AU Class
AU Class
class - AU

Create an automated 3D Catalogue leveraging Forge, Inventor and Vault

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

Manufacturing companies have a headache about visualising their designs. They need to revise their printed catalogues as their designs get changed. What if there is an automated way to overcome this obstacle? In this class, we will be presenting you solution to have a fully automated 3d catalogue using Autodesk Vault, Inventor and Forge. Learn how to leverage Robotic Process Automation to create dynamic data on your own website.

主要学习内容

  • Learn the Forge workflows for visualisation
  • Understand your options about data sharing
  • Create a simple viewer on your website
  • Learn about Vault API, Forge Viewer API and Model Derivative API

讲师

  • Hickiran Tolgay 的头像
    Hickiran Tolgay
    System Enthusiast, 3rd party programmer, Industrial Engineer, Improvement Leader. Tolgay finished his bachelor as an Industrial Systems Engineer and did his double major on Business Administration at Izmir University of Economics Turkey. Then he went on doing his MSc in the UK at King's College London. He loves to eliminate waste from processes and works to optimize office productivity. He managed Autodesk Vault at Electron. Tolgay and his colleagues done two AU speeches in Istanbul, one in London and one in Dubai also got accepted to AU Vegas 2017 about Design Automation. Autodesk Turkey made their success story as we've managed to use iLogic extensively. Now they are working on the entire workflow of project firms, from sales to installation. Tolgay and his team earned Forge Hackathon 2020 for the "Best Visualization App" with Cemer Playground Equipment project, his team also got Jury's Award on Forge Hackathon 2021 with their Configurator Integration project with Kingsley Composites UK.
Video Player is loading.
Current Time 0:00
Duration 27:23
Loaded: 0.60%
Stream Type LIVE
Remaining Time 27:23
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

TOLGAY HICKIRAN: Hello, guys. This is Tolgay. Today I'm going to be presenting you, Create an Automated 3D Catalog Leveraging Forge, Inventor, and Vault. You can check me out in LinkedIn. I'm a frequent poster about Autodesk and Unity, basically. This is my third time presenting at Autodesk University. And I presented a couple of times in extensions as well.

[INAUDIBLE] Codeo basically started off as two people, Kivanc and myself. Kivanc is a mechanical engineer, and I'm an industrial engineer. We are both Autodesk expert elites. We mainly focus on Autodesk products, and creating actually third party software for Autodesk products, leveraging mainly Autodesk Inventor, Autodesk Vault, and Autodesk Forge. Kivanc mostly works on the design side, the design automation, and the sales automation side. And myself is working on third party software creation, user experiences, and UI design-- automations and databases as well.

So we partner with a couple of companies. The biggest one is obviously Autodesk. We are an Authorized Developer for Autodesk and Academic Partner for Autodesk, a Services Marketplace Provider for Autodesk, and an Independent Software Vendor for Autodesk. We obviously have an independent software being developed right now, called Autocase. This is going to be based on Inventor OEM. We are also a training center and then reseller for Unity. I am actually a Unity Certified Instructor, and an Autodesk Certified instructor as well. So we do training in these products.

We do have a couple more, like Sketchfab. Actually, all these partnerships work for the thing called configurator. So Codeo actually makes configurators-- a lot of configurators. You can find examples in our website. And we are also a testing center for Autodesk products, like the user certification and the professional certification. So our main products are our configurators, training, software sales, and we also do engineering services like consultancy services and simulation services, especially on Autodesk CFT.

We do have a lot of European customers. We are situated in Turkey. And then we are focusing on the EMEA region obviously. Most of the time it's the UK.

We are situated in the first steps of industry 4.0, and we call this the step 01 one and 02. And this actually starts with sales automation and configurations. So we tend to be on the data generation side rather than the actual physical automation side.

So what brings us today here? Let's talk about the problem definition. We are going to talk about the 3D catalogs that we can create with Autodesk products, and actual 3D catalogs with Autodesk Forge Weaver. The problem comes along in two steps.

The first problem that we have, is the revisions. Revisions actually happen all the time. Designs get changed. New colors are added. Things change. Materials change. The list continues. It goes on forever, basically.

So does this propagate into catalogs? No, because our catalogs are mostly 2D and pressed. They're actually created with different software, like Adobe products, et cetera. And they are very static. So the biggest problem we have is doing a revision on an assembly that we have.

The second problem comes up, where the CAD data is there, but not really useful for sales. There is a lot of information in the CAD data, a lot of metadata that we have to work on. But the sales doesn't really need it. Creating 3D visualization takes time and effort. All the time, we need to use some type of a stack, where we have to create a usable 3D data for visualization, for let's say, Lumion or Unity or something else. We need to do a lot of pre-work.

And it's always, always, always harder to convince the customer with only pictures. Right? We are at a stage where the customer wants more. They want augmented reality. They want virtual reality. And you're trying to sell your products in 2D pictures, basically. It is going to be very hard. To keep up with the competition, you need to think from somewhere else. So the static visualization is becoming more and more obsolete. We are going to see static visualization less over time now. And I think-- this is obviously personal-- it is going to be an exponentially increasing process going through the 2D to 3D revolution in visualization.

So how can we solve these problems? We have a couple of obviously current solutions in the market. These are just one of the few that are found on the internet. One of them is called CADenas. CADenas has a solution where you can put your parts in, and visualize them on the web browser. Basically, this is one of the examples. Their tool, called Tool Architect. You can check from the website. You can obviously visualize your parts, visualize your assemblies, make some differences inside, check the dimensions, as well as also getting some screenshots.

Traceparts is another one. These are very well known and very long timed catalog sites, that we can find over Google, over the internet, et cetera. Traceparts is very well known. As can see, you can get dimensions. You can basically look and feel, and check how it looks like over the internet. So this gives a type of edge for the people that are using the website. We are selling a product and we can show the product in 3D over our website, basically.

So how can we solve the same problem with Autodesk products? Well, the solution is Forge. Forge has more than eight different APIs that we can use. These are called design automation, data management API, model derivative API, behavior API, BIM 360 API. Now it's coming like Civil 3D API. And there's going to be more APIs over time.

This is where we are starting the custom solution revolution, let's say. Because more and more companies want to create their own custom solutions. And Forge is a very, very nice way to start from. Because we already are experts on Inventor, experts on Revit, experts on Macs, whatever software we are using. And Autodesk gave us the ability to create, with these APIs, basically on the internet, which is-- it's amazing. You can build whatever you want.

So when our customer came to us and asked for a 3D catalog, we came to a conclusion. And we said to ourselves, why not? Let's create a catalog in Forge. So the first approach to the problem started from one of our customers. They came to us and they asked, how can we achieve this? How can we create a 3D catalog that's living? That's not static, that is living? This is the key part. It needs to live.

So most of the manufacturers' workflow looks similar to this. We use CAD software to create the design. We use the PDM software to store the design, revise, create version controls, et cetera. We use some type of a visualization modeling software and a visualization software. These can be the same. But these can be different, also. Because we need to create some type of a model that could be rendered, and then we need to render. So these can be different.

In our case, most of the time when we are working in Autodesk space, this is what we see. Right? We see the design with Autodesk Inventor. We see the documentation, the PDM system with Autodesk Vault. Most of the time, and so obviously, Autodesk Vault Professional, not Basic. For the design visualization model, [INAUDIBLE] we most of the time see 3ds Max, because it's paired with Inventor. And next stop, is obviously because of its ease of use, we tend to see Vray and Lumion after Max.

So this is a basic stack of how manufacturers work. And obviously, while working in the stack, you lose some information, coming from Inventor to Vault, to Vault to Max, to Max to Vray and Lumion. So there is not really a fluid, and an automated process from one side to the other. Obviously Inventor, Vault is much more automated. But from Vault to Max, that's not really an automation that we can talk about, because we need to do a lot of different stuff after grabbing the model itself.

So when the customer approached us, we said to ourselves, OK. We should be starting from somewhere. But we shouldn't only look for our own solution. We should actually really understand the customer. What are they doing? They were already our customers. So we knew a lot of stuff about them.

Cemer Playground Equipment is one of the bigger playground manufacturers in the world. 50,000 meters square closed space, 50,000 more in open space, so it's a very, very big factory with nine different buildings, and with seven different production types. They do produce wood. They do produce plastic, metal, sheet metal. You can basically find all the different types of manufacturing, even 3D printing.

So we decided to take a look at all the actual process there. So for four weeks, which took us four working days, we actually created a report and presented our solution to our customer. So the solution looks like this. We always, always, always look for a central approach in these type of projects. So we need to put the data at the center, basically. Because if you have a workflow that has very many areas, you need to be making sure that all the data that is inside of your workflow, needs to be the exact same thing.

Most of the time, when you're trying to create a catalog, this is not the case. You have your catalog two revisions before. And you've actually changed a lot of stuff in your Inventor model. What tends to happen is, that the salesperson sells the two-revisions-before before item to whatever customer they're going for. And for example, something actually really, really got changed. So it adds a negative value when you are trying to manufacture the exact same old system that you're going for in an assembly.

So we need to make sure-- this is the first item. We need to make sure that we are going for a datacenter approach. 3D CAD documents were already created with Autodesk Inventor. This could be the case for any other CAD application. So there is a 3D based platform, already maintained. All the documents are actually being maintained with Autodesk Vault. This is also another very nice addition. Because going for a solution like this, you need to make sure that something has to be at the center.

And Vault is the perfect candidate here, because that is the actual database that we can go for. Because all the revisions are taken care of Autodesk Vault. We can also leverage this technology as well. So after a very, very good consideration, we decided to go for a new workflow. Vault at the center.

We do our design, we do our revisions, and do our check-ins from Autodesk Inventor. Vault takes care of creating the DWF files, version control, automatic and manual trigger for the catalog. So we said we are going to create a third party-- not one but two third parties, one for Vault, one for Windows, to take care of all the data managed in the Vault. Basically there is only one way to go back, which is from Vault to Inventor and Inventor to Vault. But otherwise, it's a very lean approach.

So after Vault, we can export the DWFs, the PDFs of the assembly items-- the playground assemblies basically-- the renders of the items. And then take all of them, rename them in a smart sense, and actually automatically upload it to the Forge regularly, depending on what the customer wants. Like, how frequent the customer changes their revisions, basically.

After our third parties, Autodesk Forge takes care of the cloud space. So it's our actual second database. And then model derivative, if need be, takes care of the automated changes that needs to be done on the website. And we are also using the [INAUDIBLE]. And as you may or may not know, Autodesk Forge also takes care of version control. So this is perfect for us.

After this, the Cemer's website has an automated check from our Autodesk Forge cloud space. It has an embedded viewer. It has a 3D catalog and a website. So this is what we offered to the customer. And then we started obviously developing the software.

This is one of the software that we developed, uploader for Windows. As you can see, we can check all the buckets that we have from Autodesk Forge. And we can also upload, download, et cetera. So we can do a lot of things. This is show bucket contents. We can create a bucket from here, as you can see. We can have very many buckets in Forge, as you may or may not know. So we can create a bucket. We can delete a bucket.

We have the ability to automatically upload at any point in the day, or throughout the day. Or we can also do a manual upload. This is obviously again up to us. You might ask, why do you want to automatically upload this? Well, the customer might not want to have some type of an uploading operation during their work time. So this is why we are basically doing an automatic upload, for example, every day at 8:00 PM, when no one is at the office.

We can also see the list of the uploaded items. Whether they're uploaded OK or not, whether there was a shortage of electricity, et cetera. Is everything OK? Because this is very crucial. We are trying to get the most recent data possible to Autodesk Forge, all the time. Because we want to have a living 3D catalog.

And our second third party development was in Autodesk Vault, actually. So this is a very, very small add-in that we created. What it does, it just takes care of all the render files, all the PDFs, all the main assembly DWFs, and it renames everything according to the main assembly. So basically we are using some type of a smart coding system to take all the necessary files related with a catalog-- meaning could be renders, could be safety PDFs, could be a lot of different stuff. We are going to show a couple of examples, anyway. And these are automatically exported to the auto uploading folder.

So the user-- the designer-- it might be a designer. It might be the CAD administrator. In this case, it is the visualization person-- automatically exports all the necessary files regarding with that assembly. The use languages are-- for the auto uploader, it's basically C#.NET, NET Core, Autodesk Forge Model Derivative API, and data management API. So for the uploader, we are using these APIs. For the preparation add-in for Autodesk Vault, we are using C#.NET and Vault API Web Services. So basically we created these two different items to create this automatic 3D catalog system. Let's see the end result.

So here is Cemer's new website, published around four, five months ago. And all the products over here are automatically uploaded from our third party. We have the filter system. You can filter out all the activities if you want to. It's like hanging, interactions, pushing, sliding, pulling, et cetera. You can apply a filter. You can also apply a age filter, or a fall height. And then you can open up any assembly you want.

As you can see, there are renders of the product. There is also the other documentation, technical information, which is a PDF. That's coming from Vault. And also downloadable DWGs coming from Vault again. But this is the nicest part of course. You can obviously see all the 3D data inside your website, with proper coloring, proper texturing. This is all because of Autodesk Forge.

And maybe you can also see, some of the options are not available for the customer at the moment. It's because that we are limiting the user's interactions inside Autodesk Forge Viva. They are giving some of the options, like measuring, and list of the bill of materials, to rather super-users, rather than a random person that's coming to the website. This is kind of a security measure that we created for our own customers. We don't want the end user to get filled with a lot of information, anyway. Because as you can see, these assemblies have a lot of parts. More of the time, it's above 1 K range. So a playground manufacturer assembly takes around more than 1,000 parts, basically.

So what happened in the end? What's the conclusion? Comparing it to the old versus new, we had very many static images in our catalogs. Actually, only static images. We might have some animations created, but they were also static because they're not interactive. We had revised content almost always stay old. Because then you actually create a catalog. Maybe two days after, some random design gets revised, because a company like Cemer has more than 800 big designs, that is end product type of designs. I'm not even talking about subassemblies. You can imagine a lot of subassemblies are also created in this type of factories.

So old content gets sold, creates a ton of problems. Imagine you're the salesperson going to a potential customer-- potential lead-- and then the lead actually selects an item that is the old revision. And they actually say, I really want this item. This happens all the time, by the way. So you can actually feel the pain.

Catalog content is manually created, so you need to manually create the catalogs. This is rather a dull and a non-value adding operation. I'm an industrial engineer and I really hate these type of processes. These are called muda. These are called muda in Japanese. We need to remove all the muda from our operations.

So what about the new system? So we have an interactive catalog. We can do all the stuff that we want inside the interactive catalog. We can also add color changes if you want to. We can create a configurator out of it. This is a bit of an easier version that we created, let's say, that you're seeing. But it is very, very handy, as you can see. It's all automated.

Revisions propagate seamlessly. All the revisions get done after Autodesk Vault. So basically, you're almost 100% sure that your Autodesk Vault has a digital twin on Autodesk Forge. Content is always recent, right? It's always, always recent, and this is the idea of creating a 3D catalog. This is the second idea, let's say. The first idea is obviously creating an interactive 3D catalog.

Aftersales orders are easier with data management API. This is also very crucial. All the single time, when you're manufacturing for all over the world-- Cemer has 65 countries that work with them. So all the time when you're trying to get an aftersales order for a subassembly for a part that's broken down, et cetera, it's always hard. But with a viewer like this, every single part is in the bomb list. So aftersales doesn't have much time creating an order, because they all know the exact same part number, which is very, very nice in this case.

So what's next? From here, we need to create extended reality applications, whether it's augmented reality, whether it's virtual reality. We can create different approaches here. Our actual next approach is to create an automated augmented reality version of the Forge catalog. This is in the works. And we are also going to create a VR application for park creation. Basically one for the end user, one for the sales.

So as you can see, by using Forge, you can create not only for the design but for the sales, for the marketing, for the production, every single place, actually-- for the installation as well. This was a great time for us. Thanks for joining, guys. Thanks for listening to the presentation. I'll be taking all the questions on 7th of October. Thank you and see you soon.

______
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。