水质快速检测设备的硬软件设计及实现

[目的]研制本质快速检测设备,实现水质的现场多指标快速检测.[方法]对设备的硬件及软件进行了设计.硬件设计包含了1P2303芯片、锂电,Cortex-M3型ARM微控制器、树莓派显示系统、光频转换器等的设计;软件设计则包含了软件设置、项目选项、项目测量结果以及测量数据表格输出等模块的设计;并对水质快速检测设备的可靠性进行了试验检验.[结果]通过对该设计的设备硬件和软件合理搭配连接,从而研发出了水质快速检测设备.用该设备与国家标准要求的设备同时测定某一河道水样的5项指标结果发现,3个样点水样中铁、氨态氮、氟化物、硝酸盐和6价铬含量的两组数据值接近,无明显差异.虽然国家标准法检测下限比快测法高一个数量级,但快速设备的测定结果不影响操作员对水质的判断,说明该水质快速检测设备精密度高;两种测定方法的稳定性比较,结果快速测定法的5个指标数据的相对偏差略高于国家标准法(3.92％),但其测定结果能够较好地满足现场测定要求,说明该水质快速检测设备稳定性良好.[结论]该水质快速检测设备的检测精度和稳定性较高,可满足水质的现场快速检测要求.     

泵用异步电动机直接转矩控制系统的设计

直接转矩控制（DTC）是一种高性能的控制方法，提出了一种基于TMS320C32的直接转矩控制系统实现方案。通过硬和软件设计，实现对异步电动机的直接转矩控制，实验结果表明了该方案的可行性，将其应用于水泵的调速系统中，能进一步提高水泵的运行效率。     

浅谈网络环境下企业MIS开发中的软件工程思想

论述了软件工程思想在开发网络环境下企业MIS的几个主要阶段中的应用与改进。     

木材标本微机管理系统的研究

根据集合数学理论和数据库结构原理,在APPLE-Ⅱ和IBM/PC/XT两类微机上研制了“木材标本管理系统”软件。它具有快速、准确、功能齐全、汉字提示充分、自行矫错、灵活方便等特点,并能辅助标本室原有卡片管理系统与其同步并存。用它可便利地进行标本库文件和索引文件的建立和删改,以几十种方式对库内标本进行检索、分类、清理,以及标本的清单、卡片、标签的打印等操作。本研究对木材标本室工作效率和管理水平的提高以及微机在标本管理领域的推广应用都具有积极意义和实用价值。本系统软件以东北林业大学木材标本室为对象调试已获成功,稍加修改,还可适用于树木学、植物、动物、昆虫等方面的标本管理。     

基于工作流的过程支持在软件配置管理中的设计

当今计算机信息技术产业的迅速发展,促进了国内软件开发在先进技术和产品方面的广泛应用.但是在先进操作系统、开发工具为企业带来巨大经济效益的同时,另外一方面也使得我们的开发环境日益复杂化而难以管理.事实已表明,随着整个软件业的迅速发展,没有得到有效管理的软件开发过程中出现的风险和挑战将越来越突出,加强软件开发中的过程支持,已经是软件产业化的必要条件.本文主要是针对目前我国软件开发方面存在的一些问题,通过将工作流技术应用到软件配置管理中,从而实现对软件过程的管理.     

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.     

基于模型驱动的省级林业有害生物灾害监测与预警平台1）

针对省级林业有害生物灾害监测与预警系统建设中,各省需求不一致,单省需求变化快的问题,借鉴OMG的MDA软件开发方法,提出了软件运行期元数据模型驱动的系统架构。针对流程管理、WebGIS、动态表单需求,给出了FPM-BPM元模型、FPM-GIS元模型、FPM-Form元模型,开发了基于元模型的建模工具、执行引擎,最后采用模型组装的方式实现业务系统构造。原型验证及工程实践证明：平台具有良好的适应性,可快速定制随需演化,有效支撑省级林业部门的有害生物灾害监测与预警业务。     

应用Visual Basic 6.0开发木材标本管理系统

应用Visual basic 6.0语言开发了安徽农业大学木材标本馆标本管理系统,系统设有检索、输入、统计、打印、维护等功能模块.本系统适当调整后也适用于林业系统的树木学、植物、动物、昆虫等标本的管理.     

科技成果转化过程分析

选取2002~2013年我国石油进出口贸易量的数据进行建模分析。首先运用小波分析理论将贸易量数据进行分解,识别出数据的主要特征和细节特征,针对不同特征进行识别和平稳性检测和参数估计,建立相应的ARIMA模型,并进行预测加权合成。仿真结果表明,小波分析结合ARIMA组合模型的预测精度远远大于为改进的ARIMA预测模型,从而为科学合理的决策提供更为精确的预测模型。