کنترل بازخورد بی سیم با طول بسته متغیر برای اینترنت اشیا صنعتی
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 5 - تعداد صفحات فایل doc فارسی: 18
این مقاله یک سیستم کنترل شبکه ای بی سیم (WNCS) را در نظر می گیرد، که یک کنترل کننده بسته های حامل اطلاعات کنترل را از طریق یک کانال بی سیم به یک فعال کننده می فرستد تا فرآیند فیزیکی را برای کاربردها و برنامه های کنترل صنعتی کنترل کند. در اکثر کارهای موجود در زمینه سیستم کنترل شبکه ای بی سیم (WNCS)، طول بسته برای انتقال ثابت است. با این حال، باتوجه به نظریه کدگذاری کانال، اگر یک پیام به صورت یک رمز طولانی تر کدگذاری شود، قابلیت اطمینان آن به ازای تاخیر طولانی تر بهبود خواهد یافت. تاخیر و قابلیت اطمینان بر عملکرد کنترل خیلی تاثیر دارند. این طور مبادله اساسی تاخیر- قابلیت اطمینان به ندرت در سیستم کنترل شبکه ای بی سیم (WNCS) درنظر گرفته می شود. در این مقاله، ما یک سیستم کنترل شبکه ای بی سیم (WNCS)را پیشنهاد می دهیم، که در آن کنترل کننده به طور تطبیقی طول بسته را برای کنترل براساس وضعیت فعلی فرایند فیزیکی تغییر می دهد. ما یک مسئله تصمیم گیری را فرمول بندی کرده و سیاست بهینه انتقال بسته با طول متغیر را برای حداقل کردن میانگین هزینه طولانی مدت سیستم های کنترل شبکه ای بی سیم (WNCS) پیدا می کنیم. ما برحسب قابلیت های اطمینان انتقال با طول های بسته متفاوت و پارامتر سیستم کنترل، یک شرط لازم و کافی برای وجود سیاست بهینه به دست می آوریم.
واژگان کلیدی: کنترل بی سیم | عمر اطلاعات | سیستم های فیزیکی سایبری | تحلیل کارایی | اینترنت اشیا صنعتی.
|مقاله ترجمه شده|
Data-driven control of micro-climate in buildings: An event-triggered reinforcement learning approach
کنترل مبتنی بر داده از اقلیم خرد در ساخت : یک رویکرد یادگیری تقویتی یک رویداد-2020
Abstract: Smart buildings have great potential for shaping an energy-efficient, sustainable, and more economic future for our planet as buildings account for approximately 40% of the global energy consumption. Future of the smart buildings lies in using sensory data for adaptive decision making and control that is currently gloomed by the key challenge of learning a good control policy in a short period of time in an online and continuing fashion. To tackle this challenge, an event-triggered – as opposed to classic time-triggered – paradigm, is proposed in which learning and control decisions are made when events occur and enough information is collected. Events are characterized by certain design conditions and they occur when the conditions are met, for instance, when a certain state threshold is reached. By systematically adjusting the time of learning and control decisions, the proposed framework can potentially reduce the variance in learning, and consequently, improve the control process. We formulate the micro-climate control problem based on semi-Markov decision processes that allow for variable-time state transitions and decision making. Using extended policy gradient theorems and temporal difference methods in a reinforcement learning set-up, we propose two learning algorithms for event-triggered control of micro-climate in buildings. We show the efficacy of our proposed approach via designing a smart learning thermostat that simultaneously optimizes energy consumption and occupants’ comfort in a test building.
Keywords: Event-triggered learning | Smart buildings | Reinforcement learning | Data-driven control | Energy efficiency | Cyber-physical systems
Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning
تجزیه و تحلیل داده های صنعتی بزرگ برای پیش بینی عمر مفید باقی مانده بر اساس یادگیری عمیق-2018
Due to the recent development of cyber-physical systems, big data, cloud computing, and industrial wireless networks, a new era of industrial big data is introduced. Deep learning, which brought a revolutionary change in computer vision, natural language processing, and a variety of other applications, has significant potential for solutions providing in sophisticated industrial applications. In this paper, a concept of device electrocardiogram (DECG) is presented, and an algorithm based on deep denoising autoencoder (DDA) and regression operation is proposed for the prediction of the remaining useful life of industrial equipment. First, the concept of electrocardiogram is explained. Then, a problem statement based on manufacturing scenario is presented. Subsequently, the architecture of the proposed algorithm called integrated DDA and the algorithm workflow are provided. Moreover, DECG is compared with traditional factory information system, and the feasibility and effectiveness of the proposed algorithm are validated experimentally. The proposed concept and algorithm combine typical industrial scenario and advance artificial intelligence, which has great potential to accelerate the implementation of industry 4.0.
INDEX TERMS : Cyber-physical systems, deep learning, device electrocardiogram, industrial big data,industry 4.0
Industrial Cyberphysical Systems Realizing Cloud-Based Big Data Infrastructures
سیستم های سایبرفیزیکی صنعتی با بهره گیری از زیرساخت های داده های بزرگ مبتنی بر ابر-2018
Future industrial systems and applications are expected to be complex constellations of cyberphysical systems (CPSs) where intel l igent networked embedded devices play a pivotal role toward the realization of new sophisticated industrial scenarios. The prevalence of multifaceted devices enables new avenues for monitoring at large scale via Internet of Things (IoT) technologies, and, when coupled with the real-time analysis of massive amounts of data, it results in new insights that can enhance decision-making processes and provide a competitive business advantage. How to collect, process, analyze, and interpret big data is a challenge that affects all industries, and, if effectively addressed, it would offer numerous operational benefits. This article discusses some of the main architectural issues related to collecting and handling big data for analysis linked to IoT and cloud technologies in the industrial context. The aim is to provide a high-level introductory view of this topic, underpinned with examples from popular frameworks, and discuss open research questions and future directions.
Keywords: Big Data, cloud computing, cyber-physical systems, data analysis, Internet of Things, production engineering computing
A method for evaluating the consequence propagation of security attacks in cyber–physical systems
یک روش برای ارزیابی انتشار نتیجه از حملات امنیتی در سیستم های فیزیکی سایبری-2017
Estimating the possible impacts of security attacks on physical processes can help to rank the critical assets based on their sensitivity to performed attacks and predict their attractiveness from the attacker’s point of view. To address this challenge, this paper proposes a new method for assessing the direct and indirect impacts of attacks on cyber–physical systems (CPSs). The proposed method studies the dynamic behavior of systems in normal situation and under security attacks and evaluates the consequence propagation of attacks. The inputs to the model are control parameters including sensor readings and controller signals. The output of the model is evaluating the consequence propagation of attacks, ranking the important assets of systems based on their sensitivity to conducted attacks, and prioritizing the attacks based on their impacts on the behavior of system. The validation phase of the proposed method is performed by modeling and evaluating the consequence propagation of attacks against a boiling water power plant (BWPP).
Keywords: Cyber–physical systems (CPSs) | Security evaluation | Physical dynamics | Consequence propagation
STPA-SafeSec: Safety and security analysis for cyber-physical systems
STPA-SafeSec: تجزیه و تحلیل ایمنی و امنیت سیستم های فیزیکی سایبری-2017
Article history:Available online 30 June 2016Keywords:Smart gridSynchronous islanded generation STPACPSSafetyCyber securityCyber-physical systems tightly integrate physical processes and information and communication technolo- gies. As today’s critical infrastructures, e.g., the power grid or water distribution networks, are complex cyber-physical systems, ensuring their safety and security becomes of paramount importance. Traditional safety analysis methods, such as HAZOP, are ill-suited to assess these systems. Furthermore, cybersecu- rity vulnerabilities are often not considered critical, because their effects on the physical processes are not fully understood. In this work, we present STPA-SafeSec, a novel analysis methodology for both safety and security. Its results show the dependencies between cybersecurity vulnerabilities and system safety. Us- ing this information, the most effective mitigation strategies to ensure safety and security of the system can be readily identiﬁed. We apply STPA-SafeSec to a use case in the power grid domain, and highlight its beneﬁts.© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
Keywords: Smart grid | Synchronous islanded generation | STPA | CPS | Safety | Cyber security
Safe Cooperating Cyber-Physical Systems using Wireless Communication The SafeCOP Approach
سیستم های سایبر فیزیکی همکاری با استفاده از رویکرد ارتباط بی سیم SafeCOP-2017
This paper presents an overview of the ECSEL project entitled ―Safe Cooperating Cyber-Physical Systems using Wireless Communication‖ (SafeCOP), which runs during the period 2016–2019. SafeCOP targets safety-related Cooperating Cyber-Physical Systems (CO-CPS) characterised by use of wireless communication, multiple stakeholders, dynamic system definitions (openness), and unpredictable operating environments. SafeCOP will provide an approach to the safety assurance of CO-CPS, enabling thus their certification and development. The project will define a runtime manager architecture for runtime detection of abnormal behaviour, triggering if needed a safe degraded mode. SafeCOP will also develop methods and tools, which will be used to produce safe ty assurance evidence needed to certify cooperative functions. SafeCOP will extend current wireless technologies to ensure safe and se cure cooperation, and also contribute to new standards and regulations, by providing certification authorities and standardization committees with the scientifically validated solutions needed to craft effective standards extended to also address cooperation and sys tem-of-systems issues. The project has 28 partners from 6 European countries, and a budget of about 11 million Euros corresponding to about 1,300 person-months.
Keywords: cyber-physical systems | systems-of-systems | safety-assurance | wireless communication
A short-term traffic prediction model in the vehicular cyber–physical systems
یک مدل پیش بینی ترافیکی کوتاه مدت در سیستم های فیزیکی سایبری وسایل نقلیه-2017
The advances in Cyber–Physical Systems (CPS), vehicular networks and Intelligent Transportation System (ITS) boost a growing interest in the design, development and deployment of Vehicular Cyber–Physical Systems (VCPS) for some emerging applications. As one of the key application for realizing traffic guidance, the traffic prediction could provide better route planning for people and accuracy decision basis for traffic managements. In practice, short-term traffic information has the characteristics of real time, incompleteness, non-linearity and non-stationary, and few proposed methods could successfully implement this forecasting. In this paper, we proposed a fuzzy Markov prediction model which can estimate the short-term traffic conditions in VCPS in urban environment. First, we selected a real-time GPS dataset in the Shanghai Transport Grid Project as our data source for traffic prediction and pre-process this raw dataset to make it consistent with the practical case. Next, we combine the fuzzy theory with Markov progress in the prediction model, and use the continuous three-step average method to reduce the errors caused by the one-step transition. Finally, we choose the speed and traffic flow to express the metrics of traffic state and use the fuzzy reasoning rules to give out the determined traffic state. The simulation results show that our proposed model can be precisely used for the short-term traffic prediction in urban environment.
Keywords: Short-term traffic prediction | Map matching | Markov model | Fuzzy logic
A game-theoretic approach to model and quantify the security of cyber-physical systems
رویکرد بازی-نظری برای مدل سازی و تعیین امنیت سیستم های فیزیکی سایبری-2017
The security of cyber-physical systems (CPSs) has become an active research area in recent years. The goal of attackers in these systems is often disrupting physical processes. However, breaking into a CPS is not the same as disrupting its physical process. To achieve the desired physical disruptions, an attacker needs to deep understanding about the failure conditions of the system, its control principles, and signal processing. For a better evaluation of the security of these systems, considering these issues is necessary. This paper presents a modeling approach to evaluate the security of CPSs. In the proposed model, the system moves discretely between different states, and in each state, the system evolves continuously according to a system of ordinary differential equations. The security modeling process of CPSs is divided into two phases of intrusion and disruption. In each phase, a game-theoretic paradigm with different parameters predicts the interactions between the attacker and the system. By solving the model, the security of CPSs is estimated in terms of metrics, such as mean-time-to-system shutdown and availability. Finally, the security of a chemical plant is investigated as an illustrative example.
Keywords: Cyber-physical system (CPS) | Security modeling | Security evaluation | Game theory
Cyber–physical systems: Extending pervasive sensing from control theory to the Internet of Things
سیستم های فیزیکی سایبری : گسترش سنجش فراگیر از نظریه کنترل به اینترنت اشیاء -2017
Essentially, the emerging term ‘‘Cyber–Physical Systems (CPS)’’ is an architectural paradigm in which the pervasive sensing technologies represent a fundamental part. Originally defined in the computer sciences domain, the term Cyber–Physical Systems has been adapted to very different domains such as the control theory or electronic engineering. Even, some authors understand CPS as a particular scenario of the Internet of Things (IoT) based on pervasive sensing. Furthermore, recently, some works propose a definition for CPS including all the features described in the different domains. In this paper we provide a comprehensive analysis of the nature and characteristics of the different proposals, discuss the recent attempts to standardize CPS, and review the state-of-the-art on CPS for each technological domain. We compare those different proposals on CPS, discuss about some related terms and technologies and conclude by describing the main research challenges in the area.
Keywords: Cyber–physical systems | Pervasive sensing | Machine-to-machine | Wireless sensor networks | Hybrid systems | Internet-of-Things | Data services | Pervasive computing