Environmental wireless sensor network using raspberry Pi 3 for greenhouse monitoring system

2017 ◽  
Author(s):  
Roselle B. Anire ◽  
Febus Reidj G. Cruz ◽  
Ireneo C. Agulto
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Raspberry Pi

scholarly journals Implementation of Workshop Air Pollution Monitoring System Based On Wireless Sensor Network

2019 ◽  
pp. 61-71
Keyword(s):  
Air Pollution ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Welding Process ◽  
Civil Defense ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Raspberry Pi ◽  
Air Pollution Monitoring

Workshop contamination can lead to changes in the characteristics of the air. Welding process for example inside the workshop will generate different pollutants just like fume and gases. These gases may threat the environment. Also the direct exposure of these gases by people inside the workshop may be considered as a risk on their health. For all reasons mentioned above air pollution monitoring system is important issue to decrease the risk of low level of health. This paper introduces the implementation of wireless sensor network to monitor a workshop air pollution. The proposed system prototype contains a set of gas sensors (CO, H2, NH3, Butane, Propane, Ethanol and NO2) which are deployed on stack and infrastructure of Wireless sensor Network. These sensors are calibrated using appropriate calibration technologies. They are controlled by ARDUINO based microcontroller. Also there is the main server which Installed on raspberry pi 3 and contains the main database of the system which supports real time management strategies by using the web interface to monitor the air pollution in form of numbers and charts. Sensors which controlled by ARDUINO platform are connected to the server using the wireless technology (Wi-Fi) and the communication is done by using Message Queuing Telemetry Transport protocol (MQTT).When the level of Carbon Monoxide gas is above the threshold the system will send an alert email to the department of the civil defense. The system is checked and tested in the training workshops of University of Technology to measure the levels of harmful gases which may harm the people in the workshops.

Precision agriculture monitoring system using wireless sensor network and Raspberry Pi local server

2016 ◽  
Author(s):  
Kristoffer O. Flores ◽  
Isidro M. Butaslac ◽  
Jon Enric M. Gonzales ◽  
Samuel Matthew G. Dumlao ◽  
Rosula S.J. Reyes
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Precision Agriculture ◽  
Wireless Sensor ◽  
Raspberry Pi

scholarly journals Water Quality Monitoring System for Aquaponics and Fishpond using Wireless Sensor Network

2020 ◽  
Vol 9 (3) ◽  
pp. 51-54
Keyword(s):  
Water Quality ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Human Resource ◽  
Monitoring System ◽  
Water Quality Monitoring ◽  
Base Station ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Raspberry Pi

The higher the human population, the higher the demand for food supply from the agriculture sector. However, healthy and environment-friendly plant-based food production is very time-consuming. Water quality checking by the human resource is no longer efficient in the presence of technology today. Thus, a water quality monitoring system for aquaponics and fishpond is proposed in this study adapting the use of Wireless Sensor Network (WSN), Message Queuing Telemetry Transport (MQTT) protocol, and Wi-Fi signal. The completed system was successfully tested and implemented at the Malaysian Institute of Sustainable Agriculture (MISA). The devices send measurements to a base station which hosted a web server which can be viewed both locally and via the Internet. Results show the system is practical in use as it is both stable and reliable with 5 seconds maximum measurement refresh rate on its dashboard. Thus, reduces human dependency for monitoring the water quality of both the aquaponics and fishpond. Human resource can then be allocated to more crucial roles. Room for improvement includes complete use of solar renewable energy, adding Wi-Fi extender for large scale implementation, and equipping the Raspberry Pi with a cooling fan. This is the step forward to modernising agriculture.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

Sign in / Sign up

Export Citation Format

Share Document