Tank farm technology
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The document discusses a Supervisory Control and Data Acquisition (SCADA) system called the Tank Farm Subsystem (TFS) that controls the operation of oil and gas storage infrastructure. TFS uses a generic SCADA package called Real Time Application Platform (RTAP) along with customized software tools and a graphical user interface to monitor and control tank farms. It runs on HP workstations using a UNIX operating system and is configured with primary and backup computers connected over a local area network. The data structure of TFS is built around configurable point types that contain values, algorithms, and security features to model inputs, outputs, and calculations.
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This paper describes an integrated performance monitoring environment for parallel systems. It consists of:
1) A distributed monitoring system that collects performance data from instrumented applications and sends it to analysis tools.
2) Graphical and command-line profiling and visualization tools that analyze the performance data to identify bottlenecks.
3) A common graphical interface that provides a consistent way to instrument applications, start tool runs, and view performance results across different tools.
The environment aims to handle large amounts of performance data from massively parallel applications and provide insights at both the application and system level. It is initially targeted for the Intel Paragon but is designed to support different programming models.
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A NETWORK-BASED DAC OPTIMIZATION PROTOTYPE SOFTWARE 2 (1).pdf
The International Journal of Engineering and Science and Research is online journal in English published. The aim is to publish peer review and research articles without delay in the developing in engineering and science Research.The International Journal of Engineering and Science and Research is online journal in English published. The aim is to publish peer review and research articles without delay in the developing in engineering and science Research.
Brochure of Yokogawa's Fast/Tools Supervisory Systems
The document summarizes the capabilities of the FAST/TOOLS supervisory control and data acquisition (SCADA) system. It describes FAST/TOOLS as a powerful, state-of-the-art, flexible distributed operations and information system that utilizes the latest IT technology. The system offers reliability, availability, security, integration capabilities and comprehensive functions for alarm management, trending, reporting and more. It can be deployed globally using a web-based architecture and supports oil and gas, manufacturing and other critical industrial applications.
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This document describes the design of an ARM-based data acquisition and control system for monitoring engine assembly. The system uses an ARM7 microcontroller to acquire data from assembly tools like a DC nutrunner via Ethernet. It then analyzes the torque values to determine if the assembly process parameters are within acceptable limits and provide output as OK or NOK. The system offers networked control and data acquisition through an industrial Ethernet network using TCP/IP protocol. This provides a low-cost and flexible alternative to traditional distributed control systems for engine assembly quality monitoring and control.
Distributed control system
A distributed control system (DCS) is described. Key points:
- A DCS uses sensors, controllers, and computers distributed throughout a plant and connected by a local network. It makes automated decisions in real-time to control complex production processes.
- DCS are commonly used in large, continuous process plants like petrochemical facilities to efficiently coordinate control on a centralized network.
- Compared to alternative options like PLCs, DCS are preferred because the manufacturer provides both controller and supervisory functions in an integrated package.
HMI Replacement_GE MARK V, ABB Procontrol 13, MHI MIDAS 8000, SIEMEN TXP
BNF Technology Inc. is specialized in software solution for DCS HMI, Data Historian, Predictive Analytic, Real-time Performance Monitoring solution for Process Industry.
Stop Wasting Energy on M2M
This document discusses new approaches for machine-to-machine (M2M) and internet of things (IoT) projects in utilities and energy markets. It argues that current point solutions have increased costs due to lack of interoperability and inability to share resources. The document advocates thinking holistically about entire ecosystems rather than individual problems, and leveraging existing technology standards. It introduces Eurotech's approach of using integration platforms and device application frameworks to enable more efficient and flexible M2M/IoT systems.
GDPS and System Complex
This document discusses mainframe clustering techniques including logical partitioning (LPAR), basic shared storage, channel-to-channel connections (CTC), and parallel sysplex. A parallel sysplex uses a coupling facility to connect multiple mainframes, providing data sharing and workload distribution. Geographically dispersed parallel sysplex (GDPS) extends this across data centers, with technologies like PPRC for synchronous data mirroring. GDPS includes a controlling system to automate failure recovery and switching between primary and secondary sites. Mainframe clustering maximizes availability, scalability and disaster recovery capabilities.
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QU本科学位证成绩单【微信95270640】《皇后大学毕业证书原版制作QU成绩单》【Q微信95270640】《仿制QU毕业证成绩单皇后大学学位证书pdf电子图》，A.为什么留学生需要操作留信认证?
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Tank farm technology
- 1. TANK FARM TECHNOLOGY WITH TOTAL INTEGRATED AUTOMATION The operation of the infrastructure is controlled by a Supervisory Control and Data Acquisition (SCADA) system with two component: a Pipeline Control (transportation) Subsystem (PCS) and a Tank Farm (storage) Subsystem (TFS). This presents the configuration, features, performance and future of the tank farm SCADA subsystem (TFS). The software generally in use is based on the Real Time Application Platform (RTAP), a generic SCADA package developed by Agilent Technology. Besides oil and gas transportation and storage, the platform is currently in use for many application types including petrochemical plants, GPS, gas plants, oil field control. Over several years, it has been designed and implemented layer upon layer of communication and configuration tools, data structures and calculation engines, as well as an original Graphical User’s Interface (GUI) to make TFS an effective, highly customized, open and easy to use control tool. The System 1. Hardware and infrastructure: TFS currently run on HP’s J class workstations with 256/512 MB RAM and 2 PA-8200 processors. At each site the local equipment is interconnected within a Local Area Network (LAN) running on twisted pair cable at speeds of 10Mbps to 100Mbps. 2. Operating System and Programming Language: TFS workstations use Hewlett-Packard’s UNIX operating system. 3. Configuration: Each TFS operates on a primary computer, a back up computer with an X-terminal to add more viewing capabilities and one or two printers. 4. Data Structure: It is built around the concept of point type/class, a collection of attributes containing values, algorithms, status and alarm reporting features and security. A point class models: An analogy/digital/string/pulse input output and user defined calculations. 5. The environment: The environment defines the collection of related process and associated resources that are managed by a scheduler to perform all TFS functions. When is AUTOMATION the logical choice? When distances and Topological condition are challenging. When the installation or replacement of the field wiring is a safety concern. When we want to reduce cost and complexity. When existing tank instrumentation needs modernizing.