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AI IN PROJECT MANAGEMENT: EXPLORING THEORETICAL MODELS FOR DECISION-MAKING AND RISK MANAGEMENT 项目管理中的人工智能:探索决策和风险管理的理论模型
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.959
Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi
This paper explores the transformative potential of Artificial Intelligence (AI) in personalized marketing. It highlights how AI can analyze vast amounts of customer data to create targeted messages, recommendations, and real-time interactions that resonate with individual needs and preferences. This personalized approach fosters deeper consumer engagement, leading to increased satisfaction, brand loyalty, and business success.  The paper discusses the future potential of AI in shaping personalized marketing experiences. However, responsible implementation will be paramount in ensuring a positive future for both brands and consumers. Enhanced version of the abstract incorporating additional insights, this paper delves into the transformative power of Artificial Intelligence (AI) in personalized marketing. It explores how AI algorithms can analyze a multitude of customer data points, including purchase history, website behavior, and social media interactions. This rich data empowers brands to create highly targeted messages, recommendations, and real-time interactions that resonate with individual customer needs and preferences. By fostering deeper consumer engagement, AI-powered personalization unlocks a pathway to increased customer satisfaction, brand loyalty, and ultimately, significant business growth. However, the paper acknowledges the ethical considerations that accompany AI implementation. Responsible data practices are paramount, ensuring data security and mitigating bias in AI algorithms to prevent discriminatory marketing practices. Transparency in how data is collected and used builds trust with consumers, fostering a mutually beneficial relationship. Looking ahead, the paper explores the vast future potential of AI in personalized marketing. Imagine AI-powered Chat bot offering personalized product recommendations in real-time, or virtual reality experiences tailored to individual preferences. The future of marketing lies in creating genuine connections with consumers, and AI provides the tools to personalize the customer journey at every touch point. However, navigating the ethical landscape and prioritizing responsible data practices will be crucial in ensuring a positive future for both brands and consumers. Keywords: Artificial Intelligence (AI), Personalized Marketing, Customer Engagement, Customer Data, Marketing Strategy.
本文探讨了人工智能(AI)在个性化营销方面的变革潜力。它强调了人工智能如何分析大量客户数据,以创建有针对性的信息、建议和实时互动,从而与个人需求和偏好产生共鸣。这种个性化方法能促进消费者更深入地参与,从而提高满意度、品牌忠诚度和业务成功率。 本文讨论了人工智能在塑造个性化营销体验方面的未来潜力。然而,负责任的实施对于确保品牌和消费者的积极未来至关重要。本文在摘要的基础上增加了新的见解,深入探讨了人工智能(AI)在个性化营销中的变革力量。它探讨了人工智能算法如何分析大量客户数据点,包括购买历史、网站行为和社交媒体互动。这些丰富的数据使品牌能够创建极具针对性的信息、推荐和实时互动,从而与客户的个人需求和偏好产生共鸣。通过促进消费者更深入的参与,人工智能驱动的个性化为提高客户满意度和品牌忠诚度,并最终实现业务大幅增长开辟了道路。不过,该文件也承认,在实施人工智能的同时也要考虑道德问题。负责任的数据实践至关重要,它可以确保数据安全,减少人工智能算法中的偏见,防止歧视性营销行为。数据收集和使用方式的透明度可以建立与消费者之间的信任,促进互惠互利的关系。展望未来,本文探讨了人工智能在个性化营销方面的巨大潜力。想象一下,人工智能驱动的聊天机器人实时提供个性化产品推荐,或根据个人喜好量身定制虚拟现实体验。营销的未来在于与消费者建立真正的联系,而人工智能提供了在每个接触点个性化客户旅程的工具。然而,要确保品牌和消费者都拥有一个积极的未来,驾驭道德环境和优先考虑负责任的数据实践将至关重要。关键词人工智能(AI)、个性化营销、客户参与、客户数据、营销战略。
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引用次数: 0
INTEGRATING SUSTAINABILITY INTO HVAC PROJECT MANAGEMENT: CHALLENGES AND OPPORTUNITIES 将可持续性纳入暖通空调项目管理:挑战与机遇
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.943
Nwankwo Constance Obiuto, Wisdom Ebirim, Nwakamma Ninduwezuor-Ehiobu, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Ejike David Ugwuanyi
As environmental concerns continue to escalate, the integration of sustainability principles into project management practices has emerged as a crucial endeavor across various industries. In the realm of Heating, Ventilation, and Air Conditioning (HVAC) systems, where energy consumption and environmental impact are significant, the incorporation of sustainable practices presents both challenges and opportunities. This review provides an overview of the challenges and opportunities associated with integrating sustainability into HVAC project management. Challenges in integrating sustainability into HVAC project management stem from various factors, including technological limitations, cost considerations, and organizational barriers. Technologically, the adoption of sustainable HVAC solutions often requires investments in advanced equipment and systems, which may not always be readily available or affordable for all projects. Additionally, the upfront costs of implementing sustainable practices can be perceived as prohibitive, especially in industries where budget constraints are prevalent. Moreover, organizational inertia and resistance to change pose significant challenges, as stakeholders may be hesitant to deviate from traditional HVAC methodologies. Despite these challenges, there exist ample opportunities for integrating sustainability into HVAC project management. Advancements in technology, such as the development of energy-efficient HVAC systems and renewable energy integration, provide opportunities to reduce environmental impact while enhancing operational efficiency. Furthermore, the growing emphasis on green building certifications, such as LEED (Leadership in Energy and Environmental Design), incentivizes the adoption of sustainable HVAC practices by offering recognition and financial benefits to projects that meet stringent sustainability criteria. Moreover, the increasing awareness of environmental issues and regulatory requirements underscores the importance of integrating sustainability into HVAC project management. By aligning with regulatory standards and industry best practices, organizations can mitigate risks associated with non-compliance while enhancing their reputation as environmentally responsible entities. While challenges persist, the integration of sustainability into HVAC project management presents significant opportunities for organizations to mitigate environmental impact, enhance operational efficiency, and foster a culture of innovation. By addressing these challenges proactively and leveraging available opportunities, organizations can position themselves as leaders in sustainable HVAC project management. Keywords: HVAC, Project Management, Challenges, Sustainability, Review.
随着环境问题的不断升级,将可持续发展原则融入项目管理实践已成为各行各业的一项重要工作。在暖通空调(HVAC)系统领域,能源消耗和环境影响都很大,因此将可持续发展实践融入其中既是挑战也是机遇。本综述概述了将可持续发展融入暖通空调项目管理的相关挑战和机遇。将可持续发展融入暖通空调项目管理的挑战来自各种因素,包括技术限制、成本考虑和组织障碍。在技术上,采用可持续暖通空调解决方案通常需要对先进的设备和系统进行投资,但并非所有项目都能轻易获得或负担得起这些设备和系统。此外,实施可持续实践的前期成本可能会被认为过高,尤其是在预算普遍紧张的行业。此外,组织惰性和对变革的抵制也构成了巨大的挑战,因为利益相关者可能会对偏离传统的暖通空调方法犹豫不决。尽管存在这些挑战,但将可持续发展融入暖通空调项目管理的机会仍然很多。技术的进步,如节能暖通空调系统的开发和可再生能源的整合,为在提高运行效率的同时减少对环境的影响提供了机会。此外,人们越来越重视绿色建筑认证,如 LEED(能源与环境设计先锋奖),通过为符合严格的可持续发展标准的项目提供认可和经济利益,鼓励采用可持续暖通空调实践。此外,人们对环境问题和监管要求的认识不断提高,这也凸显了将可持续发展融入暖通空调项目管理的重要性。通过与监管标准和行业最佳实践保持一致,企业可以降低与违规相关的风险,同时提高其作为对环境负责的实体的声誉。虽然挑战依然存在,但将可持续发展融入暖通空调项目管理为企业减轻环境影响、提高运营效率和培养创新文化提供了重要机遇。通过积极应对这些挑战并利用现有机会,企业可以将自己定位为可持续暖通空调项目管理的领导者。关键词:暖通空调暖通空调,项目管理,挑战,可持续性,综述。
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引用次数: 0
CARBON CAPTURE AND UTILIZATION (CCU): A REVIEW OF EMERGING APPLICATIONS AND CHALLENGES 碳捕获与利用(CCU):新兴应用与挑战综述
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.949
Ifeanyi Onyedika Ekemezie, Wags Numoipiri Digitemie
As the global community grapples with the urgent need to mitigate the impacts of climate change, Carbon Capture and Utilization (CCU) has emerged as a promising and multifaceted strategy to address carbon emissions. This review paper provides a comprehensive examination of the current state of CCU technologies, focusing on both the emerging applications and the challenges inherent in their implementation. The first section offers an overview of diverse carbon capture methods, ranging from pre-combustion to direct air capture, highlighting key advancements in technologies such as chemical absorption, membrane separation, and adsorption. Subsequently, the paper delves into the various pathways of carbon utilization, exploring applications in the production of fuels, carbon-based materials, and chemical synthesis. Notable breakthroughs in power-to-gas technologies, utilization in construction materials, and industrial applications are discussed in detail. The core of the review is dedicated to unveiling the emerging applications of CCU, with a specific emphasis on its role in agriculture and soil enhancement, integration with renewable energy systems, and collaboration with other industries. The potential economic and environmental benefits of these applications are explored to underscore the transformative impact of CCU on sustainable development. However, the journey towards widespread CCU adoption is not without challenges. This paper identifies and analyzes technical hurdles related to efficiency, scalability, and cost-effectiveness. Additionally, it examines the regulatory, policy, and societal challenges that may hinder the seamless integration of CCU technologies. Case studies of successful CCU projects provide practical insights, emphasizing lessons learned and best practices. The paper concludes by outlining future prospects and opportunities in the field of CCU, emphasizing the need for continued research, development, and international collaboration. It calls for a concerted effort to overcome challenges and harness the full potential of CCU in contributing to global carbon reduction goals. This comprehensive review aims to serve as a valuable resource for researchers, policymakers, and industry professionals involved in climate change mitigation, providing a nuanced understanding of the current landscape, opportunities, and challenges associated with Carbon Capture and Utilization. Keywords: Carbon Capture and Utilization (CCU), Applications, Challenges.
全球社会都在努力应对减缓气候变化影响的迫切需求,碳捕集与利用(CCU)已成为解决碳排放问题的一项前景广阔的多层面战略。本综述文件全面考察了 CCU 技术的现状,重点关注新兴应用及其实施过程中固有的挑战。第一部分概述了从预燃烧到直接空气捕集等各种碳捕集方法,重点介绍了化学吸收、膜分离和吸附等技术的主要进展。随后,论文深入探讨了碳利用的各种途径,探讨了碳在燃料生产、碳基材料和化学合成中的应用。文中详细讨论了从电力到燃气技术、建筑材料利用和工业应用方面的显著突破。综述的核心内容是揭示 CCU 的新兴应用,特别强调了 CCU 在农业和土壤改良、与可再生能源系统集成以及与其他行业合作中的作用。探讨了这些应用的潜在经济和环境效益,以强调 CCU 对可持续发展的变革性影响。然而,CCU 的广泛应用并非没有挑战。本文指出并分析了与效率、可扩展性和成本效益有关的技术障碍。此外,本文还探讨了可能阻碍 CCU 技术无缝集成的监管、政策和社会挑战。成功的 CCU 项目案例研究提供了实用的见解,强调了经验教训和最佳实践。论文最后概述了 CCU 领域的未来前景和机遇,强调了继续研究、开发和国际合作的必要性。报告呼吁各方共同努力,克服挑战,充分发挥 CCU 的潜力,为实现全球碳减排目标做出贡献。本综述旨在为研究人员、政策制定者和参与减缓气候变化的行业专业人士提供宝贵的资源,让他们对碳捕集与利用的现状、机遇和挑战有一个细致入微的了解。关键词碳捕集与利用(CCU) 应用 挑战
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引用次数: 0
HYBRID POWER SYSTEMS IN MINING: REVIEW OF IMPLEMENTATIONS IN CANADA, USA, AND AFRICA 采矿业混合动力系统:加拿大、美国和非洲实施情况回顾
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.954
Femi Oluwatoyin Omole, Oladiran Kayode Olajiga, Tosin Michael Olatunde
This comprehensive exploration delves into Hybrid Power Systems (HPS), investigating their components, technologies, economic considerations, environmental impacts, and technological challenges. Integrating renewable and traditional sources in HPS emerges as a transformative solution for sustainable energy. Economic analyses reveal initial costs offset by long-term benefits. At the same time, environmental impacts demonstrate a substantial reduction in greenhouse gas emissions and resource preservation. Technological challenges, including intermittency and system optimization, are addressed through advanced storage, smart grids, and microgrid technologies. The abstract concludes with recommendations emphasizing research, education, policy support, international collaboration, public awareness, and ongoing technological innovation. As HPS stands at the forefront of sustainable energy solutions, this comprehensive study navigates the complex terrain, offering insights and guidance for a future where HPS plays a pivotal role in a resilient, efficient, and environmentally conscious global energy landscape. Keywords: Hybrid Power Systems, Renewable Energy, Sustainability, Technological Challenges.
本报告全面探讨了混合动力系统(HPS),研究了其组成部分、技术、经济因素、环境影响和技术挑战。在混合动力系统中整合可再生能源和传统能源是实现可持续能源的变革性解决方案。经济分析表明,初期成本被长期效益所抵消。同时,环境影响表明,温室气体排放和资源保护大幅减少。技术挑战,包括间歇性和系统优化,通过先进的存储、智能电网和微电网技术得以解决。摘要最后提出了强调研究、教育、政策支持、国际合作、公众意识和持续技术创新的建议。由于 HPS 站在可持续能源解决方案的前沿,本综合研究为复杂的地形导航,为未来 HPS 在弹性、高效和环保的全球能源格局中发挥关键作用提供见解和指导。关键词混合动力系统、可再生能源、可持续性、技术挑战。
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引用次数: 0
THE EVOLUTION OF QUALITY ASSURANCE AND SERVICE IMPROVEMENT IN SATELLITE TELECOMMUNICATIONS THROUGH ANALYTICS: A REVIEW OF INITIATIVES AND THEIR IMPACTS 通过分析改进卫星电信的质量保证和服务:对各项举措及其影响的审查
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.958
Nneka Adaobi Ochuba, David Olanrewaju Olutimehin, Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo
Satellite telecommunications have undergone significant evolution, driven by the need for enhanced quality assurance and service improvement. This paper provides a comprehensive review of the initiatives undertaken in this field, focusing on the integration of analytics to achieve these objectives. Over the years, advancements in satellite technology have enabled the collection of vast amounts of data, presenting both challenges and opportunities. Leveraging analytics has emerged as a crucial strategy to extract actionable insights from this data, thereby enhancing quality assurance and service delivery. The review encompasses various aspects of quality assurance and service improvement in satellite telecommunications, including network performance monitoring, fault detection and resolution, capacity planning, and customer experience management. It examines how analytics techniques such as machine learning, predictive modeling, and anomaly detection have been applied to address specific challenges within each of these domains. Furthermore, the paper evaluates the impacts of these initiatives on the satellite telecommunications industry. By leveraging analytics, stakeholders have been able to optimize network operations, minimize downtime, and proactively address potential issues before they escalate. Additionally, improved service quality has led to enhanced customer satisfaction and retention, driving business growth and competitiveness in the market. Overall, this review underscores the transformative role of analytics in advancing quality assurance and service improvement in satellite telecommunications. It highlights the importance of continued innovation and investment in analytics-driven solutions to meet the evolving demands of the industry and deliver superior experiences to end-users. Keywords: Assurance, Analytics, Satellite, Telecommunication, Impacts, Review.
在加强质量保证和服务改进需求的推动下,卫星通信经历了重大演变。本文全面回顾了在这一领域采取的举措,重点介绍了如何整合分析技术来实现这些目标。多年来,卫星技术的进步使得大量数据得以收集,这既是挑战也是机遇。利用分析技术已成为从这些数据中提取可行见解,从而加强质量保证和服务交付的重要战略。本综述涵盖卫星通信质量保证和服务改进的各个方面,包括网络性能监测、故障检测和解决、容量规划和客户体验管理。论文探讨了机器学习、预测建模和异常检测等分析技术如何应用于解决上述各领域的具体挑战。此外,论文还评估了这些举措对卫星电信业的影响。通过利用分析技术,利益相关者能够优化网络运营,最大限度地减少停机时间,并在潜在问题升级之前主动加以解决。此外,服务质量的改善也提高了客户满意度和忠诚度,推动了业务增长,增强了市场竞争力。总之,本次审查强调了分析技术在推进卫星通信质量保证和服务改进方面的变革作用。它强调了在分析驱动的解决方案方面持续创新和投资的重要性,以满足行业不断发展的需求,并为最终用户提供卓越的体验。关键词保证、分析、卫星、电信、影响、评论。
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引用次数: 0
A COMPREHENSIVE REVIEW ON AI-DRIVEN OPTIMIZATION TECHNIQUES ENHANCING SUSTAINABILITY IN OIL AND GAS PRODUCTION PROCESSES 全面评述人工智能驱动的优化技术,提高油气生产过程的可持续性
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.950
Chuka Anthony Arinze, Boma Sonimiteim Jacks
The oil and gas industry plays a pivotal role in global energy supply but faces increasing pressure to enhance sustainability amidst environmental concerns and economic constraints. This comprehensive review explores the integration of artificial intelligence (AI) in optimizing oil and gas production processes to achieve sustainability goals. The paper examines various AI-driven optimization techniques, including machine learning algorithms, genetic algorithms, and neural networks, and their application in different stages of oil and gas production, such as exploration, drilling, production, and distribution. By leveraging AI, operators can improve efficiency, reduce environmental impact, and maximize resource recovery. Furthermore, the review delves into specific case studies and implementations of AI-driven optimization in real-world oil and gas operations, highlighting their efficacy in minimizing greenhouse gas emissions, optimizing water usage, and mitigating operational risks. Additionally, the paper discusses challenges and limitations associated with AI adoption in the industry, such as data availability, model interpretability, and regulatory compliance. The integration of AI-driven optimization techniques not only enhances sustainability but also contributes to cost reduction and operational excellence in oil and gas production. By optimizing production processes, operators can achieve higher yields with fewer resources, leading to increased profitability and long-term viability in a rapidly evolving energy landscape. Overall, this review provides valuable insights into the transformative potential of AI-driven optimization techniques in fostering sustainability and resilience in oil and gas production processes, paving the way for a more efficient and environmentally responsible industry. Keywords: AL, Oil and Gas, Production, Optimization, Sustainability, Review, Process.
石油和天然气行业在全球能源供应中发挥着举足轻重的作用,但在环境问题和经济限制下,该行业面临着越来越大的提高可持续性的压力。本综述探讨了人工智能(AI)在优化石油和天然气生产过程中的应用,以实现可持续发展目标。本文探讨了各种人工智能驱动的优化技术,包括机器学习算法、遗传算法和神经网络,以及它们在勘探、钻井、生产和分销等不同油气生产阶段的应用。通过利用人工智能,运营商可以提高效率,减少对环境的影响,并最大限度地提高资源回收率。此外,本综述还深入探讨了人工智能驱动的优化在现实世界石油和天然气运营中的具体案例研究和实施,强调了它们在最大限度减少温室气体排放、优化用水和降低运营风险方面的功效。此外,本文还讨论了行业采用人工智能所面临的挑战和局限性,如数据可用性、模型可解释性和监管合规性。集成人工智能驱动的优化技术不仅能提高可持续发展能力,还有助于降低成本,实现油气生产的卓越运营。通过优化生产流程,运营商可以用更少的资源获得更高的收益,从而在快速发展的能源环境中提高盈利能力和长期生存能力。总之,本综述就人工智能驱动的优化技术在促进石油和天然气生产流程的可持续性和适应性方面的变革潜力提供了宝贵的见解,为打造一个更高效、对环境更负责任的行业铺平了道路。关键词AL、石油和天然气、生产、优化、可持续性、回顾、过程。
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引用次数: 0
THEORETICAL INSIGHTS INTO SECURING REMOTE MONITORING SYSTEMS IN WATER DISTRIBUTION NETWORKS: LESSONS LEARNED FROM AFRICA-US PROJECTS 确保配水管网远程监控系统安全的理论见解:从非洲-美国项目中汲取的经验教训
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.953
Fatai Adeshina Adelani, Enyinaya Stefano Okafor, Boma Sonimiteim Jacks, Olakunle Abayomi Ajala
This review paper delves into the critical realm of securing remote monitoring systems within water distribution networks, illuminating theoretical insights and practical lessons gleaned from collaborative projects between Africa and the United States. Given the pivotal role of water distribution networks in public health and safety, integrating remote monitoring systems offers substantial benefits in operational efficiency and resource management. However, this integration also introduces significant security vulnerabilities that pose risks to critical infrastructure data's integrity, availability, and confidentiality. Through a comprehensive analysis, this paper explores the multifaceted security challenges inherent in these systems, underscores the importance of robust theoretical frameworks for cybersecurity, and highlights effective security practices derived from international collaboration projects. It proposes principles for designing, implementing, and managing secure systems, emphasizing the necessity of defence-in-depth strategies, the principle of least privilege, and the critical role of continuous monitoring and adaptive response mechanisms. Furthermore, it identifies ongoing challenges and future directions for research, stressing the dynamic nature of cybersecurity threats and the potential of emerging technologies to fortify security measures. The paper advocates for sustained collaborative efforts and research to navigate the evolving landscape of security challenges in water distribution networks, ensuring their resilience against threats. Keywords: Remote Monitoring Systems, Water Distribution Security, Cybersecurity Frameworks.
本综述深入探讨了确保配水管网远程监控系统安全的关键领域,阐明了从非洲和美国合作项目中获得的理论见解和实践经验。鉴于配水管网在公共卫生和安全方面的关键作用,整合远程监控系统可在运行效率和资源管理方面带来巨大效益。然而,这种整合也带来了重大的安全漏洞,对关键基础设施数据的完整性、可用性和保密性构成风险。本文通过全面分析,探讨了这些系统固有的多方面安全挑战,强调了网络安全强大理论框架的重要性,并重点介绍了国际合作项目中的有效安全实践。报告提出了设计、实施和管理安全系统的原则,强调了深度防御战略的必要性、最小特权原则以及持续监控和适应性响应机制的关键作用。此外,论文还指出了当前的挑战和未来的研究方向,强调了网络安全威胁的动态性质以及新兴技术在强化安全措施方面的潜力。本文提倡持续开展合作与研究,以应对配水管网中不断变化的安全挑战,确保其抵御威胁的能力。关键词远程监控系统、配水安全、网络安全框架。
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引用次数: 0
THEORETICAL FRAMEWORKS OF ECOPFM PREDICTIVE MAINTENANCE (ECOPFM) PREDICTIVE MAINTENANCE SYSTEM ecopfm 预测性维护(ecopfm)预测性维护系统的理论框架
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.946
Emmanuel Augustine Etukudoh
The Frameworks of EcoPFM Predictive Maintenance (PM) System presents a novel approach to maintenance optimization within eco-friendly power facilities, addressing the critical need for sustainable, efficient asset management. This paper introduces an integrated framework leveraging advanced predictive analytics, machine learning algorithms, and Internet of Things (IoT) technology to enable proactive maintenance interventions based on real-time data insights. Focusing on the context of the United States it highlights the significance of implementing such a system in the realm of eco-friendly energy infrastructure. The automotive and heavy-duty truck industries in the United States grapple with the challenge of optimizing maintenance strategies to ensure vehicle reliability, safety, and environmental sustainability. Traditional maintenance approaches, primarily reactive or scheduled maintenance, fall short in addressing the complexities of modern vehicle operations. The U.S. Department of Transportation reports that heavy-duty trucks transport approximately 70% of the nation's freight by weight, underscoring the sector's critical role in the economy. However, inefficiencies in maintenance strategies contribute to significant economic and operational setbacks. According to the American Transportation Research Institute, unscheduled truck maintenance and repairs are leading operational costs for fleets, with an average expense of 16.7 cents per mile in 2020, highlighting the financial strain of current maintenance practices. In the United States, the demand for eco-friendly power solutions is rapidly increasing, driven by a growing awareness of environmental sustainability and the imperative to reduce carbon emissions. As the nation transitions towards renewable energy sources and eco-friendly power facilities, the effective management of these assets becomes paramount to ensuring reliability, performance, and longevity. The EcoPFM PM System integrates diverse data sets sourced from eco-friendly power facilities across the USA, encompassing historical operational data, sensor readings, and environmental parameters. Through predictive analytics, the system identifies patterns and trends within these data sets to forecast equipment failures and performance degradation accurately. By prioritizing maintenance tasks based on risk assessment models and condition monitoring, the system enables organizations to optimize resource allocation, minimize downtime, and extend asset lifespan. Embracing the Frameworks of EcoPFM Predictive Maintenance System holds immense promise for organizations operating eco-friendly power facilities in the United States. By harnessing data-driven insights and proactive maintenance strategies, this system offers a pathway towards enhanced operational efficiency, cost reduction, and sustainability, ultimately contributing to the advancement of eco-friendly energy infrastructure in the nation. Keywords: Predictive Maintenance, Syst
EcoPFM 预测性维护(PM)系统框架提出了一种在生态友好型电力设施内进行维护优化的新方法,以满足对可持续、高效资产管理的迫切需求。本文介绍了一个综合框架,利用先进的预测分析、机器学习算法和物联网(IoT)技术,在实时数据洞察的基础上实现主动维护干预。该框架以美国为背景,强调了在生态友好型能源基础设施领域实施此类系统的重要意义。美国的汽车和重型卡车行业正努力应对优化维护策略的挑战,以确保车辆的可靠性、安全性和环境的可持续性。传统的维护方法,主要是反应性维护或定期维护,无法应对现代车辆运行的复杂性。美国运输部报告称,按重量计算,重型卡车运输了全国约 70% 的货物,凸显了该行业在经济中的关键作用。然而,维护策略的低效率导致了经济和运营方面的重大挫折。根据美国运输研究所的数据,不定期的卡车维护和修理是车队运营成本的主要来源,2020 年每英里的平均费用将达到 16.7 美分,这凸显了当前维护实践的财务压力。在美国,由于人们对环境可持续性和减少碳排放的认识不断提高,对环保型动力解决方案的需求正在迅速增长。随着国家向可再生能源和环保型电力设施转型,对这些资产进行有效管理成为确保可靠性、性能和使用寿命的关键。EcoPFM PM 系统集成了来自美国环保电力设施的各种数据集,包括历史运行数据、传感器读数和环境参数。通过预测分析,该系统可识别这些数据集的模式和趋势,从而准确预测设备故障和性能下降。通过根据风险评估模型和状态监测确定维护任务的优先级,该系统可帮助企业优化资源分配,最大限度地减少停机时间,并延长资产的使用寿命。EcoPFM 预测性维护系统的框架为美国运营环保型电力设施的企业带来了巨大的前景。通过利用数据驱动的洞察力和积极主动的维护策略,该系统为提高运营效率、降低成本和实现可持续发展提供了一条途径,最终将促进美国生态友好型能源基础设施的发展。关键词预测性维护 系统 ECOPFM 技术
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引用次数: 0
SUSTAINABLE URBAN DESIGN: A REVIEW OF ECO-FRIENDLY BUILDING PRACTICES AND COMMUNITY IMPACT 可持续城市设计:生态友好型建筑实践与社区影响综述
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.955
Femi Oluwatoyin Omole, Oladiran Kayode Olajiga, Tosin Michael Olatunde
Sustainable urban design is a critical component in addressing the challenges posed by rapid urbanization and the increasing strain on natural resources. This paper provides a comprehensive review of eco-friendly building practices and their impact on communities within the context of sustainable urban design. The first section examines the various eco-friendly building practices that contribute to sustainable urban design. This includes the use of renewable energy sources, green building materials, and energy-efficient technologies. The integration of these practices not only reduces the environmental footprint of urban developments but also enhances the overall resilience of the built environment. The second part of the paper focuses on the community impact of sustainable urban design. It explores how these eco-friendly practices can foster a sense of community, improve residents' quality of life, and promote social equity. Sustainable urban design goes beyond environmental considerations; it embraces a holistic approach that prioritizes the well-being of the inhabitants. Furthermore, the paper delves into case studies and examples of successful sustainable urban design projects from around the world. These examples showcase the positive outcomes of implementing eco-friendly building practices, such as improved air and water quality, reduced energy consumption, and the creation of vibrant, walkable neighborhoods. In conclusion, this paper highlights the importance of sustainable urban design in addressing the environmental and social challenges associated with urbanization. By adopting eco-friendly building practices, communities can not only mitigate the impact on the environment but also create healthier, more resilient, and socially inclusive urban spaces. This review serves as a valuable resource for urban planners, architects, and policymakers seeking to promote sustainable development and enhance the overall well-being of urban communities. Keywords: Urban Design, Eco-friendly, Building Practices, Sustainable Design, Review.
可持续城市设计是应对快速城市化和自然资源日益紧张所带来的挑战的重要组成部分。本文在可持续城市设计的背景下,全面回顾了生态友好型建筑实践及其对社区的影响。第一部分探讨了有助于可持续城市设计的各种生态友好型建筑实践。这包括使用可再生能源、绿色建筑材料和节能技术。这些做法的整合不仅减少了城市发展的环境足迹,还增强了建筑环境的整体复原力。论文的第二部分重点关注可持续城市设计对社区的影响。它探讨了这些生态友好型实践如何培养社区意识、提高居民生活质量和促进社会公平。可持续城市设计超越了对环境的考虑;它采用了一种全面的方法,优先考虑居民的福祉。此外,本文还深入研究了世界各地成功的可持续城市设计项目案例。这些实例展示了实施生态友好型建筑实践的积极成果,如改善空气和水质、减少能源消耗以及创建充满活力的步行街区。总之,本文强调了可持续城市设计在应对与城市化相关的环境和社会挑战方面的重要性。通过采用生态友好型建筑实践,社区不仅可以减轻对环境的影响,还可以创造出更健康、更具弹性和社会包容性的城市空间。本综述是城市规划者、建筑师和决策者促进可持续发展和提高城市社区整体福祉的宝贵资源。关键词城市设计 生态友好 建筑实践 可持续设计 综述
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引用次数: 0
A REVIEW OF THEORETICAL FRAMEWORKS FOR ELECTRICAL SAFETY PRACTICES IN WATER TREATMENT FACILITIES: LESSONS LEARNED FROM AFRICA AND THE UNITED STATES 水处理设施电气安全实践理论框架综述:非洲和美国的经验教训
Pub Date : 2024-03-24 DOI: 10.51594/estj.v5i3.951
Fatai Adeshina Adelani, Enyinaya Stefano Okafor, Boma Sonimiteim Jacks, Olakunle Abayomi Ajala
This review paper examines the theoretical frameworks guiding electrical safety practices in water treatment facilities, with a focus on comparative analysis between Africa and the United States. It highlights the importance of electrical safety in mitigating risks associated with the operation of these facilities. It underscores the role of regulatory, cultural, economic, and technological factors in shaping safety practices. By analyzing the regulatory context, theoretical approaches, and challenges and opportunities within these regions, the paper identifies best practices and innovative solutions that can inform global standards for electrical safety. The comparative analysis reveals significant differences in regulatory frameworks, the application of theoretical models, and the adoption of safety practices, offering insights into the adaptability and flexibility required to improve electrical safety outcomes globally. The review emphasizes integrating diverse theoretical perspectives and practical experiences to enhance worldwide electrical safety standards and practices in water treatment facilities. Through this analysis, the paper contributes to the development of comprehensive, adaptable, and globally applicable safety frameworks, highlighting the need for international collaboration and knowledge exchange to achieve optimal safety levels across different regions. Keywords: Electrical Safety, Water Treatment Facilities, Comparative Analysis, Global Standards.
本综述文件探讨了指导水处理设施电气安全实践的理论框架,重点是非洲和美国之间的比较分析。它强调了电气安全在降低与这些设施运行相关的风险方面的重要性。它强调了监管、文化、经济和技术因素在影响安全实践中的作用。通过分析这些地区的监管背景、理论方法以及挑战和机遇,本文确定了可为全球电气安全标准提供参考的最佳实践和创新解决方案。比较分析揭示了监管框架、理论模型应用和安全实践采用方面的显著差异,为在全球范围内改善电气安全成果所需的适应性和灵活性提供了启示。本综述强调将不同的理论观点和实践经验相结合,以提高全球水处理设施的电气安全标准和实践。通过这一分析,本文有助于制定全面、适应性强、全球适用的安全框架,强调了国际合作和知识交流的必要性,以实现不同地区的最佳安全水平。关键词电气安全、水处理设施、比较分析、全球标准。
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引用次数: 0
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Engineering Science & Technology Journal
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