Development of Low-Power Forest Fire Water Bucket Liquid Level and Fire Situation Monitoring Device

Read full text
Authors: Xiongwei Lou, Shihong Chen, Linhao Sun, Xinyu Zheng, Siqi Huang, Chen Dong, Dashen Wu, Hao Liang, Guangyu Jiang
Cited by: 0

Abstract

A portable and integrated monitoring device was developed to digitally assess both water levels and surrounding fire-related conditions in forest firefighting water buckets using multi-sensor fusion. The system integrates a hydrostatic liquid-level sensor with temperature–humidity and smoke sensors. Validation was performed through field-oriented experiments conducted under semi-controlled conditions. Water-level measurements were collected over a three-month period under simulated forest conditions and benchmarked against conventional steel-ruler readings. Early-stage fire monitoring experiments were carried out using dry wood and leaf litter under varying wind speeds, wind directions, and representative extreme weather conditions. The device achieved a mean water-level bias of −0.60%, a root-mean-square error of 0.64%, and an overall accuracy of 99.36%. Fire monitoring reached a maximum detection distance of 7.30 m under calm conditions and extended to 16.50 m under strong downwind conditions, with performance decreasing toward crosswind directions. Stable operation was observed during periods of strong winds associated with typhoon events, as well as prolonged high-temperature exposure. The primary novelty of this work lies in the conceptualization of a Collaborative Forest Resource–Hazard Monitoring Architecture. Unlike traditional isolated sensors, our proposed framework utilizes a dual-domain decision-making model that simultaneously assesses water-bucket storage stability and micro-scale fire threats. By implementing a robust ‘sensing–logic–alert’ framework tailored for rugged environments, this study offers a new methodological reference for the intelligent management of forest firefighting resources.

Fields of Study & Subjects

Fire Detection and Safety Systems Advanced Sensor and Control Systems Arduino and IoT Applications

Publication details

Journal / source
Forests
Volume
17
Issue
1
Pages
126–126
Publication date
16 January 2026
Language
EN