5G来了，广连接（mmTC）可以实现每平方千米100万的连接数（理论值），是4G的10倍，5G网络出现，配合其他技术，空间将在数据意义上剧烈压缩，车联网、智能家居、智能安防、智慧工厂、智慧能源都可能带来质的变化。那么随之而来的物联设备的数据也会几何级增长，大量的模拟量数据，开关量数据的存储，查询，可视化将会带来新的挑战。

基于时间序列的时序数据库几乎是专为这样的场景设计的，通过对时间的索引，可以加快查询，那么Azure上是否有类似的产品呢？答案是Azure Time Series Insights。

一. 时序数据库的基本概念

B站视频： https://www.bilibili.com/video/av76278175?p=1

二.实战Azure Time Series Insights

B站视频：https://www.bilibili.com/video/av76278175?p=2

创建IoT Hub；

创建时序见解；

从IoT Hub接收据；

在UI上查询数据；

三. 通过API 调用时序数据

B站视频：https://www.bilibili.com/video/av76278175?p=3

案例中用到的Python模拟器代码：

可参考官网教程：https://docs.azure.cn/zh-cn/iot-hub/quickstart-send-telemetry-python

import random
import time

# 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.
from azure.iot.device import IoTHubDeviceClient, Message

# 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 table
CONNECTION_STRING = "your device conn string"

# Define the JSON message to send to IoT Hub.
TEMPERATURE = 120.0
HUMIDITY = 160
MSG_TXT = '{{"temperature": {temperature},"humidity": {humidity}}}'

def iothub_client_init():
    # Create an IoT Hub client
    client = IoTHubDeviceClient.create_from_connection_string(CONNECTION_STRING)
    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.format(temperature=temperature, humidity=humidity)
            message = Message(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.
            if temperature > 30:
              message.custom_properties["temperatureAlert"] = "true"
            else:
              message.custom_properties["temperatureAlert"] = "false"

            # Send the message.
            print( "Sending message: {}".format(message) )
            client.send_message(message)
            print ( "Message successfully sent" )
            time.sleep(1)

    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()

IoT Specialty/Microsoft MVP/MCT

Azure Time Series Insights-时序见解

一. 时序数据库的基本概念

二.实战Azure Time Series Insights

三. 通过API 调用时序数据