The AMEE API consists of two parts: profiles and data.
AMEEAPI包含两个部分:配置文件和数据。
As mentioned earlier, AMEE includes built-in support for a wide range of unit conversions.
如前所述,AMEE包括对广泛的单位会话的内置支持。
Likewise, the CO2 emission results generated by AMEE have default units of kg/year.
同样,AMEE生成的CO2排放结果的默认单位是kg/year。
The maximum time resolution of the AMEE platform is 1 minute. If seconds are specified, they are rounded down.
AMEE平台的最大时间分辨度是1分钟,如果指定了秒数,则会四舍五入。
How could we use this more accurate figure in AMEE to work out emissions?
那么,我们如何在AMEE中使用这个更精确的数字来计算排放量呢?
We can measure CPU usage once a minute, convert the result into a power usage using a defined mathematical model, and submit the result to AMEE for a high-resolution estimate of emissions.
我们可以每一分钟对CPU使用做一次测量,然后用一个定义好的数学模型将每次的测量结果转化为一个电量使用值,并将这个结果提交给AMEE以获得一个更精确的排放量评估值。
The choice of which calculation methodology to use is an essential part of getting started with the AMEE platform.
选择计算方法是使用AMEE平台的重要环节。
All scripts developed here are available to download from the AMEE source-control system (see Resources).
这里所开发的所有脚本都可从amee源控系统下载(参见参考资料)。
You can store thousands of different types of energy use in AMEE by finding the appropriate category and creating the right items.
通过发现适当的类别并创建正确的项,您可以将数千种不同类型的能源使用存储在AMEE中。
It discussed how the AMEE API works, showed you how and where to store data.
本文讨论了AMEEAPI的工作方式,存储数据的方式和位置。
When you store your energy data in an AMEE profile, these methodologies are automatically applied to give a reliable carbon footprint for your energy use.
当您将能源数据存储在一个AMEE配置文件时,这些方法将自动应用,为您的能源使用提供一个可靠的碳 「足迹」。
That site explains all of the data in AMEE in great detail.
这个站点对AMEE中所有的数据都做了详尽的解释。
If you create two profile items with the same data item UID, and which overlap the same time, then the AMEE API will complain as it can't form a sensible time series from the data.
如果您使用相同的数据项uid创建了两个配置项,而且时间重叠,那么AMEEAPI将会报错,因为它不能从该数据形成一个合理的时间时序。
AMEE allows you to store time information along with your data, so that you can build up a series of data points over time.
AMEE允许在存储数据的同时存储时间信息,以便根据时间构建一系列数据点。
They are subject to change across different instances of the AMEE platform, so they will be different between the live and stage platforms, for instance.
它们在AMEE平台的不同实例间会发生变化,比如,它们在实时平台和準备平台之间就不同。
We need to supply some extra parameters here, as we need to tell AMEE how much energy we are using for each time period.
因为我们需要告诉AMEE每个周期使用的能量值,所以我们还需要一些其他的参数。
The AMEE data wiki is a useful resource for this.
AMEE数据wiki是实现这个目标的一个有用资源。
This is because privacy and security of data are of utmost importance; all data stored in AMEE is anonymized, so you cannot retrieve profile data based on personal information.
这是因为数据隐私和数据安全在今天很重要,存储在AMEE中的所有数据都是匿名的,因此不能根据个人信息检索配置文件数据。
In this article, you learned to use the AMEE API to embed environmental intelligence into your applications.
在本文中,您学习了如何使用AMEEAPI在您的应用程序中嵌入环境智能。
The first step towards using the AMEE platform is to sign up for an access key.
使用AMEE平台的第一步是注册以获取访问密匙。