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      • GM-3568JHF

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      • MB-E30P

        • Introduction

          • MB-E30P Introduction
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    • ShimetaPi

      • M4-R1

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      • Pico-G1

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          • 08 Region Overlay Application
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        • Expansion Board Peripheral Examples

          • 00 - Pico Expansion Board Peripheral Examples Overview
          • 01 - OLED Display Application
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    • OpenHarmony

      • SC-3568HA

        • Introduction

          • SC-3568HA Overview
        • Quick Start Guide

          • OpenHarmony Overview
          • Image Flashing
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          • Hello World Application and Deployment
        • Application Development

          • ArkUI

            • Introduction to ArkTS Language
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            • Introduction to UI Components and Practical Applications (Part 2)
            • Introduction to UI Components and Practical Applications (Part 3)
          • Expand

            • Getting Started Guide
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            • Command-Line Factory Reset
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            • Chapter 7 Application Testing
        • Device Development

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      • M-K1HSE

        • Introduction

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          • Application Development Environment Setup
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          • 01 Audio
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    • HVS Camera

      • Quick Start

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      • MIPI Modules

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    • AI-model

      • 1684XB-32T

        • Introduction

          • AIBOX-1684XB-32 Introduction
        • Quick Start

          • First Use
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            • ResNet (Image Classification)
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        • Downloads

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      • 1684X-416T

        • Introduction

          • AIBOX-1684X-416 Introduction
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      • RDK-X5

        • Introduction

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          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Color Recognition
            • Experiment 03 - Gesture Recognition
            • Experiment 04 - YOLOv5 Object Detection
      • RDK-S100

        • Introduction

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        • Application Development

          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Image Processing Basics
            • Experiment 03 - Object Detection
            • Experiment 04 - Image Segmentation
      • RK1828

        • Introduction

          • M5-182X-A1 AI Edge Box - Product Introduction
          • M5-182X-A1 Hardware Specifications
          • M5-182X-A1 Usage & Safety
        • Quick Start

          • M5-182X-A1 Image Flashing
          • RK182X Hardware Installation & Verification
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          • Vendor SDK Data Extraction Record
        • Development Guide

          • ClawChips Architecture and Principles
          • SKILL User Manual
          • RK182X Series LLM Inference (RK1828 Model)
          • RK182X Series CNN Inference (RK1828 Model)
          • Model Conversion
          • RK182X AI Agent Application Development Guide
          • RK182X Industrial Anomaly Detection Application
        • SDK Reference

          • RKNN3-SDK Overview

            • RKNN3 SDK Overview
          • RKNN3-Toolkit

            • RKNN3 Toolkit Installation and Usage
          • RKLLM

            • RKLLM On-Device LLM Inference
          • RK182X Series NPU Overview and Architecture (RK1828 Model)
          • RK182X INT8 Quantized Inference Deployment
          • RK182X MPP Multimedia Framework
          • MPP Details

            • RK182X Video Decoding
            • RK182X Video Encoding
          • NPU Details

            • RKNN Model Conversion
            • RK182X NPU INT8 Quantized Inference
            • RK182X Multi-Model Parallel Inference
          • RGA Details

            • RK182X RGA 2D Graphics Acceleration
          • VPU Details

            • RK182X VPU Codec
        • Hardware Reference

          • RK182X Series Hardware Architecture Overview (RK1828 Model)
          • RK182X Pin Definitions and Multiplexing Configuration
          • RK182X Pin Definitions
          • RK182X Power Management
          • RK182X Clock and PLL Configuration
          • RK182X Clock and Frequency Configuration
        • Tutorials

          • Hello World
          • Hello RK1828 - The First Program
          • RTSP Streaming
          • RTSP Streaming + AI Analysis
          • ShiMetaPi AI Lobster One-Click Deployment
          • PaddleOCR-VL Text Recognition
          • Qwen3-1.7B LLM Text Chat
          • AI Multi-View Inspection (Qwen3-VL Wrapper)
          • YOLOv5 Object Detection
        • Downloads

          • Downloads
        • FAQ

          • FAQ
    • Core-Board

      • C-3568BQ

        • Introduction

          • C-3568BQ Overview
      • C-3588LQ

        • Introduction

          • C-3588LQ Overview
      • GC-3568JBAF

        • Introduction

          • GC-3568JBAF Overview
      • C-K1BA

        • Introduction

          • C-K1BA Overview
    • Software Platform

      • ShiMetaPi Workbench

        • Introduction

          • Product Overview
          • Core Architecture
          • Feature Entries
          • Supported Hardware
          • Release Notes
        • Quick Start

          • Install & Login
          • Connect the Device
          • Set Up the Environment
          • Connect to AIHub
          • First Inference
        • User Guide

          • Workspace Overview
          • Device Manager
          • Model Market
          • One-Click Deploy
          • Vision — SVP
          • Vision - Custom Models
          • shimeta-py IDE
          • Terminal
          • Agent Debug Assistant
          • Settings and Resources
        • FAQ

          • Installation & Login
          • Device Connection
          • Models & Deployment
          • Vision & Runtime
          • Settings & Other
      • ShimetaPi Repository

        • Introduction

          • ShimetaPi Software Repository
        • Pico G1 (GK7206)

          • Quick Start

            • Installation & First Inference
            • shimeta_infer — Image Inference
            • shimeta_camera — Real-time Camera Inference
            • SVP Scene Detection
            • File Transfer & Built-in Model Reference
            • FAQ
          • HTTP API & Python SDK

            • HTTP API Reference
      • Model Fine-tuning Platform

        • Introduction

          • Model Training Platform
        • Quick Start

          • Register & Login
          • Create Your First Model (30-Minute Quick Experience)
        • Training Guide

          • Data Preparation & Annotation
          • Training Parameter Configuration
          • Start & Monitor Training
          • Model Evaluation & Testing
        • Model Deployment

          • Export Model
          • Deploy to Edge Device

Wi-Fi Information Acquisition Application Demo

1. Demo Function Overview

The core function of this demo is to implement dynamic/static IP mode switching and network configuration management for the Ethernet of the OpenHarmony device, as follows:

  • Network interface information acquisition: automatically detects the device's active Ethernet interface (such as eth0) and obtains the current IP, gateway, subnet mask, and other configuration of the interface.
  • IP mode switching: through interface buttons, switch between dynamic IP (IP automatically assigned by the router DHCP) and static IP (manually entered specified IP) modes.
  • Configuration validation: after switching modes or modifying the static IP, the interface display is updated in real time and logs are output to verify whether the network configuration was applied successfully.

2. Demo Code Listing

import ethernet from '@ohos.net.ethernet'
import { BusinessError } from '@ohos.base';

@Entry
@Component
struct Index {
  @State message: string = '以太网Demo';
  private  TAG : string = 'ent_Demo'
  @State entModeTest : string = '当前动态Ip'
  @State entName : string = "eth0"
  @State entModeStatus : boolean = true;//动/静态Ip的判断
  @State entMsg : string = ''
  @State entIp : string = ''
  @State entRoute : string = ''
  @State entGateway : string = ''
  @State entMask : string = ''
  @State entDNS : string = ''
  @State entMode : number = 1;

  aboutToAppear(): void {
    this.getAllActiveIfaces();
    this.getIfaceConfig();
  }

  setIfaceConfig(){
    let config: ethernet.InterfaceConfiguration = {
      mode: this.entMode,
      ipAddr: this.entIp,
      route: this.entRoute,
      gateway: this.entGateway,
      netMask: this.entMask,
      dnsServers: this.entDNS
    };

    const setConfigPromise = ethernet.setIfaceConfig("eth0", config);

    setConfigPromise.then(() => {
      console.log(this.TAG,"setIfaceConfig promise ok");
    }).catch((error: BusinessError)  => {
      console.error(this.TAG,"setIfaceConfig promise error = " + JSON.stringify(error));
    });
  }

  getIfaceConfig(){
    ethernet.getIfaceConfig(this.entName).then((data: ethernet.InterfaceConfiguration) => {
      console.log(this.TAG,"getIfaceConfig promise mode = " + data.mode);
      console.log(this.TAG,"getIfaceConfig promise ipAddr = " + JSON.stringify(data.ipAddr));
      console.log(this.TAG,"getIfaceConfig promise route = " + JSON.stringify(data.route));
      console.log(this.TAG,"getIfaceConfig promise gateway = " + JSON.stringify(data.gateway));
      console.log(this.TAG,"getIfaceConfig promise netMask = " + JSON.stringify(data.netMask));
      console.log(this.TAG,"getIfaceConfig promise dnsServers = " + JSON.stringify(data.dnsServers));
      if (data.mode == 0) {
        this.entModeStatus = false;
      }else {
        this.entModeStatus = true
      }
        this.entMode = data.mode
        this.entMsg = JSON.stringify(data).toString();
        this.entRoute = data.route.toString();
        this.entGateway = data.gateway.toString();
        this.entMask = data.netMask.toString();
        this.entDNS = data.dnsServers.toString();
    }).catch((error: BusinessError) => {
      console.error(this.TAG,"getIfaceConfig promise error = " + JSON.stringify(error));
    });
  }

  isIfaceActive(){
    ethernet.isIfaceActive("eth0").then((data: number) => {
      console.log(this.TAG,"isIfaceActive promise = " + JSON.stringify(data));
    }).catch((error: BusinessError) => {
      console.log(this.TAG,"isIfaceActive promise error = " + JSON.stringify(error));
    });
  }

  getAllActiveIfaces(){
    ethernet.getAllActiveIfaces().then((data: string[]) => {
      console.log(this.TAG,"getAllActiveIfaces promise data.length = " + JSON.stringify(data.length));
      if (JSON.stringify(data.length) == '1' ) {
        console.log(this.TAG,'data.length')
      }
      for (let i = 0; i < data.length; i++) {
        console.log(this.TAG,"getAllActiveIfaces promise  = " + JSON.stringify(data[i]));
      }
    }).catch((error:BusinessError) => {
      console.error(this.TAG,"getAllActiveIfaces promise error = " + JSON.stringify(error));
    });
  }

  build() {
    Column() {
      Text(this.message)
        .fontSize(50)
        .fontWeight(FontWeight.Bold)
        .padding(20)
      Button('点击切换动/静态IP')
        .onClick(()=>{
          if (this.entMode == 0) {
            this.entMode = 1;
            this.entModeTest = '当前动态Ip'
            this.entModeStatus = true;
          }else{
            this.entMode = 0;
            this.entModeTest = '当前静态Ip'
            this.entModeStatus = false;
          }
          this.setIfaceConfig();
          this.getIfaceConfig();
        })
        if (this.entModeStatus){
          Column(){
            TextInput({placeholder : '静态Ip'})
              .onChange((value : string)=>{
                this.entIp = value
              })
          }
          .height(80)
          .width(300)
          .padding(10)
          .margin(10)
        }
      Text(this.entModeTest)
        .fontSize(50)
        .fontWeight(FontWeight.Bold)
        .padding(30)
      Column(){
        Text('网口信息')
        Blank()
        Text(this.entMsg)
      }
      .height(80)
      .padding(10)
    }
    .width('100%')
  }
}

3. Demo Source Code and HAP Package Acquisition

3.1 Demo Source Code Acquisition

  1. Download EntDemo_API12.zip from the Baidu Netdisk materials. Link: Extraction code:
ENT

Note:

Project path:ShimetaPi OpenHarmony Materials>SC-3568HA>05-Development Materials>01-OpenHarmory Development Materials>APP Demo>EntDemo_API12.zip

  1. After extracting the compressed package, open the project through DevEco Studio to view the source code.

3.2 Demo HAP Package Acquisition

  1. Download EntDemo_API12.hap from the Baidu Netdisk materials. Link: Extraction code:
ENT

Note:

File path:ShimetaPi OpenHarmony Materials>SC-3568HA>05-Development Materials>01-OpenHarmory Development Materials>APP Demo>Hap_Package>EntDemo_API12.hap

  1. The HAP installation process for this demo is the same as the previous serial-debug-assistant and writing-board demos, and will not be repeated here.

4. Demo Function Introduction

  1. Click the desktop icon to enter the application interface.
ENT

Note:

When using this application, the development board must be connected to a PC or router via a network cable.

  1. The application interface is as follows:
ENT

It defaults to dynamic IP display, and the network-interface information section at the bottom shows the current interface configuration (IP, gateway, subnet mask, etc.).

  1. You can view this information in the log area of the DevEco Studio software, as follows:
ENT

The network-interface information contains two parts: all currently active interfaces and the current interface's configuration information.

  • data.length = 1 and eth0 indicate that the device has 1 active interface named eth0 (consistent with entName in the code; no need to modify).
  • Exception: if data.length = 0, check whether the network cable is firmly plugged in, whether the router is powered on, or whether the device's network port is damaged.
  • mode = 1 indicates that the current mode is dynamic IP (1 = dynamic, 0 = static), ipAddr is the IP assigned by the router via DHCP, and gateway is the router gateway. These values being non-empty indicates that initialization succeeded.
  1. The application also supports switching between dynamic and static IP, as follows: ① Fill in the interface IP at "static ip", taking "192.168.102.43" as an example. ② Click the switch button. At this point, the switch from dynamic IP to static IP is complete, and the network-interface information section at the bottom will be updated synchronously.
ENT
  1. You can also view this information in the log area of the DevEco Studio software.

Displaying "ent _Demo setIfaceconfig promise ok" indicates that the switch succeeded.

ENT

At the same time, the displayed network-interface information is also updated synchronously, and the "ipAddr" should be the IP you set yourself.

ENT

Note:

Common error interpretation:

  • Permission denied: check whether SET_NETWORK_INFO and GET_NETWORK_INFO permissions are added in module.json5.
  • Interface not found: the interface name may not be eth0. Use the device command line ifconfig to view the actual interface name (such as eth1) and modify the entName variable in the code.
  • Invalid configuration: static IP format error (such as 192.168.1.256), or the gateway and IP are not in the same network segment.
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