The development of data acquisition and processing application system for RF ion source

As the key ion source component of nuclear fusion auxiliary heating devices, the radio frequency （RF） ion source is developed and applied gradually to offer a source plasma with the advantages of ease of control and high reliability. In addition, it easily achieves long-pulse steady-state operation. During the process of the development and testing of the RF ion source, a lot of original experimental data will be generated. Therefore, it is necessary to develop a stable and reliable computer data acquisition and processing application system for realizing the functions of data acquisition, storage, access, and real-time monitoring. In this paper, the development of a data acquisition and processing application system for the RF ion source is presented. The hardware platform is based on the PXI system and the software is programmed on the LabVIEW development environment. The key technologies that are used for the implementation of this software programming mainly include the long-pulse data acquisition technology, multi- threading processing technology, transmission control communication protocol, and the Lempel-Ziv-Oberhumer data compression algorithm. Now, this design has been tested and applied on the RF ion source. The test results show that it can work reliably and steadily. With the help of this design, the stable plasma discharge data of the RF ion source are collected, stored, accessed, and monitored in real-time. It is shown that it has a very practical application significance for the RF experiments.

Design of Gamma Spectrum Data Acquisition and Processing System Based on ARM / DSP

Research for detecting or obtaining radionuclide by gamma energy spectrum data acquisition and process system is one of the key issues about intelligent measurement of gamma-ray spectrum. For this reason, a software and hardware implementation schematic design based on ARM ( Advanced RISC Machines) + DSP ( Digital Signal Processor) architecture for gamma energy spectrum data acquisition and processing system is proposed. The paper discusses in detail some key technologies such as communication interface design between microcontroller ARM and digital signal processor DSP,distribution scheduling under multi-task in the ARM-Linux,DSP handling procedures for multi-channel A / D high-speed sample. At the same time,because the traditional Gaussian fitting to determine the boundary of peak is not ideal,it puts forward a weighting factor of Gaussian function least squares fitting realize boundary determined. Finally gamma-spectrum data from sodium iodide NaI( TI) scintillation detector is tested and processed in the new system. The results show that gamma energy spectrum data acquisition and process system is perfect functionality, stable and convergence in unimodal. Compared with data from conventional energy spectrometers,the system can keep better energy resolution in a wide range of pulse pass rate.

A Review of Data Acquisition System based on LabVIEW

With the continuous development and expansion of automotive industry, car safety problems are widely concerned by most of us. In order to make it easier to adjust car′s real-time body posture, it is necessary to design a real-time data acquisition system, thus reducing the number of casualties in normal driving. A brief account of the development status of data acquisition system at home and abroad, and the concept, principle,function of virtual instrument platform are given. The advantages and disadvantages of the data acquisitionsystem, based on LabVIEW in different methods of data acquisition, are analyzed and compared, and put forward some improvements and optimization, so the real-time data acquisition system can meet the requirement of adjusting the state of the vehicle, improving real-time of data acquisition and processing. Finally, it indicates the development direction and prospect of data acquisition system based on LabVIEW.

A new data acquisition and processing system for profiling sonar

A multi-beam chirp sonar based on IP connections and DSP processing nodes was proposed and designed to provide an expandable system with high-speed processing and mass-storage of real-time signals for multi-beam profiling sonar.The system was designed for seabed petroleum pipeline detection and orientation,and can receive echo signals and process the data in real time,refreshing the display 10 times per second.Every node of the chirp sonar connects with data processing nodes through TCP/IP. Merely by adding nodes,the system’s processing ability can be increased proportionately without changing the software.System debugging and experimental testing proved the system to be practical and stable.This design provides a new method for high speed active sonar.

Analysis on the Applicability of Meter Data Acquisition Methods Based on the Analytic Hierarchy Process

The choice of meter data acquisition methods has important significance for the electric energy management. Based on the comprehensive analysis of several meter data acquisition methods, this paper assess the performance of each one by analytic hierarchy process. We can draw a conclusion by calculating＂ The local automatic meter reading, the prepaid electric energy metering and the remote automatic meter reading have almost the same performance. They are better than the manual meter reading and the vehicle mounted mobile automatic meter reading. So we can choose any one of the three. Among them, the prepaid electric energy metering performs best. This can be a reference for grid company＇ s decision.

Principle and realization method of tunnel deformation detection based on image recognition and data transmission technology

To detect the deformation of the tunnel structure based on image sensor networks is the advanced study and application of spatial sensor technology. For the vertical settlement of metro tunnel caused by internal and external stress after its long period operation, the overall scheme and measuring principle of tunnel deformation detection system is in- troduced. The image data acquisition and processing of detection target are achieved by the cooperative work of image sensor, ARM embedded system. RS485 communication achieves the data transmission between ARM memory and host computer. The database system in station platform analyses the detection data and obtains the deformation state of tunnel inner wall, which makes it possible to early-warn the tunnel deformation and take preventive measures in time.

PI DataLink在离子膜工艺生产中的应用

介绍PI DataLink的开发背景。在氯碱企业电解离子膜生产管理过程中,利用PI DataLink软件的强大功能,自主开发离子膜生产监控与异常查询、数据处理的综合管理软件,实现了关键设备数一键监控、消耗一键统计、指标一键管理、报表一键生成。通过该系统,加大了对生产过程和关键设备参数的监控力度,圆满完成了对工艺ABC类指标、经济消耗指标的控制,减少了原料及公用工程的消耗,实现了对工艺过程的在线分析,避免了危险事故的再次发生。后期还要完成全部系统的数据监控以及精确的数据变化趋势。

The Organizing of Database from Surlari National Geomagnetic Observatory

Our paper describes the organizing of database,remarks about SNGO(Surlari National Geomagnetic Observatory)and network infrastructure.Based on the geomagnetic data acquired and stored on the database server,we perform the processing and analysis of geomagnetic parameters through different spectral,statistical and correlation methods.All these parameters are included in the geomagnetic database on server.The web interface for the database meets the different needs of handling the data collected,raw or processed.The server-side programming language used for design is php.This allow us to select different periods for which access to stored data,required for different search filters and different parameters or data from different time periods can be compared.For a more in-depth analysis of the stored data,through JavaScript programming language graphs for different parameters can be drawn.Access to the web interface can be done with or without authentication,depending on the need to ensure the security of certain data collected,stored and processed.The applications are scalable for different devices that will access it:mobile,tablets,laptops or desktops.

基于特征匹配的逆向工程模型重建方法

逆向工程(RE)也称反求工程,以实物、样件、软件(包括图样、程序、技术文件等)或影像(图片、照片等)为对象,应用产品设计方法学、系统工程学、计算机辅助技术方法进行系统分析和研究,探索掌握其关键技术,进而开发出同类或更先进产品。从数据采集、数据处理和模型构建3个阶段给出了RE中的模型重建过程。首先基于特征的点云匹配方法进行数据采集,获取物体表面的点云数据,然后采取降噪、平滑等方式进行预处理,最后通过曲面拟合、曲面特征提取和数据拼接完成实物到模型的建模。同时给出了各阶段的通用方法和实际应用的注意事项。RE可快速准确地确定实物的结构特点、内部构造等信息,并为后续设计提供参考。

基于STM32单片机的二维码门禁控制系统

该文介绍一种基于STM32单片机的二维码门禁控制系统。该系统通过集成图像采集、二维码识别、数据通信和控制逻辑等关键模块,实现高效、安全的门禁管理。首先,系统利用GM65图像传感器捕捉进出人员的二维码图像,然后通过STM32单片机的强大处理能力进行二维码解码,从而获取其中的身份信息。接着,系统将解码得到的数据与One-Net云端信息进行比对,以判断进出人员是否具有合法通行权限。若权限验证通过,则门禁设备执行开锁操作,允许人员通行;若验证不通过,则系统拒绝开锁,并记录相关事件。该系统的引入,不仅提升门禁管理的效率和安全性,还降低了人为操作的错误率,为智能化、自动化的门禁管理提供新的解决方案。

苏北盆地溱潼凹陷高密度三维地震与效果

高精度三维地震已不能满足当前溱潼凹陷复杂、隐蔽化的小尺度油藏勘探开发需求。2022年,在溱潼凹陷帅垛西地区部署实施高密度三维地震,采用小面元、宽方位、高覆盖次数、高道密度、适中炮点密度的观测系统方式,基于精细表层调查与优势岩性激发、单点宽频接收技术,高清航测影像、全节点无缆接收、背景噪声有缆监控等地震采集技术,提高地下反射波场采样充分性,加强低频信息采集,实现复杂地表高密度地震高效、高质量施工;应用高保真面波压制、多域逐级提高分辨率、全方位成像处理技术,成像剖面分辨率、频带宽度、信噪比、深层及层间内幕反射资料品质有较大提高;对中国东部水网城镇地表新生代断陷盆地高质量地震勘探具有积极的借鉴意义。

OBN地震数据成像处理基本逻辑与关键方法技术

海洋油气勘探逐渐进入深水深层勘探领域,地下地质构造复杂(横向变速剧烈)、目标油藏复杂(由以构造油气藏为主转向构造与地层岩性油气藏并重),同时还可能伴随海底地形及附近岩性的复杂变化,所有因素促使海洋油气地震勘探技术不断变革。提高海洋油气勘探效益的首要问题是发展尽可能满足高精度地震波成像需求的地震数据采集技术及对应的高精度地震波成像技术。当前,无论海上和陆上油气地震勘探,“两宽一高”地震数据采集技术和全波形反演(FWI)/最小二乘逆时偏移(LS_RTM)为代表的地震波成像技术是标志性的领先技术。海上油气地震勘探中,海底节点(OBN)地震数据采集是目前业界公认的、最有可能真正实现“两宽一高”地震数据采集的技术。与拖缆数据采集相比,OBN数据采集具有宽方位照明、数据信噪比高、无检端鬼波、存在实测的(至少一阶自由表面相关)下行波场、四分量观测等优点。尤其是宽方位照明和存在至少一阶自由表面下行波场的特点,使得OBN数据具备了对中深层复杂构造和近海底介质进行高精度成像的能力。着重讨论了高精度地震波成像对地震数据采集的要求,指出OBN数据采集在海洋油气勘探中的必要性;分析了OBN数据采集的地震波场的特点,据此提出OBN数据地震波成像处理的基本逻辑及相应的关键技术;认为海洋油气勘探中地震波成像处理的特殊问题主要由特征反射层引起,海水面、海底面和地下介质中若干强反射层构成了这些特征反射层,提出了模型驱动波动理论特征反射层相关多次波预测与压制的技术路线,并对比了几种代表性的多次波预测的基础理论;指出对应当前的线性化偏移成像算子叠前数据域与叠前成像域是等价的,据此以成像道集后处理为中心,给出期望成像道集的定义,将弱旁瓣、定量的反射系数作为保真高分辨地震波成像的目标,在两个域中尽可能完美实现地下同一反(绕/散)射点、不同炮检距反(绕/散)射子波的同相位叠加,尽可能好地实现保真高分辨带限反射系数的成像;提出最好把带限反射系数成像推进到宽带波阻抗成像的技术路线;结合OBN数据的特点,给出了OBN数据地震波成像处理的基本技术流程,指出各环节的关键方法技术。最后,针对OBN数据四分量观测的特点,指出是实际观测的多波地震波场中的波现象(主要是P_SV波)与地震波传播及模拟理论不匹配导致了当前多波成像结果达不到预期,建议重点研究实际观测的多波地震波场中的波现象与地震波传播及模拟理论不匹配的物理根源,而不是发展更高端的矢量波成像算法。期望本文的思想观点对OBN地震勘探在海洋油气勘探中的进一步应用产生积极的促进作用。

大数据背景下的冰雪运动产品服务平台App设计研究

随着大数据技术的蓬勃发展,冰雪运动行业也面临着新的机遇和挑战。大数据可以帮助冰雪运动企业更好地了解客户需求,优化产品和服务,提高运营效率。文章首先对大数据技术进行概述。其次对冰雪运动产品服务平台App进行了设计分析,提出了冰雪运动产品服务平台App设计的策略,最后赋予设计实践。以期为冰雪运动企业提供一个高效、便捷、智能的产品服务平台,帮助企业更好地服务客户,提高竞争力。

机载激光雷达的标准化进展分析

在分析美国激光雷达标准化新进展的基础上,以USGS颁布的《激光雷达基础规范》为例,探讨了机载LiDAR标准化的关键技术内容和关键技术指标,剖析了美国激光雷达新技术的标准化特点和优势。研究发现USGS在LiDAR新技术标准的制定、更新以及应用等方面具有一些好的做法,其标准化的模式和思路对于我国测绘地理信息新技术标准的研发和制定具有一定的借鉴和参考价值。

基于数字孪生的加工生产线虚实交互技术研究

针对传统加工生产线运行过程中设备数据采集困难和可视化程度低的问题,研究了数字孪生(DT)技术在加工生产线虚实交互方面的应用问题。首先,以某电机外壳加工生产线为例,分析了生产线的加工流程,设计了虚实交互技术的总体框架,并提出了具体的方法;然后,对加工生产线进行了数字孪生体建模,对模型中的关键要素,几何、物理、行为属性及通讯接口的构建进行了详细的阐述;最后,采用过程控制的对象链接和嵌入(OPC)技术进行了加工生产线中多源异构数据的采集与处理,完成了实时数据间的映射。研究结果表明:采用虚实交互技术可以完成物理生产线与数字孪生体间的实时映射;电机外壳加工生产线中机械臂虚实交互的可靠性为99.95%,可满足精确性要求;采用服务模块能够更加直观、有效地反映生产线的实际加工状态,可满足加工过程信息动态可视化要求,证明了该方案具有可行性和有效性。

时频电磁法频率域视电阻率求取方法研究

时频电磁法(TFEM)是一种应用于油气勘探领域,可同时实现时间域和频率域电磁一体化勘探的可控源电磁方法。本文引入水平电流场源定义的广义视电阻率,结合TFEM的发射源特征,实现TFEM频率域视电阻率的求取;分析不同偏移距、发设距水平电场振幅和视电阻率特征,验证了方法的可行性。TFEM频率域视电阻率的求取和基于模型的研究,为TFEM勘探采集参数的设计和采集数据的处理提供科学的借鉴和参考。

矿井智能通风与关键技术研究

为使智能通风系统建设更加有序、可控,提出了矿井智能通风流程环节,将矿井智能通风流程按照生产环节划分为6个板块,即感知监测、分析诊断、智能决策、方案审批、远程集控联控、执行反馈,共包含24个具体环节,建立了各个环节输入输出要素和环节之间的功能逻辑关系。按照“矿井通风系统整体规划+采掘用风区域重点细化”思路,提出了矿井全系统智能通风应用场景实现方案和采煤工作面与掘进工作面2个细化的智能通风应用场景实现方案,将矿井智能通风各个具体环节融入具体的应用场景中。为实现智能通风应用场景,基于逻辑分层思想优化了矿井智能通风系统整体架构,规划了由硬件驱动层、功能模块层、计算处理层、数据存储层、数据采集层构成的矿井智能通风管控平台。针对通风感知监测、分析诊断、智能决策、远程集控联控4个矿井智能通风关键板块中涉及的风量风速监测感知、通风阻力在线监测、全风网风量风压解算、灾源判识和灾变定位、矿井动态需风量计算、通风系统故障诊断、风量按需调控方案决策、应急控风方案决策、无人化远程控风、无人化应急控风10个关键环节,总结分析了目前各个关键环节关键技术现状,提出了各个关键环节关键技术实现路径,通过关键技术迭代升级,最终实现矿井通风系统全生命周期内时刻处于稳定可靠、安全可控、高效节能、应急降灾的运行状态。

面向直升机装配生产线虚拟运行的多源数据感知与融合应用技术

针对直升机装配生产线中存在的数据来源繁多、描述形式不统一、利用率低等问题,对直升机装配生产线运行过程中的多源数据感知与融合应用技术进行研究。首先,定义生产线运行中的多源数据感知与融合技术内涵及其整体框架,包括生产线多源数据采集系统构建、多源数据融合技术构建、装配过程多源数据分析预测模型构建,以及生产线多源数据分析应用模块;其次,采用标准化的生产物联、基于本体的语义描述与基于多源数据的质量映射等方法,为实际装配生产线多源数据的感知与融合提供可行的解决方案;最后,阐述上述技术在生产线虚拟运行状态分析、设备使用状态监测和装配质量提升等方面的应用措施,为直升机装配生产线的数字孪生构建与虚拟高效运行提供优质数据基础。

基于FPGA的大动态范围数据采集系统设计

针对传统数据采集系统受动态范围限制,进行测量时对大信号易过载、小信号易丢失等问题,设计了一种基于FPGA的大动态范围多通道数据采集系统,讨论了噪声相关性与放大器增益对动态范围的影响。该系统采用一种分立式架构的双ADC同步采集单元,结合FPGA高速并行处理的特点进行数据融合,对前端可变增益放大电路实时控制,实现多通道数据采集系统对微小信号采集时的高分辨率以及对大信号采集时的高容差。对采用动态范围最大为108 dB的AD7768芯片研制的实验样机进行测试,结果表明其在64 kHz的采样频率下可达到160 dB以上的动态范围,系统采样精度达到0.1%,线性度优于0.005%,通道间相位精度达到±0.05°。