Designing High Performance Factory Automation Applications on Top of DDS

Calvo, Isidro; Pérez, Federico; Etxeberria‐Agiriano, Ismael; Albéniz, Oier García de

doi:10.5772/56341

Cited by 8 publications

(6 citation statements)

References 29 publications

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“…XMPP was created for solving heterogeneity problems on IoT applications and DDS for real-time messages [53]. XMPP and DDS are used for high performance applications that require with very strict QoS requirements, such as smart grids [54] or factory automation [55], and they are more complex to use than other alternatives. Finally, AMQP and HTTP were not created for IoT applications, and they use bigger message sizes, requiring more energy consumption and bigger latency than MQTT and CoAP [52].…”

Section: Communication Technologies For Iot Applicationsmentioning

confidence: 99%

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Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings

et al. 2022

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This paper presents a scalable IoT architecture based on the edge–fog–cloud paradigm for monitoring the Indoor Environmental Quality (IEQ) parameters in public buildings. Nowadays, IEQ monitoring systems are becoming important for several reasons: (1) to ensure that temperature and humidity conditions are adequate, improving the comfort and productivity of the occupants; (2) to introduce actions to reduce energy consumption, contributing to achieving the Sustainable Development Goals (SDG); and (3) to guarantee the quality of the air—a key concern due to the COVID-19 worldwide pandemic. Two kinds of nodes compose the proposed architecture; these are the so-called: (1) smart IEQ sensor nodes, responsible for acquiring indoor environmental measures locally, and (2) the IEQ concentrators, responsible for collecting the data from smart sensor nodes distributed along the facilities. The IEQ concentrators are also responsible for configuring the acquisition system locally, logging the acquired local data, analyzing the information, and connecting to cloud applications. The presented architecture has been designed using low-cost open-source hardware and software—specifically, single board computers and microcontrollers such as Raspberry Pis and Arduino boards. WiFi and TCP/IP communication technologies were selected, since they are typically available in corporative buildings, benefiting from already available communication infrastructures. The application layer was implemented with MQTT. A prototype was built and deployed at the Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), using the existing network infrastructure. This prototype allowed for collecting data within different academic scenarios. Finally, a smart sensor node was designed including low-cost sensors to measure temperature, humidity, eCO2, and VOC.

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Section: Communication Technologies For Iot Applicationsmentioning

confidence: 99%

“…Also, it was considered as easy to use in IoT applications. Actually, MQTT is the most common communication choice for building M2M IoT applications [55].…”

Section: Communication Technologiesmentioning

confidence: 99%

Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings

et al. 2022

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“…This time, 100,000 to 160,000 samples of data packets are sent from the publisher side and received on the subscriber side in each iteration. Total time for this communication is noted and throughput is calculated using (4). The experiments are conducted at least 10 times to get more precise results.…”

Section: Experiments For Throughputmentioning

confidence: 99%

“…Although DDS is a very powerful and flexible technology, it may prove to be rather complex to fully comprehend particularly for novice users. This issue was spotted and dealt with in [4]. The authors floated the idea of a software component encapsulating the functionality of commonly used industrial automation controllers like PLCs, IPCs, and Robots which can then be used to create any automation application.…”

Section: Related Workmentioning

confidence: 99%

“…DDS-based middleware deploys many-to-many communication model and offers extensive control over a large spectrum of Quality of Services (QoS) policies [3]. Although DDS is a relatively new middleware specification, it is gaining substantial attention from researchers as a suitable solution in mission critical industrial automation applications [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Performance Evaluation of DDS-Based Middleware over Wireless Channel for Reconfigurable Manufacturing Systems

Almadani

Bajwa

Yang

et al. 2015

International Journal of Distributed Sensor Networks

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Reconfigurable manufacturing systems (RMS) are rapidly becoming choice of production and manufacturing industry due to their quick adaptability to the ever-changing market demands while maintaining the quality and cost of the products. Such systems are usually decentralized in their monitoring and control and consist of heterogeneous components. Therefore, need arises for an interface that can mask the heterogeneity and provide smooth communication among these dissimilar components. Data Distribution Service (DDS) is a data-centric middleware standard based on Real-Time Publish/Subscribe (RTPS) protocol that fulfills the job of such interface in distributed systems. In this work, we present the idea of using DDS-based middleware over commonly used wireless channels like Bluetooth and Industrial WiFi to facilitate data communication in distributed control systems. A simulation model is developed to quantify various performance measures like latency, jitter, and throughput and to examine the suitability of aforementioned wireless channels in distributed monitoring and control environments. The model explores various communication scenarios based upon a practical case study. Obtained results serve as an empirical proof of concept that DDS can ensure reliable and timely data communication in firm real-time distributed control systems using common wireless channels and offer extensive control over various aspects of data transmission through its rich set of QoS policies.

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Computer Aided Manufacturing ( CAM )

2020

Computer Aided Design and Manufacturing

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Designing High Performance Factory Automation Applications on Top of DDS

Cited by 8 publications

References 29 publications

Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings

Scalable IoT Architecture for Monitoring IEQ Conditions in Public and Private Buildings

Performance Evaluation of DDS-Based Middleware over Wireless Channel for Reconfigurable Manufacturing Systems

Computer Aided Manufacturing ( CAM )

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