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![Fig. 1. Microcontroller Raspberry PI 2B [8].](profile/Michal-Sustek-2/publication/320204209/figure/fig1/AS:545825407619072@1507146326399/Microcontroller-Raspberry-PI-2B-8_Q320.jpg)
![Fig. 2. Brushed DC motor [14].](profile/Michal-Sustek-2/publication/320204209/figure/fig2/AS:545825409048576@1507146326727/Brushed-DC-motor-14_Q320.jpg)
![Fig. 3. Brushless DC motor [15].](profile/Michal-Sustek-2/publication/320204209/figure/fig3/AS:545825407369216@1507146326875/Brushless-DC-motor-15_Q320.jpg)
![Fig. 4. Servo-motors controlling pulses [8].](profile/Michal-Sustek-2/publication/320204209/figure/fig4/AS:670353512747048@1536836140892/Servo-motors-controlling-pulses-8_Q320.jpg)
![Fig. 5. DC motor wiring with Raspberry Pi 2B [8].](profile/Michal-Sustek-2/publication/320204209/figure/fig5/AS:670353516920832@1536836141004/DC-motor-wiring-with-Raspberry-Pi-2B-8_Q320.jpg)
The expanding capabilities of today’s microcontrollers and other devices lead to an increased utilization of these technologies in diverse fields. The automation and issue of remote control of moving objects belong to these fields. In this project, a microcontroller Raspberry Pi 2B was chosen for controlling DC motors and servo-motors. This paper p...
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Citations
... While it is commonly known for its capabilities as a small, low-cost computer, Raspberry Pi can also be utilized effectively as a microcontroller, offering a wide range of possibilities for various embedded systems and IoT (Internet of Things) projects. Traditionally, microcontrollers have been the first choice for controlling and monitoring devices in embedded systems [3]. These microcontrollers are specifically designed for tasks requiring real-time control and interaction with the physical world. ...
In recent years, the use of Raspberry Pi as a microcontroller in real-time applications has becomewidespread. In this study, Raspberry Pi is used for DC motor position control system. In addition, wirelesscommunication is provided between the external control panel prepared in the Matlab/Simulink programand the Raspberry Pi. Thanks to this control panel, the system can be turned on and off, the controller gainscan be changed, and the position information of the motor can be displayed on the scope in real-time.
... In Sustek et al. [15] inspected the situating of green and yellow organic products in outside circumstances of automated bundles with the guide of offering in the paper roughly the shade joining, sifting, and sharpness way required for rural robot bundles. Related points for folks by method for K strategy calculation coordination, round thing assurance, and natural product securing. ...
The Internet of Things (IoT) playing an important role in every sector. The use of number of IoT devices becomes double every year. Smart agriculture is evolving as a need. Automation is playing an important role in agriculture sector. The quality, growth, and productivity of yield is increased due to automation. Manual segregation of fruits decreases the quality. A lot of time is wasted in grading of fruits. As sorting being one of the most important industrial challenge, a reliable segregation and taxonomy system is needed. In the proposed system, by using the multiple processed algorithmic photos, the system will recognize suitable things on the basis of its color, look, size and the amount of damage. System will provide good kind of photo that can provide facility for packing to the farmers if they want to. By the assistance of preparing and analyzing pictures, the system will find the items dependent on its shading, surface, size, and deformities. The procedure will provide a higher caliber of the image with a reason to help comparatively for bundling the items in ventures. The utilization of raspberry pi together with the sensor and flapper instrument, the method of programmed bundling will enhance the nature of outcomes in a higher manner. Right from plucking to packing all things are connected with the IoT which helps to perform tasks more smoothly, timely and improves the connectivity between different units of smart agriculture. The proposed system is more reliable, efficient and gives better performance as compared to existing one.
... Servomotors are not a specific class of vehicles, even though a time servomotor is often used to name a vehicle suitable for use in a closed control system. Servomotors are used in programs such as robots, CNC machines, or automated machines [23]. ...
In the agricultural sector, automation being the fundamental property, it increases and improves the standard, broadening, and efficiency of manufacturing goods. The quality of evaluation affected due to improving the sorting of goods. As sorting is one of the most important industry challenges, a reliable sorting method is needed so it became easy to package the goods automatically. Property used in this process is preprocessing, thresholding, segmentation, extraction, classification, and detection. With the help of training and testing images, the machine will identify the goods based on its color, texture, shape, and defects. Thus, this process will lead to a better quality of the image which will help further for packaging the goods in industries. The use of raspberry pi along with the counter sensor and flapper mechanism, the process of automated packaging will improve the quality of results in a better way than before.
Since the Industry 4.0 nature is a world-scale phenomenon, lot of information are available today from several sources, presenting different points of view. From the scientific papers, the research is focused more on the theoretical steps for a future implementation and the benefits achievable, with important information on the development path followed by the industry to reach today’s situation. Other important resources are represented by the companies operating on the consultant and high-tech sectors, because the revolution is completely intertwined with the digital world and their reports can provide interesting information. At the end, the government reports of the most important manufacturing countries have been a good information source for the practical steps and the necessary requirements in order to create a favorable field for the implementation. Therefore, this chapter is intended to contribute over all these mentioned areas of knowledge, providing a brief state of the art regarding the Industry 4.0, the role of IoT and cloud computing in today’s and future factories, as well as a view along all those enabling technologies that complement among each other in the diverse industrial scenarios.
https://www.springer.com/gp/book/9783030738846
DOI 10.1007/978-3-030-73885-3
Contribución de dos capítulos al libro:
11. A Literature Review on Lean Manufacturing in the Industry 4.0: From Integrated Systems to IoT and Smart Factories . . . . . pág. 181
G. Turconi, G. Ventola, V. González-Prida, C. Parra, and A. Crespo
13 Calculating the Optimal Frequency of Maintenance for the Improvement of Risk Management: Plausible Models for the Integration of Cloud and IoT . . . . . . .pág.209
E. Fuenmayor, C. Parra, V. González-Prida, A. Crespo, F. Kristjanpoller, and P. Viveros
Abstract. Since the Industry 4.0 nature is a world-scale phenomenon, lot of information
are available today from several sources, presenting different point of view. From the
scientific papers, the research is focused more on the theoretical steps for a future implementation
and the benefits achievable, with important information on the development
path followed by the Industry to reach the today situation. Other important resources are
represented by the companies operating in the consultant and high-tech sectors, because
the revolution is completely intertwined with the digital world and their reports can provide
interesting information. At the end, the government reports of the most important
manufacturing countries have been a good information source for the practical steps and
the necessary requirements in order to create a favorable field for the implementation.
Therefore, this chapter is intended to contribute over all these mentioned areas of
knowledge, providing a brief state of the arts regarding the Industry 4.0, the role of IoT
and Cloud computing in today’s and future factories, as well as a view along all those
enabling technologies that complement among each other in the diverse industrial scenarios.
Keywords: State-of-the-Art, Asset Management, Cloud & IoT, Lean Manufacturing,
Industry 4.0, Maintenance, Uncertainty.
