scholarly journals Smart Industrial IoT Monitoring and Control System Based on UAV and Cloud Computing Applied to a Concrete Plant

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3316 ◽  
Author(s):  
Marouane Salhaoui ◽  
Antonio Guerrero-González ◽  
Mounir Arioua ◽  
Francisco J. Ortiz ◽  
Ahmed El Oualkadi ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Fog Computing ◽  
Cloud Services ◽  
Industrial Control System ◽  
Monitoring And Control ◽  
Industrial Control ◽  
Monitoring And Control System ◽  
Industrial Iot ◽  
And Control

Unmanned aerial vehicles (UAVs) are now considered one of the best remote sensing techniques for gathering data over large areas. They are now being used in the industry sector as sensing tools for proactively solving or preventing many issues, besides quantifying production and helping to make decisions. UAVs are a highly consistent technological platform for efficient and cost-effective data collection and event monitoring. The industrial Internet of things (IIoT) sends data from systems that monitor and control the physical world to data processing systems that cloud computing has shown to be important tools for meeting processing requirements. In fog computing, the IoT gateway links different objects to the internet. It can operate as a joint interface for different networks and support different communication protocols. A great deal of effort has been put into developing UAVs and multi-UAV systems. This paper introduces a smart IIoT monitoring and control system based on an unmanned aerial vehicle that uses cloud computing services and exploits fog computing as the bridge between IIoT layers. Its novelty lies in the fact that the UAV is automatically integrated into an industrial control system through an IoT gateway platform, while UAV photos are systematically and instantly computed and analyzed in the cloud. Visual supervision of the plant by drones and cloud services is integrated in real-time into the control loop of the industrial control system. As a proof of concept, the platform was used in a case study in an industrial concrete plant. The results obtained clearly illustrate the feasibility of the proposed platform in providing a reliable and efficient system for UAV remote control to improve product quality and reduce waste. For this, we studied the communication latency between the different IIoT layers in different IoT gateways.

scholarly journals Analyzing the Impact of Cybersecurity on Monitoring and Control Systems in the Energy Sector

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 218
Author(s):  
Mohammed Alghassab
Keyword(s):  
Control System ◽  
Control Systems ◽  
Cyber Security ◽  
Energy Sector ◽  
Industrial Control System ◽  
Monitoring And Control ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Monitoring And Control Systems ◽  
And Control

Monitoring and control systems in the energy sector are specialized information structures that are not governed by the same information technology standards as the rest of the world’s information systems. Such industrial control systems are also used to handle important infrastructures, including smart grids, oil and gas facilities, nuclear power plants, water management systems, and so on. Industry equipment is handled by systems connected to the internet, either via wireless or cable connectivity, in the present digital age. Further, the system must work without fail, with the system’s availability rate being of paramount importance. Furthermore, to certify that the system is not subject to a cyber-attack, the entire system must be safeguarded against cyber security vulnerabilities, threats, and hazards. In addition, the article looks at and evaluates cyber security evaluations for industrial control systems, as well as their possible impact on the accessibility of industrial control system operations in the energy sector. This research work discovers that the hesitant fuzzy-based method of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an operational procedure for estimating industrial control system cyber security assessments by understanding the numerous characteristics and their impacts on cyber security industrial control systems. The author evaluated the outputs of six distinct projects to determine the quality of the outcomes and their sensitivity. According to the results of the robustness analysis, alternative 1 shows the utmost effective cybersecurity project for the industrial control system. This research work will be a conclusive reference for highly secure and managed monitoring and control systems.

New Remote Monitoring and Control System Architectures Based on Cloud Computing

2012 ◽  
Vol 579 ◽  
pp. 312-329 ◽  
Author(s):  
Jui Yu Cheng ◽  
Min Hsiung Hung ◽  
Shih Sung Lin ◽  
Fan Tien Cheng
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Remote Monitoring ◽  
Remaining Useful Life ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Power Monitoring ◽  
Equipment Monitoring ◽  
Remote Monitoring And Control ◽  
And Control

In recent years, cloud computing has become a new trend of Internet applications and can potentially bring benefits and new business models for various industries and applications. In this paper, we first review two traditional Internet-based remote monitoring and control (RMC) architectures, i.e. AVMS (Automatic Virtual Metrology System) for equipment monitoring and ZDPMCS (ZigBee-based Distributed Power Monitoring and Control System) for power monitoring. Then, their corresponding new architectures based on cloud computing are developed. Specifically, a cloud-computing-based intelligent equipment monitoring architecture (CCIEMA) is proposed. The CCIEMA mainly consists of three parts: cloud side-providing various equipment monitoring related cloud services, equipment side-containing several equipment managers for monitoring and controlling equipment, and client side-including various Web-based GUIs for users to interact with the system. Based on the proposed CCIEMA, various prediction models can be created on the cloud and then downloaded to the equipment manager for performing yield rate prediction, machining precision conjecture, and remaining useful life prediction. By the same approach, we also propose a new power monitoring and control architecture based on cloud computing and ZigBee, called CZPMCA, and show its major operational scenarios. The potential benifits of the proposed CCIEMA and CZPMCA are described as well, compared to the tradiotional RMC architectures. The research results can be useful references for constructing various RMC systems using cloud computing.

DEVELOPMENT OF COMPUTERIZED MONITORING AND CONTROL SYSTEM OF THE MOBILE ROBOT’S POSITIONING ON LARGE FERROMAGNETIC SURFACES BASED ON INTELLIGENT TECHNIQUES. AUTOMATION OF THE MONITORING AND CONTROL PROCESSES OF MOBILE ROBOT FOR PROCESSING OF LARGE INCLINED SURFACES

2019 ◽  
pp. 41-48
Author(s):  
Yan Guojun ◽  
Oleksiy Kozlov ◽  
Oleksandr Gerasin ◽  
Galyna Kondratenko
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Functional Structure ◽  
Monitoring And Control ◽  
Technological Parameters ◽  
Monitoring And Control System ◽  
Inclined Surfaces ◽  
Computerized Monitoring ◽  
And Control ◽  
Tracked Mobile Robot

The article renders the special features of the design of a tracked mobile robot (MR) for moving over inclined ferromagnetic surfaces while performing specified technological operations. There is conducted a synthesis of the functional structure and selective technological parameters (such as control coordinates) of the computerized monitoring and control system (CMCS) intended for use with this MR. Application of the CMCS with the proposed functional structure allows substantially increasing the accuracy of the MR monitoring and control, which in turn provides for a considerable enhancement in the quality and economic efficiency of the operations on processing of large ferromagnetic surfaces.

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