Development of a low-cost IoT system based on LoRaWAN for monitoring variables related to electrical energy consumption in low voltage networks

Guevara, Nelson E.; Bolaños, Yamir Hernando; Diago, Juan P.; Segura, Juan Manuel

doi:10.1016/j.ohx.2022.e00330

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Wireless communication technology widely used in wireless sensor network applications includes the SX1278 Transceiver module. As one of the LPWAN (Low Power Wireless Access Network) technologies, the SX1278 Transceiver module is designed for end devices, gateways, network servers, and application servers, featuring Long Range capabilities that are resistant to interference and have minimal power consumption (Guevara et al, 2022).…”

Section: Figure 2 Gy-9250 Sensor Modulementioning

confidence: 99%

Prototype of landslide detection alarm based on IoT (Internet of Things) as a physics learning medium

Anisa,

Rahman,

Saehana

2024

joease

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This research aims to create a prototype device in the form of an alarm capable of detecting landslide disasters in Donggala Regency. It is expected to be utilized in the environmental physics subject at the secondary school level. The study utilizes long-range communication (LoRa) and Telegram application as an early warning notification system for landslide disasters. The research method adopts the Research and Development (R&D) design adapted from Sugiyono's development research, consisting of potential and problems, data collection, product design, design validation, product testing, analysis, and reporting. The survey was employed as a data collection instrument. The quality or feasibility of the developed prototype, based on expert validation, indicates a "Very Good" category, and students' responses to the tool testing also show a "Very Good" category. Thus, the IoT-based landslide detection alarm prototype has been well-developed and is suitable for use in physics education at the secondary school level.

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Section: Figure 2 Gy-9250 Sensor Modulementioning

confidence: 99%

Prototype of landslide detection alarm based on IoT (Internet of Things) as a physics learning medium

Anisa,

Rahman,

Saehana

2024

joease

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“…Industrial processes may be automated, made more efficient, and decision-making can be improved by utilizing IoT to link and communicate with physical items via the internet. IoT-enabled sensors, for instance, may be used to monitor a variety of systems, including network monitoring systems [8], [9],  ISSN: 2502-4752 Indonesian J Elec Eng & Comp Sci, Vol. 30, No.…”

Section: Introductionmentioning

confidence: 99%

Utilizing deep neural network for web-based blood glucose level prediction system

Alfian

Saputra

Subekti

et al. 2023

IJEECS

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Machine learning algorithms can be used to forecast future blood glucose (BG) levels for diabetes patients, according to recent studies. In this study, dataset from continuous glucose monitoring (CGM) system was used as the sole input for the machine learning models. To forecast blood glucose levels 15, 30, and 45 minutes in the future, we suggested deep neural network (DNN) and tested it on 7 patients with type 1 diabetes (T1D). The suggested prediction model was evaluated against a variety of machine learning models, such as k-nearest neighbor (KNN), support vector regression (SVR), decision tree (DT), adaptive boosting (AdaBoost), random forest (RF), and eXtreme gradient boosting (XGBoost). The experimental findings demonstrated that the proposed DNN model outperformed all other models, with average root mean square errors (RMSEs) of 17.295, 25.940, and 35.146 mg/dL over prediction horizons (PHs) of 15, 30, and 45 minutes, respectively. Additionally, we have included the suggested prediction model in web-based blood glucose level prediction tools. By using this web-based system, patients may readily acquire their future blood glucose levels, allowing for the generation of preventative alarms prior to crucial hypoglycemia or hyperglycemic situations.

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“…The development of the Internet of Things (IoT) in the current and voltage monitoring systems is getting wider so as to minimize over-discharge. The Internet of Things (IoT) is a development concept on the internet, where the physical system (hardware) in this case is a microcontroller connected to the internet network [6]. The use of IoT can monitor remotely and will regulate the battery charging and discharging mechanism in the PLTS configuration so that the continuity of inverter operation can be maintained in supplying the load.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Current and Voltage in PLTS On-Grid System Based on Internet of Things (IoT) Using Telegram Application

Haryudo,

Sulistyo,

Wiyono

et al. 2023

Proceedings of the 4th Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2022, 20 October 202

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Utilization of solar energy through solar power plants is the right solution to reducing dependence on conventional energy consumption. The amount of electrical energy used can be controlled by mobile devices using the Internet of Things (IoT). The utilization of the Telegram application for monitoring the current and voltage of solar energy-based electrical energy is a new method. This study aims to develop an IoT-based PLTS current and voltage monitoring tool for the PLN On Grid system with the Telegram application. The source of voltage in this study comes from PLN and solar panels. The research method uses an experimental approach by collecting current and voltage data through direct test monitoring using a multimeter and the Telegram application. Telegram Bot is a social media application used to send commands to electrical loads and receive feedback in the form of current (A) and voltage (V) parameters. The test was carried out with a model without a load and with a load. The results of monitoring the current and voltage produced by PLTS based on Telegram data and measurements using a multimeter are not much different. The average percentage value of error between DC source measuring instruments is 0.02%, and that between AC sources is 0.114%. The development of IoT-based current and voltage monitoring is very effective because it can facilitate the monitoring of PV mini-grids.

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Development of a low-cost IoT system based on LoRaWAN for monitoring variables related to electrical energy consumption in low voltage networks

Cited by 8 publications

References 12 publications

Prototype of landslide detection alarm based on IoT (Internet of Things) as a physics learning medium

Prototype of landslide detection alarm based on IoT (Internet of Things) as a physics learning medium

Utilizing deep neural network for web-based blood glucose level prediction system

Monitoring Current and Voltage in PLTS On-Grid System Based on Internet of Things (IoT) Using Telegram Application

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