共查询到20条相似文献，搜索用时 171 毫秒
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罗金梅 《大科技．科学之谜》2013,(22):65-66
本文首先从周期检验、性能试验以及产品验收试验等方面简述了电能表校验与日常维护的工作内容,其次,重点介绍了电能表的现场校验的重点内容,然后,介绍了电能表现场校验的调整方法,最后,对电能表日常维护的要点做了简要的说明,希望对相关人员在电能表检查和维护方面的工作起到一定的帮助作用。 相似文献
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电能表装置误差将直接影响供电收入。因此,加强电能表装置的现场校验工作,提高电能表的精准度调教,是提高电力企业经济效益的重要对策。本文分析了电能表装置误差产生的原因,并就其现场校验工作提出几点思考意见。 相似文献
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电能表现场校验工作的重点主要包括监测电能表的误差、互感器的合成误差等等,为了保证电能计算装置的准确可靠,就必须深入了解引起误差变化的主要原因。本文对电能计算误差的原因进行分析,并对现场校验工作提出几点想法。 相似文献
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一切测量结果都不可避免的具有不确定性,一般电能表的不确定性评定仅对普通机械表、电子表而言,而作为省级计量机构要对地（州）市所的电能表检定装置进行量传,其测量的可信度是计量工作者所关注的。本文介绍了不确定度的定义和计算方法,对交流电能表检定装置的不确定度进行了分析,并列举了0.1级三相电能表检定装置的具体计算实例,可供建标和比对工作中参考。 相似文献
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绝缘安全用具的合格与否关系到作业人员的人身安全。其中，绝缘手套和绝缘靴需每半年校验一次，而这两者又往往数量众多，常规方法效率低下。本文介绍了一种新型的高效率安全用具校验装置，大大简化了试验人员的工作，同时增强了安全性。 相似文献
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为解决容性设备在线监测装置计量性校验时效率低、抗干扰能力差等问题,提出一种新型在线监测装置校验方法。利用FM调频收发信机对参考电压进行无线传输,接收端接收电压调理后根据预设指令和波形数据输出电流控制命令和相位控制命令,产生与电力系统的运行电压频率同步但存在一定相位的电流信号。将该电流信号耦合到容性设备在线监测装置的穿心式电流传感器,比较耦合前后装置监测值的变化量与理论上标准值的误差,来判断容性设备在线监测装置计量的有效性。通过模拟现场试验,校验结果与原标准校验方法所得的结果相近,满足现场校验的要求,可以替代原标准校验方法。 相似文献
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电涌保护器安全巡检仪是为了满足对电涌保护器进行常规和定期快速检测工作需要而开发的,是一款集合了多种仪表测试功能的一款多功能、智能型便携仪表.对电涌保护器安全巡检仪的原理及设计思路作以介绍的同时,对仪表的硬件设计、软件设计,以及主要元件的选择等问题作了简单介绍,并说明了系统设计、调试时应该注意的问题. 相似文献
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黄霄航 《科技成果管理与研究》2009,(3):78-81
本文主要关于泄漏电流测量仪的检测结果不确定度的分析评定方法进行研究。家电、电线电缆、电力、医疗器械等行业普遍使用泄漏电流测量仪进行泄电的安全测量,在计量管理中泄漏电流测量仪用于安全防护用的强检计量器具,使用单位要求提供其测量结果不确定评定。现提供在工作中总结的不确定度分评定方法析与大家共同探讨。 相似文献
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随着科学技术和社会经济的不断发展,我国的电力已经成为了了一种非常重要的能源,长期以来,我国的都采用人工抄读电表的方式来计费,这种方式在一定程度上浪费了很多的人力和资源,随着国民经济的不断发展,智能电能表作为一种的新型的绿色能源电能表逐渐被推广运用,本文首先介绍了智能电能表的工作原理和特点,然后介绍了智能电能表的功能,最后分析了我国智能电能表的使用现状和优化方法。 相似文献
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This paper describes the main protocols that are used for fabricating microfluidic devices from glass and silicon. Methods for micropatterning glass and silicon are surveyed, and their limitations are discussed. Bonding methods that can be used for joining these materials are summarized and key process parameters are indicated. The paper also outlines techniques for forming electrical connections between microfluidic devices and external circuits. A framework is proposed for the synthesis of a complete glass/silicon device fabrication flow. 相似文献
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This paper describes a meter for measuring short intervals of time. Full scale deflections of 0.001, 0.1 and 1.0 second can be obtained by the use of a selector switch. This meter will indicate the length of time a contact remains closed, or the interval of time between the closing of one circuit and the opening of another. The device has a linear acale for any chosem range. It measures time by the charge which flows to a condenser during the interval. The charge is found by reading the potential difference 0n the condenser with a sensitive vacuum-tube voltmeter.The theory of the circuit and its advantage over other devices for the same purpose are discussed. 相似文献
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Sajjad Rahmani Dabbagh Fazle Rabbi Zafer Doan Ali Kemal Yetisen Savas Tasoglu 《Biomicrofluidics》2020,14(6)
High-throughput, cost-effective, and portable devices can enhance the performance of point-of-care tests. Such devices are able to acquire images from samples at a high rate in combination with microfluidic chips in point-of-care applications. However, interpreting and analyzing the large amount of acquired data is not only a labor-intensive and time-consuming process, but also prone to the bias of the user and low accuracy. Integrating machine learning (ML) with the image acquisition capability of smartphones as well as increasing computing power could address the need for high-throughput, accurate, and automatized detection, data processing, and quantification of results. Here, ML-supported diagnostic technologies are presented. These technologies include quantification of colorimetric tests, classification of biological samples (cells and sperms), soft sensors, assay type detection, and recognition of the fluid properties. Challenges regarding the implementation of ML methods, including the required number of data points, image acquisition prerequisites, and execution of data-limited experiments are also discussed. 相似文献
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阐述电子设备在一定的工作环境下存在着的人为或自然因素产生的电磁能量,通过一定的途径进入电子电路,从而产生不需要的不良噪声干扰,影响电路的正常工作状态。通过噪声源、噪声耦合及电子装置内部器件存在着的噪声干扰的讨论,找出抑制噪声干扰的常用方法,达到抑制噪声干扰的目的。 相似文献
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Techniques used to prepare clinical samples have been perfected for use in diagnostic testing in a variety of clinical situations, e.g., to extract, concentrate, and purify respiratory virus particles. These techniques offer a high level of purity and concentration of target samples but require significant equipment and highly trained personnel to conduct, which is difficult to achieve in resource-limited environments where rapid testing and diagnostics are crucial for proper handling of respiratory viruses. Microfluidics has popularly been utilized toward rapid virus detection in resource-limited environments, where most devices focused on detection rather than sample preparation. Initial microfluidic prototypes have been hindered by their reliance on several off-chip preprocessing steps and external laboratory equipment. Recently, sample preparation methods have also been incorporated into microfluidics to conduct the virus detection in an all-in-one, automated manner. Extraction, concentration, and purification of viruses have been demonstrated in smaller volumes of samples and reagents, with no need for specialized training or complex machinery. Recent devices show the ability to function independently and efficiently to provide rapid, automated sample preparation as well as the detection of viral samples with high efficiency. In this review, methods of microfluidic sample preparation for the isolation and purification of viral samples are discussed, limitations of current systems are summarized, and potential advances are identified. 相似文献
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《Information processing & management》2023,60(2):103212
The massive number of Internet of Things (IoT) devices connected to the Internet is continuously increasing. The operations of these devices rely on consuming huge amounts of energy. Power limitation is a major issue hindering the operation of IoT applications and services. To improve operational visibility, Low-power devices which constitute IoT networks, drive the need for sustainable sources of energy to carry out their tasks for a prolonged period of time. Moreover, the means to ensure energy sustainability and QoS must consider the stochastic nature of the energy supplies and dynamic IoT environments. Artificial Intelligence (AI) enhanced protocols and algorithms are capable of predicting and forecasting demand as well as providing leverage at different stages of energy use to supply. AI will improve the efficiency of energy infrastructure and decrease waste in distributed energy systems, ensuring their long-term viability. In this paper, we conduct a survey to explore enhanced AI-based solutions to achieve energy sustainability in IoT applications. AI is relevant through the integration of various Machine Learning (ML) and Swarm Intelligence (SI) techniques in the design of existing protocols. ML mechanisms used in the literature include variously supervised and unsupervised learning methods as well as reinforcement learning (RL) solutions. The survey constitutes a complete guideline for readers who wish to get acquainted with recent development and research advances in AI-based energy sustainability in IoT Networks. The survey also explores the different open issues and challenges. 相似文献