Landslide early warning system based on arduino with soil movement and humidity sensors

Purnomo, Fendi Aji; Yoeseph, Nanang Maulana; Abisatya, Gembong Wijang

doi:10.1088/1742-6596/1153/1/012034

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…The authors interfaced Arduino with a Raspberry Pi microprocessor to stream landslide alerts to a web repository in near real‐time. The works of Aji Purnomo et al (2019) and Sajith et al (2020) show that Arduino is an inexpensive and versatile platform to design equipment for slope monitoring. Arduino also has been used to measure subsoil seismic wave amplification.…”

Section: Resultsmentioning

confidence: 99%

“…Arduino has proven to be useful to monitor slopes and even underground conditions. Aji Purnomo et al (2019) used a soil humidity sensor and a string potentiometer to measure slope displacement and evaluate landslide hazard. A similar approach, but also including an accelerometer and a vibration sensor, was devised by Sajith et al (2020).…”

Section: Arduino and Natural Hazardsmentioning

confidence: 99%

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Arduino data loggers: A helping hand in physical geography

Anacona

Luján

Azócar

et al. 2022

Geographical Journal

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Microcontrollers such as Arduino have been increasingly used by researchers to create and customise their own tools. In geography, microcontrollers are frequently used to design data loggers for monitoring purposes. We reviewed the use of Arduino in physical geography to unravel the opportunities and challenges of using off‐the‐shelf tools in research. We conducted a literature review, putting the retrieved information in perspective with our experimental work in mountainous and riverine landscapes in Chile and Peru. We show that the low cost and versatility of Do It Yourself (DIY) data loggers open research opportunities, extending the range of application of their expensive commercial counterparts. The possibility of connecting Arduino to a wide range of sensors, actuators, and wireless communication devices has helped to monitor rivers, glaciers, lakes, ice‐waves, caves, and landslides, improving the temporal and spatial resolution of data collected in critical environments. Low‐cost sensors have been extensively compared against expensive alternatives with good results, although they require thorough testing before field deployment due to the common existence of defective equipment. Building research equipment has several challenges. DIY data loggers might not be unconditionally accepted by environmental agencies, partially restricting their use to educational and research purposes. Failures in data loggers can be difficult to track, since they might be related to coding, electronic assemblage, or inadequate housing to withstand outdoor use. Yet, Arduino‐based data loggers have helped scientists around the world in different stages of their career, especially in scarcely funded research endeavours. Arduino has boosted creativity and resourcefulness, paving the way for innovative monitoring strategies in physical geography.

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Section: Resultsmentioning

confidence: 99%

Section: Arduino and Natural Hazardsmentioning

confidence: 99%

Arduino data loggers: A helping hand in physical geography

Anacona

Luján

Azócar

et al. 2022

Geographical Journal

View full text Add to dashboard Cite

show abstract

“…Data loggers are electronic devices equipped with sensors that collect and store information from their surrounding environment. They are, among other things, used in decision support systems [1] or in early warning systems [2]. Typical parameters that can be monitored with sensors are temperature, relative humidity, pressure, the intensity of visible light, or the concentration of gaseous or particulate pollutants in the air.…”

Section: Introductionmentioning

confidence: 99%

Reliability Testing of a Low-Cost, Multi-Purpose Arduino-Based Data Logger Deployed in Several Applications Such as Outdoor Air Quality, Human Activity, Motion, and Exhaust Gas Monitoring

Hernández-Rodríguez,

González-Rivero,

Schalm

et al. 2023

Sensors

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This contribution shows the possibilities of applying a low-cost, multi-purpose data logger built around an Arduino Mega 2560 single-board computer. Most projects use this kind of hardware to develop single-purpose data loggers. In this work, a data logger with a more general hardware and software architecture was built to perform measurement campaigns in very different domains. The wide applicability of this data logger was demonstrated with short-term monitoring campaigns in relation to outdoor air quality, human activity in an office, motion of a journey on a bike, and exhaust gas monitoring of a diesel generator. In addition, an assessment process and corresponding evaluation framework are proposed to assess the credibility of low-cost scientific devices built in-house. The experiences acquired during the development of the system and the short measurement campaigns were used as inputs in the assessment process. The assessment showed that the system scores positively on most product-related targets. However, unexpected events affect the assessment over the longer term. This makes the development of low-cost scientific devices harder than expected. To assure stability and long-term performance of this type of design, continuous evaluation and regular engineering corrections are needed throughout longer testing periods.

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“…Several studies have produced electronic instrument designs that can observe and detect signs of landslides using various methods. Fandi et al [2] made a landslide detector using a sliding potentiometer and soil moisture sensor to detect the soil movement and soil moisture. ATMega328 microcontroller is used as a centre for processing information derived from sensors.…”

Section: Introductionmentioning

confidence: 99%

“…In this research, we combine the early detection of landslides signs in research [2] and [3] to propose a simple and low-cost prototype design for monitoring and detecting landslide potentials. We adopt sensor system from [1], which detects based on soil movement and soil moisture.…”

Section: Introductionmentioning

confidence: 99%

Prototype Design of Landslide Early Detection System Using LoRa and IoT

Taqwa¹,

Fadhli²,

Soim³

et al. 2021

Atlantis Highlights in Engineering

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This paper proposes a simple and low-cost landslide early detection system design. This system uses two sensors, namely the HC-SR04 ultrasonic sensor, to detect the soil movement and the YL-69 soil moisture sensor to detect soil moisture levels. Sensor data is processed using Arduino Uno. The soil movement and soil moisture data are sent to the receiving node using the LoRa communication system so that residents around locations with the potential for landslides can access data from the sensor nodes for free. This system is also equipped with an IoT system by using Thingspeak as an IoT platform. Based on the design and testing results, the LoRa system can work well at 250 meters in the channel with many buildings and trees. This research also designs an application to access sensor data via the Thingspeak web server using an Android device.

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Landslide early warning system based on arduino with soil movement and humidity sensors

Cited by 6 publications

References 5 publications

Arduino data loggers: A helping hand in physical geography

Arduino data loggers: A helping hand in physical geography

Reliability Testing of a Low-Cost, Multi-Purpose Arduino-Based Data Logger Deployed in Several Applications Such as Outdoor Air Quality, Human Activity, Motion, and Exhaust Gas Monitoring

Prototype Design of Landslide Early Detection System Using LoRa and IoT

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