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Taking It to the Next Level: Drawing Automation with Autodesk Inventor

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Designing with Inventor

We've all heard it before: "You can't automate drawings with iLogic." Well, we’re here to tell you that you can! With this article, you'll learn the basic techniques of developing the logic required to automate 2D drawings with iLogic and the Inventor API. You'll learn about creating views, adding dimensions and balloons, and working with sketched symbols and even parts lists. This information will shed an abundant amount of light on how to develop your drawing automation, as well as what to avoid, ensuring a robust and stable automation project.

Taking properly developed and designed 3D models, generating drawing views, adding dimensions and balloons, updating parts lists, adding and manipulating sketched symbols: this is the arena where Inventor Automation can do a lot of work and be ultimately beneficial. But this little gem is hard to come by. It takes time to plan, prepare, and process all the requirements to implement a project of that nature. But fear not, it can be done.

list

The Four Key Aspects of Inventor Automation

Let me begin by saying that any successful Inventor Automation project will require a plan. A plan will require knowledge and intelligence, the kind of intelligence that provides status and the current state of affairs. You must be intimately familiar with your data or surround yourself with the right team of people that are. You must know where you’re starting from before you can determine how to get to where you want to be.

Autodesk Inventor Automation Data Flow

wrkflow

  • Logic
  • Model Development

  • External Data Sources

  • User Interface

Overview

One of the steps within design processes companies ask me about on a frequent basis is Model Configuration. In the past, I had created a couple demonstration datasets that displayed some of the out-of-the-box features of iLogic and how anyone can build a rudimentary Product Configurator. It's important to be able to take a pool or collection of part and assembly models and put them together in an accurate and consistent manner, obeying best modeling and assembling practices ensuring the stability and integrity of the 3D information. This is definitely an area in the development process where everyone can relate.

This article will demonstrate the process of using a developed model configuration to “automatically” generate the 2D design documentation used for quoting, fabrication, or manufacturing. Topics of discussion will focus on the essential features needed to develop 2D drawings, to include:

  • Creating, naming, and activating Sheets

  • Defining the model reference

  • Creating, naming, locating, and scaling Views

  • Creating and modifying Parts Lists

  • Adding Dimensions

  • Placing Balloons

  • Adding and locating Sketched Symbols

  • Working with iProperties and Parameters for Title Blocks

Planning

For any automation project to be successful, you must plan. Having a plan, with objectives to monitor and manage success metrics, will allow for contingencies to be accounted for, as well as having some type of road map to follow for the design. How many Sheets are needed for the Views and Dimensions needed to capture a design? What notes need to be included? Do the notes vary depending on the type of design needing to be documented? Do we know enough to predict how the drawings need to be configured? Does a user need to interact with the process? There are many questions that you must ask yourself, a plan will help you understand what those questions are.

Drawing Automation is a departure from Model Automation. In my previous AU classes, I have discussed how to develop Product Configurators, taking models and putting them together in specific configurations to represent what it is you produce or manufacture. 3D models are engineering “gold” when it comes to conceptualizing and visualizing how to put something together. It is, without a doubt, essential in performing analysis, reducing costly prototype creation, and expediting roll-out time from concept to production. But having the detailed drawings of those configurations is where most of us find the value. Without the drawings, humans have a challenging time manufacturing anything with quality and consistency. Imagine building a house without blueprints! Good luck.

To pull off a Drawing Automation project in Inventor requires understanding of how Inventor works. Remember, iLogic does not change how Inventor works, it only changes how you work Inventor. Without knowing that a View requires a reference, or Dimensions need two points selected, or anything of the sort, it will be extremely difficult to understand what is required to automate the process. Also, Drawing References are Models, don’t forget to give those Models some special attention. Look for the Model Development section below to understand how to prepare those valuable 3D models.

Related: Inventor iLogic Best Practices and Fundamentals for Success with Thomas Fitzgerald

Logic

Where Do I Start?

I’ll admit, I’m not a programmer. I’ve never taken a class, I’ve never gone to school to write code, I didn’t have a Yoda to seek advice from, unless you consider Google a Yoda-like figure. The Internet has a wealth of information available to do certain little steps with whatever code language you would like to learn. I started learning Visual Basic .Net a while ago because of the need to understand iLogic. But, depending on your Inventor Automation architecture, you can use C# .Net as the code language for the logic, but the first step is to understand what language you want to use.

To iLogic or Not to iLogic?

I get this question all the time. “Which is better, iLogic or the Inventor API?” Honestly, they are one in the same. I’ve always considered iLogic like a door to the Inventor API. It’s just an environment with a library of commands that leverage the Inventor API to do Inventor tasks.

The key to deciding whether to use iLogic or not depends on several different factors. Do you want to accomplish simple little tasks like updating iProperty information? Or do you want to update Part Feature data or maybe even create a pseudo iAssembly, basically controlling the Suppression state of components within an assembly?

Another factor that should be taken into consideration is security. Because of its readily available tools and interface, most companies, when designing and developing their iLogic code, use the default settings and store their iLogic code within the files themselves. This presents a couple undesirable situations. First, the code is exposed to anyone that has access to the file, which in most instances, is fine. But one can spend a lot of time and effort putting together the code in such a way that other personnel should not be tinkering with it. Often, there could be sensitive information involved with the code that for obvious reasons, we don’t want out there and available to just anyone. External Rules can alleviate this problem to some degree by securing the Rule logic out on the network somewhere, and us the network security to prevent prying eyes from seeing exactly what is in the code.

If you’re looking to do a more complex series of tasks with your Inventor Automation, like connecting to other business systems, or if you need real-time updated database information, then I’m going to suggest using Visual Studio and the Inventor API. Creating an Inventor Add-In can provide you the security and single environment to do all your UI and Logic tasks needed for your automation project.

The Inventor API

API, or Application Programming Interface, is the recipe for "doing" in Inventor. If you want to draw a line in a sketch, you select the Line button and then you input what Inventor requires. First, you select a start-point, then you select an end-point. Each task in Inventor has a set of Functions to do everything from drawing lines, to creating assembly constraints, to scaling drawing views. Understanding the intricate steps of each task in Inventor is crucial for planning and implementing an automation project.

api

During the planning stage of your automation, outlining the Inventor steps from the perspective of the Inventor API will greatly expedite the logic development. Take for instance the concept of developing your drawing automation. One of the first steps when manually creating a drawing is defining what template to use, naming it, and then saving it. After that, how many Sheets are needed? Look in the Inventor API help to see the function to create a Sheet.

sheet

Now, I know it’s daunting. I was lost and confused the first dozen times I looked at it too. But, there is a lot of information out there on how to read and use the Inventor API. Look it up, do a search on YouTube, you’ll be surprised at the number of examples, tutorials, and videos available.

Code Structure and Organization

What’s the best way to structure your code? What I’ve learned through my experience is, the more generic, the better. Each Function, Subroutine, or Rule that you will create should be as simplistic and ambiguous as possible. Each one will have an input, the data that is required for the nature of the Function. Data mining, manipulation, and interpretation are most prevalent in this phase of the project.

Even if you intend to use iLogic as your logic tool, organize your Rules in such a way that they perform a specific function or task. You can call on those rules at any time from another rule to better control when your logic fires specific routines. It’s always better to have a lot of small rules then one large, complex rule. Your Functions and Subroutines should be written in the same manner.

Naming Convention

The ability to identify files to use in Inventor Automation is one of the key points to be aware of for Model Development. As an example, if you as an Inventor user decided that you wanted to add a component to an assembly, you need two bits of information; File Name and File Location. Some companies use what is called a “smart file naming convention” where each character in the File Name has some sort of meaning, typically followed by a sequential number to ensure uniqueness. Some companies use an arbitrary or random combination of alpha and numeric characters to name their files. Typically, these companies use a Document Management system like Autodesk Vault where database properties can be searched to identify files. Instead of relying on file names to be logical and have meaning, companies using a PDM can create search queries to find files based upon engineering or design information.

Whatever process you use to name files truly doesn’t matter. What is important to focus on is what the convention might be. Similarly, Drawing Automation may require Sheets, Views, Work Features, and Entities to be named to identify and access them for different logic processing. If you want to add a Dimension to a View, what View? Adding a Balloon to a component in an Assembly that is being referenced in a View? You might need to add an Attribute tag to a Face in the component. What’s the name of the Attribute you want to find? Giving them logical names makes this exercise much simpler.

Drawing Automation

What Is Drawing Automation?

What do we have to do to make sure drawings get created automatically? 'Automatic' is a word that is subject to interpretation. To most, it means that something happens without any human interaction. That would be in a perfect world. However, in engineering, we simply want to minimize the amount of human interaction, particularly if a process is repeatable, predictable, and relatively consistent. If we can automate the process, then we can ensure quality and consistency by removing the possibility for human error. It also allows us to utilize our staffing resources much more efficiently.

In Autodesk Inventor, Drawing Automation has specific steps to follow to accommodate the associations tasks have with one another. As in the example of generating a View, we first must identify a reference for that View. The next sections will discuss, in more detail, the process of developing your Drawing Automation.

Templates

Defining a template or series of templates to create your drawings from is the absolute first step in the process. You can use your default templates or create a whole new series of templates specific for the Drawing Automation. It doesn’t matter if you use the IDW or DWG file extension. Record the file path location of your templates, it will be necessary later.

Depending on the scale of your Drawing Automation, you may need many different templates. The template you use for one type of product may differ from another simply because the level of detail required. Creating a drawing of a single part file obviously would be different then a drawing of a complex assembly. Most of the time, you can accommodate a lot of these differences.

Sheets

After we identify what drawing template to use, next is Sheets. What number of Sheets do we need? What size do we need? What name do we want to apply to the Sheets? What about Borders and Title Blocks? The following items need to be considered:

  • Naming Convention for your Sheets

  • Sizing you Sheets, A size, B size, etc.

  • Activating a specific Sheet

  • Deleting Sheets

Views

Creating various Views allows us to capture the necessary geometric information to accurately define how something is configured. Inventor creates Views based upon Model Reference. We as end users can define which Model Reference to use for each View that is generated, depending on the type of View that is needed. The Inventor API allows us to define that Model Reference as well.

If you're detailing a single Part file, well, the Model Reference would be consistent throughout the drawing. What about a complex assembly? There are many different components, subassemblies, orientations, visibility options, etc., that need to be taken into consideration. This is where understanding the power and strengths of Inventor will help you out. The following items need to be considered:

  • Naming Convention for your Views

  • What type of View is needed, Base, Projected, Section, etc.

  • View Scaling

  • View Positioning

  • View Orientation

Use a powerful Naming Convention to identify Parts and Assemblies that need the Visibility turned off from within each View. There are methods to iterate through a View and turn off the Visibility of select components and subassemblies based on their name. Leverage Level of Detail Representations in your Assemblies to control what graphical information is present within the Views as well.

Tips

When working with Views, there are a few things that aren’t apparent when it comes to writing the logic code. First, Views are placed based on 2D points, essentially an X and Y. Second, View scale is difficult to judge. I always manage scaling based upon Sheet size. This way, no matter what Sheet size I use, the Views will always fit.

Parts Lists

For the most part, if you configure your Views correctly, the Parts List will take care of itself. But there are occasions where the Parts List does not reflect what you want to represent.

All of us at one point have created a View based on a Level of Detail, then placed a Parts List. Why do the components and subassemblies that I have suppressed still show up in the Parts List? Sometimes, we must filter components and subassemblies out because Level of Detail does not control the Parts List; View Representation filters do. We can also write code to do the same thing. We can also populate the Parts Lists with custom or “dynamic” information if we’d like. The following items need to be considered:

  • Parts Lists location

  • Content filtering

  • Item renumbering

Dimensions

The topic of creating and placing dimensions in an automated fashion has challenged consultants like me for a while. An end user can simply look at a View and with the basic information, apply the dimensions needed to detail it out. But Automation cannot look at a View and process it visually. Code needs other criteria, other information to make determinations about how to place dimensions. A method I use applies Work Points to the components or subassemblies that graphically compose where my dimensions should go. After I create the Work Points, I rename them following a predetermined Naming Convention so when my code needs them, it can find them.

Depending on the type or category of file that needs 2D documentation, the number of Dimensions can be immense. Typically for a quote, you may just need overall dimensions, a footprint, connectivity information, etc. But for fabrication or manufacturing documentation, well, you can imagine. How do we easily control, manage, and consume the information needed to place all those Dimensions? As I discussed in my previous AU classes, I like to leverage External Data Sources for situations like this. Using Microsoft Excel or SQL databases allow for the flexibility and user friendliness needed to input and edit large amounts of data. 

Tips

When working with Dimensions, there are a few things that aren’t apparent when it comes to writing the logic code. Dimension placement is based on 2D points, once again, X and Y. You need a start-point, an end-point, and a point for the text placement. Because the points are dependent on 3D graphical information, points need to be “projected” into 2D space. Get familiar with Geometry Intent in the Inventor API.

Balloons

When I first started using Inventor, I was amazed at the fact that if I pointed a Balloon at something else in a View, the Balloon number updated and reflected the corresponding item number in the Parts List. I was coming from AutoCAD, where quadruple checking the manual table we called a BOM to make sure item numbers matched was extremely tedious, time consuming, and prone to mistakes. As I started working with Drawing Automation, I found that working with Balloons was much easier than I had anticipated. Identifying what needed a Balloon was as simple as Attribute tagging. In previous versions of Inventor, this was accomplished using a utility developed by Brian Ekins called Attribute Helper. It provides a simple, easy-to-use interface to select Faces, Edges, Points, etc., and apply a named tag to it. Then all you need to do is iterate through the files and find the Attribute, access its object, and viola, you now know what to attach a Balloon to. The hardest part of it all is placing the Balloon itself, ensuring you don’t interfere with other annotations in the drawing.

Tips

When working with Balloons, there are a few things that aren’t apparent when it comes to writing the logic. The Balloon placement can be controlled based on the attachment point or relative to the View. I find it easier to use the attachment point as reference and controlling the direction of the Balloon based on where the attachment point entity is. If the entity is right of the View centerline, then the direction of the Balloon is to the right. If it’s to the left, then left. You get the point. You can also control the Balloon shape type as well as the Balloon value.

Sketched Symbols

In Inventor, we control text blocks by using Sketched Symbols. They are predefined, stored within the drawing, easy to use, and can even be dynamic. They can even have Leaders to attach to geometry and move around. In my opinion, working with Sketched Symbols is the easiest of them all. You simply call the name of the symbol you want and define its location relative to the Sheet. Add Prompted Entry fields if you want to have dynamic Sketched Symbols.

Model Development

Attributes

Have you ever just wanted to give a Face or an Edge a name? Well, now you can! You have been able to for a long time now, but now we can do it easily. In Inventor 2019, if you select a Face or an Edge, and right click, you will see in the menu the opportunity to Assign Name. The name you provide will be the named Attribute to search for, as I explained when applying Balloons.

Another way to add Attributes, if you’re not using Inventor 2019, is by using the Attribute Helper.

The key to using Attributes for designating faces and edges is to have an adequate Naming Convention and understanding which files will be involved with the Balloon process as well as their orientation.

Work Points

I have found great success using Work Points to define where the start-point and end-point of any dimension is located. I create the appropriate Work Point in the necessary file, give it a logical name based upon a Naming Convention, and turn off the visibility. Because all dimensions have two points, I post-fix each corresponding Work Point with '1' and '2.' It allows for looping within the code much easier. I theorize that using Attributes to tag vertices will work, although I have not tried the workflow.

Finally

External Data Sources

As I mentioned before, External Data Sources can be extremely valuable, particularly if your Drawing Automation has aspects that include numerous variables. Microsoft Excel and Microsoft SQL Server are tools to use to accomplish storing and retrieving variable information, on demand. They also provide a user-friendly means of adding, updating, and administrating the design-specific information as your Drawing Automation scales and grows.

User Interface

Not all Drawing Automation projects will require a User Interface. Typically, a User Interface will be created and used when developing Design Automation, like a product configurator. If this is the case, the Drawing Automation will usually be an extension of the Design Automation and leverage its UI. However, a UI can be created to initiate the Drawing Automation process and provide a means to apply critical information to satisfy the inputs for the Drawing Automation.

Developing an Inventor Add-In

The next logical step in terms of complexity, level of effort, and functionality is developing an Inventor Add-In. Running iLogic rules by manually triggering them, or developing an iLogic form or forms, or creating windows forms in Visual Studio and using an iLogic rule to run them are very common ways of interfacing with your end users. But some companies have a need or desire to streamline how end users work in the Inventor environment. For those that want to go all out and truly “customize” Inventor, developing an Inventor Add-In is the way to go. My friend Brian Ekins has talked about this subject many times. Check out his AU class, Creating Add-Ins for Inventor

Want to see some code examples? Download the full class handout.

Thomas Fitzgerald is a senior implementation consultant specializing in Inventor Automation and data management. Thomas has consulted with a large number of companies with a very diverse exposure to both large and small engineering departments. His work experience includes mechanical design within the automotive, shipbuilding, mining, and material handling industries as well as custom configuration applications utilizing the Inventor API, iLogic, Microsoft SQL Server, and Microsoft Visual Studio. Thomas has over 20 years of experience within the mechanical design and manufacturing industries using numerous Autodesk products. He is an Autodesk Certified Instructor as well as having his Microsoft Certified Systems Administrator credentials.

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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。