提出了一種基于C8051F320的列車安全巡檢儀的設計方案，詳細闡述了巡檢儀的各個模塊的硬、軟件設計。巡檢儀集信息采集、軸溫檢測、照明和記錄存儲等功能于一體，實現了對列車安全巡檢工作有效的監督和科學管理。系統軟件采用C51編寫，對單片機進行有效的電源管理，保證了巡檢儀的穩定性、可靠性和低功耗性。
Abstract:
This paper puts forward a design of train safety inspection based on C8051F320,describes all modules hardware and software design of inspection instrument.The inspection instrument has the function of information collection, axle’s temperature detection, lighting and records storage.It can supervise and administer train safety inspection work effectively.The system software using C51 can manage the power of single chip microcomputer, and guarantee the stability, reliability and low power consumption of the inspection instrument.
針對運行中火車測速運用多普勒效應采用DSP 設計雷達測速系統并闡述了其基本設計思想與工作原理給出系統硬件軟件設計結構和原理圖改善了原有光電測速精度提高了系統工作穩定性和可靠性經實驗證明DSP 采集板工作穩定測速效果好關鍵詞DSP; 雷達測速; 多普勒效應
On Board DSP-Based Radar Speed Measurement System TANG Wei, SUN Zhi-fang, CHEN Quan (Dept.of computer Science,Yangtze University,Jingzhou 434023,China)Abstract: This paper presents a DSP-based train speed measurement by using Doppler radar. The structure of the system is introduced.The hardware and software are also discussed.Key words: DSP; rader speed measurement; doppler principle
This white paper discusses how market trends, the need for increased productivity, and new legislation have
accelerated the use of safety systems in industrial machinery. This TÜV-qualified FPGA design methodology is
changing the paradigms of safety designs and will greatly reduce development effort, system complexity, and time to
market. This allows FPGA users to design their own customized safety controllers and provides a significant
competitive advantage over traditional microcontroller or ASIC-based designs.
Introduction
The basic motivation of deploying functional safety systems is to ensure safe operation as well as safe behavior in
cases of failure. Examples of functional safety systems include train brakes, proximity sensors for hazardous areas
around machines such as fast-moving robots, and distributed control systems in process automation equipment such
as those used in petrochemical plants.
The International Electrotechnical Commission’s standard, IEC 61508: “Functional safety of
electrical/electronic/programmable electronic safety-related systems,” is understood as the standard for designing
safety systems for electrical, electronic, and programmable electronic (E/E/PE) equipment. This standard was
developed in the mid-1980s and has been revised several times to cover the technical advances in various industries.
In addition, derivative standards have been developed for specific markets and applications that prescribe the
particular requirements on functional safety systems in these industry applications. Example applications include
process automation (IEC 61511), machine automation (IEC 62061), transportation (railway EN 50128), medical (IEC
62304), automotive (ISO 26262), power generation, distribution, and transportation.
圖Figure 1. Local Safety System
闡述了軌道交通列車定位技術。介紹了在軌道交通系統中列車定位技術的功能，國內外軌道交通中主要采用的列車定位方法，重點論述了幾種主要定位技術，并從定位精度、閉塞制式、維護投資成本、抗干擾等方面進行分析比較。提出目前軌道交通定位技術應綜合運用，取長補短，多種方法相互融合，才能滿足軌道交通中對安全可靠性的要求。
Abstract:
Rail train positioning technology is described. The paper introduces the funetions of the train positioning technology in the rail transit system， the main methods of train positioning do mestic and international rail， and focuses on several key methods， analyzes and compares from the positioning accuracy， block system, maintenance and investment cost， interference and so on， suggested that the current rail positioning technology should be integrated use of positioning method of meriging， learn from each other， to meet the reliability requirements of rail safety.
This white paper discusses how market trends, the need for increased productivity, and new legislation have
accelerated the use of safety systems in industrial machinery. This TÜV-qualified FPGA design methodology is
changing the paradigms of safety designs and will greatly reduce development effort, system complexity, and time to
market. This allows FPGA users to design their own customized safety controllers and provides a significant
competitive advantage over traditional microcontroller or ASIC-based designs.
Introduction
The basic motivation of deploying functional safety systems is to ensure safe operation as well as safe behavior in
cases of failure. Examples of functional safety systems include train brakes, proximity sensors for hazardous areas
around machines such as fast-moving robots, and distributed control systems in process automation equipment such
as those used in petrochemical plants.
The International Electrotechnical Commission’s standard, IEC 61508: “Functional safety of
electrical/electronic/programmable electronic safety-related systems,” is understood as the standard for designing
safety systems for electrical, electronic, and programmable electronic (E/E/PE) equipment. This standard was
developed in the mid-1980s and has been revised several times to cover the technical advances in various industries.
In addition, derivative standards have been developed for specific markets and applications that prescribe the
particular requirements on functional safety systems in these industry applications. Example applications include
process automation (IEC 61511), machine automation (IEC 62061), transportation (railway EN 50128), medical (IEC
62304), automotive (ISO 26262), power generation, distribution, and transportation.
圖Figure 1. Local Safety System
MULTIDIMENSIONAL SCALING in matlab by Mark Steyvers 1999
％needs optimization toolbox
％Modified by Bruce Land
％--Data via globals to anaylsis programs
％--3D plotting with color coded groups
％--Mapping of MDS space to spike train temporal profiles as described in
％Aronov, et.al. "Neural coding of spatial phase in V1 of the Macaque" in
％press J. Neurophysiology
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
