35 resultados para Performance Measurement System, PMS, review PMS, KPIs


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本文提出了一种基于人工神经网络的多线阵相机系统标定与 3D定位方法 ,并应用于基于多线阵相机构成的视觉空间定位系统 .该视觉定位系统利用了线阵相机的快速性与高分辨率的特点 ,非平行空间投影面相交定位的基本原理 ,实现了这种结构下快速、高精度空间定位 .实验表明 ,人工神经网络的定位方法简化了多线阵视觉定位系统标定与定位计算的复杂性 ,在定位精度上达到了良好效果 .为机器人位置反馈控制提供了有效的技术途径

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本文给出了一种基于视觉的、造价低廉实用的非接触式机器人直线轨迹测量系统 .该测量系统由结构光视觉传感器、测量轨道、主控计算机及相关软件组成 .视觉传感器可固定于机器人末端 .当机器人末端带动视觉传感器沿测量轨道做直线运动时 ,通过传感器测量相对测量轨道的连续位姿关系 ,就可间接描述机器人末端的运动轨迹 .当重复同一直线运动时 ,可检测出机器人的轨迹重复性 .本文综述了机器人直线轨迹测量设备的研究现状 ,介绍了轨迹检测系统的测量原理 ,重点讨论了该测量系统的两个关键技术 :空间特征点的图象提取技术和三维坐标计算方法 ,并描述了该系统的结构、性能指标和测量试验结果 .

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提出一种适用于深海应答器坐标测量的方法:垂线相交法。这种方法利用立体几何原理,获得应答器坐标。即测量母船在距应答器适中的位置沿两条相互垂直的航迹航行,分别找到两条航迹上与应答器斜距最小的点,过这两个点在水平面上做两条垂线,交点的经纬度坐标就是应答器的经纬度坐标。分析了影响测量误差的重要因素,并提出测量原则以满足精度要求,使测量系统具有很好的鲁棒性。为提高测距精度,采用射线声学理论中的RRA算法对声线进行修正。仿真实验证明了垂线相交法的有效性。该测量方法对深度没有要求,简化了繁琐的现场操作和水声测量系统,具有很高的工程实用价值。

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本文介绍了一种非接触式(LW-1型)机器人重复位姿精度检测系统.该系统采用电涡流传感器作为位置信息传感器.以这种传感器的检测性能为基础,研究设计了相应的传感器测量结构、数学模型和坐标变换求解方法,使系统技术指标及使用性能达到了检测机器人重复位姿精度的实用要求.该系统具有鲁棒性强、设计合理、结构简单、造价低廉等特点,可以满足我国现阶段在机器人学研究和机器人开发应用方面的需求

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In the paper through extensive study and design, the technical plan for establishing the exploration database center is made to combine imported and self developed techniques. By research and repeated experiment a modern database center has been set up with its hardware and network having advanced performance, its system well configured, its data store and management complete, and its data support being fast and direct. Through study on the theory, method and model of decision an exploration decision assistant schema is designed with one decision plan of well location decision support system being evaluated and put into action. 1. Study on the establishment of Shengli exploration database center Research is made on the hardware configuration of the database center including its workstations and all connected hardware and system. The hardware of the database center is formed by connecting workstations, microcomputer workstations, disk arrays, and those equipments used for seismic processing and interpretation. Research on the data store and management includes the analysis of the contents to be managed, data flow, data standard, data QC, data backup and restore policy, optimization of database system. A reasonable data management regulation and workflow is made and the scientific exploration data management system is created. Data load is done by working out a schedule firstly and at last 200 more projects of seismic surveys has been loaded amount to 25TB. 2. Exploration work support system and its application Seismic data processing system support has the following features, automatic extraction of seismic attributes, GIS navigation, data order, extraction of any sized data cube, pseudo huge capacity disk array, standard output exchange format etc. The prestack data can be accessed by the processing system or data can be transferred to other processing system through standard exchange format. For supporting seismic interpretation system the following features exist such as auto scan and store of interpretation result, internal data quality control etc. the interpretation system is connected directly with database center to get real time support of seismic data, formation data and well data. Comprehensive geological study support is done through intranet with the ability to query or display data graphically on the navigation system under some geological constraints. Production management support system is mainly used to collect, analyze and display production data with its core technology on the controlled data collection and creation of multiple standard forms. 3. exploration decision support system design By classification of workflow and data flow of all the exploration stages and study on decision theory and method, target of each decision step, decision model and requirement, three concept models has been formed for the Shengli exploration decision support system including the exploration distribution support system, the well location support system and production management support system. the well location decision support system has passed evaluation and been put into action. 4. Technical advance Hardware and software match with high performance for the database center. By combining parallel computer system, database server, huge capacity ATL, disk array, network and firewall together to create the first exploration database center in China with reasonable configuration, high performance and able to manage the whole data sets of exploration. Huge exploration data management technology is formed where exploration data standards and management regulations are made to guarantee data quality, safety and security. Multifunction query and support system for comprehensive exploration information support. It includes support system for geological study, seismic processing and interpretation and production management. In the system a lot of new database and computer technology have been used to provide real time information support for exploration work. Finally is the design of Shengli exploration decision support system. 5. Application and benefit Data storage has reached the amount of 25TB with thousand of users in Shengli oil field to access data to improve work efficiency multiple times. The technology has also been applied by many other units of SINOPEC. Its application of providing data to a project named Exploration achievements and Evaluation of Favorable Targets in Hekou Area shortened the data preparation period from 30 days to 2 days, enriching data abundance 15 percent and getting information support from the database center perfectly. Its application to provide former processed result for a project named Pre-stack depth migration in Guxi fracture zone reduced the amount of repeated process and shortened work period of one month and improved processing precision and quality, saving capital investment of data processing of 30 million yuan. It application by providing project database automatically in project named Geological and seismic study of southern slope zone of Dongying Sag shortened data preparation time so that researchers have more time to do research, thus to improve interpretation precision and quality.