MCP cover image

对数字转换器的模拟

4

Github Watches

7

Github Forks

5

Github Stars

MCP3428

MCP3428

MCP3428 Analog to Digital Converter.

The MCP3428 is a 4-Channel Analog to Digital Converter.

This Device is available from ControlEverything.com [SKU: MCP3428_I2CADC]

https://www.controleverything.com/content/Analog-Digital-Converters?sku=MCP3428_I2CADC

This Sample code can be used with Raspberry Pi, Arduino, Particle Photon, Beaglebone Black and Onion Omega.

Java

Download and install pi4j library on Raspberry pi. Steps to install pi4j are provided at:

http://pi4j.com/install.html

Download (or git pull) the code in pi.

Compile the java program.

$> pi4j MCP3428.java

Run the java program.

$> pi4j MCP3428

Python

Download and install smbus library on Raspberry pi. Steps to install smbus are provided at:

https://pypi.python.org/pypi/smbus-cffi/0.5.1

Download (or git pull) the code in pi. Run the program.

$> python MCP3428.py

Arduino

Download and install Arduino Software (IDE) on your machine. Steps to install Arduino are provided at:

https://www.arduino.cc/en/Main/Software

Download (or git pull) the code and double click the file to run the program.

Compile and upload the code on Arduino IDE and see the output on Serial Monitor.

Particle Photon

Login to your Photon and setup your device according to steps provided at:

https://docs.particle.io/guide/getting-started/connect/photon/

Download (or git pull) the code. Go to online IDE and copy the code.

https://build.particle.io/build/

Verify and flash the code on your Photon. Code output is shown in logs at dashboard:

https://dashboard.particle.io/user/logs

##C

Setup your BeagleBone Black according to steps provided at:

https://beagleboard.org/getting-started

Download (or git pull) the code in Beaglebone Black.

Compile the c program.

$>gcc MCP3428.c -o MCP3428

Run the c program.

$>./MCP3428

Onion Omega

Get Started and setting up the Onion Omega according to steps provided at :

https://wiki.onion.io/Get-Started

To install the Python module, run the following commands:

opkg update
opkg install python-light pyOnionI2C

Download (or git pull) the code in Onion Omega. Run the program.

$> python MCP3428.py

#####The code output is digital value of an analog input.

相关推荐

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Contraband Interactive
  • Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.

  • rustassistant.com
  • Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • Mintplex-Labs
  • 带有内置抹布,AI代理,无代理构建器,MCP兼容性等的多合一桌面和Docker AI应用程序。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • n8n-io
  • 具有本机AI功能的公平代码工作流程自动化平台。将视觉构建与自定义代码,自宿主或云相结合,400+集成。

  • open-webui
  • 用户友好的AI接口(支持Ollama,OpenAi API,...)

  • WangRongsheng
  • 🧑‍🚀 llm 资料总结(数据处理、模型训练、模型部署、 o1 模型、mcp 、小语言模型、视觉语言模型)|摘要世界上最好的LLM资源。

  • metorial
  • 数百个MCP服务器的容器化版本📡📡

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

  • langgenius
  • Reviews

    1 (1)
    Avatar
    user_aSFmeNl8
    2025-04-19

    The MCP3428 is an exceptional product! I've been using it for various precision measurement applications, and it has consistently delivered reliable and accurate results. Its straightforward integration with my projects and the excellent community support from ControlEverythingCommunity enhance its value. The detailed documentation available on the GitHub link is incredibly helpful. Highly recommended for anyone needing a high-resolution ADC!