scholarly journals Simulation of the Core Technology of a Greenhouse-Monitoring System Based on a Wireless Sensor Network

2016 ◽  
Vol 12 (05) ◽  
pp. 43 ◽  
Author(s):  
Yuhong Zhou ◽  
Yunfang Xie ◽  
Limin Shao

To solve the topology structure of a greenhouse environment-monitoring system and the ductility of joints, this study presents a design of a greenhouse-monitoring system based on the ZigBee wireless sensor network (WSN). The hardware and software designs of the network node are provided, and the process of the ZigBee network coordinator is elucidated. The system uses the microcontroller unit PIC18F4620CC2420 wireless transceiver module to send and receive data. Data from temperature and humidity sensors are collected using an inter-integrated circuit bus through the ZigBee network transmission to the monitoring platform. Test results show that the system has the advantages of having a simple structure, flexible nodes, and low power consumption. It can effectively monitor the temperature and humidity in a wireless environment. WSNs considerably help in greenhouse environment monitoring. The use of advanced technology to control greenhouse temperature and humidity can satisfy the optimum growth environment of greenhouse crops and effectively improve the yield and quality of crops. The application of WSNs in greenhouse monitoring is significant to the development of modern and precision agriculture in China.

Author(s):  
Jianqing Huang ◽  
Debing Liu ◽  
Qi Yuan

Anthurium is known as a famous and precious cut flower in the world, but its growth and ornamental effect is easily affected by environmental conditions such as temperature, humidity and light intensity. An environment parameter monitoring system based on wireless sensor network is proposed to let flower managers understand the status of anthurium growth environment at any time, and take effective measures to improve the environment. The proposed system uses sensor nodes to acquire data of air temperature and humidity, light intensity and soil temperature and humidity, sink node to collect data from sensor nodes through wireless sensor network, and send data to the PC of monitoring center. By using MSP430F149 as the main controller, nRF905 as the communication module, and AM2306, GY-30 and SMTS-II-485X as the air temperature and humidity, light intensity and soil temperature and humidity sensors, the hardware of the wireless sensor network nodes are realized. The node software is developed based on IAR Embedded Workbench and the computer monitoring software by VB6.0. The results show that the proposed system which is accurate and stable can make real-time monitoring of anthurium growth environment in a large scale.  Therefore it can be widely applied in agricultural environmental monitoring.


2019 ◽  
Vol 4 (2) ◽  
pp. 135-140
Author(s):  
Eko Prayitno ◽  
Desi Amirullah

The purpose of this research is how to make an air condition monitoring system by considering the concentration value of carbon monoxide in Riau Province. The technology used to support monitoring system of carbon monoxide concentration, using Wireless Sensor Network Technology (WSN) and Internet of Things (IoT). One of the WSN concepts to be used is a combination of several sensors, the only sensors used to detect the level of carbonmonoxide concentration include: carbon monoxide, temperature and humidity sensors. Air condition data derived from the sensor in the form of concentration value of carbon monoxide, temperature and humidity of air sent to server connected to network using IoT technology. Based on the test results it can be concluded that the air condition monitoring system using WSN and IoT technology can be applied in realtime, this can be proven with the data shown in the monitoring tool. the detection of a fire source using a sensor can be done by using a distance between a smoke source (hotspot) and a device 90cm. From the observation result there is difference between sensing data without smoke and using smoke, such as temperature has 60C difference, humidity 20 rh and carbon monoxide about 17ppm


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