Real-Time Data Acquisition and Controls Using Matlab

Author(s):  
Kevin J. Gorman ◽  
Kourosh J. Rahnamai

Abstract Matlab is a powerful mathematical package that has numerous functions for engineering applications, such as signal processing. Simulink is an add-on package for Matlab that gives a graphical user interface for creating and simulating block diagrams. Matlab has another add-on package, the Real-Time Workshop, which is an interface between the data acquisition adapters and Simulink. This package adds real-time data acquisition, which allows data to be acquired and analyzed. The system design is done in a graphical interface using block models. A servo system was designed and modeled using the Real-time Workshop. Matlab is a powerful tool that can be used for real-time data acquisition and control systems.

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


Author(s):  
Sachin S Junnarkar ◽  
Jack Fried ◽  
Sudeepti Southekal ◽  
Jean-Francois Pratte ◽  
Paul O'Connor ◽  
...  

2000 ◽  
Vol 47 (2) ◽  
pp. 132-135 ◽  
Author(s):  
A.L. Veiga ◽  
M.A. Mayosky ◽  
N. Martinez

2003 ◽  
Vol 14 (8) ◽  
pp. 1364-1372 ◽  
Author(s):  
Mainuddin ◽  
R K Tyagi ◽  
R Rajesh ◽  
Gaurav Singhal ◽  
A L Dawar

Author(s):  
Bengang Bao ◽  
Xiangping Zhu ◽  
Yonghong Tan

<p class="keywords"><span lang="EN-US">Due to having a direct affect for the growth of crops, the monitor and modification for the indicators of Greenhouse environment play significant roles in improving the yield of crops. The system, which adopts FPGA technology to control and modify the air condition and lighting system by collecting and analyzing the data of the temperature and humidity, has achieved good effects in practice. In our study, the key technology of real-time data acquisition system based on FPGA is proposed. In particular, based on FPGA, the designed ADC0809 and asynchronous FIFO can save the data in real time, which can be analyzed and disposed timely, so that the environment can be corrected in time.</span></p>


2014 ◽  
Vol 1049-1050 ◽  
pp. 2001-2005
Author(s):  
Hua Wang ◽  
Bing Liu ◽  
Huan Ming Liu ◽  
Hui Fen Duan ◽  
Jun Lei Bao

In order to make up the real-time performance of tracking and control information database, this paper design a kind of two-layer’s real-time data storage model based on memory database and relational database. In this article, the two-layer’s real-time data storage mechanism and life cycle are expounded in detail, analyzing and inducing the real-time data characteristic and storage strategy, putting forward the memory database’s self-adaptive index algorithm of T-tree index and hash index, and introducing the database synchronization mechanism between the memory database and relational database and so on. In this way, so as to improve and optimize the real-time, reliability and security of database, provides a reliable data guarantee for future expansion of the real-time application.


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