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Proceedings ArticleDOI: 10.1109/INDICON.2015.7443167

Design of SCADA based wireless monitoring and control system using ZigBee

01 Dec 2015-pp 1-6
Abstract: Monitoring and control of critical parameters is of paramount importance for most of the industrial processes. But laying cables from various sensors and actuators to monitoring stations increases cost and complexity. This problem calls for wireless implementations for monitoring and control applications. This paper presents a low cost wireless temperature monitoring and control system based on ZigBee wireless communication protocol. The system uses Microchip's PIC18F458 microcontroller as the field unit and NI LabVIEW interface as the monitoring unit. It utilizes a precision temperature sensor IC, which being a low cost sensor provides a reliable output within its operating range. The system follows a request-response methodology, where the field unit responds to the requests made by the monitoring unit.

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Proceedings ArticleDOI: 10.1109/ICAEE48663.2019.8975695
Naeem Mohammad1, Md. Shahjahan1Institutions (1)
01 Sep 2019-
Abstract: Present industrial Supervisory Control and Data Acquisition (SCADA) systems use different protocols along with various modes and mediums of communication to transfer data in remote places. Most of the existing protocols work with the same transmission mode. Drawbacks of such communication protocols caused wireless communication schemes to flourish, facilitating the design of wireless monitoring and controlling systems. In this paper, a unique approach to monitor data and control devices using industrial website by the implementation of Internet of Things (IoT) technology is presented. A standard wireless system based on Internet is designed to connect individual devices without the dependency on their compatibility, overcoming the limitations of extant communication protocols by ensuring secure and reliable data transmission.

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Topics: Communications protocol (59%), SCADA (58%), The Internet (53%) ...read more
References
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Open accessProceedings ArticleDOI: 10.1109/CDC.2012.6425820
01 Dec 2012-
Abstract: Recent developments in computer and communication technologies have led to a new type of large-scale resource-constrained wireless embedded control systems. It is desirable in these systems to limit the sensor and control computation and/or communication to instances when the system needs attention. However, classical sampled-data control is based on performing sensing and actuation periodically rather than when the system needs attention. This paper provides an introduction to event- and self-triggered control systems where sensing and actuation is performed when needed. Event-triggered control is reactive and generates sensor sampling and control actuation when, for instance, the plant state deviates more than a certain threshold from a desired value. Self-triggered control, on the other hand, is proactive and computes the next sampling or actuation instance ahead of time. The basics of these control strategies are introduced together with a discussion on the differences between state feedback and output feedback for event-triggered control. It is also shown how event- and self-triggered control can be implemented using existing wireless communication technology. Some applications to wireless control in process industry are discussed as well.

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  • Fig. 2: Configuration with shared network only in the sensorto-controller (s-c) channel.
    Fig. 2: Configuration with shared network only in the sensorto-controller (s-c) channel.
  • Fig. 4: Networked control configuration.
    Fig. 4: Networked control configuration.
  • Fig. 5: Observer-based PETC strategy with only s-c ETM.
    Fig. 5: Observer-based PETC strategy with only s-c ETM.
  • Fig. 8: Superframe time organization of the slotted IEEE 802.15.4 protocol.
    Fig. 8: Superframe time organization of the slotted IEEE 802.15.4 protocol.
  • Fig. 6: Comparison of discrete-time observer-based event-triggered control strategies.
    Fig. 6: Comparison of discrete-time observer-based event-triggered control strategies.
  • + 2

1,263 Citations


Open accessProceedings ArticleDOI: 10.1109/RTAS.2008.15
Jianping Song1, Song Han1, Aloysius K. Mok1, Deji Chen2  +2 moreInstitutions (2)
22 Apr 2008-
Abstract: Wireless technology has been regarded as a paradigm shifter in the process industry. The first open wireless communication standard specifically designed for process measurement and control applications, WirelessHART was officially released in September 2007 (as a part of the HART 7 Specification). WirelessHART is a secure and TDMA- based wireless mesh networking technology operating in the 2.4 GHz ISM radio band. In this paper, we give an introduction to the architecture of WirelessHART and share our first-hand experience in building a prototype for this specification. We describe several challenges we had to tackle during the implementation, such as the design of the timer, network wide synchronization, communication security, reliable mesh networking, and the central network manager. For each challenge, we provide a detailed analysis and propose our solution. Based on the prototype implementation, a simple WirelessHART network has been built for the purpose of demonstration. The demonstration network in turn validates our design. To the best of our knowledge, this is the first reported effort to build a WirelessHART protocol stack.

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  • Table 1. The superframe configuration
    Table 1. The superframe configuration
  • Figure 1. Architecture of HART Communication Protocol
    Figure 1. Architecture of HART Communication Protocol
  • Figure 2. WirelessHART Data Link Layer Architecture
    Figure 2. WirelessHART Data Link Layer Architecture
  • Figure 6. Topology of the WirelessHART Network in Fig. 4
    Figure 6. Topology of the WirelessHART Network in Fig. 4
  • Figure 4. WirelessHART Mesh Networking
    Figure 4. WirelessHART Mesh Networking
  • + 4

Topics: WirelessHART (78%), Wireless mesh network (57%), Mesh networking (55%) ...read more

598 Citations


Open accessBook
26 Dec 2002-
Abstract: Master process control hands on, through practical examples and MATLAB(R) simulationsThis is the first complete introduction to process control that fully integrates software tools-enabling professionals and students to master critical techniques hands on, through computer simulations based on the popular MATLAB environment. Process Control: Modeling, Design, and Simulation teaches the field's most important techniques, behaviors, and control problems through practical examples, supplemented by extensive exercises-with detailed derivations, relevant software files, and additional techniques available on a companion Web site. Coverage includes: Fundamentals of process control and instrumentation, including objectives, variables, and block diagrams Methodologies for developing dynamic models of chemical processes Dynamic behavior of linear systems: state space models, transfer function-based models, and more Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis Frequency response analysis techniques for evaluating the robustness of control systems Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhancements to improve disturbance rejection Split-range, selective, and override strategies for switching among inputs or outputs Control loop interactions and multivariable controllers An introduction to model predictive control (MPC)Bequette walks step by step through the development of control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. The book also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve several key control problems, ranging from robustness analyses to biochemical reactors, biomedical problems to multivariable control.

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Topics: Instrumentation and control engineering (66%), Automatic control (63%), Gain scheduling (62%) ...read more

583 Citations


Proceedings ArticleDOI: 10.1109/CIMCA.2005.1631480
Kay Soon Low1, W.N.N. Win1, Meng Joo Er1Institutions (1)
28 Nov 2005-
Abstract: Deployment of large population of sensors for sophisticated sensing and control in the industrial and commercial infrastructures is a challenging research area. The use of wireless sensor network (WSN) for industrial applications has attracted a great deal of interests today. Unlike the office networks, the industrial environment for wireless sensor networks are harsher due to the unpredictable variations in temperature, pressure, humidity, present of heavy equipments etc. In this paper, we present a survey of wireless sensor network for industrial applications. The interference and other issues that could be encountered in WSN are discussed and strategies to improve the link quality are described

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206 Citations


Journal ArticleDOI: 10.1109/TII.2013.2262281
Jose Araujo, Manuel Mazo1, Adolfo Anta, Paulo Tabuada2  +1 moreInstitutions (2)
Abstract: Wide deployment of wireless sensor and actuator networks in cyber-physical systems requires systematic design tools to enable dynamic tradeoff of network resources and control performance. In this paper, we consider three recently proposed aperiodic control algorithms which have the potential to address this problem. By showing how these controllers can be implemented over the IEEE 802.15.4 standard, a practical wireless control system architecture with guaranteed closed-loop performance is detailed. Event-based predictive and hybrid sensor and actuator communication schemes are compared with respect to their capabilities and implementation complexity. A two double-tank laboratory experimental setup, mimicking some typical industrial process control loops, is used to demonstrate the applicability of the proposed approach. Experimental results show how the sensor communication adapts to the changing demands of the control loops and the network resources, allowing for lower energy consumption and efficient bandwidth utilization.

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141 Citations


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