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Enhancing AutoCAD Plant 3D: How Autodesk's Custom Plug-in Transformed Artelia's Design Process

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说明

French engineering firm Artelia faced a challenge in generating secondary supports assembly drawings from AutoCAD Plant 3D software. The default AutoCAD Plant 3D settings were time consuming, and the competitor's solution was costly. Autodesk Consulting developed a new AutoCAD Plant 3D plug-in, leading to a 75% time reduction across Artelia projects, potentially saving approximately 208 days in the first year alone. The plug-in offers a variety of features. It automatically generates orientations and position views in a drawing, which streamlines the design process. It includes auto-annotation of views, making documentation more efficient. The addition of a bill of materials (BOM) and a new graphical user interface further improves user friendliness and functionality. The solution currently works with secondary supports and is beneficial for all AutoCAD Plant 3D users who use orthographic drawings. It can potentially be scaled up to include support for all objects and drawings, and for drawings with auto-dimensioning capabilities.

主要学习内容

  • Learn how to create an Autodesk Plant 3D plug-in.
  • Learn how to evaluate the business ROI of a custom development potentially applicable to other use cases.
  • Discover how to expand the potential of the plug-in to support other capabilities.

讲师

  • Ludovic Fournier 的头像
    Ludovic Fournier
    I am a 15 years technical consultant with a background in structural engineering. Involved in international consultancy projects. I am in charge to analyse and develop workflow, training program and technical documentation arround Autodesk solutions.
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    Transcript

    STEPHANE BOUN: Everyone, thank you all for attending this class. I'm very happy to be presenting a custom plugin that we developed for AutoCAD Plant3D here at Artelia and with the help of Autodesk consultants. The idea of this presentation is to show you the specifics of this custom plugin and how it fits in the general strategy of Artelia regarding digital transformation and the deployment of BIM processes.

    So we're going to go through our need, the plugin itself, its benefits, and then open with some next step ideas. So I'm Stephane Boun, head of the BIM Department at Artelia Building, France. I joined the company in 2012 after various experiences in the construction industry as a project planning-- project planner, sorry-- study coordinator, project manager, and many other tasks.

    And I am now a member of the Artelia Digital Twin and BIM team, which contributes to defining the strategy regarding BIM and digital transformation, And I will let Ludovic, which will go present this class with me, introduce himself.

    LUDOVIC FOURNIER: Thanks, Stephane. So my name is Ludovic Fournier. I'm an Implementation Consultant at Autodesk since more than 16 years now. And during my 16 years in Autodesk, I work with many different customers, meet lots of challenges. And my role in Autodesk is really to help customers to optimize the use of our tools and meet the different outcomes. Back to you, Stephane.

    STEPHANE BOUN: So I want to give credit to the team that worked on this development. Both at Autodesk and from the Artelia side, the project was done with the participation of the industry and business unit of Artelia, and more specifically with the help of Serge Morel, Fabien Bessieres, and Matthieu Lorman.

    LUDOVIC FOURNIER: And on the Autodesk side, let me introduce our international team for this project. So we have Areti, the Customer Success Manager, based in Switzerland, Roberta Chianese as Project Manager. She is based in a Barcelona office in Spain. And Gungadhar Gupta and Rahul Muralidharan for the Plant 3D and AutoCAD API part. And they come-- both from India.

    STEPHANE BOUN: OK, so just a few words about Artelia as a company. Artelia is an independent, multidisciplinary engineering and project management company. And those words are very important to us. Independent first, as the entirety of the capital of the company is held by its managers and employees. Multidisciplinary then, because we work on five main markets, which are mobility, water, energy, buildings, and, obviously, as we will discuss, through the plugin industry.

    We are currently approaching 9,000 employees and are proud to consider ourselves an international company operating in over 40 countries. The company was founded in France, and is in our home country, still a major part of our activity. But in 2023, we reached a turning point for the company where we have now more staff outside of France than in our own country.

    The Artelia group is organized in 10 business units, being a mix of the markets we address and their geographical location. So our mission is to contribute to projects through their entire life cycle from consultancy in the early stages of feasibility to design and engineering, to project management of construction, and asset and facility management. We can also provide turnkey solutions.

    So let's talk a bit more about our journey in BIM. Well, this journey for us started in 2009 with our first project modeled in BIM. And then in 2013, we created our first working group about BIM, aiming at the time to share methods and more specifically, to organize training for staff. It's been a strong belief since those days that the deployment of those new tools and those new software and methods should be very inclusive, accepted, and adopted by everyone.

    In 2014, as we felt that we reached a fair level of maturity, we had our first project as being managers. And in late 2015, we signed our first Autodesk EPA and soon after deployed the Artelia BIM toolbox, which is a platform to share tools and methods. And we developed our first Revit plugins.

    In 2022, we created the digital twin and BIM team, which is a group-level working group where we discuss our strategy, share modeling standards, methods, and automation, and data management tools.

    So as you heard, I mentioned the word sharing a lot in this slide. And it is a strong belief that the digital transformation should not only be about a few experts within the company, but adopted by everyone. So in that journey, we're not alone. And Autodesk has been a partner for a long time. And Ludovic will tell you more about this partnership.

    LUDOVIC FOURNIER: Thanks, Stephane. So this timeline represents the strategic partnership between Artelia and Autodesk, focusing on operational efficiency and innovation. So the collaboration journey began in 2015 and extends to 2024. And I hope, last time. It was marked by key milestone known as a enterprise business agreement. It's a specific contract we have with Artelia.

    And during this, the first EBA, we talk about the design, standardization, and BIM implementation, laying the groundwork for Artelia's digital transformation and design management. In the second EBA, it is where design optimization and quality take center stage, signifying the maturation of process and the pursuit of excellence in project outcome.

    The first phase of the [INAUDIBLE] office's design automation and improve collaboration, showcasing advanced integration of Autodesk's tools to streamline workflow and enhance team synergy. So as you can see in this timeline, the traditional EBA at each phase,

    Artelia was able to present something to Autodesk University, like a topic around BIM operation and maintenance, the use of-- for me, Dynamo, also the design and optimization and quality.

    And last year, [INAUDIBLE] run the design process and the CO2 footprint. And today we are here to present this custom tools we made with Artelia on Plant3D.

    STEPHANE BOUN: That's good. Like we just told, Artelia is now thinking and working on the benefits of this digital transformation. And one of our main subjects is automation in our workflows.

    For the past couple of years, the community is talking about digital twin and generative design. And, obviously, for this last year, many of us are discussing AI. And all those buzzwords for us are real subjects that need to be considered. But I think that compared to other industries, the AEC industry has a lot to do to transition to a digital era. And in order to be inclusive, we have to demonstrate the benefits of those new tools.

    So we need to work on efficient tools that address specific issues. That is why we don't want to think about it in terms of, how can I bring AI in my workflow? But instead, we work on analyzing our workflows and try to identify tasks that can be automatized following simple criteria. We are looking for tasks that are repetitive and time consuming.

    And I think everyone can relate if I tell you that more often than I would like, the deliverables numbering of a file has to be modified. And we struggle having to open numerous documents and typing new numbers, so those kind of tasks, the tasks that follows simple rules, whether they are regulation or simple physics. And those can easily be explained by our engineers.

    We have experienced a few failures trying to develop custom tools in the past with software developers, just because we were unable to precisely define the need. So look for tasks with low added value. And I mean by that, too often, we have to mobilize staff for tasks that doesn't require their specific skills. So it feels that we do not benefit from the full potential of our staff. And, obviously, we aim for tasks that lacks tools.

    Well, the AutoCAD Plant 3D plugin that we want to show you is a good illustration of those kinds of tasks. So this tool is a requirement that was expressed by Artelia Industry Business unit. And Artelia Industry contributes to a wide range of industrial facility projects, goes from petrochemicals to pharmaceutical and nuclear plants, for example.

    And all those different kinds of facilities have something in common. It's pipes. There's lots and a lot of pipes. And those pipes need supporting. And actually we need to design those supports. So the purpose of the plugin was to help us design a more efficient way those supports-- and this is what Ludovic is going to explain to you in more details.

    LUDOVIC FOURNIER: Thanks, Stephane. So the topic of the plugin is to be able to create 2D drawings for auxiliary support. An auxiliary support, this is what will support one or more pipe brackets to the steel frame, the flow on the other walls.

    And why to automatize this kind of drawings? During the life of a project, the supports evolve a lot, requiring time to update the plans and to keep different stakeholders for the project up to date, according to this drawing.

    And as you can see here, Artelia gives us some figures regarding number of project periods, the number of support by project, the time to create one support for the project and at the end, the total time for one project. So, according to this, Artelia contacted Autodesk Consulting to check what could be done and how to improve these figures.

    So if you are familiar with Plant 3D, you know that there are no tools in Plant 3D to automatically produce this kind of drawings. And today, even if for some project, Artelia can choose the product to use, if the number of supports is to high, the project will not be managed in Plant 3D.

    Artelia's the tool to produce this kind of drawing on another software. But it brings some additional constraints. Therefore, the request was to explore how and if it could be done in AutoCAD Plant 3D. And we will see that it will be a plugin.

    So to begin, we divide the process in four main phases. So the specification, maybe-- or not maybe-- this is the most important one to clarify the needs.

    This is really the key phase where Artelia designer and Autodesk developer must be aligned on all capacities of the tool, and clearly identify or define a MVP, Minimum Viable Product, because if we failed here, the plugin will not fit to end user and can be never used.

    Once done, then, we explore different solution, workflows with out-of-box capabilities first. If we can involve advanced [INAUDIBLE], if we can use Python script to create these kind of secondary support. And the conclusion was to create custom tools to use only Plant 3D.

    After this, we go to the second phase of the project. It was the most challenging one, first, technically, as it never been done before. And, secondly, due to unpredictable events, or was ready to start. And the people in consulting in charge of the development, left.

    And finding someone with expertise in mastering Autodesk Plant 3D APIs inside Autodesk is possible, but manager availability on a short notice is more challenging.

    So we checked across Autodesk community. We can help and critique with a [INAUDIBLE] software, raise the end. And we bring them into the boat for this second step, and many thanks to them. Once we checked, it's technically feasible.

    We switch to the third phase to create the plugin. And during this question of plugin, of course, there is always some iteration between testing and update. And at the end of this phase of plugin creation, Artelia testing the plugin on the real project. And in a second phase, the request of some additional days to make some announcement to this plugin.

    That was 3D blocks. So the user can create 3D blocks of the secondary support. So it could be managed with Plant3D structural component, 3D solids. And all these blocks of support could be shared on a library. So many users can use the same library.

    In parallel of the 3D blocks, you have an XML file that contains information regarding the supports. It will allow to create the bill of material in your drawings. And also you can manage which dimension the tools need to calculate. We will see this dimension question in the next slide.

    So, of course, to produce a drawing, you need a template with the view needed, as some support may be a request for view, reviews, just to view. And it will really depend on the type of support. And, of course, you need a title block to for your drawing.

    So to manage this, you will have to create an orthographic drawing as a standard orthographic drawing in Plant3D, and also define this orthographic drawing. It will become your template to produce many drawings of your many supports in your project. And the template could be also shared across your Artelia team.

    Just for the 3D modeling files, first, the user will have to choose the needed support from the library. Then you can explode this block and adapt the [INAUDIBLE] length, as you can see, actually, in the movie.

    And you can easily create a library of blocks by using the out-of-box AutoCAD tools, The blocks library. And you can share this library across your network or across ACC, if you use ACC. Next slide, please.

    Once the support is good, the 3D part of the support is good, the user will use a custom user interface to convert the support as a real Plant3D object. So for this, you can select a base point, the type of the support. Define the local orientation because, as you know, on the project, support are not always parallel to X or Y-axis.

    You can also manage the view range around the support. The view range is the Plant 3D auto cube size around the support. You can change it if you need to manage your display to display other elements around your support.

    We can also indicate a reference point for the coordinates. And we'll see in this coordinate, the output sample. So once you make all these steps, the plot for your support is ready for a next step.

    So just to summarize the 3D part of this, first, you pick a block from your library. You explode this block to change the line for future among there. And then you have to convert it as a Plant 3D support by a custom interface.

    To produce the drawing, though, so as I mentioned, the user can select a template according to the support you need to produce. You can select a specific output folder. And, of course, you can select the support you want to print. You can select all, or just select a list, or use the chart tools to filter with, for example, block them.

    And with the tool you can expect the result you have on the right part of the slide, where you can see the different label to identify the different parts of your support.

    And then you have all this label in the bill of material in the top right of your drawings. And you can see also the coordinates. The two drawings indicate the coordinates of the support.

    So some words about the benefits, so regarding the tool capabilities, you can manage different templates according to support specific. You can automatically generate views. It's really where the user saves time. You can have also automatic annotation and the material list automatically produced.

    So after testing this plugin on a real project, Artelia came back to us with some matrix. So basically, it takes 75% less time to produce the different support drawings on the project.

    So before I take four hours to produce support drawings, now it takes only one hour at doing all the project life.

    And you can easily change or calculate the number of hours you can-- Artelia can save on an average project. And this automatic orthographic drawing engine we create can be used for other use cases for in Plant 3D. Over to you, Stephane.

    STEPHANE BOUN: So yeah, Ludovic just mentioned the technical and productivity benefits from producing this tool. And our teams are very happy with it.

    I think I also need to emphasize on the benefits for the company, as in how this specific example of development and tool is a good way to demonstrate the efficiency and how this investment in development was beneficial for us, not only as in the productivity aspect, but also in how it helps us understand better how we can work on developing custom tools and how those tools can be beneficial.

    And then, I think it was interesting for us because a few years before this project, we worked on the development of some custom plugins for Revit on another market. It was the building area. And actually, it turns out that those plugins were are not used by our engineers because in the end, the tool is not doing properly what the engineers are expecting.

    And it turns out after trying to understand why one of the development didn't work and why this one was efficient, that one of the main aspects was, that for our team, it was kind of difficult to explain their needs and to break down the task they were doing in a BPM format.

    So it might seem odd, but for our engineers, it might seem obvious to them that they have to do some specific studies. But it turns out that it's a bit difficult for them to try to put this on paper and try to explain step-by-step how it is done, what kind of regulation it has to comply to, and the different inputs you need to have.

    And the work that Ludovic and the Autodesk consultancy team did with our engineers was a good way to learn how a construction engineer and a software developer can communicate with each other to explain the need to put it down in an understandable format for both persons.

    And we learned a lot through this experience. And we could then convince our engineers that the investment in time they were putting into this work is beneficial in the end, even though it couldn't justify postponing deadlines on specific projects.

    At the time, it was very difficult for them to understand that they had to spend time on this project instead of working on the industrial product that we're working on. And so we convinced them that, at the end, it was beneficial for them. We also convinced the management that this investment was beneficial. And we can now justify it with some metrics, as Ludovic just mentioned.

    And also it's beneficial for the entire group, as in the strategy of development of automation tools. It's a good way to demonstrate how it can be beneficial to everyone.

    So I think that other entities outside of the scope of Artelia Industry can understand why they should invest some time into analyzing their workflows and trying to figure out which are the right task to automate and how we can work with consultants as Ludovic, as software developers.

    So we wanted to conclude this class with a few ideas of our next steps. And, well, as I said, this kind of development or major productivity improvement-- and convinced our team of the benefit of those new tools. So we are continuing to explore and analyze our different workflows throughout the different markets.

    We address seeking for new aspects of our engineering processes that would benefit from automation. And there are still many, many things to tell.

    LUDOVIC FOURNIER: And regarding this automation, automation is a broad topic encompassing many facets of modern industry.

    And at Autodesk Consulting, our role is to assist Artelia, or our customer, both, technically and strategically in the development and the implementation of this kind of system development we can create.

    STEPHANE BOUN: So now we believe that the data we produce needs to be put to better use to provide new services for our customers.

    So we decided to rebuild our modeling standards to work, and also to work towards a data storage and access platform, centralizing data from models created anywhere in the group.

    And as you know, Autodesk cloud tools are evolving rapidly, constantly, introducing new capabilities. And once again, Autodesk Consulting is here to support Artelia in navigating these emerging technologies such as the data connectors, as we just discussed, yeah.

    And then, ultimately, we think that improving our software development knowledge and having strong standards and efficient data management will be the pillars to more complex digital transformation. So, hopefully, we will soon discuss with our [INAUDIBLE] partners of AI applications in our processes. And so thank you all for your attention and I hope we'll see you very soon.

    ______
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    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。