Role of wi-fi data loggers in remote labs ecosystem

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Abstract

All data are important and useful but what is more important is the way this data is used. Wi-Fi Data-logger is a major step towards making use of data for effective management of a remote lab. The purpose is to build a real-time data-logger with Wi-Fi capabilities to remotely monitor the equipment status and environmental conditions inside a remote lab containing high-end electrical and electronic machinery. This device should be adaptive, flexible, easy to use and should give deterministic results to take action. The structure of Wi-Fi data logger consists of two zones: (a) device-level-hardware zone and (b) server-level-software zone. (a)A micro-controller is connected to various sensors such as Temperature, Humidity, Gas, motion sensors and to fault testing lines of the equipment and peripherals. The data is continuously obtained in real time is pumped through Wi-Fi over TCP/IP or UDP protocols to a server computer.(b)It consists of a simple program running on the server computer to receive the data from micro-controller through Wi-Fi and organize it. This program also has a script running which throws up possible a warning in case of malfunctioning and possible solution with step-wise instructions is displayed. Key Outcomes include: (a) Seamless integration of the device with the existing machinery requiring minimal effort (b) Protection to components (c) Over 40% reduction in the time required to detect and fix an issue achieved by impeccable synchronous effort of device and software. Thus, these Wi-Fi data-loggers enhance the way remote labs operate by taking care of safety issues and increasing the stability of the whole remote labs architecture. This technology can pave way for more complex architecture of remote labs and the evolution of Wi-Fi data-logger technology will result in evolution of remote labs.

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APA

Gowripeddi, V. V., Kalyan Ram, B., Pavan, J., Yamuna Devi, C. R., & Sivakumar, B. (2018). Role of wi-fi data loggers in remote labs ecosystem. In Lecture Notes in Networks and Systems (Vol. 22, pp. 235–249). Springer. https://doi.org/10.1007/978-3-319-64352-6_22

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