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basic AiThinker Ra-08 ASR6601 SoC LoRaWAN Module 基于 ASR6601 安信可 Ra-08 LoRaWAN模组二次开发

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Ai-Thinker LoRaWAN Module Ra-08(H) Secondary Development Getting Started Guide

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0.Introduction

Ai-Thinker is an expert in IoT wireless design, focusing on solutions that are simple, flexible, easy to manufacture and deploy. Ai-Thinker develops and designs wireless system-level module products with integrated SoC, stable performance, and low power consumption in the IoT industry, and various modules with Wi-Fi, LoRaWAN, Bluetooth, and UWB functions. The modules have excellent RF performance.

Ra-08(H) module is a LoRaWAN module jointly developed by Ai-Thinker Technology and Shanghai ASR Microelectronics Co., Ltd.(ASR) in depth. This repository is a guide for getting started with the secondary development of the LoRaWAN module SoC. The corresponding chip model is ASR6601CB, Flash 128 KB, SRAM 16 KB, 32-bit 48 MHz ARM Cortex-M4 kernel.

The Ra-08(H) module has a built-in AT firmware program default, and it can be used directly to connect to the LoRaWAN gateway. If you need to connect to Ali LinkWAN, you need to program this repository code.

1.Purpose

Based on the linux environment, this article introduces the specific process of secondary development of point-to-point communication of An-Thinker’s Ra-08(H) module for your reference.

2.Hardware preparation

  • • Linux environment
    The necessary environment for compiling & programming & running operations, this article takes (Ubuntu18.04) as an example.

(Windows users can install a virtual machine and then install linux in the virtual machine.)

  • Equipment
    Get samples from Ai-Thinker’s Alibaba store to get 2 pcs module and the antenna as well.

  • USB cable
    Connect PC and Ra-08 development board to burn/download programs, view logs, etc.

3.Ra-08 development board preparation

On sale module Whether to support
Ra-08 support
Ra-08H support

4.Build the compiler environment

sudo apt-get install gcc-arm-none-eabi git vim python python-pip
pip install pyserial configparser 

5.SDK preparation

git clone --recursive https://github.com/Ai-Thinker-Open/Ai-Thinker-LoRaWAN-Ra-08.git

6.Compiling & Programming & Running

6.1 Compiling

6.1.1 Configure environment variables

source build/envsetup.sh

6.1.2 Example of compiling peer-to-peer communication

cd projects/ASR6601CB-EVAL/examples/lora/pingpong/
make

Example of compiling peer-to-peer communication

"arm-none-eabi-size" out/pingpong.elf
   text    data     bss     dec     hex filename
  21312    1092    4656   27060    69b4 out/pingpong.elf
Please run 'make flash' or the following command to download the app
python /mnt/d/GitHub/ASR6601_AT_LoRaWAN/build/scripts/tremo_loader.py -p /dev/ttyUSB0 -b 921600 flash 0x08000000 out/pingpong.bin

Find the burning serial port, and then start burning, for example, my access serial port here is /dev/ttyUSB2 :

python /mnt/d/GitHub/ASR6601_AT_LoRaWAN/build/scripts/tremo_loader.py -p /dev/ttyUSB2 -b 921600 flash 0x08000000 out/pingpong.bin

6.2 Clear project compilation files & compile & flash & download firmware & view log

Connect the USB cable to the device and PC, make sure the programming port is correct, and follow the steps below to put the module into the download mode

Banner

First modify the default port number and baud rate to connect to the hardware, and modify it in the file \build\make\common.mk

# flash settings
TREMO_LOADER := $(SCRIPTS_PATH)/tremo_loader.py
SERIAL_PORT        ?= /dev/ttyUSB0
SERIAL_BAUDRATE    ?= 921600

6.2.1 Clear the project compilation file

make clean

Note: It is not necessary to erase every time, if you modify the configuration file and recompile, you need to perform this operation.

6.2.2 Burning program

make flash

6.2.3 Running

Press the RST button on two Ra-08-Kit development boards, and you can see the following log:

Received: PING
Sent: PONG
Received: PING
Sent: PONG
Received: PING
Sent: PONG
Received: PING
Sent: PONG
Received: PING
Sent: PONG
Received: PING
Sent: PONG

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basic AiThinker Ra-08 ASR6601 SoC LoRaWAN Module 基于 ASR6601 安信可 Ra-08 LoRaWAN模组二次开发

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