This paper focus on the intelligent development of China Railway High-Speed (CRH), and the "intelligent brain" of the passenger station is introduced academically for the first time. The "intelligent brain" is generated and proposed due to the greatly improved abilities of perception, transmission. analysis, evaluation, decision-making and execution of the passenger railway station. As a long-term plan, the "intelligent brain" will be contributed continually, and a new service and operation mode will be achieved to provide more suitable and lower time cost service for the passenger. To describe the station brain intuitively, the brain-like intelligence architecture, the concept of the brain, the reflex arcs are presented and discussed firstly. And then the closed-loop control model based on the intelligent brain is designed, and the main modules are analyzed. The rationality and usability of the intelligent station brain is tested in the Taiyuan railway station, and the experiment result is presented thirdly. At last a conclusion is given.

在卫星定位技术以及无线传感器网络技术的基础上设计了一种位移监测系统.当节点所在位置发生移动时,系统能够及时发现并向用户发出警报.系统包括硬件和软件两个方面.其中,硬件方面负责采集卫星定位数据并通过无线方式将其发送至上位机.软件方面则用来对数据进行分析和处理.为了提高系统精度,设计了一种基于滑动均值滤波和一阶前向差分的位移报警算法,并通过大量现场实验数据得出了合理的阈值,使该算法的精度达到了期望要求.

针对铁路智能客运车站系统的构建开展研究,结合业务发展趋势提出智能客运车站的定义、目标和显著标志,从客运业务与新技术相结合的角度对智能客运车站总体蓝图、总体架构、技术架构、平台及业务应用架构进行了总体设计,并围绕"以评促建"的目标,从智能化应用覆盖度、智能应用效果、持续改进性3个方面构建了智能客运车站的评价指标.通过在太原站搭建智能客运车站试验环境对总体设计进行验证,证明了智能客运车站的可行性和先进性.

In order to solve the localization problem at the complex interior environment,indoor localization algorithm based on BP-UKF algorithm is proposed.This algorithm uses the BP neural network algorithm to obtain the relationship between the distance and Received Signal Strength Indication(RSSI) accurately by use of the characteristic in fitting any no-linear function.Then the distances between the unknown nodes and anchor nodes can be calculated.The coordinates of the nodes are initialized by using the trilateration with those distances.It uses the unscented kalman filter algorithm to deal non-linear system equation.The initial value of the coordinates of the positioning node is treated accurately by the estimated value of the distance as the observation variable.The result of simulation shows that BP-UKF algorithm can achieves reliable and accurate solution in interior environment than the traditional positioning algorithm.

This paper focuses on the development of the Intelligent Railway Passenger Station (IRPS),and designes a general framework for IRPS.Firstly,the basic ideas of IRPS,which are based on the current situation and requirements analysis of the railway passenger station,is introduced from two different point of views,and the definition and features of IRPS are proposed.Secondly,a general framework for IRPS is designed to deal with the actual problems.Thirdly,the primary service and smarter functions are proposed from the perceptive of the technology combining with the service.At last,the test prototype is build in Taiyuan Station,the authenticity and feasibility of the proposed framework and the intelligence function are verified.

With the maturity of Wi-Fi technology, Wi-Fi positioning is the best choice for indoor spatial positioning. The positioning in two-dimensional space has gradually failed to meet the needs of society. On the basis of previous studies, this experiment explores the three-dimensional spatial location in Wi-Fi environment. Collecting RSS via the Wi-Fi transmission module, this paper presents an algorithm to improve RSS observations by using the average of a number of selected maximum RSS observations. Three-dimensional spatial positioning of the target is realized by using the trilateral measurement method.