scholarly journals Autonomous Mars Rover Design using SOLIDWORKS and User Interface development via Internet of Things

Author(s):  
Srutanjay Ramesh

Abstract: In this paper, an autonomous Mars Rover is designed using the software SOLIDWORKS and a mechanical model is developed with in-depth simulations to analyse the functions of the vehicle. Furthermore, a graphical user interface is also developed based on the principles of Internet of Things using Node-Red to control and monitor the rover remotely. The red planet, i.e.; Mars, has been the centre of attraction for over 2 decades now, with astrophysicists and engineers working in unison to build devices and launch shuttle programs to understand and learn about the planet and gather more intelligence. This paper proposes the detailed development of a 6-wheeled rover that could explore the terrains of Mars, featuring a stereo vision system that could provide live video coverage and a robotic arm that can facilitate investigation of the surface, in an attempt to contribute to and fulfil the human race’s mission to Mars. It employs multiple onboard sensors that can acquire necessary data pertaining to the environmental conditions and actuators that enable functionality, with the sensors and actuators integrated onto a control system based on microcontrollers and microprocessors such as Arduino and Raspberry Pi. The rover also has a provision of a payload bay in its rear which enables it to carry loads. The SOLIDWORKS tool from Dassault systèmes is used to design and model the rover and carry out static analysis and motion studies. The GUI developed in the further sections allows overall voice control for the user and makes the task of monitoring the rover a much simpler task by eliminating the complexity that rises due to multiple control platforms. Keywords: Mars Rover, Graphical User Interface (GUI), Chassis, Mastcam, Actuators, Internet of Things (IoT), Nitinol, Payload

Internet of Things is a rising innovation that makes our world more astute. In recent years, there has been immense development in the realm of insightful gadgets for home mechanization. Such contraptions are planned so as to facilitate communication among individuals and everyday home obligations. This paper exhibits a voice-controlled smart home with multi-functions using ESP32 as the wireless choice. Voice control (using human voice to control any load like light, fan, ac, geyser, motor etc.). The voice-commands are recognized by a dedicated hardware module and the recognized data is sent to database using ESP32. On the accepting unit, raspberry pi peruses the information from the database and deciphers the directions verbally expressed by the client and controls the family unit apparatuses.


Author(s):  
Andrew Bohm

Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely available. Movements are controlled by an Arduino-based board running grbl, and the graphical user interface and image acquisition are controlled via a Raspberry Pi microcomputer running Python. Images can be written to the Raspberry Pi or to a remote disk. Plates with multiple sample wells at each row/column position are supported, and a script file for automated z-stack depth-of-field enhancement is written along with the images. The graphical user interface and real-time imaging also make it easy to manually inspect and capture images of individual samples.


Author(s):  
Hamdi W. Rotib ◽  
◽  
Muhammad B. Nappu ◽  
Zulkifli Tahir ◽  
Ardiaty Arief ◽  
...  

Many types of research have been conducted for the development of Internet of Things (IoT) devices and energy consumption forecasting. In this research, the electric load forecasting is designed with the development of microcontrollers, sensors, and actuators, added with cameras, Liquid Crystal Display (LCD) touch screen, and minicomputers, to improve the IoT smart home system. Using the Python program, Principal Component Analysis (PCA) and Autoregressive Integrated Moving Average (ARIMA) algorithms are integrated into the website interface for electric load forecasting. As provisions for forecasting, a monthly dataset is needed which consists of electric current variables, number of individuals living in the house, room light intensity, weather conditions in terms of temperature, humidity, and wind speed. The main hardware parts are ESP32, ACS712, electromechanical relay, Raspberry Pi, RPi Camera, infrared Light Emitting Diode (LED), Light Dependent Resistor (LDR) sensor, and LCD touch screen. While the main software applications are Arduino Interactive Development Environment (IDE), Visual Studio Code, and Raspberry Pi OS, added with many libraries for Python 3 IDE. The experimental results provided the fact that PCA and ARIMA can predict short-term household electric load accurately. Furthermore, by using Amazon Web Services (AWS) cloud computing server, the IoT smart home system has excellent data package performances.


2019 ◽  
Vol 16 (8) ◽  
pp. 3384-3394
Author(s):  
Sathish Kumar Selvaperumal ◽  
Waleed Al-Gumaei ◽  
Raed Abdulla ◽  
Vinesh Thiruchelvam

This paper aims to design and develop a network infrastructure for a smart campus using the Internet of Things which can be used to control different devices and to update the management with real-time data. In this proposed system, NodeMCU ESP8266 is interfaced with thermal and motion sensor for human, humidity and temperature sensor for the room and relay to control the lights and the air-conditioned. MQTT broker is used to acquire the data and control to and from NodeMCU ESP8266, Raspberry pi and LoRa, to be interfaced wirelessly with the Node-Red. Thus, the system is controlled and monitored wirelessly with the help of the developed integrated Graphical User Interface along with the Mobile application. The performance of the developed proposed system is analyzed and evaluated by testing the motion detection in the classroom, the LoRa range with the RSSI, the average time taken by the system to respond, the average time taken for the Graphical User Interface to response and update its data. Finally, the average time taken by the system and the Graphical User Interface to respond to the lights and air-conditioned control systems is less than 1 s, and for the security and parking systems is less than 2 s.


LoRaWAN technology has been here for several years as one of LPWAN technologies. It consists of various components such as end nodes, a gateway, a network server, and an application server at the minimum. The servers have been exclusive products of commercial companies, and not many experimental or academic ones are available. Recently one such software has been developed. However, few fully functional academic ones have been reported. In this study, we implement a fully functional private independent LoRaWAN platform for the academic research of LPWAN Internet of Things (IoT) and demonstrate that our platform can support not only end-to-end LoRaWAN communication but also graphical user interface on an embedded and limited computing power system.


2021 ◽  
Vol 2 (2) ◽  
pp. 1-9
Author(s):  
Gede Humaswara Prathama ◽  
Dhipa Andaresta ◽  
Kadek Darmaastawan

Teknologi dibuat untuk mempermudah manusia melakukan berbagai jenis pekerjaan. Salah satu teknologi yang sangat populer pada saat ini yaitu Internet of Things. Penerapan teknologi Internet of Things banyak digunakan di berbagai bidang pada saat ini. Salah satu contohnya yaitu di bidang pertanian dan kesehatan. Internet of Things di bidang tersebut biasanya digunakan untuk melakukan monitoring atau sistem kontrol. Untuk mempermudah melakukan kontrol khususnya dalam memperlihatkan hasil data yang dikontrol tersebut , menggunakan Thingsboard adalah salah satu caranya. Thingsboard memiliki dua fungsi utama yaitu sebagai broker di dalam terminologi IoT (core services) dan sebagai penyaji data (web User Interface). Thingsboard juga memberikan beberapa contoh project yang mungkin mendekati kebutuhan dan juga menyediakan installer yang bisa diinstal di komputer contohnya yaitu dengan OS Windows, Linux, atau di Raspberry Pi.


ICIT Journal ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 124-133
Author(s):  
Desy Apriani ◽  
Dewi Immaniar Desriyanti ◽  
Muhammad Zainal Arifin

Pada penelitian ini akan dilakukan pembuatan perangkat untuk memantau posisi wireless access point menggunakan antena directional, processor ARM, Raspberry-Pi , data hasil pemantauan dari antena yang telah di proses oleh Raspberry-Pi  akan ditampilkan pada GUI (Graphical User Interface) pada PC (Personal Computer). Bagian-bagian pada sistem ini adalah microprocessor Raspberry-Pi , motor servo, dan antena directional. Perangkat ini berfungsi untuk melakukan pencarian terhadap posisi sinyal terkuat atau posisi fisik dari sebuah access point. Directional antenna akan diputar 360o oleh motor servo sehingga bisa mendapatkan data sinyal pada sudut-sudut yang dipantau. Data sinyal pada sudut-sudut tersebut akan dibandingkan sehingga akan didapatkan sudut/arah dari sinyal terkuat. Metode yang digunakan dalam penelitian ini, menggunakan metode diskusi, dilakukan dengan dosen dan mahasiswa Universitas Budi Luhur guna mendapatkan solusi mengenai permasalahan dan kekurangan dari sistem pemantau posisi wireless access point menggunakan antena directional yang dirancang.  Sistem pemantau posisi arah access point ini bertujuan untuk mendapatkan hasil posisi atau posisi fisik access point yang akurat, yang berada di lingkungan kampus Universitas Budi Luhur. Kata kunci : Antena Directional, Processor ARM, Raspberry-Pi , Posisi, Access Point, GUI.


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