- this is actually one of my favorite examples. For instance, this is a sketch we got from the architect. When you have the long tunnel, such as this [INAUDIBLE], you kind of need something in the tunnel that breaks up the monotony of all these concrete elements. If you, like, tens of thousands of concrete elements, your drivers tend to get sleepy when they drive for it, so we have an architect at a different firm who designed something here. So this is a sketch we got from the architect. This is what she wanted.

So I sat down with this, scratching my head, and thinking, OK, what the hell am I looking at, basically. Because yeah, it's not always easy to understand these architects, to put it mildly. So this structure here ended up with these bloated scripts for MyLib, because we had scheduled a meeting with the architect and a couple of senior people at the firm for a day. And we were supposed to sit down, and go through this design, and test different versions of it. And that's kind of challenging, because the only way you can actually sit down in a meeting and test different designs, you need a parametric designer. And that's where Dynamo comes in. See there.

So basically, what we did-- the day before the meeting, we tried actually figuring out what can the architect come up with, of changes. We created parameters for everything there, from the width of these slopes up there to the slope up from the asphalt, and ended up with this. You can see down here in the right corner. And modeled up with Dynamo, it looks something like this. And this is kind of cool, because if you have the road geometry in Dynamo, you can basically do whatever you want.

So in this case, you just define a profile, and say that, OK, from this change number to this change number I want this profile. And you just add parameters. Like, add the model of the asphalt, then create some planes, some curves, and basically create pretty complicated geometry with this and take it into Revit. So with Dynamo, we actually had got the opportunity just sit in a meeting, test different designs, take it into Navisworks, check how does this actually look. So we actually, in the two hours, agreed upon a design, which I'd say is a kind of record.

Usually, you create a design. You model up something. You send it to the architect. You get some feedback, your comments, and you change something. And you send it back, and there's a lot of back and forth there. And this is the end results, and this is actually the design we were going for. It's kind of a lighting to break up the monotonous design of concrete elements. We ended up eventually rejecting the design, because the lighting didn't give the exact effect. So we tested this in 3DS Max, and it didn't work out.

So this is a rendering of the Revit model of the [INAUDIBLE]-- or parts of it, at least. You can see all of the technical installations there. You have structures, concrete elements, everything there is modeled-- everything except the MEP here. That's from Gemini. This is the clip of the Navisworks model of the intersection below Kvitsoy, where you can see all the cross passages. You can see some technical buildings there. These are the ventilation shots. So basically, we model up most of the installations and the structures with Revit and Dynamo. The MEP is from a different software mostly because it's-- well, you can do it with Dynamo, but I'd say we have better software for handling that.

This is also a quick overview for everything-- from signs, cable trace, and conduits. The conduits, up to the roof of the tunnel, we take those in Dynamo, but the conduits in the longitudinal direction we do with different software. So are there are any questions?

Downloads

______
icon-svg-close-thick

Cookie 首选项

您的隐私对我们非常重要,为您提供出色的体验是我们的责任。为了帮助自定义信息和构建应用程序,我们会收集有关您如何使用此站点的数据。

我们是否可以收集并使用您的数据?

详细了解我们使用的第三方服务以及我们的隐私声明

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

通过这些 Cookie,我们可以记录您的偏好或登录信息,响应您的请求或完成购物车中物品或服务的订购。

改善您的体验 – 使我们能够为您展示与您相关的内容

通过这些 Cookie,我们可以提供增强的功能和个性化服务。可能由我们或第三方提供商进行设置,我们会利用其服务为您提供定制的信息和体验。如果您不允许使用这些 Cookie,可能会无法使用某些或全部服务。

定制您的广告 – 允许我们为您提供针对性的广告

这些 Cookie 会根据您的活动和兴趣收集有关您的数据,以便向您显示相关广告并跟踪其效果。通过收集这些数据,我们可以更有针对性地向您显示与您的兴趣相关的广告。如果您不允许使用这些 Cookie,您看到的广告将缺乏针对性。

icon-svg-close-thick

第三方服务

详细了解每个类别中我们所用的第三方服务,以及我们如何使用所收集的与您的网络活动相关的数据。

icon-svg-hide-thick

icon-svg-show-thick

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

Qualtrics
我们通过 Qualtrics 借助调查或联机表单获得您的反馈。您可能会被随机选定参与某项调查,或者您可以主动向我们提供反馈。填写调查之前,我们将收集数据以更好地了解您所执行的操作。这有助于我们解决您可能遇到的问题。. Qualtrics 隐私政策
Akamai mPulse
我们通过 Akamai mPulse 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Akamai mPulse 隐私政策
Digital River
我们通过 Digital River 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Digital River 隐私政策
Dynatrace
我们通过 Dynatrace 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Dynatrace 隐私政策
Khoros
我们通过 Khoros 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Khoros 隐私政策
Launch Darkly
我们通过 Launch Darkly 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Launch Darkly 隐私政策
New Relic
我们通过 New Relic 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. New Relic 隐私政策
Salesforce Live Agent
我们通过 Salesforce Live Agent 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Salesforce Live Agent 隐私政策
Wistia
我们通过 Wistia 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Wistia 隐私政策
Tealium
我们通过 Tealium 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Tealium 隐私政策
Upsellit
我们通过 Upsellit 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Upsellit 隐私政策
CJ Affiliates
我们通过 CJ Affiliates 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. CJ Affiliates 隐私政策
Commission Factory
我们通过 Commission Factory 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Commission Factory 隐私政策
Google Analytics (Strictly Necessary)
我们通过 Google Analytics (Strictly Necessary) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Strictly Necessary) 隐私政策
Typepad Stats
我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

改善您的体验 – 使我们能够为您展示与您相关的内容

Google Optimize
我们通过 Google Optimize 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Google Optimize 隐私政策
ClickTale
我们通过 ClickTale 更好地了解您可能会在站点的哪些方面遇到困难。我们通过会话记录来帮助了解您与站点的交互方式,包括页面上的各种元素。将隐藏可能会识别个人身份的信息,而不会收集此信息。. ClickTale 隐私政策
OneSignal
我们通过 OneSignal 在 OneSignal 提供支持的站点上投放数字广告。根据 OneSignal 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 OneSignal 收集的与您相关的数据相整合。我们利用发送给 OneSignal 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. OneSignal 隐私政策
Optimizely
我们通过 Optimizely 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Optimizely 隐私政策
Amplitude
我们通过 Amplitude 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Amplitude 隐私政策
Snowplow
我们通过 Snowplow 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Snowplow 隐私政策
UserVoice
我们通过 UserVoice 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. UserVoice 隐私政策
Clearbit
Clearbit 允许实时数据扩充,为客户提供个性化且相关的体验。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。Clearbit 隐私政策
YouTube
YouTube 是一个视频共享平台,允许用户在我们的网站上查看和共享嵌入视频。YouTube 提供关于视频性能的观看指标。 YouTube 隐私政策

icon-svg-hide-thick

icon-svg-show-thick

定制您的广告 – 允许我们为您提供针对性的广告

Adobe Analytics
我们通过 Adobe Analytics 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Adobe Analytics 隐私政策
Google Analytics (Web Analytics)
我们通过 Google Analytics (Web Analytics) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Web Analytics) 隐私政策
AdWords
我们通过 AdWords 在 AdWords 提供支持的站点上投放数字广告。根据 AdWords 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AdWords 收集的与您相关的数据相整合。我们利用发送给 AdWords 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AdWords 隐私政策
Marketo
我们通过 Marketo 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。我们可能会将此数据与从其他信息源收集的数据相整合,以根据高级分析处理方法向您提供改进的销售体验或客户服务体验以及更相关的内容。. Marketo 隐私政策
Doubleclick
我们通过 Doubleclick 在 Doubleclick 提供支持的站点上投放数字广告。根据 Doubleclick 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Doubleclick 收集的与您相关的数据相整合。我们利用发送给 Doubleclick 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Doubleclick 隐私政策
HubSpot
我们通过 HubSpot 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。. HubSpot 隐私政策
Twitter
我们通过 Twitter 在 Twitter 提供支持的站点上投放数字广告。根据 Twitter 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Twitter 收集的与您相关的数据相整合。我们利用发送给 Twitter 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Twitter 隐私政策
Facebook
我们通过 Facebook 在 Facebook 提供支持的站点上投放数字广告。根据 Facebook 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Facebook 收集的与您相关的数据相整合。我们利用发送给 Facebook 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Facebook 隐私政策
LinkedIn
我们通过 LinkedIn 在 LinkedIn 提供支持的站点上投放数字广告。根据 LinkedIn 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 LinkedIn 收集的与您相关的数据相整合。我们利用发送给 LinkedIn 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. LinkedIn 隐私政策
Yahoo! Japan
我们通过 Yahoo! Japan 在 Yahoo! Japan 提供支持的站点上投放数字广告。根据 Yahoo! Japan 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Yahoo! Japan 收集的与您相关的数据相整合。我们利用发送给 Yahoo! Japan 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Yahoo! Japan 隐私政策
Naver
我们通过 Naver 在 Naver 提供支持的站点上投放数字广告。根据 Naver 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Naver 收集的与您相关的数据相整合。我们利用发送给 Naver 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Naver 隐私政策
Quantcast
我们通过 Quantcast 在 Quantcast 提供支持的站点上投放数字广告。根据 Quantcast 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Quantcast 收集的与您相关的数据相整合。我们利用发送给 Quantcast 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Quantcast 隐私政策
Call Tracking
我们通过 Call Tracking 为推广活动提供专属的电话号码。从而,使您可以更快地联系我们的支持人员并帮助我们更精确地评估我们的表现。我们可能会通过提供的电话号码收集与您在站点中的活动相关的数据。. Call Tracking 隐私政策
Wunderkind
我们通过 Wunderkind 在 Wunderkind 提供支持的站点上投放数字广告。根据 Wunderkind 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Wunderkind 收集的与您相关的数据相整合。我们利用发送给 Wunderkind 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Wunderkind 隐私政策
ADC Media
我们通过 ADC Media 在 ADC Media 提供支持的站点上投放数字广告。根据 ADC Media 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 ADC Media 收集的与您相关的数据相整合。我们利用发送给 ADC Media 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. ADC Media 隐私政策
AgrantSEM
我们通过 AgrantSEM 在 AgrantSEM 提供支持的站点上投放数字广告。根据 AgrantSEM 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AgrantSEM 收集的与您相关的数据相整合。我们利用发送给 AgrantSEM 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AgrantSEM 隐私政策
Bidtellect
我们通过 Bidtellect 在 Bidtellect 提供支持的站点上投放数字广告。根据 Bidtellect 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bidtellect 收集的与您相关的数据相整合。我们利用发送给 Bidtellect 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bidtellect 隐私政策
Bing
我们通过 Bing 在 Bing 提供支持的站点上投放数字广告。根据 Bing 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bing 收集的与您相关的数据相整合。我们利用发送给 Bing 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bing 隐私政策
G2Crowd
我们通过 G2Crowd 在 G2Crowd 提供支持的站点上投放数字广告。根据 G2Crowd 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 G2Crowd 收集的与您相关的数据相整合。我们利用发送给 G2Crowd 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. G2Crowd 隐私政策
NMPI Display
我们通过 NMPI Display 在 NMPI Display 提供支持的站点上投放数字广告。根据 NMPI Display 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 NMPI Display 收集的与您相关的数据相整合。我们利用发送给 NMPI Display 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. NMPI Display 隐私政策
VK
我们通过 VK 在 VK 提供支持的站点上投放数字广告。根据 VK 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 VK 收集的与您相关的数据相整合。我们利用发送给 VK 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. VK 隐私政策
Adobe Target
我们通过 Adobe Target 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Adobe Target 隐私政策
Google Analytics (Advertising)
我们通过 Google Analytics (Advertising) 在 Google Analytics (Advertising) 提供支持的站点上投放数字广告。根据 Google Analytics (Advertising) 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Google Analytics (Advertising) 收集的与您相关的数据相整合。我们利用发送给 Google Analytics (Advertising) 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Google Analytics (Advertising) 隐私政策
Trendkite
我们通过 Trendkite 在 Trendkite 提供支持的站点上投放数字广告。根据 Trendkite 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Trendkite 收集的与您相关的数据相整合。我们利用发送给 Trendkite 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Trendkite 隐私政策
Hotjar
我们通过 Hotjar 在 Hotjar 提供支持的站点上投放数字广告。根据 Hotjar 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Hotjar 收集的与您相关的数据相整合。我们利用发送给 Hotjar 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Hotjar 隐私政策
6 Sense
我们通过 6 Sense 在 6 Sense 提供支持的站点上投放数字广告。根据 6 Sense 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 6 Sense 收集的与您相关的数据相整合。我们利用发送给 6 Sense 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. 6 Sense 隐私政策
Terminus
我们通过 Terminus 在 Terminus 提供支持的站点上投放数字广告。根据 Terminus 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Terminus 收集的与您相关的数据相整合。我们利用发送给 Terminus 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Terminus 隐私政策
StackAdapt
我们通过 StackAdapt 在 StackAdapt 提供支持的站点上投放数字广告。根据 StackAdapt 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 StackAdapt 收集的与您相关的数据相整合。我们利用发送给 StackAdapt 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. StackAdapt 隐私政策
The Trade Desk
我们通过 The Trade Desk 在 The Trade Desk 提供支持的站点上投放数字广告。根据 The Trade Desk 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 The Trade Desk 收集的与您相关的数据相整合。我们利用发送给 The Trade Desk 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. The Trade Desk 隐私政策
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

是否确定要简化联机体验?

我们希望您能够从我们这里获得良好体验。对于上一屏幕中的类别,如果选择“是”,我们将收集并使用您的数据以自定义您的体验并为您构建更好的应用程序。您可以访问我们的“隐私声明”,根据需要更改您的设置。

个性化您的体验,选择由您来做。

我们重视隐私权。我们收集的数据可以帮助我们了解您对我们产品的使用情况、您可能感兴趣的信息以及我们可以在哪些方面做出改善以使您与 Autodesk 的沟通更为顺畅。

我们是否可以收集并使用您的数据,从而为您打造个性化的体验?

通过管理您在此站点的隐私设置来了解个性化体验的好处,或访问我们的隐私声明详细了解您的可用选项。