scholarly journals Blockchain-Based Power Energy Trading Management

2021 ◽  
Vol 21 (2) ◽  
pp. 1-16
Author(s):  
Hao Wang ◽  
Shenglan Ma ◽  
Chaonian Guo ◽  
Yulei Wu ◽  
Hong-ning Dai ◽  
...  
Keyword(s):  
Predictive Analytics ◽  
Maximum Flow ◽  
Information Aggregation ◽  
Real Data ◽  
Distributed Energy ◽  
Industrial Internet Of Things ◽  
Energy Trading ◽  
Smart Contract ◽  
Lower Total Cost ◽  
Industrial Internet

Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise a new distributed energy transaction system over the energy Industrial Internet of Things based on predictive analytics, blockchain, and smart contract technologies. We propose a solution for scheduling distributed energy sources based on the Minimum Cut Maximum Flow theory. Blockchain is used to record transactions and reach consensus. Payment clearing for the actual power consumption is executed via smart contracts. Experimental results on real data show that our solution is practical and achieves a lower total cost for power energy consumption.

MONITORING AND PREDICTIVE ANALYTICS OF TECHNOLOGICAL EQUIPMENT ON THE BASED OF INDUSTRIAL INTERNET OF THINGS

2020 ◽  
pp. 7-12
Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Predictive Analytics ◽  
Actual State ◽  
Monitoring And Control ◽  
Industrial Internet Of Things ◽  
Machining Time ◽  
Industrial Internet ◽  
Acquisition Device ◽  
Data Acquisition Device

Произведен обзор технологий в рамках концепции четвертой промышленной революции, рассмотрены примеры реализации новых моделей управления технологическими процессами на базе промышленного интернета вещей. Описано техническое устройство основных подсистем системы мониторинга и контроля, служащей для повышения осведомленности о фактическом состоянии производственных ресурсов в особенности станков и аддитивного оборудования в режиме реального времени. Архитектура предлагаемой системы состоит из устройства сбора данных (УСД), реализующего быстрый и эффективный сбор данных от станков и шлюза, передающего ликвидную часть информации в облачное хранилище для дальнейшей обработки и анализа. Передача данных выполняется на двух уровнях: локально в цехе, с использованием беспроводной сенсорной сети (WSN) на базе стека протоколов ZigBee от устройства сбора данных к шлюзам и от шлюзов в облако с использованием интернет-протоколов. Разработан алгоритм инициализации протоколов связи между устройством сбора данных и шлюзом, а также алгоритм выявления неисправностей в сети. Расчет фактического времени обработки станочных подсистем позволяет более эффективно планировать профилактическое обслуживание вместо того, чтобы выполнять задачи обслуживания в фиксированные интервалы без учета времени использования оборудования We carried out a review of technologies within the framework of the concept of the fourth industrial revolution; we considered examples of the implementation of new models of process control based on the industrial Internet of things. We described the technical structure of the main subsystems of the monitoring and control system to increase awareness of the actual state of production resources in particular machine tools and additive equipment in real time. The architecture of the proposed system consists of a data acquisition device (DAD) that implements fast and efficient data collection from machines and a gateway that transfers the liquid part of information to the cloud storage for further processing and analysis. We carried out the data transmission at two levels, locally in the workshop, using a wireless sensor network (WSN) based on ZigBee protocol stack from the data acquisition device to the gateways and from the gateways to the cloud using Internet protocols. An algorithm was developed for initializing communication protocols between a data acquisition device and a gateway, as well as an algorithm for detecting network malfunctions. Calculating the actual machining time of machine subsystems allows us to more efficiently scheduling preventive maintenance rather than performing maintenance tasks at fixed intervals without considering equipment usage

scholarly journals Blockchain-Enhanced Fair and Efficient Energy Trading in Industrial Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianwen Hu ◽  
Yuling Chen ◽  
Xiaojun Ren ◽  
Yixian Yang ◽  
Xiaobin Qian ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Consensus Algorithm ◽  
Experimental Simulation ◽  
Industrial Internet Of Things ◽  
Identity Verification ◽  
Energy Trading ◽  
Blockchain Technology ◽  
Transaction Process ◽  
Industrial Internet ◽  
Trading Scheme

As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the HO-TRAD energy trading scheme that guarantees fairness in the allocation of trading resources by introducing an entity’s active reputation value. Use smart contracts to achieve transparency and ensure fairness in the transaction process. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.

Blockchain-Enabled Secure Energy Trading With Verifiable Fairness in Industrial Internet of Things

2020 ◽  
Vol 16 (10) ◽  
pp. 6564-6574 ◽  
Author(s):  
Meng Li ◽  
Donghui Hu ◽  
Chhagan Lal ◽  
Mauro Conti ◽  
Zijian Zhang
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Energy Trading ◽  
Industrial Internet

scholarly journals Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things

2017 ◽  
pp. 1-1 ◽  
Author(s):  
Zhetao Li ◽  
Jiawen Kang ◽  
Rong Yu ◽  
Dongdong Ye ◽  
Qingyong Deng ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Energy Trading ◽  
Industrial Internet

scholarly journals Methodological Foundations for Modeling the Processes of Combining Organic Fuel Generation Systems and Photovoltaic Cells into a Single Energy Technology Complex

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2816
Author(s):  
Anatoliy Alabugin ◽  
Konstantin Osintsev ◽  
Sergei Aliukov
Keyword(s):  
Distributed Energy ◽  
Industrial Internet Of Things ◽  
Organic Fuel ◽  
Complex Objects ◽  
Hybrid Energy ◽  
Electric Drives ◽  
Industrial Internet ◽  
Methodological Approaches ◽  
And Control ◽  
Effective Integration

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. Firstly, the differentiation of the composition of capacities and sources in the complex of hybrid energy facilities has been expanded, secondly, possibilities of modeling has been increased. Furthermore, the results of investigation are the model of integration and balancing regulation in the transactional energy platform of the Center for the Coordination of Interest in Complex Objects.

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