Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals

2017 ◽  
Vol 138 ◽  
pp. 167-174 ◽  
Author(s):  
Nestor N. Deniz ◽  
José O. Chelotti ◽  
Julio R. Galli ◽  
Alejandra M. Planisich ◽  
Marcelo J. Larripa ◽  
...  
Author(s):  
Wei Huang ◽  
Shanglu Yang ◽  
Dechao Lin ◽  
Radovan Kovacevic

Nowadays high-strength steels have great applications in different industries due to their good combination of formability, weldability, and high strength-to-weight ratio. To guarantee a high quality without the presence of defects such as partial penetration (PP) in the laser welding of high-strength steels, it is very important to on-line monitor the whole welding process. While optical sensors are widely applied to monitor the laser welding process, we are proposing to use a microphone to acquire the airborne acoustic signals produced during laser welding of high-strength steel DP980. In order to extract valuable information from a very noisy signal acquired in a harsh environment such as industrial welding, spectral subtraction (SS), a noise reduction method is used to process the acquired airborne sound signals. Furthermore, by applying the power spectrum density (PSD) estimation method, the frequency characteristics of the acoustic signals are analyzed as well. The results indicate that the welds in full penetration (FP) and PP produce different signatures of acoustic signals that are characterized with different sound pressure levels and frequency distributions ranging from 500 Hz to 1500 Hz. Based on these differences, two algorithms are developed to distinguish the FP from PP during the laser welding process. A real-time monitoring system is implemented by a LabVIEW-based graphic program developed in this research. A feedback control system that could guarantee the FP will be developed in the near future.


2015 ◽  
Vol 751 ◽  
pp. 281-286 ◽  
Author(s):  
Mei Mei Wu

The article mainly introduced the design and implementation of food cold chain monitoring system, Introduces the realization method of ZigBee, GPS, GPRS, GIS, embedded system and remote database and remote access technology based on the network, Realized the environment real-time monitoring and real-time location information records to the cold chain transportation of refrigerator truck, and can access it from the remote network.


Author(s):  
Md. Monirul Islam ◽  
Mohammad Abul Kashem ◽  
Jia Uddin

Aquaculture is the farming of aquatic organisms in natural, controlled marine and freshwater environments. The real-time monitoring of aquatic environmental parameters is very important in fish farming. Internet of things (IoT) can play a vital role in the real-time monitoring. This paper presents an IoT framework for the efficient monitoring and effective control of different aquatic environmental parameters related to the water. The proposed system is implemented as an embedded system using sensors and an Arduino. Different sensors including pH, temperature, and turbidity, ultrasonic are placed in cultivating pond water and each of them is connected to a common microcontroller board built on an Arduino Uno. The sensors read the data from the water and store it as a comma-separated values (CSV) file in an IoT cloud named ThingSpeak through the Arduino microcontroller. To validate the experiment, we collected data from 5 ponds of various sizes and environments. After experimental evaluation, it was observed among 5 ponds, only three ponds were perfect for fish farming, where these 3 ponds only satisfied the standard reference values of pH (6.5-8.5), temperature (16-24 °C), turbidity (below 10 ntu), conductivity (970-1825 μS/cm), and depth (1-4) meter. At the end of this paper, a complete hardware implementation of this proposed IoT framework for a real-time aquatic environment monitoring system is presented.


Author(s):  
U. Subha ◽  
N. Dinesh ◽  
T. Satish Kumar ◽  
K. Sai Kumar ◽  
G. Bala Sampath Reddy ◽  
...  

In this project represents the real time monitoring of a distribution transformation based on iot, i.e. Implemented on a mobile embedded system to measure to load current, voltage, temperature and humidity. The internet of things is an online based working of physical devices, vehicles and other objects which consists of an embedded system with sensors, actuators and network connectivity that collect and exchange data. The iot allows the objects to be sensed and/or controlled remotely across the existing network of the physical world into computer-based systems, and result in improved accuracy, efficiency and economic benefits. It is installed at the distribution transformer site. The load current, voltage, temperature and humidity of the distribution transformer is measured by the sensors are processed and recorded in the system memory. The system is programmed with a code to check the abnormal condition. The iot will help the utilities to monitor the distribution transformer in minute to minute date transfer to the user to identify the problems before any catastrophicfailure occurs. Hence the minute to minute monitoring of a distribution transformer health measuring will help us to identify or predict the unexpected situations before any fault occurs which leads to a greater economic loss.


2015 ◽  
Vol 742 ◽  
pp. 216-220
Author(s):  
Yang Feng ◽  
Long Zhou

This paper proposes the introduction of embedded technology in dust monitoring system to realize real-time monitoring online in factories. Taking S3C2440 as hardware platform and embedded Linux the developmental environment, the system also introduces a development kit Qt/Embedded from high-performance embedded system GUI. With a soft-hardware system scheme, it realizes the design of real-time monitoring on parameters like dust concentration in the air. Much emphasis has been laid on the analysis of system composition, working theory, hardware design and software development. Integrating functions of displaying, information processing, monitoring etc., the system has such advantages as high-speed, accuracy, high sensitivity and stable performance, and can be matched with various monitoring systems.


2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh

Sign in / Sign up

Export Citation Format

Share Document