MQTT IoT Suite Product Introduction
Profile Architecture Advantages Definitions
QuickStart
Account and Login
Products and Devices
Create Product Create Device
Device Connection
User Guide
Data Stream and Data Point Protocol Adaptation Service
Service Introduction Operation Process Development Guide Examples
Device Image
Service Introduction Console Usage
Rule Engine
Service Introduction Rule Configuration Basic Data Format SQL Built-in Function
Security Authentication
Overview Token Algorithm Token Generator Algorithm Examples
java python
Application Management
Service Introduction Controls Introduction Operating Instructions
Device Development Guide
Protocol Specifications Development Guide Development Examples Topic Cluster
Overview Data Point Topic Cluster Device Command Topic Cluster Device Image Topic Cluster
Application Development Guide
Use of API Error Code API
Query Device Register Device Remove Device Update Device Key Device Command Query Device Image Update Device Image Query Device Data Points
Best Practices
Device Connection Upload Data Points Device Synchronization Command Device Image
Change Log

Data streams and data points

The platform organizes uplink data by data streams and data points, as shown below:

数据流与数据点

Data Storage

When a device uploads and stores data, it must upload data in the format of key-value, where key refers to the name of data stream and value refers to the actually stored data point and can come in many user-defined formats such as int, float, string and json.

In practice, data streams can be used to classify and describe certain attribute data of a device, such as temperature, humidity, coordinates and other information. Users can customize the range of data streams and classify highly correlated data as a data stream.

Streaming data are stored in chronological order by default, and users can query the values of data points from the data stream at different times, as shown below:

数据流与数据点

Users can query historical device data points using APIs. Please see API for details.

Data Flow Direction

Streaming data can flow to subsequent services while being stored. Users can configure the flow direction of a data stream using a rule engine. Please refer to the Rule Engine for more details.

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