scholarly journals A Conceptual Framework for Intelligent Power Distribution Transformers

2020 ◽  
Vol 9 (4S2) ◽  
pp. 97-99
Keyword(s):  
Conceptual Framework ◽  
Real Time ◽  
Health Monitoring ◽  
Power Supply ◽  
Power Distribution ◽  
Smart Cities ◽  
Distribution Transformers ◽  
Iot Devices ◽  
Reliable Power Supply ◽  
Continuous Power

With the agenda of developing smart cities there is huge demand for continuous power supply. Power distribution transformers play avital role in providing a reliable power supply. Failure of a transformer will lead to interruptions in power supply. Many parameters lead to transformer failures. Health monitoring of transformer using IoT technology may help take proactive maintenance steps instead of reactive maintenance. When we combine IoT with AI it will more effective and IoT devices will take decision on their own. This paper presents a conceptual framework of this concept which makes the IoT devices in the transformers to make real-time decisions with the use of AI.

scholarly journals Mining Iot Data for Next Generation Smart Cities

2019 ◽  
Vol 8 (6) ◽  
pp. 259-262
Keyword(s):  
Real Time ◽  
Crucial Role ◽  
Data Analytics ◽  
Data Science ◽  
Smart Cities ◽  
Classification Algorithms ◽  
Time Data ◽  
New Era ◽  
Real Time Data ◽  
Iot Devices

Convergence of Cloud, IoT, Networking devices and Data science has ignited a new era of smart cities concept all around us. The backbone of any smart city is the underlying infrastructure involving thousands of IoT devices connected together to work in real time. Data Analytics can play a crucial role in gaining valuable insights into the volumes of data generated by these devices. The objective of this paper is to apply some most commonly used classification algorithms to a real time dataset and compare their performance on IoT data. The performance summary of the algorithms under test is also tabulated

Reliability Analysis of Mofor Injection Substation

2020 ◽  
pp. 91-105
Author(s):  
Oladimeji Joseph Ayamolowo ◽  
Ayodeji Olalekan Salau
Keyword(s):  
Power System ◽  
Power Supply ◽  
System Reliability ◽  
Power Distribution ◽  
Reliability Assessment ◽  
Power Delivery ◽  
Distributed Generators ◽  
System Components ◽  
Availability Index ◽  
Continuous Power

Failure of power system components cause undue interruptions to Power Supply thereby affecting the Overall System reliability. Consequently, Power system reliability assessment is important for high-quality and continuous power delivery to consumers. This chapter presents the reliability assessment of Mofor Injection Substation. The performance evaluation of Mofor Injection Substation is evaluated using various system parameters which regulate the operation of the Substation. Statistical data from January, 2017 to December, 2017 were used to analyze the Substation. The results gave a power availability index (ASAI) of 0.7683796 and 0.768968 for Ekete and Orhuworun substation, respectively, due to the unavailability of strategically placed distributed generators (DGs). The aforementioned reliability result revealed that the power distribution at Mofor Injection Substation can be said to be unreliable, inefficient, undesirable, and Unstable.

Privacy Preserving in Smart Cities Using Various Computing Technologies

2022 ◽  
pp. 47-54
Author(s):  
T. N. Gayathri ◽  
M. Rajasekharababu
Keyword(s):  
Real Time ◽  
Smart Cities ◽  
Privacy Preserving ◽  
Synthetic Dataset ◽  
Smart Environment ◽  
Sensitive Data ◽  
Daily Lives ◽  
Simulation Results ◽  
Iot Devices ◽  
High Possibility

IoT has influenced our daily lives through various applications. The high possibility of sensing and publishing sensitive data in the smart environment leads to significant issues: (1) privacy-preserving and (2) real-time services. Privacy is a complex and a subjective notion as its understanding and perception differ among individuals, hence the observation that current studies lack addressing these challenges. This chapter proposes a new privacy-preserving method for IoT devices in the smart city by leveraging ontology, a data model, at the edge of the network. Based on the simulation results using Protege and Visual Studio on a synthetic dataset, the authors find that the solution provides privacy at real-time while addressing heterogeneity issue so that many IoT devices can afford it. Thus, the proposed solution can be widely used for smart cities.

Hybrid Electro-Optical Cable Continuously Powers Downhole Coiled Tubing Telemetry and Enables Time and Carbon Footprint Reductions During Extensive Cleanout Interventions

2021 ◽  
Author(s):  
Azwan Hadi Keong ◽  
Jesus Campos ◽  
Andrei Casali ◽  
Anders Hansen ◽  
Sindre Vingen ◽  
...  
Keyword(s):  
Real Time ◽  
Carbon Footprint ◽  
Measurement System ◽  
Power Supply ◽  
Operating Time ◽  
The Real ◽  
Coiled Tubing ◽  
Optical Cable ◽  
Downhole Tool ◽  
Continuous Power

Abstract On the Norwegian continental shelf (NCS), coiled tubing (CT) cleanout requires small bites and frequent wiper trips to the surface due to potential sand bedding in a large and deviated completion. A real-time CT downhole measurement system is used to optimize the operation, following a dynamic workflow. Conventionally, the system is powered by downhole lithium battery, which limits CT downhole operating time. A continuous surface-powered system was needed to promote further optimization for such operation. A new hybrid electro-optical cable was introduced to enable continuous power supply from surface to the real-time downhole tool sensors. The system consists of a surface power module that sends power through a layer of low-DC-resistance conductors and optical fibers that enable data telemetry. Conventionally, only three to four trips can be completed before replacement of the downhole battery is required. Battery replacement can take up to 8 hours due to the complexity of that offshore environment. With the continuous power supply, the CT cleanout operation can continue for days without interruption of data from the downhole tool sensors. A three-well CT cleanout campaign in the NCS demonstrated the benefits of this new real-time downhole measurement system by using accurate downhole weight and torque readings to control the penetration through scale and avoid motor stalls. Sections of scale bridges were identified during the cleanout by monitoring fluctuations of downhole torque of the mill. The monitoring allows CT operators to control penetration rate and bite length during the cleanout. When the milled debris are swept, downhole weight is used to detect early signs of solids plugging around the mill. Downhole pressures complement surveillance of the sweeping of solids to the surface by giving a qualitative measurement of solids loading through conversion of the real-time bottomhole pressure reading into equivalent circulating density with changing CT depth. The process of optimizing bite length and sweeping speed is repeated without interruption thanks to continuous power supply from the surface, eventually leading to time reduction. In one of the wells, downhole tools uninterruptedly acquired data for 10 days straight. The CT managed to clean out a total of 40 908 kg of a mixture of scale and sand, with an estimated average time reduction of 25% when compared to CT cleanout without real-time downhole data. Delivery of continuous high-voltage power to downhole tools not only enables reduction in operating time, it also paves the way for extending the capabilities of CT interventions by enabling the operation of more electrically activated application tools. It allows combining multiple work scopes in a single CT run, which reduces operating cost and provides greater operational flexibility. Finally, eliminating the dependency on lithium batteries reduces the carbon footprint for a more sustainable operation.

scholarly journals A Novel Framework of Health Monitoring Systems

2021 ◽  
Vol 6 (1) ◽  
pp. 1-14
Author(s):  
Sonam Gupta ◽  
Lipika Goel ◽  
Abhay Kumar Agarwal
Keyword(s):  
Real Time ◽  
Health Monitoring ◽  
The Body ◽  
Healthcare Data ◽  
Quality Of Patient Care ◽  
Health Monitoring Systems ◽  
Iot Devices ◽  
Rate Sensor ◽  
Cloud Servers

IoT plays an important role in the healthcare domain for improving the quality of patient care. To analyze the patients' healthcare data, a real-time health-monitoring system is required. The proposed framework in this work is cable of such monitoring and sending alerts on critical circumstances. In this framework, the use of IoT devices makes it possible. This is very helpful in taking care of especially old wards and children in the absence or their caretakers. The function of alerting the caretakers and to inform hospital in critical condition makes this system one of its kind. Readings of patient pulse rates are taken from the pulse rate sensor and the body temperature is measured by MAX30205, a temperature sensor. The data is collected through sensors and sent over the cloud servers. Linear regression is used for further analysis and prediction of pulse and temperature trend lines. Corresponding health repots will be sent to the nearby hospitals and registered mobile numbers. The framework is validated with real-time patient data, and prediction is made regarding the trends.

scholarly journals Detecting security attacks in cyber-physical systems: a comparison of Mule and WSO2 intelligent IoT architectures

2021 ◽  
Vol 7 ◽  
pp. e787
Author(s):  
José Roldán-Gómez ◽  
Juan Boubeta-Puig ◽  
Gabriela Pachacama-Castillo ◽  
Guadalupe Ortiz ◽  
Jose Luis Martínez
Keyword(s):  
Real Time ◽  
Smart Cities ◽  
Cyber Physical Systems ◽  
Security Attacks ◽  
Physical Systems ◽  
The Real ◽  
Real Time Detection ◽  
Iot Devices ◽  
Definition Of ◽  
The Internet Of Things

The Internet of Things (IoT) paradigm keeps growing, and many different IoT devices, such as smartphones and smart appliances, are extensively used in smart industries and smart cities. The benefits of this paradigm are obvious, but these IoT environments have brought with them new challenges, such as detecting and combating cybersecurity attacks against cyber-physical systems. This paper addresses the real-time detection of security attacks in these IoT systems through the combined used of Machine Learning (ML) techniques and Complex Event Processing (CEP). In this regard, in the past we proposed an intelligent architecture that integrates ML with CEP, and which permits the definition of event patterns for the real-time detection of not only specific IoT security attacks, but also novel attacks that have not previously been defined. Our current concern, and the main objective of this paper, is to ensure that the architecture is not necessarily linked to specific vendor technologies and that it can be implemented with other vendor technologies while maintaining its correct functionality. We also set out to evaluate and compare the performance and benefits of alternative implementations. This is why the proposed architecture has been implemented by using technologies from different vendors: firstly, the Mule Enterprise Service Bus (ESB) together with the Esper CEP engine; and secondly, the WSO2 ESB with the Siddhi CEP engine. Both implementations have been tested in terms of performance and stress, and they are compared and discussed in this paper. The results obtained demonstrate that both implementations are suitable and effective, but also that there are notable differences between them: the Mule-based architecture is faster when the architecture makes use of two message broker topics and compares different types of events, while the WSO2-based one is faster when there is a single topic and one event type, and the system has a heavy workload.

Research on Spacecrafts Intelligent Power Distribution Technology

2012 ◽  
Vol 182-183 ◽  
pp. 436-439
Author(s):  
Kai Cui ◽  
Zhong Bo Dong ◽  
Bo Li
Keyword(s):  
Real Time ◽  
Power Supply ◽  
Power Distribution ◽  
Distribution System ◽  
Power Supply System ◽  
Supply System ◽  
Power Distribution System ◽  
Higher Power ◽  
Software And Hardware

The development of all kinds of spacecrafts is much smaller and more intelligent, integration increased constantly, one satellite can accomplish more and more expectant missions by using plenty of loads. As a result, higher power, higher reliability and much smarter power distribution system is needed to satisfy the growing quantity of loads. This paper presents the power supply system which characterized by loads observation real time, software and hardware combinational over current protection, bus communication with on board computer, the system has been validated in project and the conclusion has been proved accuracy and reliability.

scholarly journals Mobility Support 5G Architecture with Real-Time Routing for Sustainable Smart Cities

2021 ◽  
Vol 13 (16) ◽  
pp. 9092
Author(s):  
Amjad Rehman ◽  
Khalid Haseeb ◽  
Tanzila Saba ◽  
Jaime Lloret ◽  
Zara Ahmed
Keyword(s):  
Real Time ◽  
Mobile Networks ◽  
Data Privacy ◽  
Smart Cities ◽  
Mobile Sink ◽  
Public Healthcare ◽  
Daily Routine ◽  
Mobility Support ◽  
5G Communication ◽  
Iot Devices

The Internet of Things (IoT) is an emerging technology and provides connectivity among physical objects with the support of 5G communication. In recent decades, there have been a lot of applications based on IoT technology for the sustainability of smart cities, such as farming, e-healthcare, education, smart homes, weather monitoring, etc. These applications communicate in a collaborative manner between embedded IoT devices and systematize daily routine tasks. In the literature, many solutions facilitate remote users to gather the observed data by accessing the stored information on the cloud network and lead to smart systems. However, most of the solutions raise significant research challenges regarding information sharing in mobile IoT networks and must be able to stabilize the performance of smart operations in terms of security and intelligence. Many solutions are based on 5G communication to support high user mobility and increase the connectivity among a huge number of IoT devices. However, such approaches lack user and data privacy against anonymous threats and incur resource costs. In this paper, we present a mobility support 5G architecture with real-time routing for sustainable smart cities that aims to decrease the loss of data against network disconnectivity and increase the reliability for 5G-based public healthcare networks. The proposed architecture firstly establishes a mutual relationship among the nodes and mobile sink with shared secret information and lightweight processing. Secondly, multi-secured levels are proposed to protect the interaction with smart transmission systems by increasing the trust threshold over the insecure channels. The conducted experiments are analyzed, and it is concluded that their performance significantly increases the information sustainability for mobile networks in terms of security and routing.

Thermal Manufacturing Process Control by Lumped Mimo and Distributed-Parameter Methods

1995 ◽  
Vol 117 (4) ◽  
pp. 625-632 ◽  
Author(s):  
C. C. Doumanidis
Keyword(s):  
Real Time ◽  
Power Distribution ◽  
Thermal Characteristics ◽  
Thermal Control ◽  
Distributed Parameter ◽  
Material Structure ◽  
Manufacturing Process Control ◽  
Part Surface ◽  
Regulation Strategies ◽  
Continuous Power

A variety of geometric, material structure, and stress/distortion attributes are needed to characterize the quality of thermally manufactured products. Because of in-process sensing difficulties and transportation lags, these features must be regulated in real time through appropriate thermal outputs, measured by non-contact infrared pyrometry. In thermal processes with a localized, sequentially moving heat source, the necessary heat input distribution on the part surface is supplied by an innovative timeshared or scanned torch modulation, in a raster or vector pattern. A unified lumped multivariable and a distributed-parameter quasilinear modeling formulation provide a design methodology and real-time reference for the development of finite- or infinite-state adaptive thermal control systems. These controllers modulate the power and motion of a single torch, supplying distinct concentrated heat inputs or a continuous power distribution on the part surface, so as to obtain the specified thermal characteristics or the entire temperature field. These regulation strategies are computationally tested and implemented experimentally in arc welding, but their applicability can be extended to a variety of thermal manufacturing processes.

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