scholarly journals Data Acquisition and Alert System for Recirculation Aquaculture System (RAS) using Fog Computing

2019 ◽  
Vol 3 (6) ◽  
pp. 6-10
Author(s):  
Siti Maryam Zainol ◽  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Fog Computing ◽  
Processing System ◽  
Raspberry Pi ◽  
Aquaculture System ◽  
Data Collecting ◽  
Level Sensor ◽  
Recirculation Aquaculture System ◽  
Collecting System

This research presents an improved and more effective approach for data acquisition of recirculation aquaculture system (RAS). The previous research, the system uses manual methods to take the important data from RAS and it wastes the time and also gets late response from the fish farmer if the data is not in the good condition. As a result, fog computing technology is applied to overcome all these problems and acts as advance data acquisition system to keep data safely by sharing the processed data in fog computing for every tanks and analyze the data to make an accurate control/decision in the real time. Besides, open source technology plus embedded system based will be integrated for this research because its benefits such as small size, low cost, light weight, portable, high efficiency and low power consumption. This research has achieved the objectives which are design a data collecting system for RAS, design a data processing system using fog computing and integrate, test and validate automatic data collection and processing strategy for recirculation aquaculture system (RAS). The data collecting system for RAS, RaspDAQ is developed by connecting Raspberry Pi 3 to temperature sensor (LM35DT) using analogue digital converter (ADC) MCP3002, water level sensor (HC-SR04), Rpi camera module, LEDs and buzzer. Software and program are built using Python and Apache server to run every functions of RaspDAQ. While third Raspberry Pi 3 is setup as data processing system, RaspFog using PHP, Apache and MySQL server. Both RaspDAQ and RaspFog are based on Raspbian operating system. After that, RaspDAQ1 and RaspDAQ2 are connected to RaspFog using WiFi technology to send sensors data in real time. The received data are stored and plotted using Highcharts.com graph. The data collecting system, RaspDAQ and data server and processor, RaspFog has been tested and validated. At the same time, users can see the graph output in the real time for temperature, water level sensor and real condition using Rpi camera module of RaspDAQ1 and RaspDAQ2 by browsing RaspFog website. From the observation, data has been transferred from RaspDAQ to RaspFog in a short duration which is less than 15 seconds. Consequently, the efficiency of data acquisition process has been improved from manual system to fog computing technology successfully.

Automatic RAS data acquisition and processing system using fog computing

2017 ◽  
Author(s):  
Muhamad Asmi Romli ◽  
Shuhaizar Daud ◽  
Siti Mariam Zainol ◽  
Phak Len Eh Kan ◽  
Zahari Awang Ahmad
Keyword(s):  
Data Acquisition ◽  
Fog Computing ◽  
Processing System ◽  
Data Acquisition And Processing

scholarly journals The Impact of Computers on the Test Cell of Tomorrow

1983 ◽  
Author(s):  
Clifford F. Ash
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Test Procedure ◽  
Processing System ◽  
Open Loop ◽  
Engine Operation ◽  
Computer Data ◽  
Automatic Data ◽  
Data Acquisition And Processing ◽  
The Impact

Rapidly increasing fuel costs, the increasing complexity of the new engines now available, along with the inaccuracies, inefficiencies and long test cycles inherent in manual testing push the cost of engine testing to unnecessary levels. One promising avenue of relief is the automation of gas turbine testing through the use of real-time computer data acquisition and processing systems. Remarkable progress has been made in the area of closed-loop or fully automatic operation of the test process from start-up using various programmable steps, recording results as dictated by the test procedure, controlling operation and a safe engine shut down. This paper discusses the successful application of a real-time computer system with both closed and open-loop capabilities. This particular system called “ADAPS™” (Automatic Data Acquisition and Processing System) handled its first 3,000 hours of engine operation without a single hardware or software interruption. Savings in manpower alone in that period was nearly 18,000 man-hours.

Real-Time FMCW Radar X-Band Signal Acquisition and Visualization

2019 ◽  
pp. 165-179
Author(s):  
Akbar Eslami
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Continuous Wave ◽  
Processing System ◽  
Fmcw Radar ◽  
Weather Radars ◽  
X Band ◽  
Recent Developments ◽  
Visualization Systems ◽  
Pulse Doppler

The recent developments in the remote sensing technologies have resulted in large amounts of data transmitted from spaceborne sensors. To keep up with the volume, speed, and variety of these data, new data acquisition and visualization systems need to be developed. This chapter focuses on some design and development considerations for a real-time data acquisition and visualization of X-band in a frequency-modulated continuous wave (FMCW) radar. Relevant issues such as high-speed network, parallel data processing system, and large-scale storage system are discussed. Ideally, the acquisition system should be capable of concurrent processing at low cost and visualization technique should be in the same time scale with other conventional 2D visualization of X-band weather radars. Benefits of this type of radar are that it is not just safe and inexpensive, but also serves as a means in filling in gaps of higher-powered pulse-doppler radars when used in conjunction with them.

scholarly journals A Smart High-Throughput Experiment Platform for Materials Corrosion Study

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Peng Shi ◽  
Bin Li ◽  
Jindong Huo ◽  
Lei Wen
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Real Time ◽  
High Throughput ◽  
Processing System ◽  
Data Acquisition System ◽  
Data Processing System ◽  
Corrosion Study ◽  
Experiment Platform ◽  
Corrosion Reaction

Materials corrosion study is based on plenty of contrast experiments. Traditional corrosion experiments are time-consuming and require manual corrosion grade evaluating during the experiment. To improve the efficiency of experiment, a high-throughput experiment platform is designed and accomplished. The platform mainly consists of high-throughput corrosion reaction facility, data acquisition system, and data processing system. The corrosion reaction facility supports high-throughput materials corrosion reactions under various conditions. The data acquisition system is mainly responsible for capturing the images of samples’ surface, collecting electrochemical signals, and storing them into the computer in real time. The data processing system treats the acquired data and evaluates the degree of materials corrosion in real time by program automatically. The platform not only reduces the occupation of the equipment but also improves the efficiency of sample preparation and experiment occurrence. The experimental data shows that the platform can accomplish high-throughput corrosion contrast experiment easily and reduce the time cost obviously.

Data Acquisition and Processing System for Vehicle's Braking Performance Based on Visual C++

2010 ◽  
Vol 44-47 ◽  
pp. 3627-3631
Author(s):  
Yong Fu Zhan ◽  
Ren Yun Sun ◽  
Xia Zhang
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Processing System ◽  
Preliminary Test ◽  
Test Results ◽  
Braking Performance ◽  
Data Acquisition Card ◽  
Braking Torque ◽  
Braking Distance ◽  
Data Acquisition And Processing

A new data acquisition and processing system for testing vehicle's braking performance which has the function of storage, real time display and analysis is designed and implemented based on Visual C++ and combined with the multi-function data acquisition card PCI2013. In order to improve the efficiency of the system, we have used multi-thread and multi-level buffer techniques to develop it. The preliminary test results indicate that the system can show the braking performance parameters such as the brake oil pressure, stop time, braking distance, braking torque real time, and draw the corresponding test and analysis curve. So it has been proved that the system can realize real time test, data processing and analysis, test results output and other functions automatically, quickly and accurately and has high feasibility and reliability from the preliminary test results.

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