Real-time information exchange between data acquisition and control systems at ASDEX Upgrade

Author(s):  
K. Behler ◽  
A. Buhler ◽  
R. Drube ◽  
R. Merkel ◽  
G. Neu ◽  
...  
Author(s):  
Melissa Ospina-Quiroga ◽  
Eduardo Mojica-Nava

The growing consumption of electricity as well as the progressive development of new technologies implies that the power system is increasingly automated with the purpose of having a more efficient and economical operation. This development drives the system to a Smart Grid, a large-scale cyber-physical network covering different energy generation technologies, storage and communications enabling real-time information exchange and control. In this work, we present an optimal distributed control based on the consensus+innovation technique, where each agent of the network obtains information from its neighbours. Simulations on a microgrid system based on an IEEE 14-Bus reference system demonstrate the effectiveness of the approach. Convergence is observed in the microgrid system under different scenarios in the physical and communications network.


2018 ◽  
Vol 73 ◽  
pp. 05026
Author(s):  
Wibowo Harry Suglharto ◽  
Aditya Akbar Riadi ◽  
Muhammad Imam Ghozali

In Indonesia, carbon monoxide is one of which type of gas used as a parameter in the air pollution. Unfortunately, reporting and monitoring air pollution in Indonesia is regulated in government rules and reported once a day. The value of carbon monoxide concentration always change but the published information is out of date. Without real-time information, people cannot avoid the danger of monoxide pollution toxicity effect. This paper purpose the solution by publishes the real-time information from the carbon monoxide sensor data acquisition. This Research uses the rule-based method to calculate carbon monoxide pollution from data acquisition. Results of experiments show that information generated by the system in accordance with the manual calculation results of carbon monoxide pollution. This research contributed to providing information on real-time carbon monoxide measurement to the public, so the danger of carbon monoxide poisoning can be avoided.


2021 ◽  
Author(s):  
Nader Azizi

In most major cities, levels of traffic congestion are rising along with their associated problems such as travel delays and pollution. While any increase in public transit rider-ship could reduce the level of traffic congestion and related costs, most transit agencies are not able to expand their existing services because of fiscal• and physical constraints. As a result, a growing interest has been developing recently to maximize the transit system efficiency and productivity using new emerging technologies. Recently, the emergence of new technologies such as automatic vehicle location (AVL) and global positioning systems (GPS) has facilitated the design of computer-based real-time decision support systems for public transits. These technologies could significantly help transit agencies improve their operations monitoring and control. In the context of public transit systems, operations monitoring refers to real-time service performance measure and problems detection, and control refers to implementing real time control actions to remedy those problems. This thesis presents a new approach for operations monitoring and control in public transit systems with real-time information. First, an integrated model that combines both headway-based and schedule-based services is presented. To measure the headway or schedule adherence, the model uses predicted arrival times of vehicles at downstream stops. This feature allows the operational managers to avoid major service interruptions by proactively taking necessary corrective actions. Transit agencies have used and continue to use real-time control strategies to improve quality of their services. These strategies are employed by inspectors at various points along a route to remedy the problems as they occur. Practice shows that it is difficult to apply such strategies effectively without real-time information. In the second part of this thesis, a mathematical model for holding control strategy with real-time information is described. The proposed model aims at minimization of the total passengers waiting time and considers both cases of overcrowded and underutilized services. Due to complexity of the holding problem, several metaheuristics are proposed and tested. Among all intelligent search algorithms, a new version of simulated annealing algorithm is proposed to solve the real-time holding control model.


2013 ◽  
Vol 278-280 ◽  
pp. 1114-1118
Author(s):  
Pei Zhi Cui ◽  
Yan Sun ◽  
Guang Wei Wang ◽  
Ling Yun Sun

Data acquisition for simulation training system can provide reliable operation data sources for system displaying, monitoring, controlling and evaluation. It takes an important role in simulation training system. This paper studies and designs one kind based on database trigger mechanism document data acquisition method. This method can guarantee real-time information collection and write data to the remote target database table in real time. It’s suitable for the data processing system of information acquisition application.


2013 ◽  
Vol 816-817 ◽  
pp. 967-970
Author(s):  
Xiao Na Song ◽  
Jun Zheng ◽  
Pei Li ◽  
Xiao Xia Hou ◽  
Jing Rong Zhang ◽  
...  

Based on technology of Internet of Things, an intelligent supervised system for housing is formed to monitor various parameters at home. This system adopts special sensors to sample the environmental data, and will send alarm information through the GPRS gateway to the mobile phone of the host once the data beyonds the allowable value. Through information exchange between host and the supervised system, people can check the real time information of home and commit intelligent control. This paper introduced the structure, the hardware and software design idea of the supervised system. Special designs ensure that the system has relatively low power consumption and can be easily used for housing supervision and control.


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