【转】设备数据通过Azure Functions 推送到 Power BI 数据大屏进行展示

叁歲伎倆 2022-11-19 12:44 107阅读 0赞

## 设备数据通过Azure Functions 推送到 Power BI 数据大屏进行展示（1.准备工作） ##

原创 Sean Yu 云计算实战 *2019-12-06*

![图片][e4c084bca47694d20f835eec3337252c.png]

本案例适用于开发者入门理解Azure Functions/ IoT Hub / Service Bus / Power BI等几款产品。

![图片][2a1ad04b16f7fadf8817168a2171a00b.png]

主要实战的内容为：

1.  将设备遥测数据上传到物联网中心，
2.  将遥测数据路由到消息中间件的Topic中，
3.  使用Azure Function解析消息中间件Topic中的消息并推送到大屏 。

本文主要是本案例的准备工作，即（第1条和第2条的内容）：

1.创建IoT Hub：

2.创建Service Bus：

3. 创建IoT Hub 消息路由，将遥测消息路由到Service Bus Topic

本示例中的Python Device 代码来自于微软官网，请参照：

https://docs.azure.cn/zh-cn/iot-hub/quickstart-send-telemetry-python

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# Copyright (c) Microsoft. All rights reserved.# Licensed under the MIT license. See LICENSE file in the project root for full license information.
    import randomimport timeimport sys
    # Using the Python Device SDK for IoT Hub:#   https://github.com/Azure/azure-iot-sdk-python# The sample connects to a device-specific MQTT endpoint on your IoT Hub.import iothub_client# pylint: disable=E0611from iothub_client import IoTHubClient, IoTHubClientError, IoTHubTransportProvider, IoTHubClientResultfrom iothub_client import IoTHubMessage, IoTHubMessageDispositionResult, IoTHubError, DeviceMethodReturnValue
    # The device connection string to authenticate the device with your IoT hub.# Using the Azure CLI:# az iot hub device-identity show-connection-string --hub-name {YourIoTHubName} --device-id MyNodeDevice --output tableCONNECTION_STRING = "your device conn string"
    # Using the MQTT protocol.PROTOCOL = IoTHubTransportProvider.MQTTMESSAGE_TIMEOUT = 10000
    # Define the JSON message to send to IoT Hub.TEMPERATURE = 20.0HUMIDITY = 60MSG_TXT = "{\"temperature\": %.2f,\"humidity\": %.2f}"
    def send_confirmation_callback(message, result, user_context):    print ( "IoT Hub responded to message with status: %s" % (result) )
    def iothub_client_init():    # Create an IoT Hub client    client = IoTHubClient(CONNECTION_STRING, PROTOCOL)    return client
    def iothub_client_telemetry_sample_run():
        try:        client = iothub_client_init()        print ( "IoT Hub device sending periodic messages, press Ctrl-C to exit" )
            while True:            # Build the message with simulated telemetry values.            temperature = TEMPERATURE + (random.random() * 15)            humidity = HUMIDITY + (random.random() * 20)            msg_txt_formatted = MSG_TXT % (temperature, humidity)            message = IoTHubMessage(msg_txt_formatted)
                # Add a custom application property to the message.            # An IoT hub can filter on these properties without access to the message body.            prop_map = message.properties()            if temperature > 30:              prop_map.add("temperatureAlert", "true")            else:              prop_map.add("temperatureAlert", "false")
                # Send the message.            print( "Sending message: %s" % message.get_string() )            client.send_event_async(message, send_confirmation_callback, None)            time.sleep(3)
        except IoTHubError as iothub_error:        print ( "Unexpected error %s from IoTHub" % iothub_error )        return    except KeyboardInterrupt:        print ( "IoTHubClient sample stopped" )
    if __name__ == '__main__':    print ( "IoT Hub Quickstart #1 - Simulated device" )    print ( "Press Ctrl-C to exit" )    iothub_client_telemetry_sample_run()

[e4c084bca47694d20f835eec3337252c.png]: /images/20221119/b9158535aa254326971e12b2db02dc6a.png
[2a1ad04b16f7fadf8817168a2171a00b.png]: https://img-blog.csdnimg.cn/img_convert/2a1ad04b16f7fadf8817168a2171a00b.png