scholarly journals Communication Protocols of an Industrial Internet of Things Environment: A Comparative Study

2019 ◽  
Vol 11 (3) ◽  
pp. 66 ◽  
Author(s):  
Samer Jaloudi

Most industrial and SCADA-like (supervisory control and data acquisition) systems use proprietary communication protocols, and hence interoperability is not fulfilled. However, the MODBUS TCP is an open de facto standard, and is used for some automation and telecontrol systems. It is based on a polling mechanism and follows the synchronous request–response pattern, as opposed to the asynchronous publish–subscribe pattern. In this study, polling-based and event-based protocols are investigated to realize an open and interoperable Industrial Internet of Things (IIoT) environment. Many Internet of Things (IoT) protocols are introduced and compared, and the message queuing telemetry transport (MQTT) is chosen as the event-based, publish–subscribe protocol. The study shows that MODBUS defines an optimized message structure in the application layer, which is dedicated to industrial applications. In addition, it shows that an event-oriented IoT protocol complements the MODBUS TCP but cannot replace it. Therefore, two scenarios are proposed to build the IIoT environment. The first scenario is to consider the MODBUS TCP as an IoT protocol, and build the environment using the MODBUS TCP on a standalone basis. The second scenario is to use MQTT in conjunction with the MODBUS TCP. The first scenario is efficient and complies with most industrial applications where the request–response pattern is needed only. If the publish–subscribe pattern is needed, the MQTT in the second scenario complements the MODBUS TCP and eliminates the need for a gateway; however, MQTT lacks interoperability. To maintain a homogeneous message structure for the entire environment, industrial data are organized using the structure of MODBUS messages, formatted in the UTF-8, and then transferred in the payload of an MQTT publish message. The open and interoperable environment can be used for Internet SCADA, Internet-based monitoring, and industrial control systems.

2011 ◽  
Vol 216 ◽  
pp. 360-363 ◽  
Author(s):  
Jun Wang ◽  
Zhan Mei ◽  
Li Feng Wei

For further development and building a solid foundation of industrial Internet of things, a wireless communication card (WCC) based on UWB used in industrial Internet of Things (IoT) is designed in the paper. The implementations of WCC are proposed and critical problem on software design is solved. It successfully solves the problem of communication with IO card. At the same time, it provides upgrade program form industrial control systems to industrial Internet of Things.


2020 ◽  
Vol 23 (4) ◽  
pp. 386-396
Author(s):  
A. D. Dakhnovich ◽  
D. A. Moskvin ◽  
D. P. Zegzhda

Digital transformation, or Industry 4.0, is already changing manufacturing processes as it brings more automation to standardized Industrial Control Systems (ICS) based systems such as Supervisory Control and Data Acquisition (SCADA) systems. It is performed by the means of cyber-physical systems such as Internet of Things (IoT). For now, these “Things” are communicating in a new network area, where peer-to-peer communications are widely used. Such networks are responsible for real life processes safety. However, such shift also extends a threat vectors and entry points for an adversary inside the industrial segments. In the paper, new cybersecurity challenges on the Industrial Internet of Things network segments are considered as well as known practices to mitigate some of them. As a result, a peer-to-peer smart multipath network routing based on garlic routing is proposed to model secure network communications in IoT field. An approach is aimed to be used on the IoT field to tackle all of the network-scoped cybersecurity challenges.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hanrui Zhang ◽  
Qianmu Li ◽  
Shunmei Meng ◽  
Zhuoran Xu ◽  
Chaoxian Lv

With the rapid development of intelligent manufacturing and Industrial Internet of Things, many industrial control systems have high requirements for the security of the system itself. Failures of industrial control equipment will cause abnormal operation of industrial control equipment and waste of resources. It is very meaningful to detect and identify potential equipment abnormalities and failures in time and implement effective fault tolerance strategies. In the Industrial Internet of Things environment, the instructions and parameters of industrial control equipment often change due to changes in actual requirements. However, it is impractical to customize the learning method for each parameter value. Aiming at the problem, this paper proposes a fault diagnosis model based on ensemble learning and proposes a method of updating voting weights based on dynamic programming to assist decision-making. This method is based on Bagging strategy and combined with dynamic programming voting weight adjustment method to complete fault type prediction. Finally, this paper uses different loads as dynamic conditions; the diagnostic capability of the Bagging-based fault diagnosis integrated model in a dynamically changing industrial control system environment is verified by experiments. The fault diagnosis model of industrial control equipment based on ensemble learning effectively improves the adaptive ability of the model and makes the fault diagnosis framework truly intelligent. The voting weight adjustment method based on dynamic programming further improves the reliability of voting.


2019 ◽  
Vol 252 ◽  
pp. 09003
Author(s):  
Jakub Pizoń ◽  
Grzegorz Kłosowski ◽  
Jerzy Lipski

The following paper presents a key role and potential of Industrial Internet of Things (IIoT) in industrial applications as a solution for monitoring and maintaining manufacturing assets. IIoT is particularly important due to progressing computerisation of hardware resources leading to development of a virtualised model of autonomous real-time production management. Adequately article presents case study of IIoT use in production environment – both methodical and analytic approach is presented.


Author(s):  
Charles Garrocho ◽  
Celio Marcio Soares Ferreira ◽  
Ailton Junior ◽  
Carlos Frederico Cavalcanti ◽  
Ricardo R. Oliveira

Through the Industrial Internet of Things (IIoT), a smart factory has entered the boom period expecting significant investments. In this new environment, Machine-to-Machine (M2M) communication has shown immediate potential in IIoT applications. However, most M2M communication implementations use the centralized model in which it requires a reliable intermediary for transactions between machines. Using smart contracts in M2M communication would allow a decentralized network to be used without the need for a trusted intermediary. In order to provide security, privacy, and decentralization in M2M communication and IIoT processes, a middleware based on a smart contract is proposed. Such a proposal is analyzed at the industrial level and evaluated for impacts against the stringent communication requirements that industrial applications require. Experimental results show that the application of smart contracts offers greater security and privacy than traditional proposals, but time requirements of real-time systems must still be optimized for smart contracts to be applied at the industrial field.


2021 ◽  
Author(s):  
Nurzaman Ahmed ◽  
Mehbub Alam ◽  
Rakesh Matam ◽  
Ferdous Ahmed Barbhuiya ◽  
Mithun Mukherjee

Internet of Things (IoT) with edge computation enhances efficiency, safety, and availability of an industrial automation system. However, there is a continued effort to increase the reliability of the system with minimal downtime. This can be achieved through a modular, re-configurable, and integrable system design approach. In this paper, we propose Pro-Edge, a programmable edge network to reconfigure different services associated with industrial applications and networks. Pro-Edge employs programmable layers at the edge for re-configuring the sensor/actuator network and applications. The lowermost layer allows to reconfigure the communication related parameters and the middle layer consists of a Software-Defined Network (SDN) controller that can dynamically program different modules, handling actuation decisions from the edge. An interfacing protocol between the layers is proposed to provide reliability by considering the optimal configuration parameters among the layers. As a top-layer, a priority forwarding mechanism is designed for SDN core communication in case the sensor and actuator are in different edges. Pro-Edge significantly improves the actuation-latency and is highly energy efficient compared to the existing state-of-the-art.


2021 ◽  
Author(s):  
Nurzaman Ahmed ◽  
Mehbub Alam ◽  
Rakesh Matam ◽  
Ferdous Ahmed Barbhuiya ◽  
Mithun Mukherjee

Internet of Things (IoT) with edge computation enhances efficiency, safety, and availability of an industrial automation system. However, there is a continued effort to increase the reliability of the system with minimal downtime. This can be achieved through a modular, re-configurable, and integrable system design approach. In this paper, we propose Pro-Edge, a programmable edge network to reconfigure different services associated with industrial applications and networks. Pro-Edge employs programmable layers at the edge for re-configuring the sensor/actuator network and applications. The lowermost layer allows to reconfigure the communication related parameters and the middle layer consists of a Software-Defined Network (SDN) controller that can dynamically program different modules, handling actuation decisions from the edge. An interfacing protocol between the layers is proposed to provide reliability by considering the optimal configuration parameters among the layers. As a top-layer, a priority forwarding mechanism is designed for SDN core communication in case the sensor and actuator are in different edges. Pro-Edge significantly improves the actuation-latency and is highly energy efficient compared to the existing state-of-the-art.


2020 ◽  
Author(s):  
Karthik Muthineni

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.


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