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How We Digitally Transformed Our CNC Machine Shop Business with Autodesk Fusion 360

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说明

Using Autodesk Fusion 360 software, we embraced a digital thread from design to production (or, as they say in sales, "from curiosity to cash"). Our new processes revolve around Fusion 360 and deliver improvements in process reliability and predictability. Just as importantly, this change let us create a new cloud-based digital customer experience. In this session, we'll look at how we applied Fusion 360 to create our new computer numerical control (CNC) manufacturing processes, and examine how we created the necessary Fusion 360 add-ins. Then we'll show how we took the further step of integrating Fusion 360, and our Fusion 360 add-in (created with the Fusion 360 API), with our cloud-based internal and customer-facing IT system. For our customers, the result is a new cloud-based customer experience that enables orders, reorders, and customization more easily than ever before. See how we went from standardizing on Fusion 360 to making it the core of our digital business transformation.

主要学习内容

  • Learn how to apply Fusion 360 to improve internal CNC machine-shop practices.
  • Learn about applying Fusion 360 (and our Fusion 360 add-in) to reduce the CAM learning curve.
  • Discover one approach to integrating Fusion 360 with internal and customer-facing, cloud-based IT systems.
  • Learn how to use Fusion 360 with cloud-based manufacturing services.

讲师

  • Dave Boswell 的头像
    Dave Boswell
    Dave is CEO and co-founder of SendItCNC Inc., a startup that provides CNC machines in the cloud. Dave's an entrepreneur and technologist with a passion for software engineering and CNC machining. Dave has held key executive positions and been an early-stage investor at exceptional software startups that defined significant new markets and set standards in the industry. Dave has been a frequent presenter at conferences, and instructed university-level courses in software engineering. Dave has B.Math and M.Math degrees in Computer Science from the University of Waterloo, and received the 2003 JW Graham Medal in Computer Science and Innovation.
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Transcript

DAVE BOSWELL: OK, a warm welcome to everyone. Hi. I'm Dave Boswell, co-founder and CEO of SendItCNC. We run a CNC job shop, specializing in prototypes and small runs. So every day is exciting for us because every job is something new and different.

Now, most of us here at SendItCNC have software engineering backgrounds. And we started doing this about 10 years ago just because we loved CNC manufacturing. Being from the software world, we're also working on software that makes it easy to run a CNC job shop. When we standardized on Fusion 360, it was inspiring for us. And we'd like to share the journey that took us on because we ended up with a more reliable and predictable set of operations and a better customer experience.

Here is an overview of the journey that Fusion launched us on. First, we got Fusion 360 in, oh, about 2015. And it was transformative for us. Looking back, we shouldn't have been surprised because we went from a G-code centered world to a CAM-centric world.

And in the course of fully embracing Fusion's integrated CAD and CAM, we naturally established protocols for our best practices, for example, rules that Fusion files had to conform to for our shop. A simple example is this-- use only raw material sizes that are actually available off the shelf in inventory. But those best practices go far beyond that and try to standardize everything we do, from tooling to workholding setups.

Then we automated those best practices using Fusion 360's add-in capability. Now, somewhat to our surprise, it turned out that made it very straightforward to integrate with our business systems, like quoting, sales, and order management.

Now, even though most of us at the SendItCNC team have software engineering backgrounds, we still made plenty of G-code mistakes. And as I'm sure you know, it's never pretty when you have an error in the programming of a CNC machine because a CNC machine is just an uber strong robot with no common sense and armed with a carbide cutter spinning at 15,000 RPM. It can do a lot of damage.

So Fusion CAM was a wonderful thing for us because it automated that tedious and error prone job of G-code programming. The more we embraced Fusion CAM, the better it became. So modeling just the minimum for CAM, like we show here, the cutter and the workpiece, well, that works. And it's more reliable than G-coding.

But it turns out we can do much better than that. So we fully modeled our tool library so that every tool holder has-- every tool, excuse me, has a holder. And it is an accurate representation of the actual physical holder. Then we fully modeled our frequently used setups, like the milling vise shown here. And we made a rule that we'd only run jobs in our shop after we had fully modeled not just the workpiece, but the tools and the setup-- no shortcuts, no exception.

Now, what that did, well, all this lowered the incidence of, what I'll call gingerly, accidental miss machining, you know, cutting vise jaws, rubbing tool holders against workholding, breaking probe stems. And it reduced the risks of outright CNC machine crashes. The result was improved process reliability, all just by leveraging Fusion 360's capabilities.

So we got to a point where at the beginning of a job we'd go through four steps. We'd start with the model of what we were making. Sometimes we'd get that model from a customer. Sometimes we'd make it our self in Fusion.

Then, we'd insert the workholding model, say a vise in this example. And then, we'd adjust the workholding model to the job, to the workpiece. We'd adjust the stock size and position it, say, close to the vise jaws in this case. Then, we could go over to the manufacturing workspace and define a CAM setup and finally get started CAM-ing the part. And that was a pretty good system.

But it got much better when we learned to start with the workholding setup instead and insert the model of the part into the workholding setup. This is a subtle sounding difference. But it turns out to have big benefits in the Fusion world because it lets you have predefined CAM setups and operations ready to go.

And by the way, we first heard about this in one of John Saunders great NYC CNC YouTube videos. So credit where credit's due on that.

So our standard then became import the model into the setup and adjust the setup as required. Then start CAM-ing with a setup already defined. So fast and easy because the CAM setup is already defined. And you can have some predefined CAM operations there to start with as well.

That worked so well that we made the investment to build a Fusion 360 add-in that automated that process. So let's take a look. Select the model first. You can see we're going down there, and I'll go over and select the model. And now, hit Create setup. There's some options there, but I'm just going to go with the defaults. Now, it'll bring in the model, adjust the stock size, and so forth, and create the setup. Just that easy.

So for our job shop this made CAM setup creation instant. It also automated work that included the opportunity to make errors, like defining that CAM setup. Now at this point, you might say, yeah, but what about second operations? And, you know, I use a lot of different setups, and I always customize them. So this feels like the rails may be too narrow. It might be a little too restrictive for me in the real world.

Well, of course, we live in that same real world. And I want to show you in the next couple of slides how we've addressed some of these questions. So let's add a second operation.

Just select Second operation. And then say we're using this operation. Operation is used, I'll click that check box. And you'll see that the vise automatically closes on the workpiece. Now we have a first and second operation defined with CAM setups for both.

And now, the machinists here know that we probably wouldn't hold a part like that for the second operation. So let's customize that a bit. Let's set the workpiece a little deeper in the vise jaws on the middle step. There we go. Done. Easy.

Now, let's take a look at the manufacturing workspace for this design and setup. And you can see that we have a couple of setups, just as you would expect. And there are some predefined operations in there with some CAM operations for each. I didn't mention it before, but that Setup app is smart enough to adjust the stock size to the sizes that are available in our inventory.

So you can see that building a CAM setup for a new job is a walk in the park for us and just take seconds thanks to Fusion and this automated setup builder. We call it the SendItCNC app, which by the way, is available free today on the Fusion App Store. If you want to use the setup builder in your own shop, you'll have to customize things a bit for your world.

The vise here is pretty generic and easily can be edited to represent the particular kind of milling vise you might use, same with the predefined CAM operations and the tool library and available stock sizes. But the nice thing is then with the automatically generated setup, you can dive right in and start adding CAM operations. Now, we'll come back to this in a moment and look at the range of setup customizations available and other kinds of setups available to you with this system.

Now, before we make any part, we need to get an idea of what the actual cost of that part is going to be. And this is pretty simple to do manually. You just add up the material cost, the machining time, estimates for the setup cost.

But because we now have a precisely defined library of setups tools and for that matter stock or raw materials, this is easy to automate. So as you can see, we made another Fusion 360 add-in. From the manufacturer workspace, this add-in submits a job-- job just means a Fusion CAD/CAM file-- to an app in the cloud that looks at our pricing and material inventory and makes an instant price estimate, which you're looking at here.

So for those of you who are interested in what kind of app this is in the cloud, well, it's an AWS serverless app, mostly written in TypeScript. There's a Hugo front end, which is what we're looking at now. We're looking at the user portal into that app. And we call the app the Job Management Server.

You can see the estimate for this job right here. And so now, we could provide a quote to the customer. Or if we like, we can just proceed with the job by going through checkout. Let's do that.

So here's the Checkout screen. Checkout is handled by our shopping cart system, which is implemented in Shopify, for those that are interested. The system also handles inventory, pricing data, sales transactions, payments and shipping. So it takes a lot of business issues off the table for us.

Some jobs come from customers outside our organization. And some come from us internally, like prototypes or items for sale on our own web store. So we can create a job here. And further, we can also give the customer access to this so that they can see the quote and order the part all online when they're ready. And in fact, we've opened this up to all Fusion users so that anyone here can submit a job and get their part made. Once checkout is complete, as you can see, we're back at the user portal to the Job Management server.

Let's look at what happens now that there's a job and it's ready to be executed. Now, I can see my job here and its status. But let's look under the covers at what we do internally at SendItCNC.

Here's a screenshot of our internal job administration console. You can see the particular job we just submitted and its status. Validation is an important step before we run the job.

So for the stock, the tools, the setup used, we verify that what's found in the Fusion file matches what is declared for the job. So for example, every tool used is checked to make sure it's the actual tool from our tool library and has not been modified. In this case, that's accomplished by another Fusion add-in called the SendItCNC Examiner.

Then, we ensure that the CAM simulates collision free. Then we examine every operation and, in fact, every parameter of every operation and check to make sure that its value is correct, or at least within acceptable bounds. If a discrepancy is found, maybe it's correctable, or it might invalidate the job. Then, according to the amount of risk, we can run a simulator, like Vericut, to make sure that cutter loads are acceptable.

Now, you might say, sure, we understand need to do that validation for a customer submitted job or a Fusion user submitted job, but don't you just trust yourselves internally with internally submitted jobs? The answer is, no, we don't. Or maybe I should say this-- sure, we trust everybody, including ourselves, trust but verify. And that's what this is about.

Here's a screenshot of our Examiner checking the tools used and correcting where possible. Every tool is checked to make sure that every specification is consistent with the actual tool from our tool library and hasn't been modified. So as I'm sure you're aware, a slight modification to, say, cutter stick out length, say, to accommodate part geometry can cause a nasty collision.

So if we're going to do something like that, we define a new special tool corresponding to a different physical cutter. And we add it to the library-- no exceptions and no shortcuts. So back to the user portal now to the Job Management server, and you can see the job going through the process of validation and then execution. And then, it gets sent to the shop floor to actually get made.

So let's just have a high-level look at what our system looks like. In Fusion 360, the CAD/CAM designed for the CNC job is created. And the setup maker assists in that. The job submitter add-in sends the CAD/CAM file and other job specs over to the Job Management server. That creates a transaction in the business systems.

And importantly, the Job Management server keeps track of the jobs and the validation and execution. If everything looks good, the Job Manager sends the job to the shop floor for execution. And by the way, there's another add-in that I didn't mention previously, which installs and maintains that library of setups and the tool library and library of CAM templates and so on. So it's really quite a simple system.

Let's look at a couple more aspects of this system. First of all, the basic Setup Maker, as I said, is available free of charge in the App Store. Here is the actual screenshot of the actual Ascendancy app in the App Store. You can use it with your own CNC machines and modify it for your workholding devices and tool library. And you can even, as I said, submit jobs to us for machining and immediate shipment to you.

Here we see the Library Manager add-in downloading and installing the tool libraries and template libraries. And that's all handled automatically. It doesn't happen quite as quickly as it's shown here. I did speed up the video just to get the point across of what happens.

Now, I'd like to illustrate a setup other than a vise in a milling machine. And I'd also like to show some interesting setup customization. So let's take a quick look at making this part, call it a coaster, in two operations on a lathe.

I select a lathe. And then I select the part that we're going to make the coaster. I click Create setup. And you can see we've got the lathe chuck.

I am changing the jaws to a more appropriate jaw type, reverse jaws, for this shape of part. And I adjusted it to be on the middle step of those reverse jaws. Now, I'm going to change the stock offset a little bit to give me a little thickness to get the part set out from the chuck.

I went over to the second operation, which on a lathe looks very similar, and the workholding looks very similar to the first. And I made the second operation for the lathe setup. Now, I've gone over to the manufacture workspace. And this is all going by very quickly. I'll add an operation or two and remove the parting operation that we're not going to need. And then I'll just go into CNC Simulation and take the model and the workholding out of view so you can get an idea of what the result will look like. There's our final part-- beautiful.

And finally, I'd like to show another example, this time making a part on a fourth axis with two subsequent operations. This also illustrates where that red and black SendItCNC logo comes from. It is a view of a Turner Cube, which this object is called. It's an icon in the machine shop world.

So let's take a look at making a Turner Cube on a fourth axis. I'm going to select fourth axis setup, rotary stock and holders. It's going to hold this in a dovetail holder, as a matter of fact. And you'll see, if you were to submit this for quote, that it would specify dovetail stock. I went through the setup for the second operation.

This is for the third operation. I'm holding it deep in the vise to mill off that dovetail. Here, I am over in the manufacturing workspace. Going to take a look at the CNC setup for the first, the second, and now the third operations. It's all going by very quickly I know.

And now, I'm going to actually switch over to the full CAM to make the Turner Cube, which is probably simpler than it looks. I'm going to run this in Simulation, take the model out of the view so that you can see the beautiful finished Turner Cube. There we go. And I like that video so much I'm going to play it again as we go through the summary.

So for us, this was a Fusion centric digital transformation of our entire business. We set out to embrace Fusion 360 and CAM coming from a G-code centric world-- transformational for us. We leveraged Fusion 360 capabilities, including in particular the Fusion 360 add-in capability. We leveraged that for two things-- one to automate the CAD/CAM best practices for our shop and, two, to create a simple integration with our business operational systems.

As software guys, we were a bit obsessed with automating not just the machining process, but also the operational processes and business processes in order to close off sources of error that made the operation of our business more reliable, efficient, and predictable. Fusion 360 was the essential enabler of that transformation. We just leveraged Fusion's capabilities to integrate our manufacturing and business operations. In the end, this improved our process reliability and predictability and helped us deliver a better customer experience.

Of course, we welcome questions and discussions. And you can reach me personally at dave@senditcnc.com. As. We said, the basic Setup Maker is available free on the App Store. You can adapt the workholding models and tool library to your environment. There's also a more advanced paid version of the app in the App Store that supports 4 and 5 axis setups on milling machines and also lathe setups.

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我们通过 Google Analytics (Strictly Necessary) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Strictly Necessary) 隐私政策
Typepad Stats
我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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改善您的体验 – 使我们能够为您展示与您相关的内容

Google Optimize
我们通过 Google Optimize 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Google Optimize 隐私政策
ClickTale
我们通过 ClickTale 更好地了解您可能会在站点的哪些方面遇到困难。我们通过会话记录来帮助了解您与站点的交互方式,包括页面上的各种元素。将隐藏可能会识别个人身份的信息,而不会收集此信息。. ClickTale 隐私政策
OneSignal
我们通过 OneSignal 在 OneSignal 提供支持的站点上投放数字广告。根据 OneSignal 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 OneSignal 收集的与您相关的数据相整合。我们利用发送给 OneSignal 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. OneSignal 隐私政策
Optimizely
我们通过 Optimizely 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Optimizely 隐私政策
Amplitude
我们通过 Amplitude 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Amplitude 隐私政策
Snowplow
我们通过 Snowplow 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Snowplow 隐私政策
UserVoice
我们通过 UserVoice 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. UserVoice 隐私政策
Clearbit
Clearbit 允许实时数据扩充,为客户提供个性化且相关的体验。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。Clearbit 隐私政策
YouTube
YouTube 是一个视频共享平台,允许用户在我们的网站上查看和共享嵌入视频。YouTube 提供关于视频性能的观看指标。 YouTube 隐私政策

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定制您的广告 – 允许我们为您提供针对性的广告

Adobe Analytics
我们通过 Adobe Analytics 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Adobe Analytics 隐私政策
Google Analytics (Web Analytics)
我们通过 Google Analytics (Web Analytics) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Web Analytics) 隐私政策
AdWords
我们通过 AdWords 在 AdWords 提供支持的站点上投放数字广告。根据 AdWords 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AdWords 收集的与您相关的数据相整合。我们利用发送给 AdWords 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AdWords 隐私政策
Marketo
我们通过 Marketo 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。我们可能会将此数据与从其他信息源收集的数据相整合,以根据高级分析处理方法向您提供改进的销售体验或客户服务体验以及更相关的内容。. Marketo 隐私政策
Doubleclick
我们通过 Doubleclick 在 Doubleclick 提供支持的站点上投放数字广告。根据 Doubleclick 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Doubleclick 收集的与您相关的数据相整合。我们利用发送给 Doubleclick 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Doubleclick 隐私政策
HubSpot
我们通过 HubSpot 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。. HubSpot 隐私政策
Twitter
我们通过 Twitter 在 Twitter 提供支持的站点上投放数字广告。根据 Twitter 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Twitter 收集的与您相关的数据相整合。我们利用发送给 Twitter 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Twitter 隐私政策
Facebook
我们通过 Facebook 在 Facebook 提供支持的站点上投放数字广告。根据 Facebook 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Facebook 收集的与您相关的数据相整合。我们利用发送给 Facebook 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Facebook 隐私政策
LinkedIn
我们通过 LinkedIn 在 LinkedIn 提供支持的站点上投放数字广告。根据 LinkedIn 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 LinkedIn 收集的与您相关的数据相整合。我们利用发送给 LinkedIn 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. LinkedIn 隐私政策
Yahoo! Japan
我们通过 Yahoo! Japan 在 Yahoo! Japan 提供支持的站点上投放数字广告。根据 Yahoo! Japan 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Yahoo! Japan 收集的与您相关的数据相整合。我们利用发送给 Yahoo! Japan 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Yahoo! Japan 隐私政策
Naver
我们通过 Naver 在 Naver 提供支持的站点上投放数字广告。根据 Naver 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Naver 收集的与您相关的数据相整合。我们利用发送给 Naver 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Naver 隐私政策
Quantcast
我们通过 Quantcast 在 Quantcast 提供支持的站点上投放数字广告。根据 Quantcast 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Quantcast 收集的与您相关的数据相整合。我们利用发送给 Quantcast 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Quantcast 隐私政策
Call Tracking
我们通过 Call Tracking 为推广活动提供专属的电话号码。从而,使您可以更快地联系我们的支持人员并帮助我们更精确地评估我们的表现。我们可能会通过提供的电话号码收集与您在站点中的活动相关的数据。. Call Tracking 隐私政策
Wunderkind
我们通过 Wunderkind 在 Wunderkind 提供支持的站点上投放数字广告。根据 Wunderkind 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Wunderkind 收集的与您相关的数据相整合。我们利用发送给 Wunderkind 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Wunderkind 隐私政策
ADC Media
我们通过 ADC Media 在 ADC Media 提供支持的站点上投放数字广告。根据 ADC Media 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 ADC Media 收集的与您相关的数据相整合。我们利用发送给 ADC Media 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. ADC Media 隐私政策
AgrantSEM
我们通过 AgrantSEM 在 AgrantSEM 提供支持的站点上投放数字广告。根据 AgrantSEM 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AgrantSEM 收集的与您相关的数据相整合。我们利用发送给 AgrantSEM 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AgrantSEM 隐私政策
Bidtellect
我们通过 Bidtellect 在 Bidtellect 提供支持的站点上投放数字广告。根据 Bidtellect 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bidtellect 收集的与您相关的数据相整合。我们利用发送给 Bidtellect 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bidtellect 隐私政策
Bing
我们通过 Bing 在 Bing 提供支持的站点上投放数字广告。根据 Bing 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bing 收集的与您相关的数据相整合。我们利用发送给 Bing 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bing 隐私政策
G2Crowd
我们通过 G2Crowd 在 G2Crowd 提供支持的站点上投放数字广告。根据 G2Crowd 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 G2Crowd 收集的与您相关的数据相整合。我们利用发送给 G2Crowd 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. G2Crowd 隐私政策
NMPI Display
我们通过 NMPI Display 在 NMPI Display 提供支持的站点上投放数字广告。根据 NMPI Display 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 NMPI Display 收集的与您相关的数据相整合。我们利用发送给 NMPI Display 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. NMPI Display 隐私政策
VK
我们通过 VK 在 VK 提供支持的站点上投放数字广告。根据 VK 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 VK 收集的与您相关的数据相整合。我们利用发送给 VK 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. VK 隐私政策
Adobe Target
我们通过 Adobe Target 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Adobe Target 隐私政策
Google Analytics (Advertising)
我们通过 Google Analytics (Advertising) 在 Google Analytics (Advertising) 提供支持的站点上投放数字广告。根据 Google Analytics (Advertising) 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Google Analytics (Advertising) 收集的与您相关的数据相整合。我们利用发送给 Google Analytics (Advertising) 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Google Analytics (Advertising) 隐私政策
Trendkite
我们通过 Trendkite 在 Trendkite 提供支持的站点上投放数字广告。根据 Trendkite 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Trendkite 收集的与您相关的数据相整合。我们利用发送给 Trendkite 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Trendkite 隐私政策
Hotjar
我们通过 Hotjar 在 Hotjar 提供支持的站点上投放数字广告。根据 Hotjar 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Hotjar 收集的与您相关的数据相整合。我们利用发送给 Hotjar 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Hotjar 隐私政策
6 Sense
我们通过 6 Sense 在 6 Sense 提供支持的站点上投放数字广告。根据 6 Sense 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 6 Sense 收集的与您相关的数据相整合。我们利用发送给 6 Sense 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. 6 Sense 隐私政策
Terminus
我们通过 Terminus 在 Terminus 提供支持的站点上投放数字广告。根据 Terminus 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Terminus 收集的与您相关的数据相整合。我们利用发送给 Terminus 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Terminus 隐私政策
StackAdapt
我们通过 StackAdapt 在 StackAdapt 提供支持的站点上投放数字广告。根据 StackAdapt 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 StackAdapt 收集的与您相关的数据相整合。我们利用发送给 StackAdapt 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. StackAdapt 隐私政策
The Trade Desk
我们通过 The Trade Desk 在 The Trade Desk 提供支持的站点上投放数字广告。根据 The Trade Desk 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 The Trade Desk 收集的与您相关的数据相整合。我们利用发送给 The Trade Desk 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. The Trade Desk 隐私政策
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

是否确定要简化联机体验?

我们希望您能够从我们这里获得良好体验。对于上一屏幕中的类别,如果选择“是”,我们将收集并使用您的数据以自定义您的体验并为您构建更好的应用程序。您可以访问我们的“隐私声明”,根据需要更改您的设置。

个性化您的体验,选择由您来做。

我们重视隐私权。我们收集的数据可以帮助我们了解您对我们产品的使用情况、您可能感兴趣的信息以及我们可以在哪些方面做出改善以使您与 Autodesk 的沟通更为顺畅。

我们是否可以收集并使用您的数据,从而为您打造个性化的体验?

通过管理您在此站点的隐私设置来了解个性化体验的好处,或访问我们的隐私声明详细了解您的可用选项。