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A Study on Role of AI in Modern Recruitment -Opportunities and Challenges for HR Professional 人工智能在现代招聘中的作用研究--人力资源专业人员的机遇与挑战
Pub Date : 2024-03-30 DOI: 10.59256/ijsreat.20240402011
Pooja S, Sivakanni S
Artificial Intelligence (AI) is revolutionizing the recruitment landscape, presenting both opportunities and challenges for Human Resources (HR) professionals. This abstract explores the evolving role of AI in modern recruitment and its implications for HR practitioners. AI technologies offer HR professionals a multitude of opportunities to enhance recruitment efficiency, streamline processes, and improve decision-making. From automated resume screening and candidate sourcing to predictive analytics for talent forecasting, AI empowers HR teams to optimize their workflow and allocate resources more effectively. Moreover, AI-driven chatbots and virtual assistants enhance candidate engagement by providing instant responses and personalized interactions, thereby elevating the overall candidate experience. However, the adoption of AI in recruitment also presents challenges that HR professionals must navigate skillfully. Ethical considerations surrounding data privacy, algorithmic bias, and fairness in candidate selection require careful scrutiny and proactive measures to mitigate potential risks. Furthermore, there is a pressing need for HR professionals to develop competencies in data analysis, algorithm management, and ethical AI usage to harness the full potential of these technologies effectively. The study is aimed to find out the opportunities and challenges faced by hr professional by employing AI tools, quantitative data has been collected through surveys using stratified sampling method and for analyzing the data chi-square, correlations and Anova tools has been used. Key Word: Artificial Intelligence (AI), recruitment, Human Resources (HR), opportunities, challenges, efficiency, decision-making, candidate engagement, ethical considerations, data privacy, algorithmic bias.
人工智能(AI)正在彻底改变招聘领域,为人力资源(HR)专业人员带来了机遇和挑战。本摘要探讨了人工智能在现代招聘中不断演变的作用及其对人力资源从业人员的影响。人工智能技术为人力资源专业人员提高招聘效率、简化流程和改善决策提供了大量机会。从自动筛选简历和寻找候选人到人才预测分析,人工智能使人力资源团队能够优化工作流程,更有效地分配资源。此外,人工智能驱动的聊天机器人和虚拟助理通过提供即时响应和个性化互动,提高了候选人的参与度,从而提升了候选人的整体体验。然而,在招聘中采用人工智能也带来了挑战,人力资源专业人员必须巧妙应对。围绕数据隐私、算法偏见和候选人甄选公平性的道德考量需要仔细审查,并采取积极措施来降低潜在风险。此外,人力资源专业人员迫切需要发展数据分析、算法管理和合乎道德地使用人工智能的能力,以有效利用这些技术的全部潜力。本研究旨在找出人力资源专业人员在使用人工智能工具时所面临的机遇和挑战,研究采用分层抽样法通过调查收集定量数据,并使用卡方、相关性和Anova工具对数据进行分析。关键字人工智能(AI)、招聘、人力资源(HR)、机遇、挑战、效率、决策、候选人参与、伦理考虑、数据隐私、算法偏见。
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引用次数: 0
Enhancing Electronic Services: Exploring the Optimal Security of Digital Signature Systems 加强电子服务:探索数字签名系统的最佳安全性
Pub Date : 2024-03-27 DOI: 10.59256/ijsreat.20240402009
V. P. Sushma, A. Suresh Kumar
: E-government, e-learning, e-shopping, and e-voting are examples of electronic processes whose efficacy depends on the security, legitimacy, and integrity of the data that is sent back and forth between users. Sensitive material must be extensively vetted by its intended recipient and digitally signed by its original sender in order to meet these benchmarks. Digital signature systems, which are based on intricate cryptographic formulas, are necessary to guarantee the dependability of these electronic services. However, a number of variables, like key and block sizes, computational complexity, security settings, and modifications unique to a given application, affect how well these services function. The goal of the present research was to identify the ideal level of security for electronic mechanisms through a thorough investigation of industry-standard digital signature systems by the authors. They also looked into possible uses in many fields to improve comprehension and application in real-world situations. Key Word: EDMS, Digital Signature, HD5 algorithm, SHA algorithm.
:电子政务、电子学习、电子购物和电子投票都是电子程序的例子,其有效性取决于用户之间来回发送数据的安全性、合法性和完整性。敏感资料必须经过目标接收者的广泛审查,并由原始发送者进行数字签名,才能达到这些基准。数字签名系统以复杂的密码公式为基础,是保证这些电子服务可靠性的必要条件。然而,许多变量,如密钥和区块大小、计算复杂性、安全设置以及特定应用的独特修改,都会影响这些服务的功能。本研究的目标是通过作者对行业标准数字签名系统的深入调查,确定电子机制的理想安全级别。他们还研究了许多领域的可能用途,以提高对实际情况的理解和应用。关键字EDMS、数字签名、HD5 算法、SHA 算法。
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引用次数: 0
Enviro Edible: Satisfying Hunger, Minimizing Waste Enviro Edible:满足饥饿,减少浪费
Pub Date : 2024-03-21 DOI: 10.59256/ijsreat.20240402006
Rajathi S, Anushiya Y, Sowmiya M, Abdul Rahman S, Fathima Shehanas R, Dhanush Kumar V
"Enviro Edible" is an innovative food waste management system designed to address the escalating global challenge of food waste. This comprehensive solution integrates technology, community engagement, and sustainable practices to minimize food wastage at various stages of the supply chain. The system employs a multi-faceted approach, encompassing smart inventory management, consumer awareness campaigns, and collaborative efforts with local businesses and charities. Key components include a user-friendly website that empowers consumers to make informed purchasing decisions, reducing the likelihood of excess food in households. Additionally, the system incorporates data analytics for businesses to preventing overstocking and expirations. Real-time analytics enable businesses to identify potential issues and make informed decisions to prevent food spoilage, reduce waste, and improve overall supply chain efficiency. "Enviro Edible" fosters partnerships with local charities and food banks, enabling seamless redirection of surplus food from businesses to those in need. Through real-time tracking and analytics, the system not only minimizes food waste but also creates a positive impact on communities by addressing hunger and promoting sustainable consumption. This food waste management system envisions a future where technology and collective efforts converge to create a more sustainable and responsible approach to food consumption, reducing environmental impact and enhancing social welfare. Keywords: Food Waste Management, User-friendly website, Real- time, Supply chain efficiency, Minimize food waste.
"Enviro Edible "是一个创新的食物浪费管理系统,旨在应对不断升级的全球食物浪费挑战。这一综合解决方案整合了技术、社区参与和可持续实践,在供应链的各个环节最大限度地减少食物浪费。该系统采用了多方面的方法,包括智能库存管理、消费者宣传活动以及与当地企业和慈善机构的合作。该系统的主要组成部分包括一个用户友好型网站,使消费者能够做出明智的购买决定,从而减少家庭食物过剩的可能性。此外,该系统还为企业提供数据分析,以防止库存过多和过期。实时分析使企业能够发现潜在问题并做出明智决策,以防止食品变质、减少浪费并提高供应链的整体效率。"Enviro Edible "促进了与当地慈善机构和食品银行的合作,使企业的剩余食品能够无缝地转给有需要的人。通过实时跟踪和分析,该系统不仅能最大限度地减少食物浪费,还能通过解决饥饿问题和促进可持续消费,对社区产生积极影响。这一食物浪费管理系统设想了一个技术与集体努力相结合的未来,以创造一种更可持续、更负责任的食物消费方式,减少对环境的影响,提高社会福利。关键词食物浪费管理 用户友好型网站 实时 供应链效率 最大限度减少食物浪费
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引用次数: 0
Apple Leaf Disease Prediction Using Deep Learning Models 利用深度学习模型预测苹果叶病
Pub Date : 2024-03-21 DOI: 10.59256/ijsreat.20240402007
Poorna Prakash S, Shanthini M, Amrish Manickraj J, Hariharan A, Naresh S, Suresh kumar A
In India, nearly two lakh people rely on apple production for a living, with apples accounting for approximately 16% of GDP in their respective states. Although apple production is second only to that of other fruits in terms of volume, it generates more revenue. In addition, India ranks fifth in total apple production worldwide. As a result, the apple is a fruit that has a significant impact on our economic situation. Apple productivity is primarily influenced by leaf diseases such as scab, cedar rust, black rot, and others. To prevent apple leaf diseases from spreading throughout the tree, it is critical to detect them in their early stages of infection. We proposed a convolutional neural network methodology to accurately and efficiently detect these leaf diseases. The image pre-processing and augmentation methods help us distinguish the region of interest from the background. We then trained and validated our dataset of apple leaf images by applying deep learning algorithms. The Dense Net algorithm, which has a 98.42% accuracy rate, is used to label the leaf diseases in our model.
在印度,近 20 万人依靠苹果生产为生,苹果约占各邦国内生产总值的 16%。虽然苹果产量仅次于其他水果,但它带来的收入却更多。此外,印度的苹果总产量在全球排名第五。因此,苹果是一种对我们的经济状况有重大影响的水果。苹果的产量主要受疮痂病、雪松锈病、黑腐病等叶片病害的影响。为了防止苹果叶部病害蔓延到整棵树,在感染初期发现病害至关重要。我们提出了一种卷积神经网络方法来准确有效地检测这些叶部病害。图像预处理和增强方法有助于我们从背景中区分出感兴趣的区域。然后,我们应用深度学习算法对苹果叶片图像数据集进行了训练和验证。在我们的模型中,使用了准确率高达 98.42% 的密集网络算法来标记叶片病害。
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引用次数: 0
Smart Ride Connect (Revolutionizing Bus Pass Management through Innovative Transportation Solutions) 智能乘车连接(通过创新交通解决方案革新巴士通行证管理)
Pub Date : 2024-03-21 DOI: 10.59256/ijsreat.20240402008
Yoganayagi K, Suresh Kumar A, Vasanthkumar S, Prabanjan S, Madasamy I
Smart Ride Connect introduces aparadigm shift in bus pass management by harnessing the power ofQrCodetechnology.Thesystemaimstostreamlinethecumbersomeprocessofissuing, validating, and managing bus passes, thereby enhancing the over all efficiency and user experience of public transportation systems. By providing personalized QR Code-enabled passes with essential user information and validity details encoded within, Smart Ride Connect ensures seamless access to transportation services while empowering administrators with real-time insights and control over the system Keywords: Bus pass managements, QR Code technology, Streamline, Issuing, Public transportation, QR Code-enabled passes, Validity details
智能乘车连接系统(Smart Ride Connect)利用 QR 码技术的强大功能,实现了公交卡管理模式的转变。该系统旨在简化繁琐的公交卡发放、验证和管理流程,从而提高公共交通系统的整体效率和用户体验。智能乘车连接 "系统提供个性化的 QR 码公交卡,并在卡内编码用户基本信息和有效期详情,从而确保无缝接入交通服务,同时赋予管理员实时洞察和控制系统关键字的能力:公共汽车通行证管理、QR 码技术、简化、发放、公共交通、QR 码通行证、有效期详情
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引用次数: 0
Harmonic Mitigation for Enhancing Grid-Integrated Photo voltaic System Power Quality: A Review 缓解谐波以提高并网光伏系统电能质量:综述
Pub Date : 2024-03-13 DOI: 10.59256/ijsreat.20240402004
Prakash Kumar Dewangan, Mithilesh Singh
With the growing integration of renewable energy sources, such solar energy systems into electrical grids, power quality issues emerge from possible harmonic distortions. This study analyzes the effectiveness of grid-integrated photovoltaic systems and discusses harmonic mitigation to improve electricity quality. Power quality can be negatively impacted by harmonic distortion due to voltage swings, higher losses, and interference with delicate equipment. As a result, efficient and dependable PV system functioning inside the grid depends on the implementation of effective mitigation techniques. We examine a range of mitigation strategies, such as hybrid solutions, active filters, and passive filters, each with unique benefits and drawbacks in terms of expense, intricacy, and efficiency. The effects of integrating PV systems on grid stability, voltage regulation, and frequency management are also covered in the article, emphasizing the significance of thorough performance analysis. The effectiveness of various harmonic mitigation techniques is assessed by modeling studies and experimental validation, taking into account variables including system efficiency, dependability, and compliance with international power quality standards. The study also looks at how grid circumstances, PV system layout, and size affect harmonic generation and mitigation needs. The research yields valuable insights that aid in the formulation of strategies aimed at improving power quality and maximizing grid-integrated photovoltaic systems' performance under various operating situations. Keywords: Renewable Energy sources, Shunt Active Power Filter, harmonics, fuzzy logic controller, PID controller.
随着太阳能等可再生能源越来越多地并入电网,可能出现的谐波畸变导致了电能质量问题。本研究分析了并网光伏系统的有效性,并讨论了谐波缓解措施,以提高电能质量。谐波畸变会导致电压波动、损耗增加以及干扰精密设备,从而对电能质量产生负面影响。因此,光伏系统能否在电网内高效可靠地运行,取决于是否采用了有效的缓解技术。我们研究了一系列缓解策略,如混合解决方案、有源滤波器和无源滤波器,每种策略在费用、复杂性和效率方面都有其独特的优点和缺点。文章还介绍了光伏系统集成对电网稳定性、电压调节和频率管理的影响,强调了全面性能分析的重要性。文章通过建模研究和实验验证评估了各种谐波缓解技术的有效性,同时考虑了系统效率、可靠性和是否符合国际电能质量标准等变量。研究还探讨了电网环境、光伏系统布局和规模对谐波产生和缓解需求的影响。这项研究提出了宝贵的见解,有助于制定旨在改善电能质量和最大限度提高并网光伏系统在各种运行情况下的性能的策略。关键词可再生能源、并联有源电力滤波器、谐波、模糊逻辑控制器、PID 控制器。
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引用次数: 0
A Scientific Investigation of Reproduced Knowledge Based Approach in Worldwide Possibilities 基于全球可能性的知识再现方法的科学调查
Pub Date : 2024-03-13 DOI: 10.59256/ijsreat.20240402005
Dr. Vaibhav Sharma
This paper examines parts of man-made thinking, show, ramifications of modernized thinking, history, applications, headway and accomplishments. The field of reproduced insight (ML) is sufficiently vivacious that it is as of now loosening up at a speeding up pace, lying at the convergence of programming and encounters, and at the point of convergence of modernized thinking (man-made awareness) and information science. Late movement in ML has been driven both by the improvement of new learning calculations hypothesis, and by the diligent shoot in the accessibility of colossal extent of information (routinely suggested as "tremendous information") and irrelevant expense assessment. It is the science and arranging of making fast machines, particularly adroit PC programs. It is related with the overall undertaking of utilizing PCs to make heads or tails of human information, yet man-made thinking doesn't need to restrict itself to strategies that are regularly distinguishable. Subsequently, in this paper, we plan to surmise the scholarly improvement of simulated intelligence and ML in finance research, taking on a checking survey joined with an implanted audit to seek after and examine the administrations of these ideas. While no consensual meaning of Motorized thinking (mirrored information) exists, reproduced knowledge is generally portrayed as the assessment of calculations that think about figuring out, reason and development. Keywords: Artificial intelligence, Machine learning, Neural Networks, Natural Language Processing and Knowledge Base System , Virtual Redirection.
本文探讨了人造思维的组成部分、展示、现代化思维的影响、历史、应用、进展和成就。再现洞察力(ML)领域生机勃勃,目前正在加速发展,它处于编程和遭遇的交汇点,也是现代化思维(人造意识)和信息科学的交汇点。新的学习计算假设的改进、巨大信息量(通常被称为 "巨大信息")的可获取性和无关费用评估的快速发展都推动了 ML 的后期发展。它是一门制造快速机器,特别是熟练的 PC 程序的科学和安排。它与利用个人电脑对人类信息进行分析的整体工作相关,但人造思维并不需要局限于定期区分的策略。因此,在本文中,我们计划推测模拟智能和 ML 在金融研究中的学术进步,采取检查调查与植入审计相结合的方式来寻求和研究这些想法的管理。虽然机动化思维(镜像信息)没有一致的含义,但再现知识一般被描述为对思考、推理和发展的计算的评估。关键词:人工智能人工智能、机器学习、神经网络、自然语言处理和知识库系统、虚拟重定向。
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引用次数: 0
Performance Analysis of Positive Output (P/O) Push-Pull Switched Capacitor Converter for High Power Density Applications 用于高功率密度应用的正输出 (P/O) 推挽式开关电容器转换器的性能分析
Pub Date : 2024-03-11 DOI: 10.59256/ijsreat.20240402002
Dr. T. S. Sivakumaran, Henok G Medihen Teklu, Reta Denguise, SKB. Rathika
The micro-power-consumption technique requires high power density DC/ DC converters and power supply sources. In this research, a PI and Fuzzy Logic Controllers for an elementary circuit of positive output (P/O) push-pull switched capacitor converter has developed for high power density applications with high sustainability under enormous line and load disturbances. The voltage lift technique is a popular application in electronic circuit design. The power converter performs DC-DC step-up voltage conversion with high efficiency, high power density and cheap topology in a simple structure. The proposed converter combines both switched-capacitor and voltage lift techniques. Referable to the time varying and switching nature of the power electronic converter their dynamic behavior becomes highly nonlinear. Conventional controllers are incapable of providing excellent dynamic performance and hence the fuzzy logic controller can be used as a feed forward controller for controlling power electronic converters. The control algorithm is developed to ensure tracking of the reference voltage and rejection of system disturbances by successive measurements of the converter output voltage at certain time instants within a conduction period. The simulation of PI and Fuzzy logic controls have been carried out using MATLAB/Simulink software to evaluate the controller’s performances. Keywords: Luo converter, DCDC converter, PI Controller, Fuzzy Controller.
微功耗技术需要高功率密度的直流/直流转换器和电源。在这项研究中,为正输出(P/O)推挽式开关电容器转换器的基本电路开发了一个 PI 和模糊逻辑控制器,用于高功率密度应用,在巨大的线路和负载干扰下具有很高的可持续性。电压提升技术是电子电路设计中的一种流行应用。该电源转换器以简单的结构、高效率、高功率密度和廉价拓扑执行 DC-DC 升压转换。所提出的转换器结合了开关电容器和电压提升技术。由于电力电子转换器的时间变化和开关特性,其动态行为变得高度非线性。传统控制器无法提供出色的动态性能,因此模糊逻辑控制器可用作控制电力电子转换器的前馈控制器。控制算法的开发是为了确保跟踪参考电压,并通过连续测量转换器输出电压在传导周期内的特定时刻来抑制系统干扰。使用 MATLAB/Simulink 软件对 PI 和模糊逻辑控制进行了仿真,以评估控制器的性能。关键词罗氏转换器、DCDC 转换器、PI 控制器、模糊控制器。
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引用次数: 0
Effect of varying stiffness of top foil on the performance of Air foil thrust bearing (AFTB) 顶箔刚度变化对空气箔止推轴承(AFTB)性能的影响
Pub Date : 2024-03-01 DOI: 10.59256/ijsreat.20240402001
H. E. Abhishek, Dr. R. N. Ravikumar
Air foil thrust bearings (AFTB) are essential components in various rotating machinery, such as gas turbines and turbochargers, designed to support higher loads while minimizing friction and wear. The project aims to investigate the effect of varying stiffness of the top foil on the performance of air foil thrust bearings. The stiffness of the top foil is a critical parameter that influences the bearing's load-carrying capacity, stability, and overall efficiency. The geometric parameters like foil geometry, sector angle of top foil, initial angle of top foil and thickness of top foil and operating parameters like runner speed, gap between top foil and runner, will affect the load carrying capacity of the thrust bearing. The study involves both static analysis and dynamic analysis to comprehensively evaluate how changes in top foil stiffness affect the bearing's operational characteristics. The geometric parameters like foil geometry, sector angle of top foil, initial angle of top foil and thickness of top foil are considered for the study. The results of these analyses will be used to validate how the varying geometrical parameters impact the stiffness of the Air foil thrust bearing. This will provide practical insights into the real-world performance of air foil thrust bearings with varying top foil stiffness. The findings of this research will have significant implications for the design and optimization of air foil thrust bearings in various industrial applications. By understanding how changes in top foil stiffness affect the bearing's performance, engineers and researchers can enhance the efficiency and reliability of rotating machinery, ultimately contributing to improved energy efficiency and reduced maintenance costs.
气膜推力轴承 (AFTB) 是燃气轮机和涡轮增压器等各种旋转机械中的重要部件,旨在承受更大载荷的同时最大限度地减少摩擦和磨损。该项目旨在研究顶箔刚度的变化对气箔推力轴承性能的影响。顶箔刚度是影响轴承承载能力、稳定性和整体效率的关键参数。顶箔几何形状、顶箔扇形角、顶箔初始角和顶箔厚度等几何参数以及转轮速度、顶箔与转轮之间的间隙等运行参数都会影响推力轴承的承载能力。研究包括静态分析和动态分析,以全面评估顶箔刚度的变化如何影响轴承的运行特性。研究考虑了顶箔几何形状、顶箔扇形角、顶箔初始角和顶箔厚度等几何参数。这些分析结果将用于验证不同的几何参数如何影响空气箔推力轴承的刚度。这将为具有不同顶箔刚度的气膜推力轴承的实际性能提供实用的见解。这项研究的结果将对各种工业应用中气膜推力轴承的设计和优化产生重大影响。通过了解顶箔刚度的变化如何影响轴承的性能,工程师和研究人员可以提高旋转机械的效率和可靠性,最终有助于提高能源效率和降低维护成本。
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引用次数: 0
Smart Distribution Board with Microcontroller-based Safety Device 带微控制器安全装置的智能配电板
Pub Date : 2024-02-29 DOI: 10.59256/ijsreat.20240401010
Muhammed Haroon, Mubarak Dawood, Nandhana Mohan, Stella Mary Benil, Dr.T Manoj Kumar
The Smart Safety Device for Distribution Boards is an innovative IoT-based solution to enhance electrical safety and efficiency in residential and commercial settings. An inventive Internet of Things (IoT) solution to improve electrical safety and efficiency in home and business settings is the Smart Safety Device for Distribution Boards. This system offers real-time insights and proactive management of electrical systems by integrating problem detection, remote control, and sensor-based monitoring. One of this device's primary functions is sensor-based monitoring, which makes use of voltage and current sensors to continually monitor electrical factors like temperature, voltage levels, and current consumption. Furthermore, sophisticated algorithms examine sensor data to identify possible problems including overcurrent, ground faults, and temperature anomalies. These defects are then instantly alerted to users through visual and auditory cues. Moreover, the system allows for remote access via a mobile application and real-time monitoring of energy usage, which is shown on an LCD screen and helps users optimize energy use. To protect electrical components and maintain safety, the system automatically shuts down in case of serious defects or when energy usage is above predetermined levels. Additionally, by integrating the gadget with the Blynk platform, customers can use a smartphone or tablet to operate electrical devices, receive notifications, and remotely monitor sensor data. All things considered, the distribution boards' Smart Safety Device offers a complete solution to improve electrical safety, maximize energy economy, and facilitate remote control of electrical systems. It gives consumers more access and control over their electrical infrastructure by utilizing IoT technologies, thereby improving safety, dependability, and affordability. Keywords: Smart Safety Device, IoT-based solution, electrical safety, sensor-based monitoring, fault detection, remote control, cost-effectiveness.
配电板智能安全装置是一种基于物联网的创新解决方案,可提高住宅和商业环境中的电气安全和效率。配电板智能安全装置是一种创新的物联网(IoT)解决方案,可提高住宅和商业环境的电气安全和效率。该系统集成了问题检测、远程控制和基于传感器的监控功能,可实时洞察和主动管理电气系统。该设备的主要功能之一是基于传感器的监控,它利用电压和电流传感器持续监控温度、电压水平和电流消耗等电气因素。此外,先进的算法会检查传感器数据,以识别可能存在的问题,包括过流、接地故障和温度异常。这些缺陷会通过视觉和听觉提示立即向用户发出警报。此外,该系统还允许通过移动应用程序进行远程访问,并对能源使用情况进行实时监控,监控结果显示在液晶显示屏上,可帮助用户优化能源使用。为了保护电器元件和确保安全,当出现严重缺陷或能源使用量超过预定水平时,系统会自动关闭。此外,通过将小工具与 Blynk 平台集成,客户可以使用智能手机或平板电脑操作电气设备、接收通知并远程监控传感器数据。综上所述,配电板的智能安全装置提供了一个完整的解决方案,可提高电气安全,最大限度地节约能源,并方便对电气系统进行远程控制。它通过利用物联网技术,让消费者能够更多地访问和控制他们的电力基础设施,从而提高安全性、可靠性和经济性。关键词智能安全设备、基于物联网的解决方案、电气安全、基于传感器的监控、故障检测、远程控制、成本效益。
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引用次数: 0
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International Journal Of Scientific Research In Engineering & Technology
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