scholarly journals Technoeconomic Assessment Based on Active Context-Knowledge Orchestration for Power Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yuanshuo Zheng ◽  
Shujuan Sun ◽  
Chenyang Li ◽  
Jingtang Luo ◽  
Jiuling Dong ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Power Distribution ◽  
Economic Benefits ◽  
Assessment Model ◽  
Learning Technology ◽  
Assessment Framework ◽  
Technical Performance ◽  
System Requirements ◽  
Context Knowledge ◽  
Technology And Economy

Power Internet of Things (abbreviated as PIoT) is the information infrastructure to provide ubiquitous perception ability for smart grid (abbreviated as SG). To better deploy and utilize PIoT, its perception ability must be comprehensively assessed in terms of technical performance and economic benefits. However, at present, there is no assessment framework for PIoT due to the high diversity and heterogeneousness of SG scenarios. Additionally, there is information overlap between metrics in the assessment framework. The assessment model which could remove redundant information between metrics and simplify the assessment framework is an urgent demand to improve the effectiveness and timeliness of assessment. Consequently, first, aiming at the power system requirements of complex and diverse, a general assessment framework is put forward to assess the ability of PIoT in terms of technology and economy. Next, the requirement characteristics of power distribution scenario (abbreviated as PDS) are precisely analyzed with active context-knowledge orchestration technology. The general assessment framework is instantiated to build an instantiation assessment scheme in PDS. Moreover, an assessment model is established based on the instantiation assessment scheme to assess the efficiency of PIoT in Beijing. Finally, the assessment model is further refined with the machine learning technology to improve the efficiency of assessment. This refinement model achieves the extraction of 4-dimensional metrics from 23-dimensional metrics for assessment and finally improves assessment efficiency by 82.6%.

Research on transformer vibration monitoring and diagnosis based on Internet of things

2021 ◽  
Vol 30 (1) ◽  
pp. 677-688
Author(s):  
Zhenzhuo Wang ◽  
Amit Sharma
Keyword(s):  
Internet Of Things ◽  
Power Distribution ◽  
Vibration Analysis ◽  
Vibration Monitoring ◽  
Power Transformers ◽  
Normal Operation ◽  
Analysis Method ◽  
Power Distribution Network ◽  
Monitoring And Diagnosis ◽  
Distribution Transformers

Abstract A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved.

scholarly journals Lean Maturity Assessment in ETO Scenario

2021 ◽  
Vol 11 (9) ◽  
pp. 3833
Author(s):  
Mariastella Chiera ◽  
Francesco Lupi ◽  
Andrea Rossi ◽  
Michele Lanzetta
Keyword(s):  
Lean Manufacturing ◽  
Mathematical Formulation ◽  
Assessment Model ◽  
Assessment Framework ◽  
Lean Product Development ◽  
Lean Assessment ◽  
Assessment And Monitoring ◽  
Mission Management ◽  
Engineer To Order ◽  
Manufacturing Organization

The obligatory path towards a lean manufacturing organization requires assessment and monitoring. However, a lean assessment framework is not yet available for the engineer to order (ETO) scenario. This work explored ten lean ETO maturity principles—identified from the literature—that take insight from three formally defined sets (Toyota Way, lean construction, and lean product development principles). A practical assessment model was proposed based on the evaluation of ten lean ETO objective criteria (four with mathematical formulation) and was validated on a real industrial case. A problem-solving tool, including a new lean tool, called the Problem Focus Matrix (PFM), was also presented; this tool was aimed toward development of an integrated framework that would include the organization mission, management, and continuous improvement.

scholarly journals The effect of mineral fertilisers and farmyard manure on grain and straw yield, quality and economical parameters of winter wheat

2020 ◽  
Vol 66 (No. 6) ◽  
pp. 249-256
Author(s):  
Lukáš Hlisnikovský ◽  
Milan Vach ◽  
Zdeněk Abrhám ◽  
Ladislav Mensik ◽  
Eva Kunzová
Keyword(s):  
Winter Wheat ◽  
Farmyard Manure ◽  
Market Price ◽  
Economic Benefits ◽  
Quality Parameters ◽  
Control Treatment ◽  
Yield Quality ◽  
Technology And Economy ◽  
And Control ◽  
Technological Methods

In the years 2011–2014, winter wheat grain yield, qualitative and economic parameters were evaluated according to different fertiliser treatments: (1) control: unfertilised treatment; (2) farmyard manure (FYM) and (3) FYM + NPK (farmyard manure applied together with mineral NPK). The highest yields (8.10 t/ha) were recorded in the FYM + NPK treatment, while significantly lower yields (6.20 t/ha and 5.73 t/ha) were recorded in FYM and control treatments, respectively. Similarly, statistically significantly higher values of the quality parameters were found in the FYM + NPK treatment (13.55% of crude protein content and 43.56 mL of Zeleny’s sedimentation test), compared to control (10% and 22.44 mL, respectively). The modelling expert system (AGROTEKIS-Crop Technology and Economy) was used for the evaluation of economy. This software is based on technological methods of cultivation and norms of material input costs and costs of individual mechanised works. The economic benefits and profitability were evaluated for three different levels of grain market price. The highest gross profit per ha was recorded in the FYM + NPK treatment. According to the gross profit, the control treatment provided better results than the FYM treatment.

E-Learning Implementation and Its Diverse Effect

2011 ◽  
pp. 260-277
Author(s):  
Biju Issac ◽  
Jasmine Mering ◽  
Raymond Chiong ◽  
Seibu Mary Jacob ◽  
Patrick Then
Keyword(s):  
Success Factors ◽  
Economic Benefits ◽  
Learning System ◽  
Educational Opportunities ◽  
Learning Technology ◽  
Critical Success ◽  
Technological Advances ◽  
E Learning ◽  
Technological World ◽  
And Training

The rapid growth of technological advances in recent years has opened a completely new dimension to the progresses in education and training. The emergence of e-learning has created not only business and educational opportunities, but also significantly improved the standard of the society. This chapter explores into the implementation of e-learning and its impact on a community, similar to a university or corporate setup. To this aim, a brief introduction into e-learning technology and an example of using Blackboard Learning System are brought forth, along with some critical success factors. Projecting the e-learning advantages, along with the digital library concepts, the economic benefits of such implementation are highlighted. The thought of discussion then moves to the perspective of students and teachers on e-learning. As the trend in technological world is moving towards mobility, the wireless e-learning perception is also conferred. In the concluding remarks, the e-learning implementation is noted as a positive endeavor to boost the economic growth.

Promoting a revamped CRM through Internet of Things and Big Data: an AHP-based evaluation

2020 ◽  
Vol 28 (1) ◽  
pp. 66-91 ◽  
Author(s):  
Mohamad Abu Ghazaleh ◽  
Abdelrahim M. Zabadi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Customer Service ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Business Decision ◽  
Content Type ◽  
Factors Influencing ◽  
New Frontier ◽  
The Impact

Purpose Internet of things (IoT) and big data (BD) could change how the societies function. This paper explores the role of IoT and BD and their impact on customer relationship management (CRM) investments in modern customer service. The purpose of this paper is to develop an analytic hierarchy planning framework to establish criteria weights and to develop a general self-assessment model for determining the most important factors influencing the IoT and BD investment in CRM. The authors found that most studies have focused on conceptualizing the impact of IoT without BD and with limited empirical studies and analytical models. This paper sheds further light on the topic by presenting both IoT and BD aspects of future CRM. Design/methodology/approach The analytic hierarchy process (AHP) methodology is used to weight and prioritize the factors influencing the IoT and BD investment in modern CRM in the service industry. The AHP framework resulted in a ranking of 21 sustainability sub-factors based on evaluations by experienced information technology and customer service professionals. Findings The paper provides significant insight on the new frontier of CRM, focusing on the use of IoT and BD and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing and implementing IoT and BD in big businesses by identifying the connecting link between firms and customers. Practical implications The understanding of new frontier of CRM connective via IoT and BD can solve the dilemmas and challenges linked to the practice of implement IoT and BD in the information systems field. The study provides valuable information and critical analysis of IoT and BD with regard to the integration of CRM. Finally, this study further provides directions for future researchers. Originality/value IoT and BD are a growing phenomenon, which business decision-makers and information professionals need to consider seriously to properly ascertain the modern CRM dimensions in the digital economies. They also should embrace the proper CRM innovation, which is powered by IoT and BD, and discover how IoT and BD can bring the next level of maturity to CRM “CRM of everything.”

scholarly journals Performance Evaluation of Q690 High-Strength Concrete-Filled Thin-Walled Steel Tubular Columns under Compression-Bending Coupling

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Jiantao Wang ◽  
Qing Sun
Keyword(s):  
High Strength Concrete ◽  
High Strength ◽  
Significant Degree ◽  
Economic Benefits ◽  
Assessment Model ◽  
Range Analysis ◽  
Engineering Structures ◽  
Widespread Application ◽  
Strength Concrete ◽  
Thin Walled

The high-strength concrete-filled thin-walled steel tubular (HCFTST) columns, as a relatively new type structure member, could reduce the section size to obtain the favorable architecture aesthetic effects and gain further economic benefits. In this paper, the HCFTST columns were optimized on the basis of the orthogonal array of L16 (45) with three tested parameters. The orthogonal range analysis (ORA) was utilized to research the alteration degree, and the orthogonal variance analysis (OVA) was employed to analyze the significant degree between different parameters. Moreover, the optimized combinations based on performance index including strength, ductility, and energy dissipation were recommended to offer certain reference for structural design and application. Finally, a modified damage assessment model was proposed and verified. It indicates that the HCFTST columns with reasonable design could display favorable performance and can be expected to have a widespread application in engineering structures.

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