scholarly journals Design and Implementation of IoT Based Remote Laboratory for Sensor Experiments

Author(s):  
Ramya M V ◽  
Purushothama G K ◽  
Prakash K R

<p class="Default">This article describes the design and implementation of a remote laboratory for learning sensors based experiments and its applications using embedded systems and Internet of Things (IoT) platform. The main objective of this remote laboratory is to enhance the learning on sensors in engineering education and dealing with the industrial automation applications. With the growing IoT platform for automation, the proposed system can monitor the sensor data and allows the learner to work from anywhere and anytime using mobile android application. Thus, learners can develop knowledge on sensors and control algorithms required for the automation industries and then deploy them on the real industrial automation modules.</p>

Author(s):  
Anup Kumar Kolya ◽  
Debasish Mondal ◽  
Alokesh Ghosh ◽  
Subhashree Basu

This paper presents the design and implementation of control strategy for both the speed and direction of a direct current (DC) motor using Android-based application in smart phone. The Raspberry Pi 3 with a motor driver controller has been used to implement the control action via Python-based user-defined programming. The Android application has been developed using Android Developer Tools (ADT) in Java platform. The Android apps work like a client and communicates with Raspberry Pi through wi-fi connectivity. Finally, a small graphical user interface (GUI) has been created in Python in order to interface and control the motor with buttons in GUI. The advantages of GUI are that it is attractive, user friendly, and even a layman can work with the application developed in GUI.


2010 ◽  
Vol 22 (6) ◽  
pp. 702-707
Author(s):  
Javier Alonso ◽  
◽  
Joshué Pérez ◽  
Vicente Milanés ◽  
Carlos González ◽  
...  

In our work on decision and control algorithms for cooperative driving maneuvers developed by the AUTOPIA group of the IAI-CSIC1 in EU project CyberCars-2 (CC2), we focused on defining and developing the software architecture and procedures enabling transparent cooperation between cybercars and dual-mode cars in complex maneuvers tested in the final CyberCars-2 demo. After briefly outlining a common architecture definition, a detailed study of cooperative maneuvers and an analysis of decision and control primitives for cooperative driving, we report on the final demonstration, the data it provided and its control algorithms. The main contributors to this work are: IAI-CSIC, INRIA, and TNO. Note that three different vehicles with different architectures and different control can cooperate using the data exchanged and a common decision algorithm to conduct complex cooperative maneuvers. 1. The Industrial Automation Institute (IAI-CSIC) merged with the Polytechnic University of Madrid to become the Robotics and Automation Center (CAR-UPM-CSIC) on March 1, 2010.


2013 ◽  
Vol 288 ◽  
pp. 223-227
Author(s):  
Jin Gang Ma ◽  
Hong Ying Song ◽  
Jiang Li Hou

Engine fault diagnosis and detection is inseparable from the analysis and examination of each sensor or actuator, and the waveform display is the most intuitive and convenient way. This system is an engine waveform tester developed based on virtual instrument and the batch estimate fusion theory is used in the process of the single sensor data acquisition and processing. It is proved by practice that this instrument can conveniently and quickly realize the functions such as signal acquisition and control, waveform analysis and processing and result expressing and output, thus providing technical support for comprehensive intelligent engine fault diagnosis technology.


Author(s):  
Francisco Vital Da Silva Júnior ◽  
Mônica Ximenes Carneiro Da Cunha ◽  
Marcílio Ferreira De Souza Júnior

Floods are responsible for a high number of human and material losses every year. Monitoring of river levels is usually performed with radar and pre-configured sensors. However, a major flood can occur quickly. This justifies the implementation of a real-time monitoring system. This work presents a hardware and software platform that uses Internet of Things (IoTFlood) to generate flood alerts to agencies responsible for monitoring by sending automatic messages about the situation of rivers. Research design involved laboratory and field scenarios, simulating floods using mockups, and later tested on the Mundaú River, state of Alagoas, Brazil, where flooding episodes have already occurred. As a result, a low-cost, modular and scalable IoT platform was achieved, where sensor data can be accessed through a web interface or smartphone, without the need for existing infrastructure at the site where the IOTFlood solution was installed using affordable hardware, open source software and free online services for the viewing of collected data.


SinkrOn ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 129
Author(s):  
Rudi Arif Candra ◽  
Devi Satria Saputra ◽  
Dirja Nur Ilham ◽  
Herry Setiawan ◽  
Hardisal Hardisal

This study discusses the infusion detection device in a hospital room. This tool is designed to help hospital nurses to cope more quickly to avoid problems due to the infusion. Load cell sensors are used as heavy detectors that send notifications to the nurses through the telegram application that has been installed. The nurse will get a notification message sent to the telegram if the sensor has read the weight. The tool is made using a load cell sensor and NodeMCU Wi-FiESP866 which functions to send notification of the results of sensor data input to the Internet of Things (IOT) platform namely Telegram. Nurses need to be connected to the internet network to get notifications on the telegram. Test results show that the time needed to send and receive notifications on Telegram takes about 2-5 seconds. The message will be sent 3 times, first the infusion WARNING is almost exhausted (alert), second the infusion WARNING is almost exhausted (standby) and the infusion WARNING is almost exhausted (please replace). If the infusion is not replaced by the nurse, it will be warned by Buzzer. However, time can be influenced by the available internet network connectivity. However, time can be affected by the available internet network.


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