Intelligent Management Platform Research Articles

Intelligent Monitoring and Energy Management Platform of New Energy Power Station in the Islands

The new energy power station in the islands is the central node with the ocean current energy,wind energy, solar energy,energy storage equipment and other types of new energy power generation confluencing,achieved intelligent monitoring and energy management for new energy power in the islands.Refer three layer and two network architecture of smart substation,presents the islands’s new energy power monitoring and energy management platform architecture,describes specific function and implementation method of the new energy power station with process layer,spacer layer and energy management layer.Based on the IEC 61850 ( Second Edition ) and IEC 61400-25 standard,the new energy power stations in the islands were standardized modelling,to ensure the platform standard and open.

ATCA/AXIe compatible board for fast control and data acquisition in nuclear fusion experiments

An in-house development of an Advanced Telecommunications Computing Architecture (ATCA) board for fast control and data acquisition, with Input/Output (IO) processing capability, is presented. The architecture, compatible with the ATCA (PICMG 3.4) and ATCA eXtensions for Instrumentation (AXIe) specifications, comprises a passive Rear Transition Module (RTM) for IO connectivity to ease hot-swap maintenance and simultaneously to increase cabling life cycle.The board complies with ITER Fast Plant System Controller (FPSC) guidelines for rear IO connectivity and redundancy, in order to provide high levels of reliability and availability to the control and data acquisition systems of nuclear fusion devices with long duration plasma discharges.Simultaneously digitized data from all Analog to Digital Converters (ADC) of the board can be filtered/decimated in a Field Programmable Gate Array (FPGA), decreasing data throughput, increasing resolution, and sent through Peripheral Component Interconnect (PCI) Express to multi-core processors in the ATCA shelf hub slots. Concurrently the multi-core processors can update the board Digital to Analog Converters (DAC) in real-time. Full-duplex point-to-point communication links between all FPGAs, of peer boards inside the shelf, allow the implementation of distributed algorithms and Multi-Input Multi-Output (MIMO) systems. Support for several timing and synchronization solutions is also provided.Some key features are onboard ADC or DAC modules with galvanic isolation, Xilinx Virtex 6 FPGA, standard Dual Data Rate (DDR) 3 SODIMM memory, standard CompactFLASH memory card, Intelligent Platform Management Controller (IPMC), two PCI Express x4 (generation 2) ATCA Fabric channels (dual-star topology), eleven Xilinx Aurora x1 (or other ATCA compatible communications protocol) ATCA fabric channels (full-mesh topology) and two Fast Ethernet (Precision Time Protocol – PTP IEEE1588-V2 and Lan eXtensions for Instrumentation – LXI compatible) ATCA base channels (dual-star topology).

Establishment of Intelligent Identification Management Platform in Railway Logistics System by Means of the Internet of Things

Railway logistics information technology is an indispensable condition for the development of modern logistics. In the background of industrialization and information interpenetrating, railway logistics should be actively taken the Internet of Things (IOT) technology to tackle the current development bottleneck problems. In this paper, an intelligent identification system of railway logistics by means of the IOT is established from the perspective of the whole system. First, we define and establish the railway logistics intelligent identification system and analysis its working principle. In the meantime, we focus on the equipment structure of the system and key components, as they bring the IOT one step closer to reality. Keywords the Internet of Things; Railway Logistics; Intelligent Identification

Real-Time IPMI Protocol Analyzer

The Advanced Telecommunications Computing Architecture (ATCA) is a modern platform, which gains popularity, not only in telecommunication applications, but also in others fields like High Energy Physics (HEP) experiments. Computing systems based on ATCA provide high performance and efficiency and are characterized by significant reliability, availability and serviceability. ATCA offers these features because of an integrated management system realized by the Intelligent Platform Management Interface (IPMI) implemented on dedicated Intelligent Platform Management Controller (IPMC). IPMC is required on each ATCA board to fulfill the ATCA standard and is responsible for many vital procedures performed to support proper operation of ATCA system. It covers, among others, activation and deactivations of modules, monitoring of actual parameters or controlling fans. The commercially available IPMI implementations are expensive and often not suited to demands of specific ATCA applications and available hardware. Thus, many research centers and commercial companies decide to develop their own version of IPMC software. Despite precise IPMI specification of communication requests and responses, these implementations are often incompatible with each other, which leads to incorrect in-system behavior of devices equipped with IPMCs from various vendors. ATCA specifies the I2C protocol as a physical layer of IPMI. There are many devices able to monitor the I2C bus such as logic analyzers or specialized oscilloscopes. However, there is no available equipment capable of debugging IPMI as a higher level protocol. The article compares available methods of IPMI debugging and describes a custom made device prepared to monitor in realtime up to eight IPMI lines and analyze the IPMI protocol. Accessibility of this kind of equipment allows to discover errors and find the reasons of faulty behavior of the IPMC under development, greatly reduce the time to market factor and decrease costs of ATCA system development.

Intelligent Platform Management Controller for Nuclear Fusion Fast Plant System Controllers

An Intelligent Platform Management Controller (IPMC) is being developed by IPFN/IST. This controller will be integrated in the Advanced Telecommunications Computing Architecture (ATCA) and Advanced Mezzanine Cards (AMC) modules that are under development for application in nuclear fusion experiments such as the ITER Fast Plant System Controller (FPSC) prototype. This controller in addition with the Shelf Manager module is responsible for the management of hardware failure, redundancy procedures, and hot swapping of the modules in the ATCA crate. The verification of compatibility between modules that share ATCA resources, the power management of each module, temperature monitoring, and fan control are, as well, tasks that the IPMC has the responsibility to manage. Other important functions of the controller are the programming of ATCA and AMC modules firmware, application specific program selection, and firmware version control. In this paper, the hardware architecture of the IPMC implementation at IPFN ATCA modules will be described.

Intelligent Platform-Management Controller for Low-Level RF Control System ATCA Carrier Board

High availability and reliability are among the most desirable features of control systems in modern high-energy physics (HEP) and other big-scale scientific experiments. One of the recent developments that has influenced this field has been the emergence of the Advanced Telecommunications Computing Architecture (ATCA). Designed for the telecommunications industry, it has been successfully applied in other domains, such as accelerator control systems. A good example is the application of ATCA standard for the design of the low-level RF (LLRF) control system for the X-Ray Free Electron Laser (XFEL) being developed in Deutsches Elektronen Synchrotron (DESY). Reliability and availability requirements for such a facility play a crucial role among other parameters. Thus, the ATCA standard, with five-nines availability, is considered to be one of the best candidates for this system. This paper focuses on the central-management unit of every ATCA board, namely, the intelligent platform-management controller (IPMC), developed for the LLRF ATCA carrier board. It is also argued that it is possible to create a fully functional IPMC using base specifications which is only a more economical solution than acquiring such products from ATCA vendors. This work supports the concept of an open-source community solution under the xTCA for physics collaboration dealing with IPMC/MMC development and wishes to contribute to it. The IPMC solution presented here is mainly hardware independent as proper code organization allowed to separate low-level device drivers and high-level application logic dealing with the ATCA standard, which makes it portable for new carrier-board designs. It also follows the latest trends in xTCA development introduced by the xTCA for Physics initiative. A firmware upgrade of programmable devices (field-programmable gate arrays and digital signal processors) has been proposed. Currently, this is not included in the standard. However, this functionality is needed in HEP applications by using xTCA and is useful in these cases.

Application research on three-dimensional virtual mine in the framework of internet of things

Based on the information system characteristics of mine, proposed network architecture design of the mine property. And in this framework based on the design of three-dimensional virtual mine described the application of intelligent management platform. Three-dimensional virtual underground mine that shows the situation, the core application is through remote monitoring system of information exchange between devices (material object communication). Internet of things in the framework of mining three-dimensional virtual reconstruction of mine. On coal mine safety in the production process of human, machine and environment, control elements and their harmony and unity. 3D virtual mine management platform integrates personnel positioning, dust control, gas monitoring, roof pressure monitoring, fan-line monitoring and other subsystems. Platform through the underground mine sensing equipment to conduct various types of monitoring data integration, through the transport layer device to transmit the information to the application layer intelligence processing software platform, the system automatically handles the operational status of each subsystem and the need for safe production under the proper introduction of human factors deal with special event. 3D virtual mine management platform to mining, excavation, transport, ventilation and other safety information quickly and accurately transmitted to the ground operation control center. Underground for the first time on the linkage between systems in case of emergencies, to provide safety for management decision support.

In-situ implementation and validation of a CO 2-based adaptive demand-controlled ventilation strategy in a multi-zone office building

This paper presents the in-situ implementation and validation of a CO 2-based adaptive demand-controlled ventilation (DCV) strategy in a super high-rise building in Hong Kong. The adaptive DCV strategy employs a dynamic multi-zone ventilation equation for multi-zone air-conditioning systems, in which a CO 2-based dynamic occupancy detection scheme is used for online occupancy detection. This strategy is implemented in an independent Intelligent Building Management and Integration platform (IBmanager), which communicates with the main station of the Building Management System (BMS) through a communication protocol and interface. The performance of this DCV strategy is practically tested and validated by comparing with that of the original fixed outdoor air flow rate control strategy used in site. The implementation architecture and test results including energy and environmental performances represented. Since the accuracy and reliability of the major measurement instrumentations affect the actual performance of the DCV strategy significantly, the commissioning and calibration of major measurement instrumentations are presented as well.

Knowledge cultivating for intelligent decision making in small & middle businesses

Small and middle businesses (SMBs) are playing an increasingly important role, but their decision making process mostly relies on skilled employees which are usually inadequate. Based on information systems, data mining and Extension Theory (Extenics), we present a knowledge cultivating method and design a knowledge management platform for improve decision making quality. Through divergence analysis, correlation analysis, and implication analysis, a flow chart of knowledge cultivating algorithm has been designed, and an intelligent knowledge management platform has been developed. By collecting knowledge or information from conditions and the goal, we choose several knowledge as seed, then distribute it to all the department leaders, let them input relative knowledge including data mining knowledge to the platform. The platform then connects them into a knowledge tree with Human-Computer Interaction and enterprise ontology techniques intelligently. From the knowledge tree, we can find the problem solving map and guide the managers in SBMs to take actions by scanning all possible paths. The application in a food company proved its practicality value.

Management of Online Processing Farms in the ATLAS Experiment

The ATLAS experiment will use of order three thousand nodes for the online processing farms. The administration of such a large cluster is a challenge. The ability to quickly turn on/off machines, especially after a power cut, and the ability to remote monitor the hardware health whether the machine be on or off are some of the major issues. To solve these problems ATLAS has decided wherever possible to use Intelligent Platform Management Interfaces (IPMI) for its nodes. This paper will present the mechanisms which were developed to allow the distribution of management and monitoring commands to many machines. These commands were run simultaneously on the prototype farm, by taking into account the specificities of the different IPMI versions and implementations, and the network topology. Results from timing measurements for the distribution of commands to many nodes, for booting and for shutting down of the nodes will be shown with an extrapolation to the final cluster size.

96/04238 The design, layout and maintenance of ventilation and air conditioning on the basis of hygiene requirements in standards

This paper presents the in-situ implementation and validation of a CO2-based adaptive demand-controlled ventilation (DCV) strategy in a super high-rise building in Hong Kong. The adaptive DCV strategy employs a dynamic multi-zone ventilation equation for multi-zone air-conditioning systems, in which a CO2-based dynamic occupancy detection scheme is used for online occupancy detection. This strategy is implemented in an independent Intelligent Building Management and Integration platform (IBmanager), which communicates with the main station of the Building Management System (BMS) through a communication protocol and interface. The performance of this DCV strategy is practically tested and validated by comparing with that of the original fixed outdoor air flow rate control strategy used in site. The implementation architecture and test results including energy and environmental performances represented. Since the accuracy and reliability of the major measurement instrumentations affect the actual performance of the DCV strategy significantly, the commissioning and calibration of major measurement instrumentations are presented as well.

Alarm correlation

The authors discuss the development of an alarm correlation model and a corresponding software support system that allow efficient specification of alarm correlation by the domain experts themselves. Emphasis is placed on the end-user orientation of IMPACT, the intelligent management platform for alarm correlation tasks which implements the proposed model. The desire was to lower the barrier between the network management application development process and the end user of the application, the network management personnel. IMPACT is a step towards this goal. The proposed alarm correlation model was used for three purposes: intelligent alarm filtering, alarm generalization and fault diagnosis.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>