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  • Product Series

    • FPGA+ARM

      • GM-3568JHF

        • Introduction

          • GM-3568JHF Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Notes
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing System Information
          • Test Commands
          • Application Compilation
          • Source Code Access
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • Serial Port
          • CAN
          • RTC
        • Application Development

          • UART Read/Write Demo
          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • GPS Debugging Demo
          • Ethernet Test Demo
          • RS485 Read/Write Demo
          • FPGA I2C Read/Write Demo
          • PN532 NFC Card-Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to Boot Auto-Start
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Services
        • Downloads

          • Downloads
      • MB-E30P

        • Introduction

          • MB-E30P Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Instructions
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing Information
          • Test Commands
          • Application Compilation
          • Source Code Acquisition
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • RTC
        • Application Development

          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • Ethernet Test Demo
          • FPGA IIC Read/Write Demo
          • PN532 NFC Card Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to the Boot Auto-Start Service
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
          • Model Conversion In Detail
          • Run Custom Models on the Board
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Service
        • Downloads

          • Downloads
    • ShimetaPi

      • M4-R1

        • Introduction

          • M4-R1 Introduction
        • Quick Start

          • OpenHarmony Overview
          • Image Burning
          • Application Development Quick Start
          • Device Development Quick Start
        • Application Development

          • ArkUI

            • ArkTS Language Overview
            • UI Components - Row Container Introduction
            • UI Components - Column Container Introduction
            • UI Components - Text Component
            • UI Components - Toggle Component
            • UI Components - Slider Component
            • UI Components - Animation Component & Transition Component
          • Documentation

            • OpenHarmony Official Materials
          • Development Notes

            • Full-SDK Replacement Tutorial
            • Introducing and Using Third-Party Libraries
            • HDC Debugging
            • Restore Factory Mode via Command Line
            • Upgrade App to System Permission
          • First App

            • Build Your First ArkTS Application - HelloWorld
          • Demos

            • Serial-Debug-Assistant Application Demo
            • Writing-Board Application Demo
            • Digital Clock Application Demo
            • Wi-Fi Information Acquisition Application Demo
        • Device Development

          • Ubuntu Development

            • Environment Setup
            • Download Source Code
            • Compile Source Code
          • DevEco Device Tool

            • Tool Introduction
            • Development Environment Construction
            • Import the SDK
            • HUAWEI DevEco Tool Function Introduction
        • Kernel Peripherals & Interfaces

          • Guide
          • Device Tree Introduction
          • NAPI Introduction
          • ArkTS Introduction
          • NAPI Development Hands-on Demo
          • GPIO Introduction
          • I2C Communication
          • SPI Communication
          • PWM Control
          • UART Communication
          • TF Card (MicroSD)
          • Screen (Display)
          • Touch
          • Ethernet
          • M.2 SSD
          • Audio
          • WIFI & BT
          • Camera
        • Downloads

          • Downloads
      • M5-R1

        • Introduction

          • M5-R1 Development Docs
        • Quick Start

          • Image Burning
          • Environment Setup
          • Download Source Code
        • Peripherals & Interfaces

          • Raspberry Pi Interfaces
          • GPIO Interface
          • I2C Interface
          • SPI Communication
          • PWM Control
          • Serial Port Communication
          • TF Card
          • Display
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI & BT
        • Downloads

          • Downloads
      • Pico-G1

        • Product Overview

          • Product Introduction
          • SDK Version Information
        • Quick Start

          • Development Environment Setup
          • Image Build
          • Image Flashing
          • System Login
          • Network Configuration
          • File Transfer
          • SDK Directory Structure
          • Deploying Your First Application
          • Deploying Your First Driver
          • Mounting an SD Card
        • Peripherals & Interfaces

          • GPIO Control
          • UART Serial Communication
          • I2C Communication
          • SPI Communication
        • MPP Media Development

          • MPP Media Processing Software
          • Image Processing Chain
          • Video Input
          • Image Encoding
        • NPU & AI

          • NPU Driver and Runtime Library Architecture
          • .xmm Model Loading
          • SVP Video Processing
          • AI Noise Reduction (AI_NR)
        • Application Samples

          • Encryption/Decryption Application
          • ADC Acquisition Application
          • Low-Power Application
          • Audio Processing Application
          • Video Encoding Application
          • Video Input Application
          • Video Graphics Subsystem (VGS) Application
          • 08 Region Overlay Application
          • 09 Intelligent Video Engine Application
          • 10 UVC Webcam Application
          • 11 All-in-One Quickstart Application
          • 12 FPN Correction Application
          • 13 Regional Motion Detection Application
          • 14 MTCNN Face Detection Application
        • Expansion Board Peripheral Examples

          • 00 - Pico Expansion Board Peripheral Examples Overview
          • 01 - OLED Display Application
          • 02 - TFT Display Application
          • 03 - MPU6050 Gyroscope Application
          • 04 - ADC Acquisition Application
          • 05 - Passive Buzzer Application
          • 06 - MQ Gas Sensor Application
          • 07 - GPS Positioning Application
          • 08 - SHT20 Temperature & Humidity Application
          • 09 - Ultrasonic Ranging Application
          • 10 - SpO2 Sensor Application
          • 11 - DC Motor Control Application
          • 12 - Servo Control Application
    • OpenHarmony

      • SC-3568HA

        • Introduction

          • SC-3568HA Overview
        • Quick Start Guide

          • OpenHarmony Overview
          • Image Flashing
          • Setting Up the Development Environment
          • Hello World Application and Deployment
        • Application Development

          • ArkUI

            • Introduction to ArkTS Language
            • Introduction to UI Components and Practical Applications (Part 1)
            • Introduction to UI Components and Practical Applications (Part 2)
            • Introduction to UI Components and Practical Applications (Part 3)
          • Expand

            • Getting Started Guide
            • Referencing and Using Third-Party Libraries
            • Application Compilation and Deployment
            • Command-Line Factory Reset
            • System Debugging -- HDC Debugging
            • APP Stability Testing
            • Chapter 7 Application Testing
        • Device Development

          • Environment Setup
          • Download Source Code
          • Compiling Source Code
        • Peripheral And Interface

          • Raspberry Pi interface
          • GPIO Interface
          • I2C Interface
          • SPI communication
          • PWM (Pulse Width Modulation) control
          • Serial port communication
          • TF Card
          • Display Screen
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI&BT
          • Raspberry Pi expansion board
        • Downloads

          • Downloads
      • M-K1HSE

        • Introduction

          • M-K1HSE Introduction
        • Quick Start

          • Development environment construction
          • Source code acquisition
          • Compilation Notes
          • Burning Guide
        • Application Development

          • Application Development Environment Setup
          • First Application - Hello World
        • Peripherals and interfaces

          • 01 Audio
          • 02 RS485
          • 03 Display
        • System customization development

          • System transplant
          • System customization
          • Driver Development
          • System Debugging
          • OTA Update
        • Downloads

          • Downloads
    • HVS Camera

      • Quick Start

        • SDK Overview
        • Downloads
        • Your First C++ Program
        • Python Data Analysis
        • MultiVision Studio
      • Development

        • Programming Guides

          • Open Camera
          • Read Events
          • Recording & Replay
          • Event Processing (Denoising)
          • Display & Visualization
          • Tuning
          • Capture APS Image
        • Toolkit SDK

          • Hybrid Vision Toolkit
          • Quick Start
          • C++ API
          • Python API
        • Algorithm

          • Hybrid Vision Algo
          • Hybrid Vision Algo API
          • Windows Algo SDK
        • Samples Overview
        • Applications
      • Fundamentals

        • Event Camera Fundamentals
        • HVS Hybrid Vision
        • Event Visualization
        • Data Formats Reference
        • Glossary
        • Bias & Tuning
        • Video Tutorials
      • USB Cameras

        • HVS Camera Quick Start
        • Networking Capabilities

          • HVS Camera System Architecture
          • EVS Network Server
          • EVS Time Sync
          • Web Window
        • HVS Camera Compatibility Matrix
        • FAQ & Troubleshooting Guide
        • Products

          • CF-NRS1 (Lingguang No.1 Hybrid Vision Camera)
      • MIPI Modules

        • MIPI Module Quick Start
        • Carrier Boards

          • RDK X5 Carrier Board Adaptation
          • Raspberry Pi Carrier Board Adaptation
          • Digua Pi Carrier Board Adaptation
          • ShimeTai Board Carrier Board Adaptation
        • MIPI Module Compatibility Matrix
        • Products

          • EVS_003 Sensor Module
    • AI-model

      • 1684XB-32T

        • Introduction

          • AIBOX-1684XB-32 Introduction
        • Quick Start

          • First Use
          • Network Configuration
          • Disk Usage
          • Memory Allocation
          • Fan Control Strategy
          • Firmware Upgrade
          • Cross Compilation
          • Model Quantization
        • Application Development

          • Development Overview

            • Sophgo SDK Development
            • Sophgo Demo Introduction
          • Large Language Models

            • Deploying Llama3 Example
            • Sophon LLM_api_server Development
            • Deploying MiniCPM-V-2_6
            • Qwen-2-5-VL Image and Video Recognition Demo
            • Qwen3-chat Demo
            • Qwen3-Qwen Agent-MCP Development
            • Qwen3-langchain-AI Agent
          • Deep Learning

            • ResNet (Image Classification)
            • LPRNet (License Plate Recognition)
            • SAM (General Image Segmentation Foundation Model)
            • YOLOv5 (Object Detection)
            • OpenPose (Human Keypoint Detection)
            • PP-OCR (Optical Character Recognition)
        • Downloads

          • Downloads
      • 1684X-416T

        • Introduction

          • AIBOX-1684X-416 Introduction
        • Demo Quick Guide

          • ShimeTai Intelligent Monitoring Demo Quick Usage Guide
      • RDK-X5

        • Introduction

          • RDK-X5 Hardware Introduction
        • Quick Start

          • RDK-X5 Quick Start
        • 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 - Color Recognition
            • Experiment 03 - Gesture Recognition
            • Experiment 04 - YOLOv5 Object Detection
      • RDK-S100

        • Introduction

          • RDK-S100 Hardware Introduction
        • Quick Start

          • RDK-S100 Quick Start
        • 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
          • RK182X Development Environment Quick Setup
          • RK182X SDK Overview
          • RK182X Environment Setup in Detail
          • RK182X Quick Start
          • 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

SPI Communication

1 SPI Introduction

For the basic concepts of SPI (serial peripheral interface), refer to the blog: CSDN Blog Article

Compared with I2C communication, SPI communication is straightforward and brute-force: whatever signal is needed, a wire is added for it; even the chip-select signal has its own dedicated signal line, and the benefits are obvious. Because signals are driven directly rather than pulling up the signal line to output a high level to prevent device damage as in I2C, the communication rate can be much higher than I2C. The RK3568 used on this board can reach a maximum theoretical rate of 50MHz in master mode and 33MHz in slave mode.

2 SPI Board Interface

SPI板卡接口

The SPI pin exposed on the board is SPI3.

SPI板卡接口

3 SPI Usage — Command-Line Method

3-1 Device-Tree Analysis

Tips

For the file paths below: out/kernel/src_tmp/linux-5.10/arch/arm64/boot/dts/rockchip/ requires compiling the source code first.

As in the previous section, we first look in the rk3568.dtsi file; the basic definition of the SPI3 controller is as follows:

spi3: spi@fe640000 {
    compatible = "rockchip,rk3066-spi";
    reg = <0x0 0xfe640000 0x0 0x1000>;
    interrupts = <GIC_SPI 106 IRQ_TYPE_LEVEL_HIGH>;
    #address-cells = <1>;
    #size-cells = <0>;
    clocks = <&cru CLK_SPI3>, <&cru PCLK_SPI3>;
    clock-names = "spiclk", "apb_pclk";
    dmas = <&dmac0 26>, <&dmac0 27>;
    dma-names = "tx", "rx";
    pinctrl-names = "default", "high_speed";
    pinctrl-0 = <&spi3m0_cs0 &spi3m0_cs1 &spi3m0_pins>;
    pinctrl-1 = <&spi3m0_cs0 &spi3m0_cs1 &spi3m0_pins_hs>;
    status = "disabled";
};

Key-property analysis:

  • compatible: specifies the SPI controller compatibility as "rockchip,rk3066-spi"
  • reg: the SPI3 controller register base address is 0xfe640000, with a size of 4KB
  • interrupts: interrupt number is 106, triggered on high level
  • clocks: configures the SPI clock and APB clock
  • dmas: DMA channel configuration, supporting transmit and receive
  • pinctrl-0: default pin-multiplexing configuration (using m0 mode)
  • status: default state is "disabled" (disabled)

Then check the pin-multiplexing configuration of SPI3 in the pinctrl subsystem, in the rk3568-pinctrl.dtsi file:

SPI3 M1模式引脚配置(SDK代码中使用的模式):

spi3m1_pins: spi3m1-pins {
    rockchip,pins =
        /* spi3_clkm1 */
        <4 RK_PC2 2 &pcfg_pull_none>,
        /* spi3_misom1 */
        <4 RK_PC5 2 &pcfg_pull_none>,
        /* spi3_mosim1 */
        <4 RK_PC3 2 &pcfg_pull_none>;
};

spi3m1_cs0: spi3m1-cs0 {
    rockchip,pins =
        /* spi3_cs0m1 */
        <4 RK_PC6 2 &pcfg_pull_none>;
};

spi3m1_pins_hs: spi3m1-pins {
    rockchip,pins =
        /* spi3_clkm1 */
        <4 RK_PC2 2 &pcfg_pull_up_drv_level_1>,
        /* spi3_misom1 */
        <4 RK_PC5 2 &pcfg_pull_up_drv_level_1>,
        /* spi3_mosim1 */
        <4 RK_PC3 2 &pcfg_pull_up_drv_level_1>;
};

Pin allocation:

  • CLK (clock line): GPIO4_PC2, function-multiplex mode 2
  • MISO (Master In Slave Out): GPIO4_PC5, function-multiplex mode 2
  • MOSI (Master Out Slave In): GPIO4_PC3, function-multiplex mode 2
  • CS0 (chip select 0): GPIO4_PC6, function-multiplex mode 2

Finally, look at the specific configuration of SPI3 in the board-level file:

&spi3 {
    status = "okay";
    pinctrl-0 = <&spi3m1_cs0  &spi3m1_pins>;
    pinctrl-1 = <&spi3m1_cs0  &spi3m1_pins_hs>;
    spidev:spidev@0 {
        compatible = "rockchip,spidev";
        reg = <0>;
        spi-max-frequency = <10000000>;
        status = "okay";
    };
};

A brief introduction to the above device tree:

Pin-multiplexing configuration

  • pinctrl-0: pin configuration for the default speed mode (using m1 mode)
  • pinctrl-1: pin configuration for high-speed mode (enhanced drive capability)

spidev device configuration

  • compatible = "rockchip,spidev": use Rockchip's generic SPI device driver
  • reg = <0>: device address is 0 (corresponding to CS0 chip select)
  • spi-max-frequency = <10000000>: maximum SPI clock frequency is 10MHz

3-2 Application-Layer Method for Operating SPI

In the provided SDK, an SPI test program spi_selftest has been written on the rk3568 platform. The master sends "hello the world !", and with MOSI and MISO shorted, the receiving end checks whether the data is normal. It helps developers verify whether the SPI controller's driver is working properly and whether the hardware connection is correct. You only need to enter the target spi device and run the following command:

spi_selftest /dev/spidevxx

3-3 Specific Function Demo

Now use the above command to test the SPI3 mounted on the board:

First short the MOSI and MISO interfaces on the board:

SPI短接MOSI和MISO

Enter spi_selftest /dev/spidev3.0 in the terminal to test whether data transmit/receive is normal:

SPI测试命令

Successfully received the sent bytes:

SPI不短接

Remove the shorting jumper, then enter the spi_selftest /dev/spidev3.0 command to test:

SPI测试失败结果

At this point, the received value is garbled, as expected.

4 SPI Usage — NAPI Method

Materials Path

hap package: \05-Development Materials\01-OpenHarmory Development Materials\Peripheral Test APP\HAP\SPI_TEST.hap

Project source code: \05-Development Materials\01-OpenHarmory Development Materials\Peripheral Test APP\SRC\SPI_TEST

Same as the command line in the previous section, the test command we use is spi_selftest /dev/spidev3.0.

4-1 Test Environment Preparation

First we need to connect to the development board via the hdc tool and grant read/write permission to the system nodes to be operated:

mount -o remount,rw /
chmod 777 /system/bin/spi_selftest
chmod 777 /dev/spidev3.0

Because system is a system file and is generally read-only, you need to first change the root directory / permission to read/write before you can change the permissions of the test-command directory /system/bin/spi_selftest and the SPI device directory /dev/spidev3.0 to 777.

4-2 SPI Device Test APP Usage Introduction

Below is an introduction to the SPI device test APP created using NAPI:

After entering the program, there is a drop-down box for selecting the SPI device.

(The board only exposes spidev3.0, so here we select /dev/spidev3.0 for testing):

SPI设备选择

Click the SPI test button:

SPI测试按键

If you short the SPI's MOSI and MISO, the received terminal data will be printed below. If the sent and received data are consistent, it prints SPI device test success:

SPI测试成功

Correspondingly, when you remove the jumper cap from the SPI's MOSI and MISO, the received terminal data will be printed below, and the received display will be garbled, indicating that the SPI device test failed:

SPI测试失败

4-3 NAPI Underlying C Function Introduction

Considering that most friends may not have a good foundation in Linux system programming, here is a brief explanation of the underlying C function that implements NAPI. First, the source code:

// 执行SPI自测试命令
static napi_value SPI_Test(napi_env env, napi_callback_info info)
{
    size_t argc = 1;
    napi_value args[1];
    napi_get_cb_info(env, info, &argc, args, nullptr, nullptr);

    if (argc < 1) {
        napi_throw_error(env, nullptr, "Expected 1 argument: SPI device path (e.g., /dev/spidev3.0)");
        return nullptr;
    }

    // 获取SPI设备路径参数
    size_t str_size;
    napi_get_value_string_utf8(env, args[0], nullptr, 0, &str_size);
    char* spi_device = (char*)malloc(str_size + 1);
    napi_get_value_string_utf8(env, args[0], spi_device, str_size + 1, &str_size);

    OH_LOG_Print(LOG_APP, LOG_INFO, GLOBAL_RESMGR, SPI_TAG,
                       "Starting SPI test for device: %{public}s", spi_device);

    // 创建管道用于读取命令输出
    int pipefd[2];
    if (pipe(pipefd) == -1) {
        OH_LOG_Print(LOG_APP, LOG_ERROR, GLOBAL_RESMGR, SPI_TAG,
                           "Failed to create pipe: %{public}s", strerror(errno));
        free(spi_device);
        napi_throw_error(env, nullptr, "Failed to create pipe");
        return nullptr;
    }

    pid_t pid = fork();
    if (pid == -1) {
        OH_LOG_Print(LOG_APP, LOG_ERROR, GLOBAL_RESMGR, SPI_TAG,
                           "Failed to fork process: %{public}s", strerror(errno));
        close(pipefd[0]);
        close(pipefd[1]);
        free(spi_device);
        napi_throw_error(env, nullptr, "Failed to fork process");
        return nullptr;
    }

    if (pid == 0) {
        // 子进程:执行spi_selftest命令
        close(pipefd[0]); // 关闭读端
        dup2(pipefd[1], STDOUT_FILENO); // 重定向stdout到管道(写入的数据传入标准输出(fd=1))
        dup2(pipefd[1], STDERR_FILENO); // 重定向stderr到管道(写入的数据传入标准错误(fd=2))
        close(pipefd[1]);

        // 执行spi_selftest命令.如果成功不会返回,失败了才会执行后续的操作
        execl("/system/bin/spi_selftest", "spi_selftest", spi_device, (char*)NULL);

        // 如果execl失败,输出错误信息
        fprintf(stderr, "Failed to execute spi_selftest: %s\n", strerror(errno));
        exit(1);
    } else {
        // 父进程:读取命令输出
        close(pipefd[1]); // 关闭写端

        // 读取输出
        char buffer[4096] = {0};
        ssize_t total_read = 0;
        ssize_t bytes_read;

        while ((bytes_read = read(pipefd[0], buffer + total_read, sizeof(buffer) - total_read - 1)) > 0) {
            total_read += bytes_read;
            if (total_read >= sizeof(buffer) - 1) {
                break;
            }
        }

        close(pipefd[0]);

        // 等待子进程结束
        int status;
        waitpid(pid, &status, 0);

        buffer[total_read] = '\0';

        OH_LOG_Print(LOG_APP, LOG_INFO, GLOBAL_RESMGR, SPI_TAG,
                           "SPI test output: %{public}s", buffer);

        free(spi_device);

        // 返回命令输出结果
        napi_value result;
        napi_create_string_utf8(env, buffer, NAPI_AUTO_LENGTH, &result);
        return result;
    }
}

To successfully capture the complete output, we designed a child process here to execute the test command, and the other process (the parent process) only needs to read the child process's output, improving the system's real-time performance and preventing one process from "sending and receiving itself", which would cause data loss or program exceptions.

Program Explanation

Below is a detailed explanation of the program:

  1. First, call the function napi_get_cb_info to obtain the parameter passed in from the JavaScript side, that is, the device path.
  2. Use the function napi_get_value_string_utf8 twice to get the length of the received string and then convert it to a C string.
  3. int pipefd[2]; creates a pipe for communication between the parent and child processes; pipefd[0] is for reading, and pipefd[1] is for writing.
  4. Use fork() to create a child process; the child process has pid==0, and the parent process has pid>0.
  5. The child-process function is responsible for writing commands. Through dup2, the data to be written is redirected to the standard output STDOUT_FILENO (fd==1) and the standard error STDERR_FILENO (fd==2) respectively; then use the function execl("/system/bin/spi_selftest", "spi_selftest", spi_device, (char*)NULL); to execute the SPI test command at the specified path. Note that this function, when executed, opens another process specifically for this task, and does not return after success!
  6. The parent process reads data in a loop and saves the content to the buffer. read() returns the number of bytes read; if it is greater than 0, it indicates successful reading of data. When the child process closes the write end, read() returns 0, and the loop ends.
  7. After waiting for the child program to end, convert the read data into a JavaScript string and return it.

For the rest of the code, you can refer to the provided source code!

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