An on-site computer system for comprehensive agricultural air quality research

Scientific studies using direct agricultural air quality (AAQ) measurement have experienced revolutionary changes since such a study was first reported in the early 1950s. Comprehensive AAQ research with multi-institutional or international collaboration, long-term monitoring, and multi-pollutant measurement has been conducted with greater frequency. On-site computer system (OSCS), consisting of data acquisition hardware, a personal computer, and custom-developed AAQ research software has become an important tool in these studies. The role of the OSCS has been expanded from exclusively data acquisition to a combination of data acquisition, control, regular and advanced data processing, and communication. This paper studied the general and specific requirements of OSCS in AAQ research and introduced a system with new methodology and technology for high level quality assurance and quality control (QAQC).Data acquisition in AAQ studies is needed for five main categories of instruments and sensors: pollutant concentrations, air exchange, weather conditions, building status, and measurement system status. Regular data processing consists of converting electrical signals to engineering units, averaging data over a given period of time, and performing data correction. Advanced data processing includes calculating location-shared analyzers and sensors (LSAS) data and instrument calibration data and generating daily reports in real-time or upon user requests. The primary control needs in AAQ research centers around the LSAS using multi-point air sampling system. Controls for sampling tubing heating and equipment cooling are often required. Computer communications to monitor system status, deliver alarms and data, and provide remote diagnosis and controls help to reduce operation costs and increase research quality and data completeness.An OSCS that offered flexibility, high capacity, user-friendliness, and high level QAQC was developed for field and laboratory AAQ research. A total of 29 OSCSs have been built and used in various AAQ studies in 13 states in USA for handling a total of more than 3.0 billion data points. The system adapted a set of data processing algorithms as well as some novel features, including All-data Display and Dynamic Run-time Configuration (DDRC), Digital Output DDRC, real-time sampling system monitoring and protection, Global Channel, traceable configuration, and post-measurement data processing. The system also integrated two stand-alone instruments, an Innova multi-gas analyzer and a 7-port Environics gas diluter, which are popular in AAQ research. The strengths, weaknesses, and future development of the system are also discussed.     

机械设备故障诊断用便携式数据采集分析系统

设计了一套应用于机械设备故障诊断的便携式数据采集分析系统。系统整体采用主从结构:上位机软件基于Labview,主要实现路径、数据、通讯等的管理以及数据分析;下位机实现采集、分析。下位机的硬件层核心采用片上系统(SoC)芯片;操作系统层移植了自行研发的实时操作系统(RTOS):TDNC-OS,给出了任务划分;应用软件层引入了缓冲区操作机制;通讯层主要由UART模块组成。实例表明系统具有很好的实时性和可靠性。     

基于PIC单片机的轨检车数据采集系统的设计

随着轨道检测手段的不断提高,如何把轨道检测数据高效、快捷地下发到基层施工部门,尽可能快地消除事故隐患、更好地指导线路维修、保障行车安全,以满足日益发展的快速、准高速、高速铁路的要求变得日益重要。论文重点介绍了基于PIC单片机的轨检车数据采集系统的设计,该设计方案提高了轨检车的测量技术,保证了测量的准确性,对快速检查轨道病害,保证铁路运输安全和提高旅客列车的平稳舒适性均能发挥重要作用。     

基于无线传感网络隧道亮度信号采集系统的研究

亮度信号是高速公路隧道节能照明控制系统必须检测的物理量。本文基于zigbee的技术特点，设计了一款基于无线传感网络的隧道亮度信号采集系统。系统的传感器节点负责亮度信号的采集，经CC2530处理发送，通过逐级跳转的方式把数据传输到协调器。协调器通过RS232串口与灯具控制器通信，以此实现对亮度信号的实时采集和可靠性传输。通过实验表明，该系统达到了设计的目的，并适用于高速公路隧道节能照明控制系统。     

基于WSN的油菜生长环境数据采集系统

针对传统作物生长环境数据获取手段实时性差、劳动强度大以及部署微型自动气象站和商用Zigbee产品成本高、开放性较差等问题，设计并实现了一种基于WSN的油菜生长环境数据采集系统。提出了轻量级的能量感知路由协议CLFP，并给出了软硬件的相关设计方法。仿真和大田试验结果表明，系统温度采集精度最高可达0.01 ℃，测湿精度达±5%，光强采集范围为1~65 535 lx，可并发的数据传输达到36路，可满足农业现场环境数据的较高测量要求。在标称电源供电情况下，系统实际有效生存周期超过142 d，由于采用AT89C51和nRF2401作为基础硬件平台，成本低廉，有助于大规模部署和应用。     

Design of Data Acquisition System for Vehicle Based on CAN Bus

To the question that a meter is correspond with a set of lead and a sensor,this paper presents a design of data acquisition system for vehicle based on CAN bus.In this way,the combinatorial instrument is only connected by a bus unit.Author introduces the data acquisition structure chart and the CAN interface,analyzes the software by program flow chart,and shows it's application for vehicle virtual instrument.A method of calculating vehicle speed,engine rotate speed and the course of development mileage are also given.     

Electro-circuit Design About the Data Acquisition and Wireless Transmission System Based on High-speed SCM

Considering the difficult of acquiring and transmission the signal from the moving equipment, a new fault diagnosis monitoring system is presented. The system acquires the state signal from the moving equipment by data acquisition module that based in W77E58 high-speed SCM, and transmits the data fast by wireless mode. The signal data can be use for fault diagnosis and precise analysis. The system has the ability for acquiring abundance of data with a high speed, the ability for high accuracy data conversion, and has a function of programme controlling gain and programme controlling low-pass filtering. The successful application of this system on the vibration monitor about the material-transporting bogie in an iron works of a domestic steel enterprise proves the stability and credibility about the design project, also testifies its practical value and versatility.     

An Expert System Approach to the Computer Aided Design of Intelligent Controllers

The idea for an expert system approach to the computer aided design of intelligent controllers (ESCAD1C) is discussed and the idea of two step modelling of an intelligent controller is presented on the basis of emulating human control behaviours to solve complex problems. The structure, functions and characteristics of ESCADTC system , and the design procedures of intelligent controllers are gived. The knowledge base and simulating functions for designing intelligent controllers are also described.     

Using BP Neural Network to Determine the Membership Function of the Input of Fuzzy Control System

While design the fuzzy controller, it is very important to determine the membership function of fuzzy variables.The data can be broadly classified as fuzzy sets by using the classification property of the BP neural network. The author selects a BP neural network with one hide layer and uses S function to the input and hide layer, and linear function to the output layer.Advanced BP algorithm isused to train the BP neural network in the environment of MATLAB . The nearer to the target values is the better the last output is.With the trained BP network , the membership values of the inputs can be got ten. This method has high rate and low error.     

A Study on the FMS Planning and Scheduling System

After researching the function requirements of the planning and scheduling in manufacturing cells, the paper advanced a control structure with three phases, i. e. planning , scheduling and dispatching. The paper represented in detail the main purposes, requirements and scheduling actions in each phase. It suits to general machining FMSs.