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Data Exchange for Rhino: The New Light in Design Interoperability

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One of the major challenges in architecture—especially with the increased adoption of digital technology in the design process—is interoperability and coordination between design teams that often use software such as Rhino and production teams that use Revit software. In many cases, successfully achieving coordination between these two aspects of the design process requires specialization and complicated workflows. This session will show the benefits of using Autodesk Data Exchange for Rhino to assist in the greater interoperability between Rhino and Revit, leading to better coordination during the project lifecycle. We'll show how Data Exchange for Rhino significantly softens the traditional learning curve for design coordination, giving common users an easy-to-use software. Lastly, we'll highlight some of the other Data Exchange integrations for Grasshopper, Dynamo, and Autodesk Inventor software, and how they impact the design process.

主要学习内容

  • Discover Autodesk Data Exchange for Rhino and see the ease of use in software interoperability.
  • Get insight on the most optimal workflows for design exploration and coordination.
  • Hear industry discourse and opinions on software interoperability in the AECO industry.
  • Learn about lowering the learning threshold typically required for proper interoperability and coordination in design.

讲师

  • Geoffrey Tears 的头像
    Geoffrey Tears
    Geoffrey is a Senior Solutions Specialist at Symetri US (Formally Microdesk). In his time at Symetri US he has worked on many diverse projects and client engagements. Geoffrey has expertise in many realms including Architectural Design, BIM, Computational Design, Visualization, GIS, Sustainable Design and Analysis, and Building Lifecycle Analysis.
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    Transcript

    GEOFFREY TEARS: Good day, everyone. And welcome to my session. Whether you're live or watching this on demand later on, I appreciate you joining. And hopefully, you can learn something new. The session today is "Data Exchange for Rhino-- The New light in Design Interoperability." And it's going to be considered an industry talk.

    So we're going to talk about some high-level concepts and help the members understand how Autodesk platform services is helping with design interoperability between the likes of Grasshopper and Rhino, and Rhino 3D and Revit. My name is Geoffrey Tears. I am a Senior Solutions Consultant at Symetri. And we are an Autodesk Platinum Partner.

    In the AEC industry, there is often a fragmented approach to sharing project model information and data, which leads to inconsistent project coordination, overexposure of sensitive information, and unnecessary rework between project milestones. To address these challenges, there is a critical need for a user friendly and seamless model sharing tool, especially when project teams are using multiple softwares or software programs like Autodesk Revit and [INAUDIBLE] Rhino and others.

    Today, we're going to review some of the issues and complexities of software interoperability between these two software for project coordination and the design and architectural industry. Then, I will break down some typical workflows that designers and specialists use to achieve design interoperability between the two programs.

    Then, I'll introduce the Autodesk Data Exchange for Rhino and how the use of Autodesk Construction Cloud helps facilitate the sharing of data seamlessly. Then, we'll have a quick demo video of the exchange for Rhino, highlighting the speed and ease of use. Lastly, we'll share some potential workflows that will hopefully help to frame the importance and nuance of the Data Exchange platform as a whole.

    Some of the core learning objectives are to showcase the Autodesk Data Exchange for Rhino and its ease of use, provide insight on the most optimal workflows for design and exploration and coordination. And we'll facilitate industry discourse for those who are in the live session and opinions on software interoperability in the AECO. So hopefully, in the end, this helps project teams lower the learning threshold typically required for proper design interoperability and coordination in the design industry.

    All right, so there's a quick introduction. Again, my name is Geoffrey Tears. I am a AECO Senior Consultant, a Senior Solutions Consultant. I'm located in Houston, Texas. My education is a Bachelor of Fine Arts from the Savannah College of Art and Design, also known as SCAD, where I grew my passion for technology, digital fabrication, and of course architectural design.

    Some of my specializations include architectural design, master planning, computational design, digital fabrication, GIS, architectural visualization, net-zero and sustainable design, building performance analysis, and lifecycle carbon analysis. And there's many more that I can probably go off on.

    My experience is over 14 years. Before Symetri, I was a designer and project manager for a design build company. In addition to that, I've been in a Symetri for the last five years, also formerly known as Microdesk. And this is my third appearance at Autodesk, fourth if you include a metaverse version of me last year.

    And I work for Symetri. At Symetri, we are continuously expanding to provide even better leading-edge solutions and services to more markets. We are 1,000 employees, of which 600 consultants and 100 developers are employed.

    We are located in seven countries and 33 offices with over 400,000 daily users of our software in which we partner with. Since being founded in Sweden in 1989, Symetri has grown through 23 acquisitions and organic growth.

    We continuously challenge ourselves and our customers to work smarter. And we are proud of the values that we live by-- passion, courage, teamwork, change. We effectively work in the product design life cycle manufacturing industries, and the building and infrastructure industry.

    In addition to that, I'm a member of our co-innovation practice. It is our research and development wing at Symetri, in which we partner with researchers and organizations to develop new projects products, services, and processes within our industries. Our practice fuels innovation and growth by addressing industry needs, regulations, and operational resilience through digital delivery to ensure a successful adoption for you and the collective.

    So our first-- we're going to jump right into it. Our first section is going to be about the complexities and design interoperability. As mentioned before, as you all know, there is a great amount of software knowledge, coordination, and complexity even in the smallest design projects.

    When the average person looks at a building in person or in a rendering, they do not understand the hard work and stress that is involved along the way. Now, even more so, with the use of digital technology being standard in the AECO industry, the process of coordination remains as one of the greatest challenges in the project's lifecycle.

    Design at any scale is not a linear process. At times, yes, a process does flow in order. No matter what stage of a life cycle of a building, an engineer, designer, or architect, interior designer, and even facility managers will indefinitely have to deal with multiple data sources in order to execute the building's needs.

    At the feasibility and conceptual stage of a project, in which stakeholders need accurate site models and civil information to generate early designs based on real constraints, it is important that they have accurate information.

    From that, moving into the schematic design and design development's NCD phases, where the project truly takes form-- again, background data and information is heavily required throughout this process. Then, throughout the project, through the project as the project progresses into construction and construction administration, this is where contractors and fabricators play a key role in putting forth the vision and setting it into reality.

    Beyond that, with facilities managers, the maintenance and upkeep of a building and renovations that may happen in the future is also an important part of the process that requires a lot of data itself.

    Again to mention, design is not linear. So now, consider this. In the previous slide where we discussed some of those phases, this does not only-- as I mentioned, this does not only apply to the design and construction phase, but the operation and management side of the building's life cycle either for general maintenance, repair, or interior renovations, and tenant improvement projects.

    What this means is the need for a coordinated effort that requires accurate three-dimensional and informational data. In the past, this meant creating BIM and 3D models from outdated or inaccurate hand drawings and CAD drawings as well as as builds. Coordination of all software and data involved with an AECO project can be a daunting and confusing process. Oftentimes, it's just a mess.

    So again, when we look at this chart, the idea is to show that literally a project can be started from any point and does not follow a singular process. And it's helpful to understand how and why we use certain data at certain phases in a design's life cycle. Who is Pepe Silva? Don't fall down the rabbit hole is my greatest advice. Whether or not you are familiar with the American sitcom It's Always Sunny in Philadelphia, the picture is truly worth a thousand words.

    As anyone who has experience in design technology from the general user to the seasoned experts, we have all felt the way that Charlie does in this picture-- confused, lost, panicked, overwhelmed, and a little bit crazy when you have to try and explain exactly what you figured out and what needs to happen for us to address.

    Design interoperability-- all right, so what is design interoperability? We're going to break it down. The word "design" is a verb. And by Webster's dictionary, it is defined as, "to create, fashion, execute, or construct according to plan." Next, is interoperability. It's a noun.

    And it is defined, also by Webster's, as the, "ability of a system to work with or use the parts of equipment of another system." By defining each term, we better understand why this is such an essential subject in our industry. Each person and each process and each firm must work together to achieve the common goal. This means interoperability through the software or programs or processes that we actually use in order to get that building off the ground, literally.

    In our industry, from the architectural standpoint, at least, project responsibilities are often split and closely coordinated between two major sectors, design architects or designers, and architects of records or executive architects. Throughout a design project, project members will use several tools to convey the specific needs of the design.

    This could mean early conceptual studies for shading or room layouts. Or it could mean effectively showing construction details throughout the construction administration and construction documentation phase. Often for early conceptual design, Rhino, SketchUp, and FormIt are used for quick workflows and ease of use.

    Also, in addition, grasshopper inside of Rhinoceros and now, Autodesk Forma, are adding to that repertoire of tools that are going to require further coordination and interoperability. While Revit does have a powerful conceptual modeling interface, Revit is typically used for its BIM and documentation capabilities on many projects. This session is going to focus on the connection between Revit and Rhino.

    So Rhino is widely used for many industries. This includes industrial and product design, marine design, building design, and the list goes on. It does have a lower learning threshold than Revit does. But that is because it's not specific to the building industry.

    It also has the ability to create some highly complex geometries and the flexibility to edit those geometries almost seamlessly. Rhino is a nerves-based modeler that has the ability to import and export many, many different file types. This includes tooling options for digital fabrication such as 3D printing and CNC milling.

    On the other hand, we do have Revit. Now, specifically for-- it's primarily specifically used for the building industry. Revit is a building information modeling software, or BIM, which allows for relatively seamless 3D modeling, data collection, and documentation throughout a building project's lifecycle. It is primarily used, again, in the building design industry and is widely used amongst architects, MEP engineers, and structural engineers in order to get the job done.

    Revit's ability to manage the production and coordination project throughout its life cycle amongst the other tools provided by Autodesk, such as Navisworks, is what sets it apart as a leading BIM software. Now, one of the main issues that we have run into in the past is how do these two software actually converse with each other?

    Now, most of whom have used Revit or Rhino are familiar with the typical process of exporting and importing 3D geometry. While there are plenty of options, such as DWGs, OBJs, SATs, and STLs, as well as FBXs for import options-- oftentimes, they can lead to many results, as well. So there is not one real great method outlined for importing and exporting geometry from Revit into Rhino.

    In this example, we're just going to focus on three major ones. We're going to look at DWG, OBJs, and FBXs. As you can see, one model has led to three completely different options for what is delivered into Rhino from Revit. Again, depending on your firm and what the goal of this interoperability or this coordination is, you might use one tool over the other. Unfortunately, again, if someone is inexperienced in this process, it might be a daunting or confusing task for them to complete.

    And again, through those options or by doing this process with so many different options of importing and exporting, we can get many separate-- many separate types of what we're looking for. Now, again, as I mentioned in the past, Rhino has great capabilities when it comes to aggregating different types of geometry.

    So when it comes down to it, you do have-- those options from Revit can be utilized in Rhino, no matter what you actually send out. But again, there are different importing options for each file type.

    Again, just breaking down the different options that we have here, you can see, it would require a standard document as some type of firmwide standards document or an understanding of the project expectations at that current milestone in order to effectively share or connect between these two software, oftentime leading to more time involved with model cleanup or downloading of models and sharing over time.

    Again, time equals money. With a lot of time wasted on specialists having to do these tasks, oftentimes architecture firms will try-- or firms will try to put band-aids on this work in order to try and get it to work.

    Now, in recent years, there has been some better options for working from Rhino to Revit. As you can see in the dropdown, this is a load-in screen for Revit. Again, Revit does have the ability to bring in different file types. Again, it has been expanded out to Rhino files, native Rhino files, and SketchUp files, which is great.

    Now, there are some benefits and some cons to this, mainly in the fact that Rhino files cannot be categorized as a specific category. So as in this facade panel, I would want that to be categorized under curtain walls. Unfortunately, it would be left as a link.

    And this is how-- and this further explains that situation. So as you can see, it is considered an import symbol and cannot be actually categorized or scheduled in. For the specialists, there is the computational designer's dream, which is Rhino Inside, which uses Grasshopper in order to facilitate seamless sharing between Rhino and Grasshopper geometry into Revit.

    With Rhino Inside and Dynamo, you have the capabilities to write parameters, materials, all sorts of functionality to your geometry that is incoming. But again, this does require a lot of work and a lot of understanding of computational design through a visual scripting language, such as Grasshopper. As you can see, the work that it takes to get there can be quite complex and would require some specialized knowledge in order to achieve true interoperability.

    So on we move to Data Exchange for Rhino. Why? Well, in our industry, communication is the goal. When it comes to communication, the common and data environment is a term that is being widely used in our industry, especially with the advent of the Autodesk Construction Cloud and Autodesk Docs.

    Now, by taking advantage of the computational power of the cloud and Autodesk Construction Cloud with Autodesk Docs by the concept of a common data environment or one location where we can pull data from is made possible. In addition to that, with Autodesk Platform Services, formerly known as Autodesk Forge, their API integrations allow for the ability to interface with third-party software such as Rhino or Grasshopper and make seamless software interoperability exponentially more achievable by connecting it through our cloud interfaces.

    And again, Autodesk Construction Cloud is what enables this workflow. So the process that we'll show here in a moment is taking essentially a base model from Revit and sending that model out for further development inside of Rhino and Grasshopper. So by utilizing the Data Exchange, which is an extension that lives in both Rhino and Revit, what we do is save the Data Exchange file to our BIM or our ACC project in a specific folder.

    And from that, any user from either software can actually access that software within-- or that project within the cloud online through the Autodesk Platinum Services Viewer and then also pass through all of that information, including parameter data, into Rhino for further development. Again, depending on what-- or to make mention, depending on the complexity of the incoming Revit model, we'll extend the upload and download time.

    Now, the benefits of this is any changes once this is connected can be updated within an instant by utilizing the Autodesk Platform Services and Autodesk Construction Cloud. Instead of project members having to download, share, and re-import models, these models can be overlaid within each other through this setup.

    And in this session, we're going to speak of the ease of use of the product. So it's quick and easy. With the extension uploaded and installed onto your Revit platform, we'll go to Data Exchange. And we're able to load or create our data exchanges. So from here, what we can do is find the location of the Data Exchange itself and then program it to be what it needs to be.

    And once we find that, we can actually take and send that Data Exchange out to our cloud-based services. And as you can see, we can view this online through Autodesk Docs. And it has all the geometry that I decided to send out for that project, including massing curtain panels, topography, and so on, and so forth.

    Now, within the Rhino environment, what we can do is we do have the option to open a template for the Rhino connector. Now, this template includes all of the typical building design layers that are associated with Revit categories. So when we actually bring our project over, any of those model elements will be assigned directly to its proper category for visualization and cutting on and off.

    Again, same process. We go and find that base model. And we are able to, again, preview it, make sure it's all good to go-- and then, from that, load it in. As I mentioned before, this was a little bit sped up. So it does take a little bit for a model this complex to come in. But again, once it comes in, you'll get the option to actually select any of the parameters that are in your project that you still have to [INAUDIBLE] that you would like to choose.

    And then, from that, you have the ability-- just like any other Rhino model-- to cut model data on and off and explore and redevelop your project as needed.

    Next is coming from-- whoops, [INAUDIBLE]. Next is coming from Rhino to Revit. Similarly to the Revit-to-Rhino process, opening the extension for Data Exchange and simply creating a new Data Exchange in the specific file location on Autodesk Docs allows you to send that geometric data and information, if you've written a blog, to ACC for further development in Revit.

    Now, you do have the option to select by layer everything in view or specific selections. It is completely up to you. So it adds to the flexibility of what is actually being coordinated instead of sending over whole models. And again, since the base model is coordinated with the design facade model, this means that this object will always pop into its correct place.

    Now, over in Revit, again, as simple as going through and finding that Data Exchange on our project list, finding the location of that Data Exchange, and then simply loading that new Data Exchange to our project. We can preview it.

    As we can see, that little facade is coming in. It is a little broken in this image, but it's all good. That'll just come into place. So once I click Load, it does take a minute, since this was a pretty complex geometry. But once it is loaded in there, it is good to go. So again, from that, if our design team in Rhino had decided to change up our model or the project has progressed and it needs to get more detailed, that model is forever coordinated between the design team and the production team as they move through their project process.

    Next, we'll break down some potential workflows, just to help grasp the future, in which I see is very bright when it comes to design interoperability. Our first and foremost is that the Data Exchange is expanding. At the time of this recording, Data Exchange is for Dynamo, Grasshopper, Inventor, Civil 3D, Tekla Structural Analysis software, and AutoCAD have been produced amongst others.

    So again, as the ecosystem grows, more opportunity for pure seamless interoperability between all these different sectors is going to be made possible. In response to, especially the building sector specifically, this could have effects on project feasibility, design and documentation, construction administration, digital fabrication-- as we see more 3D printing and CNC prefabricated buildings being erected-- building performance analysis, life cycle carbon analysis, as well as integrating with GIS systems.

    One of my favorite options that this begins to allow for is the connection between Autodesk Forma and its site modeling capabilities and its seamless integration with Revit in order to create site models quickly and effectively. And they are also georeferenced for, again, future development in other software such as Civil 3D or Infraworks. From that, we can send that coordinated model that will be used throughout our project's life cycle over to Rhino for further design development and, again, back and forth using that loophole.

    Another great option, again, between that Revit and Rhino ecosystem and Forma is site and building performance analysis. From the macro side, utilizing Forma to Revit to Rhino allow for me to do some macro incident irradiance studies on an entire urban block. But also, from the macro standpoint, I'm able to look at sun and shadow studies from the standpoint of an individual building, if not a floor.

    Digital fabrication-- with the advent of the Revit and Autodesk Inventor connector, digital fabrication from Revit models or Revit architectural and structural models straight to the actual production floor can be made possible. In addition, this will hopefully allow for seamless connectivity through the idea of digital twins.

    Lastly, from the civil engineering standpoint, again, the macro standpoint, with data exchanges, we can actually send entire road systems into Revit for further development of road infrastructure or for site development for architects and engineers, something that has been an issue in the past when it comes to coordination and interoperability between these two very advanced software.

    So why Data Exchange? Single source of truth is probably the main key for me. With Autodesk Docs, project teams have a single source of truth for project data and model information, fostering an industry-wide coordination. Reduced rework-- as we have mentioned in the past, the Autodesk Data Exchange is integrated with Autodesk Docs.

    Plus it is easy to use. This significantly lowers that learning threshold and results in a higher return on investment for design firms as they carry out their daily tasks, particularly in coordination efforts, which many of the times did require rework in order to work with the two separate software.

    Moreover, it's a seamless transfer of geometry and metadata. We can significantly reduce that information loss. And that better interoperability creates more opportunities for the AECO and manufacturing industries to explore and address and resolve critical issues such as net-zero and sustainable design, urban design, sustainable manufacturing, amongst others. By providing an intuitive platform for sharing essential project data with project stakeholders, design teams will be able to allocate their time, more effectively making impactful design decisions.

    If there are any questions, please connect with us at Symetri. We will be at the expo for those at the actual event. Or find us online at symetrigroup.com. Thank y'all.

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    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

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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。