K230 Linux开发环境搭建

1 官方教程

参考官方教程
使用Ubuntu20.04系统搭建环境,进行K230开发板Liunx编译环境搭建,记录遇到的问题。

2 SDK编译

  1. Setp 1:获取 SDK开发包
 git clone https://gitee.com/kendryte/k230_sdk.git

**3. Step 2:进入SDK根目录

cd k230_sdk
  1. Step 3:下载toolchain
source tools/get_download_url.sh && make prepare_sourcecode
  1. Step 4:生成docker镜像(第一次编译需要,已经生成docker镜像后跳过此步骤).(在进行这一步时遇到问题,参考网上搭建docker的教程,大部分docker源无法使用,需要找个能用的,同时tools/docker/Dockerfile文件内的ubuntu清华源也无法使用,替换或者屏蔽)
docker build -f tools/docker/Dockerfile -t k230_docker tools/docker

我因为已更换源,Dockerfile文件直接屏蔽以下内容:

config ubuntu local apt source
RUN cp /etc/apt/sources.list /etc/apt/sources_bak.list \
&& sed -i 's/archive.ubuntu.com/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list \
&& sed -i 's/security.ubuntu.com/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list
  1. Step 5: 进入docker环境,
docker run -u root -it -v $(pwd):$(pwd) -v
$(pwd)/toolchain:/opt/toolchain -w $(pwd) k230_docker /bin/bash
  1. Step 6: Docker环境下执行下面命令编译SDK

make CONF=k230_canmv_defconfig #编译CanMV-K230 1.0/1.1 板子Linux+RTT双系统镜像

或者

make CONF=k230_canmv_only_rtt_defconfig #编译CanMV-K230 1.0/1.1 板子RTT-only系统镜像

sdk不支持多进程编译,不要增加类似-j32多进程编译参数。
编译输出产物

编译完成后,在output/xx_defconfig/images目录下可以看到编译输出产物

images目录下镜像文件说明如下:

sysimage-sdcard.img ————-是TF卡的启动镜像;

sysimage-sdcard.img.gz ———是TF卡的启动镜像压缩包(sysimage-sdcard.img文件的gzip压缩包),烧录时需要先解压缩。

至此整个SDK编译完成,成生镜像sysimage-sdcard.img,可烧录到TF卡启动系统。

### K230 on Linux System Specifications and Usage #### Overview of K230 Processor The K230 processor is designed specifically for embedded systems and low-power computing environments. This processor supports various operating systems including Linux, making it versatile for different application scenarios. #### Key Features of K230 on Linux Systems - **Low Power Consumption**: Optimized power management features allow efficient operation under Linux. - **Peripheral Support**: Comprehensive support for peripherals such as USB, UART, SPI, I2C, etc., ensuring compatibility with external devices[^1]. #### Running Linux on K230 To run Linux on the K230 platform, several steps are involved: ```bash # Install necessary packages sudo apt-get update && sudo apt-get install build-essential u-boot-tools device-tree-compiler # Download appropriate kernel sources or pre-built images compatible with K230 wget https://example.com/path/to/kernel-image-for-k230.tar.gz tar -xzvf kernel-image-for-k230.tar.gz # Configure U-Boot environment variables to boot from SD card/flash memory env default -a saveenv ``` For specific configurations like modifying Device Tree Blob (DTB), one can refer to similar processes used in QEMU setups where DTBs are manipulated using `dtc` tools[^3]: ```bash # Convert existing .dtb file into editable .dts format dtc -I dtb -O dts -o k230-custom.dts k230-original.dtb # Edit the generated .dts file according to requirements nano k230-custom.dts # Recompile modified .dts back into binary form (.dtb) dtc -I dts -O dtb -o k230-modified.dtb k230-custom.dts ``` This approach allows customization of hardware interfaces through software configuration without altering physical connections directly. #### Development Tools Integration When developing applications targeting both PowerVR GPUs alongside K230 processors running Linux, leveraging frameworks provided by SDKs becomes crucial. For instance, integrating the PowerVR Graphics SDK facilitates accelerated graphics processing tasks within these platforms[^2]. --related questions-- 1. What are some common challenges faced when porting Linux onto custom ARM-based SoCs? 2. How does the choice between monolithic vs microkernel architectures impact performance on small footprint CPUs like K230? 3. Can you provide guidance on setting up a cross-compilation toolchain tailored for building Linux kernels intended for K230 boards?
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