The Amazon region has the largest hydrographic basin in the world. The rivers act as roads, and boats serve as vehicles for transporting passengers and cargo to large urban centers, municipalities, riverside communities, villages, and settlements. The Amazon River transportation system faces critical gaps due to the lack of land infrastructure in certain areas, which makes rivers essential for commerce and access to isolated communities. This work proposes the development of a new hardware platform consisting of a system-in-package (SiP)—iMCP HTLRBL32L and GPS, which enables data transfer over a network with long-range LoRa technology. In addition, we developed a new communication protocol between the end devices called the LoRa Protocol Proprietary (LPP). This protocol allows parameterizable commands (location table, modulation, routing, source and destination DevEUI, and port) to be sent between end devices, providing flexibility in the configuration and management of Internet of Things networks. The results of the practical experiments with the new hardware platform in the communication scenario between the end device and the gateway show that the maximum range was 16.928 km. In the communication scenario between the end devices, the maximum range was 12.447 km. It offers a stable platform for exchanging control information, which is fundamental to the safety of river transport in the Amazon.

The implementation of renewable energy-based solutions in isolated communities in the Brazilian Amazon faces several challenges, including the maintenance and operation of energy systems. Many of these technologies require ongoing operational management and specialized technical knowledge, which are not always available locally and can compromise the sustainable operation of these systems. Distributed Energy Resource Management Systems (DERMS) have emerged as a solution to this problem, allowing a qualified team in an urban center to manage these resources remotely. Connectivity is crucial to the success of these systems. This study investigated whether Low-power Wide-area Networks (LPWAN) can enhance the connectivity layer of a DERMS installed in the Amazon. The LPWAN technology evaluated was LoRa. The metrics analyzed on the LoRa link included radio signal strength (RSSI) and signal-to-noise ratio (SNR). The tests were conducted at two different geographical locations within the forest, in different seasons. They installed a mobile node to collect environmental information and assess the transmission quality metrics. Aspects such as the range, reliability, and robustness of wireless communication were analyzed, focusing on resilience to adverse weather conditions and considering environmental variables such as temperature and humidity. The tests showed significant differences in signal quality between the two locations evaluated and correlations between environmental variables and signal strength. The findings of this research contribute to the operation of DERMS in isolated communities in the Amazon and help maintain their functionality with low maintenance and exposure to rainforest conditions.

O artigo demonstra a relação entre as camadas da arquitetura RAMI 4.0 com o OEE (Overall Equipment Effectiveness), a partir de uma análise bibliométrica com parâmetros de busca específicos nas bases Scopus e Web of Science. Em outra vertente da pesquisa, foi realizado estudo de caso em uma empresa do Polo Industrial de Manaus, do setor de termoplásticos, por meio do qual as relações identificadas na literatura puderam ser medidas. Os resultados apontam que determinadas camadas (integração e comunicação) tem maior impacto nas ocorrências relacionadas ao OEE no componente Performance (queda de velocidade, pequenas paradas e ociosidades). A camada Integração contempla os aspectos tecnológicos ligados à transição físico-digital, as quais foram legitimadas pelo estudo de caso no processo de digitalização desenvolvido. Os resultados apontaram para melhor agilidade e responsividade do processo produtivo com melhoria do componente performance do OEE