scholarly journals Development of an Intelligent System of Determinating the Coordinates and the Speed of the Train

2016 ◽  
Vol 17 (2) ◽  
pp. 138-143 ◽  
Author(s):  
Evgenii M. Tarasov ◽  
Dmitrii V. Zheleznov

Abstract Dynamic development of the country’s transport system leads to the increase of the length of highways, traffic interchange, including places of crossing with the railway. Notification time for crossing is determined by the maximum speed of the train, which is a significant disadvantage of the automatic crossing signaling. In reality the train speed is less than the estimated one, so the idles at transport intersection (crossing) reach 30-30 minutes, creating not only inconveniences to vehicle traffic, but also unfavorable environmental conditions. In the development of intellectual control system automatic crossing signaling there is applied the principles patterns recognition with lots of informative features and decisive functions with the procedure of “learning” the decisive function “teacher”.

Author(s):  
Lysenko, V. ◽  
Chernova, I.

Purpose. Improving the efficiency of entomophage production by optimizing the management technological processes using intellectual analysis. Methods. To develop an intellectual system for managing the production of entomophages, the methods of systemic, economic and mathematical analysis, fuzzy inference, experimental studies in laboratory production have been used. Results. An intellectual computer-integrated control system for the laboratory production of entomophage Habrobracon hebetor is developed; the lower level is represented by the automatic subsystem of control of the abiotic parameters of the production of entomological products with the SCADA program, the upper – an intellectual subsystem of decision-making. The criteria of system efficiency are determined. The calculation of indicators of the effectiveness of the implementation of an intelligent system based on the coefficient of profitability of fixed assets (ROFA), the coefficient of economic efficiency of capital investments and the period of full payback of the system was made. Conclusions. An intellectual control system for the production of entomophages is developed, which automatically generates control actions on the development of entomocultures; in an automated implements profit management strategies of production, minimizing energy consumption in conditions of uncertainty due to the influence of natural perturbations (change in ambient temperature). The full payback period of the system is 2.2 years. Keywords: intellectual analysis, control system, entomophage production, profit, efficiency, energy consumption


2015 ◽  
Vol 21 (2(93)) ◽  
pp. 53-55
Author(s):  
V.B. Taranenko ◽  
◽  
R.A. Lymarenko ◽  
V.A. Topolnikov ◽  
V.A. Yatsenko ◽  
...  

2014 ◽  
Vol 2014 (3) ◽  
pp. 93-98
Author(s):  
Наталия Суханова ◽  
Nataliya Sukhanova ◽  
Юрий Соломенцев ◽  
Yuriy Solomentsev ◽  
Сергей Шептунов ◽  
...  

In this article are developed wants to the monorail transport system, described structure of control system. There were choused tools for the realization of the control system on the base of artificial neuron networks.


2021 ◽  
pp. 1-19
Author(s):  
G. Adline Priya ◽  
C. Sundar ◽  
S. Pavalarajan

The adoption of a new transmission line is extremely complex because of its socio-economic problems such as environmental clearances. Thus, there is a prominence of better utility over available transmission infrastructure. The Flexible Alternating Current Transmission System (FACTS) devices can offer transmission capability enhancement, power compensation, and stability as well as voltage improvement. However, the FACTS devices have a higher penetration impact of wind generation for the dynamic stability of power networks. In this work, an efficient Intellectual Control system has been proposed to stabilize the FACTS devices placement. The Squirrel Search Optimization is adapted with an intellectual control system to enhance the steady-state voltage stability of FACTS devices. The proposed system has been evaluated with the assist of IEEE 14 and 26 standard bus systems to handle the multi-objective functions like cost, reduction in power loss, reducing risks, and maximizing user’s benefit. These multi-objective functions facilitate to attain the optimal placement and load flows at various sites. The simulation can be carried out with MATLAB/SIMULINK environment and the results manifest that the proposed system outperforms well when compared with existing approaches.


2020 ◽  
Vol 305 ◽  
pp. 00004
Author(s):  
Oliviu Mihnea Gamulescu ◽  
Sebastian Daniel Rosca ◽  
Fabian Panaite ◽  
Alin Costandoiu ◽  
Simona Riurean

Nowadays, finding a way to quickly respond to industrial accidents due to human errors or unforeseen situation is high, for example in the petrochemical industry where are handled with toxic and flammable substances, is a priority for the safe coordination of rescue teams based on-real time knowledge of the situation on the ground. Thus, the rapid identification of potential victims, the prevision of post-deflagration work space and the prevention of the new emergencies to limit damage should become a priority. In this paper we propose a quickly solution for rescue intervention based on use of the drone equipped with camera and sensors network capable of transmitting data in real time over the post-explosive environmental conditions to command center for the rapid identification of victims both in open and closed spaces. The paper presents the methods of using drones to explore and identify accident sites. There are modelled and simulated the control system and the image identification unit.


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1996
Author(s):  
Sérgio N. Silva ◽  
Felipe F. Lopes ◽  
Carlos Valderrama ◽  
Marcelo A. C. Fernandes

This work proposes dedicated hardware for an intelligent control system on Field Programmable Gate Array (FPGA). The intelligent system is represented as Takagi–Sugeno Fuzzy-PI controller. The implementation uses a fully parallel strategy associated with a hybrid bit format scheme (fixed-point and floating-point). Two hardware designs are proposed; the first one uses a single clock cycle processing architecture, and the other uses a pipeline scheme. The bit accuracy was tested by simulation with a nonlinear control system of a robotic manipulator. The area, throughput, and dynamic power consumption of the implemented hardware are used to validate and compare the results of this proposal. The results achieved allow the use of the proposed hardware in applications with high-throughput, low-power and ultra-low-latency requirements such as teleoperation of robot manipulators, tactile internet, or industry 4.0 automation, among others.


2016 ◽  
Vol 251 ◽  
pp. 158-163
Author(s):  
Jordan Mężyk

For years now, the industrial manipulators have substituted human in many types of works during the manufacturing process. With robots the production rate increases, as does the quality of the product. The application of industrial manipulators increases the safety in the factories which in turn leads to savings. However, there are several difficulties in introduction of robotics into the production line. One of them is usually large cost of purchase and implementation of the robot. The proposed concept of the intelligent system for tool exchange is to address the stated issue. The aim of the system is to provide a mechanism for quick tool exchange supported by a decision making module that will constitute the self-reconfigurable industrial manipulator that is able to assess the situation at the production line, recognize the product and make decision on the operations to be performed, their sequence and which tool to use to perform that operation. Such a system of manipulator equipped with functions for reconfiguration and adaptation will be a solution for all applications where the production assortment changes quickly and is made in short series, and in particular for SMEs, which cannot afford purchase of several robots. They would buy one instead and let it perform variable tasks.The article briefly presents the concept of the hardware part of the exchange system, which includes both construction and the electronic modules for the tools, and concentrates on the concept of software expert system and database that allows intelligent decision making. The software control of the system is divided into four levels: the basic level, technical level, task level and procedure level. The basic level defines the movement of the robot such as: positioning, rotation, approach to the position etc. This level uses to control system of the applied manipulator and the data contained in the electronic modules of the tools. The basic level reflects the typical low-level control of the manipulator. The technical level defines the technical movement of the robot, small procedures related to the calibration of the tools, operation with the tool magazine (picking up and putting away) and related to tool maintenance – locking, unlocking, power supply, air supply and similar. The task level defines the operations related to the task performed on the object. Depending on the defined task the proper tool is selected (e.g. gripper, camera or a laser scanner) and, based on the data collected from sensors, performs the operation (e.g. scans the surface of the object). The highest level of control is totally independent on the hardware control system of the manipulator and the hardware of the robotic stand. Using the available databases and the recognition systems (e.g. cameras) makes decisions on what type of object appears on the production line and what operation is to be performed. The operations are defined as metacode that is interpreted and performed by lower control levels structurally bound to the control system of the manipulator.


Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5905
Author(s):  
Paul D. Rosero-Montalvo ◽  
Vanessa C. Erazo-Chamorro ◽  
Vivian F. López-Batista ◽  
María N. Moreno-García ◽  
Diego H. Peluffo-Ordóñez

This work presents a monitoring system for the environmental conditions of rose flower-cultivation in greenhouses. Its main objective is to improve the quality of the crops while regulating the production time. To this end, a system consisting of autonomous quadruped vehicles connected with a wireless sensor network (WSN) is developed, which supports the decision-making on type of action to be carried out in a greenhouse to maintain the appropriate environmental conditions for rose cultivation. A data analysis process was carried out, aimed at designing an in-situ intelligent system able to make proper decisions regarding the cultivation process. This process involves stages for balancing data, prototype selection, and supervised classification. The proposed system produces a significant reduction of data in the training set obtained by the WSN while reaching a high classification performance in real conditions—amounting to 90% and 97.5%, respectively. As a remarkable outcome, it is also provided an approach to ensure correct planning and selection of routes for the autonomous vehicle through the global positioning system.


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