Large Scale and Performance tests of the ATLAS Online Software

One of the sub-systems of the Trigger/DAQ system of the future ATLAS experiment is the Online Software system.It encompasses the functionality needed to configure,control and monitor the DAQ.Its architecture is based on a component structure described in the ATLAS Trigger/DAQ technical proposal.Resular integration tests ensure its smooth operation in test beam setups during its evolutionary development towards the final ATLAS online system.Feedback is received and returned into the development process.Studies of the system.behavior have been performed on a set of up to 111 PCs on a configuration which is getting closer to the final size,Large scale and performance tests of the integrated system were performed on this setup with emphasis on investigating the aspects of the inter-dependence of the components and the performance of the communication software.Of particular interest were the run control state transitions in various configurations of the run control hierarchy.For the purpose of the tests,the software from other Trigger/DAQ sub-systems has been emulated.This paper presents a brief overview of the online system structure,its components and the large scale integration tests and their results.     

基于物联网的水质在线监测系统设计与实现

针对以往水质监控系统水质传感器数据采集盲区多,传统处理器、通信模块无法满足大量的数据的处理和传输等问题。设计并实现了一种基于物联网技术的水质在线监测系统。该系统由数据采集节点、数据汇聚节点与监测中心计算机构成。设计了以INA118仪用放大器为核心的微弱信号调理电路,通过STM32微处理器进行实时数据采集和处理,结合ZigBee低速短距离和CDMA2000高速远距离通信等物联网技术将水质数据上传至物联网云平台。监测中心计算机通过下载物联网云平台数据实时显示。通过测量数据的对比性实验,结果表明整个系统的实时性好、测量精度较高,温度,pH值和电导率的平均相对误差分别约为0.64%,1.33%和2.33%,能够较好地满足水质监测的要求。     

ATLAS overview

The European Physical Journal C - ATLAS STATUS REPORT of the construction work, including for the first time a report on the ongoing underground installation work. The status of all major...     

高能物理实验中一个在线监测程序KGeneral

KGeneral是在ROOT程序包下开发的一个高能物理实验在线监测程序.它读取KLOEGlobal程序的文件,显示KLOE实验的探测器、电子学线路、DAQ重建数据的各物理量和加速器运行状态的参数,并定时刷新,以跟踪实验当前状态和数据质量.KGeneral程序设有Custom选项,可以把用户感兴趣的图形在同一画板上显示.KGeneral程序也有纵向和横向的Slider,以便用户放大图形,更好地观察参数图形的细节.     

航空发动机在线振动监测系统的开发

立体仓库堆垛机定位控制中由于测量产生的误差,如编码器存在累积误差的缺陷,激光测距仪因震荡等不确定因素产生误差,严重影响堆垛机的定位精度。针对堆垛机此类定位控制精度问题,采用组合定位的控制方法,即双闭环控制方法。粗定位与精确定位结合使用,在低速段用精定位反馈,提高定位精度。最后对堆垛机的定位误差进行了分析,结果满足控制系统的要求。实验证明,该方法很好的实现了立库堆垛机运行的精确定位问题,定位精度在3㎜范围内,符合定位要求。     

The ATLAS muon spectrometer

The European Physical Journal C - This paper presents the Muon Spectrometer of the ATLAS detector. The general characteristics of this system as acceptance, resolution and trigger capabilities are...     

The ATLAS trigger system

The European Physical Journal C - ATLAS is one of two general-purpose detectors at the next-generation proton–proton collider, the LHC. The high rate of interactions and the large number of...     

SUSY searches at ATLAS

Despite the absence of experimental evidence, weak scale supersymmetry remains one of the best motivated and studied Standard Model extensions. The ATLAS experiment at the LHC searches for signs of supersymmetry in a large variety of signatures involving events with abnormal production of missing transverse momentum, jets, leptons, third generation fermions, gauge bosons or massive long-lived particles. A summary of the most recent results obtained in these searches is presented.     

ATLAS fast physics monitoring

The ATLAS experiment at the Large Hadron Collider is recording data from proton?Cproton collisions at a centre-of-mass energy of 7?TeV since the spring of 2010. The integrated luminosity has grown nearly exponentially since then and continues to rise fast. The ATLAS Collaboration has set up a framework to automatically process the rapidly growing dataset and produce performance and physics plots for the most interesting analyses. The system is designed to give fast feedback. The histograms are produced within hours of data reconstruction (2?C3 days after data taking). Hints of potentially interesting physics signals obtained this way are followed up by physics groups.     

ATLAS DAQ Configuration Databases

The configuration databases are an important part of the Trigger/DAQ system of the future ATLAS experiment .This paper describes their current status giving details of architecture,implementation,test results and plans for future work.     

一种简单的在线拉曼光谱spike剔除方法

拉曼光谱体现了物质中不同分子基团的振动情况,可以精确地进行物质的定性和定量分析.凭借着这样的优势,拉曼光谱技术已经成功应用在化工生产、管道传输、生化反应监测等工业在线分析领域.然而,在线拉曼分析很容易受到宇宙射线的干扰.宇宙射线在拉曼谱图上体现为一系列峰宽较窄的尖锐的峰,也被称为spike.这些spike使待测物质的拉...     

ATLAS: B physics reach

The European Physical Journal C - The current scope and status of the ATLAS B-physics trigger and of off-line performance studies are presented. From the initial running at low-luminosity at LHC,...     

激光诱导击穿光谱对农药气溶胶的在线监测

作为现代农业的重要工具,农药凭借其高效的灭病虫害能力在农业生产中应用广泛,然而其灭杀虫害的同时对大气环境和人体健康等方面也会造成危害。使用激光诱导击穿光谱（LIBS）技术对农药的气溶胶喷雾进行了在线探测,研究了使用LIBS技术对农药使用过程的实时监测。首先检测了清洁环境下的空气LIBS光谱,在空气的光谱中探测到大量的氮（N）、氧（O）原子发射谱,这个结果与空气成分是相吻合的;同时还观察到了氢（H）的两条巴尔默系原子谱线,这主要是来源于空气中的水蒸气。值得注意的是,在空气谱中还发现了两条氩（Ar）的原子谱线,这也表明LIBS技术在微量元素检测方面有着重大潜力。选用农药敌杀死作为研究对象,对其有效成分溴氰菊酯（C₂₂H₁₉Br₂NO₃,CAS: 52918-63-5）进行了LIBS检测。在溴氰菊酯的LIBS光谱中观察到了卤素元素溴（Br）的存在,标记出了两条Br的原子发射谱线（827.294和833.470 nm）。对农药样品进行探测时也发现了包括CN分子发射谱与C₂分子发射谱等大量空气光谱中没有检测到的特征谱线;同时还检测到了空气谱中没有观测到的元素纳（Na）以及钙（Ca）;尤其是Ca,农药中不仅仅检测出了Ca的存在,而且相比于溴氰菊酯光谱中Ca谱线的能量以及数量都有着非常明显的上升。最后,实验中对CN分子的温度进行了研究;拟合得到溴氰菊酯与农药的CN分子的振动温度分别为8 800和6 200 K,转动温度分别为8 600和5 500 K。以上结果表明了使用LIBS技术对农药的在线监测是可行的,是有发展前景的。     

Intelligent Online Monitoring of Rolling Bearing: Diagnosis and Prognosis

This paper suggests a new method to predict the Remaining Useful Life (RUL) of rolling bearings based on Long Short Term Memory (LSTM), in order to obtain the degradation condition of the rolling bearings and realize the predictive maintenance. The approach is divided into three parts: the first part is the clustering to detect the damage state by the density-based spatial clustering of applications with noise. The second one is the health indicator construction which could give a better reflection of the bearing degradation tendency and is selected as the input for the prediction model. In the third part of the RUL prediction, the LSTM approach is employed to improve the accuracy of the prediction. The rationale of this work is to combine the two methods—the density-based spatial clustering of applications with noise and LSTM—to identify the abnormal state in rolling bearings, then estimate the RUL. The suggested method is confirmed by experimental data of bearing life cycle, and the RUL prediction results of the model LSTM are compared with the nonlinear au-regressive model with exogenous input model. In addition, the constructed health indicator is compared with the spectral kurtosis feature. The results demonstrated that the suggested method is more appropriate than the nonlinear au-regressive model with exogenous input model for the prediction of bearing RUL.     

Online Monitoring of Aluminium in Drinking Water with Fluorimetric Detection

We report a procedure for the online monitoring of aluminium in drinking water by flow injection analysis. The reaction used is the formation of a complex with morin. Under the working conditions, this can be accomplished in an ethanol-rich hydroalcoholic medium, which modifies the fluorescent characteristics of the complex, allowing the determination of aluminium concentrations higher than 3.1 μgl⁻¹, with a linear application range between 2 and 250 μgl⁻¹, an R.S.D. of 2.3% (n = 10, 120 μgl⁻¹) and a sampling frequency of 90 h⁻¹. The method can thus be considered one of the most sensitive and fastest for the continuous determination of aluminium. In the presence of anionic surfactants, the sensitivity of the determination is increased. In this form, aluminium is detected at concentrations higher than 2.8 μgl⁻¹, with a linear application range of 2–50 μgl⁻¹. The procedure was applied to the analysis of aluminium in drinking, river, and underground water. Under the proposed working conditions, only Fe(III), fluoride and phosphates interfere. The interference of Fe(III) can be avoided with hydroxylamine and that of phosphates and polyphosphates by acid digestion of the samples.