基于Arduino控制板的数据采集智能小车的控制系统设计与实现

为实现具有环境数据采集功能的智能小车控制,设计并实现了基于Ardu-no控制板的控制系统。选用Arduino Mega 2560控制板为控制核心,搭配DS1-B20温度传感器、DHT11湿度传感器、MQ-2烟雾传感器、超声波测距传感器、E-P8266Wifi通讯模块组成硬件系统;采用PWM脉宽调制技术调节小车行进速度,PID算法调节小车的行进方向。调试结果表明,小车具有基于Wifi的无线遥控操作功能,能够对起所处环境中的温度、湿度、烟雾数据进行实时测量、采集和传输,并能自动检测前方障碍物。证明了基于Arduino控制板的控制系统在环境数据采集智能小车中应用的可行性。     

ESP8266的无线光色电测试系统设计

ESP8266是一款高性能无线芯片,在家居自动化 、可穿戴设备 、工业无线控制等领域都有广泛的应用.本系统以TFT触摸屏作为用户显示界面,检测命令和检测数据在TFT触摸屏进行显示,以Arduino Leonardo平台作为主控模块,ESP8266作为与功率计和光谱仪的无线通信接口,通过ESP8266进行命令和数据的透传,解决了检测设备的无线通信问题.     

Construction and programming of an autonomous focus stacker

Focus stacking is a technique of photomacrography and photomicrography that produces images of small three-dimensional subjects with an arbitrarily high depth of field, unencumbered by diffraction, by combining the in-focus portions of a stack of images of the subject recorded at different focal planes. Software packages are available for postprocessing an image stack into the final image, but the stack images are normally shot either with (typically expensive) automated equipment or by a manual, time-consuming, and error-prone procedures. This paper discusses the construction of an autonomous stacker with inexpensive preassembled electronics and a moderate amount of mechanical construction, and its C++ software.     

Multi‐agent system for knowledge‐based event recognition and composition

This work presents a multi‐agent system for knowledge‐based high‐level event composition, which interprets activities, behaviour and situations semantically in a scenario with multi‐sensory monitoring. A perception agent (plurisensory agent and visual agent)‐based structure is presented. The agents process the sensor information and identify (agent decision system) significant changes in the monitored signals, which they send as simple events to the composition agent that searches for and identifies pre‐defined patterns as higher‐level semantic composed events. The structure has a methodology and a set of tools that facilitate its development and application to different fields without having to start from scratch. This creates an environment to develop knowledge‐based systems generally for event composition. The application task of our work is surveillance, and event composition/inference examples are shown which characterize an alarming situation in the scene and resolve identification and tracking problems of people in the scenario being monitored.     

Arduino-based slider setup for gas–liquid mass transfer investigations: Experiments and CFD simulations

The implementation of traditional sensors is a drawback when investigating mass transfer phenomena within microstructured devices, since they disturb the flow and reactor characteristics. An Arduino based slider setup is developed, which is equipped with a computer-vision system to track gas–liquid slug flow. This setup is combined with an optical analytical method allowing to compare experimental results against CFD simulations and investigate the entire lifetime of a single liquid slug with high spatial and temporal resolution. Volumetric mass transfer coefficients are measured and compared with data from literature and the mass transfer contribution of the liquid film is discussed.     

Non-Intrusive Monitoring of Everyday Behavioral Activities in an Indoor Environment

A non-intrusive design for monitoring everyday activities of an elderly person is presented. The proposed system is intended to be used in the bedroom, allowing the elders to stay at home in a safe environment. The required hardware design is simple in structure and cost effective. The sensor design is implemented by using capacitive sensors and an Arduino microcontroller unit. And a real time graphical user interface is implemented to monitor the elderly person. The performance analysis shows that the sensor design is able to differentiate between a human body and a house pet.     

基于语音控制的智能假手系统

为了实现对假手的智能控制,文中提出一种基于语音控制的设计方案。语音识别系统接收发音人的语音命令,并将语音命令转换成主控系统能识别的数字信号。主控系统接收数字信号,同时根据命令向指关节发送数据驱动指关节伺服电机正向或反向转动。指关节转动的角度被指关节电位器转换成相应的电信号。主控系统将角度电信号转换成数字信号,并将此数字信号和命令初始数据比较,从而发出修正命令数据,驱动指关节伺服电机走到指定的位置。在抓握不同物品时,本系统中在每个指尖安装有高灵敏度的压力传感器以检测指尖的受力,确保物品既被抓牢又不被压坏,从而实现对假手的智能控制。     

Arduino控制器和手机蓝牙交互通信的方法和实现

本文介绍Arduino控制器外接蓝牙与手机手机相互通信,可以实现手机软件通过app软件经过蓝牙来控制和显示控制器的内容。该技术可以应用于各种控制装置和设备,比如智能家居等。     

多方向红外测距新型智能导盲杖

基于红外探测器的三角测距原理和光电传感技术,设计了一种新型的智能导盲系统。该导盲系统以Arduino单片机为控制核心,三个方向的红外探测器采集周围障碍物信息,通过一定的优化算法编写程序,读取周围障碍物信息,判断需要报警的方向,控制蜂鸣器和MP3模块的双语音报警系统,确定行走方向。该系统提高了报警的及时性和精确度,能够很好地引导盲人避开障碍物,安全快速地行走。     

基于压电效应的智能控制广场自发电系统

本文介绍了一种基于压电效应的智能控制广场自发电系统,核心技术是通过压电材料的压电效应将机械能转化为电能,并通过能量转换模块和能量储存模块将电能储存于锂电池中,给主控制器模块即Arduino供电,主控制器模块驱动灯光和音频输出模块.整个装置所需的电能都通过压电效应产生,起到节能环保的作用.