241 research outputs found

    Monitoring Temperatur Motor Induksi Tiga Fasa Pada Industri Kimia Menggunakan Internet of Things (IoT)

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    Motor induksi merupakan jenis motor yang paling banyak digunakan di dunia. Secara spesifik, motor induksi yang digunakan adalah motor induksi tiga fasa. Sebanyak 95% motor induksi yang digunakan sebagai penggerak dalam industri. Namun, biaya yang digunakan untuk pemeliharaan cukup besar hingga membutuhkan biaya lebih dari 50% biaya operasi industri atau pabrik itu sendiri. Cara untuk mencegah kerugian dengan mendeteksi kesalahan awal pada motor induksi. Salah satu cara untuk mendeteksi kesalahan awal pada motor induksi dengan mendeteksi temperatur motor induksi. Beragam cara dapat digunakan untuk mendeteksi temperatur motor induksi seperti dengan menggunakan RTD maupun thermal camera. Namun hal ini kurang efektif karena harus dilakukan di tempat beradanya motor induksi. Untuk mengatasi hal ini dibuatlah sistem monitoring temperatur motor induksi tiga fasa berbasis Internet of Things (IoT). Sistem ini menggunakan komponen berupa ESP32, sensor temperatur AMG8833, driver motor L293D, geared DC motor, dan lead screw Sistem ini bekerja secara terus-menerus dan real-time. Kata kunci :monitoring, temperatur, motor induksi, Internet of Thing

    A Framework for Industry 4.0

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    The potential of the Industry 4.0 will allow the national industry to develop all kinds of procedures, especially in terms of competitive differentiation. The prospects and motivations behind Industry 4.0 are related to the management that is essentially geared towards industrial internet, to the integrated analysis and use of data, to the digitalization of products and services, to new disruptive business models and to the cooperation within the value chain. It is through the integration of Cyber-Physical Systems (CPS), into the maintenance process that it is possible to carry out a continuous monitoring of industrial machines, as well as to apply advanced techniques for predictive and proactive maintenance. The present work is based on the MANTIS project, aiming to construct a specific platform for the proactive maintenance of industrial machines, targeting particularly the case of GreenBender ADIRA Steel Sheet. In other words, the aim is to reduce maintenance costs, increase the efficiency of the process and consequently the profit. Essentially, the MANTIS project is a multinational research project, where the CISTER Research Unit plays a key role, particularly in providing the communications infrastructure for one MANTIS Pilot. The methodology is based on a follow-up study, which is jointly carried with the client, as well as within the scope of the implementation of the ADIRA Pilot. The macro phases that are followed in the present work are: 1) detailed analysis of the business needs; 2) preparation of the architecture specification; 3) implementation/development; 4) tests and validation; 5) support; 6) stabilization; 7) corrective and evolutionary maintenance; and 8) final project analysis and corrective measures to be applied in future projects. The expected results of the development of such project are related to the integration of the industrial maintenance process, to the continuous monitoring of the machines and to the application of advanced techniques of preventive and proactive maintenance of industrial machines, particularly based on techniques and good practices of the Software Engineering area and on the integration of Cyber-Physical Systems.O potencial desenvolvido pela Indústria 4.0 dotará a indústria nacional de capacidades para desenvolver todo o tipo de procedimentos, especialmente a nível da diferenciação competitiva. As perspetivas e as motivações por detrás da Indústria 4.0 estão relacionadas com uma gestão essencialmente direcionada para a internet industrial, com uma análise integrada e utilização de dados, com a digitalização de produtos e de serviços, com novos modelos disruptivos de negócio e com uma cooperação horizontal no âmbito da cadeia de valor. É através da integração dos sistemas ciber-físicos no processo de manutenção que é possível proceder a um monitoramento contínuo das máquinas, tal como à aplicação de técnicas avançadas para a manutenção preditiva e pró-ativa das mesmas. O presente trabalho é baseado no projeto MANTIS, objetivando, portanto, a construção de uma plataforma específica para a manutenção pró-ativa das máquinas industriais, neste caso em concreto das prensas, que serão as máquinas industriais analisadas ao longo do presente trabalho. Dito de um outro modo, objetiva-se, através de uma plataforma em específico, reduzir todos os custos da sua manutenção, aumentando, portanto, os lucros industriais advindos da produção. Resumidamente, o projeto MANTIS consiste num projeto de investigação multinacional, onde a Unidade de Investigação CISTER desenvolve um papel fundamental, particularmente no fornecimento da infraestrutura de comunicação no Piloto MANTIS. A metodologia adotada é baseada num estudo de acompanhamento, realizado em conjunto com o cliente, e no âmbito da implementação do Piloto da ADIRA. As macro fases que são compreendidas por esta metodologia, e as quais serão seguidas, são: 1) análise detalhada das necessidades de negócio; 2) preparação da especificação da arquitetura; 3) implementação/desenvolvimento; 4) testes e validação; 5) suporte; 6) estabilização; 7) manutenção corretiva e evolutiva; e 8) análise final do projeto e medidas corretivas a aplicar em projetos futuros. Os resultados esperados com o desenvolvimento do projeto estão relacionados com a integração do processo de manutenção industrial, a monitorização contínua das máquinas e a aplicação de técnicas avançadas de manutenção preventiva e pós-ativa das máquinas, especialmente com base em técnicas e boas práticas da área de Engenharia de Software

    Development of industrial IoT based monitoring and control system for radio broadcasting network in Tanzania: a case of Tanzania broadcasting corporation

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    A Final Project Report Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Embedded and Mobile System of the Nelson Mandela African Institution of Science and TechnologyThe radio towers must be constructed in sharp elevations or mountains to ensure the maximum radio wave propagation and long-distance coverage of the radio station programs. Due to the sharp elevation positioning of radio towers, the tower operators or technicians are required to climb up every day to be able to take readings of the equipment. Strenuous and daily effort is needed to access these sharp locations either on foot or by car. A need to develop and implement a system that will monitor and send earlier notifications information on the status of the transmitter to the responsible tower operators. Therefore, this project aims to develop an IIoT based monitoring and control system for terrestrial broadcasting networks with outdated technology of Fm transmitter equipment which isstill used in Tanzania. As a result, the solution will effectively and timely assist tower operators to monitor, collecting information understanding and the existing problems that are happening at the radio towers without physically climbing to the radio towers. In addition, the system is cost-effective and collect information in real-time based as it is integrated with a mobile application in a smart device that is linked to the embedded system which is installed in a specific tower to monitor parameters such as forward power, reflected power, electrical units, fuel level, temperature, humidity, and smoke. This study has used a mixed-design approach of quantitative and qualitative methods using focus group discussions with 20 stakeholders to evaluate the developed system. The result of the evaluation shows that 90% of the respondents agreed that the developed system is robust and appropriate to manage the existing challenges at the radio towers.The radio towers must be constructed in sharp elevations or mountains to ensure the maximum radio wave propagation and long-distance coverage of the radio station programs. Due to the sharp elevation positioning of radio towers, the tower operators or technicians are required to climb up every day to be able to take readings of the equipment. Strenuous and daily effort is needed to access these sharp locations either on foot or by car. A need to develop and implement a system that will monitor and send earlier notifications information on the status of the transmitter to the responsible tower operators. Therefore, this project aims to develop an IIoT based monitoring and control system for terrestrial broadcasting networks with outdated technology of Fm transmitter equipment which isstill used in Tanzania. As a result, the solution will effectively and timely assist tower operators to monitor, collecting information understanding and the existing problems that are happening at the radio towers without physically climbing to the radio towers. In addition, the system is cost-effective and collect information in real-time based as it is integrated with a mobile application in a smart device that is linked to the embedded system which is installed in a specific tower to monitor parameters such as forward power, reflected power, electrical units, fuel level, temperature, humidity, and smoke. This study has used a mixed-design approach of quantitative and qualitative methods using focus group discussions with 20 stakeholders to evaluate the developed system. The result of the evaluation shows that 90% of the respondents agreed that the developed system is robust and appropriate to manage the existing challenges at the radio towers

    Selection of a new hardware and software platform for railway interlocking

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    The interlocking system is one of the main actors for safe railway transportation. In most cases, the whole system is supplied by a single vendor. The recent regulations from the European Union direct for an “open” architecture to invite new game changers and reduce life-cycle costs. The objective of the thesis is to propose an alternative platform that could replace a legacy interlocking system. In the thesis, various commercial off-the-shelf hardware and software products are studied which could be assembled to compose an alternative interlocking platform. The platform must be open enough to adapt to any changes in the constituent elements and abide by the proposed baselines of new standardization initiatives, such as ERTMS, EULYNX, and RCA. In this thesis, a comparative study is performed between these products based on hardware capacity, architecture, communication protocols, programming tools, security, railway certifications, life-cycle issues, etc

    Flexi-WVSNP-DASH: A Wireless Video Sensor Network Platform for the Internet of Things

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    abstract: Video capture, storage, and distribution in wireless video sensor networks (WVSNs) critically depends on the resources of the nodes forming the sensor networks. In the era of big data, Internet of Things (IoT), and distributed demand and solutions, there is a need for multi-dimensional data to be part of the Sensor Network data that is easily accessible and consumable by humanity as well as machinery. Images and video are expected to become as ubiquitous as is the scalar data in traditional sensor networks. The inception of video-streaming over the Internet, heralded a relentless research for effective ways of distributing video in a scalable and cost effective way. There has been novel implementation attempts across several network layers. Due to the inherent complications of backward compatibility and need for standardization across network layers, there has been a refocused attention to address most of the video distribution over the application layer. As a result, a few video streaming solutions over the Hypertext Transfer Protocol (HTTP) have been proposed. Most notable are Apple’s HTTP Live Streaming (HLS) and the Motion Picture Experts Groups Dynamic Adaptive Streaming over HTTP (MPEG-DASH). These frameworks, do not address the typical and future WVSN use cases. A highly flexible Wireless Video Sensor Network Platform and compatible DASH (WVSNP-DASH) are introduced. The platform's goal is to usher video as a data element that can be integrated into traditional and non-Internet networks. A low cost, scalable node is built from the ground up to be fully compatible with the Internet of Things Machine to Machine (M2M) concept, as well as the ability to be easily re-targeted to new applications in a short time. Flexi-WVSNP design includes a multi-radio node, a middle-ware for sensor operation and communication, a cross platform client facing data retriever/player framework, scalable security as well as a cohesive but decoupled hardware and software design.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201

    AI Knowledge Transfer from the University to Society

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    AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campu

    AI Knowledge Transfer from the University to Society

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    AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campu

    Static correction of Maude programs with assertions

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    [Otros] In this paper, we present a novel transformation method for Maude programs featuring both automatic program diagnosis and correction. The input of our method is a reference specification of the program behavior that is given in the form of assertions together with an overly general program whose execution might violate the assertions. Our correction technique translates into a refined program in which every computation is also a computation in that satisfies the assertions of . The technique is first formalized for topmost rewrite theories, and then we generalize it to larger classes of rewrite theories that support nested structured configurations. Our technique copes with infinite space states and does not require the knowledge of any failing run. We report experiments that assess the effectiveness of assertion-driven correction.This work has been partially supported by the EU (FEDER) and the Spanish Ministerio de Economia y Competitividad under grant TIN2015-69175-C4-1-R, and by Generalitat Valenciana PROMETEOII/2015/013 and PROMETEO/2019/098Alpuente Frasnedo, M.; Ballis, D.; Sapiña-Sanchis, J. (2019). Static correction of Maude programs with assertions. Journal of Systems and Software. 153:64-85. https://doi.org/10.1016/j.jss.2019.03.061S648515

    A Common Digital Twin Platform for Education, Training and Collaboration

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    The world is in transition driven by digitalization; industrial companies and educational institutions are adopting Industry 4.0 and Education 4.0 technologies enabled by digitalization. Furthermore, digitalization and the availability of smart devices and virtual environments have evolved to pro- duce a generation of digital natives. These digital natives whose smart devices have surrounded them since birth have developed a new way to process information; instead of reading literature and writing essays, the digital native generation uses search engines, discussion forums, and on- line video content to study and learn. The evolved learning process of the digital native generation challenges the educational and industrial sectors to create natural training, learning, and collaboration environments for digital natives. Digitalization provides the tools to overcome the aforementioned challenge; extended reality and digital twins enable high-level user interfaces that are natural for the digital natives and their interaction with physical devices. Simulated training and education environments enable a risk-free way of training safety aspects, programming, and controlling robots. To create a more realistic training environment, digital twins enable interfacing virtual and physical robots to train and learn on real devices utilizing the virtual environment. This thesis proposes a common digital twin platform for education, training, and collaboration. The proposed solution enables the teleoperation of physical robots from distant locations, enabling location and time-independent training and collaboration in robotics. In addition to teleoperation, the proposed platform supports social communication, video streaming, and resource sharing for efficient collaboration and education. The proposed solution enables research collaboration in robotics by allowing collaborators to utilize each other’s equipment independent of the distance between the physical locations. Sharing of resources saves time and travel costs. Social communication provides the possibility to exchange ideas and discuss research. The students and trainees can utilize the platform to learn new skills in robotic programming, controlling, and safety aspects. Cybersecurity is considered from the planning phase to the implementation phase. Only cybersecure methods, protocols, services, and components are used to implement the presented platform. Securing the low-level communication layer of the digital twins is essential to secure the safe teleoperation of the robots. Cybersecurity is the key enabler of the proposed platform, and after implementation, periodic vulnerability scans and updates enable maintaining cybersecurity. This thesis discusses solutions and methods for cyber securing an online digital twin platform. In conclusion, the thesis presents a common digital twin platform for education, training, and collaboration. The presented solution is cybersecure and accessible using mobile devices. The proposed platform, digital twin, and extended reality user interfaces contribute to the transitions to Education 4.0 and Industry 4.0

    Yhteisöllinen energiatehokkuus mobiililaitteilla

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    We have created a mobile energy measurement application and gathered energy measurement data from over 725,000 devices, running over 300,000 applications, in heterogeneous environments, and constructed models of what is normal in each context for each application. We have used this data to find energy abnormalities in the wild, and provide users of our application advice on how to deal with them. These abnormalities cannot be discovered in laboratory conditions due to the rich interaction of the smartphone and its operating environment. Employing a collaborative mobile energy awareness application with thousands of users allows us to gather a large amount of data in a short time. Such a large and diverse dataset has helped us answer many research questions. Our work is the first collaborative approach in the area of mobile energy debugging. Information received from each device running our application improves the advice given to other users running the same applications. The author has developed a context data gathering hub for smartphones, discovered the need for a common API that unifies network connectivity, energy awareness, and user experience, and investigated the impact of mobile collaborative energy awareness applications, to find previously unknown energy bugs on smartphones, and to improve users' knowledge of smartphone energy behavior.Viime vuosien aikana älypuhelinten laitteistot ovat kehittyneet entistä tehokkaammiksi, mutta akkuteknologia ei ole kehittynyt yhtä nopeasti. Tämä on synnyttänyt tarpeen tehostaa sekä laitteiston että ohjelmiston energiatehokkuutta. Älypuhelimen energiatehokkuuden optimointi on haastavaa, koska toimintaympäristö on moninainen ja käsittää paitsi laitteiston ja sen asetukset, niin myös sovellukset, jotka käyttävät laitteiston toimintoja. Tässä väitöstyössä on keskitytty mobiililaitteiden energiaongelmien ja poikkeamien löytämiseen ja niiden korjaamiseen. Väitöskirja käsittelee yhteisöllisen metodin käyttöä energiankulutukseen liittyvien epätehokkuuksien löytämisessä ja korjaamisessa mobiililaitteilla. Tätä metodia on ensimmäistä kertaa sovellettu mobiililaitteille väitöstyöhön liittyvässä Carat-projektissa. Projektissa on luotu energianmittaussovellus mobiililaitteille ja kerätty energiamittauksia yli 725 000 laitteelta ja 300 000 sovelluksesta monipuolisissa ympäristöissä. Näiden pohjalta on tehty malleja sovellusten normaalista energiankulutuksesta eri konteksteissa. Tietojen ja mallien avulla on löydetty energiapoikkeavuuksia tavallisessa käytössä olevilta laitteilta ja annettu sovelluksen käyttäjille neuvoja poikkeavuuksien korjaamiseen. Väitöstyön aikana kerätty suurikokoinen ja monipuolinen aineisto on auttanut vastaamaan moniin kysymyksiin koskien älypuhelinten energiankulutusta arkikäytössä. Kaikkia poikkeavuuksia ei voida löytää laboratorio-olosuhteissa, sillä mobiililaitteen ympäristö vaikuttaa vahvasti sen toimintaan. Esitetty menetelmä on ensimmäinen, joka soveltaa yhteisöllistä lähestymistapaa mobiililaitteiden energiaongelmien löytämiseen. Kirjoittaja on kehittänyt kontekstitietojen keräysratkaisun älypuhelimille. Hän on huomannut tarpeen järjestelmälle, joka yhdistää mobiililaitteen tilanteen, käytön, energiatehokkuuden ja käyttäjäkokemuksen. Työssä on kehitetty uusi menetelmä energiapoikkeamien analyysiin yhteisöllisesti kerättyjen mittausten perusteella sekä tutkittu energiatehokkuussovellusten vaikutusta eri mobiililaitteilla. Näiden avulla on löydetty ennen tuntemattomia energiaongelmia älypuhelimista ja parannettu käyttäjien ymmärrystä älypuhelinten energiakäyttäytymisestä
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