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F1 Grand Prix Through Autodesk Build and Autodesk Forge

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说明

In this case study, we’ll present the challenges involved in designing a set of software solutions to address F1 track construction process and asset management. This class will explore all available technologies such as Civil 3D software, Autodesk Build software, and Autodesk Forge software, but we’ll especially examine how they demanded integration to address specific race-track construction aspects. We’ll present customization scenarios and explore specific business. We’ll also present the positive impact we achieved by using Autodesk Build, Civil 3D, and customization through Autodesk Forge. We’ll analyze and present tight deadlines and dynamic changes to the process and to the pace of development from a stakeholder's perspective.

主要学习内容

  • Learn about the F1 track construction process.
  • Learn about Autodesk Build asset management.
  • Learn about Autodesk Forge customization.
  • Learn about mobile solutions for the field.

讲师

  • Fernando Malard 的头像
    Fernando Malard
    Fernando Malard is a civil engineer who has worked with AutoCAD software and ObjectARX technology since 1996 and with Revit software since 2009. He has also been an Autodesk Developer Network member since 1997. He has worked on several AutoCAD and Revit software applications for civil engineering, architecture, interior design, and geographic information system using ObjectARX technology, C++, Microsoft .NET, JavaScript, databases, and Autodesk APS Platform integration with BIM360 and ACC. Malard has had extensive experience teaching AutoCAD software, Revit software, C++, MFC, Microsoft .NET, and ObjectARX technology over the last years. Today he continues to apply his skills to the design and implementation of complex industry solutions in desktop, web, and cloud environments such as BIM360 and ACC through Autodesk APS. With his engineering background, have been working with construction companies to design and create integrations to their complex workflows. Malard has also worked in partnership with Autodesk, user communities, and he maintains a blog about ObjectARX technology. He holds a master’s degree in structural engineering from UFMG-Brazil and he is ofcdesk's CTO since 1999.
  • Mauricio Ritzmann 的头像
    Mauricio Ritzmann
    Mauricio Ritzmann is a champion of software design at Ofcdesk, and a mentor of business leader of practices and offices. As a CEO, he oversees initiatives related to software design and development, client development and strategic growth. An architect, he studied at Belas Artes de São Paulo and is member of the American Institute of Architects.
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Transcript

FERNANDO MALARD: Hello, and thank you for attending this case study at Autodesk University 2022. My name is Fernando Malard. I'm a civil engineer and CTO with Ofcdesk. Here is a case study about F1 Grand Prix through Autodesk Build and Autodesk Forge. Also, I would like to introduce our CEO, Mauricio Ritzmann, which joined us today.

MAURICIO RITZMANN: Hi, Mauricio Ritzmann here. I'm based out of Naperville, Illinois. I'm an architect and serving as a CEO for Ofcdesk since 2005.

FERNANDO MALARD: OK. Thank you, Mauricio. So this case study will be presenting how Ofcdesk helped Miami Grand Prix's race track construction process by creating a set of software solutions, integrating Civil 3D to Autodesk Build, custom mobile application, and viewer using Autodesk Forge. We will also explore all project challenges, aspects, and solutions.

I would like to begin with a reminder of this case study learning objectives. And we are going to talk, of course, about the Formula 1 track construction process. This is a mission critical project, and you're going to understand why we're considering these tasks, Autodesk Build Asset Management, which is the essential key for this project, Autodesk forge customization possibilities, its set of APIs and how they leverage the solution, and we're going to also learn about custom software for the field, both mobile and desktop solutions.

MAURICIO RITZMANN: But before we get started with the race track project, let's talk a little bit about the F1 history and our inspiration for this project. Here's a great quote from Walt Disney that truly represents what happens in projects like this. In order to be success, this project requires a lot of talented people, from engineers and construction workers, through F1 staff, race track teams, and of course, amazing drivers.

At Ofcdesk, we have a mission critical team. It's a team that has no problem being anywhere at any time. It's also important to them to have a skill set to perform under a lot of pressure. F1 started in 1950 with a seven-races championship when Nino Farina from Italy, driving an Alfa Romeo car, won three races and became the first world champion.

In 2021, Max Verstappen won 10 of 22 races and became the first one world champion for the first time driving a Red Bull car. You can see points changed a lot, but competition is still there. Last year was amazing.

Through all the years, there were several different drivers in teams, and this board shows how we talented drivers and constructors are. We can see Michael Schumacher is still the driver with more championships, seven. We can also see that Ferrari is by far the most successful team. Lewis Hamilton, from England, holds amazing stats.

F1 is a passionate sport in Brazil, our home country, as its apogee between '70s and '90s. Brazil won eight world championships in 20 years with three different amazing drivers. Ayrton Senna, my favorite, did some remarkable races. From these pictures, you can see how these race cars and tracks evolved a lot during the last 20 years. Safety has become a concern once drivers are dying, and we lost 32 of them.

Only 1952, helmets become mandatory. In 1967, seat belts became too. In 1970, fans had to stand 3 meters away from the track, and barriers were introduced. You can see here how cars become safer compared to '50s. And '80s, a hospital and a rescue helicopter were also mandatory. Unfortunately, in 1994, two drivers died in a single-race weekend, one of them, my favorite, Ayrton Senna. It is still considered the darkest week in Formula 1. After that, more and more safety measures started to play out.

In 2006, Tech Pro barriers start to be used. They can absorb 40% more energy compared to tire piles. In 2018, the halo cockpit protection became mandatory, and you can see in this picture that it actually works.

FERNANDO MALARD: Thank you, Mauricio. Now, that we saw how competition and safety are key elements in Formula 1, let's talk about the Miami Grand Prix project. So to start, let's take a look at the stats of this race. So our client, Apex Circuit Design, they hired us to create this project. They also had to manage their subcontractors. Project time was about four months, so we started by December of last year. The project has a really tight schedule, so mission critical, as we said.

The race weekend is going to happen by May 6 to 8, and now, of course, we need to have everything working and testing way before that because we have lots of logistics coming in. You have staff, you have equipment, so it was a very, very tight schedule. The back end of this project was composed by Autodesk Build and our Ofcdesk systems integration hub. Deliverables are going to be a simple mobile app for the field team, Civil3D plugin in a web portal with a viewer for managers there and stakeholders.

Here's a Google 3D image of the track. As you can see, it was very challenging since and it's been constructed around a stadium. On the upper left corner, you can see that even the track intercepted a bunch of ramps and bridges on the Miami Turnpike, and that was also very challenging. The circuit construction time is really short and asset management is a key element in the process. And of course, you can't postpone the race. You have a date, and that must happen at that specific date.

So some other stats, circuit name is the Miami International Autodrome. First race was held this year. They have a 10-year contract. Frankly, it's around 5,000 kilometers, around 3,200 miles. There are 19 turns in this track.

Race this year has 57 laps with a total of 308 kilometers, and a lap record was made by the winner, Max Verstappen, 1 minute 31 seconds and 0.361 milliseconds. Second place was made by Charles Leclerc from Ferrari, and third, by Carlos Sainz, also from Ferrari. You see by the times, the pretty tight race, and it was amazing see that race happening around the stadium and all the venues they created.

Now, let's explore problems and goals of this project. Let's start with the problems. So managing thousands of assets in this case is not easy, especially with a tight schedule like this. This type of construction managing, multiple super contractors and different levels of digital adoption, it's also challenging. As this project involves people from different countries, different time frames, and different time zones, it was very complex to manage all of them together. At the same time, managing all the equipment and the staff coming in from the Formula 1 and inspections from FIA and all other surrounding interactions with the Miami city.

So finally, providing constant progress of the track construction to managing stakeholders, it was also a problem because usually, they don't have any CAD skills, and they need to have a way to keep up with the project progress in a simple manner.

So the goals of this project was a way to interact our assets and make them integrated with the process. We're using Autodesk build, using a simple mobile app, mobile app for the field guides, and also managing issues. Sharing projects to a simple viewer was a deliverable.

They need to provide a feedback from whatever is happening throughout the construction days. And of course, we need to empower the engineers with the Civil 3D extensions and plugins to integrate with Autodesk build. So the reports that you can generate help them to track all the installation process, even internally or with their subcontractors.

So what were the existing technologies we have used? So for this project, of course, we use the Autodesk technologies. First of them is Autodesk Construction Cloud, also known as ACC, and their Autodesk Build Module that allows us to manage assets and issues. Civil3D, as their design software also needs to be integrated with the process using Autodesk Forge API, to both integrate Civil3D to ACC, but also, the mobile app to ACC as well in a way that we can reuse all the information in ACC and leverage all these other solutions.

But we also have our systems integration hub that are working together with Forge, allowed us to extend all the core functionalities, creating custom reports, accessing metadata, and provide really simple experience to the field teams. Our hub can integrate Forge with other systems like Salesforce, Excel, Google Maps, Dropbox, and any other system that does have an API. And that's where we can consolidate information coming from clients database or legacy systems to the process and make them all together in a cohesive way.

For this project, we used three of our services inside our systems integration hub. First one is the authentication service that provide us to use a unique log in, validating users from both Civil3D and mobile apps to ACC. Of course, we need to be compatible with the permission set and granting access inside ACC so each user is subjected to their access information inside ACC.

The viewing services that allow us to communicate with the portal and provide a viewing experience using ACC data, but also, using client's information. And finally, report services that allow us to create custom reports for the customer, clients, and subcontractors. By using these tools together, they were able to track the process, generate reports, in process accountability, responsibilities, and make everybody work a cohesive team.

So the solutions we created specifically for this project using these technologies were inside Civil3D first. We created a plugin. This plugin helped them to leverage the content of the track project. Of course, we need to sync this content with the expected assets inside ACC and use these blocks as the graphical representation of these assets. We did that thinking about how we are going to expose that in a viewer for managers and stakeholders.

Next part of this process, it's within Autodesk Build. We need to prepare the data to be in sync with those assets, so we need to determine the ideal categories for those assets, matching elements in the track design. So we have barriers, we have fences, we have tech pro barriers, we have big assets like bridges and stands. So everything needs to be mapped inside Autodesk Build in order to feed all the other elements like the mobile app and Civil3D plugin.

And of course, through our hub, we are able to compile all this information and format in a way it's friendly with all the other endpoints. Then we need to understand then the map how we would identify those assets in the track. Our idea is to use QR codes, and we did that. Of course, they need to be weather resistant. The track, it's an open air, so we need to be resistant to rain, hot sun, and all other elements that can damage those QR codes.

So we created a QR code standard in terms of how they match categories in ACC, and the process began with their installation, and also, at the same time, gluing those QR codes to the elements in the track, and they're using the mobile app to handle that. So after they install the assets, they used our mobile app created especially for this project, and they scan the QR code. The mobile app can then detect which category of asset, the type of assets for assets that repeat across the track, like barriers, for example. They have a sequential number that would allow them to identify them individually.

And of course, the UI, it's really simple. So workers using equipment and [INAUDIBLE] they can easily manipulate the software inside their mobile phones. And of course, we also plan to have this fully integrated with ACC-- same login, same security protocols-- to allow them to just change what they're allowed to do and what they're supposed to do in terms of workflows.

Further, inside this mobile app, we need to predict two types of assets. We have simple assets like barriers, fences, and these individual elements, but also, we have complex assets like bridges and stands. And for addressing these complex assets, that would take days to be fully installed. We created a checklist system also back ended by the Autodesk build, to allow workers to visit these assets on a daily basis and through a simple checklist to check the current status. And of course, all this information is going to be sent back to ACC.

As a final resource, we also implemented in the mobile app a manual entry because sometimes, the asset is too big and you can't find the QR code. So you can identify it visually, select the categories, and then select the element from the list.

Another final piece of this solution was a mobile viewer. It can be either desktop view through browser or in a mobile phone or an iPad. And this, of course, can be behind the customer website, where they can see the track, the progress and visually, just manipulate as a simple browsing experience and see via color-coded assets in the design coming from Civil3D, the current status of the assets.

So at any time from anywhere, they can visit this portal and see a color-code representation of each asset. And if they select them individually, they can even see the checklist status and how that asset is composed by its properties. Further, we also implemented a filter, so as you can see here in this image, you can just see the installed assets, assets with issues, and provide an easy way for anyone to quickly see what's happening to the track.

Further, we also add a report capability to this viewer, so they can use this tool to generate weekly reports and talk to their subcontractors and understand if they are reaching all the expected installation pace throughout the weeks and be able to even control payments for the subcontractors based on their performance. And these reports can be easily exported as Excel spreadsheets.

So there are some interesting discoveries throughout this project, something that we didn't expect at all. Let me show you a couple of them. First one was about the GPS precision. So we assumed that our mobile phones could do a great job identifying precise locations in the field, and using their native GPS, we start doing some tests. So for that, we create this grid with a 10-feet increment on each direction, and we ask the field guides to start visiting locations at the track construction site and start taking pictures and georeferencing those points.

While doing that, we understood that either the device hardware can make a difference, but also, the system can make also difference. So using both iOS and Android device with the multiple different devices, we collected results, as you can see on the image, on the below side of the right side. And then you can see that some of these identification points, they are not matching the blue rectangles that represent barriers.

So because of that, we drop the use of the GPS geolocation, and we start using the viewer to match, install the assets with ACC backend. And that worked, and we quickly improved the mobile viewer to be used in a mobile device. So they have the field guides using both the asset installation software, but also the viewer. So it worked quite well, and we are able to continue the project without any harm.

And the second interesting aspect is that we have this nominal dimension of the barriers, but the reality, once you install them, as you can see in this image, they have a little gap in between. That's a really small gap, so in around 13 feet bearer, you have a 0.07 gap, but that could be very important once you start stacking barriers. So in a long strait, and this track does have a big one, they start accumulating, and at the end, they had to install two additional barriers in the straight line because of this error accumulation.

So one thing we have learned is that the assets should be well-represented in the design time, matching the reality and not the nominal dimensions. So the mobile app, in this case, helped in one problem solving that we didn't expect, and we are very happy with that.

MAURICIO RITZMANN: Thank you, Fernando. What were the major results and benefits of this project? There were several, but we like to highlight these-- asset management with the multiple subcontractors; substantial time and cost reduction; quick response to last-minute change, inspection from FIA, for example; feed back to the manager and stakeholders; quick and easy rollout of updates, for example; reports to support project management and accountability; and centralized issue management.

FERNANDO MALARD: Thank you, Mauricio. We really hope you enjoyed this case study and it helped you to better understand the circuit design process, asset management, and how you can use Autodesk Build and Ofcdesk desk systems integration hub altogether through Forge API to leverage this solution and address a project like this, a mission critical project.

I really would like to thank you, and thank you, Mauricio, and thank you for watching this presentation.

MAURICIO RITZMANN: Thank you all.

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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

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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

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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。