The Experts below are selected from a list of 433368 Experts worldwide ranked by ideXlab platform

Xinshuai Fu - One of the best experts on this subject based on the ideXlab platform.

  • Big Data-Based Improved Data Acquisition and Storage System for Designing Industrial Data Platform
    IEEE Access, 2019
    Co-Authors: Daoqu Geng, Chengyun Zhang, Chengjing Xia, Xue Xia, Qilin Liu, Xinshuai Fu
    Abstract:

    Big Data-based acquisition and storage system (ASS) plays an important role in the design of Industrial Data platform. Many big Data frameworks have been integrated compression and serialization method. These methods cannot meet the needs of Industrial production information management for requiring time-consuming and mass storage. Based on the existing big Data frameworks, we propose an enhanced Industrial big Data platform in order to reduce the Data processing time while requiring fewer Data storage space. Specifically, this paper focuses on evaluating the impact of multiple compression and serialization methods on big Data platform performance and tries to choose optimal compression and serialization methods for the Industrial Data platform. Compared to the methods integrated in Hadoop and Spark, the experimental results showed the Data compression time of the platform has been reduced by 73.9% with a less than 96% the size of Data compressed, furthermore, the Data serialization time has been reduced by 80.8%. With the increasing amount of Data, it takes less time to compare with benchmark methods.

Maciej Franek - One of the best experts on this subject based on the ideXlab platform.

  • FPGA BASED OPC UA EMBEDDED Industrial Data SERVER IMPLEMENTATION
    Journal of Circuits Systems and Computers, 2013
    Co-Authors: Rafal Cupek, Adam Ziebinski, Maciej Franek
    Abstract:

    Contemporary computer systems used in the industry are characterized by both an increase in the scale of supported Industrial processes measured by the number of control devices and the increasing demand for information describing the underlying processes measured by the number of tags used in Supervisory Control and Data Acquisition (SCADA) systems and Manufacturing Execution Systems (MES). Classical Industrial Data servers based on the PC architecture are unreliable, expensive to operate and difficult to manage. The alternative is a new standard OPC UA communication interface that simplifies the communication protocol and increases the flexibility of the process Data description which allow for the direct implementation of OPC UA servers in embedded devices. This paper presents an innovative approaches in the field of Industrial Data servers which are used for communication between control systems and SCADA or MES systems. The prototype Industrial Data server architecture has been implemented, run and tested on the platform of embedded system based on FPGA matrix with built-in FPGA Microblaze processor. The presented experimental results allow to evaluate the applicability of the proposed solution, the limits of the presented architecture and may be used for the improvement of the embedded Industrial Data servers' structure in subsequent implementations.

  • fpga based opc ua embedded Industrial Data server implementation
    Journal of Circuits Systems and Computers, 2013
    Co-Authors: Rafal Cupek, Adam Ziebinski, Maciej Franek
    Abstract:

    Contemporary computer systems used in the industry are characterized by both an increase in the scale of supported Industrial processes measured by the number of control devices and the increasing demand for information describing the underlying processes measured by the number of tags used in Supervisory Control and Data Acquisition (SCADA) systems and Manufacturing Execution Systems (MES). Classical Industrial Data servers based on the PC architecture are unreliable, expensive to operate and difficult to manage. The alternative is a new standard OPC UA communication interface that simplifies the communication protocol and increases the flexibility of the process Data description which allow for the direct implementation of OPC UA servers in embedded devices. This paper presents an innovative approaches in the field of Industrial Data servers which are used for communication between control systems and SCADA or MES systems. The prototype Industrial Data server architecture has been implemented, run and tested on the platform of embedded system based on FPGA matrix with built-in FPGA Microblaze processor. The presented experimental results allow to evaluate the applicability of the proposed solution, the limits of the presented architecture and may be used for the improvement of the embedded Industrial Data servers' structure in subsequent implementations.

Daoqu Geng - One of the best experts on this subject based on the ideXlab platform.

  • Big Data-Based Improved Data Acquisition and Storage System for Designing Industrial Data Platform
    IEEE Access, 2019
    Co-Authors: Daoqu Geng, Chengyun Zhang, Chengjing Xia, Xue Xia, Qilin Liu, Xinshuai Fu
    Abstract:

    Big Data-based acquisition and storage system (ASS) plays an important role in the design of Industrial Data platform. Many big Data frameworks have been integrated compression and serialization method. These methods cannot meet the needs of Industrial production information management for requiring time-consuming and mass storage. Based on the existing big Data frameworks, we propose an enhanced Industrial big Data platform in order to reduce the Data processing time while requiring fewer Data storage space. Specifically, this paper focuses on evaluating the impact of multiple compression and serialization methods on big Data platform performance and tries to choose optimal compression and serialization methods for the Industrial Data platform. Compared to the methods integrated in Hadoop and Spark, the experimental results showed the Data compression time of the platform has been reduced by 73.9% with a less than 96% the size of Data compressed, furthermore, the Data serialization time has been reduced by 80.8%. With the increasing amount of Data, it takes less time to compare with benchmark methods.

Rafal Cupek - One of the best experts on this subject based on the ideXlab platform.

  • FPGA BASED OPC UA EMBEDDED Industrial Data SERVER IMPLEMENTATION
    Journal of Circuits Systems and Computers, 2013
    Co-Authors: Rafal Cupek, Adam Ziebinski, Maciej Franek
    Abstract:

    Contemporary computer systems used in the industry are characterized by both an increase in the scale of supported Industrial processes measured by the number of control devices and the increasing demand for information describing the underlying processes measured by the number of tags used in Supervisory Control and Data Acquisition (SCADA) systems and Manufacturing Execution Systems (MES). Classical Industrial Data servers based on the PC architecture are unreliable, expensive to operate and difficult to manage. The alternative is a new standard OPC UA communication interface that simplifies the communication protocol and increases the flexibility of the process Data description which allow for the direct implementation of OPC UA servers in embedded devices. This paper presents an innovative approaches in the field of Industrial Data servers which are used for communication between control systems and SCADA or MES systems. The prototype Industrial Data server architecture has been implemented, run and tested on the platform of embedded system based on FPGA matrix with built-in FPGA Microblaze processor. The presented experimental results allow to evaluate the applicability of the proposed solution, the limits of the presented architecture and may be used for the improvement of the embedded Industrial Data servers' structure in subsequent implementations.

  • fpga based opc ua embedded Industrial Data server implementation
    Journal of Circuits Systems and Computers, 2013
    Co-Authors: Rafal Cupek, Adam Ziebinski, Maciej Franek
    Abstract:

    Contemporary computer systems used in the industry are characterized by both an increase in the scale of supported Industrial processes measured by the number of control devices and the increasing demand for information describing the underlying processes measured by the number of tags used in Supervisory Control and Data Acquisition (SCADA) systems and Manufacturing Execution Systems (MES). Classical Industrial Data servers based on the PC architecture are unreliable, expensive to operate and difficult to manage. The alternative is a new standard OPC UA communication interface that simplifies the communication protocol and increases the flexibility of the process Data description which allow for the direct implementation of OPC UA servers in embedded devices. This paper presents an innovative approaches in the field of Industrial Data servers which are used for communication between control systems and SCADA or MES systems. The prototype Industrial Data server architecture has been implemented, run and tested on the platform of embedded system based on FPGA matrix with built-in FPGA Microblaze processor. The presented experimental results allow to evaluate the applicability of the proposed solution, the limits of the presented architecture and may be used for the improvement of the embedded Industrial Data servers' structure in subsequent implementations.

Mel Lammers - One of the best experts on this subject based on the ideXlab platform.