Development of a modular software and hardware complex for a test-stand with a space greenhouse model

2021 ◽  
Author(s):  
A.A. Buryak ◽  
O.A. Ochkov ◽  
Yu.A. Berkovich ◽  
S.N. Lapach
Keyword(s):  
Test Stand ◽  
Raspberry Pi ◽  
Co2 Absorption ◽  
Adaptive Optimization ◽  
Sensors And Actuators ◽  
Software Complex ◽  
Modular Software ◽  
Red Led ◽  
Avr Microcontroller ◽  
Object Of Control

Space greenhouses (SG) that can be used for enriching the astronauts’ diet are also considered a means of improving the astronauts’ life environment in autonomous crewed expeditions. One of the main requirements for SC is to minimize the specific consumption of the main onboard resources: energy, space, refrigerant, and labor-hours per unit mass of grown product. Experiments on adaptive optimization of irradiation and illumination spectrum were performed and a hardware and software complex (HSC) was developed to control the test-stand with the SG model. The main object of control is an intermittently pressure-sealed chamber with temperature and humidity sensors, as well as an IR gas analyzer. The latter determines the visible photosynthesis of the plants based on the dynamics of CO2 absorption. The sensors and actuators are connected to a Mega 2560 AVR microcontroller connected to a Raspberry Pi 4B single-board computer via a USB-UART converter. The modular software package was created on the basis of the ROS (Robot Operating System) framework, which minimizes the training period for new developers and experiment operators. The first HSC versions were successfully tested on a test-stand with Chinese cabbage to find the trajectory of optimal lighting parameters during the growth process. The HSC made it possible to carry out several replications of a 2-factor experiment to study the drift of the optimal LED lighting modes during a 10 days’ period with daily variation of 2 factors — the current in the red LED circuit and the current in the white LED circuit. Optimal change patterns in the lighting parameters for a test-stand with a space greenhouse model were obtained.

scholarly journals Internet of Things based Wireless Plant Sensor for Smart Farming

2018 ◽  
Vol 10 (2) ◽  
pp. 456 ◽  
Author(s):  
Monica Subashini M ◽  
Sreethul Das ◽  
Soumil Heble ◽  
Utkarsh Raj ◽  
R Karthik
Keyword(s):  
Growth Parameters ◽  
Low Cost ◽  
Weather Data ◽  
Sensors And Actuators ◽  
Cost System ◽  
Internet Server ◽  
Tier System ◽  
Smart Farming ◽  
Avr Microcontroller ◽  
Data Acquisition And Processing

<p>About 10% of the world’s workforce is directly dependent on agriculture for income and about 99% of food consumed by humans comes from farming. Agriculture is highly climate dependent and with global warming and rapidly changing weather it has become necessary to closely monitor the environment of growing crops for maximizing output as well as increasing food security while minimizing resource usage. In this study, we developed a low cost system which will monitor the temperature, humidity, light intensity and soil moisture of crops and send it to an online server for storage and analysis, based on this data the system can control actuators to control the growth parameters. The three tier system architecture consists of sensors and actuators on the lower level followed by an 8-bit AVR microcontroller which is used for data acquisition and processing topped by an ESP8266 Wi-Fi module which communicates with the internet server. The system uses relay to control actuators such as pumps to irrigate the fields; online weather data is used to optimize the irrigation cycles. The prototyped system was subject to several tests, the experimental results express the systems reliability and accuracy which accentuate its feasibility in real-world applications.</p>

scholarly journals HARDWARE AND SOFTWARE ENGINE EMULATION IN THE AUTOPILOT SYSTEMS

2018 ◽  
Vol 20 (5-6) ◽  
pp. 67-74 ◽  
Author(s):  
M. F. Sadykov ◽  
A. V. Golenishchev-Kutuzov ◽  
N. K. Andreev
Keyword(s):  
Control System ◽  
Emergency Operation ◽  
Technical Condition ◽  
Labor Input ◽  
Sensors And Actuators ◽  
Software Complex ◽  
Latent Defects ◽  
Control Units ◽  
Kamaz Truck ◽  
Autopilot Systems

Now a number of the leading firms work on creation of an automobile autopilot. The authors of the presented article offer to complement the system of an autopilot with the control system of the car technical condition. The developed hardware and software complex allows working with virtual mathematical model of the gas engine of the KamAZ truck and can be recustoized under different modifications of gas and diesel engines. At the same time by means of this complex there is an opportunity to reveal the latent defects of a control system and to reduce labor input of calibration procedures. The hardware and software allows testing electronic control units in standard and emergency operation modes of sensors and actuators, thereby providing compliance to the modern Russian and international requirements to control systems of cars.

scholarly journals Electric Load Forecasting for Internet of Things Smart Home Using Hybrid PCA and ARIMA Algorithm

2021 ◽  
pp. 425-430
Author(s):  
Hamdi W. Rotib ◽  
◽  
Muhammad B. Nappu ◽  
Zulkifli Tahir ◽  
Ardiaty Arief ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Load Forecasting ◽  
Principal Component ◽  
Touch Screen ◽  
Infrared Light ◽  
Raspberry Pi ◽  
Electric Load ◽  
Sensors And Actuators ◽  
Electric Load Forecasting

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.

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

2021 ◽  
Vol 9 (10) ◽  
pp. 1441-1451
Author(s):  
Srutanjay Ramesh
Keyword(s):  
User Interface ◽  
Internet Of Things ◽  
Graphical User Interface ◽  
Vision System ◽  
Raspberry Pi ◽  
Sensors And Actuators ◽  
Multiple Control ◽  
Mars Rover ◽  
Voice Control ◽  
Motion Studies

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

scholarly journals Integration of Smart Class Control System Using Amazon Echo Dot with Artificial Neural Networks

2019 ◽  
Vol 5 ◽  
Author(s):  
Teddy Januar ◽  
Abd. Rabi ◽  
Dwi Arman Prasetya
Keyword(s):  
Neural Network ◽  
Electronic Devices ◽  
Raspberry Pi ◽  
Network Technology ◽  
Sensors And Actuators ◽  
Artificial Neural ◽  
Hidden Layer ◽  
Neural Network Technology ◽  
Resource System ◽  
Number Of Cells

Development of a class resource system that is integrated with the system that is the application-based system. One system that can be used is the Smart Class. Smart Class is a system that offers control of electronic equipment in the classroom using voice command control with a device that is Smart Speaker called Amazon echo dot which is used to facilitate the use of electronic devices in classrooms using Raspberry Pi Microcontroller technology by embedding smart class artificial neural network technology. With maximum performance at 1500ms to 2000ms on all conditions both sensors and actuators by iterating simultaneously 500 times with two hidden layers and the number of cells of each hidden layer is 9 and 5.

scholarly journals Automated smart car parking system using raspberry Pi 4 and iOS application

2020 ◽  
Vol 9 (3) ◽  
pp. 229
Author(s):  
Rahman Atiqur ◽  
Yun Li
Keyword(s):  
Total Population ◽  
Raspberry Pi ◽  
The Internet ◽  
Fuel Utilization ◽  
Way Of Life ◽  
Sensors And Actuators ◽  
Parking System ◽  
Late Finding ◽  
Human Effort ◽  
The Internet Of Things

In interconnection and automation of different physical gadgets, vehicles, home machines and different things, the internet of things (IoT) innovation plays a critical role.These objects associate and deal information with the assistance of software, different sensors, and actuators. A human's standard of life and living are improved with this automation of gadgets, which is a forthcoming need. In this paper we talked about a similar requirement for instance, a smart car parking system which empowers a driver to discover a parking area and a free slot in that parking area inside a city. This paper focus on drcreasing the time squandered on discovering parking area. This in turn diminishes the fuel utilization and way of life. With the exponential increment in the quantity of vehicles and total population, vehicle accessibility, use out, about starting late, finding a space for parking the vehicle is turning out to be increasingly more troublesome with realizing the amount of conflicts, for example, automobile overloads. This paper is connected to making a trustworthy system that accept authority over the undertaking of recognizing free slots in a parking area and keeping the record of vehicles left in an extremly methodical way. The predicted system decreases human effort at the parking area generally, for example, in case of looking of free slots by the driver and calculating the portion for each vehicle using parking area. The different advances engaged with this system are vehicle unique proof utilizing RFID labels; free slot discovering utilizing Ultrasonic sensors and payment count is done based on time of parking.

Active vibration control using piezoelectric actuators employing practical components

2019 ◽  
Vol 25 (21-22) ◽  
pp. 2784-2798 ◽  
Author(s):  
D Williams ◽  
H Haddad Khodaparast ◽  
S Jiffri ◽  
C Yang
Keyword(s):  
Vibration Control ◽  
Analytical Model ◽  
Active Vibration Control ◽  
Experimental Studies ◽  
Control Design ◽  
Beam Theory ◽  
Raspberry Pi ◽  
Sensors And Actuators ◽  
Expensive Equipment ◽  
Active Vibration

Unwanted vibrations are a common occurrence within structures and systems, and often pose a threat to their integrity or functionality. This research aims to seek a solution to attenuate the vibrations experienced within a link of a system using active vibration control with piezoelectric patches as actuators, whilst avoiding the use of large and expensive equipment which would contravene with the common objective of maintaining the smallest mass possible of the system. Previous research has employed large and expensive equipment as the controller, with sensors often only being able to measure the vibrations of the structure along one axis; this research aims to address these issues. The choice of utilizing the small, lightweight, and low-cost Raspberry Pi 3 combined with petite, mountable sensors and actuators was made based upon the greater practicality that the controller, sensors, and actuators exhibit, allowing for their use in a wide variety of applications. An analytical model of the structure was created based on Euler–Bernoulli beam theory and validated through the modal parameters and the frequency response obtained from a finite element model and experimental data. A controller was then designed and applied to the analytical model to attenuate the vibrations along the link, and then the same design was implemented within the Raspberry Pi 3, and experimental studies were carried out. The introduction and effectiveness of a purposeful time delay within the controller was explored within the experimental and analytical studies, with the intention of counteracting unfavorable results produced by the control system. The results of the experiment proved the control design to be effective for a range of frequencies that included the first natural frequency of the link, and validated the analytical model including the control design.

scholarly journals Development and Implementation of an OpenSource IoT Platform, Network and Data Warehouse for Privacy-Compliant Applications in Research and Industry

2021 ◽  
Vol 7 (2) ◽  
pp. 507-510
Author(s):  
Sebastian Stadler ◽  
Eduardo Romero Borrero ◽  
Johannes Zauner ◽  
Christian Hanshans
Keyword(s):  
Data Acquisition ◽  
Data Privacy ◽  
Industrial Applications ◽  
Visual Programming ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Sensors And Actuators ◽  
Research Activities ◽  
Machine Communication ◽  
User Friendly

Abstract In the scientific field, data acquisition using commercial or self-developed sensors is a necessity for many research activities. Data security and data privacy are important requirements in all types of IoT applications, especially in the medical context. IoTree42 is a powerful, OpenSource platform that closes the gap between cost-efficiency, the ease of use and digital sovereignty. The flexible and user-friendly design makes the platform ideal for the originally conceived research context. Nevertheless, it can be used for smaller budget-oriented setups and industrial applications with thousands of sensors and actuators likewise. The platform was developed with security in mind by minimizing interfaces and the use of stable software components and transport protocols. IoTree42 utilizes lightweight OpenSource software cast into a flexible backend, allowing the deployment not only on full-fledged servers but also on single board computers like the Raspberry Pi. Data is transmitted with low overhead via MQTT, a robust protocol optimized for machine to machine communication. The transmission technology between all components is freely selectable. Besides data acquisition, IoTree42 enables control of actuators and automation through interfaces with visual programming tools. This allows for remote interventions without requiring prior programming experience. The incoming data can conveniently be visualized in dashboards or easily be exported for further analysis. The network consists of a central server and satellites (gateways) arranged in a star topology. Sensors and actuators connect to the gateway. The initial setup of the server and the gateways is automated, well documented, and can be done within minutes. Thanks to the increasing usage and the contribution of the community, the pool of code examples for sensors is growing and lowers the entry hurdle for users without programming background. IoTree42 is a fast-growing, multi-user, hardware and cloud agnostic, easy to deploy, privacy compliant and competitive solution compared to commercial IoT alternatives.

scholarly journals Sistem Monitoring Parkir Mobil menggunakan Sensor Infrared berbasis RASPBERRY PI

2014 ◽  
Vol 2 (1) ◽  
pp. 68
Author(s):  
DECY NATALIANA ◽  
IQBAL SYAMSU ◽  
GALIH GIANTARA
Keyword(s):  
Monitoring System ◽  
Raspberry Pi ◽  
Infrared Sensors ◽  
Billing System ◽  
Lack Of Information ◽  
Red Led ◽  
System Use ◽  
Infra Red ◽  
Web Camera ◽  
The Status

ABSTRAKMasalah yang selalu timbul dalam sistem perparkiran adalah kurangnya informasi mengenai status ketersediaan lahan parkir, untuk itu diperlukan sebuah sistem monitoring parkir. Tujuan penelitian ini adalah merancang dan merealisasikan model sistem monitoring perparkiran dengan fasilitas pemilihan area parkir dengan berbasiskan Raspberry Pi serta pemanfaatan infrared sebagai sensor. Sistem ini mampu menampilkan status ketersediaan dari area parkir yang ditampilkan pada display serta dilengkapi dengan perhitungan tarif parkir. Pada sistem yang dirancang dilengkapi dengan tombol untuk memilih area parkir, 2 buah sensor pada masing-masing area parkir untuk mendeteksi kendaraan, kamera untuk kemanan dan lampu LED sebagai indikator ketersediaan area parkir. Perangkat lunak yang digunakan pada sistem ini dirancang dengan menggunakan bahasa Python 2 dan untuk sistem database digunakan SQLite3. Pengujian dilakukan secara simulasi pada miniatur perparkiran. Hasil pengujian model sistem perparkiran dapat menampilkan kondisi dari masing-masing area parkir yang ditampilkan pada display. Kedua buah LED berhasil menjadi indikator ada tidaknya lahan parkir yang masih kosong. Untuk sistem perhitungan tarif parkir telah sesuai dengan perhitungan lamanya parkir.Kata kunci: Parkir, Raspberry Pi , Infrared, Python 2, Monitoring.ABSTRACTThe problem which always happens in parking system is the lack of information about the parking area. That’s why we need parking monitoring system. The purposes of this project are to devise and create parking monitoring system which has fitur for ordering parking area. The system based on Raspberry Pi. The system use infra red as sensor. Beside show the availability status of parking area in a display, this system also calculates the price of using the parking area. The System equipped with button for ordering parking area, 2 infrared sensors for each area, web camera for security and 2 LED lamps for availability indicator. Software for this system is made by Pyhton 2 language. For database the system use SQLite 3 as database system. The trial for this system done with simulation in a miniatur parking area. The result of the trial is the system can display about status of parking area. The system is also can make red LED and green LED light depend on the status of parking area. For billing system, the calculation of parking rates fits with the calculation of parking duration.Keywords: Parking, Raspberry Pi, Infra Red, Python 2, Monitoring.

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