Remote data acquisition system using ARM9 and GNU/Linux

• Main Author: Alaa Abdalhussain, Mashkor
• Other Authors: Prof. Dr. R. Badlishah Ahmad
• Format: Thesis
• Language: English
• Published: Universiti Malaysia Perlis (UniMAP) 2016
• Subjects: Data Acquisition System (DAS); Embedded Data Acquisition System; Data acquisition; ARM9; GNU/Linux (RDAS)
• Online Access: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41297
• Institution: Universiti Malaysia Perlis

Now a days, various Data Acquisition System (DAS) is available in the market. The basic operation of all DASs are same; the differences found in terms of hardware architectures, sampling rate, resolution, data acquisition channel supports, costs, size, user friendly features, etc. This research project focuses on design and development of a proposed Embedded Data Acquisition System which interesting features are, variable channel support (8 to 64), two notification types by Short Message Service (SMS) and email send to user when receive any channel unexpected value, web monitoring system as well as manage to work in remote area; so, called Remote Data acquisition System using ARM9 and GNU/Linux (RDAS). In this research, the development phase consists of a Single Board Computer (SBC, TS-7800) as a processing unit, GNU/Linux based Embedded Debian 7 Operating System (OS) as a application development platform and customized kernel module to support new hardware like 3G modem to send notification to the remote area also using the TS-7800 SBC as database and web server which contain the data collected and can access this database through network by web browser. RDAS application module is separated into Initial Module (IM), which initiate all kernel and user level necessary modules; Analysis Module (AM), analyze the input data through the ADC channels either error data or actual data and save into embedded database; error data inform the Notification Module (NM) to notify user by SMS and email; and the Monitoring Module (MM) is a web based application by which user able to explore real and historic data status through any web browser.