AU Class
AU Class
class - AU

Unlock Your Civil 3D Project Data Management with a Standardized Data Tool

共享此课程
在视频、演示文稿幻灯片和讲义中搜索关键字:

说明

This session will focus on how Egis benefits from easy and efficient infrastructure project data management with the Standardized Data Tool for Civil 3D extension. With the new IFC 4.3 format, already operational in Civil 3D, and the building information modeling (BIM) methodologies requirements growth, data management has never been more important. In a very competitive context, a high level of performance for property and data management is essential to maintain a position as a leader, win more projects, and increase ROI. We'll demonstrate how automation brought by Standardized Data Tool can power Civil 3D to the data management upper level and help implement efficient data management workflows. We will showcase how to implement an efficient infrastructure data management process. We'll illustrate how to manage property sets and synchronize extended data for several Civil 3D files, part of a unique project, and we'll perform customized checks and validation reports.

主要学习内容

  • Learn how to apply an infrastructure project data management workflow.
  • Discover how to use Standardized Data Toll for Civil 3D to automatize and improve property and data management.
  • Learn how to add property and data management features to Civil 3D and push the BIM limits.
  • Learn about solving any issue with information management in a BIM infrastructure workflow.

讲师

  • Alexis MERESSE
    I am in charge of linear infrastructures software for EGIS, a multi disciplinary worldwide engineering firm. I joined EGIS Road department in 2008 as a designer though apprenticeship. For 17 years, I had the opportunity to work on exciting highways projects in France (A88, A63, CSNE) and internationals (Qatar, Peru, Benin). Civil3D user since 2013, I gradually became EGIS, Civil 3D corporate champion developing BIM processes and specifications to implement Civil 3D for projects. I have overseen company standardization, developments related to the automation of time-consuming tasks, and I delivered design and deliverables trainings in Egis France office but also in Armenia, Indonesia and Ivory Coast offices. I have taken over the governance of software benchmarking, deployment and production methodologies development in road and rail infrastructure application.
  • Vincent Fredon 的头像
    Vincent Fredon
    Vincent Fredon is an Autodesk Solution Engineer in AEC. He is an Infrastructure specialist working with all the Autodesk infra solutions and mainly Autodesk Civil 3D, InfraWorks and Navisworks. He is based in Paris. Vincent has worked 13 years for Engineering companies in the Infrastructure domain. He then moved to an Autodesk VAR (GraphLand) where he has been Trainer and Consultant for various enterprises and projects (road, rail, energy…) on different software and BIM processes implementation. During the last few years, he has developed a strong expertise in meeting the needs of French civil companies. Vincent also worked on the French Civil Country Kit and the Autodesk InfraWorks localization, as a contractor for Autodesk.
  • Lionel FABRE 的头像
    Lionel FABRE
    With over 20 years’ experience in requirements definition, software design and development using a range of different technologies. I have been involved in all project stages on both large and small-scale with experience of team leadership. With a background in civil engineering and transportation, my current focus is on infrastructure design in the architecture, engineering and construction industry. I have a robust experience on the BIM implementation and authoring desing tools standardization. In the Digital Engineering for Business department at Egis corporate level, I’m director of the production, tools and methods departement who is in charge of Optimizing and secure production methods, Providing a digital platform for BIM production, Providing digital expertise and Representing Egis in national and international group related to digital standards
Video Player is loading.
Current Time 0:00
Duration 47:42
Loaded: 0.35%
Stream Type LIVE
Remaining Time 47:42
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

ALEXIS MERESSE: Hello, everyone. My name is Alex Meresse, and today I'm accompanied by Vincent and Lionel. And we're going to show you how Egis has implemented the new Civil 3D plugin standardized data tool in order to manage your data managements.

So I joined the Egis department head 15 years ago, and I had the opportunity to work on exciting projects in France, and across the globe. I started as a Civil 3D user since 2013, then I gradually became a Civil 3D corporate expert, developing main processes on specific vision, or implemented in projects. I have overseen company standardization, and development related to the automations.

Since April this year, I've taken over the management of software in road and rail infrastructure. And now my colleague will introduce themselves. Over to Vincent.

VINCENT FREDON: Thank you, Alexis. Hello, everybody. My name is Vincent Fredon. I'm a solution engineer infrastructure for Autodesk France, now for more than eight years. I'm very happy to support Alexis and Lionel in this session today. Lionel?

LIONEL FABRE: Hello, everyone. Thank you, Vince.t So I'm Lionel Fabre. In the digital engineering for business department at Egis. I'm the director of the production tools and methods department. This department is in charge of the BIM digital platform-- production platform. I've been working at Egis for 11 years now. And regarding my background, I'm a civil engineer, and I have a robust experience in-- on the BIM implementation, and authoring design tools standardization. In the past, I worked for-- sorry, for five years at Autodesk.

ALEXIS MERESSE: OK, so first of all, Lionel will present Egis [INAUDIBLE] strategy digital. Then Vincent and I I will explain how to manage project data, what the current constraints are, and how to standardize the data to solve them. This leads me to present a case study from one of our projects. And while-- we finish with the ROI and conclude. Now, Lionel, It's your turn.

LIONEL FABRE: OK. Thank, you Alexis. So I'm going to start with a quick presentation of Egis for you to know exactly where we are. So Egis, we are the first engineering company in France. For several years now, our company has been on a trajectory on continuous growth. Our objective is to enter the construction engineering global top 10 by 2026.

We have two key objectives. Today, it's becoming a leading player in the field of climate and biodiversity protection, and the second one is that we are convinced that the digital changes will play a structural role in our activities, and this will be even more pronounced in the future.

So let's talk about Egis in fewer numbers. So we have a turnover of 1.48 billion euro. We are the first civil engineering company in France, as I said. We have 18,000 employees in the world. So, splitted in 75% for the consulting, engineering part, and 25% for operation and mobility services.

We have closed 28 acquisitions since the beginning of 2020, and we want to become one of the top 10 engineering company by 2026. And our strategy is to continue these acquisitions to reach our target of 2.8 billion euro in 2026.

So, within this, we provide a unique global offer, combining consultancy, engineering, operation, and mobility services. With this position, we can cover the entire life cycle of our projects. Our business is built on three key pillars. So the first one is the mobility, the urban and sustainable living, and the third one is energy and industry. We are committed to work on a global eco-engineering approach to reduce the emission and negative impacts of-- on biodiversity.

Our internalization is organized around a number of [INAUDIBLE] countries, in which we have started a structural development. With this organization, we are able to have a global climate policy, and we are capable to work locally on those challenges with the local actors. Thanks to our acquisitions-- the last one is McIntosh Perry, a major company in the North America, located both in Canada and the US-- we are on the point of reaching a critical size on a number of markets in the Middle East, in India, Australia, and New Zealand.

OK. So regarding the digital strategy, within our new digital engineering for business department, we have three key territories of value that can drive self-development and innovations. The first one is the augmented design, where we are committed to improve our design processes by leveraging our production tools and technologies.

Second one is connected office to site. So we have the objective to bridge the gap between design and construction by using real-time data from construction sites, and we are convinced that this approach will improve site management, and enable us to adapt designs as needed, ensuring seamless project execution.

And the last one is developing and leveraging digital twins. So, from project conception to asset management-- management, sorry-- we harness the power of digital twins. So intelligence and technical excellence will be the two enablers for us to reach out the objective, and our targets. So, thank you for your attention. I now hand over to Vincent for the technical presentation.

VINCENT FREDON: Thank you, Lionel. We are going to speak a lot about property sets and data in this session. Why is it a so important topic? First, data is one of the unavoidable features of infrastructure projects. Designing is not drawing anymore. It's modeling with smart tools using intelligent objects. Today, drawings are the 2D deliverables created from the model, extracted from the models.

Models means geometry and data. Model without data can only be used for rendering. It's a usage often required, but we can do much more with data. Meaningful data embedded in models allows many different uses-- quantification-- for example, volumes for 3D solids-- control and validation using any attributes attached to the object, sustainability using, for example, carbon index attached to the objects-- digital train and maintenance.

Second, alignment with Open BIM. BuildingSMART International has published the IFC 4.3 format one year ago. It includes specific categories and classes for infrastructure project components. Adoption of IFC 4.3 means agility to manage attributes in the infrastructure project models. The IFC 4.3 extension for Civil 3D is already available for an advanced mapping between the infrastructure models' data and the properties in the IFC 4.3 exports.

And, last point, data in Civil 3D means property sets. Property set is a style in Civil 3D for extended data management. It can be data for Civil 3D object, like networks, corridors, and for AutoCAD objects, like 3D solids, polylines. A lot of property sets can be created and customized for any use case and requirement.

Different types of properties are available-- manual, the classic one, and also using list of predefined values to force some attributes to get some specific values for some objects, some properties. Automatic properties based on default properties, like volume for 3D solid, for example. And we can also define some formulas using other properties to get more valuable information in the properties for each object.

Property set is part of the answer to help managing data for infrastructure project. But what is the current state of this topic for the infrastructure design companies today? First, owner's requirements are growing. Most of the tenders include BIM deliverables, and the requests are more and more precise. Of-- needs about data is specific to each project, and owners will have specific requests for different kind of usage.

And it's common to see the owner requirements changing or becoming more precise during the production phase. Engineering companies must be reactive to these owner requirements.

Second, engineering companies must face more complex projects, better integrated in the context, and demonstrating innovative solutions to reach sustainable goals. The number of files and objects is growing very fast, with many properties and data for each object in the files. With the evolution of the project, and the successive phases, there is always modification and updates of properties and data.

And, of course, to stay competitive, a high level of quality is non-negotiable. This means that engineering companies need automation and efficiency for data management. With those findings and needs, it seems essential to get an infrastructure project data management solution.

Standardized Data Tool for Civil 3D has been developed to facilitate data management in several Civil 3D files. SDT is an out-of-the-box tool for data management in Civil 3D. It's available for all Civil 3D users. It's based on the creation of a specific project for data management. This project is called a job.

We are going to say this word, job, a lot of times during this presentation. SDT provides features to perform easy and efficient data management and validation processes. Four main components are connected in a job. It's what we see on the right part of this slides.

First, on the top of the right part, job standards files. It's the template for property sets. Second, the middle of the right part of the slides, set of Civil 3D files. It's the group of working files-- Civil 3D files. We have also, on the bottom, the job data file. It's an Excel file connected with a group of working files, and the job validation reports available in Excel format or HTML format.

SDT provides specific functionalities to help the most time-consuming manipulations-- pushing property sets from the template to the working files, after any modification of the templates, with the ability to address a lot of the DWG files in one manipulation. Attach properties to objects in the working files to be able to address a lot of objects in each DW files-- DWG files, sorry. And add values to properties on each object and entities.

The connection with the job data file-- it's the Excel file-- is extremely powerful. It's a bidirectional exchange between a selection of objects and entities in several DWG working files, and the Excel files. All the relevant features-- all the advanced features of Excel can be used to perform any control, addition, automatic filling of cells in the Excel.

The validation [AUDIO OUT]

--it includes default controls already set in the tool, like file name, property, blank fields, et cetera. And any customizable analysis for any specific checks.

Let's look at the user interface of Standardized Data Tool. All the SDT command, all the SDT features are available in the Civil 3D ribbon after SDT installation. We have here the screen capture of the ribbon in-- from Civil 3D. The main commands are displayed in colors on these slides. In blue, the command to push property sets from the template to the working files.

In yellow, the command to attach the property sets to object and entities in each DWG files. In purple, here, bottom left, command to edit and copy data to properties attached. It's tools to help to manage the data on each objects. In green, data synchronization with Excel with the job data file. And in red, the validation report.

You can see that there is two buttons for most of the commands. It means that each functionalities is available for one file, or for batch treatment applied on a selection of file, or on all the files attached to the job. There is also specific windows for creation and addition of the jobs, and navigation in the jobs, and in all the files attached to the jobs.

Let's see some screen captures of the most used windows of Standardized Data Tool. Here, for example, on the left, the Job Explorer, we can select the collection. A collection is a group-- it's a group of jobs. With the menu, we can select a specific job using the menu. And in a specific job, we can see in the last part, in the bottom of this window, the list of all the DWG files connected to the job.

On the right, the Batch Update Standards window, it's to copy automatically the property set from the template to the working files in the job. It's very easy. You select the job you want to use. You can use all the DWG, or you can select some DWG in the jobs, and you update to push automatically the property set on all the DWG selected. Next one.

Here, it's the Batch Attach Extended Data. It's meant push the property set from the DWG to the object and entities in the DWG. It's the same. You select the collection, the job, select some DWG, if you want to use some only, or all the DWG. And you can select some entities by types. You can select a networks, section, corridors, et cetera. And for AutoCAD, you can only select some specific types of objects-- like solid 3D, for example-- and you apply, and close to have the process running as a batch treatment.

And the last slides for this section is about the batch synchronization data. It's the connection with Excel. And here, always the selection of the job and DWG files. And on the right, you can see that you can select the direction you want to go from the DWG to Excel, or from Excel to DWG, and if you want to fill only the blank fields, or if you want to push all the data in Excel. Now we are going to see the process analysis with Alexis.

ALEXIS MERESSE: All right. Thank you, Vincent. So let's see what it looks like when you process with or without SDT. So, just first of all, we consider the input as model 3D object, like pipe structures, 3D solids exported from corridors, 3D blocks. And all your design has been done using the Egis standards. I'm talking about file, layer, and object naming rules, the assembly, and old [INAUDIBLE] styles.

So we apply property set by domains on one file at a time. By domain property set, I mean applying object-specific information. I don't want to find property set of drainage on a pavement structure file, for example. Then this information is filled manually, semi-manually, with a list, for example, or with an automation-- Dynamo, why not?

Finally, we export the IFC, and we use the IFC Model Checker that Egis developed to validate if requirements are met. If it's not, a previous task need to be repeated. So that's what a normal process looks like for property set.

However, there are a number of problems with this. First one is, we need to do this for all your file, and for all your disciplines. And obviously, it's not possible to fill all information manually. There is too many objects. We therefore have to develop a script to do this for us. But they remain specific to the owner request. They are not often applicable to another one.

Finally, validation takes place after the IFC export, and not before. They are time-consuming steps that has to be repeated in the case of reworks. What about SDT, now?

Of course, all the input are the same as current process, but there are three main benefits. First one is, the property set can be attached, several files at once. Then the synchronization with Excel allow you to fill in properties for all your objects in one sheet. Then the validation is done before the IFC. So, in the end, Standardized Data Tool seems to meet all your needs.

And now, to illustrate this new process, and highlights its offers, I would like to present you a use case Egis. And for that, here, French highway project that we use for many proof of concept, mainly on BIM processes, modeling, BCF, communication, virtual reality, and augmented reality on-site. It's a widening project to four lanes over 16 kilometer long, with two main interchanges. It's [INAUDIBLE] includes many road crossings.

It was designed for detailed design phase, and therefore with a particular precision on assemblies. Here, here are a few figures. So 70 corridors for manual local roads, safety and protection equipment access services. And what about drainage? 80 pounds, and so many drainage elements.

The project was designed following Egis standards, and it was divided into sectors and exchange point to facilitate teamwork, and avoid excessively large file. It means one interchange is translated by one file. It's the same for roundabouts, and we try to limit the corridor for data design to 10 kilometers, no more. This is, of course, made possible by the data shortcut.

All your design and deliverables are also divided according the Egis directory rules by domains. This means that the C_Civil only contained files relating to platform, and D_Drainage only for drainage element, and so on. [INAUDIBLE] can contain subassemblies. For example, a road corridor can deal with main, local, services access road. It's why the 3D solid are exported following subdiscipline rules. So here's what's the current state of the project look like.

Well, we know very well that the life of a project can be marked by certain requests, and also we have a project that was almost finished. We suddenly receive a request from your owner that was not initially planned. He asked us to classify highway project data according to his own classification rule. It's his classification codes, each element by disciplines, or by domains, using seven levels.

But this problem, it's that there is file-- the file had already exported, and the quantity of information to be filled in was too large. [INAUDIBLE] apply seven levels, 240 categories, over more than 12,000 solids, but we have to make it. This is the target. And, for the next slide, we will see if SDT will make it happen.

First, let's start at the beginning by translating this classification received into Civil 3D property set. It's relatively simple, and there is no real value to present it to you, but you should know that we use lists. Why? It's because they follow the format of value. That is, I wouldn't be able to field anything different from what is required. Therefore, six levels were created, and least have been associated. Finally, the last level concatenate the previous ones with a simple formula.

Something else that will be very important later on. So we have chosen to set the default value to triple H for-- it's for quick identification. So now, our property set are created-- our template. And how do we apply them on file? Because if you remember [INAUDIBLE] process, you have to do it for each files. Certainly with editing, it's much simpler, because it just mean seven jobs.

So all I have to do now is associate the file with the jobs, and it's so simple. For the next few slides, I'll show the process using the pavement structure solids. This process is, of course, the same for the other disciplines. Just need to go to open the Job Manager.

You see, all the jobs have been created can be found here. Select your collection platform, and add models. Now go to the folder regarding minerals, solids, and that's them. Finish and close. If it's red, there is no issues-- green, no issues. Red means there's issues with one model file. And yellow, it's the file are not saved into the jobs. Now, the files are linked to the job, but property set are not attached yet.

It's a batch attach, extended attach-- command. I select my collection, my job, and I select File. I'm about to choose different object types. But here, I'm talking about platforms, so I will take solids.

So let's now see if-- properties that have been attached. Open the Job Explorer. It's like a quick access. Select your collection again, and your job. And you're able to open directly the file with this window.

I select, randomly, solids. Go to Extended Data, and they are here. So now, I can fill the information using list, but the number of solid is far too high. I could develop the Dynamo script, but it will be very specific for this case, and it will require a bit of time, and I'm a little bit lazy.

Vincent said that the property set could be synchronized with Excel, so let's do it. I will use Batch Sync Data command, select my collection, and my job, and the files. As mentioned, there is deferral synchronization option. Here, just want to push all attributes into Excel file. So we keep this one, and overwrite all data.

Have access, also, on my custom classification. It's the owner classification, But also able to use property set-- automatically apply when the solid 3D is exported from the corridors. Yeah, it's done. We can open the Excel file now.

Can you see that? All tabs correspond to different property set for all the objects object-attached in the job. I have also access to the owner property set with the default value, triple H. So now, how do you are feeling the values now?

Let's look for a match-- magic logic to fill the Excel fields. Going back to the classification, the terms don't correspond in any null values in the files. But, however, with the platform disciplines, we can see that the clients cat correspond to the shape code. It's why I'm going to translate it using the Egis standardization shape codes.

These shape codes are also in the 3D shape model property set here in red. And the object name is shared between all the property set, and therefore, on the owner property set-- in green. So all you have to do now is to match shape code, the object name, and the owner classification. And the Excel function that meets this need is the VLOOKUP formula.

This function is one of the most popular in Excel, and helps you to find things in a table or a range by row. That's what it looked like. So I copied the file, as not to compromise it-- compromise the file structure. Now it's written in red. I think it's because it's important.

So here, the owner property set, still with the default value. Here, the shape code, what I want to add in my property set, the object name. And I will use the VLOOKUP formula to add the shape code phase to the object name. And I extended.

Add a tab with a translation of the owner codification, and I will do the same formula on level one to six to match the shape code within the owner codification. And it's done. So I do this for the other job using different coinciding parameters. For example, I use the layer name for safety equipments. I use the subassembly name for longitudinal drainage element, like channels.

And finally, for the piping structure, I just use the object types. So now, I copy level one to level six, and paste it into the Excel use for the synchronization. I use the same command, Batch Sync Data-- my collection, and my job. But here, I prefer now to push Excel attribute to Civil 3D, like import. I select Overwrite All Data, and I leave the other property set checked because they haven't been changed, anyway.

Now let's have a look if it's good. [INAUDIBLE] Going to the Job Explorer. And [INAUDIBLE] directly on this file-- on this window. I select, randomly, solid, go to Extended Data, and you will see that information are now filled in.

But did I work properly? Did I miss field, or did I make a mistake in my formula? That's the purpose of various validation jobs. So this validation job allows you to perform validation based on criterias. In this example, I just want to check if they're still triple H. My collection, my job, again.

And I will try the first validation job on the first files. I don't need to use prebuilt check here. In fact, what I want to use is a placeholder value. Just fill triple H here, and next. Don't need a slow custom check, and I prefer to have an HTML report.

I can open it now, and go to the second tab, which-- regarding my files. Go down to the placeholder value region. There is more [INAUDIBLE] 1,000 issues. In fact, if you divide it by 7-- seven levels-- it mean 80 solids with a problem. In fact, I know where is my issue, because my model contains longitudinal drainage equipment, and either only processes the platform. No matches were found with them. So it's quite normal.

I had seen in the Excel, but I had deliberately left the error to-- so-- to see them on the validation jobs. So now, I can fix my mistake directly in Excel, and re-import it, or just use an AutoCAD Lisp routine to select, and zoom in the object to see what is wrong.

So times do not permit, but here are some other validation jobs that have been carried out to ensure that the data is correctly filled in. The first one is check if level 1 is different to A, but you also do some custom check for the design. For example, if a solid is under or equal to 0, if a type slope is under 5%, and if the structure is part of the customer catalog, and many, and many other.

So property set were created, attached, synchronized with Excel, and finally validated. So we succeed in meeting the owner expectation. So it's a total success. Now, take a closer look to the RoI.

VINCENT FREDON: Thank you, Alexis. Let's evaluate what's the benefit of using Standardized Data Tool. As Alexis explained in the detail of the use case, Egis has a current process to manage data on such a road project. Using Dynamo and a model checker-- internal model checker-- the quality of the result is already optimum for Egis. In any other context without an existing methodology, SDT brings automation and efficiency for data manipulation and validation. It can increase significantly the quality of the deliverables for any Civil 3D project modeling.

For the Egis use case, let's focus on the time spent with the current process, and with Standardized Data Tool. Here on the slide, there is a reminder about what has been used for the use case-- 14 files for road platform design with a lot of solids inside, five files for road equipments, and 43 drainage networks with a lot of pipes and structure inside. Then it's really to highlight the quantity of files, and quantity of objects inside-- on the left, the current process, on the right, with SDT.

With Alexis, we did an estimation of the time for the main tasks-- main step of the process. Then on the left, property set creation, about two hours, property set application to DWG in objects, about one day, and probably the most consuming task, data applied on objects. Here, there is a Dynamo script creation for the specific use case, one day and a half, and play Dynamo using the Dynamo script on each files about half a day.

IFC export, one day, and IFC model checker by Egis, one day. We are about one week, five days for this process. On the right with SDT, we have the same time for property set creation-- two hours. It's not the most consuming tasks.

Two job creation, batch attach extended data, then the functionality-- the specific command and functionalities of SDT-- very fast, about 30 minutes. Excel, the synchronization with Excel-- probably the most powerful features in SDT, synchronization in Excel, Excel manipulation, and back to the object in the DWG files. Half a day to perform this.

Validation tool in SDT, half a day. And here, we have mentioned, based on the model checker capabilities. We mean staying on the same level of validation that the model checker used today in Egis. We know that we can do more with customized checks with this tool.

And the last part, IFC export is still the same, one day. There is no specific functionalities for this. The result is very low compared to the current process, two days and a half. It means the gain is 50% on the time spent for this process. Then the benefit here is really clear about the gain of using Standardized Data Tool.

To know more about SDT, there is some existing resources accessible. Here, on the left, there is an Autodesk page dedicated to Autodesk interoperability tools with a specific part for Autodesk Standardized Data Tool for Civil 3D. You will find also other parts for the other tools provided by Autodesk, but here you will find all the resources available for SDT.

And, among those resources, there is one YouTube playlist where you will find some very nice short videos to explain how SDT works. With this, you can learn SDT. It's very easy, very well done.

And this is a tip and tricks. And Alexis mentioned the need to use a specific idenficator for each object to find this object in the DWG file to check what's wrong when the validation report tells that there's something wrong on an object. There is one command you can use-- an existing command in AutoCAD you can use to do this, and it's available also in the Autodesk Network Knowledge page.

ALEXIS MERESSE: Oh, OK. Thank you, Vincent. So now, let's conclude.

VINCENT FREDON: Then, after those implementation tests we did with Alexis, we can say that this first evaluation is successful, and we have a clear ROI here. It's about a time span on the process. It's really clear. We can say that SDT can reduce the time spent on this process by 50%.

We called a colleague from Alexis, Luis Fernando in Egis Brazil, because he is also using SDT, and I think he was using SDT for about two months. And it was really interesting because his feedback was very similar to what we conclude with Alexis. Of course, what Alexis explained is one specific use case, and we can imagine a lot of different use cases developed with Standardized Data Tool using a lot of different objects, networks, corridors, surfaces, feature lines, anything.

And it's about manipulation. It's a tool, user-friendly, and quite flexible.

ALEXIS MERESSE: Oh. Yeah, and I would like to add that the standardization applied by Egis is perfectly in line with the STD process. It's a very important point. So we identify also a few ideas that could be developed further. Firstly, we talk about that, but the object number link Excel and validation jobs is not very integrated. You need to lose-- to use a list routine, or something else. Then the connection with ACC is currently not operational, but I hope it will be soon.

It will be nice, also, to able to save a custom check of validation job-- regarding a specific job. It means create a custom check one, associate to a job's one, custom check two a job two. And then I think it will be interesting to look into the BSDD. And finally, I think the integration of BCF could be good for the [INAUDIBLE] between the person who validates, and the person who designs. Thank you very much.

Downloads

______
icon-svg-close-thick

Cookie 首选项

您的隐私对我们非常重要,为您提供出色的体验是我们的责任。为了帮助自定义信息和构建应用程序,我们会收集有关您如何使用此站点的数据。

我们是否可以收集并使用您的数据?

详细了解我们使用的第三方服务以及我们的隐私声明

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

通过这些 Cookie,我们可以记录您的偏好或登录信息,响应您的请求或完成购物车中物品或服务的订购。

改善您的体验 – 使我们能够为您展示与您相关的内容

通过这些 Cookie,我们可以提供增强的功能和个性化服务。可能由我们或第三方提供商进行设置,我们会利用其服务为您提供定制的信息和体验。如果您不允许使用这些 Cookie,可能会无法使用某些或全部服务。

定制您的广告 – 允许我们为您提供针对性的广告

这些 Cookie 会根据您的活动和兴趣收集有关您的数据,以便向您显示相关广告并跟踪其效果。通过收集这些数据,我们可以更有针对性地向您显示与您的兴趣相关的广告。如果您不允许使用这些 Cookie,您看到的广告将缺乏针对性。

icon-svg-close-thick

第三方服务

详细了解每个类别中我们所用的第三方服务,以及我们如何使用所收集的与您的网络活动相关的数据。

icon-svg-hide-thick

icon-svg-show-thick

绝对必要 – 我们的网站正常运行并为您提供服务所必需的

Qualtrics
我们通过 Qualtrics 借助调查或联机表单获得您的反馈。您可能会被随机选定参与某项调查,或者您可以主动向我们提供反馈。填写调查之前,我们将收集数据以更好地了解您所执行的操作。这有助于我们解决您可能遇到的问题。. Qualtrics 隐私政策
Akamai mPulse
我们通过 Akamai mPulse 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。. Akamai mPulse 隐私政策
Digital River
我们通过 Digital River 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。. Digital River 隐私政策
Dynatrace
我们通过 Dynatrace 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。. Dynatrace 隐私政策
Khoros
我们通过 Khoros 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。. Khoros 隐私政策
Launch Darkly
我们通过 Launch Darkly 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。. Launch Darkly 隐私政策
New Relic
我们通过 New Relic 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。. New Relic 隐私政策
Salesforce Live Agent
我们通过 Salesforce Live Agent 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。. Salesforce Live Agent 隐私政策
Wistia
我们通过 Wistia 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Wistia 隐私政策
Tealium
我们通过 Tealium 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Tealium 隐私政策
Upsellit
我们通过 Upsellit 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Upsellit 隐私政策
CJ Affiliates
我们通过 CJ Affiliates 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. CJ Affiliates 隐私政策
Commission Factory
我们通过 Commission Factory 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Commission Factory 隐私政策
Google Analytics (Strictly Necessary)
我们通过 Google Analytics (Strictly Necessary) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Strictly Necessary) 隐私政策
Typepad Stats
我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

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

icon-svg-hide-thick

icon-svg-show-thick

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。