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Sustainability and Impact: Expediting the Design Technology Journey to a Net-Zero World

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说明

This session will address the challenge of developing a vision and a strategy for lifecycle carbon credits to achieve net-zero carbon across any company's project, and on smart buildings globally. We'll cover the implementation of carbon-neutral standards and workflows to create a performance-based center of excellence that strives to build a better world. The focus is to streamline the process and evolve a sustainability impact program. We'll demonstrate processes for data extraction and show how to develop a proof-of-concept and visualize metadata through the Autodesk Insight data connector. We will demonstrate construction coordination and design solutions. We'll also cover the development of training modules to build awareness to scale the proof-of-concept on sites across North America, Europe, the Middle East, and Africa, and Asia Pacific. Finally, we'll highlight the sustainability impact of net-zero smart factories and data centers.

主要学习内容

  • Learn about developing a lifecycle carbon credit vision and strategy to achieve net carbon zero across a company.
  • Learn about streamlining the workflows and process and evolving a sustainability impact program.
  • Discover the sustainability impact of net-zero smart factories and data centers.
  • Learn about implementation of AR/VR to improve the construction program in smart digital factories.

讲师

  • Ravi Wood
    Ravi Ray Wood is an Expert BIM Manager in Architecture with projects across USA, Canada, Europe, Middle East, Singapore and India. He specializes in BIM execution and implementation across large scale projects including Infrastructure, Residential, Hospitals, Commercial and Retail. His astute acumen and proven track record in handling large teams to optimize resources and successful deliver BIM projects has helped projects become more profitable for both the clients and companies. His passion to Innovate new processes and technology in BIM continues to help transform challenges to opportunity and problem to successful solutions.
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Transcript

RAVI CLARENCE WOOD: Welcome, everyone to AU 2023, and we are here. I really appreciate all of you guys who are coming to watch this presentation. This is going to be fabulous. And with that note, today, I just wanted to get you guys started on the presentation. The topic of the presentation is sustainability and impact. How can we expedite to a net-zero world together using design technology? And what that journey looks like, that's what we'll be talking about.

With that note, we'll get moving, and we'll get to the next slide, a safe harbor statement from Autodesk. Just wanted to make sure that we go through this. Moving on to the next one-- as I said before, today, we'll be discussing how we can expedite the journey to a net-zero world using design technology. And wanted to thank a couple of my collaborators Vaishali Aggarwal and Clinton Giles. They have been instrumental on this presentation and wanted to convey my gratitude to them.

A little bit about me-- I'm going to bore you guys to death for the next 30 minutes or so, so you might as well know a little bit about me. I just wanted to say thank you again for joining me here. I was also-- I've been a speaker at AU for the last eight years. I was a top-rated speaker in 2019. Will give you a glimpse of what that presentation looked like as well.

Also, the top 10 article in AU '21. I've also spoken in Hong Kong BIM. I've also been a speaker at RICS IFMA in Sweden in 2017. I was also a speaker mentor for the last three years at AU, so it's a very elite group. We help other speakers as well to be successful. And I really enjoy helping others and mentoring others. Also being a BIM manager and being in this field for the last 15 odd years.

With that note-- but that's not the real me. The real me is somebody who likes to have fun with my pet, my family pet. And his name is [INAUDIBLE]. And I also like to be as good for the community as I can. I'm really, really passionate about working with Knights of Columbus, Saint Jude's, Humane Society, and so forth. So anything that I can serve or help you guys, just let me know.

Why I chose this topic is pretty important because it's very close to my heart. I come from a small town in India originally. And the only thing that people know that town for is-- the name is Bhopal. And if you Google it, the only thing that will come up is there was a gas tragedy in 1984.

And luckily, our family was on the other side of the town, so we got saved. But I just wanted to bring the why of what we are trying to achieve today in understanding net-zero world and sustainability is when things are not done right, they can go horribly wrong.

The tragedy killed almost 50,000 people in a single night. So we want to do things right. We want to progress with technology. But we want to make sure it's sustainable. And this is the why that I wanted to present today.

With that in mind, I wanted to turn the leaf and basically, turn the page and take us to what we are trying to share together in terms of learning objectives. I'm going to learn something from you guys as well. And hopefully, all of us can learn from each other because that's what AU is all about-- learning from each other. That being said, the next slide is probably one of the favorite things I like to talk about is we'll be talking four chapters at length. And each of them-- I call them the RAVI process.

To give a little bit of background, in 2019, I gave a presentation. And I had-- it was about how to make BIM more efficient and profitable. And it had four chapters. The first one was R for reconnaissance, second A for automation, V for visualization, and I for innovation. And that class, I didn't expect that it became a top-rated class. So I thought, why not this year do a Ravi 2.0 for sustainability. And with that thought in mind, I came up with some chapters and some learning points, hopefully, some take home messages for each one of us.

The first thing we'll try to go through is about renew. It's about how we can learn to develop a life cycle of carbon credit vision. Basically, how we can set up a strategy of net-zero world together. I often use this word "together" because there is-- we are all in this together. And I really believe that any success only comes from collaboration.

That being said, the second chapter or the second part of the presentation would be learning the workflows and the processes and how we can streamline them to evolve a sustainability impact program. That I have called A for articulate-- how we can articulate our thoughts, how we can articulate our processes to achieve the maximum success. So that's articulate.

And then the third is V for virtualize. This is probably my favorite for this presentation because we are going to talk a lot about AI in this part of the presentation and how it impacts us today because we are all in this time where everyone talks about artificial intelligence and where we are going towards in the future. We are going to try to learn how using AR, VR can help build a strong, better future for all of us.

The last part is the impact. All that we do and all that we try and do, what kind of impact it will have on the future, how we can build a better future together for our future generations. So that being said, I've also placed a link of the class from 2019, which was a top-rated class, the Ravi 1.0, if I may. And this is Ravi 2.0. So with that thought in mind, we'll get started.

So, R for renew and how to have a net-zero carbon footprint. The first thing to understand is what is net zero? I mean, we've all heard this term. We all know zero comes from an innovator in India. So what is net zero? I mean, the real-- the numerical 0 comes. The net zero, simply put, refers to the balance between the amount of greenhouse gases that are produced and the amount that's removed from the atmosphere.

We all have learned this in school. So it's how we can basically-- what we give as waste or what we do wrong to the-- and harm to Mother Earth, how we can make sure that we do an equal amount of good. Essentially, if we do equal amount of good as much as we do harm, that's the net zero for us.

So with that thought in mind, a lot of companies these days talk about 2030 vision, 2050 vision, and it's like the same principle applies to making sure that there is a balance on Earth and making sure the carbon footprint that we leave behind is minimal. And at the same time, we are doing enough good to Earth as well. And why is it important? We have all seen how horrible things can go wrong if they are not done the right way.

With that in mind, the next slide talks about-- yes, we are going to talk about net carbon and net zero. But how does BIM and how does design and how what we do-- we are all like cogs in a big wheel if we put together this whole world. And with that thought in mind, how can we play our part in this? There are so many things happening all across the world. What is our value addition to the society when it comes to net zero?

The first things-- I believe today this presentation is going to reach out to a lot of architects, engineers, designers, BIM managers, technologists, IT managers. And all of us are trying to build and construct.

And the key thing is if we can have designs that are energy efficient, not just for today but tomorrow and 10 years from now, maybe 30 years from now, that's our contribution to the future. We can also make sure we help decide on the right materials. And we'll go more in depth about this in the coming slides.

How can we optimize the material selection and reduce waste? We're also going to talk about life cycle analysis of sustainable materials, making sure what we choose is for long period of time. Any building, it's not when it gets built or it gets handed over. Building has a longer life if we see. It's for 20, 30, 40 years. The bridges that we cross are hundreds of years old.

So that's the operations and maintenance part of what we build. And if we don't make sure that we are being efficient in the design process for the future, for the operations, making sure that stakeholder is taken care of, that's the key to being a good designer, a good architect or a good BIM person or good engineer. We're also going to see how we can integrate with the renewable energy sources so that we are using cleaner energy rather than fossil fuels.

All right, with that, we'll move to the next slide. Essentially, there are multiple facets of net zero. But when you're going to try to have that net-zero vision, it will always talk about reducing the carbon intensity and improving the energy efficiency. Because in a building, the amount of energy bills that we get, it's really a big component of our footprint that we leave behind or how we interact with the Earth and environment in general.

With that, the last part is going to be about sustainable technologies, how we can use different-- raise improvements in our technology as well as current strategies that we are using. How can we make it better? So we spoke about the efficient design part of things-- making sure at the onset of design itself we start using the right processes, the right materials.

Just to give you an example what efficient design means, let's say we are putting together a building, and it's going to be a glass facade. It's a high-rise glass facade building. And it really matters if it is in Phoenix or if it is in Alaska or if it is in New York or any other part of the world because the environment is different in each location. The design can play different in different parts of the world. So how we can harness and harbor on what resources we have available to make an impact? That's key.

Because we might be able to use the right glass material and reduce the energy consumption over the next 20, 30 years. Just by reducing the U value of the glass facade, it could really make an impact on how energy is being saved and consumed over decades and generations to come. So that's the first part that we will try to understand, as well in more depth as we go along.

But the second thing is reduce. We all want to believe in the lean part of design, lean part of construction. But it's always good to be less wasteful, I would say. Or it's best to be frugal. When I say frugal-- a decade ago, a couple of decades ago, construction industry was mired with construction errors. There used to be times when construction errors would cost 15% to 20% of the construction cost.

When we see that and when we see buildings or churches that were built 200, 300 years ago, which are still standing, what was being done different? I mean, those designs have stood the test of time. Those buildings look strong. When we go there, it's an experience in itself. So there is something they were doing correct in terms of design and construction that we need to reinvigorate amongst today's design processes.

I think one of the things that we'll also try to understand is the LC analysis. The life cycle of a material doesn't end when we build it or construct it. It's a life cycle across the next 20, 30 years as we looked into. And we'll also look into the operations part of things.

All right, so how can a net vision look like? Or what goals could somebody have as some designer in this field? A lot of corporates have tried to have 2030 vision. I think everyone has to define what it looks like for them, what they want to contribute into it. We want to be better designers. How better we want to be-- I believe-- these are the numbers that I believe that one should really strive for if you're a BIM manager.

From my perspective, I want to make sure that any building that I'm part of or a cog that I'm the cog in the wheel for, make sure that the construction error is less than 1% and that sustainable materials are being used. And operations-- there are no redundancies in the operations.

All right, that being said, this is a more interesting part for me. This is more practical stuff than the theoretical because here, we are going to talk about Autodesk Insight. This is a new program that Autodesk has. And what it really helps in is to do a building performance analysis. It will help us to discover intuitive, outcome-driven insight into energy and environment optimization from design to operation. It gives us real-time feedback. It helps us visualize and interact with key indicators-- performance indicators, factors and ranges to help make better design choices.

It's a complete integration of the workflows. It will help analysts-- the power to design from inception to the handover and beyond. It also helps capture the whole building energy. When you talk about building energy, it's not just what goes into the construction of the building.

But there are so many other facets to it-- how we can simulate with daylighting, how we can use the heating and cooling loads analysis to make sure that we are designing for the optimal goals that we set up. And Autodesk Insight I personally felt is a great tool for that. And I really recommend if you are trying to do that analysis, this is a great tool.

One of the other things it can do is energy modeling. With Insight, can help attract an energy storage experts to achieve sustainable goals. So I would highly recommend to go and look for Autodesk Insight.

That being said, the next slide talks about sustainability and design technology. And we saw a part of the Insight part, where a design of a building should be driven by location, the resources. The design options should be generated and generative. The key thing for me is any building should be resilient. It should-- often, life gives us very limited choices. We get restraints. But the true essence is about looking at challenges as opportunities in design too and making the most of those opportunities.

We'll also look into the data-driven part of design. This is really cool because we live in an age which is all about data mining. There's so much data everywhere as well. If data-driven architecture concepts is a distinct approach of developing and designing and constructing applications, that omits the conventional rigidity that we can just build for aesthetics. Now, we are more relying on function than the form itself.

With that being said, what is the data that we can get? It can be multiple-faceted, multiple-pronged data that we get. And how best we make use of it is critical. It goes from the phase of BIM modeling to clash detection, what kind of things are going wrong, and once we get that data, how we can pivot to do the right thing.

If we are getting too many change orders, that means that there's something being missed in the initial design. So we pivot. We do the right thing on the next opportunity. If clash detections are giving us a particular kind of clash on a repeated basis, that means we need to take the next step and go to the root cause and fix it.

The last key thing a design should achieve is efficiency, so it should be insightful. It should be data-driven. But the efficiency part is the key because it really impacts the bottom line at the very core of it.

All right, that being said, I think that was the first part of the presentation. We spoke about renewing our commitment to the net-zero world, to doing the right things. And now, we are going to go into how we can achieve that. There is a process with everything. There's a workflow.

But with these workflows and processes, what could happen is things can get confusing at times because everyone has a different style, their own way of doing things. But if we can harmonize it, standardize it a little bit, it really helps because then we are all on the same page together.

On that note, I hope you guys are with me together. And we'll go to the next slide, which is about the EC3 tool Life is all about choices we make. We can end up-- our choices decide a lot for us. So the right choice can make all the difference. The construction industry is the number one consumer of raw materials and is one of the biggest contributors to greenhouse gas emissions.

The EC3 calculator is basically a tool that has been developed by architects and engineers, different stakeholders so that we have a whole glossary of materials, and we can make informed choices, basically, selecting the materials with the lowest climate impact.

If we get two kinds of different concrete, but they can all do the same thing, but one of them has a lower footprint, why not do that? Let's do the right thing. Instead of looking for short-term monetary gain, one should kind of look into the long-term aspect of things-- how we can avoid the next tragedy the humanity kind of thing.

Now, with that being said, the next slide is going to talk about this program, which can help integrate BIM with the EC3 tool. And as you see, it's going to have it embodied within the program. So it's great. I really like it. And the thing is, this tool, what essentially the process is, when we have a BIM model for a building, we can do quantity takeoff. It can be at any stage of the project, even at the nascent stage.

We take the materials. We then go through the process of deciding what material has to be selected, and we get this glossary of materials. But we evaluate them based on the carbon footprint. And this is a great tool.

The way it works is we multiply the quantities with the carbon footprint that each element has. And then we'll get a total amount of carbon that is going to embodied in the building. That brings us to this aspect. What is embodied carbon, and what is operational carbon?

So we have been talking a lot about choosing construction-- we put bricks together, mortar together, everything. That's embodied carbon. But over the next 30, 40 years, that building is going to breathe and live and host life, and it's going to bring joys and great things to the future.

But during that time too, the building is operational, and it has a carbon footprint then too. So it's about the embodied carbon as this illustrates as well as the operational carbon. And the total carbon is sum of the two. So the intent of that database is when we are going to have so much material selection to be done, why not have the best material data available so that someone can make a good, judicious decision?

With that being said, this is how it looks like. This is actually a offshoot of the LCA tools that's available in ACC as well. And then it's an add in. And what we can do is we basically do the initial analysis. We take the quantities from the model. We multiply it with the footprint of each material, and we come up with the total carbon footprint. It's just like doing the cost of a project. But in terms of-- instead of dollars, here we are looking at what is the price we're going to pay for carbon footprint.

So essentially, that's what we saw. Take the material quantity, multiply it by embodied carbon per material, which is the EPD, and then we get the total. How we can utilize it effectively is basically, we can compare different materials and make sure that we are using the right one.

That being said, this is kind of a quick run through of EC3, but there's so many other tools available in the market. As well as, there's so much in-depth analysis that can be done. But the idea today is just to give you an overview that this is a possibility, and why not explore it. When we are-- because going that extra step might just make a big difference to the future.

So that being said, let's move to the next part, which is my favorite part, and it's about virtualization. So V for virtualization is going to be-- a lot of talk about AI is going on these days. AI, machine learning, we hear these buzzwords. But what it actually means for us-- what it means to the designers and how can we do it better, or how we can utilize it for our benefit, rather than getting behind the curve on that.

So AI models actually can simulate the results of a proposed change in a design or what impact a change or a design option can have, so we can make judicious decisions evaluating-- basically, AI can run all of that for us.

The system can make recommendations to correct, upgrade, or modernize, and offers advanced simulation capabilities. That's the great thing about it. Because a lot of computing-- even as designers, if you're going to take 10 months to do something and by use of AI, that design can come up with a more efficient design in two months, we might be saving a lot of effort.

The next thing-- this is more towards the operations part of things. But I did want to go in depth on this one a little bit because this is how can we use dynamic-mode monitoring and get those inferences through AI of the traffic volume. Let's say we have an airport, and 200,000 people go through the airport every day-- that kind of traffic volume. Or it could be a restaurant. How much would-- how many people are coming and going.

So that can decide a lot of energy consumption requirements for that place. So essentially, if all is driven by dynamic monitoring, we won't be having to do manual calculations and stuff. So AI models and machines learning can predict network traffic and adjust shut down times dynamically to extend savings windows compared to static schedules.

This is key because here, sometimes some of this doesn't get noticed, but AI is going to help first gather that huge amount of data using RFID sensors and different kinds of sensors. It will churn out the numbers, and then it'll give us the results of where we could pivot to make the most impact.

It can also help us focus on the outliers. When we get this bulk of data, we are not only just going to make insightful decisions, but we are going to leverage the data. It is also going to help us understand what are the outliers, what are the things we end up spending too much energy in which do not require that much focus?

One of the biggest thing people say is in construction time is money. Anyway, time is money. And we are all here spending time. But the time, in terms of construction, is about the scheduling part of the time as well. If a project gets done on time, it's profit. If it's not on time, then it can really mess up the things. So AI and ML can offer a range of benefits for construction scheduling, such as data analysis and integration.

It can help us plan for scenarios. It can help create mitigation plans. It can also run simulations of when, how, or option A, option B kind of thing. It can also collect, process, and integrate a large amount of data from various sources. That's key because at certain point, that amount of data gathering from a human perspective can get too cumbersome. And for AI, it's much more easier. It can also help analyze the data too from risk perspective and making sure we can avoid those risks.

That being said, we'll go to the next one. This is how it can all work when-- this is how it can all come together. If a project-- we have a [INAUDIBLE] schedule or we have a timeline for a project, then AI can actually-- if we give the constraints, that day is not far when it will start churning out the timelines for that for us. And we can monitor it like this person is doing on a giant screen and getting all that data, making inferences, making good, solid decisions.

For me, one of the things that I learned very early, and if you are going to a construction site, the primary thing, the first objective of the day is to make sure that everyone we go with goes back home that evening. And EHS, kudos to the health teams who work day in and day out on construction sites. They do a fabulous job. They are the ones who keep the place running and going and making sure that everyone is safe and gets to go home in the evening.

That being said, AI can really help in this aspect as well. It can do real-time safety monitoring. It can do predictive analysis for safety. It can do predictive maintenance for machinery, automated reporting if there's an incident. It's a near miss incident. It can all report in. And with that data, it can give us the inferences what needs to be done. It can also help us have prompt emergency responses.

So I really feel that having this artificial intelligence at the right places at the right times can really automate our safety alerts. We can also predict and make sure that we can prevent accidents. If we can do behavior analysis, we can do that too. It's a hazard detection in play, and it's better to be safe than sorry.

All right, that being said, we are on to the next slide, which is about circular construction. And basically, it's the circular aspect of our economy. We reuse. We refuse materials that are not-- which are like fossil fuels. We will reduce the consumption of things that we do not need.

We kind of stay minimal, and we reform, we reuse. We make sure that we recycle. And think those things really help because we're kind of making sure that we are staying on course for sustainable future for all of us and not being selfish and just doing it for ourselves.

It is key because we are all-- we all know about global warming. We all know that there the more hurricanes and tornadoes now. So why not do the right thing? And also, I think there's a lot of work being done in this field to harness the power of AI to generate data, which can help us predict climate changes, prioritize diversity, and making sure our air is cleaner and water is better.

So that being said, we come to the last part of our presentation, which is the impact. And I know we spoke a lot. We looked into a lot of things. I did wanted to go over one other thing before we go further on this [INAUDIBLE] reducing our footprint. One key example, we all are using so many gadgets and laptops and phones these days. And it is important. We are going to throw them off. We are going to get new ones.

But the key thing is I hope someday, we can, using AI and blockchain, create an environment or have a blockchain where people who are looking to change their phones or iPads or computers can provide it to someone who is in need and who is not able to afford that probably in the third-world nation, maybe in Africa and India. That blockchain can help provide the used electronics rather than those going into waste, which will take generations to be recycled. I think that's a good way to live in being minimal and reducing our footprint.

One of the other things I wanted to showcase is that this is a great slide because it talks about if we do the things wrong, we'll be in the bottom right corner where it says if everyone is for themselves, we could be barren and arid, and it will be not a pretty sight, I'm pretty sure. And then if we do minimum things-- we just get by-- we may or may not have a better future.

We may, if we really do the right things and we're talking about sustainability, it will be great, but we may not have great progress. But I think if we do it in a planned way and we can have a sustainable-- it's a race for sustainability-- as well as in a planned way that we do not compromise on the progress, then we might have a win-win situation from all sides. So I think that will be a great thing to happen.

So on the same note that we started, our role is to make buildings. And if we do these things, and hopefully, we all can use design technology to make better buildings and make better infrastructure for all of us. Hopefully, it will all contribute to making a better Earth and more sustainable future.

On that note, I just wanted to give a big thank you to my mentor, Deepak Mani, everyone-- all my friends and colleagues who I work with, a big thank you to Matt Murphy and especially to Janice Miller Kellerman from Autodesk. I really appreciate the entire AU team. On that note, I just wanted to say thank you, and have a great day ahead. Thank you.

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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

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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。