Automatically Recording of Machining Tasks and Status

2013 ◽  
Vol 718-720 ◽  
pp. 1290-1294
Author(s):  
Zu Wen Lin ◽  
Bin Yao ◽  
Ming Jun Peng ◽  
Yong Zhuo ◽  
Dong Sheng Zhang ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Basic Data ◽  
Component Technology ◽  
Cnc System ◽  
System A ◽  
Com Component ◽  
Mes System

Record machining tasks and machine status automatically based on one development kit for CNC system. A custom control is developed based on COM component technology to view recorded machining tasks and machine status on the CNC screen real-time. The function of data acquisition implemented by this article, can not only provide the basic data for the MES system, but also facilitate the operators to view the machining tasks and machine status.

The Application of Bezier Curves about the Visualization of the Threaded Binary Tree

2012 ◽  
Vol 605-607 ◽  
pp. 2297-2300
Author(s):  
Xiao Bo Yang ◽  
Bang Ze Chen
Keyword(s):  
Real Time ◽  
Binary Tree ◽  
Object Oriented ◽  
Component Technology ◽  
Bézier Curve ◽  
Bezier Curve ◽  
Object Oriented Method ◽  
Complete Binary Tree ◽  
Interactive Performance ◽  
Com Component

In view of the characteristics of threaded binary tree and visualization of the problem,,it is realized the visualization of binary tree by using object-oriented method and the features of complete binary tree, and then achieved the visualization of threaded binary tree by using the COM component technology and the Bezier curve. This makes the tree related operations more intuitive, nice interactive performance, real-time.

scholarly journals Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
E. Bertino ◽  
M. R. Jahanshahi ◽  
A. Singla ◽  
R.-T. Wu
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Original Data ◽  
Local Analysis ◽  
Civil Infrastructure ◽  
Time Requirements ◽  
Iot Devices ◽  
Learning Reinforcement ◽  
The Times ◽  
Acquisition Processes

AbstractThis paper addresses the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on the results of such analysis, autonomously decide further data acquisition. The ability to perform local analysis is critical in order to reduce the transmission costs and latency as the results of an analysis are usually smaller in size than the original data. As an example, in case of strict real-time requirements, the analysis results can be transmitted in real-time, whereas the actual collected data can be uploaded later on. The ability to autonomously decide about further data acquisition enhances scalability and reduces the need of real-time human involvement in data acquisition processes, especially in contexts with critical real-time requirements. The paper focuses on deep neural networks and discusses techniques for supporting transfer learning and pruning, so to reduce the times for training the networks and the size of the networks for deployment at IoT devices. We also discuss approaches based on machine learning reinforcement techniques enhancing the autonomy of IoT devices.

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

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.

A real time, wireless and low cost data acquisition system for residential PV modules

2020 ◽  
Author(s):  
Cheyma BARKA ◽  
Hanen MESSAOUDI-ABID ◽  
Houda BEN ATTIA SETTHOM ◽  
Afef BENNANI-BEN ABDELGHANI ◽  
Ilhem SLAMA-BELKHODJA ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Low Cost ◽  
Data Acquisition System ◽  
Cost Data ◽  
Acquisition System ◽  
Pv Modules

scholarly journals Development of the Cloud-Based Magnetic Data Acquisition System for Real Time Geomagnetic Monitoring

2021 ◽  
Vol 1768 (1) ◽  
pp. 012017
Author(s):  
K Burhanudin ◽  
M H Jusoh ◽  
Z I Abdul Latiff ◽  
M S Suaimi ◽  
Z Ibrahim ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Magnetic Data
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