Projecting/displaying online environmental data (such as temperature, humidity, air quality, noise, energy consumption, and meteorological data) onto an LED display screen in real time typically requires establishing a seamless flow between "data → visualization content → LED control signals." The following section explains this process in terms of architecture, implementation steps, and common solutions.
I. Overall Architecture (From Data to LED)
Typical Process:
Data Sources
Online Environmental Sensors (Temperature, Humidity, PM2.5, CO₂, Noise, etc.)
Third-Party Platform APIs (Meteorological Bureau, Environmental Protection Platform, Enterprise IoT Platform)
Local Devices (PLC, Gateway)
Data Acquisition/Access
MQTT / HTTP / WebSocket
IoT Gateway or Cloud Platform (Alibaba Cloud IoT, ThingsBoard, etc.)
Data Processing and Visualization
Backend Services (Python / Node.js / Java)
Visualization Pages (HTML5, Canvas, ECharts)
LED Display Control
LED Control Cards (Nova, Lingxingyu, Carlette, etc.)
Playback Software or Secondary Development Interface
Final Output to LED Display Screen
II. Three Mainstream Implementation Solutions (by Complexity)
✅ Solution 1: Web Visualization + Synchronous LED Display (Most Commonly Used)
Suitable for: Real-time Large Screens, Data Dashboards, Exhibition Halls
Implementation:
Using HTML5 + ECharts Create a real-time data dashboard webpage
LED display configuration:
Extended screen / Mirrored screen
Or directly play a webpage (some control cards support URLs)
Advantages:
Flexible development, stunning effects
Supports dynamic charts, maps, and animations
Key points:
Screen resolution matches LED module
Automatic browser refresh / WebSocket real-time push
✅ Solution Two: Direct connection via LED control card SDK / protocol (industrial grade)
Suitable for: Factories, outdoor announcements, stable operation 7x24
Implementation:
Backend program (Python / C# / Java)
Through control card SDK or protocol
Directly distribute:
Text
Values
Simple graphics
Example logic:
Get PM2.5 → Determine level → Update LED text
Advantages:
Stable, low latency
Not browser dependent
Disadvantages:
Relatively simple visual effects
✅ Solution Three: Third-party IoT platform + LED plugin
Suitable for: Rapid deployment, low development cost
Example:
Alibaba Cloud IoT + LED Information Dissemination
Smart Park/Smart Construction Site Integrated Solution
Advantages:
Configuration-oriented, minimal development required
Simple maintenance
Disadvantages:
Limited customization capabilities
Platform dependency
III. Key Technical Points
1️⃣ Data Acquisition
Sensor → MQTT (most common)
Third-party → REST API (timed fetching)
2️⃣ Real-time Performance
WebSocket / MQTT push (second-level)
Timed refresh (5–60 seconds)
3️⃣ LED Resolution Adaptation
LEDs are dot matrix displays
Webpage size must strictly match (e.g., 1920×1080, 1024×256)
4️⃣ Network Method
LAN (most stable)
4G/5G (outdoor screen)
Cloud relay
IV. A Simple Implementation Example (Idea)
Scenario: Displaying temperature, humidity + air quality
Sensor → MQTT → Server
Server caches the latest data
LED Display:
Method A: Open http://data-screen in your browser
Method B: Update text by calling the control card interface through the program
LED content example:
Temperature: 26.3℃
Humidity: 58%
PM2.5: 42 (Good)
Update time: 14:32