ITM Web Conf.
Volume 45, 20222021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|Number of page(s)||10|
|Section||Computer Technology and System Design|
|Published online||19 May 2022|
Design and implementation of forest fire monitoring system based on internet of things technology
The School of Information and Engineering, Xi’an Eurasia University, Xi’an, 710065, China
* Corresponding author: firstname.lastname@example.org
In view of the frequent forest fire problem, this design uses the Internet of Things technology to design a forest fire monitoring system. This system is composed of data acquisition module, data processing module, display module, locating module and alarm module. The data collection module is responsible for collecting forest temperature values and concentration values of smoke. The collected data is processed by the data processing module, and the processed data is displayed in real time by the display module. When the collected temperature or smoke concentration exceeds the thresholds, the GPS locating module is activated to locate the event. Then, the forest temperature value, smoke value exceeding the threshold and location information are sent to the manager’ s mobile phone in the form of SMS through the Sim800 SMS alarm module for alarm. After experiment, the accuracy of temperature module in this design is ±2°C; The accuracy of smoke density module is ±5Pm; The accuracy of location is ±100m. This design has the characteristics of small size, easy placement, large monitoring range, low cost and high sensitivity, which is suitable for further popularization and application.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.