Software Development for the Monitoring System of Renewable Energy Generation Process

Слабінога, М. О.; Krynytsky, Oleksandr; Klochko, N.B.; Melnychuk, Stepan; Kuchirka, Yuriy; Manuliak, Iryna

doi:10.1109/memstech53091.2021.9468071

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…At present, the scale of component-based software systems is becoming larger, and the applications of this type of system in aviation, military, medicine, and other key fields are constantly growing ( Lindoerfer & Mansmann, 2017 ; Park & Choi, 2018 ; da Silva et al, 2022 ; Slabinoha et al, 2021 ). However, a small bug may lead to the malfunction of components and even the failure of the entire system, leading to disastrous consequences ( Aydin, 2020 ; Fitzgerald, 2012 ).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

Yu-zhuo

Liu

Yuan

et al. 2023

PeerJ Computer Science

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The component-based software system has a core that is based on architecture design. Predicting the reliability growth trends of a software system in the early stages of the development process is conducive to reducing waste and loss caused by blind development. Restricted by the lack of information and data in the design and integration phase, it is difficult to implement reliability prediction research at this stage. In this article, we focus on a software system in which the reliability of each component follows the G-O model. First, two system-level parameters, which are the total number of system faults and the detection rate of the system faults, are defined. Then, by studying the relationship between the total number of faults and the detection rate of faults between the components and the system, the defined system parameters are calculated from the known component parameters. On this basis, and by incorporating the system parameters, we construct a reliability growth model for the software system, called the component-based generalized G-O model (CB-GGOM). Besides, two approximate models of CB-GGOM are proposed to facilitate reliability evaluation of the software system in the early and stable stages of the integration test. An engineering explanation of the proposed models is also provided, and their effectiveness is verified through simulation and with an authentic example. Since the proposed models are formulated without any integration test data, they are beneficial for developers to optimize test strategies of the software system and implement defect prevention in advance.

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Section: Introductionmentioning

confidence: 99%

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

Yu-zhuo

Liu

Yuan

et al. 2023

PeerJ Computer Science

View full text Add to dashboard Cite

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An IoT Photovoltaic Sensing System

Voicu

Petreuş

Cebuc

et al. 2021

2021 20th RoEduNet Conference: Networking in Education and Research (RoEduNet)

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Artificial Lift Gas Flow Control System for Oil-Producing Wells

Ronceros,

Usquiano,

León

et al. 2024

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The research was geared toward the development of a flow control system for oil-producing wells through artificial gas lift using the Network Data Acquisition System (Net-DAS), to optimize the operations carried out by Remote Terminal Units (RTU) located in the control cabins near oil producing wells. The study was limited to the Gas Lift wells in the Carito field of Petroleos de Venezuela. S.A. (PDVSA). The variable to be measured is the gas flow that is injected into said wells through a control valve that is activated by an actuator that works in four operating states in the Net-DAS. However, variables such as pressure and temperature can also be viewed from the Supervisory Control and Data Acquisition (SCADA) system. The proposed control system is based on the LinPAC-8381 RTU with Net DAS architecture. The proposal enables the establishment of a local control by migrating the programming logic controller (PLC) control logic to the Net-Das architecture. This allows the plant operator to work in four states to control the amount of flow to be injected into the well: local control and remote control, which in turn is divided into manual, automatic and optimized remote control, which maximizes the extraction of crude oil.

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Software Development for the Monitoring System of Renewable Energy Generation Process

Cited by 3 publications

References 10 publications

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

Comprehensive evaluation of software system reliability based on component-based generalized G-O models

An IoT Photovoltaic Sensing System

Artificial Lift Gas Flow Control System for Oil-Producing Wells

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