以提升风险管控能力为目标的“大监控”体系构建

突破传统的“孤立的”监测某项专题或者业务运转情况,借助“社交网络互联思维”,将公司各业务条线和管理层级视为一个有机整体,全面融合运营监测工作成果,以“点-线-面-网”四个层次网络体系为设计框架,聚焦“四个最好”,集合公司内部监控力量,构建公司协同监督体系,充分发挥资源集合和协同管理效应,开展系统性、立体化、全方位梳理与监测,从而支撑公司战略决策,实现“纵横交错、由表及里、深入浅出、融会贯通“的“大监控”体系。

油田生产指挥与应急管理系统应用与实践

针对目前大监控管理模式下,技术人员流动性大、工作执行效率低、管理难度大等现场管理问题,开发了一套具有数据可视化、管理高效化的生产指挥与应急管理系统,实现工作任务自动推送、工作内容自动提醒、作业审批信息化管理、作业过程实时监控、重点环节在线确认、工作记录和报表自动生成等功能,不断压缩管理层级,持续优化劳动组织架构,完成作业区及中心站现场生产运行工作的闭环管理,较好地支撑形成区域共享、大集体、集约型的运行方式。

Genetic Regression Model for Dam Safety Monitoring

Under-fitting problems usually occur in regression models for dam safety monitoring.To overcome the local convergence of the regression, a genetic algorithm (GA) was proposed using a real parameter coding, a ranking selection operator, an arithmetical crossover operator and a uniform mutation operator, and calculated the least-square error of the observed and computed values as its fitness function. The elitist strategy was used to improve the speed of the convergence. After that, the modified genetic algorithm was applied to reassess the coefficients of the regression model and a genetic regression model was set up. As an example, a slotted gravity dam in the Northeast of China was introduced. The computational results show that the genetic regression model can solve the under-fitting problems perfectly.

Monitoring the Deformation of Cableways

One type of aerial cableway consists of a continuous cable,which works at the same time as carrying cable and drawing cable.This kind of cableway is supported by many towers,which divide the total length in linear sections.Even small deviations from the planed layout can increase the strain of the cable and the danger of derailments.The deviations of the position of the towers from the planed layout are due to local sliding or sinking of the foundation or other mechanical movements.Up to now the axis of the cableways were periodically measured by traditional methods.The goal of this project is to demonstrate the possibility of measuring the axis of a cableway with GPS techniques,while the cable is moving.The results show that the proposed measuring device provides precise results in a simple and reliable way.

Evaluation and Forecasting of Elapsed Fatigue Life of Ship Structures by Analyzing Data from Full Scale Ship Structural Monitoring

This paper describes the activities carried out by CETENA in collaboration with the Italian Navy to assess the behavior of new FREMM frigates by means of an automatic hull monitoring system and to predict the expected fatigue life of ship structure by analyzing recorded data through a specifically developed post-processing tool.

Video segmentation using Maximum Entropy Model

Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Most current approaches only focus on discriminating moving objects by background subtraction whether or not the objects of interest can be moving or stationary. In this paper, we propose layers segmentation to detect both moving and stationary target objects from surveillance video. We extend the Maximum Entropy (ME) statistical model to segment layers with features, which are collected by constructing a codebook with a set of codewords for each pixel. We also indicate how the training models are used for the discrimination of target objects in surveillance video. Our experimental results are presented in terms of the success rate and the segmenting precision.

Monitoring the Technical Condition of Dams of Hydroelectric Power Plants with an Automated Monitoring and Earthquake Registration System

An approach is described that has been developed for auxiliary monitoring of technical condition of hydropower plant dams. It is based on analysis of changes in dynamic characteristics of dams obtained by an automated monitoring and earthquake registration system that records microseismic vibrations of structures. The configuration of the system as well as the results of seismometric monitoring of the dam of Krasnoyarsk hydroelectric power plant are described. To study behavior of the dam under normal and extreme loads it was proposed to develop a model of the dam with the use of the finite element method.

A New GPS Deformation Monitoring Algorithm Applied to Donghai Bridge

A real-time,long-round global positioning system (GPS) bridge-deformation monitoring technology was proposed,which processes the carrier phase of multiple GPS receivers in an operation center.It was demon- strated an extended Kalman filter with triple differential ionospheric-free measurement (EKF-TIF) which can eliminate the ionospheric delay,whiten the TIF noise and optimize the results of EKF,consequently,achieves a better performance than existing real time kinematic (RTK) solution.An experiment,which takes an active ionosphere condition into consideration,proves the feasibility of this system by comparing its records to that of a traditional RTK solution,practically,the system installed on the Donghai Bridge has survived a non-break running for five months.The analysis to the monitoring records shows the system achieves the designed accu- racy and reliability.

Design and Implementation of Monitoring System for Buildin~ Energy Consumption

This paper analyzes the shortcomings of ECOTECT simulation software, puts forward the real-time energy consumption monitoring software. According to the structural characteristics of large public buildings, the paper proposes the key technology development and the functions of the software platform, and provides RS485 communication code. The research results in this paper have some practical value on energy consumption of large-scale construction monitoring.

Monitoring of Large Size Solar Thermal Systems： Design and Data Analysis

This paper describes how to achieve an efficient design and management of a tele-monitoring system of several solar thermal plants. The system will be able to make an analysis that assures a more efficient management of each plant and of the whole system. In the first part of this study, the features of the monitoring system that allows to monitor the operating parameters and to discover the issues before they actually become dangerous for the plant have been identified. The data collected in the different solar thermal systems realized in Italian jails have been analyzed. The results of these elaborations allowed us both to find out some anomalies of functioning of the plants, and to optimize the management of the whole plant in a more efficient way.

Technical research on control of caisson construction for the middle tower foundation of Taizhou Bridge

The real-time informational monitoring system is adopted in the construction of middle tower foundation of Taizhou Bridge for the first time. The geometric state of the caisson, the stress of upstream and downstream anchorage cables, underwater topography, the drag forces of the caisson cutting edge and frictional resistances of the sidewall and etc. are monitored in real time. According to the synthesized data analysis and decision-making system, the spatial states of the caisson are adjusted in time to locate and embed the deep water caisson precisely. The offset error of the caisson is less than 30 cm and the vertical error is 1/363 at the final stage. The control technology for construction of large caisson under deep water is concluded and would be helpful for the construction of bridge foundation in the future.

Chinese English Learners＇ Text Reading Strategy Research

Reading strategies are different from identifying the words, but a kind of metacognitive activity based on the monitoring mode. This paper will explore Chinese English learners＇ text reading strategies according to the cognitive process of the reading, hoping for providing some suggestions and references for Chinese college students to learn English well and improve the text reading ability.

Internet Regulation, a New Approach： Outline of a System Formed to Be Controlled by the Internet Users

This paper describes an outline for the proper design of a Fair Internet Regulation System （FIRS）, i.e., a system that will be implemented in a national level and encourage the participation of Internet users in enriching and correcting its ＂behavior＂. Authors aim to design a system that will be operated in some extent by the Internet users, and so it will be easier to be accepted by Western democracies willing to implement a fair Internet regulation policy. Last, the authors state the importance of using well-designed surveys prior to the implementation of FIRS, announce the launch of an online tool （WebObserver.net） and invite researchers to be part of this international effort.

基于SCADA系统的多算法融合报警技术研究

针对目前大监控模式下SCADA系统在油田应用过程中存在报警基数大、无效报警多、智能化程度低等突出性问题,采用了一种多算法融合的报警技术。首先,分析数据间内在关联关系,重新划分报警等级;其次,采用统计学模型,通过正态分布确定合理的报警阈值;最后,运用死区报警、延时报警、复合联动报警与死值报警相结合,形成融合报警技术。研究结果表明:该技术在油田现场应用效果明显,相比于原有单纯依靠故障报警阈值的触发机制,报警数量降幅可达90%以上,处置工作的效率提升95%以上,能有效提升油田开发、生产运行、安全环保等重点业务的监控效率,为大监控管理模式落地提供技术支撑保障。

SELF-REGULATION IN COLLEGE ENGLISH WRITING

本文是关于在非英语专业大学英语写作教学中引入自我监控理论,帮助受试对自己的写作过程进行自我监控,以便提高大学生英语写作水平的一项实证研究。本研究以非英语专业102名一年级学生作为受试,分为实验班和控制班进行研究。研究结果表明,通过对写作过程的自我监控,受试的英语写作水平得到了提高。受试通过运用诸如annotation、graphic organizer、mnemonics、checklists等自我监控策略,不仅只关注语言表层错误,而且开始关注文章内容、文章结构等整体因素。