Records with Subject: Information Management
Showing records 1 to 25 of 340. [First] Page: 1 2 3 4 5 Last
WT-YOLOX: An Efficient Detection Algorithm for Wind Turbine Blade Damage Based on YOLOX
Yuan Yao, Guozhong Wang, Jinhui Fan
May 23, 2023 (v1)
Keywords: cascaded feature fusion, focal loss, object detection, RepVGG, YOLO
Wind turbine blades will suffer various surface damages due to their operating environment and high-speed rotation. Accurate identification in the early stage of damage formation is crucial. The damage detection of wind turbine blades is a primarily manual operation, which has problems such as high cost, low efficiency, intense subjectivity, and high risk. The rise of deep learning provides a new method for detecting wind turbine blade damage. However, in detecting wind turbine blade damage in general network models, there will be an insufficient fusion of multiscale small target features. This paper proposes a lightweight cascaded feature fusion neural network model based on YOLOX. Firstly, the lightweight area of the backbone feature extraction network concerning the RepVGG network structure is enhanced, improving the model’s inference speed. Second, a cascaded feature fusion module is designed to cascade and interactively fuse multilevel features to enhance the small target area fea... [more]
Integrating Internet-of-Things-Based Houses into Demand Response Programs in Smart Grid
Walied Alharbi
May 23, 2023 (v1)
Keywords: flexibility, Internet of Things, load management, mathematical model
This paper presents a novel framework that mathematically and optimally quantifies demand response (DR) provisions, considering the power availability of Internet of Things (IoT)-based house load management for the provision of flexibility in the smart grid. The proposed framework first models house loads using IoT windows and occupant behavior, and then integrates IoT-based house loads into DR programs based on a novel mathematical optimization model to provide the optimal power flexibility considering the penetration of IoT-based houses in distribution systems. Numerical results that consider a 33-bus distribution system are reported and discussed to demonstrate the effectiveness of flexibility provisions, from integrating IoT-based houses into DR programs, on peak load reduction and system capacity enhancement.
Linearly Polarized Antenna Boosters versus Circularly Polarized Microstrip Patch Antennas for GPS Reception in IoT Devices
Jaime Gui, José L. Leiva, Aurora Andújar, Jaap Groot, Joan L. Pijoan, Jaume Anguera
May 2, 2023 (v1)
Keywords: antenna, antenna boosters, GPS, IoT, polarization, TTFF (time to first fix)
GPS has become an attractive feature for geolocalization enabling asset tracking IoT devices. GPS satellite antennas radiate RHCP (right-hand circularly polarized) electromagnetic waves; thus, the typical antenna at the receiver is also RHCP. However, when the orientation of the receiving device is random, linear polarization antennas operate better in terms of TTFF (time to first fix). Through field measurements (urban and field) and considering different positions of the device in a vehicle, an RHCP microstrip patch antenna and a linear non-resonant antenna element called an antenna booster were compared. TTFF averaged for several positions was 7 s better for the linearly polarized antenna booster than for the microstrip RHCP patch antenna. The results demonstrate that the behavior of the linear polarization antenna booster technology is more robust in terms of TTFF to the arbitrary position of the IoT device while keeping a small size and simplicity.sdf
Impact of a HVDC Link on the Reliability of the Bulk Nigerian Transmission Network
Omowumi Grace Olasunkanmi, Waliu O. Apena, Andrew R. Barron, Alvin Orbaek White, Grazia Todeschini
May 2, 2023 (v1)
Keywords: load-point indices, reliability, transmission network, VSC-HVDC
Regular and reliable access to energy is critical to the foundations of a stable and growing economy. The Nigerian transmission network generates more electricity than is consumed but, due to unpredicted outages, customers are often left without electrical power for several hours during the year. This paper aims to assess the present reliability indices of the Nigerian transmission network, and to determine the impact of HVDCs on system reliability. In the first part of this paper, the reliability of the Nigerian transmission system is quantified by building a model in DIgSILENT PowerFactory and carrying out a reliability study based on data provided by the Nigerian transmission-system operator. Both network indices and load-point indices are evaluated, and the weakest points in the network are identified. In the second part of the paper, an HVDC model is built and integrated into the existing network at the locations identified by the reliability study. A comparative study using two d... [more]
Diversification of Equipment in the IT Infrastructure of Enterprises in Central Pomerania in Poland
Jerzy Korczak, Dorota Janiszewska
April 28, 2023 (v1)
Keywords: Central Pomerania in Poland, enterprises, IT infrastructure
The IT infrastructure is the basis for the efficient and effective flow of logistic information between the individual elements of the logistical system. Therefore, the aim of this research was to assess the diversification of equipment in IT infrastructure in enterprises in Central Pomerania in Poland. The research was conducted in 2021 using the CAWI method. The research covers five categories of IT infrastructure: IT equipment, software/applications, means of communication, devices cooperating in the smart internet network and other devices. The study was conducted on a sample of 353 enterprises located in the area of Central Pomerania. The results of the conducted research indicate that the degree of use of the IT infrastructure in the analyzed enterprises varies. Taking into account the size of the enterprise, IT infrastructure is much more often used by large and medium enterprises than by small and micro enterprises. In addition, the results also show the diversification of the... [more]
Smart Contracts-Based Demand Response Bidding Mechanism to Enhance the Load Aggregator Model in Thailand
Anchisa Pinyo, Athikom Bangviwat
April 28, 2023 (v1)
Keywords: bidding, blockchain, demand response, load aggregator, smart contract, smart grids
In 2022, Thailand’s Demand Response (DR) business model was shifting from the Traditional Utility (TU) model to the Load Aggregator (LA) model in accordance with Thailand’s smart grid master plan. This research studied the current demand response model and mechanism to draw possible gaps in operations. This research deals with the data system owned by the individual load aggregator. The load aggregators collect meter data and evaluate demand adaptations before sending the results to claim compensation on behalf of their customers. This approach lacks transparency and facilitates distortion of the facts. Hence, this research introduces the data execution by smart contracts and data records on the blockchain that enhance transparent data sharing among multiple parties and maintain data integrity. Moreover, the proposed bidding algorithm allows customers to offer an expected price under the maximum incentive payment determined by the avoided costs of running the peaking power plants. Henc... [more]
Post-Consumer Plastic Waste Management: From Collection and Sortation to Mechanical Recycling
Katarzyna Bernat
April 28, 2023 (v1)
Keywords: advanced processes, automatization, collection systems, plastic packaging, plastic waste management, recyclables, sorting solutions, types of polymers
Challenges associated with plastic waste management range from littering to high collection costs to low recycling rates. Effective collection of plastics is obviously an important step in the management of plastic waste and has an impact on recycling rates. For this reason, several countries have transformed their collection systems in recent decades. Collecting more plastic packaging comes at a cost, as the feedstock for the sorting process becomes more complex and leads to cross-contamination within the sorted fractions. Therefore, a balance must be obtained between some elements, such as the design of packaging, collection and recycling rates, and finally, the quality of fractions that have been sorted. Further investment to improve pretreatment, sorting, and recycling technologies and simpler recyclable packaging designs are, therefore, key to further increasing plastic recycling rates. It is essential to possess more data, especially on the type of containers and plastics, and ex... [more]
Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions
Mohammad Mansour, Amal Gamal, Ahmed I. Ahmed, Lobna A. Said, Abdelmoniem Elbaz, Norbert Herencsar, Ahmed Soltan
April 28, 2023 (v1)
Keywords: application layer protocols, communication protocols, hybrid IoT protocols, Internet of Things, IoT challenges, IoT comparison, IoT hardware, network simulation tools
The Internet of Things (IoT) is a global network of interconnected computing, sensing, and networking devices that can exchange data and information via various network protocols. It can connect numerous smart devices thanks to recent advances in wired, wireless, and hybrid technologies. Lightweight IoT protocols can compensate for IoT devices with restricted hardware characteristics in terms of storage, Central Processing Unit (CPU), energy, etc. Hence, it is critical to identify the optimal communication protocol for system architects. This necessitates an evaluation of next-generation networks with improved characteristics for connectivity. This paper highlights significant wireless and wired IoT technologies and their applications, offering a new categorization for conventional IoT network protocols. It provides an in-depth analysis of IoT communication protocols with detailed technical information about their stacks, limitations, and applications. The study further compares indust... [more]
Increasing the Sensitivity of the Method of Early Detection of Cyber-Attacks in Telecommunication Networks Based on Traffic Analysis by Extreme Filtering
Andrey Privalov, Vera Lukicheva, Igor Kotenko, Igor Saenko
April 26, 2023 (v1)
Keywords: detection of cyberattacks, extreme filtering, fuzzy logic algorithm, traffic decomposition
The paper proposes a method for improving the accuracy of early detection of cyber attacks with a small impact, in which the mathematical expectation is a fraction of the total, and the pulse repetition period is quite long. Early detection of attacks against telecommunication networks is based on traffic analysis using extreme filtering. The algorithm of fuzzy logic for deciding on the results of extreme filtering is suggested. The results of an experimental evaluation of the proposed method are presented. They demonstrate that the method is sensitive even with minor effects. In order to eliminate the redundancy of the analyzed parameters, it is enough to use the standard deviation and the correlation interval for decision making.
A Survey on Enhanced Smart Micro-Grid Management System with Modern Wireless Technology Contribution
Lilia Tightiz, Hyosik Yang, Mohammad Jalil Piran
April 25, 2023 (v1)
Keywords: 5G, energy management system, IEC 61850, LoRa, micro-grid, multi-agent system
Micro-grid (MG) deployment has dramatically become more popular with the high penetration of renewable energy resources (RER). This trend brings with it the merits of independent power grid clean energy resource-based systems, and simultaneously the demerits of an unstable grid due to the intermittent nature of RER. Control and monitoring of MG through robust and ubiquitous communication system infrastructure is the solution to overcoming this intermittency. There has been an increasing focus in recent years on using wireless communication technologies as a prominent candidate in holistic proposal for the micro-grid management system (MGMS). The MGMS has been developed using the multi-agent system (MAS), multi-micro-grid (multi-MG), Internet of things (IoT) integration, and cloud concepts requiring new communication specifications, which can be satisfied by next-generation wireless technologies. There is, however, a lack of comprehensive corresponding investigation into management leve... [more]
Phasor Estimation of Transient Electrical Signals Composed of Harmonics and Interharmonics
Jon Vazquez, Jose Felix Miñambres, Miguel Angel Zorrozua, Jorge Lázaro
April 24, 2023 (v1)
Keywords: decaying dc offset, digital filter, fault localization, fault signal, harmonics identification, interharmonics identification, noisy signal, signal processing, transient event
Numerical relays have become essential tools for carrying out the protection and surveillance tasks of electrical power systems. These relays implement their functions from the phasors of the electrical network signals, estimated by digital processing using digital filters. Digital filters must meet certain requirements, such as providing a fast and effective response to increasingly complex transient signals made up of components that make the estimation process difficult. In addition to the decreasing exponential (decaying dc offset), harmonics, and signal noise, it must be added that the interharmonic components that in recent years have acquired great relevance, mainly because of the increase in non-linear loads and the extensive use of power electronic systems. The presence of these interharmonic components causes a poor response in most of the filters implemented today. This article presents the design of a new digital filter, C-CharmDF (Cleaned Characteristic Harmonic Digital Fi... [more]
Renewable Energy Sector in Bangladesh: The Current Scenario, Challenges and the Role of IoT in Building a Smart Distribution Grid
Abdul Hasib Siddique, Sumaiya Tasnim, Fahim Shahriyar, Mehedi Hasan, Khalid Rashid
April 24, 2023 (v1)
Keywords: distributed generation, hydro, Internet of Things, Nuclear, Renewable and Sustainable Energy, solar, Wind
Advancement in electricity is the key ingredient that can actively take part in alleviating poverty and drastically improve the socio-economic status of the people of Bangladesh. The incorporation of renewable energy sources would help the country meet the energy requirement as well as contribute positively towards building a sustainable planet. The paper has extensively discussed the potential aspects of renewable energy resources in Bangladesh and how the Internet of Things can facilitate the implementation of intermittent sources. The regulatory and socio-economic aspects of the renewable energy industry have been explored and sustainable solutions will be discussed to fast-track the process of integrating various renewable energy sources in the power grid to meet the energy demand. The paper discusses the challenges associated with the RE integration in Bangladesh’s power mix and tries to mitigate it through the IoT. Besides that, an RE map for Bangladesh along with prospective pow... [more]
Performance of the XMPP and the MQTT Protocols on IEC 61850-Based Micro Grid Communication Architecture
Hyun-Ji Jun, Hyo-Sik Yang
April 24, 2023 (v1)
Keywords: IEC 61850, Internet of Things, micro grid, MQTT, smart grid, XMPP
As micro grids are gradually being deployed in many areas, communication technology is becoming important for collecting data and controlling devices in micro grids. In a micro grid, various devices are distributed and perform their respective functions. These devices exchange information with each other and transmit information to the micro grid management system. This micro grid environment is similar to the IoT environment in which information is exchanged in the presence of a large number of devices. Recent studies have tried to apply various IoT protocols as a communication protocol in the micro grid. However, the data model used in current research is limited in proprietary data mapping. Recently, IEC TC 57 published another IEC 61850 series which maps the IEC 61850 services to XMPP (eXtensible Messaging Presence Protocol), which was the first IoT protocol mapping of IEC 61850. Few research has shown that the mapping of the IEC 61850 data model to the IoT protocol and communicati... [more]
Automated Testbench for Hybrid Machine Learning-Based Worst-Case Energy Consumption Analysis on Batteryless IoT Devices
Thomas Huybrechts, Philippe Reiter, Siegfried Mercelis, Jeroen Famaey, Steven Latré, Peter Hellinckx
April 21, 2023 (v1)
Keywords: automated testbench, batteryless devices, hybrid resource consumption analysis, Internet-of-Things, Machine Learning, Worst-Case Energy Consumption
Batteryless Internet-of-Things (IoT) devices need to schedule tasks on very limited energy budgets from intermittent energy harvesting. Creating an energy-aware scheduler allows the device to schedule tasks in an efficient manner to avoid power loss during execution. To achieve this, we need insight in the Worst-Case Energy Consumption (WCEC) of each schedulable task on the device. Different methodologies exist to determine or approximate the energy consumption. However, these approaches are computationally expensive and infeasible to perform on all type of devices; or are not accurate enough to acquire safe upper bounds. We propose a hybrid methodology that combines machine learning-based prediction on small code sections, called hybrid blocks, with static analysis to combine the predictions to a final upper bound estimation for the WCEC. In this paper, we present our work on an automated testbench for the Code Behaviour Framework (COBRA) that measures and profiles the upper bound ene... [more]
Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal
Paweł Zimroz, Paweł Trybała, Adam Wróblewski, Mateusz Góralczyk, Jarosław Szrek, Agnieszka Wójcik, Radosław Zimroz
April 21, 2023 (v1)
Keywords: acoustic signal processing, Euclidean distance, search and rescue, UAV, underground mine
The possibility of the application of an unmanned aerial vehicle (UAV) in search and rescue activities in a deep underground mine has been investigated. In the presented case study, a UAV is searching for a lost or injured human who is able to call for help but is not able to move or use any communication device. A UAV capturing acoustic data while flying through underground corridors is used. The acoustic signal is very noisy since during the flight the UAV contributes high-energetic emission. The main goal of the paper is to present an automatic signal processing procedure for detection of a specific sound (supposed to contain voice activity) in presence of heavy, time-varying noise from UAV. The proposed acoustic signal processing technique is based on time-frequency representation and Euclidean distance measurement between reference spectrum (UAV noise only) and captured data. As both the UAV and “injured” person were equipped with synchronized microphones during the experiment, va... [more]
A Study of Factors Influencing on Passive and Active Acceptance of Home Energy Management Services with Internet of Things
Chankook Park, Min Jeong
April 20, 2023 (v1)
Keywords: home energy management, Internet of things, technology acceptance
Since awareness of the influence of home energy management services (HEMS) with Internet of things (IoT) has grown, the study on the acceptance of IoT services has been expanded. Previous studies, however, have not paid attention to the acceptance itself, focusing only on factors affecting the acceptance. This study attempts to draw meaningful implications by exploring the relationships between the acceptance and the factors affecting it with distinctions between passive acceptance and active acceptance. This study analyzed the ordinal logistic regression models based on a survey of 909 adults 19 years of age and older in Korea on HEMS with IoT. In addition, we attempt the ordinal forest to increase the reliability of the research results. As a result, this study showed that consumers’ perception of usefulness was noticeably important to enhance active acceptance and that those who had high sensitivity to new technology acceptance showed high active acceptance, and older women had high... [more]
Bats: An Appliance Safety Hazards Factors Detection Algorithm with an Improved Nonintrusive Load Disaggregation Method
Wei Wang, Zilin Wang, Yanru Chen, Min Guo, Zhengyu Chen, Yi Niu, Huangeng Liu, Liangyin Chen
April 20, 2023 (v1)
Keywords: Internet of Things, power supply safety, safety hazard factors detection
In an electrical safe microenvironment, all kinds of electrical appliances can be operated safely to ensure the safety of life and property. The significance of safety hazard factors detection is to detect safety hazards in advance, to remind the administrators to exclude risk, to reduce the unnecessary loss, and to ensure that the electrical operation is healthy and orderly before the occurrence of accidents. In this paper, batteries are selected as the primary research subject of safety detection because batteries are used more and more in the Internet of Things (IOT), and they often cause fire in the process of discharging and charging. The existing algorithms need to be embedded into the specialized sensor for each important electrical appliance. However, they are limited by the actual deployment, so it is extremely difficult to spread widely. According to the opinions above, an improved load disaggregation algorithm based on dictionary learning and sparse coding with optimal dicti... [more]
Sound Localization for Ad-Hoc Microphone Arrays
Muhammad Usman Liaquat, Hafiz Suliman Munawar, Amna Rahman, Zakria Qadir, Abbas Z. Kouzani, M. A. Parvez Mahmud
April 20, 2023 (v1)
Keywords: 3D space, DOA, microphone array, sound localization
Sound localization is a field of signal processing that deals with identifying the origin of a detected sound signal. This involves determining the direction and distance of the source of the sound. Some useful applications of this phenomenon exists in speech enhancement, communication, radars and in the medical field as well. The experimental arrangement requires the use of microphone arrays which record the sound signal. Some methods involve using ad-hoc arrays of microphones because of their demonstrated advantages over other arrays. In this research project, the existing sound localization methods have been explored to analyze the advantages and disadvantages of each method. A novel sound localization routine has been formulated which uses both the direction of arrival (DOA) of the sound signal along with the location estimation in three-dimensional space to precisely locate a sound source. The experimental arrangement consists of four microphones and a single sound source. Previou... [more]
Adaptive Control Structure with Neural Data Processing Applied for Electrical Drive with Elastic Shaft
Marcin Kamiński, Krzysztof Szabat
April 20, 2023 (v1)
Keywords: ADALINE, electrical drive, recurrent neural network, signal filtering, signal processing, speed control, two-mass system
This paper presents issues related to the adaptive control of the drive system with an elastic clutch connecting the main motor and the load machine. Firstly, the problems and the main algorithms often implemented for the mentioned object are analyzed. Then, the control concept based on the RNN (recurrent neural network) for the drive system with the flexible coupling is thoroughly described. For this purpose, an adaptive model inspired by the Elman model is selected, which is related to internal feedback in the neural network. The indicated feature improves the processing of dynamic signals. During the design process, for the selection of constant coefficients of the controller, the PSO (particle swarm optimizer) is applied. Moreover, in order to obtain better dynamic properties and improve work in real conditions, one model based on the ADALINE (adaptive linear neuron) is introduced into the structure. Details of the algorithm used for the weights’ adaptation are presented (including... [more]
Robust Clustering Routing Method for Wireless Sensor Networks Considering the Locust Search Scheme
Alma Rodríguez, Marco Pérez-Cisneros, Julio C. Rosas-Caro, Carolina Del-Valle-Soto, Jorge Gálvez, Erik Cuevas
April 20, 2023 (v1)
Keywords: clustering routing protocol, energy-efficiency, locust search algorithm, metaheuristic algorithms, swarm-based algorithms, wireless sensor networks
Multiple applications of sensor devices in the form of a Wireless Sensor Network (WSN), such as those represented by the Internet of Things and monitoring dangerous geographical spaces, have attracted the attention by several scientific communities. Despite their interesting properties, sensors present an adverse characteristic: they manage very limited energy. Under such conditions, saving energy represents one of the most important concepts in designing effective protocols for WSNs. The objective of a protocol is to increase the network lifetime through the reduction of energy consumed by each sensor. In this paper, a robust clustering routing protocol for WSNs is introduced. The scheme uses the Locust Search (LS-II) method to determine the number of cluster heads and to identify the optimal cluster heads. Once the cluster heads are recognized, the other sensor elements are assigned to their nearest corresponding cluster head. Numerical simulations exhibit competitive results and dem... [more]
Software-in-the-Loop Simulation of a Gas-Engine for the Design and Testing of a Wind Turbine Emulator
Alexander Rohr, Clemens Jauch
April 20, 2023 (v1)
Keywords: emulator, engine model, gas engine, signal processing, software in the loop, wind turbine
In order to investigate the grid integration of wind turbines (WT) of various scales and designs, a wind turbine emulator (WTE) is being built in Flensburg within the state-funded project GrinSH. The special feature of this WTE is the use of a large gas engine instead of an electric motor to emulate the behavior of a WT. In order to develop the controls of this innovative WTE and to design the upcoming test runs under safe conditions, a software in the loop model (SILM) was applied. This SILM contained a mathematical model of the wind turbine, mathematical models of the gas engine with an integrated controller, and a model of the generator and frequency converter unit, as well as a preventive modulator of the reference signal (PMRS). The PMRS module converts the reference signal of the emulated WT in such a way that the dynamics of the engine components can be calculated and balanced in advance to enable the required behavior of the entire SILM despite the dynamics of the gas engine. I... [more]
Initial Study into the Possible Use of Digital Sound Processing for the Development of Automatic Longwall Shearer Operation
Piotr Kiljan, Wojciech Moczulski, Krzysztof Kalinowski
April 20, 2023 (v1)
Keywords: coal-rock recognition, fast Fourier transform, signal processing, sound analysis
Competition on the local and global market forces enterprises to implement modern solutions and adapt to technological changes. Applying modern solutions allows an increase in the quality of the product and reduces production costs. The acoustic sensor, as a relatively cheap solution, allows signals to be obtained which, after appropriate processing, can be used to develop an automatic control of the longwall shearer, together with the recognition of the type of shale. This paper presents an introductory research, the goal of which has been to check whether acoustic signals carry useful information on what kind of material−shale or coal−is being cut by the cutting head of a longwall shearer. For this purpose, the fast Fourier transform and short-time Fourier transform functions implemented in MatLab were used. The results of the analysis are presented in the form of three-dimensional graphs and spectrograms. To sum up, the research carried out so far justifies the need for continuation... [more]
On the Design of IoT Security: Analysis of Software Vulnerabilities for Smart Grids
Christos-Minas Mathas, Costas Vassilakis, Nicholas Kolokotronis, Charilaos C. Zarakovitis, Michail-Alexandros Kourtis
April 20, 2023 (v1)
Keywords: Internet of Things, robustness, security, software vulnerabilities
The 5G communication network will underpin a vast number of new and emerging services, paving the way for unprecedented performance and capabilities in mobile networks. In this setting, the Internet of Things (IoT) will proliferate, and IoT devices will be included in many 5G application contexts, including the Smart Grid. Even though 5G technology has been designed by taking security into account, design provisions may be undermined by software-rooted vulnerabilities in IoT devices that allow threat actors to compromise the devices, demote confidentiality, integrity and availability, and even pose risks for the operation of the power grid critical infrastructures. In this paper, we assess the current state of the vulnerabilities in IoT software utilized in smart grid applications from a source code point of view. To that end, we identified and analyzed open-source software that is used in the power grid and the IoT domain that varies in characteristics and functionality, ranging from... [more]
Methodological Foundations for Modeling the Processes of Combining Organic Fuel Generation Systems and Photovoltaic Cells into a Single Energy Technology Complex
Anatoliy Alabugin, Konstantin Osintsev, Sergei Aliukov
April 20, 2023 (v1)
Keywords: approximation of step functions of the jump processes, big data and data science tools, energy transactions, internet of energy, photovoltaic cells, thermoelements in the energy technology complex (ETC)
The needs to reduce the imperfection of theoretical and methodological approaches to value and regulate the processes of applying the methods of transactional energy are substantiated. The concept of combining organizational, economic and mathematical models to improve technical, technological and information methods for the effective integration of renewable and traditional energy facilities has been formulated. This determined the goal of forming a digital platform for machine-to-machine automatic processing of transactions. The creation of the platform contributes to solving a number of research tasks including development of schemes for the use of photo and thermoelements for energy generation in distributed energy and control of electrical and thermodynamic parameters of equipment in sensors of its diagnostics and use in electric drives of actuators of the Industrial Internet of Things. The use of big datа and datа science tools is aimed at achieving a number of practical results.... [more]
An IoT-Based Traceability Platform for Wind Turbines
Jinjing An, Guoping Chen, Zhuo Zou, Yaojie Sun, Ran Liu, Lirong Zheng
April 19, 2023 (v1)
Keywords: Internet of Things, traceability system, wind turbine
In recent years, the application of traceability systems in the food and drug industry has developed rapidly, but it is rarely used for wind turbines. From the aspects of low information transparency and information islands in the supply chain process for wind turbines, a reliable traceability system is essential. However, the existing traceability systems are not suitable to be directly applied to wind turbines. Consequently, according to the characteristics of the wind power industry, a semi-centralized traceability architecture based on Internet of Things technology was proposed. Furthermore, a traceability platform was constructed by analyzing the information collected in each stage related to various user needs of wind turbines, and various applications, including manufacturing management and spare parts management, were developed. Compared with the existing systems, the proposed platform was wind-turbine-oriented, effectively improved traceability efficiency and enterprises’ info... [more]
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