Research on the Digital Twin Based Computer Room Intelligent Operation and Maintenance Monitoring Methods

2020 ◽  
Author(s):  
Zhang Hong ◽  
Zhang Qianqian ◽  
Li Yan
Keyword(s):  
Monitoring Methods ◽  
Digital Twin ◽  
Operation And Maintenance

Digital Twin-Driven Condition-Based Maintenance

2022 ◽  
pp. 109-136
Author(s):  
Adolfo Crespo del Castillo ◽  
Marco Macchi ◽  
Laura Cattaneo
Keyword(s):  
Real Time ◽  
Industry 4.0 ◽  
Simulation Models ◽  
Condition Based Maintenance ◽  
Industrial Management ◽  
Digital Twin ◽  
Operation And Maintenance ◽  
Twin Models ◽  
Technical Professionals ◽  
Case Development

The world is witnessing an all-level digitalization that guides the industry and business to a restructuration in order to adapt to the new requirements of the surrounding environment. That change also concerns the labour of the technical professionals and their formation. As a consequence of this deep consciousness-raising, this chapter will investigate and develop simulation models based on the current digitalization. The aim of this chapter is the exposition of a real case development of “digital twin” models framed as part of the condition-based maintenance paradigm to improve real-time assets operation and maintenance. This model contributes by providing real-time results that could turn into a basis for the industrial management decisions and place them in the Industry 4.0 paradigm environment.

scholarly journals Power analysis of smart home appliances based on SSA-TCN

2021 ◽  
Vol 2078 (1) ◽  
pp. 012060
Author(s):  
Chao Tang ◽  
Yong Tang ◽  
Huihui Liang ◽  
Linghao Zhang ◽  
Siyu Xiang
Keyword(s):  
Energy Consumption ◽  
Power Analysis ◽  
Smart Home ◽  
Singular Spectrum Analysis ◽  
Recognition Rate ◽  
Monitoring Methods ◽  
Convolutional Network ◽  
Home Appliances ◽  
Operation And Maintenance ◽  
Smart Home Appliances

Abstract The popularity of smart home equipment has led to higher requirements for equipment automation operation and maintenance. However, the energy consumption status and hidden faults of household equipment cannot be controlled in time only by using traditional monitoring methods. Therefore, this paper proposes a methods of power analysis for smart home appliances based on SSA-TCN using the energy consumption data of smart home appliances. The effective information of the data is extracted through the SSA singular spectrum analysis method, and the data sequence is input into the sequential convolutional network for judgment, so that the energy consumption status and working status of the equipment is obtained. The actual data is used as the training set and the test set to verify the recognition rate of the model. The experimental results show that the recognition rate of the method is about 82%, which provides an effective way for equipment automation and intelligent operation and maintenance.

scholarly journals Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Zhansheng Liu ◽  
Antong Jiang ◽  
Anshan Zhang ◽  
Zezhong Xing ◽  
Xiuli Du
Keyword(s):  
Steel Structure ◽  
Virtual Space ◽  
Safety Risk ◽  
Digital Twin ◽  
Whole Process ◽  
Twin Model ◽  
Operation And Maintenance ◽  
Maintenance Stage ◽  
Prestressed Steel Structure ◽  
Whole Life Cycle

The operation and maintenance stage of the long-span prestressed steel structure is the core link of the whole life cycle. At present, there are few studies on the change law of safety risk in the whole process of operation and maintenance, especially the research on the analysis and prediction of the change law of safety risk in the whole process of structural operation and maintenance by effectively using the abundant monitoring data and relevant safety risk information in the operation and maintenance stage, which also affects the prestressed steel, which also affects the efficiency of judgment and control decision-making of operation and maintenance safety state of prestressed steel structure. Taking the spoke-type cable truss as an example, this paper proposes a new concept of integrating the digital twin model (DTM) with steel structure operation and maintenance safety. Through the combination of real physical space dimensions and digital virtual space dimensions, it is based on a hypothetical analysis model. In the above, a theoretical framework is proposed, and a case analysis of a prestressed steel structure is carried out from big data, and the feasibility of applying this method in the prestress loss and uneven rain and snow load conditions is evaluated. This method can provide guidance for operation and maintenance management and formulate strategies in time.

Application of digital twin in operation and maintenance of power transmission project

2021 ◽  
Author(s):  
Haisheng Liang ◽  
Nazhaer Mulatibieke ◽  
Jianyong Shi ◽  
Zhengyu Lv ◽  
Liang Zhou
Keyword(s):  
Power Transmission ◽  
Digital Twin ◽  
Operation And Maintenance

scholarly journals Digital twins for managing railway maintenance and resilience

2021 ◽  
Vol 1 ◽  
pp. 91
Author(s):  
Sakdirat Kaewunruen ◽  
Jessada Sresakoolchai ◽  
Yi-hsuan Lin
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Life Cycles ◽  
Optimal Time ◽  
Transit System ◽  
Digital Twin ◽  
Operation And Maintenance ◽  
Railway Maintenance ◽  
Whole Life Cycle

Background: To improve railway construction and maintenance, a novel digital twin that helps stakeholders visualize, share data, and monitor the progress and the condition during services is required. Building Information Modelling (BIM) is a digitalization tool, which adopts an interoperable concept that benefits the whole life-cycle assessment (LCA) of the project. BIM’s applications create higher performance on cost efficiency and optimal time schedule, helping to reduce any unexpected consumption and waste over the life cycle of the infrastructure. Methods: The digital twin will be developed using BIM embedded by the lifecycle analysis method. A case study based on Taipei Metro (TM) has been conducted to enhance the performance in operation and maintenance. Life cycles of TM will be assessed and complied with ISO14064. Operation and maintenance activities will be determined from official records provided by TM. Material flows, stocks, and potential risks in the LCA are analyzed using BIM quantification embedded by risk data layer obtained from TM. Greenhouse emission, cost consumption and expenditure will be considered for integration into the BIM. Results: BIM demonstrated strong potential to enable a digital twin for managing railway maintenance and resilience. Based on the case study, a key challenge for BIM in Taiwan is the lack of insights, essential data, and construction standards, and thus the practical adoption of BIM for railway maintenance and resilience management is still in the design phase. Conclusions: This study exhibits a practical paradigm of the digital twin for railway maintenance and resilience improvement. It will assist all stakeholders to engage in the design, construction, and maintenance enhancing the reduction in life cycle cost, energy consumption and carbon footprint. New insight based on the Taipei Mass Rapid Transit system is highly valuable for railway industry globally by increasing the lifecycle sustainability and improving resilience of railway systems.

scholarly journals Research on Digital Twin and Collaborative Cloud and Edge Computing Applied in Operations and Maintenance in Wind Turbines of Wind Power Farm

2021 ◽  
Author(s):  
Fuxing Li ◽  
Luxi Li ◽  
You Peng
Keyword(s):  
Cloud Computing ◽  
Wind Turbine ◽  
Wind Farm ◽  
Edge Computing ◽  
Fault Prediction ◽  
Cloud Data ◽  
Digital Twin ◽  
Operation And Maintenance ◽  
Data Source ◽  
Computing Node

For the increasingly prominent problems of wind turbine maintenance, using edge cloud collaboration technology to construct wind farm equipment operation and maintenance framework is proposed, digital twin is used for fault prediction and diagnosis. Framework consists of data source layer, edge computing node layer, public or private cloud. Data source layer solves acquisition and transmission of wind turbine operation and maintenance data, edge computing node layer is responsible for on-site data cloud computing, storage and data transmission to cloud computing layer, receiving cloud computing results, device driving and control. The cloud computing layer completes the big data calculation and storage from wind farm, except that, based on real-time data records, continuous simulation and optimization, correct failure prediction mode, expert database and its prediction software, and edge node interaction and shared intelligence. The research explains that wind turbine uses digital twin to do fault prediction and diagnosis model, condition assessment, feature analysis and diagnosis, life prediction, combining with the probabilistic digital twin model to make the maintenance plan and decision-making method.

A digital twin network solution for end-to-end network service level agreement (SLA) assurance

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 5
Author(s):  
Xiaowen Sun ◽  
Cheng Zhou ◽  
Xiaodong Duan ◽  
Tao Sun
Keyword(s):  
Network Performance ◽  
High Efficiency ◽  
Low Cost ◽  
Service Level Agreement ◽  
Mobile Network ◽  
Service Level ◽  
Digital Twin ◽  
Operation And Maintenance ◽  
Network Operation ◽  
End To End

With the gradual development of the 5G industry network and applications, each industry application has various network performance requirements, while customers hope to upgrade their industrial structures by leveraging 5G technologies. The guarantee of service level agreement (SLA) requirements is becoming more and more important, especially SLA performance indicators, such as delay, jitter, bandwidth, etc. For network operators to fulfill customer’s requirements, emerging network technologies such as time-sensitive networking (TSN), edge computing (EC) and network slicing are introduced into the mobile network to improve network performance, which increase the complexity of the network operation and maintenance (O&M), as well as the network cost. As a result, operators urgently need new solutions to achieve low-cost and high-efficiency network SLA management. In this paper, a digital twin network (DTN) solution is innovatively proposed to achieve the mapping and full lifecycle management of the end-to-end physical network. All the network operation policies such as configuration and modification can be generated and verified inside the digital twin network first to make sure that the SLA requirements can be fulfilled without affecting the related network environment and the performance of the other network services, making network operation and maintenance more effective and accurate.

scholarly journals Research on Intelligent Monitoring and Maintenance Technology of Substation Based on Digital Twin

2021 ◽  
Vol 2136 (1) ◽  
pp. 012029
Author(s):  
He Wang ◽  
Peng Lin ◽  
Zhansheng Hou ◽  
Shijun Sun
Keyword(s):  
Life Cycle ◽  
Fault Diagnosis ◽  
Power Grid ◽  
Intelligent Monitoring ◽  
Digital Twin ◽  
Full Life Cycle ◽  
Operation And Maintenance ◽  
Test Operation ◽  
Digital Substation ◽  
Full Life

Abstract The design, research and development, test, operation and maintenance of power grid substation equipment are relatively independent. Related problems in each link cannot be comprehensively managed from the perspective of the full life cycle of equipment. Operation and maintenance personnel need to face data monitoring, network monitoring, equipment monitoring, business system monitoring, fault diagnosis and repair and other business scenarios. There are many types of information, complex association relationship, abstract and inefficient operation and maintenance information, “man-machine-object” can not be two-way cooperation and interaction, fault diagnosis and troubleshooting difficulties. Digital substation intelligent monitoring operational digital twin applications, digital intelligent substation operations provide operational monitoring service ability, realize the grid digital substation twin modeling and environment reconstruction, false or true merged superposition, two-way coordinated interaction, twin intelligence operations and panoramic visual monitoring, field devices for power grid operation maintenance, resource scheduling, and construction planning to provide guidance, Fully guarantee the safe and reliable operation of power grid equipment, realize the full life cycle management of power grid equipment, and improve the level of intelligence, visualization and digitalization of power grid.

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