Efficient XML Interchange in factory automation systems

2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

Deventer

et al. 2016

Self Cite

Abstract-Various forms of cloud computing principles and technologies are becoming important recently. This paper addresses cloud computing for automation and control applications. It's argued that the open Internet cloud idea has such limitations that its not appropriate for automation.Since automation is physically and geographically local, it is inevitable to introduce the concept of local automation clouds. It's here proposed that local automation clouds should be self contained an be able to execute the intended automation functionalities without any external resources. Thus providing a fence at the rim of the local cloud preventing any inbound or outbound communication. Such a local cloud provides possibilities to address key requirements of both todays and future automation solutions. Adding mechanisms for secure inter-cloud administration and data tranfere enables local automation cloud to meet IoT automation system requirements as: 1) Interoperability of a wide range of IoT and legacy devices 2) Automation requirement on latency guarantee/prediction for communication and control computations. 3) Scalability of automation systems enabling very large integrated automation systems 4) Security and related safety of automation systems 5) Ease of application engineering 6) Multi stakeholder integration and operations agility.How these requirements can be met in such a local automation cloud is discussed with references to proposed solutions. The local automation cloud concept is further verified for a compartment climate control application. The control application included an IoT controller, four IoT sensors and actuators, and a physical layer communication gateway. The gateway acted as host for local cloud core functionalities. The climate control application has successfully been implemented using the open source Arrowhead Framework and its supports for design and implementation of self contained local automation clouds.

Section: A Real Timementioning

confidence: 99%

“…The trade-off between communication latency and compression computational time can be found in [17]. Semantics interoperability is still an open field of research [35], [36].…”

Section: Interoperabilitymentioning

confidence: 99%

Enabling IoT automation using local clouds

Delsing

2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

Deventer

et al. 2016

Self Cite

“…The role of the proxy is to translate binary EXI encoding to textbased XML and vise versa. More details on the opportunities and challenges of using EXI in industrial environment are presented in [32].…”

Section: A Web Servicesmentioning

confidence: 99%

Integration of Wireless Sensor and Actuator Nodes With IT Infrastructure Using Service-Oriented Architecture

Kyusakov

Delsing

et al. 2013

IEEE Trans. Ind. Inf.

Self Cite

107

Abstract-A large number of potential applications for Wireless Sensor and Actuator Networks (WSAN) have yet to be embraced by industry despite high interest amongst academic researchers. This is due to various factors such as unpredictable costs related to development, deployment and maintenance of WSAN, especially when integration with existing IT infrastructure and legacy systems is needed. Service-Oriented Architecture (SOA) is seen as a promising technique to bridge the gap between sensor nodes and enterprise applications such as factory monitoring, control and tracking systems where sensor data is used. To date, research efforts have focused on middleware software systems located in gateway devices that implement standard service technology, such as Devices Profile for Web Services (DPWS), for interacting with the sensor network. This paper takes a different approach -deploying interoperable Simple Object Access Protocol (SOAP)-based web services directly on the nodes and not using gateways. This strategy provides for easy integration with legacy IT systems and supports heterogeneity at the lowest level. Two-fold analysis of the related overhead, which is the main challenge of this solution, is performed; Quantification of resource consumption as well as techniques to mitigate it are presented, along with latency measurements showing the impact of different parts of the system on system performance. A proof-of-concept application using Mulle -a resource-constrained sensor platform -is also presented.

“…The current version of the Mulle's communication stack is based on the IEEE 802.15.4 standard, and uses IPv6 and RPL over 6LoWPAN. Data is normally transmitted using SenML encoded using XML (with optional EXI-compression by the EXIP parser [25]) over CoAP. Figure 3 shows the Mulle's communication stack.…”

Section: Internet Of Things Networking Stackmentioning

confidence: 99%

A feasibility study of SOA-enabled networked rock bolts

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

Pereira

Mäkitaavola

et al. 2014

Self Cite

Abstract-The use of rock bolts in the mining industry is a widely used approach for increasing mine stability. However, when compared to the automation industry, where the use of sensors and real-time monitoring of processes have evolved rapidly, the use rock bolts have not changed a lot during the last 100 years. What is missing are technologies for keeping installed rock bolts under real-time and online monitoring. One problem is that rock bolts can become damaged by seismic activities or movements within the rock, and thus lose their load bearing capacity. If that happens, the outer shell of a tunnel's walls or ceiling can collapse, with disaster as a result. Therefore, there is a clear need for online and real-time monitoring solutions for strain and thereby stress, as well as seismic activity.In this paper, the current state of art in research around intelligent rock bolts is presented. An intelligent rock bolt is the combination of a traditional rock bolt with an Internet of Things device, i.e. a rock bolt with embedded sensors, actuators, processing capabilities and wireless communication. In the proposed architecture, every rock bolt has its own IPv6 address and can establish a wireless mesh network in an ad-hoc manner. By measuring strain and seismic activity and exposing the sensors in the form of services, large gains in terms of safety and efficiently can be achieved. A number of mining related activities such as stress on the rock bolt can be detected, falling rocks and the presence of mobile machinery can be observed. Since the network is based on standard communication protocols such as IPv6, it is vital to add security mechanisms to prevent eavesdropping and tampering of data traffic.By utilizing the real-time monitoring capabilities of a network of Internet-connected intelligent rock bolt, it is possible to drastically improve monitoring of mining activities and thereby providing workers with a safer working environment.