Technical Guide to Building a Real-Time Data Visualization Dashboard with Echarts and Java Backend

1. Effect Diagram Showcase

1) Dynamic real‑time data update diagram

2) Right‑click to switch theme

2. Requirement Specification

1) Determine screen LED resolution for product deployment

In this case the dashboard uses a 16:9 aspect ratio and occupies the full screen (F11).

2) Deployment method

Based on a portable executable that runs on Windows, Linux, macOS and other OSes; simply copy the program to a server without additional environment dependencies.

Viewing options: run the program directly on the server or open it remotely via a browser such as Chrome or 360.

3. Overall Architecture Design

Front end built with the open‑source Echarts library, edited in WebStorm.

Back end implemented with Java Web, edited in IntelliJ IDEA.

Data exchange format: JSON.

Data source: currently JSON files; adding MyBatis enables PostgreSQL, MySQL, Oracle, SQL Server, SQLite; adding POI supports Excel; HTTP API can also be customized.

Data update: HTTP GET polling; alternatively, real‑time push from back end can be used.

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4. Development Configuration & Code Structure Explanation

1) Java development environment configuration

After configuration, generate the project and download the package.

2) JSON library configuration

Using Alibaba's FastJSON library, add the following dependency to pom.xml :

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>fastjson</artifactId>
    <version>1.2.51</version>
</dependency>

3) Code structure explanation

a) Static paths

b) Java directory

c) Port configuration

4) Startup command

5) Browser access

Enter the URL in a browser (port is the server.port value defined in application.properties ) such as http://localhost:80xx to view the dashboard.

5. Source Code Acquisition

Scan the QR code below and reply with the keyword 大屏 to receive the full system source code, or click the public account link to add directly.