Navegando por Assunto "Industry 4.0"

Agora exibindo 1 - 3 de 3

Acesso aberto (Open Access)
Desenvolvimento de sensor piezorresistivo nanoestruturado impresso em 3D
(Universidade Federal do Pará, 2023-07-05) QUARESMA, Luciano José Barbosa; REIS, Marcos Allan Leite dos; http://lattes.cnpq.br/8252507933374637; https://orcid.org/0000-0003-2226-2653; FEIO, Waldeci Paraguassu; http://lattes.cnpq.br/3512689932467320; https://orcid.org/0000-0003-4980-4694
The emergence of smart factories based on Industry 4.0 increases the automation and optimization of industrial processes in production chains. In this context, the integration between physical and digital systems depends on intelligent sensors, with greater sensitivity and integrated by the Internet of Things (IoT). The literature indicates that piezoresistive sensors can be produced by additive manufacturing (AM) and nanostructured with carbon nanotubes (NTCs), which generate a nanoelectromechanical system (NEMS) after its dispersion in the material. Thus, this work presents the development of a low-cost piezoresistive nanoelectromechanical sensor, produced by applying layers of NTCs on poly(acrylonitrile-butadiene-styrene) (ABS) parts printed by fused deposition modeling (FDM), integrable to the Industry 4.0 via IoT through ESP32 microcontrollers. For this, a diaphragm-type sensor device with dimensions 17.8, 17.8 and 5.5 𝑚𝑚 was developed, whose sensor element deformation occurs by pressing a button. After MA printing of the device parts, carboxylic acid functionalized multi-walled CNTs (MWCNT-COOH) were dispersed by ultrasonic bath in a solution with a concentration of 1 𝑚𝑔/𝑚𝑙 of acetone and dimethylformamide, in a ratio of 1 ∶ 1 in volume, for coating the sensor elements in successive layers with an aerograph. After the deposition of five layers of CNTs on the polymeric substrate, measurements of electrical resistance obtained with a picoammeter showed the percolation of the material in the second layer, with initial values above 10 𝑇 Ω and final values below 100 𝑘 𝑂𝑚𝑒𝑔𝑎 after the fifth layer, which occurs by the formation of conduction channels originating from the random arrangement of CNTs on the ABS surface, as observed by Field Emission Scanning Electron Microscopy (FEG-SEM). After that, the electrical resistance was measured during pressure cycles with progressive load and with maximum load, in which the sensor elements presented an operating range of 139.97 ± 0.46 to 363.25 ± 0.39 𝑘𝑃 𝑎. In the first test, the minimum sensitivity of 0.1 % and maximum sensitivity of 1.16 %. In the second, the highest average sensitivity was 0.63 ± 0.04 % and the lowest average response and recovery times were 0.55 ± 0.29 𝑠 and 12.29 ± 1.44 𝑠, respectively. Raman spectroscopy showed the overlapping of the signals of each material, in particular the ABS band at 1447 𝑐𝑚−1 which appears prominently between the NTCs 𝐷 and 𝐺 bands. Based on the piezoresistive response that the material presented from the NEMS generated by the deposition of NTCs on ABS, this concept of a load cell can be integrated into an ESP32 microcontroller board, making it an intelligent device with potential application in industrial systems. 4.0.
Acesso aberto (Open Access)
Identificação e quantificação de desplacamento cerâmico em fachadas de edifícios no contexto da indústria 4.0
(Universidade Federal do Pará, 2023-03-24) SOUSA, Alcineide Dutra Pessoa de; MAUÉS, Luiz Maurício Furtado; http://lattes.cnpq.br/7497951647889934; https://orcid.org/0000-0002-1762-8617
The facade maintenance process is guided by the results obtained in the inspection phase. Some proposals for methods aimed at improving the inspection process have been discussed, and among these, those that are conducted based on Digital Image Processing (PDI) techniques captured by Unmanned Aerial Vehicle (UAV) stand out. The use of UAVs to capture images on facades streamlines access to the inspected area, and PDI techniques help to automate the process of identifying pathological manifestations. In addition, the fourth industrial revolution has allowed the use of various technological tools in the most varied engineering applications. Among these technologies we can mention cloud computing and computer vision algorithms. In this context, this research aims to apply PDI techniques to detect regions with ceramic displacement on building facades using technologies relevant to industry 4.0 (fourth industrial revolution). The methodological procedure used starts with the formation of a database (images) captured by cell phone and UAV. For modeling purposes, the YOLO (You Only Look Once) object detection algorithm was applied to the images that make up the database using cloud computing. The applied methodology resulted in a program written in python capable of identifying the regions with displacement, quantifying the missing ceramics and exporting the quantification results in a spreadsheet. The identification process had success rates close to 99% and the quantification errors of less than one ceramic per image, which leads to the conclusion of the feasibility of the proposed computational program
Acesso aberto (Open Access)
Indústria 4.0: a inteligência artificial aliada aos cuidados com a saúde no atendimento ao paciente em hospitais universitários federais no âmbito da Amazônia Legal
(Universidade Federal do Pará, 2023-07-17) NOGUEIRA, Vanessa Letícia de Vasconcelos; CARMO, Annibal José Roris Rodriguez Scavarda do; http://lattes.cnpq.br/6070280268935110; SCHIMITH, Cristiano Descovi; http://lattes.cnpq.br/7017921569470426; https://orcid.org/0000-0002-2545-942X
Research into the subject of Artificial Intelligence (AI) has grown over the last five years as a result of an event known as the 4th Industrial Revolution, or also known as Industry 4.0. Artificial intelligence is playing an increasingly important role in the treatment of patients in various areas of medicine. The aim of this research was to identify how the use of Artificial Intelligence (AI) has contributed to patient care. To this end, a literature review was carried out in order to research the theoretical framework that underpins the construction of the research. A framework was then drawn up based on the main theoretical approaches in the current literature. In conjunction, field research was carried out, which included an empirical investigation in the place where the phenomenon occurs, using a semi-structured interview script with health professionals working in Federal University Hospitals (HUFs) located in the Legal Amazon region. The research is justified by the need to improve patient care in the HUFs, with the aim of contributing to new models of service provision. The data obtained from the interviews with professionals at these hospitals was compared with the results from the literature review, and the empirical characteristics of the research brought out positive and negative points in relation to their use of AI in patient care. As a solution, this research presents a model to support patient care with the insertion of AI in HUFS, considering the concept of mimetic isomorphism, in which this practice tends to be homogenized or standardized imminently through its consolidation in the market.