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1986, Electronics and Power
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5 pages
1 file
Today's industrial processes generate vast levels of data, in both analogue and digital form, which need constant monitoring and analysis. The data logger has evolved to meet this need, both on its own and as part of a dataacquisition system
A data logger (also data logger or data recorder) is an electronic device that records data over time or in relation to location either with a built in instruments or sensors or via external instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or computer). They generally are small, battery powered, portable, and equipped with a microprocessor, internal memory for data storage, and sensors. Some data loggers interface with a personal computer and utilize software to activate the data logger and view and analyze the collected data, while others have a local interface device (keypad, LCD) and can be used as a stand-alone device.
International Journal of Advanced Research in Computer and Communication Engineering, 2023
An analogue data logger (also known as a data recorder or logger) is an electrical device that captures data over time or in relation to location using either internal instruments and sensors or external instruments and sensors. They partially (but not entirely) depend on a digital processor or computer. They are generally small, battery-powered, portable devices with a microprocessor, internal memory for data storage, and sensors. Some devices can function independently and have a local interface (keypad, LCD). Some data recorders employ software to activate the device, view, and analyse the recorded data when connected to a computer. There are many various types of data loggers, from general-purpose devices used for a wide range of measurement applications to highly specialist devices used for only one kind of environment or application. Although programmability is often found in general-purpose types, many still operate as static machines with few or no customizable options. Electronic data loggers have replaced chart recorders in many applications. The ability of data loggers to automatically and continually collect data is one of its key benefits. In order to measure and record data, data loggers are typically turned on, deployed, and left alone for the length of the monitoring period. This makes it possible to monitor environmental factors like air temperature and relative humidity in order to provide a full and accurate picture.
This paper describes the design of a general purpose data logger that is compatible with a variety of transducers, This paper describes the design of a general purpose data logger that is compatible with a variety of transducers, This paper describes the design of a general purpose data logger that is compatible with a variety of transducers, This paper describes the design of a general purpose data logger that is compatible with a variety of transducers, potentially permitting the measurement and recording of a wide potentially permitting the measurement and recording of a wide potentially permitting the measurement and recording of a wide potentially permitting the measurement and recording of a wide range of phenomena. The recorded data range of phenomena. The recorded data range of phenomena. The recorded data range of phenomena.
Indonesian Journal of Electrical Engineering and Computer Science
A Graphical User Interface (GUI) design was developed to extract data from a data logger. The low-cost data logger was developed using a common pic18f4550 microcontroller. Simple data recording feature is implemented by using the Electrically Erasable Programmable Read-Only Memory (EEPROM) module from the microcontroller unit. The GUI software employed VB.net 2013 and has been tested to work in window 10 environment. Simulation work was performed with temperature and humidity sensors using Proteus VSM software. Upon simulation, the GUI shows its capability of extracting measured data from the data logger and converting the data to a Comma-Separated Values, (CSV) format for further analysis.
Computers & Geosciences, 2000
2006
In spite of new or old planning philosophies, log data preparation has been overlooked by a lot of players in the oil business. We are not speaking about conventional data preparation, such as depth shifting, normalization or editing, for these are very well taken care of in most projects. We want to go a step back. We are talking about the initial phase, even previous to vectorización. Well logs have a large variety of users but each of them has different needs and use different parts of the logs with different goals. Doing a gross generalization, Petrophysicists will go after most curves, use detailed-scaled logs (1:200), and concentrate in the reservoir area; geologists will usually go for SP, GR, resistivity and porosity logs in a reservoir-to-formation scale, using intermediate to large scale logs (1:500 and 1:1000); geophysicists mostly use large scales (1:1000 to 1:5000); and drillers use 1:10.000 or larger scales and mostly GR, density and sonic logs; and so on. If the original digital data exists, every one will be happy, but if only analogical data exist, problems will rise because every specialist will try to get what he or she needs as fast as possible and with the quality that he or she needs without taking into account the needs of other specialists or the organization mid-to-long term needs. No one can blame them since there are deadlines and goals to achieve, but for the next project in the same area it will happen again....and again....and again. At the end the logs are digitized using completely different approaches leading to a chaotic mosaic of pieces of logs that do not match anyone's final needs, the data base becomes a mess and all upcoming projects will always have problems with log data. In this work, a FRONT END LOADING approach is proposed and applied, leading to a group of specifications and best practices to be used as guidelines in well log preparationfor Reservoir/Field/Asset/Corporation well log databases. The application of these guidelines will satisfy the needs of any well log user, optimize database management and improve the productivity of project teams. These best practices are supported by years of time-saving and technical improvements in a large numbers of projects. Time and money invested at the beginning of the projects will become even larger time and money savings at the long run. Introduction Log data preparation is probably the most time-consuming activity in a reservoir characterization project, and it rises exponentially compared to the rest of the information as the number of wells increases. This activity can be subdivided in two groups of tasks, which will be named as follows:Log editing andLog certification. The relation between both is shown in figure 1. Log Editing This group includes all those activities that would be performed if there were curves available in their original digital format generated during acquisition, which do not need to be vectorized from any analog format (files, paper copies, images). Some of these activities are borehole corrections, depth shifting, normalization, curve generation in missing intervals, splicing, etc. Such activities are critical in the reservoir petrophysical evaluation (especially if they are performed on computerized systems), consume more time as the wells are older and represent an area of knowledge in log analysis. Despite its importance, log editing will not be the subject of this paper since, generally, log analysts and/or petrophysicists are in charge of this task, with different levels of detail, for each project. Log Certification This group includes all those activities that are necessary to transfer log data from an analog format (films, paper copies, etc) to a digital format that represents, as accurately as possible, the data obtained during acquisition; in other words, this is a stage where logs are manipulated in order to be edited. For many different reasons, log certification has been overlooked in most companies to simple curve vectorization from the time this activity was performed manually and involved a great deal of time.
2005
This paper reports the findings of an online survey aimed at exploring the use of dataloggers in learning inquiry science and project work in secondary schools and junior colleges. It examines the type of activities which teachers conduct using dataloggers, the support structures ...
2014
This paper presents the development of a simple data logger using Seeeduino Stalker and the data visualization using Processing software. The background of this development is the problems encountered in making a data logger, which must meet the following criteria: able to read data one or more sensors, able to store the data, able to be operated for a long time, even if placed in an area that has no electricity supply. In addition, the data that stored in the data logger should be loaded and displayed on a computer without having to stop the operation of the data logger. In this study, the data logger that meets these criteria has been developed using Seeeduino Stalker hardware and using Processing software for the data visualization.
Academia Mental Health and Well-Being, 2024
Despite the long-claimed harms associated with the intensive use of screen-based technologies, the measures to curb the COVID-19 pandemic in early 2020 promoted increased screen time. We investigated this behavior at two junctures: during lockdowns and after restrictions were eased. Our overarching goal was to deepen our understanding of how intensive screen use correlates with negative and positive mental health outcomes, considering different purposes and circumstances of use. Furthermore, building on infodemics research, we explored the use of trusted sources in information-seeking and the sharing of information, alongside certainty of knowledge and context-related distress. Our specific goal was to analyze whether using perceived trustworthy sources helps individuals cope with uncertainty, notwithstanding the risk of misinformation. Through an online survey conducted in June 2020 (T1, n=327) and repeated in June 2021 (T2, n=300) with Brazilian adults (18+ years), significant correlations emerged from our study: individuals who perceived increased screen time showed higher levels of anxiety, and those who reported greater information sharing showed higher levels of distress; using screens for novel activities correlated with higher levels of well-being; and despite the broad awareness of the online spread of false and misleading content, seeking information ranked as the top purpose for using screens. Surprisingly, individuals who relied on official health channels revealed lower certainty levels and more distress than those who prioritized other information sources. In discussing our findings, we emphasize the need for an approach to health communications and guidance that can effectively help build a healthy information ecosystem for all.
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Science, 2004
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