scholarly journals Data Management System for a Semiautonomous Shuttle Car for Underground Room and Pillar Coal Mines

Automation ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 153-172
Author(s):  
Vasilis Androulakis ◽  
Steven Schafrik ◽  
Joseph Sottile ◽  
Zach Agioutantis
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Real Time ◽  
Data Storage ◽  
Autonomous Navigation ◽  
Management System ◽  
Reliable Data ◽  
The Other ◽  
Data Management System ◽  
Shuttle Car

In recent years, autonomous solutions in the multidisciplinary field of mining engineering have been an extremely popular applied research topic. This is a result of the increasing demands of society on mineral resources along with the accelerating exploitation of the currently economically viable resources, which lead the mining sector to turn to deeper, more-difficult-to-mine orebodies. An appropriate data management system comprises a crucial aspect of the designing and the engineering of a system that involves autonomous or semiautonomous vehicles. The vast volume of data collected from onboard sensors, as well as from a potential IoT network dispersed around a smart mine, necessitates the development of a reliable data management strategy. Ideally, this strategy will allow for fast and asynchronous access to the data for real-time processing and decision-making purposes as well as for visualization through a corresponding human–machine interface. The proposed system has been developed for autonomous navigation of a coalmine shuttle car and has been implemented on a 1/6th scale shuttle car in a mock mine. It comprises three separate nodes, namely, a data collection node, a data management node, and a data processing and visualization node. This approach was dictated by the large amount of collected data and the need to ensure uninterrupted and fast data management and flow. The implementation of an SQL database server allows for asynchronous, real-time, and reliable data management, including data storage and retrieval. On the other hand, this approach introduces latencies between the data management node and the other two nodes. In general, these latencies include sensor latencies, network latencies, and processing latencies. However, the data processing and visualization module is able to retrieve and process the latest data and make a decision about the next optimal movement of the shuttle car prototype in less than 900 ms. This allows the prototype to navigate efficiently around the pillars without interruptions.

Database Considerations for an ICU Patient Data Management System

1991 ◽  
Author(s):  
N. Fumai ◽  
C. Collet ◽  
M. Petroni ◽  
K. Roger ◽  
E. Saab ◽  
...  
Keyword(s):  
Data Management ◽  
Real Time ◽  
Data Storage ◽  
Relational Database ◽  
Management System ◽  
Patient Data ◽  
Patient Data Management System ◽  
Data Management System ◽  
Data Types ◽  
Management Structure

Abstract A Patient Data Management System (PDMS) is being developed for use in the Intensive Care Unit (ICU) of the Montreal Children’s Hospital. The PDMS acquires real-time patient data from a network of physiological bedside monitors and facilitates the review and interpretation of this data by presenting it as graphical trends, charts and plots on a color video display. Due to the large amounts of data involved, the data storage and data management processes are an important task of the PDMS. The data management structure must integrate varied data types and provide database support for different applications, while preserving the real-time acquisition of network data. This paper outlines a new data management structure which is based primarily on OS/2’s Extended Edition relational database. The relational database design is expected to solve the query shortcomings of the previous data management structure, as well as offer support for security and concurrency. The discussion will also highlight future advantages available from a network implementation.

Tiered data management system: Accelerating data processing on HPC systems

2019 ◽  
Vol 101 ◽  
pp. 894-908 ◽  
Author(s):  
Peng Cheng ◽  
Yutong Lu ◽  
Yunfei Du ◽  
Zhiguang Chen
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Management System ◽  
Data Management System

Applications of Distributed Parallel Real Time Database on Power Grid

2013 ◽  
Vol 816-817 ◽  
pp. 488-492
Author(s):  
Li Xin Li ◽  
Wei Zhou ◽  
Qi Qiang Sun ◽  
Jiao Dai ◽  
Ji Zhong Han ◽  
...  
Keyword(s):  
Data Management ◽  
Real Time ◽  
Management System ◽  
Power Grid ◽  
Database Design ◽  
Experimental Results ◽  
Data Management System ◽  
Meta Data ◽  
The Real ◽  
Real Time Database

In order to make the real time database more suitable for the computing features, this article points to the distributed and parallel real time database design and architecture. First, a mapping table from table file to machine nodes is established, and then can use meta-data management system to store and manage the mapping table to meet the characteristics of high concurrent access. The whole network computation can access the unified interface provided by the real-time database, retrive data from each node, then collect the data. Experimental results show that this study and the systems designed can meet the computing requirements of a unified whole network.

Research on Data Management System for Live Detection

2015 ◽  
Vol 734 ◽  
pp. 22-26
Author(s):  
Ying Chen ◽  
Hui Fen Liao ◽  
Qian Peng ◽  
Wei Wang ◽  
Yong Xing Cao ◽  
...  
Keyword(s):  
Information System ◽  
Power System ◽  
Data Management ◽  
Data Storage ◽  
Management System ◽  
Secure Communication ◽  
Field Testing ◽  
Electric Power System ◽  
Data Management System ◽  
Secure Access

In order to raise the efficiency of on-site live detection, we proposed a new study of live detection data management system which based piconet and Electric Power System Secure Access Platform(EPSSAP). Piconet of comprehensive multi professional testing equipments with Bluetooth technology is established to wireless acquisite field testing data. Using mobile APN secure access technology, secure communication between the intranet information system and PC power system is realized. Application of the platform will provide basis for a unified multiple data acquisition system, extend functions of intranet information system, such as data storage, information processing regulate the process of on-site live detection work and improve the efficiency of the use of live detection data.

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