Management System Model Research Articles

Innovation and application of integrated management mechanism of chemical flooding in extra-high water cut sandstone oilfield

Abstract Daqing oilfield chemical flooding technology is mature and matching, enhanced oil recovery, strongly support the development of oil fields, in order to ensure the national strategic security of energy plays a pivotal role. Since the 13th five-year plan, aiming at the problems of poor quality reservoir condition, poor development benefit and increasing difficulty of stable production, the target of high-efficiency development has been set, innovative Management mode, the construction of “Key research, continuous improvement, promotion and application” closely linked to the new mechanism of integrated scientific research and production management; A new dynamic management mechanism of chemical flooding development is established, and a new management model of injection system is established. Since 2016, the development efficiency of chemical flooding has improved markedly, with annual oil production remaining stable at over 10 million tons and an additional 2.55 million tons of oil production. The tonnage of polymer-enhanced oil has increased from 47.4 tons to 57.2 tons, saving 126,000 tons of polymer and generating 5.503 billion yuan in economic benefits, Daqing Field has made important contributions to the revitalization and development of the country in the new era and ensuring national energy security.

BPMT: A hybrid model for secure and effective electronic medical record management system

Designing an efficient distributed blockchain system to store and access rising electronic medical records (EMR) is still challenging. Although many techniques have been designed to utilize EMRs proficiently, they still suffer from accessing time, storage time, and throughput. In this work, we have proposed a Merkle and B+ tree-based hybrid model to improve the performance of the blockchain system. B+ tree has improved the system's performance because of its practical layout and balanced structure. At the same time, Merkle Tree has ensured the integrity and security of the information. The proposed (B+ Merkle tree) BPMT model has reduced the storage time of records, improved the system's throughput, and significantly reduced memory use. These enhancements are supported by a thorough complexity analysis and testing on several datasets, which validate the efficacy and scalability of the model. The outcomes validate the performance improvements of the model and lay the groundwork for further developments in blockchain-based EMR management.

Performance analysis and thermal comfort evaluation of a CO2 transcritical air-conditioning system for cabin thermal management of electric vehicles

This study investigates the effects of different operating conditions on system performance and optimal discharge pressure by establishing a numerical model of CO2 cabin thermal management system and validating the model with experimental data. Besides, two different optimal discharge pressure formulas are attained based on different parameters. It is found that the multi-parameter formula is more accurate than the other with a maximum deviation of 2.64%. Then, the control strategy is designed based on this formula to investigate the coupled effects of thermal comfort and economical performance under different driving patterns and different ambient temperatures. The elevation of PMV indicator can weaken the declining rate of power and energy consumption, enhance the driving range and reduce annual operation cost in cooling mode (AOCc) of vehicle. The boundary of thermal comfort zone (PMV = 0.5) exhibits excellent economical efficiency due to its higher growth rate of driving range (6.3%) and reduction rate of AOCc (7.9%) from 0 to 0.5 PMV at the ambient temperature of 35 °C. And this improvement is more prominent under higher ambient temperature.

Modeling of Li-ion Battery Management System for Unmanned Aerial Vehicles

Nowadays, systems that use more electricity in aircraft are increasing due to harmful gas emissions. This increase has created the need to store electrical energy and accelerated the trend towards battery technologies. Since energy storage in batteries occurs as a result of chemical reactions, problems may occur that will damage the battery group or the entire system. These problems are caused by high current, voltage, and temperature, which affect the reaction rate during battery charging/discharging. A Battery Management System (BMS) is needed to prevent problems and to use the required electrical energy safely. In this study, it is aimed to meet the energy needs of the system in a controlled manner by disabling only the damaged cell in case of problems that may occur in the cells in the battery. For this purpose, a model of an Unmanned Aerial Vehicle (UAV) system been created by adding a BMS block to each cell to control the battery cells. The BMS model is realized based on the cell temperature, the State of Charge (SoC) value of the cell, and the output voltage values of the cell. The UAV system is modeled using MATLAB/Simulink environment. Thanks to the proposed BMS, in case of a problem that may occur in any cell in the battery, that cell will be disabled and the required energy will be met through the remaining cells. It is observed from the results obtained that when the cell parameters become normal, it continues to feed the system again.

QUALITY MANAGEMENT SYSTEM ACCORDING WITH STANDARD ISO 9001:2015

The paper presents a review of standard ISO 9001:2015 used in quality management systems. It indicates a process approach, as recommended for thinking based on the risk, which is a basic model of the quality management system. It identifies the quality management system as an organisational tool for fulfilment of assumed objectives. Keywords:

AI-powered decision making for road safety optimization under probabilistic linguistic Sugeno-Weber aggregation information

Traffic accidents, a global concern, pose threats to lives and carry substantial economic and societal burdens. This paper explores the innovative integration of artificial intelligence (AI) into the ambiance of Multi Criteria Decision Making (MCDM) to address the challenge. We investigate AI's potential to enhance road safety globally, utilizing data analysis, predictive modeling, and intelligent traffic management systems. Our goal is to revolutionize accident prevention by optimizing decision-making processes and promoting safer and more efficient road environments. In the realm of information aggregation and fusion, growing interest among researchers has centered on probabilistic linguistic expression sets, which adeptly aggregate uncertain data. This article's primary aim is to explore methodologies for aggregating information within a probabilistic linguistic environment. To achieve this goal, we have introduced procedural laws based on the Sugeno-Weber (SW) framework for handling probabilistic linguistic term elements (PLTEs), rooted in both the product and sum of SW operations. Consequently, we have crafted a range of probabilistic linguistic aggregation techniques, encompassing the probabilistic linguistic SW Average (PLSWA) and Geometric (PLSWG), followed by weighted as well as ordered aggregation operators like PLSWWA and PLSWWG, PLSWOWA and PLSWOWG. By harnessing SW τ-norm and τ-conorm, we have developed versatile aggregation tools that facilitate information reinforcement. Through the utilization of proposed operators, we have presented strategies for effectively integrating probabilistic linguistic term sets (PLTs) in the context of MCDM. We have compared our suggested procedures with the TOPSIS approach and elucidated the diverse features inherent to these operators.

A Modeling Approach for Cargo Transportation Considering Energy Saving

This study presents a cargo transportation system management model that enables users to carry out the cargo process efficiently and economically. Cargo transportation is an important part of the transportation systems network. The advantages of cargo transportation are to ensure the safe delivery of products, save time and reduce costs. This study addresses the solution to the problems of high carbon dioxide emissions, and late and expensive deliveries caused by large distribution networks, by taking into account the density and logistics strategies of the cargo companies. The proposed cargo management system focuses on delivering cargo to destinations along the route that users are currently traveling on. This system is built around three main components: optimized route planning by an A* algorithm, a system model controllable through mobile and web interfaces, and nodes designated as drop-off and pick-up points for cargo. The A* algorithm runs with a reward matrix that also takes direction into account to calculate the optimal route. Users carry out the cargo management and tracking processes on mobile and web interfaces. Automatic nodes, which are the model prototype of the study, represent the cargo vending machines where users deliver/receive their cargo. Through this work, users can view and select cargo to carry while traveling between destinations and earn profits by acting as cargo carriers/drivers.

Development of a Non-Linear Battery Management System Model for Lithium-Ion Batteries Using MATLAB Simulation

Abstract: This research focuses on developing a comprehensive battery model tailored for Battery Management Systems (BMS) using lithium-ion batteries. Given the increasing reliance on lithium-ion batteries in electric vehicles and portable electronic devices, this study aims to construct a non-linear battery model that accurately reflects the charging and discharging characteristics under various load conditions. The research identifies suitable characteristics of lithium-ion batteries essential for effective battery model construction. A MATLAB-Simulink approach is employed to build the model, which integrates both charging and discharging processes into a single simulation framework. This merged model enhances the existing non-linear models by offering improved accuracy in simulating battery behavior under fixed parameters. The outcome is expected to provide a reference model for future studies and applications in power management systems. Additionally, this research underscores the critical role of BMS in extending battery life and ensuring safety, making it a significant contribution to the field of energy management. The study's findings highlight the potential of the proposed model to serve as a foundation for further research and development in battery technologies.

Empowering sustainable hotels: a guest-centric optimization for vehicle-to-building integration

In light of global warming, hotels account for one of the highest energy demands within the building sector, offering great decarbonization potential. As electrification increases, so does the demand for electric vehicles (EVs) charging stations at hotels and the proportion of Vehicle-to-Building-capable EVs. Therefore, the study explores the potential of guest-centric energy management. To accomplish this, we develop an optimization model for an energy management system that focuses on either cost-efficiency or carbon dioxide equivalents (CO2)-efficiency, grounded in a real-world case study. Through scenario analyses considering seasons as well as different guest mobility behaviors, this study discusses the expenses associated with CO2 savings using digital solutions. It emphasizes the currently perceived conflict between cost reduction and decarbonization goals to achieve a sustainable design of information systems. Thereby, this study highlights the critical importance of individual mobility behavior in enabling sustainable energy management for hotels.

Reliability indicators management of thermoelectric systems for thermal modes under limited power consumption

The temperature dependence of electronic components has a significant impact on the technology and design methods of information systems. Thermal management systems are an essential component of on-board systems, for which the most important requirements are reliability, weight, dimensions and power consumption. The thermoelectric method of heat extraction is one of the most promising for products with localized and unevenly distributed heat-loaded elements. The requirement to improve system reliability while increasing dynamics and reducing weight is a fundamental problem, its solution is relevant, and finding compromise solutions between reliability and dynamics is the goal of research. The paper shows that the main significant indicators of thermoelectric systems for ensuring thermal conditions are reliability, dynamics, power consumption and controllability. A mathematical model of a thermal management system consisting of: a heat-loaded object - a thermoelectric cooler - a device for discharging heat into the environment. The determining relationship between the intensity of failures and the geometry of thermocouples and current modes, dynamics and energy indicators and physical properties of the thermocouple material, and the possibility of finding compromises between reliability indicators and cooler dynamics are revealed. The expediency of optimized management of the executive body by a set of interrelated basic energy, time, reliability indicators and the areas of their preferred use is substantiated. The practical value of the research lies in the intensification of heat exchange of the heat sink with the external environment, reduction of the temperature difference, which makes it possible to reduce the intensity of failures and dynamic characteristics of thermoelectric systems for ensuring thermal conditions.

GIS-technologies and algorithm for developing regional systems for handling medical waste on the example of three regions

Introduction. GIS is a modern computer technology designed for collecting, storing, analyzing and visualizing spatial data – mapping. GIS is also actively used in healthcare to solve many regional problems, including optimization and management of healthcare resources. Over last decade, many researchers have used mathematical software models for healthcare waste management. A review of the literature shows facility location, risk to the public, and economic feasibility to be among the issues that have been extensively covered in the literature. Designing a reverse logistics network using mathematical software tools is an efficient and effective way to manage healthcare waste. The objective of the study. To determine the optimal approach to creating a functional model of a system for managing medical waste of class B and C using GIS-technologies for each of the three regions, based on the characteristics of each. Materials and methods. Medical institutions in three regions (St. Petersburg, Leningrad Region and Krasnoyarsk Territory) as sources of medical waste generation were considered taking into account their capacity and specialization. The composition and volumes of waste by class were determined using a calculation method based on indicative waste generation standards. The identification of local technologies for the neutralization of medical waste existing in medical institutions was carried out. The obtained data was processed statistically and displayed on electronic maps for subsequent use in GIS technologies, as well as for the development and justification of a waste management system for medical institutions, taking into account the prospects for the development of healthcare. Results. Based on the analysis of data on medical waste of classes B and C in individual medical institutions, as well as an analysis of the power of existing technologies for neutralizing this waste using GIS technologies, proposals were developed to improve the medical waste management system in three regions. The proposals are aimed at improving the sanitary and epidemiological situation in the regions over a five-year period and take into account the features of the existing transport infrastructure and the requirements of sanitary legislation. Limitations. The model of a medical waste management system using GIS technologies was used only for managing waste of classes B and C. Conclusion. To ensure the safe and environmentally sustainable functioning of the waste management system of classes B and C in the regions, it is necessary to apply an integrated approach based on GIS technologies. This approach should take into account the regional characteristics of the management of the medical waste disposal system and its economic feasibility and take into account the regional characteristics of transport logistics and the prospects for the development of healthcare.

Information Modeling Implementation in PAO “Rosneft” as Challenge of Digitization in Construction Industry

Key goals of construction industry modernization and quality improvement are the introduction of information modeling which is an effective tool for increasing the enterprise competitiveness through the quality of design and construction, resource optimization and efficiency of interaction between process participants throughout the entire life cycle.The article presents information modeling (3D design) in PAO “Rosneft” with respect to the tasks of ensuring adaptation to design procedure in the company and the transition to full-scale 3D design. The choice of software is justified, real examples of completed pilot projects using information modeling are described, and information modeling implementation are presented. The experience in information modeling implementation helps companies to choose one or another software, and become familiar with the process at PAO “Rosneft”. As a result of the digital transformation of design processes, a model of the life cycle management system of capital construction project is developed, the basis of which is its information model. In addition, the main problems that require solutions for the successful information modeling implementation are identified, i.e., shortcomings of domestic software, shortage or absence of highly qualified personnel, unwillingness of customers to work with technical information, efficiency decrease of the organization due to the introduction of a new approach to project implementation into existing processes, resistance from employees, customers and contractors of construction, and installation works.The information modeling introduction in the PAO “Rosneft” allow to achieve goals for im[1]port substitution of technologies and prepare a worthy response to global geopolitical challenges.

Development and functional testing of battery management system algorithm for an electric bicycle using hardware in the loop testbench

An embedded Battery Management System (BMS) ensures the effective functionality and longevity of the vehicle battery systems. Testing the BMS using the Hardware in Loop (HIL) approach effectively increases safety and reduces product development time in the manufacturing sector. This research aims to develop an efficient battery management system with two-level protection for electric bicycles and test its functionality in the HIL configuration. The bicycle traction model and battery management system were first developed using a model-based design. Further, the model is tested and validated using battery emulators in the HIL methodology. The battery management system receives input data, such as current, voltage, and temperature, and monitors these parameters. The first level of protection involves the vehicle user receiving the warning when the monitoring parameters values exceed the given first safety threshold. As per the second safety threshold values, the BMS trips off the charging or discharging process when the voltage is 51V, the charge current is 5A, the discharge current is -5A and the IC temperature is 80 degrees. Also, BMS balances the cells in 3.84 min using passive balancing. Additionally, the BMS delivers a controlled current of 2.5A for safe battery charging. This methodology increases safety by reducing the potential risks of testing the BMS algorithms in the actual electric bicycle.

Enhancing The Excellence of Quality Management System Auditors: A Competency-Based Training Model with Instructional Design Strategic Approaches and Measurable Outcomes

The development and implementation of a competency-based training model for Quality Management System (QMS) auditors are crucial for enhancing audit quality and organizational performance. This study identifies and addresses gaps in current auditor training programs through a structured approach that includes clear instructional goals, effective assessment tools, and robust instructional strategies. The research utilizes Training Needs Analysis (TNA) data and aligns training objectives with industry expectations through Occupational Standards and Competency Standards. Learning outcomes are formulated using the ABCD method (Audience, Behaviour, Condition, Degree) to ensure clarity, measurability, and achievability. The training program employs Outcome-Based Learning and Teaching (OBLT) methodologies, ensuring that the focus remains on achieving specific competencies. Self-assessment based on competency standards encourages reflective learning and self-improvement, while competency-based assessments measure the effectiveness of the training and the skills acquired by participants. The program culminates in the awarding of Micro Credentials and Certificates of Competency, which are traceable to national and international standards, thereby validating the skills and knowledge gained. Through rigorous testing and evaluation involving experts, educators, and participants, the study refines the training model to ensure its effectiveness and relevance. The findings indicate that the competency-based training model significantly improves the skills and performance of QMS auditors, leading to more effective audits and continuous quality improvement within organizations. This research contributes to the field by providing a comprehensive, evidence-based approach to developing high-quality training programs for QMS auditors.

Designing Sustainable Drainage Systems as a Tool to Deal with Heavy Rainfall—Case Study of Urmia City, Iran

Heavy rainfall, a natural phenomenon reinforced by climate change and global warming, can cause severe social, economic, and safety impacts. Due to the impact of climate change and global warming, heavy rainfall events have become more frequent and intense in recent years, underscoring the urgent need to develop robust stormwater management systems that can prevent related social, economic, and safety issues. This is of greater importance in developing countries. The present study identified areas in Urmia City, Iran, that require stormwater management to develop a comprehensive understanding of the hydrological processes within the study area and to prevent the subsequent effects of heavy rainfall. For this purpose, a combination of the watershed modeling system (WMS) and stormwater management model (SWMM) was employed. Also, three possible scenarios that could be implemented to address the issue of water flow in the medium were proposed. Results indicated that the scenario involving the application of a vegetative swale was the most promising solution. Overall, the results of the present study offer a valuable framework for decision-makers in regions facing heavy rainfalls to effectively manage and minimize the adverse impacts of such events.

Model for Global Quality Management System in System of Systems

This study inaugurates an innovative field of research for Global Quality Management System (G-QMS) in System of Systems (SoS), integrating emerging and rapidly evolving disciplines of QMS, SoS Globalization, and Systems approaches, chiefly Systems Thinking. This manuscript introduces, for the first time, a conceptual model for G-QMS in sectors of SoS, developed from an extensive field study conducted in real SoS global organizations, employing the Grounded Theory methodology. We found that this model can be described by two separate supra entities, despite their extensive interrelationships. This manuscript focuses on the first supra entity, which constitutes the foundation for understanding the second supra entity. The model pertaining to the first supra entity, named G-QMS of G-Organization in Sectors of SoS, is introduced through a detailed description of its structural principles. Additionally, a detailed description of its complementary aspects and elements is provided, which condenses these principles into a complete conceptual model picture. This field of research is highly significant for such organizations. These organizations typically maintain leading and advanced quality bodies, especially in comparison to the broader industry. Therefore, the G-QMS model developed through this research can offer substantial contributions to these organizations, but also to all other global organizations.

Reflection on Strengthening Ideological and Political Education in Higher Education under the Credit System

The credit system is one of the important measures for deepening teaching reforms in Chinese universities. It meets the needs of cultivating high-quality talents for society and adapting to the socialist market economy. In the context of global talent competition, the implementation of the credit system in higher education poses significant challenges to ideological and political education for university students. Therefore, ideological and political education in universities needs to adapt to the demands of social and era development. University teachers should not only comply with the management model of the credit system but also actively explore new approaches to ideological and political education for university students under the credit system conditions.

Wind power forecasting using a GRU attention model for efficient energy management systems

Wind power forecasting using a GRU attention model for efficient energy management systems

Blockchain-based Formal Model for Food Supply Chain Management System

Blockchain-based Formal Model for Food Supply Chain Management System

A novel hybrid electrochemical equivalent circuit model for online battery management systems

Accurate battery modeling and parameter identification play pivotal roles in ensuring safety and reliability across the entire battery life cycle. Equivalent circuit models (ECM) are convenient but do not represent physical characteristics well; in contrast, electrochemical models with strong physical meaning are hard to parameterizing in an online setting. To address these challenges, this paper introduces a novel hybrid electrochemical Equivalent Circuit Model (eECM), which integrates electrochemical processes into an ECM, representing slow-dynamic internal processes with a simplified representation of solid- and liquid-phase diffusion; fast-dynamics are represented by ECM terms. The model is supported by an Adaptive Extended Kalman Filter (AEKF) to manage battery state changes and mitigate noise. To enhance parameter identification, a Fisher information matrix-enhanced Variable Forgetting Factor Recursive Least Squares (Fisher-VFFRLS) approach is employed, guided by the Cramér–Rao bound for identifying the most sensitive data points directly from the discharge cycle. Electrochemical parameters are determined via post-charging rest via a Genetic Algorithm (GA). The proposed methodology is validated on three dynamic cycles—DST, US06, and FUDS-demonstrates the effectiveness of the proposed eECM and parameter identification strategy, with maximum Root Mean Square Error (RMSE) for terminal voltage and State of Charge (SoC) estimation below 0.0076 and 0.0122, respectively.