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2D Record Drawings to Asset-Rich BIM Model in Autodesk Tandem

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说明

This session will explore how Hazen and Sawyer pilot tested Autodesk Tandem software with Aurora Water in Colorado throughout the last year. Aurora Water's goal was to convert a portion of an existing facility from 2D record drawings to an asset-rich 3D model in Autodesk Tandem. Aurora Water also wanted QR codes/RFID tags placed on the assets in the facility to allow operations and maintenance staff to access various electronic information about the assets while on site. Autodesk Tandem would contain the 3D model with asset information, links to O&M manuals, and links to information contained in QR codes/RFID tags.

主要学习内容

  • Learn how to create a workflow to convert existing facilities to an asset-ready intelligent model.
  • Discover how to add asset parameters into an intelligent model.
  • Discover how to add additional information to model elements in Autodesk Tandem.
  • Explore whether Autodesk Tandem was able to server the client's purpose as a viable facility management platform.

讲师

  • Scott Hakonson
    Scott Hakonson is the BIM manager for Hazen and Sawyer. Scott leads a team that is responsible for the development and maintenance of company BIM content as well as training and standards documentation. With over 24 years of experience in the AEC industry, Scott has worked in several disciplines, and has over 10 years of BIM experience with a focus on process mechanical design.
  • Will Marinos
    I have been working in the AEC industry for 20+ years. I have a diverse design background and have spent most of my career managing various CAD and BIM software, and Document Management Systems. Currently, I am the Director of Design Technologies at Hazen and Sawyer. The Design Technology (DT) team is responsible for System Administration, Software and License Management, Training, Support, R&D, and Innovation related to all CAD/BIM and GIS products.
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Transcript

SCOTT HAKONSON: Hello, and welcome to our presentation on creating an asset-rich BIM model from 2D record drawings and point cloud data in Autodesk Tandem. First, I'd like to introduce myself, my co-presenter, the company we represent, and our client. Starting with me, my name is Scott Hakonson. I am Hazen and Sawyer as corporate BIM manager.

I work with our regional leads and other internal staff to ensure that we are all utilizing the correct BIM standards, workflows, and best practices. I am also responsible for training across the company and leveling workload, or trying to level workload as best we can. In addition, I work with both internal and external stakeholders to develop workflows with emerging technologies to bring Hazen and Sawyer's BIM capabilities to the next level and allow us to provide a more data-centric deliverable to our clients.

I have been in the AEC industry for over 20 years. 15 of those years have been utilizing BIM software. This will be my fifth time attending AU, and my first time as a presenter.

WILL MARINOS: My name is Will Marinos. I'm currently director of design technologies at Hazen and Sawyer. Our design technologies team manages, maintains, supports, trains the entire run of services internally for all of our Autodesk products, both Design Innovyse, now Unifi, VR, just everything Autodesk, as well as ESRI for all of our GIS products. So we handle all of those products.

I've been doing this in the AEC industry from Design through what I do now for 20-plus years. 15 of those, the last 15 of those, have been managing software and systems. And this is also my fifth time attending AU. This is my second time speaking.

SCOTT HAKONSON: So first, a little about the company that Will and I work for. Hazen and Sawyer is a-- excuse me. Hazen and Sawyer has been involved in all things water in the AEC industry since 1951. We have over 70 offices across the country, with over 1,700 professionals.

As I mentioned, Hazen and Sawyer is all things water. This includes stormwater, water resources, conveyance, CSO systems, water and wastewater treatment, as well as water reuse and bioenergy work. We also strive to be a forward-thinking company and utilize the latest advancements in software and technology to deliver the best quality product we can to our clients.

A little background on our client, Aurora Water. Aurora Water is one of the largest water producers in the Denver metro area. They have three water purification facilities, those being Wemlinger, Griswold, and Binney.

Like many municipalities, they manage assets across those three facilities and all their buried infrastructure. And one of the things that they wanted to do was develop a better way to manage their vertical assets. This is when they put out an RFP for that service and selected a small-ish filter gallery at their Wemlinger water purification facility.

A little background on the project. The goals of the project, as I mentioned, Aurora Water wanted to be able to track their vertical assets in an intuitive platform. The term "digital twin" is a bit overused in this day and age, but that is, in effect, what they wanted. They wanted to be able to utilize a digital twin to manage and view their vertical asset data.

Aurora Water at this point only had 2D record drawings of their facilities, most of those being CAD based. Again, they selected a filter gallery in their Wemlinger plant as a pilot. This is a proof of concept for their goals as a whole-- as an organization as a whole-- to get their assets into a platform where they can be viewed and manipulated in an intuitive way.

Hazen was responsible for the development of that digital twin and the implementation of asset data in that digital twin. And ultimately, we were also responsible for selecting a platform to deliver that content to the client. A little bit about the project. When Hazen and Sawyer was selected, we decided that we needed to develop BIM standards in content. The reason being, we needed to ensure that internally we could produce a consistent deliverable for our content for our client, and that required developing written BIM standards and a template.

After creating the standards, we went on to modeling the existing facilities from a combination of laser scans and record drawings. And then we created facilities, and we'll get more on that-- we'll have more information on that later. We created facilities in Autodesk Tandem, and then collected those facilities-- in other words, digital twins-- within Autodesk Tandem to Aurora Water's asset and O&M data. We then handed off the BIM model and the digital the digital facility model to Aurora Water.

As I mentioned, we started by producing BIM standards. The BIM standards were written in a way to provide enough direction to get Aurora Water a consistent deliverable, a consistent BIM deliverable. This is apart from drawing generation. These guidelines are exclusive to the production of a BIM-based digital twin.

In that light, we wrote the document to not restrict workflows, both for ourselves and for any other consultants that Aurora Water would work with. This allows them to have a consistent BIM model that they can use for their digital twin purposes without necessarily forcing consultants to work within a workflow they're not familiar with. We also created a template for this use that was developed along the same lines. It is relatively light on content. It only contains the content that is necessary to develop the digital twin that we were working on for Aurora Water.

Apart from the guidelines and the template, we developed a BIM execution plan for them because they didn't have one. Everybody should know the importance of a BIM ex, but this particular one focused on specifying that Aurora Water's BIM guidelines were to be used, the project was to be geolocated, and it also specified what platforms would be used for both Revit and the document management system on any given project. Next, we'll get on to the actual development of the model.

Laser scans were provided by a company called TruePoint. Hazen and Sawyer also employed TruePoint to develop the preliminary BIM model from the laser scan and record drawing data that they had collected. All Revit models were created and maintained in ACC. Reason being, ACC allowed TruePoint, Hazen and Sawyer, and Aurora Water to all view the same models in the cloud. All elements within the models were modeled to an LOD of 300. There's no need to get beyond that LOD for these purposes. Any other detail that was put into that would just make navigating the model more cumbersome. All assets within the model were modeled per raw water's asset hierarchy. And I'll get more on that on our next slide.

After TruePoint finished with their preliminary modeling of the facility, Hazen and Sawyer went through and verified model accuracy just to make sure that everything in there was accurate to the real-world conditions and to industry standards. Hazen and Sawyer also modeled additional components that were not captured by the laser scan and the subsequent conversion. The laser scanners could only scan what they had access to and what was visible within the plant without taking things offline. In this particular case, a wet well, pump wet well, was not accessible. And therefore, any equipment inside of that wet well was not captured in the laser scan and/or the subsequent model.

Hazen and Sawyer also geolocated the model. And by that, we mean that we set up shared coordinates based on the Colorado State Planning Coordinate System. I mentioned earlier that models were produced with Aurora Water's asset hierarchy in mind. Do you see the pump here on the left? That is actually-- typically, for a design model, that would be modeled as one object. In this particular case, there are two maintainable assets that are associated with that pump, one being the pump, the other being the motor. So we had to model those as separate objects.

All models are then published to ACC. It's important to note that they are published ACC because published models are what are visible through ACC to Autodesk Tandem. Next, we're on to Autodesk Tandem and how that really helped us bring the BIM to life.

First, a quick overview on Autodesk Tandem for those not familiar. Autodesk Tandem is a digital twin platform, Autodesk digital twin platform, that allows-- well, I guess the question that it would answer is, what does it provide to our client? One, it's an intuitive way to view a model. It allows non-Revit users to view and interact with BIM data.

It also provides better data management tools than are available within Revit. It further allows for the connection of outside data sources to a digital twin. And it connects the digital twin to real-world data. It also allows for the creation of powerful dashboarding tools, and we'll get onto those in our next slides.

So the first thing we need to do was connect our asset management data to the BIM digital twin we had created. That started by creating a facility view within Tandem by connecting the BIM model from ACC to Tandem. As I mentioned, only published models are visible to Tandem, not working models. An important thing for everybody to understand. We then exported data from the imported BIM facility, or BIM model, to Excel to manipulate the data and then bring back into Tandem. This allowed us to engage with Aurora Water's asset management team to populate and manipulate the data.

One of the great benefits of Tandem is the ability to create very customized views of facilities. The view you see here is a view of the filter gallery with all of the maintainable assets color coded by consequence of failure. And one of the great things is that it's not limited to just the traditional view that you'd see in many viewers here.

As I mentioned, all of the assets are color coded by consequence of failure. But what Tandem does is it allows you to group things by that consequence of failure. You can create views with all these set up. And what this actually brings to you is the ability to click on a maintainable asset within the model and see both the BIM data and the asset data that was added in Tandem. A very powerful view that really opens up the possibilities of a digital twin.

Another thing that we were able to do with the Tandem model was connect that to an external data source. In this case, O&M data. So again we created a view specifically for this purpose. You can see in this view that the motor of the vertical turbine pump is selected. And as you see, we again can see the relevant data of that motor, but we also were able to create an external link via HTML-- via the web-- to Aurora Water's SharePoint site, which contained all of their O&M data.

And if I click on that, I do indeed get access to their SharePoint site. But we don't have access to the data itself, so that's what we get. But it is a successful linking of a BIM object to the O&M data. With that, I'm going to hand it over to Will to present on our Autodesk Tandem workflows and next steps.

WILL MARINOS: Thank you, Scott. Get control of the clicker real quick. So yeah, I'm going to spend a little bit of time. We'll talk through-- touch a little bit more on the workflows that Scott mentioned, and I'll spend a little bit of time talking about what else we're doing with Tandem beyond the Aurora project.

OK, so as was mentioned, we utilize the Excel link between Tandem-- or the link between Tandem and Excel to manipulate the BIM data and add to it for Aurora. So the benefits, as Scott mentioned, is just that being able to take that BIM data into Tandem, and then from Tandem export to Excel, allows us to take the burden of managing manipulating and updating that data off of our designers. We can then engage our asset management team because they can do the work directly in Excel. And everyone's familiar with how easy and simplified it is to manipulate data in Excel.

On screen is a quick screenshot of the actual-- excuse me, Tandem ribbon within Excel, specifically linked to the Wemlinger project for Aurora. And again, that is how we went through and manipulated it and uploaded much of the secondary level of data, that O&M and everything else that was mentioned. And this is just an out-of-the-box feature of Tandem. This is nothing proprietary that we came up with. This is Autodesk's out-of-the-box setup.

Beyond the Excel piece, we also, for this project, utilize the built-in dashboarding feature of Tandem. This particular dashboard was asset classifications. So as we were going through and classifying all the assets, both internal project management staff and our client wanted to be able to track our progress.

So utilizing the built-in dashboarding features, we put this dashboard together so that as we were going through and staff on the project were going through and updating and classifying all the assets, at any point, both internal and the client staff could log into the Tandem site and actually track our progress. So dashboarding became a very, very helpful feature through all of this, and this is just one example of that. The dashboarding tools in Tandem are quite robust at this point.

So a little bit of what we're doing beyond the Aurora project. We are working through with another client, connecting their streaming devices, specifically their IoT streaming devices. So what we've got-- and again, this is a different model. But we've connected their IoT occupancy and temperature devices to this model. The green dots are those sensors.

Had selected one of them at the time we took the screenshot. You'll notice the occupancy hadn't been updated within the month of that screenshot, but temperature was 10 minutes prior. So I can't speak to how often the client has this data being pushed out of these sensors or what our connection to it is, just so much that we are working through the realistic use cases of connecting to the client's IoT sensors and how best we're going to use that data, aside from just viewing it in screen.

And to that point, as I mentioned, same client here. Temperature and occupancy sensors are what we connected to for all of this. This is a view of us combining that data into a heat map. So now we can track, or the client can track, the temperature data within their facility. And then, if something spikes one way or the other, and they know there's an issue it needs to be addressed, they can check the occupancy as well and see, if there is, how many people are in that area where the temperature spiked so they to get them out.

So we're just trying to look at what we can do with that data. We're still working through all of that. So far, the clients we're working with on that are very much appreciative and finding this helpful to their facility management goals. So with that, Scott and I would be happy to answer any questions. Thank you for watching.

You can email either of us. We'll get back to you as soon as we can. And we appreciate you taking the time.

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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。