Data Acquisition System Development for a Hydraulic Plant using Hybrid Communication Network based on LoRa

Medeiros, Emmanuel Leite de; Filho, Carlos Alberto de Souza; Carvalho, Fabrício Braga Soares de; Cruz, Rossana Moreno Santa; Moreira, Cleomar da Silva

doi:10.1109/i2mtc.2019.8827080

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Among them, a considerable number of applications is based on systems with reduced data stream between devices, which are, therefore, already adapted to the current context of LPWAN. Applications such as location and activity monitoring system [6]; an atmospheric pollutant monitoring system [7]; an acquisition system for a hydraulic plant [8]; a tracking and monitoring system for lightweight boats [9]; and a manhole cover monitoring device [10], among several others proposals published by researchers from all around the world. However, a second group of WSN, in opposition, requires more robust data flows to monitor/control their specific tasks, being much more impacted by current technological limitations -and therefore much more prone to push development forward and overcome those limitations [11], [12].…”

Section: Introductionmentioning

confidence: 99%

LoRa System for Monitoring and Facial Recognition

Medeiros

Carvalho

Lopes

2021

JCIS

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With the increasing tendency of incorporating technology into environments and activities in everyday life, new methods are being proposed to better integrate devices and mankind. Networks designed for monitoring areas through video and image systems are being implemented in several applications. Recent studies have shown interest from both the academy and industry to integrate wireless surveillance networks with lowcost and long range transmission technologies, such as LoRa (Long Range). With the intention to explore this topic, this work presents the development of a system prototype for intelligent monitoring as a basis to future implementation of low-cost LoRabased Wireless Image Sensor Networks (WISN). The developed system consists of a processing unit, a data routing interface and multiple sensor nodes. Its operation is autonomous and initiated through the detection of human presence, by the sensor node, capturing an image of the individuals present at each detection. The data is transmitted through LoRa devices to the central hub, where python-based methods of facial detection and recognition are employed. Several tests were performed to both adjust the system and to verify its efficiency. The results achieved indicate the viability of the proposed low-cost LoRa-based WISN.

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Section: Introductionmentioning

confidence: 99%

LoRa System for Monitoring and Facial Recognition

Medeiros

Carvalho

Lopes

2021

JCIS

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“…Here, in order to overcome the limitations of transmission coverage, the authors suggest a multi-hop linear topology supported by an appropriately adapted synchronisation protocol. Other examples of distributed plants and systems monitored by means of a LoRabased solution are provided in [9] and [10]. At the same time, LoRa has been adopted to support sensor network solutions aimed at human monitoring, as presented in [11], where a wearable system for noise assessment in the workplace is proposed, which makes it possible to notify a subject of a potentially dangerous exposure to high noise levels for a prolonged period of time.…”

Section: Introductionmentioning

confidence: 99%

A field-measurements-based LoRa network planning tool

2020

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Long range (LoRa) transmission technology enables energy-constrained devices such as the tiny sensor systems used in internet-of-things applications that are distributed over wide areas while still being able to establish appropriate connectivity. This has resulted in the development of an exponentially increasing number of different solutions and services based on LoRa, be they dedicated to the long-term monitoring of distributed plants and infrastructures or to human-centred applications such as safety-oriented sensor systems for use in the workplace. In dense LoRa networks, predicting the number of supported nodes in relation to their position and the propagation environment is essential for ensuring reliable and stable communication and minimising costs. In this paper, after comparing different path loss models based on a field measurement campaign for LoRa received signal strength indicator values within a university campus, two main modifications of the LoRa simulator tool were implemented. These were aimed at improving the accuracy of the prediction of the number of sustainable nodes in relation to the target data extraction rate set. The simulations based on field measurements demonstrated that through an improved path loss evaluation and the use of three gateways, the number of nodes could be increased theoretically from around 100 to around 6,000.

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