ChatGPT 助力暖通空调技师更快诊断问题并保持竞争力——吉姆与约书亚 第一部分

直接从厂家购买空气过滤器确实有不少好处。

Purchasing air filters directly from the manufacturer definitely has its perks.

Factory Direct Air Filters 不只是卖过滤器，他们自己生产 Aerostar 品牌的空气滤芯。

Factory Direct Air Filters doesn't just sell filters, they manufacture the Aerostar air filter brand.

也就是说，你绕过了中间商。

So basically, you're cutting out the middleman.

如果你管理多个房产或者有商业服务合同，他们提供批量折扣，同时也支持批发价。

If you manage multiple properties or commercial service contracts, they do have bulk discounts, but they also offer wholesale pricing as well.

他们库存稳定，标准尺寸两天内就能发货。

They've got consistent inventory and standard sizes shipped within two days.

他们也能按定制尺寸生产，大概五天内就能搞定。

They also do unique sizes to spec, and that's within about five days.

全美范围内都免运费。

They have free shipping across The US.

所以如果你想更快、更便宜地买到按需求定制的滤芯，就去 factorydirectfilters.com。

So if you guys wanna get your filters faster and cheaper and built to spec, factorydirectfilters.com is the place to go.

大家最近怎么样？

What's up, guys?

听我说。

So listen.

人工智能，简称AI，其实能在我们工作中帮上大忙。

Artificial intelligence, AI for short is what we call it, it can help us in the field.

很多人一直在争论，AI会不会抢走我们的饭碗。

There's a lot of people that have debated whether AI is coming after our jobs.

但现在可以肯定的是，它还不会爬到屋顶上去换你的压缩机，诸如此类的事它还干不了。

And right now, I think it's safe to say it's not climbing on the roof to change your compressor, blah blah blah blah blah.

目前它确实干不了这些。

It's not doing that right now.

也许将来某一天，谁说得准会发生什么呢？

Maybe one day in the future, who knows what's gonna happen?

但至少现在还做不到。

But right now, it's not.

所以我们可以把人工智能当作一个工具，帮助现场技术人员提高效率。

So we can use AI as a tool to help us in the field to be a more efficient technician.

在这期播客里，我请到了约书亚·苏德斯，还有科兰德公司的吉姆·富尔茨。

So on this podcast, I have Joshua Souders, and I got Jim Fultz from Copeland.

我们会聊聊人工智能怎么在实际工作中帮到技术人员，让我们的工作比二三十年前更轻松、更高效。

And we're gonna have a discussion on how AI can help a technician in the field, like, practically, and make our jobs a little bit more easier and more efficient compared to twenty, thirty years ago.

好了，接下来就请约书亚和吉姆从科兰德来跟大家聊聊。

So let's get into this, guys, with Josh and Jim from Copeland.

欢迎收听《 HVAC 全知道》播客，我是主持人加里·麦克雷迪。

This is the HVAC Know It All podcast, and I'm your host, Gary McCreadie.

欢迎来到《HVA C全知道》播客。

Welcome to the HVAC know it all podcast.

本期节目录制于加拿大多伦多某处的地下室。

Recorded from a basement somewhere in Toronto, Canada.

你的主持人、暖通空调技术员加里·麦克雷迪，将带你们深入探索这个行业，聊聊所有与暖通空调相关的话题。

Your host and HVAC tech, Gary McCreadie, will take you on a deep dive into the industry discussing all things HVAC.

从故事讲述到技术探讨，敬请享受本期节目。

From storytelling to technical discussion, enjoy the show.

Cool Air Products推出的Combat P型冷凝水排水系统，通过独特的药片投放方式，持续保持排水畅通。

The Combat P trap condensate drain system by Cool Air Products achieves constant drain flow maintenance through the unique condensate drain line tablet dispensing method.

这套由技术人员设计、专为行业打造的机械系统，结合了P型弯管和药片这两种成熟技术，能有效预防排水管堵塞，既实用又经济。

This mechanical system designed by a technician and for the trades uses known technology of p traps and tablets and is ideal and cost effective for preventing drain line clogs.

不妨了解一下Cool Air Products的Combat P型冷凝水排水系统。

So check out the Combat p trap condensate drain system by Cool Air Products.

好了，各位。

Alright, gentlemen.

AI这个话题，容易引发争议。

So AI, it's a topic that can be controversial.

它很容易让人立场对立，情绪激动。

It can be polarizing, heated.

有人喜欢，有人狂热追捧，有人坚决反对，也有人根本搞不懂它。

There's people that like it, people that love it, people that hate it, and people that don't understand it.

那我们来聊聊AI，看看它能怎么帮助暖通空调行业的专业人士，顺便也说说科兰德在AI方面做了些什么。

So let's get into this and talk about AI and and how it could help the HVAC professional, and we can talk about what Copeland's doing from an AI standpoint as well.

吉姆，这个问题我先听听你的看法。

So, Jim, I'm gonna start with you on this one.

你对AI在行业中的应用，最初有什么想法？

Give me your sort of initial thoughts on the whole AI thing as it pertains to the the industry.

谢谢你们今天邀请我们来参加。

Thanks for having us here today.

是的。

Yeah.

不客气。

Not a problem.

这活动太棒了。

This is this is awesome.

确实，最近大家对AI的讨论特别多。

And, yeah, AI is something that there's been a lot of talk of it lately.

总的来说，根据我听到的行业看法，技术人员完全不用担心会被AI取代，这份工作始终都需要人来做。

And and to summarize what I've heard as far as the an overall view of the industry, technicians don't need to worry about being replaced by AI, that the job is always going to be there.

现场的实际操作，还得靠人亲自动手。

We need the hands in the field to actually do the work.

我之前今年春天参加的一个活动上，听到一个关于办公室里AI应用的比喻，想跟大家分享一下。

And I heard a I'd give a quote here of a show that I was at earlier this spring as far as AI within the office setting.

原话是这么说的：办公室人员不用怕被AI取代，但得小心别被那些懂得怎么在办公室里用AI的人甩在后面。

And and it it went like this, that office personnel do not need to be worrying about being replaced by AI, but they should be concerned about being replaced by others who know how to use AI in the office setting.

AI是我们每个人都将看到、受益并接纳的技术。

AI is something that we are all going to to see, to benefit, to embrace.

说到技术人员这一块，我最直接的理解就是：AI有多好，完全取决于你给它输入什么。

As far as the technician side of things, the clearest way that I can describe AI is just simply like this, that AI is only as good as what goes into it.

举个例子，如果一台炉子报了个故障代码，显示限位电路有问题。

And and my example is if there's a furnace that has a code that says the limit circuit is defective.

这时候如果技术人员去问AI，而AI只被训练过火焰旁路故障这一种情况。

Well, if a technician asks AI and the only thing that AI got input into it was a flame rollout.

他们看到这一点。

And they look at that.

他们会说，嘿。

They're gonna say, hey.

我知道问题出在哪了。

I know what the problem is.

你知道的，限流电路坏了。

You know, the limit circuit's bad.

问题是，他们没意识到那个限位电路可能是因为空气滤网太脏、风机故障，或者一大堆其他原因才断开的。

Well, what they don't realize is that that limit circuit could have opened up from a dirty air filter, from a fan blower that that failed, from a whole bunch of other things.

所以从AI故障排查的角度来看，要把这些信息全部录入AI，让它真正变得有价值、能用得上，还得花上好几年时间。

And so from the AI troubleshooting side of things, it's going to take a number of years for all of that information to be input into AI for it to be valuable and usable in that type of aspect.

话虽如此，我得补充一点：那些已经投入了大量时间和专业知识开发的AI工具，其实现在市面上已经有了。

Now, that being said, I'll finish this up here with the fact that any piece of AI that has had the time and knowledge put into it, those pieces of AI already, and they already exist in the field.

我们待会儿会分享一下关于Copeland应用的内容。

We'll share, I think, a little bit later with Copeland app.

这些信息能提供更精准的反馈，给技术人员可靠有用的建议。

All that information in there is going to give a lot more accurate response and give good credible information back to the technician.

乔什，我马上跟你聊。

So, Josh, I'll get to you in a minute.

吉姆，你刚才说办公室人员可以被懂AI、会把AI融入日常工作的员工取代，我想再补充一下。如果这个人能把工作做对，不仅能让自己更高效，还能让整个团队——从调度、报价到及时回复客户——都更顺畅。

I just wanna follow-up on what you said there, Jim, about the office staff can get replaced by people that know and understand AI and how to implement it into the tasks of the day because what that person is now doing, if they do it correctly, is making their life more efficient, and it's making life more efficient for everybody else that is part of that team from dispatching to quoting to getting back to customers in a timely manner.

我以前在一家大公司干了很多年，忙起来电话就没停过，一直响，一直响。

I worked for a big commercial company for many, many years, and the phone on busy days constantly ringing, constantly ringing, constantly ringing.

接线员一边接电话，另一边还得跟技术人员沟通，一整天都是这样。

And the dispatcher is picking up the phone, but she's got a she's got another phone that she's talking to tech and it's it's like this all day.

像这种事，AI就能帮上忙。

So AI can help with stuff like that.

我们现在已经有能接电话的AI了。

We have AI that can answer phones.

它能自动回应。

It can respond.

它还能安排工作。

It can schedule jobs.

这些事它都能在后台搞定，客户那边依然有人在服务，这么说吧，是在AI的世界里。

It can do all this stuff in the background where someone that's doing this, there's still customers being taken care of in the AI universe, if you will.

我就是想赶紧提一下这一点，然后接着听Josh说。

So that that's just I just kinda wanted to touch on that point quickly before I went to Josh.

Josh，你对AI在这个行业里的应用有什么看法？

Josh, what are your thoughts on AI when it comes to this industry?

是的。

Yeah.

我觉得，首先，到今天这个地步，我坚信AI是大势所趋。

So, you know, I think, first of all, I you know, at this point, you know, it's my belief that AI is is more of an inevitability.

对吧？

Right?

就像四十年前，人们还在讨论个人电脑会不会成气候一样。

It's kinda like, you know, forty years ago, people talking about PCs and whether they were gonna be big.

你明白吧？

You know?

这事儿肯定会发生。

It's gonna happen.

你拦不住的。

You're you're not gonna stop it.

那些走在前沿的人，会学会正确使用这些工具。

And so the people that lead the edge of the pack learn how to utilize the tools properly.

我觉得对大多数人来说，AI本质上就是个工具。

And that's really what AI is for, I think, most people.

它就是一个工具。

It's a tool.

对吧？

Right?

他们会率先脱颖而出，利用这项技能在市场中赢得优势。

They're gonna be the ones that are getting ahead and and able to leverage that skill set to gain an advantage in the market.

对吧？

Right?

我刚看到，英伟达的订单 backlog 达到了一千亿美元。

I just read that NVIDIA has $1,000,000,000,000 in back order product.

也就是说，他们已经锁定了价值十亿美元的 AI 芯片订单。

So they have secure orders for a billion dollars in processors for AI.

对吧？

Right?

我的意思是，这些大公司都在砸重金投入，这事迟早会发生。

I mean, these are big companies that are making huge investments, and so it's gonna happen at some point.

所以你越早学会用这些工具，越早熟悉它们，就越能抢先一步，在产品上超越竞争对手。

So the sooner you can learn to use the tools, the sooner you can get familiar with them, the sooner you can gain an advantage over your competitors with with the products.

我给你举个例子，上周我用 ChatGPT 分析了一个 HVAC 系统的问题，当时是保险调查的一部分。

I wanna give you an example where last week, I used ChatGPT to look at an HVAC problem that it was part of an insurance investigation.

所以我不打算提具体公司名称或地址这些细节。

So I'm not gonna name company names and addresses and all that kind of stuff.

我只说个大概情况，这是一栋高层建筑。

I'll just give you the generalized scope of what happened, but it's a it's a high rise building.

这是个公寓楼。

It's a condo building.

楼顶有个设备间，至于各户里面装了什么，我也不太清楚。

It's got a mechanical room in the penthouse, and they have I I don't know what's in the suites.

可能是风机盘管吧，但它的系统是从锅炉切换到冷水机组，而且用的是单管。

It's probably fan coils, I would imagine, but they go from a boiler system to a chiller system, and it's it's the single pipe.

热水和冷水共用同一根管道。

So the hot water and the cold water uses the exact same pipe.

得靠手动阀门来切换模式。

It's gotta be switched over manually with valving and stuff like that.

已经发生过两次了，每次从制冷切换到制热时，同一层楼的铜管都在中间爆裂，裂口大概八到九英寸长，直接就炸开了。

And twice now, when they've gone from cooling to heating, twice on the same floor, a copper pipe burst down down the middle of the pipe, and it just it burst in in the the the burst is, like, eight, nine inches long, and it just burst.

我们现在正琢磨原因，有各种猜测和理论。

And we're trying to figure out why that happened, and we've got a lot of different ideas and theories.

我说，你知道吗？

I said, you know what?

我把这个问题输入到ChatGPT里，看看它能给出什么答案。

I'm gonna type this problem into ChatGPT and just see what it comes up with.

结果它提出了很多非常合理的可能性，确实可能发生的情况。

And it came up with, honestly, a lot of really valid scenarios that it that could have happened.

现在有了这些可能性摆在面前，有些我们其实也想过，但它把每个情况都分析得更深入了。

And now with these scenarios in front of us, things that we kind of thought, but it went a little bit more in-depth on each one.

有些细节是我们根本没注意到的，特别细微的地方。

Things that you may not have thought, like little little bits of detail.

现在它列出了三四个不同的可能性，我们可以一个个去排查，看看哪些不太可能。

And now that there's, like, three or four different scenarios that it came up with, we can go through all of those scenarios and start eliminating what we thought may k.

这个可能性应该不是，因为当时发生了这种情况，还有那种情况。

Maybe it's not that one because this happened and that happened.

这个可能性也不太可能是原因。

Maybe it's not that one.

最后我们就能锁定最有可能的那个情况，证明它就是问题的根源。

And we can finally get down to to the one we think it is the most and prove that's why it happened.

我发现，你们也觉得吧，我先说说你，吉姆——ChatGPT 在分析现场可能出现的问题上，确实越来越厉害了，技术人员可以用它来比对手或同事更占优势。

So I'm finding that and you guy you guys weigh in on this, and I'll start with you, Jim, but ChatGPT in itself seems to be getting smarter when it comes to problems that could happen in the field and technicians can utilize to get an edge on maybe their competitor or their coworker.

我不是说要跟同事较劲，但假如你去回访，遇到难题，随手把情况丢给 ChatGPT，它就能告诉你可能出了什么问题。

I'm I'm not saying to compete with your coworker, but just if if they were there and you're on a callback and you throw it in the ChatGPT, this is what happened.

技师发现了这个情况。

Technician found this.

我回来了。

I'm back.

你觉得问题可能出在哪？

What could the problem be?

它能提供很多很有价值的线索。

You can get some really valid information.

吉姆，你怎么看？

Jim, what do you think?

是的。

Yeah.

这其实回到我之前说的，随着越来越多的信息和解决方案被输入进去，系统就能建立起更全面的案例数据库，应对各种情况。

So, you know, that goes back to my earlier comment about as more information is put into this, as more of the solutions are input that creates that larger database for the various scenarios.

你刚才提到的一点我很认同——即使列表里没有完全匹配的解决方案，但至少它能启发你去思考：嘿，要不要换个角度看看？

And what I like that you said about as you were going through that is the fact that you may not have that specific solution in that list, but the thought process, the the idea of, hey, let's look at this.

换个角度看看。

Let's look at this.

至少，AI帮你打开了思路，让你意识到：

The if nothing else, AI created a open mindset to say, hey.

别只盯着眼前这个小问题，

Let's look beyond this little thing that we thought it was.

得把所有可能的情况都过一遍。

Let's look at all of the possibilities here.

还有没有其他我们没想到的可能性？

Is there anything else we can think of and to add to that?

而最关键的问题是——这其实是个疑问：ChatGPT 是怎么知道这么多解决方案的？

And then the biggest key to that is and and this would be a question, how did ChatGPT know all of those solutions?

总得有人把那些内容放进去吧。

Somebody had to put that that in.

那它到底是从哪儿获取到这些解决方案的呢？

And and so where is it getting that to to know know all of those solutions?

是的。

Yeah.

确实如此。

It is true.

它到底是从哪里获取这些信息的？

Where is it getting at that information?

而且，乔什，我们其实是来找你的。

And and, Josh, I mean, we we come to you.

它是通过浏览互联网获取这些内容的。

It's getting it scouring the Internet.

对吧？

Correct?

是的。

Yeah.

很简单吧？

Simple?

简单来说就是

Simple as

我的意思是，它在浏览各种论坛帖子、Reddit帖子、YouTube视频，还有评论区和其他地方，那些别人遇到过类似问题的地方。

I mean, you know, it's it's scouring, you know, forum posts and, you know, Reddit posts and YouTube videos and, you know, and comment sections and and different things where other people had remote problems.

有人把这些内容输入进去了。

They input.

人们讨论过，得出了结论，而它就把这些内容全都收集起来，快速地整合好，直接呈现在你面前，你就不必自己去翻那些论坛帖子了，对吧？

People had discussion, came to conclusions, and and it's pulling all that and kind of, you know basically, it's aggregating that information and putting it right center in front of you very quickly, right, instead of you having to go through and find those forum posts.

明白吧？

You know?

这让我想起以前修车的时候。

I I it reminds me of, like, working on my car back in the day.

对吧？

Right?

哎呀，真头疼。

You're like, ah, man.

车出了问题。

I have this issue.

怎么都找不出原因。

Can't figure it out.

你得去车友论坛找，同一个车型可能有三四个论坛，翻来覆去地搜，最后在某个帖子深处发现，哦，原来问题是这个。

You go to your car's forums, and you might have three or four for your make and model, and you search and and sort, and you finally you find hidden in this one thread, oh, this is the issue.

跟我遇到的一模一样，而且还有解决办法。

This is my exact issue, and here's the solution.

对吧？

Right?

AI相关的热潮会迅速浮出水面，几乎是瞬间的事。

AI bubbles all back to the top very quickly, very instantly.

我说啊，你随便拿现在任何一个AI模型，不管是ChatGPT、Gemini还是别的，都得明白一点：你今天用到的这个版本，已经是它最差的状态了。

And and I'll say, you know, if you take any any AI model today with ChatGPT, Gemini, whatever it is, just realize that the current state today, when you use that model, that's the worst it's ever gonna be.

以后只会越来越好。

It's only gonna get better.

它会吸收越来越多的信息。

It's only gonna get more information.

速度会更快，预测你所需结果的准确度也会越来越高。

It's only gonna get faster and more accurate at predicting the output that you need.

所以你要明白，它一直在持续进步。

So just, you know, realize that it is gonna keep improving.

要是现在用起来还不完美，别急，过几个月再看看，你可能会大吃一惊。

So if you don't doesn't work perfectly right now, I mean, give it a a couple months and, you you know, you never know what what you're gonna see.

对。

Yeah.

不对。

No.

说得很对。

Good good point.

我特别赞同你提到的这一点：如果你在生活中遇到具体问题，比如汽车故障，或者说空调系统出了问题，那些技术人员会去Facebook群组、Reddit，或者像HVAC Talk这样的老论坛里提问。

And I I really like the point that you made about going if you have a specific problem in life, like your car, but let's say it's it's a it's an HVAC problem, there are techs that will go into Facebook groups and ask a question, like you said, Reddit, go into other forums, one of the old ones, HVAC Talk.

他们会去这些地方寻找信息，但可能要花不少时间才能得到回复，或者找到真正需要的答案。

They'll go into these places and try to find the information, and it could take them time to get a response or find what they're exactly looking for.

但如果你用一个AI应用，就像你说的，它能瞬间扫描所有这些内容，几秒钟内就给你最相关的答案，那为什么不直接用它呢？何必花时间在各个论坛里慢慢翻找、越陷越深呢？

But if you get into an AI app that, like you said, scours all of this and it gives you the top answers within seconds, why wouldn't you utilize that instead of digging and and and trying to spend time looking further down or getting further down the rabbit hole into all these forums and discussion groups when you don't have to?

还有另一点，这正是我想接着说的——Facebook和Reddit上的讨论。

Just one more piece of that, and and that's that's where I was looking at us going is is, you know, Facebook discussion, Reddit discussion.

我想补充的是，当你使用AI时，要明白这些讨论内容可能来自各种人，比如一位经验丰富的老技工，也可能是个刚入行的新手，他说‘我试过这个方法，结果还真管用了’，但其实问题根本不是出在他以为的地方。

And I would like to add to that then that as you're looking at AI, to make sure that you understand that those could be the sources, and those sources could be a aged technician, or it could be somebody that's brand new in the field that said, hey, I tried this, and and for some reason, something worked when it might not have even really been the the issue.

所以通过AI获得的解决方案，来源可能五花八门。

And so the source where you're getting your solutions can be all over with AI.

像谷歌AI这样的工具，你其实能看到这些信息的来源。

With with, like, Google AI, you can actually see where those sources came from.

它会显示这些内容来自哪个网页，不管是Reddit还是制造商的网站。

They're gonna they're gonna show the the web page where that came from, whether it's whether it's Reddit or whether it's a manufacturer.

如果你看到的答案来自靠谱的制造商或权威科研资料，那我就更有信心说，没错。

And if you got some good manufacturer or scientific research that that's where that's coming from, there's a lot more confidence that I would have in saying, yeah.

这些解决方案是可行的。

These are viable solutions.

所以在使用AI的时候，这点一定要记住。

So just just something to keep in mind as you look at AI.

AI给出的答案，并不一定是专业人士提供的。

AI does not necessarily mean your answer that you got was a professional answer.

好了，各位。

Alright, boys and girls.

我一会儿会发个链接，里面有折扣信息和一些培训资料。

I'm gonna give you a link to some discount and also some training.

你们先听这段广告。

Y'all listen to this ad first, though.

整天跑空调维修单，你知道在需要的时候有对的零件和及时支持有多重要。

Running HVAC calls all day, and you know how valuable it is to have the right part and the right support when you need it.

所以专业人士都选择SupplyHouse。

That's why pros turn to SupplyHouse.

我们备有大量你信赖的品牌的暖通空调和制冷零件，现货充足，发货迅速。

We've got a huge selection of HVAC and refrigeration parts in stock from brands you trust, and they ship fast.

网站操作简单，产品参数和信息一应俱全，帮你快速找到所需物品，立刻回到工作中。

The site's easy to use and packed with specs and product info so you can find what you need and get back to work quickly.

真正划算的地方在这儿。

Here's where it really pays.

就是这个Trade Master计划。

The Trade Master program.

免费加入，会员能享受专属折扣、专业培训视频，还有全美免费配送。

It's free to join, and members get exclusive discounts, access to pro training, videos, and free shipping nationwide across The US.

去看看 supplyhouse.com/tm，用促销码 HKIA5，首单立减5%

Check it out, supplyhouse.com/tm, and use promo code h k I a five to get 5% off your first order.

在 SupplyHouse 用促销码 HKIA5 就行

That's promo code h k I a five at SupplyHouse.

真人服务，实实在在

Real people, real service.

没错

Yeah.

这点确实说得对

That that's a good point too.

好的

Okay.

咱们现在来看看普通技工的情况

So let let's turn it to the the average technician.

是个年轻人，刚入行不久

It's a young it's a young kid just starting out.

也许他们刚从技校毕业，才跟着师傅跑了一年。

Maybe they're just out of trade school and maybe got a year of following a tech around.

现在一下子就被扔进实战里了。

Now they're getting thrown into the fire.

他们得独自去上门服务了。

They're going to service calls on their own.

新来的技术员该怎么利用人工智能来帮自己呢？

How can a a new technician start utilizing AI to their benefit.

他们不敢打电话，我先举个例子吧。

So they're not calling because let me let me give an example.

我刚入行的时候，特别不愿意打电话问别的师傅或者老板，因为你一开口，就把自己暴露在风险里，万一被骂怎么办？你到底懂不懂啊？

As a young technician, I did not like calling another mechanic or another tech or the boss because I've you're putting yourself in a vulnerable position where you could get yelled at and what are you doing?

你懂我意思吧？

Like, you know what I mean?

学手艺的时候特别难，因为你根本不知道打完电话对方会是什么反应。

It's it's it's a very tough spot to be in when you're learning because you don't know what the outcome is gonna be on the other side of that phone when you call that person.

你会被骂吗？

Are you gonna get yelled at?

你能得到准确的信息吗？

Are you gonna get the right information?

对方会不会直接挂电话？

Are they gonna hang up the phone?

谁知道会发生什么？

Who knows what's gonna happen?

对于刚入行的年轻技工来说，怎么才能最好地利用AI，避免直接打电话问老板呢？

So for that young tech that's trying to find their way in the field, how can they best utilize AI in order to maybe circumvent the whole call in the boss thing?

吉姆，这个问题我先听你说说。

Jim, I'll I'll start with you on that.

AI呢，我觉得再次印证了我之前说过的话，就是得清楚信息的来源。

So AI, again, I think reiterates what what I've already shared as far as just being aware that it came from.

AI是个工具，我想强调的是，你去问它，它可能会说，可能是这种情况。

AI is something and and this is a point I'd like to drive with that as far as, you know, you you can go to AI and it says, well, it could be this.

可能是这个。

It could be this.

如果你看到多个选项，就不会一看到第一个就认定它一定是正确答案。

If if you're getting multiple options, then you're not going to to just go to, oh, this is the option, and and you're confident the first thing you see is is what the solution is.

我想补充一点关于这个的看法。

This is the piece that that I would like to add to that.

作为新手技术人员，当你在排查系统问题时，一旦发现线索，最好先把所有可能的情况都理清楚，再去找客户。

As a new technician, whenever you're working through a issue with a system and something comes to light, it's in your best interest to try to work through everything that's going on there before you go to the homeowner and say, hey.

我找到问题了。

I found your problem.

你的变压器烧坏了。

You got a burnout transformer.

客户一听，太好了。

And the homeowner's like, great.

你明白吧？

You know?

我们现在看的是什么？

What are we looking at?

我们已经换了变压器。

We replaced the transformer.

等一下。

Wait a minute.

还有别的东西导致变压器烧坏了。

There was something else that burned out the transformer.

还有一件事没做，必须补上。

There was another step that needed to be taken and done.

所以就算用AI，也得慢慢来，确保你彻底搞清楚了问题根源，解决方案完全到位了，再去找业主说：我已经找到全部答案了。

And so even with AI, just taking it slow, making sure that that you've got clear to the bottom of what you're you're looking at, that the solution is completely fixed before you you go and and take it to that that next step of of sharing with the homeowner and and saying, I know the the full solution.

AI可能只给你部分答案，就像你排查故障时，往往只看到第一步，就以为没问题了。

AI is could give you a partial solution just like when you're troubleshooting, you may only get that first part of that solution and and not taking the confidence that, hey.

AI帮了我。

AI helped me.

我把这个问题彻底搞清楚了。

I got to the bottom of this.

一切都没问题了。

Everything's good.

还要确认有没有其他潜在问题导致了这种情况。

And making sure that that there isn't a secondary problem or or issue that created that.

对。

Mhmm.

乔什，你对吉姆说的有什么补充吗？

Josh, do have any anything to add to that, what Jim was saying?

是的。

Yeah.

就像我之前说的，AI只是一个工具。

I mean, like I said earlier, AI is a tool.

对吧？

Right?

它就跟你的万用表、你的压力表一样，只是一个工具。

It's it's a tool just like your multimeter, just like your gauge set.

它永远取代不了你作为技工的专业能力。

It's never gonna replace your competency as a technician.

它永远取代不了你多年积累下来、用来排查这些系统问题的经验。

It's never gonna replace the knowledge you gain over time that you can use to troubleshoot these systems.

我觉得吉姆说得对，用AI来帮你排查问题、在你卡住的时候指个方向，确实很重要。

And and I think to Jim's point, you know, using AI for, you know, helping you troubleshoot, helping you point in the right direction when you're stuck, I think, is key.

但如果没有基本的知识储备，说到底，AI也帮不了你多少。

But without the the baseline knowledge, you know, you're it's it's not gonna really help you at the end of the day.

举个例子，你进到系统里，设备还在运行，但总觉得哪里不对劲，你第一反应觉得是压缩机的问题。

You know, as an example, right, you come into the system, still running, something's not right, though, and you think it's a compressor issue.

对吧？

Right?

你已经把问题锁定在压缩机上了。

You've you've isolated the compressor.

我们Copa Mobile里新上线了一个AI助手，叫Scout AI。

You know, we have a a new AI in our Copa Mobile, the Scout AI.

你可以直接说：嘿。

You can, you know, say, hey.

比如针对某个型号、在特定工况下，我该预期多大的功耗？

For, you know, x y z model at this operating condition, what power draw should I should I expect?

预期多少？

Expect?

对吧？

Right?

你得明白，我得用万用表来测量。

And you gotta know, you know, I gotta use my multimeter.

得实际看看功耗到底是多少。

I gotta see what power draw is.

你懂的。

You know?

好的。

Okay.

科兰德的规格上写的是应该在这个范围。

Copeland's specification says it should be, you know, this much.

我这边差了差不多三百瓦。

I'm off by, you know, 300 watts.

好的。

Okay.

这是压缩机的问题。

It is a compressor issue.

对吧？

Right?

那接下来该怎么做？

And then, you know, what's the next step?

是什么原因导致压缩机出问题的？

What caused the compressor issue?

只是压缩机老化的问题吗？

Is it just the compressor age?

真的是压缩机本身的问题，还是其他原因导致它提前失效了？

Is it really compressor, or is it something else that that induced a premature compressor failure?

所以我觉得，AI作为工具特别强大，因为它能快速提供参考信息、快速查询，帮你迅速找到答案或指明方向，但它永远替代不了你作为技术人员必须不断积累、适应和学习的基础知识。

So that's where I think AI as a tool is super powerful is it gives you a quick reference information, the quick lookups, the ability to find information quickly or point you in the right direction, but it's never gonna replace that baseline knowledge that that you as a technician need to constantly be growing and adapting and learning.

学习。

Learning.

好的。

Alright.

那咱们聊聊科兰德在这方面做了什么。

So let's talk about what Copeland is doing on this front.

毕竟你们有科兰德移动应用，还有你们嵌入到Scout里的那个产品，那是个AI工具。

Because, I mean, we we got the Copeland mobile app and and your product that's kind of embedded into that Scout, which is an AI tool.

这个工具已经上线大概一年了。

It's what's been around for about a year now.

对吧？

Right?

差不多是这样？

Something like that?

是的。

Yes.

没错。

Yep.

Scout 已经上线一年左右了。

Scout's been around for an about a year.

Copeland 移动应用早就有了，以前叫 Emerson 移动应用。

Copeland Mobile was around for for a long time, formerly Emerson Mobile.

我们现在正在把所有功能整合到一个统一的平台里。

What we're doing now is we're trying to consolidate everything into one ecosystem.

比如以前的 White Rogers 控制系统之类的，现在正逐步整合进这个一站式平台，而 Scout AI 能帮你快速交叉查询，你只要直接开口问就行。

So if you're using what would have been called White Rogers controls, those kind of things, they're trying to slowly consolidate everything in a one stop shop, and then Scout AI will kinda unify and allow you to cross reference stuff very quickly and, you know, just by speaking to it, basically.