Browsing by Author "Ramesh, B."

Filter results by typing the first few letters
Now showing 1 - 5 of 5
  • No Thumbnail Available
    Item
    Situation awareness of deep mining environment using raspberry pi
    (2019) Ramesh, B.; Panduranga, Vittal, K.
    The signal from sensor network helps to check the environmental parameters. Sensors have been employed in many fields such as coal mine safety monitoring, industrial monitoring, and also in healthcare monitoring. In this paper, sensor data collection using raspberry pi is studied. Use of analog to digital converter MCP3008 for connecting analog signal to raspberry pi is also studied. The study is mainly to emphasize the use of different sensors and electronic devices to monitor the parameters in deep mining environment. Copyright 2019 American Scientific Publishers All rights reserved.
  • No Thumbnail Available
    Item
    Situation awareness of deep mining environment using raspberry pi
    (American Scientific Publishers order@aspbs.com, 2019) Ramesh, B.; Vittal, K.
    The signal from sensor network helps to check the environmental parameters. Sensors have been employed in many fields such as coal mine safety monitoring, industrial monitoring, and also in healthcare monitoring. In this paper, sensor data collection using raspberry pi is studied. Use of analog to digital converter MCP3008 for connecting analog signal to raspberry pi is also studied. The study is mainly to emphasize the use of different sensors and electronic devices to monitor the parameters in deep mining environment. © © 2019 American Scientific Publishers All rights reserved.
  • No Thumbnail Available
    Item
    Wireless monitoring and control of deep mining environment using thingspeak and XBEE
    (Springer Science and Business Media Deutschland GmbH, 2020) Ramesh, B.; Vittal, K.P.
    The possibility of remotely monitoring and controlling the deep mining environment using Raspberry Pi is studied in this paper. The use of sensor and thingspeak to get the sensor data in the web and to obtain its graph in real-time is explored. Then the controlling of the raspberry pi with the help of XBee communication and remotely controlling by computer is studied. This is done for the moisture level control by using relay and pump as an example. This can be extended to other type of sensors which are of relevance in the deep mining environment and for internet of things applications. © Springer Nature Switzerland AG 2020.
  • No Thumbnail Available
    Item
    Wireless sensor network for situation awareness in coal mining
    (2018) Ramesh, B.; Vittal, K.P.
    Wireless Sensor Networks (WSNs) are the networks with many distributed sensors which have limited processing capability with wireless connectivity. The data from sensor network helps to monitor the environmental parameters. WSNs has been utilized in many fields such as coal mine safety monitoring, agriculture management, and also in vehicle monitoring. In this paper, sensor data collection using ARM7 microcontroller and Zigbee is studied. Use of Arduino board for the monitoring is also studied. The study is mainly to monitor the parameters in deep mining environment. � 2018 American Scientific Publishers.
  • No Thumbnail Available
    Item
    Wireless sensor network for situation awareness in coal mining
    (American Scientific Publishers order@aspbs.com, 2018) Ramesh, B.; Vittal, K.P.
    Wireless Sensor Networks (WSNs) are the networks with many distributed sensors which have limited processing capability with wireless connectivity. The data from sensor network helps to monitor the environmental parameters. WSNs has been utilized in many fields such as coal mine safety monitoring, agriculture management, and also in vehicle monitoring. In this paper, sensor data collection using ARM7 microcontroller and Zigbee is studied. Use of Arduino board for the monitoring is also studied. The study is mainly to monitor the parameters in deep mining environment. © 2018 American Scientific Publishers.