3 Ingeniero Electricista con énfasis en electrónica, Doctor en Ciencias, Universidad de Pamplona, Pamplona, Colombia. E-mail: apar- firstname.lastname@example.org
En este artículo se presenta el desarrollo de un siste- ma para el monitoreo inalámbrico de variables climá- ticas. El diseño se realizó a partir de microcontrolado- res de Microchip, los cuales realizan la adquisición, almacenamiento y transmisión inalámbrica de las se- ñales digitales. Igualmente, el microcontrolador em- plea un reloj en tiempo real para saber la fecha y hora de adquisición de las muestras. El hardware también cuenta con cinco canales para la conexión de senso- res y una memoria Micro SD para almacenamiento de información, junto con un módulo Wi-Fi para la supervisión inalámbrica de las variables. La informa- ción se sube a un servidor que aloja la página web, diseñada para visualizar los datos desde cualquier ordenador con conexión a internet. Adicionalmente, se desarrolló una aplicación Android que permite vi- sualizar los datos desde dispositivos móviles con ese sistema operativo. El rendimiento del sistema fue sa- tisfactorio, luego de comparar los datos adquiridos con los de una estación meteorológica comercial, que sirvió de patrón. Se concluye que los microcon- troladores continúan siendo dispositivos adecuados para implementar sistemas de adquisición de datos, que al ser combinados con aplicativos desarrollados a la medida, brindan soluciones competitivas y a un costo razonable.
This study explored the potentials of computer intelligence to enhance the discovery of possible causes for the Dead Sea starvation. Machine learning algorithms tried to en- hance the monitoring of the waterbody by unveiling hidden relationships between var- ious input variables. Meteorologicalvariables and remote sensing datasets from differ- ent sources were analyzed experimentally. The experimental results led to formulating two models that represent the relationship between several variables and the Dead Sea water level. Modeling the shrinkage rate using meteorologicalvariables and water flows outperformed the other models significantly. However, the task was challenging due to the difficulty in data collection. The overall conclusion shows that computer intelli- gence can contribute in the sustainable development of the Dead Sea. On the other hand, the datasets quality is essential for drawing precise results. Further future work intends to seek high quality datasets to leverage the accuracy of the developed models, which includes other factors as the industrial consumption.
In this growing wireless environment, it is desirable to acquire data wirelessly and to make system free from complexity of cabling so aim is to develop wirelessdataacquisitionsystem based on IOT controller which will reduce cost, size, improve power saving capabilities and high speed data transfer. In Real time there will be approximately ten thousands of pump(parallel pumping system) will be mounted at any industry or Firm so it is difficult to control and monitor this pump using man or any other devices.so this system will monitoring this pumps and send data to the cloud using Wi-Fi technology over MQTT(Message Queuing Telemetry Transport) protocol.
In this work, a computer-based remote wirelessdataacquisitionsystem for monitoring peat water treatment data is proposed. A set of sensors are used to measure water treatment data (level, conductivity, and pH). Also a set of actuators (pump, ozone generator, and valve) are included in this system to take action based on sensor signal received by controller. The sensor signals are first filtered and amplified using precision electronic circuits in PLC and then are transferred to a PC using a wireless unit. The collected data are further processed, displayed on the monitor and stored in the disk using the KINGVIEW software. The TCP/IP is set on PLC, PC/notebook and application program to make remote accessibility on the peat water treatment system using wireless device. This method has the advantages of rapid dataacquisitionsystem development and provides an easy-to-use graphical environment that permits the system operators to process easily the collected data.
P collision = 600 ms/5.6 s= 0,107 (1) Another event in the experiment was studied in relation to use of IP cameras that was coupled with the dataacquisitionsystem for viewing the experiment environ- ment provided good interactivity between the researchers and the experiment, since there was no need for the researcher or professional to be present at the time of data collection. Figure 14 show the remote image of herd displacement in the experimental area. The system also allowed the digital vi- deo recording of various experiment fragments, which was generated by the camera attached to the first FRBS.
Fig 11: Temperature control block diagram The block diagram shows how the system works to control the temperature of a water tank, where the user determines the desired temperature (Setpoint) through a program performed in the LabView software environment , so that the PID controller, programmatically designed within LabView compares the value of the temperature sensed by the temperature sensor, which is collected wirelessly (using Xbee modules), with the desired temperature (Setpoint) and based on the difference between the two temperatures, the controller gives the command to the operator (rely), which runs the heater. The heating device continues to function until the measured heat value is equal to the desired heat value and the controller gives the operator a disconnection command. The monitoring interface for the designed control system is built as shown in Figure 14, through which the measured temperature can be read instantaneously. A measured temperature graph is displayed (graph at the bottom and right of the interface) and a PID controller output graph (graph at the top and right of the interface). It can also set the desired temperature value (setpoint) and set the parameters of the PID ( ، ، ) to get the best response. Figure 12 shows the block diagram of the designed interface.
been developed for precise position and speed control of mobile robot. The wireless control of mobile robot and monitored dataacquisition is accomplished using zigbee wireless protocol. In  the author implemented a dynamic and smart wireless mesh sensor network for aquaculture and water quality management applications. This system utilizes the Waspmote embedded systems platform developed by Libelium, mesh networking transceivers from Digi International and smart sensors from UNISM to implement a novel smart Wireless Mesh Sensor network –Aquamesh with multiple gateways of different technologies (Zigbee, GPRS and WIFI). The system is designed to continuously monitor aqua- environmental parameters and then initiate an alert or early warning to system user when certain thresholds are exceeded. The data generated from this system is stored locally on the gateway or sent to a remote web server. Data on the local database or remote web server can be accessed with smart mobile phones or personal computers.
In current technology scenario, monitoring of gases produced is very important. From home appliances such as air conditioners to electric chimneys and safety systems at industries monitoring of gases is very crucial. Gas sensors are very important part of such systems. Small like a nose, gas sensors spontaneously react to the gas present, thus keeping the system updated about any alterations that occur in the concentration of molecules at gaseous state.
The dataacquisition and communication circuit has the structure defined in the block diagram shown in Figure 2. It consists basically of transducers, microcontroller and RF module. The microcontroller is responsible for performing the sensors readings, handling the information read and sending them to the RF (Radio Frequency) module. This transmits the rotor temperature values to a computer that can use them for monitoring and/or control.
The main use of this module helps in an industry during the worst cases as the analog device may be damaged may be during the fire accidents, etc.But with the wireless transmission we not have an accurate data but when compared to the analog failure the errors are very minimum so we use wireless to monitor the parameter in an industry where their no means of human interface to monitor the parameters In this paper we deal to monitor the parameter throughwireless by using zigbee ready platform which is based on the IEEE 802.15.4, 2.4 GHz, in this module we use msp 430 for the voltage and other technical parameters, which has in build RAM in it. The working of this module is simple in principle, the changes in certain place is monitor in real time process which is very accurate in monitoring and their no other interface and other disturbance in monitoring the parameter in this project we monitor temperature and humidity with the help of respective sensors. The change in the room temperature, humidity can be monitored like real time as the change is displayed in respective interval in the visual basic screen.
Pulse Oximeter based on compressed sensing approach, samples the photodetector output in order to save the sensor Power . Pulse oximeter for measuring arterial oxygen saturation based on Fuzzy Logic . Low cost pulse pulse oximeter for remote patient monitoring which is useful for new born infants during surgery and to determine hypoxia . Pulse oximetry system with an energy efficient transimpedance amplifier . Wireless low power pulse oximetry system for patient telemonitoring . Pulse rate and SpO 2 measurement using Lab View software .
The recent developments in technology enabled profes- sionals to use real time wirelessdataacquisition (WDAS) technology in several areas including structural health monitoring and security systems, manufacturing plants, and health-care applications [1-3]. One of the common problems in WDAS is the distance between receiver and transmitter to have high accuracy and low cost [4,5]. If multiple measurements are required, this problem then gets worse and transmission problem and system imple- mentation difficulties arise. Multiple input and multiple output (MIMO) systems usually require several antennas at the transmitted and receiver locations. This adds an- other challenge to the system implementation by in- creasing the circuit complexity and its associated cost.
To simulate high load, 8 virtual sensors were enabled on each SmartDAQ unit and total of 4 SmartDAQs were deployed (Fig. 5). Moreover, a 5th Smart DAQ was deployed with 6 virtual sensors plus one actual sensor (Fig. 6a). Finally, a single collection point was connected to a PC (Fig. 6b). The PC was updated with the required software components to enable the post-processing, reliability analysis, DSS and transmission to shore components. Virtual sensors were used instead of actual sensors for most of the SmartDAQs in this case study because there were no sufficient number of physical sensors available in the laboratory engine room to provide a significant load to the system. A virtual sensor is a bypass of the signal conditioning hardware as the readings are not sampled from the analogue input of the board. Instead the sampling unit is wired to a board analogue output. An additional component is enabled per sensor to read data from a file and send it to the analogue output. The system operates as if it was reading an actual wired signal through the analogue input. Hence, the process is imitating an actual sensor connection and respects the integrity and coherency of the presented system components. Each Smart DAQ was housed in a small non-metal box to protect the wiring (Fig. 5a, 5b) apart from the one connected to the actual sensor (Fig. 6a).
Abstract— The aim of our project is to design & develop a Weather DataAcquisitionSystem. In these project we are measuring the various weather parameter like temperature, humidity, pressure and along with these we are displaying the concentration of CO gas. By using micro controller ATMEGA 16. We are going to display data on LCD and save data so that we can access the previous record. These weather monitoring will provide a temperature and other parameter of very short region, so we are able to get the actual weather parameter present in that region. Wirelessacquisition of the data can be obtained using module CC2500. Module CC2500 is use to transmit and receive datawireless. The data can be received on USB port of PC and parameter can be displayed on monitor.
ABSTRACT: In industry monitoring of system and dataacquisition for a system is done manually. Now the technology has developed. Aim of this paper is to get the dataacquisition report of a system for day, week and month automatically using wireless technology. Temperature data is collected through a sensor and it is given to a system and stored in database using wireless technology. Data is transferred from one point of the system to a server at a different location using Wi-Fi and automated report of temperature data is generated.
Atmosphere surrounds the earth. All the living beings are surrounded by the atmosphere .So we need to measure different parameters of atmosphere which have the impact on human health. The various parameters include the atmospheric pressure, humidity and various gases. This project is a simple wireless sensor based air quality monitoring and dataacquisitionsystem for industrial and urban areas. The framework comprises of temperature sensor, humidity sensor, pressure sensor and a set of gas sensors (like carbon monoxide, smoke). In case of unexpected values the system sets the buzzer on. Wireless transmission is efficient technology which can accumulate and measure parameters from real world.
The system designed in this paper is to carry out monitoring experiments in several cities and counties in Anhui Province. It is necessary to analyze and predict the development trend of agricultural production according to the specific agricultural meteorological conditions in each place. Therefore, each monitoring site must be able to feedback geographical location information. Global Positioning System (GPS) can provide high-precision technical parameters such as three-dimensional coordinates, three-dimensional speed, and time information continuously to any user around the world. The GPS module integrates an RF radio frequency chip, a baseband chip, and a core CPU. An integrated circuit composed of related peripheral circuits. At present, there are many kinds of GPS modules, and the performance and price are quite different. Considering the cost performance problem, this paper uses NEO-6M GPS module to design. NEO-6M GPS module uses UBLOXNEO-6M chip design, superior performance, high performance, low power consumption, is a complete satellite positioning receiver equipment, with a full range of functions, to meet the strict requirements of professional positioning. Its connection circuit is shown in the figure 3.
The proposed system is constructed such that it senses different parameters of patient end which is in ICU, without any interference. Vital parameters like temp, heart rate, ECG can be measured. Sensors at patient end play a vital role in monitoring of parameters. The measured parameters are collected by microcontroller (ARM7: LPC 2148) and converted into digital form, transmitted to Local PC via ZigBee Module which collects all the parameters data and put in the form of array and then transmits this data by converting it into packets to remote server via Modem by establishing the HTTP (Hyper Text Transfer Protocol) connection with remote server. On server side we get all transmitted parameters waveforms continuously in real time. If parameters are exceeding the limits; which are already specified, then an automatic buzzer or alarm is generated to concerned physician / Expert doctor. The proposed system is constructed with low power consumption so that it would not cause much obstruction to patient and also less interference.
3.3 Selection of dataacquisition equipment
The final dataacquisition design was selected during a meeting organised with supervisor Martina Calais, where advantages and disadvantages of different options were discussed. Adam modules were selected over the other options, because they were sufficient for the requirements of simple dataacquisition without the need for logging, storage capacity or microcontroller, as opposed to the DT85M data logger, or National Instrument equipment. Indeed, it was decided to process all the logging and storage data within a Labview environment on a single computer, so that we have a common platform for monitoring of environmental sensors and inverters’ performances. Adam modules also appeared the most adapted option regarding signal types and quantity compared to Acromag units. A price and equipment comparison of the different DAQ options is shown in Table 5.
Many embedded systems have substantially different designs according to their functions and utilities. There is no single characterization for all kinds of embedded systems. Processor based real-time embedded systems are playing an important role in most control applications. An embedded system interacts continuously with its environment and carries out various tasks with certain timing constraints to meet the requirements of system performance . The processor has the dominant influence on an embedded system. The control and acquisitionsystem uses ARM7 LPC2148 16/32-bit RISC microcontroller which is based on a 16-bit/32-bit ARM7TDMI-S CPU with real-time emulation and embedded trace support, that combine microcontroller with embedded high-speed flash memory ranging from 32 kB to 512 kB. A modular design approach is used in the system design. The main modules of the system are Processor module, Ethernet module, UART interface, MMC card. The block diagram of the proposed system is shown in the fig.1