教程:为 Linux 设备开发并部署 Node.js IoT Edge 模块Tutorial: Develop and deploy a Node.js IoT Edge module for Linux devices

使用 Visual Studio Code 开发 Node.js 代码并将其部署到运行 Azure IoT Edge 的 Linux 设备。Use Visual Studio Code to develop Node.js code and deploy it to a Linux device running Azure IoT Edge.

可以使用 IoT Edge 模块部署代码,以直接将业务逻辑实现到 IoT Edge 设备。You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices. 本教程详细介绍如何创建并部署用于筛选传感器数据的 IoT Edge 模块。This tutorial walks you through creating and deploying an IoT Edge module that filters sensor data. 将使用在快速入门中创建的模拟 IoT Edge 设备。You'll use the simulated IoT Edge device that you created in the quickstarts. 本教程介绍如何执行下列操作:In this tutorial, you learn how to:

  • 使用 Visual Studio Code 创建 IoT Edge Node.js 模块Use Visual Studio Code to create an IoT Edge Node.js module
  • 使用 Visual Studio Code 和 Docker 创建 Docker 映像并将其发布到注册表Use Visual Studio Code and Docker to create a docker image and publish it to your registry
  • 将模块部署到 IoT Edge 设备Deploy the module to your IoT Edge device
  • 查看生成的数据View generated data

在本教程中创建的 IoT Edge 模块可以筛选由设备生成的温度数据。The IoT Edge module that you create in this tutorial filters the temperature data generated by your device. 它只在温度高于指定阈值的情况下,向上游发送消息。It only sends messages upstream if the temperature is above a specified threshold. 在边缘进行的此类分析适用于减少传递到云中和存储在云中的数据量。This type of analysis at the edge is useful for reducing the amount of data communicated to and stored in the cloud.

如果没有 Azure 订阅,可在开始前创建一个 试用帐户If you don't have an Azure subscription, create a trial account before you begin.

解决方案范围Solution scope

本教程演示如何使用 Visual Studio CodeNode.js 开发模块,以及如何将其部署到 Linux 设备This tutorial demonstrates how to develop a module in Node.js using Visual Studio Code, and how to deploy it to a Linux device. IoT Edge 不支持 Windows 设备的 Node.js 模块。IoT Edge does not support Node.js modules for Windows devices.

使用下表了解用于开发和部署 Node.js 模块的选项:Use the following table to understand your options for developing and deploying Node.js modules:

Node.jsNode.js Visual Studio CodeVisual Studio Code Visual Studio 2017/2019Visual Studio 2017/2019
Linux AMD64Linux AMD64 将 VS Code 用于 Linux AMD64 上的 Node.js 模块
Linux ARM32Linux ARM32 将 VS Code 用于 Linux ARM32 上的 Node.js 模块


在开始学习本教程之前,应已完成上一篇教程来设置用于开发 Linux 容器的开发环境:开发适用于 Linux 设备的 IoT Edge 模块Before beginning this tutorial, you should have gone through the previous tutorial to set up your development environment for Linux container development: Develop IoT Edge modules for Linux devices. 完成这两个教程中的一个以后,你应该已经准备好以下必备组件:By completing either of those tutorials, you should have the following prerequisites in place:

若要开发以 Node.js 编写的 IoT Edge 模块,请在开发计算机上安装下述额外的必备组件:To develop an IoT Edge module in Node.js, install the following additional prerequisites on your development machine:

  • Node.js 和 npmNode.js and npm. npm 包是随 Node.js 分发的,也就是说,下载 Node.js 时,npm 会自动安装在计算机上。The npm package is distributed with Node.js, which means that when you download Node.js, you automatically get npm installed on your computer.

创建模块项目Create a module project

以下步骤介绍如何使用 Visual Studio Code 和 Azure IoT 工具来创建 IoT Edge Node.js 模块。The following steps show you how to create an IoT Edge Node.js module using Visual Studio Code and the Azure IoT Tools.

创建新项目Create a new project

使用 npm 创建一个 Node.js 解决方案模板,以便在其上生成项目。Use npm to create a Node.js solution template that you can build on top of.

  1. 在 Visual Studio Code 中选择“视图” > “集成终端”,打开 VS Code 集成终端。In Visual Studio Code, select View > Integrated Terminal to open the VS Code integrated terminal.

  2. 在集成终端输入以下命令,以便安装 yeoman 以及适用于 Node.js Azure IoT Edge 模块的生成器:In the integrated terminal, enter the following command to install yeoman and the generator for Node.js Azure IoT Edge module:

    npm install -g yo generator-azure-iot-edge-module
  3. 选择“视图” > “命令面板”,打开 VS Code 命令面板。Select View > Command Palette to open the VS Code command palette.

  4. 在命令面板中,键入并运行 Azure:Sign in 命令并按照说明登录到 Azure 帐户。In the command palette, type and run the command Azure: Sign in and follow the instructions to sign in your Azure account. 如果已登录,则可跳过此步骤。If you've already signed in, you can skip this step.

  5. 在命令面板中,键入并运行 Azure IoT Edge:New IoT Edge solution 命令。In the command palette, type and run the command Azure IoT Edge: New IoT Edge solution. 按命令面板中的提示创建解决方案。Follow the prompts in the command palette to create your solution.

    字段Field ValueValue
    选择文件夹Select folder 在适用于 VS Code 的开发计算机上选择用于创建解决方案文件的位置。Choose the location on your development machine for VS Code to create the solution files.
    提供解决方案名称Provide a solution name 输入解决方案的描述性名称,或者接受默认的 EdgeSolutionEnter a descriptive name for your solution or accept the default EdgeSolution.
    选择模块模板Select module template 选择“Node.js 模块”。 Choose Node.js Module.
    提供模块名称Provide a module name 将模块命名为 NodeModuleName your module NodeModule.
    为模块提供 Docker 映像存储库Provide Docker image repository for the module 映像存储库包含容器注册表的名称和容器映像的名称。An image repository includes the name of your container registry and the name of your container image. 容器映像是基于你在上一步中提供的名称预先填充的。Your container image is prepopulated from the name you provided in the last step. localhost:5000 替换为 Azure 容器注册表中的登录服务器值。Replace localhost:5000 with the login server value from your Azure container registry. 可以在 Azure 门户的容器注册表的“概览”页中检索登录服务器。You can retrieve the login server from the Overview page of your container registry in the Azure portal.

    最终的映像存储库看起来类似于 <registry name>.azurecr.cn/nodemodule。The final image repository looks like <registry name>.azurecr.cn/nodemodule.

    提供 Docker 映像存储库

添加注册表凭据Add your registry credentials

环境文件存储容器存储库的凭据,并将其与 IoT Edge 运行时共享。The environment file stores the credentials for your container repository and shares those with the IoT Edge runtime. 此运行时需要这些凭据才能将专用映像拉取到 IoT Edge 设备中。The runtime needs these credentials to pull your private images onto the IoT Edge device.

  1. 在 VS Code 资源管理器中,打开 .env 文件。In the VS Code explorer, open the .env file.
  2. 使用从 Azure 容器注册表复制的 usernamepassword 值更新相关字段。Update the fields with the username and password values that you copied from your Azure container registry.
  3. 保存此文件。Save this file.

选择目标体系结构Select your target architecture

目前,Visual Studio Code 可以开发适用于 Linux AMD64 和 Linux ARM32v7 设备的 Node.js 模块。Currently, Visual Studio Code can develop Node.js modules for Linux AMD64 and Linux ARM32v7 devices. 需要选择面向每个解决方案的体系结构,因为每种体系结构类型的容器的生成和运行方式均不相同。You need to select which architecture you're targeting with each solution, because the container is built and run differently for each architecture type. 默认设置为 Linux AMD64。The default is Linux AMD64.

  1. 打开命令面板并搜索 Azure IoT Edge:Set Default Target Platform for Edge Solution,或者选择窗口底部边栏中的快捷方式图标。Open the command palette and search for Azure IoT Edge: Set Default Target Platform for Edge Solution, or select the shortcut icon in the side bar at the bottom of the window.

  2. 在命令面板中,从选项列表中选择目标体系结构。In the command palette, select the target architecture from the list of options. 本教程将使用 Ubuntu 虚拟机作为 IoT Edge 设备,因此将保留默认设置 amd64For this tutorial, we're using an Ubuntu virtual machine as the IoT Edge device, so will keep the default amd64.

使用自定义代码更新模块Update the module with custom code

每个模板都附带示例代码,该代码从 SimulatedTemperatureSensor 模块提取模拟传感器数据并将其路由到 IoT 中心。Each template comes with sample code included, which takes simulated sensor data from the SimulatedTemperatureSensor module and routes it to IoT Hub. 在此部分,请添加代码,以便让 NodeModule 分析消息,然后再发送它们。In this section, add code to have NodeModule analyze the messages before sending them.

  1. 在 VS Code 资源管理器中,打开 modules > NodeModule > app.jsIn the VS Code explorer, open modules > NodeModule > app.js.

  2. 在所需的节点模块下面添加温度阈值变量。Add a temperature threshold variable below required node modules. 温度阈值设置一个值,若要向 IoT 中心发送数据,测量的温度必须超出该值。The temperature threshold sets the value that the measured temperature must exceed in order for the data to be sent to IoT Hub.

    var temperatureThreshold = 25;
  3. 将整个 PipeMessage 函数替换为 FilterMessage 函数。Replace the entire PipeMessage function with the FilterMessage function.

    // This function filters out messages that report temperatures below the temperature threshold.
    // It also adds the MessageType property to the message with the value set to Alert.
    function filterMessage(client, inputName, msg) {
        client.complete(msg, printResultFor('Receiving message'));
        if (inputName === 'input1') {
            var message = msg.getBytes().toString('utf8');
            var messageBody = JSON.parse(message);
            if (messageBody && messageBody.machine && messageBody.machine.temperature && messageBody.machine.temperature > temperatureThreshold) {
                console.log(`Machine temperature ${messageBody.machine.temperature} exceeds threshold ${temperatureThreshold}`);
                var outputMsg = new Message(message);
                outputMsg.properties.add('MessageType', 'Alert');
                client.sendOutputEvent('output1', outputMsg, printResultFor('Sending received message'));
  4. 将函数名称 pipeMessage 替换为 client.on() 函数中的 filterMessageReplace the function name pipeMessage with filterMessage in client.on() function.

    client.on('inputMessage', function (inputName, msg) {
        filterMessage(client, inputName, msg);
  5. 将以下代码片段复制到 client.open() 函数回调中,具体说来是在 else 语句中的 client.on() 后面。Copy the following code snippet into the client.open() function callback, after client.on() inside the else statement. 更新所需属性时,会调用此函数。This function is invoked when the desired properties are updated.

    client.getTwin(function (err, twin) {
        if (err) {
            console.error('Error getting twin: ' + err.message);
        } else {
            twin.on('properties.desired', function(delta) {
                if (delta.TemperatureThreshold) {
                    temperatureThreshold = delta.TemperatureThreshold;
  6. 保存 app.js 文件。Save the app.js file.

  7. 在 VS Code 资源管理器的 IoT Edge 解决方案工作区中打开 deployment.template.json 文件。In the VS Code explorer, open the deployment.template.json file in your IoT Edge solution workspace.

  8. 将 NodeModule 模块孪生添加到部署清单。Add the NodeModule module twin to the deployment manifest. moduleContent 节底部 $edgeHub 模块孪生后插入以下 JSON 内容:Insert the following JSON content at the bottom of the moduleContent section, after the $edgeHub module twin:

      "NodeModule": {


  9. 保存 deployment.template.json 文件。Save the deployment.template.json file.

生成并推送模块Build and push your module

在上一部分,你已经创建了一个 IoT Edge 解决方案并将代码添加到了 NodeModule,该函数会筛选出其中报告的计算机温度处于可接受限制范围内的消息。In the previous section, you created an IoT Edge solution and added code to the NodeModule that will filter out messages where the reported machine temperature is within the acceptable limits. 现在需将解决方案生成为容器映像并将其推送到容器注册表。Now you need to build the solution as a container image and push it to your container registry.

  1. 打开 VS Code 集成终端,方法是选择“视图” > “终端” 。Open the VS Code integrated terminal by selecting View > Terminal.

  2. 在终端中输入以下命令,以登录到 Docker。Sign in to Docker by entering the following command in the terminal. 使用 Azure 容器注册表中的用户名、密码和登录服务器登录。Sign in with the username, password, and login server from your Azure container registry. 可以在 Azure 门户中从注册表的“访问密钥”部分检索这些值。 You can retrieve these values from the Access keys section of your registry in the Azure portal.

    docker login -u <ACR username> -p <ACR password> <ACR login server>

    可能会出现一条安全警告,其中建议使用 --password-stdinYou may receive a security warning recommending the use of --password-stdin. 这条最佳做法是针对生产场景建议的,这超出了本教程的范畴。While that best practice is recommended for production scenarios, it's outside the scope of this tutorial. 有关详细信息,请参阅 docker login 参考。For more information, see the docker login reference.

  3. 在 VS Code 资源管理器中右键单击“deployment.template.json”文件,然后选择“生成并推送 IoT Edge 解决方案”。 In the VS Code explorer, right-click the deployment.template.json file and select Build and Push IoT Edge solution.

    “生成并推送”命令会启动三项操作。The build and push command starts three operations. 首先,它在解决方案中创建名为 config 的新文件夹,用于保存基于部署模板和其他解决方案文件中的信息生成的完整部署清单。First, it creates a new folder in the solution called config that holds the full deployment manifest, built out of information in the deployment template and other solution files. 其次,它会运行 docker build,以基于目标体系结构的相应 dockerfile 生成容器映像。Second, it runs docker build to build the container image based on the appropriate dockerfile for your target architecture. 然后,它会运行 docker push,以将映像存储库推送到容器注册表。Then, it runs docker push to push the image repository to your container registry.

将模块部署到设备Deploy modules to device

使用 Visual Studio Code 资源管理器和 Azure IoT Tools 扩展将模块项目部署到 IoT Edge 设备。Use the Visual Studio Code explorer and the Azure IoT Tools extension to deploy the module project to your IoT Edge device. 你已经为方案准备了部署清单,即 config 文件夹中的 deployment.json 文件。You already have a deployment manifest prepared for your scenario, the deployment.json file in the config folder. 现在需要做的就是选择一个设备来接收部署。All you need to do now is select a device to receive the deployment.

请确保 IoT Edge 设备已启动并正在运行。Make sure that your IoT Edge device is up and running.

  1. 在 Visual Studio Code 资源管理器中展开“Azure IoT 中心设备”部分,查看 IoT 设备的列表。 In the Visual Studio Code explorer, expand the Azure IoT Hub Devices section to see your list of IoT devices.

  2. 右键单击 IoT Edge 设备的名称,然后选择“为单个设备创建部署”。 Right-click the name of your IoT Edge device, then select Create Deployment for Single Device.

  3. 选择 config 文件夹中的 deployment.json 文件,然后单击“选择 Edge 部署清单”。 Select the deployment.json file in the config folder and then click Select Edge Deployment Manifest. 不要使用 deployment.template.json 文件。Do not use the deployment.template.json file.

  4. 单击“刷新”按钮。Click the refresh button. 此时应看到新的 NodeModuleSimulatedTemperatureSensor 模块以及 $edgeAgent$edgeHub 一起运行。You should see the new NodeModule running along with the SimulatedTemperatureSensor module and the $edgeAgent and $edgeHub.

查看生成的数据View the generated data

将部署清单应用到 IoT Edge 设备以后,设备上的 IoT Edge 运行时就会收集新的部署信息并开始在其上执行操作。Once you apply the deployment manifest to your IoT Edge device, the IoT Edge runtime on the device collects the new deployment information and starts executing on it. 在设备上运行的未包括在部署清单中的任何模块都会停止。Any modules running on the device that aren't included in the deployment manifest are stopped. 设备中缺失的任何模块都会启动。Any modules missing from the device are started.

可以通过 Visual Studio Code 资源管理器的“Azure IoT 中心设备”部分查看 IoT Edge 设备的状态 。You can view the status of your IoT Edge device using the Azure IoT Hub Devices section of the Visual Studio Code explorer. 展开设备的详细信息,可以看到已部署的正在运行的模块的列表。Expand the details of your device to see a list of deployed and running modules.

  1. 在 Visual Studio Code 资源管理器中右键单击 IoT Edge 设备的名称,选择“开始监视内置事件终结点”。 In the Visual Studio Code explorer, right-click the name of your IoT Edge device and select Start Monitoring Built-in Event Endpoint.

  2. 查看抵达 IoT 中心的消息。View the messages arriving at your IoT Hub. 消息到达可能需要一段时间。It may take a while for the messages to arrive. IoT Edge 设备必须接收其新部署并启动所有模块。The IoT Edge device has to receive its new deployment and start all the modules. 然后,在发送消息之前我们对 NodeModule 代码所做的更改需等到机器温度达到 25 度才会生效。Then, the changes we made to the NodeModule code wait until the machine temperature reaches 25 degrees before sending messages. IoT 中心还会将消息类型“警报”添加到达到该温度阈值的任何消息。 It also adds the message type Alert to any messages that reach that temperature threshold.

编辑模块孪生Edit the module twin

我们已使用部署清单中的 NodeModule 模块孪生将温度阈值设置为 25 度。We used the NodeModule module twin in the deployment manifest to set the temperature threshold at 25 degrees. 可以使用模块孪生来更改功能,而无需更新模块代码。You can use the module twin to change the functionality without having to update the module code.

  1. 在 Visual Studio Code 中,展开 IoT Edge 设备下的详细信息以查看正在运行的模块。In Visual Studio Code, expand the details under your IoT Edge device to see the running modules.

  2. 右键单击“NodeModule”并选择“编辑模块孪生”。 Right-click NodeModule and select Edit module twin.

  3. 在所需属性中找到 TemperatureThresholdFind TemperatureThreshold in the desired properties. 将其值更改为比上次报告的温度高出 5 到 10 度的新温度。Change its value to a new temperature 5 degrees to 10 degrees higher than the latest reported temperature.

  4. 保存模块孪生文件。Save the module twin file.

  5. 右键单击模块孪生编辑窗格中的任意位置,然后选择“更新模块孪生”。 Right-click anywhere in the module twin editing pane and select Update module twin.

  6. 监视传入的设备到云消息。Monitor the incoming device-to-cloud messages. 应会看到,在达到新的温度阈值之前,消息会停止发送。You should see the messages stop until the new temperature threshold is reached.

清理资源Clean up resources

如果打算继续学习下一篇建议的文章,可以保留已创建的资源和配置,以便重复使用。If you plan to continue to the next recommended article, you can keep the resources and configurations that you created and reuse them. 还可以继续使用相同的 IoT Edge 设备作为测试设备。You can also keep using the same IoT Edge device as a test device.

否则,可以删除本文中创建的本地配置和 Azure 资源,以避免收费。Otherwise, you can delete the local configurations and the Azure resources that you created in this article to avoid charges.

删除 Azure 资源Delete Azure resources

删除 Azure 资源和资源组的操作不可逆。Deleting Azure resources and resource groups is irreversible. 请确保不要意外删除错误的资源组或资源。Make sure that you don't accidentally delete the wrong resource group or resources. 如果在现有的包含要保留资源的资源组中创建了 IoT 中心,请只删除 IoT 中心资源本身,而不要删除资源组。If you created the IoT hub inside an existing resource group that has resources that you want to keep, delete only the IoT hub resource itself, instead of deleting the resource group.

若要删除资源,请执行以下操作:To delete the resources:

  1. 登录到 Azure 门户,然后选择“资源组”。 Sign in to the Azure portal and select Resource groups.

  2. 选择包含 IoT Edge 测试资源的资源组的名称。Select the name of the resource group that contains your IoT Edge test resources.

  3. 查看包含在资源组中的资源的列表。Review the list of resources contained in your resource group. 若要删除这一切,可以选择“删除资源组”。 If you want to delete all of them, you can select Delete resource group. 如果只需删除部分内容,可以单击要单独删除的每个资源。If you want to delete only some of them, you can click into each resource to delete them individually.

后续步骤Next steps

在本教程中,创建了 IoT Edge 模块,其中包含用于筛选 IoT Edge 设备生成的原始数据的代码。In this tutorial, you created an IoT Edge module that contains code to filter raw data generated by your IoT Edge device. 准备好生成自己的模块时,可以详细了解如何开发自己的 IoT Edge 模块或如何使用 Visual Studio Code 开发模块When you're ready to build your own modules, you can learn more about developing your own IoT Edge modules or how to develop modules with Visual Studio Code. 有关 IoT Edge 模块的示例,包括模拟温度模块,请参阅 IoT Edge 模块示例For examples of IoT Edge modules, including the simulated temperature module, see IoT Edge module samples.

可以继续学习后续教程,了解 Azure IoT Edge 如何帮助你部署 Azure 云服务,以在边缘位置处理和分析数据。You can continue on to the next tutorials to learn how Azure IoT Edge can help you deploy Azure cloud services to process and analyze data at the edge.